From 13ad9169bd81afa5aab610d7a308a39ddf81d074 Mon Sep 17 00:00:00 2001 From: Yika Date: Thu, 24 Oct 2024 18:48:57 -0700 Subject: [PATCH 001/152] Upload all cloud credentials to sky cluster regardless of sky check (#4165) * Upload all cloud credentials to sky cluster regardless of sky check * address comments * nit Co-authored-by: Zhanghao Wu --------- Co-authored-by: Zhanghao Wu --- sky/check.py | 15 +++++++++++---- sky/clouds/oci.py | 2 +- 2 files changed, 12 insertions(+), 5 deletions(-) diff --git a/sky/check.py b/sky/check.py index 9ac2848733c..dcaa349d234 100644 --- a/sky/check.py +++ b/sky/check.py @@ -1,4 +1,5 @@ """Credential checks: check cloud credentials and enable clouds.""" +import os import traceback from types import ModuleType from typing import Dict, Iterable, List, Optional, Tuple, Union @@ -194,19 +195,25 @@ def get_cached_enabled_clouds_or_refresh( def get_cloud_credential_file_mounts( excluded_clouds: Optional[Iterable[sky_clouds.Cloud]] ) -> Dict[str, str]: - """Returns the files necessary to access all enabled clouds. + """Returns the files necessary to access all clouds. Returns a dictionary that will be added to a task's file mounts and a list of patterns that will be excluded (used as rsync_exclude). """ - enabled_clouds = get_cached_enabled_clouds_or_refresh() + # Uploading credentials for all clouds instead of only sky check + # enabled clouds because users may have partial credentials for some + # clouds to access their specific resources (e.g. cloud storage) but + # not have the complete credentials to pass sky check. + clouds = sky_clouds.CLOUD_REGISTRY.values() file_mounts = {} - for cloud in enabled_clouds: + for cloud in clouds: if (excluded_clouds is not None and sky_clouds.cloud_in_iterable(cloud, excluded_clouds)): continue cloud_file_mounts = cloud.get_credential_file_mounts() - file_mounts.update(cloud_file_mounts) + for remote_path, local_path in cloud_file_mounts.items(): + if os.path.exists(os.path.expanduser(local_path)): + file_mounts[remote_path] = local_path # Currently, get_cached_enabled_clouds_or_refresh() does not support r2 as # only clouds with computing instances are marked as enabled by skypilot. # This will be removed when cloudflare/r2 is added as a 'cloud'. diff --git a/sky/clouds/oci.py b/sky/clouds/oci.py index 810e43fe3b5..c6451a73a1f 100644 --- a/sky/clouds/oci.py +++ b/sky/clouds/oci.py @@ -468,7 +468,7 @@ def get_credential_file_mounts(self) -> Dict[str, str]: api_key_file = oci_cfg[ 'key_file'] if 'key_file' in oci_cfg else 'BadConf' sky_cfg_file = oci_utils.oci_config.get_sky_user_config_file() - except ImportError: + except (ImportError, oci_adaptor.oci.exceptions.ConfigFileNotFound): return {} # OCI config and API key file are mandatory From 149713e9acde77df6d40ee17cd2cd6bd349d5edc Mon Sep 17 00:00:00 2001 From: Yika Date: Thu, 24 Oct 2024 20:06:02 -0700 Subject: [PATCH 002/152] [Performance] Allow users to pass in Azure community images at --image-id (#4145) * Allow users to pass in community image as image-id * Add image fallback * Address comments * address comments * Resolve region failover * address comments --- sky/clouds/azure.py | 136 +++++++++++++------- sky/clouds/service_catalog/azure_catalog.py | 15 +++ sky/clouds/utils/azure_utils.py | 91 +++++++++++++ sky/resources.py | 1 + tests/unit_tests/test_azure_utils.py | 21 +++ 5 files changed, 214 insertions(+), 50 deletions(-) create mode 100644 sky/clouds/utils/azure_utils.py create mode 100644 tests/unit_tests/test_azure_utils.py diff --git a/sky/clouds/azure.py b/sky/clouds/azure.py index adffd32ad88..d91f589ca8f 100644 --- a/sky/clouds/azure.py +++ b/sky/clouds/azure.py @@ -15,6 +15,7 @@ from sky import sky_logging from sky.adaptors import azure from sky.clouds import service_catalog +from sky.clouds.utils import azure_utils from sky.utils import common_utils from sky.utils import resources_utils from sky.utils import ux_utils @@ -36,6 +37,15 @@ _DEFAULT_AZURE_UBUNTU_HPC_IMAGE_GB = 30 _DEFAULT_AZURE_UBUNTU_2004_IMAGE_GB = 150 +_DEFAULT_SKYPILOT_IMAGE_GB = 30 + +_DEFAULT_CPU_IMAGE_ID = 'skypilot:gpu-ubuntu-2204' +_DEFAULT_GPU_IMAGE_ID = 'skypilot:gpu-ubuntu-2204' +_DEFAULT_V1_IMAGE_ID = 'skypilot:v1-ubuntu-2004' +_DEFAULT_GPU_K80_IMAGE_ID = 'skypilot:k80-ubuntu-2004' +_FALLBACK_IMAGE_ID = 'skypilot:gpu-ubuntu-2204' + +_COMMUNITY_IMAGE_PREFIX = '/CommunityGalleries' def _run_output(cmd): @@ -132,29 +142,56 @@ def get_egress_cost(self, num_gigabytes: float): cost += 0.0 return cost + @classmethod + def get_default_instance_type( + cls, + cpus: Optional[str] = None, + memory: Optional[str] = None, + disk_tier: Optional[resources_utils.DiskTier] = None + ) -> Optional[str]: + return service_catalog.get_default_instance_type(cpus=cpus, + memory=memory, + disk_tier=disk_tier, + clouds='azure') + @classmethod def get_image_size(cls, image_id: str, region: Optional[str]) -> float: - if region is None: - # The region used here is only for where to send the query, - # not the image location. Azure's image is globally available. - region = 'eastus' - is_skypilot_image_tag = False + # Process skypilot images. if image_id.startswith('skypilot:'): - is_skypilot_image_tag = True image_id = service_catalog.get_image_id_from_tag(image_id, clouds='azure') - image_id_splitted = image_id.split(':') - if len(image_id_splitted) != 4: - with ux_utils.print_exception_no_traceback(): - raise ValueError(f'Invalid image id: {image_id}. Expected ' - 'format: :::') - publisher, offer, sku, version = image_id_splitted - if is_skypilot_image_tag: - if offer == 'ubuntu-hpc': - return _DEFAULT_AZURE_UBUNTU_HPC_IMAGE_GB + if image_id.startswith(_COMMUNITY_IMAGE_PREFIX): + # Avoid querying the image size from Azure as + # all skypilot custom images have the same size. + return _DEFAULT_SKYPILOT_IMAGE_GB else: - return _DEFAULT_AZURE_UBUNTU_2004_IMAGE_GB + publisher, offer, sku, version = image_id.split(':') + if offer == 'ubuntu-hpc': + return _DEFAULT_AZURE_UBUNTU_HPC_IMAGE_GB + else: + return _DEFAULT_AZURE_UBUNTU_2004_IMAGE_GB + + # Process user-specified images. + azure_utils.validate_image_id(image_id) compute_client = azure.get_client('compute', cls.get_project_id()) + + # Community gallery image. + if image_id.startswith(_COMMUNITY_IMAGE_PREFIX): + if region is None: + return 0.0 + _, _, gallery_name, _, image_name = image_id.split('/') + try: + return azure_utils.get_community_image_size( + compute_client, gallery_name, image_name, region) + except exceptions.ResourcesUnavailableError: + return 0.0 + + # Marketplace image + if region is None: + # The region used here is only for where to send the query, + # not the image location. Marketplace image is globally available. + region = 'eastus' + publisher, offer, sku, version = image_id.split(':') try: image = compute_client.virtual_machine_images.get( region, publisher, offer, sku, version) @@ -176,40 +213,23 @@ def get_image_size(cls, image_id: str, region: Optional[str]) -> float: size_in_gb = size_in_bytes / (1024**3) return size_in_gb - @classmethod - def get_default_instance_type( - cls, - cpus: Optional[str] = None, - memory: Optional[str] = None, - disk_tier: Optional[resources_utils.DiskTier] = None - ) -> Optional[str]: - return service_catalog.get_default_instance_type(cpus=cpus, - memory=memory, - disk_tier=disk_tier, - clouds='azure') - def _get_default_image_tag(self, gen_version, instance_type) -> str: # ubuntu-2004 v21.08.30, K80 requires image with old NVIDIA driver version acc = self.get_accelerators_from_instance_type(instance_type) if acc is not None: acc_name = list(acc.keys())[0] if acc_name == 'K80': - return 'skypilot:k80-ubuntu-2004' - - # ubuntu-2004 v21.11.04, the previous image we used in the past for - # V1 HyperV instance before we change default image to ubuntu-hpc. + return _DEFAULT_GPU_K80_IMAGE_ID + # About Gen V1 vs V2: # In Azure, all instances with K80 (Standard_NC series), some # instances with M60 (Standard_NV series) and some cpu instances - # (Basic_A, Standard_D, ...) are V1 instance. For these instances, - # we use the previous image. + # (Basic_A, Standard_D, ...) are V1 instance. + # All A100 instances are V2. if gen_version == 'V1': - return 'skypilot:v1-ubuntu-2004' - - # nvidia-driver: 535.54.03, cuda: 12.2 - # see: https://github.com/Azure/azhpc-images/releases/tag/ubuntu-hpc-20230803 - # All A100 instances is of gen2, so it will always use - # the latest ubuntu-hpc:2204 image. - return 'skypilot:gpu-ubuntu-2204' + return _DEFAULT_V1_IMAGE_ID + if acc is None: + return _DEFAULT_CPU_IMAGE_ID + return _DEFAULT_GPU_IMAGE_ID @classmethod def regions_with_offering(cls, instance_type: str, @@ -302,17 +322,34 @@ def make_deploy_resources_variables( else: assert region_name in resources.image_id, resources.image_id image_id = resources.image_id[region_name] + + # Checked basic image syntax in resources.py if image_id.startswith('skypilot:'): image_id = service_catalog.get_image_id_from_tag(image_id, clouds='azure') - # Already checked in resources.py - publisher, offer, sku, version = image_id.split(':') - image_config = { - 'image_publisher': publisher, - 'image_offer': offer, - 'image_sku': sku, - 'image_version': version, - } + # Fallback if image does not exist in the specified region. + # Putting fallback here instead of at image validation + # when creating the resource because community images are + # regional so we need the correct region when we check whether + # the image exists. + if image_id.startswith( + _COMMUNITY_IMAGE_PREFIX + ) and region_name not in azure_catalog.COMMUNITY_IMAGE_AVAILABLE_REGIONS: + logger.info(f'Azure image {image_id} does not exist in region ' + f'{region_name} so use the fallback image instead.') + image_id = service_catalog.get_image_id_from_tag( + _FALLBACK_IMAGE_ID, clouds='azure') + + if image_id.startswith(_COMMUNITY_IMAGE_PREFIX): + image_config = {'community_gallery_image_id': image_id} + else: + publisher, offer, sku, version = image_id.split(':') + image_config = { + 'image_publisher': publisher, + 'image_offer': offer, + 'image_sku': sku, + 'image_version': version, + } # Setup the A10 nvidia driver. need_nvidia_driver_extension = (acc_dict is not None and @@ -380,7 +417,6 @@ def _failover_disk_tier() -> Optional[resources_utils.DiskTier]: # Setting disk performance tier for high disk tier. if disk_tier == resources_utils.DiskTier.HIGH: resources_vars['disk_performance_tier'] = 'P50' - return resources_vars def _get_feasible_launchable_resources( diff --git a/sky/clouds/service_catalog/azure_catalog.py b/sky/clouds/service_catalog/azure_catalog.py index 2d323cbac5f..c71285fe9a3 100644 --- a/sky/clouds/service_catalog/azure_catalog.py +++ b/sky/clouds/service_catalog/azure_catalog.py @@ -12,6 +12,21 @@ from sky.utils import resources_utils from sky.utils import ux_utils +# This list should match the list of regions in +# skypilot image generation Packer script's replication_regions +# sky/clouds/service_catalog/images/skypilot-azure-cpu-ubuntu.pkr.hcl +COMMUNITY_IMAGE_AVAILABLE_REGIONS = { + 'centralus', + 'eastus', + 'eastus2', + 'northcentralus', + 'southcentralus', + 'westcentralus', + 'westus', + 'westus2', + 'westus3', +} + # The frequency of pulling the latest catalog from the cloud provider. # Though the catalog update is manual in our skypilot-catalog repo, we # still want to pull the latest catalog periodically to make sure the diff --git a/sky/clouds/utils/azure_utils.py b/sky/clouds/utils/azure_utils.py new file mode 100644 index 00000000000..83b86f4d54f --- /dev/null +++ b/sky/clouds/utils/azure_utils.py @@ -0,0 +1,91 @@ +"""Utilies for Azure""" + +import typing + +from sky import exceptions +from sky.adaptors import azure +from sky.utils import ux_utils + +if typing.TYPE_CHECKING: + from azure.mgmt import compute as azure_compute + from azure.mgmt.compute import models as azure_compute_models + + +def validate_image_id(image_id: str): + """Check if the image ID has a valid format. + + Raises: + ValueError: If the image ID is invalid. + """ + image_id_colon_splitted = image_id.split(':') + image_id_slash_splitted = image_id.split('/') + if len(image_id_slash_splitted) != 5 and len(image_id_colon_splitted) != 4: + with ux_utils.print_exception_no_traceback(): + raise ValueError( + f'Invalid image id for Azure: {image_id}. Expected format: \n' + '* Marketplace image ID: :::\n' + '* Community image ID: ' + '/CommunityGalleries//Images/') + if len(image_id_slash_splitted) == 5: + _, gallery_type, _, image_type, _ = image_id.split('/') + if gallery_type != 'CommunityGalleries' or image_type != 'Images': + with ux_utils.print_exception_no_traceback(): + raise ValueError( + f'Invalid community image id for Azure: {image_id}.\n' + 'Expected format: ' + '/CommunityGalleries//Images/') + + +def get_community_image( + compute_client: 'azure_compute.ComputeManagementClient', image_id: str, + region: str) -> 'azure_compute_models.CommunityGalleryImage': + """Get community image from cloud. + + Args: + image_id: /CommunityGalleries//Images/ + Raises: + ResourcesUnavailableError + """ + try: + _, _, gallery_name, _, image_name = image_id.split('/') + return compute_client.community_gallery_images.get( + location=region, + public_gallery_name=gallery_name, + gallery_image_name=image_name) + except azure.exceptions().AzureError as e: + raise exceptions.ResourcesUnavailableError( + f'Community image {image_id} does not exist in region {region}.' + ) from e + + +def get_community_image_size( + compute_client: 'azure_compute.ComputeManagementClient', + gallery_name: str, image_name: str, region: str) -> float: + """Get the size of the community image from cloud. + + Args: + image_id: /CommunityGalleries//Images/ + Raises: + ResourcesUnavailableError + """ + try: + image_versions = compute_client.community_gallery_image_versions.list( + location=region, + public_gallery_name=gallery_name, + gallery_image_name=image_name, + ) + image_versions = list(image_versions) + if not image_versions: + raise exceptions.ResourcesUnavailableError( + f'No versions available for Azure community image {image_name}') + latest_version = image_versions[-1].name + + image_details = compute_client.community_gallery_image_versions.get( + location=region, + public_gallery_name=gallery_name, + gallery_image_name=image_name, + gallery_image_version_name=latest_version) + return image_details.storage_profile.os_disk_image.disk_size_gb + except azure.exceptions().AzureError as e: + raise exceptions.ResourcesUnavailableError( + f'Failed to get community image size: {e}.') from e diff --git a/sky/resources.py b/sky/resources.py index 384f2b6a548..540cbfb703c 100644 --- a/sky/resources.py +++ b/sky/resources.py @@ -225,6 +225,7 @@ def __init__( self._set_memory(memory) self._set_accelerators(accelerators, accelerator_args) + # TODO: move these out of init to prevent repeated calls. self._try_validate_instance_type() self._try_validate_cpus_mem() self._try_validate_managed_job_attributes() diff --git a/tests/unit_tests/test_azure_utils.py b/tests/unit_tests/test_azure_utils.py new file mode 100644 index 00000000000..93ef5caadb0 --- /dev/null +++ b/tests/unit_tests/test_azure_utils.py @@ -0,0 +1,21 @@ +import pytest + +from sky.clouds.utils import azure_utils + + +def test_validate_image_id(): + # Valid marketplace image ID + azure_utils.validate_image_id("publisher:offer:sku:version") + + # Valid community image ID + azure_utils.validate_image_id( + "/CommunityGalleries/gallery-name/Images/image-name") + + # Invalid format (neither marketplace nor community) + with pytest.raises(ValueError): + azure_utils.validate_image_id( + "CommunityGalleries/gallery-name/Images/image-name") + + # Invalid marketplace image ID (too few parts) + with pytest.raises(ValueError): + azure_utils.validate_image_id("publisher:offer:sku") From 7c5b7e0baf593080c526387e200407c89f4459e4 Mon Sep 17 00:00:00 2001 From: Yika Date: Thu, 24 Oct 2024 20:11:11 -0700 Subject: [PATCH 003/152] [Performance] Add Azure packer scripts for custom images (#4142) * [Performance] Add Azure packer scripts for custom images * address comment --- sky/clouds/service_catalog/images/README.md | 55 ++++++++----- .../images/skypilot-aws-cpu-ubuntu.pkr.hcl | 6 +- .../images/skypilot-aws-gpu-ubuntu.pkr.hcl | 6 +- .../images/skypilot-azure-cpu-ubuntu.pkr.hcl | 72 +++++++++++++++++ .../images/skypilot-azure-gpu-ubuntu.pkr.hcl | 78 +++++++++++++++++++ 5 files changed, 193 insertions(+), 24 deletions(-) create mode 100644 sky/clouds/service_catalog/images/skypilot-azure-cpu-ubuntu.pkr.hcl create mode 100644 sky/clouds/service_catalog/images/skypilot-azure-gpu-ubuntu.pkr.hcl diff --git a/sky/clouds/service_catalog/images/README.md b/sky/clouds/service_catalog/images/README.md index 31ce7c6d9ce..3bdcbf86560 100644 --- a/sky/clouds/service_catalog/images/README.md +++ b/sky/clouds/service_catalog/images/README.md @@ -10,42 +10,58 @@ packer init plugins.pkr.hcl 3. Setup cloud credentials ## Generate Images -```bash -export CLOUD=gcp # Update this -export TYPE=gpu # Update this -export IMAGE=skypilot-${CLOUD}-${TYPE}-ubuntu -packer build ${IMAGE}.pkr.hcl -``` -You will see the image ID after the build is complete. - -FYI time to packer build an image: - +FYI time to packer build images: | Cloud | Type | Approx. Time | |-------|------|------------------------| | AWS | GPU | 15 min | | AWS | CPU | 10 min | | GCP | GPU | 16 min | | GCP | CPU | 5 min | +| Azure | GPU | 35 min | +| Azure | CPU | 25 min | ### GCP +1. Build a single global image. +```bash +export TYPE=gpu # Update this +export IMAGE=skypilot-gcp-${TYPE}-ubuntu +packer build ${IMAGE}.pkr.hcl +``` +2. Make the image public ```bash -export IMAGE_NAME=skypilot-gcp-cpu-ubuntu-20241011003407 # Update this - # Make image public +export IMAGE_NAME=skypilot-gcp-cpu-ubuntu-xxx # Update this export IMAGE_ID=projects/sky-dev-465/global/images/${IMAGE_NAME} gcloud compute images add-iam-policy-binding ${IMAGE_NAME} --member='allAuthenticatedUsers' --role='roles/compute.imageUser' ``` ### AWS -1. Generate images for all regions +1. Generate the source image for a single region. +```bash +export TYPE=gpu # Update this +export IMAGE=skypilot-aws-${TYPE}-ubuntu +packer build ${IMAGE}.pkr.hcl +``` +2. Copy images to all regions ```bash export IMAGE_ID=ami-0b31b24524afa8e47 # Update this - python aws_utils/image_gen.py --image-id ${IMAGE_ID} --processor ${TYPE} ``` -2. Add fallback images if any region failed \ +3. Add fallback images if any region failed \ Look for "NEED_FALLBACK" in the output `images.csv` and edit. (You can use public [ubuntu images](https://cloud-images.ubuntu.com/locator/ec2/) as fallback.) +### Azure +1. Generate a client secret for packer [here](https://portal.azure.com/?feature.msaljs=true#view/Microsoft_AAD_RegisteredApps/ApplicationMenuBlade/~/Credentials/appId/1d249f23-c22e-4d02-b62b-a6827bd113fe/isMSAApp~/false). +```bash +export SECRET=xxxxxx # Update this +``` +2. Build and copy images for all regions and both VM generations (1 and 2). +```bash +export VM_GENERATION=2 # Update this +packer build -force --var vm_generation=${VM_GENERATION} --var client_secret=${SECRET} skypilot-azure-cpu-ubuntu.pkr.hcl +packer build --var client_secret=${SECRET} skypilot-azure-gpu-ubuntu.pkr.hcl +``` + ## Test Images 1. Minimal GPU test: `sky launch --image ${IMAGE_ID} --gpus=L4:1 --cloud ${CLOUD}` then run `nvidia-smi` in the launched instance. 2. Update the image ID in `sky/clouds/gcp.py` and run the test: @@ -60,13 +76,16 @@ pytest tests/test_smoke.py::test_cancel_gcp Submit a PR to update [`SkyPilot Catalog`](https://github.com/skypilot-org/skypilot-catalog/tree/master/catalogs) then clean up the old images to avoid extra iamge storage fees. ### GCP -1. Example PR: [#86](https://github.com/skypilot-org/skypilot-catalog/pull/86) -2. Go to console and delete old images. +1. Update Catalog with new images: [example PR](https://github.com/skypilot-org/skypilot-catalog/pull/86) +2. Go to [GCP console](https://console.cloud.google.com/compute/images?tab=images&project=sky-dev-465) and delete old images. ### AWS 1. Copy the old custom image rows from Catalog's existing `images.csv` to a local `images.csv` in this folder. -2. Update Catalog with new images. Example PR: [#89](https://github.com/skypilot-org/skypilot-catalog/pull/89) +2. Update Catalog with new images: [example PR](https://github.com/skypilot-org/skypilot-catalog/pull/89) 3. Delete AMIs across regions by running ```bash python aws_utils/image_delete.py --tag ${TAG} ``` + +### Azure +1. Update Catalog with new images: [example PR](https://github.com/skypilot-org/skypilot-catalog/pull/92) diff --git a/sky/clouds/service_catalog/images/skypilot-aws-cpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-aws-cpu-ubuntu.pkr.hcl index c21fbf51b20..5b049cf35ec 100644 --- a/sky/clouds/service_catalog/images/skypilot-aws-cpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-aws-cpu-ubuntu.pkr.hcl @@ -22,9 +22,9 @@ source "amazon-ebs" "cpu-ubuntu" { owners = ["099720109477"] } launch_block_device_mappings { - device_name = "/dev/sda1" - volume_size = 8 - volume_type = "gp2" + device_name = "/dev/sda1" + volume_size = 8 + volume_type = "gp2" delete_on_termination = true } } diff --git a/sky/clouds/service_catalog/images/skypilot-aws-gpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-aws-gpu-ubuntu.pkr.hcl index c4a8efac4dc..4579987768a 100644 --- a/sky/clouds/service_catalog/images/skypilot-aws-gpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-aws-gpu-ubuntu.pkr.hcl @@ -22,9 +22,9 @@ source "amazon-ebs" "gpu-ubuntu" { owners = ["099720109477"] } launch_block_device_mappings { - device_name = "/dev/sda1" - volume_size = 30 - volume_type = "gp2" + device_name = "/dev/sda1" + volume_size = 30 + volume_type = "gp2" delete_on_termination = true } } diff --git a/sky/clouds/service_catalog/images/skypilot-azure-cpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-azure-cpu-ubuntu.pkr.hcl new file mode 100644 index 00000000000..2a07c41d136 --- /dev/null +++ b/sky/clouds/service_catalog/images/skypilot-azure-cpu-ubuntu.pkr.hcl @@ -0,0 +1,72 @@ +variable "client_secret" { + type = string + description = "The client secret for the packer client registered in Azure (see Azure app registration)" +} + +variable "vm_generation" { + type = number + description = "Azure's VM generation, currently support 1 or 2" +} + +locals { + timestamp = regex_replace(timestamp(), "[- TZ:]", "") + version = formatdate("YY.MM.DD", timestamp()) +} + +source "azure-arm" "cpu-ubuntu" { + managed_image_resource_group_name = "skypilot-images" + managed_image_name = "skypilot-azure-cpu-ubuntu-${local.timestamp}" + + subscription_id = "59d8c23c-7ef5-42c7-b2f3-a919ad8026a7" + tenant_id = "7c81f068-46f8-4b26-9a46-2fbec2287e3d" + client_id = "1d249f23-c22e-4d02-b62b-a6827bd113fe" + client_secret = var.client_secret + + os_type = "Linux" + image_publisher = "Canonical" + image_offer = "0001-com-ubuntu-server-jammy" + image_sku = var.vm_generation == 1 ? "22_04-lts" : "22_04-lts-gen2" + location = "centralus" + vm_size = var.vm_generation == 1 ? "Standard_D1_v2" : "Standard_B2s" + ssh_username = "azureuser" + azure_tags = { + Created_by = "packer" + Purpose = "skypilot" + } + + shared_image_gallery_destination { + subscription = "59d8c23c-7ef5-42c7-b2f3-a919ad8026a7" + resource_group = "skypilot-images" + gallery_name = "skypilot_image_gallery" + image_name = "skypilot-cpu-gen${var.vm_generation}" + image_version = "${local.version}" + replication_regions = [ + "centralus", + "eastus", + "eastus2", + "northcentralus", + "southcentralus", + "westcentralus", + "westus", + "westus2", + "westus3" + ] + } +} + +build { + name = "azure-cpu-ubuntu-build" + sources = ["sources.azure-arm.cpu-ubuntu"] + provisioner "shell" { + script = "./provisioners/docker.sh" + } + provisioner "shell" { + script = "./provisioners/skypilot.sh" + } + provisioner "shell" { + environment_vars = [ + "CLOUD=azure", + ] + script = "./provisioners/cloud.sh" + } +} diff --git a/sky/clouds/service_catalog/images/skypilot-azure-gpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-azure-gpu-ubuntu.pkr.hcl new file mode 100644 index 00000000000..97c99b2431e --- /dev/null +++ b/sky/clouds/service_catalog/images/skypilot-azure-gpu-ubuntu.pkr.hcl @@ -0,0 +1,78 @@ +variable "client_secret" { + type = string + description = "The client secret for the packer client registered in Azure (see Azure app registration)" +} + +variable "vm_generation" { + type = number + description = "Azure's VM generation, currently support 1 or 2" +} + +locals { + timestamp = regex_replace(timestamp(), "[- TZ:]", "") + version = formatdate("YY.MM.DD", timestamp()) +} + +source "azure-arm" "gpu-ubuntu" { + managed_image_resource_group_name = "skypilot-images" + managed_image_name = "skypilot-azure-gpu-ubuntu-${local.timestamp}" + + subscription_id = "59d8c23c-7ef5-42c7-b2f3-a919ad8026a7" + tenant_id = "7c81f068-46f8-4b26-9a46-2fbec2287e3d" + client_id = "1d249f23-c22e-4d02-b62b-a6827bd113fe" + client_secret = var.client_secret + + os_type = "Linux" + image_publisher = "Canonical" + image_offer = "0001-com-ubuntu-server-jammy" + image_sku = var.vm_generation == 1 ? "22_04-lts" : "22_04-lts-gen2" + location = var.vm_generation == 1 ? "eastus" : "centralus" + vm_size = var.vm_generation == 1 ? "Standard_NC4as_T4_v3" : "Standard_NC24ads_A100_v4" + ssh_username = "azureuser" + azure_tags = { + Created_by = "packer" + Purpose = "skypilot" + } + + shared_image_gallery_destination { + subscription = "59d8c23c-7ef5-42c7-b2f3-a919ad8026a7" + resource_group = "skypilot-images" + gallery_name = var.vm_generation == 1 ? "skypilot_images": "skypilot_image_gallery" + image_name = "skypilot-gpu-gen${var.vm_generation}" + image_version = "${local.version}" + replication_regions = [ + "centralus", + "eastus", + "eastus2", + "northcentralus", + "southcentralus", + "westcentralus", + "westus", + "westus2", + "westus3" + ] + } +} + +build { + name = "azure-gpu-ubuntu-build" + sources = ["sources.azure-arm.gpu-ubuntu"] + provisioner "shell" { + script = "./provisioners/docker.sh" + } + provisioner "shell" { + script = "./provisioners/cuda.sh" + } + provisioner "shell" { + script = "./provisioners/nvidia-container-toolkit.sh" + } + provisioner "shell" { + script = "./provisioners/skypilot.sh" + } + provisioner "shell" { + environment_vars = [ + "CLOUD=azure", + ] + script = "./provisioners/cloud.sh" + } +} From 057bc4b44755ac1e9dadc680e022c369e8ddff52 Mon Sep 17 00:00:00 2001 From: landscapepainter <34902420+landscapepainter@users.noreply.github.com> Date: Thu, 24 Oct 2024 21:58:31 -0700 Subject: [PATCH 004/152] [Azure] Fix to sync NSG status while opening ports (#3844) * fix to update NSG status while opening ports * nit * format * refactor check for nsg creation * format * nit * format * Update sky/provision/azure/config.py Co-authored-by: Zhanghao Wu * Update sky/provision/azure/instance.py Co-authored-by: Zhanghao Wu * Update sky/provision/azure/config.py Co-authored-by: Zhanghao Wu * Update sky/provision/azure/config.py Co-authored-by: Zhanghao Wu * format * additional TODO comments --------- Co-authored-by: Zhanghao Wu --- .../azure/azure-config-template.json | 8 +- sky/provision/azure/config.py | 31 +++- sky/provision/azure/instance.py | 141 +++++++++++------- 3 files changed, 121 insertions(+), 59 deletions(-) diff --git a/sky/provision/azure/azure-config-template.json b/sky/provision/azure/azure-config-template.json index 489783faf98..c743dd40215 100644 --- a/sky/provision/azure/azure-config-template.json +++ b/sky/provision/azure/azure-config-template.json @@ -13,6 +13,12 @@ "metadata": { "description": "Subnet parameters." } + }, + "nsgName": { + "type": "string", + "metadata": { + "description": "Name of the Network Security Group associated with the SkyPilot cluster." + } } }, "variables": { @@ -20,7 +26,7 @@ "location": "[resourceGroup().location]", "msiName": "[concat('sky-', parameters('clusterId'), '-msi')]", "roleAssignmentName": "[concat('sky-', parameters('clusterId'), '-ra')]", - "nsgName": "[concat('sky-', parameters('clusterId'), '-nsg')]", + "nsgName": "[parameters('nsgName')]", "nsg": "[resourceId('Microsoft.Network/networkSecurityGroups', variables('nsgName'))]", "vnetName": "[concat('sky-', parameters('clusterId'), '-vnet')]", "subnetName": "[concat('sky-', parameters('clusterId'), '-subnet')]" diff --git a/sky/provision/azure/config.py b/sky/provision/azure/config.py index 22982a99075..afa94b4adbe 100644 --- a/sky/provision/azure/config.py +++ b/sky/provision/azure/config.py @@ -8,7 +8,7 @@ from pathlib import Path import random import time -from typing import Any, Callable +from typing import Any, Callable, Tuple from sky import exceptions from sky import sky_logging @@ -22,6 +22,7 @@ _DEPLOYMENT_NAME = 'skypilot-config' _LEGACY_DEPLOYMENT_NAME = 'ray-config' _RESOURCE_GROUP_WAIT_FOR_DELETION_TIMEOUT = 480 # 8 minutes +_CLUSTER_ID = '{cluster_name_on_cloud}-{unique_id}' def get_azure_sdk_function(client: Any, function_name: str) -> Callable: @@ -41,6 +42,19 @@ def get_azure_sdk_function(client: Any, function_name: str) -> Callable: return func +def get_cluster_id_and_nsg_name(resource_group: str, + cluster_name_on_cloud: str) -> Tuple[str, str]: + hasher = hashlib.md5(resource_group.encode('utf-8')) + unique_id = hasher.hexdigest()[:UNIQUE_ID_LEN] + # We use the cluster name + resource group hash as the + # unique ID for the cluster, as we need to make sure that + # the deployments have unique names during failover. + cluster_id = _CLUSTER_ID.format(cluster_name_on_cloud=cluster_name_on_cloud, + unique_id=unique_id) + nsg_name = f'sky-{cluster_id}-nsg' + return cluster_id, nsg_name + + @common.log_function_start_end def bootstrap_instances( region: str, cluster_name_on_cloud: str, @@ -117,12 +131,13 @@ def bootstrap_instances( logger.info(f'Using cluster name: {cluster_name_on_cloud}') - hasher = hashlib.md5(provider_config['resource_group'].encode('utf-8')) - unique_id = hasher.hexdigest()[:UNIQUE_ID_LEN] + cluster_id, nsg_name = get_cluster_id_and_nsg_name( + resource_group=provider_config['resource_group'], + cluster_name_on_cloud=cluster_name_on_cloud) subnet_mask = provider_config.get('subnet_mask') if subnet_mask is None: # choose a random subnet, skipping most common value of 0 - random.seed(unique_id) + random.seed(cluster_id) subnet_mask = f'10.{random.randint(1, 254)}.0.0/16' logger.info(f'Using subnet mask: {subnet_mask}') @@ -135,10 +150,10 @@ def bootstrap_instances( 'value': subnet_mask }, 'clusterId': { - # We use the cluster name + resource group hash as the - # unique ID for the cluster, as we need to make sure that - # the deployments have unique names during failover. - 'value': f'{cluster_name_on_cloud}-{unique_id}' + 'value': cluster_id + }, + 'nsgName': { + 'value': nsg_name }, }, } diff --git a/sky/provision/azure/instance.py b/sky/provision/azure/instance.py index f6c865e29c8..cc2dc692dec 100644 --- a/sky/provision/azure/instance.py +++ b/sky/provision/azure/instance.py @@ -15,6 +15,7 @@ from sky.adaptors import azure from sky.provision import common from sky.provision import constants +from sky.provision.azure import config as config_lib from sky.utils import common_utils from sky.utils import subprocess_utils from sky.utils import ux_utils @@ -31,6 +32,8 @@ # https://github.com/Azure/azure-sdk-for-python/issues/9422 azure_logger = logging.getLogger('azure') azure_logger.setLevel(logging.WARNING) +Client = Any +NetworkSecurityGroup = Any _RESUME_INSTANCE_TIMEOUT = 480 # 8 minutes _RESUME_PER_INSTANCE_TIMEOUT = 120 # 2 minutes @@ -40,6 +43,10 @@ _RESOURCE_GROUP_NOT_FOUND_ERROR_MESSAGE = 'ResourceGroupNotFound' _POLL_INTERVAL = 1 +# TODO(Doyoung): _LEGACY_NSG_NAME can be remove this after 0.8.0 to ignore +# legacy nsg names. +_LEGACY_NSG_NAME = 'ray-{cluster_name_on_cloud}-nsg' +_SECOND_LEGACY_NSG_NAME = 'sky-{cluster_name_on_cloud}-nsg' class AzureInstanceStatus(enum.Enum): @@ -795,6 +802,32 @@ def _fetch_and_map_status(node, resource_group: str) -> None: return statuses +# TODO(Doyoung): _get_cluster_nsg can be remove this after 0.8.0 to ignore +# legacy nsg names. +def _get_cluster_nsg(network_client: Client, resource_group: str, + cluster_name_on_cloud: str) -> NetworkSecurityGroup: + """Retrieve the NSG associated with the given name of the cluster.""" + list_network_security_groups = _get_azure_sdk_function( + client=network_client.network_security_groups, function_name='list') + legacy_nsg_name = _LEGACY_NSG_NAME.format( + cluster_name_on_cloud=cluster_name_on_cloud) + second_legacy_nsg_name = _SECOND_LEGACY_NSG_NAME.format( + cluster_name_on_cloud=cluster_name_on_cloud) + _, nsg_name = config_lib.get_cluster_id_and_nsg_name( + resource_group=resource_group, + cluster_name_on_cloud=cluster_name_on_cloud) + possible_nsg_names = [nsg_name, legacy_nsg_name, second_legacy_nsg_name] + for nsg in list_network_security_groups(resource_group): + if nsg.name in possible_nsg_names: + return nsg + + # Raise an error if no matching NSG is found + raise ValueError('Failed to find a matching NSG for cluster ' + f'{cluster_name_on_cloud!r} in resource group ' + f'{resource_group!r}. Expected NSG names were: ' + f'{possible_nsg_names}.') + + def open_ports( cluster_name_on_cloud: str, ports: List[str], @@ -809,58 +842,66 @@ def open_ports( update_network_security_groups = _get_azure_sdk_function( client=network_client.network_security_groups, function_name='create_or_update') - list_network_security_groups = _get_azure_sdk_function( - client=network_client.network_security_groups, function_name='list') - for nsg in list_network_security_groups(resource_group): - try: - # Wait the NSG creation to be finished before opening a port. The - # cluster provisioning triggers the NSG creation, but it may not be - # finished yet. - backoff = common_utils.Backoff(max_backoff_factor=1) - start_time = time.time() - while True: - if nsg.provisioning_state not in ['Creating', 'Updating']: - break - if time.time() - start_time > _WAIT_CREATION_TIMEOUT_SECONDS: - logger.warning( - f'Fails to wait for the creation of NSG {nsg.name} in ' - f'{resource_group} within ' - f'{_WAIT_CREATION_TIMEOUT_SECONDS} seconds. ' - 'Skip this NSG.') - backoff_time = backoff.current_backoff() - logger.info(f'NSG {nsg.name} is not created yet. Waiting for ' - f'{backoff_time} seconds before checking again.') - time.sleep(backoff_time) - - # Azure NSG rules have a priority field that determines the order - # in which they are applied. The priority must be unique across - # all inbound rules in one NSG. - priority = max(rule.priority - for rule in nsg.security_rules - if rule.direction == 'Inbound') + 1 - nsg.security_rules.append( - azure.create_security_rule( - name=f'sky-ports-{cluster_name_on_cloud}-{priority}', - priority=priority, - protocol='Tcp', - access='Allow', - direction='Inbound', - source_address_prefix='*', - source_port_range='*', - destination_address_prefix='*', - destination_port_ranges=ports, - )) - poller = update_network_security_groups(resource_group, nsg.name, - nsg) - poller.wait() - if poller.status() != 'Succeeded': + + try: + # Wait for the NSG creation to be finished before opening a port. The + # cluster provisioning triggers the NSG creation, but it may not be + # finished yet. + backoff = common_utils.Backoff(max_backoff_factor=1) + start_time = time.time() + while True: + nsg = _get_cluster_nsg(network_client, resource_group, + cluster_name_on_cloud) + if nsg.provisioning_state not in ['Creating', 'Updating']: + break + if time.time() - start_time > _WAIT_CREATION_TIMEOUT_SECONDS: with ux_utils.print_exception_no_traceback(): - raise ValueError(f'Failed to open ports {ports} in NSG ' - f'{nsg.name}: {poller.status()}') - except azure.exceptions().HttpResponseError as e: + raise TimeoutError( + f'Timed out while waiting for the Network ' + f'Security Group {nsg.name!r} to be ready for ' + f'cluster {cluster_name_on_cloud!r} in ' + f'resource group {resource_group!r}. The NSG ' + f'did not reach a stable state ' + '(Creating/Updating) within the allocated ' + f'{_WAIT_CREATION_TIMEOUT_SECONDS} seconds. ' + 'Consequently, the operation to open ports ' + f'{ports} failed.') + + backoff_time = backoff.current_backoff() + logger.info(f'NSG {nsg.name} is not created yet. Waiting for ' + f'{backoff_time} seconds before checking again.') + time.sleep(backoff_time) + + # Azure NSG rules have a priority field that determines the order + # in which they are applied. The priority must be unique across + # all inbound rules in one NSG. + priority = max(rule.priority + for rule in nsg.security_rules + if rule.direction == 'Inbound') + 1 + nsg.security_rules.append( + azure.create_security_rule( + name=f'sky-ports-{cluster_name_on_cloud}-{priority}', + priority=priority, + protocol='Tcp', + access='Allow', + direction='Inbound', + source_address_prefix='*', + source_port_range='*', + destination_address_prefix='*', + destination_port_ranges=ports, + )) + poller = update_network_security_groups(resource_group, nsg.name, nsg) + poller.wait() + if poller.status() != 'Succeeded': with ux_utils.print_exception_no_traceback(): - raise ValueError( - f'Failed to open ports {ports} in NSG {nsg.name}.') from e + raise ValueError(f'Failed to open ports {ports} in NSG ' + f'{nsg.name}: {poller.status()}') + + except azure.exceptions().HttpResponseError as e: + with ux_utils.print_exception_no_traceback(): + raise ValueError(f'Failed to open ports {ports} in NSG for cluster ' + f'{cluster_name_on_cloud!r} within resource group ' + f'{resource_group!r}.') from e def cleanup_ports( From ee708e7aad508fab1b48b1f6f297ebe6fb5dbe63 Mon Sep 17 00:00:00 2001 From: Yika Date: Fri, 25 Oct 2024 09:51:45 -0700 Subject: [PATCH 005/152] [Performance] Use new Azure custom images (#4167) * use sky images for azure * auto refresh local images.csv * format --- sky/clouds/azure.py | 6 +++--- sky/clouds/service_catalog/azure_catalog.py | 16 +++++++++++++--- 2 files changed, 16 insertions(+), 6 deletions(-) diff --git a/sky/clouds/azure.py b/sky/clouds/azure.py index d91f589ca8f..0852c993ed3 100644 --- a/sky/clouds/azure.py +++ b/sky/clouds/azure.py @@ -39,9 +39,9 @@ _DEFAULT_AZURE_UBUNTU_2004_IMAGE_GB = 150 _DEFAULT_SKYPILOT_IMAGE_GB = 30 -_DEFAULT_CPU_IMAGE_ID = 'skypilot:gpu-ubuntu-2204' -_DEFAULT_GPU_IMAGE_ID = 'skypilot:gpu-ubuntu-2204' -_DEFAULT_V1_IMAGE_ID = 'skypilot:v1-ubuntu-2004' +_DEFAULT_CPU_IMAGE_ID = 'skypilot:custom-cpu-ubuntu-v2' +_DEFAULT_GPU_IMAGE_ID = 'skypilot:custom-gpu-ubuntu-v2' +_DEFAULT_V1_IMAGE_ID = 'skypilot:custom-gpu-ubuntu-v1' _DEFAULT_GPU_K80_IMAGE_ID = 'skypilot:k80-ubuntu-2004' _FALLBACK_IMAGE_ID = 'skypilot:gpu-ubuntu-2204' diff --git a/sky/clouds/service_catalog/azure_catalog.py b/sky/clouds/service_catalog/azure_catalog.py index c71285fe9a3..867141f7899 100644 --- a/sky/clouds/service_catalog/azure_catalog.py +++ b/sky/clouds/service_catalog/azure_catalog.py @@ -7,11 +7,14 @@ from typing import Dict, List, Optional, Tuple from sky import clouds as cloud_lib +from sky import sky_logging from sky.clouds import Azure from sky.clouds.service_catalog import common from sky.utils import resources_utils from sky.utils import ux_utils +logger = sky_logging.init_logger(__name__) + # This list should match the list of regions in # skypilot image generation Packer script's replication_regions # sky/clouds/service_catalog/images/skypilot-azure-cpu-ubuntu.pkr.hcl @@ -191,9 +194,16 @@ def list_accelerators( def get_image_id_from_tag(tag: str, region: Optional[str]) -> Optional[str]: """Returns the image id from the tag.""" - # Azure images are not region-specific. - del region # Unused. - return common.get_image_id_from_tag_impl(_image_df, tag, None) + global _image_df + image_id = common.get_image_id_from_tag_impl(_image_df, tag, region) + if image_id is None: + # Refresh the image catalog and try again, if the image tag is not + # found. + logger.debug('Refreshing the image catalog and trying again.') + _image_df = common.read_catalog('azure/images.csv', + pull_frequency_hours=0) + image_id = common.get_image_id_from_tag_impl(_image_df, tag, region) + return image_id def is_image_tag_valid(tag: str, region: Optional[str]) -> bool: From b8a9a5716e746e88e65af397d8a2d84522445cb3 Mon Sep 17 00:00:00 2001 From: Yika Date: Fri, 25 Oct 2024 14:08:06 -0700 Subject: [PATCH 006/152] Fix OCI import issue (#4178) * Fix OCI import issue * Update sky/clouds/oci.py Co-authored-by: Zhanghao Wu * edit comments --------- Co-authored-by: Zhanghao Wu --- sky/clouds/oci.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/sky/clouds/oci.py b/sky/clouds/oci.py index c6451a73a1f..0feda467bbf 100644 --- a/sky/clouds/oci.py +++ b/sky/clouds/oci.py @@ -468,7 +468,11 @@ def get_credential_file_mounts(self) -> Dict[str, str]: api_key_file = oci_cfg[ 'key_file'] if 'key_file' in oci_cfg else 'BadConf' sky_cfg_file = oci_utils.oci_config.get_sky_user_config_file() - except (ImportError, oci_adaptor.oci.exceptions.ConfigFileNotFound): + # Must catch ImportError before any oci_adaptor.oci.exceptions + # because oci_adaptor.oci.exceptions can throw ImportError. + except ImportError: + return {} + except oci_adaptor.oci.exceptions.ConfigFileNotFound: return {} # OCI config and API key file are mandatory From bbf14d5a52b21387cb2bed086a96f7363bc5750b Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Fri, 25 Oct 2024 15:08:27 -0700 Subject: [PATCH 007/152] [k8s] Add retry for apparmor failures (#4176) * Add retry for apparmor failures * add comment --- sky/provision/kubernetes/instance.py | 68 +++++++++++++++++++++++++++- 1 file changed, 66 insertions(+), 2 deletions(-) diff --git a/sky/provision/kubernetes/instance.py b/sky/provision/kubernetes/instance.py index 6ce7b74d18e..26ed5f51a43 100644 --- a/sky/provision/kubernetes/instance.py +++ b/sky/provision/kubernetes/instance.py @@ -1,5 +1,6 @@ """Kubernetes instance provisioning.""" import copy +import json import time from typing import Any, Dict, List, Optional import uuid @@ -425,6 +426,70 @@ def _label_pod(namespace: str, context: Optional[str], pod_name: str, _request_timeout=kubernetes.API_TIMEOUT) +def _create_namespaced_pod_with_retries(namespace: str, pod_spec: dict, + context: Optional[str]) -> Any: + """Attempts to create a Kubernetes Pod and handle any errors. + + Currently, we handle errors due to the AppArmor annotation and retry if + it fails due to the `FieldValueForbidden` error. + See https://github.com/skypilot-org/skypilot/issues/4174 for details. + + Returns: The created Pod object. + """ + try: + # Attempt to create the Pod with the AppArmor annotation + pod = kubernetes.core_api(context).create_namespaced_pod( + namespace, pod_spec) + return pod + except kubernetes.api_exception() as e: + try: + error_body = json.loads(e.body) + error_message = error_body.get('message', '') + except json.JSONDecodeError: + error_message = str(e.body) + # Check if the error is due to the AppArmor annotation and retry. + # We add an AppArmor annotation to set it as unconfined in our + # base template in kubernetes-ray.yml.j2. This is required for + # FUSE to work in the pod on most Kubernetes distributions. + # However, some distributions do not support the AppArmor annotation + # and will fail to create the pod. In this case, we retry without + # the annotation. + if (e.status == 422 and 'FieldValueForbidden' in error_message and + 'AppArmorProfile: nil' in error_message): + logger.warning('AppArmor annotation caused pod creation to fail. ' + 'Retrying without the annotation. ' + 'Note: this may cause bucket mounting to fail.') + + # Remove the AppArmor annotation + annotations = pod_spec.get('metadata', {}).get('annotations', {}) + if ('container.apparmor.security.beta.kubernetes.io/ray-node' + in annotations): + del annotations[ + 'container.apparmor.security.beta.kubernetes.io/ray-node'] + pod_spec['metadata']['annotations'] = annotations + logger.info('AppArmor annotation removed from Pod spec.') + else: + logger.warning('AppArmor annotation not found in pod spec, ' + 'retrying will not help. ' + f'Current annotations: {annotations}') + raise e + + # Retry Pod creation without the AppArmor annotation + try: + pod = kubernetes.core_api(context).create_namespaced_pod( + namespace, pod_spec) + logger.info(f'Pod {pod.metadata.name} created successfully ' + 'without AppArmor annotation.') + return pod + except kubernetes.api_exception() as retry_exception: + logger.info('Failed to create Pod without AppArmor annotation: ' + f'{retry_exception}') + raise retry_exception + else: + # Re-raise the exception if it's a different error + raise e + + def _create_pods(region: str, cluster_name_on_cloud: str, config: common.ProvisionConfig) -> common.ProvisionRecord: """Create pods based on the config.""" @@ -546,8 +611,7 @@ def _create_pods(region: str, cluster_name_on_cloud: str, } } - pod = kubernetes.core_api(context).create_namespaced_pod( - namespace, pod_spec) + pod = _create_namespaced_pod_with_retries(namespace, pod_spec, context) created_pods[pod.metadata.name] = pod if head_pod_name is None: head_pod_name = pod.metadata.name From c8ceaf6d7af98def987c98d41fcb502341cf1ed4 Mon Sep 17 00:00:00 2001 From: Zongheng Yang Date: Fri, 25 Oct 2024 16:51:33 -0700 Subject: [PATCH 008/152] [Docs] Update Managed Jobs page. (#4177) * [Docs] Update Managed Jobs page. * Lint * Updates --- docs/source/examples/managed-jobs.rst | 89 +++++++++++++++------------ 1 file changed, 51 insertions(+), 38 deletions(-) diff --git a/docs/source/examples/managed-jobs.rst b/docs/source/examples/managed-jobs.rst index a47b4345b9f..d85356c936a 100644 --- a/docs/source/examples/managed-jobs.rst +++ b/docs/source/examples/managed-jobs.rst @@ -5,14 +5,20 @@ Managed Jobs .. tip:: - This feature is great for scaling out: running a single job for long durations, or running many jobs (pipelines). + This feature is great for scaling out: running a single job for long durations, or running many jobs in parallel. -SkyPilot supports **managed jobs** (:code:`sky jobs`), which can automatically recover from any spot preemptions or hardware failures. -It can be used in three modes: +SkyPilot supports **managed jobs** (:code:`sky jobs`), where "managed" means +if a job's underlying compute experienced any spot preemptions or hardware failures, +SkyPilot will automatically recover the job. -#. :ref:`Managed Spot Jobs `: Jobs run on auto-recovering spot instances. This can **save significant costs** (e.g., up to 70\% for GPU VMs) by making preemptible spot instances useful for long-running jobs. -#. :ref:`On-demand `: Jobs run on auto-recovering on-demand instances. This is useful for jobs that require guaranteed resources. -#. :ref:`Pipelines `: Run pipelines that contain multiple tasks (which can have different resource requirements and ``setup``/``run`` commands). This is useful for running a sequence of tasks that depend on each other, e.g., data processing, training a model, and then running inference on it. +Managed jobs can be used in three modes: + +#. :ref:`Managed spot jobs `: Jobs run on auto-recovering spot instances. This **saves significant costs** (e.g., ~70\% for GPU VMs) by making preemptible spot instances useful for long-running jobs. +#. :ref:`Managed on-demand/reserved jobs `: Jobs run on auto-recovering on-demand or reserved instances. Useful for jobs that require guaranteed resources. +#. :ref:`Managed pipelines `: Run pipelines that contain multiple tasks (which + can have different resource requirements and ``setup``/``run`` commands). + Useful for running a sequence of tasks that depend on each other, e.g., data + processing, training a model, and then running inference on it. .. _spot-jobs: @@ -20,28 +26,12 @@ It can be used in three modes: Managed Spot Jobs ----------------- -In this mode, :code:`sky jobs launch --use-spot` is used to launch a managed spot job. SkyPilot automatically finds available spot resources across regions and clouds to maximize availability. -Any spot preemptions are automatically handled by SkyPilot without user intervention. - +In this mode, jobs run on spot instances, and preemptions are auto-recovered by SkyPilot. -Quick comparison between *unmanaged spot clusters* vs. *managed spot jobs*: - -.. list-table:: - :widths: 30 18 12 35 - :header-rows: 1 +To launch a managed spot job, use :code:`sky jobs launch --use-spot`. +SkyPilot automatically finds available spot instances across regions and clouds to maximize availability. +Any spot preemptions are automatically handled by SkyPilot without user intervention. - * - Command - - Managed? - - SSH-able? - - Best for - * - :code:`sky launch --use-spot` - - Unmanaged spot cluster - - Yes - - Interactive dev on spot instances (especially for hardware with low preemption rates) - * - :code:`sky jobs launch --use-spot` - - Managed spot job (auto-recovery) - - No - - Scaling out long-running jobs (e.g., data processing, training, batch inference) Here is an example of a BERT training job failing over different regions across AWS and GCP. @@ -59,6 +49,25 @@ To use managed spot jobs, there are two requirements: #. :ref:`Checkpointing ` (optional): For job recovery due to preemptions, the user application code can checkpoint its progress periodically to a :ref:`mounted cloud bucket `. The program can reload the latest checkpoint when restarted. +Quick comparison between *managed spot jobs* vs. *launching spot clusters*: + +.. list-table:: + :widths: 30 18 12 35 + :header-rows: 1 + + * - Command + - Managed? + - SSH-able? + - Best for + * - :code:`sky jobs launch --use-spot` + - Yes, preemptions are auto-recovered + - No + - Scaling out long-running jobs (e.g., data processing, training, batch inference) + * - :code:`sky launch --use-spot` + - No, preemptions are not handled + - Yes + - Interactive dev on spot instances (especially for hardware with low preemption rates) + .. _job-yaml: Job YAML @@ -245,11 +254,11 @@ Real-World Examples .. _on-demand: -Using On-Demand Instances --------------------------------- +Managed On-Demand/Reserved Jobs +------------------------------- The same ``sky jobs launch`` and YAML interfaces can run jobs on auto-recovering -on-demand instances. This is useful to have SkyPilot monitor any underlying +on-demand or reserved instances. This is useful to have SkyPilot monitor any underlying machine failures and transparently recover the job. To do so, simply set :code:`use_spot: false` in the :code:`resources` section, or override it with :code:`--use-spot false` in the CLI. @@ -264,10 +273,10 @@ To do so, simply set :code:`use_spot: false` in the :code:`resources` section, o interface, while ``sky launch`` is a cluster interface (that you can launch tasks on, albeit not managed). -Either Spot Or On-Demand -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Either Spot or On-Demand/Reserved +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -You can use ``any_of`` to specify either spot or on-demand instances as +You can use ``any_of`` to specify either spot or on-demand/reserved instances as candidate resources for a job. See documentation :ref:`here ` for more details. @@ -280,12 +289,17 @@ candidate resources for a job. See documentation :ref:`here - use_spot: false In this example, SkyPilot will perform cost optimizations to select the resource to use, which almost certainly -will be spot instances. If spot instances are not available, SkyPilot will fall back to launch on-demand instances. +will be spot instances. If spot instances are not available, SkyPilot will fall back to launch on-demand/reserved instances. More advanced policies for resource selection, such as the `Can't Be Late `__ (NSDI'24) paper, may be supported in the future. +Running Many Parallel Jobs +-------------------------- + +For batch jobs such as **data processing** or **hyperparameter sweeps**, you can launch many jobs in parallel. See :ref:`many-jobs`. + Useful CLIs ----------- @@ -323,11 +337,10 @@ Cancel a managed job: If any failure happens for a managed job, you can check :code:`sky jobs queue -a` for the brief reason of the failure. For more details, it would be helpful to check :code:`sky jobs logs --controller `. - .. _pipeline: -Job Pipelines -------------- +Managed Pipelines +----------------- A pipeline is a managed job that contains a sequence of tasks running one after another. @@ -414,8 +427,8 @@ To submit the pipeline, the same command :code:`sky jobs launch` is used. The pi -Dashboard ---------- +Job Dashboard +------------- Use ``sky jobs dashboard`` to open a dashboard to see all jobs: From df80daedea2eefd52c2e681b8da370305fcda262 Mon Sep 17 00:00:00 2001 From: Zongheng Yang Date: Fri, 25 Oct 2024 17:32:25 -0700 Subject: [PATCH 009/152] Minor: Jobs docs fix. (#4183) * [Docs] Update Managed Jobs page. * Lint * Updates * reword --- docs/source/examples/managed-jobs.rst | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/docs/source/examples/managed-jobs.rst b/docs/source/examples/managed-jobs.rst index d85356c936a..993ad361d66 100644 --- a/docs/source/examples/managed-jobs.rst +++ b/docs/source/examples/managed-jobs.rst @@ -7,10 +7,7 @@ Managed Jobs This feature is great for scaling out: running a single job for long durations, or running many jobs in parallel. -SkyPilot supports **managed jobs** (:code:`sky jobs`), where "managed" means -if a job's underlying compute experienced any spot preemptions or hardware failures, -SkyPilot will automatically recover the job. - +SkyPilot supports **managed jobs** (:code:`sky jobs`), which can automatically recover from any underlying spot preemptions or hardware failures. Managed jobs can be used in three modes: #. :ref:`Managed spot jobs `: Jobs run on auto-recovering spot instances. This **saves significant costs** (e.g., ~70\% for GPU VMs) by making preemptible spot instances useful for long-running jobs. From 0e915d3430d8027aa40b766605bb13c889ffc62f Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Fri, 25 Oct 2024 18:54:11 -0700 Subject: [PATCH 010/152] [UX] remove all uses of deprecated `sky jobs` (#4173) * [UX] remove all uses of deprecated `sky jobs` * Apply suggestions from code review Co-authored-by: Romil Bhardwaj * fix other mentions of "spot jobs" --------- Co-authored-by: Romil Bhardwaj --- docs/source/examples/managed-jobs.rst | 2 +- docs/source/reference/faq.rst | 2 +- examples/managed_job_with_storage.yaml | 2 +- llm/axolotl/axolotl-spot.yaml | 2 +- llm/axolotl/readme.md | 2 +- llm/falcon/README.md | 12 ++++++------ llm/vicuna-llama-2/README.md | 6 +++--- llm/vicuna/README.md | 4 ++-- sky/cli.py | 2 +- sky/jobs/controller.py | 2 +- tests/backward_compatibility_tests.sh | 4 ++-- 11 files changed, 20 insertions(+), 20 deletions(-) diff --git a/docs/source/examples/managed-jobs.rst b/docs/source/examples/managed-jobs.rst index 993ad361d66..8e329adaa81 100644 --- a/docs/source/examples/managed-jobs.rst +++ b/docs/source/examples/managed-jobs.rst @@ -99,7 +99,7 @@ We can launch it with the following: setup: | # Fill in your wandb key: copy from https://wandb.ai/authorize # Alternatively, you can use `--env WANDB_API_KEY=$WANDB_API_KEY` - # to pass the key in the command line, during `sky spot launch`. + # to pass the key in the command line, during `sky jobs launch`. echo export WANDB_API_KEY=[YOUR-WANDB-API-KEY] >> ~/.bashrc pip install -e . diff --git a/docs/source/reference/faq.rst b/docs/source/reference/faq.rst index 5a966a0014f..1ade656b44b 100644 --- a/docs/source/reference/faq.rst +++ b/docs/source/reference/faq.rst @@ -38,7 +38,7 @@ How to ensure my workdir's ``.git`` is synced up for managed spot jobs? Currently, there is a difference in whether ``.git`` is synced up depending on the command used: - For regular ``sky launch``, the workdir's ``.git`` is synced up by default. -- For managed spot jobs ``sky spot launch``, the workdir's ``.git`` is excluded by default. +- For managed jobs ``sky jobs launch``, the workdir's ``.git`` is excluded by default. In the second case, to ensure the workdir's ``.git`` is synced up for managed spot jobs, you can explicitly add a file mount to sync it up: diff --git a/examples/managed_job_with_storage.yaml b/examples/managed_job_with_storage.yaml index 61244c16ba0..677e2c8ed6d 100644 --- a/examples/managed_job_with_storage.yaml +++ b/examples/managed_job_with_storage.yaml @@ -3,7 +3,7 @@ # Runs a task that uses cloud buckets for uploading and accessing files. # # Usage: -# sky spot launch -c spot-storage examples/managed_job_with_storage.yaml +# sky jobs launch -c spot-storage examples/managed_job_with_storage.yaml # sky down spot-storage resources: diff --git a/llm/axolotl/axolotl-spot.yaml b/llm/axolotl/axolotl-spot.yaml index b22a8ae3fce..0e04ba11992 100644 --- a/llm/axolotl/axolotl-spot.yaml +++ b/llm/axolotl/axolotl-spot.yaml @@ -4,7 +4,7 @@ # HF_TOKEN=abc BUCKET= sky launch -c axolotl-spot axolotl-spot.yaml --env HF_TOKEN --env BUCKET -i30 --down # # Managed spot (auto-recovery; for full runs): -# HF_TOKEN=abc BUCKET= sky spot launch -n axolotl-spot axolotl-spot.yaml --env HF_TOKEN --env BUCKET +# HF_TOKEN=abc BUCKET= sky jobs launch -n axolotl-spot axolotl-spot.yaml --env HF_TOKEN --env BUCKET name: axolotl diff --git a/llm/axolotl/readme.md b/llm/axolotl/readme.md index 0cc06b98723..eb80231aa93 100644 --- a/llm/axolotl/readme.md +++ b/llm/axolotl/readme.md @@ -22,5 +22,5 @@ ssh -L 8888:localhost:8888 axolotl-spot Launch managed spot instances (auto-recovery; for full runs): ``` -HF_TOKEN=abc BUCKET= sky spot launch -n axolotl-spot axolotl-spot.yaml --env HF_TOKEN --env BUCKET +HF_TOKEN=abc BUCKET= sky jobs launch -n axolotl-spot axolotl-spot.yaml --env HF_TOKEN --env BUCKET ``` diff --git a/llm/falcon/README.md b/llm/falcon/README.md index 6eb480d9ea8..1f40dc9f524 100644 --- a/llm/falcon/README.md +++ b/llm/falcon/README.md @@ -1,6 +1,6 @@ # Finetuning Falcon with SkyPilot -This README contains instructions on how to use SkyPilot to finetune Falcon-7B and Falcon-40B, an open-source LLM that rivals many current closed-source models, including ChatGPT. +This README contains instructions on how to use SkyPilot to finetune Falcon-7B and Falcon-40B, an open-source LLM that rivals many current closed-source models, including ChatGPT. * [Blog post](https://huggingface.co/blog/falcon) * [Repo](https://huggingface.co/tiiuae/falcon-40b) @@ -16,10 +16,10 @@ sky check See the Falcon SkyPilot YAML for [training](train.yaml). Serving is currently a work in progress and a YAML will be provided for that soon! We are also working on adding an evaluation step to evaluate the model you finetuned compared to the base model. ## Running Falcon on SkyPilot -Finetuning `Falcon-7B` and `Falcon-40B` require GPUs with 80GB memory, +Finetuning `Falcon-7B` and `Falcon-40B` require GPUs with 80GB memory, but `Falcon-7b-sharded` requires only 40GB memory. Thus, * If your GPU has 40 GB memory or less (e.g., Nvidia A100): use `ybelkada/falcon-7b-sharded-bf16`. -* If your GPU has 80 GB memory (e.g., Nvidia A100-80GB): you can also use `tiiuae/falcon-7b` and `tiiuae/falcon-40b`. +* If your GPU has 80 GB memory (e.g., Nvidia A100-80GB): you can also use `tiiuae/falcon-7b` and `tiiuae/falcon-40b`. Try `sky show-gpus --all` for supported GPUs. @@ -32,13 +32,13 @@ Steps for training on your cloud(s): 1. In [train.yaml](train.yaml), set the following variables in `envs`: - Replace the `OUTPUT_BUCKET_NAME` with a unique name. SkyPilot will create this bucket for you to store the model weights. - - Replace the `WANDB_API_KEY` to your own key. - - Replace the `MODEL_NAME` with your desired base model. + - Replace the `WANDB_API_KEY` to your own key. + - Replace the `MODEL_NAME` with your desired base model. 2. **Training the Falcon model using spot instances**: ```bash -sky spot launch -n falcon falcon.yaml +sky jobs launch --use-spot -n falcon falcon.yaml ``` Currently, such `A100-80GB:1` spot instances are only available on AWS and GCP. diff --git a/llm/vicuna-llama-2/README.md b/llm/vicuna-llama-2/README.md index 24caa525a56..e392b231e64 100644 --- a/llm/vicuna-llama-2/README.md +++ b/llm/vicuna-llama-2/README.md @@ -120,12 +120,12 @@ sky launch --no-use-spot ... ### Reducing costs by 3x with spot instances -[SkyPilot Managed Spot](https://skypilot.readthedocs.io/en/latest/examples/spot-jobs.html) is a library built on top of SkyPilot that helps users run jobs on spot instances without worrying about interruptions. That is the tool used by the LMSYS organization to train the first version of Vicuna (more details can be found in their [launch blog post](https://lmsys.org/blog/2023-03-30-vicuna/) and [example](https://github.com/skypilot-org/skypilot/tree/master/llm/vicuna)). With this, the training cost can be reduced from $1000 to **\$300**. +[SkyPilot Managed Jobs](https://skypilot.readthedocs.io/en/latest/examples/managed-jobs.html) is a library built on top of SkyPilot that helps users run jobs on spot instances without worrying about interruptions. That is the tool used by the LMSYS organization to train the first version of Vicuna (more details can be found in their [launch blog post](https://lmsys.org/blog/2023-03-30-vicuna/) and [example](https://github.com/skypilot-org/skypilot/tree/master/llm/vicuna)). With this, the training cost can be reduced from $1000 to **\$300**. -To use SkyPilot Managed Spot, you can simply replace `sky launch` with `sky spot launch` in the above command: +To use SkyPilot Managed Spot Jobs, you can simply replace `sky launch` with `sky jobs launch` in the above command: ```bash -sky spot launch -n vicuna train.yaml \ +sky jobs launch -n vicuna train.yaml \ --env ARTIFACT_BUCKET_NAME= \ --env WANDB_API_KEY= ``` diff --git a/llm/vicuna/README.md b/llm/vicuna/README.md index b511eb7f4b0..6d9f46127d4 100644 --- a/llm/vicuna/README.md +++ b/llm/vicuna/README.md @@ -63,14 +63,14 @@ Steps for training on your cloud(s): 2. **Training the Vicuna-7B model on 8 A100 GPUs (80GB memory) using spot instances**: ```bash # Launch it on managed spot to save 3x cost -sky spot launch -n vicuna train.yaml +sky jobs launch -n vicuna train.yaml ``` Note: if you would like to see the training curve on W&B, you can add `--env WANDB_API_KEY` to the above command, which will propagate your local W&B API key in the environment variable to the job. [Optional] Train a larger 13B model ``` # Train a 13B model instead of the default 7B -sky spot launch -n vicuna-7b train.yaml --env MODEL_SIZE=13 +sky jobs launch -n vicuna-7b train.yaml --env MODEL_SIZE=13 # Use *unmanaged* spot instances (i.e., preemptions won't get auto-recovered). # Unmanaged spot provides a better interactive development experience but is vulnerable to spot preemptions. diff --git a/sky/cli.py b/sky/cli.py index 6e0587cc117..db1befb04a3 100644 --- a/sky/cli.py +++ b/sky/cli.py @@ -3519,7 +3519,7 @@ def jobs(): default=None, type=str, hidden=True, - help=('Alias for --name, the name of the spot job.')) + help=('Alias for --name, the name of the managed job.')) @click.option('--job-recovery', default=None, type=str, diff --git a/sky/jobs/controller.py b/sky/jobs/controller.py index f3cd81576e2..1faa5dfbe31 100644 --- a/sky/jobs/controller.py +++ b/sky/jobs/controller.py @@ -215,7 +215,7 @@ def _run_one_task(self, task_id: int, task: 'sky.Task') -> bool: end_time=end_time, callback_func=callback_func) logger.info( - f'Spot job {self._job_id} (task: {task_id}) SUCCEEDED. ' + f'Managed job {self._job_id} (task: {task_id}) SUCCEEDED. ' f'Cleaning up the cluster {cluster_name}.') # Only clean up the cluster, not the storages, because tasks may # share storages. diff --git a/tests/backward_compatibility_tests.sh b/tests/backward_compatibility_tests.sh index 4f83c379ccf..276fda899dd 100644 --- a/tests/backward_compatibility_tests.sh +++ b/tests/backward_compatibility_tests.sh @@ -167,8 +167,8 @@ MANAGED_JOB_JOB_NAME=${CLUSTER_NAME}-${uuid:0:4} if [ "$start_from" -le 7 ]; then conda activate sky-back-compat-master rm -r ~/.sky/wheels || true -sky spot launch -d --cloud ${CLOUD} -y --cpus 2 --num-nodes 2 -n ${MANAGED_JOB_JOB_NAME}-7-0 "echo hi; sleep 1000" -sky spot launch -d --cloud ${CLOUD} -y --cpus 2 --num-nodes 2 -n ${MANAGED_JOB_JOB_NAME}-7-1 "echo hi; sleep 400" +sky jobs launch -d --cloud ${CLOUD} -y --cpus 2 --num-nodes 2 -n ${MANAGED_JOB_JOB_NAME}-7-0 "echo hi; sleep 1000" +sky jobs launch -d --cloud ${CLOUD} -y --cpus 2 --num-nodes 2 -n ${MANAGED_JOB_JOB_NAME}-7-1 "echo hi; sleep 400" conda activate sky-back-compat-current rm -r ~/.sky/wheels || true s=$(sky jobs queue | grep ${MANAGED_JOB_JOB_NAME}-7 | grep "RUNNING" | wc -l) From 647fcea335dec9f180421342d6c41cd67a3c8674 Mon Sep 17 00:00:00 2001 From: Tian Xia Date: Sat, 26 Oct 2024 13:34:01 -0700 Subject: [PATCH 011/152] [Azure] Support fractional A10 instance types (#3877) * fix * change catalog to float gpu num * support print float point gpu in sky launch. TODO: test if the ray deployment group works for fractional one * fix unittest * format * patch ray resources to ceil value * support launch from --gpus A10 * only allow strictly match fractional gpu counts * address comment * change back condition * fix * apply suggestions from code review * fix * Update sky/backends/cloud_vm_ray_backend.py Co-authored-by: Zhanghao Wu * format * fix display of fuzzy candidates * fix precision issue * fix num gpu required * refactor in check_resources_fit_cluster * change type annotation of acc_count * enable fuzzy fp acc count * fix k8s * Update sky/clouds/service_catalog/common.py Co-authored-by: Zhanghao Wu * fix integer gpus * format --------- Co-authored-by: Zhanghao Wu --- sky/backends/cloud_vm_ray_backend.py | 15 +++++++++ sky/clouds/aws.py | 11 +++---- sky/clouds/azure.py | 10 +++--- sky/clouds/cloud.py | 18 +++++++---- sky/clouds/cudo.py | 11 +++---- sky/clouds/fluidstack.py | 11 +++---- sky/clouds/gcp.py | 4 +-- sky/clouds/ibm.py | 11 +++---- sky/clouds/kubernetes.py | 11 +++---- sky/clouds/lambda_cloud.py | 11 +++---- sky/clouds/oci.py | 11 +++---- sky/clouds/paperspace.py | 11 +++---- sky/clouds/runpod.py | 11 +++---- sky/clouds/scp.py | 11 +++---- sky/clouds/service_catalog/__init__.py | 2 +- sky/clouds/service_catalog/aws_catalog.py | 4 +-- sky/clouds/service_catalog/azure_catalog.py | 5 +-- sky/clouds/service_catalog/common.py | 21 ++++++++---- sky/clouds/service_catalog/cudo_catalog.py | 4 +-- .../data_fetchers/fetch_azure.py | 32 ++++++++++++------- .../service_catalog/fluidstack_catalog.py | 4 +-- sky/clouds/service_catalog/ibm_catalog.py | 4 +-- sky/clouds/service_catalog/lambda_catalog.py | 4 +-- sky/clouds/service_catalog/oci_catalog.py | 4 +-- .../service_catalog/paperspace_catalog.py | 4 +-- sky/clouds/service_catalog/runpod_catalog.py | 4 +-- sky/clouds/service_catalog/scp_catalog.py | 4 +-- sky/clouds/service_catalog/vsphere_catalog.py | 4 +-- sky/clouds/vsphere.py | 11 +++---- sky/resources.py | 2 +- sky/utils/resources_utils.py | 14 +++++++- 31 files changed, 150 insertions(+), 134 deletions(-) diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index f0fb4d97ba1..918848b045b 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -2713,6 +2713,21 @@ def check_resources_fit_cluster( f' Existing:\t{handle.launched_nodes}x ' f'{handle.launched_resources}\n' f'{mismatch_str}') + else: + # For fractional acc count clusters, we round up the number of accs + # to 1 (sky/utils/resources_utils.py::make_ray_custom_resources_str) + # Here we scale the required acc count to (required / launched) * 1 + # so the total number of accs is the same as the requested number. + launched_accs = launched_resources.accelerators + if (launched_accs is not None and + valid_resource.accelerators is not None): + for _, count in launched_accs.items(): + if isinstance(count, float) and not count.is_integer(): + valid_resource = valid_resource.copy( + accelerators={ + k: v / count + for k, v in valid_resource.accelerators.items() + }) return valid_resource def _provision( diff --git a/sky/clouds/aws.py b/sky/clouds/aws.py index a0962b17cac..43062ebf393 100644 --- a/sky/clouds/aws.py +++ b/sky/clouds/aws.py @@ -2,13 +2,12 @@ import enum import fnmatch import functools -import json import os import re import subprocess import time import typing -from typing import Any, Dict, Iterator, List, Optional, Set, Tuple +from typing import Any, Dict, Iterator, List, Optional, Set, Tuple, Union from sky import clouds from sky import exceptions @@ -383,7 +382,7 @@ def get_default_instance_type( def get_accelerators_from_instance_type( cls, instance_type: str, - ) -> Optional[Dict[str, int]]: + ) -> Optional[Dict[str, Union[int, float]]]: return service_catalog.get_accelerators_from_instance_type( instance_type, clouds='aws') @@ -411,10 +410,8 @@ def make_deploy_resources_variables( r = resources # r.accelerators is cleared but .instance_type encodes the info. acc_dict = self.get_accelerators_from_instance_type(r.instance_type) - if acc_dict is not None: - custom_resources = json.dumps(acc_dict, separators=(',', ':')) - else: - custom_resources = None + custom_resources = resources_utils.make_ray_custom_resources_str( + acc_dict) if r.extract_docker_image() is not None: image_id_to_use = None diff --git a/sky/clouds/azure.py b/sky/clouds/azure.py index 0852c993ed3..fc9579d17c0 100644 --- a/sky/clouds/azure.py +++ b/sky/clouds/azure.py @@ -1,12 +1,11 @@ """Azure.""" import functools -import json import os import re import subprocess import textwrap import typing -from typing import Any, Dict, Iterator, List, Optional, Tuple +from typing import Any, Dict, Iterator, List, Optional, Tuple, Union import colorama @@ -272,7 +271,7 @@ def zones_provision_loop( def get_accelerators_from_instance_type( cls, instance_type: str, - ) -> Optional[Dict[str, int]]: + ) -> Optional[Dict[str, Union[int, float]]]: return service_catalog.get_accelerators_from_instance_type( instance_type, clouds='azure') @@ -304,10 +303,9 @@ def make_deploy_resources_variables( acc_dict = self.get_accelerators_from_instance_type(r.instance_type) acc_count = None if acc_dict is not None: - custom_resources = json.dumps(acc_dict, separators=(',', ':')) acc_count = str(sum(acc_dict.values())) - else: - custom_resources = None + custom_resources = resources_utils.make_ray_custom_resources_str( + acc_dict) if (resources.image_id is None or resources.extract_docker_image() is not None): diff --git a/sky/clouds/cloud.py b/sky/clouds/cloud.py index 3e21204f0a3..4028c1fef59 100644 --- a/sky/clouds/cloud.py +++ b/sky/clouds/cloud.py @@ -9,8 +9,9 @@ """ import collections import enum +import math import typing -from typing import Dict, Iterable, Iterator, List, Optional, Set, Tuple +from typing import Dict, Iterable, Iterator, List, Optional, Set, Tuple, Union from sky import exceptions from sky import skypilot_config @@ -306,7 +307,7 @@ def get_vcpus_mem_from_instance_type( def get_accelerators_from_instance_type( cls, instance_type: str, - ) -> Optional[Dict[str, int]]: + ) -> Optional[Dict[str, Union[int, float]]]: """Returns {acc: acc_count} held by 'instance_type', if any.""" raise NotImplementedError @@ -673,8 +674,9 @@ def _check_instance_type_accelerators_combination( assert resources.is_launchable(), resources def _equal_accelerators( - acc_requested: Optional[Dict[str, int]], - acc_from_instance_type: Optional[Dict[str, int]]) -> bool: + acc_requested: Optional[Dict[str, Union[int, float]]], + acc_from_instance_type: Optional[Dict[str, Union[int, + float]]]) -> bool: """Check the requested accelerators equals to the instance type Check the requested accelerators equals to the accelerators @@ -689,12 +691,14 @@ def _equal_accelerators( for acc in acc_requested: if acc not in acc_from_instance_type: return False - if acc_requested[acc] != acc_from_instance_type[acc]: + # Avoid float point precision issue. + if not math.isclose(acc_requested[acc], + acc_from_instance_type[acc]): return False return True - acc_from_instance_type = (cls.get_accelerators_from_instance_type( - resources.instance_type)) + acc_from_instance_type = cls.get_accelerators_from_instance_type( + resources.instance_type) if not _equal_accelerators(resources.accelerators, acc_from_instance_type): with ux_utils.print_exception_no_traceback(): diff --git a/sky/clouds/cudo.py b/sky/clouds/cudo.py index 4dca442fa01..6f02e007049 100644 --- a/sky/clouds/cudo.py +++ b/sky/clouds/cudo.py @@ -1,8 +1,7 @@ """Cudo Compute""" -import json import subprocess import typing -from typing import Dict, Iterator, List, Optional, Tuple +from typing import Dict, Iterator, List, Optional, Tuple, Union from sky import clouds from sky.clouds import service_catalog @@ -183,7 +182,7 @@ def get_default_instance_type( def get_accelerators_from_instance_type( cls, instance_type: str, - ) -> Optional[Dict[str, int]]: + ) -> Optional[Dict[str, Union[int, float]]]: return service_catalog.get_accelerators_from_instance_type( instance_type, clouds='cudo') @@ -202,10 +201,8 @@ def make_deploy_resources_variables( del zones, cluster_name # unused r = resources acc_dict = self.get_accelerators_from_instance_type(r.instance_type) - if acc_dict is not None: - custom_resources = json.dumps(acc_dict, separators=(',', ':')) - else: - custom_resources = None + custom_resources = resources_utils.make_ray_custom_resources_str( + acc_dict) return { 'instance_type': resources.instance_type, diff --git a/sky/clouds/fluidstack.py b/sky/clouds/fluidstack.py index 473fceabbe3..31e2112f8f7 100644 --- a/sky/clouds/fluidstack.py +++ b/sky/clouds/fluidstack.py @@ -1,8 +1,7 @@ """Fluidstack Cloud.""" -import json import os import typing -from typing import Dict, Iterator, List, Optional, Tuple +from typing import Dict, Iterator, List, Optional, Tuple, Union import requests @@ -155,7 +154,7 @@ def get_default_instance_type( def get_accelerators_from_instance_type( cls, instance_type: str, - ) -> Optional[Dict[str, int]]: + ) -> Optional[Dict[str, Union[int, float]]]: return service_catalog.get_accelerators_from_instance_type( instance_type, clouds='fluidstack') @@ -184,10 +183,8 @@ def make_deploy_resources_variables( r = resources acc_dict = self.get_accelerators_from_instance_type(r.instance_type) - if acc_dict is not None: - custom_resources = json.dumps(acc_dict, separators=(',', ':')) - else: - custom_resources = None + custom_resources = resources_utils.make_ray_custom_resources_str( + acc_dict) return { 'instance_type': resources.instance_type, diff --git a/sky/clouds/gcp.py b/sky/clouds/gcp.py index 1b70abf914d..0e20fdc9789 100644 --- a/sky/clouds/gcp.py +++ b/sky/clouds/gcp.py @@ -7,7 +7,7 @@ import subprocess import time import typing -from typing import Any, Dict, Iterator, List, Optional, Set, Tuple +from typing import Any, Dict, Iterator, List, Optional, Set, Tuple, Union import colorama @@ -669,7 +669,7 @@ def _get_feasible_launchable_resources( def get_accelerators_from_instance_type( cls, instance_type: str, - ) -> Optional[Dict[str, int]]: + ) -> Optional[Dict[str, Union[int, float]]]: # GCP handles accelerators separately from regular instance types, # hence return none here. return None diff --git a/sky/clouds/ibm.py b/sky/clouds/ibm.py index b78cc4287c0..0ac3c36cc48 100644 --- a/sky/clouds/ibm.py +++ b/sky/clouds/ibm.py @@ -1,8 +1,7 @@ """IBM Web Services.""" -import json import os import typing -from typing import Any, Dict, Iterator, List, Optional, Tuple +from typing import Any, Dict, Iterator, List, Optional, Tuple, Union import colorama @@ -206,10 +205,8 @@ def _get_profile_resources(instance_profile): 'IBM does not currently support spot instances in this framework' acc_dict = self.get_accelerators_from_instance_type(r.instance_type) - if acc_dict is not None: - custom_resources = json.dumps(acc_dict, separators=(',', ':')) - else: - custom_resources = None + custom_resources = resources_utils.make_ray_custom_resources_str( + acc_dict) instance_resources = _get_profile_resources(r.instance_type) @@ -247,7 +244,7 @@ def get_vcpus_mem_from_instance_type( def get_accelerators_from_instance_type( cls, instance_type: str, - ) -> Optional[Dict[str, int]]: + ) -> Optional[Dict[str, Union[int, float]]]: """Returns {acc: acc_count} held by 'instance_type', if any.""" return service_catalog.get_accelerators_from_instance_type( instance_type, clouds='ibm') diff --git a/sky/clouds/kubernetes.py b/sky/clouds/kubernetes.py index 8ff4172a5b1..39ddbe30577 100644 --- a/sky/clouds/kubernetes.py +++ b/sky/clouds/kubernetes.py @@ -1,10 +1,9 @@ """Kubernetes.""" import functools -import json import os import re import typing -from typing import Dict, Iterator, List, Optional, Tuple +from typing import Dict, Iterator, List, Optional, Tuple, Union from sky import clouds from sky import sky_logging @@ -271,7 +270,7 @@ def get_default_instance_type( def get_accelerators_from_instance_type( cls, instance_type: str, - ) -> Optional[Dict[str, int]]: + ) -> Optional[Dict[str, Union[int, float]]]: inst = kubernetes_utils.KubernetesInstanceType.from_instance_type( instance_type) return { @@ -328,10 +327,8 @@ def make_deploy_resources_variables( r = resources acc_dict = self.get_accelerators_from_instance_type(r.instance_type) - if acc_dict is not None: - custom_resources = json.dumps(acc_dict, separators=(',', ':')) - else: - custom_resources = None + custom_resources = resources_utils.make_ray_custom_resources_str( + acc_dict) # resources.memory and cpus are None if they are not explicitly set. # We fetch the default values for the instance type in that case. diff --git a/sky/clouds/lambda_cloud.py b/sky/clouds/lambda_cloud.py index 0201f4f76ad..055a5338750 100644 --- a/sky/clouds/lambda_cloud.py +++ b/sky/clouds/lambda_cloud.py @@ -1,7 +1,6 @@ """Lambda Cloud.""" -import json import typing -from typing import Dict, Iterator, List, Optional, Tuple +from typing import Dict, Iterator, List, Optional, Tuple, Union import requests @@ -136,7 +135,7 @@ def get_default_instance_type( def get_accelerators_from_instance_type( cls, instance_type: str, - ) -> Optional[Dict[str, int]]: + ) -> Optional[Dict[str, Union[int, float]]]: return service_catalog.get_accelerators_from_instance_type( instance_type, clouds='lambda') @@ -164,10 +163,8 @@ def make_deploy_resources_variables( r = resources acc_dict = self.get_accelerators_from_instance_type(r.instance_type) - if acc_dict is not None: - custom_resources = json.dumps(acc_dict, separators=(',', ':')) - else: - custom_resources = None + custom_resources = resources_utils.make_ray_custom_resources_str( + acc_dict) resources_vars = { 'instance_type': resources.instance_type, diff --git a/sky/clouds/oci.py b/sky/clouds/oci.py index 0feda467bbf..93a70c5ac37 100644 --- a/sky/clouds/oci.py +++ b/sky/clouds/oci.py @@ -20,11 +20,10 @@ - Hysun He (hysun.he@oracle.com) @ Oct 13, 2024: Support more OS types additional to ubuntu for OCI resources. """ -import json import logging import os import typing -from typing import Dict, Iterator, List, Optional, Tuple +from typing import Dict, Iterator, List, Optional, Tuple, Union from sky import clouds from sky import exceptions @@ -193,7 +192,7 @@ def get_default_instance_type( def get_accelerators_from_instance_type( cls, instance_type: str, - ) -> Optional[Dict[str, int]]: + ) -> Optional[Dict[str, Union[int, float]]]: return service_catalog.get_accelerators_from_instance_type( instance_type, clouds='oci') @@ -213,10 +212,8 @@ def make_deploy_resources_variables( acc_dict = self.get_accelerators_from_instance_type( resources.instance_type) - if acc_dict is not None: - custom_resources = json.dumps(acc_dict, separators=(',', ':')) - else: - custom_resources = None + custom_resources = resources_utils.make_ray_custom_resources_str( + acc_dict) image_str = self._get_image_id(resources.image_id, region.name, resources.instance_type) diff --git a/sky/clouds/paperspace.py b/sky/clouds/paperspace.py index 4c4fa1d695a..4047a2f5926 100644 --- a/sky/clouds/paperspace.py +++ b/sky/clouds/paperspace.py @@ -1,8 +1,7 @@ """ Paperspace Cloud. """ -import json import typing -from typing import Dict, Iterator, List, Optional, Tuple +from typing import Dict, Iterator, List, Optional, Tuple, Union import requests @@ -162,7 +161,7 @@ def get_default_instance_type( @classmethod def get_accelerators_from_instance_type( - cls, instance_type: str) -> Optional[Dict[str, int]]: + cls, instance_type: str) -> Optional[Dict[str, Union[int, float]]]: return service_catalog.get_accelerators_from_instance_type( instance_type, clouds='paperspace') @@ -181,10 +180,8 @@ def make_deploy_resources_variables( r = resources acc_dict = self.get_accelerators_from_instance_type(r.instance_type) - if acc_dict is not None: - custom_resources = json.dumps(acc_dict, separators=(',', ':')) - else: - custom_resources = None + custom_resources = resources_utils.make_ray_custom_resources_str( + acc_dict) return { 'instance_type': resources.instance_type, diff --git a/sky/clouds/runpod.py b/sky/clouds/runpod.py index 6cfdf11c6b4..0d693fd9f60 100644 --- a/sky/clouds/runpod.py +++ b/sky/clouds/runpod.py @@ -1,8 +1,7 @@ """ RunPod Cloud. """ -import json import typing -from typing import Dict, Iterator, List, Optional, Tuple +from typing import Dict, Iterator, List, Optional, Tuple, Union from sky import clouds from sky.clouds import service_catalog @@ -147,7 +146,7 @@ def get_default_instance_type( @classmethod def get_accelerators_from_instance_type( - cls, instance_type: str) -> Optional[Dict[str, int]]: + cls, instance_type: str) -> Optional[Dict[str, Union[int, float]]]: return service_catalog.get_accelerators_from_instance_type( instance_type, clouds='runpod') @@ -166,10 +165,8 @@ def make_deploy_resources_variables( r = resources acc_dict = self.get_accelerators_from_instance_type(r.instance_type) - if acc_dict is not None: - custom_resources = json.dumps(acc_dict, separators=(',', ':')) - else: - custom_resources = None + custom_resources = resources_utils.make_ray_custom_resources_str( + acc_dict) if r.image_id is None: image_id = 'runpod/base:0.0.2' diff --git a/sky/clouds/scp.py b/sky/clouds/scp.py index 17a54ce1607..d0ad611bf0c 100644 --- a/sky/clouds/scp.py +++ b/sky/clouds/scp.py @@ -4,9 +4,8 @@ to access the SCP catalog and check credentials for the SCP access. """ -import json import typing -from typing import Dict, Iterator, List, Optional, Tuple +from typing import Dict, Iterator, List, Optional, Tuple, Union from sky import clouds from sky import exceptions @@ -160,7 +159,7 @@ def get_default_instance_type( def get_accelerators_from_instance_type( cls, instance_type: str, - ) -> Optional[Dict[str, int]]: + ) -> Optional[Dict[str, Union[int, float]]]: return service_catalog.get_accelerators_from_instance_type( instance_type, clouds='scp') @@ -188,11 +187,9 @@ def make_deploy_resources_variables( r = resources acc_dict = self.get_accelerators_from_instance_type(r.instance_type) + custom_resources = resources_utils.make_ray_custom_resources_str( + acc_dict) - if acc_dict is not None: - custom_resources = json.dumps(acc_dict, separators=(',', ':')) - else: - custom_resources = None image_id = self._get_image_id(r.image_id, region.name, r.instance_type) return { 'instance_type': resources.instance_type, diff --git a/sky/clouds/service_catalog/__init__.py b/sky/clouds/service_catalog/__init__.py index f2301bac466..4deab8ac204 100644 --- a/sky/clouds/service_catalog/__init__.py +++ b/sky/clouds/service_catalog/__init__.py @@ -238,7 +238,7 @@ def get_default_instance_type(cpus: Optional[str] = None, def get_accelerators_from_instance_type( instance_type: str, - clouds: CloudFilter = None) -> Optional[Dict[str, int]]: + clouds: CloudFilter = None) -> Optional[Dict[str, Union[int, float]]]: """Returns the accelerators from a instance type.""" return _map_clouds_catalog(clouds, 'get_accelerators_from_instance_type', instance_type) diff --git a/sky/clouds/service_catalog/aws_catalog.py b/sky/clouds/service_catalog/aws_catalog.py index d156135047b..918a4070414 100644 --- a/sky/clouds/service_catalog/aws_catalog.py +++ b/sky/clouds/service_catalog/aws_catalog.py @@ -8,7 +8,7 @@ import os import threading import typing -from typing import Dict, List, Optional, Tuple +from typing import Dict, List, Optional, Tuple, Union from sky import exceptions from sky import sky_logging @@ -243,7 +243,7 @@ def get_default_instance_type( def get_accelerators_from_instance_type( - instance_type: str) -> Optional[Dict[str, int]]: + instance_type: str) -> Optional[Dict[str, Union[int, float]]]: return common.get_accelerators_from_instance_type_impl( _get_df(), instance_type) diff --git a/sky/clouds/service_catalog/azure_catalog.py b/sky/clouds/service_catalog/azure_catalog.py index 867141f7899..62cb422bf83 100644 --- a/sky/clouds/service_catalog/azure_catalog.py +++ b/sky/clouds/service_catalog/azure_catalog.py @@ -4,7 +4,7 @@ instance types and pricing information for Azure. """ import re -from typing import Dict, List, Optional, Tuple +from typing import Dict, List, Optional, Tuple, Union from sky import clouds as cloud_lib from sky import sky_logging @@ -137,7 +137,7 @@ def _filter_disk_type(instance_type: str) -> bool: def get_accelerators_from_instance_type( - instance_type: str) -> Optional[Dict[str, int]]: + instance_type: str) -> Optional[Dict[str, Union[int, float]]]: return common.get_accelerators_from_instance_type_impl(_df, instance_type) @@ -157,6 +157,7 @@ def get_instance_type_for_accelerator( if zone is not None: with ux_utils.print_exception_no_traceback(): raise ValueError('Azure does not support zones.') + return common.get_instance_type_for_accelerator_impl(df=_df, acc_name=acc_name, acc_count=acc_count, diff --git a/sky/clouds/service_catalog/common.py b/sky/clouds/service_catalog/common.py index 4df72824027..1082b4e9efd 100644 --- a/sky/clouds/service_catalog/common.py +++ b/sky/clouds/service_catalog/common.py @@ -5,7 +5,7 @@ import os import time import typing -from typing import Callable, Dict, List, NamedTuple, Optional, Tuple +from typing import Callable, Dict, List, NamedTuple, Optional, Tuple, Union import filelock import requests @@ -481,7 +481,7 @@ def get_instance_type_for_cpus_mem_impl( def get_accelerators_from_instance_type_impl( df: 'pd.DataFrame', instance_type: str, -) -> Optional[Dict[str, int]]: +) -> Optional[Dict[str, Union[int, float]]]: df = _get_instance_type(df, instance_type, None) if len(df) == 0: with ux_utils.print_exception_no_traceback(): @@ -490,13 +490,19 @@ def get_accelerators_from_instance_type_impl( acc_name, acc_count = row['AcceleratorName'], row['AcceleratorCount'] if pd.isnull(acc_name): return None - return {acc_name: int(acc_count)} + + def _convert(value): + if int(value) == value: + return int(value) + return float(value) + + return {acc_name: _convert(acc_count)} def get_instance_type_for_accelerator_impl( df: 'pd.DataFrame', acc_name: str, - acc_count: int, + acc_count: Union[int, float], cpus: Optional[str] = None, memory: Optional[str] = None, use_spot: bool = False, @@ -509,7 +515,7 @@ def get_instance_type_for_accelerator_impl( accelerators with sorted prices and a list of candidates with fuzzy search. """ result = df[(df['AcceleratorName'].str.fullmatch(acc_name, case=False)) & - (df['AcceleratorCount'] == acc_count)] + (abs(df['AcceleratorCount'] - acc_count) <= 0.01)] result = _filter_region_zone(result, region, zone) if len(result) == 0: fuzzy_result = df[ @@ -522,8 +528,11 @@ def get_instance_type_for_accelerator_impl( fuzzy_candidate_list = [] if len(fuzzy_result) > 0: for _, row in fuzzy_result.iterrows(): + acc_cnt = float(row['AcceleratorCount']) + acc_count_display = (int(acc_cnt) if acc_cnt.is_integer() else + f'{acc_cnt:.2f}') fuzzy_candidate_list.append(f'{row["AcceleratorName"]}:' - f'{int(row["AcceleratorCount"])}') + f'{acc_count_display}') return (None, fuzzy_candidate_list) result = _filter_with_cpus(result, cpus) diff --git a/sky/clouds/service_catalog/cudo_catalog.py b/sky/clouds/service_catalog/cudo_catalog.py index 62832cba5bf..d4adc5baea5 100644 --- a/sky/clouds/service_catalog/cudo_catalog.py +++ b/sky/clouds/service_catalog/cudo_catalog.py @@ -1,7 +1,7 @@ """Cudo Compute Offerings Catalog.""" import typing -from typing import Dict, List, Optional, Tuple +from typing import Dict, List, Optional, Tuple, Union from sky.clouds.service_catalog import common import sky.provision.cudo.cudo_machine_type as cudo_mt @@ -66,7 +66,7 @@ def get_default_instance_type(cpus: Optional[str] = None, def get_accelerators_from_instance_type( - instance_type: str) -> Optional[Dict[str, int]]: + instance_type: str) -> Optional[Dict[str, Union[int, float]]]: return common.get_accelerators_from_instance_type_impl(_df, instance_type) diff --git a/sky/clouds/service_catalog/data_fetchers/fetch_azure.py b/sky/clouds/service_catalog/data_fetchers/fetch_azure.py index bbd337e23aa..f646cac339a 100644 --- a/sky/clouds/service_catalog/data_fetchers/fetch_azure.py +++ b/sky/clouds/service_catalog/data_fetchers/fetch_azure.py @@ -93,14 +93,15 @@ def get_regions() -> List[str]: # We have to manually remove it. DEPRECATED_FAMILIES = ['standardNVSv2Family'] -# Some A10 instance types only contains a fractional of GPU. We temporarily -# filter them out here to avoid using it as a whole A10 GPU. -# TODO(zhwu,tian): support fractional GPUs, which can be done on -# kubernetes as well. +# Azure has those fractional A10 instance types, which still shows has 1 A10 GPU +# in the API response. We manually changing the number of GPUs to a float here. # Ref: https://learn.microsoft.com/en-us/azure/virtual-machines/nva10v5-series -FILTERED_A10_INSTANCE_TYPES = [ - f'Standard_NV{vcpu}ads_A10_v5' for vcpu in [6, 12, 18] -] +# TODO(zhwu,tian): Support fractional GPUs on k8s as well. +# TODO(tian): Maybe we should support literally fractional count, i.e. A10:1/6 +# instead of float point count (A10:0.167). +AZURE_FRACTIONAL_A10_INS_TYPE_TO_NUM_GPUS = { + f'Standard_NV{vcpu}ads_A10_v5': round(vcpu / 36, 3) for vcpu in [6, 12, 18] +} USEFUL_COLUMNS = [ 'InstanceType', 'AcceleratorName', 'AcceleratorCount', 'vCPUs', 'MemoryGiB', @@ -274,6 +275,19 @@ def get_additional_columns(row): axis='columns', ) + def _upd_a10_gpu_count(row): + new_gpu_cnt = AZURE_FRACTIONAL_A10_INS_TYPE_TO_NUM_GPUS.get( + row['InstanceType']) + if new_gpu_cnt is not None: + return new_gpu_cnt + return row['AcceleratorCount'] + + # Manually update the GPU count for fractional A10 instance types. + # Those instance types have fractional GPU count, but Azure API returns + # 1 GPU count for them. We manually update the GPU count here. + df_ret['AcceleratorCount'] = df_ret.apply(_upd_a10_gpu_count, + axis='columns') + # As of Dec 2023, a few H100 instance types fetched from Azure APIs do not # have pricing: # @@ -299,10 +313,6 @@ def get_additional_columns(row): after_drop_len = len(df_ret) print(f'Dropped {before_drop_len - after_drop_len} duplicated rows') - # Filter out instance types that only contain a fractional of GPU. - df_ret = df_ret.loc[~df_ret['InstanceType'].isin(FILTERED_A10_INSTANCE_TYPES - )] - # Filter out deprecated families df_ret = df_ret.loc[~df_ret['family'].isin(DEPRECATED_FAMILIES)] df_ret = df_ret[USEFUL_COLUMNS] diff --git a/sky/clouds/service_catalog/fluidstack_catalog.py b/sky/clouds/service_catalog/fluidstack_catalog.py index 2f47a38df43..7a28ac8174a 100644 --- a/sky/clouds/service_catalog/fluidstack_catalog.py +++ b/sky/clouds/service_catalog/fluidstack_catalog.py @@ -4,7 +4,7 @@ instance types and pricing information for FluidStack. """ import typing -from typing import Dict, List, Optional, Tuple +from typing import Dict, List, Optional, Tuple, Union from sky.clouds.service_catalog import common from sky.utils import ux_utils @@ -65,7 +65,7 @@ def get_default_instance_type(cpus: Optional[str] = None, def get_accelerators_from_instance_type( - instance_type: str) -> Optional[Dict[str, int]]: + instance_type: str) -> Optional[Dict[str, Union[int, float]]]: return common.get_accelerators_from_instance_type_impl(_df, instance_type) diff --git a/sky/clouds/service_catalog/ibm_catalog.py b/sky/clouds/service_catalog/ibm_catalog.py index 51b4e14f569..5cec86fbb65 100644 --- a/sky/clouds/service_catalog/ibm_catalog.py +++ b/sky/clouds/service_catalog/ibm_catalog.py @@ -4,7 +4,7 @@ instance types and pricing information for IBM. """ -from typing import Dict, List, Optional, Tuple +from typing import Dict, List, Optional, Tuple, Union from sky import sky_logging from sky.adaptors import ibm @@ -43,7 +43,7 @@ def get_vcpus_mem_from_instance_type( def get_accelerators_from_instance_type( - instance_type: str) -> Optional[Dict[str, int]]: + instance_type: str) -> Optional[Dict[str, Union[int, float]]]: return common.get_accelerators_from_instance_type_impl(_df, instance_type) diff --git a/sky/clouds/service_catalog/lambda_catalog.py b/sky/clouds/service_catalog/lambda_catalog.py index e843ab72cc0..24cb4064d54 100644 --- a/sky/clouds/service_catalog/lambda_catalog.py +++ b/sky/clouds/service_catalog/lambda_catalog.py @@ -4,7 +4,7 @@ instance types and pricing information for Lambda. """ import typing -from typing import Dict, List, Optional, Tuple +from typing import Dict, List, Optional, Tuple, Union from sky.clouds.service_catalog import common from sky.utils import resources_utils @@ -72,7 +72,7 @@ def get_default_instance_type( def get_accelerators_from_instance_type( - instance_type: str) -> Optional[Dict[str, int]]: + instance_type: str) -> Optional[Dict[str, Union[int, float]]]: return common.get_accelerators_from_instance_type_impl(_df, instance_type) diff --git a/sky/clouds/service_catalog/oci_catalog.py b/sky/clouds/service_catalog/oci_catalog.py index 47d0489f6ab..c8e475df871 100644 --- a/sky/clouds/service_catalog/oci_catalog.py +++ b/sky/clouds/service_catalog/oci_catalog.py @@ -14,7 +14,7 @@ import logging import threading import typing -from typing import Dict, List, Optional, Tuple +from typing import Dict, List, Optional, Tuple, Union from sky.adaptors import oci as oci_adaptor from sky.clouds import OCI @@ -131,7 +131,7 @@ def _filter_disk_type(instance_type: str) -> bool: def get_accelerators_from_instance_type( - instance_type: str) -> Optional[Dict[str, int]]: + instance_type: str) -> Optional[Dict[str, Union[int, float]]]: return common.get_accelerators_from_instance_type_impl( _get_df(), instance_type) diff --git a/sky/clouds/service_catalog/paperspace_catalog.py b/sky/clouds/service_catalog/paperspace_catalog.py index 1eb635c93e5..49948b219a1 100644 --- a/sky/clouds/service_catalog/paperspace_catalog.py +++ b/sky/clouds/service_catalog/paperspace_catalog.py @@ -5,7 +5,7 @@ """ import typing -from typing import Dict, List, Optional, Tuple +from typing import Dict, List, Optional, Tuple, Union from sky.clouds.service_catalog import common from sky.utils import ux_utils @@ -60,7 +60,7 @@ def get_default_instance_type( def get_accelerators_from_instance_type( - instance_type: str) -> Optional[Dict[str, int]]: + instance_type: str) -> Optional[Dict[str, Union[int, float]]]: return common.get_accelerators_from_instance_type_impl(_df, instance_type) diff --git a/sky/clouds/service_catalog/runpod_catalog.py b/sky/clouds/service_catalog/runpod_catalog.py index 2d3ed44307b..7fbc46206ed 100644 --- a/sky/clouds/service_catalog/runpod_catalog.py +++ b/sky/clouds/service_catalog/runpod_catalog.py @@ -5,7 +5,7 @@ """ import typing -from typing import Dict, List, Optional, Tuple +from typing import Dict, List, Optional, Tuple, Union from sky.clouds.service_catalog import common from sky.utils import ux_utils @@ -56,7 +56,7 @@ def get_default_instance_type(cpus: Optional[str] = None, def get_accelerators_from_instance_type( - instance_type: str) -> Optional[Dict[str, int]]: + instance_type: str) -> Optional[Dict[str, Union[int, float]]]: return common.get_accelerators_from_instance_type_impl(_df, instance_type) diff --git a/sky/clouds/service_catalog/scp_catalog.py b/sky/clouds/service_catalog/scp_catalog.py index 209bb4cf631..e4773ab3250 100644 --- a/sky/clouds/service_catalog/scp_catalog.py +++ b/sky/clouds/service_catalog/scp_catalog.py @@ -5,7 +5,7 @@ """ import typing -from typing import Dict, List, Optional, Tuple +from typing import Dict, List, Optional, Tuple, Union from sky.clouds.service_catalog import common from sky.utils import resources_utils @@ -67,7 +67,7 @@ def get_default_instance_type( def get_accelerators_from_instance_type( - instance_type: str) -> Optional[Dict[str, int]]: + instance_type: str) -> Optional[Dict[str, Union[int, float]]]: return common.get_accelerators_from_instance_type_impl(_df, instance_type) diff --git a/sky/clouds/service_catalog/vsphere_catalog.py b/sky/clouds/service_catalog/vsphere_catalog.py index e1199d3d266..74fb2fbe60d 100644 --- a/sky/clouds/service_catalog/vsphere_catalog.py +++ b/sky/clouds/service_catalog/vsphere_catalog.py @@ -2,7 +2,7 @@ import io import os import typing -from typing import Dict, List, Optional, Tuple +from typing import Dict, List, Optional, Tuple, Union from sky.adaptors import common as adaptors_common from sky.clouds.service_catalog import common @@ -85,7 +85,7 @@ def get_default_instance_type( def get_accelerators_from_instance_type( - instance_type: str) -> Optional[Dict[str, int]]: + instance_type: str) -> Optional[Dict[str, Union[int, float]]]: return common.get_accelerators_from_instance_type_impl( _get_df(), instance_type) diff --git a/sky/clouds/vsphere.py b/sky/clouds/vsphere.py index 7cf56b46a8d..88d5df3232a 100644 --- a/sky/clouds/vsphere.py +++ b/sky/clouds/vsphere.py @@ -1,8 +1,7 @@ """Vsphere cloud implementation.""" -import json import subprocess import typing -from typing import Dict, Iterator, List, Optional, Tuple +from typing import Dict, Iterator, List, Optional, Tuple, Union import requests @@ -152,7 +151,7 @@ def get_default_instance_type( def get_accelerators_from_instance_type( cls, instance_type: str, - ) -> Optional[Dict[str, int]]: + ) -> Optional[Dict[str, Union[int, float]]]: return service_catalog.get_accelerators_from_instance_type( instance_type, clouds=_CLOUD_VSPHERE) @@ -182,10 +181,8 @@ def make_deploy_resources_variables( zone_names = [zone.name for zone in zones] r = resources acc_dict = self.get_accelerators_from_instance_type(r.instance_type) - if acc_dict is not None: - custom_resources = json.dumps(acc_dict, separators=(',', ':')) - else: - custom_resources = None + custom_resources = resources_utils.make_ray_custom_resources_str( + acc_dict) return { 'instance_type': resources.instance_type, diff --git a/sky/resources.py b/sky/resources.py index 540cbfb703c..164ef312ba1 100644 --- a/sky/resources.py +++ b/sky/resources.py @@ -392,7 +392,7 @@ def memory(self) -> Optional[str]: @property @functools.lru_cache(maxsize=1) - def accelerators(self) -> Optional[Dict[str, int]]: + def accelerators(self) -> Optional[Dict[str, Union[int, float]]]: """Returns the accelerators field directly or by inferring. For example, Resources(AWS, 'p3.2xlarge') has its accelerators field diff --git a/sky/utils/resources_utils.py b/sky/utils/resources_utils.py index 72aa5ac05d3..653bb109ac0 100644 --- a/sky/utils/resources_utils.py +++ b/sky/utils/resources_utils.py @@ -2,9 +2,11 @@ import dataclasses import enum import itertools +import json +import math import re import typing -from typing import List, Optional, Set +from typing import Dict, List, Optional, Set, Union from sky import skypilot_config from sky.clouds import cloud_registry @@ -163,6 +165,16 @@ def get_readable_resources_repr(handle: 'backends.CloudVmRayResourceHandle', return _DEFAULT_MESSAGE_HANDLE_INITIALIZING +def make_ray_custom_resources_str( + resource_dict: Optional[Dict[str, Union[int, float]]]) -> Optional[str]: + """Convert resources to Ray custom resources format.""" + if resource_dict is None: + return None + # Ray does not allow fractional resources, so we need to ceil the values. + ceiled_dict = {k: math.ceil(v) for k, v in resource_dict.items()} + return json.dumps(ceiled_dict, separators=(',', ':')) + + @dataclasses.dataclass class FeasibleResources: """Feasible resources returned by cloud. From c0c17483d1f692ad639144050f5f6fa0966e47a5 Mon Sep 17 00:00:00 2001 From: Andy Lee Date: Sat, 26 Oct 2024 16:30:52 -0700 Subject: [PATCH 012/152] [Jobs] Refactor: Extract task failure state update helper (#4185) refactor: a unified exception handling utility --- sky/jobs/controller.py | 61 +++++++++++++++++++----------------------- 1 file changed, 28 insertions(+), 33 deletions(-) diff --git a/sky/jobs/controller.py b/sky/jobs/controller.py index 1faa5dfbe31..73d509be9ef 100644 --- a/sky/jobs/controller.py +++ b/sky/jobs/controller.py @@ -340,48 +340,28 @@ def run(self): common_utils.format_exception(reason, use_bracket=True) for reason in e.reasons)) logger.error(failure_reason) - managed_job_state.set_failed( - self._job_id, - task_id=task_id, - failure_type=managed_job_state.ManagedJobStatus. - FAILED_PRECHECKS, - failure_reason=failure_reason, - callback_func=managed_job_utils.event_callback_func( - job_id=self._job_id, - task_id=task_id, - task=self._dag.tasks[task_id])) + self._update_failed_task_state( + task_id, managed_job_state.ManagedJobStatus.FAILED_PRECHECKS, + failure_reason) except exceptions.ManagedJobReachedMaxRetriesError as e: # Please refer to the docstring of self._run for the cases when # this exception can occur. - logger.error(common_utils.format_exception(e)) + failure_reason = common_utils.format_exception(e) + logger.error(failure_reason) # The managed job should be marked as FAILED_NO_RESOURCE, as the # managed job may be able to launch next time. - managed_job_state.set_failed( - self._job_id, - task_id=task_id, - failure_type=managed_job_state.ManagedJobStatus. - FAILED_NO_RESOURCE, - failure_reason=common_utils.format_exception(e), - callback_func=managed_job_utils.event_callback_func( - job_id=self._job_id, - task_id=task_id, - task=self._dag.tasks[task_id])) + self._update_failed_task_state( + task_id, managed_job_state.ManagedJobStatus.FAILED_NO_RESOURCE, + failure_reason) except (Exception, SystemExit) as e: # pylint: disable=broad-except with ux_utils.enable_traceback(): logger.error(traceback.format_exc()) - msg = ('Unexpected error occurred: ' - f'{common_utils.format_exception(e, use_bracket=True)}') + msg = ('Unexpected error occurred: ' + + common_utils.format_exception(e, use_bracket=True)) logger.error(msg) - managed_job_state.set_failed( - self._job_id, - task_id=task_id, - failure_type=managed_job_state.ManagedJobStatus. - FAILED_CONTROLLER, - failure_reason=msg, - callback_func=managed_job_utils.event_callback_func( - job_id=self._job_id, - task_id=task_id, - task=self._dag.tasks[task_id])) + self._update_failed_task_state( + task_id, managed_job_state.ManagedJobStatus.FAILED_CONTROLLER, + msg) finally: # This will set all unfinished tasks to CANCELLING, and will not # affect the jobs in terminal states. @@ -396,6 +376,21 @@ def run(self): managed_job_state.set_cancelled(job_id=self._job_id, callback_func=callback_func) + def _update_failed_task_state( + self, task_id: int, + failure_type: managed_job_state.ManagedJobStatus, + failure_reason: str): + """Update the state of the failed task.""" + managed_job_state.set_failed( + self._job_id, + task_id=task_id, + failure_type=failure_type, + failure_reason=failure_reason, + callback_func=managed_job_utils.event_callback_func( + job_id=self._job_id, + task_id=task_id, + task=self._dag.tasks[task_id])) + def _run_controller(job_id: int, dag_yaml: str, retry_until_up: bool): """Runs the controller in a remote process for interruption.""" From 546cb17e870e571f984631313be23f197fc4b7fd Mon Sep 17 00:00:00 2001 From: Tian Xia Date: Mon, 28 Oct 2024 13:06:31 -0700 Subject: [PATCH 013/152] [Core] Remove backward compatibility code for 0.6.0 & 0.7.0 (#4175) * [Core] Remove backward compatibility code for 0.6.0 * remove backwards compatibility for 0.7.0 release * Update sky/serve/serve_state.py Co-authored-by: Romil Bhardwaj * remove more * Revert "remove more" This reverts commit 34c28e93a083c7f4d02e9d8a8685a6d61d358e84. * remove more but not instance tags --------- Co-authored-by: Christopher Cooper Co-authored-by: Romil Bhardwaj --- sky/backends/backend_utils.py | 143 ++------------------------- sky/backends/cloud_vm_ray_backend.py | 103 +------------------ sky/provision/gcp/instance.py | 7 -- sky/serve/core.py | 2 - sky/serve/serve_state.py | 10 +- sky/serve/serve_utils.py | 16 +-- sky/serve/service_spec.py | 28 ------ sky/skylet/job_lib.py | 14 +-- sky/skylet/log_lib.py | 19 +--- sky/utils/schemas.py | 15 +-- tests/test_jobs_and_serve.py | 1 - 11 files changed, 28 insertions(+), 330 deletions(-) diff --git a/sky/backends/backend_utils.py b/sky/backends/backend_utils.py index caa6c9292d5..da1e68991a4 100644 --- a/sky/backends/backend_utils.py +++ b/sky/backends/backend_utils.py @@ -401,6 +401,8 @@ class SSHConfigHelper(object): ssh_conf_path = '~/.ssh/config' ssh_conf_lock_path = os.path.expanduser('~/.sky/ssh_config.lock') + ssh_conf_per_cluster_lock_path = os.path.expanduser( + '~/.sky/ssh_config_{}.lock') ssh_cluster_path = SKY_USER_FILE_PATH + '/ssh/{}' @classmethod @@ -486,12 +488,6 @@ def add_cluster( config_path = os.path.expanduser(cls.ssh_conf_path) - # For backward compatibility: before #2706, we wrote the config of SkyPilot clusters - # directly in ~/.ssh/config. For these clusters, we remove the config in ~/.ssh/config - # and write/overwrite the config in ~/.sky/ssh/ instead. - cls._remove_stale_cluster_config_for_backward_compatibility( - cluster_name, ip, auth_config, docker_user) - if not os.path.exists(config_path): config = ['\n'] with open(config_path, @@ -560,139 +556,20 @@ def add_cluster( f.write(codegen) @classmethod - def _remove_stale_cluster_config_for_backward_compatibility( - cls, - cluster_name: str, - ip: str, - auth_config: Dict[str, str], - docker_user: Optional[str] = None, - ): - """Remove authentication information for cluster from local SSH config. - - If no existing host matching the provided specification is found, then - nothing is removed. - - Args: - ip: Head node's IP address. - auth_config: read_yaml(handle.cluster_yaml)['auth'] - docker_user: If not None, use this user to ssh into the docker - """ - username = auth_config['ssh_user'] - config_path = os.path.expanduser(cls.ssh_conf_path) - cluster_config_path = os.path.expanduser( - cls.ssh_cluster_path.format(cluster_name)) - if not os.path.exists(config_path): - return - - with open(config_path, 'r', encoding='utf-8') as f: - config = f.readlines() - - start_line_idx = None - - # Scan the config for the cluster name. - for i, line in enumerate(config): - next_line = config[i + 1] if i + 1 < len(config) else '' - if docker_user is None: - found = (line.strip() == f'HostName {ip}' and - next_line.strip() == f'User {username}') - else: - found = (line.strip() == 'HostName localhost' and - next_line.strip() == f'User {docker_user}') - if found: - # Find the line starting with ProxyCommand and contains the ip - found = False - for idx in range(i, len(config)): - # Stop if we reach an empty line, which means a new host - if not config[idx].strip(): - break - if config[idx].strip().startswith('ProxyCommand'): - proxy_command_line = config[idx].strip() - if proxy_command_line.endswith(f'@{ip}'): - found = True - break - if found: - start_line_idx = i - 1 - break - - if start_line_idx is not None: - # Scan for end of previous config. - cursor = start_line_idx - while cursor > 0 and len(config[cursor].strip()) > 0: - cursor -= 1 - prev_end_line_idx = cursor - - # Scan for end of the cluster config. - end_line_idx = None - cursor = start_line_idx + 1 - start_line_idx -= 1 # remove auto-generated comment - while cursor < len(config): - if config[cursor].strip().startswith( - '# ') or config[cursor].strip().startswith('Host '): - end_line_idx = cursor - break - cursor += 1 - - # Remove sky-generated config and update the file. - config[prev_end_line_idx:end_line_idx] = [ - '\n' - ] if end_line_idx is not None else [] - with open(config_path, 'w', encoding='utf-8') as f: - f.write(''.join(config).strip()) - f.write('\n' * 2) - - # Delete include statement if it exists in the config. - sky_autogen_comment = ('# Added by sky (use `sky stop/down ' - f'{cluster_name}` to remove)') - with open(config_path, 'r', encoding='utf-8') as f: - config = f.readlines() - - for i, line in enumerate(config): - config_str = line.strip() - if f'Include {cluster_config_path}' in config_str: - with open(config_path, 'w', encoding='utf-8') as f: - if i < len(config) - 1 and config[i + 1] == '\n': - del config[i + 1] - # Delete Include string - del config[i] - # Delete Sky Autogen Comment - if i > 0 and sky_autogen_comment in config[i - 1].strip(): - del config[i - 1] - f.write(''.join(config)) - break - if 'Host' in config_str: - break - - @classmethod - # TODO: We can remove this after 0.6.0 and have a lock only per cluster. - @timeline.FileLockEvent(ssh_conf_lock_path) - def remove_cluster( - cls, - cluster_name: str, - ip: str, - auth_config: Dict[str, str], - docker_user: Optional[str] = None, - ): + def remove_cluster(cls, cluster_name: str): """Remove authentication information for cluster from ~/.sky/ssh/. - For backward compatibility also remove the config from ~/.ssh/config if it exists. - If no existing host matching the provided specification is found, then nothing is removed. Args: - ip: Head node's IP address. - auth_config: read_yaml(handle.cluster_yaml)['auth'] - docker_user: If not None, use this user to ssh into the docker + cluster_name: Cluster name. """ - cluster_config_path = os.path.expanduser( - cls.ssh_cluster_path.format(cluster_name)) - common_utils.remove_file_if_exists(cluster_config_path) - - # Ensures backward compatibility: before #2706, we wrote the config of SkyPilot clusters - # directly in ~/.ssh/config. For these clusters, we should clean up the config. - # TODO: Remove this after 0.6.0 - cls._remove_stale_cluster_config_for_backward_compatibility( - cluster_name, ip, auth_config, docker_user) + with timeline.FileLockEvent( + cls.ssh_conf_per_cluster_lock_path.format(cluster_name)): + cluster_config_path = os.path.expanduser( + cls.ssh_cluster_path.format(cluster_name)) + common_utils.remove_file_if_exists(cluster_config_path) def _replace_yaml_dicts( @@ -867,7 +744,7 @@ def write_cluster_config( labels = skypilot_config.get_nested((str(cloud).lower(), 'labels'), {}) # Deprecated: instance_tags have been replaced by labels. For backward # compatibility, we support them and the schema allows them only if - # `labels` are not specified. This should be removed after 0.7.0. + # `labels` are not specified. This should be removed after 0.8.0. labels = skypilot_config.get_nested((str(cloud).lower(), 'instance_tags'), labels) # labels is a dict, which is guaranteed by the type check in diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index 918848b045b..d0a642d4d80 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -2118,13 +2118,8 @@ def __init__( stable_internal_external_ips: Optional[List[Tuple[str, str]]] = None, stable_ssh_ports: Optional[List[int]] = None, - cluster_info: Optional[provision_common.ClusterInfo] = None, - # The following 2 fields are deprecated. SkyPilot new provisioner - # API handles the TPU node creation/deletion. - # Backward compatibility for TPU nodes created before #2943. - # TODO (zhwu): Remove this after 0.6.0. - tpu_create_script: Optional[str] = None, - tpu_delete_script: Optional[str] = None) -> None: + cluster_info: Optional[provision_common.ClusterInfo] = None + ) -> None: self._version = self._VERSION self.cluster_name = cluster_name self.cluster_name_on_cloud = cluster_name_on_cloud @@ -2139,12 +2134,6 @@ def __init__( self.launched_nodes = launched_nodes self.launched_resources = launched_resources self.docker_user: Optional[str] = None - # Deprecated. SkyPilot new provisioner API handles the TPU node - # creation/deletion. - # Backward compatibility for TPU nodes created before #2943. - # TODO (zhwu): Remove this after 0.6.0. - self.tpu_create_script = tpu_create_script - self.tpu_delete_script = tpu_delete_script def __repr__(self): return (f'ResourceHandle(' @@ -2160,10 +2149,7 @@ def __repr__(self): f'\n\tlaunched_resources={self.launched_nodes}x ' f'{self.launched_resources}, ' f'\n\tdocker_user={self.docker_user},' - f'\n\tssh_user={self.ssh_user},' - # TODO (zhwu): Remove this after 0.6.0. - f'\n\ttpu_create_script={self.tpu_create_script}, ' - f'\n\ttpu_delete_script={self.tpu_delete_script})') + f'\n\tssh_user={self.ssh_user}') def get_cluster_name(self): return self.cluster_name @@ -2176,26 +2162,6 @@ def _use_internal_ips(self): return common_utils.read_yaml(self.cluster_yaml).get( 'provider', {}).get('use_internal_ips', False) - def _update_cluster_region(self): - """Update the region in handle.launched_resources. - - This is for backward compatibility to handle the clusters launched - long before. We should remove this after 0.6.0. - """ - if self.launched_resources.region is not None: - return - - config = common_utils.read_yaml(self.cluster_yaml) - provider = config['provider'] - cloud = self.launched_resources.cloud - if cloud.is_same_cloud(clouds.Azure()): - region = provider['location'] - elif cloud.is_same_cloud(clouds.GCP()) or cloud.is_same_cloud( - clouds.AWS()): - region = provider['region'] - - self.launched_resources = self.launched_resources.copy(region=region) - def update_ssh_ports(self, max_attempts: int = 1) -> None: """Fetches and sets the SSH ports for the cluster nodes. @@ -2567,8 +2533,6 @@ def __setstate__(self, state): if version < 4: self.update_ssh_ports() - self._update_cluster_region() - if version < 8: try: self._update_cluster_info() @@ -2649,8 +2613,6 @@ def check_resources_fit_cluster( if record is not None: usage_lib.messages.usage.update_cluster_status(record['status']) - # Backward compatibility: the old launched_resources without region info - # was handled by ResourceHandle._update_cluster_region. assert launched_resources.region is not None, handle mismatch_str = (f'To fix: specify a new cluster name, or down the ' @@ -4096,55 +4058,9 @@ def post_teardown_cleanup(self, * Removing ssh configs for the cluster; * Updating the local state of the cluster; * Removing the terminated cluster's scripts and ray yaml files. - - Raises: - RuntimeError: If it fails to delete the TPU. """ - log_path = os.path.join(os.path.expanduser(self.log_dir), - 'teardown.log') - log_abs_path = os.path.abspath(log_path) cluster_name_on_cloud = handle.cluster_name_on_cloud - # Backward compatibility for TPU nodes created before #2943. Any TPU - # node launched before that PR have the delete script generated (and do - # not have the tpu_node config set in its cluster yaml), so we have to - # call the deletion script to clean up the TPU node. - # For TPU nodes launched after the PR, deletion is done in SkyPilot's - # new GCP provisioner API. - # TODO (zhwu): Remove this after 0.6.0. - if (handle.tpu_delete_script is not None and - os.path.exists(handle.tpu_delete_script)): - # Only call the deletion script if the cluster config does not - # contain TPU node config. Otherwise, the deletion should - # already be handled by the new provisioner. - config = common_utils.read_yaml(handle.cluster_yaml) - tpu_node_config = config['provider'].get('tpu_node') - if tpu_node_config is None: - with rich_utils.safe_status( - ux_utils.spinner_message('Terminating TPU')): - tpu_rc, tpu_stdout, tpu_stderr = log_lib.run_with_log( - ['bash', handle.tpu_delete_script], - log_abs_path, - stream_logs=False, - require_outputs=True) - if tpu_rc != 0: - if _TPU_NOT_FOUND_ERROR in tpu_stderr: - logger.info('TPU not found. ' - 'It should have been deleted already.') - elif purge: - logger.warning( - _TEARDOWN_PURGE_WARNING.format( - reason='stopping/terminating TPU', - details=tpu_stderr)) - else: - raise RuntimeError( - _TEARDOWN_FAILURE_MESSAGE.format( - extra_reason='It is caused by TPU failure.', - cluster_name=common_utils.cluster_name_in_hint( - handle.cluster_name, cluster_name_on_cloud), - stdout=tpu_stdout, - stderr=tpu_stderr)) - if (terminate and handle.launched_resources.is_image_managed is True): # Delete the image when terminating a "cloned" cluster, i.e., # whose image is created by SkyPilot (--clone-disk-from) @@ -4189,11 +4105,7 @@ def post_teardown_cleanup(self, # The cluster file must exist because the cluster_yaml will only # be removed after the cluster entry in the database is removed. config = common_utils.read_yaml(handle.cluster_yaml) - auth_config = config['auth'] - backend_utils.SSHConfigHelper.remove_cluster(handle.cluster_name, - handle.head_ip, - auth_config, - handle.docker_user) + backend_utils.SSHConfigHelper.remove_cluster(handle.cluster_name) global_user_state.remove_cluster(handle.cluster_name, terminate=terminate) @@ -4202,13 +4114,6 @@ def post_teardown_cleanup(self, # This function could be directly called from status refresh, # where we need to cleanup the cluster profile. metadata_utils.remove_cluster_metadata(handle.cluster_name) - # Clean up TPU creation/deletion scripts - # Backward compatibility for TPU nodes created before #2943. - # TODO (zhwu): Remove this after 0.6.0. - if handle.tpu_delete_script is not None: - assert handle.tpu_create_script is not None - common_utils.remove_file_if_exists(handle.tpu_create_script) - common_utils.remove_file_if_exists(handle.tpu_delete_script) # Clean up generated config # No try-except is needed since Ray will fail to teardown the diff --git a/sky/provision/gcp/instance.py b/sky/provision/gcp/instance.py index 21d04075f59..9872ad73dc7 100644 --- a/sky/provision/gcp/instance.py +++ b/sky/provision/gcp/instance.py @@ -632,13 +632,6 @@ def cleanup_ports( del ports # Unused. assert provider_config is not None, cluster_name_on_cloud project_id = provider_config['project_id'] - if 'ports' in provider_config: - # Backward compatibility for old provider config. - # TODO(tian): remove this after 2 minor releases, 0.6.0. - for port in provider_config['ports']: - firewall_rule_name = f'user-ports-{cluster_name_on_cloud}-{port}' - instance_utils.GCPComputeInstance.delete_firewall_rule( - project_id, firewall_rule_name) if 'firewall_rule' in provider_config: firewall_rule_name = provider_config['firewall_rule'] instance_utils.GCPComputeInstance.delete_firewall_rule( diff --git a/sky/serve/core.py b/sky/serve/core.py index 691a3edea0b..ea8f380a2e7 100644 --- a/sky/serve/core.py +++ b/sky/serve/core.py @@ -572,8 +572,6 @@ def status( 'controller_port': (Optional[int]) controller port, 'load_balancer_port': (Optional[int]) load balancer port, 'policy': (Optional[str]) load balancer policy description, - 'requested_resources': (sky.Resources) requested resources - for replica (deprecated), 'requested_resources_str': (str) str representation of requested resources, 'replica_info': (List[Dict[str, Any]]) replica information, diff --git a/sky/serve/serve_state.py b/sky/serve/serve_state.py index cbc8ef3d8cc..333e0138fb4 100644 --- a/sky/serve/serve_state.py +++ b/sky/serve/serve_state.py @@ -34,7 +34,7 @@ def _get_db_path() -> str: def create_table(cursor: 'sqlite3.Cursor', conn: 'sqlite3.Connection') -> None: """Creates the service and replica tables if they do not exist.""" - # auto_restart column is deprecated. + # auto_restart and requested_resources column is deprecated. cursor.execute("""\ CREATE TABLE IF NOT EXISTS services ( name TEXT PRIMARY KEY, @@ -323,8 +323,8 @@ def set_service_load_balancer_port(service_name: str, def _get_service_from_row(row) -> Dict[str, Any]: (current_version, name, controller_job_id, controller_port, - load_balancer_port, status, uptime, policy, _, requested_resources, - requested_resources_str, _, active_versions) = row[:13] + load_balancer_port, status, uptime, policy, _, _, requested_resources_str, + _, active_versions) = row[:13] return { 'name': name, 'controller_job_id': controller_job_id, @@ -340,10 +340,6 @@ def _get_service_from_row(row) -> Dict[str, Any]: # The versions that is active for the load balancer. This is a list of # integers in json format. This is mainly for display purpose. 'active_versions': json.loads(active_versions), - # TODO(tian): Backward compatibility. - # Remove after 2 minor release, 0.6.0. - 'requested_resources': pickle.loads(requested_resources) - if requested_resources is not None else None, 'requested_resources_str': requested_resources_str, } diff --git a/sky/serve/serve_utils.py b/sky/serve/serve_utils.py index 3a416dd2932..6e7b6f6eb4a 100644 --- a/sky/serve/serve_utils.py +++ b/sky/serve/serve_utils.py @@ -825,12 +825,7 @@ def format_service_table(service_records: List[Dict[str, Any]], replicas = _get_replicas(record) endpoint = get_endpoint(record) policy = record['policy'] - # TODO(tian): Backward compatibility. - # Remove `requested_resources` field after 2 minor release, 0.6.0. - if record.get('requested_resources_str') is None: - requested_resources_str = str(record['requested_resources']) - else: - requested_resources_str = record['requested_resources_str'] + requested_resources_str = record['requested_resources_str'] service_values = [ service_name, @@ -1004,15 +999,8 @@ def _build(cls, code: List[str]) -> str: @classmethod def update_service(cls, service_name: str, version: int, mode: str) -> str: code = [ - # Backward compatibility for old serve version on the remote - # machine. The `mode` argument was added in #3249, and if the remote - # machine has an old SkyPilot version before that, we need to avoid - # passing the `mode` argument to the job_lib functions. - # TODO(zhwu): Remove this in 0.7.0 release. - f'mode_kwargs = {{"mode": {mode!r}}} ' - 'if getattr(constants, "SERVE_VERSION", 0) >= 1 else {}', f'msg = serve_utils.update_service_encoded({service_name!r}, ' - f'{version}, **mode_kwargs)', + f'{version}, mode={mode!r})', 'print(msg, end="", flush=True)', ] return cls._build(code) diff --git a/sky/serve/service_spec.py b/sky/serve/service_spec.py index 3a97a6f8521..2eff6f40a9d 100644 --- a/sky/serve/service_spec.py +++ b/sky/serve/service_spec.py @@ -29,13 +29,6 @@ def __init__( base_ondemand_fallback_replicas: Optional[int] = None, upscale_delay_seconds: Optional[int] = None, downscale_delay_seconds: Optional[int] = None, - # The following arguments are deprecated. - # TODO(ziming): remove this after 2 minor release, i.e. 0.6.0. - # Deprecated: Always be True - auto_restart: Optional[bool] = None, - # Deprecated: replaced by the target_qps_per_replica. - qps_upper_threshold: Optional[float] = None, - qps_lower_threshold: Optional[float] = None, ) -> None: if max_replicas is not None and max_replicas < min_replicas: with ux_utils.print_exception_no_traceback(): @@ -62,21 +55,6 @@ def __init__( raise ValueError('readiness_path must start with a slash (/). ' f'Got: {readiness_path}') - # TODO(tian): Following field are deprecated. Remove after 2 minor - # release, i.e. 0.6.0. - if qps_upper_threshold is not None or qps_lower_threshold is not None: - with ux_utils.print_exception_no_traceback(): - raise ValueError( - 'Field `qps_upper_threshold` and `qps_lower_threshold`' - 'under `replica_policy` are deprecated. ' - 'Please use target_qps_per_replica instead.') - if auto_restart is not None: - with ux_utils.print_exception_no_traceback(): - raise ValueError( - 'Field `auto_restart` under `replica_policy` is deprecated.' - 'Currently, SkyServe will cleanup failed replicas' - 'and auto restart it to keep the service running.') - self._readiness_path: str = readiness_path self._initial_delay_seconds: int = initial_delay_seconds self._readiness_timeout_seconds: int = readiness_timeout_seconds @@ -160,14 +138,8 @@ def from_yaml_config(config: Dict[str, Any]) -> 'SkyServiceSpec': service_config['min_replicas'] = policy_section['min_replicas'] service_config['max_replicas'] = policy_section.get( 'max_replicas', None) - service_config['qps_upper_threshold'] = policy_section.get( - 'qps_upper_threshold', None) - service_config['qps_lower_threshold'] = policy_section.get( - 'qps_lower_threshold', None) service_config['target_qps_per_replica'] = policy_section.get( 'target_qps_per_replica', None) - service_config['auto_restart'] = policy_section.get( - 'auto_restart', None) service_config['upscale_delay_seconds'] = policy_section.get( 'upscale_delay_seconds', None) service_config['downscale_delay_seconds'] = policy_section.get( diff --git a/sky/skylet/job_lib.py b/sky/skylet/job_lib.py index 5e7008e55d8..17908a1aec5 100644 --- a/sky/skylet/job_lib.py +++ b/sky/skylet/job_lib.py @@ -827,14 +827,6 @@ class JobLibCodeGen: 'import os', 'import getpass', 'from sky.skylet import job_lib, log_lib, constants', - # Backward compatibility for old skylet lib version on the remote - # machine. The `job_owner` argument was removed in #3037, and if the - # remote machine has an old SkyPilot version before that, we need to - # pass the `job_owner` argument to the job_lib functions. - # TODO(zhwu): Remove this in 0.7.0 release. - 'job_owner_kwargs = {} ' - 'if getattr(constants, "SKYLET_LIB_VERSION", 0) >= 1 ' - 'else {"job_owner": getpass.getuser()}', ] @classmethod @@ -861,7 +853,7 @@ def queue_job(cls, job_id: int, cmd: str) -> str: @classmethod def update_status(cls) -> str: - code = ['job_lib.update_status(**job_owner_kwargs)'] + code = ['job_lib.update_status()'] return cls._build(code) @classmethod @@ -879,7 +871,7 @@ def cancel_jobs(cls, """See job_lib.cancel_jobs().""" code = [ (f'cancelled = job_lib.cancel_jobs_encoded_results(' - f' {job_ids!r}, {cancel_all}, **job_owner_kwargs)'), + f' {job_ids!r}, {cancel_all})'), # Print cancelled IDs. Caller should parse by decoding. 'print(cancelled, flush=True)', ] @@ -902,7 +894,7 @@ def tail_logs(cls, 'run_timestamp = job_lib.get_run_timestamp(job_id)', f'log_dir = None if run_timestamp is None else os.path.join({constants.SKY_LOGS_DIRECTORY!r}, run_timestamp)', f'log_lib.tail_logs(job_id=job_id, log_dir=log_dir, ' - f'managed_job_id={managed_job_id!r}, follow={follow}, **job_owner_kwargs)', + f'managed_job_id={managed_job_id!r}, follow={follow})', ] return cls._build(code) diff --git a/sky/skylet/log_lib.py b/sky/skylet/log_lib.py index 9f1483b2b48..eb64440077e 100644 --- a/sky/skylet/log_lib.py +++ b/sky/skylet/log_lib.py @@ -186,20 +186,11 @@ def run_with_log( daemon_script = os.path.join( os.path.dirname(os.path.abspath(job_lib.__file__)), 'subprocess_daemon.py') - if not hasattr(constants, 'SKY_GET_PYTHON_PATH_CMD'): - # Backward compatibility: for cluster started before #3326, this - # constant does not exist. Since we generate the job script - # in backends.cloud_vm_ray_backend with inspect, so the - # the lates `run_with_log` will be used, but the `constants` is - # not updated. We fallback to `python3` in this case. - # TODO(zhwu): remove this after 0.7.0. - python_path = 'python3' - else: - python_path = subprocess.check_output( - constants.SKY_GET_PYTHON_PATH_CMD, - shell=True, - stderr=subprocess.DEVNULL, - encoding='utf-8').strip() + python_path = subprocess.check_output( + constants.SKY_GET_PYTHON_PATH_CMD, + shell=True, + stderr=subprocess.DEVNULL, + encoding='utf-8').strip() daemon_cmd = [ python_path, daemon_script, diff --git a/sky/utils/schemas.py b/sky/utils/schemas.py index 94a6ed690e1..d9f105db8b0 100644 --- a/sky/utils/schemas.py +++ b/sky/utils/schemas.py @@ -357,19 +357,6 @@ def get_service_schema(): 'downscale_delay_seconds': { 'type': 'number', }, - # TODO(MaoZiming): Fields `qps_upper_threshold`, - # `qps_lower_threshold` and `auto_restart` are deprecated. - # Temporarily keep these fields for backward compatibility. - # Remove after 2 minor release, i.e., 0.6.0. - 'auto_restart': { - 'type': 'boolean', - }, - 'qps_upper_threshold': { - 'type': 'number', - }, - 'qps_lower_threshold': { - 'type': 'number', - }, } }, 'replicas': { @@ -595,7 +582,7 @@ def get_cluster_schema(): _LABELS_SCHEMA = { # Deprecated: 'instance_tags' is replaced by 'labels'. Keeping for backward - # compatibility. Will be removed after 0.7.0. + # compatibility. Will be removed after 0.8.0. 'instance_tags': { 'type': 'object', 'required': [], diff --git a/tests/test_jobs_and_serve.py b/tests/test_jobs_and_serve.py index a599fb7ba88..237ffd440da 100644 --- a/tests/test_jobs_and_serve.py +++ b/tests/test_jobs_and_serve.py @@ -307,7 +307,6 @@ def mock_get_services_one_service( 'controller_port': 30001, 'load_balancer_port': 30000, 'policy': None, - 'requested_resources': sky.Resources(), 'requested_resources_str': '', 'replica_info': [], } From 6b2b552e7ed98fab3f7ab6469ddcb1292798e264 Mon Sep 17 00:00:00 2001 From: Andy Lee Date: Mon, 28 Oct 2024 14:02:25 -0700 Subject: [PATCH 014/152] Remove outdated pylint disabling comments (#4196) Update cloud_vm_ray_backend.py --- sky/backends/cloud_vm_ray_backend.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index d0a642d4d80..4087dab1240 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -3547,9 +3547,6 @@ def _teardown(self, backend_utils.CLUSTER_STATUS_LOCK_PATH.format(cluster_name)) try: - # TODO(mraheja): remove pylint disabling when filelock - # version updated - # pylint: disable=abstract-class-instantiated with filelock.FileLock( lock_path, backend_utils.CLUSTER_STATUS_LOCK_TIMEOUT_SECONDS): From d3be8ed56adfb5efb9789790bec28616d446c239 Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Mon, 28 Oct 2024 14:02:30 -0700 Subject: [PATCH 015/152] [test] update default clouds for smoke tests (#4182) --- tests/conftest.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/tests/conftest.py b/tests/conftest.py index b4e025a8f2d..bb79abfe61e 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -8,7 +8,7 @@ # to mark a test as slow and to skip by default. # https://docs.pytest.org/en/latest/example/simple.html#control-skipping-of-tests-according-to-command-line-option -# By default, only run generic tests and cloud-specific tests for GCP and Azure, +# By default, only run generic tests and cloud-specific tests for AWS and Azure, # due to the cloud credit limit for the development account. # # A "generic test" tests a generic functionality (e.g., autostop) that @@ -24,7 +24,7 @@ 'aws', 'gcp', 'azure', 'lambda', 'cloudflare', 'ibm', 'scp', 'oci', 'kubernetes', 'vsphere', 'cudo', 'fluidstack', 'paperspace' ] -default_clouds_to_run = ['gcp', 'azure'] +default_clouds_to_run = ['aws', 'azure'] # Translate cloud name to pytest keyword. We need this because # @pytest.mark.lambda is not allowed, so we use @pytest.mark.lambda_cloud @@ -72,7 +72,7 @@ def pytest_addoption(parser): parser.addoption( '--generic-cloud', type=str, - default='gcp', + default='aws', choices=all_clouds_in_smoke_tests, help='Cloud to use for generic tests. If the generic cloud is ' 'not within the clouds to be run, it will be reset to the first ' @@ -138,8 +138,8 @@ def pytest_collection_modifyitems(config, items): for cloud in all_clouds_in_smoke_tests: cloud_keyword = cloud_to_pytest_keyword[cloud] if (cloud_keyword in item.keywords and cloud not in cloud_to_run): - # Need to check both conditions as 'gcp' is added to cloud_to_run - # when tested for cloudflare + # Need to check both conditions as the first default cloud is + # added to cloud_to_run when tested for cloudflare if config.getoption('--cloudflare') and cloud == 'cloudflare': continue item.add_marker(skip_marks[cloud]) From 1a6e2f60a5e2b60205dfdd2c0d1eb233cd6abfab Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Mon, 28 Oct 2024 20:54:32 -0700 Subject: [PATCH 016/152] [k8s] Show all kubernetes clusters in optimizer table (#4013) * Show all kubernetes clusters in optimizer table * format * Add comment --- sky/optimizer.py | 18 +++++++++++------- 1 file changed, 11 insertions(+), 7 deletions(-) diff --git a/sky/optimizer.py b/sky/optimizer.py index bcab7836ee9..0f931e15079 100644 --- a/sky/optimizer.py +++ b/sky/optimizer.py @@ -831,13 +831,17 @@ def format_number(x): return row def _get_resource_group_hash(resources: 'resources_lib.Resources'): - return json.dumps( - { - 'cloud': f'{resources.cloud}', - 'accelerators': f'{resources.accelerators}', - 'use_spot': resources.use_spot - }, - sort_keys=True) + resource_key_dict = { + 'cloud': f'{resources.cloud}', + 'accelerators': f'{resources.accelerators}', + 'use_spot': resources.use_spot + } + if isinstance(resources.cloud, clouds.Kubernetes): + # Region for Kubernetes is the context name, i.e. different + # Kubernetes clusters. We add region to the key to show all the + # Kubernetes clusters in the optimizer table for better UX. + resource_key_dict['region'] = resources.region + return json.dumps(resource_key_dict, sort_keys=True) # Print the list of resouces that the optimizer considered. resource_fields = [ From 47ebae73e972c65de6e87aa7556220e515f2fc5e Mon Sep 17 00:00:00 2001 From: landscapepainter <34902420+landscapepainter@users.noreply.github.com> Date: Mon, 28 Oct 2024 22:25:35 -0700 Subject: [PATCH 017/152] [Azure] Allow resource group specifiation for Azure instance provisioning (#3764) * Allow resource group specifiation for Azure instance provisioning * Add 'use_external_resource_group' under provider config * nit * attached resources deletion * support deployment removal when terminating * nit * delete RoleAssignment when terminating * update ARM config template * nit * nit * delete role assignment with guid * update role assignment removal logic * Separate resource group region and VM, attached resources * nit * nit * nit * nit * add error handling for deletion * format * deployment naming update * test * nit * update deployment constant names * update open_ports to wait for the nsg creation corresponding to the VM being provisioned * format * nit * format * update docstring * add back deleted snippet * format * delete nic with retries * error handle update --- sky/adaptors/azure.py | 3 + sky/clouds/azure.py | 11 +- .../azure/azure-config-template.json | 8 +- sky/provision/azure/config.py | 110 +++--- sky/provision/azure/instance.py | 345 ++++++++++++++---- sky/provision/constants.py | 7 + sky/templates/azure-ray.yml.j2 | 1 + sky/utils/schemas.py | 3 + tests/test_smoke.py | 2 +- 9 files changed, 372 insertions(+), 118 deletions(-) diff --git a/sky/adaptors/azure.py b/sky/adaptors/azure.py index 2752129e305..0730b76ec88 100644 --- a/sky/adaptors/azure.py +++ b/sky/adaptors/azure.py @@ -131,6 +131,9 @@ def get_client(name: str, from azure.mgmt import authorization return authorization.AuthorizationManagementClient( credential, subscription_id) + elif name == 'msi': + from azure.mgmt import msi + return msi.ManagedServiceIdentityClient(credential, subscription_id) elif name == 'graph': import msgraph return msgraph.GraphServiceClient(credential) diff --git a/sky/clouds/azure.py b/sky/clouds/azure.py index fc9579d17c0..cc90f273dd9 100644 --- a/sky/clouds/azure.py +++ b/sky/clouds/azure.py @@ -12,6 +12,7 @@ from sky import clouds from sky import exceptions from sky import sky_logging +from sky import skypilot_config from sky.adaptors import azure from sky.clouds import service_catalog from sky.clouds.utils import azure_utils @@ -353,6 +354,13 @@ def make_deploy_resources_variables( need_nvidia_driver_extension = (acc_dict is not None and 'A10' in acc_dict) + # Determine resource group for deploying the instance. + resource_group_name = skypilot_config.get_nested( + ('azure', 'resource_group_vm'), None) + use_external_resource_group = resource_group_name is not None + if resource_group_name is None: + resource_group_name = f'{cluster_name.name_on_cloud}-{region_name}' + # Setup commands to eliminate the banner and restart sshd. # This script will modify /etc/ssh/sshd_config and add a bash script # into .bashrc. The bash script will restart sshd if it has not been @@ -409,7 +417,8 @@ def _failover_disk_tier() -> Optional[resources_utils.DiskTier]: 'disk_tier': Azure._get_disk_type(disk_tier), 'cloud_init_setup_commands': cloud_init_setup_commands, 'azure_subscription_id': self.get_project_id(dryrun), - 'resource_group': f'{cluster_name.name_on_cloud}-{region_name}', + 'resource_group': resource_group_name, + 'use_external_resource_group': use_external_resource_group, } # Setting disk performance tier for high disk tier. diff --git a/sky/provision/azure/azure-config-template.json b/sky/provision/azure/azure-config-template.json index c743dd40215..0c70c4d3999 100644 --- a/sky/provision/azure/azure-config-template.json +++ b/sky/provision/azure/azure-config-template.json @@ -14,6 +14,12 @@ "description": "Subnet parameters." } }, + "location": { + "type": "string", + "metadata": { + "description": "Location of where the resources are allocated." + } + }, "nsgName": { "type": "string", "metadata": { @@ -23,7 +29,7 @@ }, "variables": { "contributor": "[subscriptionResourceId('Microsoft.Authorization/roleDefinitions', 'b24988ac-6180-42a0-ab88-20f7382dd24c')]", - "location": "[resourceGroup().location]", + "location": "[parameters('location')]", "msiName": "[concat('sky-', parameters('clusterId'), '-msi')]", "roleAssignmentName": "[concat('sky-', parameters('clusterId'), '-ra')]", "nsgName": "[parameters('nsgName')]", diff --git a/sky/provision/azure/config.py b/sky/provision/azure/config.py index afa94b4adbe..e7ab59daa33 100644 --- a/sky/provision/azure/config.py +++ b/sky/provision/azure/config.py @@ -14,13 +14,12 @@ from sky import sky_logging from sky.adaptors import azure from sky.provision import common +from sky.provision import constants from sky.utils import common_utils logger = sky_logging.init_logger(__name__) UNIQUE_ID_LEN = 4 -_DEPLOYMENT_NAME = 'skypilot-config' -_LEGACY_DEPLOYMENT_NAME = 'ray-config' _RESOURCE_GROUP_WAIT_FOR_DELETION_TIMEOUT = 480 # 8 minutes _CLUSTER_ID = '{cluster_name_on_cloud}-{unique_id}' @@ -82,46 +81,55 @@ def bootstrap_instances( in provider_config), 'Provider config must include location field' params = {'location': provider_config['location']} + assert ('use_external_resource_group' + in provider_config), ('Provider config must include ' + 'use_external_resource_group field') + use_external_resource_group = provider_config['use_external_resource_group'] + if 'tags' in provider_config: params['tags'] = provider_config['tags'] - logger.info(f'Creating/Updating resource group: {resource_group}') - rg_create_or_update = get_azure_sdk_function( - client=resource_client.resource_groups, - function_name='create_or_update') - rg_creation_start = time.time() - retry = 0 - while (time.time() - rg_creation_start < - _RESOURCE_GROUP_WAIT_FOR_DELETION_TIMEOUT): - try: - rg_create_or_update(resource_group_name=resource_group, - parameters=params) - break - except azure.exceptions().ResourceExistsError as e: - if 'ResourceGroupBeingDeleted' in str(e): - if retry % 5 == 0: - logger.info( - f'Azure resource group {resource_group} of a recent ' - f'terminated cluster {cluster_name_on_cloud} is being ' - 'deleted. It can only be provisioned after it is fully ' - 'deleted. Waiting...') - time.sleep(1) - retry += 1 - continue - raise - except azure.exceptions().ClientAuthenticationError as e: + # When resource group is user specified, it already exists in certain + # region. + if not use_external_resource_group: + logger.info(f'Creating/Updating resource group: {resource_group}') + rg_create_or_update = get_azure_sdk_function( + client=resource_client.resource_groups, + function_name='create_or_update') + rg_creation_start = time.time() + retry = 0 + while (time.time() - rg_creation_start < + _RESOURCE_GROUP_WAIT_FOR_DELETION_TIMEOUT): + try: + rg_create_or_update(resource_group_name=resource_group, + parameters=params) + break + except azure.exceptions().ResourceExistsError as e: + if 'ResourceGroupBeingDeleted' in str(e): + if retry % 5 == 0: + logger.info( + f'Azure resource group {resource_group} of a ' + 'recent terminated cluster ' + f'{cluster_name_on_cloud} is being deleted. It can' + ' only be provisioned after it is fully deleted. ' + 'Waiting...') + time.sleep(1) + retry += 1 + continue + raise + except azure.exceptions().ClientAuthenticationError as e: + message = ( + 'Failed to authenticate with Azure. Please check your ' + 'Azure credentials. Error: ' + f'{common_utils.format_exception(e)}').replace('\n', ' ') + logger.error(message) + raise exceptions.NoClusterLaunchedError(message) from e + else: message = ( - 'Failed to authenticate with Azure. Please check your Azure ' - f'credentials. Error: {common_utils.format_exception(e)}' - ).replace('\n', ' ') + f'Timed out waiting for resource group {resource_group} to be ' + 'deleted.') logger.error(message) - raise exceptions.NoClusterLaunchedError(message) from e - else: - message = ( - f'Timed out waiting for resource group {resource_group} to be ' - 'deleted.') - logger.error(message) - raise TimeoutError(message) + raise TimeoutError(message) # load the template file current_path = Path(__file__).parent @@ -155,6 +163,9 @@ def bootstrap_instances( 'nsgName': { 'value': nsg_name }, + 'location': { + 'value': params['location'] + } }, } } @@ -164,11 +175,22 @@ def bootstrap_instances( get_deployment = get_azure_sdk_function(client=resource_client.deployments, function_name='get') deployment_exists = False - for deployment_name in [_DEPLOYMENT_NAME, _LEGACY_DEPLOYMENT_NAME]: + if use_external_resource_group: + deployment_name = ( + constants.EXTERNAL_RG_BOOTSTRAP_DEPLOYMENT_NAME.format( + cluster_name_on_cloud=cluster_name_on_cloud)) + deployment_list = [deployment_name] + else: + deployment_name = constants.DEPLOYMENT_NAME + deployment_list = [ + constants.DEPLOYMENT_NAME, constants.LEGACY_DEPLOYMENT_NAME + ] + + for deploy_name in deployment_list: try: deployment = get_deployment(resource_group_name=resource_group, - deployment_name=deployment_name) - logger.info(f'Deployment {deployment_name!r} already exists. ' + deployment_name=deploy_name) + logger.info(f'Deployment {deploy_name!r} already exists. ' 'Skipping deployment creation.') outputs = deployment.properties.outputs @@ -179,22 +201,20 @@ def bootstrap_instances( deployment_exists = False if not deployment_exists: - logger.info(f'Creating/Updating deployment: {_DEPLOYMENT_NAME}') + logger.info(f'Creating/Updating deployment: {deployment_name}') create_or_update = get_azure_sdk_function( client=resource_client.deployments, function_name='create_or_update') # TODO (skypilot): this takes a long time (> 40 seconds) to run. outputs = create_or_update( resource_group_name=resource_group, - deployment_name=_DEPLOYMENT_NAME, + deployment_name=deployment_name, parameters=parameters, ).result().properties.outputs - nsg_id = outputs['nsg']['value'] - # append output resource ids to be used with vm creation provider_config['msi'] = outputs['msi']['value'] - provider_config['nsg'] = nsg_id + provider_config['nsg'] = outputs['nsg']['value'] provider_config['subnet'] = outputs['subnet']['value'] return config diff --git a/sky/provision/azure/instance.py b/sky/provision/azure/instance.py index cc2dc692dec..24ba012ea9e 100644 --- a/sky/provision/azure/instance.py +++ b/sky/provision/azure/instance.py @@ -41,6 +41,15 @@ _TAG_SKYPILOT_VM_ID = 'skypilot-vm-id' _WAIT_CREATION_TIMEOUT_SECONDS = 600 +_RESOURCE_MANAGED_IDENTITY_TYPE = ( + 'Microsoft.ManagedIdentity/userAssignedIdentities') +_RESOURCE_NETWORK_SECURITY_GROUP_TYPE = ( + 'Microsoft.Network/networkSecurityGroups') +_RESOURCE_VIRTUAL_NETWORK_TYPE = 'Microsoft.Network/virtualNetworks' +_RESOURCE_PUBLIC_IP_ADDRESS_TYPE = 'Microsoft.Network/publicIPAddresses' +_RESOURCE_VIRTUAL_MACHINE_TYPE = 'Microsoft.Compute/virtualMachines' +_RESOURCE_NETWORK_INTERFACE_TYPE = 'Microsoft.Network/networkInterfaces' + _RESOURCE_GROUP_NOT_FOUND_ERROR_MESSAGE = 'ResourceGroupNotFound' _POLL_INTERVAL = 1 # TODO(Doyoung): _LEGACY_NSG_NAME can be remove this after 0.8.0 to ignore @@ -282,6 +291,7 @@ def _create_vm( image_reference=image_reference, os_disk=compute.OSDisk( create_option=compute.DiskCreateOptionTypes.FROM_IMAGE, + delete_option=compute.DiskDeleteOptionTypes.DELETE, managed_disk=compute.ManagedDiskParameters( storage_account_type=node_config['azure_arm_parameters'] ['osDiskTier']), @@ -697,18 +707,30 @@ def terminate_instances( assert provider_config is not None, cluster_name_on_cloud - resource_group_client = azure.get_client('resource', subscription_id) - delete_resource_group = _get_azure_sdk_function( - client=resource_group_client.resource_groups, function_name='delete') - - try: - delete_resource_group(resource_group, force_deletion_types=None) - except azure.exceptions().ResourceNotFoundError as e: - if 'ResourceGroupNotFound' in str(e): - logger.warning(f'Resource group {resource_group} not found. Skip ' - 'terminating it.') - return - raise + use_external_resource_group = provider_config.get( + 'use_external_resource_group', False) + # When user specified resource group through config.yaml to create a VM, we + # cannot remove the entire resource group as it may contain other resources + # unrelated to this VM being removed. + if use_external_resource_group: + delete_vm_and_attached_resources(subscription_id, resource_group, + cluster_name_on_cloud) + else: + # For SkyPilot default resource groups, delete entire resource group. + # This automatically terminates all resources within, including VMs + resource_group_client = azure.get_client('resource', subscription_id) + delete_resource_group = _get_azure_sdk_function( + client=resource_group_client.resource_groups, + function_name='delete') + try: + delete_resource_group(resource_group, force_deletion_types=None) + except azure.exceptions().ResourceNotFoundError as e: + if 'ResourceGroupNotFound' in str(e): + logger.warning( + f'Resource group {resource_group} not found. Skip ' + 'terminating it.') + return + raise def _get_instance_status( @@ -770,6 +792,188 @@ def match_tags(vm): return nodes +def _delete_nic_with_retries(network_client, + resource_group, + nic_name, + max_retries=15, + retry_interval=20): + """Delete a NIC with retries. + + When a VM is created, its NIC is reserved for 180 seconds, preventing its + immediate deletion. If the NIC is in this reserved state, we must retry + deletion with intervals until the reservation expires. This situation + commonly arises if a VM termination is followed by a failover to another + region due to provisioning failures. + """ + delete_network_interfaces = _get_azure_sdk_function( + client=network_client.network_interfaces, function_name='begin_delete') + for _ in range(max_retries): + try: + delete_network_interfaces(resource_group_name=resource_group, + network_interface_name=nic_name).result() + return + except azure.exceptions().HttpResponseError as e: + if 'NicReservedForAnotherVm' in str(e): + # Retry when deletion fails with reserved NIC. + logger.warning(f'NIC {nic_name} is reserved. ' + f'Retrying in {retry_interval} seconds...') + time.sleep(retry_interval) + else: + raise e + logger.error( + f'Failed to delete NIC {nic_name} after {max_retries} attempts.') + + +def delete_vm_and_attached_resources(subscription_id: str, resource_group: str, + cluster_name_on_cloud: str) -> None: + """Removes VM with attached resources and Deployments. + + This function deletes a virtual machine and its associated resources + (public IP addresses, virtual networks, managed identities, network + interface and network security groups) that match cluster_name_on_cloud. + There is one attached resources that is not removed within this + method: OS disk. It is configured to be deleted when VM is terminated while + setting up storage profile from _create_vm. + + Args: + subscription_id: The Azure subscription ID. + resource_group: The name of the resource group. + cluster_name_on_cloud: The name of the cluster to filter resources. + """ + resource_client = azure.get_client('resource', subscription_id) + try: + list_resources = _get_azure_sdk_function( + client=resource_client.resources, + function_name='list_by_resource_group') + resources = list(list_resources(resource_group)) + except azure.exceptions().ResourceNotFoundError as e: + if _RESOURCE_GROUP_NOT_FOUND_ERROR_MESSAGE in str(e): + return + raise + + filtered_resources: Dict[str, List[str]] = { + _RESOURCE_VIRTUAL_MACHINE_TYPE: [], + _RESOURCE_MANAGED_IDENTITY_TYPE: [], + _RESOURCE_NETWORK_SECURITY_GROUP_TYPE: [], + _RESOURCE_VIRTUAL_NETWORK_TYPE: [], + _RESOURCE_PUBLIC_IP_ADDRESS_TYPE: [], + _RESOURCE_NETWORK_INTERFACE_TYPE: [] + } + + for resource in resources: + if (resource.type in filtered_resources and + cluster_name_on_cloud in resource.name): + filtered_resources[resource.type].append(resource.name) + + network_client = azure.get_client('network', subscription_id) + msi_client = azure.get_client('msi', subscription_id) + compute_client = azure.get_client('compute', subscription_id) + auth_client = azure.get_client('authorization', subscription_id) + + delete_virtual_machine = _get_azure_sdk_function( + client=compute_client.virtual_machines, function_name='delete') + delete_public_ip_addresses = _get_azure_sdk_function( + client=network_client.public_ip_addresses, function_name='begin_delete') + delete_virtual_networks = _get_azure_sdk_function( + client=network_client.virtual_networks, function_name='begin_delete') + delete_managed_identity = _get_azure_sdk_function( + client=msi_client.user_assigned_identities, function_name='delete') + delete_network_security_group = _get_azure_sdk_function( + client=network_client.network_security_groups, + function_name='begin_delete') + delete_role_assignment = _get_azure_sdk_function( + client=auth_client.role_assignments, function_name='delete') + + for vm_name in filtered_resources[_RESOURCE_VIRTUAL_MACHINE_TYPE]: + try: + # Before removing Network Interface, we need to wait for the VM to + # be completely removed with .result() so the dependency of VM on + # Network Interface is disassociated. This takes abour ~30s. + delete_virtual_machine(resource_group_name=resource_group, + vm_name=vm_name).result() + except Exception as e: # pylint: disable=broad-except + logger.warning('Failed to delete VM: {}'.format(e)) + + for nic_name in filtered_resources[_RESOURCE_NETWORK_INTERFACE_TYPE]: + try: + # Before removing Public IP Address, we need to wait for the + # Network Interface to be completely removed with .result() so the + # dependency of Network Interface on Public IP Address is + # disassociated. This takes about ~1s. + _delete_nic_with_retries(network_client, resource_group, nic_name) + except Exception as e: # pylint: disable=broad-except + logger.warning('Failed to delete nic: {}'.format(e)) + + for public_ip_name in filtered_resources[_RESOURCE_PUBLIC_IP_ADDRESS_TYPE]: + try: + delete_public_ip_addresses(resource_group_name=resource_group, + public_ip_address_name=public_ip_name) + except Exception as e: # pylint: disable=broad-except + logger.warning('Failed to delete public ip: {}'.format(e)) + + for vnet_name in filtered_resources[_RESOURCE_VIRTUAL_NETWORK_TYPE]: + try: + delete_virtual_networks(resource_group_name=resource_group, + virtual_network_name=vnet_name) + except Exception as e: # pylint: disable=broad-except + logger.warning('Failed to delete vnet: {}'.format(e)) + + for msi_name in filtered_resources[_RESOURCE_MANAGED_IDENTITY_TYPE]: + user_assigned_identities = ( + msi_client.user_assigned_identities.list_by_resource_group( + resource_group_name=resource_group)) + for identity in user_assigned_identities: + if msi_name == identity.name: + # We use the principal_id to find the correct guid converted + # role assignment name because each managed identity has a + # unique principal_id, and role assignments are associated + # with security principals (like managed identities) via this + # principal_id. + target_principal_id = identity.principal_id + scope = (f'/subscriptions/{subscription_id}' + f'/resourceGroups/{resource_group}') + role_assignments = auth_client.role_assignments.list_for_scope( + scope) + for assignment in role_assignments: + if target_principal_id == assignment.principal_id: + guid_role_assignment_name = assignment.name + try: + delete_role_assignment( + scope=scope, + role_assignment_name=guid_role_assignment_name) + except Exception as e: # pylint: disable=broad-except + logger.warning('Failed to delete role ' + 'assignment: {}'.format(e)) + break + try: + delete_managed_identity(resource_group_name=resource_group, + resource_name=msi_name) + except Exception as e: # pylint: disable=broad-except + logger.warning('Failed to delete msi: {}'.format(e)) + + for nsg_name in filtered_resources[_RESOURCE_NETWORK_SECURITY_GROUP_TYPE]: + try: + delete_network_security_group(resource_group_name=resource_group, + network_security_group_name=nsg_name) + except Exception as e: # pylint: disable=broad-except + logger.warning('Failed to delete nsg: {}'.format(e)) + + delete_deployment = _get_azure_sdk_function( + client=resource_client.deployments, function_name='begin_delete') + deployment_names = [ + constants.EXTERNAL_RG_BOOTSTRAP_DEPLOYMENT_NAME.format( + cluster_name_on_cloud=cluster_name_on_cloud), + constants.EXTERNAL_RG_VM_DEPLOYMENT_NAME.format( + cluster_name_on_cloud=cluster_name_on_cloud) + ] + for deployment_name in deployment_names: + try: + delete_deployment(resource_group_name=resource_group, + deployment_name=deployment_name) + except Exception as e: # pylint: disable=broad-except + logger.warning('Failed to delete deployment: {}'.format(e)) + + @common_utils.retry def query_instances( cluster_name_on_cloud: str, @@ -842,66 +1046,67 @@ def open_ports( update_network_security_groups = _get_azure_sdk_function( client=network_client.network_security_groups, function_name='create_or_update') + list_network_security_groups = _get_azure_sdk_function( + client=network_client.network_security_groups, function_name='list') - try: - # Wait for the NSG creation to be finished before opening a port. The - # cluster provisioning triggers the NSG creation, but it may not be - # finished yet. - backoff = common_utils.Backoff(max_backoff_factor=1) - start_time = time.time() - while True: - nsg = _get_cluster_nsg(network_client, resource_group, - cluster_name_on_cloud) - if nsg.provisioning_state not in ['Creating', 'Updating']: - break - if time.time() - start_time > _WAIT_CREATION_TIMEOUT_SECONDS: - with ux_utils.print_exception_no_traceback(): - raise TimeoutError( - f'Timed out while waiting for the Network ' - f'Security Group {nsg.name!r} to be ready for ' - f'cluster {cluster_name_on_cloud!r} in ' - f'resource group {resource_group!r}. The NSG ' - f'did not reach a stable state ' - '(Creating/Updating) within the allocated ' - f'{_WAIT_CREATION_TIMEOUT_SECONDS} seconds. ' - 'Consequently, the operation to open ports ' - f'{ports} failed.') - - backoff_time = backoff.current_backoff() - logger.info(f'NSG {nsg.name} is not created yet. Waiting for ' + for nsg in list_network_security_groups(resource_group): + # Given resource group can contain network security groups that are + # irrelevant to this provisioning especially with user specified + # resource group at ~/.sky/config. So we make sure to check for the + # completion of nsg relevant to the VM being provisioned. + if cluster_name_on_cloud in nsg.name: + try: + # Wait the NSG creation to be finished before opening a port. + # The cluster provisioning triggers the NSG creation, but it + # may not be finished yet. + backoff = common_utils.Backoff(max_backoff_factor=1) + start_time = time.time() + while True: + if nsg.provisioning_state not in ['Creating', 'Updating']: + break + if time.time( + ) - start_time > _WAIT_CREATION_TIMEOUT_SECONDS: + logger.warning( + f'Fails to wait for the creation of NSG {nsg.name}' + f' in {resource_group} within ' + f'{_WAIT_CREATION_TIMEOUT_SECONDS} seconds. ' + 'Skip this NSG.') + backoff_time = backoff.current_backoff() + logger.info( + f'NSG {nsg.name} is not created yet. Waiting for ' f'{backoff_time} seconds before checking again.') - time.sleep(backoff_time) - - # Azure NSG rules have a priority field that determines the order - # in which they are applied. The priority must be unique across - # all inbound rules in one NSG. - priority = max(rule.priority - for rule in nsg.security_rules - if rule.direction == 'Inbound') + 1 - nsg.security_rules.append( - azure.create_security_rule( - name=f'sky-ports-{cluster_name_on_cloud}-{priority}', - priority=priority, - protocol='Tcp', - access='Allow', - direction='Inbound', - source_address_prefix='*', - source_port_range='*', - destination_address_prefix='*', - destination_port_ranges=ports, - )) - poller = update_network_security_groups(resource_group, nsg.name, nsg) - poller.wait() - if poller.status() != 'Succeeded': - with ux_utils.print_exception_no_traceback(): - raise ValueError(f'Failed to open ports {ports} in NSG ' - f'{nsg.name}: {poller.status()}') - - except azure.exceptions().HttpResponseError as e: - with ux_utils.print_exception_no_traceback(): - raise ValueError(f'Failed to open ports {ports} in NSG for cluster ' - f'{cluster_name_on_cloud!r} within resource group ' - f'{resource_group!r}.') from e + time.sleep(backoff_time) + + # Azure NSG rules have a priority field that determines the + # order in which they are applied. The priority must be unique + # across all inbound rules in one NSG. + priority = max(rule.priority + for rule in nsg.security_rules + if rule.direction == 'Inbound') + 1 + nsg.security_rules.append( + azure.create_security_rule( + name=f'sky-ports-{cluster_name_on_cloud}-{priority}', + priority=priority, + protocol='Tcp', + access='Allow', + direction='Inbound', + source_address_prefix='*', + source_port_range='*', + destination_address_prefix='*', + destination_port_ranges=ports, + )) + poller = update_network_security_groups(resource_group, + nsg.name, nsg) + poller.wait() + if poller.status() != 'Succeeded': + with ux_utils.print_exception_no_traceback(): + raise ValueError(f'Failed to open ports {ports} in NSG ' + f'{nsg.name}: {poller.status()}') + except azure.exceptions().HttpResponseError as e: + with ux_utils.print_exception_no_traceback(): + raise ValueError( + f'Failed to open ports {ports} in NSG {nsg.name}.' + ) from e def cleanup_ports( diff --git a/sky/provision/constants.py b/sky/provision/constants.py index 760abc4861a..8e8ad5ddf1b 100644 --- a/sky/provision/constants.py +++ b/sky/provision/constants.py @@ -16,3 +16,10 @@ TAG_RAY_NODE_KIND: 'worker', TAG_SKYPILOT_HEAD_NODE: '0', } + +# Names for Azure Deployments. +DEPLOYMENT_NAME = 'skypilot-config' +LEGACY_DEPLOYMENT_NAME = 'ray-config' +EXTERNAL_RG_BOOTSTRAP_DEPLOYMENT_NAME = ( + 'skypilot-bootstrap-{cluster_name_on_cloud}') +EXTERNAL_RG_VM_DEPLOYMENT_NAME = 'skypilot-vm-{cluster_name_on_cloud}' diff --git a/sky/templates/azure-ray.yml.j2 b/sky/templates/azure-ray.yml.j2 index b956530fccc..36bf9468b23 100644 --- a/sky/templates/azure-ray.yml.j2 +++ b/sky/templates/azure-ray.yml.j2 @@ -34,6 +34,7 @@ provider: # instead of the cluster_name. This ensures that ray creates new instances # for different cluster_name. resource_group: {{resource_group}} + use_external_resource_group: {{use_external_resource_group}} # Keep (otherwise cannot reuse when re-provisioning). # teardown(terminate=True) will override this. cache_stopped_nodes: True diff --git a/sky/utils/schemas.py b/sky/utils/schemas.py index d9f105db8b0..71c51dded0f 100644 --- a/sky/utils/schemas.py +++ b/sky/utils/schemas.py @@ -758,6 +758,9 @@ def get_config_schema(): 'storage_account': { 'type': 'string', }, + 'resource_group_vm': { + 'type': 'string', + }, } }, 'kubernetes': { diff --git a/tests/test_smoke.py b/tests/test_smoke.py index ed86f93ca27..4fdeefd12ce 100644 --- a/tests/test_smoke.py +++ b/tests/test_smoke.py @@ -5566,7 +5566,7 @@ def test_multiple_accelerators_unordered(): def test_multiple_accelerators_unordered_with_default(): name = _get_cluster_name() test = Test( - 'multiple-accelerators-unordered', + 'multiple-accelerators-unordered-with-default', [ f'sky launch -y -c {name} tests/test_yamls/test_multiple_accelerators_unordered_with_default.yaml', f'sky logs {name} 1 --status', # Ensure the job succeeded. From ce8d2df42574144f96173911d90ad36ba9bc4de1 Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Tue, 29 Oct 2024 09:19:12 -0700 Subject: [PATCH 018/152] [dev] restrict pylint to changed files (#4184) * [dev] restrict pylint to changed files * fix glob * avoid use of xargs -d --- format.sh | 25 ++++++++++++++++++++++--- 1 file changed, 22 insertions(+), 3 deletions(-) diff --git a/format.sh b/format.sh index 66b966c3029..b06481b4c10 100755 --- a/format.sh +++ b/format.sh @@ -60,6 +60,10 @@ BLACK_INCLUDES=( 'sky/skylet/providers/ibm' ) +PYLINT_FLAGS=( + '--load-plugins' 'pylint_quotes' +) + # Format specified files format() { yapf --in-place "${YAPF_FLAGS[@]}" "$@" @@ -77,8 +81,9 @@ format_changed() { MERGEBASE="$(git merge-base origin/master HEAD)" if ! git diff --diff-filter=ACM --quiet --exit-code "$MERGEBASE" -- '*.py' '*.pyi' &>/dev/null; then - git diff --name-only --diff-filter=ACM "$MERGEBASE" -- '*.py' '*.pyi' | xargs -P 5 \ - yapf --in-place "${YAPF_EXCLUDES[@]}" "${YAPF_FLAGS[@]}" + git diff --name-only --diff-filter=ACM "$MERGEBASE" -- '*.py' '*.pyi' | \ + tr '\n' '\0' | xargs -P 5 -0 \ + yapf --in-place "${YAPF_EXCLUDES[@]}" "${YAPF_FLAGS[@]}" fi } @@ -119,7 +124,21 @@ mypy $(cat tests/mypy_files.txt) # Run Pylint echo 'Sky Pylint:' -pylint --load-plugins pylint_quotes sky +if [[ "$1" == '--files' ]]; then + # If --files is passed, filter to files within sky/ and pass to pylint. + pylint "${PYLINT_FLAGS[@]}" "${@:2}" +elif [[ "$1" == '--all' ]]; then + # Pylint entire sky directory. + pylint "${PYLINT_FLAGS[@]}" sky +else + # Pylint only files in sky/ that have changed in last commit. + changed_files=$(git diff --name-only --diff-filter=ACM "$MERGEBASE" -- 'sky/*.py' 'sky/*.pyi') + if [[ -n "$changed_files" ]]; then + echo "$changed_files" | tr '\n' '\0' | xargs -0 pylint "${PYLINT_FLAGS[@]}" + else + echo 'Pylint skipped: no files changed in sky/.' + fi +fi if ! git diff --quiet &>/dev/null; then echo 'Reformatted files. Please review and stage the changes.' From f267893920de852687504d84f21d11170ab39d3e Mon Sep 17 00:00:00 2001 From: Yika Date: Tue, 29 Oct 2024 14:18:56 -0700 Subject: [PATCH 019/152] Update packer scripts (#4203) * Update custom image packer script to exclude .sky and include python sys packages * add comments --- sky/clouds/service_catalog/images/README.md | 14 +++--- .../images/aws_utils/image_gen.py | 2 +- .../images/provisioners/cloud.sh | 50 ------------------- .../images/provisioners/skypilot.sh | 23 ++++++--- .../images/skypilot-aws-cpu-ubuntu.pkr.hcl | 5 +- .../images/skypilot-aws-gpu-ubuntu.pkr.hcl | 5 +- .../images/skypilot-azure-cpu-ubuntu.pkr.hcl | 5 +- .../images/skypilot-azure-gpu-ubuntu.pkr.hcl | 5 +- .../images/skypilot-gcp-cpu-ubuntu.pkr.hcl | 5 +- .../images/skypilot-gcp-gpu-ubuntu.pkr.hcl | 5 +- 10 files changed, 32 insertions(+), 87 deletions(-) delete mode 100644 sky/clouds/service_catalog/images/provisioners/cloud.sh diff --git a/sky/clouds/service_catalog/images/README.md b/sky/clouds/service_catalog/images/README.md index 3bdcbf86560..2323c1b0104 100644 --- a/sky/clouds/service_catalog/images/README.md +++ b/sky/clouds/service_catalog/images/README.md @@ -8,6 +8,7 @@ You only need to do this once. packer init plugins.pkr.hcl ``` 3. Setup cloud credentials +4. `cd sky/clouds/service_catalog/images` ## Generate Images FYI time to packer build images: @@ -30,7 +31,7 @@ packer build ${IMAGE}.pkr.hcl 2. Make the image public ```bash # Make image public -export IMAGE_NAME=skypilot-gcp-cpu-ubuntu-xxx # Update this +export IMAGE_NAME=skypilot-gcp-cpu-ubuntu-20241029144600 # Update this export IMAGE_ID=projects/sky-dev-465/global/images/${IMAGE_NAME} gcloud compute images add-iam-policy-binding ${IMAGE_NAME} --member='allAuthenticatedUsers' --role='roles/compute.imageUser' ``` @@ -44,7 +45,8 @@ packer build ${IMAGE}.pkr.hcl ``` 2. Copy images to all regions ```bash -export IMAGE_ID=ami-0b31b24524afa8e47 # Update this +export TYPE=gpu # Update this +export IMAGE_ID=ami-05e9f5efd844f1a4f # Update this python aws_utils/image_gen.py --image-id ${IMAGE_ID} --processor ${TYPE} ``` 3. Add fallback images if any region failed \ @@ -55,11 +57,11 @@ Look for "NEED_FALLBACK" in the output `images.csv` and edit. (You can use publi ```bash export SECRET=xxxxxx # Update this ``` -2. Build and copy images for all regions and both VM generations (1 and 2). +2. Build and copy images for all regions for GPU (gen 1 & 2) and CPU (gen 2 only). ```bash -export VM_GENERATION=2 # Update this -packer build -force --var vm_generation=${VM_GENERATION} --var client_secret=${SECRET} skypilot-azure-cpu-ubuntu.pkr.hcl -packer build --var client_secret=${SECRET} skypilot-azure-gpu-ubuntu.pkr.hcl +export TYPE=gpu # Update this +export VM_GENERATION=1 # Update this +packer build --var vm_generation=${VM_GENERATION} --var client_secret=${SECRET} skypilot-azure-${TYPE}-ubuntu.pkr.hcl ``` ## Test Images diff --git a/sky/clouds/service_catalog/images/aws_utils/image_gen.py b/sky/clouds/service_catalog/images/aws_utils/image_gen.py index cb39355ad2c..cadfee912a9 100644 --- a/sky/clouds/service_catalog/images/aws_utils/image_gen.py +++ b/sky/clouds/service_catalog/images/aws_utils/image_gen.py @@ -133,7 +133,7 @@ def process_region(copy_to_region): except Exception as e: print(f"Error generating image to {copy_to_region}: {str(e)}") new_image_id = 'NEED_FALLBACK' - image_cache.append((new_image_id, copy_to_region)) + image_cache.append((new_image_id, copy_to_region)) with concurrent.futures.ThreadPoolExecutor() as executor: executor.map(process_region, ALL_REGIONS) diff --git a/sky/clouds/service_catalog/images/provisioners/cloud.sh b/sky/clouds/service_catalog/images/provisioners/cloud.sh deleted file mode 100644 index b326c9fde51..00000000000 --- a/sky/clouds/service_catalog/images/provisioners/cloud.sh +++ /dev/null @@ -1,50 +0,0 @@ -#!/bin/bash - -PYTHON_EXEC=$(echo ~/skypilot-runtime)/bin/python - -# TODO: keep this dependency installation align with utils/controller_utils.py and setup.py -install_azure() { - echo "Install cloud dependencies on controller: Azure" - $PYTHON_EXEC -m pip install "azure-cli>=2.31.0" azure-core "azure-identity>=1.13.0" azure-mgmt-network - $PYTHON_EXEC -m pip install azure-storage-blob msgraph-sdk -} - -install_gcp() { - echo "Install cloud dependencies on controller: GCP" - $PYTHON_EXEC -m pip install "google-api-python-client>=2.69.0" - $PYTHON_EXEC -m pip install google-cloud-storage - if ! gcloud --help > /dev/null 2>&1; then - pushd /tmp &>/dev/null - mkdir -p ~/.sky/logs - wget --quiet https://dl.google.com/dl/cloudsdk/channels/rapid/downloads/google-cloud-sdk-424.0.0-linux-x86_64.tar.gz > ~/.sky/logs/gcloud_installation.log - tar xzf google-cloud-sdk-424.0.0-linux-x86_64.tar.gz >> ~/.sky/logs/gcloud_installation.log - rm -rf ~/google-cloud-sdk >> ~/.sky/logs/gcloud_installation.log - mv google-cloud-sdk ~/ - ~/google-cloud-sdk/install.sh -q >> ~/.sky/logs/gcloud_installation.log 2>&1 - echo "source ~/google-cloud-sdk/path.bash.inc > /dev/null 2>&1" >> ~/.bashrc - source ~/google-cloud-sdk/path.bash.inc >> ~/.sky/logs/gcloud_installation.log 2>&1 - popd &>/dev/null - fi -} - -install_aws() { - echo "Install cloud dependencies on controller: AWS" - $PYTHON_EXEC -m pip install botocore>=1.29.10 boto3>=1.26.1 - $PYTHON_EXEC -m pip install "urllib3<2" awscli>=1.27.10 "colorama<0.4.5" -} - -if [ "$CLOUD" = "azure" ]; then - install_azure -elif [ "$CLOUD" = "gcp" ]; then - install_gcp -elif [ "$CLOUD" = "aws" ]; then - install_aws -else - echo "Error: Unknown cloud $CLOUD so not installing any cloud dependencies." -fi - -if [ $? -eq 0 ]; then - echo "Successfully installed cloud dependencies on controller: $CLOUD" -else - echo "Error: Failed to install cloud dependencies on controller: $CLOUD" -fi diff --git a/sky/clouds/service_catalog/images/provisioners/skypilot.sh b/sky/clouds/service_catalog/images/provisioners/skypilot.sh index ff2aa06b2b6..cecb3664736 100644 --- a/sky/clouds/service_catalog/images/provisioners/skypilot.sh +++ b/sky/clouds/service_catalog/images/provisioners/skypilot.sh @@ -36,14 +36,12 @@ echo PATH=$PATH python3 -m venv ~/skypilot-runtime PYTHON_EXEC=$(echo ~/skypilot-runtime)/bin/python -# Pip installs -$PYTHON_EXEC -m pip install "setuptools<70" -$PYTHON_EXEC -m pip install "grpcio!=1.48.0,<=1.51.3,>=1.42.0" -$PYTHON_EXEC -m pip install "skypilot-nightly" +# Install SkyPilot +$PYTHON_EXEC -m pip install "skypilot-nightly[remote]" -# Install ray +# Install Ray RAY_ADDRESS=127.0.0.1:6380 -$PYTHON_EXEC -m pip install --exists-action w -U ray[default]==2.9.3 +$PYTHON_EXEC -m pip install --exists-action w -U "ray[default]==2.9.3" export PATH=$PATH:$HOME/.local/bin source ~/skypilot-runtime/bin/activate which ray > ~/.sky/ray_path || exit 1 @@ -51,6 +49,18 @@ $PYTHON_EXEC -m pip list | grep "ray " | grep 2.9.3 2>&1 > /dev/null && { $PYTHON_EXEC -c "from sky.skylet.ray_patches import patch; patch()" || exit 1 } +# Install cloud dependencies +if [ "$CLOUD" = "azure" ]; then + $PYTHON_EXEC -m pip install "skypilot-nightly[azure]" +elif [ "$CLOUD" = "gcp" ]; then + # We don't have to install the google-cloud-sdk since it is installed by default in GCP machines. + $PYTHON_EXEC -m pip install "skypilot-nightly[gcp]" +elif [ "$CLOUD" = "aws" ]; then + $PYTHON_EXEC -m pip install "skypilot-nightly[aws]" +else + echo "Error: Unknown cloud $CLOUD so not installing any cloud dependencies." +fi + # System configurations sudo bash -c 'rm -rf /etc/security/limits.d; echo "* soft nofile 1048576" >> /etc/security/limits.conf; echo "* hard nofile 1048576" >> /etc/security/limits.conf' sudo grep -e '^DefaultTasksMax' /etc/systemd/system.conf || sudo bash -c 'echo "DefaultTasksMax=infinity" >> /etc/systemd/system.conf' @@ -67,3 +77,4 @@ sudo systemctl disable jupyter > /dev/null 2>&1 || true # Cleanup # Remove SkyPilot in OS image because when user sky launch we will install whatever version of SkyPilot user has on their local machine. $PYTHON_EXEC -m pip uninstall "skypilot-nightly" -y +rm -rf ~/.sky diff --git a/sky/clouds/service_catalog/images/skypilot-aws-cpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-aws-cpu-ubuntu.pkr.hcl index 5b049cf35ec..0e2f74c5355 100644 --- a/sky/clouds/service_catalog/images/skypilot-aws-cpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-aws-cpu-ubuntu.pkr.hcl @@ -35,13 +35,10 @@ build { provisioner "shell" { script = "./provisioners/docker.sh" } - provisioner "shell" { - script = "./provisioners/skypilot.sh" - } provisioner "shell" { environment_vars = [ "CLOUD=aws", ] - script = "./provisioners/cloud.sh" + script = "./provisioners/skypilot.sh" } } diff --git a/sky/clouds/service_catalog/images/skypilot-aws-gpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-aws-gpu-ubuntu.pkr.hcl index 4579987768a..40ca77f49a0 100644 --- a/sky/clouds/service_catalog/images/skypilot-aws-gpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-aws-gpu-ubuntu.pkr.hcl @@ -43,13 +43,10 @@ build { provisioner "shell" { script = "./provisioners/nvidia-container-toolkit.sh" } - provisioner "shell" { - script = "./provisioners/skypilot.sh" - } provisioner "shell" { environment_vars = [ "CLOUD=aws", ] - script = "./provisioners/cloud.sh" + script = "./provisioners/skypilot.sh" } } diff --git a/sky/clouds/service_catalog/images/skypilot-azure-cpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-azure-cpu-ubuntu.pkr.hcl index 2a07c41d136..0b7dd18188d 100644 --- a/sky/clouds/service_catalog/images/skypilot-azure-cpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-azure-cpu-ubuntu.pkr.hcl @@ -60,13 +60,10 @@ build { provisioner "shell" { script = "./provisioners/docker.sh" } - provisioner "shell" { - script = "./provisioners/skypilot.sh" - } provisioner "shell" { environment_vars = [ "CLOUD=azure", ] - script = "./provisioners/cloud.sh" + script = "./provisioners/skypilot.sh" } } diff --git a/sky/clouds/service_catalog/images/skypilot-azure-gpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-azure-gpu-ubuntu.pkr.hcl index 97c99b2431e..e5901d4107f 100644 --- a/sky/clouds/service_catalog/images/skypilot-azure-gpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-azure-gpu-ubuntu.pkr.hcl @@ -66,13 +66,10 @@ build { provisioner "shell" { script = "./provisioners/nvidia-container-toolkit.sh" } - provisioner "shell" { - script = "./provisioners/skypilot.sh" - } provisioner "shell" { environment_vars = [ "CLOUD=azure", ] - script = "./provisioners/cloud.sh" + script = "./provisioners/skypilot.sh" } } diff --git a/sky/clouds/service_catalog/images/skypilot-gcp-cpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-gcp-cpu-ubuntu.pkr.hcl index bf3af0519e4..3c56e3d5af6 100644 --- a/sky/clouds/service_catalog/images/skypilot-gcp-cpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-gcp-cpu-ubuntu.pkr.hcl @@ -21,13 +21,10 @@ build { provisioner "shell" { script = "./provisioners/docker.sh" } - provisioner "shell" { - script = "./provisioners/skypilot.sh" - } provisioner "shell" { environment_vars = [ "CLOUD=gcp", ] - script = "./provisioners/cloud.sh" + script = "./provisioners/skypilot.sh" } } diff --git a/sky/clouds/service_catalog/images/skypilot-gcp-gpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-gcp-gpu-ubuntu.pkr.hcl index f46d414493b..578c0b1269f 100644 --- a/sky/clouds/service_catalog/images/skypilot-gcp-gpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-gcp-gpu-ubuntu.pkr.hcl @@ -34,13 +34,10 @@ build { provisioner "shell" { script = "./provisioners/nvidia-container-toolkit.sh" } - provisioner "shell" { - script = "./provisioners/skypilot.sh" - } provisioner "shell" { environment_vars = [ "CLOUD=gcp", ] - script = "./provisioners/cloud.sh" + script = "./provisioners/skypilot.sh" } } From b86fb47b4534169f7ecbccd3ceb113e0ffcce25a Mon Sep 17 00:00:00 2001 From: Yika Date: Tue, 29 Oct 2024 14:58:38 -0700 Subject: [PATCH 020/152] Upgrade Azure SDK version requirement (#4204) --- sky/setup_files/setup.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/sky/setup_files/setup.py b/sky/setup_files/setup.py index 604060c68ae..e73e3ce7740 100644 --- a/sky/setup_files/setup.py +++ b/sky/setup_files/setup.py @@ -216,8 +216,9 @@ def parse_readme(readme: str) -> str: # We need azure-identity>=1.13.0 to enable the customization of the # timeout of AzureCliCredential. 'azure': [ - 'azure-cli>=2.31.0', 'azure-core', 'azure-identity>=1.13.0', - 'azure-mgmt-network', 'azure-storage-blob', 'msgraph-sdk' + 'azure-cli>=2.65.0', 'azure-core>=1.31.0', 'azure-identity>=1.19.0', + 'azure-mgmt-network>=27.0.0', 'azure-mgmt-compute>=33.0.0', + 'azure-storage-blob>=12.23.1', 'msgraph-sdk' ] + local_ray, # We need google-api-python-client>=2.69.0 to enable 'discardLocalSsd' # parameter for stopping instances. From 46ea0d87ffa8bdcf05a32c938e2002924abb3c87 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Tue, 29 Oct 2024 16:40:48 -0700 Subject: [PATCH 021/152] [Jobs] Add option to specify `max_restarts_on_errors` (#4169) * Add option to specify `max_retry_on_failure` * fix recover counts * fix log streaming * fix docs * fix * fix * fix * fix * fix default value * Fix spinner * Add unit test for default strategy * fix test * format * Update docs/source/examples/managed-jobs.rst Co-authored-by: Zongheng Yang * rename to restarts * Update docs/source/examples/managed-jobs.rst Co-authored-by: Zongheng Yang * update docs * warning instead of error out * Update docs/source/examples/managed-jobs.rst Co-authored-by: Romil Bhardwaj * rename * add comment * fix * rename * Update sky/execution.py Co-authored-by: Romil Bhardwaj * Update sky/execution.py Co-authored-by: Romil Bhardwaj * address comments * format * commit changes for docs * Format --------- Co-authored-by: Zongheng Yang Co-authored-by: Romil Bhardwaj --- docs/source/examples/managed-jobs.rst | 18 +++++ docs/source/reference/yaml-spec.rst | 4 ++ sky/execution.py | 9 +-- sky/jobs/controller.py | 60 ++++++++++------- sky/jobs/recovery_strategy.py | 35 ++++++++-- sky/jobs/state.py | 38 +++++++++-- sky/jobs/utils.py | 32 +++++++-- sky/resources.py | 33 +++++++--- sky/utils/dag_utils.py | 18 +++-- sky/utils/schemas.py | 22 ++++++- tests/unit_tests/test_dag_utils.py | 95 +++++++++++++++++++++++++++ 11 files changed, 311 insertions(+), 53 deletions(-) create mode 100644 tests/unit_tests/test_dag_utils.py diff --git a/docs/source/examples/managed-jobs.rst b/docs/source/examples/managed-jobs.rst index 8e329adaa81..018a993f588 100644 --- a/docs/source/examples/managed-jobs.rst +++ b/docs/source/examples/managed-jobs.rst @@ -288,6 +288,24 @@ candidate resources for a job. See documentation :ref:`here In this example, SkyPilot will perform cost optimizations to select the resource to use, which almost certainly will be spot instances. If spot instances are not available, SkyPilot will fall back to launch on-demand/reserved instances. + +Jobs Restarts on User Code Failure +----------------------------------- + +By default, SkyPilot will try to recover a job when its underlying cluster is preempted or failed. Any user code failures (non-zero exit codes) are not auto-recovered. + +In some cases, you may want a job to automatically restart on its own failures, e.g., when a training job crashes due to a Nvidia driver issue or NCCL timeouts. To specify this, you +can set :code:`max_restarts_on_errors` in :code:`resources.job_recovery` in the job YAML file. + +.. code-block:: yaml + + resources: + accelerators: A100:8 + job_recovery: + # Restart the job up to 3 times on user code errors. + max_restarts_on_errors: 3 + + More advanced policies for resource selection, such as the `Can't Be Late `__ (NSDI'24) paper, may be supported in the future. diff --git a/docs/source/reference/yaml-spec.rst b/docs/source/reference/yaml-spec.rst index 7c298dd4079..455ee5909c9 100644 --- a/docs/source/reference/yaml-spec.rst +++ b/docs/source/reference/yaml-spec.rst @@ -107,6 +107,10 @@ Available fields: # # default: EAGER_NEXT_REGION job_recovery: none + # Or, to allow up to 3 restarts (default: 0) on user code errors: + # job_recovery: + # strategy: EAGER_NEXT_REGION + # max_restarts_on_errors: 3 # Disk size in GB to allocate for OS (mounted at /). Increase this if you # have a large working directory or tasks that write out large outputs. diff --git a/sky/execution.py b/sky/execution.py index d9a346a99cf..42a39a90380 100644 --- a/sky/execution.py +++ b/sky/execution.py @@ -171,10 +171,11 @@ def _execute( task = dag.tasks[0] if any(r.job_recovery is not None for r in task.resources): - with ux_utils.print_exception_no_traceback(): - raise ValueError( - 'Job recovery is specified in the task. To launch a ' - 'managed job, please use: sky jobs launch') + logger.warning( + f'{colorama.Style.DIM}The task has `job_recovery` specified, ' + 'but is launched as an unmanaged job. It will be ignored.' + 'To enable job recovery, use managed jobs: sky jobs launch.' + f'{colorama.Style.RESET_ALL}') cluster_exists = False if cluster_name is not None: diff --git a/sky/jobs/controller.py b/sky/jobs/controller.py index 73d509be9ef..5219c564500 100644 --- a/sky/jobs/controller.py +++ b/sky/jobs/controller.py @@ -160,6 +160,11 @@ def _run_one_task(self, task_id: int, task: 'sky.Task') -> bool: if task_id == 0: submitted_at = backend_utils.get_timestamp_from_run_timestamp( self._backend.run_timestamp) + assert task.name is not None, task + cluster_name = managed_job_utils.generate_managed_job_cluster_name( + task.name, self._job_id) + self._strategy_executor = recovery_strategy.StrategyExecutor.make( + cluster_name, self._backend, task, self._retry_until_up) managed_job_state.set_submitted( self._job_id, task_id, @@ -167,15 +172,14 @@ def _run_one_task(self, task_id: int, task: 'sky.Task') -> bool: submitted_at, resources_str=backend_utils.get_task_resources_str( task, is_managed_job=True), + specs={ + 'max_restarts_on_errors': + self._strategy_executor.max_restarts_on_errors + }, callback_func=callback_func) logger.info( f'Submitted managed job {self._job_id} (task: {task_id}, name: ' f'{task.name!r}); {constants.TASK_ID_ENV_VAR}: {task_id_env_var}') - assert task.name is not None, task - cluster_name = managed_job_utils.generate_managed_job_cluster_name( - task.name, self._job_id) - self._strategy_executor = recovery_strategy.StrategyExecutor.make( - cluster_name, self._backend, task, self._retry_until_up) logger.info('Started monitoring.') managed_job_state.set_starting(job_id=self._job_id, @@ -283,23 +287,35 @@ def _run_one_task(self, task_id: int, task: 'sky.Task') -> bool: failure_reason = ( 'To see the details, run: ' f'sky jobs logs --controller {self._job_id}') - - managed_job_state.set_failed( - self._job_id, - task_id, - failure_type=managed_job_status, - failure_reason=failure_reason, - end_time=end_time, - callback_func=callback_func) - return False - # Although the cluster is healthy, we fail to access the - # job status. Try to recover the job (will not restart the - # cluster, if the cluster is healthy). - assert job_status is None, job_status - logger.info('Failed to fetch the job status while the ' - 'cluster is healthy. Try to recover the job ' - '(the cluster will not be restarted).') - + should_restart_on_failure = ( + self._strategy_executor.should_restart_on_failure()) + if should_restart_on_failure: + max_restarts = ( + self._strategy_executor.max_restarts_on_errors) + logger.info( + f'User program crashed ' + f'({managed_job_status.value}). ' + f'Retry the job as max_restarts_on_errors is ' + f'set to {max_restarts}. ' + f'[{self._strategy_executor.restart_cnt_on_failure}' + f'/{max_restarts}]') + else: + managed_job_state.set_failed( + self._job_id, + task_id, + failure_type=managed_job_status, + failure_reason=failure_reason, + end_time=end_time, + callback_func=callback_func) + return False + else: + # Although the cluster is healthy, we fail to access the + # job status. Try to recover the job (will not restart the + # cluster, if the cluster is healthy). + assert job_status is None, job_status + logger.info('Failed to fetch the job status while the ' + 'cluster is healthy. Try to recover the job ' + '(the cluster will not be restarted).') # When the handle is None, the cluster should be cleaned up already. if handle is not None: resources = handle.launched_resources diff --git a/sky/jobs/recovery_strategy.py b/sky/jobs/recovery_strategy.py index 6a931240646..e5c607696d8 100644 --- a/sky/jobs/recovery_strategy.py +++ b/sky/jobs/recovery_strategy.py @@ -66,7 +66,8 @@ class StrategyExecutor: RETRY_INIT_GAP_SECONDS = 60 def __init__(self, cluster_name: str, backend: 'backends.Backend', - task: 'task_lib.Task', retry_until_up: bool) -> None: + task: 'task_lib.Task', retry_until_up: bool, + max_restarts_on_errors: int) -> None: """Initialize the strategy executor. Args: @@ -82,6 +83,8 @@ def __init__(self, cluster_name: str, backend: 'backends.Backend', self.cluster_name = cluster_name self.backend = backend self.retry_until_up = retry_until_up + self.max_restarts_on_errors = max_restarts_on_errors + self.restart_cnt_on_failure = 0 def __init_subclass__(cls, name: str, default: bool = False): RECOVERY_STRATEGIES[name] = cls @@ -109,8 +112,17 @@ def make(cls, cluster_name: str, backend: 'backends.Backend', # set the new_task_resources to be the same type (list or set) as the # original task.resources task.set_resources(type(task.resources)(new_resources_list)) - return RECOVERY_STRATEGIES[job_recovery](cluster_name, backend, task, - retry_until_up) + if isinstance(job_recovery, dict): + job_recovery_name = job_recovery.pop('strategy', + DEFAULT_RECOVERY_STRATEGY) + max_restarts_on_errors = job_recovery.pop('max_restarts_on_errors', + 0) + else: + job_recovery_name = job_recovery + max_restarts_on_errors = 0 + return RECOVERY_STRATEGIES[job_recovery_name](cluster_name, backend, + task, retry_until_up, + max_restarts_on_errors) def launch(self) -> float: """Launch the cluster for the first time. @@ -368,6 +380,17 @@ def _launch(self, f'{gap_seconds:.1f} seconds.') time.sleep(gap_seconds) + def should_restart_on_failure(self) -> bool: + """Increments counter & checks if job should be restarted on a failure. + + Returns: + True if the job should be restarted, otherwise False. + """ + self.restart_cnt_on_failure += 1 + if self.restart_cnt_on_failure > self.max_restarts_on_errors: + return False + return True + class FailoverStrategyExecutor(StrategyExecutor, name='FAILOVER', default=False): @@ -376,8 +399,10 @@ class FailoverStrategyExecutor(StrategyExecutor, name='FAILOVER', _MAX_RETRY_CNT = 240 # Retry for 4 hours. def __init__(self, cluster_name: str, backend: 'backends.Backend', - task: 'task_lib.Task', retry_until_up: bool) -> None: - super().__init__(cluster_name, backend, task, retry_until_up) + task: 'task_lib.Task', retry_until_up: bool, + max_restarts_on_errors: int) -> None: + super().__init__(cluster_name, backend, task, retry_until_up, + max_restarts_on_errors) # Note down the cloud/region of the launched cluster, so that we can # first retry in the same cloud/region. (Inside recover() we may not # rely on cluster handle, as it can be None if the cluster is diff --git a/sky/jobs/state.py b/sky/jobs/state.py index 2ef5b578b7a..e60a7cc8fba 100644 --- a/sky/jobs/state.py +++ b/sky/jobs/state.py @@ -2,6 +2,7 @@ # TODO(zhwu): maybe use file based status instead of database, so # that we can easily switch to a s3-based storage. import enum +import json import pathlib import sqlite3 import time @@ -65,7 +66,8 @@ def _get_db_path() -> str: failure_reason TEXT, spot_job_id INTEGER, task_id INTEGER DEFAULT 0, - task_name TEXT)""") + task_name TEXT, + specs TEXT)""") _CONN.commit() db_utils.add_column_to_table(_CURSOR, _CONN, 'spot', 'failure_reason', 'TEXT') @@ -92,6 +94,17 @@ def _get_db_path() -> str: 'TEXT', copy_from='job_name') +# Specs is some useful information about the task, e.g., the +# max_restarts_on_errors value. It is stored in JSON format. +db_utils.add_column_to_table(_CURSOR, + _CONN, + 'spot', + 'specs', + 'TEXT', + value_to_replace_existing_entries=json.dumps({ + 'max_restarts_on_errors': 0, + })) + # `job_info` contains the mapping from job_id to the job_name. # In the future, it may contain more information about each job. _CURSOR.execute("""\ @@ -130,7 +143,8 @@ def _get_db_path() -> str: 'task_name', # columns from the job_info table '_job_info_job_id', # This should be the same as job_id - 'job_name' + 'job_name', + 'specs', ] @@ -283,7 +297,8 @@ def set_pending(job_id: int, task_id: int, task_name: str, resources_str: str): def set_submitted(job_id: int, task_id: int, run_timestamp: str, submit_time: float, resources_str: str, - callback_func: CallbackType): + specs: Dict[str, Union[str, + int]], callback_func: CallbackType): """Set the task to submitted. Args: @@ -293,6 +308,8 @@ def set_submitted(job_id: int, task_id: int, run_timestamp: str, determine the log directory of the managed task. submit_time: The time when the managed task is submitted. resources_str: The resources string of the managed task. + specs: The specs of the managed task. + callback_func: The callback function. """ # Use the timestamp in the `run_timestamp` ('sky-2022-10...'), to make # the log directory and submission time align with each other, so as to @@ -306,11 +323,12 @@ def set_submitted(job_id: int, task_id: int, run_timestamp: str, resources=(?), submitted_at=(?), status=(?), - run_timestamp=(?) + run_timestamp=(?), + specs=(?) WHERE spot_job_id=(?) AND task_id=(?)""", (resources_str, submit_time, ManagedJobStatus.SUBMITTED.value, - run_timestamp, job_id, task_id)) + run_timestamp, json.dumps(specs), job_id, task_id)) callback_func('SUBMITTED') @@ -619,3 +637,13 @@ def get_latest_job_id() -> Optional[int]: for (job_id,) in rows: return job_id return None + + +def get_task_specs(job_id: int, task_id: int) -> Dict[str, Any]: + with db_utils.safe_cursor(_DB_PATH) as cursor: + task_specs = cursor.execute( + """\ + SELECT specs FROM spot + WHERE spot_job_id=(?) AND task_id=(?)""", + (job_id, task_id)).fetchone() + return json.loads(task_specs[0]) diff --git a/sky/jobs/utils.py b/sky/jobs/utils.py index 0d2eed9af9c..981f6d8286f 100644 --- a/sky/jobs/utils.py +++ b/sky/jobs/utils.py @@ -70,7 +70,7 @@ # state, after the job finished. This is a safeguard to avoid the case where # the managed job status fails to be updated and keep the `sky jobs logs` # blocking for a long time. -_FINAL_JOB_STATUS_WAIT_TIMEOUT_SECONDS = 20 +_FINAL_JOB_STATUS_WAIT_TIMEOUT_SECONDS = 25 class UserSignal(enum.Enum): @@ -392,8 +392,12 @@ def stream_logs_by_id(job_id: int, follow: bool = True) -> str: f'INFO: Log for the current task ({task_id}) ' 'is finished. Waiting for the next task\'s log ' 'to be started.') - status_display.update('Waiting for the next task: ' - f'{task_id + 1}.') + # Add a newline to avoid the status display below + # removing the last line of the task output. + print() + status_display.update( + ux_utils.spinner_message( + f'Waiting for the next task: {task_id + 1}')) status_display.start() original_task_id = task_id while True: @@ -405,7 +409,27 @@ def stream_logs_by_id(job_id: int, follow: bool = True) -> str: time.sleep(JOB_STATUS_CHECK_GAP_SECONDS) continue else: - break + task_specs = managed_job_state.get_task_specs( + job_id, task_id) + if task_specs.get('max_restarts_on_errors', 0) == 0: + # We don't need to wait for the managed job status + # update, as the job is guaranteed to be in terminal + # state afterwards. + break + print() + status_display.update( + ux_utils.spinner_message( + 'Waiting for next restart for the failed task')) + status_display.start() + while True: + _, managed_job_status = ( + managed_job_state.get_latest_task_id_status( + job_id)) + if (managed_job_status != + managed_job_state.ManagedJobStatus.RUNNING): + break + time.sleep(JOB_STATUS_CHECK_GAP_SECONDS) + continue # The job can be cancelled by the user or the controller (when # the cluster is partially preempted). logger.debug( diff --git a/sky/resources.py b/sky/resources.py index 164ef312ba1..9d853ac81f0 100644 --- a/sky/resources.py +++ b/sky/resources.py @@ -55,7 +55,7 @@ def __init__( accelerators: Union[None, str, Dict[str, int]] = None, accelerator_args: Optional[Dict[str, str]] = None, use_spot: Optional[bool] = None, - job_recovery: Optional[str] = None, + job_recovery: Optional[Union[Dict[str, Union[str, int]], str]] = None, region: Optional[str] = None, zone: Optional[str] = None, image_id: Union[Dict[str, str], str, None] = None, @@ -111,6 +111,12 @@ def __init__( job to recover the cluster from preemption. Refer to `recovery_strategy module `__ # pylint: disable=line-too-long for more details. + When a dict is provided, it can have the following fields: + + - strategy: the recovery strategy to use. + - max_restarts_on_errors: the max number of restarts on user code + errors. + region: the region to use. zone: the zone to use. image_id: the image ID to use. If a str, must be a string @@ -161,10 +167,20 @@ def __init__( self._use_spot_specified = use_spot is not None self._use_spot = use_spot if use_spot is not None else False - self._job_recovery = None + self._job_recovery: Optional[Dict[str, Union[str, int]]] = None if job_recovery is not None: - if job_recovery.strip().lower() != 'none': - self._job_recovery = job_recovery.upper() + if isinstance(job_recovery, str): + job_recovery = {'strategy': job_recovery} + if 'strategy' not in job_recovery: + job_recovery['strategy'] = None + + strategy_name = job_recovery['strategy'] + if strategy_name == 'none': + self._job_recovery = None + else: + if strategy_name is not None: + job_recovery['strategy'] = strategy_name.upper() + self._job_recovery = job_recovery if disk_size is not None: if round(disk_size) != disk_size: @@ -419,7 +435,7 @@ def use_spot_specified(self) -> bool: return self._use_spot_specified @property - def job_recovery(self) -> Optional[str]: + def job_recovery(self) -> Optional[Dict[str, Union[str, int]]]: return self._job_recovery @property @@ -814,12 +830,13 @@ def _try_validate_managed_job_attributes(self) -> None: Raises: ValueError: if the attributes are invalid. """ - if self._job_recovery is None: + if self._job_recovery is None or self._job_recovery['strategy'] is None: return - if self._job_recovery not in managed_jobs.RECOVERY_STRATEGIES: + if (self._job_recovery['strategy'] + not in managed_jobs.RECOVERY_STRATEGIES): with ux_utils.print_exception_no_traceback(): raise ValueError( - f'Spot recovery strategy {self._job_recovery} ' + f'Spot recovery strategy {self._job_recovery["strategy"]} ' 'is not supported. The strategy should be among ' f'{list(managed_jobs.RECOVERY_STRATEGIES.keys())}') diff --git a/sky/utils/dag_utils.py b/sky/utils/dag_utils.py index e6b491c3168..3229f86abf9 100644 --- a/sky/utils/dag_utils.py +++ b/sky/utils/dag_utils.py @@ -143,11 +143,21 @@ def fill_default_config_in_dag_for_job_launch(dag: dag_lib.Dag) -> None: for task_ in dag.tasks: new_resources_list = [] + default_strategy = jobs.DEFAULT_RECOVERY_STRATEGY + assert default_strategy is not None for resources in list(task_.resources): - change_default_value: Dict[str, Any] = {} - if resources.job_recovery is None: - change_default_value[ - 'job_recovery'] = jobs.DEFAULT_RECOVERY_STRATEGY + original_job_recovery = resources.job_recovery + job_recovery = {'strategy': default_strategy} + if isinstance(original_job_recovery, str): + job_recovery['strategy'] = original_job_recovery + elif isinstance(original_job_recovery, dict): + job_recovery.update(original_job_recovery) + strategy = job_recovery.get('strategy') + if strategy is None: + job_recovery['strategy'] = default_strategy + change_default_value: Dict[str, Any] = { + 'job_recovery': job_recovery + } new_resources = resources.copy(**change_default_value) new_resources_list.append(new_resources) diff --git a/sky/utils/schemas.py b/sky/utils/schemas.py index 71c51dded0f..81c4cb332a6 100644 --- a/sky/utils/schemas.py +++ b/sky/utils/schemas.py @@ -92,7 +92,27 @@ def _get_single_resources_schema(): 'type': 'string', }, 'job_recovery': { - 'type': 'string', + # Either a string or a dict. + 'anyOf': [{ + 'type': 'string', + }, { + 'type': 'object', + 'required': [], + 'additionalProperties': False, + 'properties': { + 'strategy': { + 'anyOf': [{ + 'type': 'string', + }, { + 'type': 'null', + }], + }, + 'max_restarts_on_errors': { + 'type': 'integer', + 'minimum': 0, + }, + } + }], }, 'disk_size': { 'type': 'integer', diff --git a/tests/unit_tests/test_dag_utils.py b/tests/unit_tests/test_dag_utils.py new file mode 100644 index 00000000000..a083757800f --- /dev/null +++ b/tests/unit_tests/test_dag_utils.py @@ -0,0 +1,95 @@ +"""Test dag utils.""" +import textwrap + +import pytest +import yaml + +import sky +from sky import jobs +from sky.utils import common_utils +from sky.utils import dag_utils + + +def test_jobs_recovery_fill_default_values(): + """Test jobs recovery fill default values.""" + task_str = textwrap.dedent("""\ + resources: + cpus: 2+ + """) + task_config = yaml.safe_load(task_str) + task = sky.Task.from_yaml_config(task_config) + dag = dag_utils.convert_entrypoint_to_dag(task) + dag_utils.fill_default_config_in_dag_for_job_launch(dag) + + resources = list(dag.tasks[0].resources) + assert len(resources) == 1 + assert resources[0].job_recovery[ + 'strategy'] == jobs.DEFAULT_RECOVERY_STRATEGY + + task_str = textwrap.dedent("""\ + resources: + cpus: 2+ + job_recovery: + max_restarts_on_errors: 3 + """) + + task_config = yaml.safe_load(task_str) + task = sky.Task.from_yaml_config(task_config) + dag = dag_utils.convert_entrypoint_to_dag(task) + dag_utils.fill_default_config_in_dag_for_job_launch(dag) + + resources = list(dag.tasks[0].resources) + assert len(resources) == 1 + assert resources[0].job_recovery[ + 'strategy'] == jobs.DEFAULT_RECOVERY_STRATEGY + assert resources[0].job_recovery['max_restarts_on_errors'] == 3 + + task_str = textwrap.dedent(f"""\ + resources: + cpus: 2+ + job_recovery: + strategy: FAILOVER + max_restarts_on_errors: 3 + """) + + task_config = yaml.safe_load(task_str) + task = sky.Task.from_yaml_config(task_config) + dag = dag_utils.convert_entrypoint_to_dag(task) + dag_utils.fill_default_config_in_dag_for_job_launch(dag) + + resources = list(dag.tasks[0].resources) + assert len(resources) == 1 + assert resources[0].job_recovery['strategy'] == 'FAILOVER' + assert resources[0].job_recovery['max_restarts_on_errors'] == 3 + + task_str = textwrap.dedent("""\ + resources: + cpus: 2+ + job_recovery: + """) + + task_config = yaml.safe_load(task_str) + task = sky.Task.from_yaml_config(task_config) + dag = dag_utils.convert_entrypoint_to_dag(task) + dag_utils.fill_default_config_in_dag_for_job_launch(dag) + + resources = list(dag.tasks[0].resources) + assert len(resources) == 1 + assert resources[0].job_recovery[ + 'strategy'] == jobs.DEFAULT_RECOVERY_STRATEGY + + task_str = textwrap.dedent("""\ + resources: + cpus: 2+ + any_of: + - cpus: 2+ + job_recovery: + max_restarts_on_errors: 3 + - cpus: 4+ + """) + + task_config = yaml.safe_load(task_str) + task = sky.Task.from_yaml_config(task_config) + dag = dag_utils.convert_entrypoint_to_dag(task) + with pytest.raises(ValueError): + dag_utils.fill_default_config_in_dag_for_job_launch(dag) From 9f055f4afea63ca2689e2f64372381adcba828a6 Mon Sep 17 00:00:00 2001 From: Tian Xia Date: Wed, 30 Oct 2024 00:54:03 -0700 Subject: [PATCH 022/152] [Core] Fix job race condition. (#4193) * [Core] Fix job race condition. * fix * simplify url * change to list_jobs * upd ray comments * only store jobs in ray_id_set --- sky/skylet/job_lib.py | 76 +++++++++++++++++++------------------------ 1 file changed, 34 insertions(+), 42 deletions(-) diff --git a/sky/skylet/job_lib.py b/sky/skylet/job_lib.py index 17908a1aec5..12d42d8c79c 100644 --- a/sky/skylet/job_lib.py +++ b/sky/skylet/job_lib.py @@ -512,16 +512,13 @@ def _get_jobs_by_ids(job_ids: List[int]) -> List[Dict[str, Any]]: return records -def _get_pending_jobs(): - rows = _CURSOR.execute( - 'SELECT job_id, created_time, submit FROM pending_jobs') - rows = list(rows) - return { - job_id: { - 'created_time': created_time, - 'submit': submit - } for job_id, created_time, submit in rows - } +def _get_pending_job(job_id: int) -> Optional[Dict[str, Any]]: + rows = _CURSOR.execute('SELECT created_time, submit FROM pending_jobs ' + f'WHERE job_id={job_id!r}') + for row in rows: + created_time, submit = row + return {'created_time': created_time, 'submit': submit} + return None def update_job_status(job_ids: List[int], @@ -535,7 +532,7 @@ def update_job_status(job_ids: List[int], during job cancelling, we still need this to handle the staleness problem, caused by instance restarting and other corner cases (if any). - This function should only be run on the remote instance with ray==2.4.0. + This function should only be run on the remote instance with ray>=2.4.0. """ if len(job_ids) == 0: return [] @@ -547,50 +544,45 @@ def update_job_status(job_ids: List[int], # In ray 2.4.0, job_client.list_jobs returns a list of JobDetails, # which contains the job status (str) and submission_id (str). + ray_job_query_time = time.time() job_detail_lists: List['ray_pydantic.JobDetails'] = job_client.list_jobs() - pending_jobs = _get_pending_jobs() job_details = {} ray_job_ids_set = set(ray_job_ids) for job_detail in job_detail_lists: if job_detail.submission_id in ray_job_ids_set: job_details[job_detail.submission_id] = job_detail - job_statuses: List[Optional[JobStatus]] = [None] * len(ray_job_ids) - for i, ray_job_id in enumerate(ray_job_ids): - job_id = job_ids[i] - if ray_job_id in job_details: - ray_status = job_details[ray_job_id].status - job_statuses[i] = _RAY_TO_JOB_STATUS_MAP[ray_status] - if job_id in pending_jobs: - if pending_jobs[job_id]['created_time'] < psutil.boot_time(): - logger.info( - f'Job {job_id} is stale, setting to FAILED: ' - f'created_time={pending_jobs[job_id]["created_time"]}, ' - f'boot_time={psutil.boot_time()}') - # The job is stale as it is created before the instance - # is booted, e.g. the instance is rebooted. - job_statuses[i] = JobStatus.FAILED - # Gives a 60 second grace period between job being submit from - # the pending table until appearing in ray jobs. - if (pending_jobs[job_id]['submit'] > 0 and - pending_jobs[job_id]['submit'] < - time.time() - _PENDING_SUBMIT_GRACE_PERIOD): - # For jobs submitted outside of the grace period, we will - # consider the ray job status. - continue - else: - # Reset the job status to PENDING even though it may not appear - # in the ray jobs, so that it will not be considered as stale. - job_statuses[i] = JobStatus.PENDING - - assert len(job_statuses) == len(job_ids), (job_statuses, job_ids) statuses = [] - for job_id, status in zip(job_ids, job_statuses): + for job_id, ray_job_id in zip(job_ids, ray_job_ids): # Per-job status lock is required because between the job status # query and the job status update, the job status in the databse # can be modified by the generated ray program. with filelock.FileLock(_get_lock_path(job_id)): + status = None + if ray_job_id in job_details: + ray_status = job_details[ray_job_id].status + status = _RAY_TO_JOB_STATUS_MAP[ray_status] + pending_job = _get_pending_job(job_id) + if pending_job is not None: + if pending_job['created_time'] < psutil.boot_time(): + logger.info(f'Job {job_id} is stale, setting to FAILED: ' + f'created_time={pending_job["created_time"]}, ' + f'boot_time={psutil.boot_time()}') + # The job is stale as it is created before the instance + # is booted, e.g. the instance is rebooted. + status = JobStatus.FAILED + # Gives a 60 second grace period between job being submit from + # the pending table until appearing in ray jobs. For jobs + # submitted outside of the grace period, we will consider the + # ray job status. + if not (pending_job['submit'] > 0 and pending_job['submit'] < + ray_job_query_time - _PENDING_SUBMIT_GRACE_PERIOD): + # Reset the job status to PENDING even though it may not + # appear in the ray jobs, so that it will not be considered + # as stale. + status = JobStatus.PENDING + original_status = get_status_no_lock(job_id) assert original_status is not None, (job_id, status) if status is None: From 9d50f192b262d5f6cc74b5b6644f3a9e3ea31f2f Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Wed, 30 Oct 2024 01:09:39 -0700 Subject: [PATCH 023/152] [Core] Fix issue with the wrong path of setup logs (#4209) * fix issue with a getting setup logs * More conservative * print error * comment --- sky/backends/cloud_vm_ray_backend.py | 16 +++++++++++++--- sky/setup_files/setup.py | 2 +- tests/test_smoke.py | 4 ++-- 3 files changed, 16 insertions(+), 6 deletions(-) diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index 4087dab1240..27e61b5b371 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -3175,9 +3175,19 @@ def _run_setup(setup_cmd: str) -> int: returncode = _run_setup(f'{create_script_code} && {setup_cmd}',) if returncode == 255: is_message_too_long = False - with open(setup_log_path, 'r', encoding='utf-8') as f: - if 'too long' in f.read(): - is_message_too_long = True + try: + with open(os.path.expanduser(setup_log_path), + 'r', + encoding='utf-8') as f: + if 'too long' in f.read(): + is_message_too_long = True + except Exception as e: # pylint: disable=broad-except + # We don't crash the setup if we cannot read the log file. + # Instead, we should retry the setup with dumping the script + # to a file to be safe. + logger.debug('Failed to read setup log file ' + f'{setup_log_path}: {e}') + is_message_too_long = True if is_message_too_long: # If the setup script is too long, we retry it with dumping diff --git a/sky/setup_files/setup.py b/sky/setup_files/setup.py index e73e3ce7740..0fd6978ec03 100644 --- a/sky/setup_files/setup.py +++ b/sky/setup_files/setup.py @@ -153,7 +153,7 @@ def parse_readme(readme: str) -> str: 'tabulate', # Light weight requirement, can be replaced with "typing" once # we deprecate Python 3.7 (this will take a while). - "typing_extensions", + 'typing_extensions', 'filelock >= 3.6.0', 'packaging', 'psutil', diff --git a/tests/test_smoke.py b/tests/test_smoke.py index 4fdeefd12ce..2dcb39ce1c9 100644 --- a/tests/test_smoke.py +++ b/tests/test_smoke.py @@ -3579,7 +3579,7 @@ def test_long_setup_run_script(generic_cloud: str): setup: | echo "start long setup" """)) - for i in range(1024 * 120): + for i in range(1024 * 200): f.write(f' echo {i}\n') f.write(' echo "end long setup"\n') f.write( @@ -3587,7 +3587,7 @@ def test_long_setup_run_script(generic_cloud: str): run: | echo "run" """)) - for i in range(1024 * 120): + for i in range(1024 * 200): f.write(f' echo {i}\n') f.write(' echo "end run"\n') f.flush() From c10fd4262c36d5a008b5aaa6c79d6efe3fad5c0c Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Wed, 30 Oct 2024 09:42:39 -0700 Subject: [PATCH 024/152] [Jobs] Fix jobs name (#4213) * fix issue with a getting setup logs * More conservative * print error * comment * Fix job name --- sky/jobs/state.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sky/jobs/state.py b/sky/jobs/state.py index e60a7cc8fba..fed091bbe54 100644 --- a/sky/jobs/state.py +++ b/sky/jobs/state.py @@ -141,10 +141,10 @@ def _get_db_path() -> str: 'job_id', 'task_id', 'task_name', + 'specs', # columns from the job_info table '_job_info_job_id', # This should be the same as job_id 'job_name', - 'specs', ] From 98a38ecc7f3eae3fb95ed43e5474a9812f51572b Mon Sep 17 00:00:00 2001 From: Yika Date: Wed, 30 Oct 2024 13:33:29 -0700 Subject: [PATCH 025/152] [Performance] Speed up Azure A10 instance creation (#4205) * Use date instead of timestamp in skypilot image names * Speed up Azure A10 VM creation * disable nouveau and use smaller instance * address comments * address comments * add todo --- sky/backends/cloud_vm_ray_backend.py | 9 ----- sky/clouds/azure.py | 9 +++-- sky/clouds/service_catalog/images/README.md | 7 ++-- .../images/provisioners/cuda-azure-grid.sh | 33 +++++++++++++++++++ .../images/skypilot-aws-cpu-ubuntu.pkr.hcl | 4 +-- .../images/skypilot-aws-gpu-ubuntu.pkr.hcl | 4 +-- .../images/skypilot-azure-cpu-ubuntu.pkr.hcl | 5 +-- .../images/skypilot-azure-gpu-ubuntu.pkr.hcl | 20 +++++++---- .../images/skypilot-gcp-cpu-ubuntu.pkr.hcl | 4 +-- .../images/skypilot-gcp-gpu-ubuntu.pkr.hcl | 4 +-- sky/provision/azure/instance.py | 28 +++------------- sky/templates/azure-ray.yml.j2 | 1 - 12 files changed, 69 insertions(+), 59 deletions(-) create mode 100644 sky/clouds/service_catalog/images/provisioners/cuda-azure-grid.sh diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index 27e61b5b371..b0a064afe7c 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -1950,17 +1950,8 @@ def provision_with_retries( failover_history: List[Exception] = list() - style = colorama.Style - fore = colorama.Fore # Retrying launchable resources. while True: - if (isinstance(to_provision.cloud, clouds.Azure) and - to_provision.accelerators is not None and - 'A10' in to_provision.accelerators and prev_handle is None): - logger.warning(f'{style.BRIGHT}{fore.YELLOW}Trying to launch ' - 'an A10 cluster on Azure. This may take ~20 ' - 'minutes due to driver installation.' - f'{style.RESET_ALL}') try: # Recheck cluster name as the 'except:' block below may # change the cloud assignment. diff --git a/sky/clouds/azure.py b/sky/clouds/azure.py index cc90f273dd9..edd5840d271 100644 --- a/sky/clouds/azure.py +++ b/sky/clouds/azure.py @@ -44,6 +44,8 @@ _DEFAULT_V1_IMAGE_ID = 'skypilot:custom-gpu-ubuntu-v1' _DEFAULT_GPU_K80_IMAGE_ID = 'skypilot:k80-ubuntu-2004' _FALLBACK_IMAGE_ID = 'skypilot:gpu-ubuntu-2204' +# This is used by Azure GPU VMs that use grid drivers (e.g. A10). +_DEFAULT_GPU_GRID_IMAGE_ID = 'skypilot:custom-gpu-ubuntu-v2-grid' _COMMUNITY_IMAGE_PREFIX = '/CommunityGalleries' @@ -220,6 +222,8 @@ def _get_default_image_tag(self, gen_version, instance_type) -> str: acc_name = list(acc.keys())[0] if acc_name == 'K80': return _DEFAULT_GPU_K80_IMAGE_ID + if acc_name == 'A10': + return _DEFAULT_GPU_GRID_IMAGE_ID # About Gen V1 vs V2: # In Azure, all instances with K80 (Standard_NC series), some # instances with M60 (Standard_NV series) and some cpu instances @@ -350,10 +354,6 @@ def make_deploy_resources_variables( 'image_version': version, } - # Setup the A10 nvidia driver. - need_nvidia_driver_extension = (acc_dict is not None and - 'A10' in acc_dict) - # Determine resource group for deploying the instance. resource_group_name = skypilot_config.get_nested( ('azure', 'resource_group_vm'), None) @@ -413,7 +413,6 @@ def _failover_disk_tier() -> Optional[resources_utils.DiskTier]: # Azure does not support specific zones. 'zones': None, **image_config, - 'need_nvidia_driver_extension': need_nvidia_driver_extension, 'disk_tier': Azure._get_disk_type(disk_tier), 'cloud_init_setup_commands': cloud_init_setup_commands, 'azure_subscription_id': self.get_project_id(dryrun), diff --git a/sky/clouds/service_catalog/images/README.md b/sky/clouds/service_catalog/images/README.md index 2323c1b0104..32f91fc67fb 100644 --- a/sky/clouds/service_catalog/images/README.md +++ b/sky/clouds/service_catalog/images/README.md @@ -59,9 +59,10 @@ export SECRET=xxxxxx # Update this ``` 2. Build and copy images for all regions for GPU (gen 1 & 2) and CPU (gen 2 only). ```bash -export TYPE=gpu # Update this -export VM_GENERATION=1 # Update this -packer build --var vm_generation=${VM_GENERATION} --var client_secret=${SECRET} skypilot-azure-${TYPE}-ubuntu.pkr.hcl +packer build --var vm_generation=2 --var client_secret=${SECRET} skypilot-azure-cpu-ubuntu.pkr.hcl +packer build --var vm_generation=2 --var client_secret=${SECRET} skypilot-azure-gpu-ubuntu.pkr.hcl +packer build --var vm_generation=1 --var client_secret=${SECRET} skypilot-azure-gpu-ubuntu.pkr.hcl +packer build --var vm_generation=2 --var client_secret=${SECRET} --var use_grid_driver=true skypilot-azure-gpu-ubuntu.pkr.hcl ``` ## Test Images diff --git a/sky/clouds/service_catalog/images/provisioners/cuda-azure-grid.sh b/sky/clouds/service_catalog/images/provisioners/cuda-azure-grid.sh new file mode 100644 index 00000000000..6177dfa5d53 --- /dev/null +++ b/sky/clouds/service_catalog/images/provisioners/cuda-azure-grid.sh @@ -0,0 +1,33 @@ +#!/bin/bash + +sudo apt update +sudo apt install -y build-essential + +echo "Installing GRID driver..." +GRID_DRIVER_URL="https://download.microsoft.com/download/8/d/a/8da4fb8e-3a9b-4e6a-bc9a-72ff64d7a13c/NVIDIA-Linux-x86_64-535.161.08-grid-azure.run" +GRID_DRIVER_FILE="NVIDIA-Linux-x86_64-535.161.08-grid-azure.run" + +wget -nv $GRID_DRIVER_URL -O $GRID_DRIVER_FILE +sudo chmod +x $GRID_DRIVER_FILE +sudo sh $GRID_DRIVER_FILE --silent --disable-nouveau + +echo "Set vGPU Licensing Daemon config..." +sudo cp /etc/nvidia/gridd.conf.template /etc/nvidia/gridd.conf +sudo sed -i '/^FeatureType=0/s/^/# /' /etc/nvidia/gridd.conf +echo "IgnoreSP=FALSE" | sudo tee -a /etc/nvidia/gridd.conf +echo "EnableUI=FALSE" | sudo tee -a /etc/nvidia/gridd.conf + +echo "Installing CUDA toolkit..." +CUDA_TOOLKIT_URL="https://developer.download.nvidia.com/compute/cuda/12.2.0/local_installers/cuda_12.2.0_535.54.03_linux.run" +CUDA_TOOLKIT_FILE="cuda_12.2.0_535.54.03_linux.run" +wget -nv $CUDA_TOOLKIT_URL -O $CUDA_TOOLKIT_FILE +sudo sh $CUDA_TOOLKIT_FILE --silent --toolkit --override + +# Set environment variables +echo 'export PATH=$PATH:/usr/local/cuda-12.2/bin' >> ~/.bashrc +echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-12.2/lib64' >> ~/.bashrc +source ~/.bashrc + +# Verify installations +rm -f NVIDIA-Linux-x86_64-535.161.08-grid-azure.run cuda_12.2.0_535.54.03_linux.run +nvidia-smi diff --git a/sky/clouds/service_catalog/images/skypilot-aws-cpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-aws-cpu-ubuntu.pkr.hcl index 0e2f74c5355..5611b589cf9 100644 --- a/sky/clouds/service_catalog/images/skypilot-aws-cpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-aws-cpu-ubuntu.pkr.hcl @@ -4,11 +4,11 @@ variable "region" { } locals { - timestamp = regex_replace(timestamp(), "[- TZ:]", "") + date = formatdate("YYMMDD", timestamp()) } source "amazon-ebs" "cpu-ubuntu" { - ami_name = "skypilot-aws-cpu-ubuntu-${local.timestamp}" + ami_name = "skypilot-aws-cpu-ubuntu-${local.date}" instance_type = "t2.micro" region = var.region ssh_username = "ubuntu" diff --git a/sky/clouds/service_catalog/images/skypilot-aws-gpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-aws-gpu-ubuntu.pkr.hcl index 40ca77f49a0..91aad2aa71e 100644 --- a/sky/clouds/service_catalog/images/skypilot-aws-gpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-aws-gpu-ubuntu.pkr.hcl @@ -4,11 +4,11 @@ variable "region" { } locals { - timestamp = regex_replace(timestamp(), "[- TZ:]", "") + date = formatdate("YYMMDD", timestamp()) } source "amazon-ebs" "gpu-ubuntu" { - ami_name = "skypilot-aws-gpu-ubuntu-${local.timestamp}" + ami_name = "skypilot-aws-gpu-ubuntu-${local.date}" instance_type = "g6.xlarge" region = var.region ssh_username = "ubuntu" diff --git a/sky/clouds/service_catalog/images/skypilot-azure-cpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-azure-cpu-ubuntu.pkr.hcl index 0b7dd18188d..dd08e1baef7 100644 --- a/sky/clouds/service_catalog/images/skypilot-azure-cpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-azure-cpu-ubuntu.pkr.hcl @@ -9,13 +9,14 @@ variable "vm_generation" { } locals { - timestamp = regex_replace(timestamp(), "[- TZ:]", "") + date = formatdate("YYMMDD", timestamp()) version = formatdate("YY.MM.DD", timestamp()) } source "azure-arm" "cpu-ubuntu" { managed_image_resource_group_name = "skypilot-images" - managed_image_name = "skypilot-azure-cpu-ubuntu-${local.timestamp}" + // TODO(yika): these fields may not be required as we use community images below instead. We need to double-check if these can be removed. + managed_image_name = "skypilot-azure-cpu-ubuntu-${local.date}" subscription_id = "59d8c23c-7ef5-42c7-b2f3-a919ad8026a7" tenant_id = "7c81f068-46f8-4b26-9a46-2fbec2287e3d" diff --git a/sky/clouds/service_catalog/images/skypilot-azure-gpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-azure-gpu-ubuntu.pkr.hcl index e5901d4107f..d66125cfffb 100644 --- a/sky/clouds/service_catalog/images/skypilot-azure-gpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-azure-gpu-ubuntu.pkr.hcl @@ -8,14 +8,20 @@ variable "vm_generation" { description = "Azure's VM generation, currently support 1 or 2" } +variable "use_grid_driver" { + type = bool + default = false + description = "Whether to use the Azure GRID driver. Currently only A10 GPU VMs need this." +} + locals { - timestamp = regex_replace(timestamp(), "[- TZ:]", "") + date = formatdate("YYMMDD", timestamp()) version = formatdate("YY.MM.DD", timestamp()) } source "azure-arm" "gpu-ubuntu" { managed_image_resource_group_name = "skypilot-images" - managed_image_name = "skypilot-azure-gpu-ubuntu-${local.timestamp}" + managed_image_name = "skypilot-azure-gpu-ubuntu-${local.date}" subscription_id = "59d8c23c-7ef5-42c7-b2f3-a919ad8026a7" tenant_id = "7c81f068-46f8-4b26-9a46-2fbec2287e3d" @@ -26,8 +32,8 @@ source "azure-arm" "gpu-ubuntu" { image_publisher = "Canonical" image_offer = "0001-com-ubuntu-server-jammy" image_sku = var.vm_generation == 1 ? "22_04-lts" : "22_04-lts-gen2" - location = var.vm_generation == 1 ? "eastus" : "centralus" - vm_size = var.vm_generation == 1 ? "Standard_NC4as_T4_v3" : "Standard_NC24ads_A100_v4" + location = var.use_grid_driver || var.vm_generation == 1 ? "eastus" : "centralus" + vm_size = var.use_grid_driver ? "Standard_NV12ads_A10_v5" : (var.vm_generation == 1 ? "Standard_NC4as_T4_v3" : "Standard_NC24ads_A100_v4") ssh_username = "azureuser" azure_tags = { Created_by = "packer" @@ -37,8 +43,8 @@ source "azure-arm" "gpu-ubuntu" { shared_image_gallery_destination { subscription = "59d8c23c-7ef5-42c7-b2f3-a919ad8026a7" resource_group = "skypilot-images" - gallery_name = var.vm_generation == 1 ? "skypilot_images": "skypilot_image_gallery" - image_name = "skypilot-gpu-gen${var.vm_generation}" + gallery_name = var.use_grid_driver || var.vm_generation == 1 ? "skypilot_images" : "skypilot_image_gallery" + image_name = var.use_grid_driver ? "skypilot-gpu-gen2-grid" : "skypilot-gpu-gen${var.vm_generation}" image_version = "${local.version}" replication_regions = [ "centralus", @@ -61,7 +67,7 @@ build { script = "./provisioners/docker.sh" } provisioner "shell" { - script = "./provisioners/cuda.sh" + script = var.use_grid_driver ? "./provisioners/cuda-azure-grid.sh" : "./provisioners/cuda.sh" } provisioner "shell" { script = "./provisioners/nvidia-container-toolkit.sh" diff --git a/sky/clouds/service_catalog/images/skypilot-gcp-cpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-gcp-cpu-ubuntu.pkr.hcl index 3c56e3d5af6..056f2d1239e 100644 --- a/sky/clouds/service_catalog/images/skypilot-gcp-cpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-gcp-cpu-ubuntu.pkr.hcl @@ -1,11 +1,11 @@ locals { - timestamp = regex_replace(timestamp(), "[- TZ:]", "") + date = formatdate("YYMMDD", timestamp()) } source "googlecompute" "cpu-ubuntu" { project_id = "sky-dev-465" - image_name = "skypilot-gcp-cpu-ubuntu-${local.timestamp}" + image_name = "skypilot-gcp-cpu-ubuntu-${local.date}" source_image_family = "ubuntu-2204-lts" zone = "us-west1-a" image_description = "SkyPilot custom image for launching GCP CPU instances." diff --git a/sky/clouds/service_catalog/images/skypilot-gcp-gpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-gcp-gpu-ubuntu.pkr.hcl index 578c0b1269f..8d57456b29b 100644 --- a/sky/clouds/service_catalog/images/skypilot-gcp-gpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-gcp-gpu-ubuntu.pkr.hcl @@ -4,11 +4,11 @@ variable "zone" { } locals { - timestamp = regex_replace(timestamp(), "[- TZ:]", "") + date = formatdate("YYMMDD", timestamp()) } source "googlecompute" "gpu-ubuntu" { - image_name = "skypilot-gcp-gpu-ubuntu-${local.timestamp}" + image_name = "skypilot-gcp-gpu-ubuntu-${local.date}" project_id = "sky-dev-465" source_image_family = "ubuntu-2204-lts" zone = var.zone diff --git a/sky/provision/azure/instance.py b/sky/provision/azure/instance.py index 24ba012ea9e..60159232787 100644 --- a/sky/provision/azure/instance.py +++ b/sky/provision/azure/instance.py @@ -311,30 +311,10 @@ def _create_vm( vm_name=vm_name, parameters=vm_instance, ) - # poller.result() will block on async operation until it's done. - logger.info(f'Created VM {vm_poller.result().name}.') - # Configure driver extension for A10 GPUs. A10 GPUs requires a - # special type of drivers which is available at Microsoft HPC - # extension. Reference: - # https://forums.developer.nvidia.com/t/ubuntu-22-04-installation-driver-error-nvidia-a10/285195/2 - # This can take more than 20mins for setting up the A10 GPUs - if node_config.get('need_nvidia_driver_extension', False): - ext_poller = compute_client.virtual_machine_extensions.\ - begin_create_or_update( - resource_group_name=provider_config['resource_group'], - vm_name=vm_name, - vm_extension_name='NvidiaGpuDriverLinux', - extension_parameters=compute.VirtualMachineExtension( - location=provider_config['location'], - publisher='Microsoft.HpcCompute', - type_properties_type='NvidiaGpuDriverLinux', - type_handler_version='1.9', - auto_upgrade_minor_version=True, - settings='{}')) - logger.info( - f'Created VM extension {ext_poller.result().name} for VM {vm_name}.' - ) - return vm_poller.result() + # This line will block until the VM is created or the operation times out. + vm = vm_poller.result() + logger.info(f'Created VM {vm.name}.') + return vm def _create_instances(compute_client: 'azure_compute.ComputeManagementClient', diff --git a/sky/templates/azure-ray.yml.j2 b/sky/templates/azure-ray.yml.j2 index 36bf9468b23..7b9737748d3 100644 --- a/sky/templates/azure-ray.yml.j2 +++ b/sky/templates/azure-ray.yml.j2 @@ -83,7 +83,6 @@ available_node_types: {%- for cmd in cloud_init_setup_commands %} {{ cmd }} {%- endfor %} - need_nvidia_driver_extension: {{need_nvidia_driver_extension}} {%- if disk_performance_tier is not none %} disk_performance_tier: {{disk_performance_tier}} {%- endif %} From 104b9386358db10fe51381ded151242015dc9fde Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Wed, 30 Oct 2024 14:16:30 -0700 Subject: [PATCH 026/152] [Tests] Fix public bucket tests (#4216) fix --- examples/managed_job_with_storage.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/examples/managed_job_with_storage.yaml b/examples/managed_job_with_storage.yaml index 677e2c8ed6d..77b69485269 100644 --- a/examples/managed_job_with_storage.yaml +++ b/examples/managed_job_with_storage.yaml @@ -26,8 +26,8 @@ file_mounts: name: sky-output-bucket mode: MOUNT - /imagenet-image: - source: s3://sky-imagenet-data + /public-bucket: + source: s3://fah-public-data-covid19-cryptic-pockets # File mounts for folder /tmp/workdir: ~/tmp-workdir @@ -49,7 +49,7 @@ run: | set -ex ls ~/sky_workdir/managed_job_with_storage.yaml ls ~/bucket_workdir/managed_job_with_storage.yaml - ls -l /imagenet-image/datasets + ls -l /public-bucket mkdir -p /data/logs From 276035b4b539205eafa5b05488c2cc5b5a21a9db Mon Sep 17 00:00:00 2001 From: Tian Xia Date: Wed, 30 Oct 2024 15:31:52 -0700 Subject: [PATCH 027/152] [Catalog] Add TPU V6e. (#4218) * [Catalog] Add TPU V6e. * swap if else branch --- .../data_fetchers/fetch_gcp.py | 54 +++++++++++++++++-- 1 file changed, 51 insertions(+), 3 deletions(-) diff --git a/sky/clouds/service_catalog/data_fetchers/fetch_gcp.py b/sky/clouds/service_catalog/data_fetchers/fetch_gcp.py index 6550c6bbe64..8cc9fc6c127 100644 --- a/sky/clouds/service_catalog/data_fetchers/fetch_gcp.py +++ b/sky/clouds/service_catalog/data_fetchers/fetch_gcp.py @@ -47,6 +47,10 @@ TPU_V4_ZONES = ['us-central2-b'] # TPU v3 pods are available in us-east1-d, but hidden in the skus. # We assume the TPU prices are the same as us-central1. +# TPU v6e's pricing info is not available on the SKUs. However, in +# https://cloud.google.com/tpu/pricing, it listed the price for 4 regions: +# us-east1, us-east5, europe-west4, and asia-northeast1. We hardcode them here +# and filtered out the other regions (us-central{1,2}, us-south1). HIDDEN_TPU_DF = pd.read_csv( io.StringIO( textwrap.dedent("""\ @@ -58,8 +62,50 @@ ,tpu-v3-512,1,,,tpu-v3-512,512.0,153.6,us-east1,us-east1-d ,tpu-v3-1024,1,,,tpu-v3-1024,1024.0,307.2,us-east1,us-east1-d ,tpu-v3-2048,1,,,tpu-v3-2048,2048.0,614.4,us-east1,us-east1-d + ,tpu-v6e-1,1,,,tpu-v6e-1,2.7,,us-east5,us-east5-b + ,tpu-v6e-1,1,,,tpu-v6e-1,2.7,,us-east5,us-east5-c + ,tpu-v6e-1,1,,,tpu-v6e-1,2.97,,europe-west4,europe-west4-a + ,tpu-v6e-1,1,,,tpu-v6e-1,3.24,,asia-northeast1,asia-northeast1-b + ,tpu-v6e-1,1,,,tpu-v6e-1,2.7,,us-east1,us-east1-d + ,tpu-v6e-4,1,,,tpu-v6e-4,10.8,,us-east5,us-east5-b + ,tpu-v6e-4,1,,,tpu-v6e-4,10.8,,us-east5,us-east5-c + ,tpu-v6e-4,1,,,tpu-v6e-4,11.88,,europe-west4,europe-west4-a + ,tpu-v6e-4,1,,,tpu-v6e-4,12.96,,asia-northeast1,asia-northeast1-b + ,tpu-v6e-4,1,,,tpu-v6e-4,10.8,,us-east1,us-east1-d + ,tpu-v6e-8,1,,,tpu-v6e-8,21.6,,us-east5,us-east5-b + ,tpu-v6e-8,1,,,tpu-v6e-8,21.6,,us-east5,us-east5-c + ,tpu-v6e-8,1,,,tpu-v6e-8,23.76,,europe-west4,europe-west4-a + ,tpu-v6e-8,1,,,tpu-v6e-8,25.92,,asia-northeast1,asia-northeast1-b + ,tpu-v6e-8,1,,,tpu-v6e-8,21.6,,us-east1,us-east1-d + ,tpu-v6e-16,1,,,tpu-v6e-16,43.2,,us-east5,us-east5-b + ,tpu-v6e-16,1,,,tpu-v6e-16,43.2,,us-east5,us-east5-c + ,tpu-v6e-16,1,,,tpu-v6e-16,47.52,,europe-west4,europe-west4-a + ,tpu-v6e-16,1,,,tpu-v6e-16,51.84,,asia-northeast1,asia-northeast1-b + ,tpu-v6e-16,1,,,tpu-v6e-16,43.2,,us-east1,us-east1-d + ,tpu-v6e-32,1,,,tpu-v6e-32,86.4,,us-east5,us-east5-b + ,tpu-v6e-32,1,,,tpu-v6e-32,86.4,,us-east5,us-east5-c + ,tpu-v6e-32,1,,,tpu-v6e-32,95.04,,europe-west4,europe-west4-a + ,tpu-v6e-32,1,,,tpu-v6e-32,103.68,,asia-northeast1,asia-northeast1-b + ,tpu-v6e-32,1,,,tpu-v6e-32,86.4,,us-east1,us-east1-d + ,tpu-v6e-64,1,,,tpu-v6e-64,172.8,,us-east5,us-east5-b + ,tpu-v6e-64,1,,,tpu-v6e-64,172.8,,us-east5,us-east5-c + ,tpu-v6e-64,1,,,tpu-v6e-64,190.08,,europe-west4,europe-west4-a + ,tpu-v6e-64,1,,,tpu-v6e-64,207.36,,asia-northeast1,asia-northeast1-b + ,tpu-v6e-64,1,,,tpu-v6e-64,172.8,,us-east1,us-east1-d + ,tpu-v6e-128,1,,,tpu-v6e-128,345.6,,us-east5,us-east5-b + ,tpu-v6e-128,1,,,tpu-v6e-128,345.6,,us-east5,us-east5-c + ,tpu-v6e-128,1,,,tpu-v6e-128,380.16,,europe-west4,europe-west4-a + ,tpu-v6e-128,1,,,tpu-v6e-128,414.72,,asia-northeast1,asia-northeast1-b + ,tpu-v6e-128,1,,,tpu-v6e-128,345.6,,us-east1,us-east1-d + ,tpu-v6e-256,1,,,tpu-v6e-256,691.2,,us-east5,us-east5-b + ,tpu-v6e-256,1,,,tpu-v6e-256,691.2,,us-east5,us-east5-c + ,tpu-v6e-256,1,,,tpu-v6e-256,760.32,,europe-west4,europe-west4-a + ,tpu-v6e-256,1,,,tpu-v6e-256,829.44,,asia-northeast1,asia-northeast1-b + ,tpu-v6e-256,1,,,tpu-v6e-256,691.2,,us-east1,us-east1-d """))) +TPU_V6E_MISSING_REGIONS = ['us-central1', 'us-central2', 'us-south1'] + # TPU V5 is not visible in specific zones. We hardcode the missing zones here. # NOTE(dev): Keep the zones and the df in sync. TPU_V5_MISSING_ZONES_DF = { @@ -683,11 +729,13 @@ def get_tpu_price(row: pd.Series, spot: bool) -> Optional[float]: 'not found in SKUs or hidden TPU price DF.') # TODO(tian): Hack. Should investigate how to retrieve the price # for TPU-v6e. - if not tpu_name.startswith('tpu-v6e'): + if (tpu_name.startswith('tpu-v6e') and + tpu_region in TPU_V6E_MISSING_REGIONS): + if not spot: + tpu_price = 0.0 + else: assert spot or tpu_price is not None, (row, hidden_tpu, HIDDEN_TPU_DF) - else: - tpu_price = 0.0 return tpu_price df['Price'] = df.apply(lambda row: get_tpu_price(row, spot=False), axis=1) From 8568ac4aeefce766ef8102869b509c801050d2b4 Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Wed, 30 Oct 2024 15:55:25 -0700 Subject: [PATCH 028/152] [test] smoke test fixes for managed jobs (#4217) * [test] don't wait for old pending jobs controller messages `sky jobs queue` used to output a temporary "waiting" message while the managed jobs controller was still being provisioned/starting. Since #3288 this is not shown, and instead the queued jobs themselves will show PENDING/STARTING. This also requires some changes to tests to permit the PENDING and STARTING states for managed jobs. * fix default aws region * [test] wait for RECOVERING more quickly Smoke tests were failing because some managed jobs were fulling recovering back to the RUNNING state before the smoke test could catch the RECOVERING case (see e.g. #4192 `test_managed_jobs_cancellation_gcp`). Change tests that manually terminate a managed job instance, so that they will wait for the managed job to change away from the RUNNING state, checking every 10s. * address PR comments * fix --- tests/conftest.py | 2 +- tests/test_smoke.py | 221 +++++++++++++++++++++----------------------- 2 files changed, 108 insertions(+), 115 deletions(-) diff --git a/tests/conftest.py b/tests/conftest.py index bb79abfe61e..aa0d0c88289 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -206,7 +206,7 @@ def enable_all_clouds(monkeypatch: pytest.MonkeyPatch) -> None: @pytest.fixture def aws_config_region(monkeypatch: pytest.MonkeyPatch) -> str: from sky import skypilot_config - region = 'us-west-2' + region = 'us-east-2' if skypilot_config.loaded(): ssh_proxy_command = skypilot_config.get_nested( ('aws', 'ssh_proxy_command'), None) diff --git a/tests/test_smoke.py b/tests/test_smoke.py index 2dcb39ce1c9..cfe7652e693 100644 --- a/tests/test_smoke.py +++ b/tests/test_smoke.py @@ -85,24 +85,15 @@ 'touch ~/.ssh/id_rsa.pub' ] -# Wait until the jobs controller is not in INIT state. -# This is a workaround for the issue that when multiple job tests -# are running in parallel, the jobs controller may be in INIT and -# the job queue/cancel command will return staled table. -_JOB_QUEUE_WAIT = ('s=$(sky jobs queue); ' - 'until ! echo "$s" | grep "jobs will not be shown until"; ' - 'do echo "Waiting for job queue to be ready..."; ' - 'sleep 5; s=$(sky jobs queue); done; echo "$s"; ' - 'echo; echo; echo "$s"') -_JOB_CANCEL_WAIT = ( - 's=$(sky jobs cancel -y -n {job_name}); ' - 'until ! echo "$s" | grep "Please wait for the controller to be ready."; ' - 'do echo "Waiting for the jobs controller ' - 'to be ready"; sleep 5; s=$(sky jobs cancel -y -n {job_name}); ' - 'done; echo "$s"; echo; echo; echo "$s"') -# TODO(zhwu): make the jobs controller on GCP, to avoid parallel test issues -# when the controller being on Azure, which takes a long time for launching -# step. +# Get the job queue, and print it once on its own, then print it again to +# use with grep by the caller. +_GET_JOB_QUEUE = 's=$(sky jobs queue); echo "$s"; echo "$s"' +# Wait for a job to be not in RUNNING state. Used to check for RECOVERING. +_JOB_WAIT_NOT_RUNNING = ( + 's=$(sky jobs queue);' + 'until ! echo "$s" | grep "{job_name}" | grep "RUNNING"; do ' + 'sleep 10; s=$(sky jobs queue);' + 'echo "Waiting for job to stop RUNNING"; echo "$s"; done') DEFAULT_CMD_TIMEOUT = 15 * 60 @@ -2643,6 +2634,9 @@ def test_stop_gcp_spot(): # ---------- Testing managed job ---------- +# TODO(zhwu): make the jobs controller on GCP, to avoid parallel test issues +# when the controller being on Azure, which takes a long time for launching +# step. @pytest.mark.managed_jobs def test_managed_jobs(generic_cloud: str): """Test the managed jobs yaml.""" @@ -2653,22 +2647,21 @@ def test_managed_jobs(generic_cloud: str): f'sky jobs launch -n {name}-1 --cloud {generic_cloud} examples/managed_job.yaml -y -d', f'sky jobs launch -n {name}-2 --cloud {generic_cloud} examples/managed_job.yaml -y -d', 'sleep 5', - f'{_JOB_QUEUE_WAIT}| grep {name}-1 | head -n1 | grep "STARTING\|RUNNING"', - f'{_JOB_QUEUE_WAIT}| grep {name}-2 | head -n1 | grep "STARTING\|RUNNING"', - _JOB_CANCEL_WAIT.format(job_name=f'{name}-1'), + f'{_GET_JOB_QUEUE} | grep {name}-1 | head -n1 | grep "PENDING\|SUBMITTED\|STARTING\|RUNNING"', + f'{_GET_JOB_QUEUE} | grep {name}-2 | head -n1 | grep "PENDING\|SUBMITTED\|STARTING\|RUNNING"', + f'sky jobs cancel -y -n {name}-1', 'sleep 5', - f'{_JOB_QUEUE_WAIT}| grep {name}-1 | head -n1 | grep "CANCELLING\|CANCELLED"', + f'{_GET_JOB_QUEUE} | grep {name}-1 | head -n1 | grep "CANCELLING\|CANCELLED"', 'sleep 200', - f'{_JOB_QUEUE_WAIT}| grep {name}-1 | head -n1 | grep CANCELLED', + f'{_GET_JOB_QUEUE} | grep {name}-1 | head -n1 | grep CANCELLED', # Test the functionality for logging. f's=$(sky jobs logs -n {name}-2 --no-follow); echo "$s"; echo "$s" | grep "start counting"', f's=$(sky jobs logs --controller -n {name}-2 --no-follow); echo "$s"; echo "$s" | grep "Cluster launched:"', - f'{_JOB_QUEUE_WAIT}| grep {name}-2 | head -n1 | grep "RUNNING\|SUCCEEDED"', + f'{_GET_JOB_QUEUE} | grep {name}-2 | head -n1 | grep "RUNNING\|SUCCEEDED"', ], - # TODO(zhwu): Change to _JOB_CANCEL_WAIT.format(job_name=f'{name}-1 -n {name}-2') when + # TODO(zhwu): Change to f'sky jobs cancel -y -n {name}-1 -n {name}-2' when # canceling multiple job names is supported. - (_JOB_CANCEL_WAIT.format(job_name=f'{name}-1') + '; ' + - _JOB_CANCEL_WAIT.format(job_name=f'{name}-2')), + f'sky jobs cancel -y -n {name}-1; sky jobs cancel -y -n {name}-2', # Increase timeout since sky jobs queue -r can be blocked by other spot tests. timeout=20 * 60, ) @@ -2690,26 +2683,26 @@ def test_job_pipeline(generic_cloud: str): [ f'sky jobs launch -n {name} tests/test_yamls/pipeline.yaml -y -d', 'sleep 5', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "STARTING\|RUNNING"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "STARTING\|RUNNING"', # `grep -A 4 {name}` finds the job with {name} and the 4 lines # after it, i.e. the 4 tasks within the job. # `sed -n 2p` gets the second line of the 4 lines, i.e. the first # task within the job. - f'{_JOB_QUEUE_WAIT}| grep -A 4 {name}| sed -n 2p | grep "STARTING\|RUNNING"', - f'{_JOB_QUEUE_WAIT}| grep -A 4 {name}| sed -n 3p | grep "PENDING"', - _JOB_CANCEL_WAIT.format(job_name=f'{name}'), + f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 2p | grep "STARTING\|RUNNING"', + f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 3p | grep "PENDING"', + f'sky jobs cancel -y -n {name}', 'sleep 5', - f'{_JOB_QUEUE_WAIT}| grep -A 4 {name}| sed -n 2p | grep "CANCELLING\|CANCELLED"', - f'{_JOB_QUEUE_WAIT}| grep -A 4 {name}| sed -n 3p | grep "CANCELLING\|CANCELLED"', - f'{_JOB_QUEUE_WAIT}| grep -A 4 {name}| sed -n 4p | grep "CANCELLING\|CANCELLED"', - f'{_JOB_QUEUE_WAIT}| grep -A 4 {name}| sed -n 5p | grep "CANCELLING\|CANCELLED"', + f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 2p | grep "CANCELLING\|CANCELLED"', + f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 3p | grep "CANCELLING\|CANCELLED"', + f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 4p | grep "CANCELLING\|CANCELLED"', + f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 5p | grep "CANCELLING\|CANCELLED"', 'sleep 200', - f'{_JOB_QUEUE_WAIT}| grep -A 4 {name}| sed -n 2p | grep "CANCELLED"', - f'{_JOB_QUEUE_WAIT}| grep -A 4 {name}| sed -n 3p | grep "CANCELLED"', - f'{_JOB_QUEUE_WAIT}| grep -A 4 {name}| sed -n 4p | grep "CANCELLED"', - f'{_JOB_QUEUE_WAIT}| grep -A 4 {name}| sed -n 5p | grep "CANCELLED"', + f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 2p | grep "CANCELLED"', + f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 3p | grep "CANCELLED"', + f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 4p | grep "CANCELLED"', + f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 5p | grep "CANCELLED"', ], - _JOB_CANCEL_WAIT.format(job_name=f'{name}'), + f'sky jobs cancel -y -n {name}', # Increase timeout since sky jobs queue -r can be blocked by other spot tests. timeout=30 * 60, ) @@ -2732,9 +2725,9 @@ def test_managed_jobs_failed_setup(generic_cloud: str): f'sky jobs launch -n {name} --cloud {generic_cloud} -y -d tests/test_yamls/failed_setup.yaml', 'sleep 330', # Make sure the job failed quickly. - f'{_JOB_QUEUE_WAIT} | grep {name} | head -n1 | grep "FAILED_SETUP"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "FAILED_SETUP"', ], - _JOB_CANCEL_WAIT.format(job_name=name), + f'sky jobs cancel -y -n {name}', # Increase timeout since sky jobs queue -r can be blocked by other spot tests. timeout=20 * 60, ) @@ -2757,17 +2750,17 @@ def test_managed_jobs_pipeline_failed_setup(generic_cloud: str): f'sky jobs launch -n {name} -y -d tests/test_yamls/failed_setup_pipeline.yaml', 'sleep 600', # Make sure the job failed quickly. - f'{_JOB_QUEUE_WAIT} | grep {name} | head -n1 | grep "FAILED_SETUP"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "FAILED_SETUP"', # Task 0 should be SUCCEEDED. - f'{_JOB_QUEUE_WAIT} | grep -A 4 {name}| sed -n 2p | grep "SUCCEEDED"', + f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 2p | grep "SUCCEEDED"', # Task 1 should be FAILED_SETUP. - f'{_JOB_QUEUE_WAIT} | grep -A 4 {name}| sed -n 3p | grep "FAILED_SETUP"', + f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 3p | grep "FAILED_SETUP"', # Task 2 should be CANCELLED. - f'{_JOB_QUEUE_WAIT} | grep -A 4 {name}| sed -n 4p | grep "CANCELLED"', + f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 4p | grep "CANCELLED"', # Task 3 should be CANCELLED. - f'{_JOB_QUEUE_WAIT} | grep -A 4 {name}| sed -n 5p | grep "CANCELLED"', + f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 5p | grep "CANCELLED"', ], - _JOB_CANCEL_WAIT.format(job_name=name), + f'sky jobs cancel -y -n {name}', # Increase timeout since sky jobs queue -r can be blocked by other spot tests. timeout=30 * 60, ) @@ -2790,7 +2783,7 @@ def test_managed_jobs_recovery_aws(aws_config_region): [ f'sky jobs launch --cloud aws --region {region} --use-spot -n {name} "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', 'sleep 360', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RUNNING"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', # Terminate the cluster manually. (f'aws ec2 terminate-instances --region {region} --instance-ids $(' @@ -2798,13 +2791,13 @@ def test_managed_jobs_recovery_aws(aws_config_region): f'--filters Name=tag:ray-cluster-name,Values={name_on_cloud}* ' f'--query Reservations[].Instances[].InstanceId ' '--output text)'), - 'sleep 100', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RECOVERING"', + _JOB_WAIT_NOT_RUNNING.format(job_name=name), + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', 'sleep 200', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RUNNING"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', f'RUN_ID=$(cat /tmp/{name}-run-id); echo "$RUN_ID"; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | grep "$RUN_ID"', ], - _JOB_CANCEL_WAIT.format(job_name=name), + f'sky jobs cancel -y -n {name}', timeout=25 * 60, ) run_one_test(test) @@ -2830,17 +2823,17 @@ def test_managed_jobs_recovery_gcp(): [ f'sky jobs launch --cloud gcp --zone {zone} -n {name} --use-spot --cpus 2 "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', 'sleep 360', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RUNNING"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', # Terminate the cluster manually. terminate_cmd, - 'sleep 60', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RECOVERING"', + _JOB_WAIT_NOT_RUNNING.format(job_name=name), + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', 'sleep 200', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RUNNING"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', f'RUN_ID=$(cat /tmp/{name}-run-id); echo "$RUN_ID"; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | grep "$RUN_ID"', ], - _JOB_CANCEL_WAIT.format(job_name=name), + f'sky jobs cancel -y -n {name}', timeout=25 * 60, ) run_one_test(test) @@ -2861,7 +2854,7 @@ def test_managed_jobs_pipeline_recovery_aws(aws_config_region): [ f'sky jobs launch -n {name} tests/test_yamls/pipeline_aws.yaml -y -d', 'sleep 400', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RUNNING"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids', # Terminate the cluster manually. @@ -2878,16 +2871,16 @@ def test_managed_jobs_pipeline_recovery_aws(aws_config_region): f'-{user_hash} ' f'--query Reservations[].Instances[].InstanceId ' '--output text)'), - 'sleep 100', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RECOVERING"', + _JOB_WAIT_NOT_RUNNING.format(job_name=name), + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', 'sleep 200', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RUNNING"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | grep "$RUN_ID"', f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids-new', f'diff /tmp/{name}-run-ids /tmp/{name}-run-ids-new', f'cat /tmp/{name}-run-ids | sed -n 2p | grep `cat /tmp/{name}-run-id`', ], - _JOB_CANCEL_WAIT.format(job_name=name), + f'sky jobs cancel -y -n {name}', timeout=25 * 60, ) run_one_test(test) @@ -2912,7 +2905,7 @@ def test_managed_jobs_pipeline_recovery_gcp(): [ f'sky jobs launch -n {name} tests/test_yamls/pipeline_gcp.yaml -y -d', 'sleep 400', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RUNNING"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids', # Terminate the cluster manually. @@ -2921,16 +2914,16 @@ def test_managed_jobs_pipeline_recovery_gcp(): # separated by `-`. (f'MANAGED_JOB_ID=`cat /tmp/{name}-run-id | rev | ' f'cut -d\'_\' -f1 | rev | cut -d\'-\' -f1`; {terminate_cmd}'), - 'sleep 60', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RECOVERING"', + _JOB_WAIT_NOT_RUNNING.format(job_name=name), + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', 'sleep 200', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RUNNING"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | grep "$RUN_ID"', f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids-new', f'diff /tmp/{name}-run-ids /tmp/{name}-run-ids-new', f'cat /tmp/{name}-run-ids | sed -n 2p | grep `cat /tmp/{name}-run-id`', ], - _JOB_CANCEL_WAIT.format(job_name=name), + f'sky jobs cancel -y -n {name}', timeout=25 * 60, ) run_one_test(test) @@ -2951,9 +2944,9 @@ def test_managed_jobs_recovery_default_resources(generic_cloud: str): [ f'sky jobs launch -n {name} --cloud {generic_cloud} --use-spot "sleep 30 && sudo shutdown now && sleep 1000" -y -d', 'sleep 360', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RUNNING\|RECOVERING"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING\|RECOVERING"', ], - _JOB_CANCEL_WAIT.format(job_name=name), + f'sky jobs cancel -y -n {name}', timeout=25 * 60, ) run_one_test(test) @@ -2972,7 +2965,7 @@ def test_managed_jobs_recovery_multi_node_aws(aws_config_region): [ f'sky jobs launch --cloud aws --region {region} -n {name} --use-spot --num-nodes 2 "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', 'sleep 450', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RUNNING"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', # Terminate the worker manually. (f'aws ec2 terminate-instances --region {region} --instance-ids $(' @@ -2981,13 +2974,13 @@ def test_managed_jobs_recovery_multi_node_aws(aws_config_region): 'Name=tag:ray-node-type,Values=worker ' f'--query Reservations[].Instances[].InstanceId ' '--output text)'), - 'sleep 50', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RECOVERING"', + _JOB_WAIT_NOT_RUNNING.format(job_name=name), + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', 'sleep 560', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RUNNING"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2 | grep "$RUN_ID"', ], - _JOB_CANCEL_WAIT.format(job_name=name), + f'sky jobs cancel -y -n {name}', timeout=30 * 60, ) run_one_test(test) @@ -3013,17 +3006,17 @@ def test_managed_jobs_recovery_multi_node_gcp(): [ f'sky jobs launch --cloud gcp --zone {zone} -n {name} --use-spot --num-nodes 2 "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', 'sleep 400', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RUNNING"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', # Terminate the worker manually. terminate_cmd, - 'sleep 50', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RECOVERING"', + _JOB_WAIT_NOT_RUNNING.format(job_name=name), + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', 'sleep 420', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RUNNING"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2 | grep "$RUN_ID"', ], - _JOB_CANCEL_WAIT.format(job_name=name), + f'sky jobs cancel -y -n {name}', timeout=25 * 60, ) run_one_test(test) @@ -3046,12 +3039,12 @@ def test_managed_jobs_cancellation_aws(aws_config_region): # Test cancellation during spot cluster being launched. f'sky jobs launch --cloud aws --region {region} -n {name} --use-spot "sleep 1000" -y -d', 'sleep 60', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "STARTING"', - _JOB_CANCEL_WAIT.format(job_name=name), + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "STARTING"', + f'sky jobs cancel -y -n {name}', 'sleep 5', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "CANCELLING\|CANCELLED"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "CANCELLING\|CANCELLED"', 'sleep 120', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "CANCELLED"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "CANCELLED"', (f's=$(aws ec2 describe-instances --region {region} ' f'--filters Name=tag:ray-cluster-name,Values={name_on_cloud}-* ' f'--query Reservations[].Instances[].State[].Name ' @@ -3060,11 +3053,11 @@ def test_managed_jobs_cancellation_aws(aws_config_region): # Test cancelling the spot cluster during spot job being setup. f'sky jobs launch --cloud aws --region {region} -n {name}-2 --use-spot tests/test_yamls/test_long_setup.yaml -y -d', 'sleep 300', - _JOB_CANCEL_WAIT.format(job_name=f'{name}-2'), + f'sky jobs cancel -y -n {name}-2', 'sleep 5', - f'{_JOB_QUEUE_WAIT}| grep {name}-2 | head -n1 | grep "CANCELLING\|CANCELLED"', + f'{_GET_JOB_QUEUE} | grep {name}-2 | head -n1 | grep "CANCELLING\|CANCELLED"', 'sleep 120', - f'{_JOB_QUEUE_WAIT}| grep {name}-2 | head -n1 | grep "CANCELLED"', + f'{_GET_JOB_QUEUE} | grep {name}-2 | head -n1 | grep "CANCELLED"', (f's=$(aws ec2 describe-instances --region {region} ' f'--filters Name=tag:ray-cluster-name,Values={name_2_on_cloud}-* ' f'--query Reservations[].Instances[].State[].Name ' @@ -3073,20 +3066,20 @@ def test_managed_jobs_cancellation_aws(aws_config_region): # Test cancellation during spot job is recovering. f'sky jobs launch --cloud aws --region {region} -n {name}-3 --use-spot "sleep 1000" -y -d', 'sleep 300', - f'{_JOB_QUEUE_WAIT}| grep {name}-3 | head -n1 | grep "RUNNING"', + f'{_GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "RUNNING"', # Terminate the cluster manually. (f'aws ec2 terminate-instances --region {region} --instance-ids $(' f'aws ec2 describe-instances --region {region} ' f'--filters Name=tag:ray-cluster-name,Values={name_3_on_cloud}-* ' f'--query Reservations[].Instances[].InstanceId ' '--output text)'), - 'sleep 120', - f'{_JOB_QUEUE_WAIT}| grep {name}-3 | head -n1 | grep "RECOVERING"', - _JOB_CANCEL_WAIT.format(job_name=f'{name}-3'), + _JOB_WAIT_NOT_RUNNING.format(job_name=f'{name}-3'), + f'{_GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "RECOVERING"', + f'sky jobs cancel -y -n {name}-3', 'sleep 5', - f'{_JOB_QUEUE_WAIT}| grep {name}-3 | head -n1 | grep "CANCELLING\|CANCELLED"', + f'{_GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "CANCELLING\|CANCELLED"', 'sleep 120', - f'{_JOB_QUEUE_WAIT}| grep {name}-3 | head -n1 | grep "CANCELLED"', + f'{_GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "CANCELLED"', # The cluster should be terminated (shutting-down) after cancellation. We don't use the `=` operator here because # there can be multiple VM with the same name due to the recovery. (f's=$(aws ec2 describe-instances --region {region} ' @@ -3122,33 +3115,33 @@ def test_managed_jobs_cancellation_gcp(): # Test cancellation during spot cluster being launched. f'sky jobs launch --cloud gcp --zone {zone} -n {name} --use-spot "sleep 1000" -y -d', 'sleep 60', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "STARTING"', - _JOB_CANCEL_WAIT.format(job_name=name), + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "STARTING"', + f'sky jobs cancel -y -n {name}', 'sleep 5', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "CANCELLING\|CANCELLED"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "CANCELLING\|CANCELLED"', 'sleep 120', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "CANCELLED"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "CANCELLED"', # Test cancelling the spot cluster during spot job being setup. f'sky jobs launch --cloud gcp --zone {zone} -n {name}-2 --use-spot tests/test_yamls/test_long_setup.yaml -y -d', 'sleep 300', - _JOB_CANCEL_WAIT.format(job_name=f'{name}-2'), + f'sky jobs cancel -y -n {name}-2', 'sleep 5', - f'{_JOB_QUEUE_WAIT}| grep {name}-2 | head -n1 | grep "CANCELLING\|CANCELLED"', + f'{_GET_JOB_QUEUE} | grep {name}-2 | head -n1 | grep "CANCELLING\|CANCELLED"', 'sleep 120', - f'{_JOB_QUEUE_WAIT}| grep {name}-2 | head -n1 | grep "CANCELLED"', + f'{_GET_JOB_QUEUE} | grep {name}-2 | head -n1 | grep "CANCELLED"', # Test cancellation during spot job is recovering. f'sky jobs launch --cloud gcp --zone {zone} -n {name}-3 --use-spot "sleep 1000" -y -d', 'sleep 300', - f'{_JOB_QUEUE_WAIT}| grep {name}-3 | head -n1 | grep "RUNNING"', + f'{_GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "RUNNING"', # Terminate the cluster manually. terminate_cmd, - 'sleep 80', - f'{_JOB_QUEUE_WAIT}| grep {name}-3 | head -n1 | grep "RECOVERING"', - _JOB_CANCEL_WAIT.format(job_name=f'{name}-3'), + _JOB_WAIT_NOT_RUNNING.format(job_name=f'{name}-3'), + f'{_GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "RECOVERING"', + f'sky jobs cancel -y -n {name}-3', 'sleep 5', - f'{_JOB_QUEUE_WAIT}| grep {name}-3 | head -n1 | grep "CANCELLING\|CANCELLED"', + f'{_GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "CANCELLING\|CANCELLED"', 'sleep 120', - f'{_JOB_QUEUE_WAIT}| grep {name}-3 | head -n1 | grep "CANCELLED"', + f'{_GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "CANCELLED"', # The cluster should be terminated (STOPPING) after cancellation. We don't use the `=` operator here because # there can be multiple VM with the same name due to the recovery. (f's=$({query_state_cmd}) && echo "$s" && echo; [[ -z "$s" ]] || echo "$s" | grep -v -E "PROVISIONING|STAGING|RUNNING|REPAIRING|TERMINATED|SUSPENDING|SUSPENDED|SUSPENDED"' @@ -3239,12 +3232,12 @@ def test_managed_jobs_storage(generic_cloud: str): f'sky jobs launch -n {name}{use_spot} --cloud {generic_cloud}{region_flag} {file_path} -y', region_validation_cmd, # Check if the bucket is created in the correct region 'sleep 60', # Wait the spot queue to be updated - f'{_JOB_QUEUE_WAIT}| grep {name} | grep SUCCEEDED', + f'{_GET_JOB_QUEUE} | grep {name} | grep SUCCEEDED', f'[ $(aws s3api list-buckets --query "Buckets[?contains(Name, \'{storage_name}\')].Name" --output text | wc -l) -eq 0 ]', # Check if file was written to the mounted output bucket output_check_cmd ], - (_JOB_CANCEL_WAIT.format(job_name=name), + (f'sky jobs cancel -y -n {name}', f'; sky storage delete {output_storage_name} || true'), # Increase timeout since sky jobs queue -r can be blocked by other spot tests. timeout=20 * 60, @@ -3264,11 +3257,11 @@ def test_managed_jobs_tpu(): [ f'sky jobs launch -n {name} --use-spot examples/tpu/tpuvm_mnist.yaml -y -d', 'sleep 5', - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep STARTING', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep STARTING', 'sleep 900', # TPU takes a while to launch - f'{_JOB_QUEUE_WAIT}| grep {name} | head -n1 | grep "RUNNING\|SUCCEEDED"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING\|SUCCEEDED"', ], - _JOB_CANCEL_WAIT.format(job_name=name), + f'sky jobs cancel -y -n {name}', # Increase timeout since sky jobs queue -r can be blocked by other spot tests. timeout=20 * 60, ) @@ -3285,9 +3278,9 @@ def test_managed_jobs_inline_env(generic_cloud: str): [ f'sky jobs launch -n {name} -y --cloud {generic_cloud} --env TEST_ENV="hello world" -- "([[ ! -z \\"\$TEST_ENV\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_IPS}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_RANK}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NUM_NODES}\\" ]]) || exit 1"', 'sleep 20', - f'{_JOB_QUEUE_WAIT} | grep {name} | grep SUCCEEDED', + f'{_GET_JOB_QUEUE} | grep {name} | grep SUCCEEDED', ], - _JOB_CANCEL_WAIT.format(job_name=name), + f'sky jobs cancel -y -n {name}', # Increase timeout since sky jobs queue -r can be blocked by other spot tests. timeout=20 * 60, ) @@ -5613,7 +5606,7 @@ def test_sky_bench(generic_cloud: str): @pytest.mark.kubernetes def test_kubernetes_context_failover(): """Test if the kubernetes context failover works. - + This test requires two kubernetes clusters: - kind-skypilot: the local cluster with mock labels for 8 H100 GPUs. - another accessible cluster: with enough CPUs From 5dda9cfe4c66b9e64e7aa8842b8b7d01df44fb54 Mon Sep 17 00:00:00 2001 From: Yika Date: Wed, 30 Oct 2024 16:04:32 -0700 Subject: [PATCH 029/152] Add user toolkits to all sky custom images and fix PyTorch issue on A10 (#4219) * Add user toolkits to all sky custom images * address comments --- docs/source/reference/faq.rst | 16 ++++++++++++++++ sky/clouds/service_catalog/images/README.md | 4 ++-- .../images/provisioners/user-toolkit.sh | 12 ++++++++++++ .../images/skypilot-aws-cpu-ubuntu.pkr.hcl | 3 +++ .../images/skypilot-aws-gpu-ubuntu.pkr.hcl | 3 +++ .../images/skypilot-azure-cpu-ubuntu.pkr.hcl | 9 +++++---- .../images/skypilot-azure-gpu-ubuntu.pkr.hcl | 11 ++++++++--- .../images/skypilot-gcp-cpu-ubuntu.pkr.hcl | 3 +++ .../images/skypilot-gcp-gpu-ubuntu.pkr.hcl | 3 +++ 9 files changed, 55 insertions(+), 9 deletions(-) create mode 100644 sky/clouds/service_catalog/images/provisioners/user-toolkit.sh diff --git a/docs/source/reference/faq.rst b/docs/source/reference/faq.rst index 1ade656b44b..6a8a598c1ca 100644 --- a/docs/source/reference/faq.rst +++ b/docs/source/reference/faq.rst @@ -192,6 +192,22 @@ For example, if you have access to special regions of GCP, add the data to ``~/. Also, you can update the catalog for a specific cloud by deleting the CSV file (e.g., ``rm ~/.sky/catalogs//gcp.csv``). SkyPilot will automatically download the latest catalog in the next run. +Package Installation +--------------------- + +Unable to import PyTorch in a SkyPilot task. +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +For `PyTorch `_ installation, if you are using the default SkyPilot images (not passing in `--image-id`), ``pip install torch`` should work. + +But if you use your own image which has an older NVIDIA driver (535.161.08 or lower) and you install the default PyTorch, you may encounter the following error: + +.. code-block:: bash + + ImportError: /home/azureuser/miniconda3/lib/python3.10/site-packages/torch/lib/../../nvidia/cusparse/lib/libcusparse.so.12: undefined symbol: __nvJitLinkComplete_12_4, version libnvJitLink.so.12 + +You will need to install a PyTorch version that is compatible with your NVIDIA driver, e.g., ``pip install torch --index-url https://download.pytorch.org/whl/cu121``. + + Miscellaneous ------------- diff --git a/sky/clouds/service_catalog/images/README.md b/sky/clouds/service_catalog/images/README.md index 32f91fc67fb..3784a940925 100644 --- a/sky/clouds/service_catalog/images/README.md +++ b/sky/clouds/service_catalog/images/README.md @@ -24,7 +24,7 @@ FYI time to packer build images: ### GCP 1. Build a single global image. ```bash -export TYPE=gpu # Update this +export TYPE=cpu # Update this export IMAGE=skypilot-gcp-${TYPE}-ubuntu packer build ${IMAGE}.pkr.hcl ``` @@ -39,7 +39,7 @@ gcloud compute images add-iam-policy-binding ${IMAGE_NAME} --member='allAuthenti ### AWS 1. Generate the source image for a single region. ```bash -export TYPE=gpu # Update this +export TYPE=cpu # Update this export IMAGE=skypilot-aws-${TYPE}-ubuntu packer build ${IMAGE}.pkr.hcl ``` diff --git a/sky/clouds/service_catalog/images/provisioners/user-toolkit.sh b/sky/clouds/service_catalog/images/provisioners/user-toolkit.sh new file mode 100644 index 00000000000..cea02249938 --- /dev/null +++ b/sky/clouds/service_catalog/images/provisioners/user-toolkit.sh @@ -0,0 +1,12 @@ +#!/bin/bash +# This script installs popular toolkits for users to use in the base environment. + +eval "$(~/miniconda3/bin/conda shell.bash hook)" +conda activate base +pip install numpy +pip install pandas + +if [ "$AZURE_GRID_DRIVER" = 1 ]; then + # Need PyTorch X.X.X+cu121 version to be compatible with older NVIDIA driver (535.161.08 or lower) + pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 +fi diff --git a/sky/clouds/service_catalog/images/skypilot-aws-cpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-aws-cpu-ubuntu.pkr.hcl index 5611b589cf9..370ea42e653 100644 --- a/sky/clouds/service_catalog/images/skypilot-aws-cpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-aws-cpu-ubuntu.pkr.hcl @@ -41,4 +41,7 @@ build { ] script = "./provisioners/skypilot.sh" } + provisioner "shell" { + script = "./provisioners/user-toolkit.sh" + } } diff --git a/sky/clouds/service_catalog/images/skypilot-aws-gpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-aws-gpu-ubuntu.pkr.hcl index 91aad2aa71e..22f78cd88d0 100644 --- a/sky/clouds/service_catalog/images/skypilot-aws-gpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-aws-gpu-ubuntu.pkr.hcl @@ -49,4 +49,7 @@ build { ] script = "./provisioners/skypilot.sh" } + provisioner "shell" { + script = "./provisioners/user-toolkit.sh" + } } diff --git a/sky/clouds/service_catalog/images/skypilot-azure-cpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-azure-cpu-ubuntu.pkr.hcl index dd08e1baef7..1b41f8a029c 100644 --- a/sky/clouds/service_catalog/images/skypilot-azure-cpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-azure-cpu-ubuntu.pkr.hcl @@ -9,14 +9,12 @@ variable "vm_generation" { } locals { - date = formatdate("YYMMDD", timestamp()) - version = formatdate("YY.MM.DD", timestamp()) + date = formatdate("YYMMDD", timestamp()) + version = formatdate("YY.MM.DD", timestamp()) } source "azure-arm" "cpu-ubuntu" { managed_image_resource_group_name = "skypilot-images" - // TODO(yika): these fields may not be required as we use community images below instead. We need to double-check if these can be removed. - managed_image_name = "skypilot-azure-cpu-ubuntu-${local.date}" subscription_id = "59d8c23c-7ef5-42c7-b2f3-a919ad8026a7" tenant_id = "7c81f068-46f8-4b26-9a46-2fbec2287e3d" @@ -67,4 +65,7 @@ build { ] script = "./provisioners/skypilot.sh" } + provisioner "shell" { + script = "./provisioners/user-toolkit.sh" + } } diff --git a/sky/clouds/service_catalog/images/skypilot-azure-gpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-azure-gpu-ubuntu.pkr.hcl index d66125cfffb..a68708cc66b 100644 --- a/sky/clouds/service_catalog/images/skypilot-azure-gpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-azure-gpu-ubuntu.pkr.hcl @@ -15,13 +15,12 @@ variable "use_grid_driver" { } locals { - date = formatdate("YYMMDD", timestamp()) - version = formatdate("YY.MM.DD", timestamp()) + date = formatdate("YYMMDD", timestamp()) + version = formatdate("YY.MM.DD", timestamp()) } source "azure-arm" "gpu-ubuntu" { managed_image_resource_group_name = "skypilot-images" - managed_image_name = "skypilot-azure-gpu-ubuntu-${local.date}" subscription_id = "59d8c23c-7ef5-42c7-b2f3-a919ad8026a7" tenant_id = "7c81f068-46f8-4b26-9a46-2fbec2287e3d" @@ -78,4 +77,10 @@ build { ] script = "./provisioners/skypilot.sh" } + provisioner "shell" { + environment_vars = [ + var.use_grid_driver ? "AZURE_GRID_DRIVER=1" : "AZURE_GRID_DRIVER=0", + ] + script = "./provisioners/user-toolkit.sh" + } } diff --git a/sky/clouds/service_catalog/images/skypilot-gcp-cpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-gcp-cpu-ubuntu.pkr.hcl index 056f2d1239e..2ddd836d886 100644 --- a/sky/clouds/service_catalog/images/skypilot-gcp-cpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-gcp-cpu-ubuntu.pkr.hcl @@ -27,4 +27,7 @@ build { ] script = "./provisioners/skypilot.sh" } + provisioner "shell" { + script = "./provisioners/user-toolkit.sh" + } } diff --git a/sky/clouds/service_catalog/images/skypilot-gcp-gpu-ubuntu.pkr.hcl b/sky/clouds/service_catalog/images/skypilot-gcp-gpu-ubuntu.pkr.hcl index 8d57456b29b..a4799c3025b 100644 --- a/sky/clouds/service_catalog/images/skypilot-gcp-gpu-ubuntu.pkr.hcl +++ b/sky/clouds/service_catalog/images/skypilot-gcp-gpu-ubuntu.pkr.hcl @@ -40,4 +40,7 @@ build { ] script = "./provisioners/skypilot.sh" } + provisioner "shell" { + script = "./provisioners/user-toolkit.sh" + } } From c4eeeb5fb3ef64be0f05a727e119ac9266f8940f Mon Sep 17 00:00:00 2001 From: Tian Xia Date: Wed, 30 Oct 2024 17:02:45 -0700 Subject: [PATCH 030/152] [Core] Support TPU v6 (#4220) * init * fix * nit * format * add readme * add inference example * nit * add multi-host training * rephrase catalog doc * Update examples/tpu/v6e/README.md Co-authored-by: Zhanghao Wu --------- Co-authored-by: Zhanghao Wu --- examples/tpu/v6e/README.md | 128 ++++++++++++++++++++++ examples/tpu/v6e/benchmark-llama2-7b.yaml | 10 ++ examples/tpu/v6e/config-8B.json | 27 +++++ examples/tpu/v6e/fsdp_config.json | 8 ++ examples/tpu/v6e/serve-llama2-7b.yaml | 60 ++++++++++ examples/tpu/v6e/train-llama3-8b.yaml | 53 +++++++++ sky/backends/cloud_vm_ray_backend.py | 2 +- sky/clouds/utils/gcp_utils.py | 8 -- sky/resources.py | 3 + 9 files changed, 290 insertions(+), 9 deletions(-) create mode 100644 examples/tpu/v6e/README.md create mode 100644 examples/tpu/v6e/benchmark-llama2-7b.yaml create mode 100644 examples/tpu/v6e/config-8B.json create mode 100644 examples/tpu/v6e/fsdp_config.json create mode 100644 examples/tpu/v6e/serve-llama2-7b.yaml create mode 100644 examples/tpu/v6e/train-llama3-8b.yaml diff --git a/examples/tpu/v6e/README.md b/examples/tpu/v6e/README.md new file mode 100644 index 00000000000..c5eca93ca91 --- /dev/null +++ b/examples/tpu/v6e/README.md @@ -0,0 +1,128 @@ +# TPU v6e + +Trillium (also refers to v6e) is Cloud TPU’s latest generation AI accelerator. SkyPilot support TPU v6e with provisioning, training and serving. + +## Catalogs + +Currently, for TPU v6e, the public APIs for regions and pricing is not released yet, and pricing info for `us-central1`, `us-central2`, `us-south1` is not available. We set the price to `0.0` in those regions for now. + +``` +## Provisioning + +To provision TPU v6e, use the following command: + +```bash +$ sky launch --gpus tpu-v6e-16 -c tpu-v6e +``` + +After that, you can SSH to the instance and start developing your model: + +```bash +$ ssh tpu-v6e +``` + +## Training + +Examples in this directory (`train-llama3-8b.yaml`) shows how to use TPU v6e to train a Llama3 8b model, using PyTorch (XLA) on the wikitext dataset. To start the training, use the following command: + +```bash +$ HF_TOKEN=hf_xxx sky launch train-llama3-8b.yaml -c train-llama3-8b --env HF_TOKEN +``` + +### Single-Host Training + +The training throughput for a `tpu-v6e-8` instance should around 0.5 samples/s: + +```bash +(task, pid=17499) ***** train metrics ***** +(task, pid=17499) epoch = 1.1765 +(task, pid=17499) total_flos = 109935420GF +(task, pid=17499) train_loss = 10.6011 +(task, pid=17499) train_runtime = 0:11:12.77 +(task, pid=17499) train_samples = 282 +(task, pid=17499) train_samples_per_second = 0.476 +(task, pid=17499) train_steps_per_second = 0.03 +INFO: Job finished (status: SUCCEEDED). +``` + +### Multi-Host Training + +By changing the TPU type to `tpu-v6e-16` and the `--per_device_train_batch_size` to `32`, the training throughput increased to around 1 samples/s: + +```bash +(head, rank=0, pid=17894) ***** train metrics ***** +(head, rank=0, pid=17894) epoch = 2.5 +(head, rank=0, pid=17894) total_flos = 219870840GF +(head, rank=0, pid=17894) train_loss = 10.1527 +(head, rank=0, pid=17894) train_runtime = 0:11:13.18 +(head, rank=0, pid=17894) train_samples = 282 +(head, rank=0, pid=17894) train_samples_per_second = 0.951 +(head, rank=0, pid=17894) train_steps_per_second = 0.03 + +(worker1, rank=1, pid=15406, ip=10.164.0.57) ***** train metrics ***** +(worker1, rank=1, pid=15406, ip=10.164.0.57) epoch = 2.5 +(worker1, rank=1, pid=15406, ip=10.164.0.57) total_flos = 219870840GF +(worker1, rank=1, pid=15406, ip=10.164.0.57) train_loss = 10.1527 +(worker1, rank=1, pid=15406, ip=10.164.0.57) train_runtime = 0:11:15.08 +(worker1, rank=1, pid=15406, ip=10.164.0.57) train_samples = 282 +(worker1, rank=1, pid=15406, ip=10.164.0.57) train_samples_per_second = 0.948 +(worker1, rank=1, pid=15406, ip=10.164.0.57) train_steps_per_second = 0.03 + +(worker2, rank=2, pid=16552, ip=10.164.0.58) ***** train metrics ***** +(worker2, rank=2, pid=16552, ip=10.164.0.58) epoch = 2.5 +(worker2, rank=2, pid=16552, ip=10.164.0.58) total_flos = 219870840GF +(worker2, rank=2, pid=16552, ip=10.164.0.58) train_loss = 10.1527 +(worker2, rank=2, pid=16552, ip=10.164.0.58) train_runtime = 0:11:15.61 +(worker2, rank=2, pid=16552, ip=10.164.0.58) train_samples = 282 +(worker2, rank=2, pid=16552, ip=10.164.0.58) train_samples_per_second = 0.947 +(worker2, rank=2, pid=16552, ip=10.164.0.58) train_steps_per_second = 0.03 + +(worker3, rank=3, pid=17469, ip=10.164.0.59) ***** train metrics ***** +(worker3, rank=3, pid=17469, ip=10.164.0.59) epoch = 2.5 +(worker3, rank=3, pid=17469, ip=10.164.0.59) total_flos = 219870840GF +(worker3, rank=3, pid=17469, ip=10.164.0.59) train_loss = 10.1527 +(worker3, rank=3, pid=17469, ip=10.164.0.59) train_runtime = 0:11:15.10 +(worker3, rank=3, pid=17469, ip=10.164.0.59) train_samples = 282 +(worker3, rank=3, pid=17469, ip=10.164.0.59) train_samples_per_second = 0.948 +(worker3, rank=3, pid=17469, ip=10.164.0.59) train_steps_per_second = 0.03 + +INFO: Job finished (status: SUCCEEDED). +``` + +# Serving + +TPU v6e also supports serving. Examples in this directory (`serve-llama2-7b.yaml`) shows how to use TPU v6e to serve a Llama2 7b model, using PyTorch (XLA) and the JetStream lib. To start the serving, use the following command: + +```bash +$ HF_TOKEN=hf_xxx sky launch serve-llama2-7b.yaml -c serve-llama2-7b --env HF_TOKEN +``` + +After the server is ready, you should see the following message: + +```bash +(task, pid=26431) 2024-09-24 19:58:15,160 - root - INFO - Starting server on port 9000 with 64 threads +(task, pid=26431) I0924 19:58:15.160293 140454572087296 server_lib.py:155] Starting server on port 9000 with 64 threads +(task, pid=26431) 2024-09-24 19:58:15,161 - root - INFO - Not starting JAX profiler server: False +(task, pid=26431) I0924 19:58:15.161907 140454572087296 server_lib.py:164] Not starting JAX profiler server: False +(task, pid=26431) Started jetstream_server.... +``` + +You can now start a benchmark to test the serving performance: + +```bash +$ sky exec serve-llama2-7b benchmark-llama2-7b.yaml +... (emitted logs) +(task, pid=25491) Successful requests: 100 +(task, pid=25491) Benchmark duration: 8.753792 s +(task, pid=25491) Total input tokens: 21888 +(task, pid=25491) Total generated tokens: 18803 +(task, pid=25491) Request throughput: 11.42 requests/s +(task, pid=25491) Input token throughput: 2500.40 tokens/s +(task, pid=25491) Output token throughput: 2147.98 tokens/s +(task, pid=25491) Mean TTFT: 1981.93 ms +(task, pid=25491) Median TTFT: 1829.33 ms +(task, pid=25491) P99 TTFT: 4511.95 ms +(task, pid=25491) Mean TPOT: 130.71 ms +(task, pid=25491) Median TPOT: 18.88 ms +(task, pid=25491) P99 TPOT: 2487.37 ms +``` diff --git a/examples/tpu/v6e/benchmark-llama2-7b.yaml b/examples/tpu/v6e/benchmark-llama2-7b.yaml new file mode 100644 index 00000000000..d6fa002e160 --- /dev/null +++ b/examples/tpu/v6e/benchmark-llama2-7b.yaml @@ -0,0 +1,10 @@ +envs: + model_name: llama-2 + tokenizer_path: /home/gcpuser/sky_workdir/ckpt/llama2-7b/original/tokenizer.model + +run: | + cd JetStream + python benchmarks/benchmark_serving.py \ + --tokenizer=$tokenizer_path --num-prompts=100 \ + --dataset openorca --save-request-outputs \ + --warmup-mode=sampled --model=$model_name diff --git a/examples/tpu/v6e/config-8B.json b/examples/tpu/v6e/config-8B.json new file mode 100644 index 00000000000..175a749e1bd --- /dev/null +++ b/examples/tpu/v6e/config-8B.json @@ -0,0 +1,27 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 128000, + "eos_token_id": 128001, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 14336, + "max_position_embeddings": 8192, + "model_type": "llama", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 8, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": null, + "rope_theta": 500000.0, + "tie_word_embeddings": false, + "torch_dtype": "bfloat16", + "transformers_version": "4.40.0.dev0", + "use_cache": true, + "vocab_size": 128256 +} diff --git a/examples/tpu/v6e/fsdp_config.json b/examples/tpu/v6e/fsdp_config.json new file mode 100644 index 00000000000..a37a04352ee --- /dev/null +++ b/examples/tpu/v6e/fsdp_config.json @@ -0,0 +1,8 @@ +{ + "fsdp_transformer_layer_cls_to_wrap": [ + "LlamaDecoderLayer" + ], + "xla": true, + "xla_fsdp_v2": true, + "xla_fsdp_grad_ckpt": true +} diff --git a/examples/tpu/v6e/serve-llama2-7b.yaml b/examples/tpu/v6e/serve-llama2-7b.yaml new file mode 100644 index 00000000000..49d0bf9fcd2 --- /dev/null +++ b/examples/tpu/v6e/serve-llama2-7b.yaml @@ -0,0 +1,60 @@ +resources: + accelerators: tpu-v6e-8 # Fill in the accelerator type you want to use + +envs: + HF_TOKEN: # fill in your huggingface token + HF_REPO_ID: meta-llama/Llama-2-7b + model_name: llama-2 + input_ckpt_dir: /home/gcpuser/sky_workdir/ckpt/llama2-7b/original + output_ckpt_dir: /home/gcpuser/sky_workdir/ckpt/llama2-7b/converted + tokenizer_path: /home/gcpuser/sky_workdir/ckpt/llama2-7b/original/tokenizer.model + +setup: | + pip3 install huggingface_hub + python3 -c "import huggingface_hub; huggingface_hub.login('${HF_TOKEN}')" + + # Setup TPU + pip3 install cloud-tpu-client + sudo apt update + sudo apt install -y libopenblas-base + pip3 install --pre torch==2.6.0.dev20240916+cpu torchvision==0.20.0.dev20240916+cpu \ + --index-url https://download.pytorch.org/whl/nightly/cpu + pip install "torch_xla[tpu]@https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.6.0.dev20240916-cp310-cp310-linux_x86_64.whl" \ + -f https://storage.googleapis.com/libtpu-releases/index.html + pip install torch_xla[pallas] \ + -f https://storage.googleapis.com/jax-releases/jax_nightly_releases.html \ + -f https://storage.googleapis.com/jax-releases/jaxlib_nightly_releases.html + + # Setup runtime for serving + git clone https://github.com/google/JetStream.git + cd JetStream + git checkout main + git pull origin main + pip install -e . + cd benchmarks + pip install -r requirements.in + cd ../.. + git clone https://github.com/google/jetstream-pytorch.git + cd jetstream-pytorch/ + git checkout jetstream-v0.2.3 + source install_everything.sh + pip3 install -U --pre jax jaxlib libtpu-nightly requests \ + -f https://storage.googleapis.com/jax-releases/jax_nightly_releases.html \ + -f https://storage.googleapis.com/jax-releases/libtpu_releases.html + + + # Prepare checkpoint, inside jetstream-pytorch repo + mkdir -p ${input_ckpt_dir} + python3 -c "import huggingface_hub; huggingface_hub.snapshot_download('${HF_REPO_ID}', local_dir='${input_ckpt_dir}')" + mkdir -p ${output_ckpt_dir} + python -m convert_checkpoints --model_name=$model_name \ + --input_checkpoint_dir=$input_ckpt_dir \ + --output_checkpoint_dir=$output_ckpt_dir + +run: | + cd jetstream-pytorch + python run_server.py --model_name=$model_name \ + --size=7b --batch_size=24 --max_cache_length=2048 \ + --checkpoint_path=$output_ckpt_dir \ + --tokenizer_path=$tokenizer_path \ + --sharding_config="default_shardings/llama.yaml" diff --git a/examples/tpu/v6e/train-llama3-8b.yaml b/examples/tpu/v6e/train-llama3-8b.yaml new file mode 100644 index 00000000000..3acdbdbbe0b --- /dev/null +++ b/examples/tpu/v6e/train-llama3-8b.yaml @@ -0,0 +1,53 @@ +resources: + accelerators: tpu-v6e-8 # Fill in the accelerator type you want to use + +envs: + HF_TOKEN: # fill in your huggingface token + +workdir: . + +setup: | + pip3 install huggingface_hub + python3 -c "import huggingface_hub; huggingface_hub.login('${HF_TOKEN}')" + + # Setup TPU + pip3 install cloud-tpu-client + sudo apt update + sudo apt install -y libopenblas-base + pip3 install --pre torch==2.6.0.dev20240916+cpu torchvision==0.20.0.dev20240916+cpu \ + --index-url https://download.pytorch.org/whl/nightly/cpu + pip install "torch_xla[tpu]@https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.6.0.dev20240916-cp310-cp310-linux_x86_64.whl" \ + -f https://storage.googleapis.com/libtpu-releases/index.html + pip install torch_xla[pallas] \ + -f https://storage.googleapis.com/jax-releases/jax_nightly_releases.html \ + -f https://storage.googleapis.com/jax-releases/jaxlib_nightly_releases.html + + # Setup runtime for training + git clone -b flash_attention https://github.com/pytorch-tpu/transformers.git + cd transformers + pip3 install -e . + pip3 install datasets evaluate scikit-learn accelerate + +run: | + unset LD_PRELOAD + PJRT_DEVICE=TPU XLA_USE_SPMD=1 ENABLE_PJRT_COMPATIBILITY=true \ + python3 transformers/examples/pytorch/language-modeling/run_clm.py \ + --dataset_name wikitext \ + --dataset_config_name wikitext-2-raw-v1 \ + --per_device_train_batch_size 16 \ + --do_train \ + --output_dir /home/$USER/tmp/test-clm \ + --overwrite_output_dir \ + --config_name /home/$USER/sky_workdir/config-8B.json \ + --cache_dir /home/$USER/cache \ + --tokenizer_name meta-llama/Meta-Llama-3-8B \ + --block_size 8192 \ + --optim adafactor \ + --save_strategy no \ + --logging_strategy no \ + --fsdp "full_shard" \ + --fsdp_config /home/$USER/sky_workdir/fsdp_config.json \ + --torch_dtype bfloat16 \ + --dataloader_drop_last yes \ + --flash_attention \ + --max_steps 20 diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index b0a064afe7c..a256277085f 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -2467,7 +2467,7 @@ def num_ips_per_node(self) -> int: """Returns number of IPs per node in the cluster, handling TPU Pod.""" is_tpu_vm_pod = gcp_utils.is_tpu_vm_pod(self.launched_resources) if is_tpu_vm_pod: - num_ips = gcp_utils.get_num_tpu_devices(self.launched_resources) + num_ips = len(self.internal_ips()) else: num_ips = 1 return num_ips diff --git a/sky/clouds/utils/gcp_utils.py b/sky/clouds/utils/gcp_utils.py index 68e6192d351..cfb893c8cb4 100644 --- a/sky/clouds/utils/gcp_utils.py +++ b/sky/clouds/utils/gcp_utils.py @@ -49,14 +49,6 @@ def is_tpu_vm_pod(resources: Optional['resources_lib.Resources']) -> bool: return not acc.endswith('-8') -def get_num_tpu_devices(resources: Optional['resources_lib.Resources']) -> int: - if resources is None or not is_tpu(resources): - raise ValueError('resources must be a valid TPU resource.') - acc, _ = list(resources.accelerators.items())[0] - num_tpu_devices = int(int(acc.split('-')[2]) / 8) - return num_tpu_devices - - @dataclasses.dataclass class SpecificReservation: count: int diff --git a/sky/resources.py b/sky/resources.py index 9d853ac81f0..3b33476713b 100644 --- a/sky/resources.py +++ b/sky/resources.py @@ -602,6 +602,9 @@ def _get_default_runtime_version() -> str: # TPU V5 requires a newer runtime version. if acc.startswith('tpu-v5'): return 'v2-alpha-tpuv5' + # TPU V6e requires a newer runtime version. + if acc.startswith('tpu-v6e'): + return 'v2-alpha-tpuv6e' return 'tpu-vm-base' accelerator_args['runtime_version'] = ( From 5ca2fd2e6e9d53930e220d1a49c816040cfd4491 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Thu, 31 Oct 2024 10:41:27 -0700 Subject: [PATCH 031/152] [Core] Make home address replacement more robust (#4227) * Make home address replacement more robust * format --- sky/backends/cloud_vm_ray_backend.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index a256277085f..cf8ea4bda7d 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -2114,8 +2114,11 @@ def __init__( self._version = self._VERSION self.cluster_name = cluster_name self.cluster_name_on_cloud = cluster_name_on_cloud - self._cluster_yaml = cluster_yaml.replace(os.path.expanduser('~'), '~', - 1) + # Replace the home directory with ~ for better robustness across systems + # with different home directories. + if cluster_yaml.startswith(os.path.expanduser('~')): + cluster_yaml = cluster_yaml.replace(os.path.expanduser('~'), '~', 1) + self._cluster_yaml = cluster_yaml # List of (internal_ip, feasible_ip) tuples for all the nodes in the # cluster, sorted by the feasible ips. The feasible ips can be either # internal or external ips, depending on the use_internal_ips flag. From 22fd238faf5cda2c917d804076b0ec74a7fba3f7 Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Thu, 31 Oct 2024 11:27:59 -0700 Subject: [PATCH 032/152] [UX] sky launch --fast (#4159) * [UX] skip provisioning stages if cluster is already available * add new --skip-setup flag and further limit stages to match sky exec * rename flag to --fast * add smoke test for sky launch --fast * changes stages for --fast * fix --fast help message * add api test for fast param (outside CLI) * lint * explicitly specify stages --- sky/backends/cloud_vm_ray_backend.py | 2 +- sky/cli.py | 13 ++++- sky/execution.py | 37 +++++++++++- tests/test_smoke.py | 85 ++++++++++++++++++++++++++++ 4 files changed, 133 insertions(+), 4 deletions(-) diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index cf8ea4bda7d..0013e6cbaf9 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -2708,7 +2708,7 @@ def _provision( (e.g., cluster name invalid) or a region/zone throwing resource unavailability. exceptions.CommandError: any ssh command error. - RuntimeErorr: raised when 'rsync' is not installed. + RuntimeError: raised when 'rsync' is not installed. # TODO(zhwu): complete the list of exceptions. """ # FIXME: ray up for Azure with different cluster_names will overwrite diff --git a/sky/cli.py b/sky/cli.py index db1befb04a3..ce3ad16ecb9 100644 --- a/sky/cli.py +++ b/sky/cli.py @@ -555,6 +555,7 @@ def _launch_with_confirm( retry_until_up: bool = False, no_setup: bool = False, clone_disk_from: Optional[str] = None, + fast: bool = False, ): """Launch a cluster with a Task.""" if cluster is None: @@ -619,6 +620,7 @@ def _launch_with_confirm( retry_until_up=retry_until_up, no_setup=no_setup, clone_disk_from=clone_disk_from, + fast=fast, ) @@ -1040,6 +1042,13 @@ def cli(): help=('[Experimental] Clone disk from an existing cluster to launch ' 'a new one. This is useful when the new cluster needs to have ' 'the same data on the boot disk as an existing cluster.')) +@click.option( + '--fast', + is_flag=True, + default=False, + required=False, + help=('[Experimental] If the cluster is already up and available, skip ' + 'provisioning and setup steps.')) @usage_lib.entrypoint def launch( entrypoint: Tuple[str, ...], @@ -1071,6 +1080,7 @@ def launch( yes: bool, no_setup: bool, clone_disk_from: Optional[str], + fast: bool, ): """Launch a cluster or task. @@ -1139,7 +1149,8 @@ def launch( down=down, retry_until_up=retry_until_up, no_setup=no_setup, - clone_disk_from=clone_disk_from) + clone_disk_from=clone_disk_from, + fast=fast) @cli.command(cls=_DocumentedCodeCommand) diff --git a/sky/execution.py b/sky/execution.py index 42a39a90380..8fab5e583fb 100644 --- a/sky/execution.py +++ b/sky/execution.py @@ -11,6 +11,7 @@ from sky import admin_policy from sky import backends from sky import clouds +from sky import exceptions from sky import global_user_state from sky import optimizer from sky import sky_logging @@ -216,7 +217,8 @@ def _execute( '(after all jobs finish).' f'{colorama.Style.RESET_ALL}') idle_minutes_to_autostop = 1 - stages.remove(Stage.DOWN) + if Stage.DOWN in stages: + stages.remove(Stage.DOWN) if idle_minutes_to_autostop >= 0: requested_features.add( clouds.CloudImplementationFeatures.AUTO_TERMINATE) @@ -355,6 +357,7 @@ def launch( detach_run: bool = False, no_setup: bool = False, clone_disk_from: Optional[str] = None, + fast: bool = False, # Internal only: # pylint: disable=invalid-name _is_launched_by_jobs_controller: bool = False, @@ -409,6 +412,8 @@ def launch( clone_disk_from: [Experimental] if set, clone the disk from the specified cluster. This is useful to migrate the cluster to a different availability zone or region. + fast: [Experimental] If the cluster is already up and available, + skip provisioning and setup steps. Example: .. code-block:: python @@ -452,15 +457,43 @@ def launch( controller_utils.check_cluster_name_not_controller( cluster_name, operation_str='sky.launch') + handle = None + stages = None + # Check if cluster exists and we are doing fast provisioning + if fast and cluster_name is not None: + maybe_handle = global_user_state.get_handle_from_cluster_name( + cluster_name) + if maybe_handle is not None: + try: + # This will throw if the cluster is not available + backend_utils.check_cluster_available( + cluster_name, + operation='executing tasks', + check_cloud_vm_ray_backend=False, + dryrun=dryrun) + handle = maybe_handle + # Get all stages + stages = [ + Stage.SYNC_WORKDIR, + Stage.SYNC_FILE_MOUNTS, + Stage.PRE_EXEC, + Stage.EXEC, + Stage.DOWN, + ] + except exceptions.ClusterNotUpError: + # Proceed with normal provisioning + pass + return _execute( entrypoint=entrypoint, dryrun=dryrun, down=down, stream_logs=stream_logs, - handle=None, + handle=handle, backend=backend, retry_until_up=retry_until_up, optimize_target=optimize_target, + stages=stages, cluster_name=cluster_name, detach_setup=detach_setup, detach_run=detach_run, diff --git a/tests/test_smoke.py b/tests/test_smoke.py index cfe7652e693..61bf0954131 100644 --- a/tests/test_smoke.py +++ b/tests/test_smoke.py @@ -360,6 +360,69 @@ def test_minimal(generic_cloud: str): run_one_test(test) +# ---------- Test fast launch ---------- +def test_launch_fast(generic_cloud: str): + name = _get_cluster_name() + + test = Test( + 'test_launch_fast', + [ + # First launch to create the cluster + f'unset SKYPILOT_DEBUG; s=$(sky launch -y -c {name} --cloud {generic_cloud} --fast tests/test_yamls/minimal.yaml) && {_VALIDATE_LAUNCH_OUTPUT}', + f'sky logs {name} 1 --status', + + # Second launch to test fast launch - should not reprovision + f'unset SKYPILOT_DEBUG; s=$(sky launch -y -c {name} --fast tests/test_yamls/minimal.yaml) && ' + ' echo "$s" && ' + # Validate that cluster was not re-launched. + '! echo "$s" | grep -A 1 "Launching on" | grep "is up." && ' + # Validate that setup was not re-run. + '! echo "$s" | grep -A 1 "Running setup on" | grep "running setup" && ' + # Validate that the task ran and finished. + 'echo "$s" | grep -A 1 "task run finish" | grep "Job finished (status: SUCCEEDED)"', + f'sky logs {name} 2 --status', + f'sky status -r {name} | grep UP', + ], + f'sky down -y {name}', + timeout=_get_timeout(generic_cloud), + ) + run_one_test(test) + + +# See cloud exclusion explanations in test_autostop +@pytest.mark.no_fluidstack +@pytest.mark.no_lambda_cloud +@pytest.mark.no_ibm +@pytest.mark.no_kubernetes +def test_launch_fast_with_autostop(generic_cloud: str): + name = _get_cluster_name() + # Azure takes ~ 7m15s (435s) to autostop a VM, so here we use 600 to ensure + # the VM is stopped. + autostop_timeout = 600 if generic_cloud == 'azure' else 250 + + test = Test( + 'test_launch_fast_with_autostop', + [ + # First launch to create the cluster with a short autostop + f'unset SKYPILOT_DEBUG; s=$(sky launch -y -c {name} --cloud {generic_cloud} --fast -i 1 tests/test_yamls/minimal.yaml) && {_VALIDATE_LAUNCH_OUTPUT}', + f'sky logs {name} 1 --status', + f'sky status -r {name} | grep UP', + f'sleep {autostop_timeout}', + + # Ensure cluster is stopped + f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep STOPPED', + + # Launch again. Do full output validation - we expect the cluster to re-launch + f'unset SKYPILOT_DEBUG; s=$(sky launch -y -c {name} --fast -i 1 tests/test_yamls/minimal.yaml) && {_VALIDATE_LAUNCH_OUTPUT}', + f'sky logs {name} 2 --status', + f'sky status -r {name} | grep UP', + ], + f'sky down -y {name}', + timeout=_get_timeout(generic_cloud) + autostop_timeout, + ) + run_one_test(test) + + # ---------- Test region ---------- @pytest.mark.aws def test_aws_region(): @@ -4376,6 +4439,28 @@ def test_core_api_sky_launch_exec(): sky.down(name) +# The sky launch CLI has some additional checks to make sure the cluster is up/ +# restarted. However, the core API doesn't have these; make sure it still works +def test_core_api_sky_launch_fast(generic_cloud: str): + name = _get_cluster_name() + cloud = sky.clouds.CLOUD_REGISTRY.from_str(generic_cloud) + try: + task = sky.Task(run="whoami").set_resources(sky.Resources(cloud=cloud)) + sky.launch(task, + cluster_name=name, + idle_minutes_to_autostop=1, + fast=True) + # Sleep to let the cluster autostop + time.sleep(120) + # Run it again - should work with fast=True + sky.launch(task, + cluster_name=name, + idle_minutes_to_autostop=1, + fast=True) + finally: + sky.down(name) + + # ---------- Testing Storage ---------- class TestStorageWithCredentials: """Storage tests which require credentials and network connection""" From 1a9e90d55d174cef9166b759e4eafdb944aab172 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Thu, 31 Oct 2024 11:36:09 -0700 Subject: [PATCH 033/152] [Docs] Tpu v6 docs (#4221) * Update TPU v6 docs * tpu v6 docs * add TPU v6 * update * Fix tpu docs * fix indents * restructure TPU doc * Fix * Fix * fix * Fix TPU * fix docs * Update docs/source/reference/tpu.rst Co-authored-by: Tian Xia --------- Co-authored-by: Tian Xia --- docs/source/reference/tpu.rst | 323 +++++++++++++++++++--------------- 1 file changed, 179 insertions(+), 144 deletions(-) diff --git a/docs/source/reference/tpu.rst b/docs/source/reference/tpu.rst index c34d10dab3c..a753c26bd31 100644 --- a/docs/source/reference/tpu.rst +++ b/docs/source/reference/tpu.rst @@ -20,104 +20,232 @@ Use one command to quickly get TPU nodes for development: .. code-block:: bash - sky launch --gpus tpu-v2-8 + # Use latest TPU v6 (Trillium) VMs: + sky launch --gpus tpu-v6e-8 + # Use TPU v4 (Titan) VMs: + sky launch --gpus tpu-v4-8 # Preemptible TPUs: - sky launch --gpus tpu-v2-8 --use-spot - # Change TPU type to tpu-v3-8: - sky launch --gpus tpu-v3-8 - # Change the host VM type to n1-highmem-16: - sky launch --gpus tpu-v3-8 -t n1-highmem-16 + sky launch --gpus tpu-v6e-8 --use-spot After the command finishes, you will be dropped into a TPU host VM and can start developing code right away. -Below, we show examples of using SkyPilot to run MNIST training on (1) TPU VMs and (2) TPU Nodes. +Below, we show examples of using SkyPilot to (1) train LLMs on TPU VMs/Pods and (2) train MNIST on TPU Nodes (legacy). TPU Architectures ================= Two different TPU architectures are available on GCP: -- `TPU VMs `_ +- `TPU VMs/Pods `_ - `TPU Nodes `_ -Both are supported by SkyPilot. We recommend TPU VMs which is a newer architecture encouraged by GCP. +Both are supported by SkyPilot. We recommend TPU VMs and Pods which are newer architectures encouraged by GCP. The two architectures differ as follows. -For TPU VMs, you can directly SSH into the "TPU host" VM that is physically connected to the TPU device. -For TPU Nodes, a user VM (an `n1` instance) must be separately provisioned to communicate with an inaccessible TPU host over gRPC. + +* For TPU VMs/Pods, you can directly SSH into the "TPU host" VM that is physically connected to the TPU device. +* For TPU Nodes, a user VM (an `n1` instance) must be separately provisioned to communicate with an inaccessible TPU host over gRPC. + More details can be found on GCP `documentation `_. -TPU VMs -------- -To use TPU VMs, set the following in a task YAML's ``resources`` field: +.. _tpu-vms: + +TPU VMs/Pods +------------ + +Google's latest TPU v6 (Trillium) VMs offers great performance and it is now supported by SkyPilot. + +To use TPU VMs/Pods, set the following in a task YAML's ``resources`` field: .. code-block:: yaml resources: - accelerators: tpu-v2-8 + accelerators: tpu-v6e-8 accelerator_args: - runtime_version: tpu-vm-base # optional + runtime_version: v2-alpha-tpuv6e # optional The ``accelerators`` field specifies the TPU type, and the :code:`accelerator_args` dict includes the optional :code:`tpu_vm` bool (defaults to true, which means TPU VM is used), and an optional TPU ``runtime_version`` field. To show what TPU types are supported, run :code:`sky show-gpus`. -Here is a complete task YAML that runs `MNIST training `_ on a TPU VM using JAX. +Here is a complete task YAML that trains a `Llama 3 model `_ on a TPU VM using Torch XLA. .. code-block:: yaml - name: mnist-tpu-vm - resources: - accelerators: tpu-v2-8 - accelerator_args: - tpu_vm: True - runtime_version: tpu-vm-base + accelerators: tpu-v6e-8 # Fill in the accelerator type you want to use - setup: | - git clone https://github.com/google/flax.git + envs: + HF_TOKEN: # fill in your huggingface token - conda activate flax - if [ $? -eq 0 ]; then - echo 'conda env exists' - else - conda create -n flax python=3.8 -y - conda activate flax - # Make sure to install TPU related packages in a conda env to avoid package conflicts. - pip install "jax[tpu]>=0.2.16" -f https://storage.googleapis.com/jax-releases/libtpu_releases.html - pip install --upgrade clu - pip install -e flax - pip install tensorflow tensorflow-datasets - fi + workdir: . - run: | - conda activate flax - cd flax/examples/mnist - python3 main.py --workdir=/tmp/mnist \ - --config=configs/default.py \ - --config.learning_rate=0.05 \ - --config.num_epochs=10 + setup: | + pip3 install huggingface_hub + python3 -c "import huggingface_hub; huggingface_hub.login('${HF_TOKEN}')" + + # Setup TPU + pip3 install cloud-tpu-client + sudo apt update + sudo apt install -y libopenblas-base + pip3 install --pre torch==2.6.0.dev20240916+cpu torchvision==0.20.0.dev20240916+cpu \ + --index-url https://download.pytorch.org/whl/nightly/cpu + pip install "torch_xla[tpu]@https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-2.6.0.dev20240916-cp310-cp310-linux_x86_64.whl" \ + -f https://storage.googleapis.com/libtpu-releases/index.html + pip install torch_xla[pallas] \ + -f https://storage.googleapis.com/jax-releases/jax_nightly_releases.html \ + -f https://storage.googleapis.com/jax-releases/jaxlib_nightly_releases.html + + # Setup runtime for training + git clone -b flash_attention https://github.com/pytorch-tpu/transformers.git + cd transformers + pip3 install -e . + pip3 install datasets evaluate scikit-learn accelerate -This YAML lives under the `SkyPilot repo `_ (``examples/tpu/tpuvm_mnist.yaml``), or you can paste it into a local file. + run: | + unset LD_PRELOAD + PJRT_DEVICE=TPU XLA_USE_SPMD=1 ENABLE_PJRT_COMPATIBILITY=true \ + python3 transformers/examples/pytorch/language-modeling/run_clm.py \ + --dataset_name wikitext \ + --dataset_config_name wikitext-2-raw-v1 \ + --per_device_train_batch_size 16 \ + --do_train \ + --output_dir /home/$USER/tmp/test-clm \ + --overwrite_output_dir \ + --config_name /home/$USER/sky_workdir/config-8B.json \ + --cache_dir /home/$USER/cache \ + --tokenizer_name meta-llama/Meta-Llama-3-8B \ + --block_size 8192 \ + --optim adafactor \ + --save_strategy no \ + --logging_strategy no \ + --fsdp "full_shard" \ + --fsdp_config /home/$USER/sky_workdir/fsdp_config.json \ + --torch_dtype bfloat16 \ + --dataloader_drop_last yes \ + --flash_attention \ + --max_steps 20 + +This YAML lives under the `SkyPilot repo `__, or you can paste it into a local file. Launch it with: .. code-block:: console - $ sky launch examples/tpu/tpuvm_mnist.yaml -c mycluster + $ HF_TOKEN= sky launch train-llama3-8b.yaml -c llama-3-train --env HF_TOKEN You should see the following outputs when the job finishes. .. code-block:: console - $ sky launch examples/tpu/tpuvm_mnist.yaml -c mycluster + $ sky launch train-llama3-8b.yaml -c llama-3-train + (task, pid=17499) ***** train metrics ***** + (task, pid=17499) epoch = 1.1765 + (task, pid=17499) total_flos = 109935420GF + (task, pid=17499) train_loss = 10.6011 + (task, pid=17499) train_runtime = 0:11:12.77 + (task, pid=17499) train_samples = 282 + (task, pid=17499) train_samples_per_second = 0.476 + (task, pid=17499) train_steps_per_second = 0.03 + + +Multi-Host TPU Pods +------------------- + +A `TPU Pod `_ is a collection of TPU devices connected by dedicated high-speed network interfaces for high-performance training. + +To use a TPU Pod, simply change the ``accelerators`` field in the task YAML (e.g., :code:`tpu-v6e-8` -> :code:`tpu-v6e-32`). + +.. code-block:: yaml + :emphasize-lines: 2-2 + + resources: + accelerators: tpu-v6e-32 # Pods have > 8 cores (the last number) + +.. note:: + + Both TPU architectures, TPU VMs and TPU Nodes, can be used with TPU Pods. The example below is based on TPU VMs. + +To show all available TPU Pod types, run :code:`sky show-gpus` (more than 8 cores means Pods): + +.. code-block:: console + + GOOGLE_TPU AVAILABLE_QUANTITIES + tpu-v6e-8 1 + tpu-v6e-32 1 + tpu-v6e-128 1 + tpu-v6e-256 1 ... - (mnist-tpu-vm pid=10155) I0823 07:49:25.468526 139641357117440 train.py:146] epoch: 9, train_loss: 0.0120, train_accuracy: 99.64, test_loss: 0.0278, test_accuracy: 99.02 - (mnist-tpu-vm pid=10155) I0823 07:49:26.966874 139641357117440 train.py:146] epoch: 10, train_loss: 0.0095, train_accuracy: 99.73, test_loss: 0.0264, test_accuracy: 99.19 + +After creating a TPU Pod, multiple host VMs (e.g., :code:`tpu-v6e-32` comes with 4 host VMs) are launched. +Normally, the user needs to SSH into all hosts to prepare files and setup environments, and +then launch the job on each host, which is a tedious and error-prone process. + +SkyPilot automates away this complexity. From your laptop, a single :code:`sky launch` command will perform: + +- workdir/file_mounts syncing; and +- execute the setup/run commands on every host of the pod. + +We can run the same Llama 3 training job in on a TPU Pod with the following command, with a slight change to the YAML (``--per_device_train_batch_size`` from 16 to 32): + +.. code-block:: console + + $ HF_TOKEN= sky launch -c tpu-pod --gpus tpu-v6e-32 train-llama3-8b.yaml --env HF_TOKEN + +You should see the following output. + +.. code-block:: console + + (head, rank=0, pid=17894) ***** train metrics ***** + (head, rank=0, pid=17894) epoch = 2.5 + (head, rank=0, pid=17894) total_flos = 219870840GF + (head, rank=0, pid=17894) train_loss = 10.1527 + (head, rank=0, pid=17894) train_runtime = 0:11:13.18 + (head, rank=0, pid=17894) train_samples = 282 + (head, rank=0, pid=17894) train_samples_per_second = 0.951 + (head, rank=0, pid=17894) train_steps_per_second = 0.03 + + (worker1, rank=1, pid=15406, ip=10.164.0.57) ***** train metrics ***** + (worker1, rank=1, pid=15406, ip=10.164.0.57) epoch = 2.5 + (worker1, rank=1, pid=15406, ip=10.164.0.57) total_flos = 219870840GF + (worker1, rank=1, pid=15406, ip=10.164.0.57) train_loss = 10.1527 + (worker1, rank=1, pid=15406, ip=10.164.0.57) train_runtime = 0:11:15.08 + (worker1, rank=1, pid=15406, ip=10.164.0.57) train_samples = 282 + (worker1, rank=1, pid=15406, ip=10.164.0.57) train_samples_per_second = 0.948 + (worker1, rank=1, pid=15406, ip=10.164.0.57) train_steps_per_second = 0.03 + + (worker2, rank=2, pid=16552, ip=10.164.0.58) ***** train metrics ***** + (worker2, rank=2, pid=16552, ip=10.164.0.58) epoch = 2.5 + (worker2, rank=2, pid=16552, ip=10.164.0.58) total_flos = 219870840GF + (worker2, rank=2, pid=16552, ip=10.164.0.58) train_loss = 10.1527 + (worker2, rank=2, pid=16552, ip=10.164.0.58) train_runtime = 0:11:15.61 + (worker2, rank=2, pid=16552, ip=10.164.0.58) train_samples = 282 + (worker2, rank=2, pid=16552, ip=10.164.0.58) train_samples_per_second = 0.947 + (worker2, rank=2, pid=16552, ip=10.164.0.58) train_steps_per_second = 0.03 + + (worker3, rank=3, pid=17469, ip=10.164.0.59) ***** train metrics ***** + (worker3, rank=3, pid=17469, ip=10.164.0.59) epoch = 2.5 + (worker3, rank=3, pid=17469, ip=10.164.0.59) total_flos = 219870840GF + (worker3, rank=3, pid=17469, ip=10.164.0.59) train_loss = 10.1527 + (worker3, rank=3, pid=17469, ip=10.164.0.59) train_runtime = 0:11:15.10 + (worker3, rank=3, pid=17469, ip=10.164.0.59) train_samples = 282 + (worker3, rank=3, pid=17469, ip=10.164.0.59) train_samples_per_second = 0.948 + (worker3, rank=3, pid=17469, ip=10.164.0.59) train_steps_per_second = 0.03 + + +To submit more jobs to the same TPU Pod, use :code:`sky exec`: + +.. code-block:: console + + $ HF_TOKEN= sky exec tpu-pod train-llama3-8b.yaml --env HF_TOKEN -TPU Nodes ---------- +**You can find more useful examples for Serving LLMs on TPUs in** `SkyPilot repo `__. + + + +TPU Nodes (Legacy) +------------------ In a TPU Node, a normal CPU VM (an `n1` instance) needs to be provisioned to communicate with the TPU host/device. @@ -215,96 +343,3 @@ This YAML lives under the `SkyPilot repo `_ is a collection of TPU devices connected by dedicated high-speed network interfaces for high-performance training. - -To use a TPU Pod, simply change the ``accelerators`` field in the task YAML (e.g., :code:`v2-8` -> :code:`v2-32`). - -.. code-block:: yaml - :emphasize-lines: 2-2 - - resources: - accelerators: tpu-v2-32 # Pods have > 8 cores (the last number) - accelerator_args: - runtime_version: tpu-vm-base - -.. note:: - - Both TPU architectures, TPU VMs and TPU Nodes, can be used with TPU Pods. The example below is based on TPU VMs. - -To show all available TPU Pod types, run :code:`sky show-gpus` (more than 8 cores means Pods): - -.. code-block:: console - - GOOGLE_TPU AVAILABLE_QUANTITIES - tpu-v2-8 1 - tpu-v2-32 1 - tpu-v2-128 1 - tpu-v2-256 1 - tpu-v2-512 1 - tpu-v3-8 1 - tpu-v3-32 1 - tpu-v3-64 1 - tpu-v3-128 1 - tpu-v3-256 1 - tpu-v3-512 1 - tpu-v3-1024 1 - tpu-v3-2048 1 - -After creating a TPU Pod, multiple host VMs (e.g., :code:`v2-32` comes with 4 host VMs) are launched. -Normally, the user needs to SSH into all hosts (depending on the architecture used, either the ``n1`` User VMs or the TPU Host VMs) to prepare files and setup environments, and -then launch the job on each host, which is a tedious and error-prone process. - -SkyPilot automates away this complexity. From your laptop, a single :code:`sky launch` command will perform: - -- workdir/file_mounts syncing; and -- execute the setup/run commands on every host of the pod. - -Here is a task YAML for a cifar10 training job on a :code:`v2-32` TPU Pod with JAX (`code repo `_): - -.. code-block:: yaml - - name: cifar-tpu-pod - - resources: - accelerators: tpu-v2-32 - accelerator_args: - runtime_version: tpu-vm-base - - setup: | - git clone https://github.com/infwinston/tpu-example.git - cd tpu-example - pip install "jax[tpu]" -f https://storage.googleapis.com/jax-releases/libtpu_releases.html - pip install -r requirements.txt - - run: | - python -u tpu-example/train.py - -Launch it with: - -.. code-block:: console - - $ sky launch examples/tpu/cifar_pod.yaml -c mycluster - -You should see the following output. - -.. code-block:: console - - (node-0 pid=57977, ip=10.164.0.24) JAX process: 1 / 4 - (node-3 pid=57963, ip=10.164.0.26) JAX process: 3 / 4 - (node-2 pid=57922, ip=10.164.0.25) JAX process: 2 / 4 - (node-1 pid=63223) JAX process: 0 / 4 - ... - (node-0 pid=57977, ip=10.164.0.24) [ 1000/100000] time 0.034 ( 0.063) data 0.008 ( 0.008) loss 1.215 ( 1.489) acc 68.750 (46.163) - -.. note:: - - By default, outputs from all hosts are shown with the ``node-`` prefix. Use :code:`jax.process_index()` to control which host to print messages. - -To submit more jobs to the same TPU Pod, use :code:`sky exec`: - -.. code-block:: console - - $ sky exec mycluster examples/tpu/cifar_pod.yaml From 599e15596f3996a1a91dcc1f4f89ceccffff1819 Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Thu, 31 Oct 2024 14:09:52 -0700 Subject: [PATCH 034/152] [ux] add sky jobs launch --fast (#4231) * [ux] add sky jobs launch --fast This flag will make the jobs controller launch use `sky launch --fast`. There are a few known situations where this can cause misbehavior in the jobs controller: - The SkyPilot wheel is outdated (due to changes in the SkyPilot code or a version upgrade). - The user's cloud credentials have changed. In this case the new credentials will not be synced, and if there are new clouds available in `sky check`, the cloud depedencies may not be correctly installed. However, this does speed up `jobs launch` _significantly_, so provide it as a dangerous option. Soon we will add robustness checks to `sky launch --fast` that will fix the above caveats, and we can remove this flag and just enable the behavior by default. * Apply suggestions from code review Co-authored-by: Romil Bhardwaj * fix lint --------- Co-authored-by: Romil Bhardwaj --- sky/cli.py | 13 ++++++++++++- sky/jobs/core.py | 5 +++++ 2 files changed, 17 insertions(+), 1 deletion(-) diff --git a/sky/cli.py b/sky/cli.py index ce3ad16ecb9..462e8a5b9de 100644 --- a/sky/cli.py +++ b/sky/cli.py @@ -3560,6 +3560,15 @@ def jobs(): default=False, required=False, help='Skip confirmation prompt.') +# TODO(cooperc): remove this flag once --fast can robustly detect cluster +# yaml config changes +@click.option('--fast', + default=False, + is_flag=True, + help='[Experimental] Launch the job faster by skipping ' + 'controller initialization steps. If you update SkyPilot or ' + 'your local cloud credentials, they will not be reflected until ' + 'you run `sky jobs launch` at least once without this flag.') @timeline.event @usage_lib.entrypoint def jobs_launch( @@ -3586,6 +3595,7 @@ def jobs_launch( detach_run: bool, retry_until_up: bool, yes: bool, + fast: bool, ): """Launch a managed job from a YAML or a command. @@ -3669,7 +3679,8 @@ def jobs_launch( managed_jobs.launch(dag, name, detach_run=detach_run, - retry_until_up=retry_until_up) + retry_until_up=retry_until_up, + fast=fast) @jobs.command('queue', cls=_DocumentedCodeCommand) diff --git a/sky/jobs/core.py b/sky/jobs/core.py index 6c1ac42d192..5668e19332a 100644 --- a/sky/jobs/core.py +++ b/sky/jobs/core.py @@ -36,6 +36,7 @@ def launch( stream_logs: bool = True, detach_run: bool = False, retry_until_up: bool = False, + fast: bool = False, ) -> None: # NOTE(dev): Keep the docstring consistent between the Python API and CLI. """Launch a managed job. @@ -47,6 +48,9 @@ def launch( managed job. name: Name of the managed job. detach_run: Whether to detach the run. + fast: Whether to use sky.launch(fast=True) for the jobs controller. If + True, the SkyPilot wheel and the cloud credentials may not be updated + on the jobs controller. Raises: ValueError: cluster does not exist. Or, the entrypoint is not a valid @@ -138,6 +142,7 @@ def launch( idle_minutes_to_autostop=skylet_constants. CONTROLLER_IDLE_MINUTES_TO_AUTOSTOP, retry_until_up=True, + fast=fast, _disable_controller_check=True) From e8d0130b84ec88a0cd407cd214174d29335cf598 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Thu, 31 Oct 2024 15:16:52 -0700 Subject: [PATCH 035/152] [UX] Show 0.25 on controller queue (#4230) * Show 0.25 on controller queue * format --- sky/backends/backend_utils.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/sky/backends/backend_utils.py b/sky/backends/backend_utils.py index da1e68991a4..e4633ef0671 100644 --- a/sky/backends/backend_utils.py +++ b/sky/backends/backend_utils.py @@ -2498,10 +2498,12 @@ def get_task_resources_str(task: 'task_lib.Task', the accelerator demands (if any). Otherwise, the CPU demand is shown. """ spot_str = '' + is_controller_task = task.is_controller_task() task_cpu_demand = (str(constants.CONTROLLER_PROCESS_CPU_DEMAND) - if task.is_controller_task() else - str(DEFAULT_TASK_CPU_DEMAND)) - if task.best_resources is not None: + if is_controller_task else str(DEFAULT_TASK_CPU_DEMAND)) + if is_controller_task: + resources_str = f'CPU:{task_cpu_demand}' + elif task.best_resources is not None: accelerator_dict = task.best_resources.accelerators if is_managed_job: if task.best_resources.use_spot: From bf17e87d2f7887ee7d741a298a7094d6d25656cb Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Thu, 31 Oct 2024 22:49:51 -0700 Subject: [PATCH 036/152] [Storage] Avoid opt-in regions for S3 (#4239) * S3 fix + timeout * S3 fix + timeout * lint --- sky/data/storage.py | 19 +++++++++++++++++-- tests/test_smoke.py | 2 +- 2 files changed, 18 insertions(+), 3 deletions(-) diff --git a/sky/data/storage.py b/sky/data/storage.py index 6fbb95a8c56..897f2f96b94 100644 --- a/sky/data/storage.py +++ b/sky/data/storage.py @@ -1082,16 +1082,31 @@ class S3Store(AbstractStore): for S3 buckets. """ + _DEFAULT_REGION = 'us-east-1' _ACCESS_DENIED_MESSAGE = 'Access Denied' + _CUSTOM_ENDPOINT_REGIONS = [ + 'ap-east-1', 'me-south-1', 'af-south-1', 'eu-south-1', 'eu-south-2', + 'ap-south-2', 'ap-southeast-3', 'ap-southeast-4', 'me-central-1', + 'il-central-1' + ] def __init__(self, name: str, source: str, - region: Optional[str] = 'us-east-2', + region: Optional[str] = _DEFAULT_REGION, is_sky_managed: Optional[bool] = None, sync_on_reconstruction: bool = True): self.client: 'boto3.client.Client' self.bucket: 'StorageHandle' + # TODO(romilb): This is purely a stopgap fix for + # https://github.com/skypilot-org/skypilot/issues/3405 + # We should eventually make all opt-in regions also work for S3 by + # passing the right endpoint flags. + if region in self._CUSTOM_ENDPOINT_REGIONS: + logger.warning('AWS opt-in regions are not supported for S3. ' + f'Falling back to default region ' + f'{self._DEFAULT_REGION} for bucket {name!r}.') + region = self._DEFAULT_REGION super().__init__(name, source, region, is_sky_managed, sync_on_reconstruction) @@ -1424,7 +1439,7 @@ def mount_command(self, mount_path: str) -> str: def _create_s3_bucket(self, bucket_name: str, - region='us-east-2') -> StorageHandle: + region=_DEFAULT_REGION) -> StorageHandle: """Creates S3 bucket with specific name in specific region Args: diff --git a/tests/test_smoke.py b/tests/test_smoke.py index 61bf0954131..cdfd9dfc7cb 100644 --- a/tests/test_smoke.py +++ b/tests/test_smoke.py @@ -3102,7 +3102,7 @@ def test_managed_jobs_cancellation_aws(aws_config_region): # Test cancellation during spot cluster being launched. f'sky jobs launch --cloud aws --region {region} -n {name} --use-spot "sleep 1000" -y -d', 'sleep 60', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "STARTING"', + f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "STARTING\|RUNNING"', f'sky jobs cancel -y -n {name}', 'sleep 5', f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "CANCELLING\|CANCELLED"', From bc51eae0f19cacd01da6834fe60befb5ad9a8ff7 Mon Sep 17 00:00:00 2001 From: Yika Date: Fri, 1 Nov 2024 10:18:21 -0700 Subject: [PATCH 037/152] Update K8s docker image build and the source artifact registry (#4224) * Attempt at improving performance of k8s cluster launch * remove conda env creation * add multiple regions * K8s sky launch pulls the new docker images * Move k8s script * use us region only * typo --- Dockerfile_k8s | 24 +++++-------- Dockerfile_k8s_gpu | 19 ++++------ sky/clouds/kubernetes.py | 4 +-- sky/clouds/service_catalog/images/README.md | 12 +++++-- .../images/skypilot-k8s-image.sh | 35 ++++++++++--------- .../service_catalog/kubernetes_catalog.py | 14 +++++++- 6 files changed, 60 insertions(+), 48 deletions(-) rename tests/kubernetes/build_image.sh => sky/clouds/service_catalog/images/skypilot-k8s-image.sh (78%) diff --git a/Dockerfile_k8s b/Dockerfile_k8s index 63def8682b2..45625871078 100644 --- a/Dockerfile_k8s +++ b/Dockerfile_k8s @@ -1,4 +1,4 @@ -FROM continuumio/miniconda3:23.3.1-0 +FROM --platform=linux/amd64 continuumio/miniconda3:23.3.1-0 # TODO(romilb): Investigate if this image can be consolidated with the skypilot # client image (`Dockerfile`) @@ -33,21 +33,15 @@ ENV HOME /home/sky # Set current working directory WORKDIR /home/sky -# Install SkyPilot pip dependencies preemptively to speed up provisioning time -RUN conda init && \ - pip install wheel Click colorama cryptography jinja2 jsonschema networkx \ - oauth2client pandas pendulum PrettyTable rich tabulate filelock packaging \ - 'protobuf<4.0.0' pulp pycryptodome==3.12.0 docker kubernetes==28.1.0 \ - grpcio==1.51.3 python-dotenv==1.0.1 ray[default]==2.9.3 && \ +# Install skypilot dependencies +RUN conda init && export PIP_DISABLE_PIP_VERSION_CHECK=1 && \ + python3 -m venv ~/skypilot-runtime && \ + PYTHON_EXEC=$(echo ~/skypilot-runtime)/bin/python && \ + $PYTHON_EXEC -m pip install 'skypilot-nightly[remote,kubernetes]' 'ray[default]==2.9.3' 'pycryptodome==3.12.0' && \ + $PYTHON_EXEC -m pip uninstall skypilot-nightly -y && \ curl -LO "https://dl.k8s.io/release/v1.28.11/bin/linux/amd64/kubectl" && \ - sudo install -o root -g root -m 0755 kubectl /usr/local/bin/kubectl - -# Add /home/sky/.local/bin/ to PATH -RUN echo 'export PATH="$PATH:$HOME/.local/bin"' >> ~/.bashrc - -# Copy SkyPilot code base. This is required for the ssh jump pod to find the -# lifecycle management scripts -COPY --chown=sky . /skypilot/sky/ + sudo install -o root -g root -m 0755 kubectl /usr/local/bin/kubectl && \ + echo 'export PATH="$PATH:$HOME/.local/bin"' >> ~/.bashrc # Set PYTHONUNBUFFERED=1 to have Python print to stdout/stderr immediately ENV PYTHONUNBUFFERED=1 diff --git a/Dockerfile_k8s_gpu b/Dockerfile_k8s_gpu index f9bc7258c61..09570d102df 100644 --- a/Dockerfile_k8s_gpu +++ b/Dockerfile_k8s_gpu @@ -41,19 +41,14 @@ RUN curl https://repo.anaconda.com/miniconda/Miniconda3-py310_23.11.0-2-Linux-x8 eval "$(~/miniconda3/bin/conda shell.bash hook)" && conda init && conda config --set auto_activate_base true && conda activate base && \ grep "# >>> conda initialize >>>" ~/.bashrc || { conda init && source ~/.bashrc; } && \ rm Miniconda3-Linux-x86_64.sh && \ - pip install wheel Click colorama cryptography jinja2 jsonschema networkx \ - oauth2client pandas pendulum PrettyTable rich tabulate filelock packaging \ - 'protobuf<4.0.0' pulp pycryptodome==3.12.0 docker kubernetes==28.1.0 \ - grpcio==1.51.3 python-dotenv==1.0.1 ray[default]==2.9.3 && \ + export PIP_DISABLE_PIP_VERSION_CHECK=1 && \ + python3 -m venv ~/skypilot-runtime && \ + PYTHON_EXEC=$(echo ~/skypilot-runtime)/bin/python && \ + $PYTHON_EXEC -m pip install 'skypilot-nightly[remote,kubernetes]' 'ray[default]==2.9.3' 'pycryptodome==3.12.0' && \ + $PYTHON_EXEC -m pip uninstall skypilot-nightly -y && \ curl -LO "https://dl.k8s.io/release/v1.28.11/bin/linux/amd64/kubectl" && \ - sudo install -o root -g root -m 0755 kubectl /usr/local/bin/kubectl - -# Add /home/sky/.local/bin/ to PATH -RUN echo 'export PATH="$PATH:$HOME/.local/bin"' >> ~/.bashrc - -# Copy SkyPilot code base. This is required for the ssh jump pod to find the -# lifecycle management scripts -COPY --chown=sky . /skypilot/sky/ + sudo install -o root -g root -m 0755 kubectl /usr/local/bin/kubectl && \ + echo 'export PATH="$PATH:$HOME/.local/bin"' >> ~/.bashrc # Set PYTHONUNBUFFERED=1 to have Python print to stdout/stderr immediately ENV PYTHONUNBUFFERED=1 diff --git a/sky/clouds/kubernetes.py b/sky/clouds/kubernetes.py index 39ddbe30577..d930a24271f 100644 --- a/sky/clouds/kubernetes.py +++ b/sky/clouds/kubernetes.py @@ -68,8 +68,8 @@ class Kubernetes(clouds.Cloud): 'Kubernetes.', } - IMAGE_CPU = 'skypilot:cpu-ubuntu-2004' - IMAGE_GPU = 'skypilot:gpu-ubuntu-2004' + IMAGE_CPU = 'skypilot:custom-cpu-ubuntu-2004' + IMAGE_GPU = 'skypilot:custom-gpu-ubuntu-2004' PROVISIONER_VERSION = clouds.ProvisionerVersion.SKYPILOT STATUS_VERSION = clouds.StatusVersion.SKYPILOT diff --git a/sky/clouds/service_catalog/images/README.md b/sky/clouds/service_catalog/images/README.md index 3784a940925..8f9d8e85f16 100644 --- a/sky/clouds/service_catalog/images/README.md +++ b/sky/clouds/service_catalog/images/README.md @@ -31,7 +31,7 @@ packer build ${IMAGE}.pkr.hcl 2. Make the image public ```bash # Make image public -export IMAGE_NAME=skypilot-gcp-cpu-ubuntu-20241029144600 # Update this +export IMAGE_NAME=skypilot-gcp-gpu-ubuntu-241030 # Update this export IMAGE_ID=projects/sky-dev-465/global/images/${IMAGE_NAME} gcloud compute images add-iam-policy-binding ${IMAGE_NAME} --member='allAuthenticatedUsers' --role='roles/compute.imageUser' ``` @@ -46,7 +46,7 @@ packer build ${IMAGE}.pkr.hcl 2. Copy images to all regions ```bash export TYPE=gpu # Update this -export IMAGE_ID=ami-05e9f5efd844f1a4f # Update this +export IMAGE_ID=ami-0989556a89639b1bb # Update this python aws_utils/image_gen.py --image-id ${IMAGE_ID} --processor ${TYPE} ``` 3. Add fallback images if any region failed \ @@ -65,6 +65,14 @@ packer build --var vm_generation=1 --var client_secret=${SECRET} skypilot-azure- packer build --var vm_generation=2 --var client_secret=${SECRET} --var use_grid_driver=true skypilot-azure-gpu-ubuntu.pkr.hcl ``` +### Kubernetes +1. Build the image +```bash +export REGION=europe # Update this: us, europe, asia +./skypilot-k8s-image.sh -p -l -r ${REGION} +./skypilot-k8s-image.sh -p -l -g -r ${REGION} +``` + ## Test Images 1. Minimal GPU test: `sky launch --image ${IMAGE_ID} --gpus=L4:1 --cloud ${CLOUD}` then run `nvidia-smi` in the launched instance. 2. Update the image ID in `sky/clouds/gcp.py` and run the test: diff --git a/tests/kubernetes/build_image.sh b/sky/clouds/service_catalog/images/skypilot-k8s-image.sh similarity index 78% rename from tests/kubernetes/build_image.sh rename to sky/clouds/service_catalog/images/skypilot-k8s-image.sh index 54d1d356b59..075aa7ae4bc 100755 --- a/tests/kubernetes/build_image.sh +++ b/sky/clouds/service_catalog/images/skypilot-k8s-image.sh @@ -1,38 +1,38 @@ #!/bin/bash # Builds the Dockerfile_k8s image as the SkyPilot image. -# Optionally, if -p is specified, pushes the image to the registry. # Uses buildx to build the image for both amd64 and arm64. -# If -p flag is specified, pushes the image to the registry. -# If -g flag is specified, builds the GPU image in Dockerfile_k8s_gpu. GPU image is built only for amd64. -# If -l flag is specified, uses the latest tag instead of the date tag. Date tag is of the form YYYYMMDD. -# Usage: ./build_image.sh [-p] [-g] +# Usage: ./skypilot-k8s-image.sh [-p] [-g] [-l] [-r region] # -p: Push the image to the registry -# -g: Build the GPU image -# -l: Use latest tag - -TAG=us-central1-docker.pkg.dev/skypilot-375900/skypilotk8s/skypilot - +# -g: Builds the GPU image in Dockerfile_k8s_gpu. GPU image is built only for amd64 +# -l: Use latest tag instead of the date tag. Date tag is of the form YYYYMMDD +# -r: Specify the region to be us, europe or asia +region=us push=false gpu=false latest=false # Parse command line arguments -while getopts ":pgl" opt; do +OPTSTRING=":pglr:" +while getopts ${OPTSTRING} opt; do case ${opt} in - p ) + p) push=true ;; - g ) + g) gpu=true ;; - l ) + l) latest=true ;; - \? ) - echo "Usage: ./build_image.sh [-p] [-g] [-l]" + r) + region=${OPTARG} + ;; + ?) + echo "Usage: ./build_image.sh [-p] [-g] [-l] [-r region]" echo "-p: Push the image to the registry" echo "-g: Build the GPU image" echo "-l: Use latest tag instead of the date tag" + echo "-r: Specify the region to be us, europe or asia" exit 1 ;; esac @@ -42,6 +42,9 @@ echo "Options:" echo "Push: $push" echo "GPU: $gpu" echo "Latest: $latest" +echo "Region: $region" + +TAG=$region-docker.pkg.dev/sky-dev-465/skypilotk8s/skypilot # Set the version tag. If the latest flag is used, use the latest tag if [[ $latest == "true" ]]; then diff --git a/sky/clouds/service_catalog/kubernetes_catalog.py b/sky/clouds/service_catalog/kubernetes_catalog.py index 2d0cdbf7cf6..7ff8f49c621 100644 --- a/sky/clouds/service_catalog/kubernetes_catalog.py +++ b/sky/clouds/service_catalog/kubernetes_catalog.py @@ -8,12 +8,15 @@ from typing import Dict, List, Optional, Set, Tuple from sky import check as sky_check +from sky import sky_logging from sky.adaptors import common as adaptors_common from sky.clouds import Kubernetes from sky.clouds.service_catalog import CloudFilter from sky.clouds.service_catalog import common from sky.provision.kubernetes import utils as kubernetes_utils +logger = sky_logging.init_logger(__name__) + if typing.TYPE_CHECKING: import pandas as pd else: @@ -31,7 +34,16 @@ def get_image_id_from_tag(tag: str, region: Optional[str]) -> Optional[str]: """Returns the image id from the tag.""" - return common.get_image_id_from_tag_impl(_image_df, tag, region) + global _image_df + image_id = common.get_image_id_from_tag_impl(_image_df, tag, region) + if image_id is None: + # Refresh the image catalog and try again, if the image tag is not + # found. + logger.debug('Refreshing the image catalog and trying again.') + _image_df = common.read_catalog('kubernetes/images.csv', + pull_frequency_hours=0) + image_id = common.get_image_id_from_tag_impl(_image_df, tag, region) + return image_id def is_image_tag_valid(tag: str, region: Optional[str]) -> bool: From 0f0008d41ecf4919b169541fb86a4ec60d1485ab Mon Sep 17 00:00:00 2001 From: Yika Date: Fri, 1 Nov 2024 17:10:09 -0700 Subject: [PATCH 038/152] Remove --system-site-packages when setup sky cluster (#4168) * Remove --system-site-packages when setup sky cluster * add comments --- sky/skylet/constants.py | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/sky/skylet/constants.py b/sky/skylet/constants.py index 032ad5d25b1..a9b8013cad7 100644 --- a/sky/skylet/constants.py +++ b/sky/skylet/constants.py @@ -44,9 +44,6 @@ # We need to add SKY_PYTHON_CMD before ray executable because: # The ray executable is a python script with a header like: # #!/opt/conda/bin/python3 -# When we create the skypilot-runtime venv, the previously installed ray -# executable will be reused (due to --system-site-packages), and that will cause -# running ray CLI commands to use the wrong python executable. SKY_RAY_CMD = (f'{SKY_PYTHON_CMD} $([ -s {SKY_RAY_PATH_FILE} ] && ' f'cat {SKY_RAY_PATH_FILE} 2> /dev/null || which ray)') # Separate env for SkyPilot runtime dependencies. @@ -152,10 +149,11 @@ f'conda create -y -n {SKY_REMOTE_PYTHON_ENV_NAME} python=3.10 && ' f'conda activate {SKY_REMOTE_PYTHON_ENV_NAME};' # Create a separate conda environment for SkyPilot dependencies. - # We use --system-site-packages to reuse the system site packages to avoid - # the overhead of installing the same packages in the new environment. f'[ -d {SKY_REMOTE_PYTHON_ENV} ] || ' - f'{SKY_PYTHON_CMD} -m venv {SKY_REMOTE_PYTHON_ENV} --system-site-packages;' + # Do NOT use --system-site-packages here, because if users upgrade any + # packages in the base env, they interfere with skypilot dependencies. + # Reference: https://github.com/skypilot-org/skypilot/issues/4097 + f'{SKY_PYTHON_CMD} -m venv {SKY_REMOTE_PYTHON_ENV};' f'echo "$(echo {SKY_REMOTE_PYTHON_ENV})/bin/python" > {SKY_PYTHON_PATH_FILE};' ) From 81532d0dce720562cce829a4f5a064567b06e479 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Mon, 4 Nov 2024 09:13:22 -0800 Subject: [PATCH 039/152] [AWS/Azure] Avoid error out during image size check (#4244) * Avoid error out during image size check * Avoid error for azure * lint --- sky/clouds/aws.py | 5 +++-- sky/clouds/azure.py | 6 +++++- 2 files changed, 8 insertions(+), 3 deletions(-) diff --git a/sky/clouds/aws.py b/sky/clouds/aws.py index 43062ebf393..4a9f2d63f35 100644 --- a/sky/clouds/aws.py +++ b/sky/clouds/aws.py @@ -280,12 +280,12 @@ def get_image_size(cls, image_id: str, region: Optional[str]) -> float: if image_id.startswith('skypilot:'): return DEFAULT_AMI_GB assert region is not None, (image_id, region) - client = aws.client('ec2', region_name=region) image_not_found_message = ( f'Image {image_id!r} not found in AWS region {region}.\n' f'\nTo find AWS AMI IDs: https://docs.aws.amazon.com/cli/latest/reference/ec2/describe-images.html#examples\n' # pylint: disable=line-too-long 'Example: ami-0729d913a335efca7') try: + client = aws.client('ec2', region_name=region) image_info = client.describe_images(ImageIds=[image_id]) image_info = image_info.get('Images', []) if not image_info: @@ -294,7 +294,8 @@ def get_image_size(cls, image_id: str, region: Optional[str]) -> float: image_info = image_info[0] image_size = image_info['BlockDeviceMappings'][0]['Ebs'][ 'VolumeSize'] - except aws.botocore_exceptions().NoCredentialsError: + except (aws.botocore_exceptions().NoCredentialsError, + aws.botocore_exceptions().ProfileNotFound): # Fallback to default image size if no credentials are available. # The credentials issue will be caught when actually provisioning # the instance and appropriate errors will be raised there. diff --git a/sky/clouds/azure.py b/sky/clouds/azure.py index edd5840d271..9d399869666 100644 --- a/sky/clouds/azure.py +++ b/sky/clouds/azure.py @@ -175,7 +175,11 @@ def get_image_size(cls, image_id: str, region: Optional[str]) -> float: # Process user-specified images. azure_utils.validate_image_id(image_id) - compute_client = azure.get_client('compute', cls.get_project_id()) + try: + compute_client = azure.get_client('compute', cls.get_project_id()) + except (azure.exceptions().AzureError, RuntimeError): + # Fallback to default image size if no credentials are available. + return 0.0 # Community gallery image. if image_id.startswith(_COMMUNITY_IMAGE_PREFIX): From f1cf2e2a866c9f537c1bfaacf45eada1a7aa8bef Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Mon, 4 Nov 2024 11:22:06 -0800 Subject: [PATCH 040/152] [AWS] Disable additional auto update services for ubuntu image with cloud-init (#4252) * Disable additional auto update services for ubuntu image * simplify the commands --- sky/templates/aws-ray.yml.j2 | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/sky/templates/aws-ray.yml.j2 b/sky/templates/aws-ray.yml.j2 index 11c3c3e1a3c..269c4acc505 100644 --- a/sky/templates/aws-ray.yml.j2 +++ b/sky/templates/aws-ray.yml.j2 @@ -122,6 +122,11 @@ available_node_types: - path: /etc/apt/apt.conf.d/10cloudinit-disable content: | APT::Periodic::Enable "0"; + bootcmd: + - systemctl stop apt-daily.timer apt-daily-upgrade.timer unattended-upgrades.service + - systemctl disable apt-daily.timer apt-daily-upgrade.timer unattended-upgrades.service + - systemctl mask apt-daily.service apt-daily-upgrade.service unattended-upgrades.service + - systemctl daemon-reload TagSpecifications: - ResourceType: instance Tags: From 65efcd01b43cf640a1fda311e8c4cff89c130753 Mon Sep 17 00:00:00 2001 From: Zongheng Yang Date: Mon, 4 Nov 2024 11:26:11 -0800 Subject: [PATCH 041/152] [Dashboard] Add a simple status filter. (#4253) --- sky/jobs/dashboard/dashboard.py | 3 ++ sky/jobs/dashboard/templates/index.html | 43 ++++++++++++++++++++++--- 2 files changed, 41 insertions(+), 5 deletions(-) diff --git a/sky/jobs/dashboard/dashboard.py b/sky/jobs/dashboard/dashboard.py index 89c97274646..9077eab393b 100644 --- a/sky/jobs/dashboard/dashboard.py +++ b/sky/jobs/dashboard/dashboard.py @@ -74,11 +74,14 @@ def home(): # Remove filler rows ([''], ..., ['-']). rows = [row for row in rows if ''.join(map(str, row)) != ''] + # Get all unique status values. + status_values = sorted(list(set(row[-5] for row in rows))) rendered_html = flask.render_template( 'index.html', columns=columns, rows=rows, last_updated_timestamp=timestamp, + status_values=status_values, ) return rendered_html diff --git a/sky/jobs/dashboard/templates/index.html b/sky/jobs/dashboard/templates/index.html index af4f5708bce..7330f96b8cd 100644 --- a/sky/jobs/dashboard/templates/index.html +++ b/sky/jobs/dashboard/templates/index.html @@ -44,6 +44,22 @@ .clickable { cursor: pointer; /* This makes the cursor a pointer when hovering over the element */ } + + .filter-controls { + display: flex; + gap: 10px; + align-items: center; /* This ensures vertical alignment */ + margin-top: 1rem; + position: relative; + z-index: 2; + } + + /* Customize the select focus/hover states */ + .form-select:focus { + border-color: #dee2e6; + box-shadow: 0 0 0 0.1rem rgba(0,0,0,0.1); + } + From 47e51516051558027759ad0371a904921b74e2f7 Mon Sep 17 00:00:00 2001 From: Yika Date: Mon, 4 Nov 2024 15:39:58 -0800 Subject: [PATCH 042/152] Disable more potential unattended upgrade sources for AWS (#4246) * Fix AWS unattended upgrade issue * more commands * add retry and disable all unattended * remove retry * disable unattended upgrades and add retry in aws default image --- sky/clouds/service_catalog/images/aws_utils/image_gen.py | 2 +- sky/clouds/service_catalog/images/provisioners/skypilot.sh | 5 +++++ sky/templates/aws-ray.yml.j2 | 4 ++++ 3 files changed, 10 insertions(+), 1 deletion(-) diff --git a/sky/clouds/service_catalog/images/aws_utils/image_gen.py b/sky/clouds/service_catalog/images/aws_utils/image_gen.py index cadfee912a9..970988997d2 100644 --- a/sky/clouds/service_catalog/images/aws_utils/image_gen.py +++ b/sky/clouds/service_catalog/images/aws_utils/image_gen.py @@ -78,7 +78,7 @@ def copy_image_and_make_public(target_region): copy_command = ( f"aws ec2 copy-image --source-region {args.region} " f"--source-image-id {args.image_id} --region {target_region} " - f"--name 'skypilot-aws-{args.processor}-{args.os_type}-{time.time()}' --output json" + f"--name 'skypilot-aws-{args.processor}-{args.os_type}-{time.strftime('%y%m%d')}' --output json" ) print(copy_command) result = subprocess.run(copy_command, diff --git a/sky/clouds/service_catalog/images/provisioners/skypilot.sh b/sky/clouds/service_catalog/images/provisioners/skypilot.sh index cecb3664736..3bdb6dd0635 100644 --- a/sky/clouds/service_catalog/images/provisioners/skypilot.sh +++ b/sky/clouds/service_catalog/images/provisioners/skypilot.sh @@ -4,12 +4,17 @@ sudo systemctl stop unattended-upgrades || true sudo systemctl disable unattended-upgrades || true sudo sed -i 's/Unattended-Upgrade "1"/Unattended-Upgrade "0"/g' /etc/apt/apt.conf.d/20auto-upgrades || true +sudo systemctl stop apt-daily.timer apt-daily-upgrade.timer unattended-upgrades.service +sudo systemctl disable apt-daily.timer apt-daily-upgrade.timer unattended-upgrades.service +sudo systemctl mask apt-daily.service apt-daily-upgrade.service unattended-upgrades.service +sudo systemctl daemon-reload # Configure dpkg sudo dpkg --configure --force-overwrite -a # Apt-get installs sudo apt-get install jq -y +sudo apt install retry # Create necessary directories mkdir -p ~/sky_workdir diff --git a/sky/templates/aws-ray.yml.j2 b/sky/templates/aws-ray.yml.j2 index 269c4acc505..95751ab1849 100644 --- a/sky/templates/aws-ray.yml.j2 +++ b/sky/templates/aws-ray.yml.j2 @@ -122,6 +122,10 @@ available_node_types: - path: /etc/apt/apt.conf.d/10cloudinit-disable content: | APT::Periodic::Enable "0"; + - path: /etc/apt/apt.conf.d/52unattended-upgrades-local + content: | + Unattended-Upgrade::DevRelease "false"; + Unattended-Upgrade::Allowed-Origins {}; bootcmd: - systemctl stop apt-daily.timer apt-daily-upgrade.timer unattended-upgrades.service - systemctl disable apt-daily.timer apt-daily-upgrade.timer unattended-upgrades.service From c24a0b3a8f9b1d8193e27f976da9f3d71867506f Mon Sep 17 00:00:00 2001 From: Hysun He Date: Tue, 5 Nov 2024 11:50:56 +0800 Subject: [PATCH 043/152] [docs]: OCI key_file path clarrification (#4262) * [docs]: OCI key_file path clarrification * Update installation.rst --- docs/source/getting-started/installation.rst | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/source/getting-started/installation.rst b/docs/source/getting-started/installation.rst index cf6115ee9e8..69303a582e2 100644 --- a/docs/source/getting-started/installation.rst +++ b/docs/source/getting-started/installation.rst @@ -264,6 +264,7 @@ The :code:`~/.oci/config` file should contain the following fields: fingerprint=aa:bb:cc:dd:ee:ff:gg:hh:ii:jj:kk:ll:mm:nn:oo:pp tenancy=ocid1.tenancy.oc1..aaaaaaaa region=us-sanjose-1 + # Note that we should avoid using full home path for the key_file configuration, e.g. use ~/.oci instead of /home/username/.oci key_file=~/.oci/oci_api_key.pem From 877d77f79725f831aa8657d26458698f8214b214 Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Tue, 5 Nov 2024 13:21:22 -0800 Subject: [PATCH 044/152] [k8s] Parallelize setup for faster multi-node provisioning (#4240) * parallelize setup * lint * Add retries * lint * retry for get_remote_home_dir * optimize privilege check * parallelize termination * increase num threads * comments * lint --- sky/provision/kubernetes/instance.py | 122 +++++++++++++++++++++------ sky/utils/command_runner.py | 25 +++++- sky/utils/subprocess_utils.py | 14 ++- 3 files changed, 128 insertions(+), 33 deletions(-) diff --git a/sky/provision/kubernetes/instance.py b/sky/provision/kubernetes/instance.py index 26ed5f51a43..14eea45149c 100644 --- a/sky/provision/kubernetes/instance.py +++ b/sky/provision/kubernetes/instance.py @@ -2,7 +2,7 @@ import copy import json import time -from typing import Any, Dict, List, Optional +from typing import Any, Callable, Dict, List, Optional import uuid from sky import exceptions @@ -24,6 +24,8 @@ POLL_INTERVAL = 2 _TIMEOUT_FOR_POD_TERMINATION = 60 # 1 minutes +_MAX_RETRIES = 3 +NUM_THREADS = subprocess_utils.get_parallel_threads() * 2 logger = sky_logging.init_logger(__name__) TAG_RAY_CLUSTER_NAME = 'ray-cluster-name' @@ -304,6 +306,33 @@ def _check_init_containers(pod): time.sleep(1) +def _run_function_with_retries(func: Callable, + operation_name: str, + max_retries: int = _MAX_RETRIES, + retry_delay: int = 5) -> Any: + """Runs a function with retries on Kubernetes errors. + + Args: + func: Function to retry + operation_name: Name of the operation for logging + max_retries: Maximum number of retry attempts + retry_delay: Delay between retries in seconds + + Raises: + The last exception encountered if all retries fail. + """ + for attempt in range(max_retries + 1): + try: + return func() + except config_lib.KubernetesError: + if attempt < max_retries: + logger.warning(f'Failed to {operation_name} - ' + f'retrying in {retry_delay} seconds.') + time.sleep(retry_delay) + else: + raise + + def _set_env_vars_in_pods(namespace: str, context: Optional[str], new_pods: List): """Setting environment variables in pods. @@ -323,14 +352,27 @@ def _set_env_vars_in_pods(namespace: str, context: Optional[str], """ set_k8s_env_var_cmd = docker_utils.SETUP_ENV_VARS_CMD - for new_pod in new_pods: + def _set_env_vars_thread(new_pod): + pod_name = new_pod.metadata.name + logger.info(f'{"-"*20}Start: Set up env vars in pod {pod_name!r} ' + f'{"-"*20}') runner = command_runner.KubernetesCommandRunner( - ((namespace, context), new_pod.metadata.name)) - rc, stdout, _ = runner.run(set_k8s_env_var_cmd, - require_outputs=True, - stream_logs=False) - _raise_command_running_error('set env vars', set_k8s_env_var_cmd, - new_pod.metadata.name, rc, stdout) + ((namespace, context), pod_name)) + + def _run_env_vars_cmd(): + rc, stdout, _ = runner.run(set_k8s_env_var_cmd, + require_outputs=True, + stream_logs=False) + _raise_command_running_error('set env vars', set_k8s_env_var_cmd, + pod_name, rc, stdout) + + _run_function_with_retries(_run_env_vars_cmd, + f'set env vars in pod {pod_name}') + logger.info(f'{"-"*20}End: Set up env vars in pod {pod_name!r} ' + f'{"-"*20}') + + subprocess_utils.run_in_parallel(_set_env_vars_thread, new_pods, + NUM_THREADS) def _check_user_privilege(namespace: str, context: Optional[str], @@ -350,23 +392,37 @@ def _check_user_privilege(namespace: str, context: Optional[str], ' fi; ' 'fi') - for new_node in new_nodes: - runner = command_runner.KubernetesCommandRunner( - ((namespace, context), new_node.metadata.name)) + # This check needs to run on a per-image basis, so running the check on + # any one pod is sufficient. + new_node = new_nodes[0] + pod_name = new_node.metadata.name + + runner = command_runner.KubernetesCommandRunner( + ((namespace, context), pod_name)) + logger.info(f'{"-"*20}Start: Check user privilege in pod {pod_name!r} ' + f'{"-"*20}') + + def _run_privilege_check(): rc, stdout, stderr = runner.run(check_k8s_user_sudo_cmd, require_outputs=True, separate_stderr=True, stream_logs=False) _raise_command_running_error('check user privilege', - check_k8s_user_sudo_cmd, - new_node.metadata.name, rc, + check_k8s_user_sudo_cmd, pod_name, rc, stdout + stderr) - if stdout == str(exceptions.INSUFFICIENT_PRIVILEGES_CODE): - raise config_lib.KubernetesError( - 'Insufficient system privileges detected. ' - 'Ensure the default user has root access or ' - '"sudo" is installed and the user is added to the sudoers ' - 'from the image.') + return stdout + + stdout = _run_function_with_retries( + _run_privilege_check, f'check user privilege in pod {pod_name!r}') + + if stdout == str(exceptions.INSUFFICIENT_PRIVILEGES_CODE): + raise config_lib.KubernetesError( + 'Insufficient system privileges detected. ' + 'Ensure the default user has root access or ' + '"sudo" is installed and the user is added to the sudoers ' + 'from the image.') + logger.info(f'{"-"*20}End: Check user privilege in pod {pod_name!r} ' + f'{"-"*20}') def _setup_ssh_in_pods(namespace: str, context: Optional[str], @@ -405,14 +461,19 @@ def _setup_ssh_thread(new_node): runner = command_runner.KubernetesCommandRunner( ((namespace, context), pod_name)) logger.info(f'{"-"*20}Start: Set up SSH in pod {pod_name!r} {"-"*20}') - rc, stdout, _ = runner.run(set_k8s_ssh_cmd, - require_outputs=True, - stream_logs=False) - _raise_command_running_error('setup ssh', set_k8s_ssh_cmd, pod_name, rc, - stdout) + + def _run_ssh_setup(): + rc, stdout, _ = runner.run(set_k8s_ssh_cmd, + require_outputs=True, + stream_logs=False) + _raise_command_running_error('setup ssh', set_k8s_ssh_cmd, pod_name, + rc, stdout) + + _run_function_with_retries(_run_ssh_setup, + f'setup ssh in pod {pod_name!r}') logger.info(f'{"-"*20}End: Set up SSH in pod {pod_name!r} {"-"*20}') - subprocess_utils.run_in_parallel(_setup_ssh_thread, new_nodes) + subprocess_utils.run_in_parallel(_setup_ssh_thread, new_nodes, NUM_THREADS) def _label_pod(namespace: str, context: Optional[str], pod_name: str, @@ -765,12 +826,17 @@ def terminate_instances( def _is_head(pod) -> bool: return pod.metadata.labels[constants.TAG_RAY_NODE_KIND] == 'head' - for pod_name, pod in pods.items(): - logger.debug(f'Terminating instance {pod_name}: {pod}') + def _terminate_pod_thread(pod_info): + pod_name, pod = pod_info if _is_head(pod) and worker_only: - continue + return + logger.debug(f'Terminating instance {pod_name}: {pod}') _terminate_node(namespace, context, pod_name) + # Run pod termination in parallel + subprocess_utils.run_in_parallel(_terminate_pod_thread, pods.items(), + NUM_THREADS) + def get_cluster_info( region: str, diff --git a/sky/utils/command_runner.py b/sky/utils/command_runner.py index 7eae76040d8..25483031038 100644 --- a/sky/utils/command_runner.py +++ b/sky/utils/command_runner.py @@ -237,6 +237,23 @@ def _rsync( rsync_command.append(prefix_command) rsync_command += ['rsync', RSYNC_DISPLAY_OPTION] + def _get_remote_home_dir_with_retry(): + backoff = common_utils.Backoff(initial_backoff=1, + max_backoff_factor=5) + retries_left = max_retry + assert retries_left > 0, f'max_retry {max_retry} must be positive.' + while retries_left >= 0: + try: + return get_remote_home_dir() + except Exception: # pylint: disable=broad-except + if retries_left == 0: + raise + sleep_time = backoff.current_backoff() + logger.warning(f'Failed to get remote home dir ' + f'- retrying in {sleep_time} seconds.') + retries_left -= 1 + time.sleep(sleep_time) + # --filter # The source is a local path, so we need to resolve it. resolved_source = pathlib.Path(source).expanduser().resolve() @@ -261,7 +278,7 @@ def _rsync( if up: resolved_target = target if target.startswith('~'): - remote_home_dir = get_remote_home_dir() + remote_home_dir = _get_remote_home_dir_with_retry() resolved_target = target.replace('~', remote_home_dir) full_source_str = str(resolved_source) if resolved_source.is_dir(): @@ -273,7 +290,7 @@ def _rsync( else: resolved_source = source if source.startswith('~'): - remote_home_dir = get_remote_home_dir() + remote_home_dir = _get_remote_home_dir_with_retry() resolved_source = source.replace('~', remote_home_dir) rsync_command.extend([ f'{node_destination}:{resolved_source!r}', @@ -656,6 +673,8 @@ def rsync( class KubernetesCommandRunner(CommandRunner): """Runner for Kubernetes commands.""" + _MAX_RETRIES_FOR_RSYNC = 3 + def __init__( self, node: Tuple[Tuple[str, Optional[str]], str], @@ -798,7 +817,7 @@ def rsync( # Advanced options. log_path: str = os.devnull, stream_logs: bool = True, - max_retry: int = 1, + max_retry: int = _MAX_RETRIES_FOR_RSYNC, ) -> None: """Uses 'rsync' to sync 'source' to 'target'. diff --git a/sky/utils/subprocess_utils.py b/sky/utils/subprocess_utils.py index 303e3ddad99..acb8fb9f490 100644 --- a/sky/utils/subprocess_utils.py +++ b/sky/utils/subprocess_utils.py @@ -50,17 +50,27 @@ def get_parallel_threads() -> int: return max(4, cpu_count - 1) -def run_in_parallel(func: Callable, args: Iterable[Any]) -> List[Any]: +def run_in_parallel(func: Callable, + args: Iterable[Any], + num_threads: Optional[int] = None) -> List[Any]: """Run a function in parallel on a list of arguments. The function 'func' should raise a CommandError if the command fails. + Args: + func: The function to run in parallel + args: Iterable of arguments to pass to func + num_threads: Number of threads to use. If None, uses + get_parallel_threads() + Returns: A list of the return values of the function func, in the same order as the arguments. """ # Reference: https://stackoverflow.com/questions/25790279/python-multiprocessing-early-termination # pylint: disable=line-too-long - with pool.ThreadPool(processes=get_parallel_threads()) as p: + processes = num_threads if num_threads is not None else get_parallel_threads( + ) + with pool.ThreadPool(processes=processes) as p: # Run the function in parallel on the arguments, keeping the order. return list(p.imap(func, args)) From f2df7ed808793145ca7fa4e68c180499b46b40f9 Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Tue, 5 Nov 2024 18:46:07 -0800 Subject: [PATCH 045/152] do not redirect stderr to /dev/null when submitting job (#4247) * do not redirect stderr to /dev/null when submitting job Should fix #4199. * remove grep, add worker_maximum_startup_concurrency override --- sky/backends/cloud_vm_ray_backend.py | 7 ++++--- sky/provision/instance_setup.py | 26 +++++++++++++++++++++----- 2 files changed, 25 insertions(+), 8 deletions(-) diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index 0013e6cbaf9..acc218a8b6d 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -3278,9 +3278,10 @@ def _exec_code_on_head( f'{cd} && {constants.SKY_RAY_CMD} job submit ' '--address=http://127.0.0.1:$RAY_DASHBOARD_PORT ' f'--submission-id {job_id}-$(whoami) --no-wait ' - # Redirect stderr to /dev/null to avoid distracting error from ray. - f'"{constants.SKY_PYTHON_CMD} -u {script_path} > {remote_log_path} ' - '2> /dev/null"') + f'"{constants.SKY_PYTHON_CMD} -u {script_path} ' + # Do not use &>, which is not POSIX and may not work. + # Note that the order of ">filename 2>&1" matters. + f'> {remote_log_path} 2>&1"') code = job_lib.JobLibCodeGen.queue_job(job_id, job_submit_cmd) job_submit_cmd = ' && '.join([mkdir_code, create_script_code, code]) diff --git a/sky/provision/instance_setup.py b/sky/provision/instance_setup.py index 2d9ead3dc01..9eee33e63bd 100644 --- a/sky/provision/instance_setup.py +++ b/sky/provision/instance_setup.py @@ -283,11 +283,27 @@ def start_ray_on_head_node(cluster_name: str, custom_resource: Optional[str], # the same credentials. Otherwise, `ray status` will fail to fetch the # available nodes. # Reference: https://github.com/skypilot-org/skypilot/issues/2441 - cmd = (f'{constants.SKY_RAY_CMD} stop; ' - 'unset AWS_ACCESS_KEY_ID AWS_SECRET_ACCESS_KEY; ' - 'RAY_SCHEDULER_EVENTS=0 RAY_DEDUP_LOGS=0 ' - f'{constants.SKY_RAY_CMD} start --head {ray_options} || exit 1;' + - _RAY_PRLIMIT + _DUMP_RAY_PORTS + RAY_HEAD_WAIT_INITIALIZED_COMMAND) + cmd = ( + f'{constants.SKY_RAY_CMD} stop; ' + 'unset AWS_ACCESS_KEY_ID AWS_SECRET_ACCESS_KEY; ' + 'RAY_SCHEDULER_EVENTS=0 RAY_DEDUP_LOGS=0 ' + # worker_maximum_startup_concurrency controls the maximum number of + # workers that can be started concurrently. However, it also controls + # this warning message: + # https://github.com/ray-project/ray/blob/d5d03e6e24ae3cfafb87637ade795fb1480636e6/src/ray/raylet/worker_pool.cc#L1535-L1545 + # maximum_startup_concurrency defaults to the number of CPUs given by + # multiprocessing.cpu_count() or manually specified to ray. (See + # https://github.com/ray-project/ray/blob/fab26e1813779eb568acba01281c6dd963c13635/python/ray/_private/services.py#L1622-L1624.) + # The warning will show when the number of workers is >4x the + # maximum_startup_concurrency, so typically 4x CPU count. However, the + # job controller uses 0.25cpu reservations, and each job can use two + # workers (one for the submitted job and one for remote actors), + # resulting in a worker count of 8x CPUs or more. Increase the + # worker_maximum_startup_concurrency to 3x CPUs so that we will only see + # the warning when the worker count is >12x CPUs. + 'RAY_worker_maximum_startup_concurrency=$(( 3 * $(nproc --all) )) ' + f'{constants.SKY_RAY_CMD} start --head {ray_options} || exit 1;' + + _RAY_PRLIMIT + _DUMP_RAY_PORTS + RAY_HEAD_WAIT_INITIALIZED_COMMAND) logger.info(f'Running command on head node: {cmd}') # TODO(zhwu): add the output to log files. returncode, stdout, stderr = head_runner.run( From 1dcd2f009c1989cbc130e5b8490170a5a96c3e23 Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Tue, 5 Nov 2024 20:43:24 -0800 Subject: [PATCH 046/152] [tests] Exclude runpod from smoke tests unless specified (#4238) Add runpod --- tests/conftest.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/tests/conftest.py b/tests/conftest.py index aa0d0c88289..c5c0f4a1515 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -22,7 +22,7 @@ # --managed-jobs. all_clouds_in_smoke_tests = [ 'aws', 'gcp', 'azure', 'lambda', 'cloudflare', 'ibm', 'scp', 'oci', - 'kubernetes', 'vsphere', 'cudo', 'fluidstack', 'paperspace' + 'kubernetes', 'vsphere', 'cudo', 'fluidstack', 'paperspace', 'runpod' ] default_clouds_to_run = ['aws', 'azure'] @@ -43,6 +43,7 @@ 'fluidstack': 'fluidstack', 'cudo': 'cudo', 'paperspace': 'paperspace', + 'runpod': 'runpod' } From 654ed4a2b7623693be5c2a1b9cfc44348f275463 Mon Sep 17 00:00:00 2001 From: Cody Brownstein <105375373+cbrownstein-lambda@users.noreply.github.com> Date: Wed, 6 Nov 2024 14:30:08 -0800 Subject: [PATCH 047/152] Update comments pointing to Lambda's docs (#4272) --- sky/provision/lambda_cloud/lambda_utils.py | 4 ++-- sky/skylet/providers/scp/node_provider.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/sky/provision/lambda_cloud/lambda_utils.py b/sky/provision/lambda_cloud/lambda_utils.py index 339919e80e7..4d8e6246b6d 100644 --- a/sky/provision/lambda_cloud/lambda_utils.py +++ b/sky/provision/lambda_cloud/lambda_utils.py @@ -82,7 +82,7 @@ def raise_lambda_error(response: requests.Response) -> None: if status_code == 200: return if status_code == 429: - # https://docs.lambdalabs.com/cloud/rate-limiting/ + # https://docs.lambdalabs.com/public-cloud/cloud-api/ raise LambdaCloudError('Your API requests are being rate limited.') try: resp_json = response.json() @@ -145,7 +145,7 @@ def create_instances( # Most API requests are rate limited at ~1 request every second but # launch requests are rate limited at ~1 request every 10 seconds. # So don't use launch requests to check availability. - # See https://docs.lambdalabs.com/cloud/rate-limiting/ for more. + # See https://docs.lambdalabs.com/public-cloud/cloud-api/ for more. available_regions = (self.list_catalog()[instance_type] ['regions_with_capacity_available']) available_regions = [reg['name'] for reg in available_regions] diff --git a/sky/skylet/providers/scp/node_provider.py b/sky/skylet/providers/scp/node_provider.py index 955bb0f8e19..004eaac3830 100644 --- a/sky/skylet/providers/scp/node_provider.py +++ b/sky/skylet/providers/scp/node_provider.py @@ -180,7 +180,7 @@ def _extract_metadata(self, vm: Dict[str, Any]) -> Dict[str, Any]: metadata['tags'] = instance_info['tags'] # TODO(ewzeng): The internal ip is hard to get, so set it to the # external ip as a hack. This should be changed in the future. - # https://docs.lambdalabs.com/cloud/learn-private-ip-address/ + # https://docs.lambdalabs.com/public-cloud/on-demand/getting-started/#learn-your-instances-private-ip-address metadata['internal_ip'] = vm['ip'] metadata['external_ip'] = vm['external_ip'] return metadata From fe2ce9a262c059722ddce46f5594fc2ca2370c0d Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Wed, 6 Nov 2024 22:16:19 -0800 Subject: [PATCH 048/152] [Core] Avoid PENDING job to be set to FAILED and speed up job scheduling (#4264) * fix race condition for setting job status to FAILED during INIT * Fix * fix * format * Add smoke tests * revert pending submit * remove update entirely for the job schedule step * wait for job 32 to finish * fix smoke * move and rename * Add comment * minor --- examples/multi_echo.py | 6 +-- sky/skylet/job_lib.py | 86 +++++++++++++++++++----------- tests/test_smoke.py | 13 ++++- tests/test_yamls/pipeline_aws.yaml | 2 +- 4 files changed, 71 insertions(+), 36 deletions(-) diff --git a/examples/multi_echo.py b/examples/multi_echo.py index a9fe49fad2d..7f310a4bb6b 100644 --- a/examples/multi_echo.py +++ b/examples/multi_echo.py @@ -31,13 +31,13 @@ def run(cluster: Optional[str] = None, cloud: Optional[str] = None): # Submit multiple tasks in parallel to trigger queueing behaviors. def _exec(i): - task = sky.Task(run=f'echo {i}; sleep 5') - resources = sky.Resources(accelerators={'T4': 0.5}) + task = sky.Task(run=f'echo {i}; sleep 60') + resources = sky.Resources(accelerators={'T4': 0.05}) task.set_resources(resources) sky.exec(task, cluster_name=cluster, detach_run=True) with pool.ThreadPool(8) as p: - list(p.imap(_exec, range(32))) + list(p.imap(_exec, range(150))) if __name__ == '__main__': diff --git a/sky/skylet/job_lib.py b/sky/skylet/job_lib.py index 12d42d8c79c..fba015618f2 100644 --- a/sky/skylet/job_lib.py +++ b/sky/skylet/job_lib.py @@ -181,14 +181,19 @@ def _run_job(self, job_id: int, run_cmd: str): subprocess.Popen(run_cmd, shell=True, stdout=subprocess.DEVNULL) def schedule_step(self, force_update_jobs: bool = False) -> None: - jobs = self._get_jobs() - if len(jobs) > 0 or force_update_jobs: + if force_update_jobs: update_status() + pending_jobs = self._get_pending_jobs() # TODO(zhwu, mraheja): One optimization can be allowing more than one # job staying in the pending state after ray job submit, so that to be # faster to schedule a large amount of jobs. - for job_id, run_cmd, submit, created_time in jobs: + for job_id, run_cmd, submit, created_time in pending_jobs: with filelock.FileLock(_get_lock_path(job_id)): + # We don't have to refresh the job status before checking, as + # the job status will only be stale in rare cases where ray job + # crashes; or the job stays in INIT state for a long time. + # In those cases, the periodic JobSchedulerEvent event will + # update the job status every 300 seconds. status = get_status_no_lock(job_id) if (status not in _PRE_RESOURCE_STATUSES or created_time < psutil.boot_time()): @@ -202,7 +207,7 @@ def schedule_step(self, force_update_jobs: bool = False) -> None: self._run_job(job_id, run_cmd) return - def _get_jobs(self) -> List[Tuple[int, str, int, int]]: + def _get_pending_jobs(self) -> List[Tuple[int, str, int, int]]: """Returns the metadata for jobs in the pending jobs table The information contains job_id, run command, submit time, @@ -214,7 +219,7 @@ def _get_jobs(self) -> List[Tuple[int, str, int, int]]: class FIFOScheduler(JobScheduler): """First in first out job scheduler""" - def _get_jobs(self) -> List[Tuple[int, str, int, int]]: + def _get_pending_jobs(self) -> List[Tuple[int, str, int, int]]: return list( _CURSOR.execute('SELECT * FROM pending_jobs ORDER BY job_id')) @@ -534,25 +539,13 @@ def update_job_status(job_ids: List[int], This function should only be run on the remote instance with ray>=2.4.0. """ + echo = logger.info if not silent else logger.debug if len(job_ids) == 0: return [] - # TODO: if too slow, directly query against redis. ray_job_ids = [make_ray_job_id(job_id) for job_id in job_ids] - job_client = _create_ray_job_submission_client() - # In ray 2.4.0, job_client.list_jobs returns a list of JobDetails, - # which contains the job status (str) and submission_id (str). - ray_job_query_time = time.time() - job_detail_lists: List['ray_pydantic.JobDetails'] = job_client.list_jobs() - - job_details = {} - ray_job_ids_set = set(ray_job_ids) - for job_detail in job_detail_lists: - if job_detail.submission_id in ray_job_ids_set: - job_details[job_detail.submission_id] = job_detail - statuses = [] for job_id, ray_job_id in zip(job_ids, ray_job_ids): # Per-job status lock is required because between the job status @@ -560,15 +553,48 @@ def update_job_status(job_ids: List[int], # can be modified by the generated ray program. with filelock.FileLock(_get_lock_path(job_id)): status = None - if ray_job_id in job_details: - ray_status = job_details[ray_job_id].status - status = _RAY_TO_JOB_STATUS_MAP[ray_status] + job_record = _get_jobs_by_ids([job_id])[0] + original_status = job_record['status'] + job_submitted_at = job_record['submitted_at'] + + ray_job_query_time = time.time() + if original_status == JobStatus.INIT: + if (job_submitted_at >= psutil.boot_time() and job_submitted_at + >= ray_job_query_time - _PENDING_SUBMIT_GRACE_PERIOD): + # The job id is reserved, but the job is not submitted yet. + # We should keep it in INIT. + status = JobStatus.INIT + else: + # We always immediately submit job after the job id is + # allocated, i.e. INIT -> PENDING, if a job stays in INIT + # for too long, it is likely the job submission process + # was killed before the job is submitted. We should set it + # to FAILED then. Note, if ray job indicates the job is + # running, we will change status to PENDING below. + echo(f'INIT job {job_id} is stale, setting to FAILED') + status = JobStatus.FAILED + + try: + # Querying status within the lock is safer than querying + # outside, as it avoids the race condition when job table is + # updated after the ray job status query. + # Also, getting per-job status is faster than querying all jobs, + # when there are significant number of finished jobs. + # Reference: getting 124 finished jobs takes 0.038s, while + # querying a single job takes 0.006s, 10 jobs takes 0.066s. + # TODO: if too slow, directly query against redis. + ray_job_status = job_client.get_job_status(ray_job_id) + status = _RAY_TO_JOB_STATUS_MAP[ray_job_status.value] + except RuntimeError: + # Job not found. + pass + pending_job = _get_pending_job(job_id) if pending_job is not None: if pending_job['created_time'] < psutil.boot_time(): - logger.info(f'Job {job_id} is stale, setting to FAILED: ' - f'created_time={pending_job["created_time"]}, ' - f'boot_time={psutil.boot_time()}') + echo(f'Job {job_id} is stale, setting to FAILED: ' + f'created_time={pending_job["created_time"]}, ' + f'boot_time={psutil.boot_time()}') # The job is stale as it is created before the instance # is booted, e.g. the instance is rebooted. status = JobStatus.FAILED @@ -583,22 +609,20 @@ def update_job_status(job_ids: List[int], # as stale. status = JobStatus.PENDING - original_status = get_status_no_lock(job_id) assert original_status is not None, (job_id, status) if status is None: status = original_status if (original_status is not None and not original_status.is_terminal()): - logger.info(f'Ray job status for job {job_id} is None, ' - 'setting it to FAILED.') + echo(f'Ray job status for job {job_id} is None, ' + 'setting it to FAILED.') # The job may be stale, when the instance is restarted # (the ray redis is volatile). We need to reset the # status of the task to FAILED if its original status # is RUNNING or PENDING. status = JobStatus.FAILED _set_status_no_lock(job_id, status) - if not silent: - logger.info(f'Updated job {job_id} status to {status}') + echo(f'Updated job {job_id} status to {status}') else: # Taking max of the status is necessary because: # 1. It avoids race condition, where the original status has @@ -611,10 +635,10 @@ def update_job_status(job_ids: List[int], # DB) would already have that value. So we take the max here to # keep it at later status. status = max(status, original_status) + assert status is not None, (job_id, status, original_status) if status != original_status: # Prevents redundant update. _set_status_no_lock(job_id, status) - if not silent: - logger.info(f'Updated job {job_id} status to {status}') + echo(f'Updated job {job_id} status to {status}') statuses.append(status) return statuses diff --git a/tests/test_smoke.py b/tests/test_smoke.py index cdfd9dfc7cb..3cd065fe5a0 100644 --- a/tests/test_smoke.py +++ b/tests/test_smoke.py @@ -1813,7 +1813,18 @@ def test_multi_echo(generic_cloud: str): 'multi_echo', [ f'python examples/multi_echo.py {name} {generic_cloud}', - 'sleep 120', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep "FAILED" && exit 1 || true', + 'sleep 10', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep "FAILED" && exit 1 || true', + 'sleep 30', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep "FAILED" && exit 1 || true', + 'sleep 30', + # Make sure that our job scheduler is fast enough to have at least + # 10 RUNNING jobs in parallel. + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep "RUNNING" | wc -l | awk \'{{if ($1 < 10) exit 1}}\'', + 'sleep 30', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep "FAILED" && exit 1 || true', + f'until sky logs {name} 32 --status; do echo "Waiting for job 32 to finish..."; sleep 1; done', ] + # Ensure jobs succeeded. [f'sky logs {name} {i + 1} --status' for i in range(32)] + diff --git a/tests/test_yamls/pipeline_aws.yaml b/tests/test_yamls/pipeline_aws.yaml index 9971f30bc66..962183bd992 100644 --- a/tests/test_yamls/pipeline_aws.yaml +++ b/tests/test_yamls/pipeline_aws.yaml @@ -5,7 +5,7 @@ name: a resources: cloud: aws - region: us-west-2 + region: us-east-2 cpus: 2+ run: | From 5507811a8b600d95c837dc393050b8b9d384da78 Mon Sep 17 00:00:00 2001 From: Cody Brownstein <105375373+cbrownstein-lambda@users.noreply.github.com> Date: Thu, 7 Nov 2024 10:45:00 -0800 Subject: [PATCH 049/152] Set minimum port number a Ray worker can listen on to 11002 (#4278) Set worker minimum port number --- sky/provision/instance_setup.py | 1 + 1 file changed, 1 insertion(+) diff --git a/sky/provision/instance_setup.py b/sky/provision/instance_setup.py index 9eee33e63bd..8c390adaf87 100644 --- a/sky/provision/instance_setup.py +++ b/sky/provision/instance_setup.py @@ -264,6 +264,7 @@ def start_ray_on_head_node(cluster_name: str, custom_resource: Optional[str], f'--disable-usage-stats ' f'--port={constants.SKY_REMOTE_RAY_PORT} ' f'--dashboard-port={constants.SKY_REMOTE_RAY_DASHBOARD_PORT} ' + f'--min-worker-port 11002 ' f'--object-manager-port=8076 ' f'--temp-dir={constants.SKY_REMOTE_RAY_TEMPDIR}') if custom_resource: From 75898b0e27d51c9e2854ea2a24eea8f82f4220ec Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Thu, 7 Nov 2024 10:55:18 -0800 Subject: [PATCH 050/152] [docs] use k8s instead of kubernetes in the CLI (#4164) * [docs] use k8s instead of kubernetes in the CLI * fix docs build script for linux * Update docs/source/reference/kubernetes/kubernetes-getting-started.rst Co-authored-by: Romil Bhardwaj --------- Co-authored-by: Romil Bhardwaj --- docs/build.sh | 9 ++++++++- .../reference/kubernetes/kubernetes-deployment.rst | 10 +++++----- .../kubernetes/kubernetes-getting-started.rst | 4 ++-- docs/source/reference/kubernetes/kubernetes-setup.rst | 2 +- .../kubernetes/kubernetes-troubleshooting.rst | 10 +++++----- docs/source/reservations/existing-machines.rst | 4 ++-- sky/cli.py | 6 +++--- 7 files changed, 26 insertions(+), 19 deletions(-) diff --git a/docs/build.sh b/docs/build.sh index 63f060df35c..87dd2dbf500 100755 --- a/docs/build.sh +++ b/docs/build.sh @@ -1,7 +1,14 @@ #!/bin/bash rm -rf build docs -script -q /tmp/build_docs.txt bash -c "make html" + +# MacOS and GNU `script` have different usages +if [ "$(uname -s)" = "Linux" ]; then + script -q /tmp/build_docs.txt -c "make html" +else + # Assume MacOS (uname -s = Darwin) + script -q /tmp/build_docs.txt bash -c "make html" +fi # Check if the output contains "ERROR:" or "WARNING:" if grep -q -E "ERROR:|WARNING:" /tmp/build_docs.txt; then diff --git a/docs/source/reference/kubernetes/kubernetes-deployment.rst b/docs/source/reference/kubernetes/kubernetes-deployment.rst index d3891b3df51..98936d7b909 100644 --- a/docs/source/reference/kubernetes/kubernetes-deployment.rst +++ b/docs/source/reference/kubernetes/kubernetes-deployment.rst @@ -142,11 +142,11 @@ Deploying on Google Cloud GKE $ sky check -5. [If using GPUs] Check available GPUs in the kubernetes cluster with :code:`sky show-gpus --cloud kubernetes` +5. [If using GPUs] Check available GPUs in the kubernetes cluster with :code:`sky show-gpus --cloud k8s` .. code-block:: console - $ sky show-gpus --cloud kubernetes + $ sky show-gpus --cloud k8s GPU REQUESTABLE_QTY_PER_NODE TOTAL_GPUS TOTAL_FREE_GPUS L4 1, 2, 4 8 6 A100 1, 2 4 2 @@ -197,11 +197,11 @@ Deploying on Amazon EKS $ sky check -5. [If using GPUs] Check available GPUs in the kubernetes cluster with :code:`sky show-gpus --cloud kubernetes` +5. [If using GPUs] Check available GPUs in the kubernetes cluster with :code:`sky show-gpus --cloud k8s` .. code-block:: console - $ sky show-gpus --cloud kubernetes + $ sky show-gpus --cloud k8s GPU REQUESTABLE_QTY_PER_NODE TOTAL_GPUS TOTAL_FREE_GPUS A100 1, 2 4 2 @@ -299,4 +299,4 @@ Deploying on cloud VMs You can also spin up on-demand cloud VMs and deploy Kubernetes on them. We provide scripts to take care of provisioning VMs, installing Kubernetes, setting up GPU support and configuring your local kubeconfig. -Refer to our `Deploying Kubernetes on VMs guide `_ for more details. \ No newline at end of file +Refer to our `Deploying Kubernetes on VMs guide `_ for more details. diff --git a/docs/source/reference/kubernetes/kubernetes-getting-started.rst b/docs/source/reference/kubernetes/kubernetes-getting-started.rst index 9d46acf13c0..99d8f56cd34 100644 --- a/docs/source/reference/kubernetes/kubernetes-getting-started.rst +++ b/docs/source/reference/kubernetes/kubernetes-getting-started.rst @@ -150,11 +150,11 @@ Unlike :code:`sky status` which lists only the SkyPilot resources launched by th bob 2 - failjob 1x[CPU:1+] 1 day ago 54s 9s 0 FAILED bob 1 - shortjob 1x[CPU:1+] 2 days ago 1h 1m 19s 1h 16s 0 SUCCEEDED -You can also inspect the real-time GPU usage on the cluster with :code:`sky show-gpus --cloud kubernetes`. +You can also inspect the real-time GPU usage on the cluster with :code:`sky show-gpus --cloud k8s`. .. code-block:: console - $ sky show-gpus --cloud kubernetes + $ sky show-gpus --cloud k8s Kubernetes GPUs GPU REQUESTABLE_QTY_PER_NODE TOTAL_GPUS TOTAL_FREE_GPUS L4 1, 2, 4 12 12 diff --git a/docs/source/reference/kubernetes/kubernetes-setup.rst b/docs/source/reference/kubernetes/kubernetes-setup.rst index 3621d1b5338..dcc870fe145 100644 --- a/docs/source/reference/kubernetes/kubernetes-setup.rst +++ b/docs/source/reference/kubernetes/kubernetes-setup.rst @@ -260,7 +260,7 @@ You can also check the GPUs available on your nodes by running: .. code-block:: console - $ sky show-gpus --cloud kubernetes + $ sky show-gpus --cloud k8s Kubernetes GPUs GPU REQUESTABLE_QTY_PER_NODE TOTAL_GPUS TOTAL_FREE_GPUS L4 1, 2, 4 12 12 diff --git a/docs/source/reference/kubernetes/kubernetes-troubleshooting.rst b/docs/source/reference/kubernetes/kubernetes-troubleshooting.rst index 258c3e9eb55..3abb8e42076 100644 --- a/docs/source/reference/kubernetes/kubernetes-troubleshooting.rst +++ b/docs/source/reference/kubernetes/kubernetes-troubleshooting.rst @@ -87,7 +87,7 @@ Next, try running a simple hello world task to verify that SkyPilot can launch t .. code-block:: bash - $ sky launch -y -c mycluster --cloud kubernetes -- "echo hello world" + $ sky launch -y -c mycluster --cloud k8s -- "echo hello world" # Task should run and print "hello world" to the console # Once you have verified that the task runs, you can delete it @@ -174,7 +174,7 @@ Run :code:`sky check` to verify that SkyPilot can see your GPUs. # Should show `Kubernetes: Enabled` and should not print any warnings about GPU support. # List the available GPUs in your cluster - $ sky show-gpus --cloud kubernetes + $ sky show-gpus --cloud k8s Step B4 - Try launching a dummy GPU task ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ @@ -184,7 +184,7 @@ Next, try running a simple GPU task to verify that SkyPilot can launch GPU tasks .. code-block:: bash # Replace the GPU type from the sky show-gpus output in the task launch command - $ sky launch -y -c mygpucluster --cloud kubernetes --gpu :1 -- "nvidia-smi" + $ sky launch -y -c mygpucluster --cloud k8s --gpu :1 -- "nvidia-smi" # Task should run and print the nvidia-smi output to the console @@ -298,7 +298,7 @@ Next, try running a simple task with a service to verify that SkyPilot can launc .. code-block:: bash - $ sky launch -y -c myserver --cloud kubernetes --ports 8080 -- "python -m http.server 8080" + $ sky launch -y -c myserver --cloud k8s --ports 8080 -- "python -m http.server 8080" # Obtain the endpoint of the service $ sky status --endpoint 8080 myserver @@ -307,4 +307,4 @@ Next, try running a simple task with a service to verify that SkyPilot can launc $ curl If you are unable to get the endpoint from SkyPilot, -consider running :code:`kubectl describe services` or :code:`kubectl describe ingress` to debug it. \ No newline at end of file +consider running :code:`kubectl describe services` or :code:`kubectl describe ingress` to debug it. diff --git a/docs/source/reservations/existing-machines.rst b/docs/source/reservations/existing-machines.rst index d8d3fb81e67..10962ecd639 100644 --- a/docs/source/reservations/existing-machines.rst +++ b/docs/source/reservations/existing-machines.rst @@ -106,7 +106,7 @@ Deploying SkyPilot .. code-block:: console - $ sky show-gpus --cloud kubernetes + $ sky show-gpus --cloud k8s Kubernetes GPUs GPU REQUESTABLE_QTY_PER_NODE TOTAL_GPUS TOTAL_FREE_GPUS L4 1, 2, 4 12 12 @@ -121,7 +121,7 @@ Deploying SkyPilot my-cluster-4 H100 8 8 my-cluster-5 H100 8 8 - $ sky launch --cloud kubernetes --gpus H100:1 -- nvidia-smi + $ sky launch --cloud k8s --gpus H100:1 -- nvidia-smi .. tip:: diff --git a/sky/cli.py b/sky/cli.py index 462e8a5b9de..44e8e4b302e 100644 --- a/sky/cli.py +++ b/sky/cli.py @@ -3036,9 +3036,9 @@ def show_gpus( and spot instances. There may be multiple regions with the same lowest price. - If ``--cloud kubernetes`` is specified, it will show the maximum quantities - of the GPU available on a single node and the real-time availability of - the GPU across all nodes in the Kubernetes cluster. + If ``--cloud kubernetes`` or ``--cloud k8s`` is specified, it will show the + maximum quantities of the GPU available on a single node and the real-time + availability of the GPU across all nodes in the Kubernetes cluster. Definitions of certain fields: From e382e7cd426ff6f719b30a2a17c9e4861f88f3bd Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Thu, 7 Nov 2024 11:06:14 -0800 Subject: [PATCH 051/152] [jobs] autodown managed job clusters (#4267) * [jobs] autodown managed job clusters If all goes correctly, the managed job controller should tear down a managed job cluster once the managed job completes. However, if the controller fails somehow (e.g. crashes, is terminated, etc), we don't want to leak resources. As a failsafe, set autodown on the job cluster. This is not foolproof, since the skylet on the cluster can also crash, but it's likely to catch many cases. * add comment about autodown duration * add leading _ --- sky/jobs/recovery_strategy.py | 21 ++++++++++++++++----- 1 file changed, 16 insertions(+), 5 deletions(-) diff --git a/sky/jobs/recovery_strategy.py b/sky/jobs/recovery_strategy.py index e5c607696d8..09e4bd8ed6e 100644 --- a/sky/jobs/recovery_strategy.py +++ b/sky/jobs/recovery_strategy.py @@ -36,6 +36,11 @@ # 10 * JOB_STARTED_STATUS_CHECK_GAP_SECONDS = 10 * 5 = 50 seconds MAX_JOB_CHECKING_RETRY = 10 +# Minutes to job cluster autodown. This should be significantly larger than +# managed_job_utils.JOB_STATUS_CHECK_GAP_SECONDS, to avoid tearing down the +# cluster before its status can be updated by the job controller. +_AUTODOWN_MINUTES = 5 + def terminate_cluster(cluster_name: str, max_retry: int = 3) -> None: """Terminate the cluster.""" @@ -302,11 +307,17 @@ def _launch(self, usage_lib.messages.usage.set_internal() # Detach setup, so that the setup failure can be detected # by the controller process (job_status -> FAILED_SETUP). - sky.launch(self.dag, - cluster_name=self.cluster_name, - detach_setup=True, - detach_run=True, - _is_launched_by_jobs_controller=True) + sky.launch( + self.dag, + cluster_name=self.cluster_name, + # We expect to tear down the cluster as soon as the job is + # finished. However, in case the controller dies, set + # autodown to try and avoid a resource leak. + idle_minutes_to_autostop=_AUTODOWN_MINUTES, + down=True, + detach_setup=True, + detach_run=True, + _is_launched_by_jobs_controller=True) logger.info('Managed job cluster launched.') except (exceptions.InvalidClusterNameError, exceptions.NoCloudAccessError, From f013073dd8a0f5ca3194161b31f1c22c117d992c Mon Sep 17 00:00:00 2001 From: Andy Lee Date: Thu, 7 Nov 2024 14:13:31 -0800 Subject: [PATCH 052/152] [UX] Improve Formatting of Post Job Creation Logs (#4198) * Update cloud_vm_ray_backend.py * Update cloud_vm_ray_backend.py * format --- sky/backends/cloud_vm_ray_backend.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index acc218a8b6d..68d9bfecfb0 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -3262,6 +3262,7 @@ def _exec_code_on_head( ) -> None: """Executes generated code on the head node.""" style = colorama.Style + fore = colorama.Fore script_path = os.path.join(SKY_REMOTE_APP_DIR, f'sky_job_{job_id}') remote_log_dir = self.log_dir @@ -3373,9 +3374,9 @@ def _dump_code_to_file(codegen: str) -> None: controller = controller_utils.Controllers.from_name(name) if controller == controller_utils.Controllers.JOBS_CONTROLLER: logger.info( - f'\n📋 Useful Commands' - f'\nManaged Job ID: ' + f'\n{fore.CYAN}Managed Job ID: ' f'{style.BRIGHT}{job_id}{style.RESET_ALL}' + f'\n📋 Useful Commands' f'\n{ux_utils.INDENT_SYMBOL}To cancel the job:\t\t\t' f'{ux_utils.BOLD}sky jobs cancel {job_id}' f'{ux_utils.RESET_BOLD}' @@ -3392,8 +3393,9 @@ def _dump_code_to_file(codegen: str) -> None: f'dashboard:\t{ux_utils.BOLD}sky jobs dashboard' f'{ux_utils.RESET_BOLD}') elif controller is None: - logger.info(f'\n📋 Useful Commands' - f'\nJob ID: {job_id}' + logger.info(f'\n{fore.CYAN}Job ID: ' + f'{style.BRIGHT}{job_id}{style.RESET_ALL}' + f'\n📋 Useful Commands' f'\n{ux_utils.INDENT_SYMBOL}To cancel the job:\t\t' f'{ux_utils.BOLD}sky cancel {name} {job_id}' f'{ux_utils.RESET_BOLD}' From bcf40fa878189c545f70061338b1c4faaceb53af Mon Sep 17 00:00:00 2001 From: Andy Lee Date: Thu, 7 Nov 2024 14:19:35 -0800 Subject: [PATCH 053/152] Fix `stream_logs` Duplicate Job Handling and TypeError (#4274) fix: multiple `job_id` --- sky/jobs/utils.py | 28 ++++++++++++++++++---------- 1 file changed, 18 insertions(+), 10 deletions(-) diff --git a/sky/jobs/utils.py b/sky/jobs/utils.py index 981f6d8286f..896740f6ed6 100644 --- a/sky/jobs/utils.py +++ b/sky/jobs/utils.py @@ -14,7 +14,7 @@ import textwrap import time import typing -from typing import Any, Dict, List, Optional, Tuple, Union +from typing import Any, Dict, List, Optional, Set, Tuple, Union import colorama import filelock @@ -487,6 +487,7 @@ def stream_logs(job_id: Optional[int], job_id = managed_job_state.get_latest_job_id() if job_id is None: return 'No managed job found.' + if controller: if job_id is None: assert job_name is not None @@ -494,16 +495,22 @@ def stream_logs(job_id: Optional[int], # We manually filter the jobs by name, instead of using # get_nonterminal_job_ids_by_name, as with `controller=True`, we # should be able to show the logs for jobs in terminal states. - managed_jobs = list( - filter(lambda job: job['job_name'] == job_name, managed_jobs)) - if len(managed_jobs) == 0: + managed_job_ids: Set[int] = { + job['job_id'] + for job in managed_jobs + if job['job_name'] == job_name + } + if len(managed_job_ids) == 0: return f'No managed job found with name {job_name!r}.' - if len(managed_jobs) > 1: - job_ids_str = ', '.join(job['job_id'] for job in managed_jobs) - raise ValueError( - f'Multiple managed jobs found with name {job_name!r} (Job ' - f'IDs: {job_ids_str}). Please specify the job_id instead.') - job_id = managed_jobs[0]['job_id'] + if len(managed_job_ids) > 1: + job_ids_str = ', '.join( + str(job_id) for job_id in managed_job_ids) + with ux_utils.print_exception_no_traceback(): + raise ValueError( + f'Multiple managed jobs found with name {job_name!r} ' + f'(Job IDs: {job_ids_str}). Please specify the job_id ' + 'instead.') + job_id = managed_job_ids.pop() assert job_id is not None, (job_id, job_name) # TODO: keep the following code sync with # job_lib.JobLibCodeGen.tail_logs, we do not directly call that function @@ -849,6 +856,7 @@ def stream_logs(cls, from sky.skylet import job_lib, log_lib from sky.skylet import constants + from sky.utils import ux_utils try: from sky.jobs.utils import stream_logs_by_id except ImportError: From bb39707526c926619af6b97cdebedbbd3193ea5b Mon Sep 17 00:00:00 2001 From: Cody Brownstein <105375373+cbrownstein-lambda@users.noreply.github.com> Date: Thu, 7 Nov 2024 15:57:39 -0800 Subject: [PATCH 054/152] Update Lambda Cloud regions (#4291) --- .../service_catalog/data_fetchers/fetch_lambda_cloud.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/sky/clouds/service_catalog/data_fetchers/fetch_lambda_cloud.py b/sky/clouds/service_catalog/data_fetchers/fetch_lambda_cloud.py index 152095cc15d..e4bb6e8547a 100644 --- a/sky/clouds/service_catalog/data_fetchers/fetch_lambda_cloud.py +++ b/sky/clouds/service_catalog/data_fetchers/fetch_lambda_cloud.py @@ -20,7 +20,6 @@ # List of all possible regions. REGIONS = [ - 'australia-southeast-1', 'europe-central-1', 'asia-south-1', 'me-west-1', @@ -28,9 +27,12 @@ 'asia-northeast-1', 'asia-northeast-2', 'us-east-1', + 'us-east-2', 'us-west-2', 'us-west-1', 'us-south-1', + 'us-south-2', + 'us-south-3', 'us-west-3', 'us-midwest-1', ] From 4420fd5ab4cb1252b46f6770bb44c3997193f4e1 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Thu, 7 Nov 2024 19:09:02 -0800 Subject: [PATCH 055/152] [Jobs] Managed jobs database use WAL mode (#4283) * DB WAL * format * move --- .../images/aws_utils/image_gen.py | 46 ++--- sky/jobs/dashboard/dashboard.py | 3 +- sky/jobs/state.py | 173 ++++++++++-------- 3 files changed, 121 insertions(+), 101 deletions(-) diff --git a/sky/clouds/service_catalog/images/aws_utils/image_gen.py b/sky/clouds/service_catalog/images/aws_utils/image_gen.py index 970988997d2..d781dc171c3 100644 --- a/sky/clouds/service_catalog/images/aws_utils/image_gen.py +++ b/sky/clouds/service_catalog/images/aws_utils/image_gen.py @@ -1,4 +1,4 @@ -"""Copy SkyPilot AMI to multiple regions, make them public, and generate images.csv +"""Copy SkyPilot AMI to multi regions, make them public, and generate images.csv Example Usage: python aws_image_gen.py --source-image-id ami-00000 --processor gpu @@ -10,7 +10,6 @@ import json import os import subprocess -import threading import time parser = argparse.ArgumentParser( @@ -63,23 +62,26 @@ def make_image_public(image_id, region): - unblock_command = f"aws ec2 disable-image-block-public-access --region {region}" + unblock_command = ( + f'aws ec2 disable-image-block-public-access --region {region}') subprocess.run(unblock_command, shell=True, check=True) public_command = ( f'aws ec2 modify-image-attribute --image-id {image_id} ' - f'--launch-permission "{{\\\"Add\\\": [{{\\\"Group\\\":\\\"all\\\"}}]}}" --region {region}' - ) + '--launch-permission "{\\\"Add\\\": [{\\\"Group\\\":\\\"all\\\"}]}" ' + f'--region {region}') subprocess.run(public_command, shell=True, check=True) - print(f"Made {image_id} public") + print(f'Made {image_id} public') def copy_image_and_make_public(target_region): # Copy the AMI to the target region + ami_name = (f'skypilot-aws-{args.processor}-{args.os_type}-' + f'{time.strftime("%y%m%d")}') copy_command = ( - f"aws ec2 copy-image --source-region {args.region} " - f"--source-image-id {args.image_id} --region {target_region} " - f"--name 'skypilot-aws-{args.processor}-{args.os_type}-{time.strftime('%y%m%d')}' --output json" - ) + f'aws ec2 copy-image --source-region {args.region} ' + f'--source-image-id {args.image_id} --region {target_region} ' + f'--name "{ami_name}" ' + '--output json') print(copy_command) result = subprocess.run(copy_command, shell=True, @@ -88,11 +90,12 @@ def copy_image_and_make_public(target_region): text=True) print(result.stdout) new_image_id = json.loads(result.stdout)['ImageId'] - print(f"Copied image to {target_region} with new image ID: {new_image_id}") + print(f'Copied image to {target_region} with new image ID: {new_image_id}') # Wait for the image to be available - print(f"Waiting for {new_image_id} to be available...") - wait_command = f"aws ec2 wait image-available --image-ids {new_image_id} --region {target_region}" + print(f'Waiting for {new_image_id} to be available...') + wait_command = (f'aws ec2 wait image-available --image-ids {new_image_id} ' + f'--region {target_region}') subprocess.run(wait_command, shell=True, check=True) make_image_public(new_image_id, target_region) @@ -109,29 +112,30 @@ def write_image_to_csv(image_id, region): time.strftime('%Y%m%d'), args.base_image_id ] writer.writerow(row) - print(f"Wrote to CSV: {row}") + print(f'Wrote to CSV: {row}') def main(): make_image_public(args.image_id, args.region) if not os.path.exists(args.output_csv): - with open(args.output_csv, 'w', newline='') as csvfile: + with open(args.output_csv, 'w', newline='', + encoding='utf-8') as csvfile: writer = csv.writer(csvfile) writer.writerow([ 'Tag', 'Region', 'OS', 'OSVersion', 'ImageId', 'CreationDate', 'BaseImageId' ]) # Header - print(f"No existing {args.output_csv} so created it.") + print(f'No existing {args.output_csv} so created it.') # Process other regions image_cache = [(args.image_id, args.region)] def process_region(copy_to_region): - print(f"Start copying image to {copy_to_region}...") + print(f'Start copying image to {copy_to_region}...') try: new_image_id = copy_image_and_make_public(copy_to_region) - except Exception as e: - print(f"Error generating image to {copy_to_region}: {str(e)}") + except Exception as e: # pylint: disable=broad-except + print(f'Error generating image to {copy_to_region}: {str(e)}') new_image_id = 'NEED_FALLBACK' image_cache.append((new_image_id, copy_to_region)) @@ -144,8 +148,8 @@ def process_region(copy_to_region): for new_image_id, copy_to_region in sorted_image_cache: write_image_to_csv(new_image_id, copy_to_region) - print("All done!") + print('All done!') -if __name__ == "__main__": +if __name__ == '__main__': main() diff --git a/sky/jobs/dashboard/dashboard.py b/sky/jobs/dashboard/dashboard.py index 9077eab393b..873896f6837 100644 --- a/sky/jobs/dashboard/dashboard.py +++ b/sky/jobs/dashboard/dashboard.py @@ -26,7 +26,8 @@ def _is_running_on_jobs_controller() -> bool: """ if pathlib.Path('~/.sky/sky_ray.yml').expanduser().exists(): config = yaml.safe_load( - pathlib.Path('~/.sky/sky_ray.yml').expanduser().read_text()) + pathlib.Path('~/.sky/sky_ray.yml').expanduser().read_text( + encoding='utf-8')) cluster_name = config.get('cluster_name', '') candidate_controller_names = ( controller_utils.Controllers.JOBS_CONTROLLER.value. diff --git a/sky/jobs/state.py b/sky/jobs/state.py index fed091bbe54..6a0e3caeda3 100644 --- a/sky/jobs/state.py +++ b/sky/jobs/state.py @@ -12,6 +12,7 @@ import colorama from sky import sky_logging +from sky.utils import common_utils from sky.utils import db_utils if typing.TYPE_CHECKING: @@ -22,23 +23,6 @@ logger = sky_logging.init_logger(__name__) -def _get_db_path() -> str: - """Workaround to collapse multi-step Path ops for type checker. - Ensures _DB_PATH is str, avoiding Union[Path, str] inference. - """ - path = pathlib.Path('~/.sky/spot_jobs.db') - path = path.expanduser().absolute() - path.parents[0].mkdir(parents=True, exist_ok=True) - return str(path) - - -_DB_PATH = _get_db_path() - -# Module-level connection/cursor; thread-safe as the module is only imported -# once. -_CONN = sqlite3.connect(_DB_PATH) -_CURSOR = _CONN.cursor() - # === Database schema === # `spot` table contains all the finest-grained tasks, including all the # tasks of a managed job (called spot for legacy reason, as it is generalized @@ -50,68 +34,99 @@ def _get_db_path() -> str: # identifier/primary key for all the tasks. We will use `spot_job_id` # to identify the spot job. # TODO(zhwu): schema migration may be needed. -_CURSOR.execute("""\ - CREATE TABLE IF NOT EXISTS spot ( - job_id INTEGER PRIMARY KEY AUTOINCREMENT, - job_name TEXT, - resources TEXT, - submitted_at FLOAT, - status TEXT, - run_timestamp TEXT CANDIDATE KEY, - start_at FLOAT DEFAULT NULL, - end_at FLOAT DEFAULT NULL, - last_recovered_at FLOAT DEFAULT -1, - recovery_count INTEGER DEFAULT 0, - job_duration FLOAT DEFAULT 0, - failure_reason TEXT, - spot_job_id INTEGER, - task_id INTEGER DEFAULT 0, - task_name TEXT, - specs TEXT)""") -_CONN.commit() - -db_utils.add_column_to_table(_CURSOR, _CONN, 'spot', 'failure_reason', 'TEXT') -# Create a new column `spot_job_id`, which is the same for tasks of the -# same managed job. -# The original `job_id` no longer has an actual meaning, but only a legacy -# identifier for all tasks in database. -db_utils.add_column_to_table(_CURSOR, - _CONN, - 'spot', - 'spot_job_id', - 'INTEGER', - copy_from='job_id') -db_utils.add_column_to_table(_CURSOR, - _CONN, - 'spot', - 'task_id', - 'INTEGER DEFAULT 0', - value_to_replace_existing_entries=0) -db_utils.add_column_to_table(_CURSOR, - _CONN, - 'spot', - 'task_name', - 'TEXT', - copy_from='job_name') - -# Specs is some useful information about the task, e.g., the -# max_restarts_on_errors value. It is stored in JSON format. -db_utils.add_column_to_table(_CURSOR, - _CONN, - 'spot', - 'specs', - 'TEXT', - value_to_replace_existing_entries=json.dumps({ - 'max_restarts_on_errors': 0, - })) - -# `job_info` contains the mapping from job_id to the job_name. -# In the future, it may contain more information about each job. -_CURSOR.execute("""\ - CREATE TABLE IF NOT EXISTS job_info ( - spot_job_id INTEGER PRIMARY KEY AUTOINCREMENT, - name TEXT)""") -_CONN.commit() +def create_table(cursor, conn): + # Enable WAL mode to avoid locking issues. + # See: issue #3863, #1441 and PR #1509 + # https://github.com/microsoft/WSL/issues/2395 + # TODO(romilb): We do not enable WAL for WSL because of known issue in WSL. + # This may cause the database locked problem from WSL issue #1441. + if not common_utils.is_wsl(): + try: + cursor.execute('PRAGMA journal_mode=WAL') + except sqlite3.OperationalError as e: + if 'database is locked' not in str(e): + raise + # If the database is locked, it is OK to continue, as the WAL mode + # is not critical and is likely to be enabled by other processes. + + cursor.execute("""\ + CREATE TABLE IF NOT EXISTS spot ( + job_id INTEGER PRIMARY KEY AUTOINCREMENT, + job_name TEXT, + resources TEXT, + submitted_at FLOAT, + status TEXT, + run_timestamp TEXT CANDIDATE KEY, + start_at FLOAT DEFAULT NULL, + end_at FLOAT DEFAULT NULL, + last_recovered_at FLOAT DEFAULT -1, + recovery_count INTEGER DEFAULT 0, + job_duration FLOAT DEFAULT 0, + failure_reason TEXT, + spot_job_id INTEGER, + task_id INTEGER DEFAULT 0, + task_name TEXT, + specs TEXT)""") + conn.commit() + + db_utils.add_column_to_table(cursor, conn, 'spot', 'failure_reason', 'TEXT') + # Create a new column `spot_job_id`, which is the same for tasks of the + # same managed job. + # The original `job_id` no longer has an actual meaning, but only a legacy + # identifier for all tasks in database. + db_utils.add_column_to_table(cursor, + conn, + 'spot', + 'spot_job_id', + 'INTEGER', + copy_from='job_id') + db_utils.add_column_to_table(cursor, + conn, + 'spot', + 'task_id', + 'INTEGER DEFAULT 0', + value_to_replace_existing_entries=0) + db_utils.add_column_to_table(cursor, + conn, + 'spot', + 'task_name', + 'TEXT', + copy_from='job_name') + + # Specs is some useful information about the task, e.g., the + # max_restarts_on_errors value. It is stored in JSON format. + db_utils.add_column_to_table(cursor, + conn, + 'spot', + 'specs', + 'TEXT', + value_to_replace_existing_entries=json.dumps({ + 'max_restarts_on_errors': 0, + })) + + # `job_info` contains the mapping from job_id to the job_name. + # In the future, it may contain more information about each job. + cursor.execute("""\ + CREATE TABLE IF NOT EXISTS job_info ( + spot_job_id INTEGER PRIMARY KEY AUTOINCREMENT, + name TEXT)""") + conn.commit() + + +# Module-level connection/cursor; thread-safe as the module is only imported +# once. +def _get_db_path() -> str: + """Workaround to collapse multi-step Path ops for type checker. + Ensures _DB_PATH is str, avoiding Union[Path, str] inference. + """ + path = pathlib.Path('~/.sky/spot_jobs.db') + path = path.expanduser().absolute() + path.parents[0].mkdir(parents=True, exist_ok=True) + return str(path) + + +_DB_PATH = _get_db_path() +db_utils.SQLiteConn(_DB_PATH, create_table) # job_duration is the time a job actually runs (including the # setup duration) before last_recover, excluding the provision From 7bea46813b47a46ce7b00501413cac637ee400a3 Mon Sep 17 00:00:00 2001 From: Tian Xia Date: Fri, 8 Nov 2024 00:06:10 -0600 Subject: [PATCH 056/152] [RunPod] Fix assertion in ports query. (#4288) --- sky/provision/runpod/instance.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/sky/provision/runpod/instance.py b/sky/provision/runpod/instance.py index 1f297a4b2e0..4894c304185 100644 --- a/sky/provision/runpod/instance.py +++ b/sky/provision/runpod/instance.py @@ -232,7 +232,12 @@ def query_ports( instances = _filter_instances(cluster_name_on_cloud, None, head_only=True) - assert len(instances) == 1 + assert len(instances) <= 1 + # It is possible that the instance is terminated on console by + # the user. In this case, the instance will not be found and we + # should return an empty dict. + if not instances: + return {} head_inst = list(instances.values())[0] ready_ports: Dict[int, List[common.Endpoint]] = { port: [common.SocketEndpoint(**endpoint)] From 9119eb83837d4471a93c8f094de806203197db19 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Fri, 8 Nov 2024 11:26:35 -0800 Subject: [PATCH 057/152] [Core] Make ssh connection more robust with custom proxy (#4290) * use quote instead * disable ssh control master * remove comments * Add keep alive * Remove unused comment * Disable control master for custom proxy commands * Disable control master for all custom proxy * Add smoke test for proxy command --- sky/data/mounting_utils.py | 20 ++++---------------- sky/exceptions.py | 5 ++++- sky/utils/command_runner.py | 11 ++++++++++- tests/test_smoke.py | 29 +++++++++++++++++++++++++++++ 4 files changed, 47 insertions(+), 18 deletions(-) diff --git a/sky/data/mounting_utils.py b/sky/data/mounting_utils.py index 5d4eb61156c..22b26c372c4 100644 --- a/sky/data/mounting_utils.py +++ b/sky/data/mounting_utils.py @@ -276,23 +276,11 @@ def get_mounting_command( script = get_mounting_script(mount_path, mount_cmd, install_cmd, version_check_cmd) - # TODO(romilb): Get direct bash script to work like so: - # command = f'bash <<-\EOL' \ - # f'{script}' \ - # 'EOL' - - # TODO(romilb): This heredoc should have EOF after script, but it - # fails with sky's ssh pipeline. Instead, we don't use EOF and use ) - # as the end of heredoc. This raises a warning (here-document delimited - # by end-of-file) that can be safely ignored. - # While these commands are run sequentially for each storage object, # we add random int to be on the safer side and avoid collisions. script_path = f'~/.sky/mount_{random.randint(0, 1000000)}.sh' - first_line = r'(cat <<-\EOF > {}'.format(script_path) - command = (f'{first_line}' - f'{script}' - f') && chmod +x {script_path}' - f' && bash {script_path}' - f' && rm {script_path}') + command = (f'echo {shlex.quote(script)} > {script_path} && ' + f'chmod +x {script_path} && ' + f'bash {script_path} && ' + f'rm {script_path}') return command diff --git a/sky/exceptions.py b/sky/exceptions.py index f78c6605261..c1ade2eb02a 100644 --- a/sky/exceptions.py +++ b/sky/exceptions.py @@ -3,6 +3,8 @@ import typing from typing import List, Optional, Sequence +from sky.utils import env_options + if typing.TYPE_CHECKING: from sky import status_lib from sky.backends import backend @@ -104,7 +106,8 @@ def __init__(self, returncode: int, command: str, error_msg: str, if not command: message = error_msg else: - if len(command) > 100: + if (len(command) > 100 and + not env_options.Options.SHOW_DEBUG_INFO.get()): # Chunck the command to avoid overflow. command = command[:100] + '...' message = (f'Command {command} failed with return code ' diff --git a/sky/utils/command_runner.py b/sky/utils/command_runner.py index 25483031038..2ac1dfdea10 100644 --- a/sky/utils/command_runner.py +++ b/sky/utils/command_runner.py @@ -104,13 +104,22 @@ def ssh_options_list( } # SSH Control will have a severe delay when using docker_ssh_proxy_command. # TODO(tian): Investigate why. + # + # We disable ControlMaster when ssh_proxy_command is used, because the + # master connection will be idle although the connection might be shared + # by other ssh commands that is not idle. In that case, user's custom proxy + # command may drop the connection due to idle timeout, since it will only + # see the idle master connection. It is an issue even with the + # ServerAliveInterval set, since the keepalive message may not be recognized + # by the custom proxy command, such as AWS SSM Session Manager. + # # We also do not use ControlMaster when we use `kubectl port-forward` # to access Kubernetes pods over SSH+Proxycommand. This is because the # process running ProxyCommand is kept running as long as the ssh session # is running and the ControlMaster keeps the session, which results in # 'ControlPersist' number of seconds delay per ssh commands ran. if (ssh_control_name is not None and docker_ssh_proxy_command is None and - not disable_control_master): + ssh_proxy_command is None and not disable_control_master): arg_dict.update({ # Control path: important optimization as we do multiple ssh in one # sky.launch(). diff --git a/tests/test_smoke.py b/tests/test_smoke.py index 3cd065fe5a0..4433b0ae4df 100644 --- a/tests/test_smoke.py +++ b/tests/test_smoke.py @@ -445,6 +445,35 @@ def test_aws_region(): run_one_test(test) +@pytest.mark.aws +def test_aws_with_ssh_proxy_command(): + name = _get_cluster_name() + with tempfile.NamedTemporaryFile(mode='w') as f: + f.write( + textwrap.dedent(f"""\ + aws: + ssh_proxy_command: ssh -W %h:%p -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null jump-{name} + """)) + f.flush() + test = Test( + 'aws_with_ssh_proxy_command', + [ + f'sky launch -y -c jump-{name} --cloud aws --cpus 2 --region us-east-1', + # Use jump config + f'export SKYPILOT_CONFIG={f.name}; ' + f'sky launch -y -c {name} --cloud aws --cpus 2 --region us-east-1 echo hi', + f'sky logs {name} 1 --status', + f'export SKYPILOT_CONFIG={f.name}; sky exec {name} echo hi', + f'sky logs {name} 2 --status', + f'export SKYPILOT_CONFIG={f.name}; sky jobs launch -n {name} --cpus 2 --cloud aws --region us-east-1 -yd echo hi', + 'sleep 300', + f'{_GET_JOB_QUEUE} | grep {name} | grep "STARTING\|RUNNING\|SUCCEEDED"', + ], + f'sky down -y {name} jump-{name}; sky jobs cancel -y -n {name}', + ) + run_one_test(test) + + @pytest.mark.gcp def test_gcp_region_and_service_account(): name = _get_cluster_name() From 9e40aa2577ce39ed8a65f24a83bbc3d4cda7d875 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Fri, 8 Nov 2024 13:36:49 -0800 Subject: [PATCH 058/152] [Test] Fix unittest for region infer (#4302) Fix unittest for region infer --- tests/test_optimizer_dryruns.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/tests/test_optimizer_dryruns.py b/tests/test_optimizer_dryruns.py index f1af9a0d9ee..7d00f4df2bc 100644 --- a/tests/test_optimizer_dryruns.py +++ b/tests/test_optimizer_dryruns.py @@ -663,7 +663,8 @@ def test_infer_cloud_from_region_or_zone(monkeypatch): _test_resources_launch(monkeypatch, zone='us-west2-a') # Maps to AWS. - _test_resources_launch(monkeypatch, region='us-east-2') + # Not use us-east-2 or us-west-1 as it is also supported by Lambda. + _test_resources_launch(monkeypatch, region='eu-south-1') _test_resources_launch(monkeypatch, zone='us-west-2a') # `sky launch` From f459081ba922c9963662939b6634ace7c5b88476 Mon Sep 17 00:00:00 2001 From: Scott Frolich <5588110+sfrolich@users.noreply.github.com> Date: Fri, 8 Nov 2024 15:02:19 -0800 Subject: [PATCH 059/152] Fix AWS Route Table caching which causes invalid failures in other regions after an initial valid failure. (#4303) * Fix AWS Route Table caching which causes invalid failures in other regions after an initial valid failure. Log error before throwing exception * Update sky/provision/aws/config.py Update function documentation Co-authored-by: Zhanghao Wu * fix _get_route_tables doc * remove trailing whitespace --------- Co-authored-by: Zhanghao Wu --- sky/provision/aws/config.py | 30 +++++++++++++++++++++++++----- 1 file changed, 25 insertions(+), 5 deletions(-) diff --git a/sky/provision/aws/config.py b/sky/provision/aws/config.py index d61e72ae7ae..6a8c77eafed 100644 --- a/sky/provision/aws/config.py +++ b/sky/provision/aws/config.py @@ -42,8 +42,9 @@ def _skypilot_log_error_and_exit_for_failover(error: str) -> None: Mainly used for handling VPC/subnet errors before nodes are launched. """ # NOTE: keep. The backend looks for this to know no nodes are launched. - prefix = 'SKYPILOT_ERROR_NO_NODES_LAUNCHED: ' - raise RuntimeError(prefix + error) + full_error = f'SKYPILOT_ERROR_NO_NODES_LAUNCHED: {error}' + logger.error(full_error) + raise RuntimeError(full_error) def bootstrap_instances( @@ -222,10 +223,27 @@ def _get_role(role_name: str): @functools.lru_cache(maxsize=128) # Keep bounded. -def _get_route_tables(ec2, vpc_id: Optional[str], main: bool) -> List[Any]: +def _get_route_tables(ec2, vpc_id: Optional[str], region: str, + main: bool) -> List[Any]: + """Get route tables associated with a VPC and region + + Args: + ec2: ec2 resource object + vpc_id: vpc_id is optional, if not provided, all route tables in the + region will be returned + region: region is mandatory to allow the lru cache + to return the corect results + main: if True, only main route tables will be returned otherwise + only non-main route tables will be returned + + Returns: + A list of route tables associated with the options VPC and region + """ filters = [{'Name': 'association.main', 'Values': [str(main).lower()]}] if vpc_id is not None: filters.append({'Name': 'vpc-id', 'Values': [vpc_id]}) + logger.debug( + f'Getting route tables with filters: {filters} in region: {region}') return ec2.meta.client.describe_route_tables(Filters=filters).get( 'RouteTables', []) @@ -238,7 +256,8 @@ def _is_subnet_public(ec2, subnet_id, vpc_id: Optional[str]) -> bool: https://docs.aws.amazon.com/vpc/latest/userguide/VPC_Internet_Gateway.html """ # Get the route tables associated with the subnet - all_route_tables = _get_route_tables(ec2, vpc_id, main=False) + region = ec2.meta.client.meta.region_name + all_route_tables = _get_route_tables(ec2, vpc_id, region, main=False) route_tables = [ rt for rt in all_route_tables # An RT can be associated with multiple subnets, i.e., @@ -267,7 +286,8 @@ def _has_igw_route(route_tables): # subnets. Since the associations are implicit, the filter above won't find # any. Check there exists a main route table with routes pointing to an IGW. logger.debug('Checking main route table') - main_route_tables = _get_route_tables(ec2, vpc_id, main=True) + region = ec2.meta.client.meta.region_name + main_route_tables = _get_route_tables(ec2, vpc_id, region, main=True) return _has_igw_route(main_route_tables) From 56d21802d472429d111d5ceedc73a20e5c63a486 Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Fri, 8 Nov 2024 15:48:04 -0800 Subject: [PATCH 060/152] [k8s] Remove `lsof` dependence for tailing logs (#4304) remove lsof dependence --- sky/templates/kubernetes-ray.yml.j2 | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/sky/templates/kubernetes-ray.yml.j2 b/sky/templates/kubernetes-ray.yml.j2 index b807fd2135b..e367cd536f6 100644 --- a/sky/templates/kubernetes-ray.yml.j2 +++ b/sky/templates/kubernetes-ray.yml.j2 @@ -324,6 +324,8 @@ available_node_types: command: ["/bin/bash", "-c", "--"] args: - | + function mylsof { p=$(for pid in /proc/{0..9}*; do i=$(basename "$pid"); for file in "$pid"/fd/*; do link=$(readlink -e "$file"); if [ "$link" = "$1" ]; then echo "$i"; fi; done; done); echo "$p"; }; + # Tails file and checks every 5 sec for # open file handlers with write access # closes if none exist @@ -333,7 +335,7 @@ available_node_types: while kill -0 $TAIL_PID 2> /dev/null; do # only two PIDs should be accessing the file # the log appender and log tailer - if [ $(lsof -w $file | wc -l) -lt 3 ]; then + if [ $(mylsof $file | wc -l) -lt 2 ]; then kill $TAIL_PID break fi From 409b92f7ba857a7e0761ba5ca6f6ba66a8b698e9 Mon Sep 17 00:00:00 2001 From: Seth Kimmel Date: Fri, 8 Nov 2024 16:15:46 -0800 Subject: [PATCH 061/152] Mods to run from Modal (#3908) * Update command_runner.py * Update command_runner.py * Update wheel_utils.py * Update command_runner.py * Update wheel_utils.py * Update wheel_utils.py * Update command_runner.py * Update command_runner.py * Update command_runner.py * Update command_runner.py * Update command_runner.py * Update command_runner.py * Update command_runner.py * Update command_runner.py * Update command_runner.py * Update command_runner.py * Update wheel_utils.py * Update wheel_utils.py * Update wheel_utils.py * Update command_runner.py * Update wheel_utils.py * Update wheel_utils.py * Update wheel_utils.py * Update wheel_utils.py * Update wheel_utils.py * Update wheel_utils.py * Create control_master_checks.py * Update command_runner.py * Update wheel_utils.py * fix import * fix some pylint stuff * more pylint * more pylint * more pylint * yapf' * reorder imports * fix * updates from PR comments * formatting * fix * dummy * fix subprocess command * more changes * fix --- sky/backends/wheel_utils.py | 6 +++- sky/utils/command_runner.py | 5 +++- sky/utils/control_master_utils.py | 49 +++++++++++++++++++++++++++++++ 3 files changed, 58 insertions(+), 2 deletions(-) create mode 100644 sky/utils/control_master_utils.py diff --git a/sky/backends/wheel_utils.py b/sky/backends/wheel_utils.py index 44d47b52926..ed580569e0b 100644 --- a/sky/backends/wheel_utils.py +++ b/sky/backends/wheel_utils.py @@ -129,7 +129,11 @@ def _build_sky_wheel() -> pathlib.Path: wheel_dir = WHEEL_DIR / hash_of_latest_wheel wheel_dir.mkdir(parents=True, exist_ok=True) - shutil.move(str(wheel_path), wheel_dir) + # shutil.move will fail when the file already exists and is being + # moved across filesystems. + if not os.path.exists( + os.path.join(wheel_dir, os.path.basename(wheel_path))): + shutil.move(str(wheel_path), wheel_dir) return wheel_dir / wheel_path.name diff --git a/sky/utils/command_runner.py b/sky/utils/command_runner.py index 2ac1dfdea10..e705debaf8d 100644 --- a/sky/utils/command_runner.py +++ b/sky/utils/command_runner.py @@ -11,6 +11,7 @@ from sky.skylet import constants from sky.skylet import log_lib from sky.utils import common_utils +from sky.utils import control_master_utils from sky.utils import subprocess_utils from sky.utils import timeline @@ -468,7 +469,9 @@ def __init__( None if ssh_control_name is None else hashlib.md5( ssh_control_name.encode()).hexdigest()[:_HASH_MAX_LENGTH]) self._ssh_proxy_command = ssh_proxy_command - self.disable_control_master = disable_control_master + self.disable_control_master = ( + disable_control_master or + control_master_utils.should_disable_control_master()) if docker_user is not None: assert port is None or port == 22, ( f'port must be None or 22 for docker_user, got {port}.') diff --git a/sky/utils/control_master_utils.py b/sky/utils/control_master_utils.py new file mode 100644 index 00000000000..d645014c417 --- /dev/null +++ b/sky/utils/control_master_utils.py @@ -0,0 +1,49 @@ +"""Utils to check if the ssh control master should be disabled.""" + +import functools + +from sky import sky_logging +from sky.utils import subprocess_utils + +logger = sky_logging.init_logger(__name__) + + +def is_tmp_9p_filesystem() -> bool: + """Check if the /tmp filesystem is 9p. + + Returns: + bool: True if the /tmp filesystem is 9p, False otherwise. + """ + + result = subprocess_utils.run(['df', '-T', '/tmp'], + capture_output=True, + text=True, + shell=None, + check=False, + executable=None) + + if result.returncode != 0: + return False + + filesystem_infos = result.stdout.strip().split('\n') + if len(filesystem_infos) < 2: + return False + filesystem_types = filesystem_infos[1].split() + if len(filesystem_types) < 2: + return False + return filesystem_types[1].lower() == '9p' + + +@functools.lru_cache +def should_disable_control_master() -> bool: + """Whether disable ssh control master based on file system. + + Returns: + bool: True if the ssh control master should be disabled, + False otherwise. + """ + if is_tmp_9p_filesystem(): + return True + # there may be additional criteria to disable ssh control master + # in the future. They should be checked here + return False From 6fda9fd5717cfb08afd5ad7e8cff0a8f95bf6200 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Fri, 8 Nov 2024 17:48:22 -0800 Subject: [PATCH 062/152] [Admin Policy] Apply policy in CLI (#4271) * Apply policy in CLI * idempotent warning * Add TODO --- docs/source/cloud-setup/policy.rst | 3 +++ sky/cli.py | 17 +++++++++++++++++ sky/dag.py | 1 + sky/execution.py | 18 ++++++++++-------- sky/jobs/core.py | 4 +++- sky/serve/core.py | 12 +++++++++++- sky/utils/admin_policy_utils.py | 1 + 7 files changed, 46 insertions(+), 10 deletions(-) diff --git a/docs/source/cloud-setup/policy.rst b/docs/source/cloud-setup/policy.rst index 288eb79ed53..663b2db7f28 100644 --- a/docs/source/cloud-setup/policy.rst +++ b/docs/source/cloud-setup/policy.rst @@ -113,6 +113,9 @@ The ``sky.Config`` and ``sky.RequestOptions`` classes are defined as follows: :pyobject: RequestOptions :caption: `RequestOptions Class `_ +.. note:: + + The ``sky.AdminPolicy`` should be idempotent. In other words, it should be safe to apply the policy multiple times to the same user request. Example Policies ---------------- diff --git a/sky/cli.py b/sky/cli.py index 44e8e4b302e..29e3b2e51cf 100644 --- a/sky/cli.py +++ b/sky/cli.py @@ -46,6 +46,7 @@ import yaml import sky +from sky import admin_policy from sky import backends from sky import check as sky_check from sky import clouds as sky_clouds @@ -67,6 +68,7 @@ from sky.skylet import job_lib from sky.skylet import log_lib from sky.usage import usage_lib +from sky.utils import admin_policy_utils from sky.utils import common_utils from sky.utils import controller_utils from sky.utils import dag_utils @@ -582,6 +584,15 @@ def _launch_with_confirm( with ux_utils.print_exception_no_traceback(): raise RuntimeError(f'{colorama.Fore.YELLOW}{e}' f'{colorama.Style.RESET_ALL}') from e + dag, _ = admin_policy_utils.apply( + dag, + request_options=admin_policy.RequestOptions( + cluster_name=cluster, + idle_minutes_to_autostop=idle_minutes_to_autostop, + down=down, + dryrun=dryrun, + ), + ) dag = sky.optimize(dag) task = dag.tasks[0] @@ -3667,6 +3678,8 @@ def jobs_launch( click.secho(f'Managed job {dag.name!r} will be launched on (estimated):', fg='cyan') + dag, _ = admin_policy_utils.apply( + dag, use_mutated_config_in_current_request=False) dag = sky.optimize(dag) if not yes: @@ -4145,6 +4158,8 @@ def serve_up( fg='cyan') with sky.Dag() as dag: dag.add(task) + dag, _ = admin_policy_utils.apply( + dag, use_mutated_config_in_current_request=False) sky.optimize(dag) if not yes: @@ -4261,6 +4276,8 @@ def serve_update( fg='cyan') with sky.Dag() as dag: dag.add(task) + dag, _ = admin_policy_utils.apply( + dag, use_mutated_config_in_current_request=False) sky.optimize(dag) if not yes: diff --git a/sky/dag.py b/sky/dag.py index 4af5adc76b5..dc580d0cf6c 100644 --- a/sky/dag.py +++ b/sky/dag.py @@ -23,6 +23,7 @@ def __init__(self) -> None: self.graph = nx.DiGraph() self.name: Optional[str] = None + self.policy_applied: bool = False def add(self, task: 'task.Task') -> None: self.graph.add_node(task) diff --git a/sky/execution.py b/sky/execution.py index 8fab5e583fb..df3cdd5efdb 100644 --- a/sky/execution.py +++ b/sky/execution.py @@ -160,14 +160,16 @@ def _execute( """ dag = dag_utils.convert_entrypoint_to_dag(entrypoint) - dag, _ = admin_policy_utils.apply( - dag, - request_options=admin_policy.RequestOptions( - cluster_name=cluster_name, - idle_minutes_to_autostop=idle_minutes_to_autostop, - down=down, - dryrun=dryrun, - )) + if not dag.policy_applied: + dag, _ = admin_policy_utils.apply( + dag, + request_options=admin_policy.RequestOptions( + cluster_name=cluster_name, + idle_minutes_to_autostop=idle_minutes_to_autostop, + down=down, + dryrun=dryrun, + ), + ) assert len(dag) == 1, f'We support 1 task for now. {dag}' task = dag.tasks[0] diff --git a/sky/jobs/core.py b/sky/jobs/core.py index 5668e19332a..9532bd0fa19 100644 --- a/sky/jobs/core.py +++ b/sky/jobs/core.py @@ -59,8 +59,10 @@ def launch( """ entrypoint = task dag_uuid = str(uuid.uuid4().hex[:4]) - dag = dag_utils.convert_entrypoint_to_dag(entrypoint) + # Always apply the policy again here, even though it might have been applied + # in the CLI. This is to ensure that we apply the policy to the final DAG + # and get the mutated config. dag, mutated_user_config = admin_policy_utils.apply( dag, use_mutated_config_in_current_request=False) if not dag.is_chain(): diff --git a/sky/serve/core.py b/sky/serve/core.py index ea8f380a2e7..abf9bfbc719 100644 --- a/sky/serve/core.py +++ b/sky/serve/core.py @@ -124,7 +124,9 @@ def up( f'{constants.CLUSTER_NAME_VALID_REGEX}') _validate_service_task(task) - + # Always apply the policy again here, even though it might have been applied + # in the CLI. This is to ensure that we apply the policy to the final DAG + # and get the mutated config. dag, mutated_user_config = admin_policy_utils.apply( task, use_mutated_config_in_current_request=False) task = dag.tasks[0] @@ -319,6 +321,14 @@ def update( service_name: Name of the service. """ _validate_service_task(task) + # Always apply the policy again here, even though it might have been applied + # in the CLI. This is to ensure that we apply the policy to the final DAG + # and get the mutated config. + # TODO(cblmemo,zhwu): If a user sets a new skypilot_config, the update + # will not apply the config. + dag, _ = admin_policy_utils.apply( + task, use_mutated_config_in_current_request=False) + task = dag.tasks[0] handle = backend_utils.is_controller_accessible( controller=controller_utils.Controllers.SKY_SERVE_CONTROLLER, stopped_message= diff --git a/sky/utils/admin_policy_utils.py b/sky/utils/admin_policy_utils.py index 09db2fc4be8..a83283f7dd6 100644 --- a/sky/utils/admin_policy_utils.py +++ b/sky/utils/admin_policy_utils.py @@ -142,4 +142,5 @@ def apply( importlib.reload(skypilot_config) logger.debug(f'Mutated user request: {mutated_user_request}') + mutated_dag.policy_applied = True return mutated_dag, mutated_config From 42c79e1d0a5e018e275705ada53957573f9a0181 Mon Sep 17 00:00:00 2001 From: zpoint Date: Sat, 9 Nov 2024 13:19:52 +0800 Subject: [PATCH 063/152] [UX] Support --tail parameter for sky logs (#4241) * support -n parameter for sky logs * format * fix format * format fix again * fix pylint * fix format * rename the -n to --tail * fix format * remove -n * resolve comment * backward compatiability * pass yapf * backward compatiability * format * yapf * restore change and add comment * moving the comment closer to the place Co-authored-by: Zhanghao Wu * reslove comment * peek the head instead of loading the whole file to memory * bug fix * rephrase function name and comment * fix * remove readlines * reslove comment --------- Co-authored-by: Zhanghao Wu --- sky/backends/cloud_vm_ray_backend.py | 8 ++- sky/cli.py | 9 ++- sky/core.py | 5 +- sky/skylet/constants.py | 2 +- sky/skylet/job_lib.py | 13 ++++- sky/skylet/log_lib.py | 85 +++++++++++++++++++++++++--- 6 files changed, 105 insertions(+), 17 deletions(-) diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index 68d9bfecfb0..0198ca45d71 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -3711,7 +3711,8 @@ def tail_logs(self, handle: CloudVmRayResourceHandle, job_id: Optional[int], managed_job_id: Optional[int] = None, - follow: bool = True) -> int: + follow: bool = True, + tail: int = 0) -> int: """Tail the logs of a job. Args: @@ -3719,10 +3720,13 @@ def tail_logs(self, job_id: The job ID to tail the logs of. managed_job_id: The managed job ID for display purpose only. follow: Whether to follow the logs. + tail: The number of lines to display from the end of the + log file. If 0, print all lines. """ code = job_lib.JobLibCodeGen.tail_logs(job_id, managed_job_id=managed_job_id, - follow=follow) + follow=follow, + tail=tail) if job_id is None and managed_job_id is None: logger.info( 'Job ID not provided. Streaming the logs of the latest job.') diff --git a/sky/cli.py b/sky/cli.py index 29e3b2e51cf..c74b2f3ad5d 100644 --- a/sky/cli.py +++ b/sky/cli.py @@ -2022,6 +2022,12 @@ def queue(clusters: List[str], skip_finished: bool, all_users: bool): help=('Follow the logs of a job. ' 'If --no-follow is specified, print the log so far and exit. ' '[default: --follow]')) +@click.option( + '--tail', + default=0, + type=int, + help=('The number of lines to display from the end of the log file. ' + 'Default is 0, which means print all lines.')) @click.argument('cluster', required=True, type=str, @@ -2035,6 +2041,7 @@ def logs( sync_down: bool, status: bool, # pylint: disable=redefined-outer-name follow: bool, + tail: int, ): # NOTE(dev): Keep the docstring consistent between the Python API and CLI. """Tail the log of a job. @@ -2101,7 +2108,7 @@ def logs( click.secho(f'Job {id_str}not found', fg='red') sys.exit(1) - core.tail_logs(cluster, job_id, follow) + core.tail_logs(cluster, job_id, follow, tail) @cli.command() diff --git a/sky/core.py b/sky/core.py index 496b8b8ad5e..4bb12f4a21a 100644 --- a/sky/core.py +++ b/sky/core.py @@ -742,7 +742,8 @@ def cancel( @usage_lib.entrypoint def tail_logs(cluster_name: str, job_id: Optional[int], - follow: bool = True) -> None: + follow: bool = True, + tail: int = 0) -> None: # NOTE(dev): Keep the docstring consistent between the Python API and CLI. """Tail the logs of a job. @@ -775,7 +776,7 @@ def tail_logs(cluster_name: str, f'{colorama.Style.RESET_ALL}') usage_lib.record_cluster_name_for_current_operation(cluster_name) - backend.tail_logs(handle, job_id, follow=follow) + backend.tail_logs(handle, job_id, follow=follow, tail=tail) @usage_lib.entrypoint diff --git a/sky/skylet/constants.py b/sky/skylet/constants.py index a9b8013cad7..91476cf8f6f 100644 --- a/sky/skylet/constants.py +++ b/sky/skylet/constants.py @@ -79,7 +79,7 @@ # The version of the lib files that skylet/jobs use. Whenever there is an API # change for the job_lib or log_lib, we need to bump this version, so that the # user can be notified to update their SkyPilot version on the remote cluster. -SKYLET_LIB_VERSION = 1 +SKYLET_LIB_VERSION = 2 SKYLET_VERSION_FILE = '~/.sky/skylet_version' # `sky jobs dashboard`-related diff --git a/sky/skylet/job_lib.py b/sky/skylet/job_lib.py index fba015618f2..02040ac705a 100644 --- a/sky/skylet/job_lib.py +++ b/sky/skylet/job_lib.py @@ -29,6 +29,7 @@ logger = sky_logging.init_logger(__name__) +_LINUX_NEW_LINE = '\n' _JOB_STATUS_LOCK = '~/.sky/locks/.job_{}.lock' @@ -602,6 +603,7 @@ def update_job_status(job_ids: List[int], # the pending table until appearing in ray jobs. For jobs # submitted outside of the grace period, we will consider the # ray job status. + if not (pending_job['submit'] > 0 and pending_job['submit'] < ray_job_query_time - _PENDING_SUBMIT_GRACE_PERIOD): # Reset the job status to PENDING even though it may not @@ -903,14 +905,19 @@ def fail_all_jobs_in_progress(cls) -> str: def tail_logs(cls, job_id: Optional[int], managed_job_id: Optional[int], - follow: bool = True) -> str: + follow: bool = True, + tail: int = 0) -> str: # pylint: disable=line-too-long + code = [ + # We use != instead of is not because 1 is not None will print a warning: + # :1: SyntaxWarning: "is not" with a literal. Did you mean "!="? f'job_id = {job_id} if {job_id} != None else job_lib.get_latest_job_id()', 'run_timestamp = job_lib.get_run_timestamp(job_id)', f'log_dir = None if run_timestamp is None else os.path.join({constants.SKY_LOGS_DIRECTORY!r}, run_timestamp)', - f'log_lib.tail_logs(job_id=job_id, log_dir=log_dir, ' - f'managed_job_id={managed_job_id!r}, follow={follow})', + f'tail_log_kwargs = {{"job_id": job_id, "log_dir": log_dir, "managed_job_id": {managed_job_id!r}, "follow": {follow}}}', + f'{_LINUX_NEW_LINE}if getattr(constants, "SKYLET_LIB_VERSION", 1) > 1: tail_log_kwargs["tail"] = {tail}', + f'{_LINUX_NEW_LINE}log_lib.tail_logs(**tail_log_kwargs)', ] return cls._build(code) diff --git a/sky/skylet/log_lib.py b/sky/skylet/log_lib.py index eb64440077e..391fa8c4fe5 100644 --- a/sky/skylet/log_lib.py +++ b/sky/skylet/log_lib.py @@ -2,6 +2,7 @@ This is a remote utility module that provides logging functionality. """ +import collections import copy import io import multiprocessing.pool @@ -12,7 +13,8 @@ import tempfile import textwrap import time -from typing import Dict, Iterator, List, Optional, Tuple, Union +from typing import (Deque, Dict, Iterable, Iterator, List, Optional, TextIO, + Tuple, Union) import colorama @@ -26,6 +28,9 @@ _SKY_LOG_WAITING_GAP_SECONDS = 1 _SKY_LOG_WAITING_MAX_RETRY = 5 _SKY_LOG_TAILING_GAP_SECONDS = 0.2 +# Peek the head of the lines to check if we need to start +# streaming when tail > 0. +PEEK_HEAD_LINES_FOR_START_STREAM = 20 logger = sky_logging.init_logger(__name__) @@ -330,6 +335,7 @@ def run_bash_command_with_log(bash_command: str, def _follow_job_logs(file, job_id: int, + start_streaming: bool, start_streaming_at: str = '') -> Iterator[str]: """Yield each line from a file as they are written. @@ -338,7 +344,6 @@ def _follow_job_logs(file, # No need to lock the status here, as the while loop can handle # the older status. status = job_lib.get_status_no_lock(job_id) - start_streaming = False wait_last_logs = True while True: tmp = file.readline() @@ -378,10 +383,45 @@ def _follow_job_logs(file, status = job_lib.get_status_no_lock(job_id) +def _peek_head_lines(log_file: TextIO) -> List[str]: + """Peek the head of the file.""" + lines = [ + log_file.readline() for _ in range(PEEK_HEAD_LINES_FOR_START_STREAM) + ] + # Reset the file pointer to the beginning + log_file.seek(0, os.SEEK_SET) + return [line for line in lines if line] + + +def _should_stream_the_whole_tail_lines(head_lines_of_log_file: List[str], + tail_lines: Deque[str], + start_stream_at: str) -> bool: + """Check if the entire tail lines should be streamed.""" + # See comment: + # https://github.com/skypilot-org/skypilot/pull/4241#discussion_r1833611567 + # for more details. + # Case 1: If start_stream_at is found at the head of the tail lines, + # we should not stream the whole tail lines. + for index, line in enumerate(tail_lines): + if index >= PEEK_HEAD_LINES_FOR_START_STREAM: + break + if start_stream_at in line: + return False + # Case 2: If start_stream_at is found at the head of log file, but not at + # the tail lines, we need to stream the whole tail lines. + for line in head_lines_of_log_file: + if start_stream_at in line: + return True + # Case 3: If start_stream_at is not at the head, and not found at the tail + # lines, we should not stream the whole tail lines. + return False + + def tail_logs(job_id: Optional[int], log_dir: Optional[str], managed_job_id: Optional[int] = None, - follow: bool = True) -> None: + follow: bool = True, + tail: int = 0) -> None: """Tail the logs of a job. Args: @@ -390,6 +430,8 @@ def tail_logs(job_id: Optional[int], managed_job_id: The managed job id (for logging info only to avoid confusion). follow: Whether to follow the logs or print the logs so far and exit. + tail: The number of lines to display from the end of the log file, + if 0, print all lines. """ if job_id is None: # This only happens when job_lib.get_latest_job_id() returns None, @@ -430,6 +472,8 @@ def tail_logs(job_id: Optional[int], status = job_lib.update_job_status([job_id], silent=True)[0] start_stream_at = 'Waiting for task resources on ' + # Explicitly declare the type to avoid mypy warning. + lines: Iterable[str] = [] if follow and status in [ job_lib.JobStatus.SETTING_UP, job_lib.JobStatus.PENDING, @@ -440,18 +484,43 @@ def tail_logs(job_id: Optional[int], with open(log_path, 'r', newline='', encoding='utf-8') as log_file: # Using `_follow` instead of `tail -f` to streaming the whole # log and creating a new process for tail. + start_streaming = False + if tail > 0: + head_lines_of_log_file = _peek_head_lines(log_file) + lines = collections.deque(log_file, maxlen=tail) + start_streaming = _should_stream_the_whole_tail_lines( + head_lines_of_log_file, lines, start_stream_at) + for line in lines: + if start_stream_at in line: + start_streaming = True + if start_streaming: + print(line, end='') + # Flush the last n lines + print(end='', flush=True) + # Now, the cursor is at the end of the last lines + # if tail > 0 for line in _follow_job_logs(log_file, job_id=job_id, + start_streaming=start_streaming, start_streaming_at=start_stream_at): print(line, end='', flush=True) else: try: - start_stream = False - with open(log_path, 'r', encoding='utf-8') as f: - for line in f.readlines(): + start_streaming = False + with open(log_path, 'r', encoding='utf-8') as log_file: + if tail > 0: + # If tail > 0, we need to read the last n lines. + # We use double ended queue to rotate the last n lines. + head_lines_of_log_file = _peek_head_lines(log_file) + lines = collections.deque(log_file, maxlen=tail) + start_streaming = _should_stream_the_whole_tail_lines( + head_lines_of_log_file, lines, start_stream_at) + else: + lines = log_file + for line in lines: if start_stream_at in line: - start_stream = True - if start_stream: + start_streaming = True + if start_streaming: print(line, end='', flush=True) except FileNotFoundError: print(f'{colorama.Fore.RED}ERROR: Logs for job {job_id} (status:' From 1b3d968ab615a7ffcb4f23c0324c058ffb1e48da Mon Sep 17 00:00:00 2001 From: Andy Lee Date: Sat, 9 Nov 2024 14:40:05 -0800 Subject: [PATCH 064/152] [Jobs] Fix `is_chain` to check in- and out-degrees (#4194) * fix: is_chain also checks out_degrees * Apply suggestions from code review Co-authored-by: Tian Xia * test(dag): add unit tests for is_chain() method * format. btw why tests/* not included in `format.sh`? * Apply suggestions from code review Co-authored-by: Tian Xia * test: fix tests with cleaner structure * format --------- Co-authored-by: Tian Xia --- sky/dag.py | 34 ++++---- tests/unit_tests/test_dag.py | 148 +++++++++++++++++++++++++++++++++++ 2 files changed, 167 insertions(+), 15 deletions(-) create mode 100644 tests/unit_tests/test_dag.py diff --git a/sky/dag.py b/sky/dag.py index dc580d0cf6c..19df5107085 100644 --- a/sky/dag.py +++ b/sky/dag.py @@ -56,21 +56,25 @@ def get_graph(self): return self.graph def is_chain(self) -> bool: - # NOTE: this method assumes that the graph has no cycle. - is_chain = True - visited_zero_out_degree = False - for node in self.graph.nodes: - out_degree = self.graph.out_degree(node) - if out_degree > 1: - is_chain = False - break - elif out_degree == 0: - if visited_zero_out_degree: - is_chain = False - break - else: - visited_zero_out_degree = True - return is_chain + """Check if the DAG is a linear chain of tasks.""" + + nodes = list(self.graph.nodes) + + if len(nodes) == 0: + return True + + in_degrees = [self.graph.in_degree(node) for node in nodes] + out_degrees = [self.graph.out_degree(node) for node in nodes] + + # Check out-degrees: all <= 1 and exactly one node has out_degree == 0 + out_degree_condition = (all(degree <= 1 for degree in out_degrees) and + sum(degree == 0 for degree in out_degrees) == 1) + + # Check in-degrees: all <= 1 and exactly one node has in_degree == 0 + in_degree_condition = (all(degree <= 1 for degree in in_degrees) and + sum(degree == 0 for degree in in_degrees) == 1) + + return out_degree_condition and in_degree_condition class _DagContext(threading.local): diff --git a/tests/unit_tests/test_dag.py b/tests/unit_tests/test_dag.py new file mode 100644 index 00000000000..9bc626b0085 --- /dev/null +++ b/tests/unit_tests/test_dag.py @@ -0,0 +1,148 @@ +"""Unit tests for sky.dag.""" +import pytest + +import sky + + +@pytest.fixture +def empty_dag(): + """Fixture for an empty DAG.""" + with sky.Dag() as dag: + yield dag + + +@pytest.fixture +def single_task_dag(): + """Fixture for a DAG with single task.""" + with sky.Dag() as dag: + sky.Task() + yield dag + + +@pytest.fixture +def linear_three_task_dag(): + """Fixture for a DAG with three tasks in a linear chain.""" + with sky.Dag() as dag: + task1 = sky.Task() + task2 = sky.Task() + task3 = sky.Task() + dag.add_edge(task1, task2) + dag.add_edge(task2, task3) + yield dag + + +@pytest.fixture +def branching_dag(): + """Fixture for a DAG with one task branching into two tasks.""" + with sky.Dag() as dag: + dag._tasks = [sky.Task() for _ in range(3)] + dag.add_edge(dag.tasks[0], dag.tasks[1]) + dag.add_edge(dag.tasks[0], dag.tasks[2]) + yield dag + + +@pytest.fixture +def merging_dag(): + """Fixture for a DAG with two tasks merging into one task.""" + with sky.Dag() as dag: + dag._tasks = [sky.Task() for _ in range(3)] + dag.add_edge(dag.tasks[0], dag.tasks[2]) + dag.add_edge(dag.tasks[1], dag.tasks[2]) + yield dag + + +@pytest.fixture +def multi_parent_dag(): + """Fixture for a DAG with two tasks merging into one task.""" + with sky.Dag() as dag: + dag._tasks = [sky.Task() for _ in range(3)] + dag.add_edge(dag.tasks[0], dag.tasks[2]) + dag.add_edge(dag.tasks[1], dag.tasks[2]) + yield dag + + +@pytest.fixture +def diamond_dag(): + """Fixture for a diamond-shaped DAG: A -> (B,C) -> D.""" + with sky.Dag() as dag: + dag._tasks = [sky.Task() for _ in range(4)] + dag.add_edge(dag.tasks[0], dag.tasks[1]) + dag.add_edge(dag.tasks[0], dag.tasks[2]) + dag.add_edge(dag.tasks[1], dag.tasks[3]) + dag.add_edge(dag.tasks[2], dag.tasks[3]) + yield dag + + +@pytest.fixture +def cyclic_dag(): + """Fixture for a DAG with a cycle (invalid DAG).""" + with sky.Dag() as dag: + task1 = sky.Task() + task2 = sky.Task() + dag.add_edge(task1, task2) + dag.add_edge(task2, task1) # Create cycle + yield dag + + +@pytest.mark.parametrize('dag_fixture,description', [ + ('empty_dag', 'Empty DAG'), + ('single_task_dag', 'Single task DAG'), + ('linear_three_task_dag', 'Linear chain of three tasks'), +]) +def test_is_chain_true_cases(request, dag_fixture, description): + """Test cases where is_chain() should return True.""" + dag = request.getfixturevalue(dag_fixture) + assert dag.is_chain(), f"Failed for case: {description}" + + +@pytest.mark.parametrize('dag_fixture,description', [ + ('branching_dag', 'Branching DAG'), + ('merging_dag', 'Merging DAG'), + ('diamond_dag', 'Diamond DAG'), +]) +def test_is_chain_false_cases(request, dag_fixture, description): + """Test cases where is_chain() should return False.""" + dag = request.getfixturevalue(dag_fixture) + assert not dag.is_chain(), f"Failed for case: {description}" + + +@pytest.mark.parametrize('dag_fixture,description,expected_old,expected_new', [ + ('linear_three_task_dag', 'Linear chain of three tasks', True, True), + ('multi_parent_dag', 'DAG with two tasks merging into one task', True, + False), +]) +def test_is_chain_regression(request, dag_fixture, description, expected_old, + expected_new): + """Regression test comparing new implementation with old behavior.""" + dag = request.getfixturevalue(dag_fixture) + + def old_is_chain(dag): + # Old implementation + is_chain = True + visited_zero_out_degree = False + for node in dag.graph.nodes: + out_degree = dag.graph.out_degree(node) + if out_degree > 1: + is_chain = False + break + elif out_degree == 0: + if visited_zero_out_degree: + is_chain = False + break + else: + visited_zero_out_degree = True + return is_chain + + assert dag.is_chain() == expected_new, f"Failed for case: {description}" + assert old_is_chain(dag) == expected_old, f"Failed for case: {description}" + + +# TODO(andy): Currently cyclic DAGs are not detected and is_chain() simply +# returns False. Once we implement cycle detection that raises an error, +# update this test to use pytest.raises. +@pytest.mark.xfail(reason="Cycle detection not implemented yet") +def test_is_chain_with_cycle(cyclic_dag): + """Test is_chain() with cyclic graph. + """ + with pytest.raises(ValueError): + cyclic_dag.is_chain() From 294401455fca036829a342f26e1718e243bad300 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Sat, 9 Nov 2024 15:56:20 -0800 Subject: [PATCH 065/152] [Core] Avoid job scheduling race condition (#4310) * Avoid job schedule race condition * format * format * Avoid race for cancel --- sky/skylet/job_lib.py | 46 +++++++++++++++++++++++++++---------------- 1 file changed, 29 insertions(+), 17 deletions(-) diff --git a/sky/skylet/job_lib.py b/sky/skylet/job_lib.py index 02040ac705a..ee7aee85f36 100644 --- a/sky/skylet/job_lib.py +++ b/sky/skylet/job_lib.py @@ -11,8 +11,7 @@ import sqlite3 import subprocess import time -import typing -from typing import Any, Dict, List, Optional, Tuple +from typing import Any, Dict, List, Optional import colorama import filelock @@ -24,9 +23,6 @@ from sky.utils import db_utils from sky.utils import log_utils -if typing.TYPE_CHECKING: - from ray.dashboard.modules.job import pydantic_models as ray_pydantic - logger = sky_logging.init_logger(__name__) _LINUX_NEW_LINE = '\n' @@ -184,12 +180,20 @@ def _run_job(self, job_id: int, run_cmd: str): def schedule_step(self, force_update_jobs: bool = False) -> None: if force_update_jobs: update_status() - pending_jobs = self._get_pending_jobs() + pending_job_ids = self._get_pending_job_ids() # TODO(zhwu, mraheja): One optimization can be allowing more than one # job staying in the pending state after ray job submit, so that to be # faster to schedule a large amount of jobs. - for job_id, run_cmd, submit, created_time in pending_jobs: + for job_id in pending_job_ids: with filelock.FileLock(_get_lock_path(job_id)): + pending_job = _get_pending_job(job_id) + if pending_job is None: + # Pending job can be removed by another thread, due to the + # job being scheduled already. + continue + run_cmd = pending_job['run_cmd'] + submit = pending_job['submit'] + created_time = pending_job['created_time'] # We don't have to refresh the job status before checking, as # the job status will only be stale in rare cases where ray job # crashes; or the job stays in INIT state for a long time. @@ -208,8 +212,8 @@ def schedule_step(self, force_update_jobs: bool = False) -> None: self._run_job(job_id, run_cmd) return - def _get_pending_jobs(self) -> List[Tuple[int, str, int, int]]: - """Returns the metadata for jobs in the pending jobs table + def _get_pending_job_ids(self) -> List[int]: + """Returns the job ids in the pending jobs table The information contains job_id, run command, submit time, creation time. @@ -220,9 +224,10 @@ def _get_pending_jobs(self) -> List[Tuple[int, str, int, int]]: class FIFOScheduler(JobScheduler): """First in first out job scheduler""" - def _get_pending_jobs(self) -> List[Tuple[int, str, int, int]]: - return list( - _CURSOR.execute('SELECT * FROM pending_jobs ORDER BY job_id')) + def _get_pending_job_ids(self) -> List[int]: + rows = _CURSOR.execute( + 'SELECT job_id FROM pending_jobs ORDER BY job_id').fetchall() + return [row[0] for row in rows] scheduler = FIFOScheduler() @@ -519,11 +524,16 @@ def _get_jobs_by_ids(job_ids: List[int]) -> List[Dict[str, Any]]: def _get_pending_job(job_id: int) -> Optional[Dict[str, Any]]: - rows = _CURSOR.execute('SELECT created_time, submit FROM pending_jobs ' - f'WHERE job_id={job_id!r}') + rows = _CURSOR.execute( + 'SELECT created_time, submit, run_cmd FROM pending_jobs ' + f'WHERE job_id={job_id!r}') for row in rows: - created_time, submit = row - return {'created_time': created_time, 'submit': submit} + created_time, submit, run_cmd = row + return { + 'created_time': created_time, + 'submit': submit, + 'run_cmd': run_cmd + } return None @@ -794,7 +804,9 @@ def cancel_jobs_encoded_results(jobs: Optional[List[int]], logger.warning(str(e)) continue - if job['status'] in [ + # Get the job status again to avoid race condition. + job_status = get_status_no_lock(job['job_id']) + if job_status in [ JobStatus.PENDING, JobStatus.SETTING_UP, JobStatus.RUNNING ]: _set_status_no_lock(job['job_id'], JobStatus.CANCELLED) From dddd65187953a5d6b32f762bea78eed1f109ec3c Mon Sep 17 00:00:00 2001 From: Hysun He Date: Sun, 10 Nov 2024 14:40:46 +0800 Subject: [PATCH 066/152] [OCI] Re-Implementation with the new provision API framework. (#4119) * [OCI] Re-Implementation with the new provision API framework. * Addressed review comments * format * Update sky/provision/oci/config.py Co-authored-by: Tian Xia * nit --------- Co-authored-by: Tian Xia --- sky/backends/cloud_vm_ray_backend.py | 19 - sky/clouds/oci.py | 32 +- sky/clouds/service_catalog/oci_catalog.py | 2 +- sky/clouds/utils/oci_utils.py | 18 +- sky/provision/__init__.py | 1 + sky/provision/oci/__init__.py | 15 + sky/provision/oci/config.py | 51 ++ sky/provision/oci/instance.py | 430 +++++++++++++++ .../oci/query_utils.py} | 207 +++++--- sky/setup_files/MANIFEST.in | 1 - sky/skylet/providers/oci/__init__.py | 2 - sky/skylet/providers/oci/node_provider.py | 488 ------------------ sky/skylet/providers/oci/utils.py | 21 - sky/templates/oci-ray.yml.j2 | 56 +- 14 files changed, 676 insertions(+), 667 deletions(-) create mode 100644 sky/provision/oci/__init__.py create mode 100644 sky/provision/oci/config.py create mode 100644 sky/provision/oci/instance.py rename sky/{skylet/providers/oci/query_helper.py => provision/oci/query_utils.py} (70%) delete mode 100644 sky/skylet/providers/oci/__init__.py delete mode 100644 sky/skylet/providers/oci/node_provider.py delete mode 100644 sky/skylet/providers/oci/utils.py diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index 0198ca45d71..e338eecb744 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -3979,25 +3979,6 @@ def teardown_no_lock(self, stdout = '' stderr = str(e) - # Apr, 2023 by Hysun(hysun.he@oracle.com): Added support for OCI - # May, 2023 by Hysun: Allow terminate INIT cluster which may have - # some instances provisioning in background but not completed. - elif (isinstance(cloud, clouds.OCI) and terminate and - prev_cluster_status in (status_lib.ClusterStatus.STOPPED, - status_lib.ClusterStatus.INIT)): - region = config['provider']['region'] - - # pylint: disable=import-outside-toplevel - from ray.autoscaler.tags import TAG_RAY_CLUSTER_NAME - - from sky.skylet.providers.oci.query_helper import oci_query_helper - - # 0: All terminated successfully, failed count otherwise - returncode = oci_query_helper.terminate_instances_by_tags( - {TAG_RAY_CLUSTER_NAME: cluster_name_on_cloud}, region) - - # To avoid undefined local variables error. - stdout = stderr = '' else: config['provider']['cache_stopped_nodes'] = not terminate with tempfile.NamedTemporaryFile('w', diff --git a/sky/clouds/oci.py b/sky/clouds/oci.py index 93a70c5ac37..0ebf44b4d0b 100644 --- a/sky/clouds/oci.py +++ b/sky/clouds/oci.py @@ -31,6 +31,7 @@ from sky.adaptors import oci as oci_adaptor from sky.clouds import service_catalog from sky.clouds.utils import oci_utils +from sky.provision.oci.query_utils import query_helper from sky.utils import common_utils from sky.utils import resources_utils from sky.utils import ux_utils @@ -60,6 +61,9 @@ class OCI(clouds.Cloud): {resources_utils.DiskTier.ULTRA}) _BEST_DISK_TIER = resources_utils.DiskTier.HIGH + PROVISIONER_VERSION = clouds.ProvisionerVersion.SKYPILOT + STATUS_VERSION = clouds.StatusVersion.SKYPILOT + @classmethod def _unsupported_features_for_resources( cls, resources: 'resources_lib.Resources' @@ -433,7 +437,7 @@ def check_credentials(cls) -> Tuple[bool, Optional[str]]: return True, None except (oci_adaptor.oci.exceptions.ConfigFileNotFound, oci_adaptor.oci.exceptions.InvalidConfig, - oci_adaptor.service_exception()) as e: + oci_adaptor.oci.exceptions.ServiceError) as e: return False, ( f'OCI credential is not correctly set. ' f'Check the credential file at {conf_file}\n' @@ -597,25 +601,11 @@ def query_status(cls, name: str, tag_filters: Dict[str, str], region: Optional[str], zone: Optional[str], **kwargs) -> List[status_lib.ClusterStatus]: del zone, kwargs # Unused. - # Check the lifecycleState definition from the page - # https://docs.oracle.com/en-us/iaas/api/#/en/iaas/latest/Instance/ - status_map = { - 'PROVISIONING': status_lib.ClusterStatus.INIT, - 'STARTING': status_lib.ClusterStatus.INIT, - 'RUNNING': status_lib.ClusterStatus.UP, - 'STOPPING': status_lib.ClusterStatus.STOPPED, - 'STOPPED': status_lib.ClusterStatus.STOPPED, - 'TERMINATED': None, - 'TERMINATING': None, - } - - # pylint: disable=import-outside-toplevel - from sky.skylet.providers.oci.query_helper import oci_query_helper status_list = [] try: - vms = oci_query_helper.query_instances_by_tags( - tag_filters=tag_filters, region=region) + vms = query_helper.query_instances_by_tags(tag_filters=tag_filters, + region=region) except Exception as e: # pylint: disable=broad-except with ux_utils.print_exception_no_traceback(): raise exceptions.ClusterStatusFetchingError( @@ -625,9 +615,9 @@ def query_status(cls, name: str, tag_filters: Dict[str, str], for node in vms: vm_status = node.lifecycle_state - if vm_status in status_map: - sky_status = status_map[vm_status] - if sky_status is not None: - status_list.append(sky_status) + sky_status = oci_utils.oci_config.STATE_MAPPING_OCI_TO_SKY.get( + vm_status, None) + if sky_status is not None: + status_list.append(sky_status) return status_list diff --git a/sky/clouds/service_catalog/oci_catalog.py b/sky/clouds/service_catalog/oci_catalog.py index c8e475df871..b93e9d622e1 100644 --- a/sky/clouds/service_catalog/oci_catalog.py +++ b/sky/clouds/service_catalog/oci_catalog.py @@ -66,7 +66,7 @@ def _get_df() -> 'pd.DataFrame': logger.debug(f'It is OK goes here when testing: {str(e)}') subscribed_regions = [] - except oci_adaptor.service_exception() as e: + except oci_adaptor.oci.exceptions.ServiceError as e: # Should never expect going here. However, we still catch # it so that if any OCI call failed, the program can still # proceed with try-and-error way. diff --git a/sky/clouds/utils/oci_utils.py b/sky/clouds/utils/oci_utils.py index 86647071f3e..9398dff1363 100644 --- a/sky/clouds/utils/oci_utils.py +++ b/sky/clouds/utils/oci_utils.py @@ -5,13 +5,14 @@ - Hysun He (hysun.he@oracle.com) @ Oct, 2024: Add default image OS configuration. """ -import logging import os +from sky import sky_logging from sky import skypilot_config +from sky import status_lib from sky.utils import resources_utils -logger = logging.getLogger(__name__) +logger = sky_logging.init_logger(__name__) class OCIConfig: @@ -77,6 +78,19 @@ class OCIConfig: resources_utils.DiskTier.HIGH: DISK_TIER_HIGH, } + # Oracle instance's lifecycle state to sky state mapping. + # For Oracle VM instance's lifecyle state, please refer to the link: + # https://docs.oracle.com/en-us/iaas/api/#/en/iaas/latest/Instance/ + STATE_MAPPING_OCI_TO_SKY = { + 'PROVISIONING': status_lib.ClusterStatus.INIT, + 'STARTING': status_lib.ClusterStatus.INIT, + 'RUNNING': status_lib.ClusterStatus.UP, + 'STOPPING': status_lib.ClusterStatus.STOPPED, + 'STOPPED': status_lib.ClusterStatus.STOPPED, + 'TERMINATED': None, + 'TERMINATING': None, + } + @classmethod def get_compartment(cls, region): # Allow task(cluster)-specific compartment/VCN parameters. diff --git a/sky/provision/__init__.py b/sky/provision/__init__.py index bbe92b68c3a..76f93d536d0 100644 --- a/sky/provision/__init__.py +++ b/sky/provision/__init__.py @@ -20,6 +20,7 @@ from sky.provision import gcp from sky.provision import kubernetes from sky.provision import lambda_cloud +from sky.provision import oci from sky.provision import runpod from sky.provision import vsphere from sky.utils import command_runner diff --git a/sky/provision/oci/__init__.py b/sky/provision/oci/__init__.py new file mode 100644 index 00000000000..eb9128cc04c --- /dev/null +++ b/sky/provision/oci/__init__.py @@ -0,0 +1,15 @@ +"""OCI provisioner for SkyPilot. + +History: + - Hysun He (hysun.he@oracle.com) @ Oct.16, 2024: Initial implementation +""" + +from sky.provision.oci.config import bootstrap_instances +from sky.provision.oci.instance import cleanup_ports +from sky.provision.oci.instance import get_cluster_info +from sky.provision.oci.instance import open_ports +from sky.provision.oci.instance import query_instances +from sky.provision.oci.instance import run_instances +from sky.provision.oci.instance import stop_instances +from sky.provision.oci.instance import terminate_instances +from sky.provision.oci.instance import wait_instances diff --git a/sky/provision/oci/config.py b/sky/provision/oci/config.py new file mode 100644 index 00000000000..e688bf12443 --- /dev/null +++ b/sky/provision/oci/config.py @@ -0,0 +1,51 @@ +"""OCI configuration bootstrapping. + +Creates the resource group and deploys the configuration template to OCI for +a cluster to be launched. + +History: + - Hysun He (hysun.he@oracle.com) @ Oct.16, 2024: Initial implementation +""" + +from sky import exceptions +from sky import sky_logging +from sky.adaptors import oci as oci_adaptor +from sky.clouds.utils import oci_utils +from sky.provision import common +from sky.provision.oci.query_utils import query_helper + +logger = sky_logging.init_logger(__name__) + + +@common.log_function_start_end +def bootstrap_instances( + region: str, cluster_name_on_cloud: str, + config: common.ProvisionConfig) -> common.ProvisionConfig: + """See sky/provision/__init__.py""" + # OCI module import and oci client + oci_adaptor.get_core_client(region, oci_utils.oci_config.get_profile()) + + # Find / create a compartment for creating instances. + compartment = query_helper.find_compartment(region) + + # Find the configured VCN, or create a new one. + vcn = query_helper.find_create_vcn_subnet(region) + if vcn is None: + # pylint: disable=line-too-long + raise exceptions.ResourcesUnavailableError( + 'Failed to create a new VCN, possibly you hit the resource limitation.' + ) + + node_config = config.node_config + + # Subscribe the image if it is from Marketplace listing. + query_helper.subscribe_image( + compartment_id=compartment, + listing_id=node_config['AppCatalogListingId'], + resource_version=node_config['ResourceVersion'], + region=region, + ) + + logger.info(f'Using cluster name: {cluster_name_on_cloud}') + + return config diff --git a/sky/provision/oci/instance.py b/sky/provision/oci/instance.py new file mode 100644 index 00000000000..e909c9d8fdc --- /dev/null +++ b/sky/provision/oci/instance.py @@ -0,0 +1,430 @@ +"""OCI instance provisioning. + +History: + - Hysun He (hysun.he@oracle.com) @ Oct.16, 2024: Initial implementation +""" + +import copy +from datetime import datetime +import time +from typing import Any, Dict, List, Optional + +from sky import exceptions +from sky import sky_logging +from sky import status_lib +from sky.adaptors import oci as oci_adaptor +from sky.clouds.utils import oci_utils +from sky.provision import common +from sky.provision import constants +from sky.provision.oci import query_utils +from sky.provision.oci.query_utils import query_helper +from sky.utils import common_utils +from sky.utils import ux_utils + +logger = sky_logging.init_logger(__name__) + + +@query_utils.debug_enabled(logger) +@common_utils.retry +def query_instances( + cluster_name_on_cloud: str, + provider_config: Optional[Dict[str, Any]] = None, + non_terminated_only: bool = True, +) -> Dict[str, Optional[status_lib.ClusterStatus]]: + """Query instances. + + Returns a dictionary of instance IDs and status. + + A None status means the instance is marked as "terminated" + or "terminating". + """ + assert provider_config is not None, cluster_name_on_cloud + region = provider_config['region'] + + status_map = oci_utils.oci_config.STATE_MAPPING_OCI_TO_SKY + statuses: Dict[str, Optional[status_lib.ClusterStatus]] = {} + filters = {constants.TAG_RAY_CLUSTER_NAME: cluster_name_on_cloud} + + instances = _get_filtered_nodes(region, filters) + for node in instances: + vm_status = node['status'] + sky_status = status_map[vm_status] + if non_terminated_only and sky_status is None: + continue + statuses[node['inst_id']] = sky_status + + return statuses + + +@query_utils.debug_enabled(logger) +def run_instances(region: str, cluster_name_on_cloud: str, + config: common.ProvisionConfig) -> common.ProvisionRecord: + """Start instances with bootstrapped configuration.""" + tags = dict(sorted(copy.deepcopy(config.tags).items())) + + start_time = round(time.time() * 1000) + filters = {constants.TAG_RAY_CLUSTER_NAME: cluster_name_on_cloud} + + # Starting stopped nodes if resume_stopped_nodes=True + resume_instances = [] + if config.resume_stopped_nodes: + logger.debug('Checking existing stopped nodes.') + + existing_instances = _get_filtered_nodes(region, filters) + if len(existing_instances) > config.count: + raise RuntimeError( + 'The number of pending/running/stopped/stopping ' + f'instances combined ({len(existing_instances)}) in ' + f'cluster "{cluster_name_on_cloud}" is greater than the ' + f'number requested by the user ({config.count}). ' + 'This is likely a resource leak. ' + 'Use "sky down" to terminate the cluster.') + + # pylint: disable=line-too-long + logger.debug( + f'run_instances: Found {[inst["name"] for inst in existing_instances]} ' + 'existing instances in cluster.') + existing_instances.sort(key=lambda x: x['name']) + + stopped_instances = [] + for existing_node in existing_instances: + if existing_node['status'] == 'STOPPING': + query_helper.wait_instance_until_status( + region, existing_node['inst_id'], 'STOPPED') + stopped_instances.append(existing_node) + elif existing_node['status'] == 'STOPPED': + stopped_instances.append(existing_node) + elif existing_node['status'] in ('PROVISIONING', 'STARTING', + 'RUNNING'): + resume_instances.append(existing_node) + + for stopped_node in stopped_instances: + stopped_node_id = stopped_node['inst_id'] + instance_action_response = query_helper.start_instance( + region, stopped_node_id) + + starting_inst = instance_action_response.data + resume_instances.append({ + 'inst_id': starting_inst.id, + 'name': starting_inst.display_name, + 'ad': starting_inst.availability_domain, + 'compartment': starting_inst.compartment_id, + 'status': starting_inst.lifecycle_state, + 'oci_tags': starting_inst.freeform_tags, + }) + # end if config.resume_stopped_nodes + + # Try get head id from the existing instances + head_instance_id = _get_head_instance_id(resume_instances) + logger.debug(f'Check existing head node: {head_instance_id}') + + # Let's create additional new nodes (if neccessary) + to_start_count = config.count - len(resume_instances) + created_instances = [] + if to_start_count > 0: + node_config = config.node_config + compartment = query_helper.find_compartment(region) + vcn = query_helper.find_create_vcn_subnet(region) + + ocpu_count = 0 + vcpu_str = node_config['VCPUs'] + instance_type_str = node_config['InstanceType'] + + if vcpu_str is not None and vcpu_str != 'None': + if instance_type_str.startswith( + f'{oci_utils.oci_config.VM_PREFIX}.A'): + # For ARM cpu, 1*ocpu = 1*vcpu + ocpu_count = round(float(vcpu_str)) + else: + # For Intel / AMD cpu, 1*ocpu = 2*vcpu + ocpu_count = round(float(vcpu_str) / 2) + ocpu_count = 1 if (ocpu_count > 0 and ocpu_count < 1) else ocpu_count + + machine_shape_config = None + if ocpu_count > 0: + mem = node_config['MemoryInGbs'] + if mem is not None and mem != 'None': + # pylint: disable=line-too-long + machine_shape_config = oci_adaptor.oci.core.models.LaunchInstanceShapeConfigDetails( + ocpus=ocpu_count, memory_in_gbs=mem) + else: + # pylint: disable=line-too-long + machine_shape_config = oci_adaptor.oci.core.models.LaunchInstanceShapeConfigDetails( + ocpus=ocpu_count) + + preempitible_config = ( + oci_adaptor.oci.core.models.PreemptibleInstanceConfigDetails( + preemption_action=oci_adaptor.oci.core.models. + TerminatePreemptionAction(type='TERMINATE', + preserve_boot_volume=False)) + if node_config['Preemptible'] else None) + + batch_id = datetime.now().strftime('%Y%m%d%H%M%S') + + vm_tags_head = { + **tags, + **constants.HEAD_NODE_TAGS, + constants.TAG_RAY_CLUSTER_NAME: cluster_name_on_cloud, + 'sky_spot_flag': str(node_config['Preemptible']).lower(), + } + vm_tags_worker = { + **tags, + **constants.WORKER_NODE_TAGS, + constants.TAG_RAY_CLUSTER_NAME: cluster_name_on_cloud, + 'sky_spot_flag': str(node_config['Preemptible']).lower(), + } + + for seq in range(1, to_start_count + 1): + if head_instance_id is None: + vm_tags = vm_tags_head + node_type = constants.HEAD_NODE_TAGS[ + constants.TAG_RAY_NODE_KIND] + else: + vm_tags = vm_tags_worker + node_type = constants.WORKER_NODE_TAGS[ + constants.TAG_RAY_NODE_KIND] + + launch_instance_response = query_helper.launch_instance( + region, + oci_adaptor.oci.core.models.LaunchInstanceDetails( + availability_domain=node_config['AvailabilityDomain'], + compartment_id=compartment, + shape=instance_type_str, + display_name= + f'{cluster_name_on_cloud}_{node_type}_{batch_id}_{seq}', + freeform_tags=vm_tags, + metadata={ + 'ssh_authorized_keys': node_config['AuthorizedKey'] + }, + source_details=oci_adaptor.oci.core.models. + InstanceSourceViaImageDetails( + source_type='image', + image_id=node_config['ImageId'], + boot_volume_size_in_gbs=node_config['BootVolumeSize'], + boot_volume_vpus_per_gb=int( + node_config['BootVolumePerf']), + ), + create_vnic_details=oci_adaptor.oci.core.models. + CreateVnicDetails( + assign_public_ip=True, + subnet_id=vcn, + ), + shape_config=machine_shape_config, + preemptible_instance_config=preempitible_config, + )) + + new_inst = launch_instance_response.data + if head_instance_id is None: + head_instance_id = new_inst.id + logger.debug(f'New head node: {head_instance_id}') + + created_instances.append({ + 'inst_id': new_inst.id, + 'name': new_inst.display_name, + 'ad': new_inst.availability_domain, + 'compartment': new_inst.compartment_id, + 'status': new_inst.lifecycle_state, + 'oci_tags': new_inst.freeform_tags, + }) + # end for loop + # end if to_start_count > 0:... + + for inst in (resume_instances + created_instances): + logger.debug(f'Provisioning for node {inst["name"]}') + query_helper.wait_instance_until_status(region, inst['inst_id'], + 'RUNNING') + logger.debug(f'Instance {inst["name"]} is RUNNING.') + + total_time = round(time.time() * 1000) - start_time + logger.debug('Total time elapsed: {0} milli-seconds.'.format(total_time)) + + assert head_instance_id is not None, head_instance_id + + return common.ProvisionRecord( + provider_name='oci', + region=region, + zone=None, + cluster_name=cluster_name_on_cloud, + head_instance_id=head_instance_id, + created_instance_ids=[n['inst_id'] for n in created_instances], + resumed_instance_ids=[n['inst_id'] for n in resume_instances], + ) + + +@query_utils.debug_enabled(logger) +def stop_instances( + cluster_name_on_cloud: str, + provider_config: Dict[str, Any], + worker_only: bool = False, +) -> None: + """Stop running instances.""" + # pylint: disable=line-too-long + assert provider_config is not None, (cluster_name_on_cloud, provider_config) + + region = provider_config['region'] + tag_filters = {constants.TAG_RAY_CLUSTER_NAME: cluster_name_on_cloud} + if worker_only: + tag_filters[constants.TAG_RAY_NODE_KIND] = 'worker' + + nodes = _get_filtered_nodes(region, tag_filters) + for node in nodes: + query_helper.stop_instance(region, node['inst_id']) + + +@query_utils.debug_enabled(logger) +def terminate_instances( + cluster_name_on_cloud: str, + provider_config: Dict[str, Any], + worker_only: bool = False, +) -> None: + """Terminate running or stopped instances.""" + region = provider_config['region'] + tag_filters = {constants.TAG_RAY_CLUSTER_NAME: cluster_name_on_cloud} + if worker_only: + tag_filters[constants.TAG_RAY_NODE_KIND] = 'worker' + query_helper.terminate_instances_by_tags(tag_filters, region) + + +@query_utils.debug_enabled(logger) +def open_ports( + cluster_name_on_cloud: str, + ports: List[str], + provider_config: Optional[Dict[str, Any]] = None, +) -> None: + """Open ports for inbound traffic.""" + # OCI ports in security groups are opened while creating the new + # VCN (skypilot_vcn). If user configure to use existing VCN, it is + # intended to let user to manage the ports instead of automatically + # opening ports here. + del cluster_name_on_cloud, ports, provider_config + + +@query_utils.debug_enabled(logger) +def cleanup_ports( + cluster_name_on_cloud: str, + ports: List[str], + provider_config: Optional[Dict[str, Any]] = None, +) -> None: + """Delete any opened ports.""" + del cluster_name_on_cloud, ports, provider_config + # OCI ports in security groups are opened while creating the new + # VCN (skypilot_vcn). The VCN will only be created at the first + # time when it is not existed. We'll not automatically delete the + # VCN while teardown clusters. it is intended to let user to decide + # to delete the VCN or not from OCI console, for example. + + +@query_utils.debug_enabled(logger) +def wait_instances(region: str, cluster_name_on_cloud: str, + state: Optional[status_lib.ClusterStatus]) -> None: + del region, cluster_name_on_cloud, state + # We already wait for the instances to be running in run_instances. + # We can not implement the wait logic here because the provisioning + # instances are not retrieveable by the QL 'query instance resources ...'. + + +@query_utils.debug_enabled(logger) +def get_cluster_info( + region: str, + cluster_name_on_cloud: str, + provider_config: Optional[Dict[str, Any]] = None, +) -> common.ClusterInfo: + """Get the metadata of instances in a cluster.""" + filters = {constants.TAG_RAY_CLUSTER_NAME: cluster_name_on_cloud} + running_instances = _get_filtered_nodes(region, filters) + + instances = {} + for running_instance in running_instances: + inst = _get_inst_obj_with_ip(region, running_instance) + instances[inst['id']] = [ + common.InstanceInfo( + instance_id=inst['id'], + internal_ip=inst['internal_ip'], + external_ip=inst['external_ip'], + tags=inst['tags'], + ) + ] + + instances = dict(sorted(instances.items(), key=lambda x: x[0])) + logger.debug(f'Cluster info: {instances}') + + head_instance_id = _get_head_instance_id(running_instances) + logger.debug(f'Head instance id is {head_instance_id}') + + return common.ClusterInfo( + provider_name='oci', + head_instance_id=head_instance_id, + instances=instances, + provider_config=provider_config, + ) + + +def _get_filtered_nodes(region: str, + tag_filters: Dict[str, str]) -> List[Dict[str, Any]]: + return_nodes = [] + + try: + insts = query_helper.query_instances_by_tags(tag_filters, region) + except oci_adaptor.oci.exceptions.ServiceError as e: + with ux_utils.print_exception_no_traceback(): + raise exceptions.ClusterStatusFetchingError( + f'Failed to query status for OCI cluster {tag_filters}.' + 'Details: ' + f'{common_utils.format_exception(e, use_bracket=True)}') + + for inst in insts: + inst_id = inst.identifier + return_nodes.append({ + 'inst_id': inst_id, + 'name': inst.display_name, + 'ad': inst.availability_domain, + 'compartment': inst.compartment_id, + 'status': inst.lifecycle_state, + 'oci_tags': inst.freeform_tags, + }) + + return return_nodes + + +def _get_inst_obj_with_ip(region: str, inst_info: Dict[str, + Any]) -> Dict[str, Any]: + get_vnic_response = query_helper.get_instance_primary_vnic( + region, inst_info) + internal_ip = get_vnic_response.private_ip + external_ip = get_vnic_response.public_ip + if external_ip is None: + external_ip = internal_ip + + return { + 'id': inst_info['inst_id'], + 'name': inst_info['name'], + 'external_ip': external_ip, + 'internal_ip': internal_ip, + 'tags': inst_info['oci_tags'], + 'status': inst_info['status'], + } + + +def _get_head_instance_id(instances: List[Dict[str, Any]]) -> Optional[str]: + head_instance_id = None + head_node_tags = tuple(constants.HEAD_NODE_TAGS.items()) + for inst in instances: + is_matched = True + for k, v in head_node_tags: + if (k, v) not in inst['oci_tags'].items(): + is_matched = False + break + if is_matched: + if head_instance_id is not None: + logger.warning( + 'There are multiple head nodes in the cluster ' + f'(current head instance id: {head_instance_id}, ' + f'newly discovered id: {inst["inst_id"]}. It is likely ' + f'that something goes wrong.') + # Don't break here so that we can continue to check and + # warn user about duplicate head instance issue so that + # user can take further action on the abnormal cluster. + + head_instance_id = inst['inst_id'] + + return head_instance_id diff --git a/sky/skylet/providers/oci/query_helper.py b/sky/provision/oci/query_utils.py similarity index 70% rename from sky/skylet/providers/oci/query_helper.py rename to sky/provision/oci/query_utils.py index 8bbaab62b7f..2fbbaf49853 100644 --- a/sky/skylet/providers/oci/query_helper.py +++ b/sky/provision/oci/query_utils.py @@ -1,56 +1,75 @@ -""" -Helper class for some OCI operations methods which needs to be shared/called -by multiple places. +"""OCI query helper class History: - - Hysun He (hysun.he@oracle.com) @ Apr, 2023: Initial implementation - + - Hysun He (hysun.he@oracle.com) @ Oct.16, 2024: Code here mainly + migrated from the old provisioning API. + - Hysun He (hysun.he@oracle.com) @ Oct.18, 2024: Enhancement. + find_compartment: allow search subtree when find a compartment. """ - from datetime import datetime -import logging +import functools +from logging import Logger import re import time import traceback import typing from typing import Optional +from sky import sky_logging from sky.adaptors import common as adaptors_common from sky.adaptors import oci as oci_adaptor from sky.clouds.utils import oci_utils -from sky.skylet.providers.oci import utils if typing.TYPE_CHECKING: import pandas as pd else: pd = adaptors_common.LazyImport('pandas') -logger = logging.getLogger(__name__) +logger = sky_logging.init_logger(__name__) + + +def debug_enabled(log: Logger): + + def decorate(f): + + @functools.wraps(f) + def wrapper(*args, **kwargs): + dt_str = datetime.now().strftime('%Y-%m-%d %H:%M:%S') + log.debug(f'{dt_str} Enter {f}, {args}, {kwargs}') + try: + return f(*args, **kwargs) + finally: + log.debug(f'{dt_str} Exit {f}') + + return wrapper + return decorate -class oci_query_helper: +class QueryHelper: + """Helper class for some OCI operations + """ # Call Cloud API to try getting the satisfied nodes. @classmethod - @utils.debug_enabled(logger=logger) + @debug_enabled(logger) def query_instances_by_tags(cls, tag_filters, region): - where_clause_tags = "" + where_clause_tags = '' for tag_key in tag_filters: - if where_clause_tags != "": - where_clause_tags += " && " + if where_clause_tags != '': + where_clause_tags += ' && ' tag_value = tag_filters[tag_key] - where_clause_tags += (f"(freeformTags.key = '{tag_key}'" - f" && freeformTags.value = '{tag_value}')") + where_clause_tags += (f'(freeformTags.key = \'{tag_key}\'' + f' && freeformTags.value = \'{tag_value}\')') - qv_str = (f"query instance resources where {where_clause_tags}" - f" && (lifecycleState != 'TERMINATED'" - f" && lifecycleState != 'TERMINATING')") + qv_str = (f'query instance resources where {where_clause_tags}' + f' && (lifecycleState != \'TERMINATED\'' + f' && lifecycleState != \'TERMINATING\')') qv = oci_adaptor.oci.resource_search.models.StructuredSearchDetails( query=qv_str, - type="Structured", + type='Structured', matching_context_type=oci_adaptor.oci.resource_search.models. SearchDetails.MATCHING_CONTEXT_TYPE_NONE, ) @@ -63,44 +82,98 @@ def query_instances_by_tags(cls, tag_filters, region): @classmethod def terminate_instances_by_tags(cls, tag_filters, region) -> int: - logger.debug(f"Terminate instance by tags: {tag_filters}") + logger.debug(f'Terminate instance by tags: {tag_filters}') insts = cls.query_instances_by_tags(tag_filters, region) fail_count = 0 for inst in insts: inst_id = inst.identifier - logger.debug(f"Got instance(to be terminated): {inst_id}") + logger.debug(f'Got instance(to be terminated): {inst_id}') try: oci_adaptor.get_core_client( region, oci_utils.oci_config.get_profile()).terminate_instance( inst_id) - except Exception as e: + except oci_adaptor.oci.exceptions.ServiceError as e: fail_count += 1 - logger.error(f"Terminate instance failed: {str(e)}\n: {inst}") + logger.error(f'Terminate instance failed: {str(e)}\n: {inst}') traceback.print_exc() if fail_count == 0: - logger.debug(f"Instance teardown result: OK") + logger.debug('Instance teardown result: OK') else: - logger.warn(f"Instance teardown result: {fail_count} failed!") + logger.warning(f'Instance teardown result: {fail_count} failed!') return fail_count @classmethod - @utils.debug_enabled(logger=logger) + @debug_enabled(logger) + def launch_instance(cls, region, launch_config): + """ To create a new instance """ + return oci_adaptor.get_core_client( + region, oci_utils.oci_config.get_profile()).launch_instance( + launch_instance_details=launch_config) + + @classmethod + @debug_enabled(logger) + def start_instance(cls, region, instance_id): + """ To start an existing instance """ + return oci_adaptor.get_core_client( + region, oci_utils.oci_config.get_profile()).instance_action( + instance_id=instance_id, action='START') + + @classmethod + @debug_enabled(logger) + def stop_instance(cls, region, instance_id): + """ To stop an instance """ + return oci_adaptor.get_core_client( + region, oci_utils.oci_config.get_profile()).instance_action( + instance_id=instance_id, action='STOP') + + @classmethod + @debug_enabled(logger) + def wait_instance_until_status(cls, region, node_id, status): + """ To wait a instance becoming the specified state """ + compute_client = oci_adaptor.get_core_client( + region, oci_utils.oci_config.get_profile()) + + resp = compute_client.get_instance(instance_id=node_id) + + oci_adaptor.oci.wait_until( + compute_client, + resp, + 'lifecycle_state', + status, + ) + + @classmethod + def get_instance_primary_vnic(cls, region, inst_info): + """ Get the primary vnic infomation of the instance """ + list_vnic_attachments_response = oci_adaptor.get_core_client( + region, oci_utils.oci_config.get_profile()).list_vnic_attachments( + availability_domain=inst_info['ad'], + compartment_id=inst_info['compartment'], + instance_id=inst_info['inst_id'], + ) + vnic = list_vnic_attachments_response.data[0] + return oci_adaptor.get_net_client( + region, oci_utils.oci_config.get_profile()).get_vnic( + vnic_id=vnic.vnic_id).data + + @classmethod + @debug_enabled(logger) def subscribe_image(cls, compartment_id, listing_id, resource_version, region): - if (pd.isna(listing_id) or listing_id.strip() == "None" or - listing_id.strip() == "nan"): + if (pd.isna(listing_id) or listing_id.strip() == 'None' or + listing_id.strip() == 'nan'): return core_client = oci_adaptor.get_core_client( region, oci_utils.oci_config.get_profile()) try: - agreements_response = core_client.get_app_catalog_listing_agreements( + agreements_resp = core_client.get_app_catalog_listing_agreements( listing_id=listing_id, resource_version=resource_version) - agreements = agreements_response.data + agreements = agreements_resp.data core_client.create_app_catalog_subscription( create_app_catalog_subscription_details=oci_adaptor.oci.core. @@ -113,24 +186,24 @@ def subscribe_image(cls, compartment_id, listing_id, resource_version, oracle_terms_of_use_link, time_retrieved=datetime.strptime( re.sub( - "\d{3}\+\d{2}\:\d{2}", - "Z", + r'\d{3}\+\d{2}\:\d{2}', + 'Z', str(agreements.time_retrieved), 0, ), - "%Y-%m-%d %H:%M:%S.%fZ", + '%Y-%m-%d %H:%M:%S.%fZ', ), signature=agreements.signature, eula_link=agreements.eula_link, )) - except Exception as e: + except oci_adaptor.oci.exceptions.ServiceError as e: logger.critical( - f"subscribe_image: {listing_id} - {resource_version} ... [Failed]" - f"Error message: {str(e)}") - raise RuntimeError("ERR: Image subscription error!") + f'[Failed] subscribe_image: {listing_id} - {resource_version}' + f'Error message: {str(e)}') + raise RuntimeError('ERR: Image subscription error!') from e @classmethod - @utils.debug_enabled(logger=logger) + @debug_enabled(logger) def find_compartment(cls, region) -> str: """ If compartment is not configured, we use root compartment """ # Try to use the configured one first @@ -143,12 +216,18 @@ def find_compartment(cls, region) -> str: # config file is supported (2023/06/09). root = oci_adaptor.get_oci_config( region, oci_utils.oci_config.get_profile())['tenancy'] + list_compartments_response = oci_adaptor.get_identity_client( region, oci_utils.oci_config.get_profile()).list_compartments( compartment_id=root, name=oci_utils.oci_config.COMPARTMENT, + compartment_id_in_subtree=True, + access_level='ACCESSIBLE', lifecycle_state='ACTIVE', + sort_by='TIMECREATED', + sort_order='DESC', limit=1) + compartments = list_compartments_response.data if len(compartments) > 0: skypilot_compartment = compartments[0].id @@ -159,7 +238,7 @@ def find_compartment(cls, region) -> str: return skypilot_compartment @classmethod - @utils.debug_enabled(logger=logger) + @debug_enabled(logger) def find_create_vcn_subnet(cls, region) -> Optional[str]: """ If sub is not configured, we find/create VCN skypilot_vcn """ subnet = oci_utils.oci_config.get_vcn_subnet(region) @@ -174,7 +253,7 @@ def find_create_vcn_subnet(cls, region) -> Optional[str]: list_vcns_response = net_client.list_vcns( compartment_id=skypilot_compartment, display_name=oci_utils.oci_config.VCN_NAME, - lifecycle_state="AVAILABLE") + lifecycle_state='AVAILABLE') vcns = list_vcns_response.data if len(vcns) > 0: # Found the VCN. @@ -184,7 +263,7 @@ def find_create_vcn_subnet(cls, region) -> Optional[str]: limit=1, vcn_id=skypilot_vcn, display_name=oci_utils.oci_config.VCN_SUBNET_NAME, - lifecycle_state="AVAILABLE") + lifecycle_state='AVAILABLE') logger.debug(f'Got VCN subnet \n{list_subnets_response.data}') if len(list_subnets_response.data) < 1: logger.error( @@ -201,10 +280,17 @@ def find_create_vcn_subnet(cls, region) -> Optional[str]: return cls.create_vcn_subnet(net_client, skypilot_compartment) @classmethod - @utils.debug_enabled(logger=logger) + @debug_enabled(logger) def create_vcn_subnet(cls, net_client, skypilot_compartment) -> Optional[str]: + + skypilot_vcn = None # VCN for the resources + subnet = None # Subnet for the VMs + ig = None # Internet gateway + sg = None # Service gateway + try: + # pylint: disable=line-too-long create_vcn_response = net_client.create_vcn( create_vcn_details=oci_adaptor.oci.core.models.CreateVcnDetails( compartment_id=skypilot_compartment, @@ -274,38 +360,38 @@ def create_vcn_subnet(cls, net_client, update_security_list_details=oci_adaptor.oci.core.models. UpdateSecurityListDetails(ingress_security_rules=[ oci_adaptor.oci.core.models.IngressSecurityRule( - protocol="6", + protocol='6', source=oci_utils.oci_config.VCN_CIDR_INTERNET, is_stateless=False, - source_type="CIDR_BLOCK", + source_type='CIDR_BLOCK', tcp_options=oci_adaptor.oci.core.models.TcpOptions( destination_port_range=oci_adaptor.oci.core.models. PortRange(max=22, min=22), source_port_range=oci_adaptor.oci.core.models. PortRange(max=65535, min=1)), - description="Allow SSH port."), + description='Allow SSH port.'), oci_adaptor.oci.core.models.IngressSecurityRule( - protocol="all", + protocol='all', source=oci_utils.oci_config.VCN_SUBNET_CIDR, is_stateless=False, - source_type="CIDR_BLOCK", - description="Allow all traffic from/to same subnet."), + source_type='CIDR_BLOCK', + description='Allow all traffic from/to same subnet.'), oci_adaptor.oci.core.models.IngressSecurityRule( - protocol="1", + protocol='1', source=oci_utils.oci_config.VCN_CIDR_INTERNET, is_stateless=False, - source_type="CIDR_BLOCK", + source_type='CIDR_BLOCK', icmp_options=oci_adaptor.oci.core.models.IcmpOptions( type=3, code=4), - description="ICMP traffic."), + description='ICMP traffic.'), oci_adaptor.oci.core.models.IngressSecurityRule( - protocol="1", + protocol='1', source=oci_utils.oci_config.VCN_CIDR, is_stateless=False, - source_type="CIDR_BLOCK", + source_type='CIDR_BLOCK', icmp_options=oci_adaptor.oci.core.models.IcmpOptions( type=3), - description="ICMP traffic (VCN)."), + description='ICMP traffic (VCN).'), ])) logger.debug( f'Updated security_list: \n{update_security_list_response.data}' @@ -325,7 +411,7 @@ def create_vcn_subnet(cls, net_client, ])) logger.debug(f'Route table: \n{update_route_table_response.data}') - except oci_adaptor.service_exception() as e: + except oci_adaptor.oci.exceptions.ServiceError as e: logger.error(f'Create VCN Error: Create new VCN ' f'{oci_utils.oci_config.VCN_NAME} failed: {str(e)}') # In case of partial success while creating vcn @@ -335,7 +421,7 @@ def create_vcn_subnet(cls, net_client, return subnet @classmethod - @utils.debug_enabled(logger=logger) + @debug_enabled(logger) def delete_vcn(cls, net_client, skypilot_vcn, skypilot_subnet, internet_gateway, service_gateway): if skypilot_vcn is None: @@ -369,7 +455,7 @@ def delete_vcn(cls, net_client, skypilot_vcn, skypilot_subnet, f'Deleted vcn {skypilot_vcn}-{delete_vcn_response.data}' ) break - except oci_adaptor.service_exception() as e: + except oci_adaptor.oci.exceptions.ServiceError as e: logger.info(f'Waiting del SG/IG/Subnet finish: {str(e)}') retry_count = retry_count + 1 if retry_count == oci_utils.oci_config.MAX_RETRY_COUNT: @@ -378,6 +464,9 @@ def delete_vcn(cls, net_client, skypilot_vcn, skypilot_subnet, time.sleep( oci_utils.oci_config.RETRY_INTERVAL_BASE_SECONDS) - except oci_adaptor.service_exception() as e: + except oci_adaptor.oci.exceptions.ServiceError as e: logger.error( f'Delete VCN {oci_utils.oci_config.VCN_NAME} Error: {str(e)}') + + +query_helper = QueryHelper() diff --git a/sky/setup_files/MANIFEST.in b/sky/setup_files/MANIFEST.in index 0cd93f485e0..ea5ceb50cfb 100644 --- a/sky/setup_files/MANIFEST.in +++ b/sky/setup_files/MANIFEST.in @@ -6,7 +6,6 @@ include sky/setup_files/* include sky/skylet/*.sh include sky/skylet/LICENSE include sky/skylet/providers/ibm/* -include sky/skylet/providers/oci/* include sky/skylet/providers/scp/* include sky/skylet/providers/*.py include sky/skylet/ray_patches/*.patch diff --git a/sky/skylet/providers/oci/__init__.py b/sky/skylet/providers/oci/__init__.py deleted file mode 100644 index f7c3aa255ae..00000000000 --- a/sky/skylet/providers/oci/__init__.py +++ /dev/null @@ -1,2 +0,0 @@ -"""OCI node provider""" -from sky.skylet.providers.oci.node_provider import OCINodeProvider diff --git a/sky/skylet/providers/oci/node_provider.py b/sky/skylet/providers/oci/node_provider.py deleted file mode 100644 index 35d4304582b..00000000000 --- a/sky/skylet/providers/oci/node_provider.py +++ /dev/null @@ -1,488 +0,0 @@ -"""OCI Node Provider. - -Node provider is called by the Ray Autoscaler to provision new compute -resources (head / worker nodes). - -To show debug messages, export SKYPILOT_DEBUG=1 - -History: - - Hysun He (hysun.he@oracle.com) @ Apr, 2023: Initial implementation - -""" - -import copy -from datetime import datetime -import logging -import threading -import time - -from ray.autoscaler.node_provider import NodeProvider -from ray.autoscaler.tags import TAG_RAY_CLUSTER_NAME -from ray.autoscaler.tags import TAG_RAY_LAUNCH_CONFIG -from ray.autoscaler.tags import TAG_RAY_NODE_KIND -from ray.autoscaler.tags import TAG_RAY_USER_NODE_TYPE - -from sky.adaptors import oci as oci_adaptor -from sky.clouds.utils import oci_utils -from sky.skylet.providers.oci import utils -from sky.skylet.providers.oci.query_helper import oci_query_helper - -logger = logging.getLogger(__name__) - - -def synchronized(f): - - def wrapper(self, *args, **kwargs): - self.lock.acquire() - try: - return f(self, *args, **kwargs) - finally: - self.lock.release() - - return wrapper - - -class OCINodeProvider(NodeProvider): - """Node Provider for OracleCloud (OCI).""" - - def __init__(self, provider_config, cluster_name): - NodeProvider.__init__(self, provider_config, cluster_name) - self.lock = threading.RLock() - self.cached_nodes = {} - self.cache_stopped_nodes = provider_config.get("cache_stopped_nodes", - True) - self.region = provider_config["region"] - - # Do a read-ahead cache loading to improve performance. - self._get_filtered_nodes({}) - - @synchronized - def _get_filtered_nodes(self, tag_filters, force=False): - # Make sure the cluster_name is always an criterion - tag_filters = {**tag_filters, TAG_RAY_CLUSTER_NAME: self.cluster_name} - - return_nodes = {} - if not force: - # Query cache first to reduce API call. - cache_hit = False - for k, node in self.cached_nodes.items(): - tags = node["tags"] - unmatched_tags = [ - k for k, v in tag_filters.items() - if k not in tags or v != tags[k] - ] - if len(unmatched_tags) == 0: - return_nodes[k] = node - cache_hit |= True - - if cache_hit: - return return_nodes - - insts = oci_query_helper.query_instances_by_tags( - tag_filters, self.region) - for inst in insts: - inst_id = inst.identifier - if inst_id in self.cached_nodes: - del self.cached_nodes[inst_id] - - item = self.get_inst_obj({ - "inst_id": inst_id, - "ad": inst.availability_domain, - "compartment": inst.compartment_id, - "lifecycle_state": inst.lifecycle_state, - "oci_tags": inst.freeform_tags, - }) - return_nodes[inst_id] = item - self.cached_nodes[inst_id] = item - - return return_nodes - - @utils.debug_enabled(logger=logger) - def non_terminated_nodes(self, tag_filters): - """Return a list of node ids filtered by the specified tags dict. - - This list must not include terminated nodes. For performance reasons, - providers are allowed to cache the result of a call to - non_terminated_nodes() to serve single-node queries - (e.g. is_running(node_id)). This means that non_terminated_nodes() - must be called again to refresh results. - """ - VALIDITY_TAGS = [ - TAG_RAY_CLUSTER_NAME, - TAG_RAY_NODE_KIND, - TAG_RAY_USER_NODE_TYPE, - TAG_RAY_LAUNCH_CONFIG, - ] - filters = { - tag: tag_filters[tag] for tag in VALIDITY_TAGS if tag in tag_filters - } - - nodes = self._get_filtered_nodes(tag_filters=filters) - return [k for k, v in nodes.items() if v["status"] == "RUNNING"] - - @utils.debug_enabled(logger=logger) - def is_running(self, node_id): - """Return whether the specified node is running.""" - node = self._get_cached_node(node_id=node_id) - check_result = node is None or node["status"] == "RUNNING" - - return check_result - - @utils.debug_enabled(logger=logger) - def is_terminated(self, node_id): - """Return whether the specified node is terminated.""" - node = self._get_cached_node(node_id=node_id) - check_result = ((node is None) or (node["status"] == "TERMINATED") or - (node["status"] == "TERMINATING")) - - return check_result - - @utils.debug_enabled(logger=logger) - def node_tags(self, node_id): - return self.cached_nodes[node_id]["tags"] - - @utils.debug_enabled(logger=logger) - def external_ip(self, node_id): - """Returns the external ip of the given node.""" - return self._get_cached_node(node_id=node_id)["external_ip"] - - @utils.debug_enabled(logger=logger) - def internal_ip(self, node_id): - """Returns the internal ip (Ray ip) of the given node.""" - return self._get_cached_node(node_id=node_id)["internal_ip"] - - @synchronized - @utils.debug_enabled(logger=logger) - def create_node(self, node_config, tags, count): - """Creates a number of nodes within the namespace.""" - start_time = round(time.time() * 1000) - starting_insts = [] - # Check first if it neccessary to create new nodes / start stopped nodes - VALIDITY_TAGS = [ - TAG_RAY_CLUSTER_NAME, - TAG_RAY_NODE_KIND, - TAG_RAY_USER_NODE_TYPE, - ] - filters = {tag: tags[tag] for tag in VALIDITY_TAGS if tag in tags} - - # Starting stopped nodes if cache_stopped_nodes=True - if self.cache_stopped_nodes: - logger.debug("Checking existing stopped nodes.") - - filters_with_launch_config = copy.copy(filters) - if TAG_RAY_LAUNCH_CONFIG in tags: - filters_with_launch_config[TAG_RAY_LAUNCH_CONFIG] = tags[ - TAG_RAY_LAUNCH_CONFIG] - - nodes_matching_launch_config = self.stopped_nodes( - filters_with_launch_config) - logger.debug(f"Found stopped nodes (with same launch config): " - f"{len(nodes_matching_launch_config)}") - - reuse_nodes = [] - if len(nodes_matching_launch_config) >= count: - reuse_nodes = nodes_matching_launch_config[:count] - else: - nodes_all = self.stopped_nodes(filters) - logger.debug(f"Found stopped nodes (regardless launch config): " - f"{len(nodes_all)}") - nodes_matching_launch_config_ids = [ - n["id"] for n in nodes_matching_launch_config - ] - nodes_non_matching_launch_config = [ - n for n in nodes_all - if n["id"] not in nodes_matching_launch_config_ids - ] - reuse_nodes = (nodes_matching_launch_config + - nodes_non_matching_launch_config) - reuse_nodes = reuse_nodes[:count] - - logger.info( - f"Reusing nodes {len(reuse_nodes)}: {list(reuse_nodes)}. " - "To disable reuse, set `cache_stopped_nodes: False` " - "under `provider` in the cluster configuration.",) - - for reuse_node in reuse_nodes: - if reuse_node["status"] == "STOPPING": - get_instance_response = oci_adaptor.get_core_client( - self.region, - oci_utils.oci_config.get_profile()).get_instance( - instance_id=reuse_node["id"]) - oci_adaptor.oci.wait_until( - oci_adaptor.get_core_client( - self.region, oci_utils.oci_config.get_profile()), - get_instance_response, - "lifecycle_state", - "STOPPED", - ) - - start_time1 = round(time.time() * 1000) - for matched_node in reuse_nodes: - matched_node_id = matched_node["id"] - instance_action_response = oci_adaptor.get_core_client( - self.region, - oci_utils.oci_config.get_profile()).instance_action( - instance_id=matched_node_id, action="START") - - starting_inst = instance_action_response.data - starting_insts.append({ - "inst_id": starting_inst.id, - "ad": starting_inst.availability_domain, - "compartment": starting_inst.compartment_id, - "lifecycle_state": starting_inst.lifecycle_state, - "oci_tags": starting_inst.freeform_tags, - }) - count -= len(reuse_nodes) - - launch_stopped_time = round(time.time() * 1000) - start_time1 - logger.debug( - "Time elapsed(Launch stopped): {0} milli-seconds.".format( - launch_stopped_time)) - # end if self.cache_stopped_nodes:... - - # Let's create additional new nodes (if neccessary) - if count > 0: - compartment = oci_query_helper.find_compartment(self.region) - vcn = oci_query_helper.find_create_vcn_subnet(self.region) - if vcn is None: - raise RuntimeError("VcnSubnetNotFound Error!") - - ocpu_count = 0 - vcpu_str = node_config["VCPUs"] - instance_type_str = node_config["InstanceType"] - - if vcpu_str is not None and vcpu_str != "None": - if instance_type_str.startswith( - f"{oci_utils.oci_config.VM_PREFIX}.A"): - # For ARM cpu, 1*ocpu = 1*vcpu - ocpu_count = round(float(vcpu_str)) - else: - # For Intel / AMD cpu, 1*ocpu = 2*vcpu - ocpu_count = round(float(vcpu_str) / 2) - ocpu_count = 1 if (ocpu_count > 0 and - ocpu_count < 1) else ocpu_count - - machine_shape_config = None - if ocpu_count > 0: - mem = node_config["MemoryInGbs"] - if mem is not None and mem != "None": - machine_shape_config = (oci_adaptor.oci.core.models. - LaunchInstanceShapeConfigDetails( - ocpus=ocpu_count, - memory_in_gbs=mem)) - else: - machine_shape_config = (oci_adaptor.oci.core.models. - LaunchInstanceShapeConfigDetails( - ocpus=ocpu_count)) - - preempitible_config = ( - oci_adaptor.oci.core.models.PreemptibleInstanceConfigDetails( - preemption_action=oci_adaptor.oci.core.models. - TerminatePreemptionAction(type="TERMINATE", - preserve_boot_volume=False)) - if node_config["Preemptible"] else None) - - logger.debug(f"Shape: {instance_type_str}, ocpu: {ocpu_count}") - logger.debug(f"Shape config is {machine_shape_config}") - logger.debug(f"Spot config is {preempitible_config}") - - vm_tags = { - **tags, - TAG_RAY_CLUSTER_NAME: self.cluster_name, - "sky_spot_flag": str(node_config["Preemptible"]).lower(), - } - # Use UTC time so that header & worker nodes use same rule - batch_id = datetime.utcnow().strftime("%Y%m%d%H%M%S") - node_type = tags[TAG_RAY_NODE_KIND] - - oci_query_helper.subscribe_image( - compartment_id=compartment, - listing_id=node_config["AppCatalogListingId"], - resource_version=node_config["ResourceVersion"], - region=self.region, - ) - - start_time1 = round(time.time() * 1000) - for seq in range(1, count + 1): - launch_instance_response = oci_adaptor.get_core_client( - self.region, oci_utils.oci_config.get_profile() - ).launch_instance( - launch_instance_details=oci_adaptor.oci.core.models. - LaunchInstanceDetails( - availability_domain=node_config["AvailabilityDomain"], - compartment_id=compartment, - shape=instance_type_str, - display_name= - f"{self.cluster_name}_{node_type}_{batch_id}_{seq}", - freeform_tags=vm_tags, - metadata={ - "ssh_authorized_keys": node_config["AuthorizedKey"] - }, - source_details=oci_adaptor.oci.core.models. - InstanceSourceViaImageDetails( - source_type="image", - image_id=node_config["ImageId"], - boot_volume_size_in_gbs=node_config[ - "BootVolumeSize"], - boot_volume_vpus_per_gb=int( - node_config["BootVolumePerf"]), - ), - create_vnic_details=oci_adaptor.oci.core.models. - CreateVnicDetails( - assign_public_ip=True, - subnet_id=vcn, - ), - shape_config=machine_shape_config, - preemptible_instance_config=preempitible_config, - )) - - new_inst = launch_instance_response.data - starting_insts.append({ - "inst_id": new_inst.id, - "ad": new_inst.availability_domain, - "compartment": new_inst.compartment_id, - "lifecycle_state": new_inst.lifecycle_state, - "oci_tags": new_inst.freeform_tags, - }) - # end for loop - - launch_new_time = round(time.time() * 1000) - start_time1 - logger.debug("Time elapsed(Launch): {0} milli-seconds.".format( - launch_new_time)) - # end if count > 0:... - - for ninst in starting_insts: - # Waiting for the instance to be RUNNING state - get_instance_response = oci_adaptor.get_core_client( - self.region, oci_utils.oci_config.get_profile()).get_instance( - instance_id=ninst["inst_id"]) - oci_adaptor.oci.wait_until( - oci_adaptor.get_core_client(self.region, - oci_utils.oci_config.get_profile()), - get_instance_response, - "lifecycle_state", - "RUNNING", - ) - ninst["lifecycle_state"] = "RUNNING" - self.cached_nodes[ninst["inst_id"]] = self.get_inst_obj(ninst) - - total_time = round(time.time() * 1000) - start_time - logger.debug( - "Total time elapsed: {0} milli-seconds.".format(total_time)) - - def get_inst_obj(self, inst_info): - list_vnic_attachments_response = oci_adaptor.get_core_client( - self.region, - oci_utils.oci_config.get_profile()).list_vnic_attachments( - availability_domain=inst_info["ad"], - compartment_id=inst_info["compartment"], - instance_id=inst_info["inst_id"], - ) - - vnic = list_vnic_attachments_response.data[0] - get_vnic_response = (oci_adaptor.get_net_client( - self.region, oci_utils.oci_config.get_profile()).get_vnic( - vnic_id=vnic.vnic_id).data) - - internal_ip = get_vnic_response.private_ip - external_ip = get_vnic_response.public_ip - if external_ip is None: - external_ip = internal_ip - - return { - "id": inst_info["inst_id"], - "external_ip": external_ip, - "internal_ip": internal_ip, - "tags": inst_info["oci_tags"], - "status": inst_info["lifecycle_state"], - } - - @synchronized - @utils.debug_enabled(logger=logger) - def set_node_tags(self, node_id, tags): - existing_tags = self._get_cached_node(node_id)["tags"] - combined_tags = dict(existing_tags, **tags) - - self.cached_nodes[node_id]["tags"] = combined_tags - retry_count = 0 - while retry_count < oci_utils.oci_config.MAX_RETRY_COUNT: - try: - oci_adaptor.get_core_client( - self.region, - oci_utils.oci_config.get_profile()).update_instance( - instance_id=node_id, - update_instance_details=oci_adaptor.oci.core.models. - UpdateInstanceDetails(freeform_tags=combined_tags), - ) - logger.info(f"Tags are well set for node {node_id}") - break - except Exception as e: - retry_count = retry_count + 1 - wait_seconds = oci_utils.oci_config.RETRY_INTERVAL_BASE_SECONDS * retry_count - logger.warn( - f"Not ready yet, wait {wait_seconds} seconds & retry!") - logger.warn(f"Exception message is {str(e)}") - time.sleep(wait_seconds) - - @synchronized - def terminate_node(self, node_id): - """Terminates the specified node.""" - logger.info(f"terminate_node {node_id}...") - node = self._get_cached_node(node_id) - if node is None: - logger.info(f"The node is not existed: {node_id}..") - return # Node not exists yet. - - logger.debug(f"sky_spot_flag: {node['tags']['sky_spot_flag']}") - preemptibleFlag = (True if node and - (str(node["tags"]["sky_spot_flag"]) == "true") else - False) - - if self.cache_stopped_nodes and not preemptibleFlag: - logger.info(f"Stopping instance {node_id}" - "(to fully terminate instead, " - "set `cache_stopped_nodes: False` " - "under `provider` in the cluster configuration)") - instance_action_response = oci_adaptor.get_core_client( - self.region, - oci_utils.oci_config.get_profile()).instance_action( - instance_id=node_id, action="STOP") - logger.info( - f"Stopped the instance {instance_action_response.data.id}") - if node_id in self.cached_nodes: - self.cached_nodes[node_id]["status"] = "STOPPED" - state_word = "Stopped" - else: - terminate_instance_response = oci_adaptor.get_core_client( - self.region, - oci_utils.oci_config.get_profile()).terminate_instance(node_id) - logger.debug(terminate_instance_response.data) - if node_id in self.cached_nodes: - del self.cached_nodes[node_id] - state_word = "Terminated" - - logger.info( - f"{state_word} {node_id} w/ sky_spot_flag: {preemptibleFlag}.") - - def _get_node(self, node_id): - self._get_filtered_nodes({}, - force=True) # All except for those terminated. - return self.cached_nodes.get(node_id, None) - - def _get_cached_node(self, node_id): - if node_id in self.cached_nodes: - return self.cached_nodes[node_id] - return self._get_node(node_id=node_id) - - def stopped_nodes(self, tag_filters): - """Return a list of stopped nodes filtered by the specified tags dict.""" - nodes = self._get_filtered_nodes(tag_filters=tag_filters, force=True) - return [ - v for _, v in nodes.items() - if v["status"] in ("STOPPED", "STOPPING") - ] - - def running_nodes(self, tag_filters): - """Return a list of running node ids filtered by the specified tags dict.""" - nodes = self._get_filtered_nodes(tag_filters=tag_filters) - return [k for k, v in nodes.items() if v["status"] == "RUNNING"] diff --git a/sky/skylet/providers/oci/utils.py b/sky/skylet/providers/oci/utils.py deleted file mode 100644 index 5628cee2524..00000000000 --- a/sky/skylet/providers/oci/utils.py +++ /dev/null @@ -1,21 +0,0 @@ -from datetime import datetime -import functools -from logging import Logger - - -def debug_enabled(logger: Logger): - - def decorate(f): - - @functools.wraps(f) - def wrapper(*args, **kwargs): - dt_str = datetime.now().strftime("%Y-%m-%d %H:%M:%S") - logger.debug(f"{dt_str} Enter {f}, {args}, {kwargs}") - try: - return f(*args, **kwargs) - finally: - logger.debug(f"{dt_str} Exit {f}") - - return wrapper - - return decorate diff --git a/sky/templates/oci-ray.yml.j2 b/sky/templates/oci-ray.yml.j2 index 64fa4e745c7..17c3e34459f 100644 --- a/sky/templates/oci-ray.yml.j2 +++ b/sky/templates/oci-ray.yml.j2 @@ -7,7 +7,7 @@ idle_timeout_minutes: 60 provider: type: external - module: sky.skylet.providers.oci.OCINodeProvider + module: sky.provision.oci region: {{region}} cache_stopped_nodes: True # Disable launch config check for worker nodes as it can cause resource leakage. @@ -39,25 +39,6 @@ available_node_types: Preemptible: {{use_spot}} AuthorizedKey: | skypilot:ssh_public_key_content -{% if num_nodes > 1 %} - ray_worker_default: - min_workers: {{num_nodes - 1}} - max_workers: {{num_nodes - 1}} - resources: {} - node_config: - InstanceType: {{instance_type}} - VCPUs: {{cpus}} - MemoryInGbs: {{memory}} - BootVolumeSize: {{disk_size}} - BootVolumePerf: {{vpu}} - AvailabilityDomain: {{zone}} - ImageId: {{image}} - AppCatalogListingId: {{app_catalog_listing_id}} - ResourceVersion: {{resource_version}} - Preemptible: {{use_spot}} - AuthorizedKey: | - skypilot:ssh_public_key_content -{%- endif %} head_node_type: ray_head_default @@ -70,9 +51,6 @@ file_mounts: { {%- endfor %} } -rsync_exclude: [] - -initialization_commands: [] # List of shell commands to run to set up nodes. # NOTE: these are very performance-sensitive. Each new item opens/closes an SSH @@ -113,34 +91,6 @@ setup_commands: [ -f /etc/fuse.conf ] && sudo sed -i 's/#user_allow_other/user_allow_other/g' /etc/fuse.conf || (sudo sh -c 'echo "user_allow_other" > /etc/fuse.conf'); sudo iptables -I INPUT -i ens3 -m state --state ESTABLISHED,RELATED,NEW -j ACCEPT; -# Command to start ray on the head node. You don't need to change this. -# NOTE: these are very performance-sensitive. Each new item opens/closes an SSH -# connection, which is expensive. Try your best to co-locate commands into fewer -# items! The same comment applies for worker_start_ray_commands. -# -# Increment the following for catching performance bugs easier: -# current num items (num SSH connections): 2 -head_start_ray_commands: - # NOTE: --disable-usage-stats in `ray start` saves 10 seconds of idle wait. - # Line "which prlimit ..": increase the limit of the number of open files for the raylet process, as the `ulimit` may not take effect at this point, because it requires - # all the sessions to be reloaded. This is a workaround. - - {{ sky_activate_python_env }}; {{ sky_ray_cmd }} stop; RAY_SCHEDULER_EVENTS=0 RAY_DEDUP_LOGS=0 {{ sky_ray_cmd }} start --disable-usage-stats --head --port={{ray_port}} --dashboard-port={{ray_dashboard_port}} --object-manager-port=8076 --autoscaling-config=~/ray_bootstrap_config.yaml {{"--resources='%s'" % custom_resources if custom_resources}} --temp-dir {{ray_temp_dir}} || exit 1; - which prlimit && for id in $(pgrep -f raylet/raylet); do sudo prlimit --nofile=1048576:1048576 --pid=$id || true; done; - {{dump_port_command}}; {{ray_head_wait_initialized_command}} - -{%- if num_nodes > 1 %} -worker_start_ray_commands: - - {{ sky_activate_python_env }}; {{ sky_ray_cmd }} stop; RAY_SCHEDULER_EVENTS=0 RAY_DEDUP_LOGS=0 {{ sky_ray_cmd }} start --disable-usage-stats --address=$RAY_HEAD_IP:{{ray_port}} --object-manager-port=8076 {{"--resources='%s'" % custom_resources if custom_resources}} --temp-dir {{ray_temp_dir}} || exit 1; - which prlimit && for id in $(pgrep -f raylet/raylet); do sudo prlimit --nofile=1048576:1048576 --pid=$id || true; done; -{%- else %} -worker_start_ray_commands: [] -{%- endif %} - -head_node: {} -worker_nodes: {} +# Command to start ray clusters are now placed in `sky.provision.instance_setup`. +# We do not need to list it here anymore. -# These fields are required for external cloud providers. -head_setup_commands: [] -worker_setup_commands: [] -cluster_synced_files: [] -file_mounts_sync_continuously: False From 3bfc29e7819efd320d20e75392bbbca71ded8c4d Mon Sep 17 00:00:00 2001 From: Alejandro Cuadron Lafuente Date: Mon, 11 Nov 2024 04:16:33 +0100 Subject: [PATCH 067/152] [UX - SkyServe] user now is able to select a LB policy from a range of options (#4061) * user can select load balancing policies * some fixes * linting * Fixes according to comments * Linting * Linting * Fixed according to comments * fix * removed line from examples * Reverted changes * Reverted changes * Fixed according to comments * Linting * Update sky/serve/load_balancer.py Co-authored-by: Tian Xia * [Catalog] Silently ignore TPU price not found. (#4134) * [Catalog] Silently ignore TPU price not found. * assert for non tpu v6e * format * [docs] Update GPUs used in docs (#4138) * Change V100 to H100 * updates * update * [k8s] Fix GPU labeling for EKS (#4146) Fix GPU labelling * [k8s] Handle @ in context name (#4147) Handle @ in context name * [Docs] Typo in distributed jobs docs (#4149) minor typo * [Performance] Refactor Azure SDK usage (#4139) * [Performance] Refactor Azure SDK usage * lazy import and address comments * address comments * fixes * fixes * nits * fixes * Fix OCI import issue (#4178) * Fix OCI import issue * Update sky/clouds/oci.py Co-authored-by: Zhanghao Wu * edit comments --------- Co-authored-by: Zhanghao Wu * [k8s] Add retry for apparmor failures (#4176) * Add retry for apparmor failures * add comment * [Docs] Update Managed Jobs page. (#4177) * [Docs] Update Managed Jobs page. * Lint * Updates * Minor: Jobs docs fix. (#4183) * [Docs] Update Managed Jobs page. * Lint * Updates * reword * [UX] remove all uses of deprecated `sky jobs` (#4173) * [UX] remove all uses of deprecated `sky jobs` * Apply suggestions from code review Co-authored-by: Romil Bhardwaj * fix other mentions of "spot jobs" --------- Co-authored-by: Romil Bhardwaj * [Azure] Support fractional A10 instance types (#3877) * fix * change catalog to float gpu num * support print float point gpu in sky launch. TODO: test if the ray deployment group works for fractional one * fix unittest * format * patch ray resources to ceil value * support launch from --gpus A10 * only allow strictly match fractional gpu counts * address comment * change back condition * fix * apply suggestions from code review * fix * Update sky/backends/cloud_vm_ray_backend.py Co-authored-by: Zhanghao Wu * format * fix display of fuzzy candidates * fix precision issue * fix num gpu required * refactor in check_resources_fit_cluster * change type annotation of acc_count * enable fuzzy fp acc count * fix k8s * Update sky/clouds/service_catalog/common.py Co-authored-by: Zhanghao Wu * fix integer gpus * format --------- Co-authored-by: Zhanghao Wu * [Jobs] Refactor: Extract task failure state update helper (#4185) refactor: a unified exception handling utility * [Core] Remove backward compatibility code for 0.6.0 & 0.7.0 (#4175) * [Core] Remove backward compatibility code for 0.6.0 * remove backwards compatibility for 0.7.0 release * Update sky/serve/serve_state.py Co-authored-by: Romil Bhardwaj * remove more * Revert "remove more" This reverts commit 34c28e93a083c7f4d02e9d8a8685a6d61d358e84. * remove more but not instance tags --------- Co-authored-by: Christopher Cooper Co-authored-by: Romil Bhardwaj * Remove outdated pylint disabling comments (#4196) Update cloud_vm_ray_backend.py * [test] update default clouds for smoke tests (#4182) * [k8s] Show all kubernetes clusters in optimizer table (#4013) * Show all kubernetes clusters in optimizer table * format * Add comment * [Azure] Allow resource group specifiation for Azure instance provisioning (#3764) * Allow resource group specifiation for Azure instance provisioning * Add 'use_external_resource_group' under provider config * nit * attached resources deletion * support deployment removal when terminating * nit * delete RoleAssignment when terminating * update ARM config template * nit * nit * delete role assignment with guid * update role assignment removal logic * Separate resource group region and VM, attached resources * nit * nit * nit * nit * add error handling for deletion * format * deployment naming update * test * nit * update deployment constant names * update open_ports to wait for the nsg creation corresponding to the VM being provisioned * format * nit * format * update docstring * add back deleted snippet * format * delete nic with retries * error handle update * [dev] restrict pylint to changed files (#4184) * [dev] restrict pylint to changed files * fix glob * avoid use of xargs -d * Update packer scripts (#4203) * Update custom image packer script to exclude .sky and include python sys packages * add comments * Upgrade Azure SDK version requirement (#4204) * [Jobs] Add option to specify `max_restarts_on_errors` (#4169) * Add option to specify `max_retry_on_failure` * fix recover counts * fix log streaming * fix docs * fix * fix * fix * fix * fix default value * Fix spinner * Add unit test for default strategy * fix test * format * Update docs/source/examples/managed-jobs.rst Co-authored-by: Zongheng Yang * rename to restarts * Update docs/source/examples/managed-jobs.rst Co-authored-by: Zongheng Yang * update docs * warning instead of error out * Update docs/source/examples/managed-jobs.rst Co-authored-by: Romil Bhardwaj * rename * add comment * fix * rename * Update sky/execution.py Co-authored-by: Romil Bhardwaj * Update sky/execution.py Co-authored-by: Romil Bhardwaj * address comments * format * commit changes for docs * Format --------- Co-authored-by: Zongheng Yang Co-authored-by: Romil Bhardwaj * [Core] Fix job race condition. (#4193) * [Core] Fix job race condition. * fix * simplify url * change to list_jobs * upd ray comments * only store jobs in ray_id_set * [Core] Fix issue with the wrong path of setup logs (#4209) * fix issue with a getting setup logs * More conservative * print error * comment * [Jobs] Fix jobs name (#4213) * fix issue with a getting setup logs * More conservative * print error * comment * Fix job name * [Performance] Speed up Azure A10 instance creation (#4205) * Use date instead of timestamp in skypilot image names * Speed up Azure A10 VM creation * disable nouveau and use smaller instance * address comments * address comments * add todo * [Tests] Fix public bucket tests (#4216) fix * [Catalog] Add TPU V6e. (#4218) * [Catalog] Add TPU V6e. * swap if else branch * [test] smoke test fixes for managed jobs (#4217) * [test] don't wait for old pending jobs controller messages `sky jobs queue` used to output a temporary "waiting" message while the managed jobs controller was still being provisioned/starting. Since #3288 this is not shown, and instead the queued jobs themselves will show PENDING/STARTING. This also requires some changes to tests to permit the PENDING and STARTING states for managed jobs. * fix default aws region * [test] wait for RECOVERING more quickly Smoke tests were failing because some managed jobs were fulling recovering back to the RUNNING state before the smoke test could catch the RECOVERING case (see e.g. #4192 `test_managed_jobs_cancellation_gcp`). Change tests that manually terminate a managed job instance, so that they will wait for the managed job to change away from the RUNNING state, checking every 10s. * address PR comments * fix * Add user toolkits to all sky custom images and fix PyTorch issue on A10 (#4219) * Add user toolkits to all sky custom images * address comments * [Core] Support TPU v6 (#4220) * init * fix * nit * format * add readme * add inference example * nit * add multi-host training * rephrase catalog doc * Update examples/tpu/v6e/README.md Co-authored-by: Zhanghao Wu --------- Co-authored-by: Zhanghao Wu * [Core] Make home address replacement more robust (#4227) * Make home address replacement more robust * format * [UX] sky launch --fast (#4159) * [UX] skip provisioning stages if cluster is already available * add new --skip-setup flag and further limit stages to match sky exec * rename flag to --fast * add smoke test for sky launch --fast * changes stages for --fast * fix --fast help message * add api test for fast param (outside CLI) * lint * explicitly specify stages * [Docs] Tpu v6 docs (#4221) * Update TPU v6 docs * tpu v6 docs * add TPU v6 * update * Fix tpu docs * fix indents * restructure TPU doc * Fix * Fix * fix * Fix TPU * fix docs * Update docs/source/reference/tpu.rst Co-authored-by: Tian Xia --------- Co-authored-by: Tian Xia * [ux] add sky jobs launch --fast (#4231) * [ux] add sky jobs launch --fast This flag will make the jobs controller launch use `sky launch --fast`. There are a few known situations where this can cause misbehavior in the jobs controller: - The SkyPilot wheel is outdated (due to changes in the SkyPilot code or a version upgrade). - The user's cloud credentials have changed. In this case the new credentials will not be synced, and if there are new clouds available in `sky check`, the cloud depedencies may not be correctly installed. However, this does speed up `jobs launch` _significantly_, so provide it as a dangerous option. Soon we will add robustness checks to `sky launch --fast` that will fix the above caveats, and we can remove this flag and just enable the behavior by default. * Apply suggestions from code review Co-authored-by: Romil Bhardwaj * fix lint --------- Co-authored-by: Romil Bhardwaj * [UX] Show 0.25 on controller queue (#4230) * Show 0.25 on controller queue * format * [Storage] Avoid opt-in regions for S3 (#4239) * S3 fix + timeout * S3 fix + timeout * lint * Update K8s docker image build and the source artifact registry (#4224) * Attempt at improving performance of k8s cluster launch * remove conda env creation * add multiple regions * K8s sky launch pulls the new docker images * Move k8s script * use us region only * typo * Remove --system-site-packages when setup sky cluster (#4168) * Remove --system-site-packages when setup sky cluster * add comments * [AWS/Azure] Avoid error out during image size check (#4244) * Avoid error out during image size check * Avoid error for azure * lint * [AWS] Disable additional auto update services for ubuntu image with cloud-init (#4252) * Disable additional auto update services for ubuntu image * simplify the commands * [Dashboard] Add a simple status filter. (#4253) * Disable more potential unattended upgrade sources for AWS (#4246) * Fix AWS unattended upgrade issue * more commands * add retry and disable all unattended * remove retry * disable unattended upgrades and add retry in aws default image * [docs]: OCI key_file path clarrification (#4262) * [docs]: OCI key_file path clarrification * Update installation.rst * [k8s] Parallelize setup for faster multi-node provisioning (#4240) * parallelize setup * lint * Add retries * lint * retry for get_remote_home_dir * optimize privilege check * parallelize termination * increase num threads * comments * lint * do not redirect stderr to /dev/null when submitting job (#4247) * do not redirect stderr to /dev/null when submitting job Should fix #4199. * remove grep, add worker_maximum_startup_concurrency override * [tests] Exclude runpod from smoke tests unless specified (#4238) Add runpod * Update comments pointing to Lambda's docs (#4272) * [Core] Avoid PENDING job to be set to FAILED and speed up job scheduling (#4264) * fix race condition for setting job status to FAILED during INIT * Fix * fix * format * Add smoke tests * revert pending submit * remove update entirely for the job schedule step * wait for job 32 to finish * fix smoke * move and rename * Add comment * minor * Set minimum port number a Ray worker can listen on to 11002 (#4278) Set worker minimum port number * [docs] use k8s instead of kubernetes in the CLI (#4164) * [docs] use k8s instead of kubernetes in the CLI * fix docs build script for linux * Update docs/source/reference/kubernetes/kubernetes-getting-started.rst Co-authored-by: Romil Bhardwaj --------- Co-authored-by: Romil Bhardwaj * [jobs] autodown managed job clusters (#4267) * [jobs] autodown managed job clusters If all goes correctly, the managed job controller should tear down a managed job cluster once the managed job completes. However, if the controller fails somehow (e.g. crashes, is terminated, etc), we don't want to leak resources. As a failsafe, set autodown on the job cluster. This is not foolproof, since the skylet on the cluster can also crash, but it's likely to catch many cases. * add comment about autodown duration * add leading _ * [UX] Improve Formatting of Post Job Creation Logs (#4198) * Update cloud_vm_ray_backend.py * Update cloud_vm_ray_backend.py * format * Fix `stream_logs` Duplicate Job Handling and TypeError (#4274) fix: multiple `job_id` * Update sky/serve/load_balancer.py Co-authored-by: Tian Xia * feat(serve): Improve load balancing policy error message and display 1. Add available policies to schema validation 2. Show available policies in error message when invalid policy is specified 3. Display load balancing policy in service spec repr when explicitly set * fix(serve): Update load balancing policy schema to match implemented policies Only 'round_robin' is currently implemented in LoadBalancingPolicy class * linting * refactor(serve): Remove policy enum from schema Move policy validation to code to avoid duplication and make it easier to maintain when adding new policies * fix * linting * Update sky/serve/service_spec.py Co-authored-by: Tian Xia * Fix circular import in schemas.py by moving load_balancing_policies import inside function * linting --------- Co-authored-by: Tian Xia Co-authored-by: Romil Bhardwaj Co-authored-by: Yika Co-authored-by: Zhanghao Wu Co-authored-by: Zongheng Yang Co-authored-by: Christopher Cooper Co-authored-by: Romil Bhardwaj Co-authored-by: Andy Lee Co-authored-by: landscapepainter <34902420+landscapepainter@users.noreply.github.com> Co-authored-by: Hysun He Co-authored-by: Cody Brownstein <105375373+cbrownstein-lambda@users.noreply.github.com> --- .../load_balancing_policies_example.yaml | 26 ++++++++++++ sky/serve/__init__.py | 2 + sky/serve/load_balancer.py | 42 +++++++++++++++---- sky/serve/load_balancing_policies.py | 24 ++++++++++- sky/serve/service.py | 5 ++- sky/serve/service_spec.py | 19 +++++++++ sky/utils/schemas.py | 8 ++++ 7 files changed, 116 insertions(+), 10 deletions(-) create mode 100644 examples/serve/load_balancing_policies_example.yaml diff --git a/examples/serve/load_balancing_policies_example.yaml b/examples/serve/load_balancing_policies_example.yaml new file mode 100644 index 00000000000..50038a9083a --- /dev/null +++ b/examples/serve/load_balancing_policies_example.yaml @@ -0,0 +1,26 @@ +# SkyServe YAML to demonstrate multiple load balancing policies. +# +# Usage: +# sky serve up -n load_balancing_policy_test examples/serve/load_balancing_policies_example.yaml +# The endpoint will be printed in the console. You +# could also check the endpoint by running: +# sky serve status --endpoint load_balancing_policy_test + +service: + readiness_probe: + path: /health + initial_delay_seconds: 20 + replica_policy: + min_replicas: 2 + max_replicas: 4 + target_qps_per_replica: 1 + # Load balancing policy configuration + load_balancing_policy: round_robin # Change this to test different policies... + +resources: + ports: 8080 + cpus: 2+ + +workdir: examples/serve/http_server + +run: python3 server.py diff --git a/sky/serve/__init__.py b/sky/serve/__init__.py index f93495809c3..6bda949d3c3 100644 --- a/sky/serve/__init__.py +++ b/sky/serve/__init__.py @@ -11,6 +11,7 @@ from sky.serve.core import terminate_replica from sky.serve.core import up from sky.serve.core import update +from sky.serve.load_balancing_policies import LB_POLICIES from sky.serve.serve_state import ReplicaStatus from sky.serve.serve_state import ServiceStatus from sky.serve.serve_utils import DEFAULT_UPDATE_MODE @@ -35,6 +36,7 @@ 'get_endpoint', 'INITIAL_VERSION', 'LB_CONTROLLER_SYNC_INTERVAL_SECONDS', + 'LB_POLICIES', 'ReplicaStatus', 'ServiceComponent', 'ServiceStatus', diff --git a/sky/serve/load_balancer.py b/sky/serve/load_balancer.py index c15f71e214a..30697532a22 100644 --- a/sky/serve/load_balancer.py +++ b/sky/serve/load_balancer.py @@ -2,7 +2,7 @@ import asyncio import logging import threading -from typing import Dict, Union +from typing import Dict, Optional, Union import aiohttp import fastapi @@ -27,18 +27,24 @@ class SkyServeLoadBalancer: policy. """ - def __init__(self, controller_url: str, load_balancer_port: int) -> None: + def __init__(self, + controller_url: str, + load_balancer_port: int, + load_balancing_policy_name: Optional[str] = None) -> None: """Initialize the load balancer. Args: controller_url: The URL of the controller. load_balancer_port: The port where the load balancer listens to. + load_balancing_policy_name: The name of the load balancing policy + to use. Defaults to None. """ self._app = fastapi.FastAPI() self._controller_url: str = controller_url self._load_balancer_port: int = load_balancer_port - self._load_balancing_policy: lb_policies.LoadBalancingPolicy = ( - lb_policies.RoundRobinPolicy()) + # Use the registry to create the load balancing policy + self._load_balancing_policy = lb_policies.LoadBalancingPolicy.make( + load_balancing_policy_name) self._request_aggregator: serve_utils.RequestsAggregator = ( serve_utils.RequestTimestamp()) # TODO(tian): httpx.Client has a resource limit of 100 max connections @@ -223,9 +229,21 @@ async def startup(): uvicorn.run(self._app, host='0.0.0.0', port=self._load_balancer_port) -def run_load_balancer(controller_addr: str, load_balancer_port: int): - load_balancer = SkyServeLoadBalancer(controller_url=controller_addr, - load_balancer_port=load_balancer_port) +def run_load_balancer(controller_addr: str, + load_balancer_port: int, + load_balancing_policy_name: Optional[str] = None) -> None: + """ Run the load balancer. + + Args: + controller_addr: The address of the controller. + load_balancer_port: The port where the load balancer listens to. + policy_name: The name of the load balancing policy to use. Defaults to + None. + """ + load_balancer = SkyServeLoadBalancer( + controller_url=controller_addr, + load_balancer_port=load_balancer_port, + load_balancing_policy_name=load_balancing_policy_name) load_balancer.run() @@ -241,5 +259,13 @@ def run_load_balancer(controller_addr: str, load_balancer_port: int): required=True, default=8890, help='The port where the load balancer listens to.') + available_policies = list(lb_policies.LB_POLICIES.keys()) + parser.add_argument( + '--load-balancing-policy', + choices=available_policies, + default='round_robin', + help=f'The load balancing policy to use. Available policies: ' + f'{", ".join(available_policies)}.') args = parser.parse_args() - run_load_balancer(args.controller_addr, args.load_balancer_port) + run_load_balancer(args.controller_addr, args.load_balancer_port, + args.load_balancing_policy) diff --git a/sky/serve/load_balancing_policies.py b/sky/serve/load_balancing_policies.py index 34c1fa4249b..aec6eb01487 100644 --- a/sky/serve/load_balancing_policies.py +++ b/sky/serve/load_balancing_policies.py @@ -10,6 +10,10 @@ logger = sky_logging.init_logger(__name__) +# Define a registry for load balancing policies +LB_POLICIES = {} +DEFAULT_LB_POLICY = None + def _request_repr(request: 'fastapi.Request') -> str: return (' None: self.ready_replicas: List[str] = [] + def __init_subclass__(cls, name: str, default: bool = False): + LB_POLICIES[name] = cls + if default: + global DEFAULT_LB_POLICY + assert DEFAULT_LB_POLICY is None, ( + 'Only one policy can be default.') + DEFAULT_LB_POLICY = name + + @classmethod + def make(cls, policy_name: Optional[str] = None) -> 'LoadBalancingPolicy': + """Create a load balancing policy from a name.""" + if policy_name is None: + policy_name = DEFAULT_LB_POLICY + + if policy_name not in LB_POLICIES: + raise ValueError(f'Unknown load balancing policy: {policy_name}') + return LB_POLICIES[policy_name]() + def set_ready_replicas(self, ready_replicas: List[str]) -> None: raise NotImplementedError @@ -44,7 +66,7 @@ def _select_replica(self, request: 'fastapi.Request') -> Optional[str]: raise NotImplementedError -class RoundRobinPolicy(LoadBalancingPolicy): +class RoundRobinPolicy(LoadBalancingPolicy, name='round_robin', default=True): """Round-robin load balancing policy.""" def __init__(self) -> None: diff --git a/sky/serve/service.py b/sky/serve/service.py index 956a4839a87..0a1c7f34766 100644 --- a/sky/serve/service.py +++ b/sky/serve/service.py @@ -219,6 +219,9 @@ def _get_host(): load_balancer_port = common_utils.find_free_port( constants.LOAD_BALANCER_PORT_START) + # Extract the load balancing policy from the service spec + policy_name = service_spec.load_balancing_policy + # Start the load balancer. # TODO(tian): Probably we could enable multiple ports specified in # service spec and we could start multiple load balancers. @@ -227,7 +230,7 @@ def _get_host(): target=ux_utils.RedirectOutputForProcess( load_balancer.run_load_balancer, load_balancer_log_file).run, - args=(controller_addr, load_balancer_port)) + args=(controller_addr, load_balancer_port, policy_name)) load_balancer_process.start() serve_state.set_service_load_balancer_port(service_name, load_balancer_port) diff --git a/sky/serve/service_spec.py b/sky/serve/service_spec.py index 2eff6f40a9d..000eed139f1 100644 --- a/sky/serve/service_spec.py +++ b/sky/serve/service_spec.py @@ -6,6 +6,7 @@ import yaml +from sky import serve from sky.serve import constants from sky.utils import common_utils from sky.utils import schemas @@ -29,6 +30,7 @@ def __init__( base_ondemand_fallback_replicas: Optional[int] = None, upscale_delay_seconds: Optional[int] = None, downscale_delay_seconds: Optional[int] = None, + load_balancing_policy: Optional[str] = None, ) -> None: if max_replicas is not None and max_replicas < min_replicas: with ux_utils.print_exception_no_traceback(): @@ -55,6 +57,13 @@ def __init__( raise ValueError('readiness_path must start with a slash (/). ' f'Got: {readiness_path}') + # Add the check for unknown load balancing policies + if (load_balancing_policy is not None and + load_balancing_policy not in serve.LB_POLICIES): + with ux_utils.print_exception_no_traceback(): + raise ValueError( + f'Unknown load balancing policy: {load_balancing_policy}. ' + f'Available policies: {list(serve.LB_POLICIES.keys())}') self._readiness_path: str = readiness_path self._initial_delay_seconds: int = initial_delay_seconds self._readiness_timeout_seconds: int = readiness_timeout_seconds @@ -69,6 +78,7 @@ def __init__( int] = base_ondemand_fallback_replicas self._upscale_delay_seconds: Optional[int] = upscale_delay_seconds self._downscale_delay_seconds: Optional[int] = downscale_delay_seconds + self._load_balancing_policy: Optional[str] = load_balancing_policy self._use_ondemand_fallback: bool = ( self.dynamic_ondemand_fallback is not None and @@ -150,6 +160,8 @@ def from_yaml_config(config: Dict[str, Any]) -> 'SkyServiceSpec': service_config['dynamic_ondemand_fallback'] = policy_section.get( 'dynamic_ondemand_fallback', None) + service_config['load_balancing_policy'] = config.get( + 'load_balancing_policy', None) return SkyServiceSpec(**service_config) @staticmethod @@ -205,6 +217,8 @@ def add_if_not_none(section, key, value, no_empty: bool = False): self.upscale_delay_seconds) add_if_not_none('replica_policy', 'downscale_delay_seconds', self.downscale_delay_seconds) + add_if_not_none('load_balancing_policy', None, + self._load_balancing_policy) return config def probe_str(self): @@ -256,6 +270,7 @@ def __repr__(self) -> str: Readiness probe timeout seconds: {self.readiness_timeout_seconds} Replica autoscaling policy: {self.autoscaling_policy_str()} Spot Policy: {self.spot_policy_str()} + Load Balancing Policy: {self.load_balancing_policy} """) @property @@ -310,3 +325,7 @@ def downscale_delay_seconds(self) -> Optional[int]: @property def use_ondemand_fallback(self) -> bool: return self._use_ondemand_fallback + + @property + def load_balancing_policy(self) -> Optional[str]: + return self._load_balancing_policy diff --git a/sky/utils/schemas.py b/sky/utils/schemas.py index 81c4cb332a6..4d5cc809013 100644 --- a/sky/utils/schemas.py +++ b/sky/utils/schemas.py @@ -308,6 +308,9 @@ def get_storage_schema(): def get_service_schema(): """Schema for top-level `service:` field (for SkyServe).""" + # To avoid circular imports, only import when needed. + # pylint: disable=import-outside-toplevel + from sky.serve import load_balancing_policies return { '$schema': 'https://json-schema.org/draft/2020-12/schema', 'type': 'object', @@ -382,6 +385,11 @@ def get_service_schema(): 'replicas': { 'type': 'integer', }, + 'load_balancing_policy': { + 'type': 'string', + 'case_insensitive_enum': list( + load_balancing_policies.LB_POLICIES.keys()) + }, } } From 2540c9f7292058997745aee7468ba1b9076cd43d Mon Sep 17 00:00:00 2001 From: Andy Lee Date: Sun, 10 Nov 2024 19:46:40 -0800 Subject: [PATCH 068/152] [Tests] Fix smoke tests for new job creation log format (#4325) tests: update smoke tests to match new job creation log format --- tests/test_smoke.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/tests/test_smoke.py b/tests/test_smoke.py index 4433b0ae4df..14628ccdf73 100644 --- a/tests/test_smoke.py +++ b/tests/test_smoke.py @@ -288,13 +288,13 @@ def test_example_app(): # (min, pid=1277) # (min, pid=1277) task run finish # ✓ Job finished (status: SUCCEEDED). - - # 📋 Useful Commands + # # Job ID: 1 + # 📋 Useful Commands # ├── To cancel the job: sky cancel test 1 # ├── To stream job logs: sky logs test 1 # └── To view job queue: sky queue test - + # # Cluster name: test # ├── To log into the head VM: ssh test # ├── To submit a job: sky exec test yaml_file @@ -314,8 +314,8 @@ def test_example_app(): 'grep "Job finished (status: SUCCEEDED)" && ' 'echo "==Validating task output ending 2==" && ' 'echo "$s" | grep -A 5 "Job finished (status: SUCCEEDED)" | ' - 'grep "Useful Commands" && ' - 'echo "$s" | grep -A 1 "Useful Commands" | grep "Job ID:"') + 'grep "Job ID:" && ' + 'echo "$s" | grep -A 1 "Job ID:" | grep "Useful Commands"') # ---------- A minimal task ---------- From 24982a1f0ca411862b67660e580e2360310812b2 Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Sun, 10 Nov 2024 19:48:27 -0800 Subject: [PATCH 069/152] [k8s] Parallelize multi-node setup (#4297) * disable ssh flag for k8s * lint * lint * make apt update conditional * lint * wip * consolidate into one pre_init stage for reduced overheads * lint * robust apt-update checks * lint * lint * remove rsync stuff * remove provider_config arg * remove provider_config arg * remove lsof, comments --- sky/provision/docker_utils.py | 2 +- sky/provision/kubernetes/instance.py | 206 ++++++++++++++------------- sky/templates/kubernetes-ray.yml.j2 | 22 ++- 3 files changed, 126 insertions(+), 104 deletions(-) diff --git a/sky/provision/docker_utils.py b/sky/provision/docker_utils.py index 3ee5d4dfc0c..c55508ab41a 100644 --- a/sky/provision/docker_utils.py +++ b/sky/provision/docker_utils.py @@ -20,7 +20,7 @@ '{ if [ $(id -u) -ne 0 ]; then echo "sudo"; else echo ""; fi; } && ' 'printenv | while IFS=\'=\' read -r key value; do echo "export $key=\\\"$value\\\""; done > ' # pylint: disable=line-too-long '~/container_env_var.sh && ' - '$(prefix_cmd) mv ~/container_env_var.sh /etc/profile.d/container_env_var.sh' + '$(prefix_cmd) mv ~/container_env_var.sh /etc/profile.d/container_env_var.sh;' ) # Docker daemon may not be ready when the machine is firstly started. The error diff --git a/sky/provision/kubernetes/instance.py b/sky/provision/kubernetes/instance.py index 14eea45149c..b54575301a1 100644 --- a/sky/provision/kubernetes/instance.py +++ b/sky/provision/kubernetes/instance.py @@ -333,52 +333,37 @@ def _run_function_with_retries(func: Callable, raise -def _set_env_vars_in_pods(namespace: str, context: Optional[str], - new_pods: List): - """Setting environment variables in pods. - - Once all containers are ready, we can exec into them and set env vars. - Kubernetes automatically populates containers with critical - environment variables, such as those for discovering services running - in the cluster and CUDA/nvidia environment variables. We need to - make sure these env vars are available in every task and ssh session. - This is needed for GPU support and service discovery. - See https://github.com/skypilot-org/skypilot/issues/2287 for - more details. - - To do so, we capture env vars from the pod's runtime and write them to - /etc/profile.d/, making them available for all users in future - shell sessions. - """ - set_k8s_env_var_cmd = docker_utils.SETUP_ENV_VARS_CMD +def pre_init(namespace: str, context: Optional[str], new_nodes: List) -> None: + """Pre-initialization step for SkyPilot pods. - def _set_env_vars_thread(new_pod): - pod_name = new_pod.metadata.name - logger.info(f'{"-"*20}Start: Set up env vars in pod {pod_name!r} ' - f'{"-"*20}') - runner = command_runner.KubernetesCommandRunner( - ((namespace, context), pod_name)) + This step is run in the pod right after it is created and before the + SkyPilot runtime is setup. - def _run_env_vars_cmd(): - rc, stdout, _ = runner.run(set_k8s_env_var_cmd, - require_outputs=True, - stream_logs=False) - _raise_command_running_error('set env vars', set_k8s_env_var_cmd, - pod_name, rc, stdout) + This step includes three key steps: - _run_function_with_retries(_run_env_vars_cmd, - f'set env vars in pod {pod_name}') - logger.info(f'{"-"*20}End: Set up env vars in pod {pod_name!r} ' - f'{"-"*20}') + 1. Privilege check: Checks if the default user has sufficient privilege + to set up the kubernetes instance pod. + 2. SSH setup: Sets up SSH for the pod instance. + 3. Environment variable setup to populate k8s env vars in the pod. - subprocess_utils.run_in_parallel(_set_env_vars_thread, new_pods, - NUM_THREADS) + Make sure commands used in these methods are generic and work + on most base images. E.g., do not use Python, since that may not + be installed by default. + If you run any apt commands, be sure to check if the lock is available. + It is possible the `apt update` run in the pod container args may still + be running. + + Args: + namespace (str): Kubernetes namespace. + context (Optional[str]): Kubernetes context. + new_nodes (List): List of new pod instances. + + Raises: + config_lib.KubernetesError: If user privileges are insufficient or + setup fails. + """ -def _check_user_privilege(namespace: str, context: Optional[str], - new_nodes: List) -> None: - # Checks if the default user has sufficient privilege to set up - # the kubernetes instance pod. check_k8s_user_sudo_cmd = ( 'if [ $(id -u) -eq 0 ]; then' # If user is root, create an alias for sudo used in skypilot setup @@ -386,56 +371,67 @@ def _check_user_privilege(namespace: str, context: Optional[str], 'else ' ' if command -v sudo >/dev/null 2>&1; then ' ' timeout 2 sudo -l >/dev/null 2>&1 && echo succeed || ' - f' ( echo {exceptions.INSUFFICIENT_PRIVILEGES_CODE!r}; ); ' + f' ( echo {exceptions.INSUFFICIENT_PRIVILEGES_CODE!r}; ' + f' exit {exceptions.INSUFFICIENT_PRIVILEGES_CODE}; ); ' ' else ' - f' ( echo {exceptions.INSUFFICIENT_PRIVILEGES_CODE!r}; ); ' + f' ( echo {exceptions.INSUFFICIENT_PRIVILEGES_CODE!r}; ' + f' exit {exceptions.INSUFFICIENT_PRIVILEGES_CODE}; ); ' ' fi; ' - 'fi') + 'fi;') + + # Kubernetes automatically populates containers with critical + # environment variables, such as those for discovering services running + # in the cluster and CUDA/nvidia environment variables. We need to + # make sure these env vars are available in every task and ssh session. + # This is needed for GPU support and service discovery. + # See https://github.com/skypilot-org/skypilot/issues/2287 for more details. + # To do so, we capture env vars from the pod's runtime and write them to + # /etc/profile.d/, making them available for all users in future + # shell sessions. + set_k8s_env_var_cmd = docker_utils.SETUP_ENV_VARS_CMD - # This check needs to run on a per-image basis, so running the check on - # any one pod is sufficient. - new_node = new_nodes[0] - pod_name = new_node.metadata.name + check_apt_update_complete_cmd = ( + 'echo "Checking if apt update from container init is complete..."; ' + 'timeout_secs=600; ' + 'start_time=$(date +%s); ' + 'while ! grep -q "Fetched" /tmp/apt-update.log 2>/dev/null; do ' + ' echo "apt update still running. Logs:"; ' + ' cat /tmp/apt-update.log; ' + ' current_time=$(date +%s); ' + ' elapsed=$((current_time - start_time)); ' + ' if [ $elapsed -ge $timeout_secs ]; then ' + ' echo "Timed out waiting for apt update"; ' + ' exit 1; ' + ' fi; ' + ' sleep 5; ' + 'done; ' + 'echo "apt update complete."; ') - runner = command_runner.KubernetesCommandRunner( - ((namespace, context), pod_name)) - logger.info(f'{"-"*20}Start: Check user privilege in pod {pod_name!r} ' - f'{"-"*20}') - - def _run_privilege_check(): - rc, stdout, stderr = runner.run(check_k8s_user_sudo_cmd, - require_outputs=True, - separate_stderr=True, - stream_logs=False) - _raise_command_running_error('check user privilege', - check_k8s_user_sudo_cmd, pod_name, rc, - stdout + stderr) - return stdout - - stdout = _run_function_with_retries( - _run_privilege_check, f'check user privilege in pod {pod_name!r}') - - if stdout == str(exceptions.INSUFFICIENT_PRIVILEGES_CODE): - raise config_lib.KubernetesError( - 'Insufficient system privileges detected. ' - 'Ensure the default user has root access or ' - '"sudo" is installed and the user is added to the sudoers ' - 'from the image.') - logger.info(f'{"-"*20}End: Check user privilege in pod {pod_name!r} ' - f'{"-"*20}') - - -def _setup_ssh_in_pods(namespace: str, context: Optional[str], - new_nodes: List) -> None: - # Setting up ssh for the pod instance. This is already setup for - # the jump pod so it does not need to be run for it. - set_k8s_ssh_cmd = ( - 'set -ex; ' + install_ssh_k8s_cmd = ( 'prefix_cmd() ' '{ if [ $(id -u) -ne 0 ]; then echo "sudo"; else echo ""; fi; }; ' 'export DEBIAN_FRONTEND=noninteractive;' - '$(prefix_cmd) apt-get update;' - '$(prefix_cmd) apt install openssh-server rsync -y; ' + 'echo "Installing missing packages..."; ' + 'for i in {1..5}; do ' + ' output=$($(prefix_cmd) apt install openssh-server rsync -y 2>&1); ' + ' rc=$?; ' + ' if [ $rc -eq 0 ]; then ' + ' break; ' + ' fi; ' + ' echo "$output" | grep -qi "could not get lock" || ' + ' grep -qi "Unable to acquire the dpkg frontend lock"; ' + ' if [ $? -eq 0 ]; then ' + ' echo "apt install failed due to lock, retrying. (Attempt $i/5)"; ' + ' sleep 5; ' + ' else ' + ' echo "apt install failed for a non-lock reason: $output"; ' + ' exit $rc; ' + ' fi; ' + 'done; ' + 'if [ $rc -ne 0 ]; then ' + ' echo "apt install failed after 5 attempts due to lock errors."; ' + ' exit $rc; ' + 'fi; ' '$(prefix_cmd) mkdir -p /var/run/sshd; ' '$(prefix_cmd) ' 'sed -i "s/PermitRootLogin prohibit-password/PermitRootLogin yes/" ' @@ -456,24 +452,35 @@ def _setup_ssh_in_pods(namespace: str, context: Optional[str], # See https://www.educative.io/answers/error-mesg-ttyname-failed-inappropriate-ioctl-for-device # pylint: disable=line-too-long '$(prefix_cmd) sed -i "s/mesg n/tty -s \\&\\& mesg n/" ~/.profile;') - def _setup_ssh_thread(new_node): + pre_init_cmd = ('set -ex; ' + check_k8s_user_sudo_cmd + + set_k8s_env_var_cmd + check_apt_update_complete_cmd + + install_ssh_k8s_cmd) + + def _pre_init_thread(new_node): pod_name = new_node.metadata.name + logger.info(f'{"-"*20}Start: Pre-init in pod {pod_name!r} {"-"*20}') runner = command_runner.KubernetesCommandRunner( ((namespace, context), pod_name)) - logger.info(f'{"-"*20}Start: Set up SSH in pod {pod_name!r} {"-"*20}') - def _run_ssh_setup(): - rc, stdout, _ = runner.run(set_k8s_ssh_cmd, - require_outputs=True, - stream_logs=False) - _raise_command_running_error('setup ssh', set_k8s_ssh_cmd, pod_name, - rc, stdout) + # Run the combined pre-init command + rc, stdout, _ = runner.run(pre_init_cmd, + require_outputs=True, + stream_logs=False) + if rc == exceptions.INSUFFICIENT_PRIVILEGES_CODE: + raise config_lib.KubernetesError( + 'Insufficient system privileges detected. ' + 'Ensure the default user has root access or ' + '"sudo" is installed and the user is added to the sudoers ' + 'from the image.') + + op_name = 'pre-init' + _raise_command_running_error(op_name, pre_init_cmd, pod_name, rc, + stdout) - _run_function_with_retries(_run_ssh_setup, - f'setup ssh in pod {pod_name!r}') - logger.info(f'{"-"*20}End: Set up SSH in pod {pod_name!r} {"-"*20}') + logger.info(f'{"-"*20}End: Pre-init in pod {pod_name!r} {"-"*20}') - subprocess_utils.run_in_parallel(_setup_ssh_thread, new_nodes, NUM_THREADS) + # Run pre_init in parallel across all new_nodes + subprocess_utils.run_in_parallel(_pre_init_thread, new_nodes, NUM_THREADS) def _label_pod(namespace: str, context: Optional[str], pod_name: str, @@ -724,13 +731,8 @@ def _create_pods(region: str, cluster_name_on_cloud: str, f'pods: {list(uninitialized_pods.keys())}') uninitialized_pods_list = list(uninitialized_pods.values()) - # Setup SSH and environment variables in pods. - # Make sure commands used in these methods are generic and work - # on most base images. E.g., do not use Python, since that may not - # be installed by default. - _check_user_privilege(namespace, context, uninitialized_pods_list) - _setup_ssh_in_pods(namespace, context, uninitialized_pods_list) - _set_env_vars_in_pods(namespace, context, uninitialized_pods_list) + # Run pre-init steps in the pod. + pre_init(namespace, context, uninitialized_pods_list) for pod in uninitialized_pods.values(): _label_pod(namespace, diff --git a/sky/templates/kubernetes-ray.yml.j2 b/sky/templates/kubernetes-ray.yml.j2 index e367cd536f6..6a2a1091b98 100644 --- a/sky/templates/kubernetes-ray.yml.j2 +++ b/sky/templates/kubernetes-ray.yml.j2 @@ -324,6 +324,15 @@ available_node_types: command: ["/bin/bash", "-c", "--"] args: - | + # Helper function to conditionally use sudo + prefix_cmd() { if [ $(id -u) -ne 0 ]; then echo "sudo"; else echo ""; fi; } + + # Run apt update in background and log to a file + ( + DEBIAN_FRONTEND=noninteractive $(prefix_cmd) apt-get update > /tmp/apt-update.log 2>&1 || \ + echo "Warning: apt-get update failed. Continuing anyway..." >> /tmp/apt-update.log + ) & + function mylsof { p=$(for pid in /proc/{0..9}*; do i=$(basename "$pid"); for file in "$pid"/fd/*; do link=$(readlink -e "$file"); if [ "$link" = "$1" ]; then echo "$i"; fi; done; done); echo "$p"; }; # Tails file and checks every 5 sec for @@ -419,7 +428,18 @@ setup_commands: # Line 'sudo grep ..': set the number of threads per process to unlimited to avoid ray job submit stucking issue when the number of running ray jobs increase. # Line 'mkdir -p ..': disable host key check # Line 'python3 -c ..': patch the buggy ray files and enable `-o allow_other` option for `goofys` - - sudo DEBIAN_FRONTEND=noninteractive apt install lsof gcc patch pciutils rsync fuse curl -y; + - | + PACKAGES="gcc patch pciutils rsync fuse curl"; + MISSING_PACKAGES=""; + for pkg in $PACKAGES; do + if ! dpkg -l | grep -q "^ii $pkg "; then + MISSING_PACKAGES="$MISSING_PACKAGES $pkg"; + fi + done; + if [ ! -z "$MISSING_PACKAGES" ]; then + echo "Installing missing packages: $MISSING_PACKAGES"; + sudo DEBIAN_FRONTEND=noninteractive apt-get install -y $MISSING_PACKAGES; + fi; mkdir -p ~/.ssh; touch ~/.ssh/config; {%- for initial_setup_command in initial_setup_commands %} {{ initial_setup_command }} From 91323d86baaeb1341c6953e15bbf19f2896b67ad Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Sun, 10 Nov 2024 21:26:40 -0800 Subject: [PATCH 070/152] [docs][azure] Update config doc for azure resource group specification (#4316) Update config doc for azure resource group specification --- docs/source/reference/config.rst | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/docs/source/reference/config.rst b/docs/source/reference/config.rst index b8255b46402..5c7152c4074 100644 --- a/docs/source/reference/config.rst +++ b/docs/source/reference/config.rst @@ -431,6 +431,12 @@ Available fields and semantics: # Advanced Azure configurations (optional). # Apply to all new instances but not existing ones. azure: + # By default, SkyPilot creates a unique resource group for each VM when + # launched. If specified, all VMs will be launched within the provided + # resource group. Additionally, controllers for serve and managed jobs will + # be created in this resource group. Note: This setting only applies to VMs + # and does not affect storage accounts or containers. + resource_group_vm: user-resource-group-name # Specify an existing Azure storage account for SkyPilot-managed containers. # If not set, SkyPilot will use its default naming convention to create and # use the storage account unless container endpoint URI is used as source. From 2c7419cdd22adb440bd37702be6f1ddc1c287684 Mon Sep 17 00:00:00 2001 From: Lei Date: Tue, 12 Nov 2024 03:01:44 +0800 Subject: [PATCH 071/152] fix broken links when read the docs (#4330) fix broken links Signed-off-by: nkwangleiGIT --- README.md | 2 +- llm/llama-3_2/README.md | 2 +- llm/lorax/README.md | 2 +- llm/sglang/README.md | 4 ++-- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 2629cc4e4c8..40a41e18782 100644 --- a/README.md +++ b/README.md @@ -183,7 +183,7 @@ Runnable examples: - [LocalGPT](./llm/localgpt) - [Falcon](./llm/falcon) - Add yours here & see more in [`llm/`](./llm)! -- Framework examples: [PyTorch DDP](https://github.com/skypilot-org/skypilot/blob/master/examples/resnet_distributed_torch.yaml), [DeepSpeed](./examples/deepspeed-multinode/sky.yaml), [JAX/Flax on TPU](https://github.com/skypilot-org/skypilot/blob/master/examples/tpu/tpuvm_mnist.yaml), [Stable Diffusion](https://github.com/skypilot-org/skypilot/tree/master/examples/stable_diffusion), [Detectron2](https://github.com/skypilot-org/skypilot/blob/master/examples/detectron2_docker.yaml), [Distributed](https://github.com/skypilot-org/skypilot/blob/master/examples/resnet_distributed_tf_app.py) [TensorFlow](https://github.com/skypilot-org/skypilot/blob/master/examples/resnet_app_storage.yaml), [Ray Train](examples/distributed_ray_train/ray_train.yaml), [NeMo](https://github.com/skypilot-org/skypilot/blob/master/examples/nemo/nemo.yaml), [programmatic grid search](https://github.com/skypilot-org/skypilot/blob/master/examples/huggingface_glue_imdb_grid_search_app.py), [Docker](https://github.com/skypilot-org/skypilot/blob/master/examples/docker/echo_app.yaml), [Cog](https://github.com/skypilot-org/skypilot/blob/master/examples/cog/), [Unsloth](https://github.com/skypilot-org/skypilot/blob/master/examples/unsloth/unsloth.yaml), [Ollama](https://github.com/skypilot-org/skypilot/blob/master/llm/ollama), [llm.c](https://github.com/skypilot-org/skypilot/tree/master/llm/gpt-2), [Airflow](./examples/airflow/training_workflow) and [many more (`examples/`)](./examples). +- Framework examples: [PyTorch DDP](https://github.com/skypilot-org/skypilot/blob/master/examples/resnet_distributed_torch.yaml), [DeepSpeed](./examples/deepspeed-multinode/sky.yaml), [JAX/Flax on TPU](https://github.com/skypilot-org/skypilot/blob/master/examples/tpu/tpuvm_mnist.yaml), [Stable Diffusion](https://github.com/skypilot-org/skypilot/tree/master/examples/stable_diffusion), [Detectron2](https://github.com/skypilot-org/skypilot/blob/master/examples/detectron2_docker.yaml), [Distributed](https://github.com/skypilot-org/skypilot/blob/master/examples/resnet_distributed_tf_app.py) [TensorFlow](https://github.com/skypilot-org/skypilot/blob/master/examples/resnet_app_storage.yaml), [Ray Train](examples/distributed_ray_train/ray_train.yaml), [NeMo](https://github.com/skypilot-org/skypilot/blob/master/examples/nemo/), [programmatic grid search](https://github.com/skypilot-org/skypilot/blob/master/examples/huggingface_glue_imdb_grid_search_app.py), [Docker](https://github.com/skypilot-org/skypilot/blob/master/examples/docker/echo_app.yaml), [Cog](https://github.com/skypilot-org/skypilot/blob/master/examples/cog/), [Unsloth](https://github.com/skypilot-org/skypilot/blob/master/examples/unsloth/unsloth.yaml), [Ollama](https://github.com/skypilot-org/skypilot/blob/master/llm/ollama), [llm.c](https://github.com/skypilot-org/skypilot/tree/master/llm/gpt-2), [Airflow](./examples/airflow/training_workflow) and [many more (`examples/`)](./examples). Case Studies and Integrations: [Community Spotlights](https://blog.skypilot.co/community/) diff --git a/llm/llama-3_2/README.md b/llm/llama-3_2/README.md index eb62071471d..987dc0d90c5 100644 --- a/llm/llama-3_2/README.md +++ b/llm/llama-3_2/README.md @@ -351,4 +351,4 @@ See more details in [SkyServe docs](https://skypilot.readthedocs.io/en/latest/se ## Developing and Finetuning Llama 3 series -SkyPilot also simplifies the development and finetuning of Llama 3 series. Check out the development and finetuning guides: [Develop](https://github.com/skypilot-org/skypilot/blob/master/llm/llama-3_1/README.md) and [Finetune](https://github.com/skypilot-org/skypilot/blob/master/llm/llama-3_1-finetuning/README.md). +SkyPilot also simplifies the development and finetuning of Llama 3 series. Check out the development and finetuning guides: [Develop](https://github.com/skypilot-org/skypilot/blob/master/llm/llama-3_1/README.md) and [Finetune](https://github.com/skypilot-org/skypilot/blob/master/llm/llama-3_1-finetuning/readme.md). diff --git a/llm/lorax/README.md b/llm/lorax/README.md index 6cc44cf1134..edd153d45f1 100644 --- a/llm/lorax/README.md +++ b/llm/lorax/README.md @@ -91,7 +91,7 @@ Here are some other interesting Mistral-7B fine-tuned models to test out: - [IlyaGusev/saiga_mistral_7b_lora](https://huggingface.co/IlyaGusev/saiga_mistral_7b_lora): Russian chatbot based on `Open-Orca/Mistral-7B-OpenOrca`. - [Undi95/Mistral-7B-roleplay_alpaca-lora](https://huggingface.co/Undi95/Mistral-7B-roleplay_alpaca-lora): Fine-tuned using role-play prompts. -You can find more LoRA adapters [here](https://huggingface.co/models?pipeline_tag=text-generation&sort=trending&search=-lora), or try fine-tuning your own with [PEFT](https://github.com/huggingface/peft) or [Ludwig](https://ludwig.ai). +You can find more LoRA adapters [here](https://huggingface.co/models?pipeline_tag=text-generation&sort=trending&search=lora), or try fine-tuning your own with [PEFT](https://github.com/huggingface/peft) or [Ludwig](https://ludwig.ai). ## Stop the deployment diff --git a/llm/sglang/README.md b/llm/sglang/README.md index fc79529148a..7d41b8fc168 100644 --- a/llm/sglang/README.md +++ b/llm/sglang/README.md @@ -63,7 +63,7 @@ ENDPOINT=$(sky serve status --endpoint sglang-llava) 4. Once it status is `READY`, you can use the endpoint to talk to the model with both text and image inputs:
- +
Input image to the LLaVA model.
@@ -80,7 +80,7 @@ curl $ENDPOINT/v1/chat/completions \ { "type": "image_url", "image_url": { - "url": "https://raw.githubusercontent.com/sgl-project/sglang/main/examples/quick_start/images/cat.jpeg" + "url": "https://raw.githubusercontent.com/sgl-project/sglang/main/examples/frontend_language/quick_start/images/cat.jpeg" } } ] From 140125eaad5fb64da37934c8f6650d68aa135f77 Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Mon, 11 Nov 2024 16:04:07 -0800 Subject: [PATCH 072/152] [k8s] Fix show-gpus when limited permissions are available (#4208) * fixes * fixes * fixes * lint * update error str --- .../cloud-permissions/kubernetes.rst | 27 ++++++++++- .../kubernetes/kubernetes-getting-started.rst | 5 +++ sky/cli.py | 10 +++-- .../service_catalog/kubernetes_catalog.py | 45 ++++++++++++++----- sky/provision/kubernetes/utils.py | 40 +++++++++++------ sky/utils/kubernetes/generate_kubeconfig.sh | 3 ++ 6 files changed, 101 insertions(+), 29 deletions(-) diff --git a/docs/source/cloud-setup/cloud-permissions/kubernetes.rst b/docs/source/cloud-setup/cloud-permissions/kubernetes.rst index df1d2c5e161..d337c9a2c76 100644 --- a/docs/source/cloud-setup/cloud-permissions/kubernetes.rst +++ b/docs/source/cloud-setup/cloud-permissions/kubernetes.rst @@ -96,7 +96,29 @@ SkyPilot requires permissions equivalent to the following roles to be able to ma These roles must apply to both the user account configured in the kubeconfig file and the service account used by SkyPilot (if configured). -If your tasks use object store mounting or require access to ingress resources, you will need to grant additional permissions as described below. +If you need to view real-time GPU availability with ``sky show-gpus``, your tasks use object store mounting or your tasks require access to ingress resources, you will need to grant additional permissions as described below. + +Permissions for ``sky show-gpus`` +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + +``sky show-gpus`` needs to list all pods across all namespaces to calculate GPU availability. To do this, SkyPilot needs the ``get`` and ``list`` permissions for pods in a ``ClusterRole``: + +.. code-block:: yaml + + apiVersion: rbac.authorization.k8s.io/v1 + kind: ClusterRole + metadata: + name: sky-sa-cluster-role-pod-reader + rules: + - apiGroups: [""] + resources: ["pods"] + verbs: ["get", "list"] + + +.. tip:: + + If this role is not granted to the service account, ``sky show-gpus`` will still work but it will only show the total GPUs on the nodes, not the number of free GPUs. + Permissions for Object Store Mounting ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ @@ -225,6 +247,9 @@ To create a service account that has all necessary permissions for SkyPilot (inc - apiGroups: ["networking.k8s.io"] # Required for exposing services through ingresses resources: ["ingressclasses"] verbs: ["get", "list", "watch"] + - apiGroups: [""] # Required for `sky show-gpus` command + resources: ["pods"] + verbs: ["get", "list"] --- # ClusterRoleBinding for the service account apiVersion: rbac.authorization.k8s.io/v1 diff --git a/docs/source/reference/kubernetes/kubernetes-getting-started.rst b/docs/source/reference/kubernetes/kubernetes-getting-started.rst index 99d8f56cd34..775bb21ebbd 100644 --- a/docs/source/reference/kubernetes/kubernetes-getting-started.rst +++ b/docs/source/reference/kubernetes/kubernetes-getting-started.rst @@ -296,6 +296,11 @@ FAQs volumeMounts: # Custom volume mounts for the pod - mountPath: /foo name: example-volume + resources: # Custom resource requests and limits + requests: + rdma/rdma_shared_device_a: 1 + limits: + rdma/rdma_shared_device_a: 1 volumes: - name: example-volume hostPath: diff --git a/sky/cli.py b/sky/cli.py index c74b2f3ad5d..230f43d6f90 100644 --- a/sky/cli.py +++ b/sky/cli.py @@ -3102,6 +3102,7 @@ def show_gpus( kubernetes_autoscaling = kubernetes_utils.get_autoscaler_type() is not None kubernetes_is_enabled = sky_clouds.cloud_in_iterable( sky_clouds.Kubernetes(), global_user_state.get_cached_enabled_clouds()) + no_permissions_str = '' def _list_to_str(lst): return ', '.join([str(e) for e in lst]) @@ -3146,9 +3147,11 @@ def _get_kubernetes_realtime_gpu_table( debug_msg) raise ValueError(full_err_msg) for gpu, _ in sorted(counts.items()): + available_qty = available[gpu] if available[gpu] != -1 else ( + no_permissions_str) realtime_gpu_table.add_row([ gpu, - _list_to_str(counts.pop(gpu)), capacity[gpu], available[gpu] + _list_to_str(counts.pop(gpu)), capacity[gpu], available_qty ]) return realtime_gpu_table @@ -3158,10 +3161,11 @@ def _get_kubernetes_node_info_table(context: Optional[str]): node_info_dict = kubernetes_utils.get_kubernetes_node_info(context) for node_name, node_info in node_info_dict.items(): + available = node_info.free['nvidia.com/gpu'] if node_info.free[ + 'nvidia.com/gpu'] != -1 else no_permissions_str node_table.add_row([ node_name, node_info.gpu_type, - node_info.total['nvidia.com/gpu'], - node_info.free['nvidia.com/gpu'] + node_info.total['nvidia.com/gpu'], available ]) return node_table diff --git a/sky/clouds/service_catalog/kubernetes_catalog.py b/sky/clouds/service_catalog/kubernetes_catalog.py index 7ff8f49c621..14aa8f93040 100644 --- a/sky/clouds/service_catalog/kubernetes_catalog.py +++ b/sky/clouds/service_catalog/kubernetes_catalog.py @@ -10,6 +10,7 @@ from sky import check as sky_check from sky import sky_logging from sky.adaptors import common as adaptors_common +from sky.adaptors import kubernetes from sky.clouds import Kubernetes from sky.clouds.service_catalog import CloudFilter from sky.clouds.service_catalog import common @@ -22,6 +23,8 @@ else: pd = adaptors_common.LazyImport('pandas') +logger = sky_logging.init_logger(__name__) + _PULL_FREQUENCY_HOURS = 7 # We keep pull_frequency_hours so we can remotely update the default image paths @@ -77,6 +80,11 @@ def list_accelerators_realtime( require_price: bool = True ) -> Tuple[Dict[str, List[common.InstanceTypeInfo]], Dict[str, int], Dict[str, int]]: + """List accelerators in the Kubernetes cluster. + + If the user does not have sufficient permissions to list pods in all + namespaces, the function will return free GPUs as -1. + """ # TODO(romilb): This should be refactored to use get_kubernetes_node_info() # function from kubernetes_utils. del all_regions, require_price # Unused. @@ -108,7 +116,17 @@ def list_accelerators_realtime( key = label_formatter.get_label_key() nodes = kubernetes_utils.get_kubernetes_nodes(context) # Get the pods to get the real-time GPU usage - pods = kubernetes_utils.get_all_pods_in_kubernetes_cluster(context) + try: + pods = kubernetes_utils.get_all_pods_in_kubernetes_cluster(context) + except kubernetes.api_exception() as e: + if e.status == 403: + logger.warning('Failed to get pods in the Kubernetes cluster ' + '(forbidden). Please check if your account has ' + 'necessary permissions to list pods. Realtime GPU ' + 'availability information may be incorrect.') + pods = None + else: + raise # Total number of GPUs in the cluster total_accelerators_capacity: Dict[str, int] = {} # Total number of GPUs currently available in the cluster @@ -141,6 +159,21 @@ def list_accelerators_realtime( if accelerator_count not in accelerators_qtys: accelerators_qtys.add((accelerator_name, accelerator_count)) + if accelerator_count >= min_quantity_filter: + quantized_count = (min_quantity_filter * + (accelerator_count // min_quantity_filter)) + if accelerator_name not in total_accelerators_capacity: + total_accelerators_capacity[ + accelerator_name] = quantized_count + else: + total_accelerators_capacity[ + accelerator_name] += quantized_count + + if pods is None: + # If we can't get the pods, we can't get the GPU usage + total_accelerators_available[accelerator_name] = -1 + continue + for pod in pods: # Get all the pods running on the node if (pod.spec.node_name == node.metadata.name and @@ -155,16 +188,6 @@ def list_accelerators_realtime( accelerators_available = accelerator_count - allocated_qty - if accelerator_count >= min_quantity_filter: - quantized_count = (min_quantity_filter * - (accelerator_count // min_quantity_filter)) - if accelerator_name not in total_accelerators_capacity: - total_accelerators_capacity[ - accelerator_name] = quantized_count - else: - total_accelerators_capacity[ - accelerator_name] += quantized_count - if accelerator_name not in total_accelerators_available: total_accelerators_available[accelerator_name] = 0 if accelerators_available >= min_quantity_filter: diff --git a/sky/provision/kubernetes/utils.py b/sky/provision/kubernetes/utils.py index 0156c4d1091..cba6c9987c9 100644 --- a/sky/provision/kubernetes/utils.py +++ b/sky/provision/kubernetes/utils.py @@ -1801,13 +1801,22 @@ def get_kubernetes_node_info( number of GPUs available on the node and the number of free GPUs on the node. + If the user does not have sufficient permissions to list pods in all + namespaces, the function will return free GPUs as -1. + Returns: Dict[str, KubernetesNodeInfo]: Dictionary containing the node name as key and the KubernetesNodeInfo object as value """ nodes = get_kubernetes_nodes(context) # Get the pods to get the real-time resource usage - pods = get_all_pods_in_kubernetes_cluster(context) + try: + pods = get_all_pods_in_kubernetes_cluster(context) + except kubernetes.api_exception() as e: + if e.status == 403: + pods = None + else: + raise label_formatter, _ = detect_gpu_label_formatter(context) if not label_formatter: @@ -1828,19 +1837,22 @@ def get_kubernetes_node_info( accelerator_count = int(node.status.allocatable.get( 'nvidia.com/gpu', 0)) - for pod in pods: - # Get all the pods running on the node - if (pod.spec.node_name == node.metadata.name and - pod.status.phase in ['Running', 'Pending']): - # Iterate over all the containers in the pod and sum the - # GPU requests - for container in pod.spec.containers: - if container.resources.requests: - allocated_qty += int( - container.resources.requests.get( - 'nvidia.com/gpu', 0)) - - accelerators_available = accelerator_count - allocated_qty + if pods is None: + accelerators_available = -1 + + else: + for pod in pods: + # Get all the pods running on the node + if (pod.spec.node_name == node.metadata.name and + pod.status.phase in ['Running', 'Pending']): + # Iterate over all the containers in the pod and sum the + # GPU requests + for container in pod.spec.containers: + if container.resources.requests: + allocated_qty += int( + container.resources.requests.get( + 'nvidia.com/gpu', 0)) + accelerators_available = accelerator_count - allocated_qty node_info_dict[node.metadata.name] = KubernetesNodeInfo( name=node.metadata.name, diff --git a/sky/utils/kubernetes/generate_kubeconfig.sh b/sky/utils/kubernetes/generate_kubeconfig.sh index 8923df9c051..8d363370597 100755 --- a/sky/utils/kubernetes/generate_kubeconfig.sh +++ b/sky/utils/kubernetes/generate_kubeconfig.sh @@ -112,6 +112,9 @@ rules: - apiGroups: ["networking.k8s.io"] # Required for exposing services through ingresses resources: ["ingressclasses"] verbs: ["get", "list", "watch"] + - apiGroups: [""] # Required for sky show-gpus command + resources: ["pods"] + verbs: ["get", "list"] --- # ClusterRoleBinding for the service account apiVersion: rbac.authorization.k8s.io/v1 From b92b47f16d80b0c14d83ab67a4fd649b0689de08 Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Tue, 12 Nov 2024 09:19:49 -0800 Subject: [PATCH 073/152] improve tracing reporting and coverage (#4331) * [tracing] report stack backtrace as part of the tracing timeline * [tracing] add tracing to more expensive functions --- sky/backends/backend_utils.py | 1 + sky/clouds/cloud.py | 2 ++ sky/jobs/core.py | 2 ++ sky/optimizer.py | 2 ++ sky/provision/__init__.py | 2 ++ sky/utils/timeline.py | 4 +++- 6 files changed, 12 insertions(+), 1 deletion(-) diff --git a/sky/backends/backend_utils.py b/sky/backends/backend_utils.py index e4633ef0671..9d797609571 100644 --- a/sky/backends/backend_utils.py +++ b/sky/backends/backend_utils.py @@ -1418,6 +1418,7 @@ def check_network_connection(): 'Network seems down.') from e +@timeline.event def check_owner_identity(cluster_name: str) -> None: """Check if current user is the same as the user who created the cluster. diff --git a/sky/clouds/cloud.py b/sky/clouds/cloud.py index 4028c1fef59..d8e6deac4f4 100644 --- a/sky/clouds/cloud.py +++ b/sky/clouds/cloud.py @@ -18,6 +18,7 @@ from sky.clouds import service_catalog from sky.utils import log_utils from sky.utils import resources_utils +from sky.utils import timeline from sky.utils import ux_utils if typing.TYPE_CHECKING: @@ -366,6 +367,7 @@ def is_label_valid(cls, label_key: str, del label_key, label_value return True, None + @timeline.event def get_feasible_launchable_resources( self, resources: 'resources_lib.Resources', diff --git a/sky/jobs/core.py b/sky/jobs/core.py index 9532bd0fa19..5bf3da2d023 100644 --- a/sky/jobs/core.py +++ b/sky/jobs/core.py @@ -26,9 +26,11 @@ from sky.utils import dag_utils from sky.utils import rich_utils from sky.utils import subprocess_utils +from sky.utils import timeline from sky.utils import ux_utils +@timeline.event @usage_lib.entrypoint def launch( task: Union['sky.Task', 'sky.Dag'], diff --git a/sky/optimizer.py b/sky/optimizer.py index 0f931e15079..2f70dd39429 100644 --- a/sky/optimizer.py +++ b/sky/optimizer.py @@ -22,6 +22,7 @@ from sky.utils import resources_utils from sky.utils import rich_utils from sky.utils import subprocess_utils +from sky.utils import timeline from sky.utils import ux_utils if typing.TYPE_CHECKING: @@ -105,6 +106,7 @@ def _egress_time(src_cloud: clouds.Cloud, dst_cloud: clouds.Cloud, return egress_time @staticmethod + @timeline.event def optimize(dag: 'dag_lib.Dag', minimize: OptimizeTarget = OptimizeTarget.COST, blocked_resources: Optional[Iterable[ diff --git a/sky/provision/__init__.py b/sky/provision/__init__.py index 76f93d536d0..02a627b08a3 100644 --- a/sky/provision/__init__.py +++ b/sky/provision/__init__.py @@ -24,6 +24,7 @@ from sky.provision import runpod from sky.provision import vsphere from sky.utils import command_runner +from sky.utils import timeline logger = sky_logging.init_logger(__name__) @@ -59,6 +60,7 @@ def _wrapper(*args, **kwargs): # pylint: disable=unused-argument +@timeline.event @_route_to_cloud_impl def query_instances( provider_name: str, diff --git a/sky/utils/timeline.py b/sky/utils/timeline.py index 29c6c3d94ee..f7244bd9ab2 100644 --- a/sky/utils/timeline.py +++ b/sky/utils/timeline.py @@ -9,6 +9,7 @@ import os import threading import time +import traceback from typing import Callable, Optional, Union import filelock @@ -48,8 +49,9 @@ def begin(self): 'ph': 'B', 'ts': f'{time.time() * 10 ** 6: .3f}', }) + event_begin['args'] = {'stack': '\n'.join(traceback.format_stack())} if self._message is not None: - event_begin['args'] = {'message': self._message} + event_begin['args']['message'] = self._message _events.append(event_begin) def end(self): From 2030398e0620fb061f7fbb0724ab44529753a773 Mon Sep 17 00:00:00 2001 From: Andy Lee Date: Tue, 12 Nov 2024 16:19:57 -0800 Subject: [PATCH 074/152] Refactor: Consolidate log streaming logic into centralized `log_utils.follow_logs()` (#4323) * refactor: generalize log streaming from `serve_utils._follow_logs` into centralized `log_utils.follow_logs` * fix: no yield if its a provision log line * refactor: naming and if-indent --- sky/serve/serve_utils.py | 157 ++++++++++++++++++++------------------- sky/skylet/log_lib.py | 5 +- sky/utils/log_utils.py | 53 ++++++++++++- 3 files changed, 132 insertions(+), 83 deletions(-) diff --git a/sky/serve/serve_utils.py b/sky/serve/serve_utils.py index 6e7b6f6eb4a..3be41cc1593 100644 --- a/sky/serve/serve_utils.py +++ b/sky/serve/serve_utils.py @@ -592,15 +592,26 @@ def get_latest_version_with_min_replicas( def _follow_replica_logs( - file: TextIO, - cluster_name: str, - *, - finish_stream: Callable[[], bool], - exit_if_stream_end: bool = False, - no_new_content_timeout: Optional[int] = None) -> Iterator[str]: - line = '' - log_file = None - no_new_content_cnt = 0 + file: TextIO, + cluster_name: str, + *, + should_stop: Callable[[], bool], + stop_on_eof: bool = False, + idle_timeout_seconds: Optional[int] = None, +) -> Iterator[str]: + """Follows logs for a replica, handling nested log files. + + Args: + file: Log file to read from. + cluster_name: Name of the cluster being launched. + should_stop: Callback that returns True when streaming should stop. + stop_on_eof: If True, stop when reaching end of file. + idle_timeout_seconds: If set, stop after these many seconds without + new content. + + Yields: + Log lines from the main file and any nested log files. + """ def cluster_is_up() -> bool: cluster_record = global_user_state.get_cluster_from_name(cluster_name) @@ -608,51 +619,52 @@ def cluster_is_up() -> bool: return False return cluster_record['status'] == status_lib.ClusterStatus.UP - while True: - tmp = file.readline() - if tmp is not None and tmp != '': - no_new_content_cnt = 0 - line += tmp - if '\n' in line or '\r' in line: - # Tailing detailed progress for user. All logs in skypilot is - # of format `To view detailed progress: tail -n100 -f *.log`. - x = re.match(_SKYPILOT_PROVISION_LOG_PATTERN, line) - if x is not None: - log_file = os.path.expanduser(x.group(1)) - elif re.match(_SKYPILOT_LOG_PATTERN, line) is None: - # Not print other logs (file sync logs) since we lack - # utility to determine when these log files are finished - # writing. - # TODO(tian): Not skip these logs since there are small - # chance that error will happen in file sync. Need to find - # a better way to do this. - yield line - # Output next line first since it indicates the process is - # starting. For our launching logs, it's always: - # Launching on () - if log_file is not None: - with open(log_file, 'r', newline='', - encoding='utf-8') as f: - # We still exit if more than 10 seconds without new - # content to avoid any internal bug that causes - # the launch failed and cluster status remains INIT. - for l in _follow_replica_logs( - f, - cluster_name, - finish_stream=cluster_is_up, - exit_if_stream_end=exit_if_stream_end, - no_new_content_timeout=10): - yield l - log_file = None - line = '' - else: - if exit_if_stream_end or finish_stream(): - break - if no_new_content_timeout is not None: - if no_new_content_cnt >= no_new_content_timeout: - break - no_new_content_cnt += 1 - time.sleep(1) + def process_line(line: str) -> Iterator[str]: + # Tailing detailed progress for user. All logs in skypilot is + # of format `To view detailed progress: tail -n100 -f *.log`. + # Check if the line is directing users to view logs + provision_log_prompt = re.match(_SKYPILOT_PROVISION_LOG_PATTERN, line) + other_log_prompt = re.match(_SKYPILOT_LOG_PATTERN, line) + + if provision_log_prompt is not None: + nested_log_path = os.path.expanduser(provision_log_prompt.group(1)) + with open(nested_log_path, 'r', newline='', encoding='utf-8') as f: + # We still exit if more than 10 seconds without new content + # to avoid any internal bug that causes the launch to fail + # while cluster status remains INIT. + # Originally, we output the next line first before printing + # the launching logs. Since the next line is always + # `Launching on ()`, we output it first + # to indicate the process is starting. + # TODO(andyl): After refactor #4323, the above logic is broken, + # but coincidentally with the new UX 3.0, the `Cluster launched` + # message is printed first, making the output appear correct. + # Explaining this since it's technically a breaking change + # for this refactor PR #4323. Will remove soon in a fix PR + # for adapting the serve.follow_logs to the new UX. + yield from _follow_replica_logs(f, + cluster_name, + should_stop=cluster_is_up, + stop_on_eof=stop_on_eof, + idle_timeout_seconds=10) + return + + if other_log_prompt is not None: + # Now we skip other logs (file sync logs) since we lack + # utility to determine when these log files are finished + # writing. + # TODO(tian): We should not skip these logs since there are + # small chance that error will happen in file sync. Need to + # find a better way to do this. + return + + yield line + + return log_utils.follow_logs(file, + should_stop=should_stop, + stop_on_eof=stop_on_eof, + process_line=process_line, + idle_timeout_seconds=idle_timeout_seconds) def stream_replica_logs(service_name: str, replica_id: int, @@ -687,14 +699,17 @@ def _get_replica_status() -> serve_state.ReplicaStatus: raise ValueError( _FAILED_TO_FIND_REPLICA_MSG.format(replica_id=replica_id)) - finish_stream = ( + replica_provisioned = ( lambda: _get_replica_status() != serve_state.ReplicaStatus.PROVISIONING) with open(launch_log_file_name, 'r', newline='', encoding='utf-8') as f: - for line in _follow_replica_logs(f, - replica_cluster_name, - finish_stream=finish_stream, - exit_if_stream_end=not follow): + for line in _follow_replica_logs( + f, + replica_cluster_name, + should_stop=replica_provisioned, + stop_on_eof=not follow, + ): print(line, end='', flush=True) + if (not follow and _get_replica_status() == serve_state.ReplicaStatus.PROVISIONING): # Early exit if not following the logs. @@ -719,22 +734,6 @@ def _get_replica_status() -> serve_state.ReplicaStatus: return '' -def _follow_logs(file: TextIO, *, finish_stream: Callable[[], bool], - exit_if_stream_end: bool) -> Iterator[str]: - line = '' - while True: - tmp = file.readline() - if tmp is not None and tmp != '': - line += tmp - if '\n' in line or '\r' in line: - yield line - line = '' - else: - if exit_if_stream_end or finish_stream(): - break - time.sleep(1) - - def stream_serve_process_logs(service_name: str, stream_controller: bool, follow: bool) -> str: msg = check_service_status_healthy(service_name) @@ -753,9 +752,11 @@ def _service_is_terminal() -> bool: with open(os.path.expanduser(log_file), 'r', newline='', encoding='utf-8') as f: - for line in _follow_logs(f, - finish_stream=_service_is_terminal, - exit_if_stream_end=not follow): + for line in log_utils.follow_logs( + f, + should_stop=_service_is_terminal, + stop_on_eof=not follow, + ): print(line, end='', flush=True) return '' diff --git a/sky/skylet/log_lib.py b/sky/skylet/log_lib.py index 391fa8c4fe5..ac5b9d5ee16 100644 --- a/sky/skylet/log_lib.py +++ b/sky/skylet/log_lib.py @@ -320,11 +320,8 @@ def run_bash_command_with_log(bash_command: str, # Need this `-i` option to make sure `source ~/.bashrc` work. inner_command = f'/bin/bash -i {script_path}' - subprocess_cmd: Union[str, List[str]] - subprocess_cmd = inner_command - return run_with_log( - subprocess_cmd, + inner_command, log_path, stream_logs=stream_logs, with_ray=with_ray, diff --git a/sky/utils/log_utils.py b/sky/utils/log_utils.py index e116f36819e..a5884333609 100644 --- a/sky/utils/log_utils.py +++ b/sky/utils/log_utils.py @@ -1,7 +1,8 @@ """Logging utils.""" import enum +import time import types -from typing import List, Optional, Type +from typing import Callable, Iterator, List, Optional, TextIO, Type import colorama import pendulum @@ -284,3 +285,53 @@ def readable_time_duration(start: Optional[float], diff = diff.replace('hour', 'hr') return diff + + +def follow_logs( + file: TextIO, + *, + should_stop: Callable[[], bool], + stop_on_eof: bool = False, + process_line: Optional[Callable[[str], Iterator[str]]] = None, + idle_timeout_seconds: Optional[int] = None, +) -> Iterator[str]: + """Streams and processes logs line by line from a file. + + Args: + file: File object to read logs from. + should_stop: Callback that returns True when streaming should stop. + stop_on_eof: If True, stop when reaching end of file. + process_line: Optional callback to transform/filter each line. + idle_timeout_seconds: If set, stop after these many seconds without + new content. + + Yields: + Log lines, possibly transformed by process_line if provided. + """ + current_line: str = '' + seconds_without_content: int = 0 + + while True: + content = file.readline() + + if not content: + if stop_on_eof or should_stop(): + break + + if idle_timeout_seconds is not None: + if seconds_without_content >= idle_timeout_seconds: + break + seconds_without_content += 1 + + time.sleep(1) + continue + + seconds_without_content = 0 + current_line += content + + if '\n' in current_line or '\r' in current_line: + if process_line is not None: + yield from process_line(current_line) + else: + yield current_line + current_line = '' From eea13cc624a10bd4319eace0f48dcceb9d0287cd Mon Sep 17 00:00:00 2001 From: Doyoung Kim <34902420+landscapepainter@users.noreply.github.com> Date: Tue, 12 Nov 2024 20:23:52 -0800 Subject: [PATCH 075/152] [k8s] On-demand single-host TPU support on GKE (#3947) * initial version of TPU support on GKE * revert unnecesary change * revert * use TPU_LABEL_KEY constant * nit * nit * update detect_gpu_label_formatter() to use match_label_key() * tidy get_gpu_label_key_value * nit * update method name * update get_gke_accelerator_name to support TPU * add support for get_label_keys method due to TPU label key * syntax * update get_tpu_topology_label_key_value * nit * refactor error surfacing methods to have it work with TPU support * update toleration comment * support listing available TPUs and show-gpus for TPUs * nit * update help message * Update /tmp/tpu_logs dir's write permission * nit * nit * comment update on TPU resource lackage error handling * Update to use global constant instead of hard coded string of nvidia.com/gpu and google.com/tpu * add smoke test and make exec work on TPU pods * update smoke test to check if TPU is reachable. * add comment * nit * Comment on number of requested TPU chips for multi- and single- host TPU slice. * update method to check GKE supported TPU name * nit * move is_tpu_pod_slice to kubernetes_utils * update get_accelerator_from_label_value to use is_tpu_pod_slice method * nit * format * nit * check acc count support * preemptive TPU check * update check_tpu_fits * error msg update * merge get_tpu_topology_label_key_value into get_gpu_label_key_value * Update sky/provision/kubernetes/utils.py Co-authored-by: Tian Xia * nit fixes * format * nit * Implement method for reading acc counts from node/pod object * assertion update for is_tpu_vm * Exclude multi-host TPUs to displayed from show-gpus * Notify users that multi-host TPUs are not supported from 'sky show-gpus' * format * nit * display warning message from show-gpus conditionally * update sky show-gpus * update get_accelerator_label_key_value * format * format * format * update comment * resolve review comments * update tpuvm_mnist.yaml * resolve comments * update display message for show-gpus * format --------- Co-authored-by: Tian Xia --- examples/tpu/tpuvm_mnist.yaml | 4 +- sky/cli.py | 24 +- sky/clouds/kubernetes.py | 22 +- .../service_catalog/kubernetes_catalog.py | 148 +++--- sky/clouds/utils/gcp_utils.py | 6 +- sky/provision/kubernetes/instance.py | 180 ++++--- sky/provision/kubernetes/utils.py | 449 ++++++++++++++---- sky/resources.py | 65 +-- sky/templates/kubernetes-ray.yml.j2 | 32 +- sky/utils/kubernetes/gpu_labeler.py | 4 +- tests/common.py | 5 +- tests/test_smoke.py | 19 + 12 files changed, 691 insertions(+), 267 deletions(-) diff --git a/examples/tpu/tpuvm_mnist.yaml b/examples/tpu/tpuvm_mnist.yaml index d1fd434fad6..41b14283fac 100644 --- a/examples/tpu/tpuvm_mnist.yaml +++ b/examples/tpu/tpuvm_mnist.yaml @@ -5,7 +5,7 @@ resources: # The setup command. Will be run under the working directory. setup: | - git clone https://github.com/google/flax.git --branch v0.8.2 + git clone https://github.com/google/flax.git --branch v0.10.1 conda activate flax if [ $? -eq 0 ]; then @@ -15,7 +15,7 @@ setup: | conda activate flax # Make sure to install TPU related packages in a conda env to avoid package conflicts. pip install \ - -f https://storage.googleapis.com/jax-releases/libtpu_releases.html "jax[tpu]==0.4.25" \ + -f https://storage.googleapis.com/jax-releases/libtpu_releases.html "jax[tpu]==0.4.35" \ clu \ tensorflow tensorflow-datasets pip install -e flax diff --git a/sky/cli.py b/sky/cli.py index 230f43d6f90..490749d1231 100644 --- a/sky/cli.py +++ b/sky/cli.py @@ -3143,7 +3143,8 @@ def _get_kubernetes_realtime_gpu_table( 'in Kubernetes cluster. ') debug_msg = ('To show available accelerators on kubernetes,' ' run: sky show-gpus --cloud kubernetes ') - full_err_msg = (err_msg + kubernetes_utils.NO_GPU_HELP_MESSAGE + + full_err_msg = (err_msg + + kubernetes_utils.NO_ACCELERATOR_HELP_MESSAGE + debug_msg) raise ValueError(full_err_msg) for gpu, _ in sorted(counts.items()): @@ -3161,11 +3162,12 @@ def _get_kubernetes_node_info_table(context: Optional[str]): node_info_dict = kubernetes_utils.get_kubernetes_node_info(context) for node_name, node_info in node_info_dict.items(): - available = node_info.free['nvidia.com/gpu'] if node_info.free[ - 'nvidia.com/gpu'] != -1 else no_permissions_str + available = node_info.free[ + 'accelerators_available'] if node_info.free[ + 'accelerators_available'] != -1 else no_permissions_str node_table.add_row([ - node_name, node_info.gpu_type, - node_info.total['nvidia.com/gpu'], available + node_name, node_info.accelerator_type, + node_info.total['accelerator_count'], available ]) return node_table @@ -3220,8 +3222,18 @@ def _output(): yield from k8s_realtime_table.get_string() k8s_node_table = _get_kubernetes_node_info_table(context) yield '\n\n' + # TODO(Doyoung): Update the message with the multi-host TPU + # support. + k8s_per_node_acc_message = ( + 'Kubernetes per node accelerator availability ') + if kubernetes_utils.multi_host_tpu_exists_in_cluster( + context): + k8s_per_node_acc_message += ( + '(Note: Multi-host TPUs are detected and excluded ' + 'from the display as multi-host TPUs are not ' + 'supported.)') yield (f'{colorama.Fore.CYAN}{colorama.Style.BRIGHT}' - f'Kubernetes per node GPU availability' + f'{k8s_per_node_acc_message}' f'{colorama.Style.RESET_ALL}\n') yield from k8s_node_table.get_string() if kubernetes_autoscaling: diff --git a/sky/clouds/kubernetes.py b/sky/clouds/kubernetes.py index d930a24271f..5e1b46d52eb 100644 --- a/sky/clouds/kubernetes.py +++ b/sky/clouds/kubernetes.py @@ -362,11 +362,23 @@ def make_deploy_resources_variables( k8s_acc_label_key = None k8s_acc_label_value = None + k8s_topology_label_key = None + k8s_topology_label_value = None + k8s_resource_key = None + tpu_requested = False - # If GPUs are requested, set node label to match the GPU type. + # If GPU/TPUs are requested, set node label to match the GPU/TPU type. if acc_count > 0 and acc_type is not None: - k8s_acc_label_key, k8s_acc_label_value = \ - kubernetes_utils.get_gpu_label_key_value(context, acc_type) + (k8s_acc_label_key, k8s_acc_label_value, k8s_topology_label_key, + k8s_topology_label_value) = ( + kubernetes_utils.get_accelerator_label_key_value( + context, acc_type, acc_count)) + if (k8s_acc_label_key == + kubernetes_utils.GKELabelFormatter.TPU_LABEL_KEY): + tpu_requested = True + k8s_resource_key = kubernetes_utils.TPU_RESOURCE_KEY + else: + k8s_resource_key = kubernetes_utils.GPU_RESOURCE_KEY port_mode = network_utils.get_port_mode(None) @@ -428,6 +440,10 @@ def make_deploy_resources_variables( 'k8s_skypilot_system_namespace': _SKYPILOT_SYSTEM_NAMESPACE, 'k8s_spot_label_key': spot_label_key, 'k8s_spot_label_value': spot_label_value, + 'tpu_requested': tpu_requested, + 'k8s_topology_label_key': k8s_topology_label_key, + 'k8s_topology_label_value': k8s_topology_label_value, + 'k8s_resource_key': k8s_resource_key, 'image_id': image_id, } diff --git a/sky/clouds/service_catalog/kubernetes_catalog.py b/sky/clouds/service_catalog/kubernetes_catalog.py index 14aa8f93040..6d11d1715e2 100644 --- a/sky/clouds/service_catalog/kubernetes_catalog.py +++ b/sky/clouds/service_catalog/kubernetes_catalog.py @@ -104,16 +104,16 @@ def list_accelerators_realtime( ) or not kubernetes_utils.check_credentials(context)[0]: return {}, {}, {} - has_gpu = kubernetes_utils.detect_gpu_resource(context) + has_gpu = kubernetes_utils.detect_accelerator_resource(context) if not has_gpu: return {}, {}, {} - label_formatter, _ = kubernetes_utils.detect_gpu_label_formatter(context) - if not label_formatter: + lf, _ = kubernetes_utils.detect_gpu_label_formatter(context) + if not lf: return {}, {}, {} accelerators_qtys: Set[Tuple[str, int]] = set() - key = label_formatter.get_label_key() + keys = lf.get_label_keys() nodes = kubernetes_utils.get_kubernetes_nodes(context) # Get the pods to get the real-time GPU usage try: @@ -134,67 +134,85 @@ def list_accelerators_realtime( min_quantity_filter = quantity_filter if quantity_filter else 1 for node in nodes: - if key in node.metadata.labels: - allocated_qty = 0 - accelerator_name = label_formatter.get_accelerator_from_label_value( - node.metadata.labels.get(key)) - - # Check if name_filter regex matches the accelerator_name - regex_flags = 0 if case_sensitive else re.IGNORECASE - if name_filter and not re.match( - name_filter, accelerator_name, flags=regex_flags): - continue - - accelerator_count = int( - node.status.allocatable.get('nvidia.com/gpu', 0)) - - # Generate the GPU quantities for the accelerators - if accelerator_name and accelerator_count > 0: - count = 1 - while count <= accelerator_count: - accelerators_qtys.add((accelerator_name, count)) - count *= 2 - # Add the accelerator count if it's not already in the set - # (e.g., if there's 12 GPUs, we should have qtys 1, 2, 4, 8, 12) - if accelerator_count not in accelerators_qtys: - accelerators_qtys.add((accelerator_name, accelerator_count)) - - if accelerator_count >= min_quantity_filter: - quantized_count = (min_quantity_filter * - (accelerator_count // min_quantity_filter)) - if accelerator_name not in total_accelerators_capacity: - total_accelerators_capacity[ - accelerator_name] = quantized_count - else: - total_accelerators_capacity[ - accelerator_name] += quantized_count - - if pods is None: - # If we can't get the pods, we can't get the GPU usage - total_accelerators_available[accelerator_name] = -1 - continue - - for pod in pods: - # Get all the pods running on the node - if (pod.spec.node_name == node.metadata.name and - pod.status.phase in ['Running', 'Pending']): - # Iterate over all the containers in the pod and sum the - # GPU requests - for container in pod.spec.containers: - if container.resources.requests: - allocated_qty += int( - container.resources.requests.get( - 'nvidia.com/gpu', 0)) - - accelerators_available = accelerator_count - allocated_qty - - if accelerator_name not in total_accelerators_available: - total_accelerators_available[accelerator_name] = 0 - if accelerators_available >= min_quantity_filter: - quantized_availability = min_quantity_filter * ( - accelerators_available // min_quantity_filter) - total_accelerators_available[ - accelerator_name] += quantized_availability + for key in keys: + if key in node.metadata.labels: + allocated_qty = 0 + accelerator_name = lf.get_accelerator_from_label_value( + node.metadata.labels.get(key)) + + # Exclude multi-host TPUs from being processed. + # TODO(Doyoung): Remove the logic when adding support for + # multi-host TPUs. + if kubernetes_utils.is_multi_host_tpu(node.metadata.labels): + continue + + # Check if name_filter regex matches the accelerator_name + regex_flags = 0 if case_sensitive else re.IGNORECASE + if name_filter and not re.match( + name_filter, accelerator_name, flags=regex_flags): + continue + + # Generate the accelerator quantities + accelerator_count = ( + kubernetes_utils.get_node_accelerator_count( + node.status.allocatable)) + + if accelerator_name and accelerator_count > 0: + # TPUs are counted in a different way compared to GPUs. + # Multi-node GPUs can be split into smaller units and be + # provisioned, but TPUs are considered as an atomic unit. + if kubernetes_utils.is_tpu_on_gke(accelerator_name): + accelerators_qtys.add( + (accelerator_name, accelerator_count)) + else: + count = 1 + while count <= accelerator_count: + accelerators_qtys.add((accelerator_name, count)) + count *= 2 + # Add the accelerator count if it's not already in the + # set (e.g., if there's 12 GPUs, we should have qtys 1, + # 2, 4, 8, 12) + if accelerator_count not in accelerators_qtys: + accelerators_qtys.add( + (accelerator_name, accelerator_count)) + + if accelerator_count >= min_quantity_filter: + quantized_count = ( + min_quantity_filter * + (accelerator_count // min_quantity_filter)) + if accelerator_name not in total_accelerators_capacity: + total_accelerators_capacity[ + accelerator_name] = quantized_count + else: + total_accelerators_capacity[ + accelerator_name] += quantized_count + + if pods is None: + # If we can't get the pods, we can't get the GPU usage + total_accelerators_available[accelerator_name] = -1 + continue + + for pod in pods: + # Get all the pods running on the node + if (pod.spec.node_name == node.metadata.name and + pod.status.phase in ['Running', 'Pending']): + # Iterate over all the containers in the pod and sum + # the GPU requests + for container in pod.spec.containers: + if container.resources.requests: + allocated_qty += ( + kubernetes_utils.get_node_accelerator_count( + container.resources.requests)) + + accelerators_available = accelerator_count - allocated_qty + + if accelerator_name not in total_accelerators_available: + total_accelerators_available[accelerator_name] = 0 + if accelerators_available >= min_quantity_filter: + quantized_availability = min_quantity_filter * ( + accelerators_available // min_quantity_filter) + total_accelerators_available[ + accelerator_name] += quantized_availability result = [] diff --git a/sky/clouds/utils/gcp_utils.py b/sky/clouds/utils/gcp_utils.py index cfb893c8cb4..e899c60fa4c 100644 --- a/sky/clouds/utils/gcp_utils.py +++ b/sky/clouds/utils/gcp_utils.py @@ -17,6 +17,7 @@ from sky import sky_logging from sky import skypilot_config from sky.provision.gcp import constants +from sky.provision.kubernetes import utils as kubernetes_utils from sky.utils import subprocess_utils if typing.TYPE_CHECKING: @@ -35,7 +36,10 @@ def is_tpu(resources: Optional['resources_lib.Resources']) -> bool: def is_tpu_vm(resources: Optional['resources_lib.Resources']) -> bool: if not is_tpu(resources): return False - assert resources is not None + assert (resources is not None and len(resources.accelerators) == 1) + acc, _ = list(resources.accelerators.items())[0] + if kubernetes_utils.is_tpu_on_gke(acc): + return False if resources.accelerator_args is None: return True return resources.accelerator_args.get('tpu_vm', True) diff --git a/sky/provision/kubernetes/instance.py b/sky/provision/kubernetes/instance.py index b54575301a1..2dcf38f2365 100644 --- a/sky/provision/kubernetes/instance.py +++ b/sky/provision/kubernetes/instance.py @@ -2,7 +2,7 @@ import copy import json import time -from typing import Any, Callable, Dict, List, Optional +from typing import Any, Callable, Dict, List, Optional, Union import uuid from sky import exceptions @@ -47,6 +47,72 @@ def head_service_selector(cluster_name: str) -> Dict[str, str]: return {'component': f'{cluster_name}-head'} +def _formatted_resource_requirements(pod_or_spec: Union[Any, dict]) -> str: + # Returns a formatted string of resource requirements for a pod. + resource_requirements = {} + + if isinstance(pod_or_spec, dict): + containers = pod_or_spec.get('spec', {}).get('containers', []) + else: + containers = pod_or_spec.spec.containers + + for container in containers: + if isinstance(container, dict): + resources = container.get('resources', {}) + requests = resources.get('requests', {}) + else: + resources = container.resources + requests = resources.requests or {} + + for resource, value in requests.items(): + if resource not in resource_requirements: + resource_requirements[resource] = 0 + if resource == 'memory': + int_value = kubernetes_utils.parse_memory_resource(value) + else: + int_value = kubernetes_utils.parse_cpu_or_gpu_resource(value) + resource_requirements[resource] += int(int_value) + return ', '.join(f'{resource}={value}' + for resource, value in resource_requirements.items()) + + +def _formatted_node_selector(pod_or_spec: Union[Any, dict]) -> Optional[str]: + # Returns a formatted string of node selectors for a pod. + node_selectors = [] + + if isinstance(pod_or_spec, dict): + selectors = pod_or_spec.get('spec', {}).get('nodeSelector', {}) + else: + selectors = pod_or_spec.spec.node_selector + + if not selectors: + return None + + for label_key, label_value in selectors.items(): + node_selectors.append(f'{label_key}={label_value}') + return ', '.join(node_selectors) + + +def _lack_resource_msg(resource: str, + pod_or_spec: Union[Any, dict], + extra_msg: Optional[str] = None, + details: Optional[str] = None) -> str: + resource_requirements = _formatted_resource_requirements(pod_or_spec) + node_selectors = _formatted_node_selector(pod_or_spec) + node_selector_str = f' and labels ({node_selectors})' if ( + node_selectors) else '' + msg = (f'Insufficient {resource} capacity on the cluster. ' + f'Required resources ({resource_requirements}){node_selector_str} ' + 'were not found in a single node. Other SkyPilot tasks or pods may ' + 'be using resources. Check resource usage by running ' + '`kubectl describe nodes`.') + if extra_msg: + msg += f' {extra_msg}' + if details: + msg += f'\nFull error: {details}' + return msg + + def _raise_pod_scheduling_errors(namespace, context, new_nodes): """Raise pod scheduling failure reason. @@ -54,52 +120,6 @@ def _raise_pod_scheduling_errors(namespace, context, new_nodes): are recorded as events. This function retrieves those events and raises descriptive errors for better debugging and user feedback. """ - - def _formatted_resource_requirements(pod): - # Returns a formatted string of resource requirements for a pod. - resource_requirements = {} - for container in pod.spec.containers: - for resource, value in container.resources.requests.items(): - if resource not in resource_requirements: - resource_requirements[resource] = 0 - if resource == 'memory': - int_value = kubernetes_utils.parse_memory_resource(value) - else: - int_value = kubernetes_utils.parse_cpu_or_gpu_resource( - value) - resource_requirements[resource] += int_value - return ', '.join(f'{resource}={value}' - for resource, value in resource_requirements.items()) - - def _formatted_node_selector(pod) -> Optional[str]: - # Returns a formatted string of node selectors for a pod. - node_selectors = [] - if pod.spec.node_selector is None: - return None - for label_key, label_value in pod.spec.node_selector.items(): - node_selectors.append(f'{label_key}={label_value}') - return ', '.join(node_selectors) - - def _lack_resource_msg(resource: str, - pod, - extra_msg: Optional[str] = None, - details: Optional[str] = None) -> str: - resource_requirements = _formatted_resource_requirements(pod) - node_selectors = _formatted_node_selector(pod) - node_selector_str = f' and labels ({node_selectors})' if ( - node_selectors) else '' - msg = ( - f'Insufficient {resource} capacity on the cluster. ' - f'Required resources ({resource_requirements}){node_selector_str} ' - 'were not found in a single node. Other SkyPilot tasks or pods may ' - 'be using resources. Check resource usage by running ' - '`kubectl describe nodes`.') - if extra_msg: - msg += f' {extra_msg}' - if details: - msg += f'\nFull error: {details}' - return msg - for new_node in new_nodes: pod = kubernetes.core_api(context).read_namespaced_pod( new_node.metadata.name, namespace) @@ -148,8 +168,8 @@ def _lack_resource_msg(resource: str, '`kubectl delete pods -n skypilot-system -l name=smarter-device-manager`.' # pylint: disable=line-too-long f' Full error: {event_message}') gpu_lf_keys = [ - lf.get_label_key() - for lf in kubernetes_utils.LABEL_FORMATTER_REGISTRY + key for lf in kubernetes_utils.LABEL_FORMATTER_REGISTRY + for key in lf.get_label_keys() ] if pod.spec.node_selector: for label_key in pod.spec.node_selector.keys(): @@ -157,10 +177,24 @@ def _lack_resource_msg(resource: str, # TODO(romilb): We may have additional node # affinity selectors in the future - in that # case we will need to update this logic. - if (('Insufficient nvidia.com/gpu' - in event_message) or - ('didn\'t match Pod\'s node affinity/selector' - in event_message)): + # TODO(Doyoung): Update the error message raised + # with the multi-host TPU support. + if 'Insufficient google.com/tpu' in event_message: + extra_msg = ( + f'Verify if ' + f'{pod.spec.node_selector[label_key]}' + ' is available in the cluster. Note ' + 'that multi-host TPU podslices are ' + 'currently not unsupported.') + raise config_lib.KubernetesError( + _lack_resource_msg('TPU', + pod, + extra_msg, + details=event_message)) + elif (('Insufficient nvidia.com/gpu' + in event_message) or + ('didn\'t match Pod\'s node affinity/selector' + in event_message)): extra_msg = ( f'Verify if ' f'{pod.spec.node_selector[label_key]}' @@ -553,6 +587,20 @@ def _create_namespaced_pod_with_retries(namespace: str, pod_spec: dict, logger.info('Failed to create Pod without AppArmor annotation: ' f'{retry_exception}') raise retry_exception + # Unlike other error from resource lackage on CPU/GPU/Memory, TPU + # lackage error is raised when pod is attemtped to be created. + # TODO(Doyoung): Update the error message raised with the multi-host + # TPU support. + elif 'Invalid resource requests for google.com/tpu.' in error_message: + extra_message = ('Verify if the cluster has a TPU slice node with ' + 'a topology matching the number of TPU(s) ' + 'requested. Note that multi-host TPU podslices ' + 'are currently not unsupported.') + raise config_lib.KubernetesError( + _lack_resource_msg('TPU', + pod_spec, + details=error_message, + extra_msg=extra_message)) else: # Re-raise the exception if it's a different error raise e @@ -633,8 +681,14 @@ def _create_pods(region: str, cluster_name_on_cloud: str, 'override runtimeClassName in ~/.sky/config.yaml. ' 'For more details, refer to https://skypilot.readthedocs.io/en/latest/reference/config.html') # pylint: disable=line-too-long - needs_gpus = (pod_spec['spec']['containers'][0].get('resources', {}).get( - 'limits', {}).get('nvidia.com/gpu', 0) > 0) + needs_gpus = False + limits = pod_spec['spec']['containers'][0].get('resources', + {}).get('limits') + if limits is not None: + needs_gpus = limits.get(kubernetes_utils.GPU_RESOURCE_KEY, 0) > 0 + + # TPU pods provisioned on GKE use the default containerd runtime. + # Reference: https://cloud.google.com/kubernetes-engine/docs/how-to/migrate-containerd#overview # pylint: disable=line-too-long if nvidia_runtime_exists and needs_gpus: pod_spec['spec']['runtimeClassName'] = 'nvidia' @@ -679,6 +733,22 @@ def _create_pods(region: str, cluster_name_on_cloud: str, } } + # TPU slice nodes are given a taint, google.com/tpu=present:NoSchedule. + # This is to prevent from non-TPU workloads from being scheduled on TPU + # slice nodes. We need this toleration to allow the pod to be scheduled + # on TPU nodes. + # Reference: https://cloud.google.com/kubernetes-engine/docs/concepts/tpus#how_tpus_work # pylint: disable=line-too-long + tpu_label = kubernetes_utils.GKELabelFormatter.TPU_LABEL_KEY + if tpu_label in config.node_config.get('spec', + {}).get('nodeSelector', {}): + tpu_toleration = { + 'key': kubernetes_utils.TPU_RESOURCE_KEY, + 'operator': 'Equal', + 'value': 'present', + 'effect': 'NoSchedule' + } + pod_spec['spec']['tolerations'] = [tpu_toleration] + pod = _create_namespaced_pod_with_retries(namespace, pod_spec, context) created_pods[pod.metadata.name] = pod if head_pod_name is None: diff --git a/sky/provision/kubernetes/utils.py b/sky/provision/kubernetes/utils.py index cba6c9987c9..e5bc4228a8e 100644 --- a/sky/provision/kubernetes/utils.py +++ b/sky/provision/kubernetes/utils.py @@ -48,10 +48,18 @@ 'T': 2**40, 'P': 2**50, } -NO_GPU_HELP_MESSAGE = ('If your cluster contains GPUs, make sure ' - 'nvidia.com/gpu resource is available on the nodes and ' - 'the node labels for identifying GPUs ' - '(e.g., skypilot.co/accelerator) are setup correctly. ') + +# The resource keys used by Kubernetes to track NVIDIA GPUs and Google TPUs on +# nodes. These keys are typically used in the node's status.allocatable +# or status.capacity fields to indicate the available resources on the node. +GPU_RESOURCE_KEY = 'nvidia.com/gpu' +TPU_RESOURCE_KEY = 'google.com/tpu' + +NO_ACCELERATOR_HELP_MESSAGE = ( + 'If your cluster contains GPUs or TPUs, make sure ' + f'{GPU_RESOURCE_KEY} or {TPU_RESOURCE_KEY} resource is available ' + 'on the nodes and the node labels for identifying GPUs/TPUs ' + '(e.g., skypilot.co/accelerator) are setup correctly. ') KUBERNETES_AUTOSCALER_NOTE = ( 'Note: Kubernetes cluster autoscaling is enabled. ' @@ -74,6 +82,17 @@ PORT_FORWARD_PROXY_CMD_PATH = ('~/.sky/kubernetes-port-forward-proxy-command-' f'v{PORT_FORWARD_PROXY_CMD_VERSION}.sh') +# Mapping used to get generation for TPU accelerator name. +# https://cloud.google.com/kubernetes-engine/docs/how-to/tpus#run +GKE_TPU_ACCELERATOR_TO_GENERATION = { + 'tpu-v4-podslice': 'v4', + # Only Single-host v5e TPU configurations are allowed. + 'tpu-v5-lite-device': 'v5e', + # Multi-host compatible v5e TPU configurations allowed. + 'tpu-v5-lite-podslice': 'v5e', + 'tpu-v5p-slice': 'v5p', +} + POD_STATUSES = { 'Pending', 'Running', 'Succeeded', 'Failed', 'Unknown', 'Terminating' } @@ -96,15 +115,25 @@ class GPULabelFormatter: """ @classmethod - def get_label_key(cls) -> str: + def get_label_key(cls, accelerator: Optional[str] = None) -> str: """Returns the label key for GPU type used by the Kubernetes cluster""" raise NotImplementedError + @classmethod + def get_label_keys(cls) -> List[str]: + """Returns a list of label keys for GPU used by Kubernetes cluster.""" + raise NotImplementedError + @classmethod def get_label_value(cls, accelerator: str) -> str: """Given a GPU type, returns the label value to be used""" raise NotImplementedError + @classmethod + def match_label_key(cls, label_key: str) -> bool: + """Checks if the given label key matches the formatter's label keys""" + raise NotImplementedError + @classmethod def get_accelerator_from_label_value(cls, value: str) -> str: """Given a label value, returns the GPU type""" @@ -126,10 +155,11 @@ def validate_label_value(cls, value: str) -> Tuple[bool, str]: def get_gke_accelerator_name(accelerator: str) -> str: - """Returns the accelerator name for GKE clusters + """Returns the accelerator name for GKE clusters. Uses the format - nvidia-tesla-. - A100-80GB, H100-80GB and L4 are an exception. They use nvidia-. + A100-80GB, H100-80GB, L4 are an exception. They use nvidia-. + TPU types are an exception as well keeping the given name. """ if accelerator == 'H100': # H100 is named as H100-80GB in GKE. @@ -138,6 +168,8 @@ def get_gke_accelerator_name(accelerator: str) -> str: # A100-80GB, L4, H100-80GB and H100-MEGA-80GB # have a different name pattern. return 'nvidia-{}'.format(accelerator.lower()) + elif accelerator.startswith('tpu-'): + return accelerator else: return 'nvidia-tesla-{}'.format(accelerator.lower()) @@ -152,15 +184,23 @@ class SkyPilotLabelFormatter(GPULabelFormatter): LABEL_KEY = 'skypilot.co/accelerator' @classmethod - def get_label_key(cls) -> str: + def get_label_key(cls, accelerator: Optional[str] = None) -> str: return cls.LABEL_KEY + @classmethod + def get_label_keys(cls) -> List[str]: + return [cls.LABEL_KEY] + @classmethod def get_label_value(cls, accelerator: str) -> str: # For SkyPilot formatter, we use the accelerator str directly. # See sky.utils.kubernetes.gpu_labeler. return accelerator.lower() + @classmethod + def match_label_key(cls, label_key: str) -> bool: + return label_key == cls.LABEL_KEY + @classmethod def get_accelerator_from_label_value(cls, value: str) -> str: return value.upper() @@ -184,13 +224,21 @@ class CoreWeaveLabelFormatter(GPULabelFormatter): LABEL_KEY = 'gpu.nvidia.com/class' @classmethod - def get_label_key(cls) -> str: + def get_label_key(cls, accelerator: Optional[str] = None) -> str: return cls.LABEL_KEY + @classmethod + def get_label_keys(cls) -> List[str]: + return [cls.LABEL_KEY] + @classmethod def get_label_value(cls, accelerator: str) -> str: return accelerator.upper() + @classmethod + def match_label_key(cls, label_key: str) -> bool: + return label_key == cls.LABEL_KEY + @classmethod def get_accelerator_from_label_value(cls, value: str) -> str: return value @@ -203,11 +251,28 @@ class GKELabelFormatter(GPULabelFormatter): label, which is used to identify the GPU type. """ - LABEL_KEY = 'cloud.google.com/gke-accelerator' + GPU_LABEL_KEY = 'cloud.google.com/gke-accelerator' + TPU_LABEL_KEY = 'cloud.google.com/gke-tpu-accelerator' + ACCELERATOR_COUNT_LABEL_KEY = 'cloud.google.com/gke-accelerator-count' + TPU_TOPOLOGY_LABEL_KEY = 'cloud.google.com/gke-tpu-topology' @classmethod - def get_label_key(cls) -> str: - return cls.LABEL_KEY + def get_label_key(cls, accelerator: Optional[str] = None) -> str: + if accelerator is not None and accelerator.startswith('tpu-'): + return cls.TPU_LABEL_KEY + return cls.GPU_LABEL_KEY + + @classmethod + def get_label_keys(cls) -> List[str]: + return [cls.GPU_LABEL_KEY, cls.TPU_LABEL_KEY] + + @classmethod + def match_label_key(cls, label_key: str) -> bool: + return label_key in cls.get_label_keys() + + @classmethod + def get_tpu_topology_label_key(cls) -> str: + return cls.TPU_TOPOLOGY_LABEL_KEY @classmethod def get_label_value(cls, accelerator: str) -> str: @@ -225,6 +290,8 @@ def get_accelerator_from_label_value(cls, value: str) -> str: # to distinguish between a3-high and a3-mega instances return 'H100' return acc + elif is_tpu_on_gke(value): + return value else: raise ValueError( f'Invalid accelerator name in GKE cluster: {value}') @@ -248,9 +315,13 @@ class GFDLabelFormatter(GPULabelFormatter): LABEL_KEY = 'nvidia.com/gpu.product' @classmethod - def get_label_key(cls) -> str: + def get_label_key(cls, accelerator: Optional[str] = None) -> str: return cls.LABEL_KEY + @classmethod + def get_label_keys(cls) -> List[str]: + return [cls.LABEL_KEY] + @classmethod def get_label_value(cls, accelerator: str) -> str: """An accelerator can map to many Nvidia GFD labels @@ -258,6 +329,10 @@ def get_label_value(cls, accelerator: str) -> str: As a result, we do not support get_label_value for GFDLabelFormatter.""" raise NotImplementedError + @classmethod + def match_label_key(cls, label_key: str) -> bool: + return label_key == cls.LABEL_KEY + @classmethod def get_accelerator_from_label_value(cls, value: str) -> str: """Searches against a canonical list of NVIDIA GPUs and pattern @@ -335,10 +410,9 @@ def detect_gpu_label_formatter( # Check if the node labels contain any of the GPU label prefixes for lf in LABEL_FORMATTER_REGISTRY: - label_key = lf.get_label_key() for _, label_list in node_labels.items(): for label, _ in label_list: - if label.startswith(label_key): + if lf.match_label_key(label): label_formatter = lf() return label_formatter, node_labels @@ -346,24 +420,28 @@ def detect_gpu_label_formatter( @functools.lru_cache(maxsize=10) -def detect_gpu_resource(context: Optional[str]) -> Tuple[bool, Set[str]]: - """Checks if the Kubernetes cluster has nvidia.com/gpu resource. +def detect_accelerator_resource( + context: Optional[str]) -> Tuple[bool, Set[str]]: + """Checks if the Kubernetes cluster has GPU/TPU resource. - If nvidia.com/gpu resource is missing, that typically means that the - Kubernetes cluster does not have GPUs or the nvidia GPU operator and/or - device drivers are not installed. + Two types of accelerator resources are available which are each checked + with nvidia.com/gpu and google.com/tpu. If nvidia.com/gpu resource is + missing, that typically means that the Kubernetes cluster does not have + GPUs or the nvidia GPU operator and/or device drivers are not installed. Returns: - bool: True if the cluster has nvidia.com/gpu resource, False otherwise. + bool: True if the cluster has GPU_RESOURCE_KEY or TPU_RESOURCE_KEY + resource, False otherwise. """ # Get the set of resources across all nodes cluster_resources: Set[str] = set() nodes = get_kubernetes_nodes(context) for node in nodes: cluster_resources.update(node.status.allocatable.keys()) - has_gpu = 'nvidia.com/gpu' in cluster_resources + has_accelerator = (GPU_RESOURCE_KEY in cluster_resources or + TPU_RESOURCE_KEY in cluster_resources) - return has_gpu, cluster_resources + return has_accelerator, cluster_resources @functools.lru_cache(maxsize=10) @@ -451,16 +529,52 @@ def check_cpu_mem_fits(candidate_instance_type: 'KubernetesInstanceType', 'Maximum resources found on a single node: ' f'{max_cpu} CPUs, {common_utils.format_float(max_mem)}G Memory') + def check_tpu_fits(candidate_instance_type: 'KubernetesInstanceType', + node_list: List[Any]) -> Tuple[bool, Optional[str]]: + """Checks if the instance fits on the cluster based on requested TPU. + + It checks if the TPU type and count on each node match the required + number of TPU chips for the instance. In the case of multi-host TPU + podslice, the function ensures that the number of TPU chips on a single + node (node_tpu_chip_count) and the total TPU chips across the entire + podslice (topology_chip_count) are correctly handled. + """ + acc_type = candidate_instance_type.accelerator_type + acc_count = candidate_instance_type.accelerator_count + tpu_list_in_cluster = [] + for node in node_list: + if acc_type == node.metadata.labels[ + GKELabelFormatter.TPU_LABEL_KEY]: + # TODO(Doyoung): Update the logic when adding support for + # multi-host TPUs. + if is_multi_host_tpu(node.metadata.labels): + continue + node_tpu_chip_count = int(node.metadata.labels[ + GKELabelFormatter.ACCELERATOR_COUNT_LABEL_KEY]) + tpu_type = f'{acc_type}:{node_tpu_chip_count}' + tpu_list_in_cluster.append(tpu_type) + if node_tpu_chip_count == acc_count: + return True, None + tpu_list_in_cluster_str = ','.join(tpu_list_in_cluster) + # TODO(Doyoung): Update the error message raised with the multi-host + # TPU support. + return False, ('Requested TPU type was not found in the cluster. TPU ' + 'types found in the cluster: ' + f'{tpu_list_in_cluster_str}. Note that multi-host TPU ' + 'podslices are currently not unsupported.') + nodes = get_kubernetes_nodes(context) k8s_instance_type = KubernetesInstanceType.\ from_instance_type(instance) acc_type = k8s_instance_type.accelerator_type + acc_count = k8s_instance_type.accelerator_count if acc_type is not None: - # If GPUs are requested, check if GPU type is available, and if so, - # check if CPU and memory requirements on the specific node are met. + # If GPU/TPUs are requested, check if GPU/TPU type is available, and + # if so, check if CPU and memory requirements on the specific node are + # met. try: - gpu_label_key, gpu_label_val = get_gpu_label_key_value( - context, acc_type) + gpu_label_key, gpu_label_val, _, _ = ( + get_accelerator_label_key_value(context, acc_type, acc_count)) except exceptions.ResourcesUnavailableError as e: # If GPU not found, return empty list and error message. return False, str(e) @@ -470,6 +584,13 @@ def check_cpu_mem_fits(candidate_instance_type: 'KubernetesInstanceType', node.metadata.labels[gpu_label_key] == gpu_label_val ] assert len(gpu_nodes) > 0, 'GPU nodes not found' + if is_tpu_on_gke(acc_type): + # If requested accelerator is a TPU type, check if the cluster + # has sufficient TPU resource to meet the requirement. + fits, reason = check_tpu_fits(k8s_instance_type, gpu_nodes) + if reason is not None: + return fits, reason + candidate_nodes = gpu_nodes not_fit_reason_prefix = ( f'GPU nodes with {acc_type} do not have ' @@ -481,7 +602,7 @@ def check_cpu_mem_fits(candidate_instance_type: 'KubernetesInstanceType', f'CPU (> {k8s_instance_type.cpus} CPUs) ' 'and/or memory ' f'(> {k8s_instance_type.memory} G). ') - # Check if CPU and memory requirements are met on at least one + # Check if CPU and memory requirements are met on at least one # candidate node. fits, reason = check_cpu_mem_fits(k8s_instance_type, candidate_nodes) if not fits: @@ -492,25 +613,33 @@ def check_cpu_mem_fits(candidate_instance_type: 'KubernetesInstanceType', return fits, reason -def get_gpu_label_key_value(context: Optional[str], - acc_type: str, - check_mode=False) -> Tuple[str, str]: - """Returns the label key and value for the given GPU type. +def get_accelerator_label_key_value( + context: Optional[str], + acc_type: str, + acc_count: Optional[int], + check_mode=False +) -> Tuple[Optional[str], Optional[str], Optional[str], Optional[str]]: + """Returns the label key and value for the given GPU/TPU type. Args: - acc_type: The GPU type required by the task. - check_mode: If True, only checks if the cluster has GPU resources and - labels are setup on the cluster. acc_type is ignore does not return - the label key and value. Useful for checking if GPUs are configured - correctly on the cluster without explicitly requesting a acc_type. + acc_type: The GPU/TPU type required by the task. + acc_count: Number of GPU/TPUs required by the task. + check_mode: If True, only checks if the cluster has GPU/TPU resources + and labels are setup on the cluster. acc_type is ignore does not + return the label key and value. Useful for checking if GPUs are + configured correctly on the cluster without explicitly requesting + a acc_type. Returns: - A tuple of the label key and value. Returns empty strings if check_mode - is True. + A tuple of the accelerator label key, value, topology label key, and + topology value. The topology label key and value are populated only if + the requested accelerator type is TPU. Returns None if check_mode is + True. Raises: ResourcesUnavailableError: Can be raised from the following conditions: - - The cluster does not have GPU resources (nvidia.com/gpu) - - The cluster does not have GPU labels setup correctly - - The cluster doesn't have any nodes with acc_type GPU + - The cluster does not have GPU/TPU resources + (nvidia.com/gpu, google.com/tpu) + - The cluster does not have GPU/TPU labels setup correctly + - The cluster doesn't have any nodes with acc_type GPU/TPU """ # Check if the cluster has GPU resources # TODO(romilb): This assumes the accelerator is a nvidia GPU. We @@ -529,13 +658,14 @@ def get_gpu_label_key_value(context: Optional[str], # If check mode is enabled and autoscaler is set, we can return # early since we assume the cluster autoscaler will handle GPU # node provisioning. - return '', '' + return None, None, None, None formatter = AUTOSCALER_TO_LABEL_FORMATTER.get(autoscaler_type) assert formatter is not None, ('Unsupported autoscaler type:' f' {autoscaler_type}') - return formatter.get_label_key(), formatter.get_label_value(acc_type) + return formatter.get_label_key(acc_type), formatter.get_label_value( + acc_type), None, None - has_gpus, cluster_resources = detect_gpu_resource(context) + has_gpus, cluster_resources = detect_accelerator_resource(context) if has_gpus: # Check if the cluster has GPU labels setup correctly label_formatter, node_labels = \ @@ -544,8 +674,10 @@ def get_gpu_label_key_value(context: Optional[str], # If none of the GPU labels from LABEL_FORMATTER_REGISTRY are # detected, raise error with ux_utils.print_exception_no_traceback(): - supported_formats = ', '.join( - [f.get_label_key() for f in LABEL_FORMATTER_REGISTRY]) + supported_formats = ', '.join([ + key for f in LABEL_FORMATTER_REGISTRY + for key in f.get_label_keys() + ]) suffix = '' if env_options.Options.SHOW_DEBUG_INFO.get(): suffix = f' Found node labels: {node_labels}' @@ -561,7 +693,7 @@ def get_gpu_label_key_value(context: Optional[str], # correctly setup and will behave as expected. for node_name, label_list in node_labels.items(): for label, value in label_list: - if label == label_formatter.get_label_key(): + if label_formatter.match_label_key(label): is_valid, reason = label_formatter.validate_label_value( value) if not is_valid: @@ -571,8 +703,7 @@ def get_gpu_label_key_value(context: Optional[str], if check_mode: # If check mode is enabled and we reached so far, we can # conclude that the cluster is setup correctly and return. - return '', '' - k8s_acc_label_key = label_formatter.get_label_key() + return None, None, None, None # Search in node_labels to see if any node has the requested # GPU type. # Note - this only checks if the label is available on a @@ -580,11 +711,38 @@ def get_gpu_label_key_value(context: Optional[str], # quantity is available since that is dynamic and can change # during scheduling. for node_name, label_list in node_labels.items(): + node_metadata_labels = dict(label_list) + # TODO(Doyoung): Update the logic when adding support for + # multi-host TPUs. + if is_multi_host_tpu(node_metadata_labels): + continue for label, value in label_list: - if (label == k8s_acc_label_key and + if (label_formatter.match_label_key(label) and label_formatter.get_accelerator_from_label_value( value) == acc_type): - return label, value + if is_tpu_on_gke(acc_type): + assert isinstance(label_formatter, + GKELabelFormatter) + if node_metadata_labels.get( + label_formatter.TPU_LABEL_KEY) == acc_type: + topology_label_key = ( + label_formatter.TPU_TOPOLOGY_LABEL_KEY) + topology_value = node_metadata_labels.get( + topology_label_key) + assert topology_value is not None + tpu_topology_chip_count = reduce_tpu_topology( + topology_value) + # For single-host TPUs, there aren't multiple + # different topologies that maps to identical + # number of TPU chips. + if tpu_topology_chip_count == acc_count: + return (label, value, topology_label_key, + topology_value) + else: + continue + else: + return label, value, None, None + # If no node is found with the requested acc_type, raise error with ux_utils.print_exception_no_traceback(): suffix = '' @@ -592,15 +750,19 @@ def get_gpu_label_key_value(context: Optional[str], all_labels = [] for node_name, label_list in node_labels.items(): all_labels.extend(label_list) - gpus_available = set( - v for k, v in all_labels if k == k8s_acc_label_key) - suffix = f' Available GPUs on the cluster: {gpus_available}' + acc_available = set(v for k, v in all_labels + if label_formatter.match_label_key(k)) + suffix = (' Available GPU/TPUs on the cluster: ' + f'{acc_available}') + # TODO(Doyoung): Update the error message raised with the + # multi-host TPU support. raise exceptions.ResourcesUnavailableError( 'Could not find any node in the Kubernetes cluster ' - f'with {acc_type} GPU. Please ensure at least ' - f'one node in the cluster has {acc_type} GPU and node ' - 'labels are setup correctly. ' - f'Please refer to the documentation for more. {suffix}') + f'with {acc_type}. Please ensure at least one node in the ' + f'cluster has {acc_type} and node labels are setup ' + 'correctly. Please refer to the documentration for more. ' + f'{suffix}. Note that multi-host TPU podslices are ' + 'currently not unsupported.') else: # If GPU resources are not detected, raise error with ux_utils.print_exception_no_traceback(): @@ -609,13 +771,14 @@ def get_gpu_label_key_value(context: Optional[str], suffix = (' Available resources on the cluster: ' f'{cluster_resources}') raise exceptions.ResourcesUnavailableError( - 'Could not detect GPU resources (`nvidia.com/gpu`) in ' - 'Kubernetes cluster. If this cluster contains GPUs, please ' - 'ensure GPU drivers are installed on the node. Check if the ' - 'GPUs are setup correctly by running `kubectl describe nodes` ' - 'and looking for the nvidia.com/gpu resource. ' - 'Please refer to the documentation on how ' - f'to set up GPUs.{suffix}') + f'Could not detect GPU/TPU resources ({GPU_RESOURCE_KEY!r} or ' + f'{TPU_RESOURCE_KEY!r}) in Kubernetes cluster. If this cluster' + ' contains GPUs, please ensure GPU drivers are installed on ' + 'the node. Check if the GPUs are setup correctly by running ' + '`kubectl describe nodes` and looking for the ' + f'{GPU_RESOURCE_KEY!r} or {TPU_RESOURCE_KEY!r} resource. ' + 'Please refer to the documentation on how to set up GPUs.' + f'{suffix}') def get_head_ssh_port(cluster_name: str, namespace: str, @@ -710,7 +873,10 @@ def check_credentials(context: Optional[str], # provider if their cluster GPUs are not setup correctly. gpu_msg = '' try: - _, _ = get_gpu_label_key_value(context, acc_type='', check_mode=True) + get_accelerator_label_key_value(context, + acc_type='', + acc_count=0, + check_mode=True) except exceptions.ResourcesUnavailableError as e: # If GPUs are not available, we return cluster as enabled (since it can # be a CPU-only cluster) but we also return the exception message which @@ -1787,7 +1953,7 @@ def __init__(self, obj): class KubernetesNodeInfo: """Dataclass to store Kubernetes node information.""" name: str - gpu_type: Optional[str] + accelerator_type: Optional[str] # Resources available on the node. E.g., {'nvidia.com/gpu': '2'} total: Dict[str, int] free: Dict[str, int] @@ -1818,47 +1984,54 @@ def get_kubernetes_node_info( else: raise - label_formatter, _ = detect_gpu_label_formatter(context) - if not label_formatter: + lf, _ = detect_gpu_label_formatter(context) + if not lf: label_key = None else: - label_key = label_formatter.get_label_key() + label_keys = lf.get_label_keys() node_info_dict: Dict[str, KubernetesNodeInfo] = {} - for node in nodes: - allocated_qty = 0 - if label_formatter is not None and label_key in node.metadata.labels: - accelerator_name = label_formatter.get_accelerator_from_label_value( - node.metadata.labels.get(label_key)) - else: - accelerator_name = None + for label_key in label_keys: + for node in nodes: + allocated_qty = 0 + if lf is not None and label_key in node.metadata.labels: + accelerator_name = lf.get_accelerator_from_label_value( + node.metadata.labels.get(label_key)) + else: + accelerator_name = None - accelerator_count = int(node.status.allocatable.get( - 'nvidia.com/gpu', 0)) + accelerator_count = get_node_accelerator_count( + node.status.allocatable) - if pods is None: - accelerators_available = -1 + if pods is None: + accelerators_available = -1 - else: - for pod in pods: - # Get all the pods running on the node - if (pod.spec.node_name == node.metadata.name and - pod.status.phase in ['Running', 'Pending']): - # Iterate over all the containers in the pod and sum the - # GPU requests - for container in pod.spec.containers: - if container.resources.requests: - allocated_qty += int( - container.resources.requests.get( - 'nvidia.com/gpu', 0)) - accelerators_available = accelerator_count - allocated_qty - - node_info_dict[node.metadata.name] = KubernetesNodeInfo( - name=node.metadata.name, - gpu_type=accelerator_name, - total={'nvidia.com/gpu': int(accelerator_count)}, - free={'nvidia.com/gpu': int(accelerators_available)}) + else: + for pod in pods: + # Get all the pods running on the node + if (pod.spec.node_name == node.metadata.name and + pod.status.phase in ['Running', 'Pending']): + # Iterate over all the containers in the pod and sum the + # GPU requests + for container in pod.spec.containers: + if container.resources.requests: + allocated_qty += get_node_accelerator_count( + container.resources.requests) + + accelerators_available = accelerator_count - allocated_qty + + # Exclude multi-host TPUs from being processed. + # TODO(Doyoung): Remove the logic when adding support for + # multi-host TPUs. + if is_multi_host_tpu(node.metadata.labels): + continue + + node_info_dict[node.metadata.name] = KubernetesNodeInfo( + name=node.metadata.name, + accelerator_type=accelerator_name, + total={'accelerator_count': int(accelerator_count)}, + free={'accelerators_available': int(accelerators_available)}) return node_info_dict @@ -2040,6 +2213,80 @@ def get_skypilot_pods(context: Optional[str] = None) -> List[Any]: return pods +def is_tpu_on_gke(accelerator: str) -> bool: + """Determins if the given accelerator is a TPU supported on GKE.""" + return accelerator in GKE_TPU_ACCELERATOR_TO_GENERATION + + +def get_node_accelerator_count(attribute_dict: dict) -> int: + """Retrieves the count of accelerators from a node's resource dictionary. + + This method checks the node's allocatable resources or the accelerators + already deployed on the node, using pod objects that describe resource + requests. + + Args: + attribute_dict: Containing resource information from a node, such as + allocatable or requested resources. + + Returns: + Number of accelerators allocated or available from the node. If no + resource is found, it returns 0. + """ + assert not (GPU_RESOURCE_KEY in attribute_dict and + TPU_RESOURCE_KEY in attribute_dict) + if GPU_RESOURCE_KEY in attribute_dict: + return int(attribute_dict[GPU_RESOURCE_KEY]) + elif TPU_RESOURCE_KEY in attribute_dict: + return int(attribute_dict[TPU_RESOURCE_KEY]) + return 0 + + +def reduce_tpu_topology(topology: str) -> int: + """Computes the number of TPU chips from its topology string.""" + chip_dimensions = [int(chip_count) for chip_count in topology.split('x')] + # tpu_topology_chip_count represents the total number of TPU chips in the + # entire podslice, whether it is a single-host or multi-host TPU podslice. + tpu_topology_chip_count = functools.reduce(lambda x, y: x * y, + chip_dimensions) + return tpu_topology_chip_count + + +def is_multi_host_tpu(node_metadata_labels: dict) -> bool: + """Determines whether the given node is a multi-host TPU configuration.""" + if GKELabelFormatter.TPU_LABEL_KEY in node_metadata_labels: + assert GKELabelFormatter.TPU_TOPOLOGY_LABEL_KEY in node_metadata_labels + topology_value = ( + node_metadata_labels[GKELabelFormatter.TPU_TOPOLOGY_LABEL_KEY]) + accelerator_count_label_key = ( + GKELabelFormatter.ACCELERATOR_COUNT_LABEL_KEY) + assert accelerator_count_label_key in node_metadata_labels + # node_tpu_chip_count represents the number of TPU chips + # available in this node. If the node is part of a node pool + # forming a multi-host TPU podslice, it only reflects the + # number of TPU chips in this individual node, not the entire + # multi-host TPU podslice. + node_tpu_chip_count = int( + node_metadata_labels[accelerator_count_label_key]) + topology_chip_count = reduce_tpu_topology(topology_value) + # For multi-host TPU podslices, topology_chip_count and + # node_tpu_chip_count will differ, as topology_chip_count + # reflects the total across all hosts, while + # node_tpu_chip_count reflects only the chips in a single node. + if node_tpu_chip_count != topology_chip_count: + return True + return False + + +def multi_host_tpu_exists_in_cluster(context: Optional[str] = None) -> bool: + """Checks if there exists a multi-host TPU within the cluster.""" + nodes = get_kubernetes_nodes(context) + for node in nodes: + if is_multi_host_tpu(node.metadata.labels): + return True + return False + + @dataclasses.dataclass class KubernetesSkyPilotClusterInfo: cluster_name_on_cloud: str diff --git a/sky/resources.py b/sky/resources.py index 3b33476713b..deb05a6eade 100644 --- a/sky/resources.py +++ b/sky/resources.py @@ -14,6 +14,7 @@ from sky import skypilot_config from sky.clouds import service_catalog from sky.provision import docker_utils +from sky.provision.kubernetes import utils as kubernetes_utils from sky.skylet import constants from sky.utils import accelerator_registry from sky.utils import common_utils @@ -582,36 +583,46 @@ def _set_accelerators( acc, _ = list(accelerators.items())[0] if 'tpu' in acc.lower(): if self.cloud is None: - self._cloud = clouds.GCP() - assert self.cloud.is_same_cloud( - clouds.GCP()), 'Cloud must be GCP.' + if kubernetes_utils.is_tpu_on_gke(acc): + self._cloud = clouds.Kubernetes() + else: + self._cloud = clouds.GCP() + assert (self.cloud.is_same_cloud(clouds.GCP()) or + self.cloud.is_same_cloud(clouds.Kubernetes())), ( + 'Cloud must be GCP or Kubernetes for TPU ' + 'accelerators.') + if accelerator_args is None: accelerator_args = {} + use_tpu_vm = accelerator_args.get('tpu_vm', True) - if self.instance_type is not None and use_tpu_vm: - if self.instance_type != 'TPU-VM': - with ux_utils.print_exception_no_traceback(): - raise ValueError( - 'Cannot specify instance type' - f' (got "{self.instance_type}") for TPU VM.') - if 'runtime_version' not in accelerator_args: - - def _get_default_runtime_version() -> str: - if not use_tpu_vm: - return '2.12.0' - # TPU V5 requires a newer runtime version. - if acc.startswith('tpu-v5'): - return 'v2-alpha-tpuv5' - # TPU V6e requires a newer runtime version. - if acc.startswith('tpu-v6e'): - return 'v2-alpha-tpuv6e' - return 'tpu-vm-base' - - accelerator_args['runtime_version'] = ( - _get_default_runtime_version()) - logger.info( - 'Missing runtime_version in accelerator_args, using' - f' default ({accelerator_args["runtime_version"]})') + if (self.cloud.is_same_cloud(clouds.GCP()) and + not kubernetes_utils.is_tpu_on_gke(acc)): + if 'runtime_version' not in accelerator_args: + + def _get_default_runtime_version() -> str: + if not use_tpu_vm: + return '2.12.0' + # TPU V5 requires a newer runtime version. + if acc.startswith('tpu-v5'): + return 'v2-alpha-tpuv5' + # TPU V6e requires a newer runtime version. + elif acc.startswith('tpu-v6e'): + return 'v2-alpha-tpuv6e' + return 'tpu-vm-base' + + accelerator_args['runtime_version'] = ( + _get_default_runtime_version()) + logger.info( + 'Missing runtime_version in accelerator_args, using' + f' default ({accelerator_args["runtime_version"]})') + + if self.instance_type is not None and use_tpu_vm: + if self.instance_type != 'TPU-VM': + with ux_utils.print_exception_no_traceback(): + raise ValueError( + 'Cannot specify instance type (got ' + f'{self.instance_type!r}) for TPU VM.') self._accelerators = accelerators self._accelerator_args = accelerator_args diff --git a/sky/templates/kubernetes-ray.yml.j2 b/sky/templates/kubernetes-ray.yml.j2 index 6a2a1091b98..b981ee8bf12 100644 --- a/sky/templates/kubernetes-ray.yml.j2 +++ b/sky/templates/kubernetes-ray.yml.j2 @@ -283,12 +283,15 @@ available_node_types: restartPolicy: Never - # Add node selector if GPUs are requested: + # Add node selector if GPU/TPUs are requested: {% if (k8s_acc_label_key is not none and k8s_acc_label_value is not none) or (k8s_spot_label_key is not none) %} nodeSelector: {% if k8s_acc_label_key is not none and k8s_acc_label_value is not none %} {{k8s_acc_label_key}}: {{k8s_acc_label_value}} {% endif %} + {% if k8s_topology_label_key is not none and k8s_topology_label_value is not none %} + {{k8s_topology_label_key}}: {{k8s_topology_label_value}} + {% endif %} {% if k8s_spot_label_key is not none %} {{k8s_spot_label_key}}: {{k8s_spot_label_value|tojson}} {% endif %} @@ -409,14 +412,24 @@ available_node_types: requests: cpu: {{cpus}} memory: {{memory}}G - nvidia.com/gpu: {{accelerator_count}} + {% if k8s_resource_key is not none %} + # Number of requested google.com/tpu must be equal to the total + # number of available TPU chips on the TPU slice node either it + # being a node from multi-host TPU slice or single-host TPU + # slice. Example reference: + # https://cloud.google.com/kubernetes-engine/docs/concepts/tpus#how_tpus_work + {{k8s_resource_key}}: {{accelerator_count}} + {% endif %} {% if k8s_fuse_device_required %} # Kubernetes resource exposed by the fuse device manager # https://gitlab.com/arm-research/smarter/smarter-device-manager smarter-devices/fuse: "1" {% endif %} limits: - nvidia.com/gpu: {{accelerator_count}} # Limits need to be defined for GPU requests + # Limits need to be defined for GPU/TPU requests + {% if k8s_resource_key is not none %} + {{k8s_resource_key}}: {{accelerator_count}} + {% endif %} {% if k8s_fuse_device_required %} smarter-devices/fuse: "1" {% endif %} @@ -451,6 +464,19 @@ setup_commands: sudo grep -e '^DefaultTasksMax' /etc/systemd/system.conf || (sudo bash -c 'echo "DefaultTasksMax=infinity" >> /etc/systemd/system.conf'); sudo systemctl set-property user-$(id -u $(whoami)).slice TasksMax=infinity; sudo systemctl daemon-reload; mkdir -p ~/.ssh; (grep -Pzo -q "Host \*\n StrictHostKeyChecking no" ~/.ssh/config) || printf "Host *\n StrictHostKeyChecking no\n" >> ~/.ssh/config; [ -f /etc/fuse.conf ] && sudo sed -i 's/#user_allow_other/user_allow_other/g' /etc/fuse.conf || (sudo sh -c 'echo "user_allow_other" > /etc/fuse.conf'); # This is needed for `-o allow_other` option for `goofys`; + {% if tpu_requested %} + # The /tmp/tpu_logs directory is where TPU-related logs, such as logs from + # the TPU runtime, are written. These capture runtime information about the + # TPU execution, including any warnings, errors, or general activity of + # the TPU driver. By default, the /tmp/tpu_logs directory is created with + # 755 permissions, and the user of the provisioned pod is not necessarily + # a root. Hence, we need to update the write permission so the logs can be + # properly written. + # TODO(Doyoung): Investigate to see why TPU workload fails to run without + # execution permission, such as granting 766 to log file. Check if it's a + # must and see if there's a workaround to grant minimum permission. + - sudo chmod 777 /tmp/tpu_logs; + {% endif %} # Format: `REMOTE_PATH : LOCAL_PATH` file_mounts: { diff --git a/sky/utils/kubernetes/gpu_labeler.py b/sky/utils/kubernetes/gpu_labeler.py index b00bd4f21ae..14fbbdedca5 100644 --- a/sky/utils/kubernetes/gpu_labeler.py +++ b/sky/utils/kubernetes/gpu_labeler.py @@ -101,7 +101,7 @@ def label(): # Get the list of nodes with GPUs gpu_nodes = [] for node in nodes: - if 'nvidia.com/gpu' in node.status.capacity: + if kubernetes_utils.GPU_RESOURCE_KEY in node.status.capacity: gpu_nodes.append(node) print(f'Found {len(gpu_nodes)} GPU nodes in the cluster') @@ -142,7 +142,7 @@ def label(): if len(gpu_nodes) == 0: print('No GPU nodes found in the cluster. If you have GPU nodes, ' 'please ensure that they have the label ' - '`nvidia.com/gpu: `') + f'`{kubernetes_utils.GPU_RESOURCE_KEY}: `') else: print('GPU labeling started - this may take 10 min or more to complete.' '\nTo check the status of GPU labeling jobs, run ' diff --git a/tests/common.py b/tests/common.py index d41ff3bead0..5f38cb73855 100644 --- a/tests/common.py +++ b/tests/common.py @@ -64,8 +64,9 @@ def _get_az_mappings(_): monkeypatch.setattr( 'sky.provision.kubernetes.utils.detect_gpu_label_formatter', lambda *_args, **_kwargs: [kubernetes_utils.SkyPilotLabelFormatter, {}]) - monkeypatch.setattr('sky.provision.kubernetes.utils.detect_gpu_resource', - lambda *_args, **_kwargs: [True, []]) + monkeypatch.setattr( + 'sky.provision.kubernetes.utils.detect_accelerator_resource', + lambda *_args, **_kwargs: [True, []]) monkeypatch.setattr('sky.provision.kubernetes.utils.check_instance_fits', lambda *_args, **_kwargs: [True, '']) monkeypatch.setattr('sky.provision.kubernetes.utils.get_spot_label', diff --git a/tests/test_smoke.py b/tests/test_smoke.py index 14628ccdf73..b1ccf0b7d51 100644 --- a/tests/test_smoke.py +++ b/tests/test_smoke.py @@ -1999,6 +1999,25 @@ def test_tpu_vm_pod(): run_one_test(test) +# ---------- TPU Pod Slice on GKE. ---------- +@pytest.mark.kubernetes +def test_tpu_pod_slice_gke(): + name = _get_cluster_name() + test = Test( + 'tpu_pod_slice_gke', + [ + f'sky launch -y -c {name} examples/tpu/tpuvm_mnist.yaml --cloud kubernetes --gpus tpu-v5-lite-podslice', + f'sky logs {name} 1', # Ensure the job finished. + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky exec {name} "conda activate flax; python -c \'import jax; print(jax.devices()[0].platform);\' | grep tpu || exit 1;"', # Ensure TPU is reachable. + f'sky logs {name} 2 --status' + ], + f'sky down -y {name}', + timeout=30 * 60, # can take 30 mins + ) + run_one_test(test) + + # ---------- Simple apps. ---------- @pytest.mark.no_scp # SCP does not support num_nodes > 1 yet def test_multi_hostname(generic_cloud: str): From b8416b8434dd1f2e70e2514d3cac8e7698b32088 Mon Sep 17 00:00:00 2001 From: Zongheng Yang Date: Wed, 13 Nov 2024 07:12:36 -0800 Subject: [PATCH 076/152] [Docs] Add a concept page. (#4342) --- docs/source/_static/custom.js | 2 +- docs/source/docs/index.rst | 5 +- docs/source/getting-started/sky-computing.rst | 154 ++++++++++++++++++ docs/source/images/sky-above-clouds-gen.png | Bin 0 -> 3963256 bytes 4 files changed, 158 insertions(+), 3 deletions(-) create mode 100644 docs/source/getting-started/sky-computing.rst create mode 100644 docs/source/images/sky-above-clouds-gen.png diff --git a/docs/source/_static/custom.js b/docs/source/_static/custom.js index 1fa28105186..3f7689e4d6d 100644 --- a/docs/source/_static/custom.js +++ b/docs/source/_static/custom.js @@ -25,7 +25,6 @@ document.addEventListener('DOMContentLoaded', function () { document.addEventListener('DOMContentLoaded', () => { // New items: const newItems = [ - { selector: '.caption-text', text: 'SkyServe: Model Serving' }, { selector: '.toctree-l1 > a', text: 'Managed Jobs' }, { selector: '.toctree-l1 > a', text: 'Pixtral (Mistral AI)' }, { selector: '.toctree-l1 > a', text: 'Many Parallel Jobs' }, @@ -33,6 +32,7 @@ document.addEventListener('DOMContentLoaded', () => { { selector: '.toctree-l1 > a', text: 'Llama 3.2 (Meta)' }, { selector: '.toctree-l1 > a', text: 'Admin Policy Enforcement' }, { selector: '.toctree-l1 > a', text: 'Using Existing Machines' }, + { selector: '.toctree-l1 > a', text: 'Concept: Sky Computing' }, ]; newItems.forEach(({ selector, text }) => { document.querySelectorAll(selector).forEach((el) => { diff --git a/docs/source/docs/index.rst b/docs/source/docs/index.rst index d83bf7821c3..e0260749a38 100644 --- a/docs/source/docs/index.rst +++ b/docs/source/docs/index.rst @@ -62,9 +62,9 @@ SkyPilot supports your existing GPU, TPU, and CPU workloads, with no code change Ready to get started? ---------------------- -:ref:`Install SkyPilot ` in ~1 minute. Then, launch your first dev cluster in ~5 minutes in :ref:`Quickstart `. +:ref:`Install SkyPilot ` in 1 minute. Then, launch your first dev cluster in 2 minutes in :ref:`Quickstart `. -Everything is launched within your cloud accounts, VPCs, and cluster(s). +SkyPilot is BYOC: Everything is launched within your cloud accounts, VPCs, and clusters. Contact the SkyPilot team --------------------------------- @@ -130,6 +130,7 @@ Read the research: ../getting-started/quickstart ../examples/interactive-development ../getting-started/tutorial + ../getting-started/sky-computing .. toctree:: diff --git a/docs/source/getting-started/sky-computing.rst b/docs/source/getting-started/sky-computing.rst new file mode 100644 index 00000000000..7d0fde14480 --- /dev/null +++ b/docs/source/getting-started/sky-computing.rst @@ -0,0 +1,154 @@ +.. _sky-computing: + +Concept: Sky Computing +=============================== + +SkyPilot is an open-source Sky Computing framework. + +.. figure:: ../images/sky-above-clouds-gen.png + :width: 60% + :align: center + +Problem: Cloud infra's explosive complexity +------------------------------------------- + +Today's cloud infra has exploded in complexity. +Organizations are forced to deal with a combinatorially large number of infra choices, across three dimensions: + +- **Locations**: 10s of regions and 100s of zones within a single cloud. Teams are also increasingly multi-cluster and multicloud (3+ hyperscalers, 10+ + specialized clouds). +- **Hardware**: 500+ instance types per cloud; many new accelerators (e.g., GPUs, TPUs). +- **Pricing models**: On-demand, reserved, and preemptible spot instances, each with different pricing and availability. + +The search space of ``(locations, hardware, pricing models)`` is combinatorially +large, **even within one cloud**. +It is also dynamic, since availability and pricing change over time and differ by location. +Seemingly simple tasks like "run jobs in any of my US +regions/clusters with the lowest cost" or "monitor and manage jobs on both AWS and GCP" become highly costly: + +- Valuable engineering hours are invested to mask the differences across infra choices. +- Workloads are forced to run on suboptimal choices (to heuristically simplify the search space), wasting utilization, cost savings, and capacity. + +Sky Computing +------------------------- + +To combat this, *Sky Computing* was recently proposed in two papers from UC Berkeley: +`From Cloud Computing to Sky Computing `_ and +`The Sky Above The Clouds `_ (whitepaper). + +In a nutshell, Sky Computing **combines a team's diverse cloud infra into a unified pool**, a "sky". +Sky comes with two components to simplify---and exploit---the complex search space: + +- A unified interface to run workloads on different cloud infra. +- An optimizer to find the best infra choice (cheapest & most available) for each workload. + +Both components make using complex cloud infra simple: + +- The unified Sky interface allows workloads to be specified once with the same interface, and be able to run on different infra. +- The Sky optimizer cuts across the search space to exploit the (dynamically changing) pricing and availability differences in the compute pool. + +With Sky, cloud users and their workloads gain the following benefits: + +* **Cloud is easier to use**: With the unified interface, infra is simplified & multicloud ready. +* **Lower costs**: Engineering time is saved from dealing with cloud infra. Sky optimizes the cost of each workload. Large organizations gain pricing leverage due to portability. +* **Higher capacity**: Workloads can now run on a bigger compute pool, with many choices of locations, hardware, and pricing models. + +Why does AI benefit from Sky Computing? +--------------------------------------------------- + +AI is highly **capacity and cost intensive**, many orders of magnitude more so +than prior cloud workloads. To increase capacity and reduce costs, AI teams are using compute anywhere and in whatever forms they can. + +- Locations: AI teams use a mix of hyperscalers (AWS/GCP/Azure/..), GPU + clouds (CoreWeave/Lambda/..), many regions within a cloud, and/or many + Kubernetes clusters. +- Hardware: Different GPU generations for different tasks (e.g., H100 for + training, L4 for inference); AMD GPUs; accelerators on hyperscalers (e.g., TPUs, Trainium, Inferentia). +- Pricing models: Teams use a mix of reserved, on-demand, spot GPUs to save costs. + +These choices often interleave: e.g., it is common for AI teams to use reserved H100 on cloud X for training and spot L4 on cloud Y +for large-scale batch inference. +Therefore, AI workloads inherently require managing many compute choices in the complex search space. + +Sky Computing presents a natural solution. +Sky offers AI teams **a unified interface to easily and portably run AI** on their diverse compute. +Further, Sky intelligently orchestrates across a team's AI compute choices, providing large cost savings and higher compute capacity. + +SkyPilot and Sky Computing +--------------------------------------------------- + +SkyPilot was born out of the same `UC Berkeley lab `_ that +proposed Sky Computing. +SkyPilot is Sky's first instantiation, and it was started to implement Sky Computing for one important class of workloads: AI and compute-intensive workloads. + +Over the last few years, SkyPilot has been widely adopted by ~100s of leading companies and AI teams. +While the initial development team +consisted of Berkeley PhDs/researchers, the SkyPilot community today has grown to +100+ `contributors `_ from many organizations. + +SkyPilot operates in a BYOC (Bring Your Own Cloud) model, where all resources +are launched in a user's existing cloud accounts, VPCs, and clusters. + +SkyPilot is open sourced under the permissive Apache 2 license and under +active development on `GitHub `_. + +What if I have a single cloud: Levels of Sky Computing +------------------------------------------------------ + +Just like autonomous driving has different levels of autonomy (e.g., Level 1-5), one can adopt Sky Computing and SkyPilot in increasing "levels" and benefits. + +**For users on a fixed cluster** (e.g., Kubernetes, Slurm), SkyPilot provides: + +- A simple interface to submit and manage AI workloads, tailored to AI users' ergonomics. +- Support for dev clusters, jobs, and serving on your cluster. +- Cost savings: Autostop, queueing, and higher hardware utilization. +- Future-proofness: No retooling when you add other clusters or clouds in the future. + +**For users on one cloud's single region/zone**, SkyPilot provides: + +- Auto-retry, auto-fallback provisioner: Specify many hardware fallback targets and SkyPilot will auto-optimize and auto-retry to combat GPU shortage. +- Battle-tested job recovery, including training and serving on spot instances. +- :ref:`Simple workload packaging `: Wrap your existing AI projects in a simple SkyPilot YAML and have all infra tasks handled for you. +- Plus all of the benefits above. + +**For users on one cloud's multiple regions**, SkyPilot provides: + +- Support for a single job to utilize multiple regions for GPU availability & faster recovery. +- Support for a model's replicas to span multiple regions for availability & cost savings. +- Plus all of the benefits above. + +**For users on multiple clouds or clusters**, SkyPilot + +- Combines all of your infra into a unified pool (your *Sky*), for higher utilization, cost savings, and capacity. +- Plus all of the benefits above. + + + +Learning more +--------------------------------------------------- + +Today, the systems community at UC Berkeley --- and beyond --- have +produced several follow-up projects to expand the Sky Computing stack: + +- `SkyServe `_: SkyPilot's cross-region, cross-cloud AI serving library (:ref:`user docs `). +- `Can't Be Late `_: Advanced spot instance scheduling policy for SkyPilot (NSDI '24 Best Paper). +- `Skyplane `_: Open-source tool for fast and cost-effective cross-cloud data transfer. +- `Cloudcast `_: High-throughout, cost-aware cross-region and cross-cloud multicast. +- `FogROS2 `_: Open-source cloud robotics platform leveraging Sky Computing via SkyPilot. +- …and a few more in the pipeline. + +To learn more about SkyPilot, refer to the `project announcement blog post `_, or the `SkyPilot NSDI 2023 paper +`_ and `talk +`_. + +To learn more about Sky Computing, see the `Sky Computing whitepaper `_. + + +Getting involved +--------------------------------------------------- + +**Try out SkyPilot**: Experience Sky Computing in your cloud(s) in 5 minutes via :ref:`Quickstart `. + +**Share your feedback**: Chat with the team on `SkyPilot Slack `_ or drop a note on our `GitHub `_. + +**Contributing**: We welcome contributions from the community! 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zmS~WrYg;SsO0czOm-O(|jihRBo^f}Y&s>F55Nur#oiGWT+`0{)X?!k0

          This is a demo HTML page.

          "; then success=true; break; fi; sleep 10; done; if [ "$success" = false ]; then exit 1; fi', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Web apps with custom ports on AWS. ---------- +@pytest.mark.aws +def test_aws_http_server_with_custom_ports(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'aws_http_server_with_custom_ports', + [ + f'sky launch -y -d -c {name} --cloud aws examples/http_server_with_custom_ports/task.yaml', + f'until SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}; do sleep 10; done', + # Retry a few times to avoid flakiness in ports being open. + f'ip=$(SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}); success=false; for i in $(seq 1 5); do if curl $ip | grep "

          This is a demo HTML page.

          "; then success=true; break; fi; sleep 10; done; if [ "$success" = false ]; then exit 1; fi' + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Web apps with custom ports on Azure. ---------- +@pytest.mark.azure +def test_azure_http_server_with_custom_ports(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'azure_http_server_with_custom_ports', + [ + f'sky launch -y -d -c {name} --cloud azure examples/http_server_with_custom_ports/task.yaml', + f'until SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}; do sleep 10; done', + # Retry a few times to avoid flakiness in ports being open. + f'ip=$(SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}); success=false; for i in $(seq 1 5); do if curl $ip | grep "

          This is a demo HTML page.

          "; then success=true; break; fi; sleep 10; done; if [ "$success" = false ]; then exit 1; fi' + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Web apps with custom ports on Kubernetes. ---------- +@pytest.mark.kubernetes +def test_kubernetes_http_server_with_custom_ports(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'kubernetes_http_server_with_custom_ports', + [ + f'sky launch -y -d -c {name} --cloud kubernetes examples/http_server_with_custom_ports/task.yaml', + f'until SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}; do sleep 10; done', + # Retry a few times to avoid flakiness in ports being open. + f'ip=$(SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}); success=false; for i in $(seq 1 100); do if curl $ip | grep "

          This is a demo HTML page.

          "; then success=true; break; fi; sleep 5; done; if [ "$success" = false ]; then exit 1; fi' + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Web apps with custom ports on Paperspace. ---------- +@pytest.mark.paperspace +def test_paperspace_http_server_with_custom_ports(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'paperspace_http_server_with_custom_ports', + [ + f'sky launch -y -d -c {name} --cloud paperspace examples/http_server_with_custom_ports/task.yaml', + f'until SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}; do sleep 10; done', + # Retry a few times to avoid flakiness in ports being open. + f'ip=$(SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}); success=false; for i in $(seq 1 5); do if curl $ip | grep "

          This is a demo HTML page.

          "; then success=true; break; fi; sleep 10; done; if [ "$success" = false ]; then exit 1; fi', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Web apps with custom ports on RunPod. ---------- +@pytest.mark.runpod +def test_runpod_http_server_with_custom_ports(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'runpod_http_server_with_custom_ports', + [ + f'sky launch -y -d -c {name} --cloud runpod examples/http_server_with_custom_ports/task.yaml', + f'until SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}; do sleep 10; done', + # Retry a few times to avoid flakiness in ports being open. + f'ip=$(SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}); success=false; for i in $(seq 1 5); do if curl $ip | grep "

          This is a demo HTML page.

          "; then success=true; break; fi; sleep 10; done; if [ "$success" = false ]; then exit 1; fi', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Labels from task on AWS (instance_tags) ---------- +@pytest.mark.aws +def test_task_labels_aws(): + name = smoke_tests_utils.get_cluster_name() + template_str = pathlib.Path( + 'tests/test_yamls/test_labels.yaml.j2').read_text() + template = jinja2.Template(template_str) + content = template.render(cloud='aws', region='us-east-1') + with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: + f.write(content) + f.flush() + file_path = f.name + test = smoke_tests_utils.Test( + 'task_labels_aws', + [ + f'sky launch -y -c {name} {file_path}', + # Verify with aws cli that the tags are set. + 'aws ec2 describe-instances ' + '--query "Reservations[*].Instances[*].InstanceId" ' + '--filters "Name=instance-state-name,Values=running" ' + f'--filters "Name=tag:skypilot-cluster-name,Values={name}*" ' + '--filters "Name=tag:inlinelabel1,Values=inlinevalue1" ' + '--filters "Name=tag:inlinelabel2,Values=inlinevalue2" ' + '--region us-east-1 --output text', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Labels from task on GCP (labels) ---------- +@pytest.mark.gcp +def test_task_labels_gcp(): + name = smoke_tests_utils.get_cluster_name() + template_str = pathlib.Path( + 'tests/test_yamls/test_labels.yaml.j2').read_text() + template = jinja2.Template(template_str) + content = template.render(cloud='gcp') + with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: + f.write(content) + f.flush() + file_path = f.name + test = smoke_tests_utils.Test( + 'task_labels_gcp', + [ + f'sky launch -y -c {name} {file_path}', + # Verify with gcloud cli that the tags are set + f'gcloud compute instances list --filter="name~\'^{name}\' AND ' + 'labels.inlinelabel1=\'inlinevalue1\' AND ' + 'labels.inlinelabel2=\'inlinevalue2\'" ' + '--format="value(name)" | grep .', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Labels from task on Kubernetes (labels) ---------- +@pytest.mark.kubernetes +def test_task_labels_kubernetes(): + name = smoke_tests_utils.get_cluster_name() + template_str = pathlib.Path( + 'tests/test_yamls/test_labels.yaml.j2').read_text() + template = jinja2.Template(template_str) + content = template.render(cloud='kubernetes') + with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: + f.write(content) + f.flush() + file_path = f.name + test = smoke_tests_utils.Test( + 'task_labels_kubernetes', + [ + f'sky launch -y -c {name} {file_path}', + # Verify with kubectl that the labels are set. + 'kubectl get pods ' + '--selector inlinelabel1=inlinevalue1 ' + '--selector inlinelabel2=inlinevalue2 ' + '-o jsonpath=\'{.items[*].metadata.name}\' | ' + f'grep \'^{name}\'' + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Pod Annotations on Kubernetes ---------- +@pytest.mark.kubernetes +def test_add_pod_annotations_for_autodown_with_launch(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'add_pod_annotations_for_autodown_with_launch', + [ + # Launch Kubernetes cluster with two nodes, each being head node and worker node. + # Autodown is set. + f'sky launch -y -c {name} -i 10 --down --num-nodes 2 --cpus=1 --cloud kubernetes', + # Get names of the pods containing cluster name. + f'pod_1=$(kubectl get pods -o name | grep {name} | sed -n 1p)', + f'pod_2=$(kubectl get pods -o name | grep {name} | sed -n 2p)', + # Describe the first pod and check for annotations. + 'kubectl describe pod $pod_1 | grep -q skypilot.co/autodown', + 'kubectl describe pod $pod_1 | grep -q skypilot.co/idle_minutes_to_autostop', + # Describe the second pod and check for annotations. + 'kubectl describe pod $pod_2 | grep -q skypilot.co/autodown', + 'kubectl describe pod $pod_2 | grep -q skypilot.co/idle_minutes_to_autostop' + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.kubernetes +def test_add_and_remove_pod_annotations_with_autostop(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'add_and_remove_pod_annotations_with_autostop', + [ + # Launch Kubernetes cluster with two nodes, each being head node and worker node. + f'sky launch -y -c {name} --num-nodes 2 --cpus=1 --cloud kubernetes', + # Set autodown on the cluster with 'autostop' command. + f'sky autostop -y {name} -i 20 --down', + # Get names of the pods containing cluster name. + f'pod_1=$(kubectl get pods -o name | grep {name} | sed -n 1p)', + f'pod_2=$(kubectl get pods -o name | grep {name} | sed -n 2p)', + # Describe the first pod and check for annotations. + 'kubectl describe pod $pod_1 | grep -q skypilot.co/autodown', + 'kubectl describe pod $pod_1 | grep -q skypilot.co/idle_minutes_to_autostop', + # Describe the second pod and check for annotations. + 'kubectl describe pod $pod_2 | grep -q skypilot.co/autodown', + 'kubectl describe pod $pod_2 | grep -q skypilot.co/idle_minutes_to_autostop', + # Cancel the set autodown to remove the annotations from the pods. + f'sky autostop -y {name} --cancel', + # Describe the first pod and check if annotations are removed. + '! kubectl describe pod $pod_1 | grep -q skypilot.co/autodown', + '! kubectl describe pod $pod_1 | grep -q skypilot.co/idle_minutes_to_autostop', + # Describe the second pod and check if annotations are removed. + '! kubectl describe pod $pod_2 | grep -q skypilot.co/autodown', + '! kubectl describe pod $pod_2 | grep -q skypilot.co/idle_minutes_to_autostop', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Container logs from task on Kubernetes ---------- +@pytest.mark.kubernetes +def test_container_logs_multinode_kubernetes(): + name = smoke_tests_utils.get_cluster_name() + task_yaml = 'tests/test_yamls/test_k8s_logs.yaml' + head_logs = ('kubectl get pods ' + f' | grep {name} | grep head | ' + " awk '{print $1}' | xargs -I {} kubectl logs {}") + worker_logs = ('kubectl get pods ' + f' | grep {name} | grep worker |' + " awk '{print $1}' | xargs -I {} kubectl logs {}") + with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: + test = smoke_tests_utils.Test( + 'container_logs_multinode_kubernetes', + [ + f'sky launch -y -c {name} {task_yaml} --num-nodes 2', + f'{head_logs} | wc -l | grep 9', + f'{worker_logs} | wc -l | grep 9', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.kubernetes +def test_container_logs_two_jobs_kubernetes(): + name = smoke_tests_utils.get_cluster_name() + task_yaml = 'tests/test_yamls/test_k8s_logs.yaml' + pod_logs = ('kubectl get pods ' + f' | grep {name} | grep head |' + " awk '{print $1}' | xargs -I {} kubectl logs {}") + with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: + test = smoke_tests_utils.Test( + 'test_container_logs_two_jobs_kubernetes', + [ + f'sky launch -y -c {name} {task_yaml}', + f'{pod_logs} | wc -l | grep 9', + f'sky launch -y -c {name} {task_yaml}', + f'{pod_logs} | wc -l | grep 18', + f'{pod_logs} | grep 1 | wc -l | grep 2', + f'{pod_logs} | grep 2 | wc -l | grep 2', + f'{pod_logs} | grep 3 | wc -l | grep 2', + f'{pod_logs} | grep 4 | wc -l | grep 2', + f'{pod_logs} | grep 5 | wc -l | grep 2', + f'{pod_logs} | grep 6 | wc -l | grep 2', + f'{pod_logs} | grep 7 | wc -l | grep 2', + f'{pod_logs} | grep 8 | wc -l | grep 2', + f'{pod_logs} | grep 9 | wc -l | grep 2', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.kubernetes +def test_container_logs_two_simultaneous_jobs_kubernetes(): + name = smoke_tests_utils.get_cluster_name() + task_yaml = 'tests/test_yamls/test_k8s_logs.yaml ' + pod_logs = ('kubectl get pods ' + f' | grep {name} | grep head |' + " awk '{print $1}' | xargs -I {} kubectl logs {}") + with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: + test = smoke_tests_utils.Test( + 'test_container_logs_two_simultaneous_jobs_kubernetes', + [ + f'sky launch -y -c {name}', + f'sky exec -c {name} -d {task_yaml}', + f'sky exec -c {name} -d {task_yaml}', + 'sleep 30', + f'{pod_logs} | wc -l | grep 18', + f'{pod_logs} | grep 1 | wc -l | grep 2', + f'{pod_logs} | grep 2 | wc -l | grep 2', + f'{pod_logs} | grep 3 | wc -l | grep 2', + f'{pod_logs} | grep 4 | wc -l | grep 2', + f'{pod_logs} | grep 5 | wc -l | grep 2', + f'{pod_logs} | grep 6 | wc -l | grep 2', + f'{pod_logs} | grep 7 | wc -l | grep 2', + f'{pod_logs} | grep 8 | wc -l | grep 2', + f'{pod_logs} | grep 9 | wc -l | grep 2', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Task: n=2 nodes with setups. ---------- +@pytest.mark.no_lambda_cloud # Lambda Cloud does not have V100 gpus +@pytest.mark.no_ibm # IBM cloud currently doesn't provide public image with CUDA +@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet +@pytest.mark.skip( + reason= + 'The resnet_distributed_tf_app is flaky, due to it failing to detect GPUs.') +def test_distributed_tf(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'resnet_distributed_tf_app', + [ + # NOTE: running it twice will hang (sometimes?) - an app-level bug. + f'python examples/resnet_distributed_tf_app.py {name} {generic_cloud}', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + ], + f'sky down -y {name}', + timeout=25 * 60, # 25 mins (it takes around ~19 mins) + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Testing GCP start and stop instances ---------- +@pytest.mark.gcp +def test_gcp_start_stop(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'gcp-start-stop', + [ + f'sky launch -y -c {name} examples/gcp_start_stop.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky exec {name} examples/gcp_start_stop.yaml', + f'sky logs {name} 2 --status', # Ensure the job succeeded. + f'sky exec {name} "prlimit -n --pid=\$(pgrep -f \'raylet/raylet --raylet_socket_name\') | grep \'"\'1048576 1048576\'"\'"', # Ensure the raylet process has the correct file descriptor limit. + f'sky logs {name} 3 --status', # Ensure the job succeeded. + f'sky stop -y {name}', + smoke_tests_utils.get_cmd_wait_until_cluster_status_contains( + cluster_name=name, + cluster_status=[sky.ClusterStatus.STOPPED], + timeout=40), + f'sky start -y {name} -i 1', + f'sky exec {name} examples/gcp_start_stop.yaml', + f'sky logs {name} 4 --status', # Ensure the job succeeded. + smoke_tests_utils.get_cmd_wait_until_cluster_status_contains( + cluster_name=name, + cluster_status=[ + sky.ClusterStatus.STOPPED, sky.ClusterStatus.INIT + ], + timeout=200), + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Testing Azure start and stop instances ---------- +@pytest.mark.azure +def test_azure_start_stop(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'azure-start-stop', + [ + f'sky launch -y -c {name} examples/azure_start_stop.yaml', + f'sky exec {name} examples/azure_start_stop.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky exec {name} "prlimit -n --pid=\$(pgrep -f \'raylet/raylet --raylet_socket_name\') | grep \'"\'1048576 1048576\'"\'"', # Ensure the raylet process has the correct file descriptor limit. + f'sky logs {name} 2 --status', # Ensure the job succeeded. + f'sky stop -y {name}', + f'sky start -y {name} -i 1', + f'sky exec {name} examples/azure_start_stop.yaml', + f'sky logs {name} 3 --status', # Ensure the job succeeded. + smoke_tests_utils.get_cmd_wait_until_cluster_status_contains( + cluster_name=name, + cluster_status=[ + sky.ClusterStatus.STOPPED, sky.ClusterStatus.INIT + ], + timeout=280) + + f'|| {{ ssh {name} "cat ~/.sky/skylet.log"; exit 1; }}', + ], + f'sky down -y {name}', + timeout=30 * 60, # 30 mins + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Testing Autostopping ---------- +@pytest.mark.no_fluidstack # FluidStack does not support stopping in SkyPilot implementation +@pytest.mark.no_lambda_cloud # Lambda Cloud does not support stopping instances +@pytest.mark.no_ibm # FIX(IBM) sporadically fails, as restarted workers stay uninitialized indefinitely +@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet +@pytest.mark.no_kubernetes # Kubernetes does not autostop yet +def test_autostop(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + # Azure takes ~ 7m15s (435s) to autostop a VM, so here we use 600 to ensure + # the VM is stopped. + autostop_timeout = 600 if generic_cloud == 'azure' else 250 + # Launching and starting Azure clusters can take a long time too. e.g., restart + # a stopped Azure cluster can take 7m. So we set the total timeout to 70m. + total_timeout_minutes = 70 if generic_cloud == 'azure' else 20 + test = smoke_tests_utils.Test( + 'autostop', + [ + f'sky launch -y -d -c {name} --num-nodes 2 --cloud {generic_cloud} tests/test_yamls/minimal.yaml', + f'sky autostop -y {name} -i 1', + + # Ensure autostop is set. + f'sky status | grep {name} | grep "1m"', + + # Ensure the cluster is not stopped early. + 'sleep 40', + f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep UP', + + # Ensure the cluster is STOPPED. + smoke_tests_utils.get_cmd_wait_until_cluster_status_contains( + cluster_name=name, + cluster_status=[sky.ClusterStatus.STOPPED], + timeout=autostop_timeout), + + # Ensure the cluster is UP and the autostop setting is reset ('-'). + f'sky start -y {name}', + f'sky status | grep {name} | grep -E "UP\s+-"', + + # Ensure the job succeeded. + f'sky exec {name} tests/test_yamls/minimal.yaml', + f'sky logs {name} 2 --status', + + # Test restarting the idleness timer via reset: + f'sky autostop -y {name} -i 1', # Idleness starts counting. + 'sleep 40', # Almost reached the threshold. + f'sky autostop -y {name} -i 1', # Should restart the timer. + 'sleep 40', + f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep UP', + smoke_tests_utils.get_cmd_wait_until_cluster_status_contains( + cluster_name=name, + cluster_status=[sky.ClusterStatus.STOPPED], + timeout=autostop_timeout), + + # Test restarting the idleness timer via exec: + f'sky start -y {name}', + f'sky status | grep {name} | grep -E "UP\s+-"', + f'sky autostop -y {name} -i 1', # Idleness starts counting. + 'sleep 45', # Almost reached the threshold. + f'sky exec {name} echo hi', # Should restart the timer. + 'sleep 45', + smoke_tests_utils.get_cmd_wait_until_cluster_status_contains( + cluster_name=name, + cluster_status=[sky.ClusterStatus.STOPPED], + timeout=autostop_timeout + smoke_tests_utils.BUMP_UP_SECONDS), + ], + f'sky down -y {name}', + timeout=total_timeout_minutes * 60, + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Testing Autodowning ---------- +@pytest.mark.no_fluidstack # FluidStack does not support stopping in SkyPilot implementation +@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet. Run test_scp_autodown instead. +def test_autodown(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + # Azure takes ~ 13m30s (810s) to autodown a VM, so here we use 900 to ensure + # the VM is terminated. + autodown_timeout = 900 if generic_cloud == 'azure' else 240 + total_timeout_minutes = 90 if generic_cloud == 'azure' else 20 + test = smoke_tests_utils.Test( + 'autodown', + [ + f'sky launch -y -d -c {name} --num-nodes 2 --cloud {generic_cloud} tests/test_yamls/minimal.yaml', + f'sky autostop -y {name} --down -i 1', + # Ensure autostop is set. + f'sky status | grep {name} | grep "1m (down)"', + # Ensure the cluster is not terminated early. + 'sleep 40', + f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep UP', + # Ensure the cluster is terminated. + f'sleep {autodown_timeout}', + f's=$(SKYPILOT_DEBUG=0 sky status {name} --refresh) && echo "$s" && {{ echo "$s" | grep {name} | grep "Autodowned cluster\|terminated on the cloud"; }} || {{ echo "$s" | grep {name} && exit 1 || exit 0; }}', + f'sky launch -y -d -c {name} --cloud {generic_cloud} --num-nodes 2 --down tests/test_yamls/minimal.yaml', + f'sky status | grep {name} | grep UP', # Ensure the cluster is UP. + f'sky exec {name} --cloud {generic_cloud} tests/test_yamls/minimal.yaml', + f'sky status | grep {name} | grep "1m (down)"', + f'sleep {autodown_timeout}', + # Ensure the cluster is terminated. + f's=$(SKYPILOT_DEBUG=0 sky status {name} --refresh) && echo "$s" && {{ echo "$s" | grep {name} | grep "Autodowned cluster\|terminated on the cloud"; }} || {{ echo "$s" | grep {name} && exit 1 || exit 0; }}', + f'sky launch -y -d -c {name} --cloud {generic_cloud} --num-nodes 2 --down tests/test_yamls/minimal.yaml', + f'sky autostop -y {name} --cancel', + f'sleep {autodown_timeout}', + # Ensure the cluster is still UP. + f's=$(SKYPILOT_DEBUG=0 sky status {name} --refresh) && echo "$s" && echo "$s" | grep {name} | grep UP', + ], + f'sky down -y {name}', + timeout=total_timeout_minutes * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.scp +def test_scp_autodown(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'SCP_autodown', + [ + f'sky launch -y -d -c {name} {smoke_tests_utils.SCP_TYPE} tests/test_yamls/minimal.yaml', + f'sky autostop -y {name} --down -i 1', + # Ensure autostop is set. + f'sky status | grep {name} | grep "1m (down)"', + # Ensure the cluster is not terminated early. + 'sleep 45', + f'sky status --refresh | grep {name} | grep UP', + # Ensure the cluster is terminated. + 'sleep 200', + f's=$(SKYPILOT_DEBUG=0 sky status --refresh) && printf "$s" && {{ echo "$s" | grep {name} | grep "Autodowned cluster\|terminated on the cloud"; }} || {{ echo "$s" | grep {name} && exit 1 || exit 0; }}', + f'sky launch -y -d -c {name} {smoke_tests_utils.SCP_TYPE} --down tests/test_yamls/minimal.yaml', + f'sky status | grep {name} | grep UP', # Ensure the cluster is UP. + f'sky exec {name} {smoke_tests_utils.SCP_TYPE} tests/test_yamls/minimal.yaml', + f'sky status | grep {name} | grep "1m (down)"', + 'sleep 200', + # Ensure the cluster is terminated. + f's=$(SKYPILOT_DEBUG=0 sky status --refresh) && printf "$s" && {{ echo "$s" | grep {name} | grep "Autodowned cluster\|terminated on the cloud"; }} || {{ echo "$s" | grep {name} && exit 1 || exit 0; }}', + f'sky launch -y -d -c {name} {smoke_tests_utils.SCP_TYPE} --down tests/test_yamls/minimal.yaml', + f'sky autostop -y {name} --cancel', + 'sleep 200', + # Ensure the cluster is still UP. + f's=$(SKYPILOT_DEBUG=0 sky status --refresh) && printf "$s" && echo "$s" | grep {name} | grep UP', + ], + f'sky down -y {name}', + timeout=25 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +def _get_cancel_task_with_cloud(name, cloud, timeout=15 * 60): + test = smoke_tests_utils.Test( + f'{cloud}-cancel-task', + [ + f'sky launch -c {name} examples/resnet_app.yaml --cloud {cloud} -y -d', + # Wait the GPU process to start. + 'sleep 60', + f'sky exec {name} "nvidia-smi | grep python"', + f'sky logs {name} 2 --status', # Ensure the job succeeded. + f'sky cancel -y {name} 1', + 'sleep 60', + # check if the python job is gone. + f'sky exec {name} "! nvidia-smi | grep python"', + f'sky logs {name} 3 --status', # Ensure the job succeeded. + ], + f'sky down -y {name}', + timeout=timeout, + ) + return test + + +# ---------- Testing `sky cancel` ---------- +@pytest.mark.aws +def test_cancel_aws(): + name = smoke_tests_utils.get_cluster_name() + test = _get_cancel_task_with_cloud(name, 'aws') + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +def test_cancel_gcp(): + name = smoke_tests_utils.get_cluster_name() + test = _get_cancel_task_with_cloud(name, 'gcp') + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.azure +def test_cancel_azure(): + name = smoke_tests_utils.get_cluster_name() + test = _get_cancel_task_with_cloud(name, 'azure', timeout=30 * 60) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.no_fluidstack # Fluidstack does not support V100 gpus for now +@pytest.mark.no_lambda_cloud # Lambda Cloud does not have V100 gpus +@pytest.mark.no_ibm # IBM cloud currently doesn't provide public image with CUDA +@pytest.mark.no_paperspace # Paperspace has `gnome-shell` on nvidia-smi +@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet +def test_cancel_pytorch(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'cancel-pytorch', + [ + f'sky launch -c {name} --cloud {generic_cloud} examples/resnet_distributed_torch.yaml -y -d', + # Wait the GPU process to start. + 'sleep 90', + f'sky exec {name} --num-nodes 2 "(nvidia-smi | grep python) || ' + # When run inside container/k8s, nvidia-smi cannot show process ids. + # See https://github.com/NVIDIA/nvidia-docker/issues/179 + # To work around, we check if GPU utilization is greater than 0. + f'[ \$(nvidia-smi --query-gpu=utilization.gpu --format=csv,noheader,nounits) -gt 0 ]"', + f'sky logs {name} 2 --status', # Ensure the job succeeded. + f'sky cancel -y {name} 1', + 'sleep 60', + f'sky exec {name} --num-nodes 2 "(nvidia-smi | grep \'No running process\') || ' + # Ensure Xorg is the only process running. + '[ \$(nvidia-smi | grep -A 10 Processes | grep -A 10 === | grep -v Xorg) -eq 2 ]"', + f'sky logs {name} 3 --status', # Ensure the job succeeded. + ], + f'sky down -y {name}', + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +# can't use `_get_cancel_task_with_cloud()`, as command `nvidia-smi` +# requires a CUDA public image, which IBM doesn't offer +@pytest.mark.ibm +def test_cancel_ibm(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'ibm-cancel-task', + [ + f'sky launch -y -c {name} --cloud ibm examples/minimal.yaml', + f'sky exec {name} -n {name}-1 -d "while true; do echo \'Hello SkyPilot\'; sleep 2; done"', + 'sleep 20', + f'sky queue {name} | grep {name}-1 | grep RUNNING', + f'sky cancel -y {name} 2', + f'sleep 5', + f'sky queue {name} | grep {name}-1 | grep CANCELLED', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Testing use-spot option ---------- +@pytest.mark.no_fluidstack # FluidStack does not support spot instances +@pytest.mark.no_lambda_cloud # Lambda Cloud does not support spot instances +@pytest.mark.no_paperspace # Paperspace does not support spot instances +@pytest.mark.no_ibm # IBM Cloud does not support spot instances +@pytest.mark.no_scp # SCP does not support spot instances +@pytest.mark.no_kubernetes # Kubernetes does not have a notion of spot instances +def test_use_spot(generic_cloud: str): + """Test use-spot and sky exec.""" + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'use-spot', + [ + f'sky launch -c {name} --cloud {generic_cloud} tests/test_yamls/minimal.yaml --use-spot -y', + f'sky logs {name} 1 --status', + f'sky exec {name} echo hi', + f'sky logs {name} 2 --status', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +def test_stop_gcp_spot(): + """Test GCP spot can be stopped, autostopped, restarted.""" + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'stop_gcp_spot', + [ + f'sky launch -c {name} --cloud gcp --use-spot --cpus 2+ -y -- touch myfile', + # stop should go through: + f'sky stop {name} -y', + f'sky start {name} -y', + f'sky exec {name} -- ls myfile', + f'sky logs {name} 2 --status', + f'sky autostop {name} -i0 -y', + smoke_tests_utils.get_cmd_wait_until_cluster_status_contains( + cluster_name=name, + cluster_status=[sky.ClusterStatus.STOPPED], + timeout=90), + f'sky start {name} -y', + f'sky exec {name} -- ls myfile', + f'sky logs {name} 3 --status', + # -i option at launch should go through: + f'sky launch -c {name} -i0 -y', + smoke_tests_utils.get_cmd_wait_until_cluster_status_contains( + cluster_name=name, + cluster_status=[sky.ClusterStatus.STOPPED], + timeout=120), + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Testing env ---------- +def test_inline_env(generic_cloud: str): + """Test env""" + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'test-inline-env', + [ + f'sky launch -c {name} -y --cloud {generic_cloud} --env TEST_ENV="hello world" -- "([[ ! -z \\"\$TEST_ENV\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_IPS}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_RANK}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NUM_NODES}\\" ]]) || exit 1"', + 'sleep 20', + f'sky logs {name} 1 --status', + f'sky exec {name} --env TEST_ENV2="success" "([[ ! -z \\"\$TEST_ENV2\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_IPS}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_RANK}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NUM_NODES}\\" ]]) || exit 1"', + f'sky logs {name} 2 --status', + ], + f'sky down -y {name}', + smoke_tests_utils.get_timeout(generic_cloud), + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Testing env file ---------- +def test_inline_env_file(generic_cloud: str): + """Test env""" + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'test-inline-env-file', + [ + f'sky launch -c {name} -y --cloud {generic_cloud} --env TEST_ENV="hello world" -- "([[ ! -z \\"\$TEST_ENV\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_IPS}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_RANK}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NUM_NODES}\\" ]]) || exit 1"', + f'sky logs {name} 1 --status', + f'sky exec {name} --env-file examples/sample_dotenv "([[ ! -z \\"\$TEST_ENV2\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_IPS}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_RANK}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NUM_NODES}\\" ]]) || exit 1"', + f'sky logs {name} 2 --status', + ], + f'sky down -y {name}', + smoke_tests_utils.get_timeout(generic_cloud), + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Testing custom image ---------- +@pytest.mark.aws +def test_aws_custom_image(): + """Test AWS custom image""" + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'test-aws-custom-image', + [ + f'sky launch -c {name} --retry-until-up -y tests/test_yamls/test_custom_image.yaml --cloud aws --region us-east-2 --image-id ami-062ddd90fb6f8267a', # Nvidia image + f'sky logs {name} 1 --status', + ], + f'sky down -y {name}', + timeout=30 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.kubernetes +@pytest.mark.parametrize( + 'image_id', + [ + 'docker:nvidia/cuda:11.8.0-devel-ubuntu18.04', + 'docker:ubuntu:18.04', + # Test latest image with python 3.11 installed by default. + 'docker:continuumio/miniconda3:24.1.2-0', + # Test python>=3.12 where SkyPilot should automatically create a separate + # conda env for runtime with python 3.10. + 'docker:continuumio/miniconda3:latest', + ]) +def test_kubernetes_custom_image(image_id): + """Test Kubernetes custom image""" + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'test-kubernetes-custom-image', + [ + f'sky launch -c {name} --retry-until-up -y tests/test_yamls/test_custom_image.yaml --cloud kubernetes --image-id {image_id} --region None --gpus T4:1', + f'sky logs {name} 1 --status', + # Try exec to run again and check if the logs are printed + f'sky exec {name} tests/test_yamls/test_custom_image.yaml --cloud kubernetes --image-id {image_id} --region None --gpus T4:1 | grep "Hello 100"', + # Make sure ssh is working with custom username + f'ssh {name} echo hi | grep hi', + ], + f'sky down -y {name}', + timeout=30 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.azure +def test_azure_start_stop_two_nodes(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'azure-start-stop-two-nodes', + [ + f'sky launch --num-nodes=2 -y -c {name} examples/azure_start_stop.yaml', + f'sky exec --num-nodes=2 {name} examples/azure_start_stop.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky stop -y {name}', + f'sky start -y {name} -i 1', + f'sky exec --num-nodes=2 {name} examples/azure_start_stop.yaml', + f'sky logs {name} 2 --status', # Ensure the job succeeded. + smoke_tests_utils.get_cmd_wait_until_cluster_status_contains( + cluster_name=name, + cluster_status=[ + sky.ClusterStatus.INIT, sky.ClusterStatus.STOPPED + ], + timeout=200 + smoke_tests_utils.BUMP_UP_SECONDS) + + f'|| {{ ssh {name} "cat ~/.sky/skylet.log"; exit 1; }}' + ], + f'sky down -y {name}', + timeout=30 * 60, # 30 mins (it takes around ~23 mins) + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Testing env for disk tier ---------- +@pytest.mark.aws +def test_aws_disk_tier(): + + def _get_aws_query_command(region, instance_id, field, expected): + return (f'aws ec2 describe-volumes --region {region} ' + f'--filters Name=attachment.instance-id,Values={instance_id} ' + f'--query Volumes[*].{field} | grep {expected} ; ') + + for disk_tier in list(resources_utils.DiskTier): + specs = AWS._get_disk_specs(disk_tier) + name = smoke_tests_utils.get_cluster_name() + '-' + disk_tier.value + name_on_cloud = common_utils.make_cluster_name_on_cloud( + name, sky.AWS.max_cluster_name_length()) + region = 'us-east-2' + test = smoke_tests_utils.Test( + 'aws-disk-tier-' + disk_tier.value, + [ + f'sky launch -y -c {name} --cloud aws --region {region} ' + f'--disk-tier {disk_tier.value} echo "hello sky"', + f'id=`aws ec2 describe-instances --region {region} --filters ' + f'Name=tag:ray-cluster-name,Values={name_on_cloud} --query ' + f'Reservations[].Instances[].InstanceId --output text`; ' + + _get_aws_query_command(region, '$id', 'VolumeType', + specs['disk_tier']) + + ('' if specs['disk_tier'] + == 'standard' else _get_aws_query_command( + region, '$id', 'Iops', specs['disk_iops'])) + + ('' if specs['disk_tier'] != 'gp3' else _get_aws_query_command( + region, '$id', 'Throughput', specs['disk_throughput'])), + ], + f'sky down -y {name}', + timeout=10 * 60, # 10 mins (it takes around ~6 mins) + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +def test_gcp_disk_tier(): + for disk_tier in list(resources_utils.DiskTier): + disk_types = [GCP._get_disk_type(disk_tier)] + name = smoke_tests_utils.get_cluster_name() + '-' + disk_tier.value + name_on_cloud = common_utils.make_cluster_name_on_cloud( + name, sky.GCP.max_cluster_name_length()) + region = 'us-west2' + instance_type_options = [''] + if disk_tier == resources_utils.DiskTier.BEST: + # Ultra disk tier requires n2 instance types to have more than 64 CPUs. + # If using default instance type, it will only enable the high disk tier. + disk_types = [ + GCP._get_disk_type(resources_utils.DiskTier.HIGH), + GCP._get_disk_type(resources_utils.DiskTier.ULTRA), + ] + instance_type_options = ['', '--instance-type n2-standard-64'] + for disk_type, instance_type_option in zip(disk_types, + instance_type_options): + test = smoke_tests_utils.Test( + 'gcp-disk-tier-' + disk_tier.value, + [ + f'sky launch -y -c {name} --cloud gcp --region {region} ' + f'--disk-tier {disk_tier.value} {instance_type_option} ', + f'name=`gcloud compute instances list --filter=' + f'"labels.ray-cluster-name:{name_on_cloud}" ' + '--format="value(name)"`; ' + f'gcloud compute disks list --filter="name=$name" ' + f'--format="value(type)" | grep {disk_type} ' + ], + f'sky down -y {name}', + timeout=6 * 60, # 6 mins (it takes around ~3 mins) + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.azure +def test_azure_disk_tier(): + for disk_tier in list(resources_utils.DiskTier): + if disk_tier == resources_utils.DiskTier.HIGH or disk_tier == resources_utils.DiskTier.ULTRA: + # Azure does not support high and ultra disk tier. + continue + type = Azure._get_disk_type(disk_tier) + name = smoke_tests_utils.get_cluster_name() + '-' + disk_tier.value + name_on_cloud = common_utils.make_cluster_name_on_cloud( + name, sky.Azure.max_cluster_name_length()) + region = 'westus2' + test = smoke_tests_utils.Test( + 'azure-disk-tier-' + disk_tier.value, + [ + f'sky launch -y -c {name} --cloud azure --region {region} ' + f'--disk-tier {disk_tier.value} echo "hello sky"', + f'az resource list --tag ray-cluster-name={name_on_cloud} --query ' + f'"[?type==\'Microsoft.Compute/disks\'].sku.name" ' + f'--output tsv | grep {type}' + ], + f'sky down -y {name}', + timeout=20 * 60, # 20 mins (it takes around ~12 mins) + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.azure +def test_azure_best_tier_failover(): + type = Azure._get_disk_type(resources_utils.DiskTier.LOW) + name = smoke_tests_utils.get_cluster_name() + name_on_cloud = common_utils.make_cluster_name_on_cloud( + name, sky.Azure.max_cluster_name_length()) + region = 'westus2' + test = smoke_tests_utils.Test( + 'azure-best-tier-failover', + [ + f'sky launch -y -c {name} --cloud azure --region {region} ' + f'--disk-tier best --instance-type Standard_D8_v5 echo "hello sky"', + f'az resource list --tag ray-cluster-name={name_on_cloud} --query ' + f'"[?type==\'Microsoft.Compute/disks\'].sku.name" ' + f'--output tsv | grep {type}', + ], + f'sky down -y {name}', + timeout=20 * 60, # 20 mins (it takes around ~12 mins) + ) + smoke_tests_utils.run_one_test(test) + + +# ------ Testing Zero Quota Failover ------ +@pytest.mark.aws +def test_aws_zero_quota_failover(): + + name = smoke_tests_utils.get_cluster_name() + region = smoke_tests_utils.get_aws_region_for_quota_failover() + + if not region: + pytest.xfail( + 'Unable to test zero quota failover optimization — quotas ' + 'for EC2 P3 instances were found on all AWS regions. Is this ' + 'expected for your account?') + return + + test = smoke_tests_utils.Test( + 'aws-zero-quota-failover', + [ + f'sky launch -y -c {name} --cloud aws --region {region} --gpus V100:8 --use-spot | grep "Found no quota"', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +def test_gcp_zero_quota_failover(): + + name = smoke_tests_utils.get_cluster_name() + region = smoke_tests_utils.get_gcp_region_for_quota_failover() + + if not region: + pytest.xfail( + 'Unable to test zero quota failover optimization — quotas ' + 'for A100-80GB GPUs were found on all GCP regions. Is this ' + 'expected for your account?') + return + + test = smoke_tests_utils.Test( + 'gcp-zero-quota-failover', + [ + f'sky launch -y -c {name} --cloud gcp --region {region} --gpus A100-80GB:1 --use-spot | grep "Found no quota"', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +def test_long_setup_run_script(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + with tempfile.NamedTemporaryFile('w', prefix='sky_app_', + suffix='.yaml') as f: + f.write( + textwrap.dedent(""" \ + setup: | + echo "start long setup" + """)) + for i in range(1024 * 200): + f.write(f' echo {i}\n') + f.write(' echo "end long setup"\n') + f.write( + textwrap.dedent(""" \ + run: | + echo "run" + """)) + for i in range(1024 * 200): + f.write(f' echo {i}\n') + f.write(' echo "end run"\n') + f.flush() + + test = smoke_tests_utils.Test( + 'long-setup-run-script', + [ + f'sky launch -y -c {name} --cloud {generic_cloud} --cpus 2+ {f.name}', + f'sky exec {name} "echo hello"', + f'sky exec {name} {f.name}', + f'sky logs {name} --status 1', + f'sky logs {name} --status 2', + f'sky logs {name} --status 3', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) diff --git a/tests/smoke_tests/test_images.py b/tests/smoke_tests/test_images.py new file mode 100644 index 00000000000..27d6a693ae6 --- /dev/null +++ b/tests/smoke_tests/test_images.py @@ -0,0 +1,407 @@ +# Smoke tests for SkyPilot for image functionality +# Default options are set in pyproject.toml +# Example usage: +# Run all tests except for AWS and Lambda Cloud +# > pytest tests/smoke_tests/test_images.py +# +# Terminate failed clusters after test finishes +# > pytest tests/smoke_tests/test_images.py --terminate-on-failure +# +# Re-run last failed tests +# > pytest --lf +# +# Run one of the smoke tests +# > pytest tests/smoke_tests/test_images.py::test_aws_images +# +# Only run test for AWS + generic tests +# > pytest tests/smoke_tests/test_images.py --aws +# +# Change cloud for generic tests to aws +# > pytest tests/smoke_tests/test_images.py --generic-cloud aws + +import pytest +from smoke_tests import smoke_tests_utils + +import sky + + +# ---------- Test the image ---------- +@pytest.mark.aws +def test_aws_images(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'aws_images', + [ + f'sky launch -y -c {name} --image-id skypilot:gpu-ubuntu-1804 examples/minimal.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky launch -c {name} --image-id skypilot:gpu-ubuntu-2004 examples/minimal.yaml && exit 1 || true', + f'sky launch -y -c {name} examples/minimal.yaml', + f'sky logs {name} 2 --status', + f'sky logs {name} --status | grep "Job 2: SUCCEEDED"', # Equivalent. + f'sky exec {name} \'echo $SKYPILOT_CLUSTER_INFO | jq .cloud | grep -i aws\'', + f'sky logs {name} 3 --status', # Ensure the job succeeded. + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +def test_gcp_images(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'gcp_images', + [ + f'sky launch -y -c {name} --image-id skypilot:gpu-debian-10 --cloud gcp tests/test_yamls/minimal.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky launch -c {name} --image-id skypilot:cpu-debian-10 --cloud gcp tests/test_yamls/minimal.yaml && exit 1 || true', + f'sky launch -y -c {name} tests/test_yamls/minimal.yaml', + f'sky logs {name} 2 --status', + f'sky logs {name} --status | grep "Job 2: SUCCEEDED"', # Equivalent. + f'sky exec {name} \'echo $SKYPILOT_CLUSTER_INFO | jq .cloud | grep -i gcp\'', + f'sky logs {name} 3 --status', # Ensure the job succeeded. + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.azure +def test_azure_images(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'azure_images', + [ + f'sky launch -y -c {name} --image-id skypilot:gpu-ubuntu-2204 --cloud azure tests/test_yamls/minimal.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky launch -c {name} --image-id skypilot:v1-ubuntu-2004 --cloud azure tests/test_yamls/minimal.yaml && exit 1 || true', + f'sky launch -y -c {name} tests/test_yamls/minimal.yaml', + f'sky logs {name} 2 --status', + f'sky logs {name} --status | grep "Job 2: SUCCEEDED"', # Equivalent. + f'sky exec {name} \'echo $SKYPILOT_CLUSTER_INFO | jq .cloud | grep -i azure\'', + f'sky logs {name} 3 --status', # Ensure the job succeeded. + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.aws +def test_aws_image_id_dict(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'aws_image_id_dict', + [ + # Use image id dict. + f'sky launch -y -c {name} examples/per_region_images.yaml', + f'sky exec {name} examples/per_region_images.yaml', + f'sky exec {name} "ls ~"', + f'sky logs {name} 1 --status', + f'sky logs {name} 2 --status', + f'sky logs {name} 3 --status', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +def test_gcp_image_id_dict(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'gcp_image_id_dict', + [ + # Use image id dict. + f'sky launch -y -c {name} tests/test_yamls/gcp_per_region_images.yaml', + f'sky exec {name} tests/test_yamls/gcp_per_region_images.yaml', + f'sky exec {name} "ls ~"', + f'sky logs {name} 1 --status', + f'sky logs {name} 2 --status', + f'sky logs {name} 3 --status', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.aws +def test_aws_image_id_dict_region(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'aws_image_id_dict_region', + [ + # YAML has + # image_id: + # us-west-2: skypilot:gpu-ubuntu-1804 + # us-east-2: skypilot:gpu-ubuntu-2004 + # Use region to filter image_id dict. + f'sky launch -y -c {name} --region us-east-1 examples/per_region_images.yaml && exit 1 || true', + f'sky status | grep {name} && exit 1 || true', # Ensure the cluster is not created. + f'sky launch -y -c {name} --region us-east-2 examples/per_region_images.yaml', + # Should success because the image id match for the region. + f'sky launch -c {name} --image-id skypilot:gpu-ubuntu-2004 examples/minimal.yaml', + f'sky exec {name} --image-id skypilot:gpu-ubuntu-2004 examples/minimal.yaml', + f'sky exec {name} --image-id skypilot:gpu-ubuntu-1804 examples/minimal.yaml && exit 1 || true', + f'sky logs {name} 1 --status', + f'sky logs {name} 2 --status', + f'sky logs {name} 3 --status', + f'sky status --all | grep {name} | grep us-east-2', # Ensure the region is correct. + # Ensure exec works. + f'sky exec {name} --region us-east-2 examples/per_region_images.yaml', + f'sky exec {name} examples/per_region_images.yaml', + f'sky exec {name} --cloud aws --region us-east-2 "ls ~"', + f'sky exec {name} "ls ~"', + f'sky logs {name} 4 --status', + f'sky logs {name} 5 --status', + f'sky logs {name} 6 --status', + f'sky logs {name} 7 --status', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +def test_gcp_image_id_dict_region(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'gcp_image_id_dict_region', + [ + # Use region to filter image_id dict. + f'sky launch -y -c {name} --region us-east1 tests/test_yamls/gcp_per_region_images.yaml && exit 1 || true', + f'sky status | grep {name} && exit 1 || true', # Ensure the cluster is not created. + f'sky launch -y -c {name} --region us-west3 tests/test_yamls/gcp_per_region_images.yaml', + # Should success because the image id match for the region. + f'sky launch -c {name} --cloud gcp --image-id projects/ubuntu-os-cloud/global/images/ubuntu-1804-bionic-v20230112 tests/test_yamls/minimal.yaml', + f'sky exec {name} --cloud gcp --image-id projects/ubuntu-os-cloud/global/images/ubuntu-1804-bionic-v20230112 tests/test_yamls/minimal.yaml', + f'sky exec {name} --cloud gcp --image-id skypilot:cpu-debian-10 tests/test_yamls/minimal.yaml && exit 1 || true', + f'sky logs {name} 1 --status', + f'sky logs {name} 2 --status', + f'sky logs {name} 3 --status', + f'sky status --all | grep {name} | grep us-west3', # Ensure the region is correct. + # Ensure exec works. + f'sky exec {name} --region us-west3 tests/test_yamls/gcp_per_region_images.yaml', + f'sky exec {name} tests/test_yamls/gcp_per_region_images.yaml', + f'sky exec {name} --cloud gcp --region us-west3 "ls ~"', + f'sky exec {name} "ls ~"', + f'sky logs {name} 4 --status', + f'sky logs {name} 5 --status', + f'sky logs {name} 6 --status', + f'sky logs {name} 7 --status', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.aws +def test_aws_image_id_dict_zone(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'aws_image_id_dict_zone', + [ + # YAML has + # image_id: + # us-west-2: skypilot:gpu-ubuntu-1804 + # us-east-2: skypilot:gpu-ubuntu-2004 + # Use zone to filter image_id dict. + f'sky launch -y -c {name} --zone us-east-1b examples/per_region_images.yaml && exit 1 || true', + f'sky status | grep {name} && exit 1 || true', # Ensure the cluster is not created. + f'sky launch -y -c {name} --zone us-east-2a examples/per_region_images.yaml', + # Should success because the image id match for the zone. + f'sky launch -y -c {name} --image-id skypilot:gpu-ubuntu-2004 examples/minimal.yaml', + f'sky exec {name} --image-id skypilot:gpu-ubuntu-2004 examples/minimal.yaml', + # Fail due to image id mismatch. + f'sky exec {name} --image-id skypilot:gpu-ubuntu-1804 examples/minimal.yaml && exit 1 || true', + f'sky logs {name} 1 --status', + f'sky logs {name} 2 --status', + f'sky logs {name} 3 --status', + f'sky status --all | grep {name} | grep us-east-2a', # Ensure the zone is correct. + # Ensure exec works. + f'sky exec {name} --zone us-east-2a examples/per_region_images.yaml', + f'sky exec {name} examples/per_region_images.yaml', + f'sky exec {name} --cloud aws --region us-east-2 "ls ~"', + f'sky exec {name} "ls ~"', + f'sky logs {name} 4 --status', + f'sky logs {name} 5 --status', + f'sky logs {name} 6 --status', + f'sky logs {name} 7 --status', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +def test_gcp_image_id_dict_zone(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'gcp_image_id_dict_zone', + [ + # Use zone to filter image_id dict. + f'sky launch -y -c {name} --zone us-east1-a tests/test_yamls/gcp_per_region_images.yaml && exit 1 || true', + f'sky status | grep {name} && exit 1 || true', # Ensure the cluster is not created. + f'sky launch -y -c {name} --zone us-central1-a tests/test_yamls/gcp_per_region_images.yaml', + # Should success because the image id match for the zone. + f'sky launch -y -c {name} --cloud gcp --image-id skypilot:cpu-debian-10 tests/test_yamls/minimal.yaml', + f'sky exec {name} --cloud gcp --image-id skypilot:cpu-debian-10 tests/test_yamls/minimal.yaml', + # Fail due to image id mismatch. + f'sky exec {name} --cloud gcp --image-id skypilot:gpu-debian-10 tests/test_yamls/minimal.yaml && exit 1 || true', + f'sky logs {name} 1 --status', + f'sky logs {name} 2 --status', + f'sky logs {name} 3 --status', + f'sky status --all | grep {name} | grep us-central1', # Ensure the zone is correct. + # Ensure exec works. + f'sky exec {name} --cloud gcp --zone us-central1-a tests/test_yamls/gcp_per_region_images.yaml', + f'sky exec {name} tests/test_yamls/gcp_per_region_images.yaml', + f'sky exec {name} --cloud gcp --region us-central1 "ls ~"', + f'sky exec {name} "ls ~"', + f'sky logs {name} 4 --status', + f'sky logs {name} 5 --status', + f'sky logs {name} 6 --status', + f'sky logs {name} 7 --status', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.aws +def test_clone_disk_aws(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'clone_disk_aws', + [ + f'sky launch -y -c {name} --cloud aws --region us-east-2 --retry-until-up "echo hello > ~/user_file.txt"', + f'sky launch --clone-disk-from {name} -y -c {name}-clone && exit 1 || true', + f'sky stop {name} -y', + smoke_tests_utils.get_cmd_wait_until_cluster_status_contains( + cluster_name=name, + cluster_status=[sky.ClusterStatus.STOPPED], + timeout=60), + # Wait for EC2 instance to be in stopped state. + # TODO: event based wait. + 'sleep 60', + f'sky launch --clone-disk-from {name} -y -c {name}-clone --cloud aws -d --region us-east-2 "cat ~/user_file.txt | grep hello"', + f'sky launch --clone-disk-from {name} -y -c {name}-clone-2 --cloud aws -d --region us-east-2 "cat ~/user_file.txt | grep hello"', + f'sky logs {name}-clone 1 --status', + f'sky logs {name}-clone-2 1 --status', + ], + f'sky down -y {name} {name}-clone {name}-clone-2', + timeout=30 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +def test_clone_disk_gcp(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'clone_disk_gcp', + [ + f'sky launch -y -c {name} --cloud gcp --zone us-east1-b --retry-until-up "echo hello > ~/user_file.txt"', + f'sky launch --clone-disk-from {name} -y -c {name}-clone && exit 1 || true', + f'sky stop {name} -y', + f'sky launch --clone-disk-from {name} -y -c {name}-clone --cloud gcp --zone us-central1-a "cat ~/user_file.txt | grep hello"', + f'sky launch --clone-disk-from {name} -y -c {name}-clone-2 --cloud gcp --zone us-east1-b "cat ~/user_file.txt | grep hello"', + f'sky logs {name}-clone 1 --status', + f'sky logs {name}-clone-2 1 --status', + ], + f'sky down -y {name} {name}-clone {name}-clone-2', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +def test_gcp_mig(): + name = smoke_tests_utils.get_cluster_name() + region = 'us-central1' + test = smoke_tests_utils.Test( + 'gcp_mig', + [ + f'sky launch -y -c {name} --gpus t4 --num-nodes 2 --image-id skypilot:gpu-debian-10 --cloud gcp --region {region} tests/test_yamls/minimal.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky launch -y -c {name} tests/test_yamls/minimal.yaml', + f'sky logs {name} 2 --status', + f'sky logs {name} --status | grep "Job 2: SUCCEEDED"', # Equivalent. + # Check MIG exists. + f'gcloud compute instance-groups managed list --format="value(name)" | grep "^sky-mig-{name}"', + f'sky autostop -i 0 --down -y {name}', + smoke_tests_utils.get_cmd_wait_until_cluster_is_not_found( + cluster_name=name, timeout=120), + f'gcloud compute instance-templates list | grep "sky-it-{name}"', + # Launch again with the same region. The original instance template + # should be removed. + f'sky launch -y -c {name} --gpus L4 --num-nodes 2 --region {region} nvidia-smi', + f'sky logs {name} 1 | grep "L4"', + f'sky down -y {name}', + f'gcloud compute instance-templates list | grep "sky-it-{name}" && exit 1 || true', + ], + f'sky down -y {name}', + env={'SKYPILOT_CONFIG': 'tests/test_yamls/use_mig_config.yaml'}) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +def test_gcp_force_enable_external_ips(): + name = smoke_tests_utils.get_cluster_name() + test_commands = [ + f'sky launch -y -c {name} --cloud gcp --cpus 2 tests/test_yamls/minimal.yaml', + # Check network of vm is "default" + (f'gcloud compute instances list --filter=name~"{name}" --format=' + '"value(networkInterfaces.network)" | grep "networks/default"'), + # Check External NAT in network access configs, corresponds to external ip + (f'gcloud compute instances list --filter=name~"{name}" --format=' + '"value(networkInterfaces.accessConfigs[0].name)" | grep "External NAT"' + ), + f'sky down -y {name}', + ] + skypilot_config = 'tests/test_yamls/force_enable_external_ips_config.yaml' + test = smoke_tests_utils.Test('gcp_force_enable_external_ips', + test_commands, + f'sky down -y {name}', + env={'SKYPILOT_CONFIG': skypilot_config}) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.aws +def test_image_no_conda(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'image_no_conda', + [ + # Use image id dict. + f'sky launch -y -c {name} --region us-east-2 examples/per_region_images.yaml', + f'sky logs {name} 1 --status', + f'sky stop {name} -y', + f'sky start {name} -y', + f'sky exec {name} examples/per_region_images.yaml', + f'sky logs {name} 2 --status', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.no_fluidstack # FluidStack does not support stopping instances in SkyPilot implementation +@pytest.mark.no_kubernetes # Kubernetes does not support stopping instances +def test_custom_default_conda_env(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test('custom_default_conda_env', [ + f'sky launch -c {name} -y --cloud {generic_cloud} tests/test_yamls/test_custom_default_conda_env.yaml', + f'sky status -r {name} | grep "UP"', + f'sky logs {name} 1 --status', + f'sky logs {name} 1 --no-follow | grep -E "myenv\\s+\\*"', + f'sky exec {name} tests/test_yamls/test_custom_default_conda_env.yaml', + f'sky logs {name} 2 --status', + f'sky autostop -y -i 0 {name}', + smoke_tests_utils.get_cmd_wait_until_cluster_status_contains( + cluster_name=name, + cluster_status=[sky.ClusterStatus.STOPPED], + timeout=80), + f'sky start -y {name}', + f'sky logs {name} 2 --no-follow | grep -E "myenv\\s+\\*"', + f'sky exec {name} tests/test_yamls/test_custom_default_conda_env.yaml', + f'sky logs {name} 3 --status', + ], f'sky down -y {name}') + smoke_tests_utils.run_one_test(test) diff --git a/tests/smoke_tests/test_managed_job.py b/tests/smoke_tests/test_managed_job.py new file mode 100644 index 00000000000..c8ef5c1a502 --- /dev/null +++ b/tests/smoke_tests/test_managed_job.py @@ -0,0 +1,812 @@ +# Smoke tests for SkyPilot for managed jobs +# Default options are set in pyproject.toml +# Example usage: +# Run all tests except for AWS and Lambda Cloud +# > pytest tests/smoke_tests/test_managed_job.py +# +# Terminate failed clusters after test finishes +# > pytest tests/smoke_tests/test_managed_job.py --terminate-on-failure +# +# Re-run last failed tests +# > pytest --lf +# +# Run one of the smoke tests +# > pytest tests/smoke_tests/test_managed_job.py::test_managed_jobs +# +# Only run managed job tests +# > pytest tests/smoke_tests/test_managed_job.py --managed-jobs +# +# Only run test for AWS + generic tests +# > pytest tests/smoke_tests/test_managed_job.py --aws +# +# Change cloud for generic tests to aws +# > pytest tests/smoke_tests/test_managed_job.py --generic-cloud aws + +import pathlib +import tempfile +import time + +import pytest +from smoke_tests import smoke_tests_utils +from smoke_tests.test_mount_and_storage import TestStorageWithCredentials + +import sky +from sky import jobs +from sky.data import storage as storage_lib +from sky.skylet import constants +from sky.utils import common_utils + + +# ---------- Testing managed job ---------- +# TODO(zhwu): make the jobs controller on GCP, to avoid parallel test issues +# when the controller being on Azure, which takes a long time for launching +# step. +@pytest.mark.managed_jobs +def test_managed_jobs(generic_cloud: str): + """Test the managed jobs yaml.""" + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'managed-jobs', + [ + f'sky jobs launch -n {name}-1 --cloud {generic_cloud} examples/managed_job.yaml -y -d', + f'sky jobs launch -n {name}-2 --cloud {generic_cloud} examples/managed_job.yaml -y -d', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=f'{name}-1', + job_status=[ + sky.ManagedJobStatus.PENDING, + sky.ManagedJobStatus.SUBMITTED, + sky.ManagedJobStatus.STARTING, sky.ManagedJobStatus.RUNNING + ], + timeout=60), + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=f'{name}-2', + job_status=[ + sky.ManagedJobStatus.PENDING, + sky.ManagedJobStatus.SUBMITTED, + sky.ManagedJobStatus.STARTING, sky.ManagedJobStatus.RUNNING + ], + timeout=60), + f'sky jobs cancel -y -n {name}-1', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=f'{name}-1', + job_status=[sky.ManagedJobStatus.CANCELLED], + timeout=230), + # Test the functionality for logging. + f's=$(sky jobs logs -n {name}-2 --no-follow); echo "$s"; echo "$s" | grep "start counting"', + f's=$(sky jobs logs --controller -n {name}-2 --no-follow); echo "$s"; echo "$s" | grep "Cluster launched:"', + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep {name}-2 | head -n1 | grep "RUNNING\|SUCCEEDED"', + ], + # TODO(zhwu): Change to f'sky jobs cancel -y -n {name}-1 -n {name}-2' when + # canceling multiple job names is supported. + f'sky jobs cancel -y -n {name}-1; sky jobs cancel -y -n {name}-2', + # Increase timeout since sky jobs queue -r can be blocked by other spot tests. + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.no_fluidstack #fluidstack does not support spot instances +@pytest.mark.no_lambda_cloud # Lambda Cloud does not support spot instances +@pytest.mark.no_ibm # IBM Cloud does not support spot instances +@pytest.mark.no_scp # SCP does not support spot instances +@pytest.mark.no_paperspace # Paperspace does not support spot instances +@pytest.mark.no_kubernetes # Kubernetes does not have a notion of spot instances +@pytest.mark.managed_jobs +def test_job_pipeline(generic_cloud: str): + """Test a job pipeline.""" + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'spot-pipeline', + [ + f'sky jobs launch -n {name} tests/test_yamls/pipeline.yaml -y -d', + 'sleep 5', + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep {name} | head -n1 | grep "STARTING\|RUNNING"', + # `grep -A 4 {name}` finds the job with {name} and the 4 lines + # after it, i.e. the 4 tasks within the job. + # `sed -n 2p` gets the second line of the 4 lines, i.e. the first + # task within the job. + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 2p | grep "STARTING\|RUNNING"', + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 3p | grep "PENDING"', + f'sky jobs cancel -y -n {name}', + 'sleep 5', + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 2p | grep "CANCELLING\|CANCELLED"', + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 3p | grep "CANCELLING\|CANCELLED"', + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 4p | grep "CANCELLING\|CANCELLED"', + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 5p | grep "CANCELLING\|CANCELLED"', + 'sleep 200', + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 2p | grep "CANCELLED"', + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 3p | grep "CANCELLED"', + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 4p | grep "CANCELLED"', + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 5p | grep "CANCELLED"', + ], + f'sky jobs cancel -y -n {name}', + # Increase timeout since sky jobs queue -r can be blocked by other spot tests. + timeout=30 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.no_fluidstack #fluidstack does not support spot instances +@pytest.mark.no_lambda_cloud # Lambda Cloud does not support spot instances +@pytest.mark.no_ibm # IBM Cloud does not support spot instances +@pytest.mark.no_scp # SCP does not support spot instances +@pytest.mark.no_paperspace # Paperspace does not support spot instances +@pytest.mark.no_kubernetes # Kubernetes does not have a notion of spot instances +@pytest.mark.managed_jobs +def test_managed_jobs_failed_setup(generic_cloud: str): + """Test managed job with failed setup.""" + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'managed_jobs_failed_setup', + [ + f'sky jobs launch -n {name} --cloud {generic_cloud} -y -d tests/test_yamls/failed_setup.yaml', + # Make sure the job failed quickly. + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.FAILED_SETUP], + timeout=330 + smoke_tests_utils.BUMP_UP_SECONDS), + ], + f'sky jobs cancel -y -n {name}', + # Increase timeout since sky jobs queue -r can be blocked by other spot tests. + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.no_fluidstack #fluidstack does not support spot instances +@pytest.mark.no_lambda_cloud # Lambda Cloud does not support spot instances +@pytest.mark.no_ibm # IBM Cloud does not support spot instances +@pytest.mark.no_scp # SCP does not support spot instances +@pytest.mark.no_paperspace # Paperspace does not support spot instances +@pytest.mark.no_kubernetes # Kubernetes does not have a notion of spot instances +@pytest.mark.managed_jobs +def test_managed_jobs_pipeline_failed_setup(generic_cloud: str): + """Test managed job with failed setup for a pipeline.""" + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'managed_jobs_pipeline_failed_setup', + [ + f'sky jobs launch -n {name} -y -d tests/test_yamls/failed_setup_pipeline.yaml', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.FAILED_SETUP], + timeout=600), + # Make sure the job failed quickly. + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep {name} | head -n1 | grep "FAILED_SETUP"', + # Task 0 should be SUCCEEDED. + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 2p | grep "SUCCEEDED"', + # Task 1 should be FAILED_SETUP. + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 3p | grep "FAILED_SETUP"', + # Task 2 should be CANCELLED. + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 4p | grep "CANCELLED"', + # Task 3 should be CANCELLED. + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 5p | grep "CANCELLED"', + ], + f'sky jobs cancel -y -n {name}', + # Increase timeout since sky jobs queue -r can be blocked by other spot tests. + timeout=30 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Testing managed job recovery ---------- + + +@pytest.mark.aws +@pytest.mark.managed_jobs +def test_managed_jobs_recovery_aws(aws_config_region): + """Test managed job recovery.""" + name = smoke_tests_utils.get_cluster_name() + name_on_cloud = common_utils.make_cluster_name_on_cloud( + name, jobs.JOBS_CLUSTER_NAME_PREFIX_LENGTH, add_user_hash=False) + region = aws_config_region + test = smoke_tests_utils.Test( + 'managed_jobs_recovery_aws', + [ + f'sky jobs launch --cloud aws --region {region} --use-spot -n {name} "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.RUNNING], + timeout=600), + f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', + # Terminate the cluster manually. + (f'aws ec2 terminate-instances --region {region} --instance-ids $(' + f'aws ec2 describe-instances --region {region} ' + f'--filters Name=tag:ray-cluster-name,Values={name_on_cloud}* ' + f'--query Reservations[].Instances[].InstanceId ' + '--output text)'), + smoke_tests_utils.JOB_WAIT_NOT_RUNNING.format(job_name=name), + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.RUNNING], + timeout=200), + f'RUN_ID=$(cat /tmp/{name}-run-id); echo "$RUN_ID"; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | grep "$RUN_ID"', + ], + f'sky jobs cancel -y -n {name}', + timeout=25 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +@pytest.mark.managed_jobs +def test_managed_jobs_recovery_gcp(): + """Test managed job recovery.""" + name = smoke_tests_utils.get_cluster_name() + name_on_cloud = common_utils.make_cluster_name_on_cloud( + name, jobs.JOBS_CLUSTER_NAME_PREFIX_LENGTH, add_user_hash=False) + zone = 'us-east4-b' + query_cmd = ( + f'gcloud compute instances list --filter=' + # `:` means prefix match. + f'"(labels.ray-cluster-name:{name_on_cloud})" ' + f'--zones={zone} --format="value(name)"') + terminate_cmd = (f'gcloud compute instances delete --zone={zone}' + f' --quiet $({query_cmd})') + test = smoke_tests_utils.Test( + 'managed_jobs_recovery_gcp', + [ + f'sky jobs launch --cloud gcp --zone {zone} -n {name} --use-spot --cpus 2 "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.RUNNING], + timeout=300), + f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', + # Terminate the cluster manually. + terminate_cmd, + smoke_tests_utils.JOB_WAIT_NOT_RUNNING.format(job_name=name), + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.RUNNING], + timeout=200), + f'RUN_ID=$(cat /tmp/{name}-run-id); echo "$RUN_ID"; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | grep "$RUN_ID"', + ], + f'sky jobs cancel -y -n {name}', + timeout=25 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.aws +@pytest.mark.managed_jobs +def test_managed_jobs_pipeline_recovery_aws(aws_config_region): + """Test managed job recovery for a pipeline.""" + name = smoke_tests_utils.get_cluster_name() + user_hash = common_utils.get_user_hash() + user_hash = user_hash[:common_utils.USER_HASH_LENGTH_IN_CLUSTER_NAME] + region = aws_config_region + if region != 'us-east-2': + pytest.skip('Only run spot pipeline recovery test in us-east-2') + test = smoke_tests_utils.Test( + 'managed_jobs_pipeline_recovery_aws', + [ + f'sky jobs launch -n {name} tests/test_yamls/pipeline_aws.yaml -y -d', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.RUNNING], + timeout=400), + f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', + f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids', + # Terminate the cluster manually. + # The `cat ...| rev` is to retrieve the job_id from the + # SKYPILOT_TASK_ID, which gets the second to last field + # separated by `-`. + ( + f'MANAGED_JOB_ID=`cat /tmp/{name}-run-id | rev | ' + 'cut -d\'_\' -f1 | rev | cut -d\'-\' -f1`;' + f'aws ec2 terminate-instances --region {region} --instance-ids $(' + f'aws ec2 describe-instances --region {region} ' + # TODO(zhwu): fix the name for spot cluster. + '--filters Name=tag:ray-cluster-name,Values=*-${MANAGED_JOB_ID}' + f'-{user_hash} ' + f'--query Reservations[].Instances[].InstanceId ' + '--output text)'), + smoke_tests_utils.JOB_WAIT_NOT_RUNNING.format(job_name=name), + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.RUNNING], + timeout=200), + f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | grep "$RUN_ID"', + f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids-new', + f'diff /tmp/{name}-run-ids /tmp/{name}-run-ids-new', + f'cat /tmp/{name}-run-ids | sed -n 2p | grep `cat /tmp/{name}-run-id`', + ], + f'sky jobs cancel -y -n {name}', + timeout=25 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +@pytest.mark.managed_jobs +def test_managed_jobs_pipeline_recovery_gcp(): + """Test managed job recovery for a pipeline.""" + name = smoke_tests_utils.get_cluster_name() + zone = 'us-east4-b' + user_hash = common_utils.get_user_hash() + user_hash = user_hash[:common_utils.USER_HASH_LENGTH_IN_CLUSTER_NAME] + query_cmd = ( + 'gcloud compute instances list --filter=' + f'"(labels.ray-cluster-name:*-${{MANAGED_JOB_ID}}-{user_hash})" ' + f'--zones={zone} --format="value(name)"') + terminate_cmd = (f'gcloud compute instances delete --zone={zone}' + f' --quiet $({query_cmd})') + test = smoke_tests_utils.Test( + 'managed_jobs_pipeline_recovery_gcp', + [ + f'sky jobs launch -n {name} tests/test_yamls/pipeline_gcp.yaml -y -d', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.RUNNING], + timeout=400), + f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', + f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids', + # Terminate the cluster manually. + # The `cat ...| rev` is to retrieve the job_id from the + # SKYPILOT_TASK_ID, which gets the second to last field + # separated by `-`. + (f'MANAGED_JOB_ID=`cat /tmp/{name}-run-id | rev | ' + f'cut -d\'_\' -f1 | rev | cut -d\'-\' -f1`; {terminate_cmd}'), + smoke_tests_utils.zJOB_WAIT_NOT_RUNNING.format(job_name=name), + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.RUNNING], + timeout=200), + f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | grep "$RUN_ID"', + f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids-new', + f'diff /tmp/{name}-run-ids /tmp/{name}-run-ids-new', + f'cat /tmp/{name}-run-ids | sed -n 2p | grep `cat /tmp/{name}-run-id`', + ], + f'sky jobs cancel -y -n {name}', + timeout=25 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.no_fluidstack # Fluidstack does not support spot instances +@pytest.mark.no_lambda_cloud # Lambda Cloud does not support spot instances +@pytest.mark.no_ibm # IBM Cloud does not support spot instances +@pytest.mark.no_scp # SCP does not support spot instances +@pytest.mark.no_paperspace # Paperspace does not support spot instances +@pytest.mark.no_kubernetes # Kubernetes does not have a notion of spot instances +@pytest.mark.managed_jobs +def test_managed_jobs_recovery_default_resources(generic_cloud: str): + """Test managed job recovery for default resources.""" + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'managed-spot-recovery-default-resources', + [ + f'sky jobs launch -n {name} --cloud {generic_cloud} --use-spot "sleep 30 && sudo shutdown now && sleep 1000" -y -d', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ + sky.ManagedJobStatus.RUNNING, + sky.ManagedJobStatus.RECOVERING + ], + timeout=360), + ], + f'sky jobs cancel -y -n {name}', + timeout=25 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.aws +@pytest.mark.managed_jobs +def test_managed_jobs_recovery_multi_node_aws(aws_config_region): + """Test managed job recovery.""" + name = smoke_tests_utils.get_cluster_name() + name_on_cloud = common_utils.make_cluster_name_on_cloud( + name, jobs.JOBS_CLUSTER_NAME_PREFIX_LENGTH, add_user_hash=False) + region = aws_config_region + test = smoke_tests_utils.Test( + 'managed_jobs_recovery_multi_node_aws', + [ + f'sky jobs launch --cloud aws --region {region} -n {name} --use-spot --num-nodes 2 "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.RUNNING], + timeout=450), + f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', + # Terminate the worker manually. + (f'aws ec2 terminate-instances --region {region} --instance-ids $(' + f'aws ec2 describe-instances --region {region} ' + f'--filters Name=tag:ray-cluster-name,Values={name_on_cloud}* ' + 'Name=tag:ray-node-type,Values=worker ' + f'--query Reservations[].Instances[].InstanceId ' + '--output text)'), + smoke_tests_utils.JOB_WAIT_NOT_RUNNING.format(job_name=name), + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.RUNNING], + timeout=560), + f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2 | grep "$RUN_ID"', + ], + f'sky jobs cancel -y -n {name}', + timeout=30 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +@pytest.mark.managed_jobs +def test_managed_jobs_recovery_multi_node_gcp(): + """Test managed job recovery.""" + name = smoke_tests_utils.get_cluster_name() + name_on_cloud = common_utils.make_cluster_name_on_cloud( + name, jobs.JOBS_CLUSTER_NAME_PREFIX_LENGTH, add_user_hash=False) + zone = 'us-west2-a' + # Use ':' to match as the cluster name will contain the suffix with job id + query_cmd = ( + f'gcloud compute instances list --filter=' + f'"(labels.ray-cluster-name:{name_on_cloud} AND ' + f'labels.ray-node-type=worker)" --zones={zone} --format="value(name)"') + terminate_cmd = (f'gcloud compute instances delete --zone={zone}' + f' --quiet $({query_cmd})') + test = smoke_tests_utils.Test( + 'managed_jobs_recovery_multi_node_gcp', + [ + f'sky jobs launch --cloud gcp --zone {zone} -n {name} --use-spot --num-nodes 2 "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.RUNNING], + timeout=400), + f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', + # Terminate the worker manually. + terminate_cmd, + smoke_tests_utils.JOB_WAIT_NOT_RUNNING.format(job_name=name), + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.RUNNING], + timeout=560), + f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2 | grep "$RUN_ID"', + ], + f'sky jobs cancel -y -n {name}', + timeout=25 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.aws +@pytest.mark.managed_jobs +def test_managed_jobs_cancellation_aws(aws_config_region): + name = smoke_tests_utils.get_cluster_name() + name_on_cloud = common_utils.make_cluster_name_on_cloud( + name, jobs.JOBS_CLUSTER_NAME_PREFIX_LENGTH, add_user_hash=False) + name_2_on_cloud = common_utils.make_cluster_name_on_cloud( + f'{name}-2', jobs.JOBS_CLUSTER_NAME_PREFIX_LENGTH, add_user_hash=False) + name_3_on_cloud = common_utils.make_cluster_name_on_cloud( + f'{name}-3', jobs.JOBS_CLUSTER_NAME_PREFIX_LENGTH, add_user_hash=False) + region = aws_config_region + test = smoke_tests_utils.Test( + 'managed_jobs_cancellation_aws', + [ + # Test cancellation during spot cluster being launched. + f'sky jobs launch --cloud aws --region {region} -n {name} --use-spot "sleep 1000" -y -d', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ + sky.ManagedJobStatus.STARTING, sky.ManagedJobStatus.RUNNING + ], + timeout=60 + smoke_tests_utils.BUMP_UP_SECONDS), + f'sky jobs cancel -y -n {name}', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.CANCELLED], + timeout=120 + smoke_tests_utils.BUMP_UP_SECONDS), + (f's=$(aws ec2 describe-instances --region {region} ' + f'--filters Name=tag:ray-cluster-name,Values={name_on_cloud}-* ' + f'--query Reservations[].Instances[].State[].Name ' + '--output text) && echo "$s" && echo; [[ -z "$s" ]] || [[ "$s" = "terminated" ]] || [[ "$s" = "shutting-down" ]]' + ), + # Test cancelling the spot cluster during spot job being setup. + f'sky jobs launch --cloud aws --region {region} -n {name}-2 --use-spot tests/test_yamls/test_long_setup.yaml -y -d', + # The job is set up in the cluster, will shown as RUNNING. + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=f'{name}-2', + job_status=[sky.ManagedJobStatus.RUNNING], + timeout=300 + smoke_tests_utils.BUMP_UP_SECONDS), + f'sky jobs cancel -y -n {name}-2', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=f'{name}-2', + job_status=[sky.ManagedJobStatus.CANCELLED], + timeout=120 + smoke_tests_utils.BUMP_UP_SECONDS), + (f's=$(aws ec2 describe-instances --region {region} ' + f'--filters Name=tag:ray-cluster-name,Values={name_2_on_cloud}-* ' + f'--query Reservations[].Instances[].State[].Name ' + '--output text) && echo "$s" && echo; [[ -z "$s" ]] || [[ "$s" = "terminated" ]] || [[ "$s" = "shutting-down" ]]' + ), + # Test cancellation during spot job is recovering. + f'sky jobs launch --cloud aws --region {region} -n {name}-3 --use-spot "sleep 1000" -y -d', + # The job is running in the cluster, will shown as RUNNING. + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=f'{name}-3', + job_status=[sky.ManagedJobStatus.RUNNING], + timeout=300 + smoke_tests_utils.BUMP_UP_SECONDS), + # Terminate the cluster manually. + (f'aws ec2 terminate-instances --region {region} --instance-ids $(' + f'aws ec2 describe-instances --region {region} ' + f'--filters Name=tag:ray-cluster-name,Values={name_3_on_cloud}-* ' + f'--query Reservations[].Instances[].InstanceId ' + '--output text)'), + smoke_tests_utils.JOB_WAIT_NOT_RUNNING.format(job_name=f'{name}-3'), + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "RECOVERING"', + f'sky jobs cancel -y -n {name}-3', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=f'{name}-3', + job_status=[sky.ManagedJobStatus.CANCELLED], + timeout=120 + smoke_tests_utils.BUMP_UP_SECONDS), + # The cluster should be terminated (shutting-down) after cancellation. We don't use the `=` operator here because + # there can be multiple VM with the same name due to the recovery. + (f's=$(aws ec2 describe-instances --region {region} ' + f'--filters Name=tag:ray-cluster-name,Values={name_3_on_cloud}-* ' + f'--query Reservations[].Instances[].State[].Name ' + '--output text) && echo "$s" && echo; [[ -z "$s" ]] || echo "$s" | grep -v -E "pending|running|stopped|stopping"' + ), + ], + timeout=25 * 60) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +@pytest.mark.managed_jobs +def test_managed_jobs_cancellation_gcp(): + name = smoke_tests_utils.get_cluster_name() + name_3 = f'{name}-3' + name_3_on_cloud = common_utils.make_cluster_name_on_cloud( + name_3, jobs.JOBS_CLUSTER_NAME_PREFIX_LENGTH, add_user_hash=False) + zone = 'us-west3-b' + query_state_cmd = ( + 'gcloud compute instances list ' + f'--filter="(labels.ray-cluster-name:{name_3_on_cloud})" ' + '--format="value(status)"') + query_cmd = (f'gcloud compute instances list --filter=' + f'"(labels.ray-cluster-name:{name_3_on_cloud})" ' + f'--zones={zone} --format="value(name)"') + terminate_cmd = (f'gcloud compute instances delete --zone={zone}' + f' --quiet $({query_cmd})') + test = smoke_tests_utils.Test( + 'managed_jobs_cancellation_gcp', + [ + # Test cancellation during spot cluster being launched. + f'sky jobs launch --cloud gcp --zone {zone} -n {name} --use-spot "sleep 1000" -y -d', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.STARTING], + timeout=60 + smoke_tests_utils.BUMP_UP_SECONDS), + f'sky jobs cancel -y -n {name}', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.CANCELLED], + timeout=120 + smoke_tests_utils.BUMP_UP_SECONDS), + # Test cancelling the spot cluster during spot job being setup. + f'sky jobs launch --cloud gcp --zone {zone} -n {name}-2 --use-spot tests/test_yamls/test_long_setup.yaml -y -d', + # The job is set up in the cluster, will shown as RUNNING. + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=f'{name}-2', + job_status=[sky.ManagedJobStatus.RUNNING], + timeout=300 + smoke_tests_utils.BUMP_UP_SECONDS), + f'sky jobs cancel -y -n {name}-2', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=f'{name}-2', + job_status=[sky.ManagedJobStatus.CANCELLED], + timeout=120 + smoke_tests_utils.BUMP_UP_SECONDS), + # Test cancellation during spot job is recovering. + f'sky jobs launch --cloud gcp --zone {zone} -n {name}-3 --use-spot "sleep 1000" -y -d', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=f'{name}-3', + job_status=[sky.ManagedJobStatus.RUNNING], + timeout=300 + smoke_tests_utils.BUMP_UP_SECONDS), + # Terminate the cluster manually. + terminate_cmd, + smoke_tests_utils.JOB_WAIT_NOT_RUNNING.format(job_name=f'{name}-3'), + f'{smoke_tests_utils.GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "RECOVERING"', + f'sky jobs cancel -y -n {name}-3', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=f'{name}-3', + job_status=[sky.ManagedJobStatus.CANCELLED], + timeout=120 + smoke_tests_utils.BUMP_UP_SECONDS), + # The cluster should be terminated (STOPPING) after cancellation. We don't use the `=` operator here because + # there can be multiple VM with the same name due to the recovery. + (f's=$({query_state_cmd}) && echo "$s" && echo; [[ -z "$s" ]] || echo "$s" | grep -v -E "PROVISIONING|STAGING|RUNNING|REPAIRING|TERMINATED|SUSPENDING|SUSPENDED|SUSPENDED"' + ), + ], + timeout=25 * 60) + smoke_tests_utils.run_one_test(test) + + +# ---------- Testing storage for managed job ---------- +@pytest.mark.no_fluidstack # Fluidstack does not support spot instances +@pytest.mark.no_lambda_cloud # Lambda Cloud does not support spot instances +@pytest.mark.no_ibm # IBM Cloud does not support spot instances +@pytest.mark.no_paperspace # Paperspace does not support spot instances +@pytest.mark.no_scp # SCP does not support spot instances +@pytest.mark.managed_jobs +def test_managed_jobs_storage(generic_cloud: str): + """Test storage with managed job""" + name = smoke_tests_utils.get_cluster_name() + yaml_str = pathlib.Path( + 'examples/managed_job_with_storage.yaml').read_text() + timestamp = int(time.time()) + storage_name = f'sky-test-{timestamp}' + output_storage_name = f'sky-test-output-{timestamp}' + + # Also perform region testing for bucket creation to validate if buckets are + # created in the correct region and correctly mounted in managed jobs. + # However, we inject this testing only for AWS and GCP since they are the + # supported object storage providers in SkyPilot. + region_flag = '' + region_validation_cmd = 'true' + use_spot = ' --use-spot' + if generic_cloud == 'aws': + region = 'eu-central-1' + region_flag = f' --region {region}' + region_cmd = TestStorageWithCredentials.cli_region_cmd( + storage_lib.StoreType.S3, bucket_name=storage_name) + region_validation_cmd = f'{region_cmd} | grep {region}' + s3_check_file_count = TestStorageWithCredentials.cli_count_name_in_bucket( + storage_lib.StoreType.S3, output_storage_name, 'output.txt') + output_check_cmd = f'{s3_check_file_count} | grep 1' + elif generic_cloud == 'gcp': + region = 'us-west2' + region_flag = f' --region {region}' + region_cmd = TestStorageWithCredentials.cli_region_cmd( + storage_lib.StoreType.GCS, bucket_name=storage_name) + region_validation_cmd = f'{region_cmd} | grep {region}' + gcs_check_file_count = TestStorageWithCredentials.cli_count_name_in_bucket( + storage_lib.StoreType.GCS, output_storage_name, 'output.txt') + output_check_cmd = f'{gcs_check_file_count} | grep 1' + elif generic_cloud == 'azure': + region = 'westus2' + region_flag = f' --region {region}' + storage_account_name = ( + storage_lib.AzureBlobStore.get_default_storage_account_name(region)) + region_cmd = TestStorageWithCredentials.cli_region_cmd( + storage_lib.StoreType.AZURE, + storage_account_name=storage_account_name) + region_validation_cmd = f'{region_cmd} | grep {region}' + az_check_file_count = TestStorageWithCredentials.cli_count_name_in_bucket( + storage_lib.StoreType.AZURE, + output_storage_name, + 'output.txt', + storage_account_name=storage_account_name) + output_check_cmd = f'{az_check_file_count} | grep 1' + elif generic_cloud == 'kubernetes': + # With Kubernetes, we don't know which object storage provider is used. + # Check both S3 and GCS if bucket exists in either. + s3_check_file_count = TestStorageWithCredentials.cli_count_name_in_bucket( + storage_lib.StoreType.S3, output_storage_name, 'output.txt') + s3_output_check_cmd = f'{s3_check_file_count} | grep 1' + gcs_check_file_count = TestStorageWithCredentials.cli_count_name_in_bucket( + storage_lib.StoreType.GCS, output_storage_name, 'output.txt') + gcs_output_check_cmd = f'{gcs_check_file_count} | grep 1' + output_check_cmd = f'{s3_output_check_cmd} || {gcs_output_check_cmd}' + use_spot = ' --no-use-spot' + + yaml_str = yaml_str.replace('sky-workdir-zhwu', storage_name) + yaml_str = yaml_str.replace('sky-output-bucket', output_storage_name) + with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: + f.write(yaml_str) + f.flush() + file_path = f.name + test = smoke_tests_utils.Test( + 'managed_jobs_storage', + [ + *smoke_tests_utils.STORAGE_SETUP_COMMANDS, + f'sky jobs launch -n {name}{use_spot} --cloud {generic_cloud}{region_flag} {file_path} -y', + region_validation_cmd, # Check if the bucket is created in the correct region + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.SUCCEEDED], + timeout=60 + smoke_tests_utils.BUMP_UP_SECONDS), + # Wait for the job to be cleaned up. + 'sleep 20', + f'[ $(aws s3api list-buckets --query "Buckets[?contains(Name, \'{storage_name}\')].Name" --output text | wc -l) -eq 0 ]', + # Check if file was written to the mounted output bucket + output_check_cmd + ], + (f'sky jobs cancel -y -n {name}', + f'; sky storage delete {output_storage_name} || true'), + # Increase timeout since sky jobs queue -r can be blocked by other spot tests. + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Testing spot TPU ---------- +@pytest.mark.gcp +@pytest.mark.managed_jobs +@pytest.mark.tpu +def test_managed_jobs_tpu(): + """Test managed job on TPU.""" + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'test-spot-tpu', + [ + f'sky jobs launch -n {name} --use-spot examples/tpu/tpuvm_mnist.yaml -y -d', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.STARTING], + timeout=60 + smoke_tests_utils.BUMP_UP_SECONDS), + # TPU takes a while to launch + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ + sky.ManagedJobStatus.RUNNING, sky.ManagedJobStatus.SUCCEEDED + ], + timeout=900 + smoke_tests_utils.BUMP_UP_SECONDS), + ], + f'sky jobs cancel -y -n {name}', + # Increase timeout since sky jobs queue -r can be blocked by other spot tests. + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Testing env for managed jobs ---------- +@pytest.mark.managed_jobs +def test_managed_jobs_inline_env(generic_cloud: str): + """Test managed jobs env""" + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'test-managed-jobs-inline-env', + [ + f'sky jobs launch -n {name} -y --cloud {generic_cloud} --env TEST_ENV="hello world" -- "echo "\\$TEST_ENV"; ([[ ! -z \\"\$TEST_ENV\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_IPS}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_RANK}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NUM_NODES}\\" ]]) || exit 1"', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[sky.ManagedJobStatus.SUCCEEDED], + timeout=20 + smoke_tests_utils.BUMP_UP_SECONDS), + f'JOB_ROW=$(sky jobs queue | grep {name} | head -n1) && ' + f'echo "$JOB_ROW" && echo "$JOB_ROW" | grep "SUCCEEDED" && ' + f'JOB_ID=$(echo "$JOB_ROW" | awk \'{{print $1}}\') && ' + f'echo "JOB_ID=$JOB_ID" && ' + # Test that logs are still available after the job finishes. + 'unset SKYPILOT_DEBUG; s=$(sky jobs logs $JOB_ID --refresh) && echo "$s" && echo "$s" | grep "hello world" && ' + # Make sure we skip the unnecessary logs. + 'echo "$s" | head -n1 | grep "Waiting for"', + ], + f'sky jobs cancel -y -n {name}', + # Increase timeout since sky jobs queue -r can be blocked by other spot tests. + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) diff --git a/tests/smoke_tests/test_mount_and_storage.py b/tests/smoke_tests/test_mount_and_storage.py new file mode 100644 index 00000000000..93a5f22c274 --- /dev/null +++ b/tests/smoke_tests/test_mount_and_storage.py @@ -0,0 +1,1492 @@ +# Smoke tests for SkyPilot for mounting storage +# Default options are set in pyproject.toml +# Example usage: +# Run all tests except for AWS and Lambda Cloud +# > pytest tests/smoke_tests/test_mount_and_storage.py +# +# Terminate failed clusters after test finishes +# > pytest tests/smoke_tests/test_mount_and_storage.py --terminate-on-failure +# +# Re-run last failed tests +# > pytest --lf +# +# Run one of the smoke tests +# > pytest tests/smoke_tests/test_mount_and_storage.py::test_file_mounts +# +# Only run test for AWS + generic tests +# > pytest tests/smoke_tests/test_mount_and_storage.py --aws +# +# Change cloud for generic tests to aws +# > pytest tests/smoke_tests/test_mount_and_storage.py --generic-cloud aws + +import os +import pathlib +import shlex +import shutil +import subprocess +import tempfile +import time +from typing import Dict, Optional, TextIO +import urllib.parse +import uuid + +import jinja2 +import pytest +from smoke_tests import smoke_tests_utils + +import sky +from sky import global_user_state +from sky import skypilot_config +from sky.adaptors import cloudflare +from sky.adaptors import ibm +from sky.data import data_utils +from sky.data import storage as storage_lib +from sky.data.data_utils import Rclone + + +# ---------- file_mounts ---------- +@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet. Run test_scp_file_mounts instead. +def test_file_mounts(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + extra_flags = '' + if generic_cloud in 'kubernetes': + # Kubernetes does not support multi-node + # NOTE: This test will fail if you have a Kubernetes cluster running on + # arm64 (e.g., Apple Silicon) since goofys does not work on arm64. + extra_flags = '--num-nodes 1' + test_commands = [ + *smoke_tests_utils.STORAGE_SETUP_COMMANDS, + f'sky launch -y -c {name} --cloud {generic_cloud} {extra_flags} examples/using_file_mounts.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + ] + test = smoke_tests_utils.Test( + 'using_file_mounts', + test_commands, + f'sky down -y {name}', + smoke_tests_utils.get_timeout(generic_cloud, 20 * 60), # 20 mins + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.scp +def test_scp_file_mounts(): + name = smoke_tests_utils.get_cluster_name() + test_commands = [ + *smoke_tests_utils.STORAGE_SETUP_COMMANDS, + f'sky launch -y -c {name} {smoke_tests_utils.SCP_TYPE} --num-nodes 1 examples/using_file_mounts.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + ] + test = smoke_tests_utils.Test( + 'SCP_using_file_mounts', + test_commands, + f'sky down -y {name}', + timeout=20 * 60, # 20 mins + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.no_fluidstack # Requires GCP to be enabled +def test_using_file_mounts_with_env_vars(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + storage_name = TestStorageWithCredentials.generate_bucket_name() + test_commands = [ + *smoke_tests_utils.STORAGE_SETUP_COMMANDS, + (f'sky launch -y -c {name} --cpus 2+ --cloud {generic_cloud} ' + 'examples/using_file_mounts_with_env_vars.yaml ' + f'--env MY_BUCKET={storage_name}'), + f'sky logs {name} 1 --status', # Ensure the job succeeded. + # Override with --env: + (f'sky launch -y -c {name}-2 --cpus 2+ --cloud {generic_cloud} ' + 'examples/using_file_mounts_with_env_vars.yaml ' + f'--env MY_BUCKET={storage_name} ' + '--env MY_LOCAL_PATH=tmpfile'), + f'sky logs {name}-2 1 --status', # Ensure the job succeeded. + ] + test = smoke_tests_utils.Test( + 'using_file_mounts_with_env_vars', + test_commands, + (f'sky down -y {name} {name}-2', + f'sky storage delete -y {storage_name} {storage_name}-2'), + timeout=20 * 60, # 20 mins + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- storage ---------- +def _storage_mounts_commands_generator(f: TextIO, cluster_name: str, + storage_name: str, ls_hello_command: str, + cloud: str, only_mount: bool): + template_str = pathlib.Path( + 'tests/test_yamls/test_storage_mounting.yaml.j2').read_text() + template = jinja2.Template(template_str) + content = template.render( + storage_name=storage_name, + cloud=cloud, + only_mount=only_mount, + ) + f.write(content) + f.flush() + file_path = f.name + test_commands = [ + *smoke_tests_utils.STORAGE_SETUP_COMMANDS, + f'sky launch -y -c {cluster_name} --cloud {cloud} {file_path}', + f'sky logs {cluster_name} 1 --status', # Ensure job succeeded. + ls_hello_command, + f'sky stop -y {cluster_name}', + f'sky start -y {cluster_name}', + # Check if hello.txt from mounting bucket exists after restart in + # the mounted directory + f'sky exec {cluster_name} -- "set -ex; ls /mount_private_mount/hello.txt"', + ] + clean_command = f'sky down -y {cluster_name}; sky storage delete -y {storage_name}' + return test_commands, clean_command + + +@pytest.mark.aws +def test_aws_storage_mounts_with_stop(): + name = smoke_tests_utils.get_cluster_name() + cloud = 'aws' + storage_name = f'sky-test-{int(time.time())}' + ls_hello_command = f'aws s3 ls {storage_name}/hello.txt' + with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: + test_commands, clean_command = _storage_mounts_commands_generator( + f, name, storage_name, ls_hello_command, cloud, False) + test = smoke_tests_utils.Test( + 'aws_storage_mounts', + test_commands, + clean_command, + timeout=20 * 60, # 20 mins + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.aws +def test_aws_storage_mounts_with_stop_only_mount(): + name = smoke_tests_utils.get_cluster_name() + cloud = 'aws' + storage_name = f'sky-test-{int(time.time())}' + ls_hello_command = f'aws s3 ls {storage_name}/hello.txt' + with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: + test_commands, clean_command = _storage_mounts_commands_generator( + f, name, storage_name, ls_hello_command, cloud, True) + test = smoke_tests_utils.Test( + 'aws_storage_mounts_only_mount', + test_commands, + clean_command, + timeout=20 * 60, # 20 mins + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +def test_gcp_storage_mounts_with_stop(): + name = smoke_tests_utils.get_cluster_name() + cloud = 'gcp' + storage_name = f'sky-test-{int(time.time())}' + ls_hello_command = f'gsutil ls gs://{storage_name}/hello.txt' + with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: + test_commands, clean_command = _storage_mounts_commands_generator( + f, name, storage_name, ls_hello_command, cloud, False) + test = smoke_tests_utils.Test( + 'gcp_storage_mounts', + test_commands, + clean_command, + timeout=20 * 60, # 20 mins + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.azure +def test_azure_storage_mounts_with_stop(): + name = smoke_tests_utils.get_cluster_name() + cloud = 'azure' + storage_name = f'sky-test-{int(time.time())}' + default_region = 'eastus' + storage_account_name = (storage_lib.AzureBlobStore. + get_default_storage_account_name(default_region)) + storage_account_key = data_utils.get_az_storage_account_key( + storage_account_name) + # if the file does not exist, az storage blob list returns '[]' + ls_hello_command = (f'output=$(az storage blob list -c {storage_name} ' + f'--account-name {storage_account_name} ' + f'--account-key {storage_account_key} ' + f'--prefix hello.txt) ' + f'[ "$output" = "[]" ] && exit 1 || exit 0') + with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: + test_commands, clean_command = _storage_mounts_commands_generator( + f, name, storage_name, ls_hello_command, cloud, False) + test = smoke_tests_utils.Test( + 'azure_storage_mounts', + test_commands, + clean_command, + timeout=20 * 60, # 20 mins + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.kubernetes +def test_kubernetes_storage_mounts(): + # Tests bucket mounting on k8s, assuming S3 is configured. + # This test will fail if run on non x86_64 architecture, since goofys is + # built for x86_64 only. + name = smoke_tests_utils.get_cluster_name() + storage_name = f'sky-test-{int(time.time())}' + ls_hello_command = (f'aws s3 ls {storage_name}/hello.txt || ' + f'gsutil ls gs://{storage_name}/hello.txt') + with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: + test_commands, clean_command = _storage_mounts_commands_generator( + f, name, storage_name, ls_hello_command, 'kubernetes', False) + test = smoke_tests_utils.Test( + 'kubernetes_storage_mounts', + test_commands, + clean_command, + timeout=20 * 60, # 20 mins + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.kubernetes +def test_kubernetes_context_switch(): + name = smoke_tests_utils.get_cluster_name() + new_context = f'sky-test-context-{int(time.time())}' + new_namespace = f'sky-test-namespace-{int(time.time())}' + + test_commands = [ + # Launch a cluster and run a simple task + f'sky launch -y -c {name} --cloud kubernetes "echo Hello from original context"', + f'sky logs {name} 1 --status', # Ensure job succeeded + + # Get current context details and save to a file for later use in cleanup + 'CURRENT_CONTEXT=$(kubectl config current-context); ' + 'echo "$CURRENT_CONTEXT" > /tmp/sky_test_current_context; ' + 'CURRENT_CLUSTER=$(kubectl config view -o jsonpath="{.contexts[?(@.name==\\"$CURRENT_CONTEXT\\")].context.cluster}"); ' + 'CURRENT_USER=$(kubectl config view -o jsonpath="{.contexts[?(@.name==\\"$CURRENT_CONTEXT\\")].context.user}"); ' + + # Create a new context with a different name and namespace + f'kubectl config set-context {new_context} --cluster="$CURRENT_CLUSTER" --user="$CURRENT_USER" --namespace={new_namespace}', + + # Create the new namespace if it doesn't exist + f'kubectl create namespace {new_namespace} --dry-run=client -o yaml | kubectl apply -f -', + + # Set the new context as active + f'kubectl config use-context {new_context}', + + # Verify the new context is active + f'[ "$(kubectl config current-context)" = "{new_context}" ] || exit 1', + + # Try to run sky exec on the original cluster (should still work) + f'sky exec {name} "echo Success: sky exec works after context switch"', + + # Test sky queue + f'sky queue {name}', + + # Test SSH access + f'ssh {name} whoami', + ] + + cleanup_commands = ( + f'kubectl delete namespace {new_namespace}; ' + f'kubectl config delete-context {new_context}; ' + 'kubectl config use-context $(cat /tmp/sky_test_current_context); ' + 'rm /tmp/sky_test_current_context; ' + f'sky down -y {name}') + + test = smoke_tests_utils.Test( + 'kubernetes_context_switch', + test_commands, + cleanup_commands, + timeout=20 * 60, # 20 mins + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.parametrize( + 'image_id', + [ + 'docker:nvidia/cuda:11.8.0-devel-ubuntu18.04', + 'docker:ubuntu:18.04', + # Test image with python 3.11 installed by default. + 'docker:continuumio/miniconda3:24.1.2-0', + # Test python>=3.12 where SkyPilot should automatically create a separate + # conda env for runtime with python 3.10. + 'docker:continuumio/miniconda3:latest', + ]) +def test_docker_storage_mounts(generic_cloud: str, image_id: str): + # Tests bucket mounting on docker container + name = smoke_tests_utils.get_cluster_name() + timestamp = str(time.time()).replace('.', '') + storage_name = f'sky-test-{timestamp}' + template_str = pathlib.Path( + 'tests/test_yamls/test_storage_mounting.yaml.j2').read_text() + template = jinja2.Template(template_str) + # ubuntu 18.04 does not support fuse3, and blobfuse2 depends on fuse3. + azure_mount_unsupported_ubuntu_version = '18.04' + # Commands to verify bucket upload. We need to check all three + # storage types because the optimizer may pick any of them. + s3_command = f'aws s3 ls {storage_name}/hello.txt' + gsutil_command = f'gsutil ls gs://{storage_name}/hello.txt' + azure_blob_command = TestStorageWithCredentials.cli_ls_cmd( + storage_lib.StoreType.AZURE, storage_name, suffix='hello.txt') + if azure_mount_unsupported_ubuntu_version in image_id: + # The store for mount_private_mount is not specified in the template. + # If we're running on Azure, the private mount will be created on + # azure blob. That will not be supported on the ubuntu 18.04 image + # and thus fail. For other clouds, the private mount on other + # storage types (GCS/S3) should succeed. + include_private_mount = False if generic_cloud == 'azure' else True + content = template.render(storage_name=storage_name, + include_azure_mount=False, + include_private_mount=include_private_mount) + else: + content = template.render(storage_name=storage_name,) + with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: + f.write(content) + f.flush() + file_path = f.name + test_commands = [ + *smoke_tests_utils.STORAGE_SETUP_COMMANDS, + f'sky launch -y -c {name} --cloud {generic_cloud} --image-id {image_id} {file_path}', + f'sky logs {name} 1 --status', # Ensure job succeeded. + # Check AWS, GCP, or Azure storage mount. + f'{s3_command} || ' + f'{gsutil_command} || ' + f'{azure_blob_command}', + ] + test = smoke_tests_utils.Test( + 'docker_storage_mounts', + test_commands, + f'sky down -y {name}; sky storage delete -y {storage_name}', + timeout=20 * 60, # 20 mins + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.cloudflare +def test_cloudflare_storage_mounts(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + storage_name = f'sky-test-{int(time.time())}' + template_str = pathlib.Path( + 'tests/test_yamls/test_r2_storage_mounting.yaml').read_text() + template = jinja2.Template(template_str) + content = template.render(storage_name=storage_name) + endpoint_url = cloudflare.create_endpoint() + with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: + f.write(content) + f.flush() + file_path = f.name + test_commands = [ + *smoke_tests_utils.STORAGE_SETUP_COMMANDS, + f'sky launch -y -c {name} --cloud {generic_cloud} {file_path}', + f'sky logs {name} 1 --status', # Ensure job succeeded. + f'AWS_SHARED_CREDENTIALS_FILE={cloudflare.R2_CREDENTIALS_PATH} aws s3 ls s3://{storage_name}/hello.txt --endpoint {endpoint_url} --profile=r2' + ] + + test = smoke_tests_utils.Test( + 'cloudflare_storage_mounts', + test_commands, + f'sky down -y {name}; sky storage delete -y {storage_name}', + timeout=20 * 60, # 20 mins + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.ibm +def test_ibm_storage_mounts(): + name = smoke_tests_utils.get_cluster_name() + storage_name = f'sky-test-{int(time.time())}' + bucket_rclone_profile = Rclone.generate_rclone_bucket_profile_name( + storage_name, Rclone.RcloneClouds.IBM) + template_str = pathlib.Path( + 'tests/test_yamls/test_ibm_cos_storage_mounting.yaml').read_text() + template = jinja2.Template(template_str) + content = template.render(storage_name=storage_name) + with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: + f.write(content) + f.flush() + file_path = f.name + test_commands = [ + *smoke_tests_utils.STORAGE_SETUP_COMMANDS, + f'sky launch -y -c {name} --cloud ibm {file_path}', + f'sky logs {name} 1 --status', # Ensure job succeeded. + f'rclone ls {bucket_rclone_profile}:{storage_name}/hello.txt', + ] + test = smoke_tests_utils.Test( + 'ibm_storage_mounts', + test_commands, + f'sky down -y {name}; sky storage delete -y {storage_name}', + timeout=20 * 60, # 20 mins + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Testing Storage ---------- +class TestStorageWithCredentials: + """Storage tests which require credentials and network connection""" + + AWS_INVALID_NAMES = [ + 'ab', # less than 3 characters + 'abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz1', + # more than 63 characters + 'Abcdef', # contains an uppercase letter + 'abc def', # contains a space + 'abc..def', # two adjacent periods + '192.168.5.4', # formatted as an IP address + 'xn--bucket', # starts with 'xn--' prefix + 'bucket-s3alias', # ends with '-s3alias' suffix + 'bucket--ol-s3', # ends with '--ol-s3' suffix + '.abc', # starts with a dot + 'abc.', # ends with a dot + '-abc', # starts with a hyphen + 'abc-', # ends with a hyphen + ] + + GCS_INVALID_NAMES = [ + 'ab', # less than 3 characters + 'abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz1', + # more than 63 characters (without dots) + 'Abcdef', # contains an uppercase letter + 'abc def', # contains a space + 'abc..def', # two adjacent periods + 'abc_.def.ghi.jklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz1' + # More than 63 characters between dots + 'abc_.def.ghi.jklmnopqrstuvwxyzabcdefghijklmnopqfghijklmnopqrstuvw' * 5, + # more than 222 characters (with dots) + '192.168.5.4', # formatted as an IP address + 'googbucket', # starts with 'goog' prefix + 'googlebucket', # contains 'google' + 'g00glebucket', # variant of 'google' + 'go0glebucket', # variant of 'google' + 'g0oglebucket', # variant of 'google' + '.abc', # starts with a dot + 'abc.', # ends with a dot + '_abc', # starts with an underscore + 'abc_', # ends with an underscore + ] + + AZURE_INVALID_NAMES = [ + 'ab', # less than 3 characters + # more than 63 characters + 'abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz1', + 'Abcdef', # contains an uppercase letter + '.abc', # starts with a non-letter(dot) + 'a--bc', # contains consecutive hyphens + ] + + IBM_INVALID_NAMES = [ + 'ab', # less than 3 characters + 'abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz1', + # more than 63 characters + 'Abcdef', # contains an uppercase letter + 'abc def', # contains a space + 'abc..def', # two adjacent periods + '192.168.5.4', # formatted as an IP address + 'xn--bucket', # starts with 'xn--' prefix + '.abc', # starts with a dot + 'abc.', # ends with a dot + '-abc', # starts with a hyphen + 'abc-', # ends with a hyphen + 'a.-bc', # contains the sequence '.-' + 'a-.bc', # contains the sequence '-.' + 'a&bc' # contains special characters + 'ab^c' # contains special characters + ] + GITIGNORE_SYNC_TEST_DIR_STRUCTURE = { + 'double_asterisk': { + 'double_asterisk_excluded': None, + 'double_asterisk_excluded_dir': { + 'dir_excluded': None, + }, + }, + 'double_asterisk_parent': { + 'parent': { + 'also_excluded.txt': None, + 'child': { + 'double_asterisk_parent_child_excluded.txt': None, + }, + 'double_asterisk_parent_excluded.txt': None, + }, + }, + 'excluded.log': None, + 'excluded_dir': { + 'excluded.txt': None, + 'nested_excluded': { + 'excluded': None, + }, + }, + 'exp-1': { + 'be_excluded': None, + }, + 'exp-2': { + 'be_excluded': None, + }, + 'front_slash_excluded': None, + 'included.log': None, + 'included.txt': None, + 'include_dir': { + 'excluded.log': None, + 'included.log': None, + }, + 'nested_double_asterisk': { + 'one': { + 'also_exclude.txt': None, + }, + 'two': { + 'also_exclude.txt': None, + }, + }, + 'nested_wildcard_dir': { + 'monday': { + 'also_exclude.txt': None, + }, + 'tuesday': { + 'also_exclude.txt': None, + }, + }, + 'no_slash_excluded': None, + 'no_slash_tests': { + 'no_slash_excluded': { + 'also_excluded.txt': None, + }, + }, + 'question_mark': { + 'excluded1.txt': None, + 'excluded@.txt': None, + }, + 'square_bracket': { + 'excluded1.txt': None, + }, + 'square_bracket_alpha': { + 'excludedz.txt': None, + }, + 'square_bracket_excla': { + 'excluded2.txt': None, + 'excluded@.txt': None, + }, + 'square_bracket_single': { + 'excluded0.txt': None, + }, + } + + @staticmethod + def create_dir_structure(base_path, structure): + # creates a given file STRUCTURE in BASE_PATH + for name, substructure in structure.items(): + path = os.path.join(base_path, name) + if substructure is None: + # Create a file + open(path, 'a', encoding='utf-8').close() + else: + # Create a subdirectory + os.mkdir(path) + TestStorageWithCredentials.create_dir_structure( + path, substructure) + + @staticmethod + def cli_delete_cmd(store_type, + bucket_name, + storage_account_name: str = None): + if store_type == storage_lib.StoreType.S3: + url = f's3://{bucket_name}' + return f'aws s3 rb {url} --force' + if store_type == storage_lib.StoreType.GCS: + url = f'gs://{bucket_name}' + gsutil_alias, alias_gen = data_utils.get_gsutil_command() + return f'{alias_gen}; {gsutil_alias} rm -r {url}' + if store_type == storage_lib.StoreType.AZURE: + default_region = 'eastus' + storage_account_name = ( + storage_lib.AzureBlobStore.get_default_storage_account_name( + default_region)) + storage_account_key = data_utils.get_az_storage_account_key( + storage_account_name) + return ('az storage container delete ' + f'--account-name {storage_account_name} ' + f'--account-key {storage_account_key} ' + f'--name {bucket_name}') + if store_type == storage_lib.StoreType.R2: + endpoint_url = cloudflare.create_endpoint() + url = f's3://{bucket_name}' + return f'AWS_SHARED_CREDENTIALS_FILE={cloudflare.R2_CREDENTIALS_PATH} aws s3 rb {url} --force --endpoint {endpoint_url} --profile=r2' + if store_type == storage_lib.StoreType.IBM: + bucket_rclone_profile = Rclone.generate_rclone_bucket_profile_name( + bucket_name, Rclone.RcloneClouds.IBM) + return f'rclone purge {bucket_rclone_profile}:{bucket_name} && rclone config delete {bucket_rclone_profile}' + + @staticmethod + def cli_ls_cmd(store_type, bucket_name, suffix=''): + if store_type == storage_lib.StoreType.S3: + if suffix: + url = f's3://{bucket_name}/{suffix}' + else: + url = f's3://{bucket_name}' + return f'aws s3 ls {url}' + if store_type == storage_lib.StoreType.GCS: + if suffix: + url = f'gs://{bucket_name}/{suffix}' + else: + url = f'gs://{bucket_name}' + return f'gsutil ls {url}' + if store_type == storage_lib.StoreType.AZURE: + default_region = 'eastus' + config_storage_account = skypilot_config.get_nested( + ('azure', 'storage_account'), None) + storage_account_name = config_storage_account if ( + config_storage_account is not None) else ( + storage_lib.AzureBlobStore.get_default_storage_account_name( + default_region)) + storage_account_key = data_utils.get_az_storage_account_key( + storage_account_name) + list_cmd = ('az storage blob list ' + f'--container-name {bucket_name} ' + f'--prefix {shlex.quote(suffix)} ' + f'--account-name {storage_account_name} ' + f'--account-key {storage_account_key}') + return list_cmd + if store_type == storage_lib.StoreType.R2: + endpoint_url = cloudflare.create_endpoint() + if suffix: + url = f's3://{bucket_name}/{suffix}' + else: + url = f's3://{bucket_name}' + return f'AWS_SHARED_CREDENTIALS_FILE={cloudflare.R2_CREDENTIALS_PATH} aws s3 ls {url} --endpoint {endpoint_url} --profile=r2' + if store_type == storage_lib.StoreType.IBM: + bucket_rclone_profile = Rclone.generate_rclone_bucket_profile_name( + bucket_name, Rclone.RcloneClouds.IBM) + return f'rclone ls {bucket_rclone_profile}:{bucket_name}/{suffix}' + + @staticmethod + def cli_region_cmd(store_type, bucket_name=None, storage_account_name=None): + if store_type == storage_lib.StoreType.S3: + assert bucket_name is not None + return ('aws s3api get-bucket-location ' + f'--bucket {bucket_name} --output text') + elif store_type == storage_lib.StoreType.GCS: + assert bucket_name is not None + return (f'gsutil ls -L -b gs://{bucket_name}/ | ' + 'grep "Location constraint" | ' + 'awk \'{print tolower($NF)}\'') + elif store_type == storage_lib.StoreType.AZURE: + # For Azure Blob Storage, the location of the containers are + # determined by the location of storage accounts. + assert storage_account_name is not None + return (f'az storage account show --name {storage_account_name} ' + '--query "primaryLocation" --output tsv') + else: + raise NotImplementedError(f'Region command not implemented for ' + f'{store_type}') + + @staticmethod + def cli_count_name_in_bucket(store_type, + bucket_name, + file_name, + suffix='', + storage_account_name=None): + if store_type == storage_lib.StoreType.S3: + if suffix: + return f'aws s3api list-objects --bucket "{bucket_name}" --prefix {suffix} --query "length(Contents[?contains(Key,\'{file_name}\')].Key)"' + else: + return f'aws s3api list-objects --bucket "{bucket_name}" --query "length(Contents[?contains(Key,\'{file_name}\')].Key)"' + elif store_type == storage_lib.StoreType.GCS: + if suffix: + return f'gsutil ls -r gs://{bucket_name}/{suffix} | grep "{file_name}" | wc -l' + else: + return f'gsutil ls -r gs://{bucket_name} | grep "{file_name}" | wc -l' + elif store_type == storage_lib.StoreType.AZURE: + if storage_account_name is None: + default_region = 'eastus' + storage_account_name = ( + storage_lib.AzureBlobStore.get_default_storage_account_name( + default_region)) + storage_account_key = data_utils.get_az_storage_account_key( + storage_account_name) + return ('az storage blob list ' + f'--container-name {bucket_name} ' + f'--prefix {shlex.quote(suffix)} ' + f'--account-name {storage_account_name} ' + f'--account-key {storage_account_key} | ' + f'grep {file_name} | ' + 'wc -l') + elif store_type == storage_lib.StoreType.R2: + endpoint_url = cloudflare.create_endpoint() + if suffix: + return f'AWS_SHARED_CREDENTIALS_FILE={cloudflare.R2_CREDENTIALS_PATH} aws s3api list-objects --bucket "{bucket_name}" --prefix {suffix} --query "length(Contents[?contains(Key,\'{file_name}\')].Key)" --endpoint {endpoint_url} --profile=r2' + else: + return f'AWS_SHARED_CREDENTIALS_FILE={cloudflare.R2_CREDENTIALS_PATH} aws s3api list-objects --bucket "{bucket_name}" --query "length(Contents[?contains(Key,\'{file_name}\')].Key)" --endpoint {endpoint_url} --profile=r2' + + @staticmethod + def cli_count_file_in_bucket(store_type, bucket_name): + if store_type == storage_lib.StoreType.S3: + return f'aws s3 ls s3://{bucket_name} --recursive | wc -l' + elif store_type == storage_lib.StoreType.GCS: + return f'gsutil ls -r gs://{bucket_name}/** | wc -l' + elif store_type == storage_lib.StoreType.AZURE: + default_region = 'eastus' + storage_account_name = ( + storage_lib.AzureBlobStore.get_default_storage_account_name( + default_region)) + storage_account_key = data_utils.get_az_storage_account_key( + storage_account_name) + return ('az storage blob list ' + f'--container-name {bucket_name} ' + f'--account-name {storage_account_name} ' + f'--account-key {storage_account_key} | ' + 'grep \\"name\\": | ' + 'wc -l') + elif store_type == storage_lib.StoreType.R2: + endpoint_url = cloudflare.create_endpoint() + return f'AWS_SHARED_CREDENTIALS_FILE={cloudflare.R2_CREDENTIALS_PATH} aws s3 ls s3://{bucket_name} --recursive --endpoint {endpoint_url} --profile=r2 | wc -l' + + @pytest.fixture + def tmp_source(self, tmp_path): + # Creates a temporary directory with a file in it + tmp_dir = tmp_path / 'tmp-source' + tmp_dir.mkdir() + tmp_file = tmp_dir / 'tmp-file' + tmp_file.write_text('test') + circle_link = tmp_dir / 'circle-link' + circle_link.symlink_to(tmp_dir, target_is_directory=True) + yield str(tmp_dir) + + @staticmethod + def generate_bucket_name(): + # Creates a temporary bucket name + # time.time() returns varying precision on different systems, so we + # replace the decimal point and use whatever precision we can get. + timestamp = str(time.time()).replace('.', '') + return f'sky-test-{timestamp}' + + @pytest.fixture + def tmp_bucket_name(self): + yield self.generate_bucket_name() + + @staticmethod + def yield_storage_object( + name: Optional[str] = None, + source: Optional[storage_lib.Path] = None, + stores: Optional[Dict[storage_lib.StoreType, + storage_lib.AbstractStore]] = None, + persistent: Optional[bool] = True, + mode: storage_lib.StorageMode = storage_lib.StorageMode.MOUNT): + # Creates a temporary storage object. Stores must be added in the test. + storage_obj = storage_lib.Storage(name=name, + source=source, + stores=stores, + persistent=persistent, + mode=mode) + yield storage_obj + handle = global_user_state.get_handle_from_storage_name( + storage_obj.name) + if handle: + # If handle exists, delete manually + # TODO(romilb): This is potentially risky - if the delete method has + # bugs, this can cause resource leaks. Ideally we should manually + # eject storage from global_user_state and delete the bucket using + # boto3 directly. + storage_obj.delete() + + @pytest.fixture + def tmp_scratch_storage_obj(self, tmp_bucket_name): + # Creates a storage object with no source to create a scratch storage. + # Stores must be added in the test. + yield from self.yield_storage_object(name=tmp_bucket_name) + + @pytest.fixture + def tmp_multiple_scratch_storage_obj(self): + # Creates a list of 5 storage objects with no source to create + # multiple scratch storages. + # Stores for each object in the list must be added in the test. + storage_mult_obj = [] + for _ in range(5): + timestamp = str(time.time()).replace('.', '') + store_obj = storage_lib.Storage(name=f'sky-test-{timestamp}') + storage_mult_obj.append(store_obj) + yield storage_mult_obj + for storage_obj in storage_mult_obj: + handle = global_user_state.get_handle_from_storage_name( + storage_obj.name) + if handle: + # If handle exists, delete manually + # TODO(romilb): This is potentially risky - if the delete method has + # bugs, this can cause resource leaks. Ideally we should manually + # eject storage from global_user_state and delete the bucket using + # boto3 directly. + storage_obj.delete() + + @pytest.fixture + def tmp_multiple_custom_source_storage_obj(self): + # Creates a list of storage objects with custom source names to + # create multiple scratch storages. + # Stores for each object in the list must be added in the test. + custom_source_names = ['"path With Spaces"', 'path With Spaces'] + storage_mult_obj = [] + for name in custom_source_names: + src_path = os.path.expanduser(f'~/{name}') + pathlib.Path(src_path).expanduser().mkdir(exist_ok=True) + timestamp = str(time.time()).replace('.', '') + store_obj = storage_lib.Storage(name=f'sky-test-{timestamp}', + source=src_path) + storage_mult_obj.append(store_obj) + yield storage_mult_obj + for storage_obj in storage_mult_obj: + handle = global_user_state.get_handle_from_storage_name( + storage_obj.name) + if handle: + storage_obj.delete() + + @pytest.fixture + def tmp_local_storage_obj(self, tmp_bucket_name, tmp_source): + # Creates a temporary storage object. Stores must be added in the test. + yield from self.yield_storage_object(name=tmp_bucket_name, + source=tmp_source) + + @pytest.fixture + def tmp_local_list_storage_obj(self, tmp_bucket_name, tmp_source): + # Creates a temp storage object which uses a list of paths as source. + # Stores must be added in the test. After upload, the bucket should + # have two files - /tmp-file and /tmp-source/tmp-file + list_source = [tmp_source, tmp_source + '/tmp-file'] + yield from self.yield_storage_object(name=tmp_bucket_name, + source=list_source) + + @pytest.fixture + def tmp_bulk_del_storage_obj(self, tmp_bucket_name): + # Creates a temporary storage object for testing bulk deletion. + # Stores must be added in the test. + with tempfile.TemporaryDirectory() as tmpdir: + subprocess.check_output(f'mkdir -p {tmpdir}/folder{{000..255}}', + shell=True) + subprocess.check_output(f'touch {tmpdir}/test{{000..255}}.txt', + shell=True) + subprocess.check_output( + f'touch {tmpdir}/folder{{000..255}}/test.txt', shell=True) + yield from self.yield_storage_object(name=tmp_bucket_name, + source=tmpdir) + + @pytest.fixture + def tmp_copy_mnt_existing_storage_obj(self, tmp_scratch_storage_obj): + # Creates a copy mount storage which reuses an existing storage object. + tmp_scratch_storage_obj.add_store(storage_lib.StoreType.S3) + storage_name = tmp_scratch_storage_obj.name + + # Try to initialize another storage with the storage object created + # above, but now in COPY mode. This should succeed. + yield from self.yield_storage_object(name=storage_name, + mode=storage_lib.StorageMode.COPY) + + @pytest.fixture + def tmp_gitignore_storage_obj(self, tmp_bucket_name, gitignore_structure): + # Creates a temporary storage object for testing .gitignore filter. + # GITIGINORE_STRUCTURE is representing a file structure in a dictionary + # format. Created storage object will contain the file structure along + # with .gitignore and .git/info/exclude files to test exclude filter. + # Stores must be added in the test. + with tempfile.TemporaryDirectory() as tmpdir: + # Creates file structure to be uploaded in the Storage + self.create_dir_structure(tmpdir, gitignore_structure) + + # Create .gitignore and list files/dirs to be excluded in it + skypilot_path = os.path.dirname(os.path.dirname(sky.__file__)) + temp_path = f'{tmpdir}/.gitignore' + file_path = os.path.join(skypilot_path, 'tests/gitignore_test') + shutil.copyfile(file_path, temp_path) + + # Create .git/info/exclude and list files/dirs to be excluded in it + temp_path = f'{tmpdir}/.git/info/' + os.makedirs(temp_path) + temp_exclude_path = os.path.join(temp_path, 'exclude') + file_path = os.path.join(skypilot_path, + 'tests/git_info_exclude_test') + shutil.copyfile(file_path, temp_exclude_path) + + # Create sky Storage with the files created + yield from self.yield_storage_object( + name=tmp_bucket_name, + source=tmpdir, + mode=storage_lib.StorageMode.COPY) + + @pytest.fixture + def tmp_awscli_bucket(self, tmp_bucket_name): + # Creates a temporary bucket using awscli + bucket_uri = f's3://{tmp_bucket_name}' + subprocess.check_call(['aws', 's3', 'mb', bucket_uri]) + yield tmp_bucket_name, bucket_uri + subprocess.check_call(['aws', 's3', 'rb', bucket_uri, '--force']) + + @pytest.fixture + def tmp_gsutil_bucket(self, tmp_bucket_name): + # Creates a temporary bucket using gsutil + bucket_uri = f'gs://{tmp_bucket_name}' + subprocess.check_call(['gsutil', 'mb', bucket_uri]) + yield tmp_bucket_name, bucket_uri + subprocess.check_call(['gsutil', 'rm', '-r', bucket_uri]) + + @pytest.fixture + def tmp_az_bucket(self, tmp_bucket_name): + # Creates a temporary bucket using gsutil + default_region = 'eastus' + storage_account_name = ( + storage_lib.AzureBlobStore.get_default_storage_account_name( + default_region)) + storage_account_key = data_utils.get_az_storage_account_key( + storage_account_name) + bucket_uri = data_utils.AZURE_CONTAINER_URL.format( + storage_account_name=storage_account_name, + container_name=tmp_bucket_name) + subprocess.check_call([ + 'az', 'storage', 'container', 'create', '--name', + f'{tmp_bucket_name}', '--account-name', f'{storage_account_name}', + '--account-key', f'{storage_account_key}' + ]) + yield tmp_bucket_name, bucket_uri + subprocess.check_call([ + 'az', 'storage', 'container', 'delete', '--name', + f'{tmp_bucket_name}', '--account-name', f'{storage_account_name}', + '--account-key', f'{storage_account_key}' + ]) + + @pytest.fixture + def tmp_awscli_bucket_r2(self, tmp_bucket_name): + # Creates a temporary bucket using awscli + endpoint_url = cloudflare.create_endpoint() + bucket_uri = f's3://{tmp_bucket_name}' + subprocess.check_call( + f'AWS_SHARED_CREDENTIALS_FILE={cloudflare.R2_CREDENTIALS_PATH} aws s3 mb {bucket_uri} --endpoint {endpoint_url} --profile=r2', + shell=True) + yield tmp_bucket_name, bucket_uri + subprocess.check_call( + f'AWS_SHARED_CREDENTIALS_FILE={cloudflare.R2_CREDENTIALS_PATH} aws s3 rb {bucket_uri} --force --endpoint {endpoint_url} --profile=r2', + shell=True) + + @pytest.fixture + def tmp_ibm_cos_bucket(self, tmp_bucket_name): + # Creates a temporary bucket using IBM COS API + storage_obj = storage_lib.IBMCosStore(source="", name=tmp_bucket_name) + yield tmp_bucket_name + storage_obj.delete() + + @pytest.fixture + def tmp_public_storage_obj(self, request): + # Initializes a storage object with a public bucket + storage_obj = storage_lib.Storage(source=request.param) + yield storage_obj + # This does not require any deletion logic because it is a public bucket + # and should not get added to global_user_state. + + @pytest.mark.no_fluidstack + @pytest.mark.parametrize('store_type', [ + storage_lib.StoreType.S3, storage_lib.StoreType.GCS, + pytest.param(storage_lib.StoreType.AZURE, marks=pytest.mark.azure), + pytest.param(storage_lib.StoreType.IBM, marks=pytest.mark.ibm), + pytest.param(storage_lib.StoreType.R2, marks=pytest.mark.cloudflare) + ]) + def test_new_bucket_creation_and_deletion(self, tmp_local_storage_obj, + store_type): + # Creates a new bucket with a local source, uploads files to it + # and deletes it. + tmp_local_storage_obj.add_store(store_type) + + # Run sky storage ls to check if storage object exists in the output + out = subprocess.check_output(['sky', 'storage', 'ls']) + assert tmp_local_storage_obj.name in out.decode('utf-8') + + # Run sky storage delete to delete the storage object + subprocess.check_output( + ['sky', 'storage', 'delete', tmp_local_storage_obj.name, '--yes']) + + # Run sky storage ls to check if storage object is deleted + out = subprocess.check_output(['sky', 'storage', 'ls']) + assert tmp_local_storage_obj.name not in out.decode('utf-8') + + @pytest.mark.no_fluidstack + @pytest.mark.xdist_group('multiple_bucket_deletion') + @pytest.mark.parametrize('store_type', [ + storage_lib.StoreType.S3, storage_lib.StoreType.GCS, + pytest.param(storage_lib.StoreType.AZURE, marks=pytest.mark.azure), + pytest.param(storage_lib.StoreType.R2, marks=pytest.mark.cloudflare), + pytest.param(storage_lib.StoreType.IBM, marks=pytest.mark.ibm) + ]) + def test_multiple_buckets_creation_and_deletion( + self, tmp_multiple_scratch_storage_obj, store_type): + # Creates multiple new buckets(5 buckets) with a local source + # and deletes them. + storage_obj_name = [] + for store_obj in tmp_multiple_scratch_storage_obj: + store_obj.add_store(store_type) + storage_obj_name.append(store_obj.name) + + # Run sky storage ls to check if all storage objects exists in the + # output filtered by store type + out_all = subprocess.check_output(['sky', 'storage', 'ls']) + out = [ + item.split()[0] + for item in out_all.decode('utf-8').splitlines() + if store_type.value in item + ] + assert all([item in out for item in storage_obj_name]) + + # Run sky storage delete all to delete all storage objects + delete_cmd = ['sky', 'storage', 'delete', '--yes'] + delete_cmd += storage_obj_name + subprocess.check_output(delete_cmd) + + # Run sky storage ls to check if all storage objects filtered by store + # type are deleted + out_all = subprocess.check_output(['sky', 'storage', 'ls']) + out = [ + item.split()[0] + for item in out_all.decode('utf-8').splitlines() + if store_type.value in item + ] + assert all([item not in out for item in storage_obj_name]) + + @pytest.mark.no_fluidstack + @pytest.mark.parametrize('store_type', [ + storage_lib.StoreType.S3, storage_lib.StoreType.GCS, + pytest.param(storage_lib.StoreType.AZURE, marks=pytest.mark.azure), + pytest.param(storage_lib.StoreType.IBM, marks=pytest.mark.ibm), + pytest.param(storage_lib.StoreType.R2, marks=pytest.mark.cloudflare) + ]) + def test_upload_source_with_spaces(self, store_type, + tmp_multiple_custom_source_storage_obj): + # Creates two buckets with specified local sources + # with spaces in the name + storage_obj_names = [] + for storage_obj in tmp_multiple_custom_source_storage_obj: + storage_obj.add_store(store_type) + storage_obj_names.append(storage_obj.name) + + # Run sky storage ls to check if all storage objects exists in the + # output filtered by store type + out_all = subprocess.check_output(['sky', 'storage', 'ls']) + out = [ + item.split()[0] + for item in out_all.decode('utf-8').splitlines() + if store_type.value in item + ] + assert all([item in out for item in storage_obj_names]) + + @pytest.mark.no_fluidstack + @pytest.mark.parametrize('store_type', [ + storage_lib.StoreType.S3, storage_lib.StoreType.GCS, + pytest.param(storage_lib.StoreType.AZURE, marks=pytest.mark.azure), + pytest.param(storage_lib.StoreType.IBM, marks=pytest.mark.ibm), + pytest.param(storage_lib.StoreType.R2, marks=pytest.mark.cloudflare) + ]) + def test_bucket_external_deletion(self, tmp_scratch_storage_obj, + store_type): + # Creates a bucket, deletes it externally using cloud cli commands + # and then tries to delete it using sky storage delete. + tmp_scratch_storage_obj.add_store(store_type) + + # Run sky storage ls to check if storage object exists in the output + out = subprocess.check_output(['sky', 'storage', 'ls']) + assert tmp_scratch_storage_obj.name in out.decode('utf-8') + + # Delete bucket externally + cmd = self.cli_delete_cmd(store_type, tmp_scratch_storage_obj.name) + subprocess.check_output(cmd, shell=True) + + # Run sky storage delete to delete the storage object + out = subprocess.check_output( + ['sky', 'storage', 'delete', tmp_scratch_storage_obj.name, '--yes']) + # Make sure bucket was not created during deletion (see issue #1322) + assert 'created' not in out.decode('utf-8').lower() + + # Run sky storage ls to check if storage object is deleted + out = subprocess.check_output(['sky', 'storage', 'ls']) + assert tmp_scratch_storage_obj.name not in out.decode('utf-8') + + @pytest.mark.no_fluidstack + @pytest.mark.parametrize('store_type', [ + storage_lib.StoreType.S3, storage_lib.StoreType.GCS, + pytest.param(storage_lib.StoreType.AZURE, marks=pytest.mark.azure), + pytest.param(storage_lib.StoreType.IBM, marks=pytest.mark.ibm), + pytest.param(storage_lib.StoreType.R2, marks=pytest.mark.cloudflare) + ]) + def test_bucket_bulk_deletion(self, store_type, tmp_bulk_del_storage_obj): + # Creates a temp folder with over 256 files and folders, upload + # files and folders to a new bucket, then delete bucket. + tmp_bulk_del_storage_obj.add_store(store_type) + + subprocess.check_output([ + 'sky', 'storage', 'delete', tmp_bulk_del_storage_obj.name, '--yes' + ]) + + output = subprocess.check_output(['sky', 'storage', 'ls']) + assert tmp_bulk_del_storage_obj.name not in output.decode('utf-8') + + @pytest.mark.no_fluidstack + @pytest.mark.parametrize( + 'tmp_public_storage_obj, store_type', + [('s3://tcga-2-open', storage_lib.StoreType.S3), + ('s3://digitalcorpora', storage_lib.StoreType.S3), + ('gs://gcp-public-data-sentinel-2', storage_lib.StoreType.GCS), + pytest.param( + 'https://azureopendatastorage.blob.core.windows.net/nyctlc', + storage_lib.StoreType.AZURE, + marks=pytest.mark.azure)], + indirect=['tmp_public_storage_obj']) + def test_public_bucket(self, tmp_public_storage_obj, store_type): + # Creates a new bucket with a public source and verifies that it is not + # added to global_user_state. + tmp_public_storage_obj.add_store(store_type) + + # Run sky storage ls to check if storage object exists in the output + out = subprocess.check_output(['sky', 'storage', 'ls']) + assert tmp_public_storage_obj.name not in out.decode('utf-8') + + @pytest.mark.no_fluidstack + @pytest.mark.parametrize( + 'nonexist_bucket_url', + [ + 's3://{random_name}', + 'gs://{random_name}', + pytest.param( + 'https://{account_name}.blob.core.windows.net/{random_name}', # pylint: disable=line-too-long + marks=pytest.mark.azure), + pytest.param('cos://us-east/{random_name}', marks=pytest.mark.ibm), + pytest.param('r2://{random_name}', marks=pytest.mark.cloudflare) + ]) + def test_nonexistent_bucket(self, nonexist_bucket_url): + # Attempts to create fetch a stroage with a non-existent source. + # Generate a random bucket name and verify it doesn't exist: + retry_count = 0 + while True: + nonexist_bucket_name = str(uuid.uuid4()) + if nonexist_bucket_url.startswith('s3'): + command = f'aws s3api head-bucket --bucket {nonexist_bucket_name}' + expected_output = '404' + elif nonexist_bucket_url.startswith('gs'): + command = f'gsutil ls {nonexist_bucket_url.format(random_name=nonexist_bucket_name)}' + expected_output = 'BucketNotFoundException' + elif nonexist_bucket_url.startswith('https'): + default_region = 'eastus' + storage_account_name = ( + storage_lib.AzureBlobStore.get_default_storage_account_name( + default_region)) + storage_account_key = data_utils.get_az_storage_account_key( + storage_account_name) + command = f'az storage container exists --account-name {storage_account_name} --account-key {storage_account_key} --name {nonexist_bucket_name}' + expected_output = '"exists": false' + elif nonexist_bucket_url.startswith('r2'): + endpoint_url = cloudflare.create_endpoint() + command = f'AWS_SHARED_CREDENTIALS_FILE={cloudflare.R2_CREDENTIALS_PATH} aws s3api head-bucket --bucket {nonexist_bucket_name} --endpoint {endpoint_url} --profile=r2' + expected_output = '404' + elif nonexist_bucket_url.startswith('cos'): + # Using API calls, since using rclone requires a profile's name + try: + expected_output = command = "echo" # avoid unrelated exception in case of failure. + bucket_name = urllib.parse.urlsplit( + nonexist_bucket_url.format( + random_name=nonexist_bucket_name)).path.strip('/') + client = ibm.get_cos_client('us-east') + client.head_bucket(Bucket=bucket_name) + except ibm.ibm_botocore.exceptions.ClientError as e: + if e.response['Error']['Code'] == '404': + # success + return + else: + raise ValueError('Unsupported bucket type ' + f'{nonexist_bucket_url}') + + # Check if bucket exists using the cli: + try: + out = subprocess.check_output(command, + stderr=subprocess.STDOUT, + shell=True) + except subprocess.CalledProcessError as e: + out = e.output + out = out.decode('utf-8') + if expected_output in out: + break + else: + retry_count += 1 + if retry_count > 3: + raise RuntimeError('Unable to find a nonexistent bucket ' + 'to use. This is higly unlikely - ' + 'check if the tests are correct.') + + with pytest.raises(sky.exceptions.StorageBucketGetError, + match='Attempted to use a non-existent'): + if nonexist_bucket_url.startswith('https'): + storage_obj = storage_lib.Storage( + source=nonexist_bucket_url.format( + account_name=storage_account_name, + random_name=nonexist_bucket_name)) + else: + storage_obj = storage_lib.Storage( + source=nonexist_bucket_url.format( + random_name=nonexist_bucket_name)) + + @pytest.mark.no_fluidstack + @pytest.mark.parametrize( + 'private_bucket', + [ + f's3://imagenet', + f'gs://imagenet', + pytest.param('https://smoketestprivate.blob.core.windows.net/test', + marks=pytest.mark.azure), # pylint: disable=line-too-long + pytest.param('cos://us-east/bucket1', marks=pytest.mark.ibm) + ]) + def test_private_bucket(self, private_bucket): + # Attempts to access private buckets not belonging to the user. + # These buckets are known to be private, but may need to be updated if + # they are removed by their owners. + store_type = urllib.parse.urlsplit(private_bucket).scheme + if store_type == 'https' or store_type == 'cos': + private_bucket_name = urllib.parse.urlsplit( + private_bucket).path.strip('/') + else: + private_bucket_name = urllib.parse.urlsplit(private_bucket).netloc + with pytest.raises( + sky.exceptions.StorageBucketGetError, + match=storage_lib._BUCKET_FAIL_TO_CONNECT_MESSAGE.format( + name=private_bucket_name)): + storage_obj = storage_lib.Storage(source=private_bucket) + + @pytest.mark.no_fluidstack + @pytest.mark.parametrize('ext_bucket_fixture, store_type', + [('tmp_awscli_bucket', storage_lib.StoreType.S3), + ('tmp_gsutil_bucket', storage_lib.StoreType.GCS), + pytest.param('tmp_az_bucket', + storage_lib.StoreType.AZURE, + marks=pytest.mark.azure), + pytest.param('tmp_ibm_cos_bucket', + storage_lib.StoreType.IBM, + marks=pytest.mark.ibm), + pytest.param('tmp_awscli_bucket_r2', + storage_lib.StoreType.R2, + marks=pytest.mark.cloudflare)]) + def test_upload_to_existing_bucket(self, ext_bucket_fixture, request, + tmp_source, store_type): + # Tries uploading existing files to newly created bucket (outside of + # sky) and verifies that files are written. + bucket_name, _ = request.getfixturevalue(ext_bucket_fixture) + storage_obj = storage_lib.Storage(name=bucket_name, source=tmp_source) + storage_obj.add_store(store_type) + + # Check if tmp_source/tmp-file exists in the bucket using aws cli + out = subprocess.check_output(self.cli_ls_cmd(store_type, bucket_name), + shell=True) + assert 'tmp-file' in out.decode('utf-8'), \ + 'File not found in bucket - output was : {}'.format(out.decode + ('utf-8')) + + # Check symlinks - symlinks don't get copied by sky storage + assert (pathlib.Path(tmp_source) / 'circle-link').is_symlink(), ( + 'circle-link was not found in the upload source - ' + 'are the test fixtures correct?') + assert 'circle-link' not in out.decode('utf-8'), ( + 'Symlink found in bucket - ls output was : {}'.format( + out.decode('utf-8'))) + + # Run sky storage ls to check if storage object exists in the output. + # It should not exist because the bucket was created externally. + out = subprocess.check_output(['sky', 'storage', 'ls']) + assert storage_obj.name not in out.decode('utf-8') + + @pytest.mark.no_fluidstack + def test_copy_mount_existing_storage(self, + tmp_copy_mnt_existing_storage_obj): + # Creates a bucket with no source in MOUNT mode (empty bucket), and + # then tries to load the same storage in COPY mode. + tmp_copy_mnt_existing_storage_obj.add_store(storage_lib.StoreType.S3) + storage_name = tmp_copy_mnt_existing_storage_obj.name + + # Check `sky storage ls` to ensure storage object exists + out = subprocess.check_output(['sky', 'storage', 'ls']).decode('utf-8') + assert storage_name in out, f'Storage {storage_name} not found in sky storage ls.' + + @pytest.mark.no_fluidstack + @pytest.mark.parametrize('store_type', [ + storage_lib.StoreType.S3, storage_lib.StoreType.GCS, + pytest.param(storage_lib.StoreType.AZURE, marks=pytest.mark.azure), + pytest.param(storage_lib.StoreType.IBM, marks=pytest.mark.ibm), + pytest.param(storage_lib.StoreType.R2, marks=pytest.mark.cloudflare) + ]) + def test_list_source(self, tmp_local_list_storage_obj, store_type): + # Uses a list in the source field to specify a file and a directory to + # be uploaded to the storage object. + tmp_local_list_storage_obj.add_store(store_type) + + # Check if tmp-file exists in the bucket root using cli + out = subprocess.check_output(self.cli_ls_cmd( + store_type, tmp_local_list_storage_obj.name), + shell=True) + assert 'tmp-file' in out.decode('utf-8'), \ + 'File not found in bucket - output was : {}'.format(out.decode + ('utf-8')) + + # Check if tmp-file exists in the bucket/tmp-source using cli + out = subprocess.check_output(self.cli_ls_cmd( + store_type, tmp_local_list_storage_obj.name, 'tmp-source/'), + shell=True) + assert 'tmp-file' in out.decode('utf-8'), \ + 'File not found in bucket - output was : {}'.format(out.decode + ('utf-8')) + + @pytest.mark.no_fluidstack + @pytest.mark.parametrize('invalid_name_list, store_type', + [(AWS_INVALID_NAMES, storage_lib.StoreType.S3), + (GCS_INVALID_NAMES, storage_lib.StoreType.GCS), + pytest.param(AZURE_INVALID_NAMES, + storage_lib.StoreType.AZURE, + marks=pytest.mark.azure), + pytest.param(IBM_INVALID_NAMES, + storage_lib.StoreType.IBM, + marks=pytest.mark.ibm), + pytest.param(AWS_INVALID_NAMES, + storage_lib.StoreType.R2, + marks=pytest.mark.cloudflare)]) + def test_invalid_names(self, invalid_name_list, store_type): + # Uses a list in the source field to specify a file and a directory to + # be uploaded to the storage object. + for name in invalid_name_list: + with pytest.raises(sky.exceptions.StorageNameError): + storage_obj = storage_lib.Storage(name=name) + storage_obj.add_store(store_type) + + @pytest.mark.no_fluidstack + @pytest.mark.parametrize( + 'gitignore_structure, store_type', + [(GITIGNORE_SYNC_TEST_DIR_STRUCTURE, storage_lib.StoreType.S3), + (GITIGNORE_SYNC_TEST_DIR_STRUCTURE, storage_lib.StoreType.GCS), + (GITIGNORE_SYNC_TEST_DIR_STRUCTURE, storage_lib.StoreType.AZURE), + pytest.param(GITIGNORE_SYNC_TEST_DIR_STRUCTURE, + storage_lib.StoreType.R2, + marks=pytest.mark.cloudflare)]) + def test_excluded_file_cloud_storage_upload_copy(self, gitignore_structure, + store_type, + tmp_gitignore_storage_obj): + # tests if files included in .gitignore and .git/info/exclude are + # excluded from being transferred to Storage + + tmp_gitignore_storage_obj.add_store(store_type) + + upload_file_name = 'included' + # Count the number of files with the given file name + up_cmd = self.cli_count_name_in_bucket(store_type, \ + tmp_gitignore_storage_obj.name, file_name=upload_file_name) + git_exclude_cmd = self.cli_count_name_in_bucket(store_type, \ + tmp_gitignore_storage_obj.name, file_name='.git') + cnt_num_file_cmd = self.cli_count_file_in_bucket( + store_type, tmp_gitignore_storage_obj.name) + + up_output = subprocess.check_output(up_cmd, shell=True) + git_exclude_output = subprocess.check_output(git_exclude_cmd, + shell=True) + cnt_output = subprocess.check_output(cnt_num_file_cmd, shell=True) + + assert '3' in up_output.decode('utf-8'), \ + 'Files to be included are not completely uploaded.' + # 1 is read as .gitignore is uploaded + assert '1' in git_exclude_output.decode('utf-8'), \ + '.git directory should not be uploaded.' + # 4 files include .gitignore, included.log, included.txt, include_dir/included.log + assert '4' in cnt_output.decode('utf-8'), \ + 'Some items listed in .gitignore and .git/info/exclude are not excluded.' + + @pytest.mark.parametrize('ext_bucket_fixture, store_type', + [('tmp_awscli_bucket', storage_lib.StoreType.S3), + ('tmp_gsutil_bucket', storage_lib.StoreType.GCS), + pytest.param('tmp_awscli_bucket_r2', + storage_lib.StoreType.R2, + marks=pytest.mark.cloudflare)]) + def test_externally_created_bucket_mount_without_source( + self, ext_bucket_fixture, request, store_type): + # Non-sky managed buckets(buckets created outside of Skypilot CLI) + # are allowed to be MOUNTed by specifying the URI of the bucket to + # source field only. When it is attempted by specifying the name of + # the bucket only, it should error out. + # + # TODO(doyoung): Add test for IBM COS. Currently, this is blocked + # as rclone used to interact with IBM COS does not support feature to + # create a bucket, and the ibmcloud CLI is not supported in Skypilot. + # Either of the feature is necessary to simulate an external bucket + # creation for IBM COS. + # https://github.com/skypilot-org/skypilot/pull/1966/files#r1253439837 + + ext_bucket_name, ext_bucket_uri = request.getfixturevalue( + ext_bucket_fixture) + # invalid spec + with pytest.raises(sky.exceptions.StorageSpecError) as e: + storage_obj = storage_lib.Storage( + name=ext_bucket_name, mode=storage_lib.StorageMode.MOUNT) + storage_obj.add_store(store_type) + + assert 'Attempted to mount a non-sky managed bucket' in str(e) + + # valid spec + storage_obj = storage_lib.Storage(source=ext_bucket_uri, + mode=storage_lib.StorageMode.MOUNT) + handle = global_user_state.get_handle_from_storage_name( + storage_obj.name) + if handle: + storage_obj.delete() + + @pytest.mark.no_fluidstack + @pytest.mark.parametrize('region', [ + 'ap-northeast-1', 'ap-northeast-2', 'ap-northeast-3', 'ap-south-1', + 'ap-southeast-1', 'ap-southeast-2', 'eu-central-1', 'eu-north-1', + 'eu-west-1', 'eu-west-2', 'eu-west-3', 'sa-east-1', 'us-east-1', + 'us-east-2', 'us-west-1', 'us-west-2' + ]) + def test_aws_regions(self, tmp_local_storage_obj, region): + # This tests creation and upload to bucket in all AWS s3 regions + # To test full functionality, use test_managed_jobs_storage above. + store_type = storage_lib.StoreType.S3 + tmp_local_storage_obj.add_store(store_type, region=region) + bucket_name = tmp_local_storage_obj.name + + # Confirm that the bucket was created in the correct region + region_cmd = self.cli_region_cmd(store_type, bucket_name=bucket_name) + out = subprocess.check_output(region_cmd, shell=True) + output = out.decode('utf-8') + expected_output_region = region + if region == 'us-east-1': + expected_output_region = 'None' # us-east-1 is the default region + assert expected_output_region in out.decode('utf-8'), ( + f'Bucket was not found in region {region} - ' + f'output of {region_cmd} was: {output}') + + # Check if tmp_source/tmp-file exists in the bucket using cli + ls_cmd = self.cli_ls_cmd(store_type, bucket_name) + out = subprocess.check_output(ls_cmd, shell=True) + output = out.decode('utf-8') + assert 'tmp-file' in output, ( + f'tmp-file not found in bucket - output of {ls_cmd} was: {output}') + + @pytest.mark.no_fluidstack + @pytest.mark.parametrize('region', [ + 'northamerica-northeast1', 'northamerica-northeast2', 'us-central1', + 'us-east1', 'us-east4', 'us-east5', 'us-south1', 'us-west1', 'us-west2', + 'us-west3', 'us-west4', 'southamerica-east1', 'southamerica-west1', + 'europe-central2', 'europe-north1', 'europe-southwest1', 'europe-west1', + 'europe-west2', 'europe-west3', 'europe-west4', 'europe-west6', + 'europe-west8', 'europe-west9', 'europe-west10', 'europe-west12', + 'asia-east1', 'asia-east2', 'asia-northeast1', 'asia-northeast2', + 'asia-northeast3', 'asia-southeast1', 'asia-south1', 'asia-south2', + 'asia-southeast2', 'me-central1', 'me-central2', 'me-west1', + 'australia-southeast1', 'australia-southeast2', 'africa-south1' + ]) + def test_gcs_regions(self, tmp_local_storage_obj, region): + # This tests creation and upload to bucket in all GCS regions + # To test full functionality, use test_managed_jobs_storage above. + store_type = storage_lib.StoreType.GCS + tmp_local_storage_obj.add_store(store_type, region=region) + bucket_name = tmp_local_storage_obj.name + + # Confirm that the bucket was created in the correct region + region_cmd = self.cli_region_cmd(store_type, bucket_name=bucket_name) + out = subprocess.check_output(region_cmd, shell=True) + output = out.decode('utf-8') + assert region in out.decode('utf-8'), ( + f'Bucket was not found in region {region} - ' + f'output of {region_cmd} was: {output}') + + # Check if tmp_source/tmp-file exists in the bucket using cli + ls_cmd = self.cli_ls_cmd(store_type, bucket_name) + out = subprocess.check_output(ls_cmd, shell=True) + output = out.decode('utf-8') + assert 'tmp-file' in output, ( + f'tmp-file not found in bucket - output of {ls_cmd} was: {output}') diff --git a/tests/smoke_tests/test_pre_merge.py b/tests/smoke_tests/test_pre_merge.py new file mode 100644 index 00000000000..4890ac15ce4 --- /dev/null +++ b/tests/smoke_tests/test_pre_merge.py @@ -0,0 +1,43 @@ +# Smoke tests for SkyPilot required before merging +# Default options are set in pyproject.toml +# Example usage: +# Run all tests except for AWS and Lambda Cloud +# > pytest tests/smoke_tests/test_pre_merge.py +# +# Terminate failed clusters after test finishes +# > pytest tests/smoke_tests/test_pre_merge.py --terminate-on-failure +# +# Re-run last failed tests +# > pytest --lf +# +# Run one of the smoke tests +# > pytest tests/smoke_tests/test_pre_merge.py::test_yaml_launch_and_mount +# +# Only run test for AWS + generic tests +# > pytest tests/smoke_tests/test_pre_merge.py --aws +# +# Change cloud for generic tests to aws +# > pytest tests/smoke_tests/test_pre_merge.py --generic-cloud aws + +from smoke_tests import smoke_tests_utils + +import sky + + +def test_yaml_launch_and_mount(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'test_yaml_launch_and_mount', + [ + f'sky launch -y -c {name} tests/test_yamls/minimal_test_pre_merge.yaml', + smoke_tests_utils. + get_cmd_wait_until_job_status_contains_matching_job_id( + cluster_name=name, + job_id=1, + job_status=[sky.JobStatus.SUCCEEDED], + timeout=2 * 60), + ], + f'sky down -y {name}', + timeout=5 * 60, + ) + smoke_tests_utils.run_one_test(test) diff --git a/tests/smoke_tests/test_region_and_zone.py b/tests/smoke_tests/test_region_and_zone.py new file mode 100644 index 00000000000..706cd3bb64a --- /dev/null +++ b/tests/smoke_tests/test_region_and_zone.py @@ -0,0 +1,210 @@ +# Smoke tests for SkyPilot for reg +# Default options are set in pyproject.toml +# Example usage: +# Run all tests except for AWS and Lambda Cloud +# > pytest tests/smoke_tests/test_region_and_zone.py +# +# Terminate failed clusters after test finishes +# > pytest tests/smoke_tests/test_region_and_zone.py --terminate-on-failure +# +# Re-run last failed tests +# > pytest --lf +# +# Run one of the smoke tests +# > pytest tests/smoke_tests/test_region_and_zone.py::test_aws_region +# +# Only run test for AWS + generic tests +# > pytest tests/smoke_tests/test_region_and_zone.py --aws +# +# Change cloud for generic tests to aws +# > pytest tests/smoke_tests/test_region_and_zone.py --generic-cloud aws + +import tempfile +import textwrap + +import pytest +from smoke_tests import smoke_tests_utils + +import sky +from sky.skylet import constants + + +# ---------- Test region ---------- +@pytest.mark.aws +def test_aws_region(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'aws_region', + [ + f'sky launch -y -c {name} --region us-east-2 examples/minimal.yaml', + f'sky exec {name} examples/minimal.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky status --all | grep {name} | grep us-east-2', # Ensure the region is correct. + f'sky exec {name} \'echo $SKYPILOT_CLUSTER_INFO | jq .region | grep us-east-2\'', + f'sky logs {name} 2 --status', # Ensure the job succeeded. + # A user program should not access SkyPilot runtime env python by default. + f'sky exec {name} \'which python | grep {constants.SKY_REMOTE_PYTHON_ENV_NAME} && exit 1 || true\'', + f'sky logs {name} 3 --status', # Ensure the job succeeded. + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.aws +def test_aws_with_ssh_proxy_command(): + name = smoke_tests_utils.get_cluster_name() + + with tempfile.NamedTemporaryFile(mode='w') as f: + f.write( + textwrap.dedent(f"""\ + aws: + ssh_proxy_command: ssh -W %h:%p -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null jump-{name} + """)) + f.flush() + test = smoke_tests_utils.Test( + 'aws_with_ssh_proxy_command', + [ + f'sky launch -y -c jump-{name} --cloud aws --cpus 2 --region us-east-1', + # Use jump config + f'export SKYPILOT_CONFIG={f.name}; ' + f'sky launch -y -c {name} --cloud aws --cpus 2 --region us-east-1 echo hi', + f'sky logs {name} 1 --status', + f'export SKYPILOT_CONFIG={f.name}; sky exec {name} echo hi', + f'sky logs {name} 2 --status', + # Start a small job to make sure the controller is created. + f'sky jobs launch -n {name}-0 --cloud aws --cpus 2 --use-spot -y echo hi', + # Wait other tests to create the job controller first, so that + # the job controller is not launched with proxy command. + smoke_tests_utils. + get_cmd_wait_until_cluster_status_contains_wildcard( + cluster_name_wildcard='sky-jobs-controller-*', + cluster_status=[sky.ClusterStatus.UP], + timeout=300), + f'export SKYPILOT_CONFIG={f.name}; sky jobs launch -n {name} --cpus 2 --cloud aws --region us-east-1 -yd echo hi', + smoke_tests_utils. + get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ + sky.ManagedJobStatus.SUCCEEDED, + sky.ManagedJobStatus.RUNNING, + sky.ManagedJobStatus.STARTING + ], + timeout=300), + ], + f'sky down -y {name} jump-{name}; sky jobs cancel -y -n {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +def test_gcp_region_and_service_account(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'gcp_region', + [ + f'sky launch -y -c {name} --region us-central1 --cloud gcp tests/test_yamls/minimal.yaml', + f'sky exec {name} tests/test_yamls/minimal.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky exec {name} \'curl -H "Metadata-Flavor: Google" "http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/identity?format=standard&audience=gcp"\'', + f'sky logs {name} 2 --status', # Ensure the job succeeded. + f'sky status --all | grep {name} | grep us-central1', # Ensure the region is correct. + f'sky exec {name} \'echo $SKYPILOT_CLUSTER_INFO | jq .region | grep us-central1\'', + f'sky logs {name} 3 --status', # Ensure the job succeeded. + # A user program should not access SkyPilot runtime env python by default. + f'sky exec {name} \'which python | grep {constants.SKY_REMOTE_PYTHON_ENV_NAME} && exit 1 || true\'', + f'sky logs {name} 4 --status', # Ensure the job succeeded. + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.ibm +def test_ibm_region(): + name = smoke_tests_utils.get_cluster_name() + region = 'eu-de' + test = smoke_tests_utils.Test( + 'region', + [ + f'sky launch -y -c {name} --cloud ibm --region {region} examples/minimal.yaml', + f'sky exec {name} --cloud ibm examples/minimal.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky status --all | grep {name} | grep {region}', # Ensure the region is correct. + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.azure +def test_azure_region(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'azure_region', + [ + f'sky launch -y -c {name} --region eastus2 --cloud azure tests/test_yamls/minimal.yaml', + f'sky exec {name} tests/test_yamls/minimal.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky status --all | grep {name} | grep eastus2', # Ensure the region is correct. + f'sky exec {name} \'echo $SKYPILOT_CLUSTER_INFO | jq .region | grep eastus2\'', + f'sky logs {name} 2 --status', # Ensure the job succeeded. + f'sky exec {name} \'echo $SKYPILOT_CLUSTER_INFO | jq .zone | grep null\'', + f'sky logs {name} 3 --status', # Ensure the job succeeded. + # A user program should not access SkyPilot runtime env python by default. + f'sky exec {name} \'which python | grep {constants.SKY_REMOTE_PYTHON_ENV_NAME} && exit 1 || true\'', + f'sky logs {name} 4 --status', # Ensure the job succeeded. + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Test zone ---------- +@pytest.mark.aws +def test_aws_zone(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'aws_zone', + [ + f'sky launch -y -c {name} examples/minimal.yaml --zone us-east-2b', + f'sky exec {name} examples/minimal.yaml --zone us-east-2b', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky status --all | grep {name} | grep us-east-2b', # Ensure the zone is correct. + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.ibm +def test_ibm_zone(): + name = smoke_tests_utils.get_cluster_name() + zone = 'eu-de-2' + test = smoke_tests_utils.Test( + 'zone', + [ + f'sky launch -y -c {name} --cloud ibm examples/minimal.yaml --zone {zone}', + f'sky exec {name} --cloud ibm examples/minimal.yaml --zone {zone}', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky status --all | grep {name} | grep {zone}', # Ensure the zone is correct. + ], + f'sky down -y {name} {name}-2 {name}-3', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +def test_gcp_zone(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'gcp_zone', + [ + f'sky launch -y -c {name} --zone us-central1-a --cloud gcp tests/test_yamls/minimal.yaml', + f'sky exec {name} --zone us-central1-a --cloud gcp tests/test_yamls/minimal.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky status --all | grep {name} | grep us-central1-a', # Ensure the zone is correct. + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) diff --git a/tests/smoke_tests/test_sky_serve.py b/tests/smoke_tests/test_sky_serve.py new file mode 100644 index 00000000000..5f34eba8728 --- /dev/null +++ b/tests/smoke_tests/test_sky_serve.py @@ -0,0 +1,791 @@ +# Smoke tests for SkyPilot for sky serve +# Default options are set in pyproject.toml +# Example usage: +# Run all tests except for AWS and Lambda Cloud +# > pytest tests/smoke_tests/test_sky_serve.py +# +# Terminate failed clusters after test finishes +# > pytest tests/smoke_tests/test_sky_serve.py --terminate-on-failure +# +# Re-run last failed tests +# > pytest --lf +# +# Run one of the smoke tests +# > pytest tests/smoke_tests/test_sky_serve.py::test_skyserve_gcp_http +# +# Only run sky serve tests +# > pytest tests/smoke_tests/test_sky_server.py --sky-serve +# +# Only run test for AWS + generic tests +# > pytest tests/smoke_tests/test_sky_serve.py --aws +# +# Change cloud for generic tests to aws +# > pytest tests/smoke_tests/test_sky_serve.py --generic-cloud aws + +import inspect +import json +import shlex +from typing import List, Tuple + +import pytest +from smoke_tests import smoke_tests_utils + +from sky import serve +from sky.utils import common_utils + +# ---------- Testing skyserve ---------- + + +def _get_service_name() -> str: + """Returns a user-unique service name for each test_skyserve_(). + + Must be called from each test_skyserve_(). + """ + caller_func_name = inspect.stack()[1][3] + test_name = caller_func_name.replace('_', '-').replace('test-', 't-') + test_name = test_name.replace('skyserve-', 'ss-') + test_name = common_utils.make_cluster_name_on_cloud(test_name, 24) + return f'{test_name}-{smoke_tests_utils.test_id}' + + +# We check the output of the skyserve service to see if it is ready. Output of +# `REPLICAS` is in the form of `1/2` where the first number is the number of +# ready replicas and the second number is the number of total replicas. We +# grep such format to ensure that the service is ready, and early exit if any +# failure detected. In the end we sleep for +# serve.LB_CONTROLLER_SYNC_INTERVAL_SECONDS to make sure load balancer have +# enough time to sync with the controller and get all ready replica IPs. +_SERVE_WAIT_UNTIL_READY = ( + '{{ while true; do' + ' s=$(sky serve status {name}); echo "$s";' + ' echo "$s" | grep -q "{replica_num}/{replica_num}" && break;' + ' echo "$s" | grep -q "FAILED" && exit 1;' + ' sleep 10;' + ' done; }}; echo "Got service status $s";' + f'sleep {serve.LB_CONTROLLER_SYNC_INTERVAL_SECONDS + 2};') +_IP_REGEX = r'([0-9]{1,3}\.){3}[0-9]{1,3}' +_AWK_ALL_LINES_BELOW_REPLICAS = r'/Replicas/{flag=1; next} flag' +_SERVICE_LAUNCHING_STATUS_REGEX = 'PROVISIONING\|STARTING' +# Since we don't allow terminate the service if the controller is INIT, +# which is common for simultaneous pytest, we need to wait until the +# controller is UP before we can terminate the service. +# The teardown command has a 10-mins timeout, so we don't need to do +# the timeout here. See implementation of run_one_test() for details. +_TEARDOWN_SERVICE = ( + '(for i in `seq 1 20`; do' + ' s=$(sky serve down -y {name});' + ' echo "Trying to terminate {name}";' + ' echo "$s";' + ' echo "$s" | grep -q "scheduled to be terminated\|No service to terminate" && break;' + ' sleep 10;' + ' [ $i -eq 20 ] && echo "Failed to terminate service {name}";' + 'done)') + +_SERVE_ENDPOINT_WAIT = ( + 'export ORIGIN_SKYPILOT_DEBUG=$SKYPILOT_DEBUG; export SKYPILOT_DEBUG=0; ' + 'endpoint=$(sky serve status --endpoint {name}); ' + 'until ! echo "$endpoint" | grep "Controller is initializing"; ' + 'do echo "Waiting for serve endpoint to be ready..."; ' + 'sleep 5; endpoint=$(sky serve status --endpoint {name}); done; ' + 'export SKYPILOT_DEBUG=$ORIGIN_SKYPILOT_DEBUG; echo "$endpoint"') + +_SERVE_STATUS_WAIT = ('s=$(sky serve status {name}); ' + 'until ! echo "$s" | grep "Controller is initializing."; ' + 'do echo "Waiting for serve status to be ready..."; ' + 'sleep 5; s=$(sky serve status {name}); done; echo "$s"') + + +def _get_replica_ip(name: str, replica_id: int) -> str: + return (f'ip{replica_id}=$(echo "$s" | ' + f'awk "{_AWK_ALL_LINES_BELOW_REPLICAS}" | ' + f'grep -E "{name}\s+{replica_id}" | ' + f'grep -Eo "{_IP_REGEX}")') + + +def _get_skyserve_http_test(name: str, cloud: str, + timeout_minutes: int) -> smoke_tests_utils.Test: + test = smoke_tests_utils.Test( + f'test-skyserve-{cloud.replace("_", "-")}', + [ + f'sky serve up -n {name} -y tests/skyserve/http/{cloud}.yaml', + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2), + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' + 'curl http://$endpoint | grep "Hi, SkyPilot here"', + ], + _TEARDOWN_SERVICE.format(name=name), + timeout=timeout_minutes * 60, + ) + return test + + +def _check_replica_in_status(name: str, check_tuples: List[Tuple[int, bool, + str]]) -> str: + """Check replicas' status and count in sky serve status + + We will check vCPU=2, as all our tests use vCPU=2. + + Args: + name: the name of the service + check_tuples: A list of replica property to check. Each tuple is + (count, is_spot, status) + """ + check_cmd = '' + for check_tuple in check_tuples: + count, is_spot, status = check_tuple + resource_str = '' + if status not in ['PENDING', 'SHUTTING_DOWN' + ] and not status.startswith('FAILED'): + spot_str = '' + if is_spot: + spot_str = '\[Spot\]' + resource_str = f'({spot_str}vCPU=2)' + check_cmd += (f' echo "$s" | grep "{resource_str}" | ' + f'grep "{status}" | wc -l | grep {count} || exit 1;') + return (f'{_SERVE_STATUS_WAIT.format(name=name)}; echo "$s"; ' + check_cmd) + + +def _check_service_version(service_name: str, version: str) -> str: + # Grep the lines before 'Service Replicas' and check if the service version + # is correct. + return (f'echo "$s" | grep -B1000 "Service Replicas" | ' + f'grep -E "{service_name}\s+{version}" || exit 1; ') + + +@pytest.mark.gcp +@pytest.mark.serve +def test_skyserve_gcp_http(): + """Test skyserve on GCP""" + name = _get_service_name() + test = _get_skyserve_http_test(name, 'gcp', 20) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.aws +@pytest.mark.serve +def test_skyserve_aws_http(): + """Test skyserve on AWS""" + name = _get_service_name() + test = _get_skyserve_http_test(name, 'aws', 20) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.azure +@pytest.mark.serve +def test_skyserve_azure_http(): + """Test skyserve on Azure""" + name = _get_service_name() + test = _get_skyserve_http_test(name, 'azure', 30) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.kubernetes +@pytest.mark.serve +def test_skyserve_kubernetes_http(): + """Test skyserve on Kubernetes""" + name = _get_service_name() + test = _get_skyserve_http_test(name, 'kubernetes', 30) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.oci +@pytest.mark.serve +def test_skyserve_oci_http(): + """Test skyserve on OCI""" + name = _get_service_name() + test = _get_skyserve_http_test(name, 'oci', 20) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.no_fluidstack # Fluidstack does not support T4 gpus for now +@pytest.mark.serve +def test_skyserve_llm(generic_cloud: str): + """Test skyserve with real LLM usecase""" + name = _get_service_name() + + def generate_llm_test_command(prompt: str, expected_output: str) -> str: + prompt = shlex.quote(prompt) + expected_output = shlex.quote(expected_output) + return ( + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' + 'python tests/skyserve/llm/get_response.py --endpoint $endpoint ' + f'--prompt {prompt} | grep {expected_output}') + + with open('tests/skyserve/llm/prompt_output.json', 'r', + encoding='utf-8') as f: + prompt2output = json.load(f) + + test = smoke_tests_utils.Test( + f'test-skyserve-llm', + [ + f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/llm/service.yaml', + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=1), + *[ + generate_llm_test_command(prompt, output) + for prompt, output in prompt2output.items() + ], + ], + _TEARDOWN_SERVICE.format(name=name), + timeout=40 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +@pytest.mark.serve +def test_skyserve_spot_recovery(): + name = _get_service_name() + zone = 'us-central1-a' + + test = smoke_tests_utils.Test( + f'test-skyserve-spot-recovery-gcp', + [ + f'sky serve up -n {name} -y tests/skyserve/spot/recovery.yaml', + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=1), + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' + 'request_output=$(curl http://$endpoint); echo "$request_output"; echo "$request_output" | grep "Hi, SkyPilot here"', + smoke_tests_utils.terminate_gcp_replica(name, zone, 1), + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=1), + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' + 'request_output=$(curl http://$endpoint); echo "$request_output"; echo "$request_output" | grep "Hi, SkyPilot here"', + ], + _TEARDOWN_SERVICE.format(name=name), + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.no_fluidstack # Fluidstack does not support spot instances +@pytest.mark.serve +@pytest.mark.no_kubernetes +def test_skyserve_base_ondemand_fallback(generic_cloud: str): + name = _get_service_name() + test = smoke_tests_utils.Test( + f'test-skyserve-base-ondemand-fallback', + [ + f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/spot/base_ondemand_fallback.yaml', + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2), + _check_replica_in_status(name, [(1, True, 'READY'), + (1, False, 'READY')]), + ], + _TEARDOWN_SERVICE.format(name=name), + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +@pytest.mark.serve +def test_skyserve_dynamic_ondemand_fallback(): + name = _get_service_name() + zone = 'us-central1-a' + + test = smoke_tests_utils.Test( + f'test-skyserve-dynamic-ondemand-fallback', + [ + f'sky serve up -n {name} --cloud gcp -y tests/skyserve/spot/dynamic_ondemand_fallback.yaml', + f'sleep 40', + # 2 on-demand (provisioning) + 2 Spot (provisioning). + f'{_SERVE_STATUS_WAIT.format(name=name)}; echo "$s";' + 'echo "$s" | grep -q "0/4" || exit 1', + # Wait for the provisioning starts + f'sleep 40', + _check_replica_in_status(name, [ + (2, True, _SERVICE_LAUNCHING_STATUS_REGEX + '\|READY'), + (2, False, _SERVICE_LAUNCHING_STATUS_REGEX + '\|SHUTTING_DOWN') + ]), + + # Wait until 2 spot instances are ready. + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2), + _check_replica_in_status(name, [(2, True, 'READY'), + (0, False, '')]), + smoke_tests_utils.terminate_gcp_replica(name, zone, 1), + f'sleep 40', + # 1 on-demand (provisioning) + 1 Spot (ready) + 1 spot (provisioning). + f'{_SERVE_STATUS_WAIT.format(name=name)}; ' + 'echo "$s" | grep -q "1/3"', + _check_replica_in_status( + name, [(1, True, 'READY'), + (1, True, _SERVICE_LAUNCHING_STATUS_REGEX), + (1, False, _SERVICE_LAUNCHING_STATUS_REGEX)]), + + # Wait until 2 spot instances are ready. + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2), + _check_replica_in_status(name, [(2, True, 'READY'), + (0, False, '')]), + ], + _TEARDOWN_SERVICE.format(name=name), + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +# TODO: fluidstack does not support `--cpus 2`, but the check for services in this test is based on CPUs +@pytest.mark.no_fluidstack +@pytest.mark.serve +def test_skyserve_user_bug_restart(generic_cloud: str): + """Tests that we restart the service after user bug.""" + # TODO(zhwu): this behavior needs some rethinking. + name = _get_service_name() + test = smoke_tests_utils.Test( + f'test-skyserve-user-bug-restart', + [ + f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/restart/user_bug.yaml', + f's=$(sky serve status {name}); echo "$s";' + 'until echo "$s" | grep -A 100 "Service Replicas" | grep "SHUTTING_DOWN"; ' + 'do echo "Waiting for first service to be SHUTTING DOWN..."; ' + f'sleep 5; s=$(sky serve status {name}); echo "$s"; done; ', + f's=$(sky serve status {name}); echo "$s";' + 'until echo "$s" | grep -A 100 "Service Replicas" | grep "FAILED"; ' + 'do echo "Waiting for first service to be FAILED..."; ' + f'sleep 5; s=$(sky serve status {name}); echo "$s"; done; echo "$s"; ' + + _check_replica_in_status(name, [(1, True, 'FAILED')]) + + # User bug failure will cause no further scaling. + f'echo "$s" | grep -A 100 "Service Replicas" | grep "{name}" | wc -l | grep 1; ' + f'echo "$s" | grep -B 100 "NO_REPLICA" | grep "0/0"', + f'sky serve update {name} --cloud {generic_cloud} -y tests/skyserve/auto_restart.yaml', + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' + 'until curl http://$endpoint | grep "Hi, SkyPilot here!"; do sleep 2; done; sleep 2; ' + + _check_replica_in_status(name, [(1, False, 'READY'), + (1, False, 'FAILED')]), + ], + _TEARDOWN_SERVICE.format(name=name), + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.serve +@pytest.mark.no_kubernetes # Replicas on k8s may be running on the same node and have the same public IP +def test_skyserve_load_balancer(generic_cloud: str): + """Test skyserve load balancer round-robin policy""" + name = _get_service_name() + test = smoke_tests_utils.Test( + f'test-skyserve-load-balancer', + [ + f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/load_balancer/service.yaml', + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=3), + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' + f'{_SERVE_STATUS_WAIT.format(name=name)}; ' + f'{_get_replica_ip(name, 1)}; ' + f'{_get_replica_ip(name, 2)}; {_get_replica_ip(name, 3)}; ' + 'python tests/skyserve/load_balancer/test_round_robin.py ' + '--endpoint $endpoint --replica-num 3 --replica-ips $ip1 $ip2 $ip3', + ], + _TEARDOWN_SERVICE.format(name=name), + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +@pytest.mark.serve +@pytest.mark.no_kubernetes +def test_skyserve_auto_restart(): + """Test skyserve with auto restart""" + name = _get_service_name() + zone = 'us-central1-a' + test = smoke_tests_utils.Test( + f'test-skyserve-auto-restart', + [ + # TODO(tian): we can dynamically generate YAML from template to + # avoid maintaining too many YAML files + f'sky serve up -n {name} -y tests/skyserve/auto_restart.yaml', + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=1), + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' + 'request_output=$(curl http://$endpoint); echo "$request_output"; echo "$request_output" | grep "Hi, SkyPilot here"', + # sleep for 20 seconds (initial delay) to make sure it will + # be restarted + f'sleep 20', + smoke_tests_utils.terminate_gcp_replica(name, zone, 1), + # Wait for consecutive failure timeout passed. + # If the cluster is not using spot, it won't check the cluster status + # on the cloud (since manual shutdown is not a common behavior and such + # queries takes a lot of time). Instead, we think continuous 3 min probe + # failure is not a temporary problem but indeed a failure. + 'sleep 180', + # We cannot use _SERVE_WAIT_UNTIL_READY; there will be a intermediate time + # that the output of `sky serve status` shows FAILED and this status will + # cause _SERVE_WAIT_UNTIL_READY to early quit. + '(while true; do' + f' output=$(sky serve status {name});' + ' echo "$output" | grep -q "1/1" && break;' + ' sleep 10;' + f'done); sleep {serve.LB_CONTROLLER_SYNC_INTERVAL_SECONDS};', + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' + 'request_output=$(curl http://$endpoint); echo "$request_output"; echo "$request_output" | grep "Hi, SkyPilot here"', + ], + _TEARDOWN_SERVICE.format(name=name), + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.serve +def test_skyserve_cancel(generic_cloud: str): + """Test skyserve with cancel""" + name = _get_service_name() + + test = smoke_tests_utils.Test( + f'test-skyserve-cancel', + [ + f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/cancel/cancel.yaml', + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=1), + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; python3 ' + 'tests/skyserve/cancel/send_cancel_request.py ' + '--endpoint $endpoint | grep "Request was cancelled"', + f's=$(sky serve logs {name} 1 --no-follow); ' + 'until ! echo "$s" | grep "Please wait for the controller to be"; ' + 'do echo "Waiting for serve logs"; sleep 10; ' + f's=$(sky serve logs {name} 1 --no-follow); done; ' + 'echo "$s"; echo "$s" | grep "Client disconnected, stopping computation"', + ], + _TEARDOWN_SERVICE.format(name=name), + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.serve +def test_skyserve_streaming(generic_cloud: str): + """Test skyserve with streaming""" + name = _get_service_name() + test = smoke_tests_utils.Test( + f'test-skyserve-streaming', + [ + f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/streaming/streaming.yaml', + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=1), + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' + 'python3 tests/skyserve/streaming/send_streaming_request.py ' + '--endpoint $endpoint | grep "Streaming test passed"', + ], + _TEARDOWN_SERVICE.format(name=name), + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.serve +def test_skyserve_readiness_timeout_fail(generic_cloud: str): + """Test skyserve with large readiness probe latency, expected to fail""" + name = _get_service_name() + test = smoke_tests_utils.Test( + f'test-skyserve-readiness-timeout-fail', + [ + f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/readiness_timeout/task.yaml', + # None of the readiness probe will pass, so the service will be + # terminated after the initial delay. + f's=$(sky serve status {name}); ' + f'until echo "$s" | grep "FAILED_INITIAL_DELAY"; do ' + 'echo "Waiting for replica to be failed..."; sleep 5; ' + f's=$(sky serve status {name}); echo "$s"; done;', + 'sleep 60', + f'{_SERVE_STATUS_WAIT.format(name=name)}; echo "$s" | grep "{name}" | grep "FAILED_INITIAL_DELAY" | wc -l | grep 1;' + ], + _TEARDOWN_SERVICE.format(name=name), + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.serve +def test_skyserve_large_readiness_timeout(generic_cloud: str): + """Test skyserve with customized large readiness timeout""" + name = _get_service_name() + test = smoke_tests_utils.Test( + f'test-skyserve-large-readiness-timeout', + [ + f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/readiness_timeout/task_large_timeout.yaml', + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=1), + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' + 'request_output=$(curl http://$endpoint); echo "$request_output"; echo "$request_output" | grep "Hi, SkyPilot here"', + ], + _TEARDOWN_SERVICE.format(name=name), + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +# TODO: fluidstack does not support `--cpus 2`, but the check for services in this test is based on CPUs +@pytest.mark.no_fluidstack +@pytest.mark.serve +def test_skyserve_update(generic_cloud: str): + """Test skyserve with update""" + name = _get_service_name() + test = smoke_tests_utils.Test( + f'test-skyserve-update', + [ + f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/update/old.yaml', + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2), + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; curl http://$endpoint | grep "Hi, SkyPilot here"', + f'sky serve update {name} --cloud {generic_cloud} --mode blue_green -y tests/skyserve/update/new.yaml', + # sleep before update is registered. + 'sleep 20', + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' + 'until curl http://$endpoint | grep "Hi, new SkyPilot here!"; do sleep 2; done;' + # Make sure the traffic is not mixed + 'curl http://$endpoint | grep "Hi, new SkyPilot here"', + # The latest 2 version should be READY and the older versions should be shutting down + (_check_replica_in_status(name, [(2, False, 'READY'), + (2, False, 'SHUTTING_DOWN')]) + + _check_service_version(name, "2")), + ], + _TEARDOWN_SERVICE.format(name=name), + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +# TODO: fluidstack does not support `--cpus 2`, but the check for services in this test is based on CPUs +@pytest.mark.no_fluidstack +@pytest.mark.serve +def test_skyserve_rolling_update(generic_cloud: str): + """Test skyserve with rolling update""" + name = _get_service_name() + single_new_replica = _check_replica_in_status( + name, [(2, False, 'READY'), (1, False, _SERVICE_LAUNCHING_STATUS_REGEX), + (1, False, 'SHUTTING_DOWN')]) + test = smoke_tests_utils.Test( + f'test-skyserve-rolling-update', + [ + f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/update/old.yaml', + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2), + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; curl http://$endpoint | grep "Hi, SkyPilot here"', + f'sky serve update {name} --cloud {generic_cloud} -y tests/skyserve/update/new.yaml', + # Make sure the traffic is mixed across two versions, the replicas + # with even id will sleep 60 seconds before being ready, so we + # should be able to get observe the period that the traffic is mixed + # across two versions. + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' + 'until curl http://$endpoint | grep "Hi, new SkyPilot here!"; do sleep 2; done; sleep 2; ' + # The latest version should have one READY and the one of the older versions should be shutting down + f'{single_new_replica} {_check_service_version(name, "1,2")} ' + # Check the output from the old version, immediately after the + # output from the new version appears. This is guaranteed by the + # round robin load balancing policy. + # TODO(zhwu): we should have a more generalized way for checking the + # mixed version of replicas to avoid depending on the specific + # round robin load balancing policy. + 'curl http://$endpoint | grep "Hi, SkyPilot here"', + ], + _TEARDOWN_SERVICE.format(name=name), + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.no_fluidstack +@pytest.mark.serve +def test_skyserve_fast_update(generic_cloud: str): + """Test skyserve with fast update (Increment version of old replicas)""" + name = _get_service_name() + + test = smoke_tests_utils.Test( + f'test-skyserve-fast-update', + [ + f'sky serve up -n {name} -y --cloud {generic_cloud} tests/skyserve/update/bump_version_before.yaml', + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2), + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; curl http://$endpoint | grep "Hi, SkyPilot here"', + f'sky serve update {name} --cloud {generic_cloud} --mode blue_green -y tests/skyserve/update/bump_version_after.yaml', + # sleep to wait for update to be registered. + 'sleep 40', + # 2 on-deamnd (ready) + 1 on-demand (provisioning). + ( + _check_replica_in_status( + name, [(2, False, 'READY'), + (1, False, _SERVICE_LAUNCHING_STATUS_REGEX)]) + + # Fast update will directly have the latest version ready. + _check_service_version(name, "2")), + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=3) + + _check_service_version(name, "2"), + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; curl http://$endpoint | grep "Hi, SkyPilot here"', + # Test rolling update + f'sky serve update {name} --cloud {generic_cloud} -y tests/skyserve/update/bump_version_before.yaml', + # sleep to wait for update to be registered. + 'sleep 25', + # 2 on-deamnd (ready) + 1 on-demand (shutting down). + _check_replica_in_status(name, [(2, False, 'READY'), + (1, False, 'SHUTTING_DOWN')]), + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2) + + _check_service_version(name, "3"), + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; curl http://$endpoint | grep "Hi, SkyPilot here"', + ], + _TEARDOWN_SERVICE.format(name=name), + timeout=30 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.serve +def test_skyserve_update_autoscale(generic_cloud: str): + """Test skyserve update with autoscale""" + name = _get_service_name() + test = smoke_tests_utils.Test( + f'test-skyserve-update-autoscale', + [ + f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/update/num_min_two.yaml', + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2) + + _check_service_version(name, "1"), + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' + 'curl http://$endpoint | grep "Hi, SkyPilot here"', + f'sky serve update {name} --cloud {generic_cloud} --mode blue_green -y tests/skyserve/update/num_min_one.yaml', + # sleep before update is registered. + 'sleep 20', + # Timeout will be triggered when update fails. + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=1) + + _check_service_version(name, "2"), + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' + 'curl http://$endpoint | grep "Hi, SkyPilot here!"', + # Rolling Update + f'sky serve update {name} --cloud {generic_cloud} -y tests/skyserve/update/num_min_two.yaml', + # sleep before update is registered. + 'sleep 20', + # Timeout will be triggered when update fails. + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2) + + _check_service_version(name, "3"), + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' + 'curl http://$endpoint | grep "Hi, SkyPilot here!"', + ], + _TEARDOWN_SERVICE.format(name=name), + timeout=30 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.no_fluidstack # Spot instances are note supported by Fluidstack +@pytest.mark.serve +@pytest.mark.no_kubernetes # Spot instances are not supported in Kubernetes +@pytest.mark.parametrize('mode', ['rolling', 'blue_green']) +def test_skyserve_new_autoscaler_update(mode: str, generic_cloud: str): + """Test skyserve with update that changes autoscaler""" + name = f'{_get_service_name()}-{mode}' + + wait_until_no_pending = ( + f's=$(sky serve status {name}); echo "$s"; ' + 'until ! echo "$s" | grep PENDING; do ' + ' echo "Waiting for replica to be out of pending..."; ' + f' sleep 5; s=$(sky serve status {name}); ' + ' echo "$s"; ' + 'done') + four_spot_up_cmd = _check_replica_in_status(name, [(4, True, 'READY')]) + update_check = [f'until ({four_spot_up_cmd}); do sleep 5; done; sleep 15;'] + if mode == 'rolling': + # Check rolling update, it will terminate one of the old on-demand + # instances, once there are 4 spot instance ready. + update_check += [ + _check_replica_in_status( + name, [(1, False, _SERVICE_LAUNCHING_STATUS_REGEX), + (1, False, 'SHUTTING_DOWN'), (1, False, 'READY')]) + + _check_service_version(name, "1,2"), + ] + else: + # Check blue green update, it will keep both old on-demand instances + # running, once there are 4 spot instance ready. + update_check += [ + _check_replica_in_status( + name, [(1, False, _SERVICE_LAUNCHING_STATUS_REGEX), + (2, False, 'READY')]) + + _check_service_version(name, "1"), + ] + test = smoke_tests_utils.Test( + f'test-skyserve-new-autoscaler-update-{mode}', + [ + f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/update/new_autoscaler_before.yaml', + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2) + + _check_service_version(name, "1"), + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' + 's=$(curl http://$endpoint); echo "$s"; echo "$s" | grep "Hi, SkyPilot here"', + f'sky serve update {name} --cloud {generic_cloud} --mode {mode} -y tests/skyserve/update/new_autoscaler_after.yaml', + # Wait for update to be registered + f'sleep 90', + wait_until_no_pending, + _check_replica_in_status( + name, [(4, True, _SERVICE_LAUNCHING_STATUS_REGEX + '\|READY'), + (1, False, _SERVICE_LAUNCHING_STATUS_REGEX), + (2, False, 'READY')]), + *update_check, + _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=5), + f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' + 'curl http://$endpoint | grep "Hi, SkyPilot here"', + _check_replica_in_status(name, [(4, True, 'READY'), + (1, False, 'READY')]), + ], + _TEARDOWN_SERVICE.format(name=name), + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +# TODO: fluidstack does not support `--cpus 2`, but the check for services in this test is based on CPUs +@pytest.mark.no_fluidstack +@pytest.mark.serve +def test_skyserve_failures(generic_cloud: str): + """Test replica failure statuses""" + name = _get_service_name() + + test = smoke_tests_utils.Test( + 'test-skyserve-failures', + [ + f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/failures/initial_delay.yaml', + f's=$(sky serve status {name}); ' + f'until echo "$s" | grep "FAILED_INITIAL_DELAY"; do ' + 'echo "Waiting for replica to be failed..."; sleep 5; ' + f's=$(sky serve status {name}); echo "$s"; done;', + 'sleep 60', + f'{_SERVE_STATUS_WAIT.format(name=name)}; echo "$s" | grep "{name}" | grep "FAILED_INITIAL_DELAY" | wc -l | grep 2; ' + # Make sure no new replicas are started for early failure. + f'echo "$s" | grep -A 100 "Service Replicas" | grep "{name}" | wc -l | grep 2;', + f'sky serve update {name} --cloud {generic_cloud} -y tests/skyserve/failures/probing.yaml', + f's=$(sky serve status {name}); ' + # Wait for replica to be ready. + f'until echo "$s" | grep "READY"; do ' + 'echo "Waiting for replica to be failed..."; sleep 5; ' + f's=$(sky serve status {name}); echo "$s"; done;', + # Wait for replica to change to FAILED_PROBING + f's=$(sky serve status {name}); ' + f'until echo "$s" | grep "FAILED_PROBING"; do ' + 'echo "Waiting for replica to be failed..."; sleep 5; ' + f's=$(sky serve status {name}); echo "$s"; done', + # Wait for the PENDING replica to appear. + 'sleep 10', + # Wait until the replica is out of PENDING. + f's=$(sky serve status {name}); ' + f'until ! echo "$s" | grep "PENDING" && ! echo "$s" | grep "Please wait for the controller to be ready."; do ' + 'echo "Waiting for replica to be out of pending..."; sleep 5; ' + f's=$(sky serve status {name}); echo "$s"; done; ' + + _check_replica_in_status( + name, [(1, False, 'FAILED_PROBING'), + (1, False, _SERVICE_LAUNCHING_STATUS_REGEX)]), + # TODO(zhwu): add test for FAILED_PROVISION + ], + _TEARDOWN_SERVICE.format(name=name), + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +# TODO(Ziming, Tian): Add tests for autoscaling. + + +# ------- Testing user dependencies -------- +def test_user_dependencies(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'user-dependencies', + [ + f'sky launch -y -c {name} --cloud {generic_cloud} "pip install ray>2.11; ray start --head"', + f'sky logs {name} 1 --status', + f'sky exec {name} "echo hi"', + f'sky logs {name} 2 --status', + f'sky status -r {name} | grep UP', + f'sky exec {name} "echo bye"', + f'sky logs {name} 3 --status', + f'sky launch -c {name} tests/test_yamls/different_default_conda_env.yaml', + f'sky logs {name} 4 --status', + # Launch again to test the default env does not affect SkyPilot + # runtime setup + f'sky launch -c {name} "python --version 2>&1 | grep \'Python 3.6\' || exit 1"', + f'sky logs {name} 5 --status', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) diff --git a/tests/test_smoke.py b/tests/test_smoke.py index 79920147adb..b33c1d80bce 100644 --- a/tests/test_smoke.py +++ b/tests/test_smoke.py @@ -25,6137 +25,10 @@ # Change cloud for generic tests to aws # > pytest tests/test_smoke.py --generic-cloud aws -import enum -import inspect -import json -import os -import pathlib -import shlex -import shutil -import subprocess -import sys -import tempfile -import textwrap -import time -from typing import Dict, List, NamedTuple, Optional, TextIO, Tuple -import urllib.parse -import uuid - -import colorama -import jinja2 -import pytest - -import sky -from sky import global_user_state -from sky import jobs -from sky import serve -from sky import skypilot_config -from sky.adaptors import azure -from sky.adaptors import cloudflare -from sky.adaptors import ibm -from sky.clouds import AWS -from sky.clouds import Azure -from sky.clouds import GCP -from sky.data import data_utils -from sky.data import storage as storage_lib -from sky.data.data_utils import Rclone -from sky.skylet import constants -from sky.skylet import events -from sky.utils import common_utils -from sky.utils import resources_utils -from sky.utils import subprocess_utils - -# To avoid the second smoke test reusing the cluster launched in the first -# smoke test. Also required for test_managed_jobs_recovery to make sure the -# manual termination with aws ec2 does not accidentally terminate other clusters -# for for the different managed jobs launch with the same job name but a -# different job id. -test_id = str(uuid.uuid4())[-2:] - -LAMBDA_TYPE = '--cloud lambda --gpus A10' -FLUIDSTACK_TYPE = '--cloud fluidstack --gpus RTXA4000' - -SCP_TYPE = '--cloud scp' -SCP_GPU_V100 = '--gpus V100-32GB' - -STORAGE_SETUP_COMMANDS = [ - 'touch ~/tmpfile', 'mkdir -p ~/tmp-workdir', - 'touch ~/tmp-workdir/tmp\ file', 'touch ~/tmp-workdir/tmp\ file2', - 'touch ~/tmp-workdir/foo', - '[ ! -e ~/tmp-workdir/circle-link ] && ln -s ~/tmp-workdir/ ~/tmp-workdir/circle-link || true', - 'touch ~/.ssh/id_rsa.pub' -] - -# Get the job queue, and print it once on its own, then print it again to -# use with grep by the caller. -_GET_JOB_QUEUE = 's=$(sky jobs queue); echo "$s"; echo "$s"' -# Wait for a job to be not in RUNNING state. Used to check for RECOVERING. -_JOB_WAIT_NOT_RUNNING = ( - 's=$(sky jobs queue);' - 'until ! echo "$s" | grep "{job_name}" | grep "RUNNING"; do ' - 'sleep 10; s=$(sky jobs queue);' - 'echo "Waiting for job to stop RUNNING"; echo "$s"; done') - -# Cluster functions -_ALL_JOB_STATUSES = "|".join([status.value for status in sky.JobStatus]) -_ALL_CLUSTER_STATUSES = "|".join([status.value for status in sky.ClusterStatus]) -_ALL_MANAGED_JOB_STATUSES = "|".join( - [status.value for status in sky.ManagedJobStatus]) - - -def _statuses_to_str(statuses: List[enum.Enum]): - """Convert a list of enums to a string with all the values separated by |.""" - assert len(statuses) > 0, 'statuses must not be empty' - if len(statuses) > 1: - return '(' + '|'.join([status.value for status in statuses]) + ')' - else: - return statuses[0].value - - -_WAIT_UNTIL_CLUSTER_STATUS_CONTAINS = ( - # A while loop to wait until the cluster status - # becomes certain status, with timeout. - 'start_time=$SECONDS; ' - 'while true; do ' - 'if (( $SECONDS - $start_time > {timeout} )); then ' - ' echo "Timeout after {timeout} seconds waiting for cluster status \'{cluster_status}\'"; exit 1; ' - 'fi; ' - 'current_status=$(sky status {cluster_name} --refresh | ' - 'awk "/^{cluster_name}/ ' - '{{for (i=1; i<=NF; i++) if (\$i ~ /^(' + _ALL_CLUSTER_STATUSES + - ')$/) print \$i}}"); ' - 'if [[ "$current_status" =~ {cluster_status} ]]; ' - 'then echo "Target cluster status {cluster_status} reached."; break; fi; ' - 'echo "Waiting for cluster status to become {cluster_status}, current status: $current_status"; ' - 'sleep 10; ' - 'done') - - -def _get_cmd_wait_until_cluster_status_contains( - cluster_name: str, cluster_status: List[sky.ClusterStatus], - timeout: int): - return _WAIT_UNTIL_CLUSTER_STATUS_CONTAINS.format( - cluster_name=cluster_name, - cluster_status=_statuses_to_str(cluster_status), - timeout=timeout) - - -def _get_cmd_wait_until_cluster_status_contains_wildcard( - cluster_name_wildcard: str, cluster_status: List[sky.ClusterStatus], - timeout: int): - wait_cmd = _WAIT_UNTIL_CLUSTER_STATUS_CONTAINS.replace( - 'sky status {cluster_name}', - 'sky status "{cluster_name}"').replace('awk "/^{cluster_name}/', - 'awk "/^{cluster_name_awk}/') - return wait_cmd.format(cluster_name=cluster_name_wildcard, - cluster_name_awk=cluster_name_wildcard.replace( - '*', '.*'), - cluster_status=_statuses_to_str(cluster_status), - timeout=timeout) - - -_WAIT_UNTIL_CLUSTER_IS_NOT_FOUND = ( - # A while loop to wait until the cluster is not found or timeout - 'start_time=$SECONDS; ' - 'while true; do ' - 'if (( $SECONDS - $start_time > {timeout} )); then ' - ' echo "Timeout after {timeout} seconds waiting for cluster to be removed"; exit 1; ' - 'fi; ' - 'if sky status -r {cluster_name}; sky status {cluster_name} | grep "{cluster_name} not found"; then ' - ' echo "Cluster {cluster_name} successfully removed."; break; ' - 'fi; ' - 'echo "Waiting for cluster {cluster_name} to be removed..."; ' - 'sleep 10; ' - 'done') - - -def _get_cmd_wait_until_cluster_is_not_found(cluster_name: str, timeout: int): - return _WAIT_UNTIL_CLUSTER_IS_NOT_FOUND.format(cluster_name=cluster_name, - timeout=timeout) - - -_WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_ID = ( - # A while loop to wait until the job status - # contains certain status, with timeout. - 'start_time=$SECONDS; ' - 'while true; do ' - 'if (( $SECONDS - $start_time > {timeout} )); then ' - ' echo "Timeout after {timeout} seconds waiting for job status \'{job_status}\'"; exit 1; ' - 'fi; ' - 'current_status=$(sky queue {cluster_name} | ' - 'awk "\\$1 == \\"{job_id}\\" ' - '{{for (i=1; i<=NF; i++) if (\$i ~ /^(' + _ALL_JOB_STATUSES + - ')$/) print \$i}}"); ' - 'found=0; ' # Initialize found variable outside the loop - 'while read -r line; do ' # Read line by line - ' if [[ "$line" =~ {job_status} ]]; then ' # Check each line - ' echo "Target job status {job_status} reached."; ' - ' found=1; ' - ' break; ' # Break inner loop - ' fi; ' - 'done <<< "$current_status"; ' - 'if [ "$found" -eq 1 ]; then break; fi; ' # Break outer loop if match found - 'echo "Waiting for job status to contain {job_status}, current status: $current_status"; ' - 'sleep 10; ' - 'done') - -_WAIT_UNTIL_JOB_STATUS_CONTAINS_WITHOUT_MATCHING_JOB = _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_ID.replace( - 'awk "\\$1 == \\"{job_id}\\"', 'awk "') - -_WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME = _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_ID.replace( - 'awk "\\$1 == \\"{job_id}\\"', 'awk "\\$2 == \\"{job_name}\\"') - - -def _get_cmd_wait_until_job_status_contains_matching_job_id( - cluster_name: str, job_id: str, job_status: List[sky.JobStatus], - timeout: int): - return _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_ID.format( - cluster_name=cluster_name, - job_id=job_id, - job_status=_statuses_to_str(job_status), - timeout=timeout) - - -def _get_cmd_wait_until_job_status_contains_without_matching_job( - cluster_name: str, job_status: List[sky.JobStatus], timeout: int): - return _WAIT_UNTIL_JOB_STATUS_CONTAINS_WITHOUT_MATCHING_JOB.format( - cluster_name=cluster_name, - job_status=_statuses_to_str(job_status), - timeout=timeout) - - -def _get_cmd_wait_until_job_status_contains_matching_job_name( - cluster_name: str, job_name: str, job_status: List[sky.JobStatus], - timeout: int): - return _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.format( - cluster_name=cluster_name, - job_name=job_name, - job_status=_statuses_to_str(job_status), - timeout=timeout) - - -# Managed job functions - -_WAIT_UNTIL_MANAGED_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME = _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.replace( - 'sky queue {cluster_name}', 'sky jobs queue').replace( - 'awk "\\$2 == \\"{job_name}\\"', - 'awk "\\$2 == \\"{job_name}\\" || \\$3 == \\"{job_name}\\"').replace( - _ALL_JOB_STATUSES, _ALL_MANAGED_JOB_STATUSES) - - -def _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name: str, job_status: List[sky.JobStatus], timeout: int): - return _WAIT_UNTIL_MANAGED_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.format( - job_name=job_name, - job_status=_statuses_to_str(job_status), - timeout=timeout) - - -# After the timeout, the cluster will stop if autostop is set, and our check -# should be more than the timeout. To address this, we extend the timeout by -# _BUMP_UP_SECONDS before exiting. -_BUMP_UP_SECONDS = 35 - -DEFAULT_CMD_TIMEOUT = 15 * 60 - - -class Test(NamedTuple): - name: str - # Each command is executed serially. If any failed, the remaining commands - # are not run and the test is treated as failed. - commands: List[str] - teardown: Optional[str] = None - # Timeout for each command in seconds. - timeout: int = DEFAULT_CMD_TIMEOUT - # Environment variables to set for each command. - env: Dict[str, str] = None - - def echo(self, message: str): - # pytest's xdist plugin captures stdout; print to stderr so that the - # logs are streaming while the tests are running. - prefix = f'[{self.name}]' - message = f'{prefix} {message}' - message = message.replace('\n', f'\n{prefix} ') - print(message, file=sys.stderr, flush=True) - - -def _get_timeout(generic_cloud: str, - override_timeout: int = DEFAULT_CMD_TIMEOUT): - timeouts = {'fluidstack': 60 * 60} # file_mounts - return timeouts.get(generic_cloud, override_timeout) - - -def _get_cluster_name() -> str: - """Returns a user-unique cluster name for each test_(). - - Must be called from each test_(). - """ - caller_func_name = inspect.stack()[1][3] - test_name = caller_func_name.replace('_', '-').replace('test-', 't-') - test_name = common_utils.make_cluster_name_on_cloud(test_name, - 24, - add_user_hash=False) - return f'{test_name}-{test_id}' - - -def _terminate_gcp_replica(name: str, zone: str, replica_id: int) -> str: - cluster_name = serve.generate_replica_cluster_name(name, replica_id) - query_cmd = (f'gcloud compute instances list --filter=' - f'"(labels.ray-cluster-name:{cluster_name})" ' - f'--zones={zone} --format="value(name)"') - return (f'gcloud compute instances delete --zone={zone}' - f' --quiet $({query_cmd})') - - -def run_one_test(test: Test) -> Tuple[int, str, str]: - # Fail fast if `sky` CLI somehow errors out. - subprocess.run(['sky', 'status'], stdout=subprocess.DEVNULL, check=True) - log_file = tempfile.NamedTemporaryFile('a', - prefix=f'{test.name}-', - suffix='.log', - delete=False) - test.echo(f'Test started. Log: less {log_file.name}') - env_dict = os.environ.copy() - if test.env: - env_dict.update(test.env) - for command in test.commands: - log_file.write(f'+ {command}\n') - log_file.flush() - proc = subprocess.Popen( - command, - stdout=log_file, - stderr=subprocess.STDOUT, - shell=True, - executable='/bin/bash', - env=env_dict, - ) - try: - proc.wait(timeout=test.timeout) - except subprocess.TimeoutExpired as e: - log_file.flush() - test.echo(f'Timeout after {test.timeout} seconds.') - test.echo(str(e)) - log_file.write(f'Timeout after {test.timeout} seconds.\n') - log_file.flush() - # Kill the current process. - proc.terminate() - proc.returncode = 1 # None if we don't set it. - break - - if proc.returncode: - break - - style = colorama.Style - fore = colorama.Fore - outcome = (f'{fore.RED}Failed{style.RESET_ALL}' - if proc.returncode else f'{fore.GREEN}Passed{style.RESET_ALL}') - reason = f'\nReason: {command}' if proc.returncode else '' - msg = (f'{outcome}.' - f'{reason}' - f'\nLog: less {log_file.name}\n') - test.echo(msg) - log_file.write(msg) - if (proc.returncode == 0 or - pytest.terminate_on_failure) and test.teardown is not None: - subprocess_utils.run( - test.teardown, - stdout=log_file, - stderr=subprocess.STDOUT, - timeout=10 * 60, # 10 mins - shell=True, - ) - - if proc.returncode: - raise Exception(f'test failed: less {log_file.name}') - - -def get_aws_region_for_quota_failover() -> Optional[str]: - candidate_regions = AWS.regions_with_offering(instance_type='p3.16xlarge', - accelerators=None, - use_spot=True, - region=None, - zone=None) - original_resources = sky.Resources(cloud=sky.AWS(), - instance_type='p3.16xlarge', - use_spot=True) - - # Filter the regions with proxy command in ~/.sky/config.yaml. - filtered_regions = original_resources.get_valid_regions_for_launchable() - candidate_regions = [ - region for region in candidate_regions - if region.name in filtered_regions - ] - - for region in candidate_regions: - resources = original_resources.copy(region=region.name) - if not AWS.check_quota_available(resources): - return region.name - - return None - - -def get_gcp_region_for_quota_failover() -> Optional[str]: - - candidate_regions = GCP.regions_with_offering(instance_type=None, - accelerators={'A100-80GB': 1}, - use_spot=True, - region=None, - zone=None) - - original_resources = sky.Resources(cloud=sky.GCP(), - instance_type='a2-ultragpu-1g', - accelerators={'A100-80GB': 1}, - use_spot=True) - - # Filter the regions with proxy command in ~/.sky/config.yaml. - filtered_regions = original_resources.get_valid_regions_for_launchable() - candidate_regions = [ - region for region in candidate_regions - if region.name in filtered_regions - ] - - for region in candidate_regions: - if not GCP.check_quota_available( - original_resources.copy(region=region.name)): - return region.name - - return None - - -# ---------- Dry run: 2 Tasks in a chain. ---------- -@pytest.mark.no_fluidstack #requires GCP and AWS set up -def test_example_app(): - test = Test( - 'example_app', - ['python examples/example_app.py'], - ) - run_one_test(test) - - -_VALIDATE_LAUNCH_OUTPUT = ( - # Validate the output of the job submission: - # ⚙️ Launching on Kubernetes. - # Pod is up. - # ✓ Cluster launched: test. View logs at: ~/sky_logs/sky-2024-10-07-19-44-18-177288/provision.log - # ⚙️ Running setup on 1 pod. - # running setup - # ✓ Setup completed. - # ⚙️ Job submitted, ID: 1. - # ├── Waiting for task resources on 1 node. - # └── Job started. Streaming logs... (Ctrl-C to exit log streaming; job will not be killed) - # (min, pid=1277) # conda environments: - # (min, pid=1277) # - # (min, pid=1277) base * /opt/conda - # (min, pid=1277) - # (min, pid=1277) task run finish - # ✓ Job finished (status: SUCCEEDED). - # - # Job ID: 1 - # 📋 Useful Commands - # ├── To cancel the job: sky cancel test 1 - # ├── To stream job logs: sky logs test 1 - # └── To view job queue: sky queue test - # - # Cluster name: test - # ├── To log into the head VM: ssh test - # ├── To submit a job: sky exec test yaml_file - # ├── To stop the cluster: sky stop test - # └── To teardown the cluster: sky down test - 'echo "$s" && echo "==Validating launching==" && ' - 'echo "$s" | grep -A 1 "Launching on" | grep "is up." && ' - 'echo "$s" && echo "==Validating setup output==" && ' - 'echo "$s" | grep -A 1 "Running setup on" | grep "running setup" && ' - 'echo "==Validating running output hints==" && echo "$s" | ' - 'grep -A 1 "Job submitted, ID:" | ' - 'grep "Waiting for task resources on " && ' - 'echo "==Validating task output starting==" && echo "$s" | ' - 'grep -A 1 "Job started. Streaming logs..." | grep "(min, pid=" && ' - 'echo "==Validating task output ending==" && ' - 'echo "$s" | grep -A 1 "task run finish" | ' - 'grep "Job finished (status: SUCCEEDED)" && ' - 'echo "==Validating task output ending 2==" && ' - 'echo "$s" | grep -A 5 "Job finished (status: SUCCEEDED)" | ' - 'grep "Job ID:" && ' - 'echo "$s" | grep -A 1 "Job ID:" | grep "Useful Commands"') - - -# ---------- A minimal task ---------- -def test_minimal(generic_cloud: str): - name = _get_cluster_name() - test = Test( - 'minimal', - [ - f'unset SKYPILOT_DEBUG; s=$(sky launch -y -c {name} --cloud {generic_cloud} tests/test_yamls/minimal.yaml) && {_VALIDATE_LAUNCH_OUTPUT}', - # Output validation done. - f'sky logs {name} 1 --status', - f'sky logs {name} --status | grep "Job 1: SUCCEEDED"', # Equivalent. - # Test launch output again on existing cluster - f'unset SKYPILOT_DEBUG; s=$(sky launch -y -c {name} --cloud {generic_cloud} tests/test_yamls/minimal.yaml) && {_VALIDATE_LAUNCH_OUTPUT}', - f'sky logs {name} 2 --status', - f'sky logs {name} --status | grep "Job 2: SUCCEEDED"', # Equivalent. - # Check the logs downloading - f'log_path=$(sky logs {name} 1 --sync-down | grep "Job 1 logs:" | sed -E "s/^.*Job 1 logs: (.*)\\x1b\\[0m/\\1/g") && echo "$log_path" && test -f $log_path/run.log', - # Ensure the raylet process has the correct file descriptor limit. - f'sky exec {name} "prlimit -n --pid=\$(pgrep -f \'raylet/raylet --raylet_socket_name\') | grep \'"\'1048576 1048576\'"\'"', - f'sky logs {name} 3 --status', # Ensure the job succeeded. - # Install jq for the next test. - f'sky exec {name} \'sudo apt-get update && sudo apt-get install -y jq\'', - # Check the cluster info - f'sky exec {name} \'echo "$SKYPILOT_CLUSTER_INFO" | jq .cluster_name | grep {name}\'', - f'sky logs {name} 5 --status', # Ensure the job succeeded. - f'sky exec {name} \'echo "$SKYPILOT_CLUSTER_INFO" | jq .cloud | grep -i {generic_cloud}\'', - f'sky logs {name} 6 --status', # Ensure the job succeeded. - # Test '-c' for exec - f'sky exec -c {name} echo', - f'sky logs {name} 7 --status', - f'sky exec echo -c {name}', - f'sky logs {name} 8 --status', - f'sky exec -c {name} echo hi test', - f'sky logs {name} 9 | grep "hi test"', - f'sky exec {name} && exit 1 || true', - f'sky exec -c {name} && exit 1 || true', - ], - f'sky down -y {name}', - _get_timeout(generic_cloud), - ) - run_one_test(test) - - -# ---------- Test fast launch ---------- -def test_launch_fast(generic_cloud: str): - name = _get_cluster_name() - - test = Test( - 'test_launch_fast', - [ - # First launch to create the cluster - f'unset SKYPILOT_DEBUG; s=$(sky launch -y -c {name} --cloud {generic_cloud} --fast tests/test_yamls/minimal.yaml) && {_VALIDATE_LAUNCH_OUTPUT}', - f'sky logs {name} 1 --status', - - # Second launch to test fast launch - should not reprovision - f'unset SKYPILOT_DEBUG; s=$(sky launch -y -c {name} --fast tests/test_yamls/minimal.yaml) && ' - ' echo "$s" && ' - # Validate that cluster was not re-launched. - '! echo "$s" | grep -A 1 "Launching on" | grep "is up." && ' - # Validate that setup was not re-run. - '! echo "$s" | grep -A 1 "Running setup on" | grep "running setup" && ' - # Validate that the task ran and finished. - 'echo "$s" | grep -A 1 "task run finish" | grep "Job finished (status: SUCCEEDED)"', - f'sky logs {name} 2 --status', - f'sky status -r {name} | grep UP', - ], - f'sky down -y {name}', - timeout=_get_timeout(generic_cloud), - ) - run_one_test(test) - - -# See cloud exclusion explanations in test_autostop -@pytest.mark.no_fluidstack -@pytest.mark.no_lambda_cloud -@pytest.mark.no_ibm -@pytest.mark.no_kubernetes -def test_launch_fast_with_autostop(generic_cloud: str): - name = _get_cluster_name() - # Azure takes ~ 7m15s (435s) to autostop a VM, so here we use 600 to ensure - # the VM is stopped. - autostop_timeout = 600 if generic_cloud == 'azure' else 250 - test = Test( - 'test_launch_fast_with_autostop', - [ - # First launch to create the cluster with a short autostop - f'unset SKYPILOT_DEBUG; s=$(sky launch -y -c {name} --cloud {generic_cloud} --fast -i 1 tests/test_yamls/minimal.yaml) && {_VALIDATE_LAUNCH_OUTPUT}', - f'sky logs {name} 1 --status', - f'sky status -r {name} | grep UP', - - # Ensure cluster is stopped - _get_cmd_wait_until_cluster_status_contains( - cluster_name=name, - cluster_status=[sky.ClusterStatus.STOPPED], - timeout=autostop_timeout), - # Even the cluster is stopped, cloud platform may take a while to - # delete the VM. - f'sleep {_BUMP_UP_SECONDS}', - # Launch again. Do full output validation - we expect the cluster to re-launch - f'unset SKYPILOT_DEBUG; s=$(sky launch -y -c {name} --fast -i 1 tests/test_yamls/minimal.yaml) && {_VALIDATE_LAUNCH_OUTPUT}', - f'sky logs {name} 2 --status', - f'sky status -r {name} | grep UP', - ], - f'sky down -y {name}', - timeout=_get_timeout(generic_cloud) + autostop_timeout, - ) - run_one_test(test) - - -# ---------- Test region ---------- -@pytest.mark.aws -def test_aws_region(): - name = _get_cluster_name() - test = Test( - 'aws_region', - [ - f'sky launch -y -c {name} --region us-east-2 examples/minimal.yaml', - f'sky exec {name} examples/minimal.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky status --all | grep {name} | grep us-east-2', # Ensure the region is correct. - f'sky exec {name} \'echo $SKYPILOT_CLUSTER_INFO | jq .region | grep us-east-2\'', - f'sky logs {name} 2 --status', # Ensure the job succeeded. - # A user program should not access SkyPilot runtime env python by default. - f'sky exec {name} \'which python | grep {constants.SKY_REMOTE_PYTHON_ENV_NAME} && exit 1 || true\'', - f'sky logs {name} 3 --status', # Ensure the job succeeded. - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.aws -def test_aws_with_ssh_proxy_command(): - name = _get_cluster_name() - - with tempfile.NamedTemporaryFile(mode='w') as f: - f.write( - textwrap.dedent(f"""\ - aws: - ssh_proxy_command: ssh -W %h:%p -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null jump-{name} - """)) - f.flush() - test = Test( - 'aws_with_ssh_proxy_command', - [ - f'sky launch -y -c jump-{name} --cloud aws --cpus 2 --region us-east-1', - # Use jump config - f'export SKYPILOT_CONFIG={f.name}; ' - f'sky launch -y -c {name} --cloud aws --cpus 2 --region us-east-1 echo hi', - f'sky logs {name} 1 --status', - f'export SKYPILOT_CONFIG={f.name}; sky exec {name} echo hi', - f'sky logs {name} 2 --status', - # Start a small job to make sure the controller is created. - f'sky jobs launch -n {name}-0 --cloud aws --cpus 2 --use-spot -y echo hi', - # Wait other tests to create the job controller first, so that - # the job controller is not launched with proxy command. - _get_cmd_wait_until_cluster_status_contains_wildcard( - cluster_name_wildcard='sky-jobs-controller-*', - cluster_status=[sky.ClusterStatus.UP], - timeout=300), - f'export SKYPILOT_CONFIG={f.name}; sky jobs launch -n {name} --cpus 2 --cloud aws --region us-east-1 -yd echo hi', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[ - sky.ManagedJobStatus.SUCCEEDED, - sky.ManagedJobStatus.RUNNING, - sky.ManagedJobStatus.STARTING - ], - timeout=300), - ], - f'sky down -y {name} jump-{name}; sky jobs cancel -y -n {name}', - ) - run_one_test(test) - - -@pytest.mark.gcp -def test_gcp_region_and_service_account(): - name = _get_cluster_name() - test = Test( - 'gcp_region', - [ - f'sky launch -y -c {name} --region us-central1 --cloud gcp tests/test_yamls/minimal.yaml', - f'sky exec {name} tests/test_yamls/minimal.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky exec {name} \'curl -H "Metadata-Flavor: Google" "http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/identity?format=standard&audience=gcp"\'', - f'sky logs {name} 2 --status', # Ensure the job succeeded. - f'sky status --all | grep {name} | grep us-central1', # Ensure the region is correct. - f'sky exec {name} \'echo $SKYPILOT_CLUSTER_INFO | jq .region | grep us-central1\'', - f'sky logs {name} 3 --status', # Ensure the job succeeded. - # A user program should not access SkyPilot runtime env python by default. - f'sky exec {name} \'which python | grep {constants.SKY_REMOTE_PYTHON_ENV_NAME} && exit 1 || true\'', - f'sky logs {name} 4 --status', # Ensure the job succeeded. - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.ibm -def test_ibm_region(): - name = _get_cluster_name() - region = 'eu-de' - test = Test( - 'region', - [ - f'sky launch -y -c {name} --cloud ibm --region {region} examples/minimal.yaml', - f'sky exec {name} --cloud ibm examples/minimal.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky status --all | grep {name} | grep {region}', # Ensure the region is correct. - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.azure -def test_azure_region(): - name = _get_cluster_name() - test = Test( - 'azure_region', - [ - f'sky launch -y -c {name} --region eastus2 --cloud azure tests/test_yamls/minimal.yaml', - f'sky exec {name} tests/test_yamls/minimal.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky status --all | grep {name} | grep eastus2', # Ensure the region is correct. - f'sky exec {name} \'echo $SKYPILOT_CLUSTER_INFO | jq .region | grep eastus2\'', - f'sky logs {name} 2 --status', # Ensure the job succeeded. - f'sky exec {name} \'echo $SKYPILOT_CLUSTER_INFO | jq .zone | grep null\'', - f'sky logs {name} 3 --status', # Ensure the job succeeded. - # A user program should not access SkyPilot runtime env python by default. - f'sky exec {name} \'which python | grep {constants.SKY_REMOTE_PYTHON_ENV_NAME} && exit 1 || true\'', - f'sky logs {name} 4 --status', # Ensure the job succeeded. - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Test zone ---------- -@pytest.mark.aws -def test_aws_zone(): - name = _get_cluster_name() - test = Test( - 'aws_zone', - [ - f'sky launch -y -c {name} examples/minimal.yaml --zone us-east-2b', - f'sky exec {name} examples/minimal.yaml --zone us-east-2b', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky status --all | grep {name} | grep us-east-2b', # Ensure the zone is correct. - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.ibm -def test_ibm_zone(): - name = _get_cluster_name() - zone = 'eu-de-2' - test = Test( - 'zone', - [ - f'sky launch -y -c {name} --cloud ibm examples/minimal.yaml --zone {zone}', - f'sky exec {name} --cloud ibm examples/minimal.yaml --zone {zone}', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky status --all | grep {name} | grep {zone}', # Ensure the zone is correct. - ], - f'sky down -y {name} {name}-2 {name}-3', - ) - run_one_test(test) - - -@pytest.mark.gcp -def test_gcp_zone(): - name = _get_cluster_name() - test = Test( - 'gcp_zone', - [ - f'sky launch -y -c {name} --zone us-central1-a --cloud gcp tests/test_yamls/minimal.yaml', - f'sky exec {name} --zone us-central1-a --cloud gcp tests/test_yamls/minimal.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky status --all | grep {name} | grep us-central1-a', # Ensure the zone is correct. - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Test the image ---------- -@pytest.mark.aws -def test_aws_images(): - name = _get_cluster_name() - test = Test( - 'aws_images', - [ - f'sky launch -y -c {name} --image-id skypilot:gpu-ubuntu-1804 examples/minimal.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky launch -c {name} --image-id skypilot:gpu-ubuntu-2004 examples/minimal.yaml && exit 1 || true', - f'sky launch -y -c {name} examples/minimal.yaml', - f'sky logs {name} 2 --status', - f'sky logs {name} --status | grep "Job 2: SUCCEEDED"', # Equivalent. - f'sky exec {name} \'echo $SKYPILOT_CLUSTER_INFO | jq .cloud | grep -i aws\'', - f'sky logs {name} 3 --status', # Ensure the job succeeded. - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.gcp -def test_gcp_images(): - name = _get_cluster_name() - test = Test( - 'gcp_images', - [ - f'sky launch -y -c {name} --image-id skypilot:gpu-debian-10 --cloud gcp tests/test_yamls/minimal.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky launch -c {name} --image-id skypilot:cpu-debian-10 --cloud gcp tests/test_yamls/minimal.yaml && exit 1 || true', - f'sky launch -y -c {name} tests/test_yamls/minimal.yaml', - f'sky logs {name} 2 --status', - f'sky logs {name} --status | grep "Job 2: SUCCEEDED"', # Equivalent. - f'sky exec {name} \'echo $SKYPILOT_CLUSTER_INFO | jq .cloud | grep -i gcp\'', - f'sky logs {name} 3 --status', # Ensure the job succeeded. - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.azure -def test_azure_images(): - name = _get_cluster_name() - test = Test( - 'azure_images', - [ - f'sky launch -y -c {name} --image-id skypilot:gpu-ubuntu-2204 --cloud azure tests/test_yamls/minimal.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky launch -c {name} --image-id skypilot:v1-ubuntu-2004 --cloud azure tests/test_yamls/minimal.yaml && exit 1 || true', - f'sky launch -y -c {name} tests/test_yamls/minimal.yaml', - f'sky logs {name} 2 --status', - f'sky logs {name} --status | grep "Job 2: SUCCEEDED"', # Equivalent. - f'sky exec {name} \'echo $SKYPILOT_CLUSTER_INFO | jq .cloud | grep -i azure\'', - f'sky logs {name} 3 --status', # Ensure the job succeeded. - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.aws -def test_aws_image_id_dict(): - name = _get_cluster_name() - test = Test( - 'aws_image_id_dict', - [ - # Use image id dict. - f'sky launch -y -c {name} examples/per_region_images.yaml', - f'sky exec {name} examples/per_region_images.yaml', - f'sky exec {name} "ls ~"', - f'sky logs {name} 1 --status', - f'sky logs {name} 2 --status', - f'sky logs {name} 3 --status', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.gcp -def test_gcp_image_id_dict(): - name = _get_cluster_name() - test = Test( - 'gcp_image_id_dict', - [ - # Use image id dict. - f'sky launch -y -c {name} tests/test_yamls/gcp_per_region_images.yaml', - f'sky exec {name} tests/test_yamls/gcp_per_region_images.yaml', - f'sky exec {name} "ls ~"', - f'sky logs {name} 1 --status', - f'sky logs {name} 2 --status', - f'sky logs {name} 3 --status', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.aws -def test_aws_image_id_dict_region(): - name = _get_cluster_name() - test = Test( - 'aws_image_id_dict_region', - [ - # YAML has - # image_id: - # us-west-2: skypilot:gpu-ubuntu-1804 - # us-east-2: skypilot:gpu-ubuntu-2004 - # Use region to filter image_id dict. - f'sky launch -y -c {name} --region us-east-1 examples/per_region_images.yaml && exit 1 || true', - f'sky status | grep {name} && exit 1 || true', # Ensure the cluster is not created. - f'sky launch -y -c {name} --region us-east-2 examples/per_region_images.yaml', - # Should success because the image id match for the region. - f'sky launch -c {name} --image-id skypilot:gpu-ubuntu-2004 examples/minimal.yaml', - f'sky exec {name} --image-id skypilot:gpu-ubuntu-2004 examples/minimal.yaml', - f'sky exec {name} --image-id skypilot:gpu-ubuntu-1804 examples/minimal.yaml && exit 1 || true', - f'sky logs {name} 1 --status', - f'sky logs {name} 2 --status', - f'sky logs {name} 3 --status', - f'sky status --all | grep {name} | grep us-east-2', # Ensure the region is correct. - # Ensure exec works. - f'sky exec {name} --region us-east-2 examples/per_region_images.yaml', - f'sky exec {name} examples/per_region_images.yaml', - f'sky exec {name} --cloud aws --region us-east-2 "ls ~"', - f'sky exec {name} "ls ~"', - f'sky logs {name} 4 --status', - f'sky logs {name} 5 --status', - f'sky logs {name} 6 --status', - f'sky logs {name} 7 --status', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.gcp -def test_gcp_image_id_dict_region(): - name = _get_cluster_name() - test = Test( - 'gcp_image_id_dict_region', - [ - # Use region to filter image_id dict. - f'sky launch -y -c {name} --region us-east1 tests/test_yamls/gcp_per_region_images.yaml && exit 1 || true', - f'sky status | grep {name} && exit 1 || true', # Ensure the cluster is not created. - f'sky launch -y -c {name} --region us-west3 tests/test_yamls/gcp_per_region_images.yaml', - # Should success because the image id match for the region. - f'sky launch -c {name} --cloud gcp --image-id projects/ubuntu-os-cloud/global/images/ubuntu-1804-bionic-v20230112 tests/test_yamls/minimal.yaml', - f'sky exec {name} --cloud gcp --image-id projects/ubuntu-os-cloud/global/images/ubuntu-1804-bionic-v20230112 tests/test_yamls/minimal.yaml', - f'sky exec {name} --cloud gcp --image-id skypilot:cpu-debian-10 tests/test_yamls/minimal.yaml && exit 1 || true', - f'sky logs {name} 1 --status', - f'sky logs {name} 2 --status', - f'sky logs {name} 3 --status', - f'sky status --all | grep {name} | grep us-west3', # Ensure the region is correct. - # Ensure exec works. - f'sky exec {name} --region us-west3 tests/test_yamls/gcp_per_region_images.yaml', - f'sky exec {name} tests/test_yamls/gcp_per_region_images.yaml', - f'sky exec {name} --cloud gcp --region us-west3 "ls ~"', - f'sky exec {name} "ls ~"', - f'sky logs {name} 4 --status', - f'sky logs {name} 5 --status', - f'sky logs {name} 6 --status', - f'sky logs {name} 7 --status', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.aws -def test_aws_image_id_dict_zone(): - name = _get_cluster_name() - test = Test( - 'aws_image_id_dict_zone', - [ - # YAML has - # image_id: - # us-west-2: skypilot:gpu-ubuntu-1804 - # us-east-2: skypilot:gpu-ubuntu-2004 - # Use zone to filter image_id dict. - f'sky launch -y -c {name} --zone us-east-1b examples/per_region_images.yaml && exit 1 || true', - f'sky status | grep {name} && exit 1 || true', # Ensure the cluster is not created. - f'sky launch -y -c {name} --zone us-east-2a examples/per_region_images.yaml', - # Should success because the image id match for the zone. - f'sky launch -y -c {name} --image-id skypilot:gpu-ubuntu-2004 examples/minimal.yaml', - f'sky exec {name} --image-id skypilot:gpu-ubuntu-2004 examples/minimal.yaml', - # Fail due to image id mismatch. - f'sky exec {name} --image-id skypilot:gpu-ubuntu-1804 examples/minimal.yaml && exit 1 || true', - f'sky logs {name} 1 --status', - f'sky logs {name} 2 --status', - f'sky logs {name} 3 --status', - f'sky status --all | grep {name} | grep us-east-2a', # Ensure the zone is correct. - # Ensure exec works. - f'sky exec {name} --zone us-east-2a examples/per_region_images.yaml', - f'sky exec {name} examples/per_region_images.yaml', - f'sky exec {name} --cloud aws --region us-east-2 "ls ~"', - f'sky exec {name} "ls ~"', - f'sky logs {name} 4 --status', - f'sky logs {name} 5 --status', - f'sky logs {name} 6 --status', - f'sky logs {name} 7 --status', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.gcp -def test_gcp_image_id_dict_zone(): - name = _get_cluster_name() - test = Test( - 'gcp_image_id_dict_zone', - [ - # Use zone to filter image_id dict. - f'sky launch -y -c {name} --zone us-east1-a tests/test_yamls/gcp_per_region_images.yaml && exit 1 || true', - f'sky status | grep {name} && exit 1 || true', # Ensure the cluster is not created. - f'sky launch -y -c {name} --zone us-central1-a tests/test_yamls/gcp_per_region_images.yaml', - # Should success because the image id match for the zone. - f'sky launch -y -c {name} --cloud gcp --image-id skypilot:cpu-debian-10 tests/test_yamls/minimal.yaml', - f'sky exec {name} --cloud gcp --image-id skypilot:cpu-debian-10 tests/test_yamls/minimal.yaml', - # Fail due to image id mismatch. - f'sky exec {name} --cloud gcp --image-id skypilot:gpu-debian-10 tests/test_yamls/minimal.yaml && exit 1 || true', - f'sky logs {name} 1 --status', - f'sky logs {name} 2 --status', - f'sky logs {name} 3 --status', - f'sky status --all | grep {name} | grep us-central1', # Ensure the zone is correct. - # Ensure exec works. - f'sky exec {name} --cloud gcp --zone us-central1-a tests/test_yamls/gcp_per_region_images.yaml', - f'sky exec {name} tests/test_yamls/gcp_per_region_images.yaml', - f'sky exec {name} --cloud gcp --region us-central1 "ls ~"', - f'sky exec {name} "ls ~"', - f'sky logs {name} 4 --status', - f'sky logs {name} 5 --status', - f'sky logs {name} 6 --status', - f'sky logs {name} 7 --status', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.aws -def test_clone_disk_aws(): - name = _get_cluster_name() - test = Test( - 'clone_disk_aws', - [ - f'sky launch -y -c {name} --cloud aws --region us-east-2 --retry-until-up "echo hello > ~/user_file.txt"', - f'sky launch --clone-disk-from {name} -y -c {name}-clone && exit 1 || true', - f'sky stop {name} -y', - _get_cmd_wait_until_cluster_status_contains( - cluster_name=name, - cluster_status=[sky.ClusterStatus.STOPPED], - timeout=60), - # Wait for EC2 instance to be in stopped state. - # TODO: event based wait. - 'sleep 60', - f'sky launch --clone-disk-from {name} -y -c {name}-clone --cloud aws -d --region us-east-2 "cat ~/user_file.txt | grep hello"', - f'sky launch --clone-disk-from {name} -y -c {name}-clone-2 --cloud aws -d --region us-east-2 "cat ~/user_file.txt | grep hello"', - f'sky logs {name}-clone 1 --status', - f'sky logs {name}-clone-2 1 --status', - ], - f'sky down -y {name} {name}-clone {name}-clone-2', - timeout=30 * 60, - ) - run_one_test(test) - - -@pytest.mark.gcp -def test_clone_disk_gcp(): - name = _get_cluster_name() - test = Test( - 'clone_disk_gcp', - [ - f'sky launch -y -c {name} --cloud gcp --zone us-east1-b --retry-until-up "echo hello > ~/user_file.txt"', - f'sky launch --clone-disk-from {name} -y -c {name}-clone && exit 1 || true', - f'sky stop {name} -y', - f'sky launch --clone-disk-from {name} -y -c {name}-clone --cloud gcp --zone us-central1-a "cat ~/user_file.txt | grep hello"', - f'sky launch --clone-disk-from {name} -y -c {name}-clone-2 --cloud gcp --zone us-east1-b "cat ~/user_file.txt | grep hello"', - f'sky logs {name}-clone 1 --status', - f'sky logs {name}-clone-2 1 --status', - ], - f'sky down -y {name} {name}-clone {name}-clone-2', - ) - run_one_test(test) - - -@pytest.mark.gcp -def test_gcp_mig(): - name = _get_cluster_name() - region = 'us-central1' - test = Test( - 'gcp_mig', - [ - f'sky launch -y -c {name} --gpus t4 --num-nodes 2 --image-id skypilot:gpu-debian-10 --cloud gcp --region {region} tests/test_yamls/minimal.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky launch -y -c {name} tests/test_yamls/minimal.yaml', - f'sky logs {name} 2 --status', - f'sky logs {name} --status | grep "Job 2: SUCCEEDED"', # Equivalent. - # Check MIG exists. - f'gcloud compute instance-groups managed list --format="value(name)" | grep "^sky-mig-{name}"', - f'sky autostop -i 0 --down -y {name}', - _get_cmd_wait_until_cluster_is_not_found(cluster_name=name, - timeout=120), - f'gcloud compute instance-templates list | grep "sky-it-{name}"', - # Launch again with the same region. The original instance template - # should be removed. - f'sky launch -y -c {name} --gpus L4 --num-nodes 2 --region {region} nvidia-smi', - f'sky logs {name} 1 | grep "L4"', - f'sky down -y {name}', - f'gcloud compute instance-templates list | grep "sky-it-{name}" && exit 1 || true', - ], - f'sky down -y {name}', - env={'SKYPILOT_CONFIG': 'tests/test_yamls/use_mig_config.yaml'}) - run_one_test(test) - - -@pytest.mark.gcp -def test_gcp_force_enable_external_ips(): - name = _get_cluster_name() - test_commands = [ - f'sky launch -y -c {name} --cloud gcp --cpus 2 tests/test_yamls/minimal.yaml', - # Check network of vm is "default" - (f'gcloud compute instances list --filter=name~"{name}" --format=' - '"value(networkInterfaces.network)" | grep "networks/default"'), - # Check External NAT in network access configs, corresponds to external ip - (f'gcloud compute instances list --filter=name~"{name}" --format=' - '"value(networkInterfaces.accessConfigs[0].name)" | grep "External NAT"' - ), - f'sky down -y {name}', - ] - skypilot_config = 'tests/test_yamls/force_enable_external_ips_config.yaml' - test = Test('gcp_force_enable_external_ips', - test_commands, - f'sky down -y {name}', - env={'SKYPILOT_CONFIG': skypilot_config}) - run_one_test(test) - - -@pytest.mark.aws -def test_image_no_conda(): - name = _get_cluster_name() - test = Test( - 'image_no_conda', - [ - # Use image id dict. - f'sky launch -y -c {name} --region us-east-2 examples/per_region_images.yaml', - f'sky logs {name} 1 --status', - f'sky stop {name} -y', - f'sky start {name} -y', - f'sky exec {name} examples/per_region_images.yaml', - f'sky logs {name} 2 --status', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.no_fluidstack # FluidStack does not support stopping instances in SkyPilot implementation -@pytest.mark.no_kubernetes # Kubernetes does not support stopping instances -def test_custom_default_conda_env(generic_cloud: str): - name = _get_cluster_name() - test = Test('custom_default_conda_env', [ - f'sky launch -c {name} -y --cloud {generic_cloud} tests/test_yamls/test_custom_default_conda_env.yaml', - f'sky status -r {name} | grep "UP"', - f'sky logs {name} 1 --status', - f'sky logs {name} 1 --no-follow | grep -E "myenv\\s+\\*"', - f'sky exec {name} tests/test_yamls/test_custom_default_conda_env.yaml', - f'sky logs {name} 2 --status', - f'sky autostop -y -i 0 {name}', - _get_cmd_wait_until_cluster_status_contains( - cluster_name=name, - cluster_status=[sky.ClusterStatus.STOPPED], - timeout=80), - f'sky start -y {name}', - f'sky logs {name} 2 --no-follow | grep -E "myenv\\s+\\*"', - f'sky exec {name} tests/test_yamls/test_custom_default_conda_env.yaml', - f'sky logs {name} 3 --status', - ], f'sky down -y {name}') - run_one_test(test) - - -# ------------ Test stale job ------------ -@pytest.mark.no_fluidstack # FluidStack does not support stopping instances in SkyPilot implementation -@pytest.mark.no_lambda_cloud # Lambda Cloud does not support stopping instances -@pytest.mark.no_kubernetes # Kubernetes does not support stopping instances -def test_stale_job(generic_cloud: str): - name = _get_cluster_name() - test = Test( - 'stale_job', - [ - f'sky launch -y -c {name} --cloud {generic_cloud} "echo hi"', - f'sky exec {name} -d "echo start; sleep 10000"', - f'sky stop {name} -y', - _get_cmd_wait_until_cluster_status_contains( - cluster_name=name, - cluster_status=[sky.ClusterStatus.STOPPED], - timeout=100), - f'sky start {name} -y', - f'sky logs {name} 1 --status', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep FAILED_DRIVER', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.aws -def test_aws_stale_job_manual_restart(): - name = _get_cluster_name() - name_on_cloud = common_utils.make_cluster_name_on_cloud( - name, sky.AWS.max_cluster_name_length()) - region = 'us-east-2' - test = Test( - 'aws_stale_job_manual_restart', - [ - f'sky launch -y -c {name} --cloud aws --region {region} "echo hi"', - f'sky exec {name} -d "echo start; sleep 10000"', - # Stop the cluster manually. - f'id=`aws ec2 describe-instances --region {region} --filters ' - f'Name=tag:ray-cluster-name,Values={name_on_cloud} ' - f'--query Reservations[].Instances[].InstanceId ' - '--output text`; ' - f'aws ec2 stop-instances --region {region} ' - '--instance-ids $id', - _get_cmd_wait_until_cluster_status_contains( - cluster_name=name, - cluster_status=[sky.ClusterStatus.STOPPED], - timeout=40), - f'sky launch -c {name} -y "echo hi"', - f'sky logs {name} 1 --status', - f'sky logs {name} 3 --status', - # Ensure the skylet updated the stale job status. - _get_cmd_wait_until_job_status_contains_without_matching_job( - cluster_name=name, - job_status=[sky.JobStatus.FAILED_DRIVER], - timeout=events.JobSchedulerEvent.EVENT_INTERVAL_SECONDS), - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.gcp -def test_gcp_stale_job_manual_restart(): - name = _get_cluster_name() - name_on_cloud = common_utils.make_cluster_name_on_cloud( - name, sky.GCP.max_cluster_name_length()) - zone = 'us-west2-a' - query_cmd = (f'gcloud compute instances list --filter=' - f'"(labels.ray-cluster-name={name_on_cloud})" ' - f'--zones={zone} --format="value(name)"') - stop_cmd = (f'gcloud compute instances stop --zone={zone}' - f' --quiet $({query_cmd})') - test = Test( - 'gcp_stale_job_manual_restart', - [ - f'sky launch -y -c {name} --cloud gcp --zone {zone} "echo hi"', - f'sky exec {name} -d "echo start; sleep 10000"', - # Stop the cluster manually. - stop_cmd, - 'sleep 40', - f'sky launch -c {name} -y "echo hi"', - f'sky logs {name} 1 --status', - f'sky logs {name} 3 --status', - # Ensure the skylet updated the stale job status. - _get_cmd_wait_until_job_status_contains_without_matching_job( - cluster_name=name, - job_status=[sky.JobStatus.FAILED_DRIVER], - timeout=events.JobSchedulerEvent.EVENT_INTERVAL_SECONDS) - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Check Sky's environment variables; workdir. ---------- -@pytest.mark.no_fluidstack # Requires amazon S3 -@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet -def test_env_check(generic_cloud: str): - name = _get_cluster_name() - total_timeout_minutes = 25 if generic_cloud == 'azure' else 15 - test = Test( - 'env_check', - [ - f'sky launch -y -c {name} --cloud {generic_cloud} --detach-setup examples/env_check.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - # Test --detach-setup with only setup. - f'sky launch -y -c {name} --detach-setup tests/test_yamls/test_only_setup.yaml', - f'sky logs {name} 2 --status', - f'sky logs {name} 2 | grep "hello world"', - ], - f'sky down -y {name}', - timeout=total_timeout_minutes * 60, - ) - run_one_test(test) - - -# ---------- file_mounts ---------- -@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet. Run test_scp_file_mounts instead. -def test_file_mounts(generic_cloud: str): - name = _get_cluster_name() - extra_flags = '' - if generic_cloud in 'kubernetes': - # Kubernetes does not support multi-node - # NOTE: This test will fail if you have a Kubernetes cluster running on - # arm64 (e.g., Apple Silicon) since goofys does not work on arm64. - extra_flags = '--num-nodes 1' - test_commands = [ - *STORAGE_SETUP_COMMANDS, - f'sky launch -y -c {name} --cloud {generic_cloud} {extra_flags} examples/using_file_mounts.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - ] - test = Test( - 'using_file_mounts', - test_commands, - f'sky down -y {name}', - _get_timeout(generic_cloud, 20 * 60), # 20 mins - ) - run_one_test(test) - - -@pytest.mark.scp -def test_scp_file_mounts(): - name = _get_cluster_name() - test_commands = [ - *STORAGE_SETUP_COMMANDS, - f'sky launch -y -c {name} {SCP_TYPE} --num-nodes 1 examples/using_file_mounts.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - ] - test = Test( - 'SCP_using_file_mounts', - test_commands, - f'sky down -y {name}', - timeout=20 * 60, # 20 mins - ) - run_one_test(test) - - -@pytest.mark.no_fluidstack # Requires GCP to be enabled -def test_using_file_mounts_with_env_vars(generic_cloud: str): - name = _get_cluster_name() - storage_name = TestStorageWithCredentials.generate_bucket_name() - test_commands = [ - *STORAGE_SETUP_COMMANDS, - (f'sky launch -y -c {name} --cpus 2+ --cloud {generic_cloud} ' - 'examples/using_file_mounts_with_env_vars.yaml ' - f'--env MY_BUCKET={storage_name}'), - f'sky logs {name} 1 --status', # Ensure the job succeeded. - # Override with --env: - (f'sky launch -y -c {name}-2 --cpus 2+ --cloud {generic_cloud} ' - 'examples/using_file_mounts_with_env_vars.yaml ' - f'--env MY_BUCKET={storage_name} ' - '--env MY_LOCAL_PATH=tmpfile'), - f'sky logs {name}-2 1 --status', # Ensure the job succeeded. - ] - test = Test( - 'using_file_mounts_with_env_vars', - test_commands, - (f'sky down -y {name} {name}-2', - f'sky storage delete -y {storage_name} {storage_name}-2'), - timeout=20 * 60, # 20 mins - ) - run_one_test(test) - - -# ---------- storage ---------- - - -def _storage_mounts_commands_generator(f: TextIO, cluster_name: str, - storage_name: str, ls_hello_command: str, - cloud: str, only_mount: bool): - template_str = pathlib.Path( - 'tests/test_yamls/test_storage_mounting.yaml.j2').read_text() - template = jinja2.Template(template_str) - content = template.render( - storage_name=storage_name, - cloud=cloud, - only_mount=only_mount, - ) - f.write(content) - f.flush() - file_path = f.name - test_commands = [ - *STORAGE_SETUP_COMMANDS, - f'sky launch -y -c {cluster_name} --cloud {cloud} {file_path}', - f'sky logs {cluster_name} 1 --status', # Ensure job succeeded. - ls_hello_command, - f'sky stop -y {cluster_name}', - f'sky start -y {cluster_name}', - # Check if hello.txt from mounting bucket exists after restart in - # the mounted directory - f'sky exec {cluster_name} -- "set -ex; ls /mount_private_mount/hello.txt"', - ] - clean_command = f'sky down -y {cluster_name}; sky storage delete -y {storage_name}' - return test_commands, clean_command - - -@pytest.mark.aws -def test_aws_storage_mounts_with_stop(): - name = _get_cluster_name() - cloud = 'aws' - storage_name = f'sky-test-{int(time.time())}' - ls_hello_command = f'aws s3 ls {storage_name}/hello.txt' - with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: - test_commands, clean_command = _storage_mounts_commands_generator( - f, name, storage_name, ls_hello_command, cloud, False) - test = Test( - 'aws_storage_mounts', - test_commands, - clean_command, - timeout=20 * 60, # 20 mins - ) - run_one_test(test) - - -@pytest.mark.aws -def test_aws_storage_mounts_with_stop_only_mount(): - name = _get_cluster_name() - cloud = 'aws' - storage_name = f'sky-test-{int(time.time())}' - ls_hello_command = f'aws s3 ls {storage_name}/hello.txt' - with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: - test_commands, clean_command = _storage_mounts_commands_generator( - f, name, storage_name, ls_hello_command, cloud, True) - test = Test( - 'aws_storage_mounts_only_mount', - test_commands, - clean_command, - timeout=20 * 60, # 20 mins - ) - run_one_test(test) - - -@pytest.mark.gcp -def test_gcp_storage_mounts_with_stop(): - name = _get_cluster_name() - cloud = 'gcp' - storage_name = f'sky-test-{int(time.time())}' - ls_hello_command = f'gsutil ls gs://{storage_name}/hello.txt' - with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: - test_commands, clean_command = _storage_mounts_commands_generator( - f, name, storage_name, ls_hello_command, cloud, False) - test = Test( - 'gcp_storage_mounts', - test_commands, - clean_command, - timeout=20 * 60, # 20 mins - ) - run_one_test(test) - - -@pytest.mark.azure -def test_azure_storage_mounts_with_stop(): - name = _get_cluster_name() - cloud = 'azure' - storage_name = f'sky-test-{int(time.time())}' - default_region = 'eastus' - storage_account_name = (storage_lib.AzureBlobStore. - get_default_storage_account_name(default_region)) - storage_account_key = data_utils.get_az_storage_account_key( - storage_account_name) - # if the file does not exist, az storage blob list returns '[]' - ls_hello_command = (f'output=$(az storage blob list -c {storage_name} ' - f'--account-name {storage_account_name} ' - f'--account-key {storage_account_key} ' - f'--prefix hello.txt) ' - f'[ "$output" = "[]" ] && exit 1 || exit 0') - with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: - test_commands, clean_command = _storage_mounts_commands_generator( - f, name, storage_name, ls_hello_command, cloud, False) - test = Test( - 'azure_storage_mounts', - test_commands, - clean_command, - timeout=20 * 60, # 20 mins - ) - run_one_test(test) - - -@pytest.mark.kubernetes -def test_kubernetes_storage_mounts(): - # Tests bucket mounting on k8s, assuming S3 is configured. - # This test will fail if run on non x86_64 architecture, since goofys is - # built for x86_64 only. - name = _get_cluster_name() - storage_name = f'sky-test-{int(time.time())}' - ls_hello_command = (f'aws s3 ls {storage_name}/hello.txt || ' - f'gsutil ls gs://{storage_name}/hello.txt') - with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: - test_commands, clean_command = _storage_mounts_commands_generator( - f, name, storage_name, ls_hello_command, 'kubernetes', False) - test = Test( - 'kubernetes_storage_mounts', - test_commands, - clean_command, - timeout=20 * 60, # 20 mins - ) - run_one_test(test) - - -@pytest.mark.kubernetes -def test_kubernetes_context_switch(): - name = _get_cluster_name() - new_context = f'sky-test-context-{int(time.time())}' - new_namespace = f'sky-test-namespace-{int(time.time())}' - - test_commands = [ - # Launch a cluster and run a simple task - f'sky launch -y -c {name} --cloud kubernetes "echo Hello from original context"', - f'sky logs {name} 1 --status', # Ensure job succeeded - - # Get current context details and save to a file for later use in cleanup - 'CURRENT_CONTEXT=$(kubectl config current-context); ' - 'echo "$CURRENT_CONTEXT" > /tmp/sky_test_current_context; ' - 'CURRENT_CLUSTER=$(kubectl config view -o jsonpath="{.contexts[?(@.name==\\"$CURRENT_CONTEXT\\")].context.cluster}"); ' - 'CURRENT_USER=$(kubectl config view -o jsonpath="{.contexts[?(@.name==\\"$CURRENT_CONTEXT\\")].context.user}"); ' - - # Create a new context with a different name and namespace - f'kubectl config set-context {new_context} --cluster="$CURRENT_CLUSTER" --user="$CURRENT_USER" --namespace={new_namespace}', - - # Create the new namespace if it doesn't exist - f'kubectl create namespace {new_namespace} --dry-run=client -o yaml | kubectl apply -f -', - - # Set the new context as active - f'kubectl config use-context {new_context}', - - # Verify the new context is active - f'[ "$(kubectl config current-context)" = "{new_context}" ] || exit 1', - - # Try to run sky exec on the original cluster (should still work) - f'sky exec {name} "echo Success: sky exec works after context switch"', - - # Test sky queue - f'sky queue {name}', - - # Test SSH access - f'ssh {name} whoami', - ] - - cleanup_commands = ( - f'kubectl delete namespace {new_namespace}; ' - f'kubectl config delete-context {new_context}; ' - 'kubectl config use-context $(cat /tmp/sky_test_current_context); ' - 'rm /tmp/sky_test_current_context; ' - f'sky down -y {name}') - - test = Test( - 'kubernetes_context_switch', - test_commands, - cleanup_commands, - timeout=20 * 60, # 20 mins - ) - run_one_test(test) - - -@pytest.mark.parametrize( - 'image_id', - [ - 'docker:nvidia/cuda:11.8.0-devel-ubuntu18.04', - 'docker:ubuntu:18.04', - # Test image with python 3.11 installed by default. - 'docker:continuumio/miniconda3:24.1.2-0', - # Test python>=3.12 where SkyPilot should automatically create a separate - # conda env for runtime with python 3.10. - 'docker:continuumio/miniconda3:latest', - ]) -def test_docker_storage_mounts(generic_cloud: str, image_id: str): - # Tests bucket mounting on docker container - name = _get_cluster_name() - timestamp = str(time.time()).replace('.', '') - storage_name = f'sky-test-{timestamp}' - template_str = pathlib.Path( - 'tests/test_yamls/test_storage_mounting.yaml.j2').read_text() - template = jinja2.Template(template_str) - # ubuntu 18.04 does not support fuse3, and blobfuse2 depends on fuse3. - azure_mount_unsupported_ubuntu_version = '18.04' - # Commands to verify bucket upload. We need to check all three - # storage types because the optimizer may pick any of them. - s3_command = f'aws s3 ls {storage_name}/hello.txt' - gsutil_command = f'gsutil ls gs://{storage_name}/hello.txt' - azure_blob_command = TestStorageWithCredentials.cli_ls_cmd( - storage_lib.StoreType.AZURE, storage_name, suffix='hello.txt') - if azure_mount_unsupported_ubuntu_version in image_id: - # The store for mount_private_mount is not specified in the template. - # If we're running on Azure, the private mount will be created on - # azure blob. That will not be supported on the ubuntu 18.04 image - # and thus fail. For other clouds, the private mount on other - # storage types (GCS/S3) should succeed. - include_private_mount = False if generic_cloud == 'azure' else True - content = template.render(storage_name=storage_name, - include_azure_mount=False, - include_private_mount=include_private_mount) - else: - content = template.render(storage_name=storage_name,) - with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: - f.write(content) - f.flush() - file_path = f.name - test_commands = [ - *STORAGE_SETUP_COMMANDS, - f'sky launch -y -c {name} --cloud {generic_cloud} --image-id {image_id} {file_path}', - f'sky logs {name} 1 --status', # Ensure job succeeded. - # Check AWS, GCP, or Azure storage mount. - f'{s3_command} || ' - f'{gsutil_command} || ' - f'{azure_blob_command}', - ] - test = Test( - 'docker_storage_mounts', - test_commands, - f'sky down -y {name}; sky storage delete -y {storage_name}', - timeout=20 * 60, # 20 mins - ) - run_one_test(test) - - -@pytest.mark.cloudflare -def test_cloudflare_storage_mounts(generic_cloud: str): - name = _get_cluster_name() - storage_name = f'sky-test-{int(time.time())}' - template_str = pathlib.Path( - 'tests/test_yamls/test_r2_storage_mounting.yaml').read_text() - template = jinja2.Template(template_str) - content = template.render(storage_name=storage_name) - endpoint_url = cloudflare.create_endpoint() - with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: - f.write(content) - f.flush() - file_path = f.name - test_commands = [ - *STORAGE_SETUP_COMMANDS, - f'sky launch -y -c {name} --cloud {generic_cloud} {file_path}', - f'sky logs {name} 1 --status', # Ensure job succeeded. - f'AWS_SHARED_CREDENTIALS_FILE={cloudflare.R2_CREDENTIALS_PATH} aws s3 ls s3://{storage_name}/hello.txt --endpoint {endpoint_url} --profile=r2' - ] - - test = Test( - 'cloudflare_storage_mounts', - test_commands, - f'sky down -y {name}; sky storage delete -y {storage_name}', - timeout=20 * 60, # 20 mins - ) - run_one_test(test) - - -@pytest.mark.ibm -def test_ibm_storage_mounts(): - name = _get_cluster_name() - storage_name = f'sky-test-{int(time.time())}' - bucket_rclone_profile = Rclone.generate_rclone_bucket_profile_name( - storage_name, Rclone.RcloneClouds.IBM) - template_str = pathlib.Path( - 'tests/test_yamls/test_ibm_cos_storage_mounting.yaml').read_text() - template = jinja2.Template(template_str) - content = template.render(storage_name=storage_name) - with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: - f.write(content) - f.flush() - file_path = f.name - test_commands = [ - *STORAGE_SETUP_COMMANDS, - f'sky launch -y -c {name} --cloud ibm {file_path}', - f'sky logs {name} 1 --status', # Ensure job succeeded. - f'rclone ls {bucket_rclone_profile}:{storage_name}/hello.txt', - ] - test = Test( - 'ibm_storage_mounts', - test_commands, - f'sky down -y {name}; sky storage delete -y {storage_name}', - timeout=20 * 60, # 20 mins - ) - run_one_test(test) - - -# ---------- CLI logs ---------- -@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet. Run test_scp_logs instead. -def test_cli_logs(generic_cloud: str): - name = _get_cluster_name() - num_nodes = 2 - if generic_cloud == 'kubernetes': - # Kubernetes does not support multi-node - num_nodes = 1 - timestamp = time.time() - test = Test('cli_logs', [ - f'sky launch -y -c {name} --cloud {generic_cloud} --num-nodes {num_nodes} "echo {timestamp} 1"', - f'sky exec {name} "echo {timestamp} 2"', - f'sky exec {name} "echo {timestamp} 3"', - f'sky exec {name} "echo {timestamp} 4"', - f'sky logs {name} 2 --status', - f'sky logs {name} 3 4 --sync-down', - f'sky logs {name} * --sync-down', - f'sky logs {name} 1 | grep "{timestamp} 1"', - f'sky logs {name} | grep "{timestamp} 4"', - ], f'sky down -y {name}') - run_one_test(test) - - -@pytest.mark.scp -def test_scp_logs(): - name = _get_cluster_name() - timestamp = time.time() - test = Test( - 'SCP_cli_logs', - [ - f'sky launch -y -c {name} {SCP_TYPE} "echo {timestamp} 1"', - f'sky exec {name} "echo {timestamp} 2"', - f'sky exec {name} "echo {timestamp} 3"', - f'sky exec {name} "echo {timestamp} 4"', - f'sky logs {name} 2 --status', - f'sky logs {name} 3 4 --sync-down', - f'sky logs {name} * --sync-down', - f'sky logs {name} 1 | grep "{timestamp} 1"', - f'sky logs {name} | grep "{timestamp} 4"', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Job Queue. ---------- -@pytest.mark.no_fluidstack # FluidStack DC has low availability of T4 GPUs -@pytest.mark.no_lambda_cloud # Lambda Cloud does not have T4 gpus -@pytest.mark.no_ibm # IBM Cloud does not have T4 gpus. run test_ibm_job_queue instead -@pytest.mark.no_scp # SCP does not have T4 gpus. Run test_scp_job_queue instead -@pytest.mark.no_paperspace # Paperspace does not have T4 gpus. -@pytest.mark.no_oci # OCI does not have T4 gpus -def test_job_queue(generic_cloud: str): - name = _get_cluster_name() - test = Test( - 'job_queue', - [ - f'sky launch -y -c {name} --cloud {generic_cloud} examples/job_queue/cluster.yaml', - f'sky exec {name} -n {name}-1 -d examples/job_queue/job.yaml', - f'sky exec {name} -n {name}-2 -d examples/job_queue/job.yaml', - f'sky exec {name} -n {name}-3 -d examples/job_queue/job.yaml', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-1 | grep RUNNING', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-2 | grep RUNNING', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-3 | grep PENDING', - f'sky cancel -y {name} 2', - 'sleep 5', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-3 | grep RUNNING', - f'sky cancel -y {name} 3', - f'sky exec {name} --gpus T4:0.2 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', - f'sky exec {name} --gpus T4:1 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', - f'sky logs {name} 4 --status', - f'sky logs {name} 5 --status', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Job Queue with Docker. ---------- -@pytest.mark.no_fluidstack # FluidStack does not support docker for now -@pytest.mark.no_lambda_cloud # Doesn't support Lambda Cloud for now -@pytest.mark.no_ibm # Doesn't support IBM Cloud for now -@pytest.mark.no_paperspace # Paperspace doesn't have T4 GPUs -@pytest.mark.no_scp # Doesn't support SCP for now -@pytest.mark.no_oci # Doesn't support OCI for now -@pytest.mark.no_kubernetes # Doesn't support Kubernetes for now -@pytest.mark.parametrize( - 'image_id', - [ - 'docker:nvidia/cuda:11.8.0-devel-ubuntu18.04', - 'docker:ubuntu:18.04', - # Test latest image with python 3.11 installed by default. - 'docker:continuumio/miniconda3:24.1.2-0', - # Test python>=3.12 where SkyPilot should automatically create a separate - # conda env for runtime with python 3.10. - 'docker:continuumio/miniconda3:latest', - # Axolotl image is a good example custom image that has its conda path - # set in PATH with dockerfile and uses python>=3.12. It could test: - # 1. we handle the env var set in dockerfile correctly - # 2. python>=3.12 works with SkyPilot runtime. - 'docker:winglian/axolotl:main-latest' - ]) -def test_job_queue_with_docker(generic_cloud: str, image_id: str): - name = _get_cluster_name() + image_id[len('docker:'):][:4] - total_timeout_minutes = 40 if generic_cloud == 'azure' else 15 - time_to_sleep = 300 if generic_cloud == 'azure' else 180 - test = Test( - 'job_queue_with_docker', - [ - f'sky launch -y -c {name} --cloud {generic_cloud} --image-id {image_id} examples/job_queue/cluster_docker.yaml', - f'sky exec {name} -n {name}-1 -d --image-id {image_id} --env TIME_TO_SLEEP={time_to_sleep} examples/job_queue/job_docker.yaml', - f'sky exec {name} -n {name}-2 -d --image-id {image_id} --env TIME_TO_SLEEP={time_to_sleep} examples/job_queue/job_docker.yaml', - f'sky exec {name} -n {name}-3 -d --image-id {image_id} --env TIME_TO_SLEEP={time_to_sleep} examples/job_queue/job_docker.yaml', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-1 | grep RUNNING', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-2 | grep RUNNING', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-3 | grep PENDING', - f'sky cancel -y {name} 2', - 'sleep 5', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-3 | grep RUNNING', - f'sky cancel -y {name} 3', - # Make sure the GPU is still visible to the container. - f'sky exec {name} --image-id {image_id} nvidia-smi | grep "Tesla T4"', - f'sky logs {name} 4 --status', - f'sky stop -y {name}', - # Make sure the job status preserve after stop and start the - # cluster. This is also a test for the docker container to be - # preserved after stop and start. - f'sky start -y {name}', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-1 | grep FAILED', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-2 | grep CANCELLED', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-3 | grep CANCELLED', - f'sky exec {name} --gpus T4:0.2 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', - f'sky exec {name} --gpus T4:1 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', - f'sky logs {name} 5 --status', - f'sky logs {name} 6 --status', - # Make sure it is still visible after an stop & start cycle. - f'sky exec {name} --image-id {image_id} nvidia-smi | grep "Tesla T4"', - f'sky logs {name} 7 --status' - ], - f'sky down -y {name}', - timeout=total_timeout_minutes * 60, - ) - run_one_test(test) - - -@pytest.mark.lambda_cloud -def test_lambda_job_queue(): - name = _get_cluster_name() - test = Test( - 'lambda_job_queue', - [ - f'sky launch -y -c {name} {LAMBDA_TYPE} examples/job_queue/cluster.yaml', - f'sky exec {name} -n {name}-1 --gpus A10:0.5 -d examples/job_queue/job.yaml', - f'sky exec {name} -n {name}-2 --gpus A10:0.5 -d examples/job_queue/job.yaml', - f'sky exec {name} -n {name}-3 --gpus A10:0.5 -d examples/job_queue/job.yaml', - f'sky queue {name} | grep {name}-1 | grep RUNNING', - f'sky queue {name} | grep {name}-2 | grep RUNNING', - f'sky queue {name} | grep {name}-3 | grep PENDING', - f'sky cancel -y {name} 2', - 'sleep 5', - f'sky queue {name} | grep {name}-3 | grep RUNNING', - f'sky cancel -y {name} 3', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.ibm -def test_ibm_job_queue(): - name = _get_cluster_name() - test = Test( - 'ibm_job_queue', - [ - f'sky launch -y -c {name} --cloud ibm --gpus v100', - f'sky exec {name} -n {name}-1 --cloud ibm -d examples/job_queue/job_ibm.yaml', - f'sky exec {name} -n {name}-2 --cloud ibm -d examples/job_queue/job_ibm.yaml', - f'sky exec {name} -n {name}-3 --cloud ibm -d examples/job_queue/job_ibm.yaml', - f'sky queue {name} | grep {name}-1 | grep RUNNING', - f'sky queue {name} | grep {name}-2 | grep RUNNING', - f'sky queue {name} | grep {name}-3 | grep PENDING', - f'sky cancel -y {name} 2', - 'sleep 5', - f'sky queue {name} | grep {name}-3 | grep RUNNING', - f'sky cancel -y {name} 3', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.scp -def test_scp_job_queue(): - name = _get_cluster_name() - num_of_gpu_launch = 1 - num_of_gpu_exec = 0.5 - test = Test( - 'SCP_job_queue', - [ - f'sky launch -y -c {name} {SCP_TYPE} {SCP_GPU_V100}:{num_of_gpu_launch} examples/job_queue/cluster.yaml', - f'sky exec {name} -n {name}-1 {SCP_GPU_V100}:{num_of_gpu_exec} -d examples/job_queue/job.yaml', - f'sky exec {name} -n {name}-2 {SCP_GPU_V100}:{num_of_gpu_exec} -d examples/job_queue/job.yaml', - f'sky exec {name} -n {name}-3 {SCP_GPU_V100}:{num_of_gpu_exec} -d examples/job_queue/job.yaml', - f'sky queue {name} | grep {name}-1 | grep RUNNING', - f'sky queue {name} | grep {name}-2 | grep RUNNING', - f'sky queue {name} | grep {name}-3 | grep PENDING', - f'sky cancel -y {name} 2', - 'sleep 5', - f'sky queue {name} | grep {name}-3 | grep RUNNING', - f'sky cancel -y {name} 3', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.no_fluidstack # FluidStack DC has low availability of T4 GPUs -@pytest.mark.no_lambda_cloud # Lambda Cloud does not have T4 gpus -@pytest.mark.no_ibm # IBM Cloud does not have T4 gpus. run test_ibm_job_queue_multinode instead -@pytest.mark.no_paperspace # Paperspace does not have T4 gpus. -@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet -@pytest.mark.no_oci # OCI Cloud does not have T4 gpus. -@pytest.mark.no_kubernetes # Kubernetes not support num_nodes > 1 yet -def test_job_queue_multinode(generic_cloud: str): - name = _get_cluster_name() - total_timeout_minutes = 30 if generic_cloud == 'azure' else 15 - test = Test( - 'job_queue_multinode', - [ - f'sky launch -y -c {name} --cloud {generic_cloud} examples/job_queue/cluster_multinode.yaml', - f'sky exec {name} -n {name}-1 -d examples/job_queue/job_multinode.yaml', - f'sky exec {name} -n {name}-2 -d examples/job_queue/job_multinode.yaml', - f'sky launch -c {name} -n {name}-3 --detach-setup -d examples/job_queue/job_multinode.yaml', - f's=$(sky queue {name}) && echo "$s" && (echo "$s" | grep {name}-1 | grep RUNNING)', - f's=$(sky queue {name}) && echo "$s" && (echo "$s" | grep {name}-2 | grep RUNNING)', - f's=$(sky queue {name}) && echo "$s" && (echo "$s" | grep {name}-3 | grep PENDING)', - 'sleep 90', - f'sky cancel -y {name} 1', - 'sleep 5', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-3 | grep SETTING_UP', - f'sky cancel -y {name} 1 2 3', - f'sky launch -c {name} -n {name}-4 --detach-setup -d examples/job_queue/job_multinode.yaml', - # Test the job status is correctly set to SETTING_UP, during the setup is running, - # and the job can be cancelled during the setup. - 'sleep 5', - f's=$(sky queue {name}) && echo "$s" && (echo "$s" | grep {name}-4 | grep SETTING_UP)', - f'sky cancel -y {name} 4', - f's=$(sky queue {name}) && echo "$s" && (echo "$s" | grep {name}-4 | grep CANCELLED)', - f'sky exec {name} --gpus T4:0.2 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', - f'sky exec {name} --gpus T4:0.2 --num-nodes 2 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', - f'sky exec {name} --gpus T4:1 --num-nodes 2 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', - f'sky logs {name} 5 --status', - f'sky logs {name} 6 --status', - f'sky logs {name} 7 --status', - ], - f'sky down -y {name}', - timeout=total_timeout_minutes * 60, - ) - run_one_test(test) - - -@pytest.mark.no_fluidstack # No FluidStack VM has 8 CPUs -@pytest.mark.no_lambda_cloud # No Lambda Cloud VM has 8 CPUs -def test_large_job_queue(generic_cloud: str): - name = _get_cluster_name() - test = Test( - 'large_job_queue', - [ - f'sky launch -y -c {name} --cpus 8 --cloud {generic_cloud}', - f'for i in `seq 1 75`; do sky exec {name} -n {name}-$i -d "echo $i; sleep 100000000"; done', - f'sky cancel -y {name} 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16', - 'sleep 90', - - # Each job takes 0.5 CPU and the default VM has 8 CPUs, so there should be 8 / 0.5 = 16 jobs running. - # The first 16 jobs are canceled, so there should be 75 - 32 = 43 jobs PENDING. - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep -v grep | grep PENDING | wc -l | grep 43', - # Make sure the jobs are scheduled in FIFO order - *[ - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-{i} | grep CANCELLED' - for i in range(1, 17) - ], - *[ - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-{i} | grep RUNNING' - for i in range(17, 33) - ], - *[ - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-{i} | grep PENDING' - for i in range(33, 75) - ], - f'sky cancel -y {name} 33 35 37 39 17 18 19', - *[ - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-{i} | grep CANCELLED' - for i in range(33, 40, 2) - ], - 'sleep 10', - *[ - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-{i} | grep RUNNING' - for i in [34, 36, 38] - ], - ], - f'sky down -y {name}', - timeout=25 * 60, - ) - run_one_test(test) - - -@pytest.mark.no_fluidstack # No FluidStack VM has 8 CPUs -@pytest.mark.no_lambda_cloud # No Lambda Cloud VM has 8 CPUs -def test_fast_large_job_queue(generic_cloud: str): - # This is to test the jobs can be scheduled quickly when there are many jobs in the queue. - name = _get_cluster_name() - test = Test( - 'fast_large_job_queue', - [ - f'sky launch -y -c {name} --cpus 8 --cloud {generic_cloud}', - f'for i in `seq 1 32`; do sky exec {name} -n {name}-$i -d "echo $i"; done', - 'sleep 60', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep -v grep | grep SUCCEEDED | wc -l | grep 32', - ], - f'sky down -y {name}', - timeout=20 * 60, - ) - run_one_test(test) - - -@pytest.mark.ibm -def test_ibm_job_queue_multinode(): - name = _get_cluster_name() - task_file = 'examples/job_queue/job_multinode_ibm.yaml' - test = Test( - 'ibm_job_queue_multinode', - [ - f'sky launch -y -c {name} --cloud ibm --gpus v100 --num-nodes 2', - f'sky exec {name} -n {name}-1 -d {task_file}', - f'sky exec {name} -n {name}-2 -d {task_file}', - f'sky launch -y -c {name} -n {name}-3 --detach-setup -d {task_file}', - f's=$(sky queue {name}) && printf "$s" && (echo "$s" | grep {name}-1 | grep RUNNING)', - f's=$(sky queue {name}) && printf "$s" && (echo "$s" | grep {name}-2 | grep RUNNING)', - f's=$(sky queue {name}) && printf "$s" && (echo "$s" | grep {name}-3 | grep SETTING_UP)', - 'sleep 90', - f's=$(sky queue {name}) && printf "$s" && (echo "$s" | grep {name}-3 | grep PENDING)', - f'sky cancel -y {name} 1', - 'sleep 5', - f'sky queue {name} | grep {name}-3 | grep RUNNING', - f'sky cancel -y {name} 1 2 3', - f'sky launch -c {name} -n {name}-4 --detach-setup -d {task_file}', - # Test the job status is correctly set to SETTING_UP, during the setup is running, - # and the job can be cancelled during the setup. - f's=$(sky queue {name}) && printf "$s" && (echo "$s" | grep {name}-4 | grep SETTING_UP)', - f'sky cancel -y {name} 4', - f's=$(sky queue {name}) && printf "$s" && (echo "$s" | grep {name}-4 | grep CANCELLED)', - f'sky exec {name} --gpus v100:0.2 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', - f'sky exec {name} --gpus v100:0.2 --num-nodes 2 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', - f'sky exec {name} --gpus v100:1 --num-nodes 2 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', - f'sky logs {name} 5 --status', - f'sky logs {name} 6 --status', - f'sky logs {name} 7 --status', - ], - f'sky down -y {name}', - timeout=20 * 60, # 20 mins - ) - run_one_test(test) - - -# ---------- Docker with preinstalled package. ---------- -@pytest.mark.no_fluidstack # Doesn't support Fluidstack for now -@pytest.mark.no_lambda_cloud # Doesn't support Lambda Cloud for now -@pytest.mark.no_ibm # Doesn't support IBM Cloud for now -@pytest.mark.no_scp # Doesn't support SCP for now -@pytest.mark.no_oci # Doesn't support OCI for now -@pytest.mark.no_kubernetes # Doesn't support Kubernetes for now -# TODO(zhwu): we should fix this for kubernetes -def test_docker_preinstalled_package(generic_cloud: str): - name = _get_cluster_name() - test = Test( - 'docker_with_preinstalled_package', - [ - f'sky launch -y -c {name} --cloud {generic_cloud} --image-id docker:nginx', - f'sky exec {name} "nginx -V"', - f'sky logs {name} 1 --status', - f'sky exec {name} whoami | grep root', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Submitting multiple tasks to the same cluster. ---------- -@pytest.mark.no_fluidstack # FluidStack DC has low availability of T4 GPUs -@pytest.mark.no_lambda_cloud # Lambda Cloud does not have T4 gpus -@pytest.mark.no_paperspace # Paperspace does not have T4 gpus -@pytest.mark.no_ibm # IBM Cloud does not have T4 gpus -@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet -@pytest.mark.no_oci # OCI Cloud does not have T4 gpus -def test_multi_echo(generic_cloud: str): - name = _get_cluster_name() - test = Test( - 'multi_echo', - [ - f'python examples/multi_echo.py {name} {generic_cloud}', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep "FAILED" && exit 1 || true', - 'sleep 10', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep "FAILED" && exit 1 || true', - 'sleep 30', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep "FAILED" && exit 1 || true', - 'sleep 30', - # Make sure that our job scheduler is fast enough to have at least - # 10 RUNNING jobs in parallel. - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep "RUNNING" | wc -l | awk \'{{if ($1 < 10) exit 1}}\'', - 'sleep 30', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep "FAILED" && exit 1 || true', - f'until sky logs {name} 32 --status; do echo "Waiting for job 32 to finish..."; sleep 1; done', - ] + - # Ensure jobs succeeded. - [ - _get_cmd_wait_until_job_status_contains_matching_job_id( - cluster_name=name, - job_id=i + 1, - job_status=[sky.JobStatus.SUCCEEDED], - timeout=120) for i in range(32) - ] + - # Ensure monitor/autoscaler didn't crash on the 'assert not - # unfulfilled' error. If process not found, grep->ssh returns 1. - [f'ssh {name} \'ps aux | grep "[/]"monitor.py\''], - f'sky down -y {name}', - timeout=20 * 60, - ) - run_one_test(test) - - -# ---------- Task: 1 node training. ---------- -@pytest.mark.no_fluidstack # Fluidstack does not have T4 gpus for now -@pytest.mark.no_lambda_cloud # Lambda Cloud does not have V100 gpus -@pytest.mark.no_ibm # IBM cloud currently doesn't provide public image with CUDA -@pytest.mark.no_scp # SCP does not have V100 (16GB) GPUs. Run test_scp_huggingface instead. -def test_huggingface(generic_cloud: str): - name = _get_cluster_name() - test = Test( - 'huggingface_glue_imdb_app', - [ - f'sky launch -y -c {name} --cloud {generic_cloud} examples/huggingface_glue_imdb_app.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky exec {name} examples/huggingface_glue_imdb_app.yaml', - f'sky logs {name} 2 --status', # Ensure the job succeeded. - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.lambda_cloud -def test_lambda_huggingface(generic_cloud: str): - name = _get_cluster_name() - test = Test( - 'lambda_huggingface_glue_imdb_app', - [ - f'sky launch -y -c {name} {LAMBDA_TYPE} examples/huggingface_glue_imdb_app.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky exec {name} {LAMBDA_TYPE} examples/huggingface_glue_imdb_app.yaml', - f'sky logs {name} 2 --status', # Ensure the job succeeded. - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.scp -def test_scp_huggingface(generic_cloud: str): - name = _get_cluster_name() - num_of_gpu_launch = 1 - test = Test( - 'SCP_huggingface_glue_imdb_app', - [ - f'sky launch -y -c {name} {SCP_TYPE} {SCP_GPU_V100}:{num_of_gpu_launch} examples/huggingface_glue_imdb_app.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky exec {name} {SCP_TYPE} {SCP_GPU_V100}:{num_of_gpu_launch} examples/huggingface_glue_imdb_app.yaml', - f'sky logs {name} 2 --status', # Ensure the job succeeded. - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Inferentia. ---------- -@pytest.mark.aws -def test_inferentia(): - name = _get_cluster_name() - test = Test( - 'test_inferentia', - [ - f'sky launch -y -c {name} -t inf2.xlarge -- echo hi', - f'sky exec {name} --gpus Inferentia:1 echo hi', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky logs {name} 2 --status', # Ensure the job succeeded. - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- TPU. ---------- -@pytest.mark.gcp -@pytest.mark.tpu -def test_tpu(): - name = _get_cluster_name() - test = Test( - 'tpu_app', - [ - f'sky launch -y -c {name} examples/tpu/tpu_app.yaml', - f'sky logs {name} 1', # Ensure the job finished. - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky launch -y -c {name} examples/tpu/tpu_app.yaml | grep "TPU .* already exists"', # Ensure sky launch won't create another TPU. - ], - f'sky down -y {name}', - timeout=30 * 60, # can take >20 mins - ) - run_one_test(test) - - -# ---------- TPU VM. ---------- -@pytest.mark.gcp -@pytest.mark.tpu -def test_tpu_vm(): - name = _get_cluster_name() - test = Test( - 'tpu_vm_app', - [ - f'sky launch -y -c {name} examples/tpu/tpuvm_mnist.yaml', - f'sky logs {name} 1', # Ensure the job finished. - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky stop -y {name}', - f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep STOPPED', # Ensure the cluster is STOPPED. - # Use retry: guard against transient errors observed for - # just-stopped TPU VMs (#962). - f'sky start --retry-until-up -y {name}', - f'sky exec {name} examples/tpu/tpuvm_mnist.yaml', - f'sky logs {name} 2 --status', # Ensure the job succeeded. - f'sky stop -y {name}', - ], - f'sky down -y {name}', - timeout=30 * 60, # can take 30 mins - ) - run_one_test(test) - - -# ---------- TPU VM Pod. ---------- -@pytest.mark.gcp -@pytest.mark.tpu -def test_tpu_vm_pod(): - name = _get_cluster_name() - test = Test( - 'tpu_pod', - [ - f'sky launch -y -c {name} examples/tpu/tpuvm_mnist.yaml --gpus tpu-v2-32 --use-spot --zone europe-west4-a', - f'sky logs {name} 1', # Ensure the job finished. - f'sky logs {name} 1 --status', # Ensure the job succeeded. - ], - f'sky down -y {name}', - timeout=30 * 60, # can take 30 mins - ) - run_one_test(test) - - -# ---------- TPU Pod Slice on GKE. ---------- -@pytest.mark.kubernetes -def test_tpu_pod_slice_gke(): - name = _get_cluster_name() - test = Test( - 'tpu_pod_slice_gke', - [ - f'sky launch -y -c {name} examples/tpu/tpuvm_mnist.yaml --cloud kubernetes --gpus tpu-v5-lite-podslice', - f'sky logs {name} 1', # Ensure the job finished. - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky exec {name} "conda activate flax; python -c \'import jax; print(jax.devices()[0].platform);\' | grep tpu || exit 1;"', # Ensure TPU is reachable. - f'sky logs {name} 2 --status' - ], - f'sky down -y {name}', - timeout=30 * 60, # can take 30 mins - ) - run_one_test(test) - - -# ---------- Simple apps. ---------- -@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet -def test_multi_hostname(generic_cloud: str): - name = _get_cluster_name() - total_timeout_minutes = 25 if generic_cloud == 'azure' else 15 - test = Test( - 'multi_hostname', - [ - f'sky launch -y -c {name} --cloud {generic_cloud} examples/multi_hostname.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky logs {name} 1 | grep "My hostname:" | wc -l | grep 2', # Ensure there are 2 hosts. - f'sky exec {name} examples/multi_hostname.yaml', - f'sky logs {name} 2 --status', # Ensure the job succeeded. - ], - f'sky down -y {name}', - timeout=_get_timeout(generic_cloud, total_timeout_minutes * 60), - ) - run_one_test(test) - - -@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet -def test_multi_node_failure(generic_cloud: str): - name = _get_cluster_name() - test = Test( - 'multi_node_failure', - [ - # TODO(zhwu): we use multi-thread to run the commands in setup - # commands in parallel, which makes it impossible to fail fast - # when one of the nodes fails. We should fix this in the future. - # The --detach-setup version can fail fast, as the setup is - # submitted to the remote machine, which does not use multi-thread. - # Refer to the comment in `subprocess_utils.run_in_parallel`. - # f'sky launch -y -c {name} --cloud {generic_cloud} tests/test_yamls/failed_worker_setup.yaml && exit 1', # Ensure the job setup failed. - f'sky launch -y -c {name} --cloud {generic_cloud} --detach-setup tests/test_yamls/failed_worker_setup.yaml', - f'sky logs {name} 1 --status | grep FAILED_SETUP', # Ensure the job setup failed. - f'sky exec {name} tests/test_yamls/failed_worker_run.yaml', - f'sky logs {name} 2 --status | grep FAILED', # Ensure the job failed. - f'sky logs {name} 2 | grep "My hostname:" | wc -l | grep 2', # Ensure there 2 of the hosts printed their hostname. - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Web apps with custom ports on GCP. ---------- -@pytest.mark.gcp -def test_gcp_http_server_with_custom_ports(): - name = _get_cluster_name() - test = Test( - 'gcp_http_server_with_custom_ports', - [ - f'sky launch -y -d -c {name} --cloud gcp examples/http_server_with_custom_ports/task.yaml', - f'until SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}; do sleep 10; done', - # Retry a few times to avoid flakiness in ports being open. - f'ip=$(SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}); success=false; for i in $(seq 1 5); do if curl $ip | grep "

          This is a demo HTML page.

          "; then success=true; break; fi; sleep 10; done; if [ "$success" = false ]; then exit 1; fi', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Web apps with custom ports on AWS. ---------- -@pytest.mark.aws -def test_aws_http_server_with_custom_ports(): - name = _get_cluster_name() - test = Test( - 'aws_http_server_with_custom_ports', - [ - f'sky launch -y -d -c {name} --cloud aws examples/http_server_with_custom_ports/task.yaml', - f'until SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}; do sleep 10; done', - # Retry a few times to avoid flakiness in ports being open. - f'ip=$(SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}); success=false; for i in $(seq 1 5); do if curl $ip | grep "

          This is a demo HTML page.

          "; then success=true; break; fi; sleep 10; done; if [ "$success" = false ]; then exit 1; fi' - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Web apps with custom ports on Azure. ---------- -@pytest.mark.azure -def test_azure_http_server_with_custom_ports(): - name = _get_cluster_name() - test = Test( - 'azure_http_server_with_custom_ports', - [ - f'sky launch -y -d -c {name} --cloud azure examples/http_server_with_custom_ports/task.yaml', - f'until SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}; do sleep 10; done', - # Retry a few times to avoid flakiness in ports being open. - f'ip=$(SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}); success=false; for i in $(seq 1 5); do if curl $ip | grep "

          This is a demo HTML page.

          "; then success=true; break; fi; sleep 10; done; if [ "$success" = false ]; then exit 1; fi' - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Web apps with custom ports on Kubernetes. ---------- -@pytest.mark.kubernetes -def test_kubernetes_http_server_with_custom_ports(): - name = _get_cluster_name() - test = Test( - 'kubernetes_http_server_with_custom_ports', - [ - f'sky launch -y -d -c {name} --cloud kubernetes examples/http_server_with_custom_ports/task.yaml', - f'until SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}; do sleep 10; done', - # Retry a few times to avoid flakiness in ports being open. - f'ip=$(SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}); success=false; for i in $(seq 1 100); do if curl $ip | grep "

          This is a demo HTML page.

          "; then success=true; break; fi; sleep 5; done; if [ "$success" = false ]; then exit 1; fi' - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Web apps with custom ports on Paperspace. ---------- -@pytest.mark.paperspace -def test_paperspace_http_server_with_custom_ports(): - name = _get_cluster_name() - test = Test( - 'paperspace_http_server_with_custom_ports', - [ - f'sky launch -y -d -c {name} --cloud paperspace examples/http_server_with_custom_ports/task.yaml', - f'until SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}; do sleep 10; done', - # Retry a few times to avoid flakiness in ports being open. - f'ip=$(SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}); success=false; for i in $(seq 1 5); do if curl $ip | grep "

          This is a demo HTML page.

          "; then success=true; break; fi; sleep 10; done; if [ "$success" = false ]; then exit 1; fi', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Web apps with custom ports on RunPod. ---------- -@pytest.mark.runpod -def test_runpod_http_server_with_custom_ports(): - name = _get_cluster_name() - test = Test( - 'runpod_http_server_with_custom_ports', - [ - f'sky launch -y -d -c {name} --cloud runpod examples/http_server_with_custom_ports/task.yaml', - f'until SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}; do sleep 10; done', - # Retry a few times to avoid flakiness in ports being open. - f'ip=$(SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}); success=false; for i in $(seq 1 5); do if curl $ip | grep "

          This is a demo HTML page.

          "; then success=true; break; fi; sleep 10; done; if [ "$success" = false ]; then exit 1; fi', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Labels from task on AWS (instance_tags) ---------- -@pytest.mark.aws -def test_task_labels_aws(): - name = _get_cluster_name() - template_str = pathlib.Path( - 'tests/test_yamls/test_labels.yaml.j2').read_text() - template = jinja2.Template(template_str) - content = template.render(cloud='aws', region='us-east-1') - with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: - f.write(content) - f.flush() - file_path = f.name - test = Test( - 'task_labels_aws', - [ - f'sky launch -y -c {name} {file_path}', - # Verify with aws cli that the tags are set. - 'aws ec2 describe-instances ' - '--query "Reservations[*].Instances[*].InstanceId" ' - '--filters "Name=instance-state-name,Values=running" ' - f'--filters "Name=tag:skypilot-cluster-name,Values={name}*" ' - '--filters "Name=tag:inlinelabel1,Values=inlinevalue1" ' - '--filters "Name=tag:inlinelabel2,Values=inlinevalue2" ' - '--region us-east-1 --output text', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Labels from task on GCP (labels) ---------- -@pytest.mark.gcp -def test_task_labels_gcp(): - name = _get_cluster_name() - template_str = pathlib.Path( - 'tests/test_yamls/test_labels.yaml.j2').read_text() - template = jinja2.Template(template_str) - content = template.render(cloud='gcp') - with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: - f.write(content) - f.flush() - file_path = f.name - test = Test( - 'task_labels_gcp', - [ - f'sky launch -y -c {name} {file_path}', - # Verify with gcloud cli that the tags are set - f'gcloud compute instances list --filter="name~\'^{name}\' AND ' - 'labels.inlinelabel1=\'inlinevalue1\' AND ' - 'labels.inlinelabel2=\'inlinevalue2\'" ' - '--format="value(name)" | grep .', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Labels from task on Kubernetes (labels) ---------- -@pytest.mark.kubernetes -def test_task_labels_kubernetes(): - name = _get_cluster_name() - template_str = pathlib.Path( - 'tests/test_yamls/test_labels.yaml.j2').read_text() - template = jinja2.Template(template_str) - content = template.render(cloud='kubernetes') - with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: - f.write(content) - f.flush() - file_path = f.name - test = Test( - 'task_labels_kubernetes', - [ - f'sky launch -y -c {name} {file_path}', - # Verify with kubectl that the labels are set. - 'kubectl get pods ' - '--selector inlinelabel1=inlinevalue1 ' - '--selector inlinelabel2=inlinevalue2 ' - '-o jsonpath=\'{.items[*].metadata.name}\' | ' - f'grep \'^{name}\'' - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Pod Annotations on Kubernetes ---------- -@pytest.mark.kubernetes -def test_add_pod_annotations_for_autodown_with_launch(): - name = _get_cluster_name() - test = Test( - 'add_pod_annotations_for_autodown_with_launch', - [ - # Launch Kubernetes cluster with two nodes, each being head node and worker node. - # Autodown is set. - f'sky launch -y -c {name} -i 10 --down --num-nodes 2 --cpus=1 --cloud kubernetes', - # Get names of the pods containing cluster name. - f'pod_1=$(kubectl get pods -o name | grep {name} | sed -n 1p)', - f'pod_2=$(kubectl get pods -o name | grep {name} | sed -n 2p)', - # Describe the first pod and check for annotations. - 'kubectl describe pod $pod_1 | grep -q skypilot.co/autodown', - 'kubectl describe pod $pod_1 | grep -q skypilot.co/idle_minutes_to_autostop', - # Describe the second pod and check for annotations. - 'kubectl describe pod $pod_2 | grep -q skypilot.co/autodown', - 'kubectl describe pod $pod_2 | grep -q skypilot.co/idle_minutes_to_autostop' - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.kubernetes -def test_add_and_remove_pod_annotations_with_autostop(): - name = _get_cluster_name() - test = Test( - 'add_and_remove_pod_annotations_with_autostop', - [ - # Launch Kubernetes cluster with two nodes, each being head node and worker node. - f'sky launch -y -c {name} --num-nodes 2 --cpus=1 --cloud kubernetes', - # Set autodown on the cluster with 'autostop' command. - f'sky autostop -y {name} -i 20 --down', - # Get names of the pods containing cluster name. - f'pod_1=$(kubectl get pods -o name | grep {name} | sed -n 1p)', - f'pod_2=$(kubectl get pods -o name | grep {name} | sed -n 2p)', - # Describe the first pod and check for annotations. - 'kubectl describe pod $pod_1 | grep -q skypilot.co/autodown', - 'kubectl describe pod $pod_1 | grep -q skypilot.co/idle_minutes_to_autostop', - # Describe the second pod and check for annotations. - 'kubectl describe pod $pod_2 | grep -q skypilot.co/autodown', - 'kubectl describe pod $pod_2 | grep -q skypilot.co/idle_minutes_to_autostop', - # Cancel the set autodown to remove the annotations from the pods. - f'sky autostop -y {name} --cancel', - # Describe the first pod and check if annotations are removed. - '! kubectl describe pod $pod_1 | grep -q skypilot.co/autodown', - '! kubectl describe pod $pod_1 | grep -q skypilot.co/idle_minutes_to_autostop', - # Describe the second pod and check if annotations are removed. - '! kubectl describe pod $pod_2 | grep -q skypilot.co/autodown', - '! kubectl describe pod $pod_2 | grep -q skypilot.co/idle_minutes_to_autostop', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Container logs from task on Kubernetes ---------- -@pytest.mark.kubernetes -def test_container_logs_multinode_kubernetes(): - name = _get_cluster_name() - task_yaml = 'tests/test_yamls/test_k8s_logs.yaml' - head_logs = ('kubectl get pods ' - f' | grep {name} | grep head | ' - " awk '{print $1}' | xargs -I {} kubectl logs {}") - worker_logs = ('kubectl get pods ' - f' | grep {name} | grep worker |' - " awk '{print $1}' | xargs -I {} kubectl logs {}") - with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: - test = Test( - 'container_logs_multinode_kubernetes', - [ - f'sky launch -y -c {name} {task_yaml} --num-nodes 2', - f'{head_logs} | wc -l | grep 9', - f'{worker_logs} | wc -l | grep 9', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.kubernetes -def test_container_logs_two_jobs_kubernetes(): - name = _get_cluster_name() - task_yaml = 'tests/test_yamls/test_k8s_logs.yaml' - pod_logs = ('kubectl get pods ' - f' | grep {name} | grep head |' - " awk '{print $1}' | xargs -I {} kubectl logs {}") - with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: - test = Test( - 'test_container_logs_two_jobs_kubernetes', - [ - f'sky launch -y -c {name} {task_yaml}', - f'{pod_logs} | wc -l | grep 9', - f'sky launch -y -c {name} {task_yaml}', - f'{pod_logs} | wc -l | grep 18', - f'{pod_logs} | grep 1 | wc -l | grep 2', - f'{pod_logs} | grep 2 | wc -l | grep 2', - f'{pod_logs} | grep 3 | wc -l | grep 2', - f'{pod_logs} | grep 4 | wc -l | grep 2', - f'{pod_logs} | grep 5 | wc -l | grep 2', - f'{pod_logs} | grep 6 | wc -l | grep 2', - f'{pod_logs} | grep 7 | wc -l | grep 2', - f'{pod_logs} | grep 8 | wc -l | grep 2', - f'{pod_logs} | grep 9 | wc -l | grep 2', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.kubernetes -def test_container_logs_two_simultaneous_jobs_kubernetes(): - name = _get_cluster_name() - task_yaml = 'tests/test_yamls/test_k8s_logs.yaml ' - pod_logs = ('kubectl get pods ' - f' | grep {name} | grep head |' - " awk '{print $1}' | xargs -I {} kubectl logs {}") - with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: - test = Test( - 'test_container_logs_two_simultaneous_jobs_kubernetes', - [ - f'sky launch -y -c {name}', - f'sky exec -c {name} -d {task_yaml}', - f'sky exec -c {name} -d {task_yaml}', - 'sleep 30', - f'{pod_logs} | wc -l | grep 18', - f'{pod_logs} | grep 1 | wc -l | grep 2', - f'{pod_logs} | grep 2 | wc -l | grep 2', - f'{pod_logs} | grep 3 | wc -l | grep 2', - f'{pod_logs} | grep 4 | wc -l | grep 2', - f'{pod_logs} | grep 5 | wc -l | grep 2', - f'{pod_logs} | grep 6 | wc -l | grep 2', - f'{pod_logs} | grep 7 | wc -l | grep 2', - f'{pod_logs} | grep 8 | wc -l | grep 2', - f'{pod_logs} | grep 9 | wc -l | grep 2', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Task: n=2 nodes with setups. ---------- -@pytest.mark.no_lambda_cloud # Lambda Cloud does not have V100 gpus -@pytest.mark.no_ibm # IBM cloud currently doesn't provide public image with CUDA -@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet -@pytest.mark.skip( - reason= - 'The resnet_distributed_tf_app is flaky, due to it failing to detect GPUs.') -def test_distributed_tf(generic_cloud: str): - name = _get_cluster_name() - test = Test( - 'resnet_distributed_tf_app', - [ - # NOTE: running it twice will hang (sometimes?) - an app-level bug. - f'python examples/resnet_distributed_tf_app.py {name} {generic_cloud}', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - ], - f'sky down -y {name}', - timeout=25 * 60, # 25 mins (it takes around ~19 mins) - ) - run_one_test(test) - - -# ---------- Testing GCP start and stop instances ---------- -@pytest.mark.gcp -def test_gcp_start_stop(): - name = _get_cluster_name() - test = Test( - 'gcp-start-stop', - [ - f'sky launch -y -c {name} examples/gcp_start_stop.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky exec {name} examples/gcp_start_stop.yaml', - f'sky logs {name} 2 --status', # Ensure the job succeeded. - f'sky exec {name} "prlimit -n --pid=\$(pgrep -f \'raylet/raylet --raylet_socket_name\') | grep \'"\'1048576 1048576\'"\'"', # Ensure the raylet process has the correct file descriptor limit. - f'sky logs {name} 3 --status', # Ensure the job succeeded. - f'sky stop -y {name}', - _get_cmd_wait_until_cluster_status_contains( - cluster_name=name, - cluster_status=[sky.ClusterStatus.STOPPED], - timeout=40), - f'sky start -y {name} -i 1', - f'sky exec {name} examples/gcp_start_stop.yaml', - f'sky logs {name} 4 --status', # Ensure the job succeeded. - _get_cmd_wait_until_cluster_status_contains( - cluster_name=name, - cluster_status=[ - sky.ClusterStatus.STOPPED, sky.ClusterStatus.INIT - ], - timeout=200), - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Testing Azure start and stop instances ---------- -@pytest.mark.azure -def test_azure_start_stop(): - name = _get_cluster_name() - test = Test( - 'azure-start-stop', - [ - f'sky launch -y -c {name} examples/azure_start_stop.yaml', - f'sky exec {name} examples/azure_start_stop.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky exec {name} "prlimit -n --pid=\$(pgrep -f \'raylet/raylet --raylet_socket_name\') | grep \'"\'1048576 1048576\'"\'"', # Ensure the raylet process has the correct file descriptor limit. - f'sky logs {name} 2 --status', # Ensure the job succeeded. - f'sky stop -y {name}', - f'sky start -y {name} -i 1', - f'sky exec {name} examples/azure_start_stop.yaml', - f'sky logs {name} 3 --status', # Ensure the job succeeded. - _get_cmd_wait_until_cluster_status_contains( - cluster_name=name, - cluster_status=[ - sky.ClusterStatus.STOPPED, sky.ClusterStatus.INIT - ], - timeout=280) + - f'|| {{ ssh {name} "cat ~/.sky/skylet.log"; exit 1; }}', - ], - f'sky down -y {name}', - timeout=30 * 60, # 30 mins - ) - run_one_test(test) - - -# ---------- Testing Autostopping ---------- -@pytest.mark.no_fluidstack # FluidStack does not support stopping in SkyPilot implementation -@pytest.mark.no_lambda_cloud # Lambda Cloud does not support stopping instances -@pytest.mark.no_ibm # FIX(IBM) sporadically fails, as restarted workers stay uninitialized indefinitely -@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet -@pytest.mark.no_kubernetes # Kubernetes does not autostop yet -def test_autostop(generic_cloud: str): - name = _get_cluster_name() - # Azure takes ~ 7m15s (435s) to autostop a VM, so here we use 600 to ensure - # the VM is stopped. - autostop_timeout = 600 if generic_cloud == 'azure' else 250 - # Launching and starting Azure clusters can take a long time too. e.g., restart - # a stopped Azure cluster can take 7m. So we set the total timeout to 70m. - total_timeout_minutes = 70 if generic_cloud == 'azure' else 20 - test = Test( - 'autostop', - [ - f'sky launch -y -d -c {name} --num-nodes 2 --cloud {generic_cloud} tests/test_yamls/minimal.yaml', - f'sky autostop -y {name} -i 1', - - # Ensure autostop is set. - f'sky status | grep {name} | grep "1m"', - - # Ensure the cluster is not stopped early. - 'sleep 40', - f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep UP', - - # Ensure the cluster is STOPPED. - _get_cmd_wait_until_cluster_status_contains( - cluster_name=name, - cluster_status=[sky.ClusterStatus.STOPPED], - timeout=autostop_timeout), - - # Ensure the cluster is UP and the autostop setting is reset ('-'). - f'sky start -y {name}', - f'sky status | grep {name} | grep -E "UP\s+-"', - - # Ensure the job succeeded. - f'sky exec {name} tests/test_yamls/minimal.yaml', - f'sky logs {name} 2 --status', - - # Test restarting the idleness timer via reset: - f'sky autostop -y {name} -i 1', # Idleness starts counting. - 'sleep 40', # Almost reached the threshold. - f'sky autostop -y {name} -i 1', # Should restart the timer. - 'sleep 40', - f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep UP', - _get_cmd_wait_until_cluster_status_contains( - cluster_name=name, - cluster_status=[sky.ClusterStatus.STOPPED], - timeout=autostop_timeout), - - # Test restarting the idleness timer via exec: - f'sky start -y {name}', - f'sky status | grep {name} | grep -E "UP\s+-"', - f'sky autostop -y {name} -i 1', # Idleness starts counting. - 'sleep 45', # Almost reached the threshold. - f'sky exec {name} echo hi', # Should restart the timer. - 'sleep 45', - _get_cmd_wait_until_cluster_status_contains( - cluster_name=name, - cluster_status=[sky.ClusterStatus.STOPPED], - timeout=autostop_timeout + _BUMP_UP_SECONDS), - ], - f'sky down -y {name}', - timeout=total_timeout_minutes * 60, - ) - run_one_test(test) - - -# ---------- Testing Autodowning ---------- -@pytest.mark.no_fluidstack # FluidStack does not support stopping in SkyPilot implementation -@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet. Run test_scp_autodown instead. -def test_autodown(generic_cloud: str): - name = _get_cluster_name() - # Azure takes ~ 13m30s (810s) to autodown a VM, so here we use 900 to ensure - # the VM is terminated. - autodown_timeout = 900 if generic_cloud == 'azure' else 240 - total_timeout_minutes = 90 if generic_cloud == 'azure' else 20 - test = Test( - 'autodown', - [ - f'sky launch -y -d -c {name} --num-nodes 2 --cloud {generic_cloud} tests/test_yamls/minimal.yaml', - f'sky autostop -y {name} --down -i 1', - # Ensure autostop is set. - f'sky status | grep {name} | grep "1m (down)"', - # Ensure the cluster is not terminated early. - 'sleep 40', - f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep UP', - # Ensure the cluster is terminated. - f'sleep {autodown_timeout}', - f's=$(SKYPILOT_DEBUG=0 sky status {name} --refresh) && echo "$s" && {{ echo "$s" | grep {name} | grep "Autodowned cluster\|terminated on the cloud"; }} || {{ echo "$s" | grep {name} && exit 1 || exit 0; }}', - f'sky launch -y -d -c {name} --cloud {generic_cloud} --num-nodes 2 --down tests/test_yamls/minimal.yaml', - f'sky status | grep {name} | grep UP', # Ensure the cluster is UP. - f'sky exec {name} --cloud {generic_cloud} tests/test_yamls/minimal.yaml', - f'sky status | grep {name} | grep "1m (down)"', - f'sleep {autodown_timeout}', - # Ensure the cluster is terminated. - f's=$(SKYPILOT_DEBUG=0 sky status {name} --refresh) && echo "$s" && {{ echo "$s" | grep {name} | grep "Autodowned cluster\|terminated on the cloud"; }} || {{ echo "$s" | grep {name} && exit 1 || exit 0; }}', - f'sky launch -y -d -c {name} --cloud {generic_cloud} --num-nodes 2 --down tests/test_yamls/minimal.yaml', - f'sky autostop -y {name} --cancel', - f'sleep {autodown_timeout}', - # Ensure the cluster is still UP. - f's=$(SKYPILOT_DEBUG=0 sky status {name} --refresh) && echo "$s" && echo "$s" | grep {name} | grep UP', - ], - f'sky down -y {name}', - timeout=total_timeout_minutes * 60, - ) - run_one_test(test) - - -@pytest.mark.scp -def test_scp_autodown(): - name = _get_cluster_name() - test = Test( - 'SCP_autodown', - [ - f'sky launch -y -d -c {name} {SCP_TYPE} tests/test_yamls/minimal.yaml', - f'sky autostop -y {name} --down -i 1', - # Ensure autostop is set. - f'sky status | grep {name} | grep "1m (down)"', - # Ensure the cluster is not terminated early. - 'sleep 45', - f'sky status --refresh | grep {name} | grep UP', - # Ensure the cluster is terminated. - 'sleep 200', - f's=$(SKYPILOT_DEBUG=0 sky status --refresh) && printf "$s" && {{ echo "$s" | grep {name} | grep "Autodowned cluster\|terminated on the cloud"; }} || {{ echo "$s" | grep {name} && exit 1 || exit 0; }}', - f'sky launch -y -d -c {name} {SCP_TYPE} --down tests/test_yamls/minimal.yaml', - f'sky status | grep {name} | grep UP', # Ensure the cluster is UP. - f'sky exec {name} {SCP_TYPE} tests/test_yamls/minimal.yaml', - f'sky status | grep {name} | grep "1m (down)"', - 'sleep 200', - # Ensure the cluster is terminated. - f's=$(SKYPILOT_DEBUG=0 sky status --refresh) && printf "$s" && {{ echo "$s" | grep {name} | grep "Autodowned cluster\|terminated on the cloud"; }} || {{ echo "$s" | grep {name} && exit 1 || exit 0; }}', - f'sky launch -y -d -c {name} {SCP_TYPE} --down tests/test_yamls/minimal.yaml', - f'sky autostop -y {name} --cancel', - 'sleep 200', - # Ensure the cluster is still UP. - f's=$(SKYPILOT_DEBUG=0 sky status --refresh) && printf "$s" && echo "$s" | grep {name} | grep UP', - ], - f'sky down -y {name}', - timeout=25 * 60, - ) - run_one_test(test) - - -def _get_cancel_task_with_cloud(name, cloud, timeout=15 * 60): - test = Test( - f'{cloud}-cancel-task', - [ - f'sky launch -c {name} examples/resnet_app.yaml --cloud {cloud} -y -d', - # Wait the GPU process to start. - 'sleep 60', - f'sky exec {name} "nvidia-smi | grep python"', - f'sky logs {name} 2 --status', # Ensure the job succeeded. - f'sky cancel -y {name} 1', - 'sleep 60', - # check if the python job is gone. - f'sky exec {name} "! nvidia-smi | grep python"', - f'sky logs {name} 3 --status', # Ensure the job succeeded. - ], - f'sky down -y {name}', - timeout=timeout, - ) - return test - - -# ---------- Testing `sky cancel` ---------- -@pytest.mark.aws -def test_cancel_aws(): - name = _get_cluster_name() - test = _get_cancel_task_with_cloud(name, 'aws') - run_one_test(test) - - -@pytest.mark.gcp -def test_cancel_gcp(): - name = _get_cluster_name() - test = _get_cancel_task_with_cloud(name, 'gcp') - run_one_test(test) - - -@pytest.mark.azure -def test_cancel_azure(): - name = _get_cluster_name() - test = _get_cancel_task_with_cloud(name, 'azure', timeout=30 * 60) - run_one_test(test) - - -@pytest.mark.no_fluidstack # Fluidstack does not support V100 gpus for now -@pytest.mark.no_lambda_cloud # Lambda Cloud does not have V100 gpus -@pytest.mark.no_ibm # IBM cloud currently doesn't provide public image with CUDA -@pytest.mark.no_paperspace # Paperspace has `gnome-shell` on nvidia-smi -@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet -def test_cancel_pytorch(generic_cloud: str): - name = _get_cluster_name() - test = Test( - 'cancel-pytorch', - [ - f'sky launch -c {name} --cloud {generic_cloud} examples/resnet_distributed_torch.yaml -y -d', - # Wait the GPU process to start. - 'sleep 90', - f'sky exec {name} --num-nodes 2 "(nvidia-smi | grep python) || ' - # When run inside container/k8s, nvidia-smi cannot show process ids. - # See https://github.com/NVIDIA/nvidia-docker/issues/179 - # To work around, we check if GPU utilization is greater than 0. - f'[ \$(nvidia-smi --query-gpu=utilization.gpu --format=csv,noheader,nounits) -gt 0 ]"', - f'sky logs {name} 2 --status', # Ensure the job succeeded. - f'sky cancel -y {name} 1', - 'sleep 60', - f'sky exec {name} --num-nodes 2 "(nvidia-smi | grep \'No running process\') || ' - # Ensure Xorg is the only process running. - '[ \$(nvidia-smi | grep -A 10 Processes | grep -A 10 === | grep -v Xorg) -eq 2 ]"', - f'sky logs {name} 3 --status', # Ensure the job succeeded. - ], - f'sky down -y {name}', - timeout=20 * 60, - ) - run_one_test(test) - - -# can't use `_get_cancel_task_with_cloud()`, as command `nvidia-smi` -# requires a CUDA public image, which IBM doesn't offer -@pytest.mark.ibm -def test_cancel_ibm(): - name = _get_cluster_name() - test = Test( - 'ibm-cancel-task', - [ - f'sky launch -y -c {name} --cloud ibm examples/minimal.yaml', - f'sky exec {name} -n {name}-1 -d "while true; do echo \'Hello SkyPilot\'; sleep 2; done"', - 'sleep 20', - f'sky queue {name} | grep {name}-1 | grep RUNNING', - f'sky cancel -y {name} 2', - f'sleep 5', - f'sky queue {name} | grep {name}-1 | grep CANCELLED', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Testing use-spot option ---------- -@pytest.mark.no_fluidstack # FluidStack does not support spot instances -@pytest.mark.no_lambda_cloud # Lambda Cloud does not support spot instances -@pytest.mark.no_paperspace # Paperspace does not support spot instances -@pytest.mark.no_ibm # IBM Cloud does not support spot instances -@pytest.mark.no_scp # SCP does not support spot instances -@pytest.mark.no_kubernetes # Kubernetes does not have a notion of spot instances -def test_use_spot(generic_cloud: str): - """Test use-spot and sky exec.""" - name = _get_cluster_name() - test = Test( - 'use-spot', - [ - f'sky launch -c {name} --cloud {generic_cloud} tests/test_yamls/minimal.yaml --use-spot -y', - f'sky logs {name} 1 --status', - f'sky exec {name} echo hi', - f'sky logs {name} 2 --status', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.gcp -def test_stop_gcp_spot(): - """Test GCP spot can be stopped, autostopped, restarted.""" - name = _get_cluster_name() - test = Test( - 'stop_gcp_spot', - [ - f'sky launch -c {name} --cloud gcp --use-spot --cpus 2+ -y -- touch myfile', - # stop should go through: - f'sky stop {name} -y', - f'sky start {name} -y', - f'sky exec {name} -- ls myfile', - f'sky logs {name} 2 --status', - f'sky autostop {name} -i0 -y', - _get_cmd_wait_until_cluster_status_contains( - cluster_name=name, - cluster_status=[sky.ClusterStatus.STOPPED], - timeout=90), - f'sky start {name} -y', - f'sky exec {name} -- ls myfile', - f'sky logs {name} 3 --status', - # -i option at launch should go through: - f'sky launch -c {name} -i0 -y', - _get_cmd_wait_until_cluster_status_contains( - cluster_name=name, - cluster_status=[sky.ClusterStatus.STOPPED], - timeout=120), - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Testing managed job ---------- -# TODO(zhwu): make the jobs controller on GCP, to avoid parallel test issues -# when the controller being on Azure, which takes a long time for launching -# step. -@pytest.mark.managed_jobs -def test_managed_jobs(generic_cloud: str): - """Test the managed jobs yaml.""" - name = _get_cluster_name() - test = Test( - 'managed-jobs', - [ - f'sky jobs launch -n {name}-1 --cloud {generic_cloud} examples/managed_job.yaml -y -d', - f'sky jobs launch -n {name}-2 --cloud {generic_cloud} examples/managed_job.yaml -y -d', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=f'{name}-1', - job_status=[ - sky.ManagedJobStatus.PENDING, - sky.ManagedJobStatus.SUBMITTED, - sky.ManagedJobStatus.STARTING, sky.ManagedJobStatus.RUNNING - ], - timeout=60), - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=f'{name}-2', - job_status=[ - sky.ManagedJobStatus.PENDING, - sky.ManagedJobStatus.SUBMITTED, - sky.ManagedJobStatus.STARTING, sky.ManagedJobStatus.RUNNING - ], - timeout=60), - f'sky jobs cancel -y -n {name}-1', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=f'{name}-1', - job_status=[sky.ManagedJobStatus.CANCELLED], - timeout=230), - # Test the functionality for logging. - f's=$(sky jobs logs -n {name}-2 --no-follow); echo "$s"; echo "$s" | grep "start counting"', - f's=$(sky jobs logs --controller -n {name}-2 --no-follow); echo "$s"; echo "$s" | grep "Cluster launched:"', - f'{_GET_JOB_QUEUE} | grep {name}-2 | head -n1 | grep "RUNNING\|SUCCEEDED"', - ], - # TODO(zhwu): Change to f'sky jobs cancel -y -n {name}-1 -n {name}-2' when - # canceling multiple job names is supported. - f'sky jobs cancel -y -n {name}-1; sky jobs cancel -y -n {name}-2', - # Increase timeout since sky jobs queue -r can be blocked by other spot tests. - timeout=20 * 60, - ) - run_one_test(test) - - -@pytest.mark.no_fluidstack #fluidstack does not support spot instances -@pytest.mark.no_lambda_cloud # Lambda Cloud does not support spot instances -@pytest.mark.no_ibm # IBM Cloud does not support spot instances -@pytest.mark.no_scp # SCP does not support spot instances -@pytest.mark.no_paperspace # Paperspace does not support spot instances -@pytest.mark.no_kubernetes # Kubernetes does not have a notion of spot instances -@pytest.mark.managed_jobs -def test_job_pipeline(generic_cloud: str): - """Test a job pipeline.""" - name = _get_cluster_name() - test = Test( - 'spot-pipeline', - [ - f'sky jobs launch -n {name} tests/test_yamls/pipeline.yaml -y -d', - 'sleep 5', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "STARTING\|RUNNING"', - # `grep -A 4 {name}` finds the job with {name} and the 4 lines - # after it, i.e. the 4 tasks within the job. - # `sed -n 2p` gets the second line of the 4 lines, i.e. the first - # task within the job. - f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 2p | grep "STARTING\|RUNNING"', - f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 3p | grep "PENDING"', - f'sky jobs cancel -y -n {name}', - 'sleep 5', - f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 2p | grep "CANCELLING\|CANCELLED"', - f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 3p | grep "CANCELLING\|CANCELLED"', - f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 4p | grep "CANCELLING\|CANCELLED"', - f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 5p | grep "CANCELLING\|CANCELLED"', - 'sleep 200', - f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 2p | grep "CANCELLED"', - f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 3p | grep "CANCELLED"', - f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 4p | grep "CANCELLED"', - f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 5p | grep "CANCELLED"', - ], - f'sky jobs cancel -y -n {name}', - # Increase timeout since sky jobs queue -r can be blocked by other spot tests. - timeout=30 * 60, - ) - run_one_test(test) - - -@pytest.mark.no_fluidstack #fluidstack does not support spot instances -@pytest.mark.no_lambda_cloud # Lambda Cloud does not support spot instances -@pytest.mark.no_ibm # IBM Cloud does not support spot instances -@pytest.mark.no_scp # SCP does not support spot instances -@pytest.mark.no_paperspace # Paperspace does not support spot instances -@pytest.mark.no_kubernetes # Kubernetes does not have a notion of spot instances -@pytest.mark.managed_jobs -def test_managed_jobs_failed_setup(generic_cloud: str): - """Test managed job with failed setup.""" - name = _get_cluster_name() - test = Test( - 'managed_jobs_failed_setup', - [ - f'sky jobs launch -n {name} --cloud {generic_cloud} -y -d tests/test_yamls/failed_setup.yaml', - # Make sure the job failed quickly. - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.FAILED_SETUP], - timeout=330 + _BUMP_UP_SECONDS), - ], - f'sky jobs cancel -y -n {name}', - # Increase timeout since sky jobs queue -r can be blocked by other spot tests. - timeout=20 * 60, - ) - run_one_test(test) - - -@pytest.mark.no_fluidstack #fluidstack does not support spot instances -@pytest.mark.no_lambda_cloud # Lambda Cloud does not support spot instances -@pytest.mark.no_ibm # IBM Cloud does not support spot instances -@pytest.mark.no_scp # SCP does not support spot instances -@pytest.mark.no_paperspace # Paperspace does not support spot instances -@pytest.mark.no_kubernetes # Kubernetes does not have a notion of spot instances -@pytest.mark.managed_jobs -def test_managed_jobs_pipeline_failed_setup(generic_cloud: str): - """Test managed job with failed setup for a pipeline.""" - name = _get_cluster_name() - test = Test( - 'managed_jobs_pipeline_failed_setup', - [ - f'sky jobs launch -n {name} -y -d tests/test_yamls/failed_setup_pipeline.yaml', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.FAILED_SETUP], - timeout=600), - # Make sure the job failed quickly. - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "FAILED_SETUP"', - # Task 0 should be SUCCEEDED. - f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 2p | grep "SUCCEEDED"', - # Task 1 should be FAILED_SETUP. - f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 3p | grep "FAILED_SETUP"', - # Task 2 should be CANCELLED. - f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 4p | grep "CANCELLED"', - # Task 3 should be CANCELLED. - f'{_GET_JOB_QUEUE} | grep -A 4 {name}| sed -n 5p | grep "CANCELLED"', - ], - f'sky jobs cancel -y -n {name}', - # Increase timeout since sky jobs queue -r can be blocked by other spot tests. - timeout=30 * 60, - ) - run_one_test(test) - - -# ---------- Testing managed job recovery ---------- - - -@pytest.mark.aws -@pytest.mark.managed_jobs -def test_managed_jobs_recovery_aws(aws_config_region): - """Test managed job recovery.""" - name = _get_cluster_name() - name_on_cloud = common_utils.make_cluster_name_on_cloud( - name, jobs.JOBS_CLUSTER_NAME_PREFIX_LENGTH, add_user_hash=False) - region = aws_config_region - test = Test( - 'managed_jobs_recovery_aws', - [ - f'sky jobs launch --cloud aws --region {region} --use-spot -n {name} "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.RUNNING], - timeout=600), - f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', - # Terminate the cluster manually. - (f'aws ec2 terminate-instances --region {region} --instance-ids $(' - f'aws ec2 describe-instances --region {region} ' - f'--filters Name=tag:ray-cluster-name,Values={name_on_cloud}* ' - f'--query Reservations[].Instances[].InstanceId ' - '--output text)'), - _JOB_WAIT_NOT_RUNNING.format(job_name=name), - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.RUNNING], - timeout=200), - f'RUN_ID=$(cat /tmp/{name}-run-id); echo "$RUN_ID"; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | grep "$RUN_ID"', - ], - f'sky jobs cancel -y -n {name}', - timeout=25 * 60, - ) - run_one_test(test) - - -@pytest.mark.gcp -@pytest.mark.managed_jobs -def test_managed_jobs_recovery_gcp(): - """Test managed job recovery.""" - name = _get_cluster_name() - name_on_cloud = common_utils.make_cluster_name_on_cloud( - name, jobs.JOBS_CLUSTER_NAME_PREFIX_LENGTH, add_user_hash=False) - zone = 'us-east4-b' - query_cmd = ( - f'gcloud compute instances list --filter=' - # `:` means prefix match. - f'"(labels.ray-cluster-name:{name_on_cloud})" ' - f'--zones={zone} --format="value(name)"') - terminate_cmd = (f'gcloud compute instances delete --zone={zone}' - f' --quiet $({query_cmd})') - test = Test( - 'managed_jobs_recovery_gcp', - [ - f'sky jobs launch --cloud gcp --zone {zone} -n {name} --use-spot --cpus 2 "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.RUNNING], - timeout=300), - f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', - # Terminate the cluster manually. - terminate_cmd, - _JOB_WAIT_NOT_RUNNING.format(job_name=name), - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.RUNNING], - timeout=200), - f'RUN_ID=$(cat /tmp/{name}-run-id); echo "$RUN_ID"; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | grep "$RUN_ID"', - ], - f'sky jobs cancel -y -n {name}', - timeout=25 * 60, - ) - run_one_test(test) - - -@pytest.mark.aws -@pytest.mark.managed_jobs -def test_managed_jobs_pipeline_recovery_aws(aws_config_region): - """Test managed job recovery for a pipeline.""" - name = _get_cluster_name() - user_hash = common_utils.get_user_hash() - user_hash = user_hash[:common_utils.USER_HASH_LENGTH_IN_CLUSTER_NAME] - region = aws_config_region - if region != 'us-east-2': - pytest.skip('Only run spot pipeline recovery test in us-east-2') - test = Test( - 'managed_jobs_pipeline_recovery_aws', - [ - f'sky jobs launch -n {name} tests/test_yamls/pipeline_aws.yaml -y -d', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.RUNNING], - timeout=400), - f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', - f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids', - # Terminate the cluster manually. - # The `cat ...| rev` is to retrieve the job_id from the - # SKYPILOT_TASK_ID, which gets the second to last field - # separated by `-`. - ( - f'MANAGED_JOB_ID=`cat /tmp/{name}-run-id | rev | ' - 'cut -d\'_\' -f1 | rev | cut -d\'-\' -f1`;' - f'aws ec2 terminate-instances --region {region} --instance-ids $(' - f'aws ec2 describe-instances --region {region} ' - # TODO(zhwu): fix the name for spot cluster. - '--filters Name=tag:ray-cluster-name,Values=*-${MANAGED_JOB_ID}' - f'-{user_hash} ' - f'--query Reservations[].Instances[].InstanceId ' - '--output text)'), - _JOB_WAIT_NOT_RUNNING.format(job_name=name), - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.RUNNING], - timeout=200), - f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | grep "$RUN_ID"', - f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids-new', - f'diff /tmp/{name}-run-ids /tmp/{name}-run-ids-new', - f'cat /tmp/{name}-run-ids | sed -n 2p | grep `cat /tmp/{name}-run-id`', - ], - f'sky jobs cancel -y -n {name}', - timeout=25 * 60, - ) - run_one_test(test) - - -@pytest.mark.gcp -@pytest.mark.managed_jobs -def test_managed_jobs_pipeline_recovery_gcp(): - """Test managed job recovery for a pipeline.""" - name = _get_cluster_name() - zone = 'us-east4-b' - user_hash = common_utils.get_user_hash() - user_hash = user_hash[:common_utils.USER_HASH_LENGTH_IN_CLUSTER_NAME] - query_cmd = ( - 'gcloud compute instances list --filter=' - f'"(labels.ray-cluster-name:*-${{MANAGED_JOB_ID}}-{user_hash})" ' - f'--zones={zone} --format="value(name)"') - terminate_cmd = (f'gcloud compute instances delete --zone={zone}' - f' --quiet $({query_cmd})') - test = Test( - 'managed_jobs_pipeline_recovery_gcp', - [ - f'sky jobs launch -n {name} tests/test_yamls/pipeline_gcp.yaml -y -d', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.RUNNING], - timeout=400), - f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', - f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids', - # Terminate the cluster manually. - # The `cat ...| rev` is to retrieve the job_id from the - # SKYPILOT_TASK_ID, which gets the second to last field - # separated by `-`. - (f'MANAGED_JOB_ID=`cat /tmp/{name}-run-id | rev | ' - f'cut -d\'_\' -f1 | rev | cut -d\'-\' -f1`; {terminate_cmd}'), - _JOB_WAIT_NOT_RUNNING.format(job_name=name), - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.RUNNING], - timeout=200), - f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | grep "$RUN_ID"', - f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids-new', - f'diff /tmp/{name}-run-ids /tmp/{name}-run-ids-new', - f'cat /tmp/{name}-run-ids | sed -n 2p | grep `cat /tmp/{name}-run-id`', - ], - f'sky jobs cancel -y -n {name}', - timeout=25 * 60, - ) - run_one_test(test) - - -@pytest.mark.no_fluidstack # Fluidstack does not support spot instances -@pytest.mark.no_lambda_cloud # Lambda Cloud does not support spot instances -@pytest.mark.no_ibm # IBM Cloud does not support spot instances -@pytest.mark.no_scp # SCP does not support spot instances -@pytest.mark.no_paperspace # Paperspace does not support spot instances -@pytest.mark.no_kubernetes # Kubernetes does not have a notion of spot instances -@pytest.mark.managed_jobs -def test_managed_jobs_recovery_default_resources(generic_cloud: str): - """Test managed job recovery for default resources.""" - name = _get_cluster_name() - test = Test( - 'managed-spot-recovery-default-resources', - [ - f'sky jobs launch -n {name} --cloud {generic_cloud} --use-spot "sleep 30 && sudo shutdown now && sleep 1000" -y -d', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[ - sky.ManagedJobStatus.RUNNING, - sky.ManagedJobStatus.RECOVERING - ], - timeout=360), - ], - f'sky jobs cancel -y -n {name}', - timeout=25 * 60, - ) - run_one_test(test) - - -@pytest.mark.aws -@pytest.mark.managed_jobs -def test_managed_jobs_recovery_multi_node_aws(aws_config_region): - """Test managed job recovery.""" - name = _get_cluster_name() - name_on_cloud = common_utils.make_cluster_name_on_cloud( - name, jobs.JOBS_CLUSTER_NAME_PREFIX_LENGTH, add_user_hash=False) - region = aws_config_region - test = Test( - 'managed_jobs_recovery_multi_node_aws', - [ - f'sky jobs launch --cloud aws --region {region} -n {name} --use-spot --num-nodes 2 "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.RUNNING], - timeout=450), - f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', - # Terminate the worker manually. - (f'aws ec2 terminate-instances --region {region} --instance-ids $(' - f'aws ec2 describe-instances --region {region} ' - f'--filters Name=tag:ray-cluster-name,Values={name_on_cloud}* ' - 'Name=tag:ray-node-type,Values=worker ' - f'--query Reservations[].Instances[].InstanceId ' - '--output text)'), - _JOB_WAIT_NOT_RUNNING.format(job_name=name), - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.RUNNING], - timeout=560), - f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2 | grep "$RUN_ID"', - ], - f'sky jobs cancel -y -n {name}', - timeout=30 * 60, - ) - run_one_test(test) - - -@pytest.mark.gcp -@pytest.mark.managed_jobs -def test_managed_jobs_recovery_multi_node_gcp(): - """Test managed job recovery.""" - name = _get_cluster_name() - name_on_cloud = common_utils.make_cluster_name_on_cloud( - name, jobs.JOBS_CLUSTER_NAME_PREFIX_LENGTH, add_user_hash=False) - zone = 'us-west2-a' - # Use ':' to match as the cluster name will contain the suffix with job id - query_cmd = ( - f'gcloud compute instances list --filter=' - f'"(labels.ray-cluster-name:{name_on_cloud} AND ' - f'labels.ray-node-type=worker)" --zones={zone} --format="value(name)"') - terminate_cmd = (f'gcloud compute instances delete --zone={zone}' - f' --quiet $({query_cmd})') - test = Test( - 'managed_jobs_recovery_multi_node_gcp', - [ - f'sky jobs launch --cloud gcp --zone {zone} -n {name} --use-spot --num-nodes 2 "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.RUNNING], - timeout=400), - f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', - # Terminate the worker manually. - terminate_cmd, - _JOB_WAIT_NOT_RUNNING.format(job_name=name), - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.RUNNING], - timeout=560), - f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2 | grep "$RUN_ID"', - ], - f'sky jobs cancel -y -n {name}', - timeout=25 * 60, - ) - run_one_test(test) - - -@pytest.mark.aws -@pytest.mark.managed_jobs -def test_managed_jobs_cancellation_aws(aws_config_region): - name = _get_cluster_name() - name_on_cloud = common_utils.make_cluster_name_on_cloud( - name, jobs.JOBS_CLUSTER_NAME_PREFIX_LENGTH, add_user_hash=False) - name_2_on_cloud = common_utils.make_cluster_name_on_cloud( - f'{name}-2', jobs.JOBS_CLUSTER_NAME_PREFIX_LENGTH, add_user_hash=False) - name_3_on_cloud = common_utils.make_cluster_name_on_cloud( - f'{name}-3', jobs.JOBS_CLUSTER_NAME_PREFIX_LENGTH, add_user_hash=False) - region = aws_config_region - test = Test( - 'managed_jobs_cancellation_aws', - [ - # Test cancellation during spot cluster being launched. - f'sky jobs launch --cloud aws --region {region} -n {name} --use-spot "sleep 1000" -y -d', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[ - sky.ManagedJobStatus.STARTING, sky.ManagedJobStatus.RUNNING - ], - timeout=60 + _BUMP_UP_SECONDS), - f'sky jobs cancel -y -n {name}', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.CANCELLED], - timeout=120 + _BUMP_UP_SECONDS), - (f's=$(aws ec2 describe-instances --region {region} ' - f'--filters Name=tag:ray-cluster-name,Values={name_on_cloud}-* ' - f'--query Reservations[].Instances[].State[].Name ' - '--output text) && echo "$s" && echo; [[ -z "$s" ]] || [[ "$s" = "terminated" ]] || [[ "$s" = "shutting-down" ]]' - ), - # Test cancelling the spot cluster during spot job being setup. - f'sky jobs launch --cloud aws --region {region} -n {name}-2 --use-spot tests/test_yamls/test_long_setup.yaml -y -d', - # The job is set up in the cluster, will shown as RUNNING. - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=f'{name}-2', - job_status=[sky.ManagedJobStatus.RUNNING], - timeout=300 + _BUMP_UP_SECONDS), - f'sky jobs cancel -y -n {name}-2', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=f'{name}-2', - job_status=[sky.ManagedJobStatus.CANCELLED], - timeout=120 + _BUMP_UP_SECONDS), - (f's=$(aws ec2 describe-instances --region {region} ' - f'--filters Name=tag:ray-cluster-name,Values={name_2_on_cloud}-* ' - f'--query Reservations[].Instances[].State[].Name ' - '--output text) && echo "$s" && echo; [[ -z "$s" ]] || [[ "$s" = "terminated" ]] || [[ "$s" = "shutting-down" ]]' - ), - # Test cancellation during spot job is recovering. - f'sky jobs launch --cloud aws --region {region} -n {name}-3 --use-spot "sleep 1000" -y -d', - # The job is running in the cluster, will shown as RUNNING. - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=f'{name}-3', - job_status=[sky.ManagedJobStatus.RUNNING], - timeout=300 + _BUMP_UP_SECONDS), - # Terminate the cluster manually. - (f'aws ec2 terminate-instances --region {region} --instance-ids $(' - f'aws ec2 describe-instances --region {region} ' - f'--filters Name=tag:ray-cluster-name,Values={name_3_on_cloud}-* ' - f'--query Reservations[].Instances[].InstanceId ' - '--output text)'), - _JOB_WAIT_NOT_RUNNING.format(job_name=f'{name}-3'), - f'{_GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "RECOVERING"', - f'sky jobs cancel -y -n {name}-3', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=f'{name}-3', - job_status=[sky.ManagedJobStatus.CANCELLED], - timeout=120 + _BUMP_UP_SECONDS), - # The cluster should be terminated (shutting-down) after cancellation. We don't use the `=` operator here because - # there can be multiple VM with the same name due to the recovery. - (f's=$(aws ec2 describe-instances --region {region} ' - f'--filters Name=tag:ray-cluster-name,Values={name_3_on_cloud}-* ' - f'--query Reservations[].Instances[].State[].Name ' - '--output text) && echo "$s" && echo; [[ -z "$s" ]] || echo "$s" | grep -v -E "pending|running|stopped|stopping"' - ), - ], - timeout=25 * 60) - run_one_test(test) - - -@pytest.mark.gcp -@pytest.mark.managed_jobs -def test_managed_jobs_cancellation_gcp(): - name = _get_cluster_name() - name_3 = f'{name}-3' - name_3_on_cloud = common_utils.make_cluster_name_on_cloud( - name_3, jobs.JOBS_CLUSTER_NAME_PREFIX_LENGTH, add_user_hash=False) - zone = 'us-west3-b' - query_state_cmd = ( - 'gcloud compute instances list ' - f'--filter="(labels.ray-cluster-name:{name_3_on_cloud})" ' - '--format="value(status)"') - query_cmd = (f'gcloud compute instances list --filter=' - f'"(labels.ray-cluster-name:{name_3_on_cloud})" ' - f'--zones={zone} --format="value(name)"') - terminate_cmd = (f'gcloud compute instances delete --zone={zone}' - f' --quiet $({query_cmd})') - test = Test( - 'managed_jobs_cancellation_gcp', - [ - # Test cancellation during spot cluster being launched. - f'sky jobs launch --cloud gcp --zone {zone} -n {name} --use-spot "sleep 1000" -y -d', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.STARTING], - timeout=60 + _BUMP_UP_SECONDS), - f'sky jobs cancel -y -n {name}', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.CANCELLED], - timeout=120 + _BUMP_UP_SECONDS), - # Test cancelling the spot cluster during spot job being setup. - f'sky jobs launch --cloud gcp --zone {zone} -n {name}-2 --use-spot tests/test_yamls/test_long_setup.yaml -y -d', - # The job is set up in the cluster, will shown as RUNNING. - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=f'{name}-2', - job_status=[sky.ManagedJobStatus.RUNNING], - timeout=300 + _BUMP_UP_SECONDS), - f'sky jobs cancel -y -n {name}-2', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=f'{name}-2', - job_status=[sky.ManagedJobStatus.CANCELLED], - timeout=120 + _BUMP_UP_SECONDS), - # Test cancellation during spot job is recovering. - f'sky jobs launch --cloud gcp --zone {zone} -n {name}-3 --use-spot "sleep 1000" -y -d', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=f'{name}-3', - job_status=[sky.ManagedJobStatus.RUNNING], - timeout=300 + _BUMP_UP_SECONDS), - # Terminate the cluster manually. - terminate_cmd, - _JOB_WAIT_NOT_RUNNING.format(job_name=f'{name}-3'), - f'{_GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "RECOVERING"', - f'sky jobs cancel -y -n {name}-3', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=f'{name}-3', - job_status=[sky.ManagedJobStatus.CANCELLED], - timeout=120 + _BUMP_UP_SECONDS), - # The cluster should be terminated (STOPPING) after cancellation. We don't use the `=` operator here because - # there can be multiple VM with the same name due to the recovery. - (f's=$({query_state_cmd}) && echo "$s" && echo; [[ -z "$s" ]] || echo "$s" | grep -v -E "PROVISIONING|STAGING|RUNNING|REPAIRING|TERMINATED|SUSPENDING|SUSPENDED|SUSPENDED"' - ), - ], - timeout=25 * 60) - run_one_test(test) - - -# ---------- Testing storage for managed job ---------- -@pytest.mark.no_fluidstack # Fluidstack does not support spot instances -@pytest.mark.no_lambda_cloud # Lambda Cloud does not support spot instances -@pytest.mark.no_ibm # IBM Cloud does not support spot instances -@pytest.mark.no_paperspace # Paperspace does not support spot instances -@pytest.mark.no_scp # SCP does not support spot instances -@pytest.mark.managed_jobs -def test_managed_jobs_storage(generic_cloud: str): - """Test storage with managed job""" - name = _get_cluster_name() - yaml_str = pathlib.Path( - 'examples/managed_job_with_storage.yaml').read_text() - timestamp = int(time.time()) - storage_name = f'sky-test-{timestamp}' - output_storage_name = f'sky-test-output-{timestamp}' - - # Also perform region testing for bucket creation to validate if buckets are - # created in the correct region and correctly mounted in managed jobs. - # However, we inject this testing only for AWS and GCP since they are the - # supported object storage providers in SkyPilot. - region_flag = '' - region_validation_cmd = 'true' - use_spot = ' --use-spot' - if generic_cloud == 'aws': - region = 'eu-central-1' - region_flag = f' --region {region}' - region_cmd = TestStorageWithCredentials.cli_region_cmd( - storage_lib.StoreType.S3, bucket_name=storage_name) - region_validation_cmd = f'{region_cmd} | grep {region}' - s3_check_file_count = TestStorageWithCredentials.cli_count_name_in_bucket( - storage_lib.StoreType.S3, output_storage_name, 'output.txt') - output_check_cmd = f'{s3_check_file_count} | grep 1' - elif generic_cloud == 'gcp': - region = 'us-west2' - region_flag = f' --region {region}' - region_cmd = TestStorageWithCredentials.cli_region_cmd( - storage_lib.StoreType.GCS, bucket_name=storage_name) - region_validation_cmd = f'{region_cmd} | grep {region}' - gcs_check_file_count = TestStorageWithCredentials.cli_count_name_in_bucket( - storage_lib.StoreType.GCS, output_storage_name, 'output.txt') - output_check_cmd = f'{gcs_check_file_count} | grep 1' - elif generic_cloud == 'azure': - region = 'westus2' - region_flag = f' --region {region}' - storage_account_name = ( - storage_lib.AzureBlobStore.get_default_storage_account_name(region)) - region_cmd = TestStorageWithCredentials.cli_region_cmd( - storage_lib.StoreType.AZURE, - storage_account_name=storage_account_name) - region_validation_cmd = f'{region_cmd} | grep {region}' - az_check_file_count = TestStorageWithCredentials.cli_count_name_in_bucket( - storage_lib.StoreType.AZURE, - output_storage_name, - 'output.txt', - storage_account_name=storage_account_name) - output_check_cmd = f'{az_check_file_count} | grep 1' - elif generic_cloud == 'kubernetes': - # With Kubernetes, we don't know which object storage provider is used. - # Check both S3 and GCS if bucket exists in either. - s3_check_file_count = TestStorageWithCredentials.cli_count_name_in_bucket( - storage_lib.StoreType.S3, output_storage_name, 'output.txt') - s3_output_check_cmd = f'{s3_check_file_count} | grep 1' - gcs_check_file_count = TestStorageWithCredentials.cli_count_name_in_bucket( - storage_lib.StoreType.GCS, output_storage_name, 'output.txt') - gcs_output_check_cmd = f'{gcs_check_file_count} | grep 1' - output_check_cmd = f'{s3_output_check_cmd} || {gcs_output_check_cmd}' - use_spot = ' --no-use-spot' - - yaml_str = yaml_str.replace('sky-workdir-zhwu', storage_name) - yaml_str = yaml_str.replace('sky-output-bucket', output_storage_name) - with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: - f.write(yaml_str) - f.flush() - file_path = f.name - test = Test( - 'managed_jobs_storage', - [ - *STORAGE_SETUP_COMMANDS, - f'sky jobs launch -n {name}{use_spot} --cloud {generic_cloud}{region_flag} {file_path} -y', - region_validation_cmd, # Check if the bucket is created in the correct region - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.SUCCEEDED], - timeout=60 + _BUMP_UP_SECONDS), - # Wait for the job to be cleaned up. - 'sleep 20', - f'[ $(aws s3api list-buckets --query "Buckets[?contains(Name, \'{storage_name}\')].Name" --output text | wc -l) -eq 0 ]', - # Check if file was written to the mounted output bucket - output_check_cmd - ], - (f'sky jobs cancel -y -n {name}', - f'; sky storage delete {output_storage_name} || true'), - # Increase timeout since sky jobs queue -r can be blocked by other spot tests. - timeout=20 * 60, - ) - run_one_test(test) - - -# ---------- Testing spot TPU ---------- -@pytest.mark.gcp -@pytest.mark.managed_jobs -@pytest.mark.tpu -def test_managed_jobs_tpu(): - """Test managed job on TPU.""" - name = _get_cluster_name() - test = Test( - 'test-spot-tpu', - [ - f'sky jobs launch -n {name} --use-spot examples/tpu/tpuvm_mnist.yaml -y -d', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.STARTING], - timeout=60 + _BUMP_UP_SECONDS), - # TPU takes a while to launch - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[ - sky.ManagedJobStatus.RUNNING, sky.ManagedJobStatus.SUCCEEDED - ], - timeout=900 + _BUMP_UP_SECONDS), - ], - f'sky jobs cancel -y -n {name}', - # Increase timeout since sky jobs queue -r can be blocked by other spot tests. - timeout=20 * 60, - ) - run_one_test(test) - - -# ---------- Testing env for managed jobs ---------- -@pytest.mark.managed_jobs -def test_managed_jobs_inline_env(generic_cloud: str): - """Test managed jobs env""" - name = _get_cluster_name() - test = Test( - 'test-managed-jobs-inline-env', - [ - f'sky jobs launch -n {name} -y --cloud {generic_cloud} --env TEST_ENV="hello world" -- "echo "\\$TEST_ENV"; ([[ ! -z \\"\$TEST_ENV\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_IPS}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_RANK}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NUM_NODES}\\" ]]) || exit 1"', - _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name=name, - job_status=[sky.ManagedJobStatus.SUCCEEDED], - timeout=20 + _BUMP_UP_SECONDS), - f'JOB_ROW=$(sky jobs queue | grep {name} | head -n1) && ' - f'echo "$JOB_ROW" && echo "$JOB_ROW" | grep "SUCCEEDED" && ' - f'JOB_ID=$(echo "$JOB_ROW" | awk \'{{print $1}}\') && ' - f'echo "JOB_ID=$JOB_ID" && ' - # Test that logs are still available after the job finishes. - 'unset SKYPILOT_DEBUG; s=$(sky jobs logs $JOB_ID --refresh) && echo "$s" && echo "$s" | grep "hello world" && ' - # Make sure we skip the unnecessary logs. - 'echo "$s" | head -n1 | grep "Waiting for"', - ], - f'sky jobs cancel -y -n {name}', - # Increase timeout since sky jobs queue -r can be blocked by other spot tests. - timeout=20 * 60, - ) - run_one_test(test) - - -# ---------- Testing env ---------- -def test_inline_env(generic_cloud: str): - """Test env""" - name = _get_cluster_name() - test = Test( - 'test-inline-env', - [ - f'sky launch -c {name} -y --cloud {generic_cloud} --env TEST_ENV="hello world" -- "([[ ! -z \\"\$TEST_ENV\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_IPS}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_RANK}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NUM_NODES}\\" ]]) || exit 1"', - 'sleep 20', - f'sky logs {name} 1 --status', - f'sky exec {name} --env TEST_ENV2="success" "([[ ! -z \\"\$TEST_ENV2\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_IPS}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_RANK}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NUM_NODES}\\" ]]) || exit 1"', - f'sky logs {name} 2 --status', - ], - f'sky down -y {name}', - _get_timeout(generic_cloud), - ) - run_one_test(test) - - -# ---------- Testing env file ---------- -def test_inline_env_file(generic_cloud: str): - """Test env""" - name = _get_cluster_name() - test = Test( - 'test-inline-env-file', - [ - f'sky launch -c {name} -y --cloud {generic_cloud} --env TEST_ENV="hello world" -- "([[ ! -z \\"\$TEST_ENV\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_IPS}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_RANK}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NUM_NODES}\\" ]]) || exit 1"', - f'sky logs {name} 1 --status', - f'sky exec {name} --env-file examples/sample_dotenv "([[ ! -z \\"\$TEST_ENV2\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_IPS}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_RANK}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NUM_NODES}\\" ]]) || exit 1"', - f'sky logs {name} 2 --status', - ], - f'sky down -y {name}', - _get_timeout(generic_cloud), - ) - run_one_test(test) - - -# ---------- Testing custom image ---------- -@pytest.mark.aws -def test_aws_custom_image(): - """Test AWS custom image""" - name = _get_cluster_name() - test = Test( - 'test-aws-custom-image', - [ - f'sky launch -c {name} --retry-until-up -y tests/test_yamls/test_custom_image.yaml --cloud aws --region us-east-2 --image-id ami-062ddd90fb6f8267a', # Nvidia image - f'sky logs {name} 1 --status', - ], - f'sky down -y {name}', - timeout=30 * 60, - ) - run_one_test(test) - - -@pytest.mark.kubernetes -@pytest.mark.parametrize( - 'image_id', - [ - 'docker:nvidia/cuda:11.8.0-devel-ubuntu18.04', - 'docker:ubuntu:18.04', - # Test latest image with python 3.11 installed by default. - 'docker:continuumio/miniconda3:24.1.2-0', - # Test python>=3.12 where SkyPilot should automatically create a separate - # conda env for runtime with python 3.10. - 'docker:continuumio/miniconda3:latest', - ]) -def test_kubernetes_custom_image(image_id): - """Test Kubernetes custom image""" - name = _get_cluster_name() - test = Test( - 'test-kubernetes-custom-image', - [ - f'sky launch -c {name} --retry-until-up -y tests/test_yamls/test_custom_image.yaml --cloud kubernetes --image-id {image_id} --region None --gpus T4:1', - f'sky logs {name} 1 --status', - # Try exec to run again and check if the logs are printed - f'sky exec {name} tests/test_yamls/test_custom_image.yaml --cloud kubernetes --image-id {image_id} --region None --gpus T4:1 | grep "Hello 100"', - # Make sure ssh is working with custom username - f'ssh {name} echo hi | grep hi', - ], - f'sky down -y {name}', - timeout=30 * 60, - ) - run_one_test(test) - - -@pytest.mark.azure -def test_azure_start_stop_two_nodes(): - name = _get_cluster_name() - test = Test( - 'azure-start-stop-two-nodes', - [ - f'sky launch --num-nodes=2 -y -c {name} examples/azure_start_stop.yaml', - f'sky exec --num-nodes=2 {name} examples/azure_start_stop.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky stop -y {name}', - f'sky start -y {name} -i 1', - f'sky exec --num-nodes=2 {name} examples/azure_start_stop.yaml', - f'sky logs {name} 2 --status', # Ensure the job succeeded. - _get_cmd_wait_until_cluster_status_contains( - cluster_name=name, - cluster_status=[ - sky.ClusterStatus.INIT, sky.ClusterStatus.STOPPED - ], - timeout=200 + _BUMP_UP_SECONDS) + - f'|| {{ ssh {name} "cat ~/.sky/skylet.log"; exit 1; }}' - ], - f'sky down -y {name}', - timeout=30 * 60, # 30 mins (it takes around ~23 mins) - ) - run_one_test(test) - - -# ---------- Testing env for disk tier ---------- -@pytest.mark.aws -def test_aws_disk_tier(): - - def _get_aws_query_command(region, instance_id, field, expected): - return (f'aws ec2 describe-volumes --region {region} ' - f'--filters Name=attachment.instance-id,Values={instance_id} ' - f'--query Volumes[*].{field} | grep {expected} ; ') - - for disk_tier in list(resources_utils.DiskTier): - specs = AWS._get_disk_specs(disk_tier) - name = _get_cluster_name() + '-' + disk_tier.value - name_on_cloud = common_utils.make_cluster_name_on_cloud( - name, sky.AWS.max_cluster_name_length()) - region = 'us-east-2' - test = Test( - 'aws-disk-tier-' + disk_tier.value, - [ - f'sky launch -y -c {name} --cloud aws --region {region} ' - f'--disk-tier {disk_tier.value} echo "hello sky"', - f'id=`aws ec2 describe-instances --region {region} --filters ' - f'Name=tag:ray-cluster-name,Values={name_on_cloud} --query ' - f'Reservations[].Instances[].InstanceId --output text`; ' + - _get_aws_query_command(region, '$id', 'VolumeType', - specs['disk_tier']) + - ('' if specs['disk_tier'] - == 'standard' else _get_aws_query_command( - region, '$id', 'Iops', specs['disk_iops'])) + - ('' if specs['disk_tier'] != 'gp3' else _get_aws_query_command( - region, '$id', 'Throughput', specs['disk_throughput'])), - ], - f'sky down -y {name}', - timeout=10 * 60, # 10 mins (it takes around ~6 mins) - ) - run_one_test(test) - - -@pytest.mark.gcp -def test_gcp_disk_tier(): - for disk_tier in list(resources_utils.DiskTier): - disk_types = [GCP._get_disk_type(disk_tier)] - name = _get_cluster_name() + '-' + disk_tier.value - name_on_cloud = common_utils.make_cluster_name_on_cloud( - name, sky.GCP.max_cluster_name_length()) - region = 'us-west2' - instance_type_options = [''] - if disk_tier == resources_utils.DiskTier.BEST: - # Ultra disk tier requires n2 instance types to have more than 64 CPUs. - # If using default instance type, it will only enable the high disk tier. - disk_types = [ - GCP._get_disk_type(resources_utils.DiskTier.HIGH), - GCP._get_disk_type(resources_utils.DiskTier.ULTRA), - ] - instance_type_options = ['', '--instance-type n2-standard-64'] - for disk_type, instance_type_option in zip(disk_types, - instance_type_options): - test = Test( - 'gcp-disk-tier-' + disk_tier.value, - [ - f'sky launch -y -c {name} --cloud gcp --region {region} ' - f'--disk-tier {disk_tier.value} {instance_type_option} ', - f'name=`gcloud compute instances list --filter=' - f'"labels.ray-cluster-name:{name_on_cloud}" ' - '--format="value(name)"`; ' - f'gcloud compute disks list --filter="name=$name" ' - f'--format="value(type)" | grep {disk_type} ' - ], - f'sky down -y {name}', - timeout=6 * 60, # 6 mins (it takes around ~3 mins) - ) - run_one_test(test) - - -@pytest.mark.azure -def test_azure_disk_tier(): - for disk_tier in list(resources_utils.DiskTier): - if disk_tier == resources_utils.DiskTier.HIGH or disk_tier == resources_utils.DiskTier.ULTRA: - # Azure does not support high and ultra disk tier. - continue - type = Azure._get_disk_type(disk_tier) - name = _get_cluster_name() + '-' + disk_tier.value - name_on_cloud = common_utils.make_cluster_name_on_cloud( - name, sky.Azure.max_cluster_name_length()) - region = 'westus2' - test = Test( - 'azure-disk-tier-' + disk_tier.value, - [ - f'sky launch -y -c {name} --cloud azure --region {region} ' - f'--disk-tier {disk_tier.value} echo "hello sky"', - f'az resource list --tag ray-cluster-name={name_on_cloud} --query ' - f'"[?type==\'Microsoft.Compute/disks\'].sku.name" ' - f'--output tsv | grep {type}' - ], - f'sky down -y {name}', - timeout=20 * 60, # 20 mins (it takes around ~12 mins) - ) - run_one_test(test) - - -@pytest.mark.azure -def test_azure_best_tier_failover(): - type = Azure._get_disk_type(resources_utils.DiskTier.LOW) - name = _get_cluster_name() - name_on_cloud = common_utils.make_cluster_name_on_cloud( - name, sky.Azure.max_cluster_name_length()) - region = 'westus2' - test = Test( - 'azure-best-tier-failover', - [ - f'sky launch -y -c {name} --cloud azure --region {region} ' - f'--disk-tier best --instance-type Standard_D8_v5 echo "hello sky"', - f'az resource list --tag ray-cluster-name={name_on_cloud} --query ' - f'"[?type==\'Microsoft.Compute/disks\'].sku.name" ' - f'--output tsv | grep {type}', - ], - f'sky down -y {name}', - timeout=20 * 60, # 20 mins (it takes around ~12 mins) - ) - run_one_test(test) - - -# ------ Testing Zero Quota Failover ------ -@pytest.mark.aws -def test_aws_zero_quota_failover(): - - name = _get_cluster_name() - region = get_aws_region_for_quota_failover() - - if not region: - pytest.xfail( - 'Unable to test zero quota failover optimization — quotas ' - 'for EC2 P3 instances were found on all AWS regions. Is this ' - 'expected for your account?') - return - - test = Test( - 'aws-zero-quota-failover', - [ - f'sky launch -y -c {name} --cloud aws --region {region} --gpus V100:8 --use-spot | grep "Found no quota"', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.gcp -def test_gcp_zero_quota_failover(): - - name = _get_cluster_name() - region = get_gcp_region_for_quota_failover() - - if not region: - pytest.xfail( - 'Unable to test zero quota failover optimization — quotas ' - 'for A100-80GB GPUs were found on all GCP regions. Is this ' - 'expected for your account?') - return - - test = Test( - 'gcp-zero-quota-failover', - [ - f'sky launch -y -c {name} --cloud gcp --region {region} --gpus A100-80GB:1 --use-spot | grep "Found no quota"', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -def test_long_setup_run_script(generic_cloud: str): - name = _get_cluster_name() - with tempfile.NamedTemporaryFile('w', prefix='sky_app_', - suffix='.yaml') as f: - f.write( - textwrap.dedent(""" \ - setup: | - echo "start long setup" - """)) - for i in range(1024 * 200): - f.write(f' echo {i}\n') - f.write(' echo "end long setup"\n') - f.write( - textwrap.dedent(""" \ - run: | - echo "run" - """)) - for i in range(1024 * 200): - f.write(f' echo {i}\n') - f.write(' echo "end run"\n') - f.flush() - - test = Test( - 'long-setup-run-script', - [ - f'sky launch -y -c {name} --cloud {generic_cloud} --cpus 2+ {f.name}', - f'sky exec {name} "echo hello"', - f'sky exec {name} {f.name}', - f'sky logs {name} --status 1', - f'sky logs {name} --status 2', - f'sky logs {name} --status 3', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Testing skyserve ---------- - - -def _get_service_name() -> str: - """Returns a user-unique service name for each test_skyserve_(). - - Must be called from each test_skyserve_(). - """ - caller_func_name = inspect.stack()[1][3] - test_name = caller_func_name.replace('_', '-').replace('test-', 't-') - test_name = test_name.replace('skyserve-', 'ss-') - test_name = common_utils.make_cluster_name_on_cloud(test_name, 24) - return f'{test_name}-{test_id}' - - -# We check the output of the skyserve service to see if it is ready. Output of -# `REPLICAS` is in the form of `1/2` where the first number is the number of -# ready replicas and the second number is the number of total replicas. We -# grep such format to ensure that the service is ready, and early exit if any -# failure detected. In the end we sleep for -# serve.LB_CONTROLLER_SYNC_INTERVAL_SECONDS to make sure load balancer have -# enough time to sync with the controller and get all ready replica IPs. -_SERVE_WAIT_UNTIL_READY = ( - '{{ while true; do' - ' s=$(sky serve status {name}); echo "$s";' - ' echo "$s" | grep -q "{replica_num}/{replica_num}" && break;' - ' echo "$s" | grep -q "FAILED" && exit 1;' - ' sleep 10;' - ' done; }}; echo "Got service status $s";' - f'sleep {serve.LB_CONTROLLER_SYNC_INTERVAL_SECONDS + 2};') -_IP_REGEX = r'([0-9]{1,3}\.){3}[0-9]{1,3}' -_AWK_ALL_LINES_BELOW_REPLICAS = r'/Replicas/{flag=1; next} flag' -_SERVICE_LAUNCHING_STATUS_REGEX = 'PROVISIONING\|STARTING' -# Since we don't allow terminate the service if the controller is INIT, -# which is common for simultaneous pytest, we need to wait until the -# controller is UP before we can terminate the service. -# The teardown command has a 10-mins timeout, so we don't need to do -# the timeout here. See implementation of run_one_test() for details. -_TEARDOWN_SERVICE = ( - '(for i in `seq 1 20`; do' - ' s=$(sky serve down -y {name});' - ' echo "Trying to terminate {name}";' - ' echo "$s";' - ' echo "$s" | grep -q "scheduled to be terminated\|No service to terminate" && break;' - ' sleep 10;' - ' [ $i -eq 20 ] && echo "Failed to terminate service {name}";' - 'done)') - -_SERVE_ENDPOINT_WAIT = ( - 'export ORIGIN_SKYPILOT_DEBUG=$SKYPILOT_DEBUG; export SKYPILOT_DEBUG=0; ' - 'endpoint=$(sky serve status --endpoint {name}); ' - 'until ! echo "$endpoint" | grep "Controller is initializing"; ' - 'do echo "Waiting for serve endpoint to be ready..."; ' - 'sleep 5; endpoint=$(sky serve status --endpoint {name}); done; ' - 'export SKYPILOT_DEBUG=$ORIGIN_SKYPILOT_DEBUG; echo "$endpoint"') - -_SERVE_STATUS_WAIT = ('s=$(sky serve status {name}); ' - 'until ! echo "$s" | grep "Controller is initializing."; ' - 'do echo "Waiting for serve status to be ready..."; ' - 'sleep 5; s=$(sky serve status {name}); done; echo "$s"') - - -def _get_replica_ip(name: str, replica_id: int) -> str: - return (f'ip{replica_id}=$(echo "$s" | ' - f'awk "{_AWK_ALL_LINES_BELOW_REPLICAS}" | ' - f'grep -E "{name}\s+{replica_id}" | ' - f'grep -Eo "{_IP_REGEX}")') - - -def _get_skyserve_http_test(name: str, cloud: str, - timeout_minutes: int) -> Test: - test = Test( - f'test-skyserve-{cloud.replace("_", "-")}', - [ - f'sky serve up -n {name} -y tests/skyserve/http/{cloud}.yaml', - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2), - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' - 'curl http://$endpoint | grep "Hi, SkyPilot here"', - ], - _TEARDOWN_SERVICE.format(name=name), - timeout=timeout_minutes * 60, - ) - return test - - -def _check_replica_in_status(name: str, check_tuples: List[Tuple[int, bool, - str]]) -> str: - """Check replicas' status and count in sky serve status - - We will check vCPU=2, as all our tests use vCPU=2. - - Args: - name: the name of the service - check_tuples: A list of replica property to check. Each tuple is - (count, is_spot, status) - """ - check_cmd = '' - for check_tuple in check_tuples: - count, is_spot, status = check_tuple - resource_str = '' - if status not in ['PENDING', 'SHUTTING_DOWN' - ] and not status.startswith('FAILED'): - spot_str = '' - if is_spot: - spot_str = '\[Spot\]' - resource_str = f'({spot_str}vCPU=2)' - check_cmd += (f' echo "$s" | grep "{resource_str}" | ' - f'grep "{status}" | wc -l | grep {count} || exit 1;') - return (f'{_SERVE_STATUS_WAIT.format(name=name)}; echo "$s"; ' + check_cmd) - - -def _check_service_version(service_name: str, version: str) -> str: - # Grep the lines before 'Service Replicas' and check if the service version - # is correct. - return (f'echo "$s" | grep -B1000 "Service Replicas" | ' - f'grep -E "{service_name}\s+{version}" || exit 1; ') - - -@pytest.mark.gcp -@pytest.mark.serve -def test_skyserve_gcp_http(): - """Test skyserve on GCP""" - name = _get_service_name() - test = _get_skyserve_http_test(name, 'gcp', 20) - run_one_test(test) - - -@pytest.mark.aws -@pytest.mark.serve -def test_skyserve_aws_http(): - """Test skyserve on AWS""" - name = _get_service_name() - test = _get_skyserve_http_test(name, 'aws', 20) - run_one_test(test) - - -@pytest.mark.azure -@pytest.mark.serve -def test_skyserve_azure_http(): - """Test skyserve on Azure""" - name = _get_service_name() - test = _get_skyserve_http_test(name, 'azure', 30) - run_one_test(test) - - -@pytest.mark.kubernetes -@pytest.mark.serve -def test_skyserve_kubernetes_http(): - """Test skyserve on Kubernetes""" - name = _get_service_name() - test = _get_skyserve_http_test(name, 'kubernetes', 30) - run_one_test(test) - - -@pytest.mark.oci -@pytest.mark.serve -def test_skyserve_oci_http(): - """Test skyserve on OCI""" - name = _get_service_name() - test = _get_skyserve_http_test(name, 'oci', 20) - run_one_test(test) - - -@pytest.mark.no_fluidstack # Fluidstack does not support T4 gpus for now -@pytest.mark.serve -def test_skyserve_llm(generic_cloud: str): - """Test skyserve with real LLM usecase""" - name = _get_service_name() - - def generate_llm_test_command(prompt: str, expected_output: str) -> str: - prompt = shlex.quote(prompt) - expected_output = shlex.quote(expected_output) - return ( - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' - 'python tests/skyserve/llm/get_response.py --endpoint $endpoint ' - f'--prompt {prompt} | grep {expected_output}') - - with open('tests/skyserve/llm/prompt_output.json', 'r', - encoding='utf-8') as f: - prompt2output = json.load(f) - - test = Test( - f'test-skyserve-llm', - [ - f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/llm/service.yaml', - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=1), - *[ - generate_llm_test_command(prompt, output) - for prompt, output in prompt2output.items() - ], - ], - _TEARDOWN_SERVICE.format(name=name), - timeout=40 * 60, - ) - run_one_test(test) - - -@pytest.mark.gcp -@pytest.mark.serve -def test_skyserve_spot_recovery(): - name = _get_service_name() - zone = 'us-central1-a' - - test = Test( - f'test-skyserve-spot-recovery-gcp', - [ - f'sky serve up -n {name} -y tests/skyserve/spot/recovery.yaml', - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=1), - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' - 'request_output=$(curl http://$endpoint); echo "$request_output"; echo "$request_output" | grep "Hi, SkyPilot here"', - _terminate_gcp_replica(name, zone, 1), - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=1), - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' - 'request_output=$(curl http://$endpoint); echo "$request_output"; echo "$request_output" | grep "Hi, SkyPilot here"', - ], - _TEARDOWN_SERVICE.format(name=name), - timeout=20 * 60, - ) - run_one_test(test) - - -@pytest.mark.no_fluidstack # Fluidstack does not support spot instances -@pytest.mark.serve -@pytest.mark.no_kubernetes -def test_skyserve_base_ondemand_fallback(generic_cloud: str): - name = _get_service_name() - test = Test( - f'test-skyserve-base-ondemand-fallback', - [ - f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/spot/base_ondemand_fallback.yaml', - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2), - _check_replica_in_status(name, [(1, True, 'READY'), - (1, False, 'READY')]), - ], - _TEARDOWN_SERVICE.format(name=name), - timeout=20 * 60, - ) - run_one_test(test) - - -@pytest.mark.gcp -@pytest.mark.serve -def test_skyserve_dynamic_ondemand_fallback(): - name = _get_service_name() - zone = 'us-central1-a' - - test = Test( - f'test-skyserve-dynamic-ondemand-fallback', - [ - f'sky serve up -n {name} --cloud gcp -y tests/skyserve/spot/dynamic_ondemand_fallback.yaml', - f'sleep 40', - # 2 on-demand (provisioning) + 2 Spot (provisioning). - f'{_SERVE_STATUS_WAIT.format(name=name)}; echo "$s";' - 'echo "$s" | grep -q "0/4" || exit 1', - # Wait for the provisioning starts - f'sleep 40', - _check_replica_in_status(name, [ - (2, True, _SERVICE_LAUNCHING_STATUS_REGEX + '\|READY'), - (2, False, _SERVICE_LAUNCHING_STATUS_REGEX + '\|SHUTTING_DOWN') - ]), - - # Wait until 2 spot instances are ready. - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2), - _check_replica_in_status(name, [(2, True, 'READY'), - (0, False, '')]), - _terminate_gcp_replica(name, zone, 1), - f'sleep 40', - # 1 on-demand (provisioning) + 1 Spot (ready) + 1 spot (provisioning). - f'{_SERVE_STATUS_WAIT.format(name=name)}; ' - 'echo "$s" | grep -q "1/3"', - _check_replica_in_status( - name, [(1, True, 'READY'), - (1, True, _SERVICE_LAUNCHING_STATUS_REGEX), - (1, False, _SERVICE_LAUNCHING_STATUS_REGEX)]), - - # Wait until 2 spot instances are ready. - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2), - _check_replica_in_status(name, [(2, True, 'READY'), - (0, False, '')]), - ], - _TEARDOWN_SERVICE.format(name=name), - timeout=20 * 60, - ) - run_one_test(test) - - -# TODO: fluidstack does not support `--cpus 2`, but the check for services in this test is based on CPUs -@pytest.mark.no_fluidstack -@pytest.mark.serve -def test_skyserve_user_bug_restart(generic_cloud: str): - """Tests that we restart the service after user bug.""" - # TODO(zhwu): this behavior needs some rethinking. - name = _get_service_name() - test = Test( - f'test-skyserve-user-bug-restart', - [ - f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/restart/user_bug.yaml', - f's=$(sky serve status {name}); echo "$s";' - 'until echo "$s" | grep -A 100 "Service Replicas" | grep "SHUTTING_DOWN"; ' - 'do echo "Waiting for first service to be SHUTTING DOWN..."; ' - f'sleep 5; s=$(sky serve status {name}); echo "$s"; done; ', - f's=$(sky serve status {name}); echo "$s";' - 'until echo "$s" | grep -A 100 "Service Replicas" | grep "FAILED"; ' - 'do echo "Waiting for first service to be FAILED..."; ' - f'sleep 5; s=$(sky serve status {name}); echo "$s"; done; echo "$s"; ' - + _check_replica_in_status(name, [(1, True, 'FAILED')]) + - # User bug failure will cause no further scaling. - f'echo "$s" | grep -A 100 "Service Replicas" | grep "{name}" | wc -l | grep 1; ' - f'echo "$s" | grep -B 100 "NO_REPLICA" | grep "0/0"', - f'sky serve update {name} --cloud {generic_cloud} -y tests/skyserve/auto_restart.yaml', - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' - 'until curl http://$endpoint | grep "Hi, SkyPilot here!"; do sleep 2; done; sleep 2; ' - + _check_replica_in_status(name, [(1, False, 'READY'), - (1, False, 'FAILED')]), - ], - _TEARDOWN_SERVICE.format(name=name), - timeout=20 * 60, - ) - run_one_test(test) - - -@pytest.mark.serve -@pytest.mark.no_kubernetes # Replicas on k8s may be running on the same node and have the same public IP -def test_skyserve_load_balancer(generic_cloud: str): - """Test skyserve load balancer round-robin policy""" - name = _get_service_name() - test = Test( - f'test-skyserve-load-balancer', - [ - f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/load_balancer/service.yaml', - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=3), - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' - f'{_SERVE_STATUS_WAIT.format(name=name)}; ' - f'{_get_replica_ip(name, 1)}; ' - f'{_get_replica_ip(name, 2)}; {_get_replica_ip(name, 3)}; ' - 'python tests/skyserve/load_balancer/test_round_robin.py ' - '--endpoint $endpoint --replica-num 3 --replica-ips $ip1 $ip2 $ip3', - ], - _TEARDOWN_SERVICE.format(name=name), - timeout=20 * 60, - ) - run_one_test(test) - - -@pytest.mark.gcp -@pytest.mark.serve -@pytest.mark.no_kubernetes -def test_skyserve_auto_restart(): - """Test skyserve with auto restart""" - name = _get_service_name() - zone = 'us-central1-a' - test = Test( - f'test-skyserve-auto-restart', - [ - # TODO(tian): we can dynamically generate YAML from template to - # avoid maintaining too many YAML files - f'sky serve up -n {name} -y tests/skyserve/auto_restart.yaml', - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=1), - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' - 'request_output=$(curl http://$endpoint); echo "$request_output"; echo "$request_output" | grep "Hi, SkyPilot here"', - # sleep for 20 seconds (initial delay) to make sure it will - # be restarted - f'sleep 20', - _terminate_gcp_replica(name, zone, 1), - # Wait for consecutive failure timeout passed. - # If the cluster is not using spot, it won't check the cluster status - # on the cloud (since manual shutdown is not a common behavior and such - # queries takes a lot of time). Instead, we think continuous 3 min probe - # failure is not a temporary problem but indeed a failure. - 'sleep 180', - # We cannot use _SERVE_WAIT_UNTIL_READY; there will be a intermediate time - # that the output of `sky serve status` shows FAILED and this status will - # cause _SERVE_WAIT_UNTIL_READY to early quit. - '(while true; do' - f' output=$(sky serve status {name});' - ' echo "$output" | grep -q "1/1" && break;' - ' sleep 10;' - f'done); sleep {serve.LB_CONTROLLER_SYNC_INTERVAL_SECONDS};', - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' - 'request_output=$(curl http://$endpoint); echo "$request_output"; echo "$request_output" | grep "Hi, SkyPilot here"', - ], - _TEARDOWN_SERVICE.format(name=name), - timeout=20 * 60, - ) - run_one_test(test) - - -@pytest.mark.serve -def test_skyserve_cancel(generic_cloud: str): - """Test skyserve with cancel""" - name = _get_service_name() - - test = Test( - f'test-skyserve-cancel', - [ - f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/cancel/cancel.yaml', - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=1), - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; python3 ' - 'tests/skyserve/cancel/send_cancel_request.py ' - '--endpoint $endpoint | grep "Request was cancelled"', - f's=$(sky serve logs {name} 1 --no-follow); ' - 'until ! echo "$s" | grep "Please wait for the controller to be"; ' - 'do echo "Waiting for serve logs"; sleep 10; ' - f's=$(sky serve logs {name} 1 --no-follow); done; ' - 'echo "$s"; echo "$s" | grep "Client disconnected, stopping computation"', - ], - _TEARDOWN_SERVICE.format(name=name), - timeout=20 * 60, - ) - run_one_test(test) - - -@pytest.mark.serve -def test_skyserve_streaming(generic_cloud: str): - """Test skyserve with streaming""" - name = _get_service_name() - test = Test( - f'test-skyserve-streaming', - [ - f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/streaming/streaming.yaml', - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=1), - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' - 'python3 tests/skyserve/streaming/send_streaming_request.py ' - '--endpoint $endpoint | grep "Streaming test passed"', - ], - _TEARDOWN_SERVICE.format(name=name), - timeout=20 * 60, - ) - run_one_test(test) - - -@pytest.mark.serve -def test_skyserve_readiness_timeout_fail(generic_cloud: str): - """Test skyserve with large readiness probe latency, expected to fail""" - name = _get_service_name() - test = Test( - f'test-skyserve-readiness-timeout-fail', - [ - f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/readiness_timeout/task.yaml', - # None of the readiness probe will pass, so the service will be - # terminated after the initial delay. - f's=$(sky serve status {name}); ' - f'until echo "$s" | grep "FAILED_INITIAL_DELAY"; do ' - 'echo "Waiting for replica to be failed..."; sleep 5; ' - f's=$(sky serve status {name}); echo "$s"; done;', - 'sleep 60', - f'{_SERVE_STATUS_WAIT.format(name=name)}; echo "$s" | grep "{name}" | grep "FAILED_INITIAL_DELAY" | wc -l | grep 1;' - ], - _TEARDOWN_SERVICE.format(name=name), - timeout=20 * 60, - ) - run_one_test(test) - - -@pytest.mark.serve -def test_skyserve_large_readiness_timeout(generic_cloud: str): - """Test skyserve with customized large readiness timeout""" - name = _get_service_name() - test = Test( - f'test-skyserve-large-readiness-timeout', - [ - f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/readiness_timeout/task_large_timeout.yaml', - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=1), - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' - 'request_output=$(curl http://$endpoint); echo "$request_output"; echo "$request_output" | grep "Hi, SkyPilot here"', - ], - _TEARDOWN_SERVICE.format(name=name), - timeout=20 * 60, - ) - run_one_test(test) - - -# TODO: fluidstack does not support `--cpus 2`, but the check for services in this test is based on CPUs -@pytest.mark.no_fluidstack -@pytest.mark.serve -def test_skyserve_update(generic_cloud: str): - """Test skyserve with update""" - name = _get_service_name() - test = Test( - f'test-skyserve-update', - [ - f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/update/old.yaml', - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2), - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; curl http://$endpoint | grep "Hi, SkyPilot here"', - f'sky serve update {name} --cloud {generic_cloud} --mode blue_green -y tests/skyserve/update/new.yaml', - # sleep before update is registered. - 'sleep 20', - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' - 'until curl http://$endpoint | grep "Hi, new SkyPilot here!"; do sleep 2; done;' - # Make sure the traffic is not mixed - 'curl http://$endpoint | grep "Hi, new SkyPilot here"', - # The latest 2 version should be READY and the older versions should be shutting down - (_check_replica_in_status(name, [(2, False, 'READY'), - (2, False, 'SHUTTING_DOWN')]) + - _check_service_version(name, "2")), - ], - _TEARDOWN_SERVICE.format(name=name), - timeout=20 * 60, - ) - run_one_test(test) - - -# TODO: fluidstack does not support `--cpus 2`, but the check for services in this test is based on CPUs -@pytest.mark.no_fluidstack -@pytest.mark.serve -def test_skyserve_rolling_update(generic_cloud: str): - """Test skyserve with rolling update""" - name = _get_service_name() - single_new_replica = _check_replica_in_status( - name, [(2, False, 'READY'), (1, False, _SERVICE_LAUNCHING_STATUS_REGEX), - (1, False, 'SHUTTING_DOWN')]) - test = Test( - f'test-skyserve-rolling-update', - [ - f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/update/old.yaml', - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2), - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; curl http://$endpoint | grep "Hi, SkyPilot here"', - f'sky serve update {name} --cloud {generic_cloud} -y tests/skyserve/update/new.yaml', - # Make sure the traffic is mixed across two versions, the replicas - # with even id will sleep 60 seconds before being ready, so we - # should be able to get observe the period that the traffic is mixed - # across two versions. - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' - 'until curl http://$endpoint | grep "Hi, new SkyPilot here!"; do sleep 2; done; sleep 2; ' - # The latest version should have one READY and the one of the older versions should be shutting down - f'{single_new_replica} {_check_service_version(name, "1,2")} ' - # Check the output from the old version, immediately after the - # output from the new version appears. This is guaranteed by the - # round robin load balancing policy. - # TODO(zhwu): we should have a more generalized way for checking the - # mixed version of replicas to avoid depending on the specific - # round robin load balancing policy. - 'curl http://$endpoint | grep "Hi, SkyPilot here"', - ], - _TEARDOWN_SERVICE.format(name=name), - timeout=20 * 60, - ) - run_one_test(test) - - -@pytest.mark.no_fluidstack -@pytest.mark.serve -def test_skyserve_fast_update(generic_cloud: str): - """Test skyserve with fast update (Increment version of old replicas)""" - name = _get_service_name() - - test = Test( - f'test-skyserve-fast-update', - [ - f'sky serve up -n {name} -y --cloud {generic_cloud} tests/skyserve/update/bump_version_before.yaml', - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2), - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; curl http://$endpoint | grep "Hi, SkyPilot here"', - f'sky serve update {name} --cloud {generic_cloud} --mode blue_green -y tests/skyserve/update/bump_version_after.yaml', - # sleep to wait for update to be registered. - 'sleep 40', - # 2 on-deamnd (ready) + 1 on-demand (provisioning). - ( - _check_replica_in_status( - name, [(2, False, 'READY'), - (1, False, _SERVICE_LAUNCHING_STATUS_REGEX)]) + - # Fast update will directly have the latest version ready. - _check_service_version(name, "2")), - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=3) + - _check_service_version(name, "2"), - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; curl http://$endpoint | grep "Hi, SkyPilot here"', - # Test rolling update - f'sky serve update {name} --cloud {generic_cloud} -y tests/skyserve/update/bump_version_before.yaml', - # sleep to wait for update to be registered. - 'sleep 25', - # 2 on-deamnd (ready) + 1 on-demand (shutting down). - _check_replica_in_status(name, [(2, False, 'READY'), - (1, False, 'SHUTTING_DOWN')]), - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2) + - _check_service_version(name, "3"), - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; curl http://$endpoint | grep "Hi, SkyPilot here"', - ], - _TEARDOWN_SERVICE.format(name=name), - timeout=30 * 60, - ) - run_one_test(test) - - -@pytest.mark.serve -def test_skyserve_update_autoscale(generic_cloud: str): - """Test skyserve update with autoscale""" - name = _get_service_name() - test = Test( - f'test-skyserve-update-autoscale', - [ - f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/update/num_min_two.yaml', - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2) + - _check_service_version(name, "1"), - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' - 'curl http://$endpoint | grep "Hi, SkyPilot here"', - f'sky serve update {name} --cloud {generic_cloud} --mode blue_green -y tests/skyserve/update/num_min_one.yaml', - # sleep before update is registered. - 'sleep 20', - # Timeout will be triggered when update fails. - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=1) + - _check_service_version(name, "2"), - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' - 'curl http://$endpoint | grep "Hi, SkyPilot here!"', - # Rolling Update - f'sky serve update {name} --cloud {generic_cloud} -y tests/skyserve/update/num_min_two.yaml', - # sleep before update is registered. - 'sleep 20', - # Timeout will be triggered when update fails. - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2) + - _check_service_version(name, "3"), - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' - 'curl http://$endpoint | grep "Hi, SkyPilot here!"', - ], - _TEARDOWN_SERVICE.format(name=name), - timeout=30 * 60, - ) - run_one_test(test) - - -@pytest.mark.no_fluidstack # Spot instances are note supported by Fluidstack -@pytest.mark.serve -@pytest.mark.no_kubernetes # Spot instances are not supported in Kubernetes -@pytest.mark.parametrize('mode', ['rolling', 'blue_green']) -def test_skyserve_new_autoscaler_update(mode: str, generic_cloud: str): - """Test skyserve with update that changes autoscaler""" - name = f'{_get_service_name()}-{mode}' - - wait_until_no_pending = ( - f's=$(sky serve status {name}); echo "$s"; ' - 'until ! echo "$s" | grep PENDING; do ' - ' echo "Waiting for replica to be out of pending..."; ' - f' sleep 5; s=$(sky serve status {name}); ' - ' echo "$s"; ' - 'done') - four_spot_up_cmd = _check_replica_in_status(name, [(4, True, 'READY')]) - update_check = [f'until ({four_spot_up_cmd}); do sleep 5; done; sleep 15;'] - if mode == 'rolling': - # Check rolling update, it will terminate one of the old on-demand - # instances, once there are 4 spot instance ready. - update_check += [ - _check_replica_in_status( - name, [(1, False, _SERVICE_LAUNCHING_STATUS_REGEX), - (1, False, 'SHUTTING_DOWN'), (1, False, 'READY')]) + - _check_service_version(name, "1,2"), - ] - else: - # Check blue green update, it will keep both old on-demand instances - # running, once there are 4 spot instance ready. - update_check += [ - _check_replica_in_status( - name, [(1, False, _SERVICE_LAUNCHING_STATUS_REGEX), - (2, False, 'READY')]) + - _check_service_version(name, "1"), - ] - test = Test( - f'test-skyserve-new-autoscaler-update-{mode}', - [ - f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/update/new_autoscaler_before.yaml', - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=2) + - _check_service_version(name, "1"), - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' - 's=$(curl http://$endpoint); echo "$s"; echo "$s" | grep "Hi, SkyPilot here"', - f'sky serve update {name} --cloud {generic_cloud} --mode {mode} -y tests/skyserve/update/new_autoscaler_after.yaml', - # Wait for update to be registered - f'sleep 90', - wait_until_no_pending, - _check_replica_in_status( - name, [(4, True, _SERVICE_LAUNCHING_STATUS_REGEX + '\|READY'), - (1, False, _SERVICE_LAUNCHING_STATUS_REGEX), - (2, False, 'READY')]), - *update_check, - _SERVE_WAIT_UNTIL_READY.format(name=name, replica_num=5), - f'{_SERVE_ENDPOINT_WAIT.format(name=name)}; ' - 'curl http://$endpoint | grep "Hi, SkyPilot here"', - _check_replica_in_status(name, [(4, True, 'READY'), - (1, False, 'READY')]), - ], - _TEARDOWN_SERVICE.format(name=name), - timeout=20 * 60, - ) - run_one_test(test) - - -# TODO: fluidstack does not support `--cpus 2`, but the check for services in this test is based on CPUs -@pytest.mark.no_fluidstack -@pytest.mark.serve -def test_skyserve_failures(generic_cloud: str): - """Test replica failure statuses""" - name = _get_service_name() - - test = Test( - 'test-skyserve-failures', - [ - f'sky serve up -n {name} --cloud {generic_cloud} -y tests/skyserve/failures/initial_delay.yaml', - f's=$(sky serve status {name}); ' - f'until echo "$s" | grep "FAILED_INITIAL_DELAY"; do ' - 'echo "Waiting for replica to be failed..."; sleep 5; ' - f's=$(sky serve status {name}); echo "$s"; done;', - 'sleep 60', - f'{_SERVE_STATUS_WAIT.format(name=name)}; echo "$s" | grep "{name}" | grep "FAILED_INITIAL_DELAY" | wc -l | grep 2; ' - # Make sure no new replicas are started for early failure. - f'echo "$s" | grep -A 100 "Service Replicas" | grep "{name}" | wc -l | grep 2;', - f'sky serve update {name} --cloud {generic_cloud} -y tests/skyserve/failures/probing.yaml', - f's=$(sky serve status {name}); ' - # Wait for replica to be ready. - f'until echo "$s" | grep "READY"; do ' - 'echo "Waiting for replica to be failed..."; sleep 5; ' - f's=$(sky serve status {name}); echo "$s"; done;', - # Wait for replica to change to FAILED_PROBING - f's=$(sky serve status {name}); ' - f'until echo "$s" | grep "FAILED_PROBING"; do ' - 'echo "Waiting for replica to be failed..."; sleep 5; ' - f's=$(sky serve status {name}); echo "$s"; done', - # Wait for the PENDING replica to appear. - 'sleep 10', - # Wait until the replica is out of PENDING. - f's=$(sky serve status {name}); ' - f'until ! echo "$s" | grep "PENDING" && ! echo "$s" | grep "Please wait for the controller to be ready."; do ' - 'echo "Waiting for replica to be out of pending..."; sleep 5; ' - f's=$(sky serve status {name}); echo "$s"; done; ' + - _check_replica_in_status( - name, [(1, False, 'FAILED_PROBING'), - (1, False, _SERVICE_LAUNCHING_STATUS_REGEX)]), - # TODO(zhwu): add test for FAILED_PROVISION - ], - _TEARDOWN_SERVICE.format(name=name), - timeout=20 * 60, - ) - run_one_test(test) - - -# TODO(Ziming, Tian): Add tests for autoscaling. - - -# ------- Testing user dependencies -------- -def test_user_dependencies(generic_cloud: str): - name = _get_cluster_name() - test = Test( - 'user-dependencies', - [ - f'sky launch -y -c {name} --cloud {generic_cloud} "pip install ray>2.11; ray start --head"', - f'sky logs {name} 1 --status', - f'sky exec {name} "echo hi"', - f'sky logs {name} 2 --status', - f'sky status -r {name} | grep UP', - f'sky exec {name} "echo bye"', - f'sky logs {name} 3 --status', - f'sky launch -c {name} tests/test_yamls/different_default_conda_env.yaml', - f'sky logs {name} 4 --status', - # Launch again to test the default env does not affect SkyPilot - # runtime setup - f'sky launch -c {name} "python --version 2>&1 | grep \'Python 3.6\' || exit 1"', - f'sky logs {name} 5 --status', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ------- Testing the core API -------- -# Most of the core APIs have been tested in the CLI tests. -# These tests are for testing the return value of the APIs not fully used in CLI. - - -@pytest.mark.gcp -def test_core_api_sky_launch_exec(): - name = _get_cluster_name() - task = sky.Task(run="whoami") - task.set_resources(sky.Resources(cloud=sky.GCP())) - job_id, handle = sky.launch(task, cluster_name=name) - assert job_id == 1 - assert handle is not None - assert handle.cluster_name == name - assert handle.launched_resources.cloud.is_same_cloud(sky.GCP()) - job_id_exec, handle_exec = sky.exec(task, cluster_name=name) - assert job_id_exec == 2 - assert handle_exec is not None - assert handle_exec.cluster_name == name - assert handle_exec.launched_resources.cloud.is_same_cloud(sky.GCP()) - # For dummy task (i.e. task.run is None), the job won't be submitted. - dummy_task = sky.Task() - job_id_dummy, _ = sky.exec(dummy_task, cluster_name=name) - assert job_id_dummy is None - sky.down(name) - - -# The sky launch CLI has some additional checks to make sure the cluster is up/ -# restarted. However, the core API doesn't have these; make sure it still works -def test_core_api_sky_launch_fast(generic_cloud: str): - name = _get_cluster_name() - cloud = sky.clouds.CLOUD_REGISTRY.from_str(generic_cloud) - try: - task = sky.Task(run="whoami").set_resources(sky.Resources(cloud=cloud)) - sky.launch(task, - cluster_name=name, - idle_minutes_to_autostop=1, - fast=True) - # Sleep to let the cluster autostop - _get_cmd_wait_until_cluster_status_contains( - cluster_name=name, - cluster_status=[sky.ClusterStatus.STOPPED], - timeout=120) - # Run it again - should work with fast=True - sky.launch(task, - cluster_name=name, - idle_minutes_to_autostop=1, - fast=True) - finally: - sky.down(name) - - -# ---------- Testing Storage ---------- -class TestStorageWithCredentials: - """Storage tests which require credentials and network connection""" - - AWS_INVALID_NAMES = [ - 'ab', # less than 3 characters - 'abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz1', - # more than 63 characters - 'Abcdef', # contains an uppercase letter - 'abc def', # contains a space - 'abc..def', # two adjacent periods - '192.168.5.4', # formatted as an IP address - 'xn--bucket', # starts with 'xn--' prefix - 'bucket-s3alias', # ends with '-s3alias' suffix - 'bucket--ol-s3', # ends with '--ol-s3' suffix - '.abc', # starts with a dot - 'abc.', # ends with a dot - '-abc', # starts with a hyphen - 'abc-', # ends with a hyphen - ] - - GCS_INVALID_NAMES = [ - 'ab', # less than 3 characters - 'abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz1', - # more than 63 characters (without dots) - 'Abcdef', # contains an uppercase letter - 'abc def', # contains a space - 'abc..def', # two adjacent periods - 'abc_.def.ghi.jklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz1' - # More than 63 characters between dots - 'abc_.def.ghi.jklmnopqrstuvwxyzabcdefghijklmnopqfghijklmnopqrstuvw' * 5, - # more than 222 characters (with dots) - '192.168.5.4', # formatted as an IP address - 'googbucket', # starts with 'goog' prefix - 'googlebucket', # contains 'google' - 'g00glebucket', # variant of 'google' - 'go0glebucket', # variant of 'google' - 'g0oglebucket', # variant of 'google' - '.abc', # starts with a dot - 'abc.', # ends with a dot - '_abc', # starts with an underscore - 'abc_', # ends with an underscore - ] - - AZURE_INVALID_NAMES = [ - 'ab', # less than 3 characters - # more than 63 characters - 'abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz1', - 'Abcdef', # contains an uppercase letter - '.abc', # starts with a non-letter(dot) - 'a--bc', # contains consecutive hyphens - ] - - IBM_INVALID_NAMES = [ - 'ab', # less than 3 characters - 'abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyz1', - # more than 63 characters - 'Abcdef', # contains an uppercase letter - 'abc def', # contains a space - 'abc..def', # two adjacent periods - '192.168.5.4', # formatted as an IP address - 'xn--bucket', # starts with 'xn--' prefix - '.abc', # starts with a dot - 'abc.', # ends with a dot - '-abc', # starts with a hyphen - 'abc-', # ends with a hyphen - 'a.-bc', # contains the sequence '.-' - 'a-.bc', # contains the sequence '-.' - 'a&bc' # contains special characters - 'ab^c' # contains special characters - ] - GITIGNORE_SYNC_TEST_DIR_STRUCTURE = { - 'double_asterisk': { - 'double_asterisk_excluded': None, - 'double_asterisk_excluded_dir': { - 'dir_excluded': None, - }, - }, - 'double_asterisk_parent': { - 'parent': { - 'also_excluded.txt': None, - 'child': { - 'double_asterisk_parent_child_excluded.txt': None, - }, - 'double_asterisk_parent_excluded.txt': None, - }, - }, - 'excluded.log': None, - 'excluded_dir': { - 'excluded.txt': None, - 'nested_excluded': { - 'excluded': None, - }, - }, - 'exp-1': { - 'be_excluded': None, - }, - 'exp-2': { - 'be_excluded': None, - }, - 'front_slash_excluded': None, - 'included.log': None, - 'included.txt': None, - 'include_dir': { - 'excluded.log': None, - 'included.log': None, - }, - 'nested_double_asterisk': { - 'one': { - 'also_exclude.txt': None, - }, - 'two': { - 'also_exclude.txt': None, - }, - }, - 'nested_wildcard_dir': { - 'monday': { - 'also_exclude.txt': None, - }, - 'tuesday': { - 'also_exclude.txt': None, - }, - }, - 'no_slash_excluded': None, - 'no_slash_tests': { - 'no_slash_excluded': { - 'also_excluded.txt': None, - }, - }, - 'question_mark': { - 'excluded1.txt': None, - 'excluded@.txt': None, - }, - 'square_bracket': { - 'excluded1.txt': None, - }, - 'square_bracket_alpha': { - 'excludedz.txt': None, - }, - 'square_bracket_excla': { - 'excluded2.txt': None, - 'excluded@.txt': None, - }, - 'square_bracket_single': { - 'excluded0.txt': None, - }, - } - - @staticmethod - def create_dir_structure(base_path, structure): - # creates a given file STRUCTURE in BASE_PATH - for name, substructure in structure.items(): - path = os.path.join(base_path, name) - if substructure is None: - # Create a file - open(path, 'a', encoding='utf-8').close() - else: - # Create a subdirectory - os.mkdir(path) - TestStorageWithCredentials.create_dir_structure( - path, substructure) - - @staticmethod - def cli_delete_cmd(store_type, - bucket_name, - storage_account_name: str = None): - if store_type == storage_lib.StoreType.S3: - url = f's3://{bucket_name}' - return f'aws s3 rb {url} --force' - if store_type == storage_lib.StoreType.GCS: - url = f'gs://{bucket_name}' - gsutil_alias, alias_gen = data_utils.get_gsutil_command() - return f'{alias_gen}; {gsutil_alias} rm -r {url}' - if store_type == storage_lib.StoreType.AZURE: - default_region = 'eastus' - storage_account_name = ( - storage_lib.AzureBlobStore.get_default_storage_account_name( - default_region)) - storage_account_key = data_utils.get_az_storage_account_key( - storage_account_name) - return ('az storage container delete ' - f'--account-name {storage_account_name} ' - f'--account-key {storage_account_key} ' - f'--name {bucket_name}') - if store_type == storage_lib.StoreType.R2: - endpoint_url = cloudflare.create_endpoint() - url = f's3://{bucket_name}' - return f'AWS_SHARED_CREDENTIALS_FILE={cloudflare.R2_CREDENTIALS_PATH} aws s3 rb {url} --force --endpoint {endpoint_url} --profile=r2' - if store_type == storage_lib.StoreType.IBM: - bucket_rclone_profile = Rclone.generate_rclone_bucket_profile_name( - bucket_name, Rclone.RcloneClouds.IBM) - return f'rclone purge {bucket_rclone_profile}:{bucket_name} && rclone config delete {bucket_rclone_profile}' - - @staticmethod - def cli_ls_cmd(store_type, bucket_name, suffix=''): - if store_type == storage_lib.StoreType.S3: - if suffix: - url = f's3://{bucket_name}/{suffix}' - else: - url = f's3://{bucket_name}' - return f'aws s3 ls {url}' - if store_type == storage_lib.StoreType.GCS: - if suffix: - url = f'gs://{bucket_name}/{suffix}' - else: - url = f'gs://{bucket_name}' - return f'gsutil ls {url}' - if store_type == storage_lib.StoreType.AZURE: - default_region = 'eastus' - config_storage_account = skypilot_config.get_nested( - ('azure', 'storage_account'), None) - storage_account_name = config_storage_account if ( - config_storage_account is not None) else ( - storage_lib.AzureBlobStore.get_default_storage_account_name( - default_region)) - storage_account_key = data_utils.get_az_storage_account_key( - storage_account_name) - list_cmd = ('az storage blob list ' - f'--container-name {bucket_name} ' - f'--prefix {shlex.quote(suffix)} ' - f'--account-name {storage_account_name} ' - f'--account-key {storage_account_key}') - return list_cmd - if store_type == storage_lib.StoreType.R2: - endpoint_url = cloudflare.create_endpoint() - if suffix: - url = f's3://{bucket_name}/{suffix}' - else: - url = f's3://{bucket_name}' - return f'AWS_SHARED_CREDENTIALS_FILE={cloudflare.R2_CREDENTIALS_PATH} aws s3 ls {url} --endpoint {endpoint_url} --profile=r2' - if store_type == storage_lib.StoreType.IBM: - bucket_rclone_profile = Rclone.generate_rclone_bucket_profile_name( - bucket_name, Rclone.RcloneClouds.IBM) - return f'rclone ls {bucket_rclone_profile}:{bucket_name}/{suffix}' - - @staticmethod - def cli_region_cmd(store_type, bucket_name=None, storage_account_name=None): - if store_type == storage_lib.StoreType.S3: - assert bucket_name is not None - return ('aws s3api get-bucket-location ' - f'--bucket {bucket_name} --output text') - elif store_type == storage_lib.StoreType.GCS: - assert bucket_name is not None - return (f'gsutil ls -L -b gs://{bucket_name}/ | ' - 'grep "Location constraint" | ' - 'awk \'{print tolower($NF)}\'') - elif store_type == storage_lib.StoreType.AZURE: - # For Azure Blob Storage, the location of the containers are - # determined by the location of storage accounts. - assert storage_account_name is not None - return (f'az storage account show --name {storage_account_name} ' - '--query "primaryLocation" --output tsv') - else: - raise NotImplementedError(f'Region command not implemented for ' - f'{store_type}') - - @staticmethod - def cli_count_name_in_bucket(store_type, - bucket_name, - file_name, - suffix='', - storage_account_name=None): - if store_type == storage_lib.StoreType.S3: - if suffix: - return f'aws s3api list-objects --bucket "{bucket_name}" --prefix {suffix} --query "length(Contents[?contains(Key,\'{file_name}\')].Key)"' - else: - return f'aws s3api list-objects --bucket "{bucket_name}" --query "length(Contents[?contains(Key,\'{file_name}\')].Key)"' - elif store_type == storage_lib.StoreType.GCS: - if suffix: - return f'gsutil ls -r gs://{bucket_name}/{suffix} | grep "{file_name}" | wc -l' - else: - return f'gsutil ls -r gs://{bucket_name} | grep "{file_name}" | wc -l' - elif store_type == storage_lib.StoreType.AZURE: - if storage_account_name is None: - default_region = 'eastus' - storage_account_name = ( - storage_lib.AzureBlobStore.get_default_storage_account_name( - default_region)) - storage_account_key = data_utils.get_az_storage_account_key( - storage_account_name) - return ('az storage blob list ' - f'--container-name {bucket_name} ' - f'--prefix {shlex.quote(suffix)} ' - f'--account-name {storage_account_name} ' - f'--account-key {storage_account_key} | ' - f'grep {file_name} | ' - 'wc -l') - elif store_type == storage_lib.StoreType.R2: - endpoint_url = cloudflare.create_endpoint() - if suffix: - return f'AWS_SHARED_CREDENTIALS_FILE={cloudflare.R2_CREDENTIALS_PATH} aws s3api list-objects --bucket "{bucket_name}" --prefix {suffix} --query "length(Contents[?contains(Key,\'{file_name}\')].Key)" --endpoint {endpoint_url} --profile=r2' - else: - return f'AWS_SHARED_CREDENTIALS_FILE={cloudflare.R2_CREDENTIALS_PATH} aws s3api list-objects --bucket "{bucket_name}" --query "length(Contents[?contains(Key,\'{file_name}\')].Key)" --endpoint {endpoint_url} --profile=r2' - - @staticmethod - def cli_count_file_in_bucket(store_type, bucket_name): - if store_type == storage_lib.StoreType.S3: - return f'aws s3 ls s3://{bucket_name} --recursive | wc -l' - elif store_type == storage_lib.StoreType.GCS: - return f'gsutil ls -r gs://{bucket_name}/** | wc -l' - elif store_type == storage_lib.StoreType.AZURE: - default_region = 'eastus' - storage_account_name = ( - storage_lib.AzureBlobStore.get_default_storage_account_name( - default_region)) - storage_account_key = data_utils.get_az_storage_account_key( - storage_account_name) - return ('az storage blob list ' - f'--container-name {bucket_name} ' - f'--account-name {storage_account_name} ' - f'--account-key {storage_account_key} | ' - 'grep \\"name\\": | ' - 'wc -l') - elif store_type == storage_lib.StoreType.R2: - endpoint_url = cloudflare.create_endpoint() - return f'AWS_SHARED_CREDENTIALS_FILE={cloudflare.R2_CREDENTIALS_PATH} aws s3 ls s3://{bucket_name} --recursive --endpoint {endpoint_url} --profile=r2 | wc -l' - - @pytest.fixture - def tmp_source(self, tmp_path): - # Creates a temporary directory with a file in it - tmp_dir = tmp_path / 'tmp-source' - tmp_dir.mkdir() - tmp_file = tmp_dir / 'tmp-file' - tmp_file.write_text('test') - circle_link = tmp_dir / 'circle-link' - circle_link.symlink_to(tmp_dir, target_is_directory=True) - yield str(tmp_dir) - - @staticmethod - def generate_bucket_name(): - # Creates a temporary bucket name - # time.time() returns varying precision on different systems, so we - # replace the decimal point and use whatever precision we can get. - timestamp = str(time.time()).replace('.', '') - return f'sky-test-{timestamp}' - - @pytest.fixture - def tmp_bucket_name(self): - yield self.generate_bucket_name() - - @staticmethod - def yield_storage_object( - name: Optional[str] = None, - source: Optional[storage_lib.Path] = None, - stores: Optional[Dict[storage_lib.StoreType, - storage_lib.AbstractStore]] = None, - persistent: Optional[bool] = True, - mode: storage_lib.StorageMode = storage_lib.StorageMode.MOUNT): - # Creates a temporary storage object. Stores must be added in the test. - storage_obj = storage_lib.Storage(name=name, - source=source, - stores=stores, - persistent=persistent, - mode=mode) - yield storage_obj - handle = global_user_state.get_handle_from_storage_name( - storage_obj.name) - if handle: - # If handle exists, delete manually - # TODO(romilb): This is potentially risky - if the delete method has - # bugs, this can cause resource leaks. Ideally we should manually - # eject storage from global_user_state and delete the bucket using - # boto3 directly. - storage_obj.delete() - - @pytest.fixture - def tmp_scratch_storage_obj(self, tmp_bucket_name): - # Creates a storage object with no source to create a scratch storage. - # Stores must be added in the test. - yield from self.yield_storage_object(name=tmp_bucket_name) - - @pytest.fixture - def tmp_multiple_scratch_storage_obj(self): - # Creates a list of 5 storage objects with no source to create - # multiple scratch storages. - # Stores for each object in the list must be added in the test. - storage_mult_obj = [] - for _ in range(5): - timestamp = str(time.time()).replace('.', '') - store_obj = storage_lib.Storage(name=f'sky-test-{timestamp}') - storage_mult_obj.append(store_obj) - yield storage_mult_obj - for storage_obj in storage_mult_obj: - handle = global_user_state.get_handle_from_storage_name( - storage_obj.name) - if handle: - # If handle exists, delete manually - # TODO(romilb): This is potentially risky - if the delete method has - # bugs, this can cause resource leaks. Ideally we should manually - # eject storage from global_user_state and delete the bucket using - # boto3 directly. - storage_obj.delete() - - @pytest.fixture - def tmp_multiple_custom_source_storage_obj(self): - # Creates a list of storage objects with custom source names to - # create multiple scratch storages. - # Stores for each object in the list must be added in the test. - custom_source_names = ['"path With Spaces"', 'path With Spaces'] - storage_mult_obj = [] - for name in custom_source_names: - src_path = os.path.expanduser(f'~/{name}') - pathlib.Path(src_path).expanduser().mkdir(exist_ok=True) - timestamp = str(time.time()).replace('.', '') - store_obj = storage_lib.Storage(name=f'sky-test-{timestamp}', - source=src_path) - storage_mult_obj.append(store_obj) - yield storage_mult_obj - for storage_obj in storage_mult_obj: - handle = global_user_state.get_handle_from_storage_name( - storage_obj.name) - if handle: - storage_obj.delete() - - @pytest.fixture - def tmp_local_storage_obj(self, tmp_bucket_name, tmp_source): - # Creates a temporary storage object. Stores must be added in the test. - yield from self.yield_storage_object(name=tmp_bucket_name, - source=tmp_source) - - @pytest.fixture - def tmp_local_list_storage_obj(self, tmp_bucket_name, tmp_source): - # Creates a temp storage object which uses a list of paths as source. - # Stores must be added in the test. After upload, the bucket should - # have two files - /tmp-file and /tmp-source/tmp-file - list_source = [tmp_source, tmp_source + '/tmp-file'] - yield from self.yield_storage_object(name=tmp_bucket_name, - source=list_source) - - @pytest.fixture - def tmp_bulk_del_storage_obj(self, tmp_bucket_name): - # Creates a temporary storage object for testing bulk deletion. - # Stores must be added in the test. - with tempfile.TemporaryDirectory() as tmpdir: - subprocess.check_output(f'mkdir -p {tmpdir}/folder{{000..255}}', - shell=True) - subprocess.check_output(f'touch {tmpdir}/test{{000..255}}.txt', - shell=True) - subprocess.check_output( - f'touch {tmpdir}/folder{{000..255}}/test.txt', shell=True) - yield from self.yield_storage_object(name=tmp_bucket_name, - source=tmpdir) - - @pytest.fixture - def tmp_copy_mnt_existing_storage_obj(self, tmp_scratch_storage_obj): - # Creates a copy mount storage which reuses an existing storage object. - tmp_scratch_storage_obj.add_store(storage_lib.StoreType.S3) - storage_name = tmp_scratch_storage_obj.name - - # Try to initialize another storage with the storage object created - # above, but now in COPY mode. This should succeed. - yield from self.yield_storage_object(name=storage_name, - mode=storage_lib.StorageMode.COPY) - - @pytest.fixture - def tmp_gitignore_storage_obj(self, tmp_bucket_name, gitignore_structure): - # Creates a temporary storage object for testing .gitignore filter. - # GITIGINORE_STRUCTURE is representing a file structure in a dictionary - # format. Created storage object will contain the file structure along - # with .gitignore and .git/info/exclude files to test exclude filter. - # Stores must be added in the test. - with tempfile.TemporaryDirectory() as tmpdir: - # Creates file structure to be uploaded in the Storage - self.create_dir_structure(tmpdir, gitignore_structure) - - # Create .gitignore and list files/dirs to be excluded in it - skypilot_path = os.path.dirname(os.path.dirname(sky.__file__)) - temp_path = f'{tmpdir}/.gitignore' - file_path = os.path.join(skypilot_path, 'tests/gitignore_test') - shutil.copyfile(file_path, temp_path) - - # Create .git/info/exclude and list files/dirs to be excluded in it - temp_path = f'{tmpdir}/.git/info/' - os.makedirs(temp_path) - temp_exclude_path = os.path.join(temp_path, 'exclude') - file_path = os.path.join(skypilot_path, - 'tests/git_info_exclude_test') - shutil.copyfile(file_path, temp_exclude_path) - - # Create sky Storage with the files created - yield from self.yield_storage_object( - name=tmp_bucket_name, - source=tmpdir, - mode=storage_lib.StorageMode.COPY) - - @pytest.fixture - def tmp_awscli_bucket(self, tmp_bucket_name): - # Creates a temporary bucket using awscli - bucket_uri = f's3://{tmp_bucket_name}' - subprocess.check_call(['aws', 's3', 'mb', bucket_uri]) - yield tmp_bucket_name, bucket_uri - subprocess.check_call(['aws', 's3', 'rb', bucket_uri, '--force']) - - @pytest.fixture - def tmp_gsutil_bucket(self, tmp_bucket_name): - # Creates a temporary bucket using gsutil - bucket_uri = f'gs://{tmp_bucket_name}' - subprocess.check_call(['gsutil', 'mb', bucket_uri]) - yield tmp_bucket_name, bucket_uri - subprocess.check_call(['gsutil', 'rm', '-r', bucket_uri]) - - @pytest.fixture - def tmp_az_bucket(self, tmp_bucket_name): - # Creates a temporary bucket using gsutil - default_region = 'eastus' - storage_account_name = ( - storage_lib.AzureBlobStore.get_default_storage_account_name( - default_region)) - storage_account_key = data_utils.get_az_storage_account_key( - storage_account_name) - bucket_uri = data_utils.AZURE_CONTAINER_URL.format( - storage_account_name=storage_account_name, - container_name=tmp_bucket_name) - subprocess.check_call([ - 'az', 'storage', 'container', 'create', '--name', - f'{tmp_bucket_name}', '--account-name', f'{storage_account_name}', - '--account-key', f'{storage_account_key}' - ]) - yield tmp_bucket_name, bucket_uri - subprocess.check_call([ - 'az', 'storage', 'container', 'delete', '--name', - f'{tmp_bucket_name}', '--account-name', f'{storage_account_name}', - '--account-key', f'{storage_account_key}' - ]) - - @pytest.fixture - def tmp_awscli_bucket_r2(self, tmp_bucket_name): - # Creates a temporary bucket using awscli - endpoint_url = cloudflare.create_endpoint() - bucket_uri = f's3://{tmp_bucket_name}' - subprocess.check_call( - f'AWS_SHARED_CREDENTIALS_FILE={cloudflare.R2_CREDENTIALS_PATH} aws s3 mb {bucket_uri} --endpoint {endpoint_url} --profile=r2', - shell=True) - yield tmp_bucket_name, bucket_uri - subprocess.check_call( - f'AWS_SHARED_CREDENTIALS_FILE={cloudflare.R2_CREDENTIALS_PATH} aws s3 rb {bucket_uri} --force --endpoint {endpoint_url} --profile=r2', - shell=True) - - @pytest.fixture - def tmp_ibm_cos_bucket(self, tmp_bucket_name): - # Creates a temporary bucket using IBM COS API - storage_obj = storage_lib.IBMCosStore(source="", name=tmp_bucket_name) - yield tmp_bucket_name - storage_obj.delete() - - @pytest.fixture - def tmp_public_storage_obj(self, request): - # Initializes a storage object with a public bucket - storage_obj = storage_lib.Storage(source=request.param) - yield storage_obj - # This does not require any deletion logic because it is a public bucket - # and should not get added to global_user_state. - - @pytest.mark.no_fluidstack - @pytest.mark.parametrize('store_type', [ - storage_lib.StoreType.S3, storage_lib.StoreType.GCS, - pytest.param(storage_lib.StoreType.AZURE, marks=pytest.mark.azure), - pytest.param(storage_lib.StoreType.IBM, marks=pytest.mark.ibm), - pytest.param(storage_lib.StoreType.R2, marks=pytest.mark.cloudflare) - ]) - def test_new_bucket_creation_and_deletion(self, tmp_local_storage_obj, - store_type): - # Creates a new bucket with a local source, uploads files to it - # and deletes it. - tmp_local_storage_obj.add_store(store_type) - - # Run sky storage ls to check if storage object exists in the output - out = subprocess.check_output(['sky', 'storage', 'ls']) - assert tmp_local_storage_obj.name in out.decode('utf-8') - - # Run sky storage delete to delete the storage object - subprocess.check_output( - ['sky', 'storage', 'delete', tmp_local_storage_obj.name, '--yes']) - - # Run sky storage ls to check if storage object is deleted - out = subprocess.check_output(['sky', 'storage', 'ls']) - assert tmp_local_storage_obj.name not in out.decode('utf-8') - - @pytest.mark.no_fluidstack - @pytest.mark.xdist_group('multiple_bucket_deletion') - @pytest.mark.parametrize('store_type', [ - storage_lib.StoreType.S3, storage_lib.StoreType.GCS, - pytest.param(storage_lib.StoreType.AZURE, marks=pytest.mark.azure), - pytest.param(storage_lib.StoreType.R2, marks=pytest.mark.cloudflare), - pytest.param(storage_lib.StoreType.IBM, marks=pytest.mark.ibm) - ]) - def test_multiple_buckets_creation_and_deletion( - self, tmp_multiple_scratch_storage_obj, store_type): - # Creates multiple new buckets(5 buckets) with a local source - # and deletes them. - storage_obj_name = [] - for store_obj in tmp_multiple_scratch_storage_obj: - store_obj.add_store(store_type) - storage_obj_name.append(store_obj.name) - - # Run sky storage ls to check if all storage objects exists in the - # output filtered by store type - out_all = subprocess.check_output(['sky', 'storage', 'ls']) - out = [ - item.split()[0] - for item in out_all.decode('utf-8').splitlines() - if store_type.value in item - ] - assert all([item in out for item in storage_obj_name]) - - # Run sky storage delete all to delete all storage objects - delete_cmd = ['sky', 'storage', 'delete', '--yes'] - delete_cmd += storage_obj_name - subprocess.check_output(delete_cmd) - - # Run sky storage ls to check if all storage objects filtered by store - # type are deleted - out_all = subprocess.check_output(['sky', 'storage', 'ls']) - out = [ - item.split()[0] - for item in out_all.decode('utf-8').splitlines() - if store_type.value in item - ] - assert all([item not in out for item in storage_obj_name]) - - @pytest.mark.no_fluidstack - @pytest.mark.parametrize('store_type', [ - storage_lib.StoreType.S3, storage_lib.StoreType.GCS, - pytest.param(storage_lib.StoreType.AZURE, marks=pytest.mark.azure), - pytest.param(storage_lib.StoreType.IBM, marks=pytest.mark.ibm), - pytest.param(storage_lib.StoreType.R2, marks=pytest.mark.cloudflare) - ]) - def test_upload_source_with_spaces(self, store_type, - tmp_multiple_custom_source_storage_obj): - # Creates two buckets with specified local sources - # with spaces in the name - storage_obj_names = [] - for storage_obj in tmp_multiple_custom_source_storage_obj: - storage_obj.add_store(store_type) - storage_obj_names.append(storage_obj.name) - - # Run sky storage ls to check if all storage objects exists in the - # output filtered by store type - out_all = subprocess.check_output(['sky', 'storage', 'ls']) - out = [ - item.split()[0] - for item in out_all.decode('utf-8').splitlines() - if store_type.value in item - ] - assert all([item in out for item in storage_obj_names]) - - @pytest.mark.no_fluidstack - @pytest.mark.parametrize('store_type', [ - storage_lib.StoreType.S3, storage_lib.StoreType.GCS, - pytest.param(storage_lib.StoreType.AZURE, marks=pytest.mark.azure), - pytest.param(storage_lib.StoreType.IBM, marks=pytest.mark.ibm), - pytest.param(storage_lib.StoreType.R2, marks=pytest.mark.cloudflare) - ]) - def test_bucket_external_deletion(self, tmp_scratch_storage_obj, - store_type): - # Creates a bucket, deletes it externally using cloud cli commands - # and then tries to delete it using sky storage delete. - tmp_scratch_storage_obj.add_store(store_type) - - # Run sky storage ls to check if storage object exists in the output - out = subprocess.check_output(['sky', 'storage', 'ls']) - assert tmp_scratch_storage_obj.name in out.decode('utf-8') - - # Delete bucket externally - cmd = self.cli_delete_cmd(store_type, tmp_scratch_storage_obj.name) - subprocess.check_output(cmd, shell=True) - - # Run sky storage delete to delete the storage object - out = subprocess.check_output( - ['sky', 'storage', 'delete', tmp_scratch_storage_obj.name, '--yes']) - # Make sure bucket was not created during deletion (see issue #1322) - assert 'created' not in out.decode('utf-8').lower() - - # Run sky storage ls to check if storage object is deleted - out = subprocess.check_output(['sky', 'storage', 'ls']) - assert tmp_scratch_storage_obj.name not in out.decode('utf-8') - - @pytest.mark.no_fluidstack - @pytest.mark.parametrize('store_type', [ - storage_lib.StoreType.S3, storage_lib.StoreType.GCS, - pytest.param(storage_lib.StoreType.AZURE, marks=pytest.mark.azure), - pytest.param(storage_lib.StoreType.IBM, marks=pytest.mark.ibm), - pytest.param(storage_lib.StoreType.R2, marks=pytest.mark.cloudflare) - ]) - def test_bucket_bulk_deletion(self, store_type, tmp_bulk_del_storage_obj): - # Creates a temp folder with over 256 files and folders, upload - # files and folders to a new bucket, then delete bucket. - tmp_bulk_del_storage_obj.add_store(store_type) - - subprocess.check_output([ - 'sky', 'storage', 'delete', tmp_bulk_del_storage_obj.name, '--yes' - ]) - - output = subprocess.check_output(['sky', 'storage', 'ls']) - assert tmp_bulk_del_storage_obj.name not in output.decode('utf-8') - - @pytest.mark.no_fluidstack - @pytest.mark.parametrize( - 'tmp_public_storage_obj, store_type', - [('s3://tcga-2-open', storage_lib.StoreType.S3), - ('s3://digitalcorpora', storage_lib.StoreType.S3), - ('gs://gcp-public-data-sentinel-2', storage_lib.StoreType.GCS), - pytest.param( - 'https://azureopendatastorage.blob.core.windows.net/nyctlc', - storage_lib.StoreType.AZURE, - marks=pytest.mark.azure)], - indirect=['tmp_public_storage_obj']) - def test_public_bucket(self, tmp_public_storage_obj, store_type): - # Creates a new bucket with a public source and verifies that it is not - # added to global_user_state. - tmp_public_storage_obj.add_store(store_type) - - # Run sky storage ls to check if storage object exists in the output - out = subprocess.check_output(['sky', 'storage', 'ls']) - assert tmp_public_storage_obj.name not in out.decode('utf-8') - - @pytest.mark.no_fluidstack - @pytest.mark.parametrize( - 'nonexist_bucket_url', - [ - 's3://{random_name}', - 'gs://{random_name}', - pytest.param( - 'https://{account_name}.blob.core.windows.net/{random_name}', # pylint: disable=line-too-long - marks=pytest.mark.azure), - pytest.param('cos://us-east/{random_name}', marks=pytest.mark.ibm), - pytest.param('r2://{random_name}', marks=pytest.mark.cloudflare) - ]) - def test_nonexistent_bucket(self, nonexist_bucket_url): - # Attempts to create fetch a stroage with a non-existent source. - # Generate a random bucket name and verify it doesn't exist: - retry_count = 0 - while True: - nonexist_bucket_name = str(uuid.uuid4()) - if nonexist_bucket_url.startswith('s3'): - command = f'aws s3api head-bucket --bucket {nonexist_bucket_name}' - expected_output = '404' - elif nonexist_bucket_url.startswith('gs'): - command = f'gsutil ls {nonexist_bucket_url.format(random_name=nonexist_bucket_name)}' - expected_output = 'BucketNotFoundException' - elif nonexist_bucket_url.startswith('https'): - default_region = 'eastus' - storage_account_name = ( - storage_lib.AzureBlobStore.get_default_storage_account_name( - default_region)) - storage_account_key = data_utils.get_az_storage_account_key( - storage_account_name) - command = f'az storage container exists --account-name {storage_account_name} --account-key {storage_account_key} --name {nonexist_bucket_name}' - expected_output = '"exists": false' - elif nonexist_bucket_url.startswith('r2'): - endpoint_url = cloudflare.create_endpoint() - command = f'AWS_SHARED_CREDENTIALS_FILE={cloudflare.R2_CREDENTIALS_PATH} aws s3api head-bucket --bucket {nonexist_bucket_name} --endpoint {endpoint_url} --profile=r2' - expected_output = '404' - elif nonexist_bucket_url.startswith('cos'): - # Using API calls, since using rclone requires a profile's name - try: - expected_output = command = "echo" # avoid unrelated exception in case of failure. - bucket_name = urllib.parse.urlsplit( - nonexist_bucket_url.format( - random_name=nonexist_bucket_name)).path.strip('/') - client = ibm.get_cos_client('us-east') - client.head_bucket(Bucket=bucket_name) - except ibm.ibm_botocore.exceptions.ClientError as e: - if e.response['Error']['Code'] == '404': - # success - return - else: - raise ValueError('Unsupported bucket type ' - f'{nonexist_bucket_url}') - - # Check if bucket exists using the cli: - try: - out = subprocess.check_output(command, - stderr=subprocess.STDOUT, - shell=True) - except subprocess.CalledProcessError as e: - out = e.output - out = out.decode('utf-8') - if expected_output in out: - break - else: - retry_count += 1 - if retry_count > 3: - raise RuntimeError('Unable to find a nonexistent bucket ' - 'to use. This is higly unlikely - ' - 'check if the tests are correct.') - - with pytest.raises(sky.exceptions.StorageBucketGetError, - match='Attempted to use a non-existent'): - if nonexist_bucket_url.startswith('https'): - storage_obj = storage_lib.Storage( - source=nonexist_bucket_url.format( - account_name=storage_account_name, - random_name=nonexist_bucket_name)) - else: - storage_obj = storage_lib.Storage( - source=nonexist_bucket_url.format( - random_name=nonexist_bucket_name)) - - @pytest.mark.no_fluidstack - @pytest.mark.parametrize( - 'private_bucket', - [ - f's3://imagenet', - f'gs://imagenet', - pytest.param('https://smoketestprivate.blob.core.windows.net/test', - marks=pytest.mark.azure), # pylint: disable=line-too-long - pytest.param('cos://us-east/bucket1', marks=pytest.mark.ibm) - ]) - def test_private_bucket(self, private_bucket): - # Attempts to access private buckets not belonging to the user. - # These buckets are known to be private, but may need to be updated if - # they are removed by their owners. - store_type = urllib.parse.urlsplit(private_bucket).scheme - if store_type == 'https' or store_type == 'cos': - private_bucket_name = urllib.parse.urlsplit( - private_bucket).path.strip('/') - else: - private_bucket_name = urllib.parse.urlsplit(private_bucket).netloc - with pytest.raises( - sky.exceptions.StorageBucketGetError, - match=storage_lib._BUCKET_FAIL_TO_CONNECT_MESSAGE.format( - name=private_bucket_name)): - storage_obj = storage_lib.Storage(source=private_bucket) - - @pytest.mark.no_fluidstack - @pytest.mark.parametrize('ext_bucket_fixture, store_type', - [('tmp_awscli_bucket', storage_lib.StoreType.S3), - ('tmp_gsutil_bucket', storage_lib.StoreType.GCS), - pytest.param('tmp_az_bucket', - storage_lib.StoreType.AZURE, - marks=pytest.mark.azure), - pytest.param('tmp_ibm_cos_bucket', - storage_lib.StoreType.IBM, - marks=pytest.mark.ibm), - pytest.param('tmp_awscli_bucket_r2', - storage_lib.StoreType.R2, - marks=pytest.mark.cloudflare)]) - def test_upload_to_existing_bucket(self, ext_bucket_fixture, request, - tmp_source, store_type): - # Tries uploading existing files to newly created bucket (outside of - # sky) and verifies that files are written. - bucket_name, _ = request.getfixturevalue(ext_bucket_fixture) - storage_obj = storage_lib.Storage(name=bucket_name, source=tmp_source) - storage_obj.add_store(store_type) - - # Check if tmp_source/tmp-file exists in the bucket using aws cli - out = subprocess.check_output(self.cli_ls_cmd(store_type, bucket_name), - shell=True) - assert 'tmp-file' in out.decode('utf-8'), \ - 'File not found in bucket - output was : {}'.format(out.decode - ('utf-8')) - - # Check symlinks - symlinks don't get copied by sky storage - assert (pathlib.Path(tmp_source) / 'circle-link').is_symlink(), ( - 'circle-link was not found in the upload source - ' - 'are the test fixtures correct?') - assert 'circle-link' not in out.decode('utf-8'), ( - 'Symlink found in bucket - ls output was : {}'.format( - out.decode('utf-8'))) - - # Run sky storage ls to check if storage object exists in the output. - # It should not exist because the bucket was created externally. - out = subprocess.check_output(['sky', 'storage', 'ls']) - assert storage_obj.name not in out.decode('utf-8') - - @pytest.mark.no_fluidstack - def test_copy_mount_existing_storage(self, - tmp_copy_mnt_existing_storage_obj): - # Creates a bucket with no source in MOUNT mode (empty bucket), and - # then tries to load the same storage in COPY mode. - tmp_copy_mnt_existing_storage_obj.add_store(storage_lib.StoreType.S3) - storage_name = tmp_copy_mnt_existing_storage_obj.name - - # Check `sky storage ls` to ensure storage object exists - out = subprocess.check_output(['sky', 'storage', 'ls']).decode('utf-8') - assert storage_name in out, f'Storage {storage_name} not found in sky storage ls.' - - @pytest.mark.no_fluidstack - @pytest.mark.parametrize('store_type', [ - storage_lib.StoreType.S3, storage_lib.StoreType.GCS, - pytest.param(storage_lib.StoreType.AZURE, marks=pytest.mark.azure), - pytest.param(storage_lib.StoreType.IBM, marks=pytest.mark.ibm), - pytest.param(storage_lib.StoreType.R2, marks=pytest.mark.cloudflare) - ]) - def test_list_source(self, tmp_local_list_storage_obj, store_type): - # Uses a list in the source field to specify a file and a directory to - # be uploaded to the storage object. - tmp_local_list_storage_obj.add_store(store_type) - - # Check if tmp-file exists in the bucket root using cli - out = subprocess.check_output(self.cli_ls_cmd( - store_type, tmp_local_list_storage_obj.name), - shell=True) - assert 'tmp-file' in out.decode('utf-8'), \ - 'File not found in bucket - output was : {}'.format(out.decode - ('utf-8')) - - # Check if tmp-file exists in the bucket/tmp-source using cli - out = subprocess.check_output(self.cli_ls_cmd( - store_type, tmp_local_list_storage_obj.name, 'tmp-source/'), - shell=True) - assert 'tmp-file' in out.decode('utf-8'), \ - 'File not found in bucket - output was : {}'.format(out.decode - ('utf-8')) - - @pytest.mark.no_fluidstack - @pytest.mark.parametrize('invalid_name_list, store_type', - [(AWS_INVALID_NAMES, storage_lib.StoreType.S3), - (GCS_INVALID_NAMES, storage_lib.StoreType.GCS), - pytest.param(AZURE_INVALID_NAMES, - storage_lib.StoreType.AZURE, - marks=pytest.mark.azure), - pytest.param(IBM_INVALID_NAMES, - storage_lib.StoreType.IBM, - marks=pytest.mark.ibm), - pytest.param(AWS_INVALID_NAMES, - storage_lib.StoreType.R2, - marks=pytest.mark.cloudflare)]) - def test_invalid_names(self, invalid_name_list, store_type): - # Uses a list in the source field to specify a file and a directory to - # be uploaded to the storage object. - for name in invalid_name_list: - with pytest.raises(sky.exceptions.StorageNameError): - storage_obj = storage_lib.Storage(name=name) - storage_obj.add_store(store_type) - - @pytest.mark.no_fluidstack - @pytest.mark.parametrize( - 'gitignore_structure, store_type', - [(GITIGNORE_SYNC_TEST_DIR_STRUCTURE, storage_lib.StoreType.S3), - (GITIGNORE_SYNC_TEST_DIR_STRUCTURE, storage_lib.StoreType.GCS), - (GITIGNORE_SYNC_TEST_DIR_STRUCTURE, storage_lib.StoreType.AZURE), - pytest.param(GITIGNORE_SYNC_TEST_DIR_STRUCTURE, - storage_lib.StoreType.R2, - marks=pytest.mark.cloudflare)]) - def test_excluded_file_cloud_storage_upload_copy(self, gitignore_structure, - store_type, - tmp_gitignore_storage_obj): - # tests if files included in .gitignore and .git/info/exclude are - # excluded from being transferred to Storage - - tmp_gitignore_storage_obj.add_store(store_type) - - upload_file_name = 'included' - # Count the number of files with the given file name - up_cmd = self.cli_count_name_in_bucket(store_type, \ - tmp_gitignore_storage_obj.name, file_name=upload_file_name) - git_exclude_cmd = self.cli_count_name_in_bucket(store_type, \ - tmp_gitignore_storage_obj.name, file_name='.git') - cnt_num_file_cmd = self.cli_count_file_in_bucket( - store_type, tmp_gitignore_storage_obj.name) - - up_output = subprocess.check_output(up_cmd, shell=True) - git_exclude_output = subprocess.check_output(git_exclude_cmd, - shell=True) - cnt_output = subprocess.check_output(cnt_num_file_cmd, shell=True) - - assert '3' in up_output.decode('utf-8'), \ - 'Files to be included are not completely uploaded.' - # 1 is read as .gitignore is uploaded - assert '1' in git_exclude_output.decode('utf-8'), \ - '.git directory should not be uploaded.' - # 4 files include .gitignore, included.log, included.txt, include_dir/included.log - assert '4' in cnt_output.decode('utf-8'), \ - 'Some items listed in .gitignore and .git/info/exclude are not excluded.' - - @pytest.mark.parametrize('ext_bucket_fixture, store_type', - [('tmp_awscli_bucket', storage_lib.StoreType.S3), - ('tmp_gsutil_bucket', storage_lib.StoreType.GCS), - pytest.param('tmp_awscli_bucket_r2', - storage_lib.StoreType.R2, - marks=pytest.mark.cloudflare)]) - def test_externally_created_bucket_mount_without_source( - self, ext_bucket_fixture, request, store_type): - # Non-sky managed buckets(buckets created outside of Skypilot CLI) - # are allowed to be MOUNTed by specifying the URI of the bucket to - # source field only. When it is attempted by specifying the name of - # the bucket only, it should error out. - # - # TODO(doyoung): Add test for IBM COS. Currently, this is blocked - # as rclone used to interact with IBM COS does not support feature to - # create a bucket, and the ibmcloud CLI is not supported in Skypilot. - # Either of the feature is necessary to simulate an external bucket - # creation for IBM COS. - # https://github.com/skypilot-org/skypilot/pull/1966/files#r1253439837 - - ext_bucket_name, ext_bucket_uri = request.getfixturevalue( - ext_bucket_fixture) - # invalid spec - with pytest.raises(sky.exceptions.StorageSpecError) as e: - storage_obj = storage_lib.Storage( - name=ext_bucket_name, mode=storage_lib.StorageMode.MOUNT) - storage_obj.add_store(store_type) - - assert 'Attempted to mount a non-sky managed bucket' in str(e) - - # valid spec - storage_obj = storage_lib.Storage(source=ext_bucket_uri, - mode=storage_lib.StorageMode.MOUNT) - handle = global_user_state.get_handle_from_storage_name( - storage_obj.name) - if handle: - storage_obj.delete() - - @pytest.mark.no_fluidstack - @pytest.mark.parametrize('region', [ - 'ap-northeast-1', 'ap-northeast-2', 'ap-northeast-3', 'ap-south-1', - 'ap-southeast-1', 'ap-southeast-2', 'eu-central-1', 'eu-north-1', - 'eu-west-1', 'eu-west-2', 'eu-west-3', 'sa-east-1', 'us-east-1', - 'us-east-2', 'us-west-1', 'us-west-2' - ]) - def test_aws_regions(self, tmp_local_storage_obj, region): - # This tests creation and upload to bucket in all AWS s3 regions - # To test full functionality, use test_managed_jobs_storage above. - store_type = storage_lib.StoreType.S3 - tmp_local_storage_obj.add_store(store_type, region=region) - bucket_name = tmp_local_storage_obj.name - - # Confirm that the bucket was created in the correct region - region_cmd = self.cli_region_cmd(store_type, bucket_name=bucket_name) - out = subprocess.check_output(region_cmd, shell=True) - output = out.decode('utf-8') - expected_output_region = region - if region == 'us-east-1': - expected_output_region = 'None' # us-east-1 is the default region - assert expected_output_region in out.decode('utf-8'), ( - f'Bucket was not found in region {region} - ' - f'output of {region_cmd} was: {output}') - - # Check if tmp_source/tmp-file exists in the bucket using cli - ls_cmd = self.cli_ls_cmd(store_type, bucket_name) - out = subprocess.check_output(ls_cmd, shell=True) - output = out.decode('utf-8') - assert 'tmp-file' in output, ( - f'tmp-file not found in bucket - output of {ls_cmd} was: {output}') - - @pytest.mark.no_fluidstack - @pytest.mark.parametrize('region', [ - 'northamerica-northeast1', 'northamerica-northeast2', 'us-central1', - 'us-east1', 'us-east4', 'us-east5', 'us-south1', 'us-west1', 'us-west2', - 'us-west3', 'us-west4', 'southamerica-east1', 'southamerica-west1', - 'europe-central2', 'europe-north1', 'europe-southwest1', 'europe-west1', - 'europe-west2', 'europe-west3', 'europe-west4', 'europe-west6', - 'europe-west8', 'europe-west9', 'europe-west10', 'europe-west12', - 'asia-east1', 'asia-east2', 'asia-northeast1', 'asia-northeast2', - 'asia-northeast3', 'asia-southeast1', 'asia-south1', 'asia-south2', - 'asia-southeast2', 'me-central1', 'me-central2', 'me-west1', - 'australia-southeast1', 'australia-southeast2', 'africa-south1' - ]) - def test_gcs_regions(self, tmp_local_storage_obj, region): - # This tests creation and upload to bucket in all GCS regions - # To test full functionality, use test_managed_jobs_storage above. - store_type = storage_lib.StoreType.GCS - tmp_local_storage_obj.add_store(store_type, region=region) - bucket_name = tmp_local_storage_obj.name - - # Confirm that the bucket was created in the correct region - region_cmd = self.cli_region_cmd(store_type, bucket_name=bucket_name) - out = subprocess.check_output(region_cmd, shell=True) - output = out.decode('utf-8') - assert region in out.decode('utf-8'), ( - f'Bucket was not found in region {region} - ' - f'output of {region_cmd} was: {output}') - - # Check if tmp_source/tmp-file exists in the bucket using cli - ls_cmd = self.cli_ls_cmd(store_type, bucket_name) - out = subprocess.check_output(ls_cmd, shell=True) - output = out.decode('utf-8') - assert 'tmp-file' in output, ( - f'tmp-file not found in bucket - output of {ls_cmd} was: {output}') - - -# ---------- Testing YAML Specs ---------- -# Our sky storage requires credentials to check the bucket existance when -# loading a task from the yaml file, so we cannot make it a unit test. -class TestYamlSpecs: - # TODO(zhwu): Add test for `to_yaml_config` for the Storage object. - # We should not use `examples/storage_demo.yaml` here, since it requires - # users to ensure bucket names to not exist and/or be unique. - _TEST_YAML_PATHS = [ - 'examples/minimal.yaml', 'examples/managed_job.yaml', - 'examples/using_file_mounts.yaml', 'examples/resnet_app.yaml', - 'examples/multi_hostname.yaml' - ] - - def _is_dict_subset(self, d1, d2): - """Check if d1 is the subset of d2.""" - for k, v in d1.items(): - if k not in d2: - if isinstance(v, list) or isinstance(v, dict): - assert len(v) == 0, (k, v) - else: - assert False, (k, v) - elif isinstance(v, dict): - assert isinstance(d2[k], dict), (k, v, d2) - self._is_dict_subset(v, d2[k]) - elif isinstance(v, str): - if k == 'accelerators': - resources = sky.Resources() - resources._set_accelerators(v, None) - assert resources.accelerators == d2[k], (k, v, d2) - else: - assert v.lower() == d2[k].lower(), (k, v, d2[k]) - else: - assert v == d2[k], (k, v, d2[k]) - - def _check_equivalent(self, yaml_path): - """Check if the yaml is equivalent after load and dump again.""" - origin_task_config = common_utils.read_yaml(yaml_path) - - task = sky.Task.from_yaml(yaml_path) - new_task_config = task.to_yaml_config() - # d1 <= d2 - print(origin_task_config, new_task_config) - self._is_dict_subset(origin_task_config, new_task_config) - - def test_load_dump_yaml_config_equivalent(self): - """Test if the yaml config is equivalent after load and dump again.""" - pathlib.Path('~/datasets').expanduser().mkdir(exist_ok=True) - pathlib.Path('~/tmpfile').expanduser().touch() - pathlib.Path('~/.ssh').expanduser().mkdir(exist_ok=True) - pathlib.Path('~/.ssh/id_rsa.pub').expanduser().touch() - pathlib.Path('~/tmp-workdir').expanduser().mkdir(exist_ok=True) - pathlib.Path('~/Downloads/tpu').expanduser().mkdir(parents=True, - exist_ok=True) - for yaml_path in self._TEST_YAML_PATHS: - self._check_equivalent(yaml_path) - - -# ---------- Testing Multiple Accelerators ---------- -@pytest.mark.no_fluidstack # Fluidstack does not support K80 gpus for now -@pytest.mark.no_paperspace # Paperspace does not support K80 gpus -def test_multiple_accelerators_ordered(): - name = _get_cluster_name() - test = Test( - 'multiple-accelerators-ordered', - [ - f'sky launch -y -c {name} tests/test_yamls/test_multiple_accelerators_ordered.yaml | grep "Using user-specified accelerators list"', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - ], - f'sky down -y {name}', - timeout=20 * 60, - ) - run_one_test(test) - - -@pytest.mark.no_fluidstack # Fluidstack has low availability for T4 GPUs -@pytest.mark.no_paperspace # Paperspace does not support T4 GPUs -def test_multiple_accelerators_ordered_with_default(): - name = _get_cluster_name() - test = Test( - 'multiple-accelerators-ordered', - [ - f'sky launch -y -c {name} tests/test_yamls/test_multiple_accelerators_ordered_with_default.yaml | grep "Using user-specified accelerators list"', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky status {name} | grep Spot', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.no_fluidstack # Fluidstack has low availability for T4 GPUs -@pytest.mark.no_paperspace # Paperspace does not support T4 GPUs -def test_multiple_accelerators_unordered(): - name = _get_cluster_name() - test = Test( - 'multiple-accelerators-unordered', - [ - f'sky launch -y -c {name} tests/test_yamls/test_multiple_accelerators_unordered.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.no_fluidstack # Fluidstack has low availability for T4 GPUs -@pytest.mark.no_paperspace # Paperspace does not support T4 GPUs -def test_multiple_accelerators_unordered_with_default(): - name = _get_cluster_name() - test = Test( - 'multiple-accelerators-unordered-with-default', - [ - f'sky launch -y -c {name} tests/test_yamls/test_multiple_accelerators_unordered_with_default.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - f'sky status {name} | grep Spot', - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -@pytest.mark.no_fluidstack # Requires other clouds to be enabled -def test_multiple_resources(): - name = _get_cluster_name() - test = Test( - 'multiple-resources', - [ - f'sky launch -y -c {name} tests/test_yamls/test_multiple_resources.yaml', - f'sky logs {name} 1 --status', # Ensure the job succeeded. - ], - f'sky down -y {name}', - ) - run_one_test(test) - - -# ---------- Sky Benchmark ---------- -@pytest.mark.no_fluidstack # Requires other clouds to be enabled -@pytest.mark.no_paperspace # Requires other clouds to be enabled -@pytest.mark.no_kubernetes -@pytest.mark.aws # SkyBenchmark requires S3 access -def test_sky_bench(generic_cloud: str): - name = _get_cluster_name() - test = Test( - 'sky-bench', - [ - f'sky bench launch -y -b {name} --cloud {generic_cloud} -i0 tests/test_yamls/minimal.yaml', - 'sleep 120', - f'sky bench show {name} | grep sky-bench-{name} | grep FINISHED', - ], - f'sky bench down {name} -y; sky bench delete {name} -y', - ) - run_one_test(test) - - -@pytest.mark.kubernetes -def test_kubernetes_context_failover(): - """Test if the kubernetes context failover works. - - This test requires two kubernetes clusters: - - kind-skypilot: the local cluster with mock labels for 8 H100 GPUs. - - another accessible cluster: with enough CPUs - To start the first cluster, run: - sky local up - # Add mock label for accelerator - kubectl label node --overwrite skypilot-control-plane skypilot.co/accelerator=h100 --context kind-skypilot - # Get the token for the cluster in context kind-skypilot - TOKEN=$(kubectl config view --minify --context kind-skypilot -o jsonpath=\'{.users[0].user.token}\') - # Get the API URL for the cluster in context kind-skypilot - API_URL=$(kubectl config view --minify --context kind-skypilot -o jsonpath=\'{.clusters[0].cluster.server}\') - # Add mock capacity for GPU - curl --header "Content-Type: application/json-patch+json" --header "Authorization: Bearer $TOKEN" --request PATCH --data \'[{"op": "add", "path": "/status/capacity/nvidia.com~1gpu", "value": "8"}]\' "$API_URL/api/v1/nodes/skypilot-control-plane/status" - # Add a new namespace to test the handling of namespaces - kubectl create namespace test-namespace --context kind-skypilot - # Set the namespace to test-namespace - kubectl config set-context kind-skypilot --namespace=test-namespace --context kind-skypilot - """ - # Get context that is not kind-skypilot - contexts = subprocess.check_output('kubectl config get-contexts -o name', - shell=True).decode('utf-8').split('\n') - context = [context for context in contexts if context != 'kind-skypilot'][0] - config = textwrap.dedent(f"""\ - kubernetes: - allowed_contexts: - - kind-skypilot - - {context} - """) - with tempfile.NamedTemporaryFile(delete=True) as f: - f.write(config.encode('utf-8')) - f.flush() - name = _get_cluster_name() - test = Test( - 'kubernetes-context-failover', - [ - # Check if kind-skypilot is provisioned with H100 annotations already - 'NODE_INFO=$(kubectl get nodes -o yaml --context kind-skypilot) && ' - 'echo "$NODE_INFO" | grep nvidia.com/gpu | grep 8 && ' - 'echo "$NODE_INFO" | grep skypilot.co/accelerator | grep h100 || ' - '{ echo "kind-skypilot does not exist ' - 'or does not have mock labels for GPUs. Check the instructions in ' - 'tests/test_smoke.py::test_kubernetes_context_failover." && exit 1; }', - # Check namespace for kind-skypilot is test-namespace - 'kubectl get namespaces --context kind-skypilot | grep test-namespace || ' - '{ echo "Should set the namespace to test-namespace for kind-skypilot. Check the instructions in ' - 'tests/test_smoke.py::test_kubernetes_context_failover." && exit 1; }', - 'sky show-gpus --cloud kubernetes --region kind-skypilot | grep H100 | grep "1, 2, 3, 4, 5, 6, 7, 8"', - # Get contexts and set current context to the other cluster that is not kind-skypilot - f'kubectl config use-context {context}', - # H100 should not in the current context - '! sky show-gpus --cloud kubernetes | grep H100', - f'sky launch -y -c {name}-1 --cpus 1 echo hi', - f'sky logs {name}-1 --status', - # It should be launched not on kind-skypilot - f'sky status -a {name}-1 | grep "{context}"', - # Test failure for launching H100 on other cluster - f'sky launch -y -c {name}-2 --gpus H100 --cpus 1 --cloud kubernetes --region {context} echo hi && exit 1 || true', - # Test failover - f'sky launch -y -c {name}-3 --gpus H100 --cpus 1 --cloud kubernetes echo hi', - f'sky logs {name}-3 --status', - # Test pods - f'kubectl get pods --context kind-skypilot | grep "{name}-3"', - # It should be launched on kind-skypilot - f'sky status -a {name}-3 | grep "kind-skypilot"', - # Should be 7 free GPUs - f'sky show-gpus --cloud kubernetes --region kind-skypilot | grep H100 | grep " 7"', - # Remove the line with "kind-skypilot" - f'sed -i "/kind-skypilot/d" {f.name}', - # Should still be able to exec and launch on existing cluster - f'sky exec {name}-3 "echo hi"', - f'sky logs {name}-3 --status', - f'sky status -r {name}-3 | grep UP', - f'sky launch -c {name}-3 --gpus h100 echo hi', - f'sky logs {name}-3 --status', - f'sky status -r {name}-3 | grep UP', - ], - f'sky down -y {name}-1 {name}-3', - env={'SKYPILOT_CONFIG': f.name}, - ) - run_one_test(test) +from smoke_tests.test_basic import * +from smoke_tests.test_cluster_job import * +from smoke_tests.test_images import * +from smoke_tests.test_managed_job import * +from smoke_tests.test_mount_and_storage import * +from smoke_tests.test_region_and_zone import * +from smoke_tests.test_sky_serve import * diff --git a/tests/test_yamls/minimal_test_pre_merge.yaml b/tests/test_yamls/minimal_test_pre_merge.yaml new file mode 100644 index 00000000000..583575bee5c --- /dev/null +++ b/tests/test_yamls/minimal_test_pre_merge.yaml @@ -0,0 +1,13 @@ +resources: + cloud: aws + instance_type: t3.small + +file_mounts: + ~/aws: . + +workdir: . + +num_nodes: 1 + +run: | + ls -l ~/aws/tests/test_yamls/minimal_test_pre_merge.yaml From ed8e694457b5a50cbb61dc58bef155838ff97b3e Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Thu, 12 Dec 2024 18:41:29 -0800 Subject: [PATCH 141/152] [k8s] Make node termination robust (#4469) * Add limits only if they exist * retry deletion * lint * lint * comments * lint --- sky/provision/kubernetes/instance.py | 71 +++++++++++++++++++++------- 1 file changed, 53 insertions(+), 18 deletions(-) diff --git a/sky/provision/kubernetes/instance.py b/sky/provision/kubernetes/instance.py index 2b13e78fdf8..11e3d2d80ad 100644 --- a/sky/provision/kubernetes/instance.py +++ b/sky/provision/kubernetes/instance.py @@ -879,27 +879,62 @@ def _terminate_node(namespace: str, context: Optional[str], pod_name: str) -> None: """Terminate a pod.""" logger.debug('terminate_instances: calling delete_namespaced_pod') - try: - kubernetes.core_api(context).delete_namespaced_service( - pod_name, namespace, _request_timeout=config_lib.DELETION_TIMEOUT) - kubernetes.core_api(context).delete_namespaced_service( - f'{pod_name}-ssh', - namespace, - _request_timeout=config_lib.DELETION_TIMEOUT) - except kubernetes.api_exception(): - pass + + def _delete_k8s_resource_with_retry(delete_func: Callable, + resource_type: str, + resource_name: str) -> None: + """Helper to delete Kubernetes resources with 404 handling and retries. + + Args: + delete_func: Function to call to delete the resource + resource_type: Type of resource being deleted (e.g. 'service'), + used in logging + resource_name: Name of the resource being deleted, used in logging + """ + max_retries = 3 + retry_delay = 5 # seconds + + for attempt in range(max_retries): + try: + delete_func() + return + except kubernetes.api_exception() as e: + if e.status == 404: + logger.warning( + f'terminate_instances: Tried to delete {resource_type} ' + f'{resource_name}, but the {resource_type} was not ' + 'found (404).') + return + elif attempt < max_retries - 1: + logger.warning(f'terminate_instances: Failed to delete ' + f'{resource_type} {resource_name} (attempt ' + f'{attempt + 1}/{max_retries}). Error: {e}. ' + f'Retrying in {retry_delay} seconds...') + time.sleep(retry_delay) + else: + raise + + # Delete services for the pod + for service_name in [pod_name, f'{pod_name}-ssh']: + _delete_k8s_resource_with_retry( + delete_func=lambda name=service_name: kubernetes.core_api( + context).delete_namespaced_service(name=name, + namespace=namespace, + _request_timeout=config_lib. + DELETION_TIMEOUT), + resource_type='service', + resource_name=service_name) + # Note - delete pod after all other resources are deleted. # This is to ensure there are no leftover resources if this down is run # from within the pod, e.g., for autodown. - try: - kubernetes.core_api(context).delete_namespaced_pod( - pod_name, namespace, _request_timeout=config_lib.DELETION_TIMEOUT) - except kubernetes.api_exception() as e: - if e.status == 404: - logger.warning('terminate_instances: Tried to delete pod ' - f'{pod_name}, but the pod was not found (404).') - else: - raise + _delete_k8s_resource_with_retry( + delete_func=lambda: kubernetes.core_api(context).delete_namespaced_pod( + name=pod_name, + namespace=namespace, + _request_timeout=config_lib.DELETION_TIMEOUT), + resource_type='pod', + resource_name=pod_name) def terminate_instances( From 346646949beead6d93f793851e959da4b56246b0 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Fri, 13 Dec 2024 11:33:05 -0800 Subject: [PATCH 142/152] [Catalog] Bump catalog schema version (#4470) * Bump catalog schema version * trigger CI --- sky/clouds/service_catalog/constants.py | 2 +- sky/clouds/service_catalog/gcp_catalog.py | 4 +++- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/sky/clouds/service_catalog/constants.py b/sky/clouds/service_catalog/constants.py index 1373fd86a03..a125258ac35 100644 --- a/sky/clouds/service_catalog/constants.py +++ b/sky/clouds/service_catalog/constants.py @@ -1,6 +1,6 @@ """Constants used for service catalog.""" HOSTED_CATALOG_DIR_URL = 'https://raw.githubusercontent.com/skypilot-org/skypilot-catalog/master/catalogs' # pylint: disable=line-too-long -CATALOG_SCHEMA_VERSION = 'v5' +CATALOG_SCHEMA_VERSION = 'v6' CATALOG_DIR = '~/.sky/catalogs' ALL_CLOUDS = ('aws', 'azure', 'gcp', 'ibm', 'lambda', 'scp', 'oci', 'kubernetes', 'runpod', 'vsphere', 'cudo', 'fluidstack', diff --git a/sky/clouds/service_catalog/gcp_catalog.py b/sky/clouds/service_catalog/gcp_catalog.py index 8521f6786cc..a83e00d8196 100644 --- a/sky/clouds/service_catalog/gcp_catalog.py +++ b/sky/clouds/service_catalog/gcp_catalog.py @@ -292,7 +292,9 @@ def get_instance_type_for_accelerator( if acc_name in _ACC_INSTANCE_TYPE_DICTS: df = _df[_df['InstanceType'].notna()] - instance_types = _ACC_INSTANCE_TYPE_DICTS[acc_name][acc_count] + instance_types = _ACC_INSTANCE_TYPE_DICTS[acc_name].get(acc_count, None) + if instance_types is None: + return None, [] df = df[df['InstanceType'].isin(instance_types)] # Check the cpus and memory specified by the user. From f76db0d51d351e4729778a043a0a317bf622c729 Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Mon, 16 Dec 2024 09:59:43 -0800 Subject: [PATCH 143/152] [core] skip provider.availability_zone in the cluster config hash (#4463) skip provider.availability_zone in the cluster config hash --- sky/backends/backend_utils.py | 36 ++++++++++++++++++++++++++++++++--- 1 file changed, 33 insertions(+), 3 deletions(-) diff --git a/sky/backends/backend_utils.py b/sky/backends/backend_utils.py index a3651bdba9a..0f55b8a7f17 100644 --- a/sky/backends/backend_utils.py +++ b/sky/backends/backend_utils.py @@ -173,6 +173,16 @@ ('available_node_types', 'ray.head.default', 'node_config', 'azure_arm_parameters', 'cloudInitSetupCommands'), ] +# These keys are expected to change when provisioning on an existing cluster, +# but they don't actually represent a change that requires re-provisioning the +# cluster. If the cluster yaml is the same except for these keys, we can safely +# skip reprovisioning. See _deterministic_cluster_yaml_hash. +_RAY_YAML_KEYS_TO_REMOVE_FOR_HASH = [ + # On first launch, availability_zones will include all possible zones. Once + # the cluster exists, it will only include the zone that the cluster is + # actually in. + ('provider', 'availability_zone'), +] def is_ip(s: str) -> bool: @@ -1087,7 +1097,7 @@ def _deterministic_cluster_yaml_hash(yaml_path: str) -> str: yaml file and all the files in the file mounts, then hash the byte sequence. The format of the byte sequence is: - 32 bytes - sha256 hash of the yaml file + 32 bytes - sha256 hash of the yaml for each file mount: file mount remote destination (UTF-8), \0 if the file mount source is a file: @@ -1111,14 +1121,29 @@ def _deterministic_cluster_yaml_hash(yaml_path: str) -> str: we construct it incrementally by using hash.update() to add new bytes. """ + # Load the yaml contents so that we can directly remove keys. + yaml_config = common_utils.read_yaml(yaml_path) + for key_list in _RAY_YAML_KEYS_TO_REMOVE_FOR_HASH: + dict_to_remove_from = yaml_config + found_key = True + for key in key_list[:-1]: + if (not isinstance(dict_to_remove_from, dict) or + key not in dict_to_remove_from): + found_key = False + break + dict_to_remove_from = dict_to_remove_from[key] + if found_key and key_list[-1] in dict_to_remove_from: + dict_to_remove_from.pop(key_list[-1]) + def _hash_file(path: str) -> bytes: return common_utils.hash_file(path, 'sha256').digest() config_hash = hashlib.sha256() - config_hash.update(_hash_file(yaml_path)) + yaml_hash = hashlib.sha256( + common_utils.dump_yaml_str(yaml_config).encode('utf-8')) + config_hash.update(yaml_hash.digest()) - yaml_config = common_utils.read_yaml(yaml_path) file_mounts = yaml_config.get('file_mounts', {}) # Remove the file mounts added by the newline. if '' in file_mounts: @@ -1126,6 +1151,11 @@ def _hash_file(path: str) -> bytes: file_mounts.pop('') for dst, src in sorted(file_mounts.items()): + if src == yaml_path: + # Skip the yaml file itself. We have already hashed a modified + # version of it. The file may include fields we don't want to hash. + continue + expanded_src = os.path.expanduser(src) config_hash.update(dst.encode('utf-8') + b'\0') From f0ebf13b5b164d012f4b033609eb1b364dc6caf3 Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Mon, 16 Dec 2024 11:56:26 -0800 Subject: [PATCH 144/152] remove sky jobs launch --fast (#4467) * remove sky jobs launch --fast The --fast behavior is now always enabled. This was unsafe before but since \#4289 it should be safe. We will remove the flag before 0.8.0 so that it never touches a stable version. sky launch still has the --fast flag. This flag is unsafe because it could cause setup to be skipped even though it should be re-run. In the managed jobs case, this is not an issue because we fully control the setup and know it will not change. * fix lint --- sky/cli.py | 24 +++++++++++++++--------- sky/jobs/core.py | 20 ++++++++++---------- 2 files changed, 25 insertions(+), 19 deletions(-) diff --git a/sky/cli.py b/sky/cli.py index 1faf0003ff9..12f77e9f6c9 100644 --- a/sky/cli.py +++ b/sky/cli.py @@ -3601,15 +3601,12 @@ def jobs(): default=False, required=False, help='Skip confirmation prompt.') -# TODO(cooperc): remove this flag once --fast can robustly detect cluster -# yaml config changes +# TODO(cooperc): remove this flag before releasing 0.8.0 @click.option('--fast', default=False, is_flag=True, - help='[Experimental] Launch the job faster by skipping ' - 'controller initialization steps. If you update SkyPilot or ' - 'your local cloud credentials, they will not be reflected until ' - 'you run `sky jobs launch` at least once without this flag.') + help=('[Deprecated] Does nothing. Previous flag behavior is now ' + 'enabled by default.')) @timeline.event @usage_lib.entrypoint def jobs_launch( @@ -3634,7 +3631,7 @@ def jobs_launch( disk_tier: Optional[str], ports: Tuple[str], detach_run: bool, - retry_until_up: bool, + retry_until_up: Optional[bool], yes: bool, fast: bool, ): @@ -3692,6 +3689,16 @@ def jobs_launch( else: retry_until_up = True + # Deprecation. The default behavior is fast, and the flag will be removed. + # The flag was not present in 0.7.x (only nightly), so we will remove before + # 0.8.0 so that it never enters a stable release. + if fast: + click.secho( + 'Flag --fast is deprecated, as the behavior is now default. The ' + 'flag will be removed soon. Please do not use it, so that you ' + 'avoid "No such option" errors.', + fg='yellow') + if not isinstance(task_or_dag, sky.Dag): assert isinstance(task_or_dag, sky.Task), task_or_dag with sky.Dag() as dag: @@ -3733,8 +3740,7 @@ def jobs_launch( managed_jobs.launch(dag, name, detach_run=detach_run, - retry_until_up=retry_until_up, - fast=fast) + retry_until_up=retry_until_up) @jobs.command('queue', cls=_DocumentedCodeCommand) diff --git a/sky/jobs/core.py b/sky/jobs/core.py index 9cde3443816..1348441a5bd 100644 --- a/sky/jobs/core.py +++ b/sky/jobs/core.py @@ -37,12 +37,13 @@ @timeline.event @usage_lib.entrypoint def launch( - task: Union['sky.Task', 'sky.Dag'], - name: Optional[str] = None, - stream_logs: bool = True, - detach_run: bool = False, - retry_until_up: bool = False, - fast: bool = False, + task: Union['sky.Task', 'sky.Dag'], + name: Optional[str] = None, + stream_logs: bool = True, + detach_run: bool = False, + retry_until_up: bool = False, + # TODO(cooperc): remove fast arg before 0.8.0 + fast: bool = True, # pylint: disable=unused-argument for compatibility ) -> None: # NOTE(dev): Keep the docstring consistent between the Python API and CLI. """Launch a managed job. @@ -54,9 +55,8 @@ def launch( managed job. name: Name of the managed job. detach_run: Whether to detach the run. - fast: Whether to use sky.launch(fast=True) for the jobs controller. If - True, the SkyPilot wheel and the cloud credentials may not be updated - on the jobs controller. + fast: [Deprecated] Does nothing, and will be removed soon. We will + always use fast mode as it's fully safe now. Raises: ValueError: cluster does not exist. Or, the entrypoint is not a valid @@ -149,7 +149,7 @@ def launch( idle_minutes_to_autostop=skylet_constants. CONTROLLER_IDLE_MINUTES_TO_AUTOSTOP, retry_until_up=True, - fast=fast, + fast=True, _disable_controller_check=True) From 943a0fe870330d6fd067629b0a451ac46df3c50c Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Wed, 18 Dec 2024 09:12:42 -0800 Subject: [PATCH 145/152] [docs] Change urls to docs.skypilot.co, add 404 page (#4413) * Add 404 page, change to docs.skypilot.co * lint --- README.md | 34 +++++++++---------- docs/requirements-docs.txt | 1 + docs/source/conf.py | 1 + docs/source/examples/managed-jobs.rst | 2 +- docs/source/reference/config.rst | 10 +++--- docs/source/reference/kubernetes/index.rst | 2 +- docs/source/reference/yaml-spec.rst | 4 +-- .../source/reservations/existing-machines.rst | 2 +- docs/source/serving/sky-serve.rst | 2 +- examples/airflow/shared_state/README.md | 6 ++-- examples/airflow/training_workflow/README.md | 10 +++--- examples/cog/README.md | 2 +- examples/k8s_cloud_deploy/README.md | 8 ++--- examples/stable_diffusion/README.md | 2 +- .../stable_diffusion/pushing_docker_image.md | 2 +- llm/codellama/README.md | 4 +-- llm/dbrx/README.md | 4 +-- llm/gemma/README.md | 2 +- llm/gpt-2/README.md | 2 +- llm/llama-3/README.md | 6 ++-- llm/llama-3_1-finetuning/readme.md | 10 +++--- llm/llama-3_1/README.md | 8 ++--- llm/llama-3_2/README.md | 4 +-- llm/llama-chatbots/README.md | 12 +++---- llm/localgpt/README.md | 2 +- llm/lorax/README.md | 2 +- llm/mixtral/README.md | 4 +-- llm/ollama/README.md | 4 +-- llm/pixtral/README.md | 4 +-- llm/qwen/README.md | 4 +-- llm/sglang/README.md | 6 ++-- llm/tabby/README.md | 6 ++-- llm/vicuna-llama-2/README.md | 2 +- llm/vicuna/README.md | 2 +- llm/vllm/README.md | 4 +-- llm/yi/README.md | 2 +- sky/adaptors/cloudflare.py | 2 +- sky/backends/cloud_vm_ray_backend.py | 5 ++- sky/check.py | 2 +- sky/clouds/aws.py | 2 +- sky/clouds/cudo.py | 6 ++-- sky/clouds/gcp.py | 6 ++-- sky/clouds/oci.py | 2 +- sky/clouds/paperspace.py | 2 +- sky/clouds/runpod.py | 2 +- sky/clouds/service_catalog/common.py | 2 +- sky/clouds/vsphere.py | 2 +- sky/data/storage.py | 8 ++--- sky/provision/gcp/constants.py | 2 +- sky/provision/kubernetes/instance.py | 2 +- sky/provision/kubernetes/utils.py | 2 +- sky/setup_files/setup.py | 2 +- sky/skypilot_config.py | 2 +- sky/utils/kubernetes/deploy_remote_cluster.sh | 2 +- sky/utils/kubernetes/gpu_labeler.py | 2 +- 55 files changed, 118 insertions(+), 119 deletions(-) diff --git a/README.md b/README.md index f29b57be9ca..1ed99325df5 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@

          - + Documentation @@ -43,7 +43,7 @@

          Archived - [Jul 2024] [**Finetune**](./llm/llama-3_1-finetuning/) and [**serve**](./llm/llama-3_1/) **Llama 3.1** on your infra -- [Apr 2024] Serve and finetune [**Llama 3**](https://skypilot.readthedocs.io/en/latest/gallery/llms/llama-3.html) on any cloud or Kubernetes: [**example**](./llm/llama-3/) +- [Apr 2024] Serve and finetune [**Llama 3**](https://docs.skypilot.co/en/latest/gallery/llms/llama-3.html) on any cloud or Kubernetes: [**example**](./llm/llama-3/) - [Mar 2024] Serve and deploy [**Databricks DBRX**](https://www.databricks.com/blog/introducing-dbrx-new-state-art-open-llm) on your infra: [**example**](./llm/dbrx/) - [Feb 2024] Speed up your LLM deployments with [**SGLang**](https://github.com/sgl-project/sglang) for 5x throughput on SkyServe: [**example**](./llm/sglang/) - [Dec 2023] Using [**LoRAX**](https://github.com/predibase/lorax) to serve 1000s of finetuned LLMs on a single instance in the cloud: [**example**](./llm/lorax/) @@ -60,17 +60,17 @@ SkyPilot is a framework for running AI and batch workloads on any infra, offering unified execution, high cost savings, and high GPU availability. SkyPilot **abstracts away infra burdens**: -- Launch [dev clusters](https://skypilot.readthedocs.io/en/latest/examples/interactive-development.html), [jobs](https://skypilot.readthedocs.io/en/latest/examples/managed-jobs.html), and [serving](https://skypilot.readthedocs.io/en/latest/serving/sky-serve.html) on any infra +- Launch [dev clusters](https://docs.skypilot.co/en/latest/examples/interactive-development.html), [jobs](https://docs.skypilot.co/en/latest/examples/managed-jobs.html), and [serving](https://docs.skypilot.co/en/latest/serving/sky-serve.html) on any infra - Easy job management: queue, run, and auto-recover many jobs SkyPilot **supports multiple clusters, clouds, and hardware** ([the Sky](https://arxiv.org/abs/2205.07147)): - Bring your reserved GPUs, Kubernetes clusters, or 12+ clouds -- [Flexible provisioning](https://skypilot.readthedocs.io/en/latest/examples/auto-failover.html) of GPUs, TPUs, CPUs, with auto-retry +- [Flexible provisioning](https://docs.skypilot.co/en/latest/examples/auto-failover.html) of GPUs, TPUs, CPUs, with auto-retry SkyPilot **cuts your cloud costs & maximizes GPU availability**: -* [Autostop](https://skypilot.readthedocs.io/en/latest/reference/auto-stop.html): automatic cleanup of idle resources -* [Managed Spot](https://skypilot.readthedocs.io/en/latest/examples/managed-jobs.html): 3-6x cost savings using spot instances, with preemption auto-recovery -* [Optimizer](https://skypilot.readthedocs.io/en/latest/examples/auto-failover.html): 2x cost savings by auto-picking the cheapest & most available infra +* [Autostop](https://docs.skypilot.co/en/latest/reference/auto-stop.html): automatic cleanup of idle resources +* [Managed Spot](https://docs.skypilot.co/en/latest/examples/managed-jobs.html): 3-6x cost savings using spot instances, with preemption auto-recovery +* [Optimizer](https://docs.skypilot.co/en/latest/examples/auto-failover.html): 2x cost savings by auto-picking the cheapest & most available infra SkyPilot supports your existing GPU, TPU, and CPU workloads, with no code changes. @@ -79,13 +79,13 @@ Install with pip: # Choose your clouds: pip install -U "skypilot[kubernetes,aws,gcp,azure,oci,lambda,runpod,fluidstack,paperspace,cudo,ibm,scp]" ``` -To get the latest features and fixes, use the nightly build or [install from source](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html): +To get the latest features and fixes, use the nightly build or [install from source](https://docs.skypilot.co/en/latest/getting-started/installation.html): ```bash # Choose your clouds: pip install "skypilot-nightly[kubernetes,aws,gcp,azure,oci,lambda,runpod,fluidstack,paperspace,cudo,ibm,scp]" ``` -[Current supported infra](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html) (Kubernetes; AWS, GCP, Azure, OCI, Lambda Cloud, Fluidstack, RunPod, Cudo, Paperspace, Cloudflare, Samsung, IBM, VMware vSphere): +[Current supported infra](https://docs.skypilot.co/en/latest/getting-started/installation.html) (Kubernetes; AWS, GCP, Azure, OCI, Lambda Cloud, Fluidstack, RunPod, Cudo, Paperspace, Cloudflare, Samsung, IBM, VMware vSphere):

          @@ -95,16 +95,16 @@ pip install "skypilot-nightly[kubernetes,aws,gcp,azure,oci,lambda,runpod,fluidst ## Getting Started -You can find our documentation [here](https://skypilot.readthedocs.io/en/latest/). -- [Installation](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html) -- [Quickstart](https://skypilot.readthedocs.io/en/latest/getting-started/quickstart.html) -- [CLI reference](https://skypilot.readthedocs.io/en/latest/reference/cli.html) +You can find our documentation [here](https://docs.skypilot.co/). +- [Installation](https://docs.skypilot.co/en/latest/getting-started/installation.html) +- [Quickstart](https://docs.skypilot.co/en/latest/getting-started/quickstart.html) +- [CLI reference](https://docs.skypilot.co/en/latest/reference/cli.html) ## SkyPilot in 1 Minute A SkyPilot task specifies: resource requirements, data to be synced, setup commands, and the task commands. -Once written in this [**unified interface**](https://skypilot.readthedocs.io/en/latest/reference/yaml-spec.html) (YAML or Python API), the task can be launched on any available cloud. This avoids vendor lock-in, and allows easily moving jobs to a different provider. +Once written in this [**unified interface**](https://docs.skypilot.co/en/latest/reference/yaml-spec.html) (YAML or Python API), the task can be launched on any available cloud. This avoids vendor lock-in, and allows easily moving jobs to a different provider. Paste the following into a file `my_task.yaml`: @@ -135,7 +135,7 @@ Prepare the workdir by cloning: git clone https://github.com/pytorch/examples.git ~/torch_examples ``` -Launch with `sky launch` (note: [access to GPU instances](https://skypilot.readthedocs.io/en/latest/cloud-setup/quota.html) is needed for this example): +Launch with `sky launch` (note: [access to GPU instances](https://docs.skypilot.co/en/latest/cloud-setup/quota.html) is needed for this example): ```bash sky launch my_task.yaml ``` @@ -152,10 +152,10 @@ SkyPilot then performs the heavy-lifting for you, including:

          -Refer to [Quickstart](https://skypilot.readthedocs.io/en/latest/getting-started/quickstart.html) to get started with SkyPilot. +Refer to [Quickstart](https://docs.skypilot.co/en/latest/getting-started/quickstart.html) to get started with SkyPilot. ## More Information -To learn more, see [Concept: Sky Computing](https://docs.skypilot.co/en/latest/sky-computing.html), [SkyPilot docs](https://skypilot.readthedocs.io/en/latest/), and [SkyPilot blog](https://blog.skypilot.co/). +To learn more, see [Concept: Sky Computing](https://docs.skypilot.co/en/latest/sky-computing.html), [SkyPilot docs](https://docs.skypilot.co/en/latest/), and [SkyPilot blog](https://blog.skypilot.co/). Runnable examples: diff --git a/docs/requirements-docs.txt b/docs/requirements-docs.txt index 7627218e451..9bc7052771f 100644 --- a/docs/requirements-docs.txt +++ b/docs/requirements-docs.txt @@ -10,6 +10,7 @@ myst-parser==2.0.0 sphinx-autodoc-typehints==1.25.2 sphinx-book-theme==1.1.0 sphinx-togglebutton==0.3.2 +sphinx-notfound-page==1.0.4 sphinxcontrib-applehelp==1.0.7 sphinxcontrib-devhelp==1.0.5 sphinxcontrib-googleanalytics==0.4 diff --git a/docs/source/conf.py b/docs/source/conf.py index a8ce3270e88..3c0b62c9947 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -41,6 +41,7 @@ 'sphinxemoji.sphinxemoji', 'sphinx_design', 'myst_parser', + 'notfound.extension', ] intersphinx_mapping = { diff --git a/docs/source/examples/managed-jobs.rst b/docs/source/examples/managed-jobs.rst index 61c33b5c43e..99fa461249d 100644 --- a/docs/source/examples/managed-jobs.rst +++ b/docs/source/examples/managed-jobs.rst @@ -499,7 +499,7 @@ To achieve the above, you can specify custom configs in :code:`~/.sky/config.yam # Specify the disk_size in GB of the jobs controller. disk_size: 100 -The :code:`resources` field has the same spec as a normal SkyPilot job; see `here `__. +The :code:`resources` field has the same spec as a normal SkyPilot job; see `here `__. .. note:: These settings will not take effect if you have an existing controller (either diff --git a/docs/source/reference/config.rst b/docs/source/reference/config.rst index 286788625bd..d5ee4d2134a 100644 --- a/docs/source/reference/config.rst +++ b/docs/source/reference/config.rst @@ -22,7 +22,7 @@ Available fields and semantics: # # These take effects only when a managed jobs controller does not already exist. # - # Ref: https://skypilot.readthedocs.io/en/latest/examples/managed-jobs.html#customizing-job-controller-resources + # Ref: https://docs.skypilot.co/en/latest/examples/managed-jobs.html#customizing-job-controller-resources jobs: controller: resources: # same spec as 'resources' in a task YAML @@ -478,13 +478,13 @@ Available fields and semantics: # This must be either: 'loadbalancer', 'ingress' or 'podip'. # # loadbalancer: Creates services of type `LoadBalancer` to expose ports. - # See https://skypilot.readthedocs.io/en/latest/reference/kubernetes/kubernetes-setup.html#loadbalancer-service. + # See https://docs.skypilot.co/en/latest/reference/kubernetes/kubernetes-setup.html#loadbalancer-service. # This mode is supported out of the box on most cloud managed Kubernetes # environments (e.g., GKE, EKS). # # ingress: Creates an ingress and a ClusterIP service for each port opened. # Requires an Nginx ingress controller to be configured on the Kubernetes cluster. - # Refer to https://skypilot.readthedocs.io/en/latest/reference/kubernetes/kubernetes-setup.html#nginx-ingress + # Refer to https://docs.skypilot.co/en/latest/reference/kubernetes/kubernetes-setup.html#nginx-ingress # for details on deploying the NGINX ingress controller. # # podip: Directly returns the IP address of the pod. This mode does not @@ -513,7 +513,7 @@ Available fields and semantics: # # : The name of a service account to use for all Kubernetes pods. # This service account must exist in the user's namespace and have all - # necessary permissions. Refer to https://skypilot.readthedocs.io/en/latest/cloud-setup/cloud-permissions/kubernetes.html + # necessary permissions. Refer to https://docs.skypilot.co/en/latest/cloud-setup/cloud-permissions/kubernetes.html # for details on the roles required by the service account. # # Using SERVICE_ACCOUNT or a custom service account only affects Kubernetes @@ -581,7 +581,7 @@ Available fields and semantics: # gke: uses cloud.google.com/gke-accelerator label to identify GPUs on nodes # karpenter: uses karpenter.k8s.aws/instance-gpu-name label to identify GPUs on nodes # generic: uses skypilot.co/accelerator labels to identify GPUs on nodes - # Refer to https://skypilot.readthedocs.io/en/latest/reference/kubernetes/kubernetes-setup.html#setting-up-gpu-support + # Refer to https://docs.skypilot.co/en/latest/reference/kubernetes/kubernetes-setup.html#setting-up-gpu-support # for more details on setting up labels for GPU support. # # Default: null (no autoscaler, autodetect label format for GPU nodes) diff --git a/docs/source/reference/kubernetes/index.rst b/docs/source/reference/kubernetes/index.rst index 89a57862c88..639b5b633ed 100644 --- a/docs/source/reference/kubernetes/index.rst +++ b/docs/source/reference/kubernetes/index.rst @@ -39,7 +39,7 @@ Why use SkyPilot on Kubernetes? .. grid-item-card:: 🖼 Run popular models on Kubernetes :text-align: center - Train and serve `Llama-3 `_, `Mixtral `_, and more on your Kubernetes with ready-to-use recipes from the :ref:`AI gallery `. + Train and serve `Llama-3 `_, `Mixtral `_, and more on your Kubernetes with ready-to-use recipes from the :ref:`AI gallery `. .. tab-item:: For Infrastructure Admins diff --git a/docs/source/reference/yaml-spec.rst b/docs/source/reference/yaml-spec.rst index 455ee5909c9..0be708305c8 100644 --- a/docs/source/reference/yaml-spec.rst +++ b/docs/source/reference/yaml-spec.rst @@ -23,7 +23,7 @@ Available fields: # which `sky` is called. # # To exclude files from syncing, see - # https://skypilot.readthedocs.io/en/latest/examples/syncing-code-artifacts.html#exclude-uploading-files + # https://docs.skypilot.co/en/latest/examples/syncing-code-artifacts.html#exclude-uploading-files workdir: ~/my-task-code # Number of nodes (optional; defaults to 1) to launch including the head node. @@ -357,7 +357,7 @@ In additional to the above fields, SkyPilot also supports the following experime # # The following fields can be overridden. Please refer to docs of Advanced # Configuration for more details of those fields: - # https://skypilot.readthedocs.io/en/latest/reference/config.html + # https://docs.skypilot.co/en/latest/reference/config.html config_overrides: docker: run_options: ... diff --git a/docs/source/reservations/existing-machines.rst b/docs/source/reservations/existing-machines.rst index 10962ecd639..717043bfd25 100644 --- a/docs/source/reservations/existing-machines.rst +++ b/docs/source/reservations/existing-machines.rst @@ -42,7 +42,7 @@ Prerequisites **Local machine (typically your laptop):** * `kubectl `_ -* `SkyPilot `_ +* `SkyPilot `_ **Remote machines (your cluster, optionally with GPUs):** diff --git a/docs/source/serving/sky-serve.rst b/docs/source/serving/sky-serve.rst index c00fa427bd6..5a1a913b7ea 100644 --- a/docs/source/serving/sky-serve.rst +++ b/docs/source/serving/sky-serve.rst @@ -515,7 +515,7 @@ To achieve the above, you can specify custom configs in :code:`~/.sky/config.yam # Specify the disk_size in GB of the SkyServe controller. disk_size: 1024 -The :code:`resources` field has the same spec as a normal SkyPilot job; see `here `__. +The :code:`resources` field has the same spec as a normal SkyPilot job; see `here `__. .. note:: These settings will not take effect if you have an existing controller (either diff --git a/examples/airflow/shared_state/README.md b/examples/airflow/shared_state/README.md index 5f39471351a..917a45862a7 100644 --- a/examples/airflow/shared_state/README.md +++ b/examples/airflow/shared_state/README.md @@ -12,7 +12,7 @@ In this guide, we demonstrate how some simple SkyPilot operations, such as launc * Airflow installed on a [Kubernetes cluster](https://airflow.apache.org/docs/helm-chart/stable/index.html) or [locally](https://airflow.apache.org/docs/apache-airflow/stable/start.html) (`SequentialExecutor`) * A Kubernetes cluster to run tasks on. We'll use GKE in this example. - * You can use our guide on [setting up a Kubernetes cluster](https://skypilot.readthedocs.io/en/latest/reference/kubernetes/kubernetes-setup.html). + * You can use our guide on [setting up a Kubernetes cluster](https://docs.skypilot.co/en/latest/reference/kubernetes/kubernetes-setup.html). * A persistent volume storage class should be available that supports at least `ReadWriteOnce` access mode. GKE has this supported by default. ## Preparing the Kubernetes Cluster @@ -39,7 +39,7 @@ In this guide, we demonstrate how some simple SkyPilot operations, such as launc name: sky-airflow-sa namespace: default roleRef: - # For minimal permissions, refer to https://skypilot.readthedocs.io/en/latest/cloud-setup/cloud-permissions/kubernetes.html + # For minimal permissions, refer to https://docs.skypilot.co/en/latest/cloud-setup/cloud-permissions/kubernetes.html kind: ClusterRole name: cluster-admin apiGroup: rbac.authorization.k8s.io @@ -163,7 +163,7 @@ with DAG(dag_id='sky_k8s_example', ## Tips 1. **Persistent Volume**: If you have many concurrent tasks, you may want to use a storage class that supports [`ReadWriteMany`](https://kubernetes.io/docs/concepts/storage/persistent-volumes/#access-modes) access mode. -2. **Cloud credentials**: If you wish to run tasks on different clouds, you can configure cloud credentials in Kubernetes secrets and mount them in the Sky pod defined in the DAG. See [SkyPilot docs on setting up cloud credentials](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#cloud-account-setup) for more on how to configure credentials in the pod. +2. **Cloud credentials**: If you wish to run tasks on different clouds, you can configure cloud credentials in Kubernetes secrets and mount them in the Sky pod defined in the DAG. See [SkyPilot docs on setting up cloud credentials](https://docs.skypilot.co/en/latest/getting-started/installation.html#cloud-account-setup) for more on how to configure credentials in the pod. 3. **Logging**: All SkyPilot logs are written to container stdout, which is captured as task logs in Airflow and displayed in the UI. You can also write logs to a file and read them in subsequent tasks. 4. **XComs for shared state**: Airflow also provides [XComs](https://airflow.apache.org/docs/apache-airflow/stable/concepts/xcoms.html) for cross-task communication. [`sky_k8s_example_xcoms.py`](sky_k8s_example_xcoms.py) demonstrates how to use XComs to share state between tasks. diff --git a/examples/airflow/training_workflow/README.md b/examples/airflow/training_workflow/README.md index dad08d8d3b0..71cb10bef50 100644 --- a/examples/airflow/training_workflow/README.md +++ b/examples/airflow/training_workflow/README.md @@ -7,7 +7,7 @@ In this guide, we show how a training workflow involving data preprocessing, tra

          -**💡 Tip:** SkyPilot also supports defining and running pipelines without Airflow. Check out [Jobs Pipelines](https://skypilot.readthedocs.io/en/latest/examples/managed-jobs.html#job-pipelines) for more information. +**💡 Tip:** SkyPilot also supports defining and running pipelines without Airflow. Check out [Jobs Pipelines](https://docs.skypilot.co/en/latest/examples/managed-jobs.html#job-pipelines) for more information. ## Why use SkyPilot with Airflow? In AI workflows, **the transition from development to production is hard**. @@ -24,7 +24,7 @@ production Airflow cluster. Behind the scenes, SkyPilot handles environment setu Here's how you can use SkyPilot to take your dev workflows to production in Airflow: 1. **Define and test your workflow as SkyPilot tasks**. - - Use `sky launch` and [Sky VSCode integration](https://skypilot.readthedocs.io/en/latest/examples/interactive-development.html#dev-vscode) to run, debug and iterate on your code. + - Use `sky launch` and [Sky VSCode integration](https://docs.skypilot.co/en/latest/examples/interactive-development.html#dev-vscode) to run, debug and iterate on your code. 2. **Orchestrate SkyPilot tasks in Airflow** by invoking `sky launch` on their YAMLs as a task in the Airflow DAG. - Airflow does the scheduling, logging, and monitoring, while SkyPilot handles the infra setup and task execution. @@ -34,7 +34,7 @@ Here's how you can use SkyPilot to take your dev workflows to production in Airf * Airflow installed on a [Kubernetes cluster](https://airflow.apache.org/docs/helm-chart/stable/index.html) or [locally](https://airflow.apache.org/docs/apache-airflow/stable/start.html) (`SequentialExecutor`) * A Kubernetes cluster to run tasks on. We'll use GKE in this example. * A Google cloud account with GCS access to store the data for task. - * Follow [SkyPilot instructions](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#google-cloud-platform-gcp) to set up Google Cloud credentials. + * Follow [SkyPilot instructions](https://docs.skypilot.co/en/latest/getting-started/installation.html#google-cloud-platform-gcp) to set up Google Cloud credentials. ## Preparing the Kubernetes Cluster @@ -60,7 +60,7 @@ Here's how you can use SkyPilot to take your dev workflows to production in Airf name: sky-airflow-sa namespace: default roleRef: - # For minimal permissions, refer to https://skypilot.readthedocs.io/en/latest/cloud-setup/cloud-permissions/kubernetes.html + # For minimal permissions, refer to https://docs.skypilot.co/en/latest/cloud-setup/cloud-permissions/kubernetes.html kind: ClusterRole name: cluster-admin apiGroup: rbac.authorization.k8s.io @@ -103,7 +103,7 @@ The train and eval step can be run in a similar way: sky launch -c train --env DATA_BUCKET_URL=gs:// train.yaml ``` -Hint: You can use `ssh` and VSCode to [interactively develop](https://skypilot.readthedocs.io/en/latest/examples/interactive-development.html) and debug the tasks. +Hint: You can use `ssh` and VSCode to [interactively develop](https://docs.skypilot.co/en/latest/examples/interactive-development.html) and debug the tasks. Note: `eval` can be optionally run on the same cluster as `train` with `sky exec`. Refer to the `shared_state` airflow example on how to do this. diff --git a/examples/cog/README.md b/examples/cog/README.md index b2193e2e18f..97d886e2d2c 100644 --- a/examples/cog/README.md +++ b/examples/cog/README.md @@ -17,7 +17,7 @@ curl http://$IP:5000/predictions -X POST \ ``` ## Scale up the deployment using SkyServe -We can use SkyServe (`sky serve`) to scale up the deployment to multiple instances, while enjoying load balancing, autoscaling, and other [SkyServe features](https://skypilot.readthedocs.io/en/latest/serving/sky-serve.html). +We can use SkyServe (`sky serve`) to scale up the deployment to multiple instances, while enjoying load balancing, autoscaling, and other [SkyServe features](https://docs.skypilot.co/en/latest/serving/sky-serve.html). ```console sky serve up -n cog ./sky.yaml ``` diff --git a/examples/k8s_cloud_deploy/README.md b/examples/k8s_cloud_deploy/README.md index 5ba42cbe836..9b0d46249d4 100644 --- a/examples/k8s_cloud_deploy/README.md +++ b/examples/k8s_cloud_deploy/README.md @@ -56,11 +56,11 @@ NODE_NAME GPU_NAME TOTAL_GPUS FREE_GPUS ## Run AI workloads on your Kubernetes cluster with SkyPilot ### Development clusters -To launch a [GPU enabled development cluster](https://skypilot.readthedocs.io/en/latest/examples/interactive-development.html), run `sky launch -c mycluster --cloud kubernetes --gpus A10:1`. +To launch a [GPU enabled development cluster](https://docs.skypilot.co/en/latest/examples/interactive-development.html), run `sky launch -c mycluster --cloud kubernetes --gpus A10:1`. SkyPilot will setup SSH config for you. -* [SSH access](https://skypilot.readthedocs.io/en/latest/examples/interactive-development.html#ssh): `ssh mycluster` -* [VSCode remote development](https://skypilot.readthedocs.io/en/latest/examples/interactive-development.html#vscode): `code --remote ssh-remote+mycluster "/"` +* [SSH access](https://docs.skypilot.co/en/latest/examples/interactive-development.html#ssh): `ssh mycluster` +* [VSCode remote development](https://docs.skypilot.co/en/latest/examples/interactive-development.html#vscode): `code --remote ssh-remote+mycluster "/"` ### Jobs @@ -87,7 +87,7 @@ sky-cmd-1-2ea4-head 1/1 Running 0 8m36s sky-jobs-controller-2ea485ea-2ea4-head 1/1 Running 0 10m ``` -Refer to [SkyPilot docs](https://skypilot.readthedocs.io/) for more. +Refer to [SkyPilot docs](https://docs.skypilot.co/) for more. ## Teardown To teardown the Kubernetes cluster, run: diff --git a/examples/stable_diffusion/README.md b/examples/stable_diffusion/README.md index 2a4383f1347..56af44df91e 100644 --- a/examples/stable_diffusion/README.md +++ b/examples/stable_diffusion/README.md @@ -1,6 +1,6 @@ ## Setup -1. Install skypilot package by following these [instructions](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html). +1. Install skypilot package by following these [instructions](https://docs.skypilot.co/en/latest/getting-started/installation.html). 2. Run `git clone https://github.com/skypilot-org/skypilot.git && cd examples/stable_diffusion` diff --git a/examples/stable_diffusion/pushing_docker_image.md b/examples/stable_diffusion/pushing_docker_image.md index 80b285fa832..0585d566543 100644 --- a/examples/stable_diffusion/pushing_docker_image.md +++ b/examples/stable_diffusion/pushing_docker_image.md @@ -1,6 +1,6 @@ ## GCR -1. Install skypilot package by following these [instructions](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html). +1. Install skypilot package by following these [instructions](https://docs.skypilot.co/en/latest/getting-started/installation.html). 2. Run `git clone https://github.com/skypilot-org/skypilot.git `. diff --git a/llm/codellama/README.md b/llm/codellama/README.md index f145fd062ff..54019bd6d2a 100644 --- a/llm/codellama/README.md +++ b/llm/codellama/README.md @@ -38,7 +38,7 @@ The followings are the demos of Code Llama 70B hosted by SkyPilot Serve (aka Sky ## Running your own Code Llama with SkyPilot -After [installing SkyPilot](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html), run your own Code Llama on vLLM with SkyPilot in 1-click: +After [installing SkyPilot](https://docs.skypilot.co/en/latest/getting-started/installation.html), run your own Code Llama on vLLM with SkyPilot in 1-click: 1. Start serving Code Llama 70B on a single instance with any available GPU in the list specified in [endpoint.yaml](https://github.com/skypilot-org/skypilot/tree/master/llm/codellama/endpoint.yaml) with a vLLM powered OpenAI-compatible endpoint: ```console @@ -100,7 +100,7 @@ This returns the following completion: ## Scale up the service with SkyServe -1. With [SkyServe](https://skypilot.readthedocs.io/en/latest/serving/sky-serve.html), a serving library built on top of SkyPilot, scaling up the Code Llama service is as simple as running: +1. With [SkyServe](https://docs.skypilot.co/en/latest/serving/sky-serve.html), a serving library built on top of SkyPilot, scaling up the Code Llama service is as simple as running: ```bash sky serve up -n code-llama ./endpoint.yaml ``` diff --git a/llm/dbrx/README.md b/llm/dbrx/README.md index 3011af9d4e6..2845634b287 100644 --- a/llm/dbrx/README.md +++ b/llm/dbrx/README.md @@ -11,7 +11,7 @@ In this recipe, you will serve `databricks/dbrx-instruct` on your own infra -- ## Prerequisites - Go to the [HuggingFace model page](https://huggingface.co/databricks/dbrx-instruct) and request access to the model `databricks/dbrx-instruct`. -- Check that you have installed SkyPilot ([docs](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html)). +- Check that you have installed SkyPilot ([docs](https://docs.skypilot.co/en/latest/getting-started/installation.html)). - Check that `sky check` shows clouds or Kubernetes are enabled. ## SkyPilot YAML @@ -278,6 +278,6 @@ To shut down all resources: sky serve down dbrx ``` -See more details in [SkyServe docs](https://skypilot.readthedocs.io/en/latest/serving/sky-serve.html). +See more details in [SkyServe docs](https://docs.skypilot.co/en/latest/serving/sky-serve.html). diff --git a/llm/gemma/README.md b/llm/gemma/README.md index ef5027b2807..7296f7c7e31 100644 --- a/llm/gemma/README.md +++ b/llm/gemma/README.md @@ -24,7 +24,7 @@ Generate a read-only access token on huggingface [here](https://huggingface.co/s ```bash pip install "skypilot-nightly[all]" ``` -For detailed installation instructions, please refer to the [installation guide](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html). +For detailed installation instructions, please refer to the [installation guide](https://docs.skypilot.co/en/latest/getting-started/installation.html). ### Host on a Single Instance diff --git a/llm/gpt-2/README.md b/llm/gpt-2/README.md index 10fa2cf6998..b8e656e2353 100644 --- a/llm/gpt-2/README.md +++ b/llm/gpt-2/README.md @@ -13,7 +13,7 @@ pip install "skypilot-nightly[aws,gcp,azure,kubernetes,lambda,fluidstack]" # Cho ```bash sky check ``` -Please check the instructions for enabling clouds at [SkyPilot doc](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html). +Please check the instructions for enabling clouds at [SkyPilot doc](https://docs.skypilot.co/en/latest/getting-started/installation.html). 3. Download the YAML for starting the training: ```bash diff --git a/llm/llama-3/README.md b/llm/llama-3/README.md index 8ffcb3087a9..c4cf9066f63 100644 --- a/llm/llama-3/README.md +++ b/llm/llama-3/README.md @@ -29,7 +29,7 @@ ## Prerequisites - Go to the [HuggingFace model page](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) and request access to the model `meta-llama/Meta-Llama-3-70B-Instruct`. -- Check that you have installed SkyPilot ([docs](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html)). +- Check that you have installed SkyPilot ([docs](https://docs.skypilot.co/en/latest/getting-started/installation.html)). - Check that `sky check` shows clouds or Kubernetes are enabled. ## SkyPilot YAML @@ -326,7 +326,7 @@ To shut down all resources: sky serve down llama3 ``` -See more details in [SkyServe docs](https://skypilot.readthedocs.io/en/latest/serving/sky-serve.html). +See more details in [SkyServe docs](https://docs.skypilot.co/en/latest/serving/sky-serve.html). ### **Optional**: Connect a GUI to your Llama-3 endpoint @@ -349,4 +349,4 @@ sky launch -c llama3-gui ./gui.yaml --env ENDPOINT=$(sky serve status --endpoint ## Finetuning Llama-3 -You can finetune Llama-3 on your own data. We have an tutorial for finetunning Llama-2 for Vicuna on SkyPilot, which can be adapted for Llama-3. You can find the tutorial [here](https://skypilot.readthedocs.io/en/latest/gallery/tutorials/finetuning.html) and a detailed blog post [here](https://blog.skypilot.co/finetuning-llama2-operational-guide/). +You can finetune Llama-3 on your own data. We have an tutorial for finetunning Llama-2 for Vicuna on SkyPilot, which can be adapted for Llama-3. You can find the tutorial [here](https://docs.skypilot.co/en/latest/gallery/tutorials/finetuning.html) and a detailed blog post [here](https://blog.skypilot.co/finetuning-llama2-operational-guide/). diff --git a/llm/llama-3_1-finetuning/readme.md b/llm/llama-3_1-finetuning/readme.md index 935dccde84e..ddc2b9e2463 100644 --- a/llm/llama-3_1-finetuning/readme.md +++ b/llm/llama-3_1-finetuning/readme.md @@ -7,10 +7,10 @@ On July 23, 2024, Meta released the [Llama 3.1 model family](https://ai.meta.com/blog/meta-llama-3-1/), including a 405B parameter model in both base model and instruction-tuned forms. Llama 3.1 405B became _the first open LLM that closely rivals top proprietary models_ like GPT-4o and Claude 3.5 Sonnet. -This guide shows how to use [SkyPilot](https://github.com/skypilot-org/skypilot) and [torchtune](https://pytorch.org/torchtune/stable/index.html) to **finetune Llama 3.1 on your own data and infra**. Everything is packaged in a simple [SkyPilot YAML](https://skypilot.readthedocs.io/en/latest/getting-started/quickstart.html), that can be launched with one command on your infra: +This guide shows how to use [SkyPilot](https://github.com/skypilot-org/skypilot) and [torchtune](https://pytorch.org/torchtune/stable/index.html) to **finetune Llama 3.1 on your own data and infra**. Everything is packaged in a simple [SkyPilot YAML](https://docs.skypilot.co/en/latest/getting-started/quickstart.html), that can be launched with one command on your infra: - Local GPU workstation - Kubernetes cluster -- Cloud accounts ([12 clouds supported](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html)) +- Cloud accounts ([12 clouds supported](https://docs.skypilot.co/en/latest/getting-started/installation.html))
          @@ -233,7 +233,7 @@ export HF_TOKEN="xxxx" ```bash pip install skypilot-nightly[aws,gcp,kubernetes] # or other clouds (12 clouds + kubernetes supported) you have setup -# See: https://skypilot.readthedocs.io/en/latest/getting-started/installation.html +# See: https://docs.skypilot.co/en/latest/getting-started/installation.html ``` 5. Check your infra setup: @@ -262,6 +262,6 @@ sky check ## What's next * [AI on Kubernetes Without the Pain](https://blog.skypilot.co/ai-on-kubernetes/) -* [SkyPilot AI Gallery](https://skypilot.readthedocs.io/en/latest/gallery/index.html) -* [SkyPilot Docs](https://skypilot.readthedocs.io/en/latest/docs/index.html) +* [SkyPilot AI Gallery](https://docs.skypilot.co/en/latest/gallery/index.html) +* [SkyPilot Docs](https://docs.skypilot.co) * [SkyPilot GitHub](https://github.com/skypilot-org/skypilot) diff --git a/llm/llama-3_1/README.md b/llm/llama-3_1/README.md index 6cfeb8dc5f9..2634811d8a1 100644 --- a/llm/llama-3_1/README.md +++ b/llm/llama-3_1/README.md @@ -13,7 +13,7 @@ This guide walks through how to serve Llama 3.1 models **completely on your infr - Local GPU workstation - Kubernetes cluster -- Cloud accounts ([12 clouds supported](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html)) +- Cloud accounts ([12 clouds supported](https://docs.skypilot.co/en/latest/getting-started/installation.html)) SkyPilot will be used as the unified framework to launch serving on any (or multiple) infra that you bring. @@ -64,7 +64,7 @@ sky check kubernetes sky check ``` -See [docs](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html) for details. +See [docs](https://docs.skypilot.co/en/latest/getting-started/installation.html) for details. ### Step 1: Get a GPU dev node (pod or VM) @@ -155,7 +155,7 @@ Now that we verified the model is working, let's package it for hands-free deplo Whichever infra you use for GPUs, SkyPilot abstracts away the mundane infra tasks (e.g., setting up services on K8s, opening up ports for cloud VMs), making AI models super easy to deploy via one command. -[Deploying via SkyPilot](https://skypilot.readthedocs.io/en/latest/serving/sky-serve.html) has several key benefits: +[Deploying via SkyPilot](https://docs.skypilot.co/en/latest/serving/sky-serve.html) has several key benefits: - Control node & replicas completely stay in your infra - Automatic load-balancing across multiple replicas - Automatic recovery of replicas @@ -296,7 +296,7 @@ curl -L http://$ENDPOINT/v1/chat/completions \ 🎉 **Congratulations!** You are now serving a Llama 3.1 8B model across two replicas. To recap, all model replicas **stay in your own private infrastructure** and SkyPilot ensures they are **healthy and available**. -Details on autoscaling, rolling updates, and more in [SkyServe docs](https://skypilot.readthedocs.io/en/latest/serving/sky-serve.html). +Details on autoscaling, rolling updates, and more in [SkyServe docs](https://docs.skypilot.co/en/latest/serving/sky-serve.html). When you are done, shut down all resources: diff --git a/llm/llama-3_2/README.md b/llm/llama-3_2/README.md index 987dc0d90c5..f6c2a54ce6a 100644 --- a/llm/llama-3_2/README.md +++ b/llm/llama-3_2/README.md @@ -26,7 +26,7 @@ ## Prerequisites - Go to the [HuggingFace model page](https://huggingface.co/meta-llama/) and request access to the model [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) and [meta-llama/Llama-3.2-11B-Vision](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision). -- Check that you have installed SkyPilot ([docs](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html)). +- Check that you have installed SkyPilot ([docs](https://docs.skypilot.co/en/latest/getting-started/installation.html)). - Check that `sky check` shows clouds or Kubernetes are enabled. ## SkyPilot YAML @@ -346,7 +346,7 @@ To shut down all resources: sky serve down llama3 ``` -See more details in [SkyServe docs](https://skypilot.readthedocs.io/en/latest/serving/sky-serve.html). +See more details in [SkyServe docs](https://docs.skypilot.co/en/latest/serving/sky-serve.html). ## Developing and Finetuning Llama 3 series diff --git a/llm/llama-chatbots/README.md b/llm/llama-chatbots/README.md index 418d3d39d15..272cc24d288 100644 --- a/llm/llama-chatbots/README.md +++ b/llm/llama-chatbots/README.md @@ -17,12 +17,12 @@ It will automatically perform the following: [**LLaMA**](https://github.com/facebookresearch/llama) is a set of Large Language Models (LLMs) recently released by Meta. Trained on more than 1 trillion tokens from public datasets, LLaMA achieves high quality and is space-efficient. You can [fill out a form to request access from Meta](https://docs.google.com/forms/d/e/1FAIpQLSfqNECQnMkycAp2jP4Z9TFX0cGR4uf7b_fBxjY_OjhJILlKGA/viewform) to download the open model weights. In the steps below we assume either (1) you have an unexpired download URL, or (2) the weights have been downloaded and stored on the local machine. -[**SkyPilot**](https://github.com/skypilot-org/skypilot) is an open-source framework from UC Berkeley for seamlessly running machine learning on any cloud. With a simple CLI, users can easily launch many clusters and jobs, while substantially lowering their cloud bills. Currently, [Lambda Labs](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#lambda-cloud) (low-cost GPU cloud), [AWS](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#aws), [GCP](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#gcp), and [Azure](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#azure) are supported. See [docs](https://skypilot.readthedocs.io/en/latest/) to learn more. +[**SkyPilot**](https://github.com/skypilot-org/skypilot) is an open-source framework from UC Berkeley for seamlessly running machine learning on any cloud. With a simple CLI, users can easily launch many clusters and jobs, while substantially lowering their cloud bills. Currently, [Lambda Labs](https://docs.skypilot.co/en/latest/getting-started/installation.html#lambda-cloud) (low-cost GPU cloud), [AWS](https://docs.skypilot.co/en/latest/getting-started/installation.html#aws), [GCP](https://docs.skypilot.co/en/latest/getting-started/installation.html#gcp), and [Azure](https://docs.skypilot.co/en/latest/getting-started/installation.html#azure) are supported. See [docs](https://docs.skypilot.co/en/latest/) to learn more. ## Steps All YAML files used below live in [the SkyPilot repo](https://github.com/skypilot-org/skypilot/tree/master/llm/llama-chatbots), and the chatbot code is [here](https://github.com/skypilot-org/sky-llama). -0. Install SkyPilot and [check that cloud credentials exist](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#cloud-account-setup): +0. Install SkyPilot and [check that cloud credentials exist](https://docs.skypilot.co/en/latest/getting-started/installation.html#cloud-account-setup): ```bash pip install "skypilot[aws,gcp,azure,lambda]" # pick your clouds sky check @@ -120,7 +120,7 @@ sky launch llama-30b.yaml -c llama-30b -s --env LLAMA_URL=$LLAMA_URL sky launch llama-65b.yaml -c llama-65b -s --env LLAMA_URL=$LLAMA_URL ``` -To see details about these flags, see [CLI docs](https://skypilot.readthedocs.io/en/latest/reference/cli.html) or run `sky launch -h`. +To see details about these flags, see [CLI docs](https://docs.skypilot.co/en/latest/reference/cli.html) or run `sky launch -h`. ## Cleaning up When you are done, you can stop or tear down the cluster: @@ -140,7 +140,7 @@ When you are done, you can stop or tear down the cluster: ``` **To see your clusters**, run `sky status`, which is a single pane of glass for all your clusters across regions/clouds. -To learn more about various SkyPilot commands, see [Quickstart](https://skypilot.readthedocs.io/en/latest/getting-started/quickstart.html). +To learn more about various SkyPilot commands, see [Quickstart](https://docs.skypilot.co/en/latest/getting-started/quickstart.html). ## Why SkyPilot? @@ -166,12 +166,12 @@ SkyPilot's `sky launch` command makes this entirely automatic. It performs *auto - low-cost GPU cloud (Lambda; >3x cheaper than AWS/Azure/GCP) - spot instances (>3x cheaper than on-demand) - automatically choosing the cheapest cloud/region/zone -- auto-stopping & auto-termination of instances ([docs](https://skypilot.readthedocs.io/en/latest/reference/auto-stop.html)) +- auto-stopping & auto-termination of instances ([docs](https://docs.skypilot.co/en/latest/reference/auto-stop.html)) ## Recap Congratulations! You have used SkyPilot to launch a LLaMA-based chatbot on the cloud with just one command. The system automatically handles setting up instances and it offers cloud portability, higher GPU availability, and cost reduction. -LLaMA chatbots are just one example app. To leverage these benefits for your own ML projects on the cloud, we recommend the [Quickstart guide](https://skypilot.readthedocs.io/en/latest/getting-started/quickstart.html). +LLaMA chatbots are just one example app. To leverage these benefits for your own ML projects on the cloud, we recommend the [Quickstart guide](https://docs.skypilot.co/en/latest/getting-started/quickstart.html). *Feedback or questions? Want to run other LLM models?* Feel free to drop a note to the SkyPilot team on [GitHub](https://github.com/skypilot-org/skypilot/) or [Slack](http://slack.skypilot.co/) and we're happy to chat! diff --git a/llm/localgpt/README.md b/llm/localgpt/README.md index 17b3332ee30..c52f1b08851 100644 --- a/llm/localgpt/README.md +++ b/llm/localgpt/README.md @@ -13,7 +13,7 @@ Install SkyPilot and check your setup of cloud credentials: pip install git+https://github.com/skypilot-org/skypilot.git sky check ``` -See [docs](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html) for more. +See [docs](https://docs.skypilot.co/en/latest/getting-started/installation.html) for more. Once you are done, we will use [SkyPilot YAML for localGPT](https://github.com/skypilot-org/skypilot/tree/master/llm/localgpt/localgpt.yaml) to define our task and run it. diff --git a/llm/lorax/README.md b/llm/lorax/README.md index edd153d45f1..b1d5def6e78 100644 --- a/llm/lorax/README.md +++ b/llm/lorax/README.md @@ -40,7 +40,7 @@ sky launch -c lorax-cluster lorax.yaml By default, this config will deploy `Mistral-7B-Instruct`, but this can be overridden by running `sky launch` with the argument `--env MODEL_ID=`. -**NOTE:** This config will launch the instance on a public IP. It's highly recommended to secure the instance within a private subnet. See the [Advanced Configurations](https://skypilot.readthedocs.io/en/latest/reference/config.html#config-yaml) section of the SkyPilot docs for options to run within VPC and setup private IPs. +**NOTE:** This config will launch the instance on a public IP. It's highly recommended to secure the instance within a private subnet. See the [Advanced Configurations](https://docs.skypilot.co/en/latest/reference/config.html#config-yaml) section of the SkyPilot docs for options to run within VPC and setup private IPs. ## Prompt LoRAX w/ base model diff --git a/llm/mixtral/README.md b/llm/mixtral/README.md index 0bddb77c665..8456dbb5fcf 100644 --- a/llm/mixtral/README.md +++ b/llm/mixtral/README.md @@ -15,7 +15,7 @@ SkyPilot can help you serve Mixtral by automatically finding available resources sky launch -c mixtral ./serve.yaml ``` -Note that we specify the following resources, so that SkyPilot will automatically find any of the available GPUs specified by automatically [failover](https://skypilot.readthedocs.io/en/latest/examples/auto-failover.html) through all the candidates (in the order of the prices): +Note that we specify the following resources, so that SkyPilot will automatically find any of the available GPUs specified by automatically [failover](https://docs.skypilot.co/en/latest/examples/auto-failover.html) through all the candidates (in the order of the prices): ```yaml resources: @@ -82,7 +82,7 @@ curl http://$IP:8000/v1/chat/completions \ ## 2. Serve with multiple instances -When scaling up is required, [SkyServe](https://skypilot.readthedocs.io/en/latest/serving/sky-serve.html) is the library built on top of SkyPilot, which can help you scale up the serving with multiple instances, while still providing a single endpoint. To serve Mixtral with multiple instances, run the following command: +When scaling up is required, [SkyServe](https://docs.skypilot.co/en/latest/serving/sky-serve.html) is the library built on top of SkyPilot, which can help you scale up the serving with multiple instances, while still providing a single endpoint. To serve Mixtral with multiple instances, run the following command: ```bash sky serve up -n mixtral ./serve.yaml diff --git a/llm/ollama/README.md b/llm/ollama/README.md index 16a8a9ea8e4..2d15b598381 100644 --- a/llm/ollama/README.md +++ b/llm/ollama/README.md @@ -17,7 +17,7 @@ To get started, install the latest version of SkyPilot: pip install "skypilot-nightly[all]" ``` -For detailed installation instructions, please refer to the [installation guide](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html). +For detailed installation instructions, please refer to the [installation guide](https://docs.skypilot.co/en/latest/getting-started/installation.html). Once installed, run `sky check` to verify you have cloud access. @@ -296,4 +296,4 @@ To shut down all resources: sky serve down ollama ``` -See more details in [SkyServe docs](https://skypilot.readthedocs.io/en/latest/serving/sky-serve.html). +See more details in [SkyServe docs](https://docs.skypilot.co/en/latest/serving/sky-serve.html). diff --git a/llm/pixtral/README.md b/llm/pixtral/README.md index fccde1de7ad..987769c892a 100644 --- a/llm/pixtral/README.md +++ b/llm/pixtral/README.md @@ -57,7 +57,7 @@ This guide shows how to use run and deploy this multimodal model on your own clo pip install 'skypilot[all]' sky check ``` -Detailed instructions for installation and cloud setup [here](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html). +Detailed instructions for installation and cloud setup [here](https://docs.skypilot.co/en/latest/getting-started/installation.html). 2. Launch the model on any cloud or Kubernetes: ```bash @@ -150,7 +150,7 @@ These descriptions should give you a clear picture of the scenes depicted in the ## Scale Up Pixtral Endpoint as a Service -1. Start a service with [SkyServe](https://skypilot.readthedocs.io/en/latest/serving/sky-serve.html): +1. Start a service with [SkyServe](https://docs.skypilot.co/en/latest/serving/sky-serve.html): ```bash sky serve up -n pixtral pixtral.yaml ``` diff --git a/llm/qwen/README.md b/llm/qwen/README.md index 6846fc71f2f..d4c73edb842 100644 --- a/llm/qwen/README.md +++ b/llm/qwen/README.md @@ -27,7 +27,7 @@ As of Jun 2024, Qwen1.5-110B-Chat is ranked higher than GPT-4-0613 on the [LMSYS ## Running your own Qwen with SkyPilot -After [installing SkyPilot](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html), run your own Qwen model on vLLM with SkyPilot in 1-click: +After [installing SkyPilot](https://docs.skypilot.co/en/latest/getting-started/installation.html), run your own Qwen model on vLLM with SkyPilot in 1-click: 1. Start serving Qwen 110B on a single instance with any available GPU in the list specified in [qwen15-110b.yaml](https://github.com/skypilot-org/skypilot/blob/master/llm/qwen/qwen15-110b.yaml) with a vLLM powered OpenAI-compatible endpoint (You can also switch to [qwen25-72b.yaml](https://github.com/skypilot-org/skypilot/blob/master/llm/qwen/qwen25-72b.yaml) or [qwen25-7b.yaml](https://github.com/skypilot-org/skypilot/blob/master/llm/qwen/qwen25-7b.yaml) for a smaller model): @@ -98,7 +98,7 @@ curl http://$ENDPOINT/v1/chat/completions \ ## Scale up the service with SkyServe -1. With [SkyPilot Serving](https://skypilot.readthedocs.io/en/latest/serving/sky-serve.html), a serving library built on top of SkyPilot, scaling up the Qwen service is as simple as running: +1. With [SkyPilot Serving](https://docs.skypilot.co/en/latest/serving/sky-serve.html), a serving library built on top of SkyPilot, scaling up the Qwen service is as simple as running: ```bash sky serve up -n qwen ./qwen25-72b.yaml ``` diff --git a/llm/sglang/README.md b/llm/sglang/README.md index 7d41b8fc168..f6bac3c71ad 100644 --- a/llm/sglang/README.md +++ b/llm/sglang/README.md @@ -21,7 +21,7 @@ sky check ``` ## Serving vision-language model LLaVA with SGLang for more traffic using SkyServe -1. Create a [`SkyServe Service YAML`](https://skypilot.readthedocs.io/en/latest/serving/service-yaml-spec.html) with a `service` section: +1. Create a [`SkyServe Service YAML`](https://docs.skypilot.co/en/latest/serving/service-yaml-spec.html) with a `service` section: ```yaml service: @@ -33,7 +33,7 @@ service: The entire Service YAML can be found here: [llava.yaml](https://github.com/skypilot-org/skypilot/tree/master/llm/sglang/llava.yaml). -2. Start serving by using [SkyServe](https://skypilot.readthedocs.io/en/latest/serving/sky-serve.html) CLI: +2. Start serving by using [SkyServe](https://docs.skypilot.co/en/latest/serving/sky-serve.html) CLI: ```bash sky serve up -n sglang-llava llava.yaml ``` @@ -117,7 +117,7 @@ You should get a similar response as the following: ## Serving Llama-2 with SGLang for more traffic using SkyServe 1. The process is the same as serving LLaVA, but with the model path changed to Llama-2. Below are example commands for reference. -2. Start serving by using [SkyServe](https://skypilot.readthedocs.io/en/latest/serving/sky-serve.html) CLI: +2. Start serving by using [SkyServe](https://docs.skypilot.co/en/latest/serving/sky-serve.html) CLI: ```bash sky serve up -n sglang-llama2 llama2.yaml --env HF_TOKEN= ``` diff --git a/llm/tabby/README.md b/llm/tabby/README.md index 569b64538c1..9aa4ca4c803 100644 --- a/llm/tabby/README.md +++ b/llm/tabby/README.md @@ -17,13 +17,13 @@ This post shows how to use SkyPilot to host an ai coding assistant with just one - OpenAPI interface, easy to integrate with existing infrastructure (e.g Cloud IDE). - Supports consumer-grade GPUs. -[**SkyPilot**](https://github.com/skypilot-org/skypilot) is an open-source framework from UC Berkeley for seamlessly running machine learning on any cloud. With a simple CLI, users can easily launch many clusters and jobs, while substantially lowering their cloud bills. Currently, [AWS](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#aws), [GCP](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#gcp), [Azure](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#azure), [Lambda Cloud](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#lambda-cloud), [IBM](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#ibm), [Oracle Cloud Infrastructure (OCI)](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#oracle-cloud-infrastructure-oci), [Cloudflare R2](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#cloudflare-r2) and [Samsung Cloud Platform (SCP)](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#samsung-cloud-platform-scp) are supported. See [docs](https://skypilot.readthedocs.io/en/latest/) to learn more. +[**SkyPilot**](https://github.com/skypilot-org/skypilot) is an open-source framework from UC Berkeley for seamlessly running machine learning on any cloud. With a simple CLI, users can easily launch many clusters and jobs, while substantially lowering their cloud bills. Currently, [AWS](https://docs.skypilot.co/en/latest/getting-started/installation.html#aws), [GCP](https://docs.skypilot.co/en/latest/getting-started/installation.html#gcp), [Azure](https://docs.skypilot.co/en/latest/getting-started/installation.html#azure), [Lambda Cloud](https://docs.skypilot.co/en/latest/getting-started/installation.html#lambda-cloud), [IBM](https://docs.skypilot.co/en/latest/getting-started/installation.html#ibm), [Oracle Cloud Infrastructure (OCI)](https://docs.skypilot.co/en/latest/getting-started/installation.html#oracle-cloud-infrastructure-oci), [Cloudflare R2](https://docs.skypilot.co/en/latest/getting-started/installation.html#cloudflare-r2) and [Samsung Cloud Platform (SCP)](https://docs.skypilot.co/en/latest/getting-started/installation.html#samsung-cloud-platform-scp) are supported. See [docs](https://docs.skypilot.co/en/latest/) to learn more. ## Steps All YAML files used below live in [the SkyPilot repo](https://github.com/skypilot-org/skypilot/tree/master/llm/tabby). -1. Install SkyPilot and [check that cloud credentials exist](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#cloud-account-setup): +1. Install SkyPilot and [check that cloud credentials exist](https://docs.skypilot.co/en/latest/getting-started/installation.html#cloud-account-setup): ```bash # pip install skypilot @@ -94,4 +94,4 @@ When you are done, you can stop or tear down the cluster: ``` **To see your clusters**, run `sky status`, which is a single pane of glass for all your clusters across regions/clouds. -To learn more about various SkyPilot commands, see [Quickstart](https://skypilot.readthedocs.io/en/latest/getting-started/quickstart.html). +To learn more about various SkyPilot commands, see [Quickstart](https://docs.skypilot.co/en/latest/getting-started/quickstart.html). diff --git a/llm/vicuna-llama-2/README.md b/llm/vicuna-llama-2/README.md index e392b231e64..31d78a243cb 100644 --- a/llm/vicuna-llama-2/README.md +++ b/llm/vicuna-llama-2/README.md @@ -120,7 +120,7 @@ sky launch --no-use-spot ... ### Reducing costs by 3x with spot instances -[SkyPilot Managed Jobs](https://skypilot.readthedocs.io/en/latest/examples/managed-jobs.html) is a library built on top of SkyPilot that helps users run jobs on spot instances without worrying about interruptions. That is the tool used by the LMSYS organization to train the first version of Vicuna (more details can be found in their [launch blog post](https://lmsys.org/blog/2023-03-30-vicuna/) and [example](https://github.com/skypilot-org/skypilot/tree/master/llm/vicuna)). With this, the training cost can be reduced from $1000 to **\$300**. +[SkyPilot Managed Jobs](https://docs.skypilot.co/en/latest/examples/managed-jobs.html) is a library built on top of SkyPilot that helps users run jobs on spot instances without worrying about interruptions. That is the tool used by the LMSYS organization to train the first version of Vicuna (more details can be found in their [launch blog post](https://lmsys.org/blog/2023-03-30-vicuna/) and [example](https://github.com/skypilot-org/skypilot/tree/master/llm/vicuna)). With this, the training cost can be reduced from $1000 to **\$300**. To use SkyPilot Managed Spot Jobs, you can simply replace `sky launch` with `sky jobs launch` in the above command: diff --git a/llm/vicuna/README.md b/llm/vicuna/README.md index 6d9f46127d4..b8c6ab100d8 100644 --- a/llm/vicuna/README.md +++ b/llm/vicuna/README.md @@ -4,7 +4,7 @@ Vicuna LLM

          -This README contains instructions to run and train Vicuna, an open-source LLM chatbot with quality comparable to ChatGPT. The Vicuna release was trained using SkyPilot on [cloud spot instances](https://skypilot.readthedocs.io/en/latest/examples/spot-jobs.html), with a cost of ~$300. +This README contains instructions to run and train Vicuna, an open-source LLM chatbot with quality comparable to ChatGPT. The Vicuna release was trained using SkyPilot on [cloud spot instances](https://docs.skypilot.co/en/latest/examples/spot-jobs.html), with a cost of ~$300. * [Blog post](https://lmsys.org/blog/2023-03-30-vicuna/) * [Demo](https://chat.lmsys.org/) diff --git a/llm/vllm/README.md b/llm/vllm/README.md index 78617f3746d..c150ae46e2d 100644 --- a/llm/vllm/README.md +++ b/llm/vllm/README.md @@ -112,7 +112,7 @@ curl http://$IP:8000/v1/chat/completions \ ## Serving Llama-2 with vLLM for more traffic using SkyServe To scale up the model serving for more traffic, we introduced SkyServe to enable a user to easily deploy multiple replica of the model: -1. Adding an `service` section in the above `serve-openai-api.yaml` file to make it an [`SkyServe Service YAML`](https://skypilot.readthedocs.io/en/latest/serving/service-yaml-spec.html): +1. Adding an `service` section in the above `serve-openai-api.yaml` file to make it an [`SkyServe Service YAML`](https://docs.skypilot.co/en/latest/serving/service-yaml-spec.html): ```yaml # The newly-added `service` section to the `serve-openai-api.yaml` file. @@ -125,7 +125,7 @@ service: The entire Service YAML can be found here: [service.yaml](https://github.com/skypilot-org/skypilot/tree/master/llm/vllm/service.yaml). -2. Start serving by using [SkyServe](https://skypilot.readthedocs.io/en/latest/serving/sky-serve.html) CLI: +2. Start serving by using [SkyServe](https://docs.skypilot.co/en/latest/serving/sky-serve.html) CLI: ```bash sky serve up -n vllm-llama2 service.yaml ``` diff --git a/llm/yi/README.md b/llm/yi/README.md index 1353320aa9f..b9d5c4a761d 100644 --- a/llm/yi/README.md +++ b/llm/yi/README.md @@ -19,7 +19,7 @@ ## Running Yi model with SkyPilot -After [installing SkyPilot](https://skypilot.readthedocs.io/en/latest/getting-started/installation.html), run your own Yi model on vLLM with SkyPilot in 1-click: +After [installing SkyPilot](https://docs.skypilot.co/en/latest/getting-started/installation.html), run your own Yi model on vLLM with SkyPilot in 1-click: 1. Start serving Yi-1.5 34B on a single instance with any available GPU in the list specified in [yi15-34b.yaml](https://github.com/skypilot-org/skypilot/blob/master/llm/yi/yi15-34b.yaml) with a vLLM powered OpenAI-compatible endpoint (You can also switch to [yicoder-9b.yaml](https://github.com/skypilot-org/skypilot/blob/master/llm/yi/yicoder-9b.yaml) or [other model](https://github.com/skypilot-org/skypilot/tree/master/llm/yi) for a smaller model): diff --git a/sky/adaptors/cloudflare.py b/sky/adaptors/cloudflare.py index 864248614f3..e9c5613c97e 100644 --- a/sky/adaptors/cloudflare.py +++ b/sky/adaptors/cloudflare.py @@ -177,7 +177,7 @@ def check_credentials() -> Tuple[bool, Optional[str]]: hints += f'\n{_INDENT_PREFIX} $ mkdir -p ~/.cloudflare' hints += f'\n{_INDENT_PREFIX} $ echo > ~/.cloudflare/accountid' # pylint: disable=line-too-long hints += f'\n{_INDENT_PREFIX}For more info: ' - hints += 'https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#cloudflare-r2' # pylint: disable=line-too-long + hints += 'https://docs.skypilot.co/en/latest/getting-started/installation.html#cloudflare-r2' # pylint: disable=line-too-long return (False, hints) if hints else (True, hints) diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index 0c67ec6b328..8974a0129bd 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -1092,7 +1092,7 @@ def _gcp_handler(blocked_resources: Set['resources_lib.Resources'], 'having the required permissions and the user ' 'account does not have enough permission to ' 'update it. Please contact your administrator and ' - 'check out: https://skypilot.readthedocs.io/en/latest/cloud-setup/cloud-permissions/gcp.html\n' # pylint: disable=line-too-long + 'check out: https://docs.skypilot.co/en/latest/cloud-setup/cloud-permissions/gcp.html\n' # pylint: disable=line-too-long f'Details: {message}') _add_to_blocked_resources( blocked_resources, @@ -1389,8 +1389,7 @@ def _retry_zones( f'in {to_provision.cloud}. ' f'{colorama.Style.RESET_ALL}' f'To request quotas, check the instruction: ' - f'https://skypilot.readthedocs.io/en/latest/cloud-setup/quota.html.' # pylint: disable=line-too-long - ) + f'https://docs.skypilot.co/en/latest/cloud-setup/quota.html.') for zones in self._yield_zones(to_provision, num_nodes, cluster_name, prev_cluster_status, diff --git a/sky/check.py b/sky/check.py index dcaa349d234..ee5ea77234b 100644 --- a/sky/check.py +++ b/sky/check.py @@ -146,7 +146,7 @@ def get_all_clouds(): dim=True) + click.style(f'sky check{clouds_arg}', bold=True) + '\n' + click.style( 'If any problems remain, refer to detailed docs at: ' - 'https://skypilot.readthedocs.io/en/latest/getting-started/installation.html', # pylint: disable=line-too-long + 'https://docs.skypilot.co/en/latest/getting-started/installation.html', # pylint: disable=line-too-long dim=True)) if disallowed_clouds_hint: diff --git a/sky/clouds/aws.py b/sky/clouds/aws.py index c42d67f8ba4..cafc789c5be 100644 --- a/sky/clouds/aws.py +++ b/sky/clouds/aws.py @@ -617,7 +617,7 @@ def check_credentials(cls) -> Tuple[bool, Optional[str]]: 'Failed to fetch the availability zones for the account ' f'{identity_str}. It is likely due to permission issues, please' ' check the minimal permission required for AWS: ' - 'https://skypilot.readthedocs.io/en/latest/cloud-setup/cloud-permissions/aws.html' # pylint: disable= + 'https://docs.skypilot.co/en/latest/cloud-setup/cloud-permissions/aws.html' # pylint: disable= f'\n{cls._INDENT_PREFIX}Details: ' f'{common_utils.format_exception(e, use_bracket=True)}') return True, hints diff --git a/sky/clouds/cudo.py b/sky/clouds/cudo.py index 145a5d1c26e..25d285da185 100644 --- a/sky/clouds/cudo.py +++ b/sky/clouds/cudo.py @@ -42,8 +42,7 @@ class Cudo(clouds.Cloud): f'{_INDENT_PREFIX} $ cudoctl init\n' f'{_INDENT_PREFIX}For more info: ' # pylint: disable=line-too-long - 'https://skypilot.readthedocs.io/en/latest/getting-started/installation.html' - ) + 'https://docs.skypilot.co/en/latest/getting-started/installation.html') _PROJECT_HINT = ( 'Create a project and then set it as the default project,:\n' @@ -51,8 +50,7 @@ class Cudo(clouds.Cloud): f'{_INDENT_PREFIX} $ cudoctl init\n' f'{_INDENT_PREFIX}For more info: ' # pylint: disable=line-too-long - 'https://skypilot.readthedocs.io/en/latest/getting-started/installation.html' - ) + 'https://docs.skypilot.co/en/latest/getting-started/installation.html') _CLOUD_UNSUPPORTED_FEATURES = { clouds.CloudImplementationFeatures.STOP: 'Stopping not supported.', diff --git a/sky/clouds/gcp.py b/sky/clouds/gcp.py index 8a28a35505e..c0f22cc860b 100644 --- a/sky/clouds/gcp.py +++ b/sky/clouds/gcp.py @@ -167,7 +167,7 @@ class GCP(clouds.Cloud): # ~/.config/gcloud/application_default_credentials.json. f'{_INDENT_PREFIX} $ gcloud auth application-default login\n' f'{_INDENT_PREFIX}For more info: ' - 'https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#google-cloud-platform-gcp' # pylint: disable=line-too-long + 'https://docs.skypilot.co/en/latest/getting-started/installation.html#google-cloud-platform-gcp' # pylint: disable=line-too-long ) _APPLICATION_CREDENTIAL_HINT = ( 'Run the following commands:\n' @@ -175,7 +175,7 @@ class GCP(clouds.Cloud): f'{_INDENT_PREFIX}Or set the environment variable GOOGLE_APPLICATION_CREDENTIALS ' 'to the path of your service account key file.\n' f'{_INDENT_PREFIX}For more info: ' - 'https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#google-cloud-platform-gcp' # pylint: disable=line-too-long + 'https://docs.skypilot.co/en/latest/getting-started/installation.html#google-cloud-platform-gcp' # pylint: disable=line-too-long ) _SUPPORTED_DISK_TIERS = set(resources_utils.DiskTier) @@ -836,7 +836,7 @@ def check_credentials(cls) -> Tuple[bool, Optional[str]]: 'The following permissions are not enabled for the current ' f'GCP identity ({identity_str}):\n ' f'{diffs}\n ' - 'For more details, visit: https://skypilot.readthedocs.io/en/latest/cloud-setup/cloud-permissions/gcp.html') # pylint: disable=line-too-long + 'For more details, visit: https://docs.skypilot.co/en/latest/cloud-setup/cloud-permissions/gcp.html') # pylint: disable=line-too-long return True, None def get_credential_file_mounts(self) -> Dict[str, str]: diff --git a/sky/clouds/oci.py b/sky/clouds/oci.py index 95f4efe95e3..d4ae6f298d2 100644 --- a/sky/clouds/oci.py +++ b/sky/clouds/oci.py @@ -390,7 +390,7 @@ def check_credentials(cls) -> Tuple[bool, Optional[str]]: short_credential_help_str = ( 'For more details, refer to: ' # pylint: disable=line-too-long - 'https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#oracle-cloud-infrastructure-oci' + 'https://docs.skypilot.co/en/latest/getting-started/installation.html#oracle-cloud-infrastructure-oci' ) credential_help_str = ( 'To configure credentials, go to: ' diff --git a/sky/clouds/paperspace.py b/sky/clouds/paperspace.py index 69a0d69ca61..dc309d9c9dd 100644 --- a/sky/clouds/paperspace.py +++ b/sky/clouds/paperspace.py @@ -258,7 +258,7 @@ def check_credentials(cls) -> Tuple[bool, Optional[str]]: return False, ( 'Failed to access Paperspace Cloud with credentials.\n ' 'To configure credentials, follow the instructions at: ' - 'https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#paperspace\n ' + 'https://docs.skypilot.co/en/latest/getting-started/installation.html#paperspace\n ' 'Generate API key and create a json at `~/.paperspace/config.json` with \n ' ' {"apiKey": "[YOUR API KEY]"}\n ' f'Reason: {str(e)}') diff --git a/sky/clouds/runpod.py b/sky/clouds/runpod.py index 6ddbfe0f1e9..b1cc016abd9 100644 --- a/sky/clouds/runpod.py +++ b/sky/clouds/runpod.py @@ -253,7 +253,7 @@ def check_credentials(cls) -> Tuple[bool, Optional[str]]: ' Credentials can be set up by running: \n' f' $ pip install runpod \n' f' $ runpod config\n' - ' For more information, see https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#runpod' # pylint: disable=line-too-long + ' For more information, see https://docs.skypilot.co/en/latest/getting-started/installation.html#runpod' # pylint: disable=line-too-long ) return True, None diff --git a/sky/clouds/service_catalog/common.py b/sky/clouds/service_catalog/common.py index 67c6e09b27e..29df92d7535 100644 --- a/sky/clouds/service_catalog/common.py +++ b/sky/clouds/service_catalog/common.py @@ -296,7 +296,7 @@ def _get_all_supported_regions_str() -> str: faq_msg = ( '\nIf a region is not included in the following ' 'list, please check the FAQ docs for how to fetch ' - 'its catalog info.\nhttps://skypilot.readthedocs.io' + 'its catalog info.\nhttps://docs.skypilot.co' '/en/latest/reference/faq.html#advanced-how-to-' 'make-skypilot-use-all-global-regions') error_msg += faq_msg + _get_all_supported_regions_str() diff --git a/sky/clouds/vsphere.py b/sky/clouds/vsphere.py index 92e62a8a240..1fd76400c9f 100644 --- a/sky/clouds/vsphere.py +++ b/sky/clouds/vsphere.py @@ -266,7 +266,7 @@ def check_credentials(cls) -> Tuple[bool, Optional[str]]: 'Run the following commands:' f'\n{cls._INDENT_PREFIX} $ pip install skypilot[vSphere]' f'\n{cls._INDENT_PREFIX}Credentials may also need to be set. ' - 'For more details. See https://skypilot.readthedocs.io/en/latest/getting-started/installation.html#vmware-vsphere' # pylint: disable=line-too-long + 'For more details. See https://docs.skypilot.co/en/latest/getting-started/installation.html#vmware-vsphere' # pylint: disable=line-too-long f'{common_utils.format_exception(e, use_bracket=True)}') required_keys = ['name', 'username', 'password', 'clusters'] diff --git a/sky/data/storage.py b/sky/data/storage.py index 897f2f96b94..d3d18a9d18f 100644 --- a/sky/data/storage.py +++ b/sky/data/storage.py @@ -1157,7 +1157,7 @@ def _validate(self): 'Storage \'store: s3\' specified, but ' \ 'AWS access is disabled. To fix, enable '\ 'AWS by running `sky check`. More info: '\ - 'https://skypilot.readthedocs.io/en/latest/getting-started/installation.html.' # pylint: disable=line-too-long + 'https://docs.skypilot.co/en/latest/getting-started/installation.html.' # pylint: disable=line-too-long ) @classmethod @@ -1588,7 +1588,7 @@ def _validate(self): 'Storage \'store: gcs\' specified, but ' 'GCP access is disabled. To fix, enable ' 'GCP by running `sky check`. ' - 'More info: https://skypilot.readthedocs.io/en/latest/getting-started/installation.html.') # pylint: disable=line-too-long + 'More info: https://docs.skypilot.co/en/latest/getting-started/installation.html.') # pylint: disable=line-too-long @classmethod def validate_name(cls, name: str) -> str: @@ -2110,7 +2110,7 @@ def _validate(self): 'Storage "store: azure" specified, but ' 'Azure access is disabled. To fix, enable ' 'Azure by running `sky check`. More info: ' - 'https://skypilot.readthedocs.io/en/latest/getting-started/installation.html.' # pylint: disable=line-too-long + 'https://docs.skypilot.co/en/latest/getting-started/installation.html.' # pylint: disable=line-too-long ) @classmethod @@ -2813,7 +2813,7 @@ def _validate(self): 'Storage \'store: r2\' specified, but ' \ 'Cloudflare R2 access is disabled. To fix, '\ 'enable Cloudflare R2 by running `sky check`. '\ - 'More info: https://skypilot.readthedocs.io/en/latest/getting-started/installation.html.' # pylint: disable=line-too-long + 'More info: https://docs.skypilot.co/en/latest/getting-started/installation.html.' # pylint: disable=line-too-long ) def initialize(self): diff --git a/sky/provision/gcp/constants.py b/sky/provision/gcp/constants.py index 4f442709b0c..7b3fd4046b5 100644 --- a/sky/provision/gcp/constants.py +++ b/sky/provision/gcp/constants.py @@ -142,7 +142,7 @@ ] # A list of permissions required to run SkyPilot on GCP. -# Keep this in sync with https://skypilot.readthedocs.io/en/latest/cloud-setup/cloud-permissions/gcp.html # pylint: disable=line-too-long +# Keep this in sync with https://docs.skypilot.co/en/latest/cloud-setup/cloud-permissions/gcp.html # pylint: disable=line-too-long VM_MINIMAL_PERMISSIONS = [ 'compute.disks.create', 'compute.disks.list', diff --git a/sky/provision/kubernetes/instance.py b/sky/provision/kubernetes/instance.py index 11e3d2d80ad..0682b105a4f 100644 --- a/sky/provision/kubernetes/instance.py +++ b/sky/provision/kubernetes/instance.py @@ -722,7 +722,7 @@ def _create_pods(region: str, cluster_name_on_cloud: str, 'Continuing without using nvidia RuntimeClass.\n' 'If you are on a K3s cluster, manually ' 'override runtimeClassName in ~/.sky/config.yaml. ' - 'For more details, refer to https://skypilot.readthedocs.io/en/latest/reference/config.html') # pylint: disable=line-too-long + 'For more details, refer to https://docs.skypilot.co/en/latest/reference/config.html') # pylint: disable=line-too-long needs_gpus = False limits = pod_spec['spec']['containers'][0].get('resources', diff --git a/sky/provision/kubernetes/utils.py b/sky/provision/kubernetes/utils.py index 7442c9be7a6..5a7db7e91d6 100644 --- a/sky/provision/kubernetes/utils.py +++ b/sky/provision/kubernetes/utils.py @@ -972,7 +972,7 @@ def is_kubeconfig_exec_auth( '~/.sky/config.yaml:\n' ' kubernetes:\n' ' remote_identity: SERVICE_ACCOUNT\n' - ' More: https://skypilot.readthedocs.io/en/latest/' + ' More: https://docs.skypilot.co/en/latest/' 'reference/config.html') return True, exec_msg return False, None diff --git a/sky/setup_files/setup.py b/sky/setup_files/setup.py index 121f96d8e8b..0770da28c43 100644 --- a/sky/setup_files/setup.py +++ b/sky/setup_files/setup.py @@ -186,6 +186,6 @@ def parse_readme(readme: str) -> str: 'Homepage': 'https://github.com/skypilot-org/skypilot', 'Issues': 'https://github.com/skypilot-org/skypilot/issues', 'Discussion': 'https://github.com/skypilot-org/skypilot/discussions', - 'Documentation': 'https://skypilot.readthedocs.io/en/latest/', + 'Documentation': 'https://docs.skypilot.co/', }, ) diff --git a/sky/skypilot_config.py b/sky/skypilot_config.py index aae62afc616..e973754f4c9 100644 --- a/sky/skypilot_config.py +++ b/sky/skypilot_config.py @@ -238,7 +238,7 @@ def _try_load_config() -> None: _dict, schemas.get_config_schema(), f'Invalid config YAML ({config_path}). See: ' - 'https://skypilot.readthedocs.io/en/latest/reference/config.html. ' # pylint: disable=line-too-long + 'https://docs.skypilot.co/en/latest/reference/config.html. ' # pylint: disable=line-too-long 'Error: ', skip_none=False) diff --git a/sky/utils/kubernetes/deploy_remote_cluster.sh b/sky/utils/kubernetes/deploy_remote_cluster.sh index 94736474289..8d7ba3e5729 100755 --- a/sky/utils/kubernetes/deploy_remote_cluster.sh +++ b/sky/utils/kubernetes/deploy_remote_cluster.sh @@ -1,5 +1,5 @@ #!/bin/bash -# Refer to https://skypilot.readthedocs.io/en/latest/reservations/existing-machines.html for details on how to use this script. +# Refer to https://docs.skypilot.co/en/latest/reservations/existing-machines.html for details on how to use this script. set -e # Colors for nicer UX diff --git a/sky/utils/kubernetes/gpu_labeler.py b/sky/utils/kubernetes/gpu_labeler.py index 14fbbdedca5..a9d899f4348 100644 --- a/sky/utils/kubernetes/gpu_labeler.py +++ b/sky/utils/kubernetes/gpu_labeler.py @@ -115,7 +115,7 @@ def label(): print('Continuing without using nvidia RuntimeClass. ' 'This may fail on K3s clusters. ' 'For more details, refer to K3s deployment notes at: ' - 'https://skypilot.readthedocs.io/en/latest/reference/kubernetes/kubernetes-setup.html') # pylint: disable=line-too-long + 'https://docs.skypilot.co/en/latest/reference/kubernetes/kubernetes-setup.html') # pylint: disable=line-too-long nvidia_exists = False if nvidia_exists: From baf028de1b878ff849781121a3c8662deb9bc335 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Wed, 18 Dec 2024 09:27:27 -0800 Subject: [PATCH 146/152] [UX] Fix unnecessary OCI logging (#4476) Sync PR: fix-oci-logging-master Co-authored-by: github-actions[bot] --- sky/adaptors/oci.py | 7 +++ tests/unit_tests/sky/adaptors/test_oci.py | 65 +++++++++++++++++++++++ 2 files changed, 72 insertions(+) create mode 100644 tests/unit_tests/sky/adaptors/test_oci.py diff --git a/sky/adaptors/oci.py b/sky/adaptors/oci.py index 7a5fafa854a..8fe09479a38 100644 --- a/sky/adaptors/oci.py +++ b/sky/adaptors/oci.py @@ -1,9 +1,16 @@ """Oracle OCI cloud adaptor""" +import logging import os from sky.adaptors import common +# Suppress OCI circuit breaker logging before lazy import, because +# oci modules prints additional message during imports, i.e., the +# set_logger in the LazyImport called after imports will not take +# effect. +logging.getLogger('oci.circuit_breaker').setLevel(logging.WARNING) + CONFIG_PATH = '~/.oci/config' ENV_VAR_OCI_CONFIG = 'OCI_CONFIG' diff --git a/tests/unit_tests/sky/adaptors/test_oci.py b/tests/unit_tests/sky/adaptors/test_oci.py new file mode 100644 index 00000000000..59c2b1f99b7 --- /dev/null +++ b/tests/unit_tests/sky/adaptors/test_oci.py @@ -0,0 +1,65 @@ +"""Tests for OCI adaptor.""" +import logging + +import pytest + +from sky import check as sky_check +from sky.adaptors import oci +from sky.utils import log_utils + + +def test_oci_circuit_breaker_logging(): + """Test that OCI circuit breaker logging is properly configured.""" + # Get the circuit breaker logger + logger = logging.getLogger('oci.circuit_breaker') + + # Create a handler that captures log records + log_records = [] + test_handler = logging.Handler() + test_handler.emit = lambda record: log_records.append(record) + logger.addHandler(test_handler) + + # Create a null handler to suppress logs during import + null_handler = logging.NullHandler() + logger.addHandler(null_handler) + + try: + # Verify logger starts at WARNING level (set by adaptor initialization) + initial_level = logger.getEffectiveLevel() + print( + f'Initial logger level: {initial_level} (WARNING={logging.WARNING})' + ) + assert initial_level == logging.WARNING, ( + 'OCI circuit breaker logger should be set to WARNING before initialization' + ) + + # Force OCI module import through LazyImport by accessing a module attribute + print('Attempting to import OCI module...') + try: + # This will trigger LazyImport's load_module for the actual OCI module + _ = oci.oci.config.DEFAULT_LOCATION + except (ImportError, AttributeError) as e: + # Expected when OCI SDK is not installed + print(f'Import/Attribute error as expected: {e}') + pass + + # Verify logger level after import attempt + after_level = logger.getEffectiveLevel() + print( + f'Logger level after import: {after_level} (WARNING={logging.WARNING})' + ) + assert after_level == logging.WARNING, ( + 'OCI circuit breaker logger should remain at WARNING after initialization' + ) + + # Verify no circuit breaker logs were emitted + circuit_breaker_logs = [ + record for record in log_records + if 'Circuit breaker' in record.getMessage() + ] + assert not circuit_breaker_logs, ( + 'No circuit breaker logs should be emitted during initialization') + finally: + # Clean up the handlers + logger.removeHandler(test_handler) + logger.removeHandler(null_handler) From ce1cb837e945c96eff57d5d3385c41cab33506f2 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Wed, 18 Dec 2024 11:26:24 -0800 Subject: [PATCH 147/152] [Example] PyTorch distributed training with minGPT (#4464) * Add example for distributed pytorch * update * Update examples/distributed-pytorch/README.md Co-authored-by: Romil Bhardwaj * Update examples/distributed-pytorch/README.md Co-authored-by: Romil Bhardwaj * Update examples/distributed-pytorch/README.md Co-authored-by: Romil Bhardwaj * Update examples/distributed-pytorch/README.md Co-authored-by: Romil Bhardwaj * Update examples/distributed-pytorch/README.md Co-authored-by: Romil Bhardwaj * Update examples/distributed-pytorch/README.md Co-authored-by: Romil Bhardwaj * Update examples/distributed-pytorch/README.md Co-authored-by: Romil Bhardwaj * Fix --------- Co-authored-by: Romil Bhardwaj --- examples/distributed-pytorch/README.md | 81 ++++++++++++++++++++ examples/distributed-pytorch/train-rdzv.yaml | 29 +++++++ examples/distributed-pytorch/train.yaml | 29 +++++++ 3 files changed, 139 insertions(+) create mode 100644 examples/distributed-pytorch/README.md create mode 100644 examples/distributed-pytorch/train-rdzv.yaml create mode 100644 examples/distributed-pytorch/train.yaml diff --git a/examples/distributed-pytorch/README.md b/examples/distributed-pytorch/README.md new file mode 100644 index 00000000000..6c2f7092269 --- /dev/null +++ b/examples/distributed-pytorch/README.md @@ -0,0 +1,81 @@ +# Distributed Training with PyTorch + +This example demonstrates how to run distributed training with PyTorch using SkyPilot. + +**The example is based on [PyTorch's official minGPT example](https://github.com/pytorch/examples/tree/main/distributed/minGPT-ddp)** + + +## Overview + +There are two ways to run distributed training with PyTorch: + +1. Using normal `torchrun` +2. Using `rdvz` backend + +The main difference between the two for fixed-size distributed training is that `rdvz` backend automatically handles the rank for each node, while `torchrun` requires the rank to be set manually. + +SkyPilot offers convinient built-in environment variables to help you start distributed training easily. + +### Using normal `torchrun` + + +The following command will spawn 2 nodes with 2 L4 GPU each: +``` +sky launch -c train train.yaml +``` + +In [train.yaml](./train.yaml), we use `torchrun` to launch the training and set the arguments for distributed training using [environment variables](https://docs.skypilot.co/en/latest/running-jobs/environment-variables.html#skypilot-environment-variables) provided by SkyPilot. + +```yaml +run: | + cd examples/mingpt + MASTER_ADDR=$(echo "$SKYPILOT_NODE_IPS" | head -n1) + torchrun \ + --nnodes=$SKYPILOT_NUM_NODES \ + --nproc_per_node=$SKYPILOT_NUM_GPUS_PER_NODE \ + --master_addr=$MASTER_ADDR \ + --master_port=8008 \ + --node_rank=${SKYPILOT_NODE_RANK} \ + main.py +``` + + + +### Using `rdzv` backend + +`rdzv` is an alternative backend for distributed training: + +``` +sky launch -c train-rdzv train-rdzv.yaml +``` + +In [train-rdzv.yaml](./train-rdzv.yaml), we use `torchrun` to launch the training and set the arguments for distributed training using [environment variables](https://docs.skypilot.co/en/latest/running-jobs/environment-variables.html#skypilot-environment-variables) provided by SkyPilot. + +```yaml +run: | + cd examples/mingpt + MASTER_ADDR=$(echo "$SKYPILOT_NODE_IPS" | head -n1) + echo "Starting distributed training, head node: $MASTER_ADDR" + + torchrun \ + --nnodes=$SKYPILOT_NUM_NODES \ + --nproc_per_node=$SKYPILOT_NUM_GPUS_PER_NODE \ + --rdzv_backend=c10d \ + --rdzv_endpoint=$MASTER_ADDR:29500 \ + --rdzv_id $SKYPILOT_TASK_ID \ + main.py +``` + + +## Scale up + +If you would like to scale up the training, you can simply change the resources requirement, and SkyPilot's built-in environment variables will be set automatically. + +For example, the following command will spawn 4 nodes with 4 L4 GPUs each. + +``` +sky launch -c train train.yaml --num-nodes 4 --gpus L4:4 --cpus 8+ +``` + +We increase the `--cpus` to 8+ as well to avoid the performance to be bottlenecked by the CPU. + diff --git a/examples/distributed-pytorch/train-rdzv.yaml b/examples/distributed-pytorch/train-rdzv.yaml new file mode 100644 index 00000000000..3bcd63dde4c --- /dev/null +++ b/examples/distributed-pytorch/train-rdzv.yaml @@ -0,0 +1,29 @@ +name: minGPT-ddp-rdzv + +resources: + cpus: 4+ + accelerators: L4 + +num_nodes: 2 + +setup: | + git clone --depth 1 https://github.com/pytorch/examples || true + cd examples + git filter-branch --prune-empty --subdirectory-filter distributed/minGPT-ddp + # SkyPilot's default image on AWS/GCP has CUDA 11.6 (Azure 11.5). + uv pip install -r requirements.txt "numpy<2" "torch==1.12.1+cu113" --extra-index-url https://download.pytorch.org/whl/cu113 + +run: | + cd examples/mingpt + export LOGLEVEL=INFO + + MASTER_ADDR=$(echo "$SKYPILOT_NODE_IPS" | head -n1) + echo "Starting distributed training, head node: $MASTER_ADDR" + + torchrun \ + --nnodes=$SKYPILOT_NUM_NODES \ + --nproc_per_node=$SKYPILOT_NUM_GPUS_PER_NODE \ + --rdzv_backend=c10d \ + --rdzv_endpoint=$MASTER_ADDR:29500 \ + --rdzv_id $SKYPILOT_TASK_ID \ + main.py diff --git a/examples/distributed-pytorch/train.yaml b/examples/distributed-pytorch/train.yaml new file mode 100644 index 00000000000..b45941e1485 --- /dev/null +++ b/examples/distributed-pytorch/train.yaml @@ -0,0 +1,29 @@ +name: minGPT-ddp + +resources: + cpus: 4+ + accelerators: L4 + +num_nodes: 2 + +setup: | + git clone --depth 1 https://github.com/pytorch/examples || true + cd examples + git filter-branch --prune-empty --subdirectory-filter distributed/minGPT-ddp + # SkyPilot's default image on AWS/GCP has CUDA 11.6 (Azure 11.5). + uv pip install -r requirements.txt "numpy<2" "torch==1.12.1+cu113" --extra-index-url https://download.pytorch.org/whl/cu113 + +run: | + cd examples/mingpt + export LOGLEVEL=INFO + + MASTER_ADDR=$(echo "$SKYPILOT_NODE_IPS" | head -n1) + echo "Starting distributed training, head node: $MASTER_ADDR" + + torchrun \ + --nnodes=$SKYPILOT_NUM_NODES \ + --nproc_per_node=$SKYPILOT_NUM_GPUS_PER_NODE \ + --master_addr=$MASTER_ADDR \ + --master_port=8008 \ + --node_rank=${SKYPILOT_NODE_RANK} \ + main.py From c19e94e35c8c386d8ee7111529210ea0ac650883 Mon Sep 17 00:00:00 2001 From: zpoint Date: Thu, 19 Dec 2024 10:07:50 +0800 Subject: [PATCH 148/152] Add tests for Azure spot instance (#4475) * verify azure spot instance * string style * echo * echo vm detail * bug fix * remove comment --- tests/smoke_tests/test_cluster_job.py | 28 +++++++++++++++++++++++++++ 1 file changed, 28 insertions(+) diff --git a/tests/smoke_tests/test_cluster_job.py b/tests/smoke_tests/test_cluster_job.py index 0255884ae30..18b82c649e7 100644 --- a/tests/smoke_tests/test_cluster_job.py +++ b/tests/smoke_tests/test_cluster_job.py @@ -1299,6 +1299,34 @@ def test_use_spot(generic_cloud: str): smoke_tests_utils.run_one_test(test) +@pytest.mark.azure +def test_azure_spot_instance_verification(): + """Test Azure spot instance provisioning with explicit verification. + This test verifies that when --use-spot is specified for Azure: + 1. The cluster launches successfully + 2. The instances are actually provisioned as spot instances + """ + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'azure-spot-verification', + [ + f'sky launch -c {name} --cloud azure tests/test_yamls/minimal.yaml --use-spot -y', + f'sky logs {name} 1 --status', f'TARGET_VM_NAME="{name}"; ' + 'VM_INFO=$(az vm list --query "[?contains(name, \'$TARGET_VM_NAME\')].{Name:name, ResourceGroup:resourceGroup}" -o tsv); ' + '[[ -z "$VM_INFO" ]] && exit 1; ' + 'FULL_VM_NAME=$(echo "$VM_INFO" | awk \'{print $1}\'); ' + 'RESOURCE_GROUP=$(echo "$VM_INFO" | awk \'{print $2}\'); ' + 'VM_DETAILS=$(az vm list --resource-group "$RESOURCE_GROUP" ' + '--query "[?name==\'$FULL_VM_NAME\'].{Name:name, Location:location, Priority:priority}" -o table); ' + '[[ -z "$VM_DETAILS" ]] && exit 1; ' + 'echo "VM Details:"; echo "$VM_DETAILS"; ' + 'echo "$VM_DETAILS" | grep -qw "Spot" && exit 0 || exit 1' + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + @pytest.mark.gcp def test_stop_gcp_spot(): """Test GCP spot can be stopped, autostopped, restarted.""" From 745cf598c5b5f7e5cf035c462e93ff1a254bb107 Mon Sep 17 00:00:00 2001 From: zpoint Date: Thu, 19 Dec 2024 12:29:33 +0800 Subject: [PATCH 149/152] rename pre-merge test to quicktest-core (#4486) * rename to test core * rename file --- .buildkite/generate_pipeline.py | 14 +++++++------- ...est_pre_merge.py => test_quick_tests_core.py} | 16 ++++++++++------ ...e.yaml => minimal_test_quick_tests_core.yaml} | 2 +- 3 files changed, 18 insertions(+), 14 deletions(-) rename tests/smoke_tests/{test_pre_merge.py => test_quick_tests_core.py} (63%) rename tests/test_yamls/{minimal_test_pre_merge.yaml => minimal_test_quick_tests_core.yaml} (62%) diff --git a/.buildkite/generate_pipeline.py b/.buildkite/generate_pipeline.py index 2b0f1cec788..99f29ee258a 100644 --- a/.buildkite/generate_pipeline.py +++ b/.buildkite/generate_pipeline.py @@ -5,7 +5,7 @@ tests/smoke_tests ├── test_*.py -> release pipeline -├── test_pre_merge.py -> pre-merge pipeline +├── test_quick_tests_core.py -> run quick tests on PR before merging run `PYTHONPATH=$(pwd)/tests:$PYTHONPATH python .buildkite/generate_pipeline.py` to generate the pipeline for testing. The CI will run this script as a pre-step, @@ -208,8 +208,8 @@ def _convert_release(test_files: List[str]): extra_env={cloud: '1' for cloud in CLOUD_QUEUE_MAP}) -def _convert_pre_merge(test_files: List[str]): - yaml_file_path = '.buildkite/pipeline_smoke_tests_pre_merge.yaml' +def _convert_quick_tests_core(test_files: List[str]): + yaml_file_path = '.buildkite/pipeline_smoke_tests_quick_tests_core.yaml' output_file_pipelines = [] for test_file in test_files: print(f'Converting {test_file} to {yaml_file_path}') @@ -234,18 +234,18 @@ def _convert_pre_merge(test_files: List[str]): def main(): test_files = os.listdir('tests/smoke_tests') release_files = [] - pre_merge_files = [] + quick_tests_core_files = [] for test_file in test_files: if not test_file.startswith('test_'): continue test_file_path = os.path.join('tests/smoke_tests', test_file) - if "test_pre_merge" in test_file: - pre_merge_files.append(test_file_path) + if "test_quick_tests_core" in test_file: + quick_tests_core_files.append(test_file_path) else: release_files.append(test_file_path) _convert_release(release_files) - _convert_pre_merge(pre_merge_files) + _convert_quick_tests_core(quick_tests_core_files) if __name__ == '__main__': diff --git a/tests/smoke_tests/test_pre_merge.py b/tests/smoke_tests/test_quick_tests_core.py similarity index 63% rename from tests/smoke_tests/test_pre_merge.py rename to tests/smoke_tests/test_quick_tests_core.py index 4890ac15ce4..48df4ef9a2b 100644 --- a/tests/smoke_tests/test_pre_merge.py +++ b/tests/smoke_tests/test_quick_tests_core.py @@ -1,23 +1,27 @@ # Smoke tests for SkyPilot required before merging +# If the change includes an interface modification or touches the core API, +# the reviewer could decide it’s necessary to trigger a pre-merge test and +# leave a comment /quicktest-core will then trigger this test. +# # Default options are set in pyproject.toml # Example usage: # Run all tests except for AWS and Lambda Cloud -# > pytest tests/smoke_tests/test_pre_merge.py +# > pytest tests/smoke_tests/test_quick_tests_core.py # # Terminate failed clusters after test finishes -# > pytest tests/smoke_tests/test_pre_merge.py --terminate-on-failure +# > pytest tests/smoke_tests/test_quick_tests_core.py --terminate-on-failure # # Re-run last failed tests # > pytest --lf # # Run one of the smoke tests -# > pytest tests/smoke_tests/test_pre_merge.py::test_yaml_launch_and_mount +# > pytest tests/smoke_tests/test_quick_tests_core.py::test_yaml_launch_and_mount # # Only run test for AWS + generic tests -# > pytest tests/smoke_tests/test_pre_merge.py --aws +# > pytest tests/smoke_tests/test_quick_tests_core.py --aws # # Change cloud for generic tests to aws -# > pytest tests/smoke_tests/test_pre_merge.py --generic-cloud aws +# > pytest tests/smoke_tests/test_quick_tests_core.py --generic-cloud aws from smoke_tests import smoke_tests_utils @@ -29,7 +33,7 @@ def test_yaml_launch_and_mount(generic_cloud: str): test = smoke_tests_utils.Test( 'test_yaml_launch_and_mount', [ - f'sky launch -y -c {name} tests/test_yamls/minimal_test_pre_merge.yaml', + f'sky launch -y -c {name} tests/test_yamls/minimal_test_quick_tests_core.yaml', smoke_tests_utils. get_cmd_wait_until_job_status_contains_matching_job_id( cluster_name=name, diff --git a/tests/test_yamls/minimal_test_pre_merge.yaml b/tests/test_yamls/minimal_test_quick_tests_core.yaml similarity index 62% rename from tests/test_yamls/minimal_test_pre_merge.yaml rename to tests/test_yamls/minimal_test_quick_tests_core.yaml index 583575bee5c..15857e972dd 100644 --- a/tests/test_yamls/minimal_test_pre_merge.yaml +++ b/tests/test_yamls/minimal_test_quick_tests_core.yaml @@ -10,4 +10,4 @@ workdir: . num_nodes: 1 run: | - ls -l ~/aws/tests/test_yamls/minimal_test_pre_merge.yaml + ls -l ~/aws/tests/test_yamls/minimal_test_quick_tests_core.yaml From a73a9cb37152c5f05d06bd1afe29a685ef86f85c Mon Sep 17 00:00:00 2001 From: Lei Date: Thu, 19 Dec 2024 14:24:22 +0800 Subject: [PATCH 150/152] [k8s] support to use custom gpu resource name if it's not nvidia.com/gpu (#4337) * [k8s] support to use custom gpu resource name if it's not nvidia.com/gpu Signed-off-by: nkwangleiGIT * fix format issue Signed-off-by: nkwangleiGIT --------- Signed-off-by: nkwangleiGIT --- sky/clouds/kubernetes.py | 2 +- sky/provision/kubernetes/instance.py | 12 +++++++----- sky/provision/kubernetes/utils.py | 24 ++++++++++++++++++++---- sky/utils/kubernetes/gpu_labeler.py | 4 ++-- 4 files changed, 30 insertions(+), 12 deletions(-) diff --git a/sky/clouds/kubernetes.py b/sky/clouds/kubernetes.py index 471639626eb..65b50042aba 100644 --- a/sky/clouds/kubernetes.py +++ b/sky/clouds/kubernetes.py @@ -395,7 +395,7 @@ def make_deploy_resources_variables( tpu_requested = True k8s_resource_key = kubernetes_utils.TPU_RESOURCE_KEY else: - k8s_resource_key = kubernetes_utils.GPU_RESOURCE_KEY + k8s_resource_key = kubernetes_utils.get_gpu_resource_key() port_mode = network_utils.get_port_mode(None) diff --git a/sky/provision/kubernetes/instance.py b/sky/provision/kubernetes/instance.py index 0682b105a4f..c431b023ab9 100644 --- a/sky/provision/kubernetes/instance.py +++ b/sky/provision/kubernetes/instance.py @@ -180,6 +180,7 @@ def _raise_pod_scheduling_errors(namespace, context, new_nodes): # case we will need to update this logic. # TODO(Doyoung): Update the error message raised # with the multi-host TPU support. + gpu_resource_key = kubernetes_utils.get_gpu_resource_key() # pylint: disable=line-too-long if 'Insufficient google.com/tpu' in event_message: extra_msg = ( f'Verify if ' @@ -192,14 +193,15 @@ def _raise_pod_scheduling_errors(namespace, context, new_nodes): pod, extra_msg, details=event_message)) - elif (('Insufficient nvidia.com/gpu' + elif ((f'Insufficient {gpu_resource_key}' in event_message) or ('didn\'t match Pod\'s node affinity/selector' in event_message)): extra_msg = ( - f'Verify if ' - f'{pod.spec.node_selector[label_key]}' - ' is available in the cluster.') + f'Verify if any node matching label ' + f'{pod.spec.node_selector[label_key]} and ' + f'sufficient resource {gpu_resource_key} ' + f'is available in the cluster.') raise config_lib.KubernetesError( _lack_resource_msg('GPU', pod, @@ -728,7 +730,7 @@ def _create_pods(region: str, cluster_name_on_cloud: str, limits = pod_spec['spec']['containers'][0].get('resources', {}).get('limits') if limits is not None: - needs_gpus = limits.get(kubernetes_utils.GPU_RESOURCE_KEY, 0) > 0 + needs_gpus = limits.get(kubernetes_utils.get_gpu_resource_key(), 0) > 0 # TPU pods provisioned on GKE use the default containerd runtime. # Reference: https://cloud.google.com/kubernetes-engine/docs/how-to/migrate-containerd#overview # pylint: disable=line-too-long diff --git a/sky/provision/kubernetes/utils.py b/sky/provision/kubernetes/utils.py index 5a7db7e91d6..5150cc5860b 100644 --- a/sky/provision/kubernetes/utils.py +++ b/sky/provision/kubernetes/utils.py @@ -438,7 +438,7 @@ def detect_accelerator_resource( nodes = get_kubernetes_nodes(context) for node in nodes: cluster_resources.update(node.status.allocatable.keys()) - has_accelerator = (GPU_RESOURCE_KEY in cluster_resources or + has_accelerator = (get_gpu_resource_key() in cluster_resources or TPU_RESOURCE_KEY in cluster_resources) return has_accelerator, cluster_resources @@ -2253,10 +2253,11 @@ def get_node_accelerator_count(attribute_dict: dict) -> int: Number of accelerators allocated or available from the node. If no resource is found, it returns 0. """ - assert not (GPU_RESOURCE_KEY in attribute_dict and + gpu_resource_name = get_gpu_resource_key() + assert not (gpu_resource_name in attribute_dict and TPU_RESOURCE_KEY in attribute_dict) - if GPU_RESOURCE_KEY in attribute_dict: - return int(attribute_dict[GPU_RESOURCE_KEY]) + if gpu_resource_name in attribute_dict: + return int(attribute_dict[gpu_resource_name]) elif TPU_RESOURCE_KEY in attribute_dict: return int(attribute_dict[TPU_RESOURCE_KEY]) return 0 @@ -2415,3 +2416,18 @@ def process_skypilot_pods( num_pods = len(cluster.pods) cluster.resources_str = f'{num_pods}x {cluster.resources}' return list(clusters.values()), jobs_controllers, serve_controllers + + +def get_gpu_resource_key(): + """Get the GPU resource name to use in kubernetes. + The function first checks for an environment variable. + If defined, it uses its value; otherwise, it returns the default value. + Args: + name (str): Default GPU resource name, default is "nvidia.com/gpu". + Returns: + str: The selected GPU resource name. + """ + # Retrieve GPU resource name from environment variable, if set. + # Else use default. + # E.g., can be nvidia.com/gpu-h100, amd.com/gpu etc. + return os.getenv('CUSTOM_GPU_RESOURCE_KEY', default=GPU_RESOURCE_KEY) diff --git a/sky/utils/kubernetes/gpu_labeler.py b/sky/utils/kubernetes/gpu_labeler.py index a9d899f4348..6877c94a2a8 100644 --- a/sky/utils/kubernetes/gpu_labeler.py +++ b/sky/utils/kubernetes/gpu_labeler.py @@ -101,7 +101,7 @@ def label(): # Get the list of nodes with GPUs gpu_nodes = [] for node in nodes: - if kubernetes_utils.GPU_RESOURCE_KEY in node.status.capacity: + if kubernetes_utils.get_gpu_resource_key() in node.status.capacity: gpu_nodes.append(node) print(f'Found {len(gpu_nodes)} GPU nodes in the cluster') @@ -142,7 +142,7 @@ def label(): if len(gpu_nodes) == 0: print('No GPU nodes found in the cluster. If you have GPU nodes, ' 'please ensure that they have the label ' - f'`{kubernetes_utils.GPU_RESOURCE_KEY}: `') + f'`{kubernetes_utils.get_gpu_resource_key()}: `') else: print('GPU labeling started - this may take 10 min or more to complete.' '\nTo check the status of GPU labeling jobs, run ' From d48523a84e129f2a1fa858e146ecc7502f611419 Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Fri, 20 Dec 2024 15:15:09 -0800 Subject: [PATCH 151/152] [k8s] Fix IPv6 ssh support (#4497) * Add limits only if they exist * Fix ipv6 support * Fix ipv6 support --- sky/provision/kubernetes/utils.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/sky/provision/kubernetes/utils.py b/sky/provision/kubernetes/utils.py index 5150cc5860b..4c23a41161a 100644 --- a/sky/provision/kubernetes/utils.py +++ b/sky/provision/kubernetes/utils.py @@ -1234,7 +1234,8 @@ def construct_ssh_jump_command( '-o StrictHostKeyChecking=no ' '-o UserKnownHostsFile=/dev/null ' f'-o IdentitiesOnly=yes ' - f'-W %h:%p {ssh_jump_user}@{ssh_jump_ip}') + r'-W \[%h\]:%p ' + f'{ssh_jump_user}@{ssh_jump_ip}') if ssh_jump_port is not None: ssh_jump_proxy_command += f' -p {ssh_jump_port} ' if proxy_cmd_path is not None: From ee3cabd57247ff0f25cb65c0ee46bd35ead8d11a Mon Sep 17 00:00:00 2001 From: Tian Xia Date: Sat, 21 Dec 2024 10:14:37 +0800 Subject: [PATCH 152/152] [Serve] Add and adopt least load policy as default poicy. (#4439) * [Serve] Add and adopt least load policy as default poicy. * Docs & smoke tests * error message for different lb policy * add minimal example * fix --- docs/source/serving/sky-serve.rst | 3 + examples/serve/minimal.yaml | 11 ++++ sky/serve/core.py | 14 ++++- sky/serve/load_balancer.py | 12 +++- sky/serve/load_balancing_policies.py | 70 +++++++++++++++++++++-- sky/serve/serve_state.py | 20 +++++-- sky/serve/serve_utils.py | 8 ++- sky/serve/service.py | 1 + sky/serve/service_spec.py | 6 +- tests/skyserve/load_balancer/service.yaml | 1 + tests/skyserve/update/new.yaml | 1 + tests/skyserve/update/old.yaml | 1 + 12 files changed, 131 insertions(+), 17 deletions(-) create mode 100644 examples/serve/minimal.yaml diff --git a/docs/source/serving/sky-serve.rst b/docs/source/serving/sky-serve.rst index 5a1a913b7ea..693102c0550 100644 --- a/docs/source/serving/sky-serve.rst +++ b/docs/source/serving/sky-serve.rst @@ -242,6 +242,9 @@ Under the hood, :code:`sky serve up`: #. Meanwhile, the controller provisions replica VMs which later run the services; #. Once any replica is ready, the requests sent to the Service Endpoint will be distributed to one of the endpoint replicas. +.. note:: + SkyServe uses least load load balancing to distribute the traffic to the replicas. It keeps track of the number of requests each replica has handled and routes the next request to the replica with the least load. + After the controller is provisioned, you'll see the following in :code:`sky serve status` output: .. image:: ../images/sky-serve-status-output-provisioning.png diff --git a/examples/serve/minimal.yaml b/examples/serve/minimal.yaml new file mode 100644 index 00000000000..c925d26f5d1 --- /dev/null +++ b/examples/serve/minimal.yaml @@ -0,0 +1,11 @@ +# An minimal example of a serve application. + +service: + readiness_probe: / + replicas: 1 + +resources: + ports: 8080 + cpus: 2+ + +run: python3 -m http.server 8080 diff --git a/sky/serve/core.py b/sky/serve/core.py index f6f6c53ad7b..561314bcbe0 100644 --- a/sky/serve/core.py +++ b/sky/serve/core.py @@ -384,6 +384,17 @@ def update( with ux_utils.print_exception_no_traceback(): raise RuntimeError(prompt) + original_lb_policy = service_record['load_balancing_policy'] + assert task.service is not None, 'Service section not found.' + if original_lb_policy != task.service.load_balancing_policy: + logger.warning( + f'{colorama.Fore.YELLOW}Current load balancing policy ' + f'{original_lb_policy!r} is different from the new policy ' + f'{task.service.load_balancing_policy!r}. Updating the load ' + 'balancing policy is not supported yet and it will be ignored. ' + 'The service will continue to use the current load balancing ' + f'policy.{colorama.Style.RESET_ALL}') + with rich_utils.safe_status( ux_utils.spinner_message('Initializing service')): controller_utils.maybe_translate_local_file_mounts_and_sync_up( @@ -581,9 +592,10 @@ def status( 'status': (sky.ServiceStatus) service status, 'controller_port': (Optional[int]) controller port, 'load_balancer_port': (Optional[int]) load balancer port, - 'policy': (Optional[str]) load balancer policy description, + 'policy': (Optional[str]) autoscaling policy description, 'requested_resources_str': (str) str representation of requested resources, + 'load_balancing_policy': (str) load balancing policy name, 'replica_info': (List[Dict[str, Any]]) replica information, } diff --git a/sky/serve/load_balancer.py b/sky/serve/load_balancer.py index 30697532a22..6b4621569d6 100644 --- a/sky/serve/load_balancer.py +++ b/sky/serve/load_balancer.py @@ -45,6 +45,8 @@ def __init__(self, # Use the registry to create the load balancing policy self._load_balancing_policy = lb_policies.LoadBalancingPolicy.make( load_balancing_policy_name) + logger.info('Starting load balancer with policy ' + f'{load_balancing_policy_name}.') self._request_aggregator: serve_utils.RequestsAggregator = ( serve_utils.RequestTimestamp()) # TODO(tian): httpx.Client has a resource limit of 100 max connections @@ -128,6 +130,7 @@ async def _proxy_request_to( encountered if anything goes wrong. """ logger.info(f'Proxy request to {url}') + self._load_balancing_policy.pre_execute_hook(url, request) try: # We defer the get of the client here on purpose, for case when the # replica is ready in `_proxy_with_retries` but refreshed before @@ -147,11 +150,16 @@ async def _proxy_request_to( content=await request.body(), timeout=constants.LB_STREAM_TIMEOUT) proxy_response = await client.send(proxy_request, stream=True) + + async def background_func(): + await proxy_response.aclose() + self._load_balancing_policy.post_execute_hook(url, request) + return fastapi.responses.StreamingResponse( content=proxy_response.aiter_raw(), status_code=proxy_response.status_code, headers=proxy_response.headers, - background=background.BackgroundTask(proxy_response.aclose)) + background=background.BackgroundTask(background_func)) except (httpx.RequestError, httpx.HTTPStatusError) as e: logger.error(f'Error when proxy request to {url}: ' f'{common_utils.format_exception(e)}') @@ -263,7 +271,7 @@ def run_load_balancer(controller_addr: str, parser.add_argument( '--load-balancing-policy', choices=available_policies, - default='round_robin', + default=lb_policies.DEFAULT_LB_POLICY, help=f'The load balancing policy to use. Available policies: ' f'{", ".join(available_policies)}.') args = parser.parse_args() diff --git a/sky/serve/load_balancing_policies.py b/sky/serve/load_balancing_policies.py index aec6eb01487..4ad69f78943 100644 --- a/sky/serve/load_balancing_policies.py +++ b/sky/serve/load_balancing_policies.py @@ -1,7 +1,9 @@ """LoadBalancingPolicy: Policy to select endpoint.""" +import collections import random +import threading import typing -from typing import List, Optional +from typing import Dict, List, Optional from sky import sky_logging @@ -13,6 +15,10 @@ # Define a registry for load balancing policies LB_POLICIES = {} DEFAULT_LB_POLICY = None +# Prior to #4439, the default policy was round_robin. We store the legacy +# default policy here to maintain backwards compatibility. Remove this after +# 2 minor release, i.e., 0.9.0. +LEGACY_DEFAULT_POLICY = 'round_robin' def _request_repr(request: 'fastapi.Request') -> str: @@ -38,11 +44,17 @@ def __init_subclass__(cls, name: str, default: bool = False): DEFAULT_LB_POLICY = name @classmethod - def make(cls, policy_name: Optional[str] = None) -> 'LoadBalancingPolicy': - """Create a load balancing policy from a name.""" + def make_policy_name(cls, policy_name: Optional[str]) -> str: + """Return the policy name.""" + assert DEFAULT_LB_POLICY is not None, 'No default policy set.' if policy_name is None: - policy_name = DEFAULT_LB_POLICY + return DEFAULT_LB_POLICY + return policy_name + @classmethod + def make(cls, policy_name: Optional[str] = None) -> 'LoadBalancingPolicy': + """Create a load balancing policy from a name.""" + policy_name = cls.make_policy_name(policy_name) if policy_name not in LB_POLICIES: raise ValueError(f'Unknown load balancing policy: {policy_name}') return LB_POLICIES[policy_name]() @@ -65,8 +77,16 @@ def select_replica(self, request: 'fastapi.Request') -> Optional[str]: def _select_replica(self, request: 'fastapi.Request') -> Optional[str]: raise NotImplementedError + def pre_execute_hook(self, replica_url: str, + request: 'fastapi.Request') -> None: + pass + + def post_execute_hook(self, replica_url: str, + request: 'fastapi.Request') -> None: + pass + -class RoundRobinPolicy(LoadBalancingPolicy, name='round_robin', default=True): +class RoundRobinPolicy(LoadBalancingPolicy, name='round_robin'): """Round-robin load balancing policy.""" def __init__(self) -> None: @@ -90,3 +110,43 @@ def _select_replica(self, request: 'fastapi.Request') -> Optional[str]: ready_replica_url = self.ready_replicas[self.index] self.index = (self.index + 1) % len(self.ready_replicas) return ready_replica_url + + +class LeastLoadPolicy(LoadBalancingPolicy, name='least_load', default=True): + """Least load load balancing policy.""" + + def __init__(self) -> None: + super().__init__() + self.load_map: Dict[str, int] = collections.defaultdict(int) + self.lock = threading.Lock() + + def set_ready_replicas(self, ready_replicas: List[str]) -> None: + if set(self.ready_replicas) == set(ready_replicas): + return + with self.lock: + self.ready_replicas = ready_replicas + for r in self.ready_replicas: + if r not in ready_replicas: + del self.load_map[r] + for replica in ready_replicas: + self.load_map[replica] = self.load_map.get(replica, 0) + + def _select_replica(self, request: 'fastapi.Request') -> Optional[str]: + del request # Unused. + if not self.ready_replicas: + return None + with self.lock: + return min(self.ready_replicas, + key=lambda replica: self.load_map.get(replica, 0)) + + def pre_execute_hook(self, replica_url: str, + request: 'fastapi.Request') -> None: + del request # Unused. + with self.lock: + self.load_map[replica_url] += 1 + + def post_execute_hook(self, replica_url: str, + request: 'fastapi.Request') -> None: + del request # Unused. + with self.lock: + self.load_map[replica_url] -= 1 diff --git a/sky/serve/serve_state.py b/sky/serve/serve_state.py index 333e0138fb4..983e17d00ae 100644 --- a/sky/serve/serve_state.py +++ b/sky/serve/serve_state.py @@ -11,6 +11,7 @@ import colorama from sky.serve import constants +from sky.serve import load_balancing_policies as lb_policies from sky.utils import db_utils if typing.TYPE_CHECKING: @@ -76,6 +77,8 @@ def create_table(cursor: 'sqlite3.Cursor', conn: 'sqlite3.Connection') -> None: db_utils.add_column_to_table(_DB.cursor, _DB.conn, 'services', 'active_versions', f'TEXT DEFAULT {json.dumps([])!r}') +db_utils.add_column_to_table(_DB.cursor, _DB.conn, 'services', + 'load_balancing_policy', 'TEXT DEFAULT NULL') _UNIQUE_CONSTRAINT_FAILED_ERROR_MSG = 'UNIQUE constraint failed: services.name' @@ -241,7 +244,8 @@ def from_replica_statuses( def add_service(name: str, controller_job_id: int, policy: str, - requested_resources_str: str, status: ServiceStatus) -> bool: + requested_resources_str: str, load_balancing_policy: str, + status: ServiceStatus) -> bool: """Add a service in the database. Returns: @@ -254,10 +258,10 @@ def add_service(name: str, controller_job_id: int, policy: str, """\ INSERT INTO services (name, controller_job_id, status, policy, - requested_resources_str) - VALUES (?, ?, ?, ?, ?)""", + requested_resources_str, load_balancing_policy) + VALUES (?, ?, ?, ?, ?, ?)""", (name, controller_job_id, status.value, policy, - requested_resources_str)) + requested_resources_str, load_balancing_policy)) except sqlite3.IntegrityError as e: if str(e) != _UNIQUE_CONSTRAINT_FAILED_ERROR_MSG: @@ -324,7 +328,12 @@ def set_service_load_balancer_port(service_name: str, def _get_service_from_row(row) -> Dict[str, Any]: (current_version, name, controller_job_id, controller_port, load_balancer_port, status, uptime, policy, _, _, requested_resources_str, - _, active_versions) = row[:13] + _, active_versions, load_balancing_policy) = row[:14] + if load_balancing_policy is None: + # This entry in database was added in #4439, and it will always be set + # to a str value. If it is None, it means it is an legacy entry and is + # using the legacy default policy. + load_balancing_policy = lb_policies.LEGACY_DEFAULT_POLICY return { 'name': name, 'controller_job_id': controller_job_id, @@ -341,6 +350,7 @@ def _get_service_from_row(row) -> Dict[str, Any]: # integers in json format. This is mainly for display purpose. 'active_versions': json.loads(active_versions), 'requested_resources_str': requested_resources_str, + 'load_balancing_policy': load_balancing_policy, } diff --git a/sky/serve/serve_utils.py b/sky/serve/serve_utils.py index 6ab932f278a..7e665929d66 100644 --- a/sky/serve/serve_utils.py +++ b/sky/serve/serve_utils.py @@ -811,7 +811,9 @@ def format_service_table(service_records: List[Dict[str, Any]], 'NAME', 'VERSION', 'UPTIME', 'STATUS', 'REPLICAS', 'ENDPOINT' ] if show_all: - service_columns.extend(['POLICY', 'REQUESTED_RESOURCES']) + service_columns.extend([ + 'AUTOSCALING_POLICY', 'LOAD_BALANCING_POLICY', 'REQUESTED_RESOURCES' + ]) service_table = log_utils.create_table(service_columns) replica_infos = [] @@ -832,6 +834,7 @@ def format_service_table(service_records: List[Dict[str, Any]], endpoint = get_endpoint(record) policy = record['policy'] requested_resources_str = record['requested_resources_str'] + load_balancing_policy = record['load_balancing_policy'] service_values = [ service_name, @@ -842,7 +845,8 @@ def format_service_table(service_records: List[Dict[str, Any]], endpoint, ] if show_all: - service_values.extend([policy, requested_resources_str]) + service_values.extend( + [policy, load_balancing_policy, requested_resources_str]) service_table.add_row(service_values) replica_table = _format_replica_table(replica_infos, show_all) diff --git a/sky/serve/service.py b/sky/serve/service.py index 0a1c7f34766..dbfc57b22bf 100644 --- a/sky/serve/service.py +++ b/sky/serve/service.py @@ -150,6 +150,7 @@ def _start(service_name: str, tmp_task_yaml: str, job_id: int): controller_job_id=job_id, policy=service_spec.autoscaling_policy_str(), requested_resources_str=backend_utils.get_task_resources_str(task), + load_balancing_policy=service_spec.load_balancing_policy, status=serve_state.ServiceStatus.CONTROLLER_INIT) # Directly throw an error here. See sky/serve/api.py::up # for more details. diff --git a/sky/serve/service_spec.py b/sky/serve/service_spec.py index 000eed139f1..fbbca5bc0dd 100644 --- a/sky/serve/service_spec.py +++ b/sky/serve/service_spec.py @@ -8,6 +8,7 @@ from sky import serve from sky.serve import constants +from sky.serve import load_balancing_policies as lb_policies from sky.utils import common_utils from sky.utils import schemas from sky.utils import ux_utils @@ -327,5 +328,6 @@ def use_ondemand_fallback(self) -> bool: return self._use_ondemand_fallback @property - def load_balancing_policy(self) -> Optional[str]: - return self._load_balancing_policy + def load_balancing_policy(self) -> str: + return lb_policies.LoadBalancingPolicy.make_policy_name( + self._load_balancing_policy) diff --git a/tests/skyserve/load_balancer/service.yaml b/tests/skyserve/load_balancer/service.yaml index 742b8efd2f4..232136d4a61 100644 --- a/tests/skyserve/load_balancer/service.yaml +++ b/tests/skyserve/load_balancer/service.yaml @@ -5,6 +5,7 @@ service: initial_delay_seconds: 180 replica_policy: min_replicas: 3 + load_balancing_policy: round_robin resources: ports: 8080 diff --git a/tests/skyserve/update/new.yaml b/tests/skyserve/update/new.yaml index 2c9cebd0cb5..5e5d853e09d 100644 --- a/tests/skyserve/update/new.yaml +++ b/tests/skyserve/update/new.yaml @@ -3,6 +3,7 @@ service: path: /health initial_delay_seconds: 100 replicas: 2 + load_balancing_policy: round_robin resources: ports: 8081 diff --git a/tests/skyserve/update/old.yaml b/tests/skyserve/update/old.yaml index 4b99cb92e8c..4cb19b8327b 100644 --- a/tests/skyserve/update/old.yaml +++ b/tests/skyserve/update/old.yaml @@ -3,6 +3,7 @@ service: path: /health initial_delay_seconds: 20 replicas: 2 + load_balancing_policy: round_robin resources: ports: 8080

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zvvO@KQx~~i2q%FO9zc_Zsmcyv-2Z0oW;PpM89b3(DTlfn*;W=Qz6p63}7;?QJq&eQ#3u*w1T>UE1G^(x&YBUr8=$9O!GF|mW m4%7sU21A-@O}3Y+!v6&-2eOcKjFV9S0000 Date: Thu, 14 Nov 2024 22:37:24 +0800 Subject: [PATCH 082/152] Update `--env-file` to sky doc (#4345) * update doc * example command * PR comment commit Co-authored-by: Zongheng Yang * resolve PR comment * dotenv to code format * Update docs/source/running-jobs/environment-variables.rst Co-authored-by: Zongheng Yang * Update docs/source/running-jobs/environment-variables.rst Co-authored-by: Zongheng Yang * change the order --------- Co-authored-by: Zongheng Yang --- .../running-jobs/environment-variables.rst | 35 ++++++++++++------- 1 file changed, 23 insertions(+), 12 deletions(-) diff --git a/docs/source/running-jobs/environment-variables.rst b/docs/source/running-jobs/environment-variables.rst index f7138af95fa..d88424359d1 100644 --- a/docs/source/running-jobs/environment-variables.rst +++ b/docs/source/running-jobs/environment-variables.rst @@ -16,7 +16,7 @@ User-specified environment variables User-specified environment variables are useful for passing secrets and any arguments or configurations needed for your tasks. They are made available in ``file_mounts``, ``setup``, and ``run``. -You can specify environment variables to be made available to a task in two ways: +You can specify environment variables to be made available to a task in several ways: - ``envs`` field (dict) in a :ref:`task YAML `: @@ -24,7 +24,18 @@ You can specify environment variables to be made available to a task in two ways envs: MYVAR: val - + + +- ``--env-file`` flag in ``sky launch/exec`` :ref:`CLI `, which is a path to a `dotenv` file (takes precedence over the above): + + .. code-block:: text + + # sky launch example.yaml --env-file my_app.env + # cat my_app.env + MYVAR=val + WANDB_API_KEY=MY_WANDB_API_KEY + HF_TOKEN=MY_HF_TOKEN + - ``--env`` flag in ``sky launch/exec`` :ref:`CLI ` (takes precedence over the above) .. tip:: @@ -145,9 +156,9 @@ Environment variables for ``setup`` - 0 * - ``SKYPILOT_SETUP_NODE_IPS`` - A string of IP addresses of the nodes in the cluster with the same order as the node ranks, where each line contains one IP address. - + Note that this is not necessarily the same as the nodes in ``run`` stage: the ``setup`` stage runs on all nodes of the cluster, while the ``run`` stage can run on a subset of nodes. - - + - .. code-block:: text 1.2.3.4 @@ -158,19 +169,19 @@ Environment variables for ``setup`` - 2 * - ``SKYPILOT_TASK_ID`` - A unique ID assigned to each task. - - This environment variable is available only when the task is submitted + + This environment variable is available only when the task is submitted with :code:`sky launch --detach-setup`, or run as a managed spot job. - + Refer to the description in the :ref:`environment variables for run `. - sky-2023-07-06-21-18-31-563597_myclus_1 - + For managed spot jobs: sky-managed-2023-07-06-21-18-31-563597_my-job-name_1-0 * - ``SKYPILOT_CLUSTER_INFO`` - A JSON string containing information about the cluster. To access the information, you could parse the JSON string in bash ``echo $SKYPILOT_CLUSTER_INFO | jq .cloud`` or in Python : .. code-block:: python - + import json json.loads( os.environ['SKYPILOT_CLUSTER_INFO'] @@ -200,7 +211,7 @@ Environment variables for ``run`` - 0 * - ``SKYPILOT_NODE_IPS`` - A string of IP addresses of the nodes reserved to execute the task, where each line contains one IP address. Read more :ref:`here `. - - + - .. code-block:: text 1.2.3.4 @@ -221,13 +232,13 @@ Environment variables for ``run`` If a task is run as a :ref:`managed spot job `, then all recoveries of that job will have the same ID value. The ID is in the format "sky-managed-_(_)_-", where ```` will appear when a pipeline is used, i.e., more than one task in a managed spot job. Read more :ref:`here `. - sky-2023-07-06-21-18-31-563597_myclus_1 - + For managed spot jobs: sky-managed-2023-07-06-21-18-31-563597_my-job-name_1-0 * - ``SKYPILOT_CLUSTER_INFO`` - A JSON string containing information about the cluster. To access the information, you could parse the JSON string in bash ``echo $SKYPILOT_CLUSTER_INFO | jq .cloud`` or in Python : .. code-block:: python - + import json json.loads( os.environ['SKYPILOT_CLUSTER_INFO'] From 53871cb76e062c71e172b65bfc8e3d520b78f376 Mon Sep 17 00:00:00 2001 From: Andy Lee Date: Thu, 14 Nov 2024 15:38:12 -0800 Subject: [PATCH 083/152] [Serve] Update log pattern in `_follow_replica_logs` for new UX 3.0 (#4333) * refactor: generalize log streaming from `serve_utils._follow_logs` into centralized `log_utils.follow_logs` * fix: no yield if its a provision log line * refactor: naming and if-indent * fix: adapt to new ux * fix: prevent recursion in serve log following * refactor: simplify log expanding match and improve naming * revert removing redundant checking as per reviewer's input * naming --- sky/serve/core.py | 1 + sky/serve/serve_utils.py | 65 +++++++++++++++++++++------------------- 2 files changed, 36 insertions(+), 30 deletions(-) diff --git a/sky/serve/core.py b/sky/serve/core.py index abf9bfbc719..f6f6c53ad7b 100644 --- a/sky/serve/core.py +++ b/sky/serve/core.py @@ -701,6 +701,7 @@ def tail_logs( with ux_utils.print_exception_no_traceback(): raise ValueError(f'`target` must be a string or ' f'sky.serve.ServiceComponent, got {type(target)}.') + if target == serve_utils.ServiceComponent.REPLICA: if replica_id is None: with ux_utils.print_exception_no_traceback(): diff --git a/sky/serve/serve_utils.py b/sky/serve/serve_utils.py index 3be41cc1593..6ab932f278a 100644 --- a/sky/serve/serve_utils.py +++ b/sky/serve/serve_utils.py @@ -46,8 +46,14 @@ constants.CONTROLLER_MEMORY_USAGE_GB) _CONTROLLER_URL = 'http://localhost:{CONTROLLER_PORT}' -_SKYPILOT_PROVISION_LOG_PATTERN = r'.*tail -n100 -f (.*provision\.log).*' -_SKYPILOT_LOG_PATTERN = r'.*tail -n100 -f (.*\.log).*' +# NOTE(dev): We assume log paths are either in ~/sky_logs/... or ~/.sky/... +# and always appear after a space. Be careful when changing UX as this +# assumption is used to expand some log files while ignoring others. +_SKYPILOT_LOG_DIRS = r'~/(sky_logs|\.sky)' +_SKYPILOT_PROVISION_LOG_PATTERN = ( + fr'.* ({_SKYPILOT_LOG_DIRS}/.*provision\.log)') +_SKYPILOT_LOG_PATTERN = fr'.* ({_SKYPILOT_LOG_DIRS}/.*\.log)' + # TODO(tian): Find all existing replica id and print here. _FAILED_TO_FIND_REPLICA_MSG = ( f'{colorama.Fore.RED}Failed to find replica ' @@ -591,7 +597,7 @@ def get_latest_version_with_min_replicas( return active_versions[-1] if active_versions else None -def _follow_replica_logs( +def _follow_logs_with_provision_expanding( file: TextIO, cluster_name: str, *, @@ -599,7 +605,7 @@ def _follow_replica_logs( stop_on_eof: bool = False, idle_timeout_seconds: Optional[int] = None, ) -> Iterator[str]: - """Follows logs for a replica, handling nested log files. + """Follows logs and expands any provision.log references found. Args: file: Log file to read from. @@ -610,7 +616,7 @@ def _follow_replica_logs( new content. Yields: - Log lines from the main file and any nested log files. + Log lines, including expanded content from referenced provision logs. """ def cluster_is_up() -> bool: @@ -620,36 +626,35 @@ def cluster_is_up() -> bool: return cluster_record['status'] == status_lib.ClusterStatus.UP def process_line(line: str) -> Iterator[str]: - # Tailing detailed progress for user. All logs in skypilot is - # of format `To view detailed progress: tail -n100 -f *.log`. - # Check if the line is directing users to view logs + # The line might be directing users to view logs, like + # `✓ Cluster launched: new-http. View logs at: *.log` + # We should tail the detailed logs for user. provision_log_prompt = re.match(_SKYPILOT_PROVISION_LOG_PATTERN, line) - other_log_prompt = re.match(_SKYPILOT_LOG_PATTERN, line) + log_prompt = re.match(_SKYPILOT_LOG_PATTERN, line) if provision_log_prompt is not None: nested_log_path = os.path.expanduser(provision_log_prompt.group(1)) - with open(nested_log_path, 'r', newline='', encoding='utf-8') as f: - # We still exit if more than 10 seconds without new content - # to avoid any internal bug that causes the launch to fail - # while cluster status remains INIT. - # Originally, we output the next line first before printing - # the launching logs. Since the next line is always - # `Launching on ()`, we output it first - # to indicate the process is starting. - # TODO(andyl): After refactor #4323, the above logic is broken, - # but coincidentally with the new UX 3.0, the `Cluster launched` - # message is printed first, making the output appear correct. - # Explaining this since it's technically a breaking change - # for this refactor PR #4323. Will remove soon in a fix PR - # for adapting the serve.follow_logs to the new UX. - yield from _follow_replica_logs(f, - cluster_name, - should_stop=cluster_is_up, - stop_on_eof=stop_on_eof, - idle_timeout_seconds=10) + + try: + with open(nested_log_path, 'r', newline='', + encoding='utf-8') as f: + # We still exit if more than 10 seconds without new content + # to avoid any internal bug that causes the launch to fail + # while cluster status remains INIT. + yield from log_utils.follow_logs(f, + should_stop=cluster_is_up, + stop_on_eof=stop_on_eof, + idle_timeout_seconds=10) + except FileNotFoundError: + yield line + + yield (f'{colorama.Fore.YELLOW}{colorama.Style.BRIGHT}' + f'Try to expand log file {nested_log_path} but not ' + f'found. Skipping...{colorama.Style.RESET_ALL}') + pass return - if other_log_prompt is not None: + if log_prompt is not None: # Now we skip other logs (file sync logs) since we lack # utility to determine when these log files are finished # writing. @@ -702,7 +707,7 @@ def _get_replica_status() -> serve_state.ReplicaStatus: replica_provisioned = ( lambda: _get_replica_status() != serve_state.ReplicaStatus.PROVISIONING) with open(launch_log_file_name, 'r', newline='', encoding='utf-8') as f: - for line in _follow_replica_logs( + for line in _follow_logs_with_provision_expanding( f, replica_cluster_name, should_stop=replica_provisioned, From 6dd705115fbbcf68f4e3989a4b39653d8ce9b273 Mon Sep 17 00:00:00 2001 From: Tian Xia Date: Thu, 14 Nov 2024 15:38:21 -0800 Subject: [PATCH 084/152] [Jobs] Remove assertion for one single controller resources. (#4358) [Jobs] Remove assertion for one signle controller resoruces. --- sky/jobs/core.py | 1 - 1 file changed, 1 deletion(-) diff --git a/sky/jobs/core.py b/sky/jobs/core.py index 5bf3da2d023..f11a556f2d4 100644 --- a/sky/jobs/core.py +++ b/sky/jobs/core.py @@ -133,7 +133,6 @@ def launch( controller_task.set_resources(controller_resources) controller_task.managed_job_dag = dag - assert len(controller_task.resources) == 1, controller_task sky_logging.print( f'{colorama.Fore.YELLOW}' From fa798d7c095dbc6f2c3adaf55717db31d2ceb7c4 Mon Sep 17 00:00:00 2001 From: Hysun He Date: Fri, 15 Nov 2024 08:58:28 +0800 Subject: [PATCH 085/152] [Core] NoCloudAccessError check is escaped from storage sync (#4366) --- sky/utils/controller_utils.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/sky/utils/controller_utils.py b/sky/utils/controller_utils.py index 0ab2fd7e117..44625a2a994 100644 --- a/sky/utils/controller_utils.py +++ b/sky/utils/controller_utils.py @@ -818,8 +818,9 @@ def maybe_translate_local_file_mounts_and_sync_up(task: 'task_lib.Task', '[dim]View storages: sky storage ls')) try: task.sync_storage_mounts() - except ValueError as e: - if 'No enabled cloud for storage' in str(e): + except (ValueError, exceptions.NoCloudAccessError) as e: + if 'No enabled cloud for storage' in str(e) or isinstance( + e, exceptions.NoCloudAccessError): data_src = None if has_local_source_paths_file_mounts: data_src = 'file_mounts' From a2278cb383aa73be996ec2c4a461d4026673bbfa Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Thu, 14 Nov 2024 20:27:54 -0800 Subject: [PATCH 086/152] [fast] if cluster is INIT, force refresh before deciding to provision (#4328) * [fast] if cluster is INIT, force refresh before deciding to provision If a cluster is mid-initialization, its status will be INIT and autostop/down will not be set yet. In this case, the cluster refresh won't actually grab the cluster status lock and hard refresh the status. So, check_cluster_available will immeidately decide that the cluster is INIT and throw. This could cause a bug where many parallel launches of `sky launch --fast` that are staggered can all decide that the cluster is INIT, and all decide that they need to launch the cluster. Since cluster initialization is locked with the cluster status lock, each invocation will sychronously re-launch the cluster. Now, if we see that the cluster is INIT, we force a refresh. This will acquire the cluster status lock, which will block until any ongoing provisioning completes and the cluster is UP. If the cluster is otherwise INIT (e.g. ray cluster has been stopped abnormally) then provisioning should proceed as normal. This does not fix the race where the cluster does not exist or is STOPPED, and many simultaneously started `sky launch --fast` invocations try to create or restart the cluster. However, once the first batch complete their launches, all future invocations should correctly see the cluster as UP, not INIT - even if they are started while the first batch is still provisioning the cluster. Fixing the STOPPED or non-existent case is a bit more difficult and will probably require moving this detection logic inside the provisioning code, so that it holds the cluster status lock continuously from the status check until the cluster is UP. * update comment --- sky/execution.py | 59 ++++++++++++++++++++++++++++++------------------ 1 file changed, 37 insertions(+), 22 deletions(-) diff --git a/sky/execution.py b/sky/execution.py index df3cdd5efdb..cbcfb2b99fe 100644 --- a/sky/execution.py +++ b/sky/execution.py @@ -11,10 +11,10 @@ from sky import admin_policy from sky import backends from sky import clouds -from sky import exceptions from sky import global_user_state from sky import optimizer from sky import sky_logging +from sky import status_lib from sky.backends import backend_utils from sky.usage import usage_lib from sky.utils import admin_policy_utils @@ -463,28 +463,43 @@ def launch( stages = None # Check if cluster exists and we are doing fast provisioning if fast and cluster_name is not None: - maybe_handle = global_user_state.get_handle_from_cluster_name( - cluster_name) - if maybe_handle is not None: - try: - # This will throw if the cluster is not available - backend_utils.check_cluster_available( + cluster_status, maybe_handle = ( + backend_utils.refresh_cluster_status_handle(cluster_name)) + if cluster_status == status_lib.ClusterStatus.INIT: + # If the cluster is INIT, it may be provisioning. We want to prevent + # concurrent calls from queueing up many sequential reprovision + # attempts. Since provisioning will hold the cluster status lock, we + # wait to hold that lock by force refreshing the status. This will + # block until the cluster finishes provisioning, then correctly see + # that it is UP. + # TODO(cooperc): If multiple processes launched in parallel see that + # the cluster is STOPPED or does not exist, they will still all try + # to provision it, since we do not hold the lock continuously from + # the status check until the provision call. Fixing this requires a + # bigger refactor. + cluster_status, maybe_handle = ( + backend_utils.refresh_cluster_status_handle( cluster_name, - operation='executing tasks', - check_cloud_vm_ray_backend=False, - dryrun=dryrun) - handle = maybe_handle - # Get all stages - stages = [ - Stage.SYNC_WORKDIR, - Stage.SYNC_FILE_MOUNTS, - Stage.PRE_EXEC, - Stage.EXEC, - Stage.DOWN, - ] - except exceptions.ClusterNotUpError: - # Proceed with normal provisioning - pass + force_refresh_statuses=[ + # If the cluster is INIT, we want to try to grab the + # status lock, which should block until provisioning is + # finished. + status_lib.ClusterStatus.INIT, + ], + # Wait indefinitely to obtain the lock, so that we don't + # have multiple processes launching the same cluster at + # once. + cluster_status_lock_timeout=-1, + )) + if cluster_status == status_lib.ClusterStatus.UP: + handle = maybe_handle + stages = [ + Stage.SYNC_WORKDIR, + Stage.SYNC_FILE_MOUNTS, + Stage.PRE_EXEC, + Stage.EXEC, + Stage.DOWN, + ] return _execute( entrypoint=entrypoint, From e41ce2ad39554585e7201329e3db96072c542a8a Mon Sep 17 00:00:00 2001 From: Hysun He Date: Fri, 15 Nov 2024 12:44:46 +0800 Subject: [PATCH 087/152] [OCI] Enable SkyServe for OCI (#4338) * [OCI] Enable SkyServe for OCI * enable open_ports * fix * Add example serve-qwen-7b.yaml * fix * format * Skip check the source CIDR so that user can control the security by manually. * Update sky/provision/oci/query_utils.py Co-authored-by: Tian Xia * Update sky/provision/oci/query_utils.py Co-authored-by: Tian Xia * Update sky/provision/oci/query_utils.py Co-authored-by: Tian Xia * nit * Implement open_ports/cleanup_ports per cluster * Address review comments * naming * debug info * remove unneccessary logic * detach the nsg before instance termination * typo * Add example * same file already exists in examples/serve folder * Add example for serve cpu resource task. * nit * Address review comments: mainly eliminate the port overlap issue. * Add a smoke test * nit * OCI now supports open_port --------- Co-authored-by: Tian Xia --- examples/oci/serve-http-cpu.yaml | 11 ++ examples/oci/serve-qwen-7b.yaml | 25 ++++ sky/clouds/oci.py | 2 - sky/clouds/utils/oci_utils.py | 5 + sky/provision/oci/instance.py | 23 ++-- sky/provision/oci/query_utils.py | 218 ++++++++++++++++++++++++++++++- sky/utils/controller_utils.py | 14 +- tests/skyserve/http/oci.yaml | 10 ++ tests/test_smoke.py | 9 ++ 9 files changed, 291 insertions(+), 26 deletions(-) create mode 100644 examples/oci/serve-http-cpu.yaml create mode 100644 examples/oci/serve-qwen-7b.yaml create mode 100644 tests/skyserve/http/oci.yaml diff --git a/examples/oci/serve-http-cpu.yaml b/examples/oci/serve-http-cpu.yaml new file mode 100644 index 00000000000..68e3d18c9e5 --- /dev/null +++ b/examples/oci/serve-http-cpu.yaml @@ -0,0 +1,11 @@ +service: + readiness_probe: / + replicas: 2 + +resources: + cloud: oci + region: us-sanjose-1 + ports: 8080 + cpus: 2+ + +run: python -m http.server 8080 diff --git a/examples/oci/serve-qwen-7b.yaml b/examples/oci/serve-qwen-7b.yaml new file mode 100644 index 00000000000..799e5a7d891 --- /dev/null +++ b/examples/oci/serve-qwen-7b.yaml @@ -0,0 +1,25 @@ +# service.yaml +service: + readiness_probe: /v1/models + replicas: 2 + +# Fields below describe each replica. +resources: + cloud: oci + region: us-sanjose-1 + ports: 8080 + accelerators: {A10:1} + +setup: | + conda create -n vllm python=3.12 -y + conda activate vllm + pip install vllm + pip install vllm-flash-attn + +run: | + conda activate vllm + python -u -m vllm.entrypoints.openai.api_server \ + --host 0.0.0.0 --port 8080 \ + --model Qwen/Qwen2-7B-Instruct \ + --served-model-name Qwen2-7B-Instruct \ + --device=cuda --dtype auto --max-model-len=2048 diff --git a/sky/clouds/oci.py b/sky/clouds/oci.py index 0ebf44b4d0b..37806ff8349 100644 --- a/sky/clouds/oci.py +++ b/sky/clouds/oci.py @@ -75,8 +75,6 @@ def _unsupported_features_for_resources( (f'Docker image is currently not supported on {cls._REPR}. ' 'You can try running docker command inside the ' '`run` section in task.yaml.'), - clouds.CloudImplementationFeatures.OPEN_PORTS: - (f'Opening ports is currently not supported on {cls._REPR}.'), } if resources.use_spot: features[clouds.CloudImplementationFeatures.STOP] = ( diff --git a/sky/clouds/utils/oci_utils.py b/sky/clouds/utils/oci_utils.py index 9398dff1363..0cd4f33e647 100644 --- a/sky/clouds/utils/oci_utils.py +++ b/sky/clouds/utils/oci_utils.py @@ -4,6 +4,8 @@ - Zhanghao Wu @ Oct 2023: Formatting and refactoring - Hysun He (hysun.he@oracle.com) @ Oct, 2024: Add default image OS configuration. + - Hysun He (hysun.he@oracle.com) @ Nov.12, 2024: Add the constant + SERVICE_PORT_RULE_TAG """ import os @@ -42,6 +44,9 @@ class OCIConfig: VCN_CIDR_INTERNET = '0.0.0.0/0' VCN_CIDR = '192.168.0.0/16' VCN_SUBNET_CIDR = '192.168.0.0/18' + SERVICE_PORT_RULE_TAG = 'SkyServe-Service-Port' + # NSG name template + NSG_NAME_TEMPLATE = 'nsg_{cluster_name}' MAX_RETRY_COUNT = 3 RETRY_INTERVAL_BASE_SECONDS = 5 diff --git a/sky/provision/oci/instance.py b/sky/provision/oci/instance.py index e909c9d8fdc..811d27d0e21 100644 --- a/sky/provision/oci/instance.py +++ b/sky/provision/oci/instance.py @@ -2,6 +2,8 @@ History: - Hysun He (hysun.he@oracle.com) @ Oct.16, 2024: Initial implementation + - Hysun He (hysun.he@oracle.com) @ Nov.13, 2024: Implement open_ports + and cleanup_ports for supporting SkyServe. """ import copy @@ -292,11 +294,11 @@ def open_ports( provider_config: Optional[Dict[str, Any]] = None, ) -> None: """Open ports for inbound traffic.""" - # OCI ports in security groups are opened while creating the new - # VCN (skypilot_vcn). If user configure to use existing VCN, it is - # intended to let user to manage the ports instead of automatically - # opening ports here. - del cluster_name_on_cloud, ports, provider_config + assert provider_config is not None, cluster_name_on_cloud + region = provider_config['region'] + query_helper.create_nsg_rules(region=region, + cluster_name=cluster_name_on_cloud, + ports=ports) @query_utils.debug_enabled(logger) @@ -306,12 +308,11 @@ def cleanup_ports( provider_config: Optional[Dict[str, Any]] = None, ) -> None: """Delete any opened ports.""" - del cluster_name_on_cloud, ports, provider_config - # OCI ports in security groups are opened while creating the new - # VCN (skypilot_vcn). The VCN will only be created at the first - # time when it is not existed. We'll not automatically delete the - # VCN while teardown clusters. it is intended to let user to decide - # to delete the VCN or not from OCI console, for example. + assert provider_config is not None, cluster_name_on_cloud + region = provider_config['region'] + del ports + query_helper.remove_cluster_nsg(region=region, + cluster_name=cluster_name_on_cloud) @query_utils.debug_enabled(logger) diff --git a/sky/provision/oci/query_utils.py b/sky/provision/oci/query_utils.py index 2fbbaf49853..47a0438cb21 100644 --- a/sky/provision/oci/query_utils.py +++ b/sky/provision/oci/query_utils.py @@ -5,6 +5,8 @@ migrated from the old provisioning API. - Hysun He (hysun.he@oracle.com) @ Oct.18, 2024: Enhancement. find_compartment: allow search subtree when find a compartment. + - Hysun He (hysun.he@oracle.com) @ Nov.12, 2024: Add methods to + Add/remove security rules: create_nsg_rules & remove_nsg """ from datetime import datetime import functools @@ -13,12 +15,15 @@ import time import traceback import typing -from typing import Optional +from typing import List, Optional, Tuple +from sky import exceptions from sky import sky_logging from sky.adaptors import common as adaptors_common from sky.adaptors import oci as oci_adaptor from sky.clouds.utils import oci_utils +from sky.provision import constants +from sky.utils import resources_utils if typing.TYPE_CHECKING: import pandas as pd @@ -81,19 +86,33 @@ def query_instances_by_tags(cls, tag_filters, region): return result_set @classmethod + @debug_enabled(logger) def terminate_instances_by_tags(cls, tag_filters, region) -> int: logger.debug(f'Terminate instance by tags: {tag_filters}') + + cluster_name = tag_filters[constants.TAG_RAY_CLUSTER_NAME] + nsg_name = oci_utils.oci_config.NSG_NAME_TEMPLATE.format( + cluster_name=cluster_name) + nsg_id = cls.find_nsg(region, nsg_name, create_if_not_exist=False) + + core_client = oci_adaptor.get_core_client( + region, oci_utils.oci_config.get_profile()) + insts = cls.query_instances_by_tags(tag_filters, region) fail_count = 0 for inst in insts: inst_id = inst.identifier - logger.debug(f'Got instance(to be terminated): {inst_id}') + logger.debug(f'Terminating instance {inst_id}') try: - oci_adaptor.get_core_client( - region, - oci_utils.oci_config.get_profile()).terminate_instance( - inst_id) + # Release the NSG reference so that the NSG can be + # deleted without waiting the instance being terminated. + if nsg_id is not None: + cls.detach_nsg(region, inst, nsg_id) + + # Terminate the instance + core_client.terminate_instance(inst_id) + except oci_adaptor.oci.exceptions.ServiceError as e: fail_count += 1 logger.error(f'Terminate instance failed: {str(e)}\n: {inst}') @@ -468,5 +487,192 @@ def delete_vcn(cls, net_client, skypilot_vcn, skypilot_subnet, logger.error( f'Delete VCN {oci_utils.oci_config.VCN_NAME} Error: {str(e)}') + @classmethod + @debug_enabled(logger) + def find_nsg(cls, region: str, nsg_name: str, + create_if_not_exist: bool) -> Optional[str]: + net_client = oci_adaptor.get_net_client( + region, oci_utils.oci_config.get_profile()) + + compartment = cls.find_compartment(region) + + list_vcns_resp = net_client.list_vcns( + compartment_id=compartment, + display_name=oci_utils.oci_config.VCN_NAME, + lifecycle_state='AVAILABLE', + ) + + if not list_vcns_resp: + raise exceptions.ResourcesUnavailableError( + 'The VCN is not available') + + # Get the primary vnic. + assert len(list_vcns_resp.data) > 0 + vcn = list_vcns_resp.data[0] + + list_nsg_resp = net_client.list_network_security_groups( + compartment_id=compartment, + vcn_id=vcn.id, + limit=1, + display_name=nsg_name, + ) + + nsgs = list_nsg_resp.data + if nsgs: + assert len(nsgs) == 1 + return nsgs[0].id + elif not create_if_not_exist: + return None + + # Continue to create new NSG if not exists + create_nsg_resp = net_client.create_network_security_group( + create_network_security_group_details=oci_adaptor.oci.core.models. + CreateNetworkSecurityGroupDetails( + compartment_id=compartment, + vcn_id=vcn.id, + display_name=nsg_name, + )) + get_nsg_resp = net_client.get_network_security_group( + network_security_group_id=create_nsg_resp.data.id) + oci_adaptor.oci.wait_until( + net_client, + get_nsg_resp, + 'lifecycle_state', + 'AVAILABLE', + ) + + return get_nsg_resp.data.id + + @classmethod + def get_range_min_max(cls, port_range: str) -> Tuple[int, int]: + range_list = port_range.split('-') + if len(range_list) == 1: + return (int(range_list[0]), int(range_list[0])) + from_port, to_port = range_list + return (int(from_port), int(to_port)) + + @classmethod + @debug_enabled(logger) + def create_nsg_rules(cls, region: str, cluster_name: str, + ports: List[str]) -> None: + """ Create per-cluster NSG with ingress rules """ + if not ports: + return + + net_client = oci_adaptor.get_net_client( + region, oci_utils.oci_config.get_profile()) + + nsg_name = oci_utils.oci_config.NSG_NAME_TEMPLATE.format( + cluster_name=cluster_name) + nsg_id = cls.find_nsg(region, nsg_name, create_if_not_exist=True) + + filters = {constants.TAG_RAY_CLUSTER_NAME: cluster_name} + insts = query_helper.query_instances_by_tags(filters, region) + for inst in insts: + vnic = cls.get_instance_primary_vnic( + region=region, + inst_info={ + 'inst_id': inst.identifier, + 'ad': inst.availability_domain, + 'compartment': inst.compartment_id, + }) + nsg_ids = vnic.nsg_ids + if not nsg_ids: + net_client.update_vnic( + vnic_id=vnic.id, + update_vnic_details=oci_adaptor.oci.core.models. + UpdateVnicDetails(nsg_ids=[nsg_id], + skip_source_dest_check=False), + ) + + # pylint: disable=line-too-long + list_nsg_rules_resp = net_client.list_network_security_group_security_rules( + network_security_group_id=nsg_id, + direction='INGRESS', + sort_by='TIMECREATED', + sort_order='DESC', + ) + + ingress_rules: List = list_nsg_rules_resp.data + existing_port_ranges: List[str] = [] + for r in ingress_rules: + if r.tcp_options: + options_range = r.tcp_options.destination_port_range + rule_port_range = f'{options_range.min}-{options_range.max}' + existing_port_ranges.append(rule_port_range) + + new_ports = resources_utils.port_ranges_to_set(ports) + existing_ports = resources_utils.port_ranges_to_set( + existing_port_ranges) + if new_ports.issubset(existing_ports): + # ports already contains in the existing rules, nothing to add. + return + + # Determine the ports to be added, without overlapping. + ports_to_open = new_ports - existing_ports + port_ranges_to_open = resources_utils.port_set_to_ranges(ports_to_open) + + new_rules = [] + for port_range in port_ranges_to_open: + port_range_min, port_range_max = cls.get_range_min_max(port_range) + new_rules.append( + oci_adaptor.oci.core.models.AddSecurityRuleDetails( + direction='INGRESS', + protocol='6', + is_stateless=False, + source=oci_utils.oci_config.VCN_CIDR_INTERNET, + source_type='CIDR_BLOCK', + tcp_options=oci_adaptor.oci.core.models.TcpOptions( + destination_port_range=oci_adaptor.oci.core.models. + PortRange(min=port_range_min, max=port_range_max),), + description=oci_utils.oci_config.SERVICE_PORT_RULE_TAG, + )) + + net_client.add_network_security_group_security_rules( + network_security_group_id=nsg_id, + add_network_security_group_security_rules_details=oci_adaptor.oci. + core.models.AddNetworkSecurityGroupSecurityRulesDetails( + security_rules=new_rules), + ) + + @classmethod + @debug_enabled(logger) + def detach_nsg(cls, region: str, inst, nsg_id: Optional[str]) -> None: + if nsg_id is None: + return + + vnic = cls.get_instance_primary_vnic( + region=region, + inst_info={ + 'inst_id': inst.identifier, + 'ad': inst.availability_domain, + 'compartment': inst.compartment_id, + }) + + # Detatch the NSG before removing it. + oci_adaptor.get_net_client(region, oci_utils.oci_config.get_profile( + )).update_vnic( + vnic_id=vnic.id, + update_vnic_details=oci_adaptor.oci.core.models.UpdateVnicDetails( + nsg_ids=[], skip_source_dest_check=False), + ) + + @classmethod + @debug_enabled(logger) + def remove_cluster_nsg(cls, region: str, cluster_name: str) -> None: + """ Remove NSG of the cluster """ + net_client = oci_adaptor.get_net_client( + region, oci_utils.oci_config.get_profile()) + + nsg_name = oci_utils.oci_config.NSG_NAME_TEMPLATE.format( + cluster_name=cluster_name) + nsg_id = cls.find_nsg(region, nsg_name, create_if_not_exist=False) + if nsg_id is None: + return + + # Delete the NSG + net_client.delete_network_security_group( + network_security_group_id=nsg_id) + query_helper = QueryHelper() diff --git a/sky/utils/controller_utils.py b/sky/utils/controller_utils.py index 44625a2a994..a6657df960d 100644 --- a/sky/utils/controller_utils.py +++ b/sky/utils/controller_utils.py @@ -293,6 +293,13 @@ def _get_cloud_dependencies_installation_commands( 'pip list | grep runpod > /dev/null 2>&1 || ' 'pip install "runpod>=1.5.1" > /dev/null 2>&1') setup_clouds.append(str(cloud)) + elif isinstance(cloud, clouds.OCI): + step_prefix = prefix_str.replace('', + str(len(setup_clouds) + 1)) + commands.append(f'echo -en "\\r{prefix_str}OCI{empty_str}" && ' + 'pip list | grep oci > /dev/null 2>&1 || ' + 'pip install oci > /dev/null 2>&1') + setup_clouds.append(str(cloud)) if controller == Controllers.JOBS_CONTROLLER: if isinstance(cloud, clouds.IBM): step_prefix = prefix_str.replace('', @@ -303,13 +310,6 @@ def _get_cloud_dependencies_installation_commands( 'pip install ibm-cloud-sdk-core ibm-vpc ' 'ibm-platform-services ibm-cos-sdk > /dev/null 2>&1') setup_clouds.append(str(cloud)) - elif isinstance(cloud, clouds.OCI): - step_prefix = prefix_str.replace('', - str(len(setup_clouds) + 1)) - commands.append(f'echo -en "\\r{prefix_str}OCI{empty_str}" && ' - 'pip list | grep oci > /dev/null 2>&1 || ' - 'pip install oci > /dev/null 2>&1') - setup_clouds.append(str(cloud)) if (cloudflare.NAME in storage_lib.get_cached_enabled_storage_clouds_or_refresh()): step_prefix = prefix_str.replace('', str(len(setup_clouds) + 1)) diff --git a/tests/skyserve/http/oci.yaml b/tests/skyserve/http/oci.yaml new file mode 100644 index 00000000000..d7d98c18ab4 --- /dev/null +++ b/tests/skyserve/http/oci.yaml @@ -0,0 +1,10 @@ +service: + readiness_probe: / + replicas: 2 + +resources: + cloud: oci + ports: 8080 + cpus: 2+ + +run: python -m http.server 8080 \ No newline at end of file diff --git a/tests/test_smoke.py b/tests/test_smoke.py index b1ccf0b7d51..c7cc1d17af3 100644 --- a/tests/test_smoke.py +++ b/tests/test_smoke.py @@ -3876,6 +3876,15 @@ def test_skyserve_kubernetes_http(): run_one_test(test) +@pytest.mark.oci +@pytest.mark.serve +def test_skyserve_oci_http(): + """Test skyserve on OCI""" + name = _get_service_name() + test = _get_skyserve_http_test(name, 'oci', 20) + run_one_test(test) + + @pytest.mark.no_fluidstack # Fluidstack does not support T4 gpus for now @pytest.mark.serve def test_skyserve_llm(generic_cloud: str): From a404e3fc9bee7f0865f4118cfdd158de2b51ee28 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Fri, 15 Nov 2024 00:34:45 -0800 Subject: [PATCH 088/152] [Core] Replace ray job submit for 3x/8.5x faster job scheduling for cluster/managed jobs (#4318) * Use process instead of ray job * fix * fix job table * format and comment * format * fix * set pid immediately * Fix cancel * Fix cancel * Fix backward compat * fix cancel for backward compat * Fix backward compat * fix output * fix ray job submit case * set default to -1 * fix cancel jobs * fix cancel for ray job * format * wait job controller up * fix state * Add comment * address comments * fail driver for restart * fix stale job status * update comment * add try catch for job * more robust process killing * add comment * nit * check process pid * fix running * format * Fix no such process * minor * Use daemon for kill process instead * format * update comment * update comment * Fix test * Add initial children * exit early for no children * use aws * add -y * minor format * Update INIT comment * comment for PID * update failed driver message * fix * format * deprecation comment * No need to forcefully kill * No kill * check both nodes for cancel * format * Avoid chain of processes * add check * Allow cancelling state --- sky/backends/backend_utils.py | 11 +- sky/backends/cloud_vm_ray_backend.py | 24 +- sky/jobs/utils.py | 7 +- sky/skylet/constants.py | 2 +- sky/skylet/job_lib.py | 387 +++++++++++++++++--------- sky/skylet/log_lib.py | 35 +-- sky/skylet/subprocess_daemon.py | 46 ++- sky/utils/subprocess_utils.py | 50 ++++ tests/backward_compatibility_tests.sh | 2 +- tests/test_smoke.py | 15 +- 10 files changed, 370 insertions(+), 209 deletions(-) diff --git a/sky/backends/backend_utils.py b/sky/backends/backend_utils.py index 9d797609571..981b7cf34c6 100644 --- a/sky/backends/backend_utils.py +++ b/sky/backends/backend_utils.py @@ -2604,15 +2604,18 @@ def check_stale_runtime_on_remote(returncode: int, stderr: str, pattern = re.compile(r'AttributeError: module \'sky\.(.*)\' has no ' r'attribute \'(.*)\'') if returncode != 0: + # TODO(zhwu): Backward compatibility for old SkyPilot runtime version on + # the remote cluster. Remove this after 0.10.0 is released. attribute_error = re.findall(pattern, stderr) - if attribute_error: + if attribute_error or 'SkyPilot runtime is too old' in stderr: with ux_utils.print_exception_no_traceback(): raise RuntimeError( f'{colorama.Fore.RED}SkyPilot runtime needs to be updated ' - 'on the remote cluster. To update, run (existing jobs are ' - f'not interrupted): {colorama.Style.BRIGHT}sky start -f -y ' + f'on the remote cluster: {cluster_name}. To update, run ' + '(existing jobs will not be interrupted): ' + f'{colorama.Style.BRIGHT}sky start -f -y ' f'{cluster_name}{colorama.Style.RESET_ALL}' - f'\n--- Details ---\n{stderr.strip()}\n') + f'\n--- Details ---\n{stderr.strip()}\n') from None def get_endpoints(cluster: str, diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index e338eecb744..3bbfbc1a2e1 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -276,6 +276,7 @@ def add_prologue(self, job_id: int) -> None: from sky.skylet import constants from sky.skylet import job_lib from sky.utils import log_utils + from sky.utils import subprocess_utils SKY_REMOTE_WORKDIR = {constants.SKY_REMOTE_WORKDIR!r} @@ -3275,14 +3276,13 @@ def _exec_code_on_head( encoded_script = shlex.quote(codegen) create_script_code = (f'{{ echo {encoded_script} > {script_path}; }}') job_submit_cmd = ( - f'RAY_DASHBOARD_PORT=$({constants.SKY_PYTHON_CMD} -c "from sky.skylet import job_lib; print(job_lib.get_job_submission_port())" 2> /dev/null || echo 8265);' # pylint: disable=line-too-long - f'{cd} && {constants.SKY_RAY_CMD} job submit ' - '--address=http://127.0.0.1:$RAY_DASHBOARD_PORT ' - f'--submission-id {job_id}-$(whoami) --no-wait ' - f'"{constants.SKY_PYTHON_CMD} -u {script_path} ' + # JOB_CMD_IDENTIFIER is used for identifying the process retrieved + # with pid is the same driver process. + f'{job_lib.JOB_CMD_IDENTIFIER.format(job_id)} && ' + f'{cd} && {constants.SKY_PYTHON_CMD} -u {script_path}' # Do not use &>, which is not POSIX and may not work. # Note that the order of ">filename 2>&1" matters. - f'> {remote_log_path} 2>&1"') + f'> {remote_log_path} 2>&1') code = job_lib.JobLibCodeGen.queue_job(job_id, job_submit_cmd) job_submit_cmd = ' && '.join([mkdir_code, create_script_code, code]) @@ -3330,6 +3330,10 @@ def _dump_code_to_file(codegen: str) -> None: job_submit_cmd, stream_logs=False, require_outputs=True) + # Happens when someone calls `sky exec` but remote is outdated for + # running a job. Necessitating calling `sky launch`. + backend_utils.check_stale_runtime_on_remote(returncode, stderr, + handle.cluster_name) if returncode == 255 and 'too long' in stdout + stderr: # If the generated script is too long, we retry it with dumping # the script to a file and running it with SSH. We use a general @@ -3344,10 +3348,6 @@ def _dump_code_to_file(codegen: str) -> None: stream_logs=False, require_outputs=True) - # Happens when someone calls `sky exec` but remote is outdated - # necessitating calling `sky launch`. - backend_utils.check_stale_runtime_on_remote(returncode, stdout, - handle.cluster_name) subprocess_utils.handle_returncode(returncode, job_submit_cmd, f'Failed to submit job {job_id}.', @@ -3417,6 +3417,10 @@ def _add_job(self, handle: CloudVmRayResourceHandle, stream_logs=False, require_outputs=True, separate_stderr=True) + # Happens when someone calls `sky exec` but remote is outdated for + # adding a job. Necessitating calling `sky launch`. + backend_utils.check_stale_runtime_on_remote(returncode, stderr, + handle.cluster_name) # TODO(zhwu): this sometimes will unexpectedly fail, we can add # retry for this, after we figure out the reason. subprocess_utils.handle_returncode(returncode, code, diff --git a/sky/jobs/utils.py b/sky/jobs/utils.py index 896740f6ed6..f82e1132678 100644 --- a/sky/jobs/utils.py +++ b/sky/jobs/utils.py @@ -85,7 +85,8 @@ def get_job_status(backend: 'backends.CloudVmRayBackend', cluster_name: str) -> Optional['job_lib.JobStatus']: """Check the status of the job running on a managed job cluster. - It can be None, INIT, RUNNING, SUCCEEDED, FAILED, FAILED_SETUP or CANCELLED. + It can be None, INIT, RUNNING, SUCCEEDED, FAILED, FAILED_DRIVER, + FAILED_SETUP or CANCELLED. """ handle = global_user_state.get_handle_from_cluster_name(cluster_name) assert isinstance(handle, backends.CloudVmRayResourceHandle), handle @@ -866,7 +867,7 @@ def stream_logs(cls, code += inspect.getsource(stream_logs) code += textwrap.dedent(f"""\ - msg = stream_logs({job_id!r}, {job_name!r}, + msg = stream_logs({job_id!r}, {job_name!r}, follow={follow}, controller={controller}) print(msg, flush=True) """) @@ -883,7 +884,7 @@ def set_pending(cls, job_id: int, managed_job_dag: 'dag_lib.Dag') -> str: resources_str = backend_utils.get_task_resources_str( task, is_managed_job=True) code += textwrap.dedent(f"""\ - managed_job_state.set_pending({job_id}, {task_id}, + managed_job_state.set_pending({job_id}, {task_id}, {task.name!r}, {resources_str!r}) """) return cls._build(code) diff --git a/sky/skylet/constants.py b/sky/skylet/constants.py index 91476cf8f6f..77be8119758 100644 --- a/sky/skylet/constants.py +++ b/sky/skylet/constants.py @@ -75,7 +75,7 @@ # cluster yaml is updated. # # TODO(zongheng,zhanghao): make the upgrading of skylet automatic? -SKYLET_VERSION = '8' +SKYLET_VERSION = '9' # The version of the lib files that skylet/jobs use. Whenever there is an API # change for the job_lib or log_lib, we need to bump this version, so that the # user can be notified to update their SkyPilot version on the remote cluster. diff --git a/sky/skylet/job_lib.py b/sky/skylet/job_lib.py index ee7aee85f36..dfd8332b019 100644 --- a/sky/skylet/job_lib.py +++ b/sky/skylet/job_lib.py @@ -8,6 +8,7 @@ import os import pathlib import shlex +import signal import sqlite3 import subprocess import time @@ -27,6 +28,10 @@ _LINUX_NEW_LINE = '\n' _JOB_STATUS_LOCK = '~/.sky/locks/.job_{}.lock' +# JOB_CMD_IDENTIFIER is used for identifying the process retrieved +# with pid is the same driver process to guard against the case where +# the same pid is reused by a different process. +JOB_CMD_IDENTIFIER = 'echo "SKYPILOT_JOB_ID <{}>"' def _get_lock_path(job_id: int) -> str: @@ -46,6 +51,7 @@ class JobInfoLoc(enum.IntEnum): START_AT = 6 END_AT = 7 RESOURCES = 8 + PID = 9 _DB_PATH = os.path.expanduser('~/.sky/jobs.db') @@ -67,6 +73,16 @@ def create_table(cursor, conn): # If the database is locked, it is OK to continue, as the WAL mode # is not critical and is likely to be enabled by other processes. + # Pid column is used for keeping track of the driver process of a job. It + # can be in three states: + # -1: The job was submitted with SkyPilot older than #4318, where we use + # ray job submit to submit the job, i.e. no pid is recorded. This is for + # backward compatibility and should be removed after 0.10.0. + # 0: The job driver process has never been started. When adding a job with + # INIT state, the pid will be set to 0 (the default -1 value is just for + # backward compatibility). + # >=0: The job has been started. The pid is the driver process's pid. + # The driver can be actually running or finished. cursor.execute("""\ CREATE TABLE IF NOT EXISTS jobs ( job_id INTEGER PRIMARY KEY AUTOINCREMENT, @@ -75,7 +91,10 @@ def create_table(cursor, conn): submitted_at FLOAT, status TEXT, run_timestamp TEXT CANDIDATE KEY, - start_at FLOAT DEFAULT -1)""") + start_at FLOAT DEFAULT -1, + end_at FLOAT DEFAULT NULL, + resources TEXT DEFAULT NULL, + pid INTEGER DEFAULT -1)""") cursor.execute("""CREATE TABLE IF NOT EXISTS pending_jobs( job_id INTEGER, @@ -86,7 +105,8 @@ def create_table(cursor, conn): db_utils.add_column_to_table(cursor, conn, 'jobs', 'end_at', 'FLOAT') db_utils.add_column_to_table(cursor, conn, 'jobs', 'resources', 'TEXT') - + db_utils.add_column_to_table(cursor, conn, 'jobs', 'pid', + 'INTEGER DEFAULT -1') conn.commit() @@ -118,6 +138,11 @@ class JobStatus(enum.Enum): # In the 'jobs' table, the `start_at` column will be set to the current # time, when the job is firstly transitioned to RUNNING. RUNNING = 'RUNNING' + # The job driver process failed. This happens when the job driver process + # finishes when the status in job table is still not set to terminal state. + # We should keep this state before the SUCCEEDED, as our job status update + # relies on the order of the statuses to keep the latest status. + FAILED_DRIVER = 'FAILED_DRIVER' # 3 terminal states below: once reached, they do not transition. # The job finished successfully. SUCCEEDED = 'SUCCEEDED' @@ -148,11 +173,16 @@ def colored_str(self): return f'{color}{self.value}{colorama.Style.RESET_ALL}' -# Only update status of the jobs after this many seconds of job submission, -# to avoid race condition with `ray job` to make sure it job has been -# correctly updated. +# We have two steps for job submissions: +# 1. Client reserve a job id from the job table by adding a INIT state job. +# 2. Client updates the job status to PENDING by actually submitting the job's +# command to the scheduler. +# In normal cases, the two steps happens very close to each other through two +# consecutive SSH connections. +# We should update status for INIT job that has been staying in INIT state for +# a while (60 seconds), which likely fails to reach step 2. # TODO(zhwu): This number should be tuned based on heuristics. -_PENDING_SUBMIT_GRACE_PERIOD = 60 +_INIT_SUBMIT_GRACE_PERIOD = 60 _PRE_RESOURCE_STATUSES = [JobStatus.PENDING] @@ -175,7 +205,39 @@ def _run_job(self, job_id: int, run_cmd: str): _CURSOR.execute((f'UPDATE pending_jobs SET submit={int(time.time())} ' f'WHERE job_id={job_id!r}')) _CONN.commit() - subprocess.Popen(run_cmd, shell=True, stdout=subprocess.DEVNULL) + # Use nohup to ensure the job driver process is a separate process tree, + # instead of being a child of the current process. This is important to + # avoid a chain of driver processes (job driver can call schedule_step() + # to submit new jobs, and the new job can also call schedule_step() + # recursively). + # + # echo $! will output the PID of the last background process started + # in the current shell, so we can retrieve it and record in the DB. + # + # TODO(zhwu): A more elegant solution is to use another daemon process + # to be in charge of starting these driver processes, instead of + # starting them in the current process. + wrapped_cmd = (f'nohup bash -c {shlex.quote(run_cmd)} ' + '/dev/null 2>&1 & echo $!') + proc = subprocess.run(wrapped_cmd, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE, + stdin=subprocess.DEVNULL, + start_new_session=True, + check=True, + shell=True, + text=True) + # Get the PID of the detached process + pid = int(proc.stdout.strip()) + + # TODO(zhwu): Backward compatibility, remove this check after 0.10.0. + # This is for the case where the job is submitted with SkyPilot older + # than #4318, using ray job submit. + if 'job submit' in run_cmd: + pid = -1 + _CURSOR.execute((f'UPDATE jobs SET pid={pid} ' + f'WHERE job_id={job_id!r}')) + _CONN.commit() def schedule_step(self, force_update_jobs: bool = False) -> None: if force_update_jobs: @@ -237,59 +299,13 @@ def _get_pending_job_ids(self) -> List[int]: JobStatus.SETTING_UP: colorama.Fore.BLUE, JobStatus.PENDING: colorama.Fore.BLUE, JobStatus.RUNNING: colorama.Fore.GREEN, + JobStatus.FAILED_DRIVER: colorama.Fore.RED, JobStatus.SUCCEEDED: colorama.Fore.GREEN, JobStatus.FAILED: colorama.Fore.RED, JobStatus.FAILED_SETUP: colorama.Fore.RED, JobStatus.CANCELLED: colorama.Fore.YELLOW, } -_RAY_TO_JOB_STATUS_MAP = { - # These are intentionally set this way, because: - # 1. when the ray status indicates the job is PENDING the generated - # python program has been `ray job submit` from the job queue - # and is now PENDING - # 2. when the ray status indicates the job is RUNNING the job can be in - # setup or resources may not be allocated yet, i.e. the job should be - # PENDING. - # For case 2, update_job_status() would compare this mapped PENDING to - # the status in our jobs DB and take the max. This is because the job's - # generated ray program is the only place that can determine a job has - # reserved resources and actually started running: it will set the - # status in the DB to SETTING_UP or RUNNING. - # If there is no setup specified in the task, as soon as it is started - # (ray's status becomes RUNNING), i.e. it will be very rare that the job - # will be set to SETTING_UP by the update_job_status, as our generated - # ray program will set the status to PENDING immediately. - 'PENDING': JobStatus.PENDING, - 'RUNNING': JobStatus.PENDING, - 'SUCCEEDED': JobStatus.SUCCEEDED, - 'FAILED': JobStatus.FAILED, - 'STOPPED': JobStatus.CANCELLED, -} - - -def _create_ray_job_submission_client(): - """Import the ray job submission client.""" - try: - import ray # pylint: disable=import-outside-toplevel - except ImportError: - logger.error('Failed to import ray') - raise - try: - # pylint: disable=import-outside-toplevel - from ray import job_submission - except ImportError: - logger.error( - f'Failed to import job_submission with ray=={ray.__version__}') - raise - port = get_job_submission_port() - return job_submission.JobSubmissionClient( - address=f'http://127.0.0.1:{port}') - - -def make_ray_job_id(sky_job_id: int) -> str: - return f'{sky_job_id}-{getpass.getuser()}' - def make_job_command_with_user_switching(username: str, command: str) -> List[str]: @@ -301,9 +317,10 @@ def add_job(job_name: str, username: str, run_timestamp: str, """Atomically reserve the next available job id for the user.""" job_submitted_at = time.time() # job_id will autoincrement with the null value - _CURSOR.execute('INSERT INTO jobs VALUES (null, ?, ?, ?, ?, ?, ?, null, ?)', - (job_name, username, job_submitted_at, JobStatus.INIT.value, - run_timestamp, None, resources_str)) + _CURSOR.execute( + 'INSERT INTO jobs VALUES (null, ?, ?, ?, ?, ?, ?, null, ?, 0)', + (job_name, username, job_submitted_at, JobStatus.INIT.value, + run_timestamp, None, resources_str)) _CONN.commit() rows = _CURSOR.execute('SELECT job_id FROM jobs WHERE run_timestamp=(?)', (run_timestamp,)) @@ -478,6 +495,7 @@ def _get_records_from_rows(rows) -> List[Dict[str, Any]]: 'start_at': row[JobInfoLoc.START_AT.value], 'end_at': row[JobInfoLoc.END_AT.value], 'resources': row[JobInfoLoc.RESOURCES.value], + 'pid': row[JobInfoLoc.PID.value], }) return records @@ -537,6 +555,23 @@ def _get_pending_job(job_id: int) -> Optional[Dict[str, Any]]: return None +def _is_job_driver_process_running(job_pid: int, job_id: int) -> bool: + """Check if the job driver process is running. + + We check the cmdline to avoid the case where the same pid is reused by a + different process. + """ + if job_pid <= 0: + return False + try: + job_process = psutil.Process(job_pid) + return job_process.is_running() and any( + JOB_CMD_IDENTIFIER.format(job_id) in line + for line in job_process.cmdline()) + except psutil.NoSuchProcess: + return False + + def update_job_status(job_ids: List[int], silent: bool = False) -> List[JobStatus]: """Updates and returns the job statuses matching our `JobStatus` semantics. @@ -554,11 +589,8 @@ def update_job_status(job_ids: List[int], if len(job_ids) == 0: return [] - ray_job_ids = [make_ray_job_id(job_id) for job_id in job_ids] - job_client = _create_ray_job_submission_client() - statuses = [] - for job_id, ray_job_id in zip(job_ids, ray_job_ids): + for job_id in job_ids: # Per-job status lock is required because between the job status # query and the job status update, the job status in the databse # can be modified by the generated ray program. @@ -567,11 +599,13 @@ def update_job_status(job_ids: List[int], job_record = _get_jobs_by_ids([job_id])[0] original_status = job_record['status'] job_submitted_at = job_record['submitted_at'] + job_pid = job_record['pid'] - ray_job_query_time = time.time() + pid_query_time = time.time() + failed_driver_transition_message = None if original_status == JobStatus.INIT: if (job_submitted_at >= psutil.boot_time() and job_submitted_at - >= ray_job_query_time - _PENDING_SUBMIT_GRACE_PERIOD): + >= pid_query_time - _INIT_SUBMIT_GRACE_PERIOD): # The job id is reserved, but the job is not submitted yet. # We should keep it in INIT. status = JobStatus.INIT @@ -582,75 +616,98 @@ def update_job_status(job_ids: List[int], # was killed before the job is submitted. We should set it # to FAILED then. Note, if ray job indicates the job is # running, we will change status to PENDING below. - echo(f'INIT job {job_id} is stale, setting to FAILED') - status = JobStatus.FAILED - - try: - # Querying status within the lock is safer than querying - # outside, as it avoids the race condition when job table is - # updated after the ray job status query. - # Also, getting per-job status is faster than querying all jobs, - # when there are significant number of finished jobs. - # Reference: getting 124 finished jobs takes 0.038s, while - # querying a single job takes 0.006s, 10 jobs takes 0.066s. - # TODO: if too slow, directly query against redis. - ray_job_status = job_client.get_job_status(ray_job_id) - status = _RAY_TO_JOB_STATUS_MAP[ray_job_status.value] - except RuntimeError: - # Job not found. - pass + failed_driver_transition_message = ( + f'INIT job {job_id} is stale, setting to FAILED_DRIVER') + status = JobStatus.FAILED_DRIVER + + # job_pid is 0 if the job is not submitted yet. + # job_pid is -1 if the job is submitted with SkyPilot older than + # #4318, using ray job submit. We skip the checking for those + # jobs. + if job_pid > 0: + if _is_job_driver_process_running(job_pid, job_id): + status = JobStatus.PENDING + else: + # By default, if the job driver process does not exist, + # the actual SkyPilot job is one of the following: + # 1. Still pending to be submitted. + # 2. Submitted and finished. + # 3. Driver failed without correctly setting the job + # status in the job table. + # Although we set the status to FAILED_DRIVER, it can be + # overridden to PENDING if the job is not submitted, or + # any other terminal status if the job driver process + # finished correctly. + failed_driver_transition_message = ( + f'Job {job_id} driver process is not running, but ' + 'the job state is not in terminal states, setting ' + 'it to FAILED_DRIVER') + status = JobStatus.FAILED_DRIVER + elif job_pid < 0: + # TODO(zhwu): Backward compatibility, remove after 0.9.0. + # We set the job status to PENDING instead of actually + # checking ray job status and let the status in job table + # take effect in the later max. + status = JobStatus.PENDING pending_job = _get_pending_job(job_id) if pending_job is not None: if pending_job['created_time'] < psutil.boot_time(): - echo(f'Job {job_id} is stale, setting to FAILED: ' - f'created_time={pending_job["created_time"]}, ' - f'boot_time={psutil.boot_time()}') + failed_driver_transition_message = ( + f'Job {job_id} is stale, setting to FAILED_DRIVER: ' + f'created_time={pending_job["created_time"]}, ' + f'boot_time={psutil.boot_time()}') # The job is stale as it is created before the instance # is booted, e.g. the instance is rebooted. - status = JobStatus.FAILED - # Gives a 60 second grace period between job being submit from - # the pending table until appearing in ray jobs. For jobs - # submitted outside of the grace period, we will consider the - # ray job status. - - if not (pending_job['submit'] > 0 and pending_job['submit'] < - ray_job_query_time - _PENDING_SUBMIT_GRACE_PERIOD): - # Reset the job status to PENDING even though it may not - # appear in the ray jobs, so that it will not be considered - # as stale. + status = JobStatus.FAILED_DRIVER + elif pending_job['submit'] <= 0: + # The job is not submitted (submit <= 0), we set it to + # PENDING. + # For submitted jobs, the driver should have been started, + # because the job_lib.JobScheduler.schedule_step() have + # the submit field and driver process pid set in the same + # job lock. + # The job process check in the above section should + # correctly figured out the status and we don't overwrite + # it here. (Note: the FAILED_DRIVER status will be + # overridden by the actual job terminal status in the table + # if the job driver process finished correctly.) status = JobStatus.PENDING assert original_status is not None, (job_id, status) if status is None: + # The job is submitted but the job driver process pid is not + # set in the database. This is guarding against the case where + # the schedule_step() function is interrupted (e.g., VM stop) + # at the middle of starting a new process and setting the pid. status = original_status if (original_status is not None and not original_status.is_terminal()): - echo(f'Ray job status for job {job_id} is None, ' - 'setting it to FAILED.') - # The job may be stale, when the instance is restarted - # (the ray redis is volatile). We need to reset the - # status of the task to FAILED if its original status - # is RUNNING or PENDING. - status = JobStatus.FAILED + echo(f'Job {job_id} status is None, setting it to ' + 'FAILED_DRIVER.') + # The job may be stale, when the instance is restarted. We + # need to reset the job status to FAILED_DRIVER if its + # original status is in nonterminal_statuses. + echo(f'Job {job_id} is in a unknown state, setting it to ' + 'FAILED_DRIVER') + status = JobStatus.FAILED_DRIVER _set_status_no_lock(job_id, status) - echo(f'Updated job {job_id} status to {status}') else: # Taking max of the status is necessary because: - # 1. It avoids race condition, where the original status has - # already been set to later state by the job. We skip the - # update. - # 2. _RAY_TO_JOB_STATUS_MAP would map `ray job status`'s - # `RUNNING` to our JobStatus.SETTING_UP; if a job has already - # been set to JobStatus.PENDING or JobStatus.RUNNING by the - # generated ray program, `original_status` (job status from our - # DB) would already have that value. So we take the max here to - # keep it at later status. + # 1. The original status has already been set to later + # terminal state by a finished job driver. + # 2. Job driver process check would map any running job process + # to `PENDING`, so we need to take the max to keep it at + # later status for jobs actually started in SETTING_UP or + # RUNNING. status = max(status, original_status) assert status is not None, (job_id, status, original_status) if status != original_status: # Prevents redundant update. _set_status_no_lock(job_id, status) echo(f'Updated job {job_id} status to {status}') + if (status == JobStatus.FAILED_DRIVER and + failed_driver_transition_message is not None): + echo(failed_driver_transition_message) statuses.append(status) return statuses @@ -663,17 +720,13 @@ def fail_all_jobs_in_progress() -> None: f"""\ UPDATE jobs SET status=(?) WHERE status IN ({','.join(['?'] * len(in_progress_status))}) - """, (JobStatus.FAILED.value, *in_progress_status)) + """, (JobStatus.FAILED_DRIVER.value, *in_progress_status)) _CONN.commit() def update_status() -> None: # This will be called periodically by the skylet to update the status # of the jobs in the database, to avoid stale job status. - # NOTE: there might be a INIT job in the database set to FAILED by this - # function, as the ray job status does not exist due to the app - # not submitted yet. It will be then reset to PENDING / RUNNING when the - # app starts. nonterminal_jobs = _get_jobs(username=None, status_list=JobStatus.nonterminal_statuses()) nonterminal_job_ids = [job['job_id'] for job in nonterminal_jobs] @@ -756,6 +809,31 @@ def load_job_queue(payload: str) -> List[Dict[str, Any]]: return jobs +# TODO(zhwu): Backward compatibility for jobs submitted before #4318, remove +# after 0.10.0. +def _create_ray_job_submission_client(): + """Import the ray job submission client.""" + try: + import ray # pylint: disable=import-outside-toplevel + except ImportError: + logger.error('Failed to import ray') + raise + try: + # pylint: disable=import-outside-toplevel + from ray import job_submission + except ImportError: + logger.error( + f'Failed to import job_submission with ray=={ray.__version__}') + raise + port = get_job_submission_port() + return job_submission.JobSubmissionClient( + address=f'http://127.0.0.1:{port}') + + +def _make_ray_job_id(sky_job_id: int) -> str: + return f'{sky_job_id}-{getpass.getuser()}' + + def cancel_jobs_encoded_results(jobs: Optional[List[int]], cancel_all: bool = False) -> str: """Cancel jobs. @@ -783,27 +861,51 @@ def cancel_jobs_encoded_results(jobs: Optional[List[int]], # Cancel jobs with specified IDs. job_records = _get_jobs_by_ids(jobs) - # TODO(zhwu): `job_client.stop_job` will wait for the jobs to be killed, but - # when the memory is not enough, this will keep waiting. - job_client = _create_ray_job_submission_client() cancelled_ids = [] # Sequentially cancel the jobs to avoid the resource number bug caused by # ray cluster (tracked in #1262). - for job in job_records: - job_id = make_ray_job_id(job['job_id']) + for job_record in job_records: + job_id = job_record['job_id'] # Job is locked to ensure that pending queue does not start it while # it is being cancelled - with filelock.FileLock(_get_lock_path(job['job_id'])): - try: - job_client.stop_job(job_id) - except RuntimeError as e: - # If the request to the job server fails, we should not - # set the job to CANCELLED. - if 'does not exist' not in str(e): - logger.warning(str(e)) - continue - + with filelock.FileLock(_get_lock_path(job_id)): + job = _get_jobs_by_ids([job_id])[0] + if _is_job_driver_process_running(job['pid'], job_id): + # Not use process.terminate() as that will only terminate the + # process shell process, not the ray driver process + # under the shell. + # + # We don't kill all the children of the process, like + # subprocess_utils.kill_process_daemon() does, but just the + # process group here, because the underlying job driver can + # start other jobs with `schedule_step`, causing the other job + # driver processes to be children of the current job driver + # process. + # + # Killing the process group is enough as the underlying job + # should be able to clean itself up correctly by ray driver. + # + # The process group pid should be the same as the job pid as we + # use start_new_session=True, but we use os.getpgid() to be + # extra cautious. + job_pgid = os.getpgid(job['pid']) + os.killpg(job_pgid, signal.SIGTERM) + # We don't have to start a daemon to forcefully kill the process + # as our job driver process will clean up the underlying + # child processes. + elif job['pid'] < 0: + try: + # TODO(zhwu): Backward compatibility, remove after 0.9.0. + # The job was submitted with ray job submit before #4318. + job_client = _create_ray_job_submission_client() + job_client.stop_job(_make_ray_job_id(job['job_id'])) + except RuntimeError as e: + # If the request to the job server fails, we should not + # set the job to CANCELLED. + if 'does not exist' not in str(e): + logger.warning(str(e)) + continue # Get the job status again to avoid race condition. job_status = get_status_no_lock(job['job_id']) if job_status in [ @@ -865,10 +967,17 @@ def add_job(cls, job_name: Optional[str], username: str, run_timestamp: str, if job_name is None: job_name = '-' code = [ - 'job_id = job_lib.add_job(' - f'{job_name!r}, ' - f'{username!r}, ' - f'{run_timestamp!r}, ' + # We disallow job submission when SKYLET_VERSION is older than 9, as + # it was using ray job submit before #4318, and switched to raw + # process. Using the old skylet version will cause the job status + # to be stuck in PENDING state or transition to FAILED_DRIVER state. + '\nif int(constants.SKYLET_VERSION) < 9: ' + 'raise RuntimeError("SkyPilot runtime is too old, which does not ' + 'support submitting jobs.")', + '\njob_id = job_lib.add_job(' + f'{job_name!r},' + f'{username!r},' + f'{run_timestamp!r},' f'{resources_str!r})', 'print("Job ID: " + str(job_id), flush=True)', ] @@ -876,9 +985,11 @@ def add_job(cls, job_name: Optional[str], username: str, run_timestamp: str, @classmethod def queue_job(cls, job_id: int, cmd: str) -> str: - code = ['job_lib.scheduler.queue(' - f'{job_id!r},' - f'{cmd!r})'] + code = [ + 'job_lib.scheduler.queue(' + f'{job_id!r},' + f'{cmd!r})', + ] return cls._build(code) @classmethod diff --git a/sky/skylet/log_lib.py b/sky/skylet/log_lib.py index ac5b9d5ee16..fa3f7f9f3fc 100644 --- a/sky/skylet/log_lib.py +++ b/sky/skylet/log_lib.py @@ -183,40 +183,7 @@ def run_with_log( shell=shell, **kwargs) as proc: try: - # The proc can be defunct if the python program is killed. Here we - # open a new subprocess to gracefully kill the proc, SIGTERM - # and then SIGKILL the process group. - # Adapted from ray/dashboard/modules/job/job_manager.py#L154 - parent_pid = os.getpid() - daemon_script = os.path.join( - os.path.dirname(os.path.abspath(job_lib.__file__)), - 'subprocess_daemon.py') - python_path = subprocess.check_output( - constants.SKY_GET_PYTHON_PATH_CMD, - shell=True, - stderr=subprocess.DEVNULL, - encoding='utf-8').strip() - daemon_cmd = [ - python_path, - daemon_script, - '--parent-pid', - str(parent_pid), - '--proc-pid', - str(proc.pid), - ] - - # We do not need to set `start_new_session=True` here, as the - # daemon script will detach itself from the parent process with - # fork to avoid being killed by ray job. See the reason we - # daemonize the process in `sky/skylet/subprocess_daemon.py`. - subprocess.Popen( - daemon_cmd, - # Suppress output - stdout=subprocess.DEVNULL, - stderr=subprocess.DEVNULL, - # Disable input - stdin=subprocess.DEVNULL, - ) + subprocess_utils.kill_process_daemon(proc.pid) stdout = '' stderr = '' diff --git a/sky/skylet/subprocess_daemon.py b/sky/skylet/subprocess_daemon.py index 1261f4ecf72..55b63d1f9a5 100644 --- a/sky/skylet/subprocess_daemon.py +++ b/sky/skylet/subprocess_daemon.py @@ -15,10 +15,11 @@ def daemonize(): This detachment is crucial in the context of SkyPilot and Ray job. When 'sky cancel' is executed, it uses Ray's stop job API to terminate the job. - Without daemonization, this subprocess_daemon process would be terminated - along with its parent process, ray::task, which is launched with Ray job. - Daemonization ensures this process survives the 'sky cancel' command, - allowing it to prevent orphaned processes of Ray job. + Without daemonization, this subprocess_daemon process will still be a child + of the parent process which would be terminated along with the parent + process, ray::task or the cancel request for jobs, which is launched with + Ray job. Daemonization ensures this process survives the 'sky cancel' + command, allowing it to prevent orphaned processes of Ray job. """ # First fork: Creates a child process identical to the parent if os.fork() > 0: @@ -42,6 +43,15 @@ def daemonize(): parser = argparse.ArgumentParser() parser.add_argument('--parent-pid', type=int, required=True) parser.add_argument('--proc-pid', type=int, required=True) + parser.add_argument( + '--initial-children', + type=str, + default='', + help=( + 'Comma-separated list of initial children PIDs. This is to guard ' + 'against the case where the target process has already terminated, ' + 'while the children are still running.'), + ) args = parser.parse_args() process = None @@ -52,24 +62,34 @@ def daemonize(): except psutil.NoSuchProcess: pass - if process is None: - sys.exit() - + # Initialize children list from arguments children = [] - if parent_process is not None: - # Wait for either parent or target process to exit. + if args.initial_children: + for pid in args.initial_children.split(','): + try: + child = psutil.Process(int(pid)) + children.append(child) + except (psutil.NoSuchProcess, ValueError): + pass + + if process is not None and parent_process is not None: + # Wait for either parent or target process to exit while process.is_running() and parent_process.is_running(): try: - # process.children() must be called while the target process - # is alive, as it will return an empty list if the target - # process has already terminated. tmp_children = process.children(recursive=True) if tmp_children: children = tmp_children except psutil.NoSuchProcess: pass time.sleep(1) - children.append(process) + + if process is not None: + # Kill the target process first to avoid having more children, or fail + # the process due to the children being defunct. + children = [process] + children + + if not children: + sys.exit() for child in children: try: diff --git a/sky/utils/subprocess_utils.py b/sky/utils/subprocess_utils.py index acb8fb9f490..28bd2c2ee07 100644 --- a/sky/utils/subprocess_utils.py +++ b/sky/utils/subprocess_utils.py @@ -11,6 +11,7 @@ from sky import exceptions from sky import sky_logging +from sky.skylet import constants from sky.skylet import log_lib from sky.utils import timeline from sky.utils import ux_utils @@ -198,3 +199,52 @@ def run_with_retries( continue break return returncode, stdout, stderr + + +def kill_process_daemon(process_pid: int) -> None: + """Start a daemon as a safety net to kill the process. + + Args: + process_pid: The PID of the process to kill. + """ + # Get initial children list + try: + process = psutil.Process(process_pid) + initial_children = [p.pid for p in process.children(recursive=True)] + except psutil.NoSuchProcess: + initial_children = [] + + parent_pid = os.getpid() + daemon_script = os.path.join( + os.path.dirname(os.path.abspath(log_lib.__file__)), + 'subprocess_daemon.py') + python_path = subprocess.check_output(constants.SKY_GET_PYTHON_PATH_CMD, + shell=True, + stderr=subprocess.DEVNULL, + encoding='utf-8').strip() + daemon_cmd = [ + python_path, + daemon_script, + '--parent-pid', + str(parent_pid), + '--proc-pid', + str(process_pid), + # We pass the initial children list to avoid the race condition where + # the process_pid is terminated before the daemon starts and gets the + # children list. + '--initial-children', + ','.join(map(str, initial_children)), + ] + + # We do not need to set `start_new_session=True` here, as the + # daemon script will detach itself from the parent process with + # fork to avoid being killed by parent process. See the reason we + # daemonize the process in `sky/skylet/subprocess_daemon.py`. + subprocess.Popen( + daemon_cmd, + # Suppress output + stdout=subprocess.DEVNULL, + stderr=subprocess.DEVNULL, + # Disable input + stdin=subprocess.DEVNULL, + ) diff --git a/tests/backward_compatibility_tests.sh b/tests/backward_compatibility_tests.sh index 276fda899dd..696b87ff6ad 100644 --- a/tests/backward_compatibility_tests.sh +++ b/tests/backward_compatibility_tests.sh @@ -187,7 +187,7 @@ sky jobs logs -n "${MANAGED_JOB_JOB_NAME}-7-1" || exit 1 s=$(sky jobs queue | grep ${MANAGED_JOB_JOB_NAME}-7) echo "$s" echo "$s" | grep "SUCCEEDED" | wc -l | grep 2 || exit 1 -echo "$s" | grep "CANCELLED" | wc -l | grep 1 || exit 1 +echo "$s" | grep "CANCELLING\|CANCELLED" | wc -l | grep 1 || exit 1 fi sky down ${CLUSTER_NAME}* -y diff --git a/tests/test_smoke.py b/tests/test_smoke.py index c7cc1d17af3..ce93c3bfa30 100644 --- a/tests/test_smoke.py +++ b/tests/test_smoke.py @@ -465,6 +465,11 @@ def test_aws_with_ssh_proxy_command(): f'sky logs {name} 1 --status', f'export SKYPILOT_CONFIG={f.name}; sky exec {name} echo hi', f'sky logs {name} 2 --status', + # Start a small job to make sure the controller is created. + f'sky jobs launch -n {name}-0 --cloud aws --cpus 2 --use-spot -y echo hi', + # Wait other tests to create the job controller first, so that + # the job controller is not launched with proxy command. + 'timeout 300s bash -c "until sky status sky-jobs-controller* | grep UP; do sleep 1; done"', f'export SKYPILOT_CONFIG={f.name}; sky jobs launch -n {name} --cpus 2 --cloud aws --region us-east-1 -yd echo hi', 'sleep 300', f'{_GET_JOB_QUEUE} | grep {name} | grep "STARTING\|RUNNING\|SUCCEEDED"', @@ -976,7 +981,7 @@ def test_stale_job(generic_cloud: str): 'sleep 100', # Ensure this is large enough, else GCP leaks. f'sky start {name} -y', f'sky logs {name} 1 --status', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep FAILED', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep FAILED_DRIVER', ], f'sky down -y {name}', ) @@ -1007,7 +1012,7 @@ def test_aws_stale_job_manual_restart(): f'sky logs {name} 3 --status', # Ensure the skylet updated the stale job status. f'sleep {events.JobSchedulerEvent.EVENT_INTERVAL_SECONDS}', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep FAILED', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep FAILED_DRIVER', ], f'sky down -y {name}', ) @@ -1038,7 +1043,7 @@ def test_gcp_stale_job_manual_restart(): f'sky logs {name} 3 --status', # Ensure the skylet updated the stale job status. f'sleep {events.JobSchedulerEvent.EVENT_INTERVAL_SECONDS}', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep FAILED', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep FAILED_DRIVER', ], f'sky down -y {name}', ) @@ -2663,7 +2668,7 @@ def test_cancel_pytorch(generic_cloud: str): f'sky launch -c {name} --cloud {generic_cloud} examples/resnet_distributed_torch.yaml -y -d', # Wait the GPU process to start. 'sleep 90', - f'sky exec {name} "(nvidia-smi | grep python) || ' + f'sky exec {name} --num-nodes 2 "(nvidia-smi | grep python) || ' # When run inside container/k8s, nvidia-smi cannot show process ids. # See https://github.com/NVIDIA/nvidia-docker/issues/179 # To work around, we check if GPU utilization is greater than 0. @@ -2671,7 +2676,7 @@ def test_cancel_pytorch(generic_cloud: str): f'sky logs {name} 2 --status', # Ensure the job succeeded. f'sky cancel -y {name} 1', 'sleep 60', - f'sky exec {name} "(nvidia-smi | grep \'No running process\') || ' + f'sky exec {name} --num-nodes 2 "(nvidia-smi | grep \'No running process\') || ' # Ensure Xorg is the only process running. '[ \$(nvidia-smi | grep -A 10 Processes | grep -A 10 === | grep -v Xorg) -eq 2 ]"', f'sky logs {name} 3 --status', # Ensure the job succeeded. From 974ff4f53998781e54a18debec9ac7000a32b1ca Mon Sep 17 00:00:00 2001 From: Zongheng Yang Date: Fri, 15 Nov 2024 07:42:11 -0800 Subject: [PATCH 089/152] [Docs] Fix some issues with Managed Jobs example. (#4361) * [Docs] Fix some issues with Managed Jobs example. * fix * Fix env --- docs/source/examples/managed-jobs.rst | 93 +++++++++++++-------------- 1 file changed, 44 insertions(+), 49 deletions(-) diff --git a/docs/source/examples/managed-jobs.rst b/docs/source/examples/managed-jobs.rst index 018a993f588..61c33b5c43e 100644 --- a/docs/source/examples/managed-jobs.rst +++ b/docs/source/examples/managed-jobs.rst @@ -78,9 +78,9 @@ We can launch it with the following: .. code-block:: console + $ git clone https://github.com/huggingface/transformers.git ~/transformers -b v4.30.1 $ sky jobs launch -n bert-qa bert_qa.yaml - .. code-block:: yaml # bert_qa.yaml @@ -88,39 +88,37 @@ We can launch it with the following: resources: accelerators: V100:1 - # Use spot instances to save cost. - use_spot: true - - # Assume your working directory is under `~/transformers`. - # To make this example work, please run the following command: - # git clone https://github.com/huggingface/transformers.git ~/transformers -b v4.30.1 - workdir: ~/transformers + use_spot: true # Use spot instances to save cost. - setup: | + envs: # Fill in your wandb key: copy from https://wandb.ai/authorize # Alternatively, you can use `--env WANDB_API_KEY=$WANDB_API_KEY` # to pass the key in the command line, during `sky jobs launch`. - echo export WANDB_API_KEY=[YOUR-WANDB-API-KEY] >> ~/.bashrc + WANDB_API_KEY: + + # Assume your working directory is under `~/transformers`. + workdir: ~/transformers + setup: | pip install -e . cd examples/pytorch/question-answering/ pip install -r requirements.txt torch==1.12.1+cu113 --extra-index-url https://download.pytorch.org/whl/cu113 pip install wandb run: | - cd ./examples/pytorch/question-answering/ + cd examples/pytorch/question-answering/ python run_qa.py \ - --model_name_or_path bert-base-uncased \ - --dataset_name squad \ - --do_train \ - --do_eval \ - --per_device_train_batch_size 12 \ - --learning_rate 3e-5 \ - --num_train_epochs 50 \ - --max_seq_length 384 \ - --doc_stride 128 \ - --report_to wandb - + --model_name_or_path bert-base-uncased \ + --dataset_name squad \ + --do_train \ + --do_eval \ + --per_device_train_batch_size 12 \ + --learning_rate 3e-5 \ + --num_train_epochs 50 \ + --max_seq_length 384 \ + --doc_stride 128 \ + --report_to wandb \ + --output_dir /tmp/bert_qa/ .. note:: @@ -162,55 +160,52 @@ An End-to-End Example Below we show an `example `_ for fine-tuning a BERT model on a question-answering task with HuggingFace. .. code-block:: yaml - :emphasize-lines: 13-16,42-45 + :emphasize-lines: 8-11,41-44 # bert_qa.yaml name: bert-qa resources: accelerators: V100:1 - use_spot: true - - # Assume your working directory is under `~/transformers`. - # To make this example work, please run the following command: - # git clone https://github.com/huggingface/transformers.git ~/transformers -b v4.30.1 - workdir: ~/transformers + use_spot: true # Use spot instances to save cost. file_mounts: /checkpoint: name: # NOTE: Fill in your bucket name mode: MOUNT - setup: | + envs: # Fill in your wandb key: copy from https://wandb.ai/authorize # Alternatively, you can use `--env WANDB_API_KEY=$WANDB_API_KEY` # to pass the key in the command line, during `sky jobs launch`. - echo export WANDB_API_KEY=[YOUR-WANDB-API-KEY] >> ~/.bashrc + WANDB_API_KEY: + + # Assume your working directory is under `~/transformers`. + workdir: ~/transformers + setup: | pip install -e . cd examples/pytorch/question-answering/ - pip install -r requirements.txt + pip install -r requirements.txt torch==1.12.1+cu113 --extra-index-url https://download.pytorch.org/whl/cu113 pip install wandb run: | - cd ./examples/pytorch/question-answering/ + cd examples/pytorch/question-answering/ python run_qa.py \ - --model_name_or_path bert-base-uncased \ - --dataset_name squad \ - --do_train \ - --do_eval \ - --per_device_train_batch_size 12 \ - --learning_rate 3e-5 \ - --num_train_epochs 50 \ - --max_seq_length 384 \ - --doc_stride 128 \ - --report_to wandb \ - --run_name $SKYPILOT_TASK_ID \ - --output_dir /checkpoint/bert_qa/ \ - --save_total_limit 10 \ - --save_steps 1000 - - + --model_name_or_path bert-base-uncased \ + --dataset_name squad \ + --do_train \ + --do_eval \ + --per_device_train_batch_size 12 \ + --learning_rate 3e-5 \ + --num_train_epochs 50 \ + --max_seq_length 384 \ + --doc_stride 128 \ + --report_to wandb \ + --output_dir /checkpoint/bert_qa/ \ + --run_name $SKYPILOT_TASK_ID \ + --save_total_limit 10 \ + --save_steps 1000 As HuggingFace has built-in support for periodically checkpointing, we only need to pass the highlighted arguments for setting up the output directory and frequency of checkpointing (see more From 334b268ce27bb9a32a452959648fe98e4307dd9b Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Fri, 15 Nov 2024 09:47:50 -0800 Subject: [PATCH 090/152] [Docs] Fix ask ai location (#4370) Fix ask ai location --- docs/source/_static/custom.js | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/_static/custom.js b/docs/source/_static/custom.js index 3f7689e4d6d..5ae47b7b7be 100644 --- a/docs/source/_static/custom.js +++ b/docs/source/_static/custom.js @@ -7,7 +7,7 @@ document.addEventListener('DOMContentLoaded', function () { script.setAttribute('data-project-logo', 'https://avatars.githubusercontent.com/u/109387420?s=100&v=4'); script.setAttribute('data-modal-disclaimer', 'Results are automatically generated and may be inaccurate or contain inappropriate information. Do not include any sensitive information in your query.\n**To get further assistance, you can chat directly with the development team** by joining the [SkyPilot Slack](https://slack.skypilot.co/).'); script.setAttribute('data-modal-title', 'SkyPilot Docs AI - Ask a Question.'); - script.setAttribute('data-button-position-bottom', '85px'); + script.setAttribute('data-button-position-bottom', '100px'); script.async = true; document.head.appendChild(script); }); From c8ea12bb322ec2a8bace00038cd3e0769ce3b966 Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Fri, 15 Nov 2024 15:28:09 -0800 Subject: [PATCH 091/152] [perf] optimizations for sky jobs launch (#4341) * cache AWS get_user_identities With SSO enabled (and maybe without?) this takes about a second. We already use an lru_cache for Azure, do the same here. * skip optimization for sky jobs launch --yes The only reason we call optimize for jobs_launch is to give a preview of the resources we expect to use, and give the user an opportunity to back out if it's not what they expect. If you use --yes or -y, you don't have a chance to back out and you're probably running from a script, where you don't care. Optimization can take ~2 seconds, so just skip it. * update logging * address PR comments --- sky/cli.py | 19 +++++++++++++++---- sky/clouds/aws.py | 1 + sky/execution.py | 6 ++++++ 3 files changed, 22 insertions(+), 4 deletions(-) diff --git a/sky/cli.py b/sky/cli.py index 490749d1231..c49b692add1 100644 --- a/sky/cli.py +++ b/sky/cli.py @@ -3699,13 +3699,24 @@ def jobs_launch( dag_utils.maybe_infer_and_fill_dag_and_task_names(dag) dag_utils.fill_default_config_in_dag_for_job_launch(dag) - click.secho(f'Managed job {dag.name!r} will be launched on (estimated):', - fg='cyan') dag, _ = admin_policy_utils.apply( dag, use_mutated_config_in_current_request=False) - dag = sky.optimize(dag) - if not yes: + if yes: + # Skip resource preview if -y is set, since we are probably running in + # a script and the user won't have a chance to review it anyway. + # This can save a couple of seconds. + click.secho( + f'Resources for managed job {dag.name!r} will be computed on the ' + 'managed jobs controller, since --yes is set.', + fg='cyan') + + else: + click.secho( + f'Managed job {dag.name!r} will be launched on (estimated):', + fg='cyan') + dag = sky.optimize(dag) + prompt = f'Launching a managed job {dag.name!r}. Proceed?' if prompt is not None: click.confirm(prompt, default=True, abort=True, show_default=True) diff --git a/sky/clouds/aws.py b/sky/clouds/aws.py index 4a9f2d63f35..22e1039f121 100644 --- a/sky/clouds/aws.py +++ b/sky/clouds/aws.py @@ -663,6 +663,7 @@ def _is_access_key_of_type(type_str: str) -> bool: return AWSIdentityType.SHARED_CREDENTIALS_FILE @classmethod + @functools.lru_cache(maxsize=1) # Cache since getting identity is slow. def get_user_identities(cls) -> Optional[List[List[str]]]: """Returns a [UserId, Account] list that uniquely identifies the user. diff --git a/sky/execution.py b/sky/execution.py index cbcfb2b99fe..350a482a418 100644 --- a/sky/execution.py +++ b/sky/execution.py @@ -267,6 +267,12 @@ def _execute( # no-credential machine should not enter optimize(), which # would directly error out ('No cloud is enabled...'). Fix # by moving `sky check` checks out of optimize()? + + controller = controller_utils.Controllers.from_name( + cluster_name) + if controller is not None: + logger.info( + f'Choosing resources for {controller.name}...') dag = sky.optimize(dag, minimize=optimize_target) task = dag.tasks[0] # Keep: dag may have been deep-copied. assert task.best_resources is not None, task From 88813ceffe613f9b9db049f605c96b8e34412b72 Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Fri, 15 Nov 2024 15:29:12 -0800 Subject: [PATCH 092/152] [ux] cache cluster status of autostop or spot clusters for 2s (#4332) * add status_updated_at to DB * don't refresh autostop/spot cluster if it's recently been refreshed * update locking mechanism for status check to early exit * address PR comments * add warning about cluster status lock timeout --- sky/backends/backend_utils.py | 169 +++++++++++++--------- sky/backends/cloud_vm_ray_backend.py | 2 +- sky/clouds/service_catalog/aws_catalog.py | 2 + sky/global_user_state.py | 52 +++++-- sky/utils/timeline.py | 6 +- 5 files changed, 143 insertions(+), 88 deletions(-) diff --git a/sky/backends/backend_utils.py b/sky/backends/backend_utils.py index 981b7cf34c6..8daeedc6a96 100644 --- a/sky/backends/backend_utils.py +++ b/sky/backends/backend_utils.py @@ -100,6 +100,10 @@ CLUSTER_STATUS_LOCK_PATH = os.path.expanduser('~/.sky/.{}.lock') CLUSTER_STATUS_LOCK_TIMEOUT_SECONDS = 20 +# Time that must elapse since the last status check before we should re-check if +# the cluster has been terminated or autostopped. +_CLUSTER_STATUS_CACHE_DURATION_SECONDS = 2 + # Filelocks for updating cluster's file_mounts. CLUSTER_FILE_MOUNTS_LOCK_PATH = os.path.expanduser( '~/.sky/.{}_file_mounts.lock') @@ -1669,11 +1673,27 @@ def check_can_clone_disk_and_override_task( def _update_cluster_status_no_lock( cluster_name: str) -> Optional[Dict[str, Any]]: - """Updates the status of the cluster. + """Update the cluster status. + + The cluster status is updated by checking ray cluster and real status from + cloud. + + The function will update the cached cluster status in the global state. For + the design of the cluster status and transition, please refer to the + sky/design_docs/cluster_status.md + + Returns: + If the cluster is terminated or does not exist, return None. Otherwise + returns the input record with status and handle potentially updated. Raises: + exceptions.ClusterOwnerIdentityMismatchError: if the current user is + not the same as the user who created the cluster. + exceptions.CloudUserIdentityError: if we fail to get the current user + identity. exceptions.ClusterStatusFetchingError: the cluster status cannot be - fetched from the cloud provider. + fetched from the cloud provider or there are leaked nodes causing + the node number larger than expected. """ record = global_user_state.get_cluster_from_name(cluster_name) if record is None: @@ -1893,52 +1913,22 @@ def run_ray_status_to_check_ray_cluster_healthy() -> bool: return global_user_state.get_cluster_from_name(cluster_name) -def _update_cluster_status( - cluster_name: str, - acquire_per_cluster_status_lock: bool, - cluster_status_lock_timeout: int = CLUSTER_STATUS_LOCK_TIMEOUT_SECONDS -) -> Optional[Dict[str, Any]]: - """Update the cluster status. +def _must_refresh_cluster_status( + record: Dict[str, Any], + force_refresh_statuses: Optional[Set[status_lib.ClusterStatus]] +) -> bool: + force_refresh_for_cluster = (force_refresh_statuses is not None and + record['status'] in force_refresh_statuses) - The cluster status is updated by checking ray cluster and real status from - cloud. + use_spot = record['handle'].launched_resources.use_spot + has_autostop = (record['status'] != status_lib.ClusterStatus.STOPPED and + record['autostop'] >= 0) + recently_refreshed = (record['status_updated_at'] is not None and + time.time() - record['status_updated_at'] < + _CLUSTER_STATUS_CACHE_DURATION_SECONDS) + is_stale = (use_spot or has_autostop) and not recently_refreshed - The function will update the cached cluster status in the global state. For - the design of the cluster status and transition, please refer to the - sky/design_docs/cluster_status.md - - Args: - cluster_name: The name of the cluster. - acquire_per_cluster_status_lock: Whether to acquire the per-cluster lock - before updating the status. - cluster_status_lock_timeout: The timeout to acquire the per-cluster - lock. - - Returns: - If the cluster is terminated or does not exist, return None. Otherwise - returns the input record with status and handle potentially updated. - - Raises: - exceptions.ClusterOwnerIdentityMismatchError: if the current user is - not the same as the user who created the cluster. - exceptions.CloudUserIdentityError: if we fail to get the current user - identity. - exceptions.ClusterStatusFetchingError: the cluster status cannot be - fetched from the cloud provider or there are leaked nodes causing - the node number larger than expected. - """ - if not acquire_per_cluster_status_lock: - return _update_cluster_status_no_lock(cluster_name) - - try: - with filelock.FileLock(CLUSTER_STATUS_LOCK_PATH.format(cluster_name), - timeout=cluster_status_lock_timeout): - return _update_cluster_status_no_lock(cluster_name) - except filelock.Timeout: - logger.debug('Refreshing status: Failed get the lock for cluster ' - f'{cluster_name!r}. Using the cached status.') - record = global_user_state.get_cluster_from_name(cluster_name) - return record + return force_refresh_for_cluster or is_stale def refresh_cluster_record( @@ -1956,16 +1946,22 @@ def refresh_cluster_record( Args: cluster_name: The name of the cluster. - force_refresh_statuses: if specified, refresh the cluster if it has one of - the specified statuses. Additionally, clusters satisfying the - following conditions will always be refreshed no matter the - argument is specified or not: - 1. is a spot cluster, or - 2. is a non-spot cluster, is not STOPPED, and autostop is set. + force_refresh_statuses: if specified, refresh the cluster if it has one + of the specified statuses. Additionally, clusters satisfying the + following conditions will be refreshed no matter the argument is + specified or not: + - the most latest available status update is more than + _CLUSTER_STATUS_CACHE_DURATION_SECONDS old, and one of: + 1. the cluster is a spot cluster, or + 2. cluster autostop is set and the cluster is not STOPPED. acquire_per_cluster_status_lock: Whether to acquire the per-cluster lock - before updating the status. + before updating the status. Even if this is True, the lock may not be + acquired if the status does not need to be refreshed. cluster_status_lock_timeout: The timeout to acquire the per-cluster - lock. If timeout, the function will use the cached status. + lock. If timeout, the function will use the cached status. If the + value is <0, do not timeout (wait for the lock indefinitely). By + default, this is set to CLUSTER_STATUS_LOCK_TIMEOUT_SECONDS. Warning: + if correctness is required, you must set this to -1. Returns: If the cluster is terminated or does not exist, return None. @@ -1986,19 +1982,58 @@ def refresh_cluster_record( return None check_owner_identity(cluster_name) - handle = record['handle'] - if isinstance(handle, backends.CloudVmRayResourceHandle): - use_spot = handle.launched_resources.use_spot - has_autostop = (record['status'] != status_lib.ClusterStatus.STOPPED and - record['autostop'] >= 0) - force_refresh_for_cluster = (force_refresh_statuses is not None and - record['status'] in force_refresh_statuses) - if force_refresh_for_cluster or has_autostop or use_spot: - record = _update_cluster_status( - cluster_name, - acquire_per_cluster_status_lock=acquire_per_cluster_status_lock, - cluster_status_lock_timeout=cluster_status_lock_timeout) - return record + if not isinstance(record['handle'], backends.CloudVmRayResourceHandle): + return record + + # The loop logic allows us to notice if the status was updated in the + # global_user_state by another process and stop trying to get the lock. + # The core loop logic is adapted from FileLock's implementation. + lock = filelock.FileLock(CLUSTER_STATUS_LOCK_PATH.format(cluster_name)) + start_time = time.perf_counter() + + # Loop until we have an up-to-date status or until we acquire the lock. + while True: + # Check to see if we can return the cached status. + if not _must_refresh_cluster_status(record, force_refresh_statuses): + return record + + if not acquire_per_cluster_status_lock: + return _update_cluster_status_no_lock(cluster_name) + + # Try to acquire the lock so we can fetch the status. + try: + with lock.acquire(blocking=False): + # Lock acquired. + + # Check the cluster status again, since it could have been + # updated between our last check and acquiring the lock. + record = global_user_state.get_cluster_from_name(cluster_name) + if record is None or not _must_refresh_cluster_status( + record, force_refresh_statuses): + return record + + # Update and return the cluster status. + return _update_cluster_status_no_lock(cluster_name) + except filelock.Timeout: + # lock.acquire() will throw a Timeout exception if the lock is not + # available and we have blocking=False. + pass + + # Logic adapted from FileLock.acquire(). + # If cluster_status_lock_time is <0, we will never hit this. No timeout. + # Otherwise, if we have timed out, return the cached status. This has + # the potential to cause correctness issues, but if so it is the + # caller's responsibility to set the timeout to -1. + if 0 <= cluster_status_lock_timeout < time.perf_counter() - start_time: + logger.debug('Refreshing status: Failed get the lock for cluster ' + f'{cluster_name!r}. Using the cached status.') + return record + time.sleep(0.05) + + # Refresh for next loop iteration. + record = global_user_state.get_cluster_from_name(cluster_name) + if record is None: + return None @timeline.event diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index 3bbfbc1a2e1..d00560ece23 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -3558,7 +3558,7 @@ def _teardown(self, backend_utils.CLUSTER_STATUS_LOCK_PATH.format(cluster_name)) try: - with filelock.FileLock( + with timeline.FileLockEvent( lock_path, backend_utils.CLUSTER_STATUS_LOCK_TIMEOUT_SECONDS): self.teardown_no_lock( diff --git a/sky/clouds/service_catalog/aws_catalog.py b/sky/clouds/service_catalog/aws_catalog.py index 918a4070414..bbd48863755 100644 --- a/sky/clouds/service_catalog/aws_catalog.py +++ b/sky/clouds/service_catalog/aws_catalog.py @@ -20,6 +20,7 @@ from sky.utils import common_utils from sky.utils import resources_utils from sky.utils import rich_utils +from sky.utils import timeline from sky.utils import ux_utils if typing.TYPE_CHECKING: @@ -100,6 +101,7 @@ def _get_az_mappings(aws_user_hash: str) -> Optional['pd.DataFrame']: return az_mappings +@timeline.event def _fetch_and_apply_az_mapping(df: common.LazyDataFrame) -> 'pd.DataFrame': """Maps zone IDs (use1-az1) to zone names (us-east-1x). diff --git a/sky/global_user_state.py b/sky/global_user_state.py index 7c040ea55fc..e9f15df4f52 100644 --- a/sky/global_user_state.py +++ b/sky/global_user_state.py @@ -60,7 +60,8 @@ def create_table(cursor, conn): owner TEXT DEFAULT null, cluster_hash TEXT DEFAULT null, storage_mounts_metadata BLOB DEFAULT null, - cluster_ever_up INTEGER DEFAULT 0)""") + cluster_ever_up INTEGER DEFAULT 0, + status_updated_at INTEGER DEFAULT null)""") # Table for Cluster History # usage_intervals: List[Tuple[int, int]] @@ -130,6 +131,10 @@ def create_table(cursor, conn): # clusters were never really UP, setting it to 1 means they won't be # auto-deleted during any failover. value_to_replace_existing_entries=1) + + db_utils.add_column_to_table(cursor, conn, 'clusters', 'status_updated_at', + 'INTEGER DEFAULT null') + conn.commit() @@ -159,6 +164,7 @@ def add_or_update_cluster(cluster_name: str, status = status_lib.ClusterStatus.INIT if ready: status = status_lib.ClusterStatus.UP + status_updated_at = int(time.time()) # TODO (sumanth): Cluster history table will have multiple entries # when the cluster failover through multiple regions (one entry per region). @@ -191,7 +197,7 @@ def add_or_update_cluster(cluster_name: str, # specified. '(name, launched_at, handle, last_use, status, ' 'autostop, to_down, metadata, owner, cluster_hash, ' - 'storage_mounts_metadata, cluster_ever_up) ' + 'storage_mounts_metadata, cluster_ever_up, status_updated_at) ' 'VALUES (' # name '?, ' @@ -228,7 +234,9 @@ def add_or_update_cluster(cluster_name: str, 'COALESCE(' '(SELECT storage_mounts_metadata FROM clusters WHERE name=?), null), ' # cluster_ever_up - '((SELECT cluster_ever_up FROM clusters WHERE name=?) OR ?)' + '((SELECT cluster_ever_up FROM clusters WHERE name=?) OR ?),' + # status_updated_at + '?' ')', ( # name @@ -260,6 +268,8 @@ def add_or_update_cluster(cluster_name: str, # cluster_ever_up cluster_name, int(ready), + # status_updated_at + status_updated_at, )) launched_nodes = getattr(cluster_handle, 'launched_nodes', None) @@ -330,11 +340,13 @@ def remove_cluster(cluster_name: str, terminate: bool) -> None: # stopped VM, which leads to timeout. if hasattr(handle, 'stable_internal_external_ips'): handle.stable_internal_external_ips = None + current_time = int(time.time()) _DB.cursor.execute( - 'UPDATE clusters SET handle=(?), status=(?) ' - 'WHERE name=(?)', ( + 'UPDATE clusters SET handle=(?), status=(?), ' + 'status_updated_at=(?) WHERE name=(?)', ( pickle.dumps(handle), status_lib.ClusterStatus.STOPPED.value, + current_time, cluster_name, )) _DB.conn.commit() @@ -359,10 +371,10 @@ def get_glob_cluster_names(cluster_name: str) -> List[str]: def set_cluster_status(cluster_name: str, status: status_lib.ClusterStatus) -> None: - _DB.cursor.execute('UPDATE clusters SET status=(?) WHERE name=(?)', ( - status.value, - cluster_name, - )) + current_time = int(time.time()) + _DB.cursor.execute( + 'UPDATE clusters SET status=(?), status_updated_at=(?) WHERE name=(?)', + (status.value, current_time, cluster_name)) count = _DB.cursor.rowcount _DB.conn.commit() assert count <= 1, count @@ -570,15 +582,18 @@ def _load_storage_mounts_metadata( def get_cluster_from_name( cluster_name: Optional[str]) -> Optional[Dict[str, Any]]: - rows = _DB.cursor.execute('SELECT * FROM clusters WHERE name=(?)', - (cluster_name,)).fetchall() + rows = _DB.cursor.execute( + 'SELECT name, launched_at, handle, last_use, status, autostop, ' + 'metadata, to_down, owner, cluster_hash, storage_mounts_metadata, ' + 'cluster_ever_up, status_updated_at FROM clusters WHERE name=(?)', + (cluster_name,)).fetchall() for row in rows: # Explicitly specify the number of fields to unpack, so that # we can add new fields to the database in the future without # breaking the previous code. (name, launched_at, handle, last_use, status, autostop, metadata, - to_down, owner, cluster_hash, storage_mounts_metadata, - cluster_ever_up) = row[:12] + to_down, owner, cluster_hash, storage_mounts_metadata, cluster_ever_up, + status_updated_at) = row[:13] # TODO: use namedtuple instead of dict record = { 'name': name, @@ -594,6 +609,7 @@ def get_cluster_from_name( 'storage_mounts_metadata': _load_storage_mounts_metadata(storage_mounts_metadata), 'cluster_ever_up': bool(cluster_ever_up), + 'status_updated_at': status_updated_at, } return record return None @@ -601,12 +617,15 @@ def get_cluster_from_name( def get_clusters() -> List[Dict[str, Any]]: rows = _DB.cursor.execute( - 'select * from clusters order by launched_at desc').fetchall() + 'select name, launched_at, handle, last_use, status, autostop, ' + 'metadata, to_down, owner, cluster_hash, storage_mounts_metadata, ' + 'cluster_ever_up, status_updated_at from clusters ' + 'order by launched_at desc').fetchall() records = [] for row in rows: (name, launched_at, handle, last_use, status, autostop, metadata, - to_down, owner, cluster_hash, storage_mounts_metadata, - cluster_ever_up) = row[:12] + to_down, owner, cluster_hash, storage_mounts_metadata, cluster_ever_up, + status_updated_at) = row[:13] # TODO: use namedtuple instead of dict record = { 'name': name, @@ -622,6 +641,7 @@ def get_clusters() -> List[Dict[str, Any]]: 'storage_mounts_metadata': _load_storage_mounts_metadata(storage_mounts_metadata), 'cluster_ever_up': bool(cluster_ever_up), + 'status_updated_at': status_updated_at, } records.append(record) diff --git a/sky/utils/timeline.py b/sky/utils/timeline.py index f7244bd9ab2..4db9bd149b2 100644 --- a/sky/utils/timeline.py +++ b/sky/utils/timeline.py @@ -79,11 +79,9 @@ def event(name_or_fn: Union[str, Callable], message: Optional[str] = None): class FileLockEvent: """Serve both as a file lock and event for the lock.""" - def __init__(self, lockfile: Union[str, os.PathLike]): + def __init__(self, lockfile: Union[str, os.PathLike], timeout: float = -1): self._lockfile = lockfile - # TODO(mraheja): remove pylint disabling when filelock version updated - # pylint: disable=abstract-class-instantiated - self._lock = filelock.FileLock(self._lockfile) + self._lock = filelock.FileLock(self._lockfile, timeout) self._hold_lock_event = Event(f'[FileLock.hold]:{self._lockfile}') def acquire(self): From e8d18e31c60e199f5b306a1b60fba91dd00cf766 Mon Sep 17 00:00:00 2001 From: Lei Date: Sat, 16 Nov 2024 10:23:39 +0800 Subject: [PATCH 093/152] [k8s] fix managed job issue on k8s (#4357) Signed-off-by: nkwangleiGIT --- sky/provision/kubernetes/utils.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/sky/provision/kubernetes/utils.py b/sky/provision/kubernetes/utils.py index e5bc4228a8e..ee00e449b78 100644 --- a/sky/provision/kubernetes/utils.py +++ b/sky/provision/kubernetes/utils.py @@ -1693,6 +1693,8 @@ def merge_dicts(source: Dict[Any, Any], destination: Dict[Any, Any]): else: destination[key].extend(value) else: + if destination is None: + destination = {} destination[key] = value From 95e2f281a0441b2043ee1bea7d7cddb4e2e69782 Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Fri, 15 Nov 2024 21:25:00 -0800 Subject: [PATCH 094/152] [Core] Add `NO_UPLOAD` for `remote_identity` (#4307) * Add skip flag to remote_identity * Rename to NO_UPLOAD * Fixes * lint * comments * Add comments * lint --- docs/source/reference/config.rst | 21 ++++++++++++++++--- sky/backends/backend_utils.py | 36 +++++++++++++++++++++++++++++--- sky/utils/schemas.py | 1 + 3 files changed, 52 insertions(+), 6 deletions(-) diff --git a/docs/source/reference/config.rst b/docs/source/reference/config.rst index 5c7152c4074..286788625bd 100644 --- a/docs/source/reference/config.rst +++ b/docs/source/reference/config.rst @@ -244,6 +244,10 @@ Available fields and semantics: # instances. SkyPilot will auto-create and reuse a service account (IAM # role) for AWS instances. # + # NO_UPLOAD: No credentials will be uploaded to the pods. Useful for + # avoiding overriding any existing credentials that may be automounted on + # the cluster. + # # Customized service account (IAM role): or # - : apply the service account with the specified name to all instances. # Example: @@ -263,7 +267,8 @@ Available fields and semantics: # # - This only affects AWS instances. Local AWS credentials will still be # uploaded to non-AWS instances (since those instances may need to access - # AWS resources). + # AWS resources). To fully disable credential upload, set + # `remote_identity: NO_UPLOAD`. # - If the SkyPilot jobs/serve controller is on AWS, this setting will make # non-AWS managed jobs / non-AWS service replicas fail to access any # resources on AWS (since the controllers don't have AWS credential @@ -406,11 +411,16 @@ Available fields and semantics: # instances. SkyPilot will auto-create and reuse a service account for GCP # instances. # + # NO_UPLOAD: No credentials will be uploaded to the pods. Useful for + # avoiding overriding any existing credentials that may be automounted on + # the cluster. + # # Two caveats of SERVICE_ACCOUNT for multicloud users: # # - This only affects GCP instances. Local GCP credentials will still be # uploaded to non-GCP instances (since those instances may need to access - # GCP resources). + # GCP resources). To fully disable credential uploads, set + # `remote_identity: NO_UPLOAD`. # - If the SkyPilot jobs/serve controller is on GCP, this setting will make # non-GCP managed jobs / non-GCP service replicas fail to access any # resources on GCP (since the controllers don't have GCP credential @@ -497,6 +507,10 @@ Available fields and semantics: # SkyPilot will auto-create and reuse a service account with necessary roles # in the user's namespace. # + # NO_UPLOAD: No credentials will be uploaded to the pods. Useful for + # avoiding overriding any existing credentials that may be automounted on + # the cluster. + # # : The name of a service account to use for all Kubernetes pods. # This service account must exist in the user's namespace and have all # necessary permissions. Refer to https://skypilot.readthedocs.io/en/latest/cloud-setup/cloud-permissions/kubernetes.html @@ -505,7 +519,8 @@ Available fields and semantics: # Using SERVICE_ACCOUNT or a custom service account only affects Kubernetes # instances. Local ~/.kube/config will still be uploaded to non-Kubernetes # instances (e.g., a serve controller on GCP or AWS may need to provision - # Kubernetes resources). + # Kubernetes resources). To fully disable credential uploads, set + # `remote_identity: NO_UPLOAD`. # # Default: 'SERVICE_ACCOUNT'. remote_identity: my-k8s-service-account diff --git a/sky/backends/backend_utils.py b/sky/backends/backend_utils.py index 8daeedc6a96..23c2222762a 100644 --- a/sky/backends/backend_utils.py +++ b/sky/backends/backend_utils.py @@ -690,26 +690,56 @@ def write_cluster_config( skypilot_config.get_nested( (str(to_provision.cloud).lower(), 'specific_reservations'), set())) + # Remote identity handling can have 4 cases: + # 1. LOCAL_CREDENTIALS (default for most clouds): Upload local credentials + # 2. SERVICE_ACCOUNT: SkyPilot creates and manages a service account + # 3. Custom service account: Use specified service account + # 4. NO_UPLOAD: Do not upload any credentials + # + # We need to upload credentials only if LOCAL_CREDENTIALS is specified. In + # other cases, we exclude the cloud from credential file uploads after + # running required checks. assert cluster_name is not None - excluded_clouds = [] + excluded_clouds = set() remote_identity_config = skypilot_config.get_nested( (str(cloud).lower(), 'remote_identity'), None) remote_identity = schemas.get_default_remote_identity(str(cloud).lower()) if isinstance(remote_identity_config, str): remote_identity = remote_identity_config if isinstance(remote_identity_config, list): + # Some clouds (e.g., AWS) support specifying multiple service accounts + # chosen based on the cluster name. Do the matching here to pick the + # correct one. for profile in remote_identity_config: if fnmatch.fnmatchcase(cluster_name, list(profile.keys())[0]): remote_identity = list(profile.values())[0] break if remote_identity != schemas.RemoteIdentityOptions.LOCAL_CREDENTIALS.value: - if not cloud.supports_service_account_on_remote(): + # If LOCAL_CREDENTIALS is not specified, we add the cloud to the + # excluded_clouds set, but we must also check if the cloud supports + # service accounts. + if remote_identity == schemas.RemoteIdentityOptions.NO_UPLOAD.value: + # If NO_UPLOAD is specified, fall back to default remote identity + # for downstream logic but add it to excluded_clouds to skip + # credential file uploads. + remote_identity = schemas.get_default_remote_identity( + str(cloud).lower()) + elif not cloud.supports_service_account_on_remote(): raise exceptions.InvalidCloudConfigs( 'remote_identity: SERVICE_ACCOUNT is specified in ' f'{skypilot_config.loaded_config_path!r} for {cloud}, but it ' 'is not supported by this cloud. Remove the config or set: ' '`remote_identity: LOCAL_CREDENTIALS`.') - excluded_clouds = [cloud] + excluded_clouds.add(cloud) + + for cloud_str, cloud_obj in cloud_registry.CLOUD_REGISTRY.items(): + remote_identity_config = skypilot_config.get_nested( + (cloud_str.lower(), 'remote_identity'), None) + if remote_identity_config: + if (remote_identity_config == + schemas.RemoteIdentityOptions.NO_UPLOAD.value): + excluded_clouds.add(cloud_obj) + credentials = sky_check.get_cloud_credential_file_mounts(excluded_clouds) auth_config = {'ssh_private_key': auth.PRIVATE_SSH_KEY_PATH} diff --git a/sky/utils/schemas.py b/sky/utils/schemas.py index 4d5cc809013..0b057e512bf 100644 --- a/sky/utils/schemas.py +++ b/sky/utils/schemas.py @@ -663,6 +663,7 @@ class RemoteIdentityOptions(enum.Enum): """ LOCAL_CREDENTIALS = 'LOCAL_CREDENTIALS' SERVICE_ACCOUNT = 'SERVICE_ACCOUNT' + NO_UPLOAD = 'NO_UPLOAD' def get_default_remote_identity(cloud: str) -> str: From ed4329a724aa583dd02e325e824fd1e36ee32aaf Mon Sep 17 00:00:00 2001 From: Cody Brownstein <105375373+cbrownstein-lambda@users.noreply.github.com> Date: Sat, 16 Nov 2024 14:19:09 -0800 Subject: [PATCH 095/152] Add Lambda's GH200 instance type (#4377) Add GH200 instance type --- sky/clouds/service_catalog/data_fetchers/fetch_lambda_cloud.py | 1 + 1 file changed, 1 insertion(+) diff --git a/sky/clouds/service_catalog/data_fetchers/fetch_lambda_cloud.py b/sky/clouds/service_catalog/data_fetchers/fetch_lambda_cloud.py index e4bb6e8547a..008bfe6abeb 100644 --- a/sky/clouds/service_catalog/data_fetchers/fetch_lambda_cloud.py +++ b/sky/clouds/service_catalog/data_fetchers/fetch_lambda_cloud.py @@ -46,6 +46,7 @@ 'RTX6000': 24576, 'V100': 16384, 'H100': 81920, + 'GH200': 98304, 'GENERAL': None } From bf4ef4da148fbf33b07d48a912f719fd8a2df48a Mon Sep 17 00:00:00 2001 From: mjibril Date: Mon, 18 Nov 2024 17:51:18 +0100 Subject: [PATCH 096/152] [FluidStack] Fix provisioning and add new gpu types (#4359) [FluidStack] Fix provisioning and add new gpu types * Add new `provisioning` status to fix failed deployments * Add H100 SXM5 GPU mapping --- .../data_fetchers/fetch_fluidstack.py | 23 ++++++++++++++++++- sky/provision/fluidstack/instance.py | 4 +--- 2 files changed, 23 insertions(+), 4 deletions(-) diff --git a/sky/clouds/service_catalog/data_fetchers/fetch_fluidstack.py b/sky/clouds/service_catalog/data_fetchers/fetch_fluidstack.py index cf943541e08..7a8b7e42e79 100644 --- a/sky/clouds/service_catalog/data_fetchers/fetch_fluidstack.py +++ b/sky/clouds/service_catalog/data_fetchers/fetch_fluidstack.py @@ -15,6 +15,26 @@ DEFAULT_FLUIDSTACK_API_KEY_PATH = os.path.expanduser('~/.fluidstack/api_key') plan_vcpus_memory = [{ + 'gpu_type': 'H100_SXM5_80GB', + 'gpu_count': 1, + 'min_cpu_count': 52, + 'min_memory': 450 +}, { + 'gpu_type': 'H100_SXM5_80GB', + 'gpu_count': 2, + 'min_cpu_count': 52, + 'min_memory': 450 +}, { + 'gpu_type': 'H100_SXM5_80GB', + 'gpu_count': 4, + 'min_cpu_count': 104, + 'min_memory': 900 +}, { + 'gpu_type': 'H100_SXM5_80GB', + 'gpu_count': 8, + 'min_cpu_count': 192, + 'min_memory': 1800 +}, { 'gpu_type': 'RTX_A6000_48GB', 'gpu_count': 2, 'min_cpu_count': 12, @@ -150,7 +170,8 @@ 'H100_PCIE_80GB': 'H100', 'H100_NVLINK_80GB': 'H100', 'A100_NVLINK_80GB': 'A100-80GB', - 'A100_SXM4_80GB': 'A100-80GB', + 'A100_SXM4_80GB': 'A100-80GB-SXM', + 'H100_SXM5_80GB': 'H100-SXM', 'A100_PCIE_80GB': 'A100-80GB', 'A100_SXM4_40GB': 'A100', 'A100_PCIE_40GB': 'A100', diff --git a/sky/provision/fluidstack/instance.py b/sky/provision/fluidstack/instance.py index 538aafc8887..7fa6cb0463b 100644 --- a/sky/provision/fluidstack/instance.py +++ b/sky/provision/fluidstack/instance.py @@ -79,9 +79,7 @@ def run_instances(region: str, cluster_name_on_cloud: str, config: common.ProvisionConfig) -> common.ProvisionRecord: """Runs instances for the given cluster.""" - pending_status = [ - 'pending', - ] + pending_status = ['pending', 'provisioning'] while True: instances = _filter_instances(cluster_name_on_cloud, pending_status) if len(instances) > config.count: From a441aabef8502f162a33134b3acfbeceafc5c1e8 Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Mon, 18 Nov 2024 10:20:55 -0800 Subject: [PATCH 097/152] [ux] display human-readable name for controller (#4376) --- sky/execution.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/sky/execution.py b/sky/execution.py index 350a482a418..90eb44e069f 100644 --- a/sky/execution.py +++ b/sky/execution.py @@ -272,7 +272,8 @@ def _execute( cluster_name) if controller is not None: logger.info( - f'Choosing resources for {controller.name}...') + f'Choosing resources for {controller.value.name}...' + ) dag = sky.optimize(dag, minimize=optimize_target) task = dag.tasks[0] # Keep: dag may have been deep-copied. assert task.best_resources is not None, task From 6c021970e8b7e7970c31ada02d3a6d90f76b86c6 Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Mon, 18 Nov 2024 15:14:42 -0800 Subject: [PATCH 098/152] [k8s] Handle apt update log not existing (#4381) do not panic if file does not exist, it may be written soon --- sky/provision/kubernetes/instance.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sky/provision/kubernetes/instance.py b/sky/provision/kubernetes/instance.py index 2dcf38f2365..f5e93204934 100644 --- a/sky/provision/kubernetes/instance.py +++ b/sky/provision/kubernetes/instance.py @@ -430,7 +430,7 @@ def pre_init(namespace: str, context: Optional[str], new_nodes: List) -> None: 'start_time=$(date +%s); ' 'while ! grep -q "Fetched" /tmp/apt-update.log 2>/dev/null; do ' ' echo "apt update still running. Logs:"; ' - ' cat /tmp/apt-update.log; ' + ' cat /tmp/apt-update.log || true; ' ' current_time=$(date +%s); ' ' elapsed=$((current_time - start_time)); ' ' if [ $elapsed -ge $timeout_secs ]; then ' From 7ba01eea09e1b1a74494ebdcdb7bf98db78856da Mon Sep 17 00:00:00 2001 From: zpoint Date: Wed, 20 Nov 2024 16:28:29 +0800 Subject: [PATCH 099/152] Support event based smoke test instead of sleep time based to reduce flaky test and faster test (#4284) * event based smoke test * more event based smoke test * more test cases * more test cases with managed jobs * bug fix * bump up seconds * merge master and resolve conflict * restore sleep for fail test case --- tests/test_smoke.py | 212 ++++++++++++++++++++++++++++++++++++-------- 1 file changed, 173 insertions(+), 39 deletions(-) diff --git a/tests/test_smoke.py b/tests/test_smoke.py index ce93c3bfa30..6ba81ce68f0 100644 --- a/tests/test_smoke.py +++ b/tests/test_smoke.py @@ -25,6 +25,7 @@ # Change cloud for generic tests to aws # > pytest tests/test_smoke.py --generic-cloud aws +import enum import inspect import json import os @@ -60,6 +61,8 @@ from sky.data.data_utils import Rclone from sky.skylet import constants from sky.skylet import events +from sky.skylet.job_lib import JobStatus +from sky.status_lib import ClusterStatus from sky.utils import common_utils from sky.utils import resources_utils from sky.utils import subprocess_utils @@ -95,6 +98,84 @@ 'sleep 10; s=$(sky jobs queue);' 'echo "Waiting for job to stop RUNNING"; echo "$s"; done') +# Cluster functions +_ALL_JOB_STATUSES = "|".join([status.value for status in JobStatus]) +_ALL_CLUSTER_STATUSES = "|".join([status.value for status in ClusterStatus]) + +_WAIT_UNTIL_CLUSTER_STATUS_IS = ( + # A while loop to wait until the cluster status + # becomes certain status, with timeout. + 'start_time=$SECONDS; ' + 'while true; do ' + 'if (( $SECONDS - $start_time > {timeout} )); then ' + ' echo "Timeout after {timeout} seconds waiting for cluster status \'{cluster_status}\'"; exit 1; ' + 'fi; ' + 'current_status=$(sky status {cluster_name} --refresh | ' + 'awk "/^{cluster_name}/ ' + '{{for (i=1; i<=NF; i++) if (\$i ~ /^(' + _ALL_CLUSTER_STATUSES + + ')$/) print \$i}}"); ' + 'if [[ "$current_status" =~ {cluster_status} ]]; ' + 'then echo "Target cluster status {cluster_status} reached."; break; fi; ' + 'echo "Waiting for cluster status to become {cluster_status}, current status: $current_status"; ' + 'sleep 10; ' + 'done') + +_WAIT_UNTIL_CLUSTER_IS_NOT_FOUND = ( + # A while loop to wait until the cluster is not found or timeout + 'start_time=$SECONDS; ' + 'while true; do ' + 'if (( $SECONDS - $start_time > {timeout} )); then ' + ' echo "Timeout after {timeout} seconds waiting for cluster to be removed"; exit 1; ' + 'fi; ' + 'if sky status -r {cluster_name}; sky status {cluster_name} | grep "{cluster_name} not found"; then ' + ' echo "Cluster {cluster_name} successfully removed."; break; ' + 'fi; ' + 'echo "Waiting for cluster {name} to be removed..."; ' + 'sleep 10; ' + 'done') + +_WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_ID = ( + # A while loop to wait until the job status + # contains certain status, with timeout. + 'start_time=$SECONDS; ' + 'while true; do ' + 'if (( $SECONDS - $start_time > {timeout} )); then ' + ' echo "Timeout after {timeout} seconds waiting for job status \'{job_status}\'"; exit 1; ' + 'fi; ' + 'current_status=$(sky queue {cluster_name} | ' + 'awk "\\$1 == \\"{job_id}\\" ' + '{{for (i=1; i<=NF; i++) if (\$i ~ /^(' + _ALL_JOB_STATUSES + + ')$/) print \$i}}"); ' + 'found=0; ' # Initialize found variable outside the loop + 'while read -r line; do ' # Read line by line + ' if [[ "$line" =~ {job_status} ]]; then ' # Check each line + ' echo "Target job status {job_status} reached."; ' + ' found=1; ' + ' break; ' # Break inner loop + ' fi; ' + 'done <<< "$current_status"; ' + 'if [ "$found" -eq 1 ]; then break; fi; ' # Break outer loop if match found + 'echo "Waiting for job status to contains {job_status}, current status: $current_status"; ' + 'sleep 10; ' + 'done') + +_WAIT_UNTIL_JOB_STATUS_CONTAINS_WITHOUT_MATCHING_JOB = _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_ID.replace( + 'awk "\\$1 == \\"{job_id}\\"', 'awk "') + +_WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME = _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_ID.replace( + 'awk "\\$1 == \\"{job_id}\\"', 'awk "\\$2 == \\"{job_name}\\"') + +# Managed job functions + +_WAIT_UNTIL_MANAGED_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME = _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.replace( + 'sky queue {cluster_name}', + 'sky jobs queue').replace('awk "\\$2 == ', 'awk "\\$3 == ') + +# After the timeout, the cluster will stop if autostop is set, and our check +# should be more than the timeout. To address this, we extend the timeout by +# _BUMP_UP_SECONDS before exiting. +_BUMP_UP_SECONDS = 35 + DEFAULT_CMD_TIMEOUT = 15 * 60 @@ -399,7 +480,6 @@ def test_launch_fast_with_autostop(generic_cloud: str): # Azure takes ~ 7m15s (435s) to autostop a VM, so here we use 600 to ensure # the VM is stopped. autostop_timeout = 600 if generic_cloud == 'azure' else 250 - test = Test( 'test_launch_fast_with_autostop', [ @@ -407,10 +487,12 @@ def test_launch_fast_with_autostop(generic_cloud: str): f'unset SKYPILOT_DEBUG; s=$(sky launch -y -c {name} --cloud {generic_cloud} --fast -i 1 tests/test_yamls/minimal.yaml) && {_VALIDATE_LAUNCH_OUTPUT}', f'sky logs {name} 1 --status', f'sky status -r {name} | grep UP', - f'sleep {autostop_timeout}', # Ensure cluster is stopped - f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep STOPPED', + _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + cluster_name=name, + cluster_status=ClusterStatus.STOPPED.value, + timeout=autostop_timeout), # Launch again. Do full output validation - we expect the cluster to re-launch f'unset SKYPILOT_DEBUG; s=$(sky launch -y -c {name} --fast -i 1 tests/test_yamls/minimal.yaml) && {_VALIDATE_LAUNCH_OUTPUT}', @@ -842,6 +924,12 @@ def test_clone_disk_aws(): f'sky launch -y -c {name} --cloud aws --region us-east-2 --retry-until-up "echo hello > ~/user_file.txt"', f'sky launch --clone-disk-from {name} -y -c {name}-clone && exit 1 || true', f'sky stop {name} -y', + _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + cluster_name=name, + cluster_status=ClusterStatus.STOPPED.value, + timeout=60), + # Wait for EC2 instance to be in stopped state. + # TODO: event based wait. 'sleep 60', f'sky launch --clone-disk-from {name} -y -c {name}-clone --cloud aws -d --region us-east-2 "cat ~/user_file.txt | grep hello"', f'sky launch --clone-disk-from {name} -y -c {name}-clone-2 --cloud aws -d --region us-east-2 "cat ~/user_file.txt | grep hello"', @@ -888,8 +976,8 @@ def test_gcp_mig(): # Check MIG exists. f'gcloud compute instance-groups managed list --format="value(name)" | grep "^sky-mig-{name}"', f'sky autostop -i 0 --down -y {name}', - 'sleep 120', - f'sky status -r {name}; sky status {name} | grep "{name} not found"', + _WAIT_UNTIL_CLUSTER_IS_NOT_FOUND.format(cluster_name=name, + timeout=120), f'gcloud compute instance-templates list | grep "sky-it-{name}"', # Launch again with the same region. The original instance template # should be removed. @@ -956,8 +1044,10 @@ def test_custom_default_conda_env(generic_cloud: str): f'sky exec {name} tests/test_yamls/test_custom_default_conda_env.yaml', f'sky logs {name} 2 --status', f'sky autostop -y -i 0 {name}', - 'sleep 60', - f'sky status -r {name} | grep "STOPPED"', + _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + cluster_name=name, + cluster_status=ClusterStatus.STOPPED.value, + timeout=80), f'sky start -y {name}', f'sky logs {name} 2 --no-follow | grep -E "myenv\\s+\\*"', f'sky exec {name} tests/test_yamls/test_custom_default_conda_env.yaml', @@ -978,7 +1068,10 @@ def test_stale_job(generic_cloud: str): f'sky launch -y -c {name} --cloud {generic_cloud} "echo hi"', f'sky exec {name} -d "echo start; sleep 10000"', f'sky stop {name} -y', - 'sleep 100', # Ensure this is large enough, else GCP leaks. + _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + cluster_name=name, + cluster_status=ClusterStatus.STOPPED.value, + timeout=100), f'sky start {name} -y', f'sky logs {name} 1 --status', f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep FAILED_DRIVER', @@ -1006,13 +1099,18 @@ def test_aws_stale_job_manual_restart(): '--output text`; ' f'aws ec2 stop-instances --region {region} ' '--instance-ids $id', - 'sleep 40', + _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + cluster_name=name, + cluster_status=ClusterStatus.STOPPED.value, + timeout=40), f'sky launch -c {name} -y "echo hi"', f'sky logs {name} 1 --status', f'sky logs {name} 3 --status', # Ensure the skylet updated the stale job status. - f'sleep {events.JobSchedulerEvent.EVENT_INTERVAL_SECONDS}', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep FAILED_DRIVER', + _WAIT_UNTIL_JOB_STATUS_CONTAINS_WITHOUT_MATCHING_JOB.format( + cluster_name=name, + job_status=JobStatus.FAILED_DRIVER.value, + timeout=events.JobSchedulerEvent.EVENT_INTERVAL_SECONDS), ], f'sky down -y {name}', ) @@ -1042,8 +1140,10 @@ def test_gcp_stale_job_manual_restart(): f'sky logs {name} 1 --status', f'sky logs {name} 3 --status', # Ensure the skylet updated the stale job status. - f'sleep {events.JobSchedulerEvent.EVENT_INTERVAL_SECONDS}', - f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep FAILED_DRIVER', + _WAIT_UNTIL_JOB_STATUS_CONTAINS_WITHOUT_MATCHING_JOB.format( + cluster_name=name, + job_status=JobStatus.FAILED_DRIVER.value, + timeout=events.JobSchedulerEvent.EVENT_INTERVAL_SECONDS) ], f'sky down -y {name}', ) @@ -1861,7 +1961,13 @@ def test_multi_echo(generic_cloud: str): f'until sky logs {name} 32 --status; do echo "Waiting for job 32 to finish..."; sleep 1; done', ] + # Ensure jobs succeeded. - [f'sky logs {name} {i + 1} --status' for i in range(32)] + + [ + _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_ID.format( + cluster_name=name, + job_id=i + 1, + job_status=JobStatus.SUCCEEDED.value, + timeout=120) for i in range(32) + ] + # Ensure monitor/autoscaler didn't crash on the 'assert not # unfulfilled' error. If process not found, grep->ssh returns 1. [f'ssh {name} \'ps aux | grep "[/]"monitor.py\''], @@ -2433,12 +2539,18 @@ def test_gcp_start_stop(): f'sky exec {name} "prlimit -n --pid=\$(pgrep -f \'raylet/raylet --raylet_socket_name\') | grep \'"\'1048576 1048576\'"\'"', # Ensure the raylet process has the correct file descriptor limit. f'sky logs {name} 3 --status', # Ensure the job succeeded. f'sky stop -y {name}', - f'sleep 20', + _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + cluster_name=name, + cluster_status=ClusterStatus.STOPPED.value, + timeout=40), f'sky start -y {name} -i 1', f'sky exec {name} examples/gcp_start_stop.yaml', f'sky logs {name} 4 --status', # Ensure the job succeeded. - 'sleep 180', - f'sky status -r {name} | grep "INIT\|STOPPED"', + _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + cluster_name=name, + cluster_status= + f'({ClusterStatus.STOPPED.value}|{ClusterStatus.INIT.value})', + timeout=200), ], f'sky down -y {name}', ) @@ -2461,9 +2573,12 @@ def test_azure_start_stop(): f'sky start -y {name} -i 1', f'sky exec {name} examples/azure_start_stop.yaml', f'sky logs {name} 3 --status', # Ensure the job succeeded. - 'sleep 260', - f's=$(sky status -r {name}) && echo "$s" && echo "$s" | grep "INIT\|STOPPED"' - f'|| {{ ssh {name} "cat ~/.sky/skylet.log"; exit 1; }}' + _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + cluster_name=name, + cluster_status= + f'({ClusterStatus.STOPPED.value}|{ClusterStatus.INIT.value})', + timeout=280) + + f'|| {{ ssh {name} "cat ~/.sky/skylet.log"; exit 1; }}', ], f'sky down -y {name}', timeout=30 * 60, # 30 mins @@ -2499,8 +2614,10 @@ def test_autostop(generic_cloud: str): f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep UP', # Ensure the cluster is STOPPED. - f'sleep {autostop_timeout}', - f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep STOPPED', + _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + cluster_name=name, + cluster_status=ClusterStatus.STOPPED.value, + timeout=autostop_timeout), # Ensure the cluster is UP and the autostop setting is reset ('-'). f'sky start -y {name}', @@ -2516,8 +2633,10 @@ def test_autostop(generic_cloud: str): f'sky autostop -y {name} -i 1', # Should restart the timer. 'sleep 40', f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep UP', - f'sleep {autostop_timeout}', - f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep STOPPED', + _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + cluster_name=name, + cluster_status=ClusterStatus.STOPPED.value, + timeout=autostop_timeout), # Test restarting the idleness timer via exec: f'sky start -y {name}', @@ -2527,8 +2646,10 @@ def test_autostop(generic_cloud: str): f'sky exec {name} echo hi', # Should restart the timer. 'sleep 45', f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep UP', - f'sleep {autostop_timeout}', - f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep STOPPED', + _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + cluster_name=name, + cluster_status=ClusterStatus.STOPPED.value, + timeout=autostop_timeout + _BUMP_UP_SECONDS), ], f'sky down -y {name}', timeout=total_timeout_minutes * 60, @@ -2745,15 +2866,19 @@ def test_stop_gcp_spot(): f'sky exec {name} -- ls myfile', f'sky logs {name} 2 --status', f'sky autostop {name} -i0 -y', - 'sleep 90', - f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep STOPPED', + _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + cluster_name=name, + cluster_status=ClusterStatus.STOPPED.value, + timeout=90), f'sky start {name} -y', f'sky exec {name} -- ls myfile', f'sky logs {name} 3 --status', # -i option at launch should go through: f'sky launch -c {name} -i0 -y', - 'sleep 120', - f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep STOPPED', + _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + cluster_name=name, + cluster_status=ClusterStatus.STOPPED.value, + timeout=120), ], f'sky down -y {name}', ) @@ -2773,14 +2898,21 @@ def test_managed_jobs(generic_cloud: str): [ f'sky jobs launch -n {name}-1 --cloud {generic_cloud} examples/managed_job.yaml -y -d', f'sky jobs launch -n {name}-2 --cloud {generic_cloud} examples/managed_job.yaml -y -d', - 'sleep 5', - f'{_GET_JOB_QUEUE} | grep {name}-1 | head -n1 | grep "PENDING\|SUBMITTED\|STARTING\|RUNNING"', - f'{_GET_JOB_QUEUE} | grep {name}-2 | head -n1 | grep "PENDING\|SUBMITTED\|STARTING\|RUNNING"', + _WAIT_UNTIL_MANAGED_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.format( + job_name=f'{name}-1', + job_status= + f'({JobStatus.PENDING.value}|{JobStatus.INIT.value}|{JobStatus.RUNNING.value})', + timeout=60), + _WAIT_UNTIL_MANAGED_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.format( + job_name=f'{name}-2', + job_status= + f'({JobStatus.PENDING.value}|{JobStatus.INIT.value}|{JobStatus.RUNNING.value})', + timeout=60), f'sky jobs cancel -y -n {name}-1', - 'sleep 5', - f'{_GET_JOB_QUEUE} | grep {name}-1 | head -n1 | grep "CANCELLING\|CANCELLED"', - 'sleep 200', - f'{_GET_JOB_QUEUE} | grep {name}-1 | head -n1 | grep CANCELLED', + _WAIT_UNTIL_MANAGED_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.format( + job_name=f'{name}-1', + job_status=f'{JobStatus.CANCELLED.value}', + timeout=230), # Test the functionality for logging. f's=$(sky jobs logs -n {name}-2 --no-follow); echo "$s"; echo "$s" | grep "start counting"', f's=$(sky jobs logs --controller -n {name}-2 --no-follow); echo "$s"; echo "$s" | grep "Cluster launched:"', @@ -2850,9 +2982,11 @@ def test_managed_jobs_failed_setup(generic_cloud: str): 'managed_jobs_failed_setup', [ f'sky jobs launch -n {name} --cloud {generic_cloud} -y -d tests/test_yamls/failed_setup.yaml', - 'sleep 330', # Make sure the job failed quickly. - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "FAILED_SETUP"', + _WAIT_UNTIL_MANAGED_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.format( + job_name=name, + job_status=f'{JobStatus.FAILED_SETUP.value}', + timeout=330 + _BUMP_UP_SECONDS), ], f'sky jobs cancel -y -n {name}', # Increase timeout since sky jobs queue -r can be blocked by other spot tests. From 789a9ea6fc54104219ca20aa785ccf69e1d30294 Mon Sep 17 00:00:00 2001 From: zpoint Date: Wed, 20 Nov 2024 17:06:05 +0800 Subject: [PATCH 100/152] [UX] user-friendly message shown if Kubernetes is not enabled. (#4336) try except --- sky/clouds/kubernetes.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/sky/clouds/kubernetes.py b/sky/clouds/kubernetes.py index 5e1b46d52eb..1fe20101407 100644 --- a/sky/clouds/kubernetes.py +++ b/sky/clouds/kubernetes.py @@ -536,7 +536,11 @@ def _make(instance_list): @classmethod def check_credentials(cls) -> Tuple[bool, Optional[str]]: # Test using python API - existing_allowed_contexts = cls._existing_allowed_contexts() + try: + existing_allowed_contexts = cls._existing_allowed_contexts() + except ImportError as e: + return (False, + f'{common_utils.format_exception(e, use_bracket=True)}') if not existing_allowed_contexts: if skypilot_config.loaded_config_path() is None: check_skypilot_config_msg = '' From 50d7bc08302919ee8c89e87b2741db76010a5882 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Wed, 20 Nov 2024 13:37:26 -0800 Subject: [PATCH 101/152] [Jobs] Disable deduplication for logs (#4388) Disable dedup --- sky/backends/cloud_vm_ray_backend.py | 7 +++++++ sky/provision/instance_setup.py | 9 --------- 2 files changed, 7 insertions(+), 9 deletions(-) diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index d00560ece23..2ea67285b8d 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -269,6 +269,13 @@ def add_prologue(self, job_id: int) -> None: import time from typing import Dict, List, Optional, Tuple, Union + # Set the environment variables to avoid deduplicating logs and + # scheduler events. This should be set in driver code, since we are + # not using `ray job submit` anymore, and the environment variables + # from the ray cluster is not inherited. + os.environ['RAY_DEDUP_LOGS'] = '0' + os.environ['RAY_SCHEDULER_EVENTS'] = '0' + import ray import ray.util as ray_util diff --git a/sky/provision/instance_setup.py b/sky/provision/instance_setup.py index 8c390adaf87..df1a96427c1 100644 --- a/sky/provision/instance_setup.py +++ b/sky/provision/instance_setup.py @@ -277,16 +277,8 @@ def start_ray_on_head_node(cluster_name: str, custom_resource: Optional[str], for key, value in cluster_info.custom_ray_options.items(): ray_options += f' --{key}={value}' - # Unset AWS_ACCESS_KEY_ID AWS_SECRET_ACCESS_KEY to avoid using credentials - # from environment variables set by user. SkyPilot's ray cluster should use - # the `~/.aws/` credentials, as that is the one used to create the cluster, - # and the autoscaler module started by the `ray start` command should use - # the same credentials. Otherwise, `ray status` will fail to fetch the - # available nodes. - # Reference: https://github.com/skypilot-org/skypilot/issues/2441 cmd = ( f'{constants.SKY_RAY_CMD} stop; ' - 'unset AWS_ACCESS_KEY_ID AWS_SECRET_ACCESS_KEY; ' 'RAY_SCHEDULER_EVENTS=0 RAY_DEDUP_LOGS=0 ' # worker_maximum_startup_concurrency controls the maximum number of # workers that can be started concurrently. However, it also controls @@ -372,7 +364,6 @@ def start_ray_on_worker_nodes(cluster_name: str, no_restart: bool, # Unset AWS_ACCESS_KEY_ID AWS_SECRET_ACCESS_KEY, see the comment in # `start_ray_on_head_node`. cmd = ( - f'unset AWS_ACCESS_KEY_ID AWS_SECRET_ACCESS_KEY; ' 'RAY_SCHEDULER_EVENTS=0 RAY_DEDUP_LOGS=0 ' f'{constants.SKY_RAY_CMD} start --disable-usage-stats {ray_options} || ' 'exit 1;' + _RAY_PRLIMIT) From 627be7298f987ddf6ada7f3c0cf849edde97240a Mon Sep 17 00:00:00 2001 From: Hysun He Date: Thu, 21 Nov 2024 05:38:39 +0800 Subject: [PATCH 102/152] [OCI] set zone in the ProvisionRecord (#4383) * fix: Add zone to the ProvisionRecord * fix --- sky/provision/oci/instance.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/sky/provision/oci/instance.py b/sky/provision/oci/instance.py index 811d27d0e21..e04089ff8d4 100644 --- a/sky/provision/oci/instance.py +++ b/sky/provision/oci/instance.py @@ -123,8 +123,8 @@ def run_instances(region: str, cluster_name_on_cloud: str, # Let's create additional new nodes (if neccessary) to_start_count = config.count - len(resume_instances) created_instances = [] + node_config = config.node_config if to_start_count > 0: - node_config = config.node_config compartment = query_helper.find_compartment(region) vcn = query_helper.find_create_vcn_subnet(region) @@ -242,10 +242,12 @@ def run_instances(region: str, cluster_name_on_cloud: str, assert head_instance_id is not None, head_instance_id + # Format: TenancyPrefix:AvailabilityDomain, e.g. bxtG:US-SANJOSE-1-AD-1 + _, ad = str(node_config['AvailabilityDomain']).split(':', maxsplit=1) return common.ProvisionRecord( provider_name='oci', region=region, - zone=None, + zone=ad, cluster_name=cluster_name_on_cloud, head_instance_id=head_instance_id, created_instance_ids=[n['inst_id'] for n in created_instances], From ecf5b000591a50d99491c226d1d7bd574f037f00 Mon Sep 17 00:00:00 2001 From: Hysun He Date: Thu, 21 Nov 2024 23:11:20 +0800 Subject: [PATCH 103/152] [Examples] Specify version for vllm cuz vllm v0.6.4.post1 has issue (#4391) * [OCI] Specify vllm version because the latest vllm v0.6.4.post1 has issue * version for vllm-flash-attn --- examples/oci/serve-qwen-7b.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/oci/serve-qwen-7b.yaml b/examples/oci/serve-qwen-7b.yaml index 799e5a7d891..004e912b088 100644 --- a/examples/oci/serve-qwen-7b.yaml +++ b/examples/oci/serve-qwen-7b.yaml @@ -13,8 +13,8 @@ resources: setup: | conda create -n vllm python=3.12 -y conda activate vllm - pip install vllm - pip install vllm-flash-attn + pip install vllm==0.6.3.post1 + pip install vllm-flash-attn==2.6.2 run: | conda activate vllm From 225c7e07e8be643be3375c903f7b513530799006 Mon Sep 17 00:00:00 2001 From: Hysun He Date: Fri, 22 Nov 2024 10:09:24 +0800 Subject: [PATCH 104/152] [docs] Specify compartment for OCI resources. (#4384) * [docs] Specify compartment for OCI resources. * Add link to compartment definition page --- docs/source/getting-started/installation.rst | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/docs/source/getting-started/installation.rst b/docs/source/getting-started/installation.rst index 69303a582e2..deb2307b67b 100644 --- a/docs/source/getting-started/installation.rst +++ b/docs/source/getting-started/installation.rst @@ -267,6 +267,14 @@ The :code:`~/.oci/config` file should contain the following fields: # Note that we should avoid using full home path for the key_file configuration, e.g. use ~/.oci instead of /home/username/.oci key_file=~/.oci/oci_api_key.pem +By default, the provisioned nodes will be in the root `compartment `__. To specify the `compartment `_ other than root, create/edit the file :code:`~/.sky/config.yaml`, put the compartment's OCID there, as the following: + +.. code-block:: text + + oci: + default: + compartment_ocid: ocid1.compartment.oc1..aaaaaaaa...... + Lambda Cloud ~~~~~~~~~~~~~~~~~~ From aca090eb36f8146fb07ba88c7cb98ef7befec6d0 Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Thu, 21 Nov 2024 18:17:20 -0800 Subject: [PATCH 105/152] [k8s] Improve multi-node provisioning time (nimbus) (#4393) * Tracking k8s events with timeline * Remove SSH wait * Parallelize pod creation and status check * Parallelize labelling, add docs on optimizing base image, bump default provision timeout * More parallelization, batching and optimizations * lint * correctness * Fix double launch bug * fix num threads * Add fd limit warning * [k8s] Move setup and ray start to pod args to make them async (#4389) * move scripts to args * Avoid ray setup * fix * Add checks for ray healthiness * remove bc installation * wait for healthy * add todo * fix * fix * format * format * remove unnecessary logging * print out error setup * Add comment * clean up the logging * style * Fixes for ubuntu images * format * remove unused comments * Optimize ray start * add comments * Add comments * Fix comments and logging * missing end_epoch * Add logging * Longer timeout and trigger ray start * Fixes for the ray port and AWS credential setup * Update netcat-openbsd, comments * _NUM_THREADS rename * add num_nodes to calculate timeout * lint * revert * use uv for pip install and for venv creation (#4394) * use uv for pip install and for venv creation uv is a tool that can replace pip and venv (and some other stuff we're not using I think). It's written in rust and in testing is significantly faster for many operation, especially things like `pip list` or `pip install skypilot` when skypilot or all its dependencies are already installed. * add comment to SKY_PIP_CMD * sudo handling for ray * Add comment in dockerfile * fix pod checks * lint --------- Co-authored-by: Zhanghao Wu Co-authored-by: Christopher Cooper --- Dockerfile_k8s | 2 +- Dockerfile_k8s_gpu | 3 +- .../kubernetes/kubernetes-getting-started.rst | 29 +++ sky/backends/backend_utils.py | 35 +-- sky/backends/cloud_vm_ray_backend.py | 17 +- sky/clouds/aws.py | 1 + sky/clouds/azure.py | 1 + sky/clouds/cloud.py | 1 + sky/clouds/cudo.py | 1 + sky/clouds/fluidstack.py | 1 + sky/clouds/gcp.py | 1 + sky/clouds/ibm.py | 1 + sky/clouds/kubernetes.py | 48 +++- sky/clouds/lambda_cloud.py | 1 + sky/clouds/oci.py | 1 + sky/clouds/paperspace.py | 1 + sky/clouds/runpod.py | 1 + sky/clouds/scp.py | 1 + sky/clouds/vsphere.py | 1 + sky/provision/instance_setup.py | 154 ++++++------- sky/provision/kubernetes/instance.py | 184 +++++++++------- sky/provision/kubernetes/utils.py | 2 + sky/provision/provisioner.py | 102 +++++++-- sky/resources.py | 3 +- sky/skylet/constants.py | 52 +++-- sky/templates/kubernetes-ray.yml.j2 | 208 ++++++++++++++---- sky/utils/subprocess_utils.py | 53 ++++- tests/unit_tests/test_resources.py | 3 + 28 files changed, 653 insertions(+), 255 deletions(-) diff --git a/Dockerfile_k8s b/Dockerfile_k8s index 45625871078..f031dff3668 100644 --- a/Dockerfile_k8s +++ b/Dockerfile_k8s @@ -7,7 +7,7 @@ ARG DEBIAN_FRONTEND=noninteractive # Initialize conda for root user, install ssh and other local dependencies RUN apt update -y && \ - apt install git gcc rsync sudo patch openssh-server pciutils nano fuse socat netcat curl -y && \ + apt install git gcc rsync sudo patch openssh-server pciutils nano fuse socat netcat-openbsd curl -y && \ rm -rf /var/lib/apt/lists/* && \ apt remove -y python3 && \ conda init diff --git a/Dockerfile_k8s_gpu b/Dockerfile_k8s_gpu index 09570d102df..6277e7f8d12 100644 --- a/Dockerfile_k8s_gpu +++ b/Dockerfile_k8s_gpu @@ -7,7 +7,7 @@ ARG DEBIAN_FRONTEND=noninteractive # We remove cuda lists to avoid conflicts with the cuda version installed by ray RUN rm -rf /etc/apt/sources.list.d/cuda* && \ apt update -y && \ - apt install git gcc rsync sudo patch openssh-server pciutils nano fuse unzip socat netcat curl -y && \ + apt install git gcc rsync sudo patch openssh-server pciutils nano fuse unzip socat netcat-openbsd curl -y && \ rm -rf /var/lib/apt/lists/* # Setup SSH and generate hostkeys @@ -36,6 +36,7 @@ SHELL ["/bin/bash", "-c"] # Install conda and other dependencies # Keep the conda and Ray versions below in sync with the ones in skylet.constants +# Keep this section in sync with the custom image optimization recommendations in our docs (kubernetes-getting-started.rst) RUN curl https://repo.anaconda.com/miniconda/Miniconda3-py310_23.11.0-2-Linux-x86_64.sh -o Miniconda3-Linux-x86_64.sh && \ bash Miniconda3-Linux-x86_64.sh -b && \ eval "$(~/miniconda3/bin/conda shell.bash hook)" && conda init && conda config --set auto_activate_base true && conda activate base && \ diff --git a/docs/source/reference/kubernetes/kubernetes-getting-started.rst b/docs/source/reference/kubernetes/kubernetes-getting-started.rst index 0e19eb6e266..e4bbb2c8915 100644 --- a/docs/source/reference/kubernetes/kubernetes-getting-started.rst +++ b/docs/source/reference/kubernetes/kubernetes-getting-started.rst @@ -324,3 +324,32 @@ FAQs type: Directory For more details refer to :ref:`config-yaml`. + +* **I am using a custom image. How can I speed up the pod startup time?** + + You can pre-install SkyPilot dependencies in your custom image to speed up the pod startup time. Simply add these lines at the end of your Dockerfile: + + .. code-block:: dockerfile + + FROM + + # Install system dependencies + RUN apt update -y && \ + apt install git gcc rsync sudo patch openssh-server pciutils fuse unzip socat netcat-openbsd curl -y && \ + rm -rf /var/lib/apt/lists/* + + # Install conda and other python dependencies + RUN curl https://repo.anaconda.com/miniconda/Miniconda3-py310_23.11.0-2-Linux-x86_64.sh -o Miniconda3-Linux-x86_64.sh && \ + bash Miniconda3-Linux-x86_64.sh -b && \ + eval "$(~/miniconda3/bin/conda shell.bash hook)" && conda init && conda config --set auto_activate_base true && conda activate base && \ + grep "# >>> conda initialize >>>" ~/.bashrc || { conda init && source ~/.bashrc; } && \ + rm Miniconda3-Linux-x86_64.sh && \ + export PIP_DISABLE_PIP_VERSION_CHECK=1 && \ + python3 -m venv ~/skypilot-runtime && \ + PYTHON_EXEC=$(echo ~/skypilot-runtime)/bin/python && \ + $PYTHON_EXEC -m pip install 'skypilot-nightly[remote,kubernetes]' 'ray[default]==2.9.3' 'pycryptodome==3.12.0' && \ + $PYTHON_EXEC -m pip uninstall skypilot-nightly -y && \ + curl -LO "https://dl.k8s.io/release/v1.28.11/bin/linux/amd64/kubectl" && \ + sudo install -o root -g root -m 0755 kubectl /usr/local/bin/kubectl && \ + echo 'export PATH="$PATH:$HOME/.local/bin"' >> ~/.bashrc + diff --git a/sky/backends/backend_utils.py b/sky/backends/backend_utils.py index 23c2222762a..5902510b626 100644 --- a/sky/backends/backend_utils.py +++ b/sky/backends/backend_utils.py @@ -683,7 +683,7 @@ def write_cluster_config( resources_utils.ClusterName( cluster_name, cluster_name_on_cloud, - ), region, zones, dryrun) + ), region, zones, num_nodes, dryrun) config_dict = {} specific_reservations = set( @@ -844,7 +844,11 @@ def write_cluster_config( '{sky_wheel_hash}', wheel_hash).replace('{cloud}', str(cloud).lower())), - + 'skypilot_wheel_installation_commands': + constants.SKYPILOT_WHEEL_INSTALLATION_COMMANDS.replace( + '{sky_wheel_hash}', + wheel_hash).replace('{cloud}', + str(cloud).lower()), # Port of Ray (GCS server). # Ray's default port 6379 is conflicted with Redis. 'ray_port': constants.SKY_REMOTE_RAY_PORT, @@ -1191,18 +1195,18 @@ def ssh_credential_from_yaml( def parallel_data_transfer_to_nodes( - runners: List[command_runner.CommandRunner], - source: Optional[str], - target: str, - cmd: Optional[str], - run_rsync: bool, - *, - action_message: str, - # Advanced options. - log_path: str = os.devnull, - stream_logs: bool = False, - source_bashrc: bool = False, -): + runners: List[command_runner.CommandRunner], + source: Optional[str], + target: str, + cmd: Optional[str], + run_rsync: bool, + *, + action_message: str, + # Advanced options. + log_path: str = os.devnull, + stream_logs: bool = False, + source_bashrc: bool = False, + num_threads: Optional[int] = None): """Runs a command on all nodes and optionally runs rsync from src->dst. Args: @@ -1214,6 +1218,7 @@ def parallel_data_transfer_to_nodes( log_path: str; Path to the log file stream_logs: bool; Whether to stream logs to stdout source_bashrc: bool; Source bashrc before running the command. + num_threads: Optional[int]; Number of threads to use. """ style = colorama.Style @@ -1254,7 +1259,7 @@ def _sync_node(runner: 'command_runner.CommandRunner') -> None: message = (f' {style.DIM}{action_message} (to {num_nodes} node{plural})' f': {origin_source} -> {target}{style.RESET_ALL}') logger.info(message) - subprocess_utils.run_in_parallel(_sync_node, runners) + subprocess_utils.run_in_parallel(_sync_node, runners, num_threads) def check_local_gpus() -> bool: diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index 2ea67285b8d..5682cf24586 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -1535,7 +1535,7 @@ def _retry_zones( to_provision, resources_utils.ClusterName( cluster_name, handle.cluster_name_on_cloud), - region, zones)) + region, zones, num_nodes)) config_dict['provision_record'] = provision_record config_dict['resources_vars'] = resources_vars config_dict['handle'] = handle @@ -3093,9 +3093,12 @@ def _sync_workdir_node(runner: command_runner.CommandRunner) -> None: f'{workdir} -> {SKY_REMOTE_WORKDIR}{style.RESET_ALL}') os.makedirs(os.path.expanduser(self.log_dir), exist_ok=True) os.system(f'touch {log_path}') + num_threads = subprocess_utils.get_parallel_threads( + str(handle.launched_resources.cloud)) with rich_utils.safe_status( ux_utils.spinner_message('Syncing workdir', log_path)): - subprocess_utils.run_in_parallel(_sync_workdir_node, runners) + subprocess_utils.run_in_parallel(_sync_workdir_node, runners, + num_threads) logger.info(ux_utils.finishing_message('Workdir synced.', log_path)) def _sync_file_mounts( @@ -4423,6 +4426,8 @@ def _execute_file_mounts(self, handle: CloudVmRayResourceHandle, start = time.time() runners = handle.get_command_runners() log_path = os.path.join(self.log_dir, 'file_mounts.log') + num_threads = subprocess_utils.get_max_workers_for_file_mounts( + file_mounts, str(handle.launched_resources.cloud)) # Check the files and warn for dst, src in file_mounts.items(): @@ -4484,6 +4489,7 @@ def _execute_file_mounts(self, handle: CloudVmRayResourceHandle, action_message='Syncing', log_path=log_path, stream_logs=False, + num_threads=num_threads, ) continue @@ -4520,6 +4526,7 @@ def _execute_file_mounts(self, handle: CloudVmRayResourceHandle, # Need to source bashrc, as the cloud specific CLI or SDK may # require PATH in bashrc. source_bashrc=True, + num_threads=num_threads, ) # (2) Run the commands to create symlinks on all the nodes. symlink_command = ' && '.join(symlink_commands) @@ -4538,7 +4545,8 @@ def _symlink_node(runner: command_runner.CommandRunner): 'Failed to create symlinks. The target destination ' f'may already exist. Log: {log_path}') - subprocess_utils.run_in_parallel(_symlink_node, runners) + subprocess_utils.run_in_parallel(_symlink_node, runners, + num_threads) end = time.time() logger.debug(f'File mount sync took {end - start} seconds.') logger.info(ux_utils.finishing_message('Files synced.', log_path)) @@ -4567,6 +4575,8 @@ def _execute_storage_mounts( return start = time.time() runners = handle.get_command_runners() + num_threads = subprocess_utils.get_parallel_threads( + str(handle.launched_resources.cloud)) log_path = os.path.join(self.log_dir, 'storage_mounts.log') plural = 's' if len(storage_mounts) > 1 else '' @@ -4605,6 +4615,7 @@ def _execute_storage_mounts( # Need to source bashrc, as the cloud specific CLI or SDK # may require PATH in bashrc. source_bashrc=True, + num_threads=num_threads, ) except exceptions.CommandError as e: if e.returncode == exceptions.MOUNT_PATH_NON_EMPTY_CODE: diff --git a/sky/clouds/aws.py b/sky/clouds/aws.py index 22e1039f121..c42d67f8ba4 100644 --- a/sky/clouds/aws.py +++ b/sky/clouds/aws.py @@ -401,6 +401,7 @@ def make_deploy_resources_variables( cluster_name: resources_utils.ClusterName, region: 'clouds.Region', zones: Optional[List['clouds.Zone']], + num_nodes: int, dryrun: bool = False) -> Dict[str, Any]: del dryrun # unused assert zones is not None, (region, zones) diff --git a/sky/clouds/azure.py b/sky/clouds/azure.py index 9d399869666..eb76d2b5e48 100644 --- a/sky/clouds/azure.py +++ b/sky/clouds/azure.py @@ -302,6 +302,7 @@ def make_deploy_resources_variables( cluster_name: resources_utils.ClusterName, region: 'clouds.Region', zones: Optional[List['clouds.Zone']], + num_nodes: int, dryrun: bool = False) -> Dict[str, Any]: assert zones is None, ('Azure does not support zones', zones) diff --git a/sky/clouds/cloud.py b/sky/clouds/cloud.py index d8e6deac4f4..455baeaf5d9 100644 --- a/sky/clouds/cloud.py +++ b/sky/clouds/cloud.py @@ -283,6 +283,7 @@ def make_deploy_resources_variables( cluster_name: resources_utils.ClusterName, region: 'Region', zones: Optional[List['Zone']], + num_nodes: int, dryrun: bool = False, ) -> Dict[str, Optional[str]]: """Converts planned sky.Resources to cloud-specific resource variables. diff --git a/sky/clouds/cudo.py b/sky/clouds/cudo.py index 6f02e007049..145a5d1c26e 100644 --- a/sky/clouds/cudo.py +++ b/sky/clouds/cudo.py @@ -196,6 +196,7 @@ def make_deploy_resources_variables( cluster_name: resources_utils.ClusterName, region: 'clouds.Region', zones: Optional[List['clouds.Zone']], + num_nodes: int, dryrun: bool = False, ) -> Dict[str, Optional[str]]: del zones, cluster_name # unused diff --git a/sky/clouds/fluidstack.py b/sky/clouds/fluidstack.py index 31e2112f8f7..2668ea3e5e0 100644 --- a/sky/clouds/fluidstack.py +++ b/sky/clouds/fluidstack.py @@ -176,6 +176,7 @@ def make_deploy_resources_variables( cluster_name: resources_utils.ClusterName, region: clouds.Region, zones: Optional[List[clouds.Zone]], + num_nodes: int, dryrun: bool = False, ) -> Dict[str, Optional[str]]: diff --git a/sky/clouds/gcp.py b/sky/clouds/gcp.py index 0e20fdc9789..8a28a35505e 100644 --- a/sky/clouds/gcp.py +++ b/sky/clouds/gcp.py @@ -417,6 +417,7 @@ def make_deploy_resources_variables( cluster_name: resources_utils.ClusterName, region: 'clouds.Region', zones: Optional[List['clouds.Zone']], + num_nodes: int, dryrun: bool = False) -> Dict[str, Optional[str]]: assert zones is not None, (region, zones) diff --git a/sky/clouds/ibm.py b/sky/clouds/ibm.py index 0ac3c36cc48..13f6a27e78a 100644 --- a/sky/clouds/ibm.py +++ b/sky/clouds/ibm.py @@ -170,6 +170,7 @@ def make_deploy_resources_variables( cluster_name: resources_utils.ClusterName, region: 'clouds.Region', zones: Optional[List['clouds.Zone']], + num_nodes: int, dryrun: bool = False, ) -> Dict[str, Optional[str]]: """Converts planned sky.Resources to cloud-specific resource variables. diff --git a/sky/clouds/kubernetes.py b/sky/clouds/kubernetes.py index 1fe20101407..359362e7fa1 100644 --- a/sky/clouds/kubernetes.py +++ b/sky/clouds/kubernetes.py @@ -10,8 +10,10 @@ from sky import skypilot_config from sky.adaptors import kubernetes from sky.clouds import service_catalog +from sky.provision import instance_setup from sky.provision.kubernetes import network_utils from sky.provision.kubernetes import utils as kubernetes_utils +from sky.skylet import constants from sky.utils import common_utils from sky.utils import resources_utils from sky.utils import schemas @@ -311,12 +313,34 @@ def get_image_size(cls, image_id: str, region: Optional[str]) -> int: # we don't have a notion of disk size in Kubernetes. return 0 + @staticmethod + def _calculate_provision_timeout(num_nodes: int) -> int: + """Calculate provision timeout based on number of nodes. + + The timeout scales linearly with the number of nodes to account for + scheduling overhead, but is capped to avoid excessive waiting. + + Args: + num_nodes: Number of nodes being provisioned + + Returns: + Timeout in seconds + """ + base_timeout = 10 # Base timeout for single node + per_node_timeout = 0.2 # Additional seconds per node + max_timeout = 60 # Cap at 1 minute + + return int( + min(base_timeout + (per_node_timeout * (num_nodes - 1)), + max_timeout)) + def make_deploy_resources_variables( self, resources: 'resources_lib.Resources', cluster_name: resources_utils.ClusterName, region: Optional['clouds.Region'], zones: Optional[List['clouds.Zone']], + num_nodes: int, dryrun: bool = False) -> Dict[str, Optional[str]]: del cluster_name, zones, dryrun # Unused. if region is None: @@ -413,12 +437,24 @@ def make_deploy_resources_variables( # Larger timeout may be required for autoscaling clusters, since # autoscaler may take some time to provision new nodes. # Note that this timeout includes time taken by the Kubernetes scheduler - # itself, which can be upto 2-3 seconds. - # For non-autoscaling clusters, we conservatively set this to 10s. + # itself, which can be upto 2-3 seconds, and up to 10-15 seconds when + # scheduling 100s of pods. + # We use a linear scaling formula to determine the timeout based on the + # number of nodes. + + timeout = self._calculate_provision_timeout(num_nodes) timeout = skypilot_config.get_nested( ('kubernetes', 'provision_timeout'), - 10, + timeout, override_configs=resources.cluster_config_overrides) + # We specify object-store-memory to be 500MB to avoid taking up too + # much memory on the head node. 'num-cpus' should be set to limit + # the CPU usage on the head pod, otherwise the ray cluster will use the + # CPU resources on the node instead within the pod. + custom_ray_options = { + 'object-store-memory': 500000000, + 'num-cpus': str(int(cpus)), + } deploy_vars = { 'instance_type': resources.instance_type, 'custom_resources': custom_resources, @@ -445,6 +481,12 @@ def make_deploy_resources_variables( 'k8s_topology_label_value': k8s_topology_label_value, 'k8s_resource_key': k8s_resource_key, 'image_id': image_id, + 'ray_installation_commands': constants.RAY_INSTALLATION_COMMANDS, + 'ray_head_start_command': instance_setup.ray_head_start_command( + custom_resources, custom_ray_options), + 'skypilot_ray_port': constants.SKY_REMOTE_RAY_PORT, + 'ray_worker_start_command': instance_setup.ray_worker_start_command( + custom_resources, custom_ray_options, no_restart=False), } # Add kubecontext if it is set. It may be None if SkyPilot is running diff --git a/sky/clouds/lambda_cloud.py b/sky/clouds/lambda_cloud.py index 055a5338750..11ec96a78c1 100644 --- a/sky/clouds/lambda_cloud.py +++ b/sky/clouds/lambda_cloud.py @@ -157,6 +157,7 @@ def make_deploy_resources_variables( cluster_name: resources_utils.ClusterName, region: 'clouds.Region', zones: Optional[List['clouds.Zone']], + num_nodes: int, dryrun: bool = False) -> Dict[str, Optional[str]]: del cluster_name, dryrun # Unused. assert zones is None, 'Lambda does not support zones.' diff --git a/sky/clouds/oci.py b/sky/clouds/oci.py index 37806ff8349..95f4efe95e3 100644 --- a/sky/clouds/oci.py +++ b/sky/clouds/oci.py @@ -208,6 +208,7 @@ def make_deploy_resources_variables( cluster_name: resources_utils.ClusterName, region: Optional['clouds.Region'], zones: Optional[List['clouds.Zone']], + num_nodes: int, dryrun: bool = False) -> Dict[str, Optional[str]]: del cluster_name, dryrun # Unused. assert region is not None, resources diff --git a/sky/clouds/paperspace.py b/sky/clouds/paperspace.py index 4047a2f5926..69a0d69ca61 100644 --- a/sky/clouds/paperspace.py +++ b/sky/clouds/paperspace.py @@ -175,6 +175,7 @@ def make_deploy_resources_variables( cluster_name: resources_utils.ClusterName, region: 'clouds.Region', zones: Optional[List['clouds.Zone']], + num_nodes: int, dryrun: bool = False) -> Dict[str, Optional[str]]: del zones, dryrun, cluster_name diff --git a/sky/clouds/runpod.py b/sky/clouds/runpod.py index 0d693fd9f60..487793ecf97 100644 --- a/sky/clouds/runpod.py +++ b/sky/clouds/runpod.py @@ -160,6 +160,7 @@ def make_deploy_resources_variables( cluster_name: resources_utils.ClusterName, region: 'clouds.Region', zones: Optional[List['clouds.Zone']], + num_nodes: int, dryrun: bool = False) -> Dict[str, Optional[str]]: del zones, dryrun, cluster_name # unused diff --git a/sky/clouds/scp.py b/sky/clouds/scp.py index d0ad611bf0c..4a6b8564a97 100644 --- a/sky/clouds/scp.py +++ b/sky/clouds/scp.py @@ -181,6 +181,7 @@ def make_deploy_resources_variables( cluster_name: resources_utils.ClusterName, region: 'clouds.Region', zones: Optional[List['clouds.Zone']], + num_nodes: int, dryrun: bool = False) -> Dict[str, Optional[str]]: del cluster_name, dryrun # Unused. assert zones is None, 'SCP does not support zones.' diff --git a/sky/clouds/vsphere.py b/sky/clouds/vsphere.py index 88d5df3232a..92e62a8a240 100644 --- a/sky/clouds/vsphere.py +++ b/sky/clouds/vsphere.py @@ -173,6 +173,7 @@ def make_deploy_resources_variables( cluster_name: resources_utils.ClusterName, region: 'clouds.Region', zones: Optional[List['clouds.Zone']], + num_nodes: int, dryrun: bool = False, ) -> Dict[str, Optional[str]]: # TODO get image id here. diff --git a/sky/provision/instance_setup.py b/sky/provision/instance_setup.py index df1a96427c1..86d1c59f36c 100644 --- a/sky/provision/instance_setup.py +++ b/sky/provision/instance_setup.py @@ -4,7 +4,6 @@ import hashlib import json import os -import resource import time from typing import Any, Callable, Dict, List, Optional, Tuple @@ -20,6 +19,7 @@ from sky.utils import command_runner from sky.utils import common_utils from sky.utils import subprocess_utils +from sky.utils import timeline from sky.utils import ux_utils logger = sky_logging.init_logger(__name__) @@ -115,7 +115,8 @@ def _parallel_ssh_with_cache(func, if max_workers is None: # Not using the default value of `max_workers` in ThreadPoolExecutor, # as 32 is too large for some machines. - max_workers = subprocess_utils.get_parallel_threads() + max_workers = subprocess_utils.get_parallel_threads( + cluster_info.provider_name) with futures.ThreadPoolExecutor(max_workers=max_workers) as pool: results = [] runners = provision.get_command_runners(cluster_info.provider_name, @@ -170,6 +171,7 @@ def _initialize_docker(runner: command_runner.CommandRunner, log_path: str): @common.log_function_start_end +@timeline.event def setup_runtime_on_cluster(cluster_name: str, setup_commands: List[str], cluster_info: common.ClusterInfo, ssh_credentials: Dict[str, Any]) -> None: @@ -245,20 +247,9 @@ def _ray_gpu_options(custom_resource: str) -> str: return f' --num-gpus={acc_count}' -@common.log_function_start_end -@_auto_retry() -def start_ray_on_head_node(cluster_name: str, custom_resource: Optional[str], - cluster_info: common.ClusterInfo, - ssh_credentials: Dict[str, Any]) -> None: - """Start Ray on the head node.""" - runners = provision.get_command_runners(cluster_info.provider_name, - cluster_info, **ssh_credentials) - head_runner = runners[0] - assert cluster_info.head_instance_id is not None, (cluster_name, - cluster_info) - - # Log the head node's output to the provision.log - log_path_abs = str(provision_logging.get_log_path()) +def ray_head_start_command(custom_resource: Optional[str], + custom_ray_options: Optional[Dict[str, Any]]) -> str: + """Returns the command to start Ray on the head node.""" ray_options = ( # --disable-usage-stats in `ray start` saves 10 seconds of idle wait. f'--disable-usage-stats ' @@ -270,11 +261,10 @@ def start_ray_on_head_node(cluster_name: str, custom_resource: Optional[str], if custom_resource: ray_options += f' --resources=\'{custom_resource}\'' ray_options += _ray_gpu_options(custom_resource) - - if cluster_info.custom_ray_options: - if 'use_external_ip' in cluster_info.custom_ray_options: - cluster_info.custom_ray_options.pop('use_external_ip') - for key, value in cluster_info.custom_ray_options.items(): + if custom_ray_options: + if 'use_external_ip' in custom_ray_options: + custom_ray_options.pop('use_external_ip') + for key, value in custom_ray_options.items(): ray_options += f' --{key}={value}' cmd = ( @@ -297,6 +287,62 @@ def start_ray_on_head_node(cluster_name: str, custom_resource: Optional[str], 'RAY_worker_maximum_startup_concurrency=$(( 3 * $(nproc --all) )) ' f'{constants.SKY_RAY_CMD} start --head {ray_options} || exit 1;' + _RAY_PRLIMIT + _DUMP_RAY_PORTS + RAY_HEAD_WAIT_INITIALIZED_COMMAND) + return cmd + + +def ray_worker_start_command(custom_resource: Optional[str], + custom_ray_options: Optional[Dict[str, Any]], + no_restart: bool) -> str: + """Returns the command to start Ray on the worker node.""" + # We need to use the ray port in the env variable, because the head node + # determines the port to be used for the worker node. + ray_options = ('--address=${SKYPILOT_RAY_HEAD_IP}:${SKYPILOT_RAY_PORT} ' + '--object-manager-port=8076') + + if custom_resource: + ray_options += f' --resources=\'{custom_resource}\'' + ray_options += _ray_gpu_options(custom_resource) + + if custom_ray_options: + for key, value in custom_ray_options.items(): + ray_options += f' --{key}={value}' + + cmd = ( + 'RAY_SCHEDULER_EVENTS=0 RAY_DEDUP_LOGS=0 ' + f'{constants.SKY_RAY_CMD} start --disable-usage-stats {ray_options} || ' + 'exit 1;' + _RAY_PRLIMIT) + if no_restart: + # We do not use ray status to check whether ray is running, because + # on worker node, if the user started their own ray cluster, ray status + # will return 0, i.e., we don't know skypilot's ray cluster is running. + # Instead, we check whether the raylet process is running on gcs address + # that is connected to the head with the correct port. + cmd = ( + f'ps aux | grep "ray/raylet/raylet" | ' + 'grep "gcs-address=${SKYPILOT_RAY_HEAD_IP}:${SKYPILOT_RAY_PORT}" ' + f'|| {{ {cmd} }}') + else: + cmd = f'{constants.SKY_RAY_CMD} stop; ' + cmd + return cmd + + +@common.log_function_start_end +@_auto_retry() +@timeline.event +def start_ray_on_head_node(cluster_name: str, custom_resource: Optional[str], + cluster_info: common.ClusterInfo, + ssh_credentials: Dict[str, Any]) -> None: + """Start Ray on the head node.""" + runners = provision.get_command_runners(cluster_info.provider_name, + cluster_info, **ssh_credentials) + head_runner = runners[0] + assert cluster_info.head_instance_id is not None, (cluster_name, + cluster_info) + + # Log the head node's output to the provision.log + log_path_abs = str(provision_logging.get_log_path()) + cmd = ray_head_start_command(custom_resource, + cluster_info.custom_ray_options) logger.info(f'Running command on head node: {cmd}') # TODO(zhwu): add the output to log files. returncode, stdout, stderr = head_runner.run( @@ -316,6 +362,7 @@ def start_ray_on_head_node(cluster_name: str, custom_resource: Optional[str], @common.log_function_start_end @_auto_retry() +@timeline.event def start_ray_on_worker_nodes(cluster_name: str, no_restart: bool, custom_resource: Optional[str], ray_port: int, cluster_info: common.ClusterInfo, @@ -350,42 +397,17 @@ def start_ray_on_worker_nodes(cluster_name: str, no_restart: bool, head_ip = (head_instance.internal_ip if not use_external_ip else head_instance.external_ip) - ray_options = (f'--address={head_ip}:{constants.SKY_REMOTE_RAY_PORT} ' - f'--object-manager-port=8076') - - if custom_resource: - ray_options += f' --resources=\'{custom_resource}\'' - ray_options += _ray_gpu_options(custom_resource) - - if cluster_info.custom_ray_options: - for key, value in cluster_info.custom_ray_options.items(): - ray_options += f' --{key}={value}' + ray_cmd = ray_worker_start_command(custom_resource, + cluster_info.custom_ray_options, + no_restart) - # Unset AWS_ACCESS_KEY_ID AWS_SECRET_ACCESS_KEY, see the comment in - # `start_ray_on_head_node`. - cmd = ( - 'RAY_SCHEDULER_EVENTS=0 RAY_DEDUP_LOGS=0 ' - f'{constants.SKY_RAY_CMD} start --disable-usage-stats {ray_options} || ' - 'exit 1;' + _RAY_PRLIMIT) - if no_restart: - # We do not use ray status to check whether ray is running, because - # on worker node, if the user started their own ray cluster, ray status - # will return 0, i.e., we don't know skypilot's ray cluster is running. - # Instead, we check whether the raylet process is running on gcs address - # that is connected to the head with the correct port. - cmd = (f'RAY_PORT={ray_port}; ps aux | grep "ray/raylet/raylet" | ' - f'grep "gcs-address={head_ip}:${{RAY_PORT}}" || ' - f'{{ {cmd} }}') - else: - cmd = f'{constants.SKY_RAY_CMD} stop; ' + cmd + cmd = (f'export SKYPILOT_RAY_HEAD_IP="{head_ip}"; ' + f'export SKYPILOT_RAY_PORT={ray_port}; ' + ray_cmd) logger.info(f'Running command on worker nodes: {cmd}') def _setup_ray_worker(runner_and_id: Tuple[command_runner.CommandRunner, str]): - # for cmd in config_from_yaml['worker_start_ray_commands']: - # cmd = cmd.replace('$RAY_HEAD_IP', ip_list[0][0]) - # runner.run(cmd) runner, instance_id = runner_and_id log_dir = metadata_utils.get_instance_log_dir(cluster_name, instance_id) log_path_abs = str(log_dir / ('ray_cluster' + '.log')) @@ -398,8 +420,10 @@ def _setup_ray_worker(runner_and_id: Tuple[command_runner.CommandRunner, # by ray will have the correct PATH. source_bashrc=True) + num_threads = subprocess_utils.get_parallel_threads( + cluster_info.provider_name) results = subprocess_utils.run_in_parallel( - _setup_ray_worker, list(zip(worker_runners, cache_ids))) + _setup_ray_worker, list(zip(worker_runners, cache_ids)), num_threads) for returncode, stdout, stderr in results: if returncode: with ux_utils.print_exception_no_traceback(): @@ -412,6 +436,7 @@ def _setup_ray_worker(runner_and_id: Tuple[command_runner.CommandRunner, @common.log_function_start_end @_auto_retry() +@timeline.event def start_skylet_on_head_node(cluster_name: str, cluster_info: common.ClusterInfo, ssh_credentials: Dict[str, Any]) -> None: @@ -473,28 +498,8 @@ def _internal_file_mounts(file_mounts: Dict, ) -def _max_workers_for_file_mounts(common_file_mounts: Dict[str, str]) -> int: - fd_limit, _ = resource.getrlimit(resource.RLIMIT_NOFILE) - - fd_per_rsync = 5 - for src in common_file_mounts.values(): - if os.path.isdir(src): - # Assume that each file/folder under src takes 5 file descriptors - # on average. - fd_per_rsync = max(fd_per_rsync, len(os.listdir(src)) * 5) - - # Reserve some file descriptors for the system and other processes - fd_reserve = 100 - - max_workers = (fd_limit - fd_reserve) // fd_per_rsync - # At least 1 worker, and avoid too many workers overloading the system. - max_workers = min(max(max_workers, 1), - subprocess_utils.get_parallel_threads()) - logger.debug(f'Using {max_workers} workers for file mounts.') - return max_workers - - @common.log_function_start_end +@timeline.event def internal_file_mounts(cluster_name: str, common_file_mounts: Dict[str, str], cluster_info: common.ClusterInfo, ssh_credentials: Dict[str, str]) -> None: @@ -515,4 +520,5 @@ def _setup_node(runner: command_runner.CommandRunner, log_path: str): digest=None, cluster_info=cluster_info, ssh_credentials=ssh_credentials, - max_workers=_max_workers_for_file_mounts(common_file_mounts)) + max_workers=subprocess_utils.get_max_workers_for_file_mounts( + common_file_mounts, cluster_info.provider_name)) diff --git a/sky/provision/kubernetes/instance.py b/sky/provision/kubernetes/instance.py index f5e93204934..2b13e78fdf8 100644 --- a/sky/provision/kubernetes/instance.py +++ b/sky/provision/kubernetes/instance.py @@ -20,12 +20,13 @@ from sky.utils import common_utils from sky.utils import kubernetes_enums from sky.utils import subprocess_utils +from sky.utils import timeline from sky.utils import ux_utils POLL_INTERVAL = 2 _TIMEOUT_FOR_POD_TERMINATION = 60 # 1 minutes _MAX_RETRIES = 3 -NUM_THREADS = subprocess_utils.get_parallel_threads() * 2 +_NUM_THREADS = subprocess_utils.get_parallel_threads('kubernetes') logger = sky_logging.init_logger(__name__) TAG_RAY_CLUSTER_NAME = 'ray-cluster-name' @@ -120,6 +121,9 @@ def _raise_pod_scheduling_errors(namespace, context, new_nodes): are recorded as events. This function retrieves those events and raises descriptive errors for better debugging and user feedback. """ + timeout_err_msg = ('Timed out while waiting for nodes to start. ' + 'Cluster may be out of resources or ' + 'may be too slow to autoscale.') for new_node in new_nodes: pod = kubernetes.core_api(context).read_namespaced_pod( new_node.metadata.name, namespace) @@ -148,9 +152,6 @@ def _raise_pod_scheduling_errors(namespace, context, new_nodes): if event.reason == 'FailedScheduling': event_message = event.message break - timeout_err_msg = ('Timed out while waiting for nodes to start. ' - 'Cluster may be out of resources or ' - 'may be too slow to autoscale.') if event_message is not None: if pod_status == 'Pending': logger.info(event_message) @@ -219,6 +220,7 @@ def _raise_command_running_error(message: str, command: str, pod_name: str, f'code {rc}: {command!r}\nOutput: {stdout}.') +@timeline.event def _wait_for_pods_to_schedule(namespace, context, new_nodes, timeout: int): """Wait for all pods to be scheduled. @@ -229,6 +231,10 @@ def _wait_for_pods_to_schedule(namespace, context, new_nodes, timeout: int): If timeout is set to a negative value, this method will wait indefinitely. """ + # Create a set of pod names we're waiting for + if not new_nodes: + return + expected_pod_names = {node.metadata.name for node in new_nodes} start_time = time.time() def _evaluate_timeout() -> bool: @@ -238,19 +244,34 @@ def _evaluate_timeout() -> bool: return time.time() - start_time < timeout while _evaluate_timeout(): - all_pods_scheduled = True - for node in new_nodes: - # Iterate over each pod to check their status - pod = kubernetes.core_api(context).read_namespaced_pod( - node.metadata.name, namespace) - if pod.status.phase == 'Pending': + # Get all pods in a single API call using the cluster name label + # which all pods in new_nodes should share + cluster_name = new_nodes[0].metadata.labels[TAG_SKYPILOT_CLUSTER_NAME] + pods = kubernetes.core_api(context).list_namespaced_pod( + namespace, + label_selector=f'{TAG_SKYPILOT_CLUSTER_NAME}={cluster_name}').items + + # Get the set of found pod names and check if we have all expected pods + found_pod_names = {pod.metadata.name for pod in pods} + missing_pods = expected_pod_names - found_pod_names + if missing_pods: + logger.info('Retrying waiting for pods: ' + f'Missing pods: {missing_pods}') + time.sleep(0.5) + continue + + # Check if all pods are scheduled + all_scheduled = True + for pod in pods: + if (pod.metadata.name in expected_pod_names and + pod.status.phase == 'Pending'): # If container_statuses is None, then the pod hasn't # been scheduled yet. if pod.status.container_statuses is None: - all_pods_scheduled = False + all_scheduled = False break - if all_pods_scheduled: + if all_scheduled: return time.sleep(1) @@ -266,12 +287,18 @@ def _evaluate_timeout() -> bool: f'Error: {common_utils.format_exception(e)}') from None +@timeline.event def _wait_for_pods_to_run(namespace, context, new_nodes): """Wait for pods and their containers to be ready. Pods may be pulling images or may be in the process of container creation. """ + if not new_nodes: + return + + # Create a set of pod names we're waiting for + expected_pod_names = {node.metadata.name for node in new_nodes} def _check_init_containers(pod): # Check if any of the init containers failed @@ -299,12 +326,25 @@ def _check_init_containers(pod): f'{pod.metadata.name}. Error details: {msg}.') while True: - all_pods_running = True - # Iterate over each pod to check their status - for node in new_nodes: - pod = kubernetes.core_api(context).read_namespaced_pod( - node.metadata.name, namespace) + # Get all pods in a single API call + cluster_name = new_nodes[0].metadata.labels[TAG_SKYPILOT_CLUSTER_NAME] + all_pods = kubernetes.core_api(context).list_namespaced_pod( + namespace, + label_selector=f'{TAG_SKYPILOT_CLUSTER_NAME}={cluster_name}').items + + # Get the set of found pod names and check if we have all expected pods + found_pod_names = {pod.metadata.name for pod in all_pods} + missing_pods = expected_pod_names - found_pod_names + if missing_pods: + logger.info('Retrying running pods check: ' + f'Missing pods: {missing_pods}') + time.sleep(0.5) + continue + all_pods_running = True + for pod in all_pods: + if pod.metadata.name not in expected_pod_names: + continue # Continue if pod and all the containers within the # pod are successfully created and running. if pod.status.phase == 'Running' and all( @@ -367,6 +407,7 @@ def _run_function_with_retries(func: Callable, raise +@timeline.event def pre_init(namespace: str, context: Optional[str], new_nodes: List) -> None: """Pre-initialization step for SkyPilot pods. @@ -514,7 +555,7 @@ def _pre_init_thread(new_node): logger.info(f'{"-"*20}End: Pre-init in pod {pod_name!r} {"-"*20}') # Run pre_init in parallel across all new_nodes - subprocess_utils.run_in_parallel(_pre_init_thread, new_nodes, NUM_THREADS) + subprocess_utils.run_in_parallel(_pre_init_thread, new_nodes, _NUM_THREADS) def _label_pod(namespace: str, context: Optional[str], pod_name: str, @@ -528,6 +569,7 @@ def _label_pod(namespace: str, context: Optional[str], pod_name: str, _request_timeout=kubernetes.API_TIMEOUT) +@timeline.event def _create_namespaced_pod_with_retries(namespace: str, pod_spec: dict, context: Optional[str]) -> Any: """Attempts to create a Kubernetes Pod and handle any errors. @@ -606,6 +648,7 @@ def _create_namespaced_pod_with_retries(namespace: str, pod_spec: dict, raise e +@timeline.event def _create_pods(region: str, cluster_name_on_cloud: str, config: common.ProvisionConfig) -> common.ProvisionRecord: """Create pods based on the config.""" @@ -627,7 +670,7 @@ def _create_pods(region: str, cluster_name_on_cloud: str, terminating_pods = kubernetes_utils.filter_pods(namespace, context, tags, ['Terminating']) start_time = time.time() - while (len(terminating_pods) > 0 and + while (terminating_pods and time.time() - start_time < _TIMEOUT_FOR_POD_TERMINATION): logger.debug(f'run_instances: Found {len(terminating_pods)} ' 'terminating pods. Waiting them to finish: ' @@ -636,7 +679,7 @@ def _create_pods(region: str, cluster_name_on_cloud: str, terminating_pods = kubernetes_utils.filter_pods(namespace, context, tags, ['Terminating']) - if len(terminating_pods) > 0: + if terminating_pods: # If there are still terminating pods, we force delete them. logger.debug(f'run_instances: Found {len(terminating_pods)} ' 'terminating pods still in terminating state after ' @@ -695,24 +738,29 @@ def _create_pods(region: str, cluster_name_on_cloud: str, created_pods = {} logger.debug(f'run_instances: calling create_namespaced_pod ' f'(count={to_start_count}).') - for _ in range(to_start_count): - if head_pod_name is None: - pod_spec['metadata']['labels'].update(constants.HEAD_NODE_TAGS) + + def _create_pod_thread(i: int): + pod_spec_copy = copy.deepcopy(pod_spec) + if head_pod_name is None and i == 0: + # First pod should be head if no head exists + pod_spec_copy['metadata']['labels'].update(constants.HEAD_NODE_TAGS) head_selector = head_service_selector(cluster_name_on_cloud) - pod_spec['metadata']['labels'].update(head_selector) - pod_spec['metadata']['name'] = f'{cluster_name_on_cloud}-head' + pod_spec_copy['metadata']['labels'].update(head_selector) + pod_spec_copy['metadata']['name'] = f'{cluster_name_on_cloud}-head' else: - pod_spec['metadata']['labels'].update(constants.WORKER_NODE_TAGS) - pod_uuid = str(uuid.uuid4())[:4] + # Worker pods + pod_spec_copy['metadata']['labels'].update( + constants.WORKER_NODE_TAGS) + pod_uuid = str(uuid.uuid4())[:6] pod_name = f'{cluster_name_on_cloud}-{pod_uuid}' - pod_spec['metadata']['name'] = f'{pod_name}-worker' + pod_spec_copy['metadata']['name'] = f'{pod_name}-worker' # For multi-node support, we put a soft-constraint to schedule # worker pods on different nodes than the head pod. # This is not set as a hard constraint because if different nodes # are not available, we still want to be able to schedule worker # pods on larger nodes which may be able to fit multiple SkyPilot # "nodes". - pod_spec['spec']['affinity'] = { + pod_spec_copy['spec']['affinity'] = { 'podAntiAffinity': { # Set as a soft constraint 'preferredDuringSchedulingIgnoredDuringExecution': [{ @@ -747,17 +795,22 @@ def _create_pods(region: str, cluster_name_on_cloud: str, 'value': 'present', 'effect': 'NoSchedule' } - pod_spec['spec']['tolerations'] = [tpu_toleration] + pod_spec_copy['spec']['tolerations'] = [tpu_toleration] - pod = _create_namespaced_pod_with_retries(namespace, pod_spec, context) + return _create_namespaced_pod_with_retries(namespace, pod_spec_copy, + context) + + # Create pods in parallel + pods = subprocess_utils.run_in_parallel(_create_pod_thread, + range(to_start_count), _NUM_THREADS) + + # Process created pods + for pod in pods: created_pods[pod.metadata.name] = pod - if head_pod_name is None: + if head_pod_name is None and pod.metadata.labels.get( + constants.TAG_RAY_NODE_KIND) == 'head': head_pod_name = pod.metadata.name - wait_pods_dict = kubernetes_utils.filter_pods(namespace, context, tags, - ['Pending']) - wait_pods = list(wait_pods_dict.values()) - networking_mode = network_utils.get_networking_mode( config.provider_config.get('networking_mode')) if networking_mode == kubernetes_enums.KubernetesNetworkingMode.NODEPORT: @@ -766,52 +819,24 @@ def _create_pods(region: str, cluster_name_on_cloud: str, ssh_jump_pod_name = pod_spec['metadata']['labels']['skypilot-ssh-jump'] jump_pod = kubernetes.core_api(context).read_namespaced_pod( ssh_jump_pod_name, namespace) - wait_pods.append(jump_pod) + pods.append(jump_pod) provision_timeout = provider_config['timeout'] wait_str = ('indefinitely' if provision_timeout < 0 else f'for {provision_timeout}s') logger.debug(f'run_instances: waiting {wait_str} for pods to schedule and ' - f'run: {list(wait_pods_dict.keys())}') + f'run: {[pod.metadata.name for pod in pods]}') # Wait until the pods are scheduled and surface cause for error # if there is one - _wait_for_pods_to_schedule(namespace, context, wait_pods, provision_timeout) + _wait_for_pods_to_schedule(namespace, context, pods, provision_timeout) # Wait until the pods and their containers are up and running, and # fail early if there is an error logger.debug(f'run_instances: waiting for pods to be running (pulling ' - f'images): {list(wait_pods_dict.keys())}') - _wait_for_pods_to_run(namespace, context, wait_pods) + f'images): {[pod.metadata.name for pod in pods]}') + _wait_for_pods_to_run(namespace, context, pods) logger.debug(f'run_instances: all pods are scheduled and running: ' - f'{list(wait_pods_dict.keys())}') - - running_pods = kubernetes_utils.filter_pods(namespace, context, tags, - ['Running']) - initialized_pods = kubernetes_utils.filter_pods(namespace, context, { - TAG_POD_INITIALIZED: 'true', - **tags - }, ['Running']) - uninitialized_pods = { - pod_name: pod - for pod_name, pod in running_pods.items() - if pod_name not in initialized_pods - } - if len(uninitialized_pods) > 0: - logger.debug(f'run_instances: Initializing {len(uninitialized_pods)} ' - f'pods: {list(uninitialized_pods.keys())}') - uninitialized_pods_list = list(uninitialized_pods.values()) - - # Run pre-init steps in the pod. - pre_init(namespace, context, uninitialized_pods_list) - - for pod in uninitialized_pods.values(): - _label_pod(namespace, - context, - pod.metadata.name, - label={ - TAG_POD_INITIALIZED: 'true', - **pod.metadata.labels - }) + f'{[pod.metadata.name for pod in pods]}') assert head_pod_name is not None, 'head_instance_id should not be None' return common.ProvisionRecord( @@ -854,11 +879,6 @@ def _terminate_node(namespace: str, context: Optional[str], pod_name: str) -> None: """Terminate a pod.""" logger.debug('terminate_instances: calling delete_namespaced_pod') - try: - kubernetes_utils.clean_zombie_ssh_jump_pod(namespace, context, pod_name) - except Exception as e: # pylint: disable=broad-except - logger.warning('terminate_instances: Error occurred when analyzing ' - f'SSH Jump pod: {e}') try: kubernetes.core_api(context).delete_namespaced_service( pod_name, namespace, _request_timeout=config_lib.DELETION_TIMEOUT) @@ -895,6 +915,18 @@ def terminate_instances( } pods = kubernetes_utils.filter_pods(namespace, context, tag_filters, None) + # Clean up the SSH jump pod if in use + networking_mode = network_utils.get_networking_mode( + provider_config.get('networking_mode')) + if networking_mode == kubernetes_enums.KubernetesNetworkingMode.NODEPORT: + pod_name = list(pods.keys())[0] + try: + kubernetes_utils.clean_zombie_ssh_jump_pod(namespace, context, + pod_name) + except Exception as e: # pylint: disable=broad-except + logger.warning('terminate_instances: Error occurred when analyzing ' + f'SSH Jump pod: {e}') + def _is_head(pod) -> bool: return pod.metadata.labels[constants.TAG_RAY_NODE_KIND] == 'head' @@ -907,7 +939,7 @@ def _terminate_pod_thread(pod_info): # Run pod termination in parallel subprocess_utils.run_in_parallel(_terminate_pod_thread, pods.items(), - NUM_THREADS) + _NUM_THREADS) def get_cluster_info( diff --git a/sky/provision/kubernetes/utils.py b/sky/provision/kubernetes/utils.py index ee00e449b78..fddcad4629f 100644 --- a/sky/provision/kubernetes/utils.py +++ b/sky/provision/kubernetes/utils.py @@ -28,6 +28,7 @@ from sky.utils import env_options from sky.utils import kubernetes_enums from sky.utils import schemas +from sky.utils import timeline from sky.utils import ux_utils if typing.TYPE_CHECKING: @@ -2053,6 +2054,7 @@ def get_namespace_from_config(provider_config: Dict[str, Any]) -> str: get_kube_config_context_namespace(context)) +@timeline.event def filter_pods(namespace: str, context: Optional[str], tag_filters: Dict[str, str], diff --git a/sky/provision/provisioner.py b/sky/provision/provisioner.py index b3e965769c9..9508259416b 100644 --- a/sky/provision/provisioner.py +++ b/sky/provision/provisioner.py @@ -29,6 +29,7 @@ from sky.utils import resources_utils from sky.utils import rich_utils from sky.utils import subprocess_utils +from sky.utils import timeline from sky.utils import ux_utils # Do not use __name__ as we do not want to propagate logs to sky.provision, @@ -343,6 +344,7 @@ def _wait_ssh_connection_indirect(ip: str, return True, '' +@timeline.event def wait_for_ssh(cluster_info: provision_common.ClusterInfo, ssh_credentials: Dict[str, str]): """Wait until SSH is ready. @@ -432,11 +434,15 @@ def _post_provision_setup( ux_utils.spinner_message( 'Launching - Waiting for SSH access', provision_logging.config.log_path)) as status: - - logger.debug( - f'\nWaiting for SSH to be available for {cluster_name!r} ...') - wait_for_ssh(cluster_info, ssh_credentials) - logger.debug(f'SSH Connection ready for {cluster_name!r}') + # If on Kubernetes, skip SSH check since the pods are guaranteed to be + # ready by the provisioner, and we use kubectl instead of SSH to run the + # commands and rsync on the pods. SSH will still be ready after a while + # for the users to SSH into the pod. + if cloud_name.lower() != 'kubernetes': + logger.debug( + f'\nWaiting for SSH to be available for {cluster_name!r} ...') + wait_for_ssh(cluster_info, ssh_credentials) + logger.debug(f'SSH Connection ready for {cluster_name!r}') vm_str = 'Instance' if cloud_name.lower() != 'kubernetes' else 'Pod' plural = '' if len(cluster_info.instances) == 1 else 's' verb = 'is' if len(cluster_info.instances) == 1 else 'are' @@ -496,25 +502,83 @@ def _post_provision_setup( **ssh_credentials) head_runner = runners[0] - status.update( - runtime_preparation_str.format(step=3, step_name='runtime')) - full_ray_setup = True - ray_port = constants.SKY_REMOTE_RAY_PORT - if not provision_record.is_instance_just_booted( - head_instance.instance_id): + def is_ray_cluster_healthy(ray_status_output: str, + expected_num_nodes: int) -> bool: + """Parse the output of `ray status` to get #active nodes. + + The output of `ray status` looks like: + Node status + --------------------------------------------------------------- + Active: + 1 node_291a8b849439ad6186387c35dc76dc43f9058108f09e8b68108cf9ec + 1 node_0945fbaaa7f0b15a19d2fd3dc48f3a1e2d7c97e4a50ca965f67acbfd + Pending: + (no pending nodes) + Recent failures: + (no failures) + """ + start = ray_status_output.find('Active:') + end = ray_status_output.find('Pending:', start) + if start == -1 or end == -1: + return False + num_active_nodes = 0 + for line in ray_status_output[start:end].split('\n'): + if line.strip() and not line.startswith('Active:'): + num_active_nodes += 1 + return num_active_nodes == expected_num_nodes + + def check_ray_port_and_cluster_healthy() -> Tuple[int, bool, bool]: + head_ray_needs_restart = True + ray_cluster_healthy = False + ray_port = constants.SKY_REMOTE_RAY_PORT + # Check if head node Ray is alive returncode, stdout, _ = head_runner.run( instance_setup.RAY_STATUS_WITH_SKY_RAY_PORT_COMMAND, stream_logs=False, require_outputs=True) if returncode: - logger.debug('Ray cluster on head is not up. Restarting...') + logger.debug('Ray cluster on head is not ready.') else: - logger.debug('Ray cluster on head is up.') + logger.debug('Ray cluster on head is ready.') ray_port = common_utils.decode_payload(stdout)['ray_port'] - full_ray_setup = bool(returncode) + head_ray_needs_restart = bool(returncode) + ray_cluster_healthy = is_ray_cluster_healthy( + stdout, cluster_info.num_instances) + return ray_port, ray_cluster_healthy, head_ray_needs_restart + + status.update( + runtime_preparation_str.format(step=3, step_name='runtime')) + + ray_port = constants.SKY_REMOTE_RAY_PORT + head_ray_needs_restart = True + ray_cluster_healthy = False + if (not provision_record.is_instance_just_booted( + head_instance.instance_id)): + # Check if head node Ray is alive + (ray_port, ray_cluster_healthy, + head_ray_needs_restart) = check_ray_port_and_cluster_healthy() + elif cloud_name.lower() == 'kubernetes': + timeout = 90 # 1.5-min maximum timeout + start = time.time() + while True: + # Wait until Ray cluster is ready + (ray_port, ray_cluster_healthy, + head_ray_needs_restart) = check_ray_port_and_cluster_healthy() + if ray_cluster_healthy: + logger.debug('Ray cluster is ready. Skip head and worker ' + 'node ray cluster setup.') + break + if time.time() - start > timeout: + # In most cases, the ray cluster will be ready after a few + # seconds. Trigger ray start on head or worker nodes to be + # safe, if the ray cluster is not ready after timeout. + break + logger.debug('Ray cluster is not ready yet, waiting for the ' + 'async setup to complete...') + time.sleep(1) - if full_ray_setup: + if head_ray_needs_restart: logger.debug('Starting Ray on the entire cluster.') instance_setup.start_ray_on_head_node( cluster_name.name_on_cloud, @@ -531,10 +595,13 @@ def _post_provision_setup( # if provision_record.is_instance_just_booted(inst.instance_id): # worker_ips.append(inst.public_ip) - if cluster_info.num_instances > 1: + # We don't need to restart ray on worker nodes if the ray cluster is + # already healthy, i.e. the head node has expected number of nodes + # connected to the ray cluster. + if cluster_info.num_instances > 1 and not ray_cluster_healthy: instance_setup.start_ray_on_worker_nodes( cluster_name.name_on_cloud, - no_restart=not full_ray_setup, + no_restart=not head_ray_needs_restart, custom_resource=custom_resource, # Pass the ray_port to worker nodes for backward compatibility # as in some existing clusters the ray_port is not dumped with @@ -553,6 +620,7 @@ def _post_provision_setup( return cluster_info +@timeline.event def post_provision_runtime_setup( cloud_name: str, cluster_name: resources_utils.ClusterName, cluster_yaml: str, provision_record: provision_common.ProvisionRecord, diff --git a/sky/resources.py b/sky/resources.py index deb05a6eade..729b9d62a28 100644 --- a/sky/resources.py +++ b/sky/resources.py @@ -1041,6 +1041,7 @@ def get_spot_str(self) -> str: def make_deploy_variables(self, cluster_name: resources_utils.ClusterName, region: clouds.Region, zones: Optional[List[clouds.Zone]], + num_nodes: int, dryrun: bool) -> Dict[str, Optional[str]]: """Converts planned sky.Resources to resource variables. @@ -1062,7 +1063,7 @@ def make_deploy_variables(self, cluster_name: resources_utils.ClusterName, # Cloud specific variables cloud_specific_variables = self.cloud.make_deploy_resources_variables( - self, cluster_name, region, zones, dryrun) + self, cluster_name, region, zones, num_nodes, dryrun) # Docker run options docker_run_options = skypilot_config.get_nested( diff --git a/sky/skylet/constants.py b/sky/skylet/constants.py index 77be8119758..e4b55033f16 100644 --- a/sky/skylet/constants.py +++ b/sky/skylet/constants.py @@ -39,6 +39,7 @@ 'which python3') # Python executable, e.g., /opt/conda/bin/python3 SKY_PYTHON_CMD = f'$({SKY_GET_PYTHON_PATH_CMD})' +# Prefer SKY_UV_PIP_CMD, which is faster. TODO(cooper): remove all usages. SKY_PIP_CMD = f'{SKY_PYTHON_CMD} -m pip' # Ray executable, e.g., /opt/conda/bin/ray # We need to add SKY_PYTHON_CMD before ray executable because: @@ -50,6 +51,10 @@ SKY_REMOTE_PYTHON_ENV_NAME = 'skypilot-runtime' SKY_REMOTE_PYTHON_ENV = f'~/{SKY_REMOTE_PYTHON_ENV_NAME}' ACTIVATE_SKY_REMOTE_PYTHON_ENV = f'source {SKY_REMOTE_PYTHON_ENV}/bin/activate' +# uv is used for venv and pip, much faster than python implementations. +SKY_UV_INSTALL_DIR = '"$HOME/.local/bin"' +SKY_UV_CMD = f'{SKY_UV_INSTALL_DIR}/uv' +SKY_UV_PIP_CMD = f'VIRTUAL_ENV={SKY_REMOTE_PYTHON_ENV} {SKY_UV_CMD} pip' # Deleting the SKY_REMOTE_PYTHON_ENV_NAME from the PATH to deactivate the # environment. `deactivate` command does not work when conda is used. DEACTIVATE_SKY_REMOTE_PYTHON_ENV = ( @@ -148,31 +153,29 @@ 'echo "Creating conda env with Python 3.10" && ' f'conda create -y -n {SKY_REMOTE_PYTHON_ENV_NAME} python=3.10 && ' f'conda activate {SKY_REMOTE_PYTHON_ENV_NAME};' + # Install uv for venv management and pip installation. + 'which uv >/dev/null 2>&1 || ' + 'curl -LsSf https://astral.sh/uv/install.sh ' + f'| UV_INSTALL_DIR={SKY_UV_INSTALL_DIR} sh;' # Create a separate conda environment for SkyPilot dependencies. f'[ -d {SKY_REMOTE_PYTHON_ENV} ] || ' # Do NOT use --system-site-packages here, because if users upgrade any # packages in the base env, they interfere with skypilot dependencies. # Reference: https://github.com/skypilot-org/skypilot/issues/4097 - f'{SKY_PYTHON_CMD} -m venv {SKY_REMOTE_PYTHON_ENV};' + f'{SKY_UV_CMD} venv {SKY_REMOTE_PYTHON_ENV};' f'echo "$(echo {SKY_REMOTE_PYTHON_ENV})/bin/python" > {SKY_PYTHON_PATH_FILE};' ) _sky_version = str(version.parse(sky.__version__)) RAY_STATUS = f'RAY_ADDRESS=127.0.0.1:{SKY_REMOTE_RAY_PORT} {SKY_RAY_CMD} status' -# Install ray and skypilot on the remote cluster if they are not already -# installed. {var} will be replaced with the actual value in -# backend_utils.write_cluster_config. -RAY_SKYPILOT_INSTALLATION_COMMANDS = ( +RAY_INSTALLATION_COMMANDS = ( 'mkdir -p ~/sky_workdir && mkdir -p ~/.sky/sky_app;' - # Disable the pip version check to avoid the warning message, which makes - # the output hard to read. - 'export PIP_DISABLE_PIP_VERSION_CHECK=1;' # Print the PATH in provision.log to help debug PATH issues. 'echo PATH=$PATH; ' # Install setuptools<=69.5.1 to avoid the issue with the latest setuptools # causing the error: # ImportError: cannot import name 'packaging' from 'pkg_resources'" - f'{SKY_PIP_CMD} install "setuptools<70"; ' + f'{SKY_UV_PIP_CMD} install "setuptools<70"; ' # Backward compatibility for ray upgrade (#3248): do not upgrade ray if the # ray cluster is already running, to avoid the ray cluster being restarted. # @@ -186,10 +189,10 @@ # latest ray port 6380, but those existing cluster launched before #1790 # that has ray cluster on the default port 6379 will be upgraded and # restarted. - f'{SKY_PIP_CMD} list | grep "ray " | ' + f'{SKY_UV_PIP_CMD} list | grep "ray " | ' f'grep {SKY_REMOTE_RAY_VERSION} 2>&1 > /dev/null ' f'|| {RAY_STATUS} || ' - f'{SKY_PIP_CMD} install --exists-action w -U ray[default]=={SKY_REMOTE_RAY_VERSION}; ' # pylint: disable=line-too-long + f'{SKY_UV_PIP_CMD} install -U ray[default]=={SKY_REMOTE_RAY_VERSION}; ' # pylint: disable=line-too-long # In some envs, e.g. pip does not have permission to write under /opt/conda # ray package will be installed under ~/.local/bin. If the user's PATH does # not include ~/.local/bin (the pip install will have the output: `WARNING: @@ -202,24 +205,31 @@ # Writes ray path to file if it does not exist or the file is empty. f'[ -s {SKY_RAY_PATH_FILE} ] || ' f'{{ {ACTIVATE_SKY_REMOTE_PYTHON_ENV} && ' - f'which ray > {SKY_RAY_PATH_FILE} || exit 1; }}; ' - # END ray package check and installation - f'{{ {SKY_PIP_CMD} list | grep "skypilot " && ' + f'which ray > {SKY_RAY_PATH_FILE} || exit 1; }}; ') + +SKYPILOT_WHEEL_INSTALLATION_COMMANDS = ( + f'{{ {SKY_UV_PIP_CMD} list | grep "skypilot " && ' '[ "$(cat ~/.sky/wheels/current_sky_wheel_hash)" == "{sky_wheel_hash}" ]; } || ' # pylint: disable=line-too-long - f'{{ {SKY_PIP_CMD} uninstall skypilot -y; ' - f'{SKY_PIP_CMD} install "$(echo ~/.sky/wheels/{{sky_wheel_hash}}/' + f'{{ {SKY_UV_PIP_CMD} uninstall skypilot; ' + f'{SKY_UV_PIP_CMD} install "$(echo ~/.sky/wheels/{{sky_wheel_hash}}/' f'skypilot-{_sky_version}*.whl)[{{cloud}}, remote]" && ' 'echo "{sky_wheel_hash}" > ~/.sky/wheels/current_sky_wheel_hash || ' - 'exit 1; }; ' - # END SkyPilot package check and installation + 'exit 1; }; ') +# Install ray and skypilot on the remote cluster if they are not already +# installed. {var} will be replaced with the actual value in +# backend_utils.write_cluster_config. +RAY_SKYPILOT_INSTALLATION_COMMANDS = ( + f'{RAY_INSTALLATION_COMMANDS} ' + f'{SKYPILOT_WHEEL_INSTALLATION_COMMANDS} ' # Only patch ray when the ray version is the same as the expected version. # The ray installation above can be skipped due to the existing ray cluster # for backward compatibility. In this case, we should not patch the ray # files. - f'{SKY_PIP_CMD} list | grep "ray " | grep {SKY_REMOTE_RAY_VERSION} 2>&1 > /dev/null ' - f'&& {{ {SKY_PYTHON_CMD} -c "from sky.skylet.ray_patches import patch; patch()" ' - '|| exit 1; };') + f'{SKY_UV_PIP_CMD} list | grep "ray " | ' + f'grep {SKY_REMOTE_RAY_VERSION} 2>&1 > /dev/null && ' + f'{{ {SKY_PYTHON_CMD} -c ' + '"from sky.skylet.ray_patches import patch; patch()" || exit 1; }; ') # The name for the environment variable that stores SkyPilot user hash, which # is mainly used to make sure sky commands runs on a VM launched by SkyPilot diff --git a/sky/templates/kubernetes-ray.yml.j2 b/sky/templates/kubernetes-ray.yml.j2 index b981ee8bf12..14e3c65dbdd 100644 --- a/sky/templates/kubernetes-ray.yml.j2 +++ b/sky/templates/kubernetes-ray.yml.j2 @@ -222,7 +222,9 @@ provider: - protocol: TCP port: 22 targetPort: 22 - # Service that maps to the head node of the Ray cluster. + # Service that maps to the head node of the Ray cluster, so that the + # worker nodes can find the head node using + # {{cluster_name_on_cloud}}-head.{{k8s_namespace}}.svc.cluster.local - apiVersion: v1 kind: Service metadata: @@ -235,18 +237,12 @@ provider: # names. name: {{cluster_name_on_cloud}}-head spec: + # Create a headless service so that the head node can be reached by + # the worker nodes with any port number. + clusterIP: None # This selector must match the head node pod's selector below. selector: component: {{cluster_name_on_cloud}}-head - ports: - - name: client - protocol: TCP - port: 10001 - targetPort: 10001 - - name: dashboard - protocol: TCP - port: 8265 - targetPort: 8265 # Specify the pod type for the ray head node (as configured below). head_node_type: ray_head_default @@ -280,7 +276,6 @@ available_node_types: # serviceAccountName: skypilot-service-account serviceAccountName: {{k8s_service_account_name}} automountServiceAccountToken: {{k8s_automount_sa_token}} - restartPolicy: Never # Add node selector if GPU/TPUs are requested: @@ -322,18 +317,147 @@ available_node_types: - name: ray-node imagePullPolicy: IfNotPresent image: {{image_id}} + env: + - name: SKYPILOT_POD_NODE_TYPE + valueFrom: + fieldRef: + fieldPath: metadata.labels['ray-node-type'] # Do not change this command - it keeps the pod alive until it is # explicitly killed. command: ["/bin/bash", "-c", "--"] args: - | # Helper function to conditionally use sudo + # TODO(zhwu): consolidate the two prefix_cmd and sudo replacements prefix_cmd() { if [ $(id -u) -ne 0 ]; then echo "sudo"; else echo ""; fi; } + [ $(id -u) -eq 0 ] && function sudo() { "$@"; } || true; + + STEPS=("apt-ssh-setup" "runtime-setup" "env-setup") - # Run apt update in background and log to a file + # STEP 1: Run apt update, install missing packages, and set up ssh. ( + ( DEBIAN_FRONTEND=noninteractive $(prefix_cmd) apt-get update > /tmp/apt-update.log 2>&1 || \ echo "Warning: apt-get update failed. Continuing anyway..." >> /tmp/apt-update.log + PACKAGES="rsync curl netcat gcc patch pciutils fuse openssh-server"; + + # Separate packages into two groups: packages that are installed first + # so that curl and rsync are available sooner to unblock the following + # conda installation and rsync. + set -e + INSTALL_FIRST=""; + MISSING_PACKAGES=""; + for pkg in $PACKAGES; do + if [ "$pkg" == "netcat" ]; then + if ! dpkg -l | grep -q "^ii \(netcat\|netcat-openbsd\|netcat-traditional\) "; then + INSTALL_FIRST="$INSTALL_FIRST netcat-openbsd"; + fi + elif ! dpkg -l | grep -q "^ii $pkg "; then + if [ "$pkg" == "curl" ] || [ "$pkg" == "rsync" ]; then + INSTALL_FIRST="$INSTALL_FIRST $pkg"; + else + MISSING_PACKAGES="$MISSING_PACKAGES $pkg"; + fi + fi + done; + if [ ! -z "$INSTALL_FIRST" ]; then + echo "Installing core packages: $INSTALL_FIRST"; + DEBIAN_FRONTEND=noninteractive $(prefix_cmd) apt-get install -y $INSTALL_FIRST; + fi; + # SSH and other packages are not necessary, so we disable set -e + set +e + + if [ ! -z "$MISSING_PACKAGES" ]; then + echo "Installing missing packages: $MISSING_PACKAGES"; + DEBIAN_FRONTEND=noninteractive $(prefix_cmd) apt-get install -y $MISSING_PACKAGES; + fi; + $(prefix_cmd) mkdir -p /var/run/sshd; + $(prefix_cmd) sed -i "s/PermitRootLogin prohibit-password/PermitRootLogin yes/" /etc/ssh/sshd_config; + $(prefix_cmd) sed "s@session\s*required\s*pam_loginuid.so@session optional pam_loginuid.so@g" -i /etc/pam.d/sshd; + cd /etc/ssh/ && $(prefix_cmd) ssh-keygen -A; + $(prefix_cmd) mkdir -p ~/.ssh; + $(prefix_cmd) chown -R $(whoami) ~/.ssh; + $(prefix_cmd) chmod 700 ~/.ssh; + $(prefix_cmd) cat /etc/secret-volume/ssh-publickey* > ~/.ssh/authorized_keys; + $(prefix_cmd) chmod 644 ~/.ssh/authorized_keys; + $(prefix_cmd) service ssh restart; + $(prefix_cmd) sed -i "s/mesg n/tty -s \&\& mesg n/" ~/.profile; + ) > /tmp/${STEPS[0]}.log 2>&1 || { + echo "Error: ${STEPS[0]} failed. Continuing anyway..." > /tmp/${STEPS[0]}.failed + cat /tmp/${STEPS[0]}.log + exit 1 + } + ) & + + # STEP 2: Install conda, ray and skypilot (for dependencies); start + # ray cluster. + ( + ( + set -e + mkdir -p ~/.sky + # Wait for `curl` package to be installed before installing conda + # and ray. + until dpkg -l | grep -q "^ii curl "; do + sleep 0.1 + echo "Waiting for curl package to be installed..." + done + {{ conda_installation_commands }} + {{ ray_installation_commands }} + VIRTUAL_ENV=~/skypilot-runtime ~/.local/bin/uv pip install skypilot[kubernetes,remote] + touch /tmp/ray_skypilot_installation_complete + echo "=== Ray and skypilot installation completed ===" + + # Disable set -e, as we have some commands that are ok to fail + # after the ray start. + # TODO(zhwu): this is a hack, we should fix the commands that are + # ok to fail. + if [ "$SKYPILOT_POD_NODE_TYPE" == "head" ]; then + set +e + {{ ray_head_start_command }} + else + # Start ray worker on the worker pod. + # Wait until the head pod is available with an IP address + export SKYPILOT_RAY_HEAD_IP="{{cluster_name_on_cloud}}-head.{{k8s_namespace}}.svc.cluster.local" + export SKYPILOT_RAY_PORT={{skypilot_ray_port}} + # Wait until the ray cluster is started on the head pod + until dpkg -l | grep -q "^ii \(netcat\|netcat-openbsd\|netcat-traditional\) "; do + sleep 0.1 + echo "Waiting for netcat package to be installed..." + done + until nc -z -w 1 ${SKYPILOT_RAY_HEAD_IP} ${SKYPILOT_RAY_PORT}; do + sleep 0.1 + done + + set +e + {{ ray_worker_start_command }} + fi + ) > /tmp/${STEPS[1]}.log 2>&1 || { + echo "Error: ${STEPS[1]} failed. Continuing anyway..." > /tmp/${STEPS[1]}.failed + cat /tmp/${STEPS[1]}.log + exit 1 + } + ) & + + + # STEP 3: Set up environment variables; this should be relatively fast. + ( + ( + set -e + if [ $(id -u) -eq 0 ]; then + echo 'alias sudo=""' >> ~/.bashrc; echo succeed; + else + if command -v sudo >/dev/null 2>&1; then + timeout 2 sudo -l >/dev/null 2>&1 && echo succeed || { echo 52; exit 52; }; + else + { echo 52; exit 52; }; + fi; + fi; + printenv | while IFS='=' read -r key value; do echo "export $key=\"$value\""; done > ~/container_env_var.sh && $(prefix_cmd) mv ~/container_env_var.sh /etc/profile.d/container_env_var.sh + ) > /tmp/${STEPS[2]}.log 2>&1 || { + echo "Error: ${STEPS[2]} failed. Continuing anyway..." > /tmp/${STEPS[2]}.failed + cat /tmp/${STEPS[2]}.log + exit 1 + } ) & function mylsof { p=$(for pid in /proc/{0..9}*; do i=$(basename "$pid"); for file in "$pid"/fd/*; do link=$(readlink -e "$file"); if [ "$link" = "$1" ]; then echo "$i"; fi; done; done); echo "$p"; }; @@ -441,42 +565,48 @@ setup_commands: # Line 'sudo grep ..': set the number of threads per process to unlimited to avoid ray job submit stucking issue when the number of running ray jobs increase. # Line 'mkdir -p ..': disable host key check # Line 'python3 -c ..': patch the buggy ray files and enable `-o allow_other` option for `goofys` + # Line 'for step in ..': check if any failure indicator exists for the setup done in pod args and print the error message. This is only a best effort, as the + # commands in pod args are asynchronous and we cannot guarantee the failure indicators are created before the setup commands finish. - | - PACKAGES="gcc patch pciutils rsync fuse curl"; - MISSING_PACKAGES=""; - for pkg in $PACKAGES; do - if ! dpkg -l | grep -q "^ii $pkg "; then - MISSING_PACKAGES="$MISSING_PACKAGES $pkg"; - fi - done; - if [ ! -z "$MISSING_PACKAGES" ]; then - echo "Installing missing packages: $MISSING_PACKAGES"; - sudo DEBIAN_FRONTEND=noninteractive apt-get install -y $MISSING_PACKAGES; - fi; mkdir -p ~/.ssh; touch ~/.ssh/config; {%- for initial_setup_command in initial_setup_commands %} {{ initial_setup_command }} {%- endfor %} - {{ conda_installation_commands }} - {{ ray_skypilot_installation_commands }} + STEPS=("apt-ssh-setup" "runtime-setup" "env-setup") + start_epoch=$(date +%s); + echo "=== Logs for asynchronous ray and skypilot installation ==="; + [ -f /tmp/ray_skypilot_installation_complete ] && cat /tmp/${STEPS[1]}.log || + { tail -f -n +1 /tmp/${STEPS[1]}.log & TAIL_PID=$!; echo "Tail PID: $TAIL_PID"; until [ -f /tmp/ray_skypilot_installation_complete ]; do sleep 0.5; done; kill $TAIL_PID || true; }; + [ -f /tmp/${STEPS[1]}.failed ] && { echo "Error: ${STEPS[1]} failed. Exiting."; exit 1; } || true; + end_epoch=$(date +%s); + echo "=== Ray and skypilot dependencies installation completed in $(($end_epoch - $start_epoch)) secs ==="; + start_epoch=$(date +%s); + {{ skypilot_wheel_installation_commands }} + end_epoch=$(date +%s); + echo "=== Skypilot wheel installation completed in $(($end_epoch - $start_epoch)) secs ==="; + start_epoch=$(date +%s); sudo touch ~/.sudo_as_admin_successful; sudo bash -c 'rm -rf /etc/security/limits.d; echo "* soft nofile 1048576" >> /etc/security/limits.conf; echo "* hard nofile 1048576" >> /etc/security/limits.conf'; - sudo grep -e '^DefaultTasksMax' /etc/systemd/system.conf || (sudo bash -c 'echo "DefaultTasksMax=infinity" >> /etc/systemd/system.conf'); sudo systemctl set-property user-$(id -u $(whoami)).slice TasksMax=infinity; sudo systemctl daemon-reload; + sudo grep -e '^DefaultTasksMax' /etc/systemd/system.conf || (sudo bash -c 'echo "DefaultTasksMax=infinity" >> /etc/systemd/system.conf'); + ulimit -n 1048576; mkdir -p ~/.ssh; (grep -Pzo -q "Host \*\n StrictHostKeyChecking no" ~/.ssh/config) || printf "Host *\n StrictHostKeyChecking no\n" >> ~/.ssh/config; [ -f /etc/fuse.conf ] && sudo sed -i 's/#user_allow_other/user_allow_other/g' /etc/fuse.conf || (sudo sh -c 'echo "user_allow_other" > /etc/fuse.conf'); # This is needed for `-o allow_other` option for `goofys`; - {% if tpu_requested %} - # The /tmp/tpu_logs directory is where TPU-related logs, such as logs from - # the TPU runtime, are written. These capture runtime information about the - # TPU execution, including any warnings, errors, or general activity of - # the TPU driver. By default, the /tmp/tpu_logs directory is created with - # 755 permissions, and the user of the provisioned pod is not necessarily - # a root. Hence, we need to update the write permission so the logs can be - # properly written. - # TODO(Doyoung): Investigate to see why TPU workload fails to run without - # execution permission, such as granting 766 to log file. Check if it's a - # must and see if there's a workaround to grant minimum permission. - - sudo chmod 777 /tmp/tpu_logs; - {% endif %} + end_epoch=$(date +%s); + echo "=== Setup system configs and fuse completed in $(($end_epoch - $start_epoch)) secs ==="; + for step in $STEPS; do [ -f "/tmp/${step}.failed" ] && { echo "Error: /tmp/${step}.failed found:"; cat /tmp/${step}.log; exit 1; } || true; done; + {% if tpu_requested %} + # The /tmp/tpu_logs directory is where TPU-related logs, such as logs from + # the TPU runtime, are written. These capture runtime information about the + # TPU execution, including any warnings, errors, or general activity of + # the TPU driver. By default, the /tmp/tpu_logs directory is created with + # 755 permissions, and the user of the provisioned pod is not necessarily + # a root. Hence, we need to update the write permission so the logs can be + # properly written. + # TODO(Doyoung): Investigate to see why TPU workload fails to run without + # execution permission, such as granting 766 to log file. Check if it's a + # must and see if there's a workaround to grant minimum permission. + sudo chmod 777 /tmp/tpu_logs; + {% endif %} # Format: `REMOTE_PATH : LOCAL_PATH` file_mounts: { diff --git a/sky/utils/subprocess_utils.py b/sky/utils/subprocess_utils.py index 28bd2c2ee07..992c6bbe3ff 100644 --- a/sky/utils/subprocess_utils.py +++ b/sky/utils/subprocess_utils.py @@ -2,9 +2,10 @@ from multiprocessing import pool import os import random +import resource import subprocess import time -from typing import Any, Callable, Iterable, List, Optional, Tuple, Union +from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple, Union import colorama import psutil @@ -18,6 +19,8 @@ logger = sky_logging.init_logger(__name__) +_fd_limit_warning_shown = False + @timeline.event def run(cmd, **kwargs): @@ -43,12 +46,54 @@ def run_no_outputs(cmd, **kwargs): **kwargs) -def get_parallel_threads() -> int: - """Returns the number of idle CPUs.""" +def _get_thread_multiplier(cloud_str: Optional[str] = None) -> int: + # If using Kubernetes, we use 4x the number of cores. + if cloud_str and cloud_str.lower() == 'kubernetes': + return 4 + return 1 + + +def get_max_workers_for_file_mounts(common_file_mounts: Dict[str, str], + cloud_str: Optional[str] = None) -> int: + global _fd_limit_warning_shown + fd_limit, _ = resource.getrlimit(resource.RLIMIT_NOFILE) + + # Raise warning for low fd_limit (only once) + if fd_limit < 1024 and not _fd_limit_warning_shown: + logger.warning( + f'Open file descriptor limit ({fd_limit}) is low. File sync to ' + 'remote clusters may be slow. Consider increasing the limit using ' + '`ulimit -n ` or modifying system limits.') + _fd_limit_warning_shown = True + + fd_per_rsync = 5 + for src in common_file_mounts.values(): + if os.path.isdir(src): + # Assume that each file/folder under src takes 5 file descriptors + # on average. + fd_per_rsync = max(fd_per_rsync, len(os.listdir(src)) * 5) + + # Reserve some file descriptors for the system and other processes + fd_reserve = 100 + + max_workers = (fd_limit - fd_reserve) // fd_per_rsync + # At least 1 worker, and avoid too many workers overloading the system. + num_threads = get_parallel_threads(cloud_str) + max_workers = min(max(max_workers, 1), num_threads) + logger.debug(f'Using {max_workers} workers for file mounts.') + return max_workers + + +def get_parallel_threads(cloud_str: Optional[str] = None) -> int: + """Returns the number of threads to use for parallel execution. + + Args: + cloud_str: The cloud + """ cpu_count = os.cpu_count() if cpu_count is None: cpu_count = 1 - return max(4, cpu_count - 1) + return max(4, cpu_count - 1) * _get_thread_multiplier(cloud_str) def run_in_parallel(func: Callable, diff --git a/tests/unit_tests/test_resources.py b/tests/unit_tests/test_resources.py index 5006fc454aa..65c90544f49 100644 --- a/tests/unit_tests/test_resources.py +++ b/tests/unit_tests/test_resources.py @@ -140,6 +140,7 @@ def test_aws_make_deploy_variables(*mocks) -> None: config = resource.make_deploy_variables(cluster_name, region, zones, + num_nodes=1, dryrun=True) expected_config_base = { @@ -180,6 +181,7 @@ def test_aws_make_deploy_variables(*mocks) -> None: config = resource.make_deploy_variables(cluster_name, region, zones, + num_nodes=1, dryrun=True) assert config == expected_config, ('unexpected resource ' 'variables generated') @@ -195,6 +197,7 @@ def test_aws_make_deploy_variables(*mocks) -> None: config = resource.make_deploy_variables(cluster_name, region, zones, + num_nodes=1, dryrun=True) assert config == expected_config, ('unexpected resource ' 'variables generated') From 204d979fedece9b7b789dcd2610d1ebdbc8d1fc5 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Thu, 21 Nov 2024 18:50:01 -0800 Subject: [PATCH 106/152] [Core] Skip worker ray start for multinode (#4390) * Optimize ray start * add comments * update logging --- sky/provision/provisioner.py | 20 ++++++++++++++------ 1 file changed, 14 insertions(+), 6 deletions(-) diff --git a/sky/provision/provisioner.py b/sky/provision/provisioner.py index 9508259416b..cc2ca73e1dc 100644 --- a/sky/provision/provisioner.py +++ b/sky/provision/provisioner.py @@ -537,14 +537,16 @@ def check_ray_port_and_cluster_healthy() -> Tuple[int, bool, bool]: instance_setup.RAY_STATUS_WITH_SKY_RAY_PORT_COMMAND, stream_logs=False, require_outputs=True) - if returncode: - logger.debug('Ray cluster on head is not ready.') - else: - logger.debug('Ray cluster on head is ready.') + if not returncode: ray_port = common_utils.decode_payload(stdout)['ray_port'] + logger.debug(f'Ray cluster on head is up with port {ray_port}.') + head_ray_needs_restart = bool(returncode) - ray_cluster_healthy = is_ray_cluster_healthy( - stdout, cluster_info.num_instances) + # This is a best effort check to see if the ray cluster has expected + # number of nodes connected. + ray_cluster_healthy = (not head_ray_needs_restart and + is_ray_cluster_healthy( + stdout, cluster_info.num_instances)) return ray_port, ray_cluster_healthy, head_ray_needs_restart status.update( @@ -585,6 +587,9 @@ def check_ray_port_and_cluster_healthy() -> Tuple[int, bool, bool]: custom_resource=custom_resource, cluster_info=cluster_info, ssh_credentials=ssh_credentials) + else: + logger.debug('Ray cluster on head is ready. Skip starting ray ' + 'cluster on head node.') # NOTE: We have to check all worker nodes to make sure they are all # healthy, otherwise we can only start Ray on newly started worker @@ -610,6 +615,9 @@ def check_ray_port_and_cluster_healthy() -> Tuple[int, bool, bool]: ray_port=ray_port, cluster_info=cluster_info, ssh_credentials=ssh_credentials) + elif ray_cluster_healthy: + logger.debug('Ray cluster is ready. Skip starting ray cluster on ' + 'worker nodes.') instance_setup.start_skylet_on_head_node(cluster_name.name_on_cloud, cluster_info, ssh_credentials) From 0b20d568ee1af454bfec3e50ff62d239f976e52d Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Fri, 22 Nov 2024 23:05:46 -0800 Subject: [PATCH 107/152] remove `uv` from runtime setup due to azure installation issue (#4401) --- sky/skylet/constants.py | 28 +++++++++++----------------- sky/templates/kubernetes-ray.yml.j2 | 2 +- 2 files changed, 12 insertions(+), 18 deletions(-) diff --git a/sky/skylet/constants.py b/sky/skylet/constants.py index e4b55033f16..97d745b2e26 100644 --- a/sky/skylet/constants.py +++ b/sky/skylet/constants.py @@ -39,7 +39,6 @@ 'which python3') # Python executable, e.g., /opt/conda/bin/python3 SKY_PYTHON_CMD = f'$({SKY_GET_PYTHON_PATH_CMD})' -# Prefer SKY_UV_PIP_CMD, which is faster. TODO(cooper): remove all usages. SKY_PIP_CMD = f'{SKY_PYTHON_CMD} -m pip' # Ray executable, e.g., /opt/conda/bin/ray # We need to add SKY_PYTHON_CMD before ray executable because: @@ -51,10 +50,6 @@ SKY_REMOTE_PYTHON_ENV_NAME = 'skypilot-runtime' SKY_REMOTE_PYTHON_ENV = f'~/{SKY_REMOTE_PYTHON_ENV_NAME}' ACTIVATE_SKY_REMOTE_PYTHON_ENV = f'source {SKY_REMOTE_PYTHON_ENV}/bin/activate' -# uv is used for venv and pip, much faster than python implementations. -SKY_UV_INSTALL_DIR = '"$HOME/.local/bin"' -SKY_UV_CMD = f'{SKY_UV_INSTALL_DIR}/uv' -SKY_UV_PIP_CMD = f'VIRTUAL_ENV={SKY_REMOTE_PYTHON_ENV} {SKY_UV_CMD} pip' # Deleting the SKY_REMOTE_PYTHON_ENV_NAME from the PATH to deactivate the # environment. `deactivate` command does not work when conda is used. DEACTIVATE_SKY_REMOTE_PYTHON_ENV = ( @@ -153,16 +148,12 @@ 'echo "Creating conda env with Python 3.10" && ' f'conda create -y -n {SKY_REMOTE_PYTHON_ENV_NAME} python=3.10 && ' f'conda activate {SKY_REMOTE_PYTHON_ENV_NAME};' - # Install uv for venv management and pip installation. - 'which uv >/dev/null 2>&1 || ' - 'curl -LsSf https://astral.sh/uv/install.sh ' - f'| UV_INSTALL_DIR={SKY_UV_INSTALL_DIR} sh;' # Create a separate conda environment for SkyPilot dependencies. f'[ -d {SKY_REMOTE_PYTHON_ENV} ] || ' # Do NOT use --system-site-packages here, because if users upgrade any # packages in the base env, they interfere with skypilot dependencies. # Reference: https://github.com/skypilot-org/skypilot/issues/4097 - f'{SKY_UV_CMD} venv {SKY_REMOTE_PYTHON_ENV};' + f'{SKY_PYTHON_CMD} -m venv {SKY_REMOTE_PYTHON_ENV};' f'echo "$(echo {SKY_REMOTE_PYTHON_ENV})/bin/python" > {SKY_PYTHON_PATH_FILE};' ) @@ -170,12 +161,15 @@ RAY_STATUS = f'RAY_ADDRESS=127.0.0.1:{SKY_REMOTE_RAY_PORT} {SKY_RAY_CMD} status' RAY_INSTALLATION_COMMANDS = ( 'mkdir -p ~/sky_workdir && mkdir -p ~/.sky/sky_app;' + # Disable the pip version check to avoid the warning message, which makes + # the output hard to read. + 'export PIP_DISABLE_PIP_VERSION_CHECK=1;' # Print the PATH in provision.log to help debug PATH issues. 'echo PATH=$PATH; ' # Install setuptools<=69.5.1 to avoid the issue with the latest setuptools # causing the error: # ImportError: cannot import name 'packaging' from 'pkg_resources'" - f'{SKY_UV_PIP_CMD} install "setuptools<70"; ' + f'{SKY_PIP_CMD} install "setuptools<70"; ' # Backward compatibility for ray upgrade (#3248): do not upgrade ray if the # ray cluster is already running, to avoid the ray cluster being restarted. # @@ -189,10 +183,10 @@ # latest ray port 6380, but those existing cluster launched before #1790 # that has ray cluster on the default port 6379 will be upgraded and # restarted. - f'{SKY_UV_PIP_CMD} list | grep "ray " | ' + f'{SKY_PIP_CMD} list | grep "ray " | ' f'grep {SKY_REMOTE_RAY_VERSION} 2>&1 > /dev/null ' f'|| {RAY_STATUS} || ' - f'{SKY_UV_PIP_CMD} install -U ray[default]=={SKY_REMOTE_RAY_VERSION}; ' # pylint: disable=line-too-long + f'{SKY_PIP_CMD} install --exists-action w -U ray[default]=={SKY_REMOTE_RAY_VERSION}; ' # pylint: disable=line-too-long # In some envs, e.g. pip does not have permission to write under /opt/conda # ray package will be installed under ~/.local/bin. If the user's PATH does # not include ~/.local/bin (the pip install will have the output: `WARNING: @@ -208,10 +202,10 @@ f'which ray > {SKY_RAY_PATH_FILE} || exit 1; }}; ') SKYPILOT_WHEEL_INSTALLATION_COMMANDS = ( - f'{{ {SKY_UV_PIP_CMD} list | grep "skypilot " && ' + f'{{ {SKY_PIP_CMD} list | grep "skypilot " && ' '[ "$(cat ~/.sky/wheels/current_sky_wheel_hash)" == "{sky_wheel_hash}" ]; } || ' # pylint: disable=line-too-long - f'{{ {SKY_UV_PIP_CMD} uninstall skypilot; ' - f'{SKY_UV_PIP_CMD} install "$(echo ~/.sky/wheels/{{sky_wheel_hash}}/' + f'{{ {SKY_PIP_CMD} uninstall skypilot -y; ' + f'{SKY_PIP_CMD} install "$(echo ~/.sky/wheels/{{sky_wheel_hash}}/' f'skypilot-{_sky_version}*.whl)[{{cloud}}, remote]" && ' 'echo "{sky_wheel_hash}" > ~/.sky/wheels/current_sky_wheel_hash || ' 'exit 1; }; ') @@ -226,7 +220,7 @@ # The ray installation above can be skipped due to the existing ray cluster # for backward compatibility. In this case, we should not patch the ray # files. - f'{SKY_UV_PIP_CMD} list | grep "ray " | ' + f'{SKY_PIP_CMD} list | grep "ray " | ' f'grep {SKY_REMOTE_RAY_VERSION} 2>&1 > /dev/null && ' f'{{ {SKY_PYTHON_CMD} -c ' '"from sky.skylet.ray_patches import patch; patch()" || exit 1; }; ') diff --git a/sky/templates/kubernetes-ray.yml.j2 b/sky/templates/kubernetes-ray.yml.j2 index 14e3c65dbdd..6706bbafa8f 100644 --- a/sky/templates/kubernetes-ray.yml.j2 +++ b/sky/templates/kubernetes-ray.yml.j2 @@ -403,7 +403,7 @@ available_node_types: done {{ conda_installation_commands }} {{ ray_installation_commands }} - VIRTUAL_ENV=~/skypilot-runtime ~/.local/bin/uv pip install skypilot[kubernetes,remote] + ~/skypilot-runtime/bin/python -m pip install skypilot[kubernetes,remote] touch /tmp/ray_skypilot_installation_complete echo "=== Ray and skypilot installation completed ===" From 07f7a1519ccecdcc644174759308359e134ca500 Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Sat, 23 Nov 2024 14:08:35 -0800 Subject: [PATCH 108/152] [k8s] Skip listing all pods to speed up optimizer (#4398) * Reduce API calls * lint --- .../service_catalog/kubernetes_catalog.py | 63 ++++++++++++++----- 1 file changed, 48 insertions(+), 15 deletions(-) diff --git a/sky/clouds/service_catalog/kubernetes_catalog.py b/sky/clouds/service_catalog/kubernetes_catalog.py index 6d11d1715e2..1d0c97c0442 100644 --- a/sky/clouds/service_catalog/kubernetes_catalog.py +++ b/sky/clouds/service_catalog/kubernetes_catalog.py @@ -65,9 +65,14 @@ def list_accelerators( # TODO(romilb): We should consider putting a lru_cache() with TTL to # avoid multiple calls to kubernetes API in a short period of time (e.g., # from the optimizer). - return list_accelerators_realtime(gpus_only, name_filter, region_filter, - quantity_filter, case_sensitive, - all_regions, require_price)[0] + return _list_accelerators(gpus_only, + name_filter, + region_filter, + quantity_filter, + case_sensitive, + all_regions, + require_price, + realtime=False)[0] def list_accelerators_realtime( @@ -78,10 +83,36 @@ def list_accelerators_realtime( case_sensitive: bool = True, all_regions: bool = False, require_price: bool = True +) -> Tuple[Dict[str, List[common.InstanceTypeInfo]], Dict[str, int], Dict[str, + int]]: + return _list_accelerators(gpus_only, + name_filter, + region_filter, + quantity_filter, + case_sensitive, + all_regions, + require_price, + realtime=True) + + +def _list_accelerators( + gpus_only: bool, + name_filter: Optional[str], + region_filter: Optional[str], + quantity_filter: Optional[int], + case_sensitive: bool = True, + all_regions: bool = False, + require_price: bool = True, + realtime: bool = False ) -> Tuple[Dict[str, List[common.InstanceTypeInfo]], Dict[str, int], Dict[str, int]]: """List accelerators in the Kubernetes cluster. + If realtime is True, the function will query the cluster to fetch real-time + GPU usage, which is returned in total_accelerators_available. Note that + this may require an expensive list_pod_for_all_namespaces call, which + requires cluster-wide pod read permissions. + If the user does not have sufficient permissions to list pods in all namespaces, the function will return free GPUs as -1. """ @@ -115,18 +146,20 @@ def list_accelerators_realtime( accelerators_qtys: Set[Tuple[str, int]] = set() keys = lf.get_label_keys() nodes = kubernetes_utils.get_kubernetes_nodes(context) - # Get the pods to get the real-time GPU usage - try: - pods = kubernetes_utils.get_all_pods_in_kubernetes_cluster(context) - except kubernetes.api_exception() as e: - if e.status == 403: - logger.warning('Failed to get pods in the Kubernetes cluster ' - '(forbidden). Please check if your account has ' - 'necessary permissions to list pods. Realtime GPU ' - 'availability information may be incorrect.') - pods = None - else: - raise + pods = None + if realtime: + # Get the pods to get the real-time GPU usage + try: + pods = kubernetes_utils.get_all_pods_in_kubernetes_cluster(context) + except kubernetes.api_exception() as e: + if e.status == 403: + logger.warning( + 'Failed to get pods in the Kubernetes cluster ' + '(forbidden). Please check if your account has ' + 'necessary permissions to list pods. Realtime GPU ' + 'availability information may be incorrect.') + else: + raise # Total number of GPUs in the cluster total_accelerators_capacity: Dict[str, int] = {} # Total number of GPUs currently available in the cluster From 44625e0e62b70e052072851129507a06ff60636d Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Sat, 23 Nov 2024 15:05:22 -0800 Subject: [PATCH 109/152] [k8s] Nimbus backward compatibility (#4400) * Add nimbus backward compatibility * add uv backcompat * add uv backcompat * add uv backcompat * lint * merge * merge --- sky/templates/kubernetes-ray.yml.j2 | 16 +++++++++++++--- 1 file changed, 13 insertions(+), 3 deletions(-) diff --git a/sky/templates/kubernetes-ray.yml.j2 b/sky/templates/kubernetes-ray.yml.j2 index 6706bbafa8f..450cac0d81c 100644 --- a/sky/templates/kubernetes-ray.yml.j2 +++ b/sky/templates/kubernetes-ray.yml.j2 @@ -327,6 +327,13 @@ available_node_types: command: ["/bin/bash", "-c", "--"] args: - | + # For backwards compatibility, we put a marker file in the pod + # to indicate that the pod is running with the changes introduced + # in project nimbus: https://github.com/skypilot-org/skypilot/pull/4393 + # TODO: Remove this marker file and it's usage in setup_commands + # after v0.10.0 release. + touch /tmp/skypilot_is_nimbus + # Helper function to conditionally use sudo # TODO(zhwu): consolidate the two prefix_cmd and sudo replacements prefix_cmd() { if [ $(id -u) -ne 0 ]; then echo "sudo"; else echo ""; fi; } @@ -575,9 +582,12 @@ setup_commands: STEPS=("apt-ssh-setup" "runtime-setup" "env-setup") start_epoch=$(date +%s); echo "=== Logs for asynchronous ray and skypilot installation ==="; - [ -f /tmp/ray_skypilot_installation_complete ] && cat /tmp/${STEPS[1]}.log || - { tail -f -n +1 /tmp/${STEPS[1]}.log & TAIL_PID=$!; echo "Tail PID: $TAIL_PID"; until [ -f /tmp/ray_skypilot_installation_complete ]; do sleep 0.5; done; kill $TAIL_PID || true; }; - [ -f /tmp/${STEPS[1]}.failed ] && { echo "Error: ${STEPS[1]} failed. Exiting."; exit 1; } || true; + if [ -f /tmp/skypilot_is_nimbus ]; then + echo "=== Logs for asynchronous ray and skypilot installation ==="; + [ -f /tmp/ray_skypilot_installation_complete ] && cat /tmp/${STEPS[1]}.log || + { tail -f -n +1 /tmp/${STEPS[1]}.log & TAIL_PID=$!; echo "Tail PID: $TAIL_PID"; until [ -f /tmp/ray_skypilot_installation_complete ]; do sleep 0.5; done; kill $TAIL_PID || true; }; + [ -f /tmp/${STEPS[1]}.failed ] && { echo "Error: ${STEPS[1]} failed. Exiting."; exit 1; } || true; + fi end_epoch=$(date +%s); echo "=== Ray and skypilot dependencies installation completed in $(($end_epoch - $start_epoch)) secs ==="; start_epoch=$(date +%s); From ef2233baabab422bc6c887c0648e4f2a92077ddc Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Sun, 24 Nov 2024 11:11:37 -0800 Subject: [PATCH 110/152] [Storage] Call `sync_file_mounts` when either rsync or storage file_mounts are specified (#4317) do file mounts if storage is specified --- sky/execution.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/sky/execution.py b/sky/execution.py index 90eb44e069f..963e0356753 100644 --- a/sky/execution.py +++ b/sky/execution.py @@ -305,7 +305,8 @@ def _execute( do_workdir = (Stage.SYNC_WORKDIR in stages and not dryrun and task.workdir is not None) do_file_mounts = (Stage.SYNC_FILE_MOUNTS in stages and not dryrun and - task.file_mounts is not None) + (task.file_mounts is not None or + task.storage_mounts is not None)) if do_workdir or do_file_mounts: logger.info(ux_utils.starting_message('Mounting files.')) From 76e20b601c24748cdba875277e27bc687522799e Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Sun, 24 Nov 2024 21:31:27 -0800 Subject: [PATCH 111/152] [k8s] Support in-cluster and kubeconfig auth simultaneously (#4188) * per-context SA + incluster auth fixes * lint * Support both incluster and kubeconfig * wip * Ignore kubeconfig when context is not specified, add su, mounting kubeconfig * lint * comments * fix merge issues * lint --- .../example_policy/skypilot_policy.py | 2 +- sky/adaptors/kubernetes.py | 44 ++++++++++---- sky/authentication.py | 4 +- sky/backends/backend_utils.py | 7 ++- sky/clouds/kubernetes.py | 60 +++++++++++-------- sky/provision/kubernetes/utils.py | 34 ++++++----- .../kubernetes-port-forward-proxy-command.sh | 5 ++ sky/templates/kubernetes-ray.yml.j2 | 4 ++ sky/utils/command_runner.py | 4 ++ sky/utils/kubernetes/generate_kubeconfig.sh | 46 +++++++++++++- sky/utils/kubernetes/rsync_helper.sh | 4 +- sky/utils/schemas.py | 9 ++- tests/unit_tests/test_admin_policy.py | 2 +- 13 files changed, 166 insertions(+), 59 deletions(-) diff --git a/examples/admin_policy/example_policy/example_policy/skypilot_policy.py b/examples/admin_policy/example_policy/example_policy/skypilot_policy.py index 7addcffbe3c..ff95162ac63 100644 --- a/examples/admin_policy/example_policy/example_policy/skypilot_policy.py +++ b/examples/admin_policy/example_policy/example_policy/skypilot_policy.py @@ -139,7 +139,7 @@ def update_current_kubernetes_clusters_from_registry(): def get_allowed_contexts(): """Mock implementation of getting allowed kubernetes contexts.""" from sky.provision.kubernetes import utils - contexts = utils.get_all_kube_config_context_names() + contexts = utils.get_all_kube_context_names() return contexts[:2] diff --git a/sky/adaptors/kubernetes.py b/sky/adaptors/kubernetes.py index ea8fb194efa..001d397ac9e 100644 --- a/sky/adaptors/kubernetes.py +++ b/sky/adaptors/kubernetes.py @@ -19,6 +19,13 @@ # Timeout to use for API calls API_TIMEOUT = 5 +DEFAULT_IN_CLUSTER_REGION = 'in-cluster' +# The name for the environment variable that stores the in-cluster context name +# for Kubernetes clusters. This is used to associate a name with the current +# context when running with in-cluster auth. If not set, the context name is +# set to DEFAULT_IN_CLUSTER_REGION. +IN_CLUSTER_CONTEXT_NAME_ENV_VAR = 'SKYPILOT_IN_CLUSTER_CONTEXT_NAME' + def _decorate_methods(obj: Any, decorator: Callable, decoration_type: str): for attr_name in dir(obj): @@ -57,16 +64,8 @@ def wrapped(*args, **kwargs): def _load_config(context: Optional[str] = None): urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) - try: - # Load in-cluster config if running in a pod - # Kubernetes set environment variables for service discovery do not - # show up in SkyPilot tasks. For now, we work around by using - # DNS name instead of environment variables. - # See issue: https://github.com/skypilot-org/skypilot/issues/2287 - os.environ['KUBERNETES_SERVICE_HOST'] = 'kubernetes.default.svc' - os.environ['KUBERNETES_SERVICE_PORT'] = '443' - kubernetes.config.load_incluster_config() - except kubernetes.config.config_exception.ConfigException: + + def _load_config_from_kubeconfig(context: Optional[str] = None): try: kubernetes.config.load_kube_config(context=context) except kubernetes.config.config_exception.ConfigException as e: @@ -90,6 +89,21 @@ def _load_config(context: Optional[str] = None): with ux_utils.print_exception_no_traceback(): raise ValueError(err_str) from None + if context == in_cluster_context_name() or context is None: + try: + # Load in-cluster config if running in a pod and context is None. + # Kubernetes set environment variables for service discovery do not + # show up in SkyPilot tasks. For now, we work around by using + # DNS name instead of environment variables. + # See issue: https://github.com/skypilot-org/skypilot/issues/2287 + os.environ['KUBERNETES_SERVICE_HOST'] = 'kubernetes.default.svc' + os.environ['KUBERNETES_SERVICE_PORT'] = '443' + kubernetes.config.load_incluster_config() + except kubernetes.config.config_exception.ConfigException: + _load_config_from_kubeconfig() + else: + _load_config_from_kubeconfig(context) + @_api_logging_decorator('urllib3', logging.ERROR) @functools.lru_cache() @@ -154,3 +168,13 @@ def max_retry_error(): def stream(): return kubernetes.stream.stream + + +def in_cluster_context_name() -> Optional[str]: + """Returns the name of the in-cluster context from the environment. + + If the environment variable is not set, returns the default in-cluster + context name. + """ + return (os.environ.get(IN_CLUSTER_CONTEXT_NAME_ENV_VAR) or + DEFAULT_IN_CLUSTER_REGION) diff --git a/sky/authentication.py b/sky/authentication.py index 41a7d02dfb7..2eb65bd9f6f 100644 --- a/sky/authentication.py +++ b/sky/authentication.py @@ -380,8 +380,8 @@ def setup_kubernetes_authentication(config: Dict[str, Any]) -> Dict[str, Any]: secret_field_name = clouds.Kubernetes().ssh_key_secret_field_name context = config['provider'].get( 'context', kubernetes_utils.get_current_kube_config_context_name()) - if context == kubernetes_utils.IN_CLUSTER_REGION: - # If the context is set to IN_CLUSTER_REGION, we are running in a pod + if context == kubernetes.in_cluster_context_name(): + # If the context is an in-cluster context name, we are running in a pod # with in-cluster configuration. We need to set the context to None # to use the mounted service account. context = None diff --git a/sky/backends/backend_utils.py b/sky/backends/backend_utils.py index 5902510b626..a116681da1b 100644 --- a/sky/backends/backend_utils.py +++ b/sky/backends/backend_utils.py @@ -730,7 +730,12 @@ def write_cluster_config( f'{skypilot_config.loaded_config_path!r} for {cloud}, but it ' 'is not supported by this cloud. Remove the config or set: ' '`remote_identity: LOCAL_CREDENTIALS`.') - excluded_clouds.add(cloud) + if isinstance(cloud, clouds.Kubernetes): + if skypilot_config.get_nested( + ('kubernetes', 'allowed_contexts'), None) is None: + excluded_clouds.add(cloud) + else: + excluded_clouds.add(cloud) for cloud_str, cloud_obj in cloud_registry.CLOUD_REGISTRY.items(): remote_identity_config = skypilot_config.get_nested( diff --git a/sky/clouds/kubernetes.py b/sky/clouds/kubernetes.py index 359362e7fa1..ace14bc0c51 100644 --- a/sky/clouds/kubernetes.py +++ b/sky/clouds/kubernetes.py @@ -130,32 +130,30 @@ def _log_skipped_contexts_once(cls, skipped_contexts: Tuple[str, 'Ignoring these contexts.') @classmethod - def _existing_allowed_contexts(cls) -> List[Optional[str]]: + def _existing_allowed_contexts(cls) -> List[str]: """Get existing allowed contexts. If None is returned in the list, it means that we are running in a pod with in-cluster auth. In this case, we specify None context, which will use the service account mounted in the pod. """ - all_contexts = kubernetes_utils.get_all_kube_config_context_names() + all_contexts = kubernetes_utils.get_all_kube_context_names() if len(all_contexts) == 0: return [] - if all_contexts == [None]: - # If only one context is found and it is None, we are running in a - # pod with in-cluster auth. In this case, we allow it to be used - # without checking against allowed_contexts. - # TODO(romilb): We may want check in-cluster auth against - # allowed_contexts in the future by adding a special context name - # for in-cluster auth. - return [None] + all_contexts = set(all_contexts) allowed_contexts = skypilot_config.get_nested( ('kubernetes', 'allowed_contexts'), None) if allowed_contexts is None: + # Try kubeconfig if present current_context = ( kubernetes_utils.get_current_kube_config_context_name()) + if (current_context is None and + kubernetes_utils.is_incluster_config_available()): + # If no kubeconfig contexts found, use in-cluster if available + current_context = kubernetes.in_cluster_context_name() allowed_contexts = [] if current_context is not None: allowed_contexts = [current_context] @@ -180,13 +178,7 @@ def regions_with_offering(cls, instance_type: Optional[str], regions = [] for context in existing_contexts: - if context is None: - # If running in-cluster, we allow the region to be set to the - # singleton region since there is no context name available. - regions.append(clouds.Region( - kubernetes_utils.IN_CLUSTER_REGION)) - else: - regions.append(clouds.Region(context)) + regions.append(clouds.Region(context)) if region is not None: regions = [r for r in regions if r.name == region] @@ -409,12 +401,25 @@ def make_deploy_resources_variables( remote_identity = skypilot_config.get_nested( ('kubernetes', 'remote_identity'), schemas.get_default_remote_identity('kubernetes')) - if (remote_identity == + + if isinstance(remote_identity, dict): + # If remote_identity is a dict, use the service account for the + # current context + k8s_service_account_name = remote_identity.get(context, None) + if k8s_service_account_name is None: + err_msg = (f'Context {context!r} not found in ' + 'remote identities from config.yaml') + raise ValueError(err_msg) + else: + # If remote_identity is not a dict, use + k8s_service_account_name = remote_identity + + if (k8s_service_account_name == schemas.RemoteIdentityOptions.LOCAL_CREDENTIALS.value): # SA name doesn't matter since automounting credentials is disabled k8s_service_account_name = 'default' k8s_automount_sa_token = 'false' - elif (remote_identity == + elif (k8s_service_account_name == schemas.RemoteIdentityOptions.SERVICE_ACCOUNT.value): # Use the default service account k8s_service_account_name = ( @@ -422,7 +427,6 @@ def make_deploy_resources_variables( k8s_automount_sa_token = 'true' else: # User specified a custom service account - k8s_service_account_name = remote_identity k8s_automount_sa_token = 'true' fuse_device_required = bool(resources.requires_fuse) @@ -447,6 +451,12 @@ def make_deploy_resources_variables( ('kubernetes', 'provision_timeout'), timeout, override_configs=resources.cluster_config_overrides) + + # Set environment variables for the pod. Note that SkyPilot env vars + # are set separately when the task is run. These env vars are + # independent of the SkyPilot task to be run. + k8s_env_vars = {kubernetes.IN_CLUSTER_CONTEXT_NAME_ENV_VAR: context} + # We specify object-store-memory to be 500MB to avoid taking up too # much memory on the head node. 'num-cpus' should be set to limit # the CPU usage on the head pod, otherwise the ray cluster will use the @@ -480,6 +490,7 @@ def make_deploy_resources_variables( 'k8s_topology_label_key': k8s_topology_label_key, 'k8s_topology_label_value': k8s_topology_label_value, 'k8s_resource_key': k8s_resource_key, + 'k8s_env_vars': k8s_env_vars, 'image_id': image_id, 'ray_installation_commands': constants.RAY_INSTALLATION_COMMANDS, 'ray_head_start_command': instance_setup.ray_head_start_command( @@ -625,16 +636,13 @@ def validate_region_zone(self, region: Optional[str], zone: Optional[str]): # TODO: Remove this after 0.9.0. return region, zone - if region == kubernetes_utils.IN_CLUSTER_REGION: + if region == kubernetes.in_cluster_context_name(): # If running incluster, we set region to IN_CLUSTER_REGION # since there is no context name available. return region, zone - all_contexts = kubernetes_utils.get_all_kube_config_context_names() - if all_contexts == [None]: - # If [None] context is returned, use the singleton region since we - # are running in a pod with in-cluster auth. - all_contexts = [kubernetes_utils.IN_CLUSTER_REGION] + all_contexts = kubernetes_utils.get_all_kube_context_names() + if region not in all_contexts: raise ValueError( f'Context {region} not found in kubeconfig. Kubernetes only ' diff --git a/sky/provision/kubernetes/utils.py b/sky/provision/kubernetes/utils.py index fddcad4629f..4bd6a7fadb7 100644 --- a/sky/provision/kubernetes/utils.py +++ b/sky/provision/kubernetes/utils.py @@ -37,7 +37,6 @@ # TODO(romilb): Move constants to constants.py DEFAULT_NAMESPACE = 'default' -IN_CLUSTER_REGION = 'in-cluster' DEFAULT_SERVICE_ACCOUNT_NAME = 'skypilot-service-account' @@ -921,6 +920,9 @@ def is_kubeconfig_exec_auth( str: Error message if exec-based authentication is used, None otherwise """ k8s = kubernetes.kubernetes + if context == kubernetes.in_cluster_context_name(): + # If in-cluster config is used, exec-based auth is not used. + return False, None try: k8s.config.load_kube_config() except kubernetes.config_exception(): @@ -1003,30 +1005,34 @@ def is_incluster_config_available() -> bool: return os.path.exists('/var/run/secrets/kubernetes.io/serviceaccount/token') -def get_all_kube_config_context_names() -> List[Optional[str]]: - """Get all kubernetes context names from the kubeconfig file. +def get_all_kube_context_names() -> List[str]: + """Get all kubernetes context names available in the environment. + + Fetches context names from the kubeconfig file and in-cluster auth, if any. - If running in-cluster, returns [None] to indicate in-cluster config. + If running in-cluster and IN_CLUSTER_CONTEXT_NAME_ENV_VAR is not set, + returns the default in-cluster kubernetes context name. We should not cache the result of this function as the admin policy may update the contexts. Returns: List[Optional[str]]: The list of kubernetes context names if - available, an empty list otherwise. If running in-cluster, - returns [None] to indicate in-cluster config. + available, an empty list otherwise. """ k8s = kubernetes.kubernetes + context_names = [] try: all_contexts, _ = k8s.config.list_kube_config_contexts() # all_contexts will always have at least one context. If kubeconfig # does not have any contexts defined, it will raise ConfigException. - return [context['name'] for context in all_contexts] + context_names = [context['name'] for context in all_contexts] except k8s.config.config_exception.ConfigException: - # If running in cluster, return [None] to indicate in-cluster config - if is_incluster_config_available(): - return [None] - return [] + # If no config found, continue + pass + if is_incluster_config_available(): + context_names.append(kubernetes.in_cluster_context_name()) + return context_names @functools.lru_cache() @@ -2185,9 +2191,9 @@ def set_autodown_annotations(handle: 'backends.CloudVmRayResourceHandle', def get_context_from_config(provider_config: Dict[str, Any]) -> Optional[str]: context = provider_config.get('context', get_current_kube_config_context_name()) - if context == IN_CLUSTER_REGION: - # If the context (also used as the region) is set to IN_CLUSTER_REGION - # we need to use in-cluster auth. + if context == kubernetes.in_cluster_context_name(): + # If the context (also used as the region) is in-cluster, we need to + # we need to use in-cluster auth by setting the context to None. context = None return context diff --git a/sky/templates/kubernetes-port-forward-proxy-command.sh b/sky/templates/kubernetes-port-forward-proxy-command.sh index 0407209a77c..f8205c2393c 100644 --- a/sky/templates/kubernetes-port-forward-proxy-command.sh +++ b/sky/templates/kubernetes-port-forward-proxy-command.sh @@ -58,6 +58,11 @@ KUBECTL_ARGS=() if [ -n "$KUBE_CONTEXT" ]; then KUBECTL_ARGS+=("--context=$KUBE_CONTEXT") fi +# If context is not provided, it means we are using incluster auth. In this case, +# we need to set KUBECONFIG to /dev/null to avoid using kubeconfig file. +if [ -z "$KUBE_CONTEXT" ]; then + KUBECTL_ARGS+=("--kubeconfig=/dev/null") +fi if [ -n "$KUBE_NAMESPACE" ]; then KUBECTL_ARGS+=("--namespace=$KUBE_NAMESPACE") fi diff --git a/sky/templates/kubernetes-ray.yml.j2 b/sky/templates/kubernetes-ray.yml.j2 index 450cac0d81c..e572b263924 100644 --- a/sky/templates/kubernetes-ray.yml.j2 +++ b/sky/templates/kubernetes-ray.yml.j2 @@ -322,6 +322,10 @@ available_node_types: valueFrom: fieldRef: fieldPath: metadata.labels['ray-node-type'] + {% for key, value in k8s_env_vars.items() if k8s_env_vars is not none %} + - name: {{ key }} + value: {{ value }} + {% endfor %} # Do not change this command - it keeps the pod alive until it is # explicitly killed. command: ["/bin/bash", "-c", "--"] diff --git a/sky/utils/command_runner.py b/sky/utils/command_runner.py index e705debaf8d..92d1f2749d7 100644 --- a/sky/utils/command_runner.py +++ b/sky/utils/command_runner.py @@ -767,6 +767,10 @@ def run( ] if self.context: kubectl_args += ['--context', self.context] + # If context is none, it means we are using incluster auth. In this + # case, need to set KUBECONFIG to /dev/null to avoid using kubeconfig. + if self.context is None: + kubectl_args += ['--kubeconfig', '/dev/null'] kubectl_args += [self.pod_name] if ssh_mode == SshMode.LOGIN: assert isinstance(cmd, list), 'cmd must be a list for login mode.' diff --git a/sky/utils/kubernetes/generate_kubeconfig.sh b/sky/utils/kubernetes/generate_kubeconfig.sh index 8d363370597..4ed27b62e1e 100755 --- a/sky/utils/kubernetes/generate_kubeconfig.sh +++ b/sky/utils/kubernetes/generate_kubeconfig.sh @@ -12,6 +12,7 @@ # * Specify SKYPILOT_NAMESPACE env var to override the default namespace where the service account is created. # * Specify SKYPILOT_SA_NAME env var to override the default service account name. # * Specify SKIP_SA_CREATION=1 to skip creating the service account and use an existing one +# * Specify SUPER_USER=1 to create a service account with cluster-admin permissions # # Usage: # # Create "sky-sa" service account with minimal permissions in "default" namespace and generate kubeconfig @@ -22,6 +23,9 @@ # # # Use an existing service account "my-sa" in "my-namespace" namespace and generate kubeconfig # $ SKIP_SA_CREATION=1 SKYPILOT_SA_NAME=my-sa SKYPILOT_NAMESPACE=my-namespace ./generate_kubeconfig.sh +# +# # Create "sky-sa" service account with cluster-admin permissions in "default" namespace +# $ SUPER_USER=1 ./generate_kubeconfig.sh set -eu -o pipefail @@ -29,9 +33,11 @@ set -eu -o pipefail # use default. SKYPILOT_SA=${SKYPILOT_SA_NAME:-sky-sa} NAMESPACE=${SKYPILOT_NAMESPACE:-default} +SUPER_USER=${SUPER_USER:-0} echo "Service account: ${SKYPILOT_SA}" echo "Namespace: ${NAMESPACE}" +echo "Super user permissions: ${SUPER_USER}" # Set OS specific values. if [[ "$OSTYPE" == "linux-gnu" ]]; then @@ -47,8 +53,43 @@ fi # If the user has set SKIP_SA_CREATION=1, skip creating the service account. if [ -z ${SKIP_SA_CREATION+x} ]; then - echo "Creating the Kubernetes Service Account with minimal RBAC permissions." - kubectl apply -f - <&2 context_lower=$(echo "$context" | tr '[:upper:]' '[:lower:]') shift if [ -z "$context" ] || [ "$context_lower" = "none" ]; then - kubectl exec -i $pod -n $namespace -- "$@" + # If context is none, it means we are using incluster auth. In this case, + # use need to set KUBECONFIG to /dev/null to avoid using kubeconfig file. + kubectl exec -i $pod -n $namespace --kubeconfig=/dev/null -- "$@" else kubectl exec -i $pod -n $namespace --context=$context -- "$@" fi diff --git a/sky/utils/schemas.py b/sky/utils/schemas.py index 0b057e512bf..851e77a57fc 100644 --- a/sky/utils/schemas.py +++ b/sky/utils/schemas.py @@ -684,7 +684,14 @@ def get_default_remote_identity(cloud: str) -> str: _REMOTE_IDENTITY_SCHEMA_KUBERNETES = { 'remote_identity': { - 'type': 'string' + 'anyOf': [{ + 'type': 'string' + }, { + 'type': 'object', + 'additionalProperties': { + 'type': 'string' + } + }] }, } diff --git a/tests/unit_tests/test_admin_policy.py b/tests/unit_tests/test_admin_policy.py index 48e47a6007c..be40cc55723 100644 --- a/tests/unit_tests/test_admin_policy.py +++ b/tests/unit_tests/test_admin_policy.py @@ -172,7 +172,7 @@ def _gen_cluster_record(status: sky.ClusterStatus, autostop: int) -> dict: idle_minutes_to_autostop=None) -@mock.patch('sky.provision.kubernetes.utils.get_all_kube_config_context_names', +@mock.patch('sky.provision.kubernetes.utils.get_all_kube_context_names', return_value=['kind-skypilot', 'kind-skypilot2', 'kind-skypilot3']) def test_dynamic_kubernetes_contexts_policy(add_example_policy_paths, task): _, config = _load_task_and_apply_policy( From 894330bd5455e8b6739a5c22abdee2529f5fe282 Mon Sep 17 00:00:00 2001 From: Tian Xia Date: Sun, 24 Nov 2024 23:57:48 -0800 Subject: [PATCH 112/152] Fix Spot instance on Azure (#4408) --- sky/provision/azure/instance.py | 3 ++- sky/templates/azure-ray.yml.j2 | 3 --- 2 files changed, 2 insertions(+), 4 deletions(-) diff --git a/sky/provision/azure/instance.py b/sky/provision/azure/instance.py index 60159232787..c54199bd25d 100644 --- a/sky/provision/azure/instance.py +++ b/sky/provision/azure/instance.py @@ -305,7 +305,8 @@ def _create_vm( network_profile=network_profile, identity=compute.VirtualMachineIdentity( type='UserAssigned', - user_assigned_identities={provider_config['msi']: {}})) + user_assigned_identities={provider_config['msi']: {}}), + priority=node_config['azure_arm_parameters']['priority']) vm_poller = compute_client.virtual_machines.begin_create_or_update( resource_group_name=provider_config['resource_group'], vm_name=vm_name, diff --git a/sky/templates/azure-ray.yml.j2 b/sky/templates/azure-ray.yml.j2 index 7b9737748d3..1140704a708 100644 --- a/sky/templates/azure-ray.yml.j2 +++ b/sky/templates/azure-ray.yml.j2 @@ -75,9 +75,6 @@ available_node_types: {%- if use_spot %} # optionally set priority to use Spot instances priority: Spot - # set a maximum price for spot instances if desired - # billingProfile: - # maxPrice: -1 {%- endif %} cloudInitSetupCommands: |- {%- for cmd in cloud_init_setup_commands %} From d57611277f39bde9b6f858f009eae881cd106d05 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Mon, 25 Nov 2024 11:06:56 -0800 Subject: [PATCH 113/152] [UX] Allow disabling ports in CLI (#4378) [UX] Allow disabling ports --- sky/cli.py | 15 +++++++++++---- 1 file changed, 11 insertions(+), 4 deletions(-) diff --git a/sky/cli.py b/sky/cli.py index c49b692add1..94474b30b6c 100644 --- a/sky/cli.py +++ b/sky/cli.py @@ -486,7 +486,7 @@ def _parse_override_params( image_id: Optional[str] = None, disk_size: Optional[int] = None, disk_tier: Optional[str] = None, - ports: Optional[Tuple[str]] = None) -> Dict[str, Any]: + ports: Optional[Tuple[str, ...]] = None) -> Dict[str, Any]: """Parses the override parameters into a dictionary.""" override_params: Dict[str, Any] = {} if cloud is not None: @@ -539,7 +539,14 @@ def _parse_override_params( else: override_params['disk_tier'] = disk_tier if ports: - override_params['ports'] = ports + if any(p.lower() == 'none' for p in ports): + if len(ports) > 1: + with ux_utils.print_exception_no_traceback(): + raise ValueError('Cannot specify both "none" and other ' + 'ports.') + override_params['ports'] = None + else: + override_params['ports'] = ports return override_params @@ -730,7 +737,7 @@ def _make_task_or_dag_from_entrypoint_with_overrides( image_id: Optional[str] = None, disk_size: Optional[int] = None, disk_tier: Optional[str] = None, - ports: Optional[Tuple[str]] = None, + ports: Optional[Tuple[str, ...]] = None, env: Optional[List[Tuple[str, str]]] = None, field_to_ignore: Optional[List[str]] = None, # job launch specific @@ -1084,7 +1091,7 @@ def launch( env: List[Tuple[str, str]], disk_size: Optional[int], disk_tier: Optional[str], - ports: Tuple[str], + ports: Tuple[str, ...], idle_minutes_to_autostop: Optional[int], down: bool, # pylint: disable=redefined-outer-name retry_until_up: bool, From 5aeeedff589a836ab229da91e45e70f551135c04 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Mon, 25 Nov 2024 11:07:54 -0800 Subject: [PATCH 114/152] [AWS] Get rid of credential files if `remote_identity: SERVICE_ACCOUNT` specified (#4395) * syntax * minor --- sky/templates/aws-ray.yml.j2 | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/sky/templates/aws-ray.yml.j2 b/sky/templates/aws-ray.yml.j2 index 95751ab1849..8e9898cb784 100644 --- a/sky/templates/aws-ray.yml.j2 +++ b/sky/templates/aws-ray.yml.j2 @@ -173,6 +173,7 @@ setup_commands: # Line 'sudo grep ..': set the number of threads per process to unlimited to avoid ray job submit stucking issue when the number of running ray jobs increase. # Line 'mkdir -p ..': disable host key check # Line 'python3 -c ..': patch the buggy ray files and enable `-o allow_other` option for `goofys` + # Line 'rm ~/.aws/credentials': explicitly remove the credentials file to be safe. This is to guard against the case where the credential files was uploaded once as `remote_identity` was not set in a previous launch. - mkdir -p ~/.ssh; touch ~/.ssh/config; {%- for initial_setup_command in initial_setup_commands %} {{ initial_setup_command }} @@ -185,7 +186,12 @@ setup_commands: sudo grep -e '^DefaultTasksMax' /etc/systemd/system.conf || (sudo bash -c 'echo "DefaultTasksMax=infinity" >> /etc/systemd/system.conf'); sudo systemctl set-property user-$(id -u $(whoami)).slice TasksMax=infinity; sudo systemctl daemon-reload; {%- endif %} mkdir -p ~/.ssh; (grep -Pzo -q "Host \*\n StrictHostKeyChecking no" ~/.ssh/config) || printf "Host *\n StrictHostKeyChecking no\n" >> ~/.ssh/config; - [ -f /etc/fuse.conf ] && sudo sed -i 's/#user_allow_other/user_allow_other/g' /etc/fuse.conf || (sudo sh -c 'echo "user_allow_other" > /etc/fuse.conf'); # This is needed for `-o allow_other` option for `goofys`; + [ -f /etc/fuse.conf ] && sudo sed -i 's/#user_allow_other/user_allow_other/g' /etc/fuse.conf || (sudo sh -c 'echo "user_allow_other" > /etc/fuse.conf'); + {%- if remote_identity != 'LOCAL_CREDENTIALS' %} + rm ~/.aws/credentials || true; + {%- endif %} + + # Command to start ray clusters are now placed in `sky.provision.instance_setup`. # We do not need to list it here anymore. From 6c9acac5df3d6fc13a6a7e19deb35715163beddd Mon Sep 17 00:00:00 2001 From: Tian Xia Date: Mon, 25 Nov 2024 14:21:51 -0800 Subject: [PATCH 115/152] Fix OD instance on Azure (#4411) --- sky/provision/azure/instance.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sky/provision/azure/instance.py b/sky/provision/azure/instance.py index c54199bd25d..700d31c597f 100644 --- a/sky/provision/azure/instance.py +++ b/sky/provision/azure/instance.py @@ -306,7 +306,7 @@ def _create_vm( identity=compute.VirtualMachineIdentity( type='UserAssigned', user_assigned_identities={provider_config['msi']: {}}), - priority=node_config['azure_arm_parameters']['priority']) + priority=node_config['azure_arm_parameters'].get('priority', None)) vm_poller = compute_client.virtual_machines.begin_create_or_update( resource_group_name=provider_config['resource_group'], vm_name=vm_name, From 13ce397264484a65f34d89dee609484bcf537326 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Mon, 25 Nov 2024 18:06:20 -0800 Subject: [PATCH 116/152] [UX] Remove K80 and M60 from common GPU list (#4382) * Remove K80 and M60 from GPU list * Fix kubernetes instance type with space * comments * format * format * remove mi25 --- sky/clouds/service_catalog/__init__.py | 15 +++++++-------- .../service_catalog/data_fetchers/fetch_azure.py | 2 +- sky/provision/kubernetes/utils.py | 10 ++++++++-- 3 files changed, 16 insertions(+), 11 deletions(-) diff --git a/sky/clouds/service_catalog/__init__.py b/sky/clouds/service_catalog/__init__.py index 4deab8ac204..d28b530ff06 100644 --- a/sky/clouds/service_catalog/__init__.py +++ b/sky/clouds/service_catalog/__init__.py @@ -324,9 +324,8 @@ def get_common_gpus() -> List[str]: 'A100', 'A100-80GB', 'H100', - 'K80', 'L4', - 'M60', + 'L40S', 'P100', 'T4', 'V100', @@ -337,13 +336,13 @@ def get_common_gpus() -> List[str]: def get_tpus() -> List[str]: """Returns a list of TPU names.""" # TODO(wei-lin): refactor below hard-coded list. - # There are many TPU configurations available, we show the three smallest - # and the largest configuration for the latest gen TPUs. + # There are many TPU configurations available, we show the some smallest + # ones for each generation, and people should find larger ones with + # sky show-gpus tpu. return [ - 'tpu-v2-512', 'tpu-v3-2048', 'tpu-v4-8', 'tpu-v4-16', 'tpu-v4-32', - 'tpu-v4-3968', 'tpu-v5litepod-1', 'tpu-v5litepod-4', 'tpu-v5litepod-8', - 'tpu-v5litepod-256', 'tpu-v5p-8', 'tpu-v5p-32', 'tpu-v5p-128', - 'tpu-v5p-12288' + 'tpu-v2-8', 'tpu-v3-8', 'tpu-v4-8', 'tpu-v4-16', 'tpu-v4-32', + 'tpu-v5litepod-1', 'tpu-v5litepod-4', 'tpu-v5litepod-8', 'tpu-v5p-8', + 'tpu-v5p-16', 'tpu-v5p-32', 'tpu-v6e-1', 'tpu-v6e-4', 'tpu-v6e-8' ] diff --git a/sky/clouds/service_catalog/data_fetchers/fetch_azure.py b/sky/clouds/service_catalog/data_fetchers/fetch_azure.py index f646cac339a..4aef41f9c90 100644 --- a/sky/clouds/service_catalog/data_fetchers/fetch_azure.py +++ b/sky/clouds/service_catalog/data_fetchers/fetch_azure.py @@ -64,7 +64,7 @@ 'standardNVSv2Family': 'M60', 'standardNVSv3Family': 'M60', 'standardNVPromoFamily': 'M60', - 'standardNVSv4Family': 'Radeon MI25', + 'standardNVSv4Family': 'MI25', 'standardNDSFamily': 'P40', 'StandardNVADSA10v5Family': 'A10', 'StandardNCadsH100v5Family': 'H100', diff --git a/sky/provision/kubernetes/utils.py b/sky/provision/kubernetes/utils.py index 4bd6a7fadb7..9a1de4e9036 100644 --- a/sky/provision/kubernetes/utils.py +++ b/sky/provision/kubernetes/utils.py @@ -1136,7 +1136,11 @@ def name(self) -> str: name = (f'{common_utils.format_float(self.cpus)}CPU--' f'{common_utils.format_float(self.memory)}GB') if self.accelerator_count: - name += f'--{self.accelerator_count}{self.accelerator_type}' + # Replace spaces with underscores in accelerator type to make it a + # valid logical instance type name. + assert self.accelerator_type is not None, self.accelerator_count + acc_name = self.accelerator_type.replace(' ', '_') + name += f'--{self.accelerator_count}{acc_name}' return name @staticmethod @@ -1167,7 +1171,9 @@ def _parse_instance_type( accelerator_type = match.group('accelerator_type') if accelerator_count: accelerator_count = int(accelerator_count) - accelerator_type = str(accelerator_type) + # This is to revert the accelerator types with spaces back to + # the original format. + accelerator_type = str(accelerator_type).replace('_', ' ') else: accelerator_count = None accelerator_type = None From 74a8075e7deba2712cc9406be734d78c9548b7c7 Mon Sep 17 00:00:00 2001 From: zpoint Date: Tue, 26 Nov 2024 17:40:57 +0800 Subject: [PATCH 117/152] Event based smoke tests -- manged jobs (#4386) * event based smoke test * more event based smoke test * more test cases * more test cases with managed jobs * bug fix * bump up seconds * merge master and resolve conflict * more test case * support test_managed_jobs_pipeline_failed_setup * support test_managed_jobs_recovery_aws * manged job status * bug fix * test managed job cancel * test_managed_jobs_storage * more test cases * resolve pr comment * private member function * bug fix * interface change * bug fix * bug fix * raise error on empty status --- tests/test_smoke.py | 415 ++++++++++++++++++++++++++++++-------------- 1 file changed, 288 insertions(+), 127 deletions(-) diff --git a/tests/test_smoke.py b/tests/test_smoke.py index 6ba81ce68f0..574dae21ea0 100644 --- a/tests/test_smoke.py +++ b/tests/test_smoke.py @@ -59,6 +59,7 @@ from sky.data import data_utils from sky.data import storage as storage_lib from sky.data.data_utils import Rclone +from sky.jobs.state import ManagedJobStatus from sky.skylet import constants from sky.skylet import events from sky.skylet.job_lib import JobStatus @@ -101,8 +102,20 @@ # Cluster functions _ALL_JOB_STATUSES = "|".join([status.value for status in JobStatus]) _ALL_CLUSTER_STATUSES = "|".join([status.value for status in ClusterStatus]) +_ALL_MANAGED_JOB_STATUSES = "|".join( + [status.value for status in ManagedJobStatus]) -_WAIT_UNTIL_CLUSTER_STATUS_IS = ( + +def _statuses_to_str(statuses: List[enum.Enum]): + """Convert a list of enums to a string with all the values separated by |.""" + assert len(statuses) > 0, 'statuses must not be empty' + if len(statuses) > 1: + return '(' + '|'.join([status.value for status in statuses]) + ')' + else: + return statuses[0].value + + +_WAIT_UNTIL_CLUSTER_STATUS_CONTAINS = ( # A while loop to wait until the cluster status # becomes certain status, with timeout. 'start_time=$SECONDS; ' @@ -120,6 +133,29 @@ 'sleep 10; ' 'done') + +def _get_cmd_wait_until_cluster_status_contains( + cluster_name: str, cluster_status: List[ClusterStatus], timeout: int): + return _WAIT_UNTIL_CLUSTER_STATUS_CONTAINS.format( + cluster_name=cluster_name, + cluster_status=_statuses_to_str(cluster_status), + timeout=timeout) + + +def _get_cmd_wait_until_cluster_status_contains_wildcard( + cluster_name_wildcard: str, cluster_status: List[ClusterStatus], + timeout: int): + wait_cmd = _WAIT_UNTIL_CLUSTER_STATUS_CONTAINS.replace( + 'sky status {cluster_name}', + 'sky status "{cluster_name}"').replace('awk "/^{cluster_name}/', + 'awk "/^{cluster_name_awk}/') + return wait_cmd.format(cluster_name=cluster_name_wildcard, + cluster_name_awk=cluster_name_wildcard.replace( + '*', '.*'), + cluster_status=_statuses_to_str(cluster_status), + timeout=timeout) + + _WAIT_UNTIL_CLUSTER_IS_NOT_FOUND = ( # A while loop to wait until the cluster is not found or timeout 'start_time=$SECONDS; ' @@ -130,10 +166,16 @@ 'if sky status -r {cluster_name}; sky status {cluster_name} | grep "{cluster_name} not found"; then ' ' echo "Cluster {cluster_name} successfully removed."; break; ' 'fi; ' - 'echo "Waiting for cluster {name} to be removed..."; ' + 'echo "Waiting for cluster {cluster_name} to be removed..."; ' 'sleep 10; ' 'done') + +def _get_cmd_wait_until_cluster_is_not_found(cluster_name: str, timeout: int): + return _WAIT_UNTIL_CLUSTER_IS_NOT_FOUND.format(cluster_name=cluster_name, + timeout=timeout) + + _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_ID = ( # A while loop to wait until the job status # contains certain status, with timeout. @@ -165,11 +207,51 @@ _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME = _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_ID.replace( 'awk "\\$1 == \\"{job_id}\\"', 'awk "\\$2 == \\"{job_name}\\"') + +def _get_cmd_wait_until_job_status_contains_matching_job_id( + cluster_name: str, job_id: str, job_status: List[JobStatus], + timeout: int): + return _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_ID.format( + cluster_name=cluster_name, + job_id=job_id, + job_status=_statuses_to_str(job_status), + timeout=timeout) + + +def _get_cmd_wait_until_job_status_contains_without_matching_job( + cluster_name: str, job_status: List[JobStatus], timeout: int): + return _WAIT_UNTIL_JOB_STATUS_CONTAINS_WITHOUT_MATCHING_JOB.format( + cluster_name=cluster_name, + job_status=_statuses_to_str(job_status), + timeout=timeout) + + +def _get_cmd_wait_until_job_status_contains_matching_job_name( + cluster_name: str, job_name: str, job_status: List[JobStatus], + timeout: int): + return _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.format( + cluster_name=cluster_name, + job_name=job_name, + job_status=_statuses_to_str(job_status), + timeout=timeout) + + # Managed job functions _WAIT_UNTIL_MANAGED_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME = _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.replace( - 'sky queue {cluster_name}', - 'sky jobs queue').replace('awk "\\$2 == ', 'awk "\\$3 == ') + 'sky queue {cluster_name}', 'sky jobs queue').replace( + 'awk "\\$2 == \\"{job_name}\\"', + 'awk "\\$2 == \\"{job_name}\\" || \\$3 == \\"{job_name}\\"').replace( + _ALL_JOB_STATUSES, _ALL_MANAGED_JOB_STATUSES) + + +def _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name: str, job_status: List[JobStatus], timeout: int): + return _WAIT_UNTIL_MANAGED_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.format( + job_name=job_name, + job_status=_statuses_to_str(job_status), + timeout=timeout) + # After the timeout, the cluster will stop if autostop is set, and our check # should be more than the timeout. To address this, we extend the timeout by @@ -489,11 +571,13 @@ def test_launch_fast_with_autostop(generic_cloud: str): f'sky status -r {name} | grep UP', # Ensure cluster is stopped - _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=ClusterStatus.STOPPED.value, + cluster_status=[ClusterStatus.STOPPED], timeout=autostop_timeout), - + # Even the cluster is stopped, cloud platform may take a while to + # delete the VM. + f'sleep {_BUMP_UP_SECONDS}', # Launch again. Do full output validation - we expect the cluster to re-launch f'unset SKYPILOT_DEBUG; s=$(sky launch -y -c {name} --fast -i 1 tests/test_yamls/minimal.yaml) && {_VALIDATE_LAUNCH_OUTPUT}', f'sky logs {name} 2 --status', @@ -530,6 +614,7 @@ def test_aws_region(): @pytest.mark.aws def test_aws_with_ssh_proxy_command(): name = _get_cluster_name() + with tempfile.NamedTemporaryFile(mode='w') as f: f.write( textwrap.dedent(f"""\ @@ -551,10 +636,18 @@ def test_aws_with_ssh_proxy_command(): f'sky jobs launch -n {name}-0 --cloud aws --cpus 2 --use-spot -y echo hi', # Wait other tests to create the job controller first, so that # the job controller is not launched with proxy command. - 'timeout 300s bash -c "until sky status sky-jobs-controller* | grep UP; do sleep 1; done"', + _get_cmd_wait_until_cluster_status_contains_wildcard( + cluster_name_wildcard='sky-jobs-controller-*', + cluster_status=[ClusterStatus.UP], + timeout=300), f'export SKYPILOT_CONFIG={f.name}; sky jobs launch -n {name} --cpus 2 --cloud aws --region us-east-1 -yd echo hi', - 'sleep 300', - f'{_GET_JOB_QUEUE} | grep {name} | grep "STARTING\|RUNNING\|SUCCEEDED"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ + ManagedJobStatus.SUCCEEDED, ManagedJobStatus.RUNNING, + ManagedJobStatus.STARTING + ], + timeout=300), ], f'sky down -y {name} jump-{name}; sky jobs cancel -y -n {name}', ) @@ -924,9 +1017,9 @@ def test_clone_disk_aws(): f'sky launch -y -c {name} --cloud aws --region us-east-2 --retry-until-up "echo hello > ~/user_file.txt"', f'sky launch --clone-disk-from {name} -y -c {name}-clone && exit 1 || true', f'sky stop {name} -y', - _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=ClusterStatus.STOPPED.value, + cluster_status=[ClusterStatus.STOPPED], timeout=60), # Wait for EC2 instance to be in stopped state. # TODO: event based wait. @@ -976,8 +1069,8 @@ def test_gcp_mig(): # Check MIG exists. f'gcloud compute instance-groups managed list --format="value(name)" | grep "^sky-mig-{name}"', f'sky autostop -i 0 --down -y {name}', - _WAIT_UNTIL_CLUSTER_IS_NOT_FOUND.format(cluster_name=name, - timeout=120), + _get_cmd_wait_until_cluster_is_not_found(cluster_name=name, + timeout=120), f'gcloud compute instance-templates list | grep "sky-it-{name}"', # Launch again with the same region. The original instance template # should be removed. @@ -1044,9 +1137,9 @@ def test_custom_default_conda_env(generic_cloud: str): f'sky exec {name} tests/test_yamls/test_custom_default_conda_env.yaml', f'sky logs {name} 2 --status', f'sky autostop -y -i 0 {name}', - _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=ClusterStatus.STOPPED.value, + cluster_status=[ClusterStatus.STOPPED], timeout=80), f'sky start -y {name}', f'sky logs {name} 2 --no-follow | grep -E "myenv\\s+\\*"', @@ -1068,9 +1161,9 @@ def test_stale_job(generic_cloud: str): f'sky launch -y -c {name} --cloud {generic_cloud} "echo hi"', f'sky exec {name} -d "echo start; sleep 10000"', f'sky stop {name} -y', - _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=ClusterStatus.STOPPED.value, + cluster_status=[ClusterStatus.STOPPED], timeout=100), f'sky start {name} -y', f'sky logs {name} 1 --status', @@ -1099,17 +1192,17 @@ def test_aws_stale_job_manual_restart(): '--output text`; ' f'aws ec2 stop-instances --region {region} ' '--instance-ids $id', - _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=ClusterStatus.STOPPED.value, + cluster_status=[ClusterStatus.STOPPED], timeout=40), f'sky launch -c {name} -y "echo hi"', f'sky logs {name} 1 --status', f'sky logs {name} 3 --status', # Ensure the skylet updated the stale job status. - _WAIT_UNTIL_JOB_STATUS_CONTAINS_WITHOUT_MATCHING_JOB.format( + _get_cmd_wait_until_job_status_contains_without_matching_job( cluster_name=name, - job_status=JobStatus.FAILED_DRIVER.value, + job_status=[JobStatus.FAILED_DRIVER], timeout=events.JobSchedulerEvent.EVENT_INTERVAL_SECONDS), ], f'sky down -y {name}', @@ -1140,9 +1233,9 @@ def test_gcp_stale_job_manual_restart(): f'sky logs {name} 1 --status', f'sky logs {name} 3 --status', # Ensure the skylet updated the stale job status. - _WAIT_UNTIL_JOB_STATUS_CONTAINS_WITHOUT_MATCHING_JOB.format( + _get_cmd_wait_until_job_status_contains_without_matching_job( cluster_name=name, - job_status=JobStatus.FAILED_DRIVER.value, + job_status=[JobStatus.FAILED_DRIVER], timeout=events.JobSchedulerEvent.EVENT_INTERVAL_SECONDS) ], f'sky down -y {name}', @@ -1820,6 +1913,7 @@ def test_large_job_queue(generic_cloud: str): f'for i in `seq 1 75`; do sky exec {name} -n {name}-$i -d "echo $i; sleep 100000000"; done', f'sky cancel -y {name} 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16', 'sleep 90', + # Each job takes 0.5 CPU and the default VM has 8 CPUs, so there should be 8 / 0.5 = 16 jobs running. # The first 16 jobs are canceled, so there should be 75 - 32 = 43 jobs PENDING. f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep -v grep | grep PENDING | wc -l | grep 43', @@ -1962,10 +2056,10 @@ def test_multi_echo(generic_cloud: str): ] + # Ensure jobs succeeded. [ - _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_ID.format( + _get_cmd_wait_until_job_status_contains_matching_job_id( cluster_name=name, job_id=i + 1, - job_status=JobStatus.SUCCEEDED.value, + job_status=[JobStatus.SUCCEEDED], timeout=120) for i in range(32) ] + # Ensure monitor/autoscaler didn't crash on the 'assert not @@ -2539,17 +2633,16 @@ def test_gcp_start_stop(): f'sky exec {name} "prlimit -n --pid=\$(pgrep -f \'raylet/raylet --raylet_socket_name\') | grep \'"\'1048576 1048576\'"\'"', # Ensure the raylet process has the correct file descriptor limit. f'sky logs {name} 3 --status', # Ensure the job succeeded. f'sky stop -y {name}', - _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=ClusterStatus.STOPPED.value, + cluster_status=[ClusterStatus.STOPPED], timeout=40), f'sky start -y {name} -i 1', f'sky exec {name} examples/gcp_start_stop.yaml', f'sky logs {name} 4 --status', # Ensure the job succeeded. - _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status= - f'({ClusterStatus.STOPPED.value}|{ClusterStatus.INIT.value})', + cluster_status=[ClusterStatus.STOPPED, ClusterStatus.INIT], timeout=200), ], f'sky down -y {name}', @@ -2573,10 +2666,9 @@ def test_azure_start_stop(): f'sky start -y {name} -i 1', f'sky exec {name} examples/azure_start_stop.yaml', f'sky logs {name} 3 --status', # Ensure the job succeeded. - _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status= - f'({ClusterStatus.STOPPED.value}|{ClusterStatus.INIT.value})', + cluster_status=[ClusterStatus.STOPPED, ClusterStatus.INIT], timeout=280) + f'|| {{ ssh {name} "cat ~/.sky/skylet.log"; exit 1; }}', ], @@ -2614,9 +2706,9 @@ def test_autostop(generic_cloud: str): f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep UP', # Ensure the cluster is STOPPED. - _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=ClusterStatus.STOPPED.value, + cluster_status=[ClusterStatus.STOPPED], timeout=autostop_timeout), # Ensure the cluster is UP and the autostop setting is reset ('-'). @@ -2633,9 +2725,9 @@ def test_autostop(generic_cloud: str): f'sky autostop -y {name} -i 1', # Should restart the timer. 'sleep 40', f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep UP', - _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=ClusterStatus.STOPPED.value, + cluster_status=[ClusterStatus.STOPPED], timeout=autostop_timeout), # Test restarting the idleness timer via exec: @@ -2645,10 +2737,9 @@ def test_autostop(generic_cloud: str): 'sleep 45', # Almost reached the threshold. f'sky exec {name} echo hi', # Should restart the timer. 'sleep 45', - f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep UP', - _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=ClusterStatus.STOPPED.value, + cluster_status=[ClusterStatus.STOPPED], timeout=autostop_timeout + _BUMP_UP_SECONDS), ], f'sky down -y {name}', @@ -2866,18 +2957,18 @@ def test_stop_gcp_spot(): f'sky exec {name} -- ls myfile', f'sky logs {name} 2 --status', f'sky autostop {name} -i0 -y', - _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=ClusterStatus.STOPPED.value, + cluster_status=[ClusterStatus.STOPPED], timeout=90), f'sky start {name} -y', f'sky exec {name} -- ls myfile', f'sky logs {name} 3 --status', # -i option at launch should go through: f'sky launch -c {name} -i0 -y', - _WAIT_UNTIL_CLUSTER_STATUS_IS.format( + _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=ClusterStatus.STOPPED.value, + cluster_status=[ClusterStatus.STOPPED], timeout=120), ], f'sky down -y {name}', @@ -2898,20 +2989,24 @@ def test_managed_jobs(generic_cloud: str): [ f'sky jobs launch -n {name}-1 --cloud {generic_cloud} examples/managed_job.yaml -y -d', f'sky jobs launch -n {name}-2 --cloud {generic_cloud} examples/managed_job.yaml -y -d', - _WAIT_UNTIL_MANAGED_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.format( + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=f'{name}-1', - job_status= - f'({JobStatus.PENDING.value}|{JobStatus.INIT.value}|{JobStatus.RUNNING.value})', + job_status=[ + ManagedJobStatus.PENDING, ManagedJobStatus.SUBMITTED, + ManagedJobStatus.STARTING, ManagedJobStatus.RUNNING + ], timeout=60), - _WAIT_UNTIL_MANAGED_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.format( + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=f'{name}-2', - job_status= - f'({JobStatus.PENDING.value}|{JobStatus.INIT.value}|{JobStatus.RUNNING.value})', + job_status=[ + ManagedJobStatus.PENDING, ManagedJobStatus.SUBMITTED, + ManagedJobStatus.STARTING, ManagedJobStatus.RUNNING + ], timeout=60), f'sky jobs cancel -y -n {name}-1', - _WAIT_UNTIL_MANAGED_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.format( + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=f'{name}-1', - job_status=f'{JobStatus.CANCELLED.value}', + job_status=[ManagedJobStatus.CANCELLED], timeout=230), # Test the functionality for logging. f's=$(sky jobs logs -n {name}-2 --no-follow); echo "$s"; echo "$s" | grep "start counting"', @@ -2983,9 +3078,9 @@ def test_managed_jobs_failed_setup(generic_cloud: str): [ f'sky jobs launch -n {name} --cloud {generic_cloud} -y -d tests/test_yamls/failed_setup.yaml', # Make sure the job failed quickly. - _WAIT_UNTIL_MANAGED_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.format( + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=f'{JobStatus.FAILED_SETUP.value}', + job_status=[ManagedJobStatus.FAILED_SETUP], timeout=330 + _BUMP_UP_SECONDS), ], f'sky jobs cancel -y -n {name}', @@ -3009,7 +3104,10 @@ def test_managed_jobs_pipeline_failed_setup(generic_cloud: str): 'managed_jobs_pipeline_failed_setup', [ f'sky jobs launch -n {name} -y -d tests/test_yamls/failed_setup_pipeline.yaml', - 'sleep 600', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ManagedJobStatus.FAILED_SETUP], + timeout=600), # Make sure the job failed quickly. f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "FAILED_SETUP"', # Task 0 should be SUCCEEDED. @@ -3043,8 +3141,10 @@ def test_managed_jobs_recovery_aws(aws_config_region): 'managed_jobs_recovery_aws', [ f'sky jobs launch --cloud aws --region {region} --use-spot -n {name} "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', - 'sleep 360', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ManagedJobStatus.RUNNING], + timeout=600), f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', # Terminate the cluster manually. (f'aws ec2 terminate-instances --region {region} --instance-ids $(' @@ -3054,8 +3154,10 @@ def test_managed_jobs_recovery_aws(aws_config_region): '--output text)'), _JOB_WAIT_NOT_RUNNING.format(job_name=name), f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', - 'sleep 200', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ManagedJobStatus.RUNNING], + timeout=200), f'RUN_ID=$(cat /tmp/{name}-run-id); echo "$RUN_ID"; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | grep "$RUN_ID"', ], f'sky jobs cancel -y -n {name}', @@ -3083,15 +3185,19 @@ def test_managed_jobs_recovery_gcp(): 'managed_jobs_recovery_gcp', [ f'sky jobs launch --cloud gcp --zone {zone} -n {name} --use-spot --cpus 2 "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', - 'sleep 360', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ManagedJobStatus.RUNNING], + timeout=300), f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', # Terminate the cluster manually. terminate_cmd, _JOB_WAIT_NOT_RUNNING.format(job_name=name), f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', - 'sleep 200', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ManagedJobStatus.RUNNING], + timeout=200), f'RUN_ID=$(cat /tmp/{name}-run-id); echo "$RUN_ID"; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | grep "$RUN_ID"', ], f'sky jobs cancel -y -n {name}', @@ -3114,8 +3220,10 @@ def test_managed_jobs_pipeline_recovery_aws(aws_config_region): 'managed_jobs_pipeline_recovery_aws', [ f'sky jobs launch -n {name} tests/test_yamls/pipeline_aws.yaml -y -d', - 'sleep 400', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ManagedJobStatus.RUNNING], + timeout=400), f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids', # Terminate the cluster manually. @@ -3134,8 +3242,10 @@ def test_managed_jobs_pipeline_recovery_aws(aws_config_region): '--output text)'), _JOB_WAIT_NOT_RUNNING.format(job_name=name), f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', - 'sleep 200', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ManagedJobStatus.RUNNING], + timeout=200), f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | grep "$RUN_ID"', f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids-new', f'diff /tmp/{name}-run-ids /tmp/{name}-run-ids-new', @@ -3165,8 +3275,10 @@ def test_managed_jobs_pipeline_recovery_gcp(): 'managed_jobs_pipeline_recovery_gcp', [ f'sky jobs launch -n {name} tests/test_yamls/pipeline_gcp.yaml -y -d', - 'sleep 400', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ManagedJobStatus.RUNNING], + timeout=400), f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids', # Terminate the cluster manually. @@ -3177,8 +3289,10 @@ def test_managed_jobs_pipeline_recovery_gcp(): f'cut -d\'_\' -f1 | rev | cut -d\'-\' -f1`; {terminate_cmd}'), _JOB_WAIT_NOT_RUNNING.format(job_name=name), f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', - 'sleep 200', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ManagedJobStatus.RUNNING], + timeout=200), f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | grep "$RUN_ID"', f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids-new', f'diff /tmp/{name}-run-ids /tmp/{name}-run-ids-new', @@ -3204,8 +3318,12 @@ def test_managed_jobs_recovery_default_resources(generic_cloud: str): 'managed-spot-recovery-default-resources', [ f'sky jobs launch -n {name} --cloud {generic_cloud} --use-spot "sleep 30 && sudo shutdown now && sleep 1000" -y -d', - 'sleep 360', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING\|RECOVERING"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ + ManagedJobStatus.RUNNING, ManagedJobStatus.RECOVERING + ], + timeout=360), ], f'sky jobs cancel -y -n {name}', timeout=25 * 60, @@ -3225,8 +3343,10 @@ def test_managed_jobs_recovery_multi_node_aws(aws_config_region): 'managed_jobs_recovery_multi_node_aws', [ f'sky jobs launch --cloud aws --region {region} -n {name} --use-spot --num-nodes 2 "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', - 'sleep 450', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ManagedJobStatus.RUNNING], + timeout=450), f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', # Terminate the worker manually. (f'aws ec2 terminate-instances --region {region} --instance-ids $(' @@ -3237,8 +3357,10 @@ def test_managed_jobs_recovery_multi_node_aws(aws_config_region): '--output text)'), _JOB_WAIT_NOT_RUNNING.format(job_name=name), f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', - 'sleep 560', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ManagedJobStatus.RUNNING], + timeout=560), f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2 | grep "$RUN_ID"', ], f'sky jobs cancel -y -n {name}', @@ -3266,15 +3388,19 @@ def test_managed_jobs_recovery_multi_node_gcp(): 'managed_jobs_recovery_multi_node_gcp', [ f'sky jobs launch --cloud gcp --zone {zone} -n {name} --use-spot --num-nodes 2 "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', - 'sleep 400', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ManagedJobStatus.RUNNING], + timeout=400), f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', # Terminate the worker manually. terminate_cmd, _JOB_WAIT_NOT_RUNNING.format(job_name=name), f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', - 'sleep 420', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ManagedJobStatus.RUNNING], + timeout=560), f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2 | grep "$RUN_ID"', ], f'sky jobs cancel -y -n {name}', @@ -3299,13 +3425,17 @@ def test_managed_jobs_cancellation_aws(aws_config_region): [ # Test cancellation during spot cluster being launched. f'sky jobs launch --cloud aws --region {region} -n {name} --use-spot "sleep 1000" -y -d', - 'sleep 60', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "STARTING\|RUNNING"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ + ManagedJobStatus.STARTING, ManagedJobStatus.RUNNING + ], + timeout=60 + _BUMP_UP_SECONDS), f'sky jobs cancel -y -n {name}', - 'sleep 5', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "CANCELLING\|CANCELLED"', - 'sleep 120', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "CANCELLED"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ManagedJobStatus.CANCELLED], + timeout=120 + _BUMP_UP_SECONDS), (f's=$(aws ec2 describe-instances --region {region} ' f'--filters Name=tag:ray-cluster-name,Values={name_on_cloud}-* ' f'--query Reservations[].Instances[].State[].Name ' @@ -3313,12 +3443,16 @@ def test_managed_jobs_cancellation_aws(aws_config_region): ), # Test cancelling the spot cluster during spot job being setup. f'sky jobs launch --cloud aws --region {region} -n {name}-2 --use-spot tests/test_yamls/test_long_setup.yaml -y -d', - 'sleep 300', + # The job is set up in the cluster, will shown as RUNNING. + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=f'{name}-2', + job_status=[ManagedJobStatus.RUNNING], + timeout=300 + _BUMP_UP_SECONDS), f'sky jobs cancel -y -n {name}-2', - 'sleep 5', - f'{_GET_JOB_QUEUE} | grep {name}-2 | head -n1 | grep "CANCELLING\|CANCELLED"', - 'sleep 120', - f'{_GET_JOB_QUEUE} | grep {name}-2 | head -n1 | grep "CANCELLED"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=f'{name}-2', + job_status=[ManagedJobStatus.CANCELLED], + timeout=120 + _BUMP_UP_SECONDS), (f's=$(aws ec2 describe-instances --region {region} ' f'--filters Name=tag:ray-cluster-name,Values={name_2_on_cloud}-* ' f'--query Reservations[].Instances[].State[].Name ' @@ -3326,8 +3460,11 @@ def test_managed_jobs_cancellation_aws(aws_config_region): ), # Test cancellation during spot job is recovering. f'sky jobs launch --cloud aws --region {region} -n {name}-3 --use-spot "sleep 1000" -y -d', - 'sleep 300', - f'{_GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "RUNNING"', + # The job is running in the cluster, will shown as RUNNING. + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=f'{name}-3', + job_status=[ManagedJobStatus.RUNNING], + timeout=300 + _BUMP_UP_SECONDS), # Terminate the cluster manually. (f'aws ec2 terminate-instances --region {region} --instance-ids $(' f'aws ec2 describe-instances --region {region} ' @@ -3337,10 +3474,10 @@ def test_managed_jobs_cancellation_aws(aws_config_region): _JOB_WAIT_NOT_RUNNING.format(job_name=f'{name}-3'), f'{_GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "RECOVERING"', f'sky jobs cancel -y -n {name}-3', - 'sleep 5', - f'{_GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "CANCELLING\|CANCELLED"', - 'sleep 120', - f'{_GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "CANCELLED"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=f'{name}-3', + job_status=[ManagedJobStatus.CANCELLED], + timeout=120 + _BUMP_UP_SECONDS), # The cluster should be terminated (shutting-down) after cancellation. We don't use the `=` operator here because # there can be multiple VM with the same name due to the recovery. (f's=$(aws ec2 describe-instances --region {region} ' @@ -3375,34 +3512,42 @@ def test_managed_jobs_cancellation_gcp(): [ # Test cancellation during spot cluster being launched. f'sky jobs launch --cloud gcp --zone {zone} -n {name} --use-spot "sleep 1000" -y -d', - 'sleep 60', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "STARTING"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ManagedJobStatus.STARTING], + timeout=60 + _BUMP_UP_SECONDS), f'sky jobs cancel -y -n {name}', - 'sleep 5', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "CANCELLING\|CANCELLED"', - 'sleep 120', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "CANCELLED"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ManagedJobStatus.CANCELLED], + timeout=120 + _BUMP_UP_SECONDS), # Test cancelling the spot cluster during spot job being setup. f'sky jobs launch --cloud gcp --zone {zone} -n {name}-2 --use-spot tests/test_yamls/test_long_setup.yaml -y -d', - 'sleep 300', + # The job is set up in the cluster, will shown as RUNNING. + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=f'{name}-2', + job_status=[ManagedJobStatus.RUNNING], + timeout=300 + _BUMP_UP_SECONDS), f'sky jobs cancel -y -n {name}-2', - 'sleep 5', - f'{_GET_JOB_QUEUE} | grep {name}-2 | head -n1 | grep "CANCELLING\|CANCELLED"', - 'sleep 120', - f'{_GET_JOB_QUEUE} | grep {name}-2 | head -n1 | grep "CANCELLED"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=f'{name}-2', + job_status=[ManagedJobStatus.CANCELLED], + timeout=120 + _BUMP_UP_SECONDS), # Test cancellation during spot job is recovering. f'sky jobs launch --cloud gcp --zone {zone} -n {name}-3 --use-spot "sleep 1000" -y -d', - 'sleep 300', - f'{_GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "RUNNING"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=f'{name}-3', + job_status=[ManagedJobStatus.RUNNING], + timeout=300 + _BUMP_UP_SECONDS), # Terminate the cluster manually. terminate_cmd, _JOB_WAIT_NOT_RUNNING.format(job_name=f'{name}-3'), f'{_GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "RECOVERING"', f'sky jobs cancel -y -n {name}-3', - 'sleep 5', - f'{_GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "CANCELLING\|CANCELLED"', - 'sleep 120', - f'{_GET_JOB_QUEUE} | grep {name}-3 | head -n1 | grep "CANCELLED"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=f'{name}-3', + job_status=[ManagedJobStatus.CANCELLED], + timeout=120 + _BUMP_UP_SECONDS), # The cluster should be terminated (STOPPING) after cancellation. We don't use the `=` operator here because # there can be multiple VM with the same name due to the recovery. (f's=$({query_state_cmd}) && echo "$s" && echo; [[ -z "$s" ]] || echo "$s" | grep -v -E "PROVISIONING|STAGING|RUNNING|REPAIRING|TERMINATED|SUSPENDING|SUSPENDED|SUSPENDED"' @@ -3492,8 +3637,10 @@ def test_managed_jobs_storage(generic_cloud: str): *STORAGE_SETUP_COMMANDS, f'sky jobs launch -n {name}{use_spot} --cloud {generic_cloud}{region_flag} {file_path} -y', region_validation_cmd, # Check if the bucket is created in the correct region - 'sleep 60', # Wait the spot queue to be updated - f'{_GET_JOB_QUEUE} | grep {name} | grep SUCCEEDED', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ManagedJobStatus.SUCCEEDED], + timeout=60 + _BUMP_UP_SECONDS), f'[ $(aws s3api list-buckets --query "Buckets[?contains(Name, \'{storage_name}\')].Name" --output text | wc -l) -eq 0 ]', # Check if file was written to the mounted output bucket output_check_cmd @@ -3517,10 +3664,17 @@ def test_managed_jobs_tpu(): 'test-spot-tpu', [ f'sky jobs launch -n {name} --use-spot examples/tpu/tpuvm_mnist.yaml -y -d', - 'sleep 5', - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep STARTING', - 'sleep 900', # TPU takes a while to launch - f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RUNNING\|SUCCEEDED"', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ManagedJobStatus.STARTING], + timeout=60 + _BUMP_UP_SECONDS), + # TPU takes a while to launch + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ + ManagedJobStatus.RUNNING, ManagedJobStatus.SUCCEEDED + ], + timeout=900 + _BUMP_UP_SECONDS), ], f'sky jobs cancel -y -n {name}', # Increase timeout since sky jobs queue -r can be blocked by other spot tests. @@ -3538,8 +3692,10 @@ def test_managed_jobs_inline_env(generic_cloud: str): 'test-managed-jobs-inline-env', [ f'sky jobs launch -n {name} -y --cloud {generic_cloud} --env TEST_ENV="hello world" -- "([[ ! -z \\"\$TEST_ENV\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_IPS}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_RANK}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NUM_NODES}\\" ]]) || exit 1"', - 'sleep 20', - f'{_GET_JOB_QUEUE} | grep {name} | grep SUCCEEDED', + _get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name=name, + job_status=[ManagedJobStatus.SUCCEEDED], + timeout=20 + _BUMP_UP_SECONDS), ], f'sky jobs cancel -y -n {name}', # Increase timeout since sky jobs queue -r can be blocked by other spot tests. @@ -3646,8 +3802,10 @@ def test_azure_start_stop_two_nodes(): f'sky start -y {name} -i 1', f'sky exec --num-nodes=2 {name} examples/azure_start_stop.yaml', f'sky logs {name} 2 --status', # Ensure the job succeeded. - 'sleep 200', - f's=$(sky status -r {name}) && echo "$s" && echo "$s" | grep "INIT\|STOPPED"' + _get_cmd_wait_until_cluster_status_contains( + cluster_name=name, + cluster_status=[ClusterStatus.INIT, ClusterStatus.STOPPED], + timeout=200 + _BUMP_UP_SECONDS) + f'|| {{ ssh {name} "cat ~/.sky/skylet.log"; exit 1; }}' ], f'sky down -y {name}', @@ -4658,7 +4816,10 @@ def test_core_api_sky_launch_fast(generic_cloud: str): idle_minutes_to_autostop=1, fast=True) # Sleep to let the cluster autostop - time.sleep(120) + _get_cmd_wait_until_cluster_status_contains( + cluster_name=name, + cluster_status=[ClusterStatus.STOPPED], + timeout=120) # Run it again - should work with fast=True sky.launch(task, cluster_name=name, From 7c20bd869acbf20b5f6a62898eaae26aa1d160a5 Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Tue, 26 Nov 2024 16:57:31 -0800 Subject: [PATCH 118/152] [k8s] Fix in-cluster auth namespace fetching (#4420) * Fix incluster auth namespace fetching * Fixes --- sky/provision/kubernetes/utils.py | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/sky/provision/kubernetes/utils.py b/sky/provision/kubernetes/utils.py index 9a1de4e9036..7442c9be7a6 100644 --- a/sky/provision/kubernetes/utils.py +++ b/sky/provision/kubernetes/utils.py @@ -1045,11 +1045,15 @@ def get_kube_config_context_namespace( the default namespace. """ k8s = kubernetes.kubernetes - # Get namespace if using in-cluster config ns_path = '/var/run/secrets/kubernetes.io/serviceaccount/namespace' - if os.path.exists(ns_path): - with open(ns_path, encoding='utf-8') as f: - return f.read().strip() + # If using in-cluster context, get the namespace from the service account + # namespace file. Uses the same logic as adaptors.kubernetes._load_config() + # to stay consistent with in-cluster config loading. + if (context_name == kubernetes.in_cluster_context_name() or + context_name is None): + if os.path.exists(ns_path): + with open(ns_path, encoding='utf-8') as f: + return f.read().strip() # If not in-cluster, get the namespace from kubeconfig try: contexts, current_context = k8s.config.list_kube_config_contexts() From 36e4aa3c645a04cfb37e8dee2c17091e520b1a8b Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Tue, 26 Nov 2024 16:57:41 -0800 Subject: [PATCH 119/152] [k8s] Update comparison page image (#4415) Update image --- docs/source/reference/comparison.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/source/reference/comparison.rst b/docs/source/reference/comparison.rst index e9bffabba68..23985e5081b 100644 --- a/docs/source/reference/comparison.rst +++ b/docs/source/reference/comparison.rst @@ -46,7 +46,7 @@ SkyPilot provides faster iteration for interactive development. For example, a c * :strong:`With SkyPilot, a single command (`:literal:`sky launch`:strong:`) takes care of everything.` Behind the scenes, SkyPilot provisions pods, installs all required dependencies, executes the job, returns logs, and provides SSH and VSCode access to debug. -.. figure:: https://blog.skypilot.co/ai-on-kubernetes/images/k8s_vs_skypilot_iterative_v2.png +.. figure:: https://i.imgur.com/xfCfz4N.png :align: center :width: 95% :alt: Iterative Development with Kubernetes vs SkyPilot From c3223a444755ba96ef223b65973fe54df8092207 Mon Sep 17 00:00:00 2001 From: zpoint Date: Wed, 27 Nov 2024 13:55:10 +0800 Subject: [PATCH 120/152] Add a pre commit config to help format before pushing (#4258) * pre commit config * yapf version * fix * mypy check all files * skip smoke_test.py * add doc * better format * newline format * sync with format.sh * comment fix --- .pre-commit-config.yaml | 80 +++++++++++++++++++++++++++++++++++++++++ CONTRIBUTING.md | 1 + 2 files changed, 81 insertions(+) create mode 100644 .pre-commit-config.yaml diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 00000000000..e2db4211454 --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,80 @@ +# Ensure this configuration aligns with format.sh and requirements.txt +repos: +- repo: https://github.com/pre-commit/pre-commit-hooks + rev: v5.0.0 + hooks: + - id: trailing-whitespace + - id: end-of-file-fixer + - id: check-yaml + - id: check-added-large-files + +- repo: https://github.com/psf/black + rev: 22.10.0 # Match the version from requirements + hooks: + - id: black + name: black (IBM specific) + files: "^sky/skylet/providers/ibm/.*" # Match only files in the IBM directory + +- repo: https://github.com/pycqa/isort + rev: 5.12.0 # Match the version from requirements + hooks: + # First isort command + - id: isort + name: isort (general) + args: + - "--sg=build/**" # Matches "${ISORT_YAPF_EXCLUDES[@]}" + - "--sg=sky/skylet/providers/ibm/**" + files: "^(sky|tests|examples|llm|docs)/.*" # Only match these directories + # Second isort command + - id: isort + name: isort (IBM specific) + args: + - "--profile=black" + - "-l=88" + - "-m=3" + files: "^sky/skylet/providers/ibm/.*" # Only match IBM-specific directory + +- repo: https://github.com/pre-commit/mirrors-mypy + rev: v0.991 # Match the version from requirements + hooks: + - id: mypy + args: + # From tests/mypy_files.txt + - "sky" + - "--exclude" + - "sky/benchmark|sky/callbacks|sky/skylet/providers/azure|sky/resources.py|sky/backends/monkey_patches" + pass_filenames: false + additional_dependencies: + - types-PyYAML + - types-requests<2.31 # Match the condition in requirements.txt + - types-setuptools + - types-cachetools + - types-pyvmomi + +- repo: https://github.com/google/yapf + rev: v0.32.0 # Match the version from requirements + hooks: + - id: yapf + name: yapf + exclude: (build/.*|sky/skylet/providers/ibm/.*) # Matches exclusions from the script + args: ['--recursive', '--parallel'] # Only necessary flags + additional_dependencies: [toml==0.10.2] + +- repo: https://github.com/pylint-dev/pylint + rev: v2.14.5 # Match the version from requirements + hooks: + - id: pylint + additional_dependencies: + - pylint-quotes==0.2.3 # Match the version from requirements + name: pylint-only-changed-files + entry: > + bash -c ' + MERGEBASE=$(git merge-base origin/main HEAD); + changed_files=$(git diff --name-only --diff-filter=ACM "$MERGEBASE" -- "sky/*.py" "sky/*.pyi"); + if [[ -n "$changed_files" ]]; then + echo "$changed_files" | tr "\n" "\0" | xargs -0 pylint --load-plugins=pylint_quotes --rcfile=.pylintrc; + else + echo "Pylint skipped: no files changed in sky/."; + fi' + pass_filenames: false + always_run: true diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index fc115331fa2..85ca90b2c4a 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -78,6 +78,7 @@ It has some convenience features which you might find helpful (see [Dockerfile]( - If relevant, add tests for your changes. For changes that touch the core system, run the [smoke tests](#testing) and ensure they pass. - Follow the [Google style guide](https://google.github.io/styleguide/pyguide.html). - Ensure code is properly formatted by running [`format.sh`](https://github.com/skypilot-org/skypilot/blob/master/format.sh). + - [Optional] You can also install pre-commit hooks by running `pre-commit install` to automatically format your code on commit. - Push your changes to your fork and open a pull request in the SkyPilot repository. - In the PR description, write a `Tested:` section to describe relevant tests performed. From 23f9821bd165c8d154a44c3505a18b1e28cc0f48 Mon Sep 17 00:00:00 2001 From: zpoint Date: Wed, 27 Nov 2024 17:27:33 +0800 Subject: [PATCH 121/152] fix the pylint hook for pre-commit (#4422) * fix the pylint hook * remove default arg * change name * limit pylint files --- .pre-commit-config.yaml | 18 ++++++------------ 1 file changed, 6 insertions(+), 12 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index e2db4211454..db40b03b5fa 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -66,15 +66,9 @@ repos: - id: pylint additional_dependencies: - pylint-quotes==0.2.3 # Match the version from requirements - name: pylint-only-changed-files - entry: > - bash -c ' - MERGEBASE=$(git merge-base origin/main HEAD); - changed_files=$(git diff --name-only --diff-filter=ACM "$MERGEBASE" -- "sky/*.py" "sky/*.pyi"); - if [[ -n "$changed_files" ]]; then - echo "$changed_files" | tr "\n" "\0" | xargs -0 pylint --load-plugins=pylint_quotes --rcfile=.pylintrc; - else - echo "Pylint skipped: no files changed in sky/."; - fi' - pass_filenames: false - always_run: true + name: pylint + args: + - --rcfile=.pylintrc # Use your custom pylint configuration + - --load-plugins=pylint_quotes # Load the pylint-quotes plugin + files: ^sky/ # Only include files from the 'sky/' directory + exclude: ^sky/skylet/providers/ibm/ From 68723df97c7c981887ba9100c510aca953f45c11 Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Wed, 27 Nov 2024 17:13:32 -0800 Subject: [PATCH 122/152] [k8s] Fix resources.image_id backward compatibility (#4425) * Fix back compat * Fix back compat for image_id + regions * lint * comments --- sky/clouds/kubernetes.py | 5 +++-- sky/resources.py | 23 ++++++++++++++++++++++- 2 files changed, 25 insertions(+), 3 deletions(-) diff --git a/sky/clouds/kubernetes.py b/sky/clouds/kubernetes.py index ace14bc0c51..471639626eb 100644 --- a/sky/clouds/kubernetes.py +++ b/sky/clouds/kubernetes.py @@ -41,6 +41,8 @@ class Kubernetes(clouds.Cloud): SKY_SSH_KEY_SECRET_NAME = 'sky-ssh-keys' SKY_SSH_JUMP_NAME = 'sky-ssh-jump-pod' + LEGACY_SINGLETON_REGION = 'kubernetes' + # Limit the length of the cluster name to avoid exceeding the limit of 63 # characters for Kubernetes resources. We limit to 42 characters (63-21) to # allow additional characters for creating ingress services to expose ports. @@ -54,7 +56,6 @@ class Kubernetes(clouds.Cloud): _DEFAULT_MEMORY_CPU_RATIO = 1 _DEFAULT_MEMORY_CPU_RATIO_WITH_GPU = 4 # Allocate more memory for GPU tasks _REPR = 'Kubernetes' - _LEGACY_SINGLETON_REGION = 'kubernetes' _CLOUD_UNSUPPORTED_FEATURES = { # TODO(romilb): Stopping might be possible to implement with # container checkpointing introduced in Kubernetes v1.25. See: @@ -630,7 +631,7 @@ def instance_type_exists(self, instance_type: str) -> bool: instance_type) def validate_region_zone(self, region: Optional[str], zone: Optional[str]): - if region == self._LEGACY_SINGLETON_REGION: + if region == self.LEGACY_SINGLETON_REGION: # For backward compatibility, we allow the region to be set to the # legacy singleton region. # TODO: Remove this after 0.9.0. diff --git a/sky/resources.py b/sky/resources.py index 729b9d62a28..5184278e02e 100644 --- a/sky/resources.py +++ b/sky/resources.py @@ -45,7 +45,7 @@ class Resources: """ # If any fields changed, increment the version. For backward compatibility, # modify the __setstate__ method to handle the old version. - _VERSION = 19 + _VERSION = 20 def __init__( self, @@ -1607,4 +1607,25 @@ def __setstate__(self, state): self._cluster_config_overrides = state.pop( '_cluster_config_overrides', None) + if version < 20: + # Pre-0.7.0, we used 'kubernetes' as the default region for + # Kubernetes clusters. With the introduction of support for + # multiple contexts, we now set the region to the context name. + # Since we do not have information on which context the cluster + # was run in, we default it to the current active context. + legacy_region = clouds.Kubernetes().LEGACY_SINGLETON_REGION + original_cloud = state.get('_cloud', None) + original_region = state.get('_region', None) + if (isinstance(original_cloud, clouds.Kubernetes) and + original_region == legacy_region): + current_context = ( + kubernetes_utils.get_current_kube_config_context_name()) + state['_region'] = current_context + # Also update the image_id dict if it contains the old region + if isinstance(state['_image_id'], dict): + if legacy_region in state['_image_id']: + state['_image_id'][current_context] = ( + state['_image_id'][legacy_region]) + del state['_image_id'][legacy_region] + self.__dict__.update(state) From 333bc18d92ee9ba55ebcbda05ca55b6ab807e28a Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Mon, 2 Dec 2024 19:00:41 -0800 Subject: [PATCH 123/152] [Tests] Move tests to uv to speed up the dependency installation by >10x (#4424) * correct cache for pypi * Add doc cache and test cache * Add examples folder * fix policy path * use uv for pylint * Fix azure cli * disable cache * use venv * set venv * source instead * rename doc build * Move to uv * Fix azure cli * Add -e * Update .github/workflows/format.yml Co-authored-by: Christopher Cooper * Update .github/workflows/mypy.yml Co-authored-by: Christopher Cooper * Update .github/workflows/pylint.yml Co-authored-by: Christopher Cooper * Update .github/workflows/pytest.yml Co-authored-by: Christopher Cooper * Update .github/workflows/test-doc-build.yml Co-authored-by: Christopher Cooper * fix pytest yml * Add merge group --------- Co-authored-by: Christopher Cooper --- .github/workflows/format.yml | 20 +++++++++++------ .github/workflows/mypy-generic.yml | 22 ------------------- .github/workflows/mypy.yml | 15 ++++++++----- .github/workflows/pylint.yml | 16 ++++++++------ .github/workflows/pytest.yml | 31 +++++++++++---------------- .github/workflows/test-doc-build.yml | 16 ++++++++------ tests/unit_tests/test_admin_policy.py | 4 ++++ 7 files changed, 60 insertions(+), 64 deletions(-) delete mode 100644 .github/workflows/mypy-generic.yml diff --git a/.github/workflows/format.yml b/.github/workflows/format.yml index a19bdcd020d..d9664287a41 100644 --- a/.github/workflows/format.yml +++ b/.github/workflows/format.yml @@ -21,29 +21,35 @@ jobs: python-version: ["3.8"] steps: - uses: actions/checkout@v3 - - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v4 + - name: Install the latest version of uv + uses: astral-sh/setup-uv@v4 with: + version: "latest" python-version: ${{ matrix.python-version }} - name: Install dependencies run: | - python -m pip install --upgrade pip - pip install yapf==0.32.0 - pip install toml==0.10.2 - pip install black==22.10.0 - pip install isort==5.12.0 + uv venv --seed ~/test-env + source ~/test-env/bin/activate + uv pip install yapf==0.32.0 + uv pip install toml==0.10.2 + uv pip install black==22.10.0 + uv pip install isort==5.12.0 - name: Running yapf run: | + source ~/test-env/bin/activate yapf --diff --recursive ./ --exclude 'sky/skylet/ray_patches/**' \ --exclude 'sky/skylet/providers/ibm/**' - name: Running black run: | + source ~/test-env/bin/activate black --diff --check sky/skylet/providers/ibm/ - name: Running isort for black formatted files run: | + source ~/test-env/bin/activate isort --diff --check --profile black -l 88 -m 3 \ sky/skylet/providers/ibm/ - name: Running isort for yapf formatted files run: | + source ~/test-env/bin/activate isort --diff --check ./ --sg 'sky/skylet/ray_patches/**' \ --sg 'sky/skylet/providers/ibm/**' diff --git a/.github/workflows/mypy-generic.yml b/.github/workflows/mypy-generic.yml deleted file mode 100644 index c28ffad9bb7..00000000000 --- a/.github/workflows/mypy-generic.yml +++ /dev/null @@ -1,22 +0,0 @@ -# This is needed for GitHub Actions for the "Waiting for status to be reported" problem, -# according to https://docs.github.com/en/repositories/configuring-branches-and-merges-in-your-repository/defining-the-mergeability-of-pull-requests/troubleshooting-required-status-checks -name: mypy - -on: - # Trigger the workflow on push or pull request, - # but only for the main branch - push: - branches: - - master - - 'releases/**' - pull_request: - branches: - - master - - 'releases/**' - merge_group: - -jobs: - mypy: - runs-on: ubuntu-latest - steps: - - run: 'echo "No mypy to run"' diff --git a/.github/workflows/mypy.yml b/.github/workflows/mypy.yml index d59e90a9e99..6df98401fcb 100644 --- a/.github/workflows/mypy.yml +++ b/.github/workflows/mypy.yml @@ -11,6 +11,8 @@ on: branches: - master - 'releases/**' + merge_group: + jobs: mypy: runs-on: ubuntu-latest @@ -19,15 +21,18 @@ jobs: python-version: ["3.8"] steps: - uses: actions/checkout@v3 - - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v4 + - name: Install the latest version of uv + uses: astral-sh/setup-uv@v4 with: + version: "latest" python-version: ${{ matrix.python-version }} - name: Install dependencies run: | - python -m pip install --upgrade pip - pip install mypy==$(grep mypy requirements-dev.txt | cut -d'=' -f3) - pip install $(grep types- requirements-dev.txt | tr '\n' ' ') + uv venv --seed ~/test-env + source ~/test-env/bin/activate + uv pip install mypy==$(grep mypy requirements-dev.txt | cut -d'=' -f3) + uv pip install $(grep types- requirements-dev.txt | tr '\n' ' ') - name: Running mypy run: | + source ~/test-env/bin/activate mypy $(cat tests/mypy_files.txt) diff --git a/.github/workflows/pylint.yml b/.github/workflows/pylint.yml index 0555fb934d0..f5cf40a31ad 100644 --- a/.github/workflows/pylint.yml +++ b/.github/workflows/pylint.yml @@ -21,16 +21,20 @@ jobs: python-version: ["3.8"] steps: - uses: actions/checkout@v3 - - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v4 + - name: Install the latest version of uv + uses: astral-sh/setup-uv@v4 with: + version: "latest" python-version: ${{ matrix.python-version }} - name: Install dependencies run: | - python -m pip install --upgrade pip - pip install ".[all]" - pip install pylint==2.14.5 - pip install pylint-quotes==0.2.3 + uv venv --seed ~/test-env + source ~/test-env/bin/activate + uv pip install --prerelease=allow "azure-cli>=2.65.0" + uv pip install ".[all]" + uv pip install pylint==2.14.5 + uv pip install pylint-quotes==0.2.3 - name: Analysing the code with pylint run: | + source ~/test-env/bin/activate pylint --load-plugins pylint_quotes sky diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml index 757bfec36d2..bface9232cf 100644 --- a/.github/workflows/pytest.yml +++ b/.github/workflows/pytest.yml @@ -35,26 +35,21 @@ jobs: steps: - name: Checkout repository uses: actions/checkout@v3 - - - name: Install Python ${{ matrix.python-version }} - uses: actions/setup-python@v4 + - name: Install the latest version of uv + uses: astral-sh/setup-uv@v4 with: + version: "latest" python-version: ${{ matrix.python-version }} - - - name: Cache dependencies - uses: actions/cache@v3 - if: startsWith(runner.os, 'Linux') - with: - path: ~/.cache/pip - key: ${{ runner.os }}-pip-pytest-${{ matrix.python-version }} - restore-keys: | - ${{ runner.os }}-pip-pytest-${{ matrix.python-version }} - - name: Install dependencies run: | - python -m pip install --upgrade pip - pip install -e ".[all]" - pip install pytest pytest-xdist pytest-env>=0.6 memory-profiler==0.61.0 - + uv venv --seed ~/test-env + source ~/test-env/bin/activate + uv pip install --prerelease=allow "azure-cli>=2.65.0" + # Use -e to include examples and tests folder in the path for unit + # tests to access them. + uv pip install -e ".[all]" + uv pip install pytest pytest-xdist pytest-env>=0.6 memory-profiler==0.61.0 - name: Run tests with pytest - run: SKYPILOT_DISABLE_USAGE_COLLECTION=1 SKYPILOT_SKIP_CLOUD_IDENTITY_CHECK=1 pytest -n 0 --dist no ${{ matrix.test-path }} + run: | + source ~/test-env/bin/activate + SKYPILOT_DISABLE_USAGE_COLLECTION=1 SKYPILOT_SKIP_CLOUD_IDENTITY_CHECK=1 pytest -n 0 --dist no ${{ matrix.test-path }} diff --git a/.github/workflows/test-doc-build.yml b/.github/workflows/test-doc-build.yml index 706aa071706..4a55e4fef89 100644 --- a/.github/workflows/test-doc-build.yml +++ b/.github/workflows/test-doc-build.yml @@ -14,24 +14,28 @@ on: merge_group: jobs: - format: + doc-build: runs-on: ubuntu-latest strategy: matrix: python-version: ["3.10"] steps: - uses: actions/checkout@v3 - - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v4 + - name: Install the latest version of uv + uses: astral-sh/setup-uv@v4 with: + version: "latest" python-version: ${{ matrix.python-version }} - name: Install dependencies run: | - python -m pip install --upgrade pip - pip install . + uv venv --seed ~/test-env + source ~/test-env/bin/activate + uv pip install --prerelease=allow "azure-cli>=2.65.0" + uv pip install ".[all]" cd docs - pip install -r ./requirements-docs.txt + uv pip install -r ./requirements-docs.txt - name: Build documentation run: | + source ~/test-env/bin/activate cd ./docs ./build.sh diff --git a/tests/unit_tests/test_admin_policy.py b/tests/unit_tests/test_admin_policy.py index be40cc55723..c9e7ad35af2 100644 --- a/tests/unit_tests/test_admin_policy.py +++ b/tests/unit_tests/test_admin_policy.py @@ -16,6 +16,10 @@ POLICY_PATH = os.path.join(os.path.dirname(os.path.dirname(sky.__file__)), 'examples', 'admin_policy') +if not os.path.exists(POLICY_PATH): + # This is used for GitHub Actions, as we copy the examples to the package. + POLICY_PATH = os.path.join(os.path.dirname(__file__), 'examples', + 'admin_policy') @pytest.fixture From 5c1cb9cf919ade8991915d4c81a943243e801296 Mon Sep 17 00:00:00 2001 From: zpoint Date: Tue, 3 Dec 2024 14:08:43 +0800 Subject: [PATCH 124/152] update readme for test kubernetes example (#4426) * update readme * fetch version from gcloud * rename var to GKE_VERSION * subnetwork also use REGION --- tests/kubernetes/README.md | 22 ++++++++++++++-------- 1 file changed, 14 insertions(+), 8 deletions(-) diff --git a/tests/kubernetes/README.md b/tests/kubernetes/README.md index 7c5ed7586ff..e15f593e006 100644 --- a/tests/kubernetes/README.md +++ b/tests/kubernetes/README.md @@ -1,10 +1,10 @@ # SkyPilot Kubernetes Development Scripts -This directory contains useful scripts and notes for developing SkyPilot on Kubernetes. +This directory contains useful scripts and notes for developing SkyPilot on Kubernetes. ## Building and pushing SkyPilot image -We maintain a container image that has all basic SkyPilot dependencies installed. +We maintain a container image that has all basic SkyPilot dependencies installed. This image is hosted at `us-central1-docker.pkg.dev/skypilot-375900/skypilotk8s/skypilot:latest`. To build this image locally and optionally push to the SkyPilot registry, run: @@ -18,10 +18,10 @@ To build this image locally and optionally push to the SkyPilot registry, run: ``` ## Running a local development cluster -We use (kind)[https://kind.sigs.k8s.io/] to run a local Kubernetes cluster +We use (kind)[https://kind.sigs.k8s.io/] to run a local Kubernetes cluster for development. To create a local development cluster, run: -```bash +```bash sky local up ``` @@ -50,7 +50,13 @@ curl --header "Content-Type: application/json-patch+json" \ ```bash PROJECT_ID=$(gcloud config get-value project) CLUSTER_NAME=testclusterromil - gcloud beta container --project "${PROJECT_ID}" clusters create "${CLUSTER_NAME}" --zone "us-central1-c" --no-enable-basic-auth --cluster-version "1.29.1-gke.1589020" --release-channel "regular" --machine-type "n1-standard-8" --accelerator "type=nvidia-tesla-t4,count=1" --image-type "COS_CONTAINERD" --disk-type "pd-balanced" --disk-size "100" --metadata disable-legacy-endpoints=true --scopes "https://www.googleapis.com/auth/devstorage.read_only","https://www.googleapis.com/auth/logging.write","https://www.googleapis.com/auth/monitoring","https://www.googleapis.com/auth/servicecontrol","https://www.googleapis.com/auth/service.management.readonly","https://www.googleapis.com/auth/trace.append" --num-nodes "2" --logging=SYSTEM,WORKLOAD --monitoring=SYSTEM --enable-ip-alias --network "projects/${PROJECT_ID}/global/networks/default" --subnetwork "projects/${PROJECT_ID}/regions/us-central1/subnetworks/default" --no-enable-intra-node-visibility --default-max-pods-per-node "110" --security-posture=standard --workload-vulnerability-scanning=disabled --no-enable-master-authorized-networks --addons HorizontalPodAutoscaling,HttpLoadBalancing,GcePersistentDiskCsiDriver --enable-autoupgrade --enable-autorepair --max-surge-upgrade 1 --max-unavailable-upgrade 0 --enable-managed-prometheus --enable-shielded-nodes --node-locations "us-central1-c" && gcloud beta container --project "${PROJECT_ID}" node-pools create "v100" --cluster "${CLUSTER_NAME}" --zone "us-central1-c" --machine-type "n1-standard-8" --accelerator "type=nvidia-tesla-v100,count=1" --image-type "COS_CONTAINERD" --disk-type "pd-balanced" --disk-size "100" --metadata disable-legacy-endpoints=true --scopes "https://www.googleapis.com/auth/devstorage.read_only","https://www.googleapis.com/auth/logging.write","https://www.googleapis.com/auth/monitoring","https://www.googleapis.com/auth/servicecontrol","https://www.googleapis.com/auth/service.management.readonly","https://www.googleapis.com/auth/trace.append" --num-nodes "2" --enable-autoupgrade --enable-autorepair --max-surge-upgrade 1 --max-unavailable-upgrade 0 --node-locations "us-central1-c" && gcloud beta container --project "${PROJECT_ID}" node-pools create "largecpu" --cluster "${CLUSTER_NAME}" --zone "us-central1-c" --machine-type "n1-standard-16" --image-type "COS_CONTAINERD" --disk-type "pd-balanced" --disk-size "100" --metadata disable-legacy-endpoints=true --scopes "https://www.googleapis.com/auth/devstorage.read_only","https://www.googleapis.com/auth/logging.write","https://www.googleapis.com/auth/monitoring","https://www.googleapis.com/auth/servicecontrol","https://www.googleapis.com/auth/service.management.readonly","https://www.googleapis.com/auth/trace.append" --num-nodes "2" --enable-autoupgrade --enable-autorepair --max-surge-upgrade 1 --max-unavailable-upgrade 0 --node-locations "us-central1-c" && gcloud beta container --project "${PROJECT_ID}" node-pools create "l4" --cluster "${CLUSTER_NAME}" --zone "us-central1-c" --machine-type "g2-standard-4" --accelerator "type=nvidia-l4,count=1" --image-type "COS_CONTAINERD" --disk-type "pd-balanced" --disk-size "100" --metadata disable-legacy-endpoints=true --scopes "https://www.googleapis.com/auth/devstorage.read_only","https://www.googleapis.com/auth/logging.write","https://www.googleapis.com/auth/monitoring","https://www.googleapis.com/auth/servicecontrol","https://www.googleapis.com/auth/service.management.readonly","https://www.googleapis.com/auth/trace.append" --num-nodes "2" --enable-autoupgrade --enable-autorepair --max-surge-upgrade 1 --max-unavailable-upgrade 0 --node-locations "us-central1-c" + REGION=us-central1-c + GKE_VERSION=$(gcloud container get-server-config \ + --region=${REGION} \ + --flatten=channels \ + --filter="channels.channel=REGULAR" \ + --format="value(channels.defaultVersion)") + gcloud beta container --project "${PROJECT_ID}" clusters create "${CLUSTER_NAME}" --zone "${REGION}" --no-enable-basic-auth --cluster-version "${GKE_VERSION}" --release-channel "regular" --machine-type "n1-standard-8" --accelerator "type=nvidia-tesla-t4,count=1" --image-type "COS_CONTAINERD" --disk-type "pd-balanced" --disk-size "100" --metadata disable-legacy-endpoints=true --scopes "https://www.googleapis.com/auth/devstorage.read_only","https://www.googleapis.com/auth/logging.write","https://www.googleapis.com/auth/monitoring","https://www.googleapis.com/auth/servicecontrol","https://www.googleapis.com/auth/service.management.readonly","https://www.googleapis.com/auth/trace.append" --num-nodes "2" --logging=SYSTEM,WORKLOAD --monitoring=SYSTEM --enable-ip-alias --network "projects/${PROJECT_ID}/global/networks/default" --subnetwork "projects/${PROJECT_ID}/regions/${REGION%-*}/subnetworks/default" --no-enable-intra-node-visibility --default-max-pods-per-node "110" --security-posture=standard --workload-vulnerability-scanning=disabled --no-enable-master-authorized-networks --addons HorizontalPodAutoscaling,HttpLoadBalancing,GcePersistentDiskCsiDriver --enable-autoupgrade --enable-autorepair --max-surge-upgrade 1 --max-unavailable-upgrade 0 --enable-managed-prometheus --enable-shielded-nodes --node-locations "${REGION}" && gcloud beta container --project "${PROJECT_ID}" node-pools create "v100" --cluster "${CLUSTER_NAME}" --zone "${REGION}" --machine-type "n1-standard-8" --accelerator "type=nvidia-tesla-v100,count=1" --image-type "COS_CONTAINERD" --disk-type "pd-balanced" --disk-size "100" --metadata disable-legacy-endpoints=true --scopes "https://www.googleapis.com/auth/devstorage.read_only","https://www.googleapis.com/auth/logging.write","https://www.googleapis.com/auth/monitoring","https://www.googleapis.com/auth/servicecontrol","https://www.googleapis.com/auth/service.management.readonly","https://www.googleapis.com/auth/trace.append" --num-nodes "2" --enable-autoupgrade --enable-autorepair --max-surge-upgrade 1 --max-unavailable-upgrade 0 --node-locations "${REGION}" && gcloud beta container --project "${PROJECT_ID}" node-pools create "largecpu" --cluster "${CLUSTER_NAME}" --zone "${REGION}" --machine-type "n1-standard-16" --image-type "COS_CONTAINERD" --disk-type "pd-balanced" --disk-size "100" --metadata disable-legacy-endpoints=true --scopes "https://www.googleapis.com/auth/devstorage.read_only","https://www.googleapis.com/auth/logging.write","https://www.googleapis.com/auth/monitoring","https://www.googleapis.com/auth/servicecontrol","https://www.googleapis.com/auth/service.management.readonly","https://www.googleapis.com/auth/trace.append" --num-nodes "2" --enable-autoupgrade --enable-autorepair --max-surge-upgrade 1 --max-unavailable-upgrade 0 --node-locations "${REGION}" && gcloud beta container --project "${PROJECT_ID}" node-pools create "l4" --cluster "${CLUSTER_NAME}" --zone "${REGION}" --machine-type "g2-standard-4" --accelerator "type=nvidia-l4,count=1" --image-type "COS_CONTAINERD" --disk-type "pd-balanced" --disk-size "100" --metadata disable-legacy-endpoints=true --scopes "https://www.googleapis.com/auth/devstorage.read_only","https://www.googleapis.com/auth/logging.write","https://www.googleapis.com/auth/monitoring","https://www.googleapis.com/auth/servicecontrol","https://www.googleapis.com/auth/service.management.readonly","https://www.googleapis.com/auth/trace.append" --num-nodes "2" --enable-autoupgrade --enable-autorepair --max-surge-upgrade 1 --max-unavailable-upgrade 0 --node-locations "${REGION}" ``` 2. Get the kubeconfig for your cluster and place it in `~/.kube/config`: ```bash @@ -65,7 +71,7 @@ curl --header "Content-Type: application/json-patch+json" \ kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/nvidia-driver-installer/cos/daemonset-preloaded.yaml kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/nvidia-driver-installer/cos/daemonset-preloaded-latest.yaml - + # If using Ubuntu based nodes: kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/nvidia-driver-installer/ubuntu/daemonset-preloaded.yaml @@ -123,6 +129,6 @@ NOTE - If are using nodeport networking, make sure port 32100 is open in your no NOTE - If are using nodeport networking, make sure port 32100 is open in your EKS cluster's default security group. ## Other useful scripts -`scripts` directory contains other useful scripts for development, including -Kubernetes dashboard, ray yaml for testing the SkyPilot Kubernetes node provider +`scripts` directory contains other useful scripts for development, including +Kubernetes dashboard, ray yaml for testing the SkyPilot Kubernetes node provider and more. From 747382a7cf75c691c91846efe708ce25b2a3aeb8 Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Tue, 3 Dec 2024 15:11:55 +0530 Subject: [PATCH 125/152] [k8s] Fix `show-gpus` availability map when nvidia drivers are not installed (#4429) * Fix availability map * Fix availability map --- sky/clouds/service_catalog/kubernetes_catalog.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/sky/clouds/service_catalog/kubernetes_catalog.py b/sky/clouds/service_catalog/kubernetes_catalog.py index 1d0c97c0442..2c7eafc20e5 100644 --- a/sky/clouds/service_catalog/kubernetes_catalog.py +++ b/sky/clouds/service_catalog/kubernetes_catalog.py @@ -239,13 +239,12 @@ def _list_accelerators( accelerators_available = accelerator_count - allocated_qty - if accelerator_name not in total_accelerators_available: - total_accelerators_available[accelerator_name] = 0 if accelerators_available >= min_quantity_filter: quantized_availability = min_quantity_filter * ( accelerators_available // min_quantity_filter) - total_accelerators_available[ - accelerator_name] += quantized_availability + total_accelerators_available[accelerator_name] = ( + total_accelerators_available.get(accelerator_name, 0) + + quantized_availability) result = [] From 6f96e7a451714dd9180156df393b2cf8a10e5c1f Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Tue, 3 Dec 2024 11:01:10 -0800 Subject: [PATCH 126/152] avoid catching ValueError during failover (#4432) * avoid catching ValueError during failover If the cloud api raises ValueError or a subclass of ValueError during instance termination, we will assume the cluster was downed. Fix this by introducing a new exception ClusterDoesNotExist that we can catch instead of the more general ValueError. * add unit test * lint --- sky/backends/backend_utils.py | 9 ++-- sky/core.py | 43 +++++++++++-------- sky/exceptions.py | 7 ++++ sky/execution.py | 5 ++- sky/jobs/recovery_strategy.py | 3 +- tests/unit_tests/test_recovery_strategy.py | 48 ++++++++++++++++++++++ 6 files changed, 90 insertions(+), 25 deletions(-) create mode 100644 tests/unit_tests/test_recovery_strategy.py diff --git a/sky/backends/backend_utils.py b/sky/backends/backend_utils.py index a116681da1b..9c56546234a 100644 --- a/sky/backends/backend_utils.py +++ b/sky/backends/backend_utils.py @@ -1612,14 +1612,14 @@ def check_can_clone_disk_and_override_task( The task to use and the resource handle of the source cluster. Raises: - ValueError: If the source cluster does not exist. + exceptions.ClusterDoesNotExist: If the source cluster does not exist. exceptions.NotSupportedError: If the source cluster is not valid or the task is not compatible to clone disk from the source cluster. """ source_cluster_status, handle = refresh_cluster_status_handle(cluster_name) if source_cluster_status is None: with ux_utils.print_exception_no_traceback(): - raise ValueError( + raise exceptions.ClusterDoesNotExist( f'Cannot find cluster {cluster_name!r} to clone disk from.') if not isinstance(handle, backends.CloudVmRayResourceHandle): @@ -2136,7 +2136,7 @@ def check_cluster_available( """Check if the cluster is available. Raises: - ValueError: if the cluster does not exist. + exceptions.ClusterDoesNotExist: if the cluster does not exist. exceptions.ClusterNotUpError: if the cluster is not UP. exceptions.NotSupportedError: if the cluster is not based on CloudVmRayBackend. @@ -2201,7 +2201,8 @@ def check_cluster_available( error_msg += message with ux_utils.print_exception_no_traceback(): - raise ValueError(f'{colorama.Fore.YELLOW}{error_msg}{reset}') + raise exceptions.ClusterDoesNotExist( + f'{colorama.Fore.YELLOW}{error_msg}{reset}') assert cluster_status is not None, 'handle is not None but status is None' backend = get_backend_from_handle(handle) if check_cloud_vm_ray_backend and not isinstance( diff --git a/sky/core.py b/sky/core.py index 4bb12f4a21a..9f1288d7fb6 100644 --- a/sky/core.py +++ b/sky/core.py @@ -268,7 +268,8 @@ def _start( cluster_status, handle = backend_utils.refresh_cluster_status_handle( cluster_name) if handle is None: - raise ValueError(f'Cluster {cluster_name!r} does not exist.') + raise exceptions.ClusterDoesNotExist( + f'Cluster {cluster_name!r} does not exist.') if not force and cluster_status == status_lib.ClusterStatus.UP: sky_logging.print(f'Cluster {cluster_name!r} is already up.') return handle @@ -359,12 +360,13 @@ def start( Useful for upgrading SkyPilot runtime. Raises: - ValueError: argument values are invalid: (1) the specified cluster does - not exist; (2) if ``down`` is set to True but - ``idle_minutes_to_autostop`` is None; (3) if the specified cluster is - the managed jobs controller, and either ``idle_minutes_to_autostop`` - is not None or ``down`` is True (omit them to use the default - autostop settings). + ValueError: argument values are invalid: (1) if ``down`` is set to True + but ``idle_minutes_to_autostop`` is None; (2) if the specified + cluster is the managed jobs controller, and either + ``idle_minutes_to_autostop`` is not None or ``down`` is True (omit + them to use the default autostop settings). + sky.exceptions.ClusterDoesNotExist: the specified cluster does not + exist. sky.exceptions.NotSupportedError: if the cluster to restart was launched using a non-default backend that does not support this operation. @@ -412,7 +414,8 @@ def stop(cluster_name: str, purge: bool = False) -> None: related resources. Raises: - ValueError: the specified cluster does not exist. + sky.exceptions.ClusterDoesNotExist: the specified cluster does not + exist. RuntimeError: failed to stop the cluster. sky.exceptions.NotSupportedError: if the specified cluster is a spot cluster, or a TPU VM Pod cluster, or the managed jobs controller. @@ -423,7 +426,8 @@ def stop(cluster_name: str, purge: bool = False) -> None: f'is not supported.') handle = global_user_state.get_handle_from_cluster_name(cluster_name) if handle is None: - raise ValueError(f'Cluster {cluster_name!r} does not exist.') + raise exceptions.ClusterDoesNotExist( + f'Cluster {cluster_name!r} does not exist.') backend = backend_utils.get_backend_from_handle(handle) @@ -467,14 +471,16 @@ def down(cluster_name: str, purge: bool = False) -> None: resources. Raises: - ValueError: the specified cluster does not exist. + sky.exceptions.ClusterDoesNotExist: the specified cluster does not + exist. RuntimeError: failed to tear down the cluster. sky.exceptions.NotSupportedError: the specified cluster is the managed jobs controller. """ handle = global_user_state.get_handle_from_cluster_name(cluster_name) if handle is None: - raise ValueError(f'Cluster {cluster_name!r} does not exist.') + raise exceptions.ClusterDoesNotExist( + f'Cluster {cluster_name!r} does not exist.') usage_lib.record_cluster_name_for_current_operation(cluster_name) backend = backend_utils.get_backend_from_handle(handle) @@ -521,7 +527,7 @@ def autostop( rather than autostop (restartable). Raises: - ValueError: if the cluster does not exist. + sky.exceptions.ClusterDoesNotExist: if the cluster does not exist. sky.exceptions.ClusterNotUpError: if the cluster is not UP. sky.exceptions.NotSupportedError: if the cluster is not based on CloudVmRayBackend or the cluster is TPU VM Pod. @@ -615,7 +621,7 @@ def queue(cluster_name: str, } ] raises: - ValueError: if the cluster does not exist. + sky.exceptions.ClusterDoesNotExist: if the cluster does not exist. sky.exceptions.ClusterNotUpError: if the cluster is not UP. sky.exceptions.NotSupportedError: if the cluster is not based on CloudVmRayBackend. @@ -674,7 +680,8 @@ def cancel( worker node is preempted in the spot cluster. Raises: - ValueError: if arguments are invalid, or the cluster does not exist. + ValueError: if arguments are invalid. + sky.exceptions.ClusterDoesNotExist: if the cluster does not exist. sky.exceptions.ClusterNotUpError: if the cluster is not UP. sky.exceptions.NotSupportedError: if the specified cluster is a controller that does not support this operation. @@ -750,8 +757,8 @@ def tail_logs(cluster_name: str, Please refer to the sky.cli.tail_logs for the document. Raises: - ValueError: arguments are invalid or the cluster is not supported or - the cluster does not exist. + ValueError: if arguments are invalid or the cluster is not supported. + sky.exceptions.ClusterDoesNotExist: if the cluster does not exist. sky.exceptions.ClusterNotUpError: if the cluster is not UP. sky.exceptions.NotSupportedError: if the cluster is not based on CloudVmRayBackend. @@ -793,7 +800,7 @@ def download_logs( Returns: Dict[str, str]: a mapping of job_id to local log path. Raises: - ValueError: if the cluster does not exist. + sky.exceptions.ClusterDoesNotExist: if the cluster does not exist. sky.exceptions.ClusterNotUpError: if the cluster is not UP. sky.exceptions.NotSupportedError: if the cluster is not based on CloudVmRayBackend. @@ -838,7 +845,7 @@ def job_status(cluster_name: str, If job_ids is None and there is no job on the cluster, it will return {None: None}. Raises: - ValueError: if the cluster does not exist. + sky.exceptions.ClusterDoesNotExist: if the cluster does not exist. sky.exceptions.ClusterNotUpError: if the cluster is not UP. sky.exceptions.NotSupportedError: if the cluster is not based on CloudVmRayBackend. diff --git a/sky/exceptions.py b/sky/exceptions.py index c1ade2eb02a..40d2b4d867b 100644 --- a/sky/exceptions.py +++ b/sky/exceptions.py @@ -132,6 +132,13 @@ class ClusterSetUpError(Exception): pass +class ClusterDoesNotExist(ValueError): + """Raise when trying to operate on a cluster that does not exist.""" + # This extends ValueError for compatibility reasons - we used to throw + # ValueError instead of this. + pass + + class NotSupportedError(Exception): """Raised when a feature is not supported.""" pass diff --git a/sky/execution.py b/sky/execution.py index 963e0356753..103dcf5ee83 100644 --- a/sky/execution.py +++ b/sky/execution.py @@ -581,8 +581,9 @@ def exec( # pylint: disable=redefined-builtin submitted. Raises: - ValueError: if the specified cluster does not exist or is not in UP - status. + ValueError: if the specified cluster is not in UP status. + sky.exceptions.ClusterDoesNotExist: if the specified cluster does not + exist. sky.exceptions.NotSupportedError: if the specified cluster is a controller that does not support this operation. diff --git a/sky/jobs/recovery_strategy.py b/sky/jobs/recovery_strategy.py index 09e4bd8ed6e..4fda1a07e08 100644 --- a/sky/jobs/recovery_strategy.py +++ b/sky/jobs/recovery_strategy.py @@ -50,8 +50,9 @@ def terminate_cluster(cluster_name: str, max_retry: int = 3) -> None: usage_lib.messages.usage.set_internal() sky.down(cluster_name) return - except ValueError: + except exceptions.ClusterDoesNotExist: # The cluster is already down. + logger.debug(f'The cluster {cluster_name} is already down.') return except Exception as e: # pylint: disable=broad-except retry_cnt += 1 diff --git a/tests/unit_tests/test_recovery_strategy.py b/tests/unit_tests/test_recovery_strategy.py new file mode 100644 index 00000000000..da8e8142da0 --- /dev/null +++ b/tests/unit_tests/test_recovery_strategy.py @@ -0,0 +1,48 @@ +from unittest import mock + +from sky.exceptions import ClusterDoesNotExist +from sky.jobs import recovery_strategy + + +@mock.patch('sky.down') +@mock.patch('sky.usage.usage_lib.messages.usage.set_internal') +def test_terminate_cluster_retry_on_value_error(mock_set_internal, + mock_sky_down) -> None: + # Set up mock to fail twice with ValueError, then succeed + mock_sky_down.side_effect = [ + ValueError('Mock error 1'), + ValueError('Mock error 2'), + None, + ] + + # Call should succeed after retries + recovery_strategy.terminate_cluster('test-cluster') + + # Verify sky.down was called 3 times + assert mock_sky_down.call_count == 3 + mock_sky_down.assert_has_calls([ + mock.call('test-cluster'), + mock.call('test-cluster'), + mock.call('test-cluster'), + ]) + + # Verify usage.set_internal was called before each sky.down + assert mock_set_internal.call_count == 3 + + +@mock.patch('sky.down') +@mock.patch('sky.usage.usage_lib.messages.usage.set_internal') +def test_terminate_cluster_handles_nonexistent_cluster(mock_set_internal, + mock_sky_down) -> None: + # Set up mock to raise ClusterDoesNotExist + mock_sky_down.side_effect = ClusterDoesNotExist('test-cluster') + + # Call should succeed silently + recovery_strategy.terminate_cluster('test-cluster') + + # Verify sky.down was called once + assert mock_sky_down.call_count == 1 + mock_sky_down.assert_called_once_with('test-cluster') + + # Verify usage.set_internal was called once + assert mock_set_internal.call_count == 1 From c3c1fde7172258265951392aa962b310a02c1a78 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Tue, 3 Dec 2024 11:48:04 -0800 Subject: [PATCH 127/152] [Core] Execute setup when `--detach-setup` and no `run` section (#4430) * Execute setup when --detach-setup and no run section * Update sky/backends/cloud_vm_ray_backend.py Co-authored-by: Tian Xia * add comments * Fix types * format * minor * Add test for detach setup only --------- Co-authored-by: Tian Xia --- sky/__init__.py | 2 + sky/backends/cloud_vm_ray_backend.py | 34 ++++-- tests/test_smoke.py | 150 ++++++++++++++------------ tests/test_yamls/test_only_setup.yaml | 2 + 4 files changed, 112 insertions(+), 76 deletions(-) create mode 100644 tests/test_yamls/test_only_setup.yaml diff --git a/sky/__init__.py b/sky/__init__.py index b851775dabf..4e720d63ce0 100644 --- a/sky/__init__.py +++ b/sky/__init__.py @@ -105,6 +105,7 @@ def set_proxy_env_var(proxy_var: str, urllib_var: Optional[str]): from sky.data import StoreType from sky.execution import exec # pylint: disable=redefined-builtin from sky.execution import launch +from sky.jobs import ManagedJobStatus # TODO (zhwu): These imports are for backward compatibility, and spot APIs # should be called with `sky.spot.xxx` instead. Remove in release 0.8.0 from sky.jobs.core import spot_cancel @@ -163,6 +164,7 @@ def set_proxy_env_var(proxy_var: str, urllib_var: Optional[str]): 'StoreType', 'ClusterStatus', 'JobStatus', + 'ManagedJobStatus', # APIs 'Dag', 'Task', diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index 5682cf24586..d73b7f54b8d 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -301,6 +301,8 @@ def add_prologue(self, job_id: int) -> None: ) def get_or_fail(futures, pg) -> List[int]: \"\"\"Wait for tasks, if any fails, cancel all unready.\"\"\" + if not futures: + return [] returncodes = [1] * len(futures) # Wait for 1 task to be ready. ready = [] @@ -3460,15 +3462,33 @@ def _execute( Returns: Job id if the task is submitted to the cluster, None otherwise. """ - if task.run is None: + if task.run is None and self._setup_cmd is None: + # This message is fine without mentioning setup, as there are three + # cases when run section is empty: + # 1. setup specified, no --detach-setup: setup is executed and this + # message is fine for saying no run command specified. + # 2. setup specified, with --detach-setup: setup is executed in + # detached mode and this message will not be shown. + # 3. no setup specified: this message is fine as a user is likely + # creating a cluster only, and ok with the empty run command. logger.info('Run commands not specified or empty.') return None - # Check the task resources vs the cluster resources. Since `sky exec` - # will not run the provision and _check_existing_cluster - # We need to check ports here since sky.exec shouldn't change resources - valid_resource = self.check_resources_fit_cluster(handle, - task, - check_ports=True) + if task.run is None: + # If the task has no run command, we still need to execute the + # generated ray driver program to run the setup command in detached + # mode. + # In this case, we reset the resources for the task, so that the + # detached setup does not need to wait for the task resources to be + # ready (which is not used for setup anyway). + valid_resource = sky.Resources() + else: + # Check the task resources vs the cluster resources. Since + # `sky exec` will not run the provision and _check_existing_cluster + # We need to check ports here since sky.exec shouldn't change + # resources. + valid_resource = self.check_resources_fit_cluster(handle, + task, + check_ports=True) task_copy = copy.copy(task) # Handle multiple resources exec case. task_copy.set_resources(valid_resource) diff --git a/tests/test_smoke.py b/tests/test_smoke.py index 574dae21ea0..26f7ba73ef9 100644 --- a/tests/test_smoke.py +++ b/tests/test_smoke.py @@ -59,11 +59,8 @@ from sky.data import data_utils from sky.data import storage as storage_lib from sky.data.data_utils import Rclone -from sky.jobs.state import ManagedJobStatus from sky.skylet import constants from sky.skylet import events -from sky.skylet.job_lib import JobStatus -from sky.status_lib import ClusterStatus from sky.utils import common_utils from sky.utils import resources_utils from sky.utils import subprocess_utils @@ -100,10 +97,10 @@ 'echo "Waiting for job to stop RUNNING"; echo "$s"; done') # Cluster functions -_ALL_JOB_STATUSES = "|".join([status.value for status in JobStatus]) -_ALL_CLUSTER_STATUSES = "|".join([status.value for status in ClusterStatus]) +_ALL_JOB_STATUSES = "|".join([status.value for status in sky.JobStatus]) +_ALL_CLUSTER_STATUSES = "|".join([status.value for status in sky.ClusterStatus]) _ALL_MANAGED_JOB_STATUSES = "|".join( - [status.value for status in ManagedJobStatus]) + [status.value for status in sky.ManagedJobStatus]) def _statuses_to_str(statuses: List[enum.Enum]): @@ -135,7 +132,8 @@ def _statuses_to_str(statuses: List[enum.Enum]): def _get_cmd_wait_until_cluster_status_contains( - cluster_name: str, cluster_status: List[ClusterStatus], timeout: int): + cluster_name: str, cluster_status: List[sky.ClusterStatus], + timeout: int): return _WAIT_UNTIL_CLUSTER_STATUS_CONTAINS.format( cluster_name=cluster_name, cluster_status=_statuses_to_str(cluster_status), @@ -143,7 +141,7 @@ def _get_cmd_wait_until_cluster_status_contains( def _get_cmd_wait_until_cluster_status_contains_wildcard( - cluster_name_wildcard: str, cluster_status: List[ClusterStatus], + cluster_name_wildcard: str, cluster_status: List[sky.ClusterStatus], timeout: int): wait_cmd = _WAIT_UNTIL_CLUSTER_STATUS_CONTAINS.replace( 'sky status {cluster_name}', @@ -209,7 +207,7 @@ def _get_cmd_wait_until_cluster_is_not_found(cluster_name: str, timeout: int): def _get_cmd_wait_until_job_status_contains_matching_job_id( - cluster_name: str, job_id: str, job_status: List[JobStatus], + cluster_name: str, job_id: str, job_status: List[sky.JobStatus], timeout: int): return _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_ID.format( cluster_name=cluster_name, @@ -219,7 +217,7 @@ def _get_cmd_wait_until_job_status_contains_matching_job_id( def _get_cmd_wait_until_job_status_contains_without_matching_job( - cluster_name: str, job_status: List[JobStatus], timeout: int): + cluster_name: str, job_status: List[sky.JobStatus], timeout: int): return _WAIT_UNTIL_JOB_STATUS_CONTAINS_WITHOUT_MATCHING_JOB.format( cluster_name=cluster_name, job_status=_statuses_to_str(job_status), @@ -227,7 +225,7 @@ def _get_cmd_wait_until_job_status_contains_without_matching_job( def _get_cmd_wait_until_job_status_contains_matching_job_name( - cluster_name: str, job_name: str, job_status: List[JobStatus], + cluster_name: str, job_name: str, job_status: List[sky.JobStatus], timeout: int): return _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.format( cluster_name=cluster_name, @@ -246,7 +244,7 @@ def _get_cmd_wait_until_job_status_contains_matching_job_name( def _get_cmd_wait_until_managed_job_status_contains_matching_job_name( - job_name: str, job_status: List[JobStatus], timeout: int): + job_name: str, job_status: List[sky.JobStatus], timeout: int): return _WAIT_UNTIL_MANAGED_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.format( job_name=job_name, job_status=_statuses_to_str(job_status), @@ -573,7 +571,7 @@ def test_launch_fast_with_autostop(generic_cloud: str): # Ensure cluster is stopped _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=[ClusterStatus.STOPPED], + cluster_status=[sky.ClusterStatus.STOPPED], timeout=autostop_timeout), # Even the cluster is stopped, cloud platform may take a while to # delete the VM. @@ -638,14 +636,15 @@ def test_aws_with_ssh_proxy_command(): # the job controller is not launched with proxy command. _get_cmd_wait_until_cluster_status_contains_wildcard( cluster_name_wildcard='sky-jobs-controller-*', - cluster_status=[ClusterStatus.UP], + cluster_status=[sky.ClusterStatus.UP], timeout=300), f'export SKYPILOT_CONFIG={f.name}; sky jobs launch -n {name} --cpus 2 --cloud aws --region us-east-1 -yd echo hi', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, job_status=[ - ManagedJobStatus.SUCCEEDED, ManagedJobStatus.RUNNING, - ManagedJobStatus.STARTING + sky.ManagedJobStatus.SUCCEEDED, + sky.ManagedJobStatus.RUNNING, + sky.ManagedJobStatus.STARTING ], timeout=300), ], @@ -1019,7 +1018,7 @@ def test_clone_disk_aws(): f'sky stop {name} -y', _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=[ClusterStatus.STOPPED], + cluster_status=[sky.ClusterStatus.STOPPED], timeout=60), # Wait for EC2 instance to be in stopped state. # TODO: event based wait. @@ -1139,7 +1138,7 @@ def test_custom_default_conda_env(generic_cloud: str): f'sky autostop -y -i 0 {name}', _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=[ClusterStatus.STOPPED], + cluster_status=[sky.ClusterStatus.STOPPED], timeout=80), f'sky start -y {name}', f'sky logs {name} 2 --no-follow | grep -E "myenv\\s+\\*"', @@ -1163,7 +1162,7 @@ def test_stale_job(generic_cloud: str): f'sky stop {name} -y', _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=[ClusterStatus.STOPPED], + cluster_status=[sky.ClusterStatus.STOPPED], timeout=100), f'sky start {name} -y', f'sky logs {name} 1 --status', @@ -1194,7 +1193,7 @@ def test_aws_stale_job_manual_restart(): '--instance-ids $id', _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=[ClusterStatus.STOPPED], + cluster_status=[sky.ClusterStatus.STOPPED], timeout=40), f'sky launch -c {name} -y "echo hi"', f'sky logs {name} 1 --status', @@ -1202,7 +1201,7 @@ def test_aws_stale_job_manual_restart(): # Ensure the skylet updated the stale job status. _get_cmd_wait_until_job_status_contains_without_matching_job( cluster_name=name, - job_status=[JobStatus.FAILED_DRIVER], + job_status=[sky.JobStatus.FAILED_DRIVER], timeout=events.JobSchedulerEvent.EVENT_INTERVAL_SECONDS), ], f'sky down -y {name}', @@ -1235,7 +1234,7 @@ def test_gcp_stale_job_manual_restart(): # Ensure the skylet updated the stale job status. _get_cmd_wait_until_job_status_contains_without_matching_job( cluster_name=name, - job_status=[JobStatus.FAILED_DRIVER], + job_status=[sky.JobStatus.FAILED_DRIVER], timeout=events.JobSchedulerEvent.EVENT_INTERVAL_SECONDS) ], f'sky down -y {name}', @@ -1254,6 +1253,10 @@ def test_env_check(generic_cloud: str): [ f'sky launch -y -c {name} --cloud {generic_cloud} --detach-setup examples/env_check.yaml', f'sky logs {name} 1 --status', # Ensure the job succeeded. + # Test --detach-setup with only setup. + f'sky launch -y -c {name} --detach-setup tests/test_yamls/test_only_setup.yaml', + f'sky logs {name} 2 --status', + f'sky logs {name} 2 | grep "hello world"', ], f'sky down -y {name}', timeout=total_timeout_minutes * 60, @@ -2059,7 +2062,7 @@ def test_multi_echo(generic_cloud: str): _get_cmd_wait_until_job_status_contains_matching_job_id( cluster_name=name, job_id=i + 1, - job_status=[JobStatus.SUCCEEDED], + job_status=[sky.JobStatus.SUCCEEDED], timeout=120) for i in range(32) ] + # Ensure monitor/autoscaler didn't crash on the 'assert not @@ -2635,14 +2638,16 @@ def test_gcp_start_stop(): f'sky stop -y {name}', _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=[ClusterStatus.STOPPED], + cluster_status=[sky.ClusterStatus.STOPPED], timeout=40), f'sky start -y {name} -i 1', f'sky exec {name} examples/gcp_start_stop.yaml', f'sky logs {name} 4 --status', # Ensure the job succeeded. _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=[ClusterStatus.STOPPED, ClusterStatus.INIT], + cluster_status=[ + sky.ClusterStatus.STOPPED, sky.ClusterStatus.INIT + ], timeout=200), ], f'sky down -y {name}', @@ -2668,7 +2673,9 @@ def test_azure_start_stop(): f'sky logs {name} 3 --status', # Ensure the job succeeded. _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=[ClusterStatus.STOPPED, ClusterStatus.INIT], + cluster_status=[ + sky.ClusterStatus.STOPPED, sky.ClusterStatus.INIT + ], timeout=280) + f'|| {{ ssh {name} "cat ~/.sky/skylet.log"; exit 1; }}', ], @@ -2708,7 +2715,7 @@ def test_autostop(generic_cloud: str): # Ensure the cluster is STOPPED. _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=[ClusterStatus.STOPPED], + cluster_status=[sky.ClusterStatus.STOPPED], timeout=autostop_timeout), # Ensure the cluster is UP and the autostop setting is reset ('-'). @@ -2727,7 +2734,7 @@ def test_autostop(generic_cloud: str): f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep UP', _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=[ClusterStatus.STOPPED], + cluster_status=[sky.ClusterStatus.STOPPED], timeout=autostop_timeout), # Test restarting the idleness timer via exec: @@ -2739,7 +2746,7 @@ def test_autostop(generic_cloud: str): 'sleep 45', _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=[ClusterStatus.STOPPED], + cluster_status=[sky.ClusterStatus.STOPPED], timeout=autostop_timeout + _BUMP_UP_SECONDS), ], f'sky down -y {name}', @@ -2959,7 +2966,7 @@ def test_stop_gcp_spot(): f'sky autostop {name} -i0 -y', _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=[ClusterStatus.STOPPED], + cluster_status=[sky.ClusterStatus.STOPPED], timeout=90), f'sky start {name} -y', f'sky exec {name} -- ls myfile', @@ -2968,7 +2975,7 @@ def test_stop_gcp_spot(): f'sky launch -c {name} -i0 -y', _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=[ClusterStatus.STOPPED], + cluster_status=[sky.ClusterStatus.STOPPED], timeout=120), ], f'sky down -y {name}', @@ -2992,21 +2999,23 @@ def test_managed_jobs(generic_cloud: str): _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=f'{name}-1', job_status=[ - ManagedJobStatus.PENDING, ManagedJobStatus.SUBMITTED, - ManagedJobStatus.STARTING, ManagedJobStatus.RUNNING + sky.ManagedJobStatus.PENDING, + sky.ManagedJobStatus.SUBMITTED, + sky.ManagedJobStatus.STARTING, sky.ManagedJobStatus.RUNNING ], timeout=60), _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=f'{name}-2', job_status=[ - ManagedJobStatus.PENDING, ManagedJobStatus.SUBMITTED, - ManagedJobStatus.STARTING, ManagedJobStatus.RUNNING + sky.ManagedJobStatus.PENDING, + sky.ManagedJobStatus.SUBMITTED, + sky.ManagedJobStatus.STARTING, sky.ManagedJobStatus.RUNNING ], timeout=60), f'sky jobs cancel -y -n {name}-1', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=f'{name}-1', - job_status=[ManagedJobStatus.CANCELLED], + job_status=[sky.ManagedJobStatus.CANCELLED], timeout=230), # Test the functionality for logging. f's=$(sky jobs logs -n {name}-2 --no-follow); echo "$s"; echo "$s" | grep "start counting"', @@ -3080,7 +3089,7 @@ def test_managed_jobs_failed_setup(generic_cloud: str): # Make sure the job failed quickly. _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.FAILED_SETUP], + job_status=[sky.ManagedJobStatus.FAILED_SETUP], timeout=330 + _BUMP_UP_SECONDS), ], f'sky jobs cancel -y -n {name}', @@ -3106,7 +3115,7 @@ def test_managed_jobs_pipeline_failed_setup(generic_cloud: str): f'sky jobs launch -n {name} -y -d tests/test_yamls/failed_setup_pipeline.yaml', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.FAILED_SETUP], + job_status=[sky.ManagedJobStatus.FAILED_SETUP], timeout=600), # Make sure the job failed quickly. f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "FAILED_SETUP"', @@ -3143,7 +3152,7 @@ def test_managed_jobs_recovery_aws(aws_config_region): f'sky jobs launch --cloud aws --region {region} --use-spot -n {name} "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.RUNNING], + job_status=[sky.ManagedJobStatus.RUNNING], timeout=600), f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', # Terminate the cluster manually. @@ -3156,7 +3165,7 @@ def test_managed_jobs_recovery_aws(aws_config_region): f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.RUNNING], + job_status=[sky.ManagedJobStatus.RUNNING], timeout=200), f'RUN_ID=$(cat /tmp/{name}-run-id); echo "$RUN_ID"; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | grep "$RUN_ID"', ], @@ -3187,7 +3196,7 @@ def test_managed_jobs_recovery_gcp(): f'sky jobs launch --cloud gcp --zone {zone} -n {name} --use-spot --cpus 2 "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.RUNNING], + job_status=[sky.ManagedJobStatus.RUNNING], timeout=300), f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', # Terminate the cluster manually. @@ -3196,7 +3205,7 @@ def test_managed_jobs_recovery_gcp(): f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.RUNNING], + job_status=[sky.ManagedJobStatus.RUNNING], timeout=200), f'RUN_ID=$(cat /tmp/{name}-run-id); echo "$RUN_ID"; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | grep "$RUN_ID"', ], @@ -3222,7 +3231,7 @@ def test_managed_jobs_pipeline_recovery_aws(aws_config_region): f'sky jobs launch -n {name} tests/test_yamls/pipeline_aws.yaml -y -d', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.RUNNING], + job_status=[sky.ManagedJobStatus.RUNNING], timeout=400), f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids', @@ -3244,7 +3253,7 @@ def test_managed_jobs_pipeline_recovery_aws(aws_config_region): f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.RUNNING], + job_status=[sky.ManagedJobStatus.RUNNING], timeout=200), f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | grep "$RUN_ID"', f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids-new', @@ -3277,7 +3286,7 @@ def test_managed_jobs_pipeline_recovery_gcp(): f'sky jobs launch -n {name} tests/test_yamls/pipeline_gcp.yaml -y -d', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.RUNNING], + job_status=[sky.ManagedJobStatus.RUNNING], timeout=400), f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids', @@ -3291,7 +3300,7 @@ def test_managed_jobs_pipeline_recovery_gcp(): f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.RUNNING], + job_status=[sky.ManagedJobStatus.RUNNING], timeout=200), f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID: | grep "$RUN_ID"', f'RUN_IDS=$(sky jobs logs -n {name} --no-follow | grep -A 4 SKYPILOT_TASK_IDS | cut -d")" -f2); echo "$RUN_IDS" | tee /tmp/{name}-run-ids-new', @@ -3321,7 +3330,8 @@ def test_managed_jobs_recovery_default_resources(generic_cloud: str): _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, job_status=[ - ManagedJobStatus.RUNNING, ManagedJobStatus.RECOVERING + sky.ManagedJobStatus.RUNNING, + sky.ManagedJobStatus.RECOVERING ], timeout=360), ], @@ -3345,7 +3355,7 @@ def test_managed_jobs_recovery_multi_node_aws(aws_config_region): f'sky jobs launch --cloud aws --region {region} -n {name} --use-spot --num-nodes 2 "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.RUNNING], + job_status=[sky.ManagedJobStatus.RUNNING], timeout=450), f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', # Terminate the worker manually. @@ -3359,7 +3369,7 @@ def test_managed_jobs_recovery_multi_node_aws(aws_config_region): f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.RUNNING], + job_status=[sky.ManagedJobStatus.RUNNING], timeout=560), f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2 | grep "$RUN_ID"', ], @@ -3390,7 +3400,7 @@ def test_managed_jobs_recovery_multi_node_gcp(): f'sky jobs launch --cloud gcp --zone {zone} -n {name} --use-spot --num-nodes 2 "echo SKYPILOT_TASK_ID: \$SKYPILOT_TASK_ID; sleep 1800" -y -d', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.RUNNING], + job_status=[sky.ManagedJobStatus.RUNNING], timeout=400), f'RUN_ID=$(sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2); echo "$RUN_ID" | tee /tmp/{name}-run-id', # Terminate the worker manually. @@ -3399,7 +3409,7 @@ def test_managed_jobs_recovery_multi_node_gcp(): f'{_GET_JOB_QUEUE} | grep {name} | head -n1 | grep "RECOVERING"', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.RUNNING], + job_status=[sky.ManagedJobStatus.RUNNING], timeout=560), f'RUN_ID=$(cat /tmp/{name}-run-id); echo $RUN_ID; sky jobs logs -n {name} --no-follow | grep SKYPILOT_TASK_ID | cut -d: -f2 | grep "$RUN_ID"', ], @@ -3428,13 +3438,13 @@ def test_managed_jobs_cancellation_aws(aws_config_region): _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, job_status=[ - ManagedJobStatus.STARTING, ManagedJobStatus.RUNNING + sky.ManagedJobStatus.STARTING, sky.ManagedJobStatus.RUNNING ], timeout=60 + _BUMP_UP_SECONDS), f'sky jobs cancel -y -n {name}', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.CANCELLED], + job_status=[sky.ManagedJobStatus.CANCELLED], timeout=120 + _BUMP_UP_SECONDS), (f's=$(aws ec2 describe-instances --region {region} ' f'--filters Name=tag:ray-cluster-name,Values={name_on_cloud}-* ' @@ -3446,12 +3456,12 @@ def test_managed_jobs_cancellation_aws(aws_config_region): # The job is set up in the cluster, will shown as RUNNING. _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=f'{name}-2', - job_status=[ManagedJobStatus.RUNNING], + job_status=[sky.ManagedJobStatus.RUNNING], timeout=300 + _BUMP_UP_SECONDS), f'sky jobs cancel -y -n {name}-2', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=f'{name}-2', - job_status=[ManagedJobStatus.CANCELLED], + job_status=[sky.ManagedJobStatus.CANCELLED], timeout=120 + _BUMP_UP_SECONDS), (f's=$(aws ec2 describe-instances --region {region} ' f'--filters Name=tag:ray-cluster-name,Values={name_2_on_cloud}-* ' @@ -3463,7 +3473,7 @@ def test_managed_jobs_cancellation_aws(aws_config_region): # The job is running in the cluster, will shown as RUNNING. _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=f'{name}-3', - job_status=[ManagedJobStatus.RUNNING], + job_status=[sky.ManagedJobStatus.RUNNING], timeout=300 + _BUMP_UP_SECONDS), # Terminate the cluster manually. (f'aws ec2 terminate-instances --region {region} --instance-ids $(' @@ -3476,7 +3486,7 @@ def test_managed_jobs_cancellation_aws(aws_config_region): f'sky jobs cancel -y -n {name}-3', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=f'{name}-3', - job_status=[ManagedJobStatus.CANCELLED], + job_status=[sky.ManagedJobStatus.CANCELLED], timeout=120 + _BUMP_UP_SECONDS), # The cluster should be terminated (shutting-down) after cancellation. We don't use the `=` operator here because # there can be multiple VM with the same name due to the recovery. @@ -3514,30 +3524,30 @@ def test_managed_jobs_cancellation_gcp(): f'sky jobs launch --cloud gcp --zone {zone} -n {name} --use-spot "sleep 1000" -y -d', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.STARTING], + job_status=[sky.ManagedJobStatus.STARTING], timeout=60 + _BUMP_UP_SECONDS), f'sky jobs cancel -y -n {name}', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.CANCELLED], + job_status=[sky.ManagedJobStatus.CANCELLED], timeout=120 + _BUMP_UP_SECONDS), # Test cancelling the spot cluster during spot job being setup. f'sky jobs launch --cloud gcp --zone {zone} -n {name}-2 --use-spot tests/test_yamls/test_long_setup.yaml -y -d', # The job is set up in the cluster, will shown as RUNNING. _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=f'{name}-2', - job_status=[ManagedJobStatus.RUNNING], + job_status=[sky.ManagedJobStatus.RUNNING], timeout=300 + _BUMP_UP_SECONDS), f'sky jobs cancel -y -n {name}-2', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=f'{name}-2', - job_status=[ManagedJobStatus.CANCELLED], + job_status=[sky.ManagedJobStatus.CANCELLED], timeout=120 + _BUMP_UP_SECONDS), # Test cancellation during spot job is recovering. f'sky jobs launch --cloud gcp --zone {zone} -n {name}-3 --use-spot "sleep 1000" -y -d', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=f'{name}-3', - job_status=[ManagedJobStatus.RUNNING], + job_status=[sky.ManagedJobStatus.RUNNING], timeout=300 + _BUMP_UP_SECONDS), # Terminate the cluster manually. terminate_cmd, @@ -3546,7 +3556,7 @@ def test_managed_jobs_cancellation_gcp(): f'sky jobs cancel -y -n {name}-3', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=f'{name}-3', - job_status=[ManagedJobStatus.CANCELLED], + job_status=[sky.ManagedJobStatus.CANCELLED], timeout=120 + _BUMP_UP_SECONDS), # The cluster should be terminated (STOPPING) after cancellation. We don't use the `=` operator here because # there can be multiple VM with the same name due to the recovery. @@ -3639,7 +3649,7 @@ def test_managed_jobs_storage(generic_cloud: str): region_validation_cmd, # Check if the bucket is created in the correct region _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.SUCCEEDED], + job_status=[sky.ManagedJobStatus.SUCCEEDED], timeout=60 + _BUMP_UP_SECONDS), f'[ $(aws s3api list-buckets --query "Buckets[?contains(Name, \'{storage_name}\')].Name" --output text | wc -l) -eq 0 ]', # Check if file was written to the mounted output bucket @@ -3666,13 +3676,13 @@ def test_managed_jobs_tpu(): f'sky jobs launch -n {name} --use-spot examples/tpu/tpuvm_mnist.yaml -y -d', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.STARTING], + job_status=[sky.ManagedJobStatus.STARTING], timeout=60 + _BUMP_UP_SECONDS), # TPU takes a while to launch _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, job_status=[ - ManagedJobStatus.RUNNING, ManagedJobStatus.SUCCEEDED + sky.ManagedJobStatus.RUNNING, sky.ManagedJobStatus.SUCCEEDED ], timeout=900 + _BUMP_UP_SECONDS), ], @@ -3694,7 +3704,7 @@ def test_managed_jobs_inline_env(generic_cloud: str): f'sky jobs launch -n {name} -y --cloud {generic_cloud} --env TEST_ENV="hello world" -- "([[ ! -z \\"\$TEST_ENV\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_IPS}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_RANK}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NUM_NODES}\\" ]]) || exit 1"', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, - job_status=[ManagedJobStatus.SUCCEEDED], + job_status=[sky.ManagedJobStatus.SUCCEEDED], timeout=20 + _BUMP_UP_SECONDS), ], f'sky jobs cancel -y -n {name}', @@ -3804,7 +3814,9 @@ def test_azure_start_stop_two_nodes(): f'sky logs {name} 2 --status', # Ensure the job succeeded. _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=[ClusterStatus.INIT, ClusterStatus.STOPPED], + cluster_status=[ + sky.ClusterStatus.INIT, sky.ClusterStatus.STOPPED + ], timeout=200 + _BUMP_UP_SECONDS) + f'|| {{ ssh {name} "cat ~/.sky/skylet.log"; exit 1; }}' ], @@ -4818,7 +4830,7 @@ def test_core_api_sky_launch_fast(generic_cloud: str): # Sleep to let the cluster autostop _get_cmd_wait_until_cluster_status_contains( cluster_name=name, - cluster_status=[ClusterStatus.STOPPED], + cluster_status=[sky.ClusterStatus.STOPPED], timeout=120) # Run it again - should work with fast=True sky.launch(task, diff --git a/tests/test_yamls/test_only_setup.yaml b/tests/test_yamls/test_only_setup.yaml new file mode 100644 index 00000000000..245d2b1de69 --- /dev/null +++ b/tests/test_yamls/test_only_setup.yaml @@ -0,0 +1,2 @@ +setup: | + echo "hello world" From 2157f01b9afc6578deffdddbce36688a9c92d0f3 Mon Sep 17 00:00:00 2001 From: Zhanghao Wu Date: Tue, 3 Dec 2024 13:44:32 -0800 Subject: [PATCH 128/152] [Jobs] Allow logs for finished jobs and add `sky jobs logs --refresh` for restartin jobs controller (#4380) * Stream logs for finished jobs * Allow stream logs for finished jobs * Read files after the indicator lines * Add refresh for `sky jobs logs` * fix log message * address comments * Add smoke test * fix smoke * fix jobs queue smoke test * fix storage --- sky/cli.py | 13 ++++- sky/jobs/controller.py | 36 ++++++++++--- sky/jobs/core.py | 96 ++++++++++++++++++++++------------- sky/jobs/state.py | 34 ++++++++++++- sky/jobs/utils.py | 18 ++++++- sky/skylet/log_lib.py | 4 +- sky/skylet/log_lib.pyi | 3 ++ sky/utils/controller_utils.py | 13 ++++- tests/test_smoke.py | 12 ++++- 9 files changed, 177 insertions(+), 52 deletions(-) diff --git a/sky/cli.py b/sky/cli.py index 94474b30b6c..1faf0003ff9 100644 --- a/sky/cli.py +++ b/sky/cli.py @@ -3914,16 +3914,25 @@ def jobs_cancel(name: Optional[str], job_ids: Tuple[int], all: bool, yes: bool): default=False, help=('Show the controller logs of this job; useful for debugging ' 'launching/recoveries, etc.')) +@click.option( + '--refresh', + '-r', + default=False, + is_flag=True, + required=False, + help='Query the latest job logs, restarting the jobs controller if stopped.' +) @click.argument('job_id', required=False, type=int) @usage_lib.entrypoint def jobs_logs(name: Optional[str], job_id: Optional[int], follow: bool, - controller: bool): + controller: bool, refresh: bool): """Tail the log of a managed job.""" try: managed_jobs.tail_logs(name=name, job_id=job_id, follow=follow, - controller=controller) + controller=controller, + refresh=refresh) except exceptions.ClusterNotUpError: with ux_utils.print_exception_no_traceback(): raise diff --git a/sky/jobs/controller.py b/sky/jobs/controller.py index 5219c564500..72dce3e50d7 100644 --- a/sky/jobs/controller.py +++ b/sky/jobs/controller.py @@ -6,7 +6,7 @@ import time import traceback import typing -from typing import Tuple +from typing import Optional, Tuple import filelock @@ -87,18 +87,28 @@ def __init__(self, job_id: int, dag_yaml: str, task.update_envs(task_envs) def _download_log_and_stream( - self, - handle: cloud_vm_ray_backend.CloudVmRayResourceHandle) -> None: - """Downloads and streams the logs of the latest job. + self, task_id: Optional[int], + handle: Optional[cloud_vm_ray_backend.CloudVmRayResourceHandle] + ) -> None: + """Downloads and streams the logs of the current job with given task ID. We do not stream the logs from the cluster directly, as the donwload and stream should be faster, and more robust against preemptions or ssh disconnection during the streaming. """ + if handle is None: + logger.info(f'Cluster for job {self._job_id} is not found. ' + 'Skipping downloading and streaming the logs.') + return managed_job_logs_dir = os.path.join(constants.SKY_LOGS_DIRECTORY, 'managed_jobs') - controller_utils.download_and_stream_latest_job_log( + log_file = controller_utils.download_and_stream_latest_job_log( self._backend, handle, managed_job_logs_dir) + if log_file is not None: + # Set the path of the log file for the current task, so it can be + # accessed even after the job is finished + managed_job_state.set_local_log_file(self._job_id, task_id, + log_file) logger.info(f'\n== End of logs (ID: {self._job_id}) ==') def _run_one_task(self, task_id: int, task: 'sky.Task') -> bool: @@ -213,7 +223,8 @@ def _run_one_task(self, task_id: int, task: 'sky.Task') -> bool: if job_status == job_lib.JobStatus.SUCCEEDED: end_time = managed_job_utils.get_job_timestamp( self._backend, cluster_name, get_end_time=True) - # The job is done. + # The job is done. Set the job to SUCCEEDED first before start + # downloading and streaming the logs to make it more responsive. managed_job_state.set_succeeded(self._job_id, task_id, end_time=end_time, @@ -221,12 +232,21 @@ def _run_one_task(self, task_id: int, task: 'sky.Task') -> bool: logger.info( f'Managed job {self._job_id} (task: {task_id}) SUCCEEDED. ' f'Cleaning up the cluster {cluster_name}.') + clusters = backend_utils.get_clusters( + cluster_names=[cluster_name], + refresh=False, + include_controller=False) + if clusters: + assert len(clusters) == 1, (clusters, cluster_name) + handle = clusters[0].get('handle') + # Best effort to download and stream the logs. + self._download_log_and_stream(task_id, handle) # Only clean up the cluster, not the storages, because tasks may # share storages. recovery_strategy.terminate_cluster(cluster_name=cluster_name) return True - # For single-node jobs, nonterminated job_status indicates a + # For single-node jobs, non-terminated job_status indicates a # healthy cluster. We can safely continue monitoring. # For multi-node jobs, since the job may not be set to FAILED # immediately (depending on user program) when only some of the @@ -278,7 +298,7 @@ def _run_one_task(self, task_id: int, task: 'sky.Task') -> bool: 'The user job failed. Please check the logs below.\n' f'== Logs of the user job (ID: {self._job_id}) ==\n') - self._download_log_and_stream(handle) + self._download_log_and_stream(task_id, handle) managed_job_status = ( managed_job_state.ManagedJobStatus.FAILED) if job_status == job_lib.JobStatus.FAILED_SETUP: diff --git a/sky/jobs/core.py b/sky/jobs/core.py index f11a556f2d4..9cde3443816 100644 --- a/sky/jobs/core.py +++ b/sky/jobs/core.py @@ -1,6 +1,7 @@ """SDK functions for managed jobs.""" import os import tempfile +import typing from typing import Any, Dict, List, Optional, Union import uuid @@ -29,6 +30,9 @@ from sky.utils import timeline from sky.utils import ux_utils +if typing.TYPE_CHECKING: + from sky.backends import cloud_vm_ray_backend + @timeline.event @usage_lib.entrypoint @@ -225,6 +229,40 @@ def queue_from_kubernetes_pod( return jobs +def _maybe_restart_controller( + refresh: bool, stopped_message: str, spinner_message: str +) -> 'cloud_vm_ray_backend.CloudVmRayResourceHandle': + """Restart controller if refresh is True and it is stopped.""" + jobs_controller_type = controller_utils.Controllers.JOBS_CONTROLLER + if refresh: + stopped_message = '' + try: + handle = backend_utils.is_controller_accessible( + controller=jobs_controller_type, stopped_message=stopped_message) + except exceptions.ClusterNotUpError as e: + if not refresh: + raise + handle = None + controller_status = e.cluster_status + + if handle is not None: + return handle + + sky_logging.print(f'{colorama.Fore.YELLOW}' + f'Restarting {jobs_controller_type.value.name}...' + f'{colorama.Style.RESET_ALL}') + + rich_utils.force_update_status( + ux_utils.spinner_message(f'{spinner_message} - restarting ' + 'controller')) + handle = sky.start(jobs_controller_type.value.cluster_name) + controller_status = status_lib.ClusterStatus.UP + rich_utils.force_update_status(ux_utils.spinner_message(spinner_message)) + + assert handle is not None, (controller_status, refresh) + return handle + + @usage_lib.entrypoint def queue(refresh: bool, skip_finished: bool = False) -> List[Dict[str, Any]]: # NOTE(dev): Keep the docstring consistent between the Python API and CLI. @@ -252,34 +290,11 @@ def queue(refresh: bool, skip_finished: bool = False) -> List[Dict[str, Any]]: does not exist. RuntimeError: if failed to get the managed jobs with ssh. """ - jobs_controller_type = controller_utils.Controllers.JOBS_CONTROLLER - stopped_message = '' - if not refresh: - stopped_message = 'No in-progress managed jobs.' - try: - handle = backend_utils.is_controller_accessible( - controller=jobs_controller_type, stopped_message=stopped_message) - except exceptions.ClusterNotUpError as e: - if not refresh: - raise - handle = None - controller_status = e.cluster_status - - if refresh and handle is None: - sky_logging.print(f'{colorama.Fore.YELLOW}' - 'Restarting controller for latest status...' - f'{colorama.Style.RESET_ALL}') - - rich_utils.force_update_status( - ux_utils.spinner_message('Checking managed jobs - restarting ' - 'controller')) - handle = sky.start(jobs_controller_type.value.cluster_name) - controller_status = status_lib.ClusterStatus.UP - rich_utils.force_update_status( - ux_utils.spinner_message('Checking managed jobs')) - - assert handle is not None, (controller_status, refresh) - + handle = _maybe_restart_controller(refresh, + stopped_message='No in-progress ' + 'managed jobs.', + spinner_message='Checking ' + 'managed jobs') backend = backend_utils.get_backend_from_handle(handle) assert isinstance(backend, backends.CloudVmRayBackend) @@ -371,7 +386,7 @@ def cancel(name: Optional[str] = None, @usage_lib.entrypoint def tail_logs(name: Optional[str], job_id: Optional[int], follow: bool, - controller: bool) -> None: + controller: bool, refresh: bool) -> None: # NOTE(dev): Keep the docstring consistent between the Python API and CLI. """Tail logs of managed jobs. @@ -382,15 +397,26 @@ def tail_logs(name: Optional[str], job_id: Optional[int], follow: bool, sky.exceptions.ClusterNotUpError: the jobs controller is not up. """ # TODO(zhwu): Automatically restart the jobs controller + if name is not None and job_id is not None: + with ux_utils.print_exception_no_traceback(): + raise ValueError('Cannot specify both name and job_id.') + jobs_controller_type = controller_utils.Controllers.JOBS_CONTROLLER - handle = backend_utils.is_controller_accessible( - controller=jobs_controller_type, + job_name_or_id_str = '' + if job_id is not None: + job_name_or_id_str = str(job_id) + elif name is not None: + job_name_or_id_str = f'-n {name}' + else: + job_name_or_id_str = '' + handle = _maybe_restart_controller( + refresh, stopped_message=( - 'Please restart the jobs controller with ' - f'`sky start {jobs_controller_type.value.cluster_name}`.')) + f'{jobs_controller_type.value.name.capitalize()} is stopped. To ' + f'get the logs, run: {colorama.Style.BRIGHT}sky jobs logs ' + f'-r {job_name_or_id_str}{colorama.Style.RESET_ALL}'), + spinner_message='Retrieving job logs') - if name is not None and job_id is not None: - raise ValueError('Cannot specify both name and job_id.') backend = backend_utils.get_backend_from_handle(handle) assert isinstance(backend, backends.CloudVmRayBackend), backend diff --git a/sky/jobs/state.py b/sky/jobs/state.py index 6a0e3caeda3..9a5ab4b3cad 100644 --- a/sky/jobs/state.py +++ b/sky/jobs/state.py @@ -66,7 +66,8 @@ def create_table(cursor, conn): spot_job_id INTEGER, task_id INTEGER DEFAULT 0, task_name TEXT, - specs TEXT)""") + specs TEXT, + local_log_file TEXT DEFAULT NULL)""") conn.commit() db_utils.add_column_to_table(cursor, conn, 'spot', 'failure_reason', 'TEXT') @@ -103,6 +104,8 @@ def create_table(cursor, conn): value_to_replace_existing_entries=json.dumps({ 'max_restarts_on_errors': 0, })) + db_utils.add_column_to_table(cursor, conn, 'spot', 'local_log_file', + 'TEXT DEFAULT NULL') # `job_info` contains the mapping from job_id to the job_name. # In the future, it may contain more information about each job. @@ -157,6 +160,7 @@ def _get_db_path() -> str: 'task_id', 'task_name', 'specs', + 'local_log_file', # columns from the job_info table '_job_info_job_id', # This should be the same as job_id 'job_name', @@ -512,6 +516,20 @@ def set_cancelled(job_id: int, callback_func: CallbackType): callback_func('CANCELLED') +def set_local_log_file(job_id: int, task_id: Optional[int], + local_log_file: str): + """Set the local log file for a job.""" + filter_str = 'spot_job_id=(?)' + filter_args = [local_log_file, job_id] + if task_id is not None: + filter_str += ' AND task_id=(?)' + filter_args.append(task_id) + with db_utils.safe_cursor(_DB_PATH) as cursor: + cursor.execute( + 'UPDATE spot SET local_log_file=(?) ' + f'WHERE {filter_str}', filter_args) + + # ======== utility functions ======== def get_nonterminal_job_ids_by_name(name: Optional[str]) -> List[int]: """Get non-terminal job ids by name.""" @@ -662,3 +680,17 @@ def get_task_specs(job_id: int, task_id: int) -> Dict[str, Any]: WHERE spot_job_id=(?) AND task_id=(?)""", (job_id, task_id)).fetchone() return json.loads(task_specs[0]) + + +def get_local_log_file(job_id: int, task_id: Optional[int]) -> Optional[str]: + """Get the local log directory for a job.""" + filter_str = 'spot_job_id=(?)' + filter_args = [job_id] + if task_id is not None: + filter_str += ' AND task_id=(?)' + filter_args.append(task_id) + with db_utils.safe_cursor(_DB_PATH) as cursor: + local_log_file = cursor.execute( + f'SELECT local_log_file FROM spot ' + f'WHERE {filter_str}', filter_args).fetchone() + return local_log_file[-1] if local_log_file else None diff --git a/sky/jobs/utils.py b/sky/jobs/utils.py index f82e1132678..267c205285b 100644 --- a/sky/jobs/utils.py +++ b/sky/jobs/utils.py @@ -327,10 +327,24 @@ def stream_logs_by_id(job_id: int, follow: bool = True) -> str: if managed_job_status.is_failed(): job_msg = ('\nFailure reason: ' f'{managed_job_state.get_failure_reason(job_id)}') + log_file = managed_job_state.get_local_log_file(job_id, None) + if log_file is not None: + with open(log_file, 'r', encoding='utf-8') as f: + # Stream the logs to the console without reading the whole + # file into memory. + start_streaming = False + for line in f: + if log_lib.LOG_FILE_START_STREAMING_AT in line: + start_streaming = True + if start_streaming: + print(line, end='', flush=True) + return '' return (f'{colorama.Fore.YELLOW}' f'Job {job_id} is already in terminal state ' - f'{managed_job_status.value}. Logs will not be shown.' - f'{colorama.Style.RESET_ALL}{job_msg}') + f'{managed_job_status.value}. For more details, run: ' + f'sky jobs logs --controller {job_id}' + f'{colorama.Style.RESET_ALL}' + f'{job_msg}') backend = backends.CloudVmRayBackend() task_id, managed_job_status = ( managed_job_state.get_latest_task_id_status(job_id)) diff --git a/sky/skylet/log_lib.py b/sky/skylet/log_lib.py index fa3f7f9f3fc..8a40982972a 100644 --- a/sky/skylet/log_lib.py +++ b/sky/skylet/log_lib.py @@ -34,6 +34,8 @@ logger = sky_logging.init_logger(__name__) +LOG_FILE_START_STREAMING_AT = 'Waiting for task resources on ' + class _ProcessingArgs: """Arguments for processing logs.""" @@ -435,7 +437,7 @@ def tail_logs(job_id: Optional[int], time.sleep(_SKY_LOG_WAITING_GAP_SECONDS) status = job_lib.update_job_status([job_id], silent=True)[0] - start_stream_at = 'Waiting for task resources on ' + start_stream_at = LOG_FILE_START_STREAMING_AT # Explicitly declare the type to avoid mypy warning. lines: Iterable[str] = [] if follow and status in [ diff --git a/sky/skylet/log_lib.pyi b/sky/skylet/log_lib.pyi index 01b08b6444f..89d1628ec11 100644 --- a/sky/skylet/log_lib.pyi +++ b/sky/skylet/log_lib.pyi @@ -13,6 +13,9 @@ from sky.skylet import constants as constants from sky.skylet import job_lib as job_lib from sky.utils import log_utils as log_utils +LOG_FILE_START_STREAMING_AT: str = ... + + class _ProcessingArgs: log_path: str stream_logs: bool diff --git a/sky/utils/controller_utils.py b/sky/utils/controller_utils.py index a6657df960d..e157b6416a5 100644 --- a/sky/utils/controller_utils.py +++ b/sky/utils/controller_utils.py @@ -26,6 +26,7 @@ from sky.serve import constants as serve_constants from sky.serve import serve_utils from sky.skylet import constants +from sky.skylet import log_lib from sky.utils import common_utils from sky.utils import env_options from sky.utils import rich_utils @@ -380,11 +381,19 @@ def download_and_stream_latest_job_log( else: log_dir = list(log_dirs.values())[0] log_file = os.path.join(log_dir, 'run.log') - # Print the logs to the console. + # TODO(zhwu): refactor this into log_utils, along with the + # refactoring for the log_lib.tail_logs. try: with open(log_file, 'r', encoding='utf-8') as f: - print(f.read()) + # Stream the logs to the console without reading the whole + # file into memory. + start_streaming = False + for line in f: + if log_lib.LOG_FILE_START_STREAMING_AT in line: + start_streaming = True + if start_streaming: + print(line, end='', flush=True) except FileNotFoundError: logger.error('Failed to find the logs for the user ' f'program at {log_file}.') diff --git a/tests/test_smoke.py b/tests/test_smoke.py index 26f7ba73ef9..78c87e0e60e 100644 --- a/tests/test_smoke.py +++ b/tests/test_smoke.py @@ -3651,6 +3651,8 @@ def test_managed_jobs_storage(generic_cloud: str): job_name=name, job_status=[sky.ManagedJobStatus.SUCCEEDED], timeout=60 + _BUMP_UP_SECONDS), + # Wait for the job to be cleaned up. + 'sleep 20', f'[ $(aws s3api list-buckets --query "Buckets[?contains(Name, \'{storage_name}\')].Name" --output text | wc -l) -eq 0 ]', # Check if file was written to the mounted output bucket output_check_cmd @@ -3701,11 +3703,19 @@ def test_managed_jobs_inline_env(generic_cloud: str): test = Test( 'test-managed-jobs-inline-env', [ - f'sky jobs launch -n {name} -y --cloud {generic_cloud} --env TEST_ENV="hello world" -- "([[ ! -z \\"\$TEST_ENV\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_IPS}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_RANK}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NUM_NODES}\\" ]]) || exit 1"', + f'sky jobs launch -n {name} -y --cloud {generic_cloud} --env TEST_ENV="hello world" -- "echo "\\$TEST_ENV"; ([[ ! -z \\"\$TEST_ENV\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_IPS}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NODE_RANK}\\" ]] && [[ ! -z \\"\${constants.SKYPILOT_NUM_NODES}\\" ]]) || exit 1"', _get_cmd_wait_until_managed_job_status_contains_matching_job_name( job_name=name, job_status=[sky.ManagedJobStatus.SUCCEEDED], timeout=20 + _BUMP_UP_SECONDS), + f'JOB_ROW=$(sky jobs queue | grep {name} | head -n1) && ' + f'echo "$JOB_ROW" && echo "$JOB_ROW" | grep "SUCCEEDED" && ' + f'JOB_ID=$(echo "$JOB_ROW" | awk \'{{print $1}}\') && ' + f'echo "JOB_ID=$JOB_ID" && ' + # Test that logs are still available after the job finishes. + 'unset SKYPILOT_DEBUG; s=$(sky jobs logs $JOB_ID --refresh) && echo "$s" && echo "$s" | grep "hello world" && ' + # Make sure we skip the unnecessary logs. + 'echo "$s" | head -n1 | grep "Waiting for"', ], f'sky jobs cancel -y -n {name}', # Increase timeout since sky jobs queue -r can be blocked by other spot tests. From de561c25b07032fe3f2ddc88d32d930c8f78780a Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Tue, 3 Dec 2024 15:46:28 -0800 Subject: [PATCH 129/152] [perf] use uv for venv creation and pip install (#4414) * Revert "remove `uv` from runtime setup due to azure installation issue (#4401)" This reverts commit 0b20d568ee1af454bfec3e50ff62d239f976e52d. * on azure, use --prerelease=allow to install azure-cli * use uv venv --seed * fix backwards compatibility * really fix backwards compatibility * use uv to set up controller dependencies * fix python 3.8 * lint * add missing file * update comment * split out azure-cli dep * fix lint for dependencies * use runpy.run_path rather than modifying sys.path * fix cloud dependency installation commands * lint * Update sky/utils/controller_utils.py Co-authored-by: Zhanghao Wu --------- Co-authored-by: Zhanghao Wu --- sky/setup_files/dependencies.py | 141 +++++++++++++++++++++++++++ sky/setup_files/setup.py | 136 +++----------------------- sky/skylet/constants.py | 47 ++++++--- sky/templates/kubernetes-ray.yml.j2 | 2 +- sky/utils/controller_utils.py | 145 ++++++++++------------------ 5 files changed, 239 insertions(+), 232 deletions(-) create mode 100644 sky/setup_files/dependencies.py diff --git a/sky/setup_files/dependencies.py b/sky/setup_files/dependencies.py new file mode 100644 index 00000000000..18d2f5cdc08 --- /dev/null +++ b/sky/setup_files/dependencies.py @@ -0,0 +1,141 @@ +"""Dependencies for SkyPilot. + +This file is imported by setup.py, so: +- It may not be able to import other skypilot modules, since sys.path may not be + correct. +- It should not import any dependencies, as they may not be installed yet. +""" +from typing import Dict, List + +install_requires = [ + 'wheel', + 'cachetools', + # NOTE: ray requires click>=7.0. + 'click >= 7.0', + 'colorama', + 'cryptography', + # Jinja has a bug in older versions because of the lack of pinning + # the version of the underlying markupsafe package. See: + # https://github.com/pallets/jinja/issues/1585 + 'jinja2 >= 3.0', + 'jsonschema', + 'networkx', + 'pandas>=1.3.0', + 'pendulum', + # PrettyTable with version >=2.0.0 is required for the support of + # `add_rows` method. + 'PrettyTable >= 2.0.0', + 'python-dotenv', + 'rich', + 'tabulate', + # Light weight requirement, can be replaced with "typing" once + # we deprecate Python 3.7 (this will take a while). + 'typing_extensions', + 'filelock >= 3.6.0', + 'packaging', + 'psutil', + 'pulp', + # Cython 3.0 release breaks PyYAML 5.4.* + # (https://github.com/yaml/pyyaml/issues/601) + # <= 3.13 may encounter https://github.com/ultralytics/yolov5/issues/414 + 'pyyaml > 3.13, != 5.4.*', + 'requests', +] + +local_ray = [ + # Lower version of ray will cause dependency conflict for + # click/grpcio/protobuf. + # Excluded 2.6.0 as it has a bug in the cluster launcher: + # https://github.com/ray-project/ray/releases/tag/ray-2.6.1 + 'ray[default] >= 2.2.0, != 2.6.0', +] + +remote = [ + # Adopted from ray's setup.py: + # https://github.com/ray-project/ray/blob/ray-2.4.0/python/setup.py + # SkyPilot: != 1.48.0 is required to avoid the error where ray dashboard + # fails to start when ray start is called (#2054). + # Tracking issue: https://github.com/ray-project/ray/issues/30984 + 'grpcio >= 1.32.0, <= 1.49.1, != 1.48.0; python_version < \'3.10\' and sys_platform == \'darwin\'', # noqa:E501 pylint: disable=line-too-long + 'grpcio >= 1.42.0, <= 1.49.1, != 1.48.0; python_version >= \'3.10\' and sys_platform == \'darwin\'', # noqa:E501 pylint: disable=line-too-long + # Original issue: https://github.com/ray-project/ray/issues/33833 + 'grpcio >= 1.32.0, <= 1.51.3, != 1.48.0; python_version < \'3.10\' and sys_platform != \'darwin\'', # noqa:E501 pylint: disable=line-too-long + 'grpcio >= 1.42.0, <= 1.51.3, != 1.48.0; python_version >= \'3.10\' and sys_platform != \'darwin\'', # noqa:E501 pylint: disable=line-too-long + # Adopted from ray's setup.py: + # https://github.com/ray-project/ray/blob/ray-2.9.3/python/setup.py#L343 + 'protobuf >= 3.15.3, != 3.19.5', + # Some pydantic versions are not compatible with ray. Adopted from ray's + # setup.py: + # https://github.com/ray-project/ray/blob/ray-2.9.3/python/setup.py#L254 + 'pydantic!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,<3', +] + +# NOTE: Change the templates/jobs-controller.yaml.j2 file if any of the +# following packages dependencies are changed. +aws_dependencies = [ + # botocore does not work with urllib3>=2.0.0, according to + # https://github.com/boto/botocore/issues/2926 + # We have to explicitly pin the version to optimize the time for + # poetry install. See https://github.com/orgs/python-poetry/discussions/7937 + 'urllib3<2', + # NOTE: this installs CLI V1. To use AWS SSO (e.g., `aws sso login`), users + # should instead use CLI V2 which is not pip-installable. See + # https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html. + 'awscli>=1.27.10', + 'botocore>=1.29.10', + 'boto3>=1.26.1', + # NOTE: required by awscli. To avoid ray automatically installing + # the latest version. + 'colorama < 0.4.5', +] + +# azure-cli cannot be installed normally by uv, so we need to work around it in +# a few places. +AZURE_CLI = 'azure-cli>=2.65.0' + +extras_require: Dict[str, List[str]] = { + 'aws': aws_dependencies, + # TODO(zongheng): azure-cli is huge and takes a long time to install. + # Tracked in: https://github.com/Azure/azure-cli/issues/7387 + # azure-identity is needed in node_provider. + # We need azure-identity>=1.13.0 to enable the customization of the + # timeout of AzureCliCredential. + 'azure': [ + AZURE_CLI, + 'azure-core>=1.31.0', + 'azure-identity>=1.19.0', + 'azure-mgmt-network>=27.0.0', + 'azure-mgmt-compute>=33.0.0', + 'azure-storage-blob>=12.23.1', + 'msgraph-sdk', + ] + local_ray, + # We need google-api-python-client>=2.69.0 to enable 'discardLocalSsd' + # parameter for stopping instances. Reference: + # https://github.com/googleapis/google-api-python-client/commit/f6e9d3869ed605b06f7cbf2e8cf2db25108506e6 + 'gcp': ['google-api-python-client>=2.69.0', 'google-cloud-storage'], + 'ibm': [ + 'ibm-cloud-sdk-core', 'ibm-vpc', 'ibm-platform-services', 'ibm-cos-sdk' + ] + local_ray, + 'docker': ['docker'] + local_ray, + 'lambda': local_ray, + 'cloudflare': aws_dependencies, + 'scp': local_ray, + 'oci': ['oci'] + local_ray, + 'kubernetes': ['kubernetes>=20.0.0'], + 'remote': remote, + 'runpod': ['runpod>=1.5.1'], + 'fluidstack': [], # No dependencies needed for fluidstack + 'cudo': ['cudo-compute>=0.1.10'], + 'paperspace': [], # No dependencies needed for paperspace + 'vsphere': [ + 'pyvmomi==8.0.1.0.2', + # vsphere-automation-sdk is also required, but it does not have + # pypi release, which cause failure of our pypi release. + # https://peps.python.org/pep-0440/#direct-references + # We have the instruction for its installation in our + # docs instead. + # 'vsphere-automation-sdk @ git+https://github.com/vmware/vsphere-automation-sdk-python.git@v8.0.1.0' pylint: disable=line-too-long + ], +} + +extras_require['all'] = sum(extras_require.values(), []) diff --git a/sky/setup_files/setup.py b/sky/setup_files/setup.py index 0fd6978ec03..121f96d8e8b 100644 --- a/sky/setup_files/setup.py +++ b/sky/setup_files/setup.py @@ -18,19 +18,28 @@ import os import platform import re +import runpy import subprocess import sys -from typing import Dict, List import setuptools +# __file__ is setup.py at the root of the repo. We shouldn't assume it's a +# symlink - e.g. in the sdist it's resolved to a normal file. ROOT_DIR = os.path.dirname(__file__) +DEPENDENCIES_FILE_PATH = os.path.join(ROOT_DIR, 'sky', 'setup_files', + 'dependencies.py') INIT_FILE_PATH = os.path.join(ROOT_DIR, 'sky', '__init__.py') _COMMIT_FAILURE_MESSAGE = ( 'WARNING: SkyPilot fail to {verb} the commit hash in ' f'{INIT_FILE_PATH!r} (SkyPilot can still be normally used): ' '{error}') +# setuptools does not include the script dir on the search path, so we can't +# just do `import dependencies`. Instead, use runpy to manually load it. Note: +# dependencies here is a dict, not a module, so we access it by subscripting. +dependencies = runpy.run_path(DEPENDENCIES_FILE_PATH) + original_init_content = None system = platform.system() @@ -130,127 +139,6 @@ def parse_readme(readme: str) -> str: return readme -install_requires = [ - 'wheel', - 'cachetools', - # NOTE: ray requires click>=7.0. - 'click >= 7.0', - 'colorama', - 'cryptography', - # Jinja has a bug in older versions because of the lack of pinning - # the version of the underlying markupsafe package. See: - # https://github.com/pallets/jinja/issues/1585 - 'jinja2 >= 3.0', - 'jsonschema', - 'networkx', - 'pandas>=1.3.0', - 'pendulum', - # PrettyTable with version >=2.0.0 is required for the support of - # `add_rows` method. - 'PrettyTable >= 2.0.0', - 'python-dotenv', - 'rich', - 'tabulate', - # Light weight requirement, can be replaced with "typing" once - # we deprecate Python 3.7 (this will take a while). - 'typing_extensions', - 'filelock >= 3.6.0', - 'packaging', - 'psutil', - 'pulp', - # Cython 3.0 release breaks PyYAML 5.4.* (https://github.com/yaml/pyyaml/issues/601) - # <= 3.13 may encounter https://github.com/ultralytics/yolov5/issues/414 - 'pyyaml > 3.13, != 5.4.*', - 'requests', -] - -local_ray = [ - # Lower version of ray will cause dependency conflict for - # click/grpcio/protobuf. - # Excluded 2.6.0 as it has a bug in the cluster launcher: - # https://github.com/ray-project/ray/releases/tag/ray-2.6.1 - 'ray[default] >= 2.2.0, != 2.6.0', -] - -remote = [ - # Adopted from ray's setup.py: https://github.com/ray-project/ray/blob/ray-2.4.0/python/setup.py - # SkyPilot: != 1.48.0 is required to avoid the error where ray dashboard fails to start when - # ray start is called (#2054). - # Tracking issue: https://github.com/ray-project/ray/issues/30984 - "grpcio >= 1.32.0, <= 1.49.1, != 1.48.0; python_version < '3.10' and sys_platform == 'darwin'", # noqa:E501 - "grpcio >= 1.42.0, <= 1.49.1, != 1.48.0; python_version >= '3.10' and sys_platform == 'darwin'", # noqa:E501 - # Original issue: https://github.com/ray-project/ray/issues/33833 - "grpcio >= 1.32.0, <= 1.51.3, != 1.48.0; python_version < '3.10' and sys_platform != 'darwin'", # noqa:E501 - "grpcio >= 1.42.0, <= 1.51.3, != 1.48.0; python_version >= '3.10' and sys_platform != 'darwin'", # noqa:E501 - # Adopted from ray's setup.py: - # https://github.com/ray-project/ray/blob/ray-2.9.3/python/setup.py#L343 - 'protobuf >= 3.15.3, != 3.19.5', - # Some pydantic versions are not compatible with ray. Adopted from ray's - # setup.py: https://github.com/ray-project/ray/blob/ray-2.9.3/python/setup.py#L254 - 'pydantic!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,<3', -] - -# NOTE: Change the templates/jobs-controller.yaml.j2 file if any of the -# following packages dependencies are changed. -aws_dependencies = [ - # botocore does not work with urllib3>=2.0.0, according to https://github.com/boto/botocore/issues/2926 - # We have to explicitly pin the version to optimize the time for - # poetry install. See https://github.com/orgs/python-poetry/discussions/7937 - 'urllib3<2', - # NOTE: this installs CLI V1. To use AWS SSO (e.g., `aws sso login`), users - # should instead use CLI V2 which is not pip-installable. See - # https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html. - 'awscli>=1.27.10', - 'botocore>=1.29.10', - 'boto3>=1.26.1', - # NOTE: required by awscli. To avoid ray automatically installing - # the latest version. - 'colorama < 0.4.5', -] - -extras_require: Dict[str, List[str]] = { - 'aws': aws_dependencies, - # TODO(zongheng): azure-cli is huge and takes a long time to install. - # Tracked in: https://github.com/Azure/azure-cli/issues/7387 - # azure-identity is needed in node_provider. - # We need azure-identity>=1.13.0 to enable the customization of the - # timeout of AzureCliCredential. - 'azure': [ - 'azure-cli>=2.65.0', 'azure-core>=1.31.0', 'azure-identity>=1.19.0', - 'azure-mgmt-network>=27.0.0', 'azure-mgmt-compute>=33.0.0', - 'azure-storage-blob>=12.23.1', 'msgraph-sdk' - ] + local_ray, - # We need google-api-python-client>=2.69.0 to enable 'discardLocalSsd' - # parameter for stopping instances. - # Reference: https://github.com/googleapis/google-api-python-client/commit/f6e9d3869ed605b06f7cbf2e8cf2db25108506e6 - 'gcp': ['google-api-python-client>=2.69.0', 'google-cloud-storage'], - 'ibm': [ - 'ibm-cloud-sdk-core', 'ibm-vpc', 'ibm-platform-services', 'ibm-cos-sdk' - ] + local_ray, - 'docker': ['docker'] + local_ray, - 'lambda': local_ray, - 'cloudflare': aws_dependencies, - 'scp': local_ray, - 'oci': ['oci'] + local_ray, - 'kubernetes': ['kubernetes>=20.0.0'], - 'remote': remote, - 'runpod': ['runpod>=1.5.1'], - 'fluidstack': [], # No dependencies needed for fluidstack - 'cudo': ['cudo-compute>=0.1.10'], - 'paperspace': [], # No dependencies needed for paperspace - 'vsphere': [ - 'pyvmomi==8.0.1.0.2', - # vsphere-automation-sdk is also required, but it does not have - # pypi release, which cause failure of our pypi release. - # https://peps.python.org/pep-0440/#direct-references - # We have the instruction for its installation in our - # docs instead. - # 'vsphere-automation-sdk @ git+https://github.com/vmware/vsphere-automation-sdk-python.git@v8.0.1.0' - ], -} - -extras_require['all'] = sum(extras_require.values(), []) - long_description = '' readme_filepath = 'README.md' # When sky/backends/wheel_utils.py builds wheels, it will not contain the @@ -277,8 +165,8 @@ def parse_readme(readme: str) -> str: long_description_content_type='text/markdown', setup_requires=['wheel'], requires_python='>=3.7', - install_requires=install_requires, - extras_require=extras_require, + install_requires=dependencies['install_requires'], + extras_require=dependencies['extras_require'], entry_points={ 'console_scripts': ['sky = sky.cli:cli'], }, diff --git a/sky/skylet/constants.py b/sky/skylet/constants.py index 97d745b2e26..0b2a5b08e1b 100644 --- a/sky/skylet/constants.py +++ b/sky/skylet/constants.py @@ -4,6 +4,7 @@ from packaging import version import sky +from sky.setup_files import dependencies SKY_LOGS_DIRECTORY = '~/sky_logs' SKY_REMOTE_WORKDIR = '~/sky_workdir' @@ -39,6 +40,8 @@ 'which python3') # Python executable, e.g., /opt/conda/bin/python3 SKY_PYTHON_CMD = f'$({SKY_GET_PYTHON_PATH_CMD})' +# Prefer SKY_UV_PIP_CMD, which is faster. +# TODO(cooperc): remove remaining usage (GCP TPU setup). SKY_PIP_CMD = f'{SKY_PYTHON_CMD} -m pip' # Ray executable, e.g., /opt/conda/bin/ray # We need to add SKY_PYTHON_CMD before ray executable because: @@ -50,6 +53,14 @@ SKY_REMOTE_PYTHON_ENV_NAME = 'skypilot-runtime' SKY_REMOTE_PYTHON_ENV = f'~/{SKY_REMOTE_PYTHON_ENV_NAME}' ACTIVATE_SKY_REMOTE_PYTHON_ENV = f'source {SKY_REMOTE_PYTHON_ENV}/bin/activate' +# uv is used for venv and pip, much faster than python implementations. +SKY_UV_INSTALL_DIR = '"$HOME/.local/bin"' +SKY_UV_CMD = f'{SKY_UV_INSTALL_DIR}/uv' +# This won't reinstall uv if it's already installed, so it's safe to re-run. +SKY_UV_INSTALL_CMD = (f'{SKY_UV_CMD} -V >/dev/null 2>&1 || ' + 'curl -LsSf https://astral.sh/uv/install.sh ' + f'| UV_INSTALL_DIR={SKY_UV_INSTALL_DIR} sh') +SKY_UV_PIP_CMD = f'VIRTUAL_ENV={SKY_REMOTE_PYTHON_ENV} {SKY_UV_CMD} pip' # Deleting the SKY_REMOTE_PYTHON_ENV_NAME from the PATH to deactivate the # environment. `deactivate` command does not work when conda is used. DEACTIVATE_SKY_REMOTE_PYTHON_ENV = ( @@ -148,28 +159,30 @@ 'echo "Creating conda env with Python 3.10" && ' f'conda create -y -n {SKY_REMOTE_PYTHON_ENV_NAME} python=3.10 && ' f'conda activate {SKY_REMOTE_PYTHON_ENV_NAME};' + # Install uv for venv management and pip installation. + f'{SKY_UV_INSTALL_CMD};' # Create a separate conda environment for SkyPilot dependencies. f'[ -d {SKY_REMOTE_PYTHON_ENV} ] || ' # Do NOT use --system-site-packages here, because if users upgrade any # packages in the base env, they interfere with skypilot dependencies. # Reference: https://github.com/skypilot-org/skypilot/issues/4097 - f'{SKY_PYTHON_CMD} -m venv {SKY_REMOTE_PYTHON_ENV};' + # --seed will include pip and setuptools, which are present in venvs created + # with python -m venv. + f'{SKY_UV_CMD} venv --seed {SKY_REMOTE_PYTHON_ENV};' f'echo "$(echo {SKY_REMOTE_PYTHON_ENV})/bin/python" > {SKY_PYTHON_PATH_FILE};' ) _sky_version = str(version.parse(sky.__version__)) RAY_STATUS = f'RAY_ADDRESS=127.0.0.1:{SKY_REMOTE_RAY_PORT} {SKY_RAY_CMD} status' RAY_INSTALLATION_COMMANDS = ( + f'{SKY_UV_INSTALL_CMD};' 'mkdir -p ~/sky_workdir && mkdir -p ~/.sky/sky_app;' - # Disable the pip version check to avoid the warning message, which makes - # the output hard to read. - 'export PIP_DISABLE_PIP_VERSION_CHECK=1;' # Print the PATH in provision.log to help debug PATH issues. 'echo PATH=$PATH; ' # Install setuptools<=69.5.1 to avoid the issue with the latest setuptools # causing the error: # ImportError: cannot import name 'packaging' from 'pkg_resources'" - f'{SKY_PIP_CMD} install "setuptools<70"; ' + f'{SKY_UV_PIP_CMD} install "setuptools<70"; ' # Backward compatibility for ray upgrade (#3248): do not upgrade ray if the # ray cluster is already running, to avoid the ray cluster being restarted. # @@ -183,10 +196,10 @@ # latest ray port 6380, but those existing cluster launched before #1790 # that has ray cluster on the default port 6379 will be upgraded and # restarted. - f'{SKY_PIP_CMD} list | grep "ray " | ' + f'{SKY_UV_PIP_CMD} list | grep "ray " | ' f'grep {SKY_REMOTE_RAY_VERSION} 2>&1 > /dev/null ' f'|| {RAY_STATUS} || ' - f'{SKY_PIP_CMD} install --exists-action w -U ray[default]=={SKY_REMOTE_RAY_VERSION}; ' # pylint: disable=line-too-long + f'{SKY_UV_PIP_CMD} install -U ray[default]=={SKY_REMOTE_RAY_VERSION}; ' # pylint: disable=line-too-long # In some envs, e.g. pip does not have permission to write under /opt/conda # ray package will be installed under ~/.local/bin. If the user's PATH does # not include ~/.local/bin (the pip install will have the output: `WARNING: @@ -202,10 +215,22 @@ f'which ray > {SKY_RAY_PATH_FILE} || exit 1; }}; ') SKYPILOT_WHEEL_INSTALLATION_COMMANDS = ( - f'{{ {SKY_PIP_CMD} list | grep "skypilot " && ' + f'{SKY_UV_INSTALL_CMD};' + f'{{ {SKY_UV_PIP_CMD} list | grep "skypilot " && ' '[ "$(cat ~/.sky/wheels/current_sky_wheel_hash)" == "{sky_wheel_hash}" ]; } || ' # pylint: disable=line-too-long - f'{{ {SKY_PIP_CMD} uninstall skypilot -y; ' - f'{SKY_PIP_CMD} install "$(echo ~/.sky/wheels/{{sky_wheel_hash}}/' + f'{{ {SKY_UV_PIP_CMD} uninstall skypilot; ' + # uv cannot install azure-cli normally, since it depends on pre-release + # packages. Manually install azure-cli with the --prerelease=allow flag + # first. This will allow skypilot to successfully install. See + # https://docs.astral.sh/uv/pip/compatibility/#pre-release-compatibility. + # We don't want to use --prerelease=allow for all packages, because it will + # cause uv to use pre-releases for some other packages that have sufficient + # stable releases. + 'if [ "{cloud}" = "azure" ]; then ' + f'{SKY_UV_PIP_CMD} install --prerelease=allow "{dependencies.AZURE_CLI}";' + 'fi;' + # Install skypilot from wheel + f'{SKY_UV_PIP_CMD} install "$(echo ~/.sky/wheels/{{sky_wheel_hash}}/' f'skypilot-{_sky_version}*.whl)[{{cloud}}, remote]" && ' 'echo "{sky_wheel_hash}" > ~/.sky/wheels/current_sky_wheel_hash || ' 'exit 1; }; ') @@ -220,7 +245,7 @@ # The ray installation above can be skipped due to the existing ray cluster # for backward compatibility. In this case, we should not patch the ray # files. - f'{SKY_PIP_CMD} list | grep "ray " | ' + f'{SKY_UV_PIP_CMD} list | grep "ray " | ' f'grep {SKY_REMOTE_RAY_VERSION} 2>&1 > /dev/null && ' f'{{ {SKY_PYTHON_CMD} -c ' '"from sky.skylet.ray_patches import patch; patch()" || exit 1; }; ') diff --git a/sky/templates/kubernetes-ray.yml.j2 b/sky/templates/kubernetes-ray.yml.j2 index e572b263924..535e6f0b1ae 100644 --- a/sky/templates/kubernetes-ray.yml.j2 +++ b/sky/templates/kubernetes-ray.yml.j2 @@ -414,7 +414,7 @@ available_node_types: done {{ conda_installation_commands }} {{ ray_installation_commands }} - ~/skypilot-runtime/bin/python -m pip install skypilot[kubernetes,remote] + VIRTUAL_ENV=~/skypilot-runtime ~/.local/bin/uv pip install skypilot[kubernetes,remote] touch /tmp/ray_skypilot_installation_complete echo "=== Ray and skypilot installation completed ===" diff --git a/sky/utils/controller_utils.py b/sky/utils/controller_utils.py index e157b6416a5..3f0bd5c5ed7 100644 --- a/sky/utils/controller_utils.py +++ b/sky/utils/controller_utils.py @@ -25,6 +25,7 @@ from sky.jobs import utils as managed_job_utils from sky.serve import constants as serve_constants from sky.serve import serve_utils +from sky.setup_files import dependencies from sky.skylet import constants from sky.skylet import log_lib from sky.utils import common_utils @@ -188,79 +189,49 @@ def from_type(cls, controller_type: str) -> Optional['Controllers']: # Install cli dependencies. Not using SkyPilot wheels because the wheel # can be cleaned up by another process. -# TODO(zhwu): Keep the dependencies align with the ones in setup.py def _get_cloud_dependencies_installation_commands( controller: Controllers) -> List[str]: - # TODO(tian): Make dependency installation command a method of cloud - # class and get all installation command for enabled clouds. - commands = [] # We use / instead of strong formatting, as we need to update # the at the end of the for loop, and python does not support # partial string formatting. prefix_str = ('[/] Check & install cloud dependencies ' 'on controller: ') + commands: List[str] = [] # This is to make sure the shorter checking message does not have junk # characters from the previous message. - empty_str = ' ' * 10 - aws_dependencies_installation = ( - 'pip list | grep boto3 > /dev/null 2>&1 || pip install ' - 'botocore>=1.29.10 boto3>=1.26.1; ' - # Need to separate the installation of awscli from above because some - # other clouds will install boto3 but not awscli. - 'pip list | grep awscli> /dev/null 2>&1 || pip install "urllib3<2" ' - 'awscli>=1.27.10 "colorama<0.4.5" > /dev/null 2>&1') - setup_clouds: List[str] = [] + empty_str = ' ' * 20 + + # All python dependencies will be accumulated and then installed in one + # command at the end. This is very fast if the packages are already + # installed, so we don't check that. + python_packages: Set[str] = set() + + step_prefix = prefix_str.replace('', str(len(commands) + 1)) + commands.append(f'echo -en "\\r{step_prefix}uv{empty_str}" &&' + f'{constants.SKY_UV_INSTALL_CMD} >/dev/null 2>&1') + for cloud in sky_check.get_cached_enabled_clouds_or_refresh(): - if isinstance( - clouds, - (clouds.Lambda, clouds.SCP, clouds.Fluidstack, clouds.Paperspace)): - # no need to install any cloud dependencies for lambda, scp, - # fluidstack and paperspace - continue - if isinstance(cloud, clouds.AWS): - step_prefix = prefix_str.replace('', - str(len(setup_clouds) + 1)) - commands.append(f'echo -en "\\r{step_prefix}AWS{empty_str}" && ' + - aws_dependencies_installation) - setup_clouds.append(str(cloud)) - elif isinstance(cloud, clouds.Azure): - step_prefix = prefix_str.replace('', - str(len(setup_clouds) + 1)) - commands.append( - f'echo -en "\\r{step_prefix}Azure{empty_str}" && ' - 'pip list | grep azure-cli > /dev/null 2>&1 || ' - 'pip install "azure-cli>=2.31.0" azure-core ' - '"azure-identity>=1.13.0" azure-mgmt-network > /dev/null 2>&1') - # Have to separate this installation of az blob storage from above - # because this is newly-introduced and not part of azure-cli. We - # need a separate installed check for this. + cloud_python_dependencies: List[str] = dependencies.extras_require[ + cloud.canonical_name()] + + if isinstance(cloud, clouds.Azure): + # azure-cli cannot be normally installed by uv. + # See comments in sky/skylet/constants.py. + cloud_python_dependencies.remove(dependencies.AZURE_CLI) + + step_prefix = prefix_str.replace('', str(len(commands) + 1)) commands.append( - 'pip list | grep azure-storage-blob > /dev/null 2>&1 || ' - 'pip install azure-storage-blob msgraph-sdk > /dev/null 2>&1') - setup_clouds.append(str(cloud)) + f'echo -en "\\r{step_prefix}azure-cli{empty_str}" &&' + f'{constants.SKY_UV_PIP_CMD} install --prerelease=allow ' + f'"{dependencies.AZURE_CLI}" > /dev/null 2>&1') elif isinstance(cloud, clouds.GCP): - step_prefix = prefix_str.replace('', - str(len(setup_clouds) + 1)) - commands.append( - f'echo -en "\\r{step_prefix}GCP{empty_str}" && ' - 'pip list | grep google-api-python-client > /dev/null 2>&1 || ' - 'pip install "google-api-python-client>=2.69.0" ' - '> /dev/null 2>&1') - # Have to separate the installation of google-cloud-storage from - # above because for a VM launched on GCP, the VM may have - # google-api-python-client installed alone. - commands.append( - 'pip list | grep google-cloud-storage > /dev/null 2>&1 || ' - 'pip install google-cloud-storage > /dev/null 2>&1') - commands.append(f'{gcp.GOOGLE_SDK_INSTALLATION_COMMAND}') - setup_clouds.append(str(cloud)) + step_prefix = prefix_str.replace('', str(len(commands) + 1)) + commands.append(f'echo -en "\\r{step_prefix}GCP SDK{empty_str}" &&' + f'{gcp.GOOGLE_SDK_INSTALLATION_COMMAND}') elif isinstance(cloud, clouds.Kubernetes): - step_prefix = prefix_str.replace('', - str(len(setup_clouds) + 1)) + step_prefix = prefix_str.replace('', str(len(commands) + 1)) commands.append( f'echo -en "\\r{step_prefix}Kubernetes{empty_str}" && ' - 'pip list | grep kubernetes > /dev/null 2>&1 || ' - 'pip install "kubernetes>=20.0.0" > /dev/null 2>&1 &&' # Install k8s + skypilot dependencies 'sudo bash -c "if ' '! command -v curl &> /dev/null || ' @@ -276,54 +247,36 @@ def _get_cloud_dependencies_installation_commands( '/bin/linux/amd64/kubectl" && ' 'sudo install -o root -g root -m 0755 ' 'kubectl /usr/local/bin/kubectl))') - setup_clouds.append(str(cloud)) elif isinstance(cloud, clouds.Cudo): - step_prefix = prefix_str.replace('', - str(len(setup_clouds) + 1)) + step_prefix = prefix_str.replace('', str(len(commands) + 1)) commands.append( - f'echo -en "\\r{step_prefix}Cudo{empty_str}" && ' - 'pip list | grep cudo-compute > /dev/null 2>&1 || ' - 'pip install "cudo-compute>=0.1.10" > /dev/null 2>&1 && ' + f'echo -en "\\r{step_prefix}cudoctl{empty_str}" && ' 'wget https://download.cudo.org/compute/cudoctl-0.3.2-amd64.deb -O ~/cudoctl.deb > /dev/null 2>&1 && ' # pylint: disable=line-too-long 'sudo dpkg -i ~/cudoctl.deb > /dev/null 2>&1') - setup_clouds.append(str(cloud)) - elif isinstance(cloud, clouds.RunPod): - step_prefix = prefix_str.replace('', - str(len(setup_clouds) + 1)) - commands.append(f'echo -en "\\r{step_prefix}RunPod{empty_str}" && ' - 'pip list | grep runpod > /dev/null 2>&1 || ' - 'pip install "runpod>=1.5.1" > /dev/null 2>&1') - setup_clouds.append(str(cloud)) - elif isinstance(cloud, clouds.OCI): - step_prefix = prefix_str.replace('', - str(len(setup_clouds) + 1)) - commands.append(f'echo -en "\\r{prefix_str}OCI{empty_str}" && ' - 'pip list | grep oci > /dev/null 2>&1 || ' - 'pip install oci > /dev/null 2>&1') - setup_clouds.append(str(cloud)) - if controller == Controllers.JOBS_CONTROLLER: - if isinstance(cloud, clouds.IBM): - step_prefix = prefix_str.replace('', - str(len(setup_clouds) + 1)) - commands.append( - f'echo -en "\\r{step_prefix}IBM{empty_str}" ' - '&& pip list | grep ibm-cloud-sdk-core > /dev/null 2>&1 || ' - 'pip install ibm-cloud-sdk-core ibm-vpc ' - 'ibm-platform-services ibm-cos-sdk > /dev/null 2>&1') - setup_clouds.append(str(cloud)) + elif isinstance(cloud, clouds.IBM): + if controller != Controllers.JOBS_CONTROLLER: + # We only need IBM deps on the jobs controller. + cloud_python_dependencies = [] + + python_packages.update(cloud_python_dependencies) + if (cloudflare.NAME in storage_lib.get_cached_enabled_storage_clouds_or_refresh()): - step_prefix = prefix_str.replace('', str(len(setup_clouds) + 1)) - commands.append( - f'echo -en "\\r{step_prefix}Cloudflare{empty_str}" && ' + - aws_dependencies_installation) - setup_clouds.append(cloudflare.NAME) + python_packages.update(dependencies.extras_require['cloudflare']) + + packages_string = ' '.join([f'"{package}"' for package in python_packages]) + step_prefix = prefix_str.replace('', str(len(commands) + 1)) + commands.append( + f'echo -en "\\r{step_prefix}cloud python packages{empty_str}" && ' + f'{constants.SKY_UV_PIP_CMD} install {packages_string} > /dev/null 2>&1' + ) + total_commands = len(commands) finish_prefix = prefix_str.replace('[/] ', ' ') commands.append(f'echo -e "\\r{finish_prefix}done.{empty_str}"') + commands = [ - command.replace('', str(len(setup_clouds))) - for command in commands + command.replace('', str(total_commands)) for command in commands ] return commands From 51a7e177d99fdfe73a89c04dddc385940a97a37d Mon Sep 17 00:00:00 2001 From: Zongheng Yang Date: Tue, 3 Dec 2024 16:32:31 -0800 Subject: [PATCH 130/152] [Minor] README updates. (#4436) * [Minor] README touches. * update * update --- README.md | 3 ++- docs/source/docs/index.rst | 4 ++++ tests/test_smoke.py | 2 +- 3 files changed, 7 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 40a41e18782..f29b57be9ca 100644 --- a/README.md +++ b/README.md @@ -155,10 +155,11 @@ SkyPilot then performs the heavy-lifting for you, including: Refer to [Quickstart](https://skypilot.readthedocs.io/en/latest/getting-started/quickstart.html) to get started with SkyPilot. ## More Information -To learn more, see our [documentation](https://skypilot.readthedocs.io/en/latest/), [blog](https://blog.skypilot.co/), and [community integrations](https://blog.skypilot.co/community/). +To learn more, see [Concept: Sky Computing](https://docs.skypilot.co/en/latest/sky-computing.html), [SkyPilot docs](https://skypilot.readthedocs.io/en/latest/), and [SkyPilot blog](https://blog.skypilot.co/). Runnable examples: +- [**AI Gallery**](https://docs.skypilot.co/en/latest/gallery/index.html) - LLMs on SkyPilot - [Llama 3.2: lightweight and vision models](./llm/llama-3_2/) - [Pixtral](./llm/pixtral/) diff --git a/docs/source/docs/index.rst b/docs/source/docs/index.rst index c5c44c63f47..17f8d545fa6 100644 --- a/docs/source/docs/index.rst +++ b/docs/source/docs/index.rst @@ -74,10 +74,14 @@ You can chat with the SkyPilot team and community on the `SkyPilot Slack ` and `SkyPilot blog `_. + Runnable examples: .. Keep this section in sync with README.md in SkyPilot repo +* :ref:`AI Gallery ` + * **LLMs on SkyPilot** * `Llama 3.2: lightweight and vision models `_ diff --git a/tests/test_smoke.py b/tests/test_smoke.py index 78c87e0e60e..f37467417fa 100644 --- a/tests/test_smoke.py +++ b/tests/test_smoke.py @@ -195,7 +195,7 @@ def _get_cmd_wait_until_cluster_is_not_found(cluster_name: str, timeout: int): ' fi; ' 'done <<< "$current_status"; ' 'if [ "$found" -eq 1 ]; then break; fi; ' # Break outer loop if match found - 'echo "Waiting for job status to contains {job_status}, current status: $current_status"; ' + 'echo "Waiting for job status to contain {job_status}, current status: $current_status"; ' 'sleep 10; ' 'done') From 3009204b07474c7ea906d6906d4c82449c68f1c8 Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Wed, 4 Dec 2024 13:52:51 -0800 Subject: [PATCH 131/152] make --fast robust against credential or wheel updates (#4289) * add config_dict['config_hash'] output to write_cluster_config * fix docstring for write_cluster_config This used to be true, but since #2943, 'ray' is the only provisioner. Add other keys that are now present instead. * when using --fast, check if config_hash matches, and if not, provision * mock hashing method in unit test This is needed since some files in the fake file mounts don't actually exist, like the wheel path. * check config hash within provision with lock held * address other PR review comments * rename to skip_if_no_cluster_updates Co-authored-by: Zhanghao Wu * add assert details Co-authored-by: Zhanghao Wu * address PR comments and update docstrings * fix test * update docstrings Co-authored-by: Zhanghao Wu * address PR comments * fix lint and tests * Update sky/backends/cloud_vm_ray_backend.py Co-authored-by: Zhanghao Wu * refactor skip_if_no_cluster_update var * clarify comment * format exception --------- Co-authored-by: Zhanghao Wu --- sky/backends/backend.py | 57 +++++++--- sky/backends/backend_utils.py | 143 ++++++++++++++++++++++++- sky/backends/cloud_vm_ray_backend.py | 94 ++++++++++++---- sky/backends/local_docker_backend.py | 18 ++-- sky/clouds/service_catalog/common.py | 4 +- sky/execution.py | 36 +++++-- sky/global_user_state.py | 33 ++++-- sky/utils/common_utils.py | 19 ++++ tests/unit_tests/test_backend_utils.py | 2 + 9 files changed, 340 insertions(+), 66 deletions(-) diff --git a/sky/backends/backend.py b/sky/backends/backend.py index 10b51b06038..d5fd6f19925 100644 --- a/sky/backends/backend.py +++ b/sky/backends/backend.py @@ -45,20 +45,45 @@ def check_resources_fit_cluster(self, handle: _ResourceHandleType, @timeline.event @usage_lib.messages.usage.update_runtime('provision') def provision( - self, - task: 'task_lib.Task', - to_provision: Optional['resources.Resources'], - dryrun: bool, - stream_logs: bool, - cluster_name: Optional[str] = None, - retry_until_up: bool = False) -> Optional[_ResourceHandleType]: + self, + task: 'task_lib.Task', + to_provision: Optional['resources.Resources'], + dryrun: bool, + stream_logs: bool, + cluster_name: Optional[str] = None, + retry_until_up: bool = False, + skip_unnecessary_provisioning: bool = False, + ) -> Optional[_ResourceHandleType]: + """Provisions resources for the given task. + + Args: + task: The task to provision resources for. + to_provision: Resource config to provision. Should only be None if + cluster_name refers to an existing cluster, whose resources will + be used. + dryrun: If True, don't actually provision anything. + stream_logs: If True, stream additional logs to console. + cluster_name: Name of the cluster to provision. If None, a name will + be auto-generated. If the name refers to an existing cluster, + the existing cluster will be reused and re-provisioned. + retry_until_up: If True, retry provisioning until resources are + successfully launched. + skip_if_no_cluster_updates: If True, compare the cluster config to + the existing cluster_name's config. Skip provisioning if no + updates are needed for the existing cluster. + + Returns: + A ResourceHandle object for the provisioned resources, or None if + dryrun is True. + """ if cluster_name is None: cluster_name = sky.backends.backend_utils.generate_cluster_name() usage_lib.record_cluster_name_for_current_operation(cluster_name) usage_lib.messages.usage.update_actual_task(task) with rich_utils.safe_status(ux_utils.spinner_message('Launching')): return self._provision(task, to_provision, dryrun, stream_logs, - cluster_name, retry_until_up) + cluster_name, retry_until_up, + skip_unnecessary_provisioning) @timeline.event @usage_lib.messages.usage.update_runtime('sync_workdir') @@ -126,13 +151,15 @@ def register_info(self, **kwargs) -> None: # --- Implementations of the APIs --- def _provision( - self, - task: 'task_lib.Task', - to_provision: Optional['resources.Resources'], - dryrun: bool, - stream_logs: bool, - cluster_name: str, - retry_until_up: bool = False) -> Optional[_ResourceHandleType]: + self, + task: 'task_lib.Task', + to_provision: Optional['resources.Resources'], + dryrun: bool, + stream_logs: bool, + cluster_name: str, + retry_until_up: bool = False, + skip_unnecessary_provisioning: bool = False, + ) -> Optional[_ResourceHandleType]: raise NotImplementedError def _sync_workdir(self, handle: _ResourceHandleType, workdir: Path) -> None: diff --git a/sky/backends/backend_utils.py b/sky/backends/backend_utils.py index 9c56546234a..7292001cc09 100644 --- a/sky/backends/backend_utils.py +++ b/sky/backends/backend_utils.py @@ -3,6 +3,7 @@ import enum import fnmatch import functools +import hashlib import os import pathlib import pprint @@ -644,11 +645,17 @@ def write_cluster_config( keep_launch_fields_in_existing_config: bool = True) -> Dict[str, str]: """Fills in cluster configuration templates and writes them out. - Returns: {provisioner: path to yaml, the provisioning spec}. - 'provisioner' can be - - 'ray' - - 'tpu-create-script' (if TPU is requested) - - 'tpu-delete-script' (if TPU is requested) + Returns: + Dict with the following keys: + - 'ray': Path to the generated Ray yaml config file + - 'cluster_name': Name of the cluster + - 'cluster_name_on_cloud': Name of the cluster as it appears in the + cloud provider + - 'config_hash': Hash of the cluster config and file mounts contents. + Can be missing if we unexpectedly failed to calculate the hash for + some reason. In that case we will continue without the optimization to + skip provisioning. + Raises: exceptions.ResourcesUnavailableError: if the region/zones requested does not appear in the catalog, or an ssh_proxy_command is specified but @@ -903,6 +910,12 @@ def write_cluster_config( if dryrun: # If dryrun, return the unfinished tmp yaml path. config_dict['ray'] = tmp_yaml_path + try: + config_dict['config_hash'] = _deterministic_cluster_yaml_hash( + tmp_yaml_path) + except Exception as e: # pylint: disable=broad-except + logger.warning(f'Failed to calculate config_hash: {e}') + logger.debug('Full exception:', exc_info=e) return config_dict _add_auth_to_cluster_config(cloud, tmp_yaml_path) @@ -925,6 +938,17 @@ def write_cluster_config( yaml_config = common_utils.read_yaml(tmp_yaml_path) config_dict['cluster_name_on_cloud'] = yaml_config['cluster_name'] + # Make sure to do this before we optimize file mounts. Optimization is + # non-deterministic, but everything else before this point should be + # deterministic. + try: + config_dict['config_hash'] = _deterministic_cluster_yaml_hash( + tmp_yaml_path) + except Exception as e: # pylint: disable=broad-except + logger.warning('Failed to calculate config_hash: ' + f'{common_utils.format_exception(e)}') + logger.debug('Full exception:', exc_info=e) + # Optimization: copy the contents of source files in file_mounts to a # special dir, and upload that as the only file_mount instead. Delay # calling this optimization until now, when all source files have been @@ -1033,6 +1057,115 @@ def get_ready_nodes_counts(pattern, output): return ready_head, ready_workers +@timeline.event +def _deterministic_cluster_yaml_hash(yaml_path: str) -> str: + """Hash the cluster yaml and contents of file mounts to a unique string. + + Two invocations of this function should return the same string if and only + if the contents of the yaml are the same and the file contents of all the + file_mounts specified in the yaml are the same. + + Limitations: + - This function can be expensive if the file mounts are large. (E.g. a few + seconds for ~1GB.) This should be okay since we expect that the + file_mounts in the cluster yaml (the wheel and cloud credentials) will be + small. + - Symbolic links are not explicitly handled. Some symbolic link changes may + not be detected. + + Implementation: We create a byte sequence that captures the state of the + yaml file and all the files in the file mounts, then hash the byte sequence. + + The format of the byte sequence is: + 32 bytes - sha256 hash of the yaml file + for each file mount: + file mount remote destination (UTF-8), \0 + if the file mount source is a file: + 'file' encoded to UTF-8 + 32 byte sha256 hash of the file contents + if the file mount source is a directory: + 'dir' encoded to UTF-8 + for each directory and subdirectory withinin the file mount (starting from + the root and descending recursively): + name of the directory (UTF-8), \0 + name of each subdirectory within the directory (UTF-8) terminated by \0 + \0 + for each file in the directory: + name of the file (UTF-8), \0 + 32 bytes - sha256 hash of the file contents + \0 + if the file mount source is something else or does not exist, nothing + \0\0 + + Rather than constructing the whole byte sequence, which may be quite large, + we construct it incrementally by using hash.update() to add new bytes. + """ + + def _hash_file(path: str) -> bytes: + return common_utils.hash_file(path, 'sha256').digest() + + config_hash = hashlib.sha256() + + config_hash.update(_hash_file(yaml_path)) + + yaml_config = common_utils.read_yaml(yaml_path) + file_mounts = yaml_config.get('file_mounts', {}) + # Remove the file mounts added by the newline. + if '' in file_mounts: + assert file_mounts[''] == '', file_mounts[''] + file_mounts.pop('') + + for dst, src in sorted(file_mounts.items()): + expanded_src = os.path.expanduser(src) + config_hash.update(dst.encode('utf-8') + b'\0') + + # If the file mount source is a symlink, this should be true. In that + # case we hash the contents of the symlink destination. + if os.path.isfile(expanded_src): + config_hash.update('file'.encode('utf-8')) + config_hash.update(_hash_file(expanded_src)) + + # This can also be a symlink to a directory. os.walk will treat it as a + # normal directory and list the contents of the symlink destination. + elif os.path.isdir(expanded_src): + config_hash.update('dir'.encode('utf-8')) + + # Aside from expanded_src, os.walk will list symlinks to directories + # but will not recurse into them. + for (dirpath, dirnames, filenames) in os.walk(expanded_src): + config_hash.update(dirpath.encode('utf-8') + b'\0') + + # Note: inplace sort will also affect the traversal order of + # os.walk. We need it so that the os.walk order is + # deterministic. + dirnames.sort() + # This includes symlinks to directories. os.walk will recurse + # into all the directories but not the symlinks. We don't hash + # the link destination, so if a symlink to a directory changes, + # we won't notice. + for dirname in dirnames: + config_hash.update(dirname.encode('utf-8') + b'\0') + config_hash.update(b'\0') + + filenames.sort() + # This includes symlinks to files. We could hash the symlink + # destination itself but instead just hash the destination + # contents. + for filename in filenames: + config_hash.update(filename.encode('utf-8') + b'\0') + config_hash.update( + _hash_file(os.path.join(dirpath, filename))) + config_hash.update(b'\0') + + else: + logger.debug( + f'Unexpected file_mount that is not a file or dir: {src}') + + config_hash.update(b'\0\0') + + return config_hash.hexdigest() + + def get_docker_user(ip: str, cluster_config_file: str) -> str: """Find docker container username.""" ssh_credentials = ssh_credential_from_yaml(cluster_config_file) diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index d73b7f54b8d..b7ef8850132 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -1155,6 +1155,7 @@ def __init__( prev_cluster_status: Optional[status_lib.ClusterStatus], prev_handle: Optional['CloudVmRayResourceHandle'], prev_cluster_ever_up: bool, + prev_config_hash: Optional[str], ) -> None: assert cluster_name is not None, 'cluster_name must be specified.' self.cluster_name = cluster_name @@ -1163,6 +1164,7 @@ def __init__( self.prev_cluster_status = prev_cluster_status self.prev_handle = prev_handle self.prev_cluster_ever_up = prev_cluster_ever_up + self.prev_config_hash = prev_config_hash def __init__(self, log_dir: str, @@ -1324,8 +1326,21 @@ def _retry_zones( prev_cluster_status: Optional[status_lib.ClusterStatus], prev_handle: Optional['CloudVmRayResourceHandle'], prev_cluster_ever_up: bool, + skip_if_config_hash_matches: Optional[str], ) -> Dict[str, Any]: - """The provision retry loop.""" + """The provision retry loop. + + Returns a config_dict with the following fields: + All fields from backend_utils.write_cluster_config(). See its + docstring. + - 'provisioning_skipped': True if provisioning was short-circuited + by skip_if_config_hash_matches, False otherwise. + - 'handle': The provisioned cluster handle. + - 'provision_record': (Only if using the new skypilot provisioner) The + record returned by provisioner.bulk_provision(). + - 'resources_vars': (Only if using the new skypilot provisioner) The + resources variables given by make_deploy_resources_variables(). + """ # Get log_path name log_path = os.path.join(self.log_dir, 'provision.log') log_abs_path = os.path.abspath(log_path) @@ -1434,8 +1449,18 @@ def _retry_zones( raise exceptions.ResourcesUnavailableError( f'Failed to provision on cloud {to_provision.cloud} due to ' f'invalid cloud config: {common_utils.format_exception(e)}') + + if ('config_hash' in config_dict and + skip_if_config_hash_matches == config_dict['config_hash']): + logger.debug('Skipping provisioning of cluster with matching ' + 'config hash.') + config_dict['provisioning_skipped'] = True + return config_dict + config_dict['provisioning_skipped'] = False + if dryrun: return config_dict + cluster_config_file = config_dict['ray'] launched_resources = to_provision.copy(region=region.name) @@ -1947,8 +1972,13 @@ def provision_with_retries( to_provision_config: ToProvisionConfig, dryrun: bool, stream_logs: bool, + skip_unnecessary_provisioning: bool, ) -> Dict[str, Any]: - """Provision with retries for all launchable resources.""" + """Provision with retries for all launchable resources. + + Returns the config_dict from _retry_zones() - see its docstring for + details. + """ cluster_name = to_provision_config.cluster_name to_provision = to_provision_config.resources num_nodes = to_provision_config.num_nodes @@ -1957,6 +1987,8 @@ def provision_with_retries( prev_cluster_ever_up = to_provision_config.prev_cluster_ever_up launchable_retries_disabled = (self._dag is None or self._optimize_target is None) + skip_if_config_hash_matches = (to_provision_config.prev_config_hash if + skip_unnecessary_provisioning else None) failover_history: List[Exception] = list() @@ -1996,7 +2028,8 @@ def provision_with_retries( cloud_user_identity=cloud_user, prev_cluster_status=prev_cluster_status, prev_handle=prev_handle, - prev_cluster_ever_up=prev_cluster_ever_up) + prev_cluster_ever_up=prev_cluster_ever_up, + skip_if_config_hash_matches=skip_if_config_hash_matches) if dryrun: return config_dict except (exceptions.InvalidClusterNameError, @@ -2697,14 +2730,21 @@ def check_resources_fit_cluster( return valid_resource def _provision( - self, - task: task_lib.Task, - to_provision: Optional[resources_lib.Resources], - dryrun: bool, - stream_logs: bool, - cluster_name: str, - retry_until_up: bool = False) -> Optional[CloudVmRayResourceHandle]: - """Provisions using 'ray up'. + self, + task: task_lib.Task, + to_provision: Optional[resources_lib.Resources], + dryrun: bool, + stream_logs: bool, + cluster_name: str, + retry_until_up: bool = False, + skip_unnecessary_provisioning: bool = False, + ) -> Optional[CloudVmRayResourceHandle]: + """Provisions the cluster, or re-provisions an existing cluster. + + Use the SKYPILOT provisioner if it's supported by the cloud, otherwise + use 'ray up'. + + See also docstring for Backend.provision(). Raises: exceptions.ClusterOwnerIdentityMismatchError: if the cluster @@ -2789,7 +2829,8 @@ def _provision( rich_utils.force_update_status( ux_utils.spinner_message('Launching', log_path)) config_dict = retry_provisioner.provision_with_retries( - task, to_provision_config, dryrun, stream_logs) + task, to_provision_config, dryrun, stream_logs, + skip_unnecessary_provisioning) break except exceptions.ResourcesUnavailableError as e: # Do not remove the stopped cluster from the global state @@ -2839,11 +2880,23 @@ def _provision( record = global_user_state.get_cluster_from_name(cluster_name) return record['handle'] if record is not None else None + if config_dict['provisioning_skipped']: + # Skip further provisioning. + # In this case, we won't have certain fields in the config_dict + # ('handle', 'provision_record', 'resources_vars') + # We need to return the handle - but it should be the existing + # handle for the cluster. + record = global_user_state.get_cluster_from_name(cluster_name) + assert record is not None and record['handle'] is not None, ( + cluster_name, record) + return record['handle'] + if 'provision_record' in config_dict: # New provisioner is used here. handle = config_dict['handle'] provision_record = config_dict['provision_record'] resources_vars = config_dict['resources_vars'] + config_hash = config_dict.get('config_hash', None) # Setup SkyPilot runtime after the cluster is provisioned # 1. Wait for SSH to be ready. @@ -2878,7 +2931,7 @@ def _provision( self._update_after_cluster_provisioned( handle, to_provision_config.prev_handle, task, prev_cluster_status, handle.external_ips(), - handle.external_ssh_ports(), lock_path) + handle.external_ssh_ports(), lock_path, config_hash) return handle cluster_config_file = config_dict['ray'] @@ -2950,7 +3003,8 @@ def _get_zone(runner): self._update_after_cluster_provisioned( handle, to_provision_config.prev_handle, task, - prev_cluster_status, ip_list, ssh_port_list, lock_path) + prev_cluster_status, ip_list, ssh_port_list, lock_path, + config_hash) return handle def _open_ports(self, handle: CloudVmRayResourceHandle) -> None: @@ -2968,8 +3022,8 @@ def _update_after_cluster_provisioned( prev_handle: Optional[CloudVmRayResourceHandle], task: task_lib.Task, prev_cluster_status: Optional[status_lib.ClusterStatus], - ip_list: List[str], ssh_port_list: List[int], - lock_path: str) -> None: + ip_list: List[str], ssh_port_list: List[int], lock_path: str, + config_hash: str) -> None: usage_lib.messages.usage.update_cluster_resources( handle.launched_nodes, handle.launched_resources) usage_lib.messages.usage.update_final_cluster_status( @@ -3029,6 +3083,7 @@ def _update_after_cluster_provisioned( handle, set(task.resources), ready=True, + config_hash=config_hash, ) usage_lib.messages.usage.update_final_cluster_status( status_lib.ClusterStatus.UP) @@ -4348,6 +4403,7 @@ def _check_existing_cluster( # cluster is terminated (through console or auto-dwon), the record will # become None and the cluster_ever_up should be considered as False. cluster_ever_up = record is not None and record['cluster_ever_up'] + prev_config_hash = record['config_hash'] if record is not None else None logger.debug(f'cluster_ever_up: {cluster_ever_up}') logger.debug(f'record: {record}') @@ -4386,7 +4442,8 @@ def _check_existing_cluster( handle.launched_nodes, prev_cluster_status=prev_cluster_status, prev_handle=handle, - prev_cluster_ever_up=cluster_ever_up) + prev_cluster_ever_up=cluster_ever_up, + prev_config_hash=prev_config_hash) usage_lib.messages.usage.set_new_cluster() # Use the task_cloud, because the cloud in `to_provision` can be changed # later during the retry. @@ -4427,7 +4484,8 @@ def _check_existing_cluster( task.num_nodes, prev_cluster_status=None, prev_handle=None, - prev_cluster_ever_up=False) + prev_cluster_ever_up=False, + prev_config_hash=prev_config_hash) def _execute_file_mounts(self, handle: CloudVmRayResourceHandle, file_mounts: Optional[Dict[Path, Path]]): diff --git a/sky/backends/local_docker_backend.py b/sky/backends/local_docker_backend.py index 2cc3f3347a5..c10e51e7975 100644 --- a/sky/backends/local_docker_backend.py +++ b/sky/backends/local_docker_backend.py @@ -131,13 +131,14 @@ def check_resources_fit_cluster(self, handle: 'LocalDockerResourceHandle', pass def _provision( - self, - task: 'task_lib.Task', - to_provision: Optional['resources.Resources'], - dryrun: bool, - stream_logs: bool, - cluster_name: str, - retry_until_up: bool = False + self, + task: 'task_lib.Task', + to_provision: Optional['resources.Resources'], + dryrun: bool, + stream_logs: bool, + cluster_name: str, + retry_until_up: bool = False, + skip_unnecessary_provisioning: bool = False, ) -> Optional[LocalDockerResourceHandle]: """Builds docker image for the task and returns cluster name as handle. @@ -153,6 +154,9 @@ def _provision( logger.warning( f'Retrying until up is not supported in backend: {self.NAME}. ' 'Ignored the flag.') + if skip_unnecessary_provisioning: + logger.warning(f'skip_unnecessary_provisioning is not supported in ' + f'backend: {self.NAME}. Ignored the flag.') if stream_logs: logger.info( 'Streaming build logs is not supported in LocalDockerBackend. ' diff --git a/sky/clouds/service_catalog/common.py b/sky/clouds/service_catalog/common.py index 387d695d637..67c6e09b27e 100644 --- a/sky/clouds/service_catalog/common.py +++ b/sky/clouds/service_catalog/common.py @@ -15,6 +15,7 @@ from sky.clouds import cloud as cloud_lib from sky.clouds import cloud_registry from sky.clouds.service_catalog import constants +from sky.utils import common_utils from sky.utils import rich_utils from sky.utils import ux_utils @@ -69,8 +70,7 @@ def is_catalog_modified(filename: str) -> bool: meta_path = os.path.join(_ABSOLUTE_VERSIONED_CATALOG_DIR, '.meta', filename) md5_filepath = meta_path + '.md5' if os.path.exists(md5_filepath): - with open(catalog_path, 'rb') as f: - file_md5 = hashlib.md5(f.read()).hexdigest() + file_md5 = common_utils.hash_file(catalog_path, 'md5').hexdigest() with open(md5_filepath, 'r', encoding='utf-8') as f: last_md5 = f.read() return file_md5 != last_md5 diff --git a/sky/execution.py b/sky/execution.py index 103dcf5ee83..7392d510b17 100644 --- a/sky/execution.py +++ b/sky/execution.py @@ -108,6 +108,7 @@ def _execute( idle_minutes_to_autostop: Optional[int] = None, no_setup: bool = False, clone_disk_from: Optional[str] = None, + skip_unnecessary_provisioning: bool = False, # Internal only: # pylint: disable=invalid-name _is_launched_by_jobs_controller: bool = False, @@ -128,8 +129,9 @@ def _execute( Note that if errors occur during provisioning/data syncing/setting up, the cluster will not be torn down for debugging purposes. stream_logs: bool; whether to stream all tasks' outputs to the client. - handle: Optional[backends.ResourceHandle]; if provided, execution will use - an existing backend cluster handle instead of provisioning a new one. + handle: Optional[backends.ResourceHandle]; if provided, execution will + attempt to use an existing backend cluster handle instead of + provisioning a new one. backend: Backend; backend to use for executing the tasks. Defaults to CloudVmRayBackend() retry_until_up: bool; whether to retry the provisioning until the cluster @@ -150,6 +152,11 @@ def _execute( idle_minutes_to_autostop: int; if provided, the cluster will be set to autostop after this many minutes of idleness. no_setup: bool; whether to skip setup commands or not when (re-)launching. + clone_disk_from: Optional[str]; if set, clone the disk from the specified + cluster. + skip_unecessary_provisioning: bool; if True, compare the calculated + cluster config to the current cluster's config. If they match, shortcut + provisioning even if we have Stage.PROVISION. Returns: job_id: Optional[int]; the job ID of the submitted job. None if the @@ -288,13 +295,18 @@ def _execute( try: if Stage.PROVISION in stages: - if handle is None: - handle = backend.provision(task, - task.best_resources, - dryrun=dryrun, - stream_logs=stream_logs, - cluster_name=cluster_name, - retry_until_up=retry_until_up) + assert handle is None or skip_unnecessary_provisioning, ( + 'Provisioning requested, but handle is already set. PROVISION ' + 'should be excluded from stages or ' + 'skip_unecessary_provisioning should be set. ') + handle = backend.provision( + task, + task.best_resources, + dryrun=dryrun, + stream_logs=stream_logs, + cluster_name=cluster_name, + retry_until_up=retry_until_up, + skip_unnecessary_provisioning=skip_unnecessary_provisioning) if handle is None: assert dryrun, ('If not dryrun, handle must be set or ' @@ -469,6 +481,7 @@ def launch( handle = None stages = None + skip_unnecessary_provisioning = False # Check if cluster exists and we are doing fast provisioning if fast and cluster_name is not None: cluster_status, maybe_handle = ( @@ -502,12 +515,16 @@ def launch( if cluster_status == status_lib.ClusterStatus.UP: handle = maybe_handle stages = [ + # Provisioning will be short-circuited if the existing + # cluster config hash matches the calculated one. + Stage.PROVISION, Stage.SYNC_WORKDIR, Stage.SYNC_FILE_MOUNTS, Stage.PRE_EXEC, Stage.EXEC, Stage.DOWN, ] + skip_unnecessary_provisioning = True return _execute( entrypoint=entrypoint, @@ -525,6 +542,7 @@ def launch( idle_minutes_to_autostop=idle_minutes_to_autostop, no_setup=no_setup, clone_disk_from=clone_disk_from, + skip_unnecessary_provisioning=skip_unnecessary_provisioning, _is_launched_by_jobs_controller=_is_launched_by_jobs_controller, _is_launched_by_sky_serve_controller= _is_launched_by_sky_serve_controller, diff --git a/sky/global_user_state.py b/sky/global_user_state.py index e9f15df4f52..2a5cbc7eb3f 100644 --- a/sky/global_user_state.py +++ b/sky/global_user_state.py @@ -61,7 +61,8 @@ def create_table(cursor, conn): cluster_hash TEXT DEFAULT null, storage_mounts_metadata BLOB DEFAULT null, cluster_ever_up INTEGER DEFAULT 0, - status_updated_at INTEGER DEFAULT null)""") + status_updated_at INTEGER DEFAULT null, + config_hash TEXT DEFAULT null)""") # Table for Cluster History # usage_intervals: List[Tuple[int, int]] @@ -135,6 +136,9 @@ def create_table(cursor, conn): db_utils.add_column_to_table(cursor, conn, 'clusters', 'status_updated_at', 'INTEGER DEFAULT null') + db_utils.add_column_to_table(cursor, conn, 'clusters', 'config_hash', + 'TEXT DEFAULT null') + conn.commit() @@ -145,7 +149,8 @@ def add_or_update_cluster(cluster_name: str, cluster_handle: 'backends.ResourceHandle', requested_resources: Optional[Set[Any]], ready: bool, - is_launch: bool = True): + is_launch: bool = True, + config_hash: Optional[str] = None): """Adds or updates cluster_name -> cluster_handle mapping. Args: @@ -197,7 +202,8 @@ def add_or_update_cluster(cluster_name: str, # specified. '(name, launched_at, handle, last_use, status, ' 'autostop, to_down, metadata, owner, cluster_hash, ' - 'storage_mounts_metadata, cluster_ever_up, status_updated_at) ' + 'storage_mounts_metadata, cluster_ever_up, status_updated_at, ' + 'config_hash) ' 'VALUES (' # name '?, ' @@ -236,7 +242,9 @@ def add_or_update_cluster(cluster_name: str, # cluster_ever_up '((SELECT cluster_ever_up FROM clusters WHERE name=?) OR ?),' # status_updated_at - '?' + '?,' + # config_hash + 'COALESCE(?, (SELECT config_hash FROM clusters WHERE name=?))' ')', ( # name @@ -270,6 +278,9 @@ def add_or_update_cluster(cluster_name: str, int(ready), # status_updated_at status_updated_at, + # config_hash + config_hash, + cluster_name, )) launched_nodes = getattr(cluster_handle, 'launched_nodes', None) @@ -585,15 +596,15 @@ def get_cluster_from_name( rows = _DB.cursor.execute( 'SELECT name, launched_at, handle, last_use, status, autostop, ' 'metadata, to_down, owner, cluster_hash, storage_mounts_metadata, ' - 'cluster_ever_up, status_updated_at FROM clusters WHERE name=(?)', - (cluster_name,)).fetchall() + 'cluster_ever_up, status_updated_at, config_hash ' + 'FROM clusters WHERE name=(?)', (cluster_name,)).fetchall() for row in rows: # Explicitly specify the number of fields to unpack, so that # we can add new fields to the database in the future without # breaking the previous code. (name, launched_at, handle, last_use, status, autostop, metadata, to_down, owner, cluster_hash, storage_mounts_metadata, cluster_ever_up, - status_updated_at) = row[:13] + status_updated_at, config_hash) = row[:14] # TODO: use namedtuple instead of dict record = { 'name': name, @@ -610,6 +621,7 @@ def get_cluster_from_name( _load_storage_mounts_metadata(storage_mounts_metadata), 'cluster_ever_up': bool(cluster_ever_up), 'status_updated_at': status_updated_at, + 'config_hash': config_hash, } return record return None @@ -619,13 +631,13 @@ def get_clusters() -> List[Dict[str, Any]]: rows = _DB.cursor.execute( 'select name, launched_at, handle, last_use, status, autostop, ' 'metadata, to_down, owner, cluster_hash, storage_mounts_metadata, ' - 'cluster_ever_up, status_updated_at from clusters ' - 'order by launched_at desc').fetchall() + 'cluster_ever_up, status_updated_at, config_hash ' + 'from clusters order by launched_at desc').fetchall() records = [] for row in rows: (name, launched_at, handle, last_use, status, autostop, metadata, to_down, owner, cluster_hash, storage_mounts_metadata, cluster_ever_up, - status_updated_at) = row[:13] + status_updated_at, config_hash) = row[:14] # TODO: use namedtuple instead of dict record = { 'name': name, @@ -642,6 +654,7 @@ def get_clusters() -> List[Dict[str, Any]]: _load_storage_mounts_metadata(storage_mounts_metadata), 'cluster_ever_up': bool(cluster_ever_up), 'status_updated_at': status_updated_at, + 'config_hash': config_hash, } records.append(record) diff --git a/sky/utils/common_utils.py b/sky/utils/common_utils.py index 5fce435b770..3fcdd24e505 100644 --- a/sky/utils/common_utils.py +++ b/sky/utils/common_utils.py @@ -697,3 +697,22 @@ def truncate_long_string(s: str, max_length: int = 35) -> str: if len(prefix) < max_length: prefix += s[len(prefix):max_length] return prefix + '...' + + +def hash_file(path: str, hash_alg: str) -> 'hashlib._Hash': + # In python 3.11, hashlib.file_digest is available, but for <3.11 we have to + # do it manually. + # This implementation is simplified from the implementation in CPython. + # TODO(cooperc): Use hashlib.file_digest once we move to 3.11+. + # Beware of f.read() as some files may be larger than memory. + with open(path, 'rb') as f: + file_hash = hashlib.new(hash_alg) + buf = bytearray(2**18) + view = memoryview(buf) + while True: + size = f.readinto(buf) + if size == 0: + # EOF + break + file_hash.update(view[:size]) + return file_hash diff --git a/tests/unit_tests/test_backend_utils.py b/tests/unit_tests/test_backend_utils.py index 5da4410abb9..c9aa21567c2 100644 --- a/tests/unit_tests/test_backend_utils.py +++ b/tests/unit_tests/test_backend_utils.py @@ -22,6 +22,8 @@ return_value='~/.aws/credentials') @mock.patch('sky.backends.backend_utils._get_yaml_path_from_cluster_name', return_value='/tmp/fake/path') +@mock.patch('sky.backends.backend_utils._deterministic_cluster_yaml_hash', + return_value='fake-hash') @mock.patch('sky.utils.common_utils.fill_template') def test_write_cluster_config_w_remote_identity(mock_fill_template, *mocks) -> None: From 6e5083293f0d9a9d069d51274c57f0e59e47e5ce Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Thu, 5 Dec 2024 06:59:34 +0530 Subject: [PATCH 132/152] [k8s] Add resource limits only if they exist (#4440) Add limits only if they exist --- sky/templates/kubernetes-ray.yml.j2 | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/sky/templates/kubernetes-ray.yml.j2 b/sky/templates/kubernetes-ray.yml.j2 index 535e6f0b1ae..2087d9c6e9d 100644 --- a/sky/templates/kubernetes-ray.yml.j2 +++ b/sky/templates/kubernetes-ray.yml.j2 @@ -560,6 +560,7 @@ available_node_types: # https://gitlab.com/arm-research/smarter/smarter-device-manager smarter-devices/fuse: "1" {% endif %} + {% if k8s_resource_key is not none or k8s_fuse_device_required %} limits: # Limits need to be defined for GPU/TPU requests {% if k8s_resource_key is not none %} @@ -568,7 +569,8 @@ available_node_types: {% if k8s_fuse_device_required %} smarter-devices/fuse: "1" {% endif %} - + {% endif %} + setup_commands: # Disable `unattended-upgrades` to prevent apt-get from hanging. It should be called at the beginning before the process started to avoid being blocked. (This is a temporary fix.) # Create ~/.ssh/config file in case the file does not exist in the image. From 84f09efc3ee86089b45e19a6c668b5d7161ef0f6 Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Sat, 7 Dec 2024 17:08:21 -0800 Subject: [PATCH 133/152] [robustness] cover some potential resource leakage cases (#4443) * if a newly-created cluster is missing from the cloud, wait before deleting Addresses #4431. * confirm cluster actually terminates before deleting from the db * avoid deleting cluster data outside the primary provision loop * tweaks * Apply suggestions from code review Co-authored-by: Zhanghao Wu * use usage_intervals for new cluster detection get_cluster_duration will include the total duration of the cluster since its initial launch, while launched_at may be reset by sky launch on an existing cluster. So this is a more accurate method to check. * fix terminating/stopping state for Lambda and Paperspace * Revert "use usage_intervals for new cluster detection" This reverts commit aa6d2e9f8462c4e68196e9a6420c6781c9ff116b. * check cloud.STATUS_VERSION before calling query_instances * avoid try/catch when querying instances * update comments --------- Co-authored-by: Zhanghao Wu --- sky/backends/backend_utils.py | 49 ++++++++++++++++++---- sky/backends/cloud_vm_ray_backend.py | 58 ++++++++++++++++++++++---- sky/provision/azure/instance.py | 2 +- sky/provision/gcp/instance.py | 2 + sky/provision/lambda_cloud/instance.py | 2 +- sky/provision/paperspace/instance.py | 3 +- 6 files changed, 95 insertions(+), 21 deletions(-) diff --git a/sky/backends/backend_utils.py b/sky/backends/backend_utils.py index 7292001cc09..a3651bdba9a 100644 --- a/sky/backends/backend_utils.py +++ b/sky/backends/backend_utils.py @@ -116,6 +116,16 @@ _ENDPOINTS_RETRY_MESSAGE = ('If the cluster was recently started, ' 'please retry after a while.') +# If a cluster is less than LAUNCH_DOUBLE_CHECK_WINDOW seconds old, and we don't +# see any instances in the cloud, the instances might be in the proccess of +# being created. We will wait LAUNCH_DOUBLE_CHECK_DELAY seconds and then double +# check to make sure there are still no instances. LAUNCH_DOUBLE_CHECK_DELAY +# should be set longer than the delay between (sending the create instance +# request) and (the instances appearing on the cloud). +# See https://github.com/skypilot-org/skypilot/issues/4431. +_LAUNCH_DOUBLE_CHECK_WINDOW = 60 +_LAUNCH_DOUBLE_CHECK_DELAY = 1 + # Include the fields that will be used for generating tags that distinguishes # the cluster in ray, to avoid the stopped cluster being discarded due to # updates in the yaml template. @@ -1926,13 +1936,12 @@ def run_ray_status_to_check_ray_cluster_healthy() -> bool: logger.debug( f'Refreshing status ({cluster_name!r}) failed to get IPs.') except RuntimeError as e: - logger.debug(str(e)) + logger.debug(common_utils.format_exception(e)) except Exception as e: # pylint: disable=broad-except # This can be raised by `external_ssh_ports()`, due to the # underlying call to kubernetes API. - logger.debug( - f'Refreshing status ({cluster_name!r}) failed: ' - f'{common_utils.format_exception(e, use_bracket=True)}') + logger.debug(f'Refreshing status ({cluster_name!r}) failed: ', + exc_info=e) return False # Determining if the cluster is healthy (UP): @@ -1959,6 +1968,24 @@ def run_ray_status_to_check_ray_cluster_healthy() -> bool: return record # All cases below are transitioning the cluster to non-UP states. + + if (not node_statuses and handle.launched_resources.cloud.STATUS_VERSION >= + clouds.StatusVersion.SKYPILOT): + # Note: launched_at is set during sky launch, even on an existing + # cluster. This will catch the case where the cluster was terminated on + # the cloud and restarted by sky launch. + time_since_launch = time.time() - record['launched_at'] + if (record['status'] == status_lib.ClusterStatus.INIT and + time_since_launch < _LAUNCH_DOUBLE_CHECK_WINDOW): + # It's possible the instances for this cluster were just created, + # and haven't appeared yet in the cloud API/console. Wait for a bit + # and check again. This is a best-effort leak prevention check. + # See https://github.com/skypilot-org/skypilot/issues/4431. + time.sleep(_LAUNCH_DOUBLE_CHECK_DELAY) + node_statuses = _query_cluster_status_via_cloud_api(handle) + # Note: even if all the node_statuses are UP now, we will still + # consider this cluster abnormal, and its status will be INIT. + if len(node_statuses) > handle.launched_nodes: # Unexpected: in the queried region more than 1 cluster with the same # constructed name tag returned. This will typically not happen unless @@ -1987,13 +2014,15 @@ def run_ray_status_to_check_ray_cluster_healthy() -> bool: f'{colorama.Style.RESET_ALL}') assert len(node_statuses) <= handle.launched_nodes - # If the node_statuses is empty, all the nodes are terminated. We can - # safely set the cluster status to TERMINATED. This handles the edge case - # where the cluster is terminated by the user manually through the UI. + # If the node_statuses is empty, it should mean that all the nodes are + # terminated and we can set the cluster status to TERMINATED. This handles + # the edge case where the cluster is terminated by the user manually through + # the UI. to_terminate = not node_statuses - # A cluster is considered "abnormal", if not all nodes are TERMINATED or - # not all nodes are STOPPED. We check that with the following logic: + # A cluster is considered "abnormal", if some (but not all) nodes are + # TERMINATED, or not all nodes are STOPPED. We check that with the following + # logic: # * Not all nodes are terminated and there's at least one node # terminated; or # * Any of the non-TERMINATED nodes is in a non-STOPPED status. @@ -2005,6 +2034,8 @@ def run_ray_status_to_check_ray_cluster_healthy() -> bool: # cluster is probably down. # * The cluster is partially terminated or stopped should be considered # abnormal. + # * The cluster is partially or completely in the INIT state, which means + # that provisioning was interrupted. This is considered abnormal. # # An abnormal cluster will transition to INIT and have any autostop setting # reset (unless it's autostopping/autodowning). diff --git a/sky/backends/cloud_vm_ray_backend.py b/sky/backends/cloud_vm_ray_backend.py index b7ef8850132..0c67ec6b328 100644 --- a/sky/backends/cloud_vm_ray_backend.py +++ b/sky/backends/cloud_vm_ray_backend.py @@ -98,6 +98,11 @@ # The maximum retry count for fetching IP address. _FETCH_IP_MAX_ATTEMPTS = 3 +# How many times to query the cloud provider to make sure instances are +# stopping/terminating, and how long to wait between each query. +_TEARDOWN_WAIT_MAX_ATTEMPTS = 10 +_TEARDOWN_WAIT_BETWEEN_ATTEMPS_SECONDS = 1 + _TEARDOWN_FAILURE_MESSAGE = ( f'\n{colorama.Fore.RED}Failed to terminate ' '{cluster_name}. {extra_reason}' @@ -2403,15 +2408,17 @@ def get_command_runners(self, zip(ip_list, port_list), **ssh_credentials) return runners if self.cached_cluster_info is None: - # We have `or self.cached_external_ips is None` here, because + # We have `and self.cached_external_ips is None` here, because # when a cluster's cloud is just upgraded to the new provsioner, # although it has the cached_external_ips, the cached_cluster_info # can be None. We need to update it here, even when force_cached is # set to True. # TODO: We can remove `self.cached_external_ips is None` after # version 0.8.0. - assert not force_cached or self.cached_external_ips is not None, ( - force_cached, self.cached_external_ips) + if force_cached and self.cached_external_ips is None: + raise RuntimeError( + 'Tried to use cached cluster info, but it\'s missing for ' + f'cluster "{self.cluster_name}"') self._update_cluster_info() assert self.cached_cluster_info is not None, self runners = provision_lib.get_command_runners( @@ -2838,9 +2845,6 @@ def _provision( if e.no_failover: error_message = str(e) else: - # Clean up the cluster's entry in `sky status`. - global_user_state.remove_cluster(cluster_name, - terminate=True) usage_lib.messages.usage.update_final_cluster_status( None) error_message = ( @@ -4027,7 +4031,6 @@ def teardown_no_lock(self, limit=1000).get_result()['items'] vpc_id = None try: - # pylint: disable=line-too-long vpc_id = vpcs_filtered_by_tags_and_region[0]['crn'].rsplit( ':', 1)[-1] vpc_found = True @@ -4036,7 +4039,6 @@ def teardown_no_lock(self, returncode = -1 if vpc_found: - # pylint: disable=line-too-long E1136 # Delete VPC and it's associated resources vpc_provider = IBMVPCProvider( config_provider['resource_group_id'], region, @@ -4138,6 +4140,7 @@ def post_teardown_cleanup(self, * Removing the terminated cluster's scripts and ray yaml files. """ cluster_name_on_cloud = handle.cluster_name_on_cloud + cloud = handle.launched_resources.cloud if (terminate and handle.launched_resources.is_image_managed is True): # Delete the image when terminating a "cloned" cluster, i.e., @@ -4158,7 +4161,6 @@ def post_teardown_cleanup(self, 'remove it manually to avoid image leakage. Details: ' f'{common_utils.format_exception(e, use_bracket=True)}') if terminate: - cloud = handle.launched_resources.cloud config = common_utils.read_yaml(handle.cluster_yaml) try: cloud.check_features_are_supported( @@ -4185,6 +4187,44 @@ def post_teardown_cleanup(self, config = common_utils.read_yaml(handle.cluster_yaml) backend_utils.SSHConfigHelper.remove_cluster(handle.cluster_name) + # Confirm that instances have actually transitioned state before + # updating the state database. We do this immediately before removing + # the state from the database, so that we can guarantee that this is + # always called before the state is removed. We considered running this + # check as part of provisioner.teardown_cluster or + # provision.terminate_instances, but it would open the door code paths + # that successfully call this function but do not first call + # teardown_cluster or terminate_instances. See + # https://github.com/skypilot-org/skypilot/pull/4443#discussion_r1872798032 + attempts = 0 + while True: + logger.debug(f'instance statuses attempt {attempts + 1}') + node_status_dict = provision_lib.query_instances( + repr(cloud), + cluster_name_on_cloud, + config['provider'], + non_terminated_only=False) + + unexpected_node_state: Optional[Tuple[str, str]] = None + for node_id, node_status in node_status_dict.items(): + logger.debug(f'{node_id} status: {node_status}') + # FIXME(cooperc): Some clouds (e.g. GCP) do not distinguish + # between "stopping/stopped" and "terminating/terminated", so we + # allow for either status instead of casing on `terminate`. + if node_status not in [None, status_lib.ClusterStatus.STOPPED]: + unexpected_node_state = (node_id, node_status) + + if unexpected_node_state is None: + break + + attempts += 1 + if attempts < _TEARDOWN_WAIT_MAX_ATTEMPTS: + time.sleep(_TEARDOWN_WAIT_BETWEEN_ATTEMPS_SECONDS) + else: + (node_id, node_status) = unexpected_node_state + raise RuntimeError(f'Instance {node_id} in unexpected state ' + f'{node_status}.') + global_user_state.remove_cluster(handle.cluster_name, terminate=terminate) diff --git a/sky/provision/azure/instance.py b/sky/provision/azure/instance.py index 700d31c597f..229d7361e22 100644 --- a/sky/provision/azure/instance.py +++ b/sky/provision/azure/instance.py @@ -101,8 +101,8 @@ def cluster_status_map( ) -> Dict['AzureInstanceStatus', Optional[status_lib.ClusterStatus]]: return { cls.PENDING: status_lib.ClusterStatus.INIT, - cls.STOPPING: status_lib.ClusterStatus.INIT, cls.RUNNING: status_lib.ClusterStatus.UP, + cls.STOPPING: status_lib.ClusterStatus.STOPPED, cls.STOPPED: status_lib.ClusterStatus.STOPPED, cls.DELETING: None, } diff --git a/sky/provision/gcp/instance.py b/sky/provision/gcp/instance.py index 9872ad73dc7..6c09dbc6816 100644 --- a/sky/provision/gcp/instance.py +++ b/sky/provision/gcp/instance.py @@ -52,6 +52,8 @@ def _filter_instances( # non_terminated_only=True? # Will there be callers who would want this to be False? # stop() and terminate() for example already implicitly assume non-terminated. +# Currently, even with non_terminated_only=False, we may not have a dict entry +# for terminated instances, if they have already been fully deleted. @common_utils.retry def query_instances( cluster_name_on_cloud: str, diff --git a/sky/provision/lambda_cloud/instance.py b/sky/provision/lambda_cloud/instance.py index d10c36496ab..d33c97df95c 100644 --- a/sky/provision/lambda_cloud/instance.py +++ b/sky/provision/lambda_cloud/instance.py @@ -233,7 +233,7 @@ def query_instances( 'booting': status_lib.ClusterStatus.INIT, 'active': status_lib.ClusterStatus.UP, 'unhealthy': status_lib.ClusterStatus.INIT, - 'terminating': status_lib.ClusterStatus.INIT, + 'terminating': None, } statuses: Dict[str, Optional[status_lib.ClusterStatus]] = {} for instance_id, instance in instances.items(): diff --git a/sky/provision/paperspace/instance.py b/sky/provision/paperspace/instance.py index 5804362d102..6775304c8f7 100644 --- a/sky/provision/paperspace/instance.py +++ b/sky/provision/paperspace/instance.py @@ -286,12 +286,13 @@ def query_instances( assert provider_config is not None, (cluster_name_on_cloud, provider_config) instances = _filter_instances(cluster_name_on_cloud, None) + # https://docs.digitalocean.com/reference/paperspace/core/commands/machines/#show status_map = { 'starting': status_lib.ClusterStatus.INIT, 'restarting': status_lib.ClusterStatus.INIT, 'upgrading': status_lib.ClusterStatus.INIT, 'provisioning': status_lib.ClusterStatus.INIT, - 'stopping': status_lib.ClusterStatus.INIT, + 'stopping': status_lib.ClusterStatus.STOPPED, 'serviceready': status_lib.ClusterStatus.INIT, 'ready': status_lib.ClusterStatus.UP, 'off': status_lib.ClusterStatus.STOPPED, From ace064c5fdf91d34e738dae8c0cd30e1c011528d Mon Sep 17 00:00:00 2001 From: zpoint Date: Mon, 9 Dec 2024 11:02:08 +0800 Subject: [PATCH 134/152] smoke tests support storage mount only (#4446) * smoke tests support storage mount only * fix verify command * rename to only_mount --- tests/test_smoke.py | 147 +++++++++--------- .../test_yamls/test_storage_mounting.yaml.j2 | 10 +- 2 files changed, 77 insertions(+), 80 deletions(-) diff --git a/tests/test_smoke.py b/tests/test_smoke.py index f37467417fa..79920147adb 100644 --- a/tests/test_smoke.py +++ b/tests/test_smoke.py @@ -37,7 +37,7 @@ import tempfile import textwrap import time -from typing import Dict, List, NamedTuple, Optional, Tuple +from typing import Dict, List, NamedTuple, Optional, TextIO, Tuple import urllib.parse import uuid @@ -1333,34 +1333,68 @@ def test_using_file_mounts_with_env_vars(generic_cloud: str): # ---------- storage ---------- + + +def _storage_mounts_commands_generator(f: TextIO, cluster_name: str, + storage_name: str, ls_hello_command: str, + cloud: str, only_mount: bool): + template_str = pathlib.Path( + 'tests/test_yamls/test_storage_mounting.yaml.j2').read_text() + template = jinja2.Template(template_str) + content = template.render( + storage_name=storage_name, + cloud=cloud, + only_mount=only_mount, + ) + f.write(content) + f.flush() + file_path = f.name + test_commands = [ + *STORAGE_SETUP_COMMANDS, + f'sky launch -y -c {cluster_name} --cloud {cloud} {file_path}', + f'sky logs {cluster_name} 1 --status', # Ensure job succeeded. + ls_hello_command, + f'sky stop -y {cluster_name}', + f'sky start -y {cluster_name}', + # Check if hello.txt from mounting bucket exists after restart in + # the mounted directory + f'sky exec {cluster_name} -- "set -ex; ls /mount_private_mount/hello.txt"', + ] + clean_command = f'sky down -y {cluster_name}; sky storage delete -y {storage_name}' + return test_commands, clean_command + + @pytest.mark.aws def test_aws_storage_mounts_with_stop(): name = _get_cluster_name() cloud = 'aws' storage_name = f'sky-test-{int(time.time())}' - template_str = pathlib.Path( - 'tests/test_yamls/test_storage_mounting.yaml.j2').read_text() - template = jinja2.Template(template_str) - content = template.render(storage_name=storage_name, cloud=cloud) + ls_hello_command = f'aws s3 ls {storage_name}/hello.txt' with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: - f.write(content) - f.flush() - file_path = f.name - test_commands = [ - *STORAGE_SETUP_COMMANDS, - f'sky launch -y -c {name} --cloud {cloud} {file_path}', - f'sky logs {name} 1 --status', # Ensure job succeeded. - f'aws s3 ls {storage_name}/hello.txt', - f'sky stop -y {name}', - f'sky start -y {name}', - # Check if hello.txt from mounting bucket exists after restart in - # the mounted directory - f'sky exec {name} -- "set -ex; ls /mount_private_mount/hello.txt"' - ] + test_commands, clean_command = _storage_mounts_commands_generator( + f, name, storage_name, ls_hello_command, cloud, False) test = Test( 'aws_storage_mounts', test_commands, - f'sky down -y {name}; sky storage delete -y {storage_name}', + clean_command, + timeout=20 * 60, # 20 mins + ) + run_one_test(test) + + +@pytest.mark.aws +def test_aws_storage_mounts_with_stop_only_mount(): + name = _get_cluster_name() + cloud = 'aws' + storage_name = f'sky-test-{int(time.time())}' + ls_hello_command = f'aws s3 ls {storage_name}/hello.txt' + with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: + test_commands, clean_command = _storage_mounts_commands_generator( + f, name, storage_name, ls_hello_command, cloud, True) + test = Test( + 'aws_storage_mounts_only_mount', + test_commands, + clean_command, timeout=20 * 60, # 20 mins ) run_one_test(test) @@ -1371,29 +1405,14 @@ def test_gcp_storage_mounts_with_stop(): name = _get_cluster_name() cloud = 'gcp' storage_name = f'sky-test-{int(time.time())}' - template_str = pathlib.Path( - 'tests/test_yamls/test_storage_mounting.yaml.j2').read_text() - template = jinja2.Template(template_str) - content = template.render(storage_name=storage_name, cloud=cloud) + ls_hello_command = f'gsutil ls gs://{storage_name}/hello.txt' with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: - f.write(content) - f.flush() - file_path = f.name - test_commands = [ - *STORAGE_SETUP_COMMANDS, - f'sky launch -y -c {name} --cloud {cloud} {file_path}', - f'sky logs {name} 1 --status', # Ensure job succeeded. - f'gsutil ls gs://{storage_name}/hello.txt', - f'sky stop -y {name}', - f'sky start -y {name}', - # Check if hello.txt from mounting bucket exists after restart in - # the mounted directory - f'sky exec {name} -- "set -ex; ls /mount_private_mount/hello.txt"' - ] + test_commands, clean_command = _storage_mounts_commands_generator( + f, name, storage_name, ls_hello_command, cloud, False) test = Test( 'gcp_storage_mounts', test_commands, - f'sky down -y {name}; sky storage delete -y {storage_name}', + clean_command, timeout=20 * 60, # 20 mins ) run_one_test(test) @@ -1409,31 +1428,19 @@ def test_azure_storage_mounts_with_stop(): get_default_storage_account_name(default_region)) storage_account_key = data_utils.get_az_storage_account_key( storage_account_name) - template_str = pathlib.Path( - 'tests/test_yamls/test_storage_mounting.yaml.j2').read_text() - template = jinja2.Template(template_str) - content = template.render(storage_name=storage_name, cloud=cloud) + # if the file does not exist, az storage blob list returns '[]' + ls_hello_command = (f'output=$(az storage blob list -c {storage_name} ' + f'--account-name {storage_account_name} ' + f'--account-key {storage_account_key} ' + f'--prefix hello.txt) ' + f'[ "$output" = "[]" ] && exit 1 || exit 0') with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: - f.write(content) - f.flush() - file_path = f.name - test_commands = [ - *STORAGE_SETUP_COMMANDS, - f'sky launch -y -c {name} --cloud {cloud} {file_path}', - f'sky logs {name} 1 --status', # Ensure job succeeded. - f'output=$(az storage blob list -c {storage_name} --account-name {storage_account_name} --account-key {storage_account_key} --prefix hello.txt)' - # if the file does not exist, az storage blob list returns '[]' - f'[ "$output" = "[]" ] && exit 1;' - f'sky stop -y {name}', - f'sky start -y {name}', - # Check if hello.txt from mounting bucket exists after restart in - # the mounted directory - f'sky exec {name} -- "set -ex; ls /mount_private_mount/hello.txt"' - ] + test_commands, clean_command = _storage_mounts_commands_generator( + f, name, storage_name, ls_hello_command, cloud, False) test = Test( 'azure_storage_mounts', test_commands, - f'sky down -y {name}; sky storage delete -y {storage_name}', + clean_command, timeout=20 * 60, # 20 mins ) run_one_test(test) @@ -1446,25 +1453,15 @@ def test_kubernetes_storage_mounts(): # built for x86_64 only. name = _get_cluster_name() storage_name = f'sky-test-{int(time.time())}' - template_str = pathlib.Path( - 'tests/test_yamls/test_storage_mounting.yaml.j2').read_text() - template = jinja2.Template(template_str) - content = template.render(storage_name=storage_name) + ls_hello_command = (f'aws s3 ls {storage_name}/hello.txt || ' + f'gsutil ls gs://{storage_name}/hello.txt') with tempfile.NamedTemporaryFile(suffix='.yaml', mode='w') as f: - f.write(content) - f.flush() - file_path = f.name - test_commands = [ - *STORAGE_SETUP_COMMANDS, - f'sky launch -y -c {name} --cloud kubernetes {file_path}', - f'sky logs {name} 1 --status', # Ensure job succeeded. - f'aws s3 ls {storage_name}/hello.txt || ' - f'gsutil ls gs://{storage_name}/hello.txt', - ] + test_commands, clean_command = _storage_mounts_commands_generator( + f, name, storage_name, ls_hello_command, 'kubernetes', False) test = Test( 'kubernetes_storage_mounts', test_commands, - f'sky down -y {name}; sky storage delete -y {storage_name}', + clean_command, timeout=20 * 60, # 20 mins ) run_one_test(test) diff --git a/tests/test_yamls/test_storage_mounting.yaml.j2 b/tests/test_yamls/test_storage_mounting.yaml.j2 index 4241c63409e..651fb190012 100644 --- a/tests/test_yamls/test_storage_mounting.yaml.j2 +++ b/tests/test_yamls/test_storage_mounting.yaml.j2 @@ -20,13 +20,13 @@ file_mounts: /mount_private_copy: name: {{storage_name}} source: ~/tmp-workdir - mode: COPY + mode: {% if only_mount | default(false) %}MOUNT{% else %}COPY{% endif %} # Mounting private buckets in COPY mode with a list of files as source /mount_private_copy_lof: name: {{storage_name}} source: ['~/tmp-workdir/tmp file', '~/tmp-workdir/tmp file2'] - mode: COPY + mode: {% if only_mount | default(false) %}MOUNT{% else %}COPY{% endif %} {% if include_private_mount | default(True) %} # Mounting private buckets in MOUNT mode @@ -38,7 +38,7 @@ file_mounts: run: | set -ex - + # Check public bucket contents ls -ltr /mount_public_s3/corpora ls -ltr /mount_public_gcp/tiles @@ -55,12 +55,12 @@ run: | ls -ltr /mount_private_mount/foo ls -ltr /mount_private_mount/tmp\ file {% endif %} - + # Symlinks are not copied to buckets ! ls /mount_private_copy/circle-link {% if include_private_mount | default(True) %} ! ls /mount_private_mount/circle-link - + # Write to private bucket in MOUNT mode should pass echo "hello" > /mount_private_mount/hello.txt {% endif %} From f60e3850b6b18e31b910bfe0a8552c719847c597 Mon Sep 17 00:00:00 2001 From: Hong Date: Tue, 10 Dec 2024 01:48:22 +0800 Subject: [PATCH 135/152] [Feature] support spot pod on RunPod (#4447) * wip * wip * wip * wip * wip * wip * resolve comments * wip * wip * wip * wip * wip * wip --------- Co-authored-by: hwei --- sky/clouds/runpod.py | 19 ++-- sky/provision/runpod/api/__init__.py | 3 + sky/provision/runpod/api/commands.py | 120 ++++++++++++++++++++++ sky/provision/runpod/api/pods.py | 142 +++++++++++++++++++++++++++ sky/provision/runpod/instance.py | 5 +- sky/provision/runpod/utils.py | 50 ++++++---- sky/templates/runpod-ray.yml.j2 | 2 + 7 files changed, 314 insertions(+), 27 deletions(-) create mode 100644 sky/provision/runpod/api/__init__.py create mode 100644 sky/provision/runpod/api/commands.py create mode 100644 sky/provision/runpod/api/pods.py diff --git a/sky/clouds/runpod.py b/sky/clouds/runpod.py index 487793ecf97..6ddbfe0f1e9 100644 --- a/sky/clouds/runpod.py +++ b/sky/clouds/runpod.py @@ -24,8 +24,6 @@ class RunPod(clouds.Cloud): _REPR = 'RunPod' _CLOUD_UNSUPPORTED_FEATURES = { clouds.CloudImplementationFeatures.STOP: 'Stopping not supported.', - clouds.CloudImplementationFeatures.SPOT_INSTANCE: - ('Spot is not supported, as runpod API does not implement spot.'), clouds.CloudImplementationFeatures.MULTI_NODE: ('Multi-node not supported yet, as the interconnection among nodes ' 'are non-trivial on RunPod.'), @@ -70,11 +68,8 @@ def regions_with_offering(cls, instance_type: str, zone: Optional[str]) -> List[clouds.Region]: assert zone is None, 'RunPod does not support zones.' del accelerators, zone # unused - if use_spot: - return [] - else: - regions = service_catalog.get_region_zones_for_instance_type( - instance_type, use_spot, 'runpod') + regions = service_catalog.get_region_zones_for_instance_type( + instance_type, use_spot, 'runpod') if region is not None: regions = [r for r in regions if r.name == region] @@ -176,11 +171,19 @@ def make_deploy_resources_variables( else: image_id = r.image_id[r.region] + instance_type = resources.instance_type + use_spot = resources.use_spot + + hourly_cost = self.instance_type_to_hourly_cost( + instance_type=instance_type, use_spot=use_spot) + return { - 'instance_type': resources.instance_type, + 'instance_type': instance_type, 'custom_resources': custom_resources, 'region': region.name, 'image_id': image_id, + 'use_spot': use_spot, + 'bid_per_gpu': str(hourly_cost), } def _get_feasible_launchable_resources( diff --git a/sky/provision/runpod/api/__init__.py b/sky/provision/runpod/api/__init__.py new file mode 100644 index 00000000000..e6826dcaa98 --- /dev/null +++ b/sky/provision/runpod/api/__init__.py @@ -0,0 +1,3 @@ +"""RunPod low level API support for spot pod.""" + +from sky.provision.runpod.api.commands import create_spot_pod diff --git a/sky/provision/runpod/api/commands.py b/sky/provision/runpod/api/commands.py new file mode 100644 index 00000000000..3a01b522ceb --- /dev/null +++ b/sky/provision/runpod/api/commands.py @@ -0,0 +1,120 @@ +"""This module provides functions to generate GraphQL mutations for deploying +spot instance Pods on RunPod. + +Reference: + https://github.com/runpod/runpod-python/blob/main/runpod/api/ctl_commands.py + +Functions: + generate_spot_pod_deployment_mutation: Generates a GraphQL mutation string + for deploying a spot instance Pod on RunPod. + +Example: + >>> mutation = generate_spot_pod_deployment_mutation( + name='test', + image_name='runpod/stack', + gpu_type_id='NVIDIA GeForce RTX 3070', + bid_per_gpu=0.3 + ) +""" +from typing import List, Optional + +import runpod + +from sky.provision.runpod.api.pods import generate_spot_pod_deployment_mutation + +_INTERRUPTABLE_POD_FIELD: str = 'podRentInterruptable' +_RESPONSE_DATA_FIELD: str = 'data' + + +def create_spot_pod( + name: str, + image_name: str, + gpu_type_id: str, + bid_per_gpu: float, + cloud_type: str = 'ALL', + volume_mount_path: str = '/runpod-volume', + gpu_count: Optional[int] = 1, + min_memory_in_gb: Optional[int] = 1, + min_vcpu_count: Optional[int] = 1, + container_disk_in_gb: Optional[int] = None, + volume_in_gb: Optional[int] = 0, + ports: Optional[str] = None, + start_ssh: Optional[bool] = True, + start_jupyter: Optional[bool] = False, + env: Optional[dict] = None, + docker_args: Optional[str] = '', + support_public_ip: Optional[bool] = True, + terminate_after: Optional[str] = None, + stop_after: Optional[str] = None, + data_center_id: Optional[str] = None, + country_code: Optional[str] = None, + network_volume_id: Optional[str] = None, + allowed_cuda_versions: Optional[List[str]] = None, + min_download: Optional[int] = None, + min_upload: Optional[int] = None, + cuda_version: Optional[str] = None, + template_id: Optional[str] = None, + volume_key: Optional[str] = None, +) -> dict: + """This module provides functions to generate GraphQL mutations for + deploying spot instance Pods on RunPod. + + Functions: + generate_spot_pod_deployment_mutation: Generates a GraphQL mutation + string for deploying a spot instance Pod on RunPod. + + Example: + >>> mutation = generate_spot_pod_deployment_mutation( + name='test', + image_name='runpod/stack', + gpu_type_id='NVIDIA GeForce RTX 3070', + bid_per_gpu=0.3 + ) + """ + runpod.get_gpu(gpu_type_id) + # refer to https://graphql-spec.runpod.io/#definition-CloudTypeEnum + if cloud_type not in ['ALL', 'COMMUNITY', 'SECURE']: + raise ValueError('cloud_type must be one of ALL, COMMUNITY or SECURE') + + if network_volume_id and data_center_id is None: + user_info = runpod.get_user() + for network_volume in user_info['networkVolumes']: + if network_volume['id'] == network_volume_id: + data_center_id = network_volume['dataCenterId'] + break + + if container_disk_in_gb is None and template_id is None: + container_disk_in_gb = 10 + + mutation = generate_spot_pod_deployment_mutation( + name=name, + image_name=image_name, + gpu_type_id=gpu_type_id, + bid_per_gpu=bid_per_gpu, + cloud_type=cloud_type, + gpu_count=gpu_count, + min_memory_in_gb=min_memory_in_gb, + min_vcpu_count=min_vcpu_count, + container_disk_in_gb=container_disk_in_gb, + volume_in_gb=volume_in_gb, + volume_mount_path=volume_mount_path, + ports=ports, + start_ssh=start_ssh, + start_jupyter=start_jupyter, + env=env, + docker_args=docker_args, + support_public_ip=support_public_ip, + terminate_after=terminate_after, + stop_after=stop_after, + data_center_id=data_center_id, + country_code=country_code, + network_volume_id=network_volume_id, + allowed_cuda_versions=allowed_cuda_versions, + min_download=min_download, + min_upload=min_upload, + cuda_version=cuda_version, + template_id=template_id, + volume_key=volume_key, + ) + response = runpod.api.graphql.run_graphql_query(mutation) + return response[_RESPONSE_DATA_FIELD][_INTERRUPTABLE_POD_FIELD] diff --git a/sky/provision/runpod/api/pods.py b/sky/provision/runpod/api/pods.py new file mode 100644 index 00000000000..8a232cfbdcc --- /dev/null +++ b/sky/provision/runpod/api/pods.py @@ -0,0 +1,142 @@ +"""This module provides functions to generate GraphQL mutations for deploying +spot instance Pods on RunPod. + +Reference: + https://github.com/runpod/runpod-python/blob/main/runpod/api/mutations/pods.py + +Functions: + generate_spot_pod_deployment_mutation: Generates a GraphQL mutation string + for deploying a spot instance Pod on RunPod. +Example: + >>> mutation = generate_spot_pod_deployment_mutation( + name='test', + image_name='runpod/stack', + gpu_type_id='NVIDIA GeForce RTX 3070', + bid_per_gpu=0.3 + ) +""" + +from typing import List, Optional + + +# refer to https://graphql-spec.runpod.io/#definition-PodRentInterruptableInput +def generate_spot_pod_deployment_mutation( + name: str, + image_name: str, + gpu_type_id: str, + bid_per_gpu: float, + volume_mount_path: str, + cloud_type: str = 'ALL', + gpu_count: Optional[int] = None, + min_memory_in_gb: Optional[int] = None, + min_vcpu_count: Optional[int] = None, + container_disk_in_gb: Optional[int] = None, + volume_in_gb: Optional[int] = None, + ports: Optional[str] = None, + start_ssh: Optional[bool] = True, + start_jupyter: Optional[bool] = False, + env: Optional[dict] = None, + docker_args: Optional[str] = None, + support_public_ip: Optional[bool] = True, + terminate_after: Optional[str] = None, + stop_after: Optional[str] = None, + data_center_id: Optional[str] = None, + country_code: Optional[str] = None, + network_volume_id: Optional[str] = None, + allowed_cuda_versions: Optional[List[str]] = None, + min_download: Optional[int] = None, + min_upload: Optional[int] = None, + cuda_version: Optional[str] = None, + template_id: Optional[str] = None, + volume_key: Optional[str] = None, +) -> str: + input_fields = [] + + # Required Fields + input_fields.append(f'name: "{name}"') + input_fields.append(f'imageName: "{image_name}"') + input_fields.append(f'gpuTypeId: "{gpu_type_id}"') + input_fields.append(f'bidPerGpu: {bid_per_gpu}') + input_fields.append(f'volumeMountPath: "{volume_mount_path}"') + + # Default Fields + input_fields.append(f'cloudType: {cloud_type}') + + if start_ssh: + input_fields.append('startSsh: true') + if start_jupyter: + input_fields.append('startJupyter: true') + if support_public_ip: + input_fields.append('supportPublicIp: true') + else: + input_fields.append('supportPublicIp: false') + + # Optional Fields + if gpu_count is not None: + input_fields.append(f'gpuCount: {gpu_count}') + if min_memory_in_gb is not None: + input_fields.append(f'minMemoryInGb: {min_memory_in_gb}') + if min_vcpu_count is not None: + input_fields.append(f'minVcpuCount: {min_vcpu_count}') + if container_disk_in_gb is not None: + input_fields.append(f'containerDiskInGb: {container_disk_in_gb}') + if volume_in_gb is not None: + input_fields.append(f'volumeInGb: {volume_in_gb}') + if ports is not None: + ports = ports.replace(' ', '') + input_fields.append(f'ports: "{ports}"') + if docker_args is not None: + input_fields.append(f'dockerArgs: "{docker_args}"') + if terminate_after is not None: + input_fields.append(f'terminateAfter: "{terminate_after}"') + if stop_after is not None: + input_fields.append(f'stopAfter: "{stop_after}"') + if data_center_id is not None: + input_fields.append(f'dataCenterId: "{data_center_id}"') + if country_code is not None: + input_fields.append(f'countryCode: "{country_code}"') + if network_volume_id is not None: + input_fields.append(f'networkVolumeId: "{network_volume_id}"') + if allowed_cuda_versions is not None: + allowed_cuda_versions_string = ', '.join( + [f'"{version}"' for version in allowed_cuda_versions]) + input_fields.append( + f'allowedCudaVersions: [{allowed_cuda_versions_string}]') + if min_download is not None: + input_fields.append(f'minDownload: {min_download}') + if min_upload is not None: + input_fields.append(f'minUpload: {min_upload}') + if cuda_version is not None: + input_fields.append(f'cudaVersion: "{cuda_version}"') + if template_id is not None: + input_fields.append(f'templateId: "{template_id}"') + if volume_key is not None: + input_fields.append(f'volumeKey: "{volume_key}"') + + if env is not None: + env_string = ', '.join([ + f'{{ key: "{key}", value: "{value}" }}' + for key, value in env.items() + ]) + input_fields.append(f'env: [{env_string}]') + + # Format input fields + input_string = ', '.join(input_fields) + return f""" + mutation {{ + podRentInterruptable( + input: {{ + {input_string} + }} + ) {{ + id + desiredStatus + imageName + env + machineId + machine {{ + podHostId + }} + }} + }} + """ diff --git a/sky/provision/runpod/instance.py b/sky/provision/runpod/instance.py index 4894c304185..8f992f569d9 100644 --- a/sky/provision/runpod/instance.py +++ b/sky/provision/runpod/instance.py @@ -89,7 +89,10 @@ def run_instances(region: str, cluster_name_on_cloud: str, disk_size=config.node_config['DiskSize'], image_name=config.node_config['ImageId'], ports=config.ports_to_open_on_launch, - public_key=config.node_config['PublicKey']) + public_key=config.node_config['PublicKey'], + preemptible=config.node_config['Preemptible'], + bid_per_gpu=config.node_config['BidPerGPU'], + ) except Exception as e: # pylint: disable=broad-except logger.warning(f'run_instances error: {e}') raise diff --git a/sky/provision/runpod/utils.py b/sky/provision/runpod/utils.py index f1587463e84..d0a06b026b3 100644 --- a/sky/provision/runpod/utils.py +++ b/sky/provision/runpod/utils.py @@ -6,6 +6,7 @@ from sky import sky_logging from sky.adaptors import runpod +import sky.provision.runpod.api.commands as runpod_commands from sky.skylet import constants from sky.utils import common_utils @@ -100,7 +101,8 @@ def list_instances() -> Dict[str, Dict[str, Any]]: def launch(name: str, instance_type: str, region: str, disk_size: int, - image_name: str, ports: Optional[List[int]], public_key: str) -> str: + image_name: str, ports: Optional[List[int]], public_key: str, + preemptible: Optional[bool], bid_per_gpu: float) -> str: """Launches an instance with the given parameters. Converts the instance_type to the RunPod GPU name, finds the specs for the @@ -142,23 +144,35 @@ def launch(name: str, instance_type: str, region: str, disk_size: int, if ports is not None: custom_ports_str = ''.join([f'{p}/tcp,' for p in ports]) - new_instance = runpod.runpod.create_pod( - name=name, - image_name=image_name, - gpu_type_id=gpu_type, - cloud_type=cloud_type, - container_disk_in_gb=disk_size, - min_vcpu_count=4 * gpu_quantity, - min_memory_in_gb=gpu_specs['memoryInGb'] * gpu_quantity, - gpu_count=gpu_quantity, - country_code=region, - ports=(f'22/tcp,' - f'{custom_ports_str}' - f'{constants.SKY_REMOTE_RAY_DASHBOARD_PORT}/http,' - f'{constants.SKY_REMOTE_RAY_PORT}/http'), - support_public_ip=True, - docker_args= - f'bash -c \'echo {encoded} | base64 --decode > init.sh; bash init.sh\'') + docker_args = (f'bash -c \'echo {encoded} | base64 --decode > init.sh; ' + f'bash init.sh\'') + ports = (f'22/tcp,' + f'{custom_ports_str}' + f'{constants.SKY_REMOTE_RAY_DASHBOARD_PORT}/http,' + f'{constants.SKY_REMOTE_RAY_PORT}/http') + + params = { + 'name': name, + 'image_name': image_name, + 'gpu_type_id': gpu_type, + 'cloud_type': cloud_type, + 'container_disk_in_gb': disk_size, + 'min_vcpu_count': 4 * gpu_quantity, + 'min_memory_in_gb': gpu_specs['memoryInGb'] * gpu_quantity, + 'gpu_count': gpu_quantity, + 'country_code': region, + 'ports': ports, + 'support_public_ip': True, + 'docker_args': docker_args, + } + + if preemptible is None or not preemptible: + new_instance = runpod.runpod.create_pod(**params) + else: + new_instance = runpod_commands.create_spot_pod( + bid_per_gpu=bid_per_gpu, + **params, + ) return new_instance['id'] diff --git a/sky/templates/runpod-ray.yml.j2 b/sky/templates/runpod-ray.yml.j2 index 4d9b0637bd0..853b9142037 100644 --- a/sky/templates/runpod-ray.yml.j2 +++ b/sky/templates/runpod-ray.yml.j2 @@ -24,6 +24,8 @@ available_node_types: ImageId: {{image_id}} PublicKey: |- skypilot:ssh_public_key_content + Preemptible: {{use_spot}} + BidPerGPU: {{bid_per_gpu}} head_node_type: ray_head_default From e0368888b6e64fd42cbafc698835b7aef0ce1a4c Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Mon, 9 Dec 2024 15:08:09 -0800 Subject: [PATCH 136/152] use lazy import for runpod (#4451) Fixes runpod import issues introduced in #4447. --- sky/provision/runpod/api/commands.py | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/sky/provision/runpod/api/commands.py b/sky/provision/runpod/api/commands.py index 3a01b522ceb..82983e01308 100644 --- a/sky/provision/runpod/api/commands.py +++ b/sky/provision/runpod/api/commands.py @@ -18,8 +18,7 @@ """ from typing import List, Optional -import runpod - +from sky.adaptors import runpod from sky.provision.runpod.api.pods import generate_spot_pod_deployment_mutation _INTERRUPTABLE_POD_FIELD: str = 'podRentInterruptable' @@ -71,13 +70,13 @@ def create_spot_pod( bid_per_gpu=0.3 ) """ - runpod.get_gpu(gpu_type_id) + runpod.runpod.get_gpu(gpu_type_id) # refer to https://graphql-spec.runpod.io/#definition-CloudTypeEnum if cloud_type not in ['ALL', 'COMMUNITY', 'SECURE']: raise ValueError('cloud_type must be one of ALL, COMMUNITY or SECURE') if network_volume_id and data_center_id is None: - user_info = runpod.get_user() + user_info = runpod.runpod.get_user() for network_volume in user_info['networkVolumes']: if network_volume['id'] == network_volume_id: data_center_id = network_volume['dataCenterId'] @@ -116,5 +115,5 @@ def create_spot_pod( template_id=template_id, volume_key=volume_key, ) - response = runpod.api.graphql.run_graphql_query(mutation) + response = runpod.runpod.api.graphql.run_graphql_query(mutation) return response[_RESPONSE_DATA_FIELD][_INTERRUPTABLE_POD_FIELD] From bc4a42ec168b2a969fb47d759893eeac387224de Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Tue, 10 Dec 2024 21:18:00 -0800 Subject: [PATCH 137/152] [k8s] Fix show-gpus when running with incluster auth (#4452) * Add limits only if they exist * Fix incluster auth handling --- sky/clouds/service_catalog/kubernetes_catalog.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/sky/clouds/service_catalog/kubernetes_catalog.py b/sky/clouds/service_catalog/kubernetes_catalog.py index 2c7eafc20e5..655b3b54a66 100644 --- a/sky/clouds/service_catalog/kubernetes_catalog.py +++ b/sky/clouds/service_catalog/kubernetes_catalog.py @@ -123,6 +123,10 @@ def _list_accelerators( # clusters defined by allowed_contexts. if region_filter is None: context = kubernetes_utils.get_current_kube_config_context_name() + if context is None and kubernetes_utils.is_incluster_config_available(): + # If context is None and we are running in a kubernetes pod, use the + # in-cluster context as the current context. + context = kubernetes.in_cluster_context_name() else: context = region_filter if context is None: From 1ed40e3174646ba835423b9308d8d6489f83b6bc Mon Sep 17 00:00:00 2001 From: Yika Date: Wed, 11 Dec 2024 10:47:23 -0800 Subject: [PATCH 138/152] Not mutate azure dep list at runtime (#4457) --- sky/utils/controller_utils.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/sky/utils/controller_utils.py b/sky/utils/controller_utils.py index 3f0bd5c5ed7..0166a16ff16 100644 --- a/sky/utils/controller_utils.py +++ b/sky/utils/controller_utils.py @@ -211,8 +211,8 @@ def _get_cloud_dependencies_installation_commands( f'{constants.SKY_UV_INSTALL_CMD} >/dev/null 2>&1') for cloud in sky_check.get_cached_enabled_clouds_or_refresh(): - cloud_python_dependencies: List[str] = dependencies.extras_require[ - cloud.canonical_name()] + cloud_python_dependencies: List[str] = copy.deepcopy( + dependencies.extras_require[cloud.canonical_name()]) if isinstance(cloud, clouds.Azure): # azure-cli cannot be normally installed by uv. From 02fb8bd242b65fe0e7165c8ee900ae6fe0df2150 Mon Sep 17 00:00:00 2001 From: Seth Kimmel Date: Thu, 12 Dec 2024 17:18:43 -0800 Subject: [PATCH 139/152] add 1, 2, 4 size H100's to GCP (#4456) * add 1, 2, 4 size H100's to GCP * update --- sky/clouds/service_catalog/data_fetchers/fetch_gcp.py | 3 --- sky/clouds/service_catalog/gcp_catalog.py | 3 +++ 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/sky/clouds/service_catalog/data_fetchers/fetch_gcp.py b/sky/clouds/service_catalog/data_fetchers/fetch_gcp.py index e0ec7f66042..570bc773d2e 100644 --- a/sky/clouds/service_catalog/data_fetchers/fetch_gcp.py +++ b/sky/clouds/service_catalog/data_fetchers/fetch_gcp.py @@ -476,9 +476,6 @@ def _get_gpus_for_zone(zone: str) -> 'pd.DataFrame': gpu_name = gpu_name.upper() if 'H100-80GB' in gpu_name: gpu_name = 'H100' - if count != 8: - # H100 only has 8 cards. - continue if 'H100-MEGA-80GB' in gpu_name: gpu_name = 'H100-MEGA' if count != 8: diff --git a/sky/clouds/service_catalog/gcp_catalog.py b/sky/clouds/service_catalog/gcp_catalog.py index c9e15f602dc..8521f6786cc 100644 --- a/sky/clouds/service_catalog/gcp_catalog.py +++ b/sky/clouds/service_catalog/gcp_catalog.py @@ -97,6 +97,9 @@ 8: ['g2-standard-96'], }, 'H100': { + 1: ['a3-highgpu-1g'], + 2: ['a3-highgpu-2g'], + 4: ['a3-highgpu-4g'], 8: ['a3-highgpu-8g'], }, 'H100-MEGA': { From e4ea276e624bc18769642bfabb5081f117c1f664 Mon Sep 17 00:00:00 2001 From: zpoint Date: Fri, 13 Dec 2024 10:04:43 +0800 Subject: [PATCH 140/152] Support buildkite CICD and restructure smoke tests (#4396) * event based smoke test * more event based smoke test * more test cases * more test cases with managed jobs * bug fix * bump up seconds * merge master and resolve conflict * more test case * support test_managed_jobs_pipeline_failed_setup * support test_managed_jobs_recovery_aws * manged job status * bug fix * test managed job cancel * test_managed_jobs_storage * more test cases * resolve pr comment * private member function * bug fix * restructure * fix import * buildkite config * fix stdout problem * update pipeline test * test again * smoke test for buildkite * remove unsupport cloud for now * merge branch 'reliable_smoke_test_more' * bug fix * bug fix * bug fix * test pipeline pre merge * build test * test again * trigger test * bug fix * generate pipeline * robust generate pipeline * refactor pipeline * remove runpod * hot fix to pass smoke test * random order * allow parameter * bug fix * bug fix * exclude lambda cloud * dynamic generate pipeline * fix pre-commit * format * support SUPPRESS_SENSITIVE_LOG * support env SKYPILOT_SUPPRESS_SENSITIVE_LOG to suppress debug log * support env SKYPILOT_SUPPRESS_SENSITIVE_LOG to suppress debug log * add backward_compatibility_tests to pipeline * pip install uv for backward compatibility test * import style * generate all cloud * resolve PR comment * update comment * naming fix * grammar correction * resolve PR comment * fix import * fix import * support gcp on pre merge test * no gcp test case for pre merge --- .buildkite/generate_pipeline.py | 252 + .pre-commit-config.yaml | 5 +- sky/sky_logging.py | 18 + sky/utils/env_options.py | 1 + tests/backward_compatibility_tests.sh | 8 +- tests/smoke_tests/__init__.py | 2 + tests/smoke_tests/smoke_tests_utils.py | 439 ++ tests/smoke_tests/test_basic.py | 602 ++ tests/smoke_tests/test_cluster_job.py | 1649 +++++ tests/smoke_tests/test_images.py | 407 ++ tests/smoke_tests/test_managed_job.py | 812 +++ tests/smoke_tests/test_mount_and_storage.py | 1492 +++++ tests/smoke_tests/test_pre_merge.py | 43 + tests/smoke_tests/test_region_and_zone.py | 210 + tests/smoke_tests/test_sky_serve.py | 791 +++ tests/test_smoke.py | 6141 +----------------- tests/test_yamls/minimal_test_pre_merge.yaml | 13 + 17 files changed, 6746 insertions(+), 6139 deletions(-) create mode 100644 .buildkite/generate_pipeline.py create mode 100644 tests/smoke_tests/__init__.py create mode 100644 tests/smoke_tests/smoke_tests_utils.py create mode 100644 tests/smoke_tests/test_basic.py create mode 100644 tests/smoke_tests/test_cluster_job.py create mode 100644 tests/smoke_tests/test_images.py create mode 100644 tests/smoke_tests/test_managed_job.py create mode 100644 tests/smoke_tests/test_mount_and_storage.py create mode 100644 tests/smoke_tests/test_pre_merge.py create mode 100644 tests/smoke_tests/test_region_and_zone.py create mode 100644 tests/smoke_tests/test_sky_serve.py create mode 100644 tests/test_yamls/minimal_test_pre_merge.yaml diff --git a/.buildkite/generate_pipeline.py b/.buildkite/generate_pipeline.py new file mode 100644 index 00000000000..2b0f1cec788 --- /dev/null +++ b/.buildkite/generate_pipeline.py @@ -0,0 +1,252 @@ +""" +This script generates a Buildkite pipeline from test files. + +The script will generate two pipelines: + +tests/smoke_tests +├── test_*.py -> release pipeline +├── test_pre_merge.py -> pre-merge pipeline + +run `PYTHONPATH=$(pwd)/tests:$PYTHONPATH python .buildkite/generate_pipeline.py` +to generate the pipeline for testing. The CI will run this script as a pre-step, +and use the generated pipeline to run the tests. + +1. release pipeline, which runs all smoke tests by default, generates all + smoke tests for all clouds. +2. pre-merge pipeline, which generates all smoke tests for all clouds, + author should specify which clouds to run by setting env in the step. + +We only have credentials for aws/azure/gcp/kubernetes(CLOUD_QUEUE_MAP and +SERVE_CLOUD_QUEUE_MAP) now, smoke tests for those clouds are generated, other +clouds are not supported yet, smoke tests for those clouds are not generated. +""" + +import ast +import os +import random +from typing import Any, Dict, List, Optional + +from conftest import cloud_to_pytest_keyword +from conftest import default_clouds_to_run +import yaml + +DEFAULT_CLOUDS_TO_RUN = default_clouds_to_run +PYTEST_TO_CLOUD_KEYWORD = {v: k for k, v in cloud_to_pytest_keyword.items()} + +QUEUE_GENERIC_CLOUD = 'generic_cloud' +QUEUE_GENERIC_CLOUD_SERVE = 'generic_cloud_serve' +QUEUE_KUBERNETES = 'kubernetes' +QUEUE_KUBERNETES_SERVE = 'kubernetes_serve' +# Only aws, gcp, azure, and kubernetes are supported for now. +# Other clouds do not have credentials. +CLOUD_QUEUE_MAP = { + 'aws': QUEUE_GENERIC_CLOUD, + 'gcp': QUEUE_GENERIC_CLOUD, + 'azure': QUEUE_GENERIC_CLOUD, + 'kubernetes': QUEUE_KUBERNETES +} +# Serve tests runs long, and different test steps usually requires locks. +# Its highly likely to fail if multiple serve tests are running concurrently. +# So we use a different queue that runs only one concurrent test at a time. +SERVE_CLOUD_QUEUE_MAP = { + 'aws': QUEUE_GENERIC_CLOUD_SERVE, + 'gcp': QUEUE_GENERIC_CLOUD_SERVE, + 'azure': QUEUE_GENERIC_CLOUD_SERVE, + 'kubernetes': QUEUE_KUBERNETES_SERVE +} + +GENERATED_FILE_HEAD = ('# This is an auto-generated Buildkite pipeline by ' + '.buildkite/generate_pipeline.py, Please do not ' + 'edit directly.\n') + + +def _get_full_decorator_path(decorator: ast.AST) -> str: + """Recursively get the full path of a decorator.""" + if isinstance(decorator, ast.Attribute): + return f'{_get_full_decorator_path(decorator.value)}.{decorator.attr}' + elif isinstance(decorator, ast.Name): + return decorator.id + elif isinstance(decorator, ast.Call): + return _get_full_decorator_path(decorator.func) + raise ValueError(f'Unknown decorator type: {type(decorator)}') + + +def _extract_marked_tests(file_path: str) -> Dict[str, List[str]]: + """Extract test functions and filter clouds using pytest.mark + from a Python test file. + + We separate each test_function_{cloud} into different pipeline steps + to maximize the parallelism of the tests via the buildkite CI job queue. + This allows us to visualize the test results and rerun failures at the + granularity of each test_function_{cloud}. + + If we make pytest --serve a job, it could contain dozens of test_functions + and run for hours. This makes it hard to visualize the test results and + rerun failures. Additionally, the parallelism would be controlled by pytest + instead of the buildkite job queue. + """ + with open(file_path, 'r', encoding='utf-8') as file: + tree = ast.parse(file.read(), filename=file_path) + + for node in ast.walk(tree): + for child in ast.iter_child_nodes(node): + setattr(child, 'parent', node) + + function_cloud_map = {} + for node in ast.walk(tree): + if isinstance(node, ast.FunctionDef) and node.name.startswith('test_'): + class_name = None + if hasattr(node, 'parent') and isinstance(node.parent, + ast.ClassDef): + class_name = node.parent.name + + clouds_to_include = [] + clouds_to_exclude = [] + is_serve_test = False + for decorator in node.decorator_list: + if isinstance(decorator, ast.Call): + # We only need to consider the decorator with no arguments + # to extract clouds. + continue + full_path = _get_full_decorator_path(decorator) + if full_path.startswith('pytest.mark.'): + assert isinstance(decorator, ast.Attribute) + suffix = decorator.attr + if suffix.startswith('no_'): + clouds_to_exclude.append(suffix[3:]) + else: + if suffix == 'serve': + is_serve_test = True + continue + if suffix not in PYTEST_TO_CLOUD_KEYWORD: + # This mark does not specify a cloud, so we skip it. + continue + clouds_to_include.append( + PYTEST_TO_CLOUD_KEYWORD[suffix]) + clouds_to_include = (clouds_to_include if clouds_to_include else + DEFAULT_CLOUDS_TO_RUN) + clouds_to_include = [ + cloud for cloud in clouds_to_include + if cloud not in clouds_to_exclude + ] + cloud_queue_map = SERVE_CLOUD_QUEUE_MAP if is_serve_test else CLOUD_QUEUE_MAP + final_clouds_to_include = [ + cloud for cloud in clouds_to_include if cloud in cloud_queue_map + ] + if clouds_to_include and not final_clouds_to_include: + print(f'Warning: {file_path}:{node.name} ' + f'is marked to run on {clouds_to_include}, ' + f'but we do not have credentials for those clouds. ' + f'Skipped.') + continue + if clouds_to_include != final_clouds_to_include: + excluded_clouds = set(clouds_to_include) - set( + final_clouds_to_include) + print( + f'Warning: {file_path}:{node.name} ' + f'is marked to run on {clouds_to_include}, ' + f'but we only have credentials for {final_clouds_to_include}. ' + f'clouds {excluded_clouds} are skipped.') + function_name = (f'{class_name}::{node.name}' + if class_name else node.name) + function_cloud_map[function_name] = (final_clouds_to_include, [ + cloud_queue_map[cloud] for cloud in final_clouds_to_include + ]) + return function_cloud_map + + +def _generate_pipeline(test_file: str) -> Dict[str, Any]: + """Generate a Buildkite pipeline from test files.""" + steps = [] + function_cloud_map = _extract_marked_tests(test_file) + for test_function, clouds_and_queues in function_cloud_map.items(): + for cloud, queue in zip(*clouds_and_queues): + step = { + 'label': f'{test_function} on {cloud}', + 'command': f'pytest {test_file}::{test_function} --{cloud}', + 'agents': { + # Separate agent pool for each cloud. + # Since they require different amount of resources and + # concurrency control. + 'queue': queue + }, + 'if': f'build.env("{cloud}") == "1"' + } + steps.append(step) + return {'steps': steps} + + +def _dump_pipeline_to_file(yaml_file_path: str, + pipelines: List[Dict[str, Any]], + extra_env: Optional[Dict[str, str]] = None): + default_env = {'LOG_TO_STDOUT': '1', 'PYTHONPATH': '${PYTHONPATH}:$(pwd)'} + if extra_env: + default_env.update(extra_env) + with open(yaml_file_path, 'w', encoding='utf-8') as file: + file.write(GENERATED_FILE_HEAD) + all_steps = [] + for pipeline in pipelines: + all_steps.extend(pipeline['steps']) + # Shuffle the steps to avoid flakyness, consecutive runs of the same + # kind of test may fail for requiring locks on the same resources. + random.shuffle(all_steps) + final_pipeline = {'steps': all_steps, 'env': default_env} + yaml.dump(final_pipeline, file, default_flow_style=False) + + +def _convert_release(test_files: List[str]): + yaml_file_path = '.buildkite/pipeline_smoke_tests_release.yaml' + output_file_pipelines = [] + for test_file in test_files: + print(f'Converting {test_file} to {yaml_file_path}') + pipeline = _generate_pipeline(test_file) + output_file_pipelines.append(pipeline) + print(f'Converted {test_file} to {yaml_file_path}\n\n') + # Enable all clouds by default for release pipeline. + _dump_pipeline_to_file(yaml_file_path, + output_file_pipelines, + extra_env={cloud: '1' for cloud in CLOUD_QUEUE_MAP}) + + +def _convert_pre_merge(test_files: List[str]): + yaml_file_path = '.buildkite/pipeline_smoke_tests_pre_merge.yaml' + output_file_pipelines = [] + for test_file in test_files: + print(f'Converting {test_file} to {yaml_file_path}') + # We want enable all clouds by default for each test function + # for pre-merge. And let the author controls which clouds + # to run by parameter. + pipeline = _generate_pipeline(test_file) + pipeline['steps'].append({ + 'label': 'Backward compatibility test', + 'command': 'bash tests/backward_compatibility_tests.sh', + 'agents': { + 'queue': 'back_compat' + } + }) + output_file_pipelines.append(pipeline) + print(f'Converted {test_file} to {yaml_file_path}\n\n') + _dump_pipeline_to_file(yaml_file_path, + output_file_pipelines, + extra_env={'SKYPILOT_SUPPRESS_SENSITIVE_LOG': '1'}) + + +def main(): + test_files = os.listdir('tests/smoke_tests') + release_files = [] + pre_merge_files = [] + for test_file in test_files: + if not test_file.startswith('test_'): + continue + test_file_path = os.path.join('tests/smoke_tests', test_file) + if "test_pre_merge" in test_file: + pre_merge_files.append(test_file_path) + else: + release_files.append(test_file_path) + + _convert_release(release_files) + _convert_pre_merge(pre_merge_files) + + +if __name__ == '__main__': + main() diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index db40b03b5fa..81f794dac24 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -24,7 +24,6 @@ repos: args: - "--sg=build/**" # Matches "${ISORT_YAPF_EXCLUDES[@]}" - "--sg=sky/skylet/providers/ibm/**" - files: "^(sky|tests|examples|llm|docs)/.*" # Only match these directories # Second isort command - id: isort name: isort (IBM specific) @@ -56,8 +55,8 @@ repos: hooks: - id: yapf name: yapf - exclude: (build/.*|sky/skylet/providers/ibm/.*) # Matches exclusions from the script - args: ['--recursive', '--parallel'] # Only necessary flags + exclude: (sky/skylet/providers/ibm/.*) # Matches exclusions from the script + args: ['--recursive', '--parallel', '--in-place'] # Only necessary flags additional_dependencies: [toml==0.10.2] - repo: https://github.com/pylint-dev/pylint diff --git a/sky/sky_logging.py b/sky/sky_logging.py index 75dc836a49e..effeab310d8 100644 --- a/sky/sky_logging.py +++ b/sky/sky_logging.py @@ -15,6 +15,7 @@ not env_options.Options.MINIMIZE_LOGGING.get()) _FORMAT = '%(levelname).1s %(asctime)s %(filename)s:%(lineno)d] %(message)s' _DATE_FORMAT = '%m-%d %H:%M:%S' +_SENSITIVE_LOGGER = ['sky.provisioner', 'sky.optimizer'] class NewLineFormatter(logging.Formatter): @@ -75,6 +76,23 @@ def _setup_logger(): # Setting this will avoid the message # being propagated to the parent logger. _root_logger.propagate = False + if env_options.Options.SUPPRESS_SENSITIVE_LOG.get(): + # If the sensitive log is enabled, we reinitialize a new handler + # and force set the level to INFO to suppress the debug logs + # for certain loggers. + for logger_name in _SENSITIVE_LOGGER: + logger = logging.getLogger(logger_name) + handler_to_logger = RichSafeStreamHandler(sys.stdout) + handler_to_logger.flush = sys.stdout.flush # type: ignore + logger.addHandler(handler_to_logger) + logger.setLevel(logging.INFO) + if _show_logging_prefix: + handler_to_logger.setFormatter(FORMATTER) + else: + handler_to_logger.setFormatter(NO_PREFIX_FORMATTER) + # Do not propagate to the parent logger to avoid parent + # logger printing the logs. + logger.propagate = False def reload_logger(): diff --git a/sky/utils/env_options.py b/sky/utils/env_options.py index ebec8eeb90d..cfc20a76253 100644 --- a/sky/utils/env_options.py +++ b/sky/utils/env_options.py @@ -11,6 +11,7 @@ class Options(enum.Enum): SHOW_DEBUG_INFO = ('SKYPILOT_DEBUG', False) DISABLE_LOGGING = ('SKYPILOT_DISABLE_USAGE_COLLECTION', False) MINIMIZE_LOGGING = ('SKYPILOT_MINIMIZE_LOGGING', True) + SUPPRESS_SENSITIVE_LOG = ('SKYPILOT_SUPPRESS_SENSITIVE_LOG', False) # Internal: this is used to skip the cloud user identity check, which is # used to protect cluster operations in a multi-identity scenario. # Currently, this is only used in the job and serve controller, as there diff --git a/tests/backward_compatibility_tests.sh b/tests/backward_compatibility_tests.sh index 696b87ff6ad..d32e1e9e224 100644 --- a/tests/backward_compatibility_tests.sh +++ b/tests/backward_compatibility_tests.sh @@ -35,7 +35,9 @@ rm -r ~/.sky/wheels || true cd ../sky-master git pull origin master pip uninstall -y skypilot -pip install -e ".[all]" +pip install uv +uv pip install --prerelease=allow "azure-cli>=2.65.0" +uv pip install -e ".[all]" cd - conda env list | grep sky-back-compat-current || conda create -n sky-back-compat-current -y python=3.9 @@ -43,7 +45,9 @@ conda activate sky-back-compat-current conda install -c conda-forge google-cloud-sdk -y rm -r ~/.sky/wheels || true pip uninstall -y skypilot -pip install -e ".[all]" +pip install uv +uv pip install --prerelease=allow "azure-cli>=2.65.0" +uv pip install -e ".[all]" # exec + launch diff --git a/tests/smoke_tests/__init__.py b/tests/smoke_tests/__init__.py new file mode 100644 index 00000000000..63d4cd2b811 --- /dev/null +++ b/tests/smoke_tests/__init__.py @@ -0,0 +1,2 @@ +"""For smoke tests import.""" +__all__ = ['smoke_tests_utils'] diff --git a/tests/smoke_tests/smoke_tests_utils.py b/tests/smoke_tests/smoke_tests_utils.py new file mode 100644 index 00000000000..14f2b94a5d4 --- /dev/null +++ b/tests/smoke_tests/smoke_tests_utils.py @@ -0,0 +1,439 @@ +import enum +import inspect +import os +import subprocess +import sys +import tempfile +from typing import Dict, List, NamedTuple, Optional, Tuple +import uuid + +import colorama +import pytest + +import sky +from sky import serve +from sky.clouds import AWS +from sky.clouds import GCP +from sky.utils import common_utils +from sky.utils import subprocess_utils + +# To avoid the second smoke test reusing the cluster launched in the first +# smoke test. Also required for test_managed_jobs_recovery to make sure the +# manual termination with aws ec2 does not accidentally terminate other clusters +# for for the different managed jobs launch with the same job name but a +# different job id. +test_id = str(uuid.uuid4())[-2:] + +LAMBDA_TYPE = '--cloud lambda --gpus A10' +FLUIDSTACK_TYPE = '--cloud fluidstack --gpus RTXA4000' + +SCP_TYPE = '--cloud scp' +SCP_GPU_V100 = '--gpus V100-32GB' + +STORAGE_SETUP_COMMANDS = [ + 'touch ~/tmpfile', 'mkdir -p ~/tmp-workdir', + 'touch ~/tmp-workdir/tmp\ file', 'touch ~/tmp-workdir/tmp\ file2', + 'touch ~/tmp-workdir/foo', + '[ ! -e ~/tmp-workdir/circle-link ] && ln -s ~/tmp-workdir/ ~/tmp-workdir/circle-link || true', + 'touch ~/.ssh/id_rsa.pub' +] + +# Get the job queue, and print it once on its own, then print it again to +# use with grep by the caller. +GET_JOB_QUEUE = 's=$(sky jobs queue); echo "$s"; echo "$s"' +# Wait for a job to be not in RUNNING state. Used to check for RECOVERING. +JOB_WAIT_NOT_RUNNING = ( + 's=$(sky jobs queue);' + 'until ! echo "$s" | grep "{job_name}" | grep "RUNNING"; do ' + 'sleep 10; s=$(sky jobs queue);' + 'echo "Waiting for job to stop RUNNING"; echo "$s"; done') + +# Cluster functions +_ALL_JOB_STATUSES = "|".join([status.value for status in sky.JobStatus]) +_ALL_CLUSTER_STATUSES = "|".join([status.value for status in sky.ClusterStatus]) +_ALL_MANAGED_JOB_STATUSES = "|".join( + [status.value for status in sky.ManagedJobStatus]) + + +def _statuses_to_str(statuses: List[enum.Enum]): + """Convert a list of enums to a string with all the values separated by |.""" + assert len(statuses) > 0, 'statuses must not be empty' + if len(statuses) > 1: + return '(' + '|'.join([status.value for status in statuses]) + ')' + else: + return statuses[0].value + + +_WAIT_UNTIL_CLUSTER_STATUS_CONTAINS = ( + # A while loop to wait until the cluster status + # becomes certain status, with timeout. + 'start_time=$SECONDS; ' + 'while true; do ' + 'if (( $SECONDS - $start_time > {timeout} )); then ' + ' echo "Timeout after {timeout} seconds waiting for cluster status \'{cluster_status}\'"; exit 1; ' + 'fi; ' + 'current_status=$(sky status {cluster_name} --refresh | ' + 'awk "/^{cluster_name}/ ' + '{{for (i=1; i<=NF; i++) if (\$i ~ /^(' + _ALL_CLUSTER_STATUSES + + ')$/) print \$i}}"); ' + 'if [[ "$current_status" =~ {cluster_status} ]]; ' + 'then echo "Target cluster status {cluster_status} reached."; break; fi; ' + 'echo "Waiting for cluster status to become {cluster_status}, current status: $current_status"; ' + 'sleep 10; ' + 'done') + + +def get_cmd_wait_until_cluster_status_contains( + cluster_name: str, cluster_status: List[sky.ClusterStatus], + timeout: int): + return _WAIT_UNTIL_CLUSTER_STATUS_CONTAINS.format( + cluster_name=cluster_name, + cluster_status=_statuses_to_str(cluster_status), + timeout=timeout) + + +def get_cmd_wait_until_cluster_status_contains_wildcard( + cluster_name_wildcard: str, cluster_status: List[sky.ClusterStatus], + timeout: int): + wait_cmd = _WAIT_UNTIL_CLUSTER_STATUS_CONTAINS.replace( + 'sky status {cluster_name}', + 'sky status "{cluster_name}"').replace('awk "/^{cluster_name}/', + 'awk "/^{cluster_name_awk}/') + return wait_cmd.format(cluster_name=cluster_name_wildcard, + cluster_name_awk=cluster_name_wildcard.replace( + '*', '.*'), + cluster_status=_statuses_to_str(cluster_status), + timeout=timeout) + + +_WAIT_UNTIL_CLUSTER_IS_NOT_FOUND = ( + # A while loop to wait until the cluster is not found or timeout + 'start_time=$SECONDS; ' + 'while true; do ' + 'if (( $SECONDS - $start_time > {timeout} )); then ' + ' echo "Timeout after {timeout} seconds waiting for cluster to be removed"; exit 1; ' + 'fi; ' + 'if sky status -r {cluster_name}; sky status {cluster_name} | grep "{cluster_name} not found"; then ' + ' echo "Cluster {cluster_name} successfully removed."; break; ' + 'fi; ' + 'echo "Waiting for cluster {cluster_name} to be removed..."; ' + 'sleep 10; ' + 'done') + + +def get_cmd_wait_until_cluster_is_not_found(cluster_name: str, timeout: int): + return _WAIT_UNTIL_CLUSTER_IS_NOT_FOUND.format(cluster_name=cluster_name, + timeout=timeout) + + +_WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_ID = ( + # A while loop to wait until the job status + # contains certain status, with timeout. + 'start_time=$SECONDS; ' + 'while true; do ' + 'if (( $SECONDS - $start_time > {timeout} )); then ' + ' echo "Timeout after {timeout} seconds waiting for job status \'{job_status}\'"; exit 1; ' + 'fi; ' + 'current_status=$(sky queue {cluster_name} | ' + 'awk "\\$1 == \\"{job_id}\\" ' + '{{for (i=1; i<=NF; i++) if (\$i ~ /^(' + _ALL_JOB_STATUSES + + ')$/) print \$i}}"); ' + 'found=0; ' # Initialize found variable outside the loop + 'while read -r line; do ' # Read line by line + ' if [[ "$line" =~ {job_status} ]]; then ' # Check each line + ' echo "Target job status {job_status} reached."; ' + ' found=1; ' + ' break; ' # Break inner loop + ' fi; ' + 'done <<< "$current_status"; ' + 'if [ "$found" -eq 1 ]; then break; fi; ' # Break outer loop if match found + 'echo "Waiting for job status to contain {job_status}, current status: $current_status"; ' + 'sleep 10; ' + 'done') + +_WAIT_UNTIL_JOB_STATUS_CONTAINS_WITHOUT_MATCHING_JOB = _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_ID.replace( + 'awk "\\$1 == \\"{job_id}\\"', 'awk "') + +_WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME = _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_ID.replace( + 'awk "\\$1 == \\"{job_id}\\"', 'awk "\\$2 == \\"{job_name}\\"') + + +def get_cmd_wait_until_job_status_contains_matching_job_id( + cluster_name: str, job_id: str, job_status: List[sky.JobStatus], + timeout: int): + return _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_ID.format( + cluster_name=cluster_name, + job_id=job_id, + job_status=_statuses_to_str(job_status), + timeout=timeout) + + +def get_cmd_wait_until_job_status_contains_without_matching_job( + cluster_name: str, job_status: List[sky.JobStatus], timeout: int): + return _WAIT_UNTIL_JOB_STATUS_CONTAINS_WITHOUT_MATCHING_JOB.format( + cluster_name=cluster_name, + job_status=_statuses_to_str(job_status), + timeout=timeout) + + +def get_cmd_wait_until_job_status_contains_matching_job_name( + cluster_name: str, job_name: str, job_status: List[sky.JobStatus], + timeout: int): + return _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.format( + cluster_name=cluster_name, + job_name=job_name, + job_status=_statuses_to_str(job_status), + timeout=timeout) + + +# Managed job functions + +_WAIT_UNTIL_MANAGED_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME = _WAIT_UNTIL_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.replace( + 'sky queue {cluster_name}', 'sky jobs queue').replace( + 'awk "\\$2 == \\"{job_name}\\"', + 'awk "\\$2 == \\"{job_name}\\" || \\$3 == \\"{job_name}\\"').replace( + _ALL_JOB_STATUSES, _ALL_MANAGED_JOB_STATUSES) + + +def get_cmd_wait_until_managed_job_status_contains_matching_job_name( + job_name: str, job_status: List[sky.JobStatus], timeout: int): + return _WAIT_UNTIL_MANAGED_JOB_STATUS_CONTAINS_MATCHING_JOB_NAME.format( + job_name=job_name, + job_status=_statuses_to_str(job_status), + timeout=timeout) + + +# After the timeout, the cluster will stop if autostop is set, and our check +# should be more than the timeout. To address this, we extend the timeout by +# _BUMP_UP_SECONDS before exiting. +BUMP_UP_SECONDS = 35 + +DEFAULT_CMD_TIMEOUT = 15 * 60 + + +class Test(NamedTuple): + name: str + # Each command is executed serially. If any failed, the remaining commands + # are not run and the test is treated as failed. + commands: List[str] + teardown: Optional[str] = None + # Timeout for each command in seconds. + timeout: int = DEFAULT_CMD_TIMEOUT + # Environment variables to set for each command. + env: Dict[str, str] = None + + def echo(self, message: str): + # pytest's xdist plugin captures stdout; print to stderr so that the + # logs are streaming while the tests are running. + prefix = f'[{self.name}]' + message = f'{prefix} {message}' + message = message.replace('\n', f'\n{prefix} ') + print(message, file=sys.stderr, flush=True) + + +def get_timeout(generic_cloud: str, + override_timeout: int = DEFAULT_CMD_TIMEOUT): + timeouts = {'fluidstack': 60 * 60} # file_mounts + return timeouts.get(generic_cloud, override_timeout) + + +def get_cluster_name() -> str: + """Returns a user-unique cluster name for each test_(). + + Must be called from each test_(). + """ + caller_func_name = inspect.stack()[1][3] + test_name = caller_func_name.replace('_', '-').replace('test-', 't-') + test_name = common_utils.make_cluster_name_on_cloud(test_name, + 24, + add_user_hash=False) + return f'{test_name}-{test_id}' + + +def terminate_gcp_replica(name: str, zone: str, replica_id: int) -> str: + cluster_name = serve.generate_replica_cluster_name(name, replica_id) + query_cmd = (f'gcloud compute instances list --filter=' + f'"(labels.ray-cluster-name:{cluster_name})" ' + f'--zones={zone} --format="value(name)"') + return (f'gcloud compute instances delete --zone={zone}' + f' --quiet $({query_cmd})') + + +def run_one_test(test: Test) -> Tuple[int, str, str]: + # Fail fast if `sky` CLI somehow errors out. + subprocess.run(['sky', 'status'], stdout=subprocess.DEVNULL, check=True) + log_to_stdout = os.environ.get('LOG_TO_STDOUT', None) + if log_to_stdout: + write = test.echo + flush = lambda: None + subprocess_out = sys.stderr + test.echo(f'Test started. Log to stdout') + else: + log_file = tempfile.NamedTemporaryFile('a', + prefix=f'{test.name}-', + suffix='.log', + delete=False) + write = log_file.write + flush = log_file.flush + subprocess_out = log_file + test.echo(f'Test started. Log: less {log_file.name}') + + env_dict = os.environ.copy() + if test.env: + env_dict.update(test.env) + for command in test.commands: + write(f'+ {command}\n') + flush() + proc = subprocess.Popen( + command, + stdout=subprocess_out, + stderr=subprocess.STDOUT, + shell=True, + executable='/bin/bash', + env=env_dict, + ) + try: + proc.wait(timeout=test.timeout) + except subprocess.TimeoutExpired as e: + flush() + test.echo(f'Timeout after {test.timeout} seconds.') + test.echo(str(e)) + write(f'Timeout after {test.timeout} seconds.\n') + flush() + # Kill the current process. + proc.terminate() + proc.returncode = 1 # None if we don't set it. + break + + if proc.returncode: + break + + style = colorama.Style + fore = colorama.Fore + outcome = (f'{fore.RED}Failed{style.RESET_ALL}' + if proc.returncode else f'{fore.GREEN}Passed{style.RESET_ALL}') + reason = f'\nReason: {command}' if proc.returncode else '' + msg = (f'{outcome}.' + f'{reason}') + if log_to_stdout: + test.echo(msg) + else: + msg += f'\nLog: less {log_file.name}\n' + test.echo(msg) + write(msg) + + if (proc.returncode == 0 or + pytest.terminate_on_failure) and test.teardown is not None: + subprocess_utils.run( + test.teardown, + stdout=subprocess_out, + stderr=subprocess.STDOUT, + timeout=10 * 60, # 10 mins + shell=True, + ) + + if proc.returncode: + if log_to_stdout: + raise Exception(f'test failed') + else: + raise Exception(f'test failed: less {log_file.name}') + + +def get_aws_region_for_quota_failover() -> Optional[str]: + candidate_regions = AWS.regions_with_offering(instance_type='p3.16xlarge', + accelerators=None, + use_spot=True, + region=None, + zone=None) + original_resources = sky.Resources(cloud=sky.AWS(), + instance_type='p3.16xlarge', + use_spot=True) + + # Filter the regions with proxy command in ~/.sky/config.yaml. + filtered_regions = original_resources.get_valid_regions_for_launchable() + candidate_regions = [ + region for region in candidate_regions + if region.name in filtered_regions + ] + + for region in candidate_regions: + resources = original_resources.copy(region=region.name) + if not AWS.check_quota_available(resources): + return region.name + + return None + + +def get_gcp_region_for_quota_failover() -> Optional[str]: + + candidate_regions = GCP.regions_with_offering(instance_type=None, + accelerators={'A100-80GB': 1}, + use_spot=True, + region=None, + zone=None) + + original_resources = sky.Resources(cloud=sky.GCP(), + instance_type='a2-ultragpu-1g', + accelerators={'A100-80GB': 1}, + use_spot=True) + + # Filter the regions with proxy command in ~/.sky/config.yaml. + filtered_regions = original_resources.get_valid_regions_for_launchable() + candidate_regions = [ + region for region in candidate_regions + if region.name in filtered_regions + ] + + for region in candidate_regions: + if not GCP.check_quota_available( + original_resources.copy(region=region.name)): + return region.name + + return None + + +VALIDATE_LAUNCH_OUTPUT = ( + # Validate the output of the job submission: + # ⚙️ Launching on Kubernetes. + # Pod is up. + # ✓ Cluster launched: test. View logs at: ~/sky_logs/sky-2024-10-07-19-44-18-177288/provision.log + # ⚙️ Running setup on 1 pod. + # running setup + # ✓ Setup completed. + # ⚙️ Job submitted, ID: 1. + # ├── Waiting for task resources on 1 node. + # └── Job started. Streaming logs... (Ctrl-C to exit log streaming; job will not be killed) + # (min, pid=1277) # conda environments: + # (min, pid=1277) # + # (min, pid=1277) base * /opt/conda + # (min, pid=1277) + # (min, pid=1277) task run finish + # ✓ Job finished (status: SUCCEEDED). + # + # Job ID: 1 + # 📋 Useful Commands + # ├── To cancel the job: sky cancel test 1 + # ├── To stream job logs: sky logs test 1 + # └── To view job queue: sky queue test + # + # Cluster name: test + # ├── To log into the head VM: ssh test + # ├── To submit a job: sky exec test yaml_file + # ├── To stop the cluster: sky stop test + # └── To teardown the cluster: sky down test + 'echo "$s" && echo "==Validating launching==" && ' + 'echo "$s" | grep -A 1 "Launching on" | grep "is up." && ' + 'echo "$s" && echo "==Validating setup output==" && ' + 'echo "$s" | grep -A 1 "Running setup on" | grep "running setup" && ' + 'echo "==Validating running output hints==" && echo "$s" | ' + 'grep -A 1 "Job submitted, ID:" | ' + 'grep "Waiting for task resources on " && ' + 'echo "==Validating task output starting==" && echo "$s" | ' + 'grep -A 1 "Job started. Streaming logs..." | grep "(min, pid=" && ' + 'echo "==Validating task output ending==" && ' + 'echo "$s" | grep -A 1 "task run finish" | ' + 'grep "Job finished (status: SUCCEEDED)" && ' + 'echo "==Validating task output ending 2==" && ' + 'echo "$s" | grep -A 5 "Job finished (status: SUCCEEDED)" | ' + 'grep "Job ID:" && ' + 'echo "$s" | grep -A 1 "Job ID:" | grep "Useful Commands"') diff --git a/tests/smoke_tests/test_basic.py b/tests/smoke_tests/test_basic.py new file mode 100644 index 00000000000..e8dffe53846 --- /dev/null +++ b/tests/smoke_tests/test_basic.py @@ -0,0 +1,602 @@ +# Smoke tests for SkyPilot for basic functionality +# Default options are set in pyproject.toml +# Example usage: +# Run all tests except for AWS and Lambda Cloud +# > pytest tests/smoke_tests/test_basic.py +# +# Terminate failed clusters after test finishes +# > pytest tests/smoke_tests/test_basic.py --terminate-on-failure +# +# Re-run last failed tests +# > pytest --lf +# +# Run one of the smoke tests +# > pytest tests/smoke_tests/test_basic.py::test_minimal +# +# Only run test for AWS + generic tests +# > pytest tests/smoke_tests/test_basic.py --aws +# +# Change cloud for generic tests to aws +# > pytest tests/smoke_tests/test_basic.py --generic-cloud aws + +import pathlib +import subprocess +import tempfile +import textwrap +import time + +import pytest +from smoke_tests import smoke_tests_utils + +import sky +from sky.skylet import events +from sky.utils import common_utils + + +# ---------- Dry run: 2 Tasks in a chain. ---------- +@pytest.mark.no_fluidstack #requires GCP and AWS set up +def test_example_app(): + test = smoke_tests_utils.Test( + 'example_app', + ['python examples/example_app.py'], + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- A minimal task ---------- +def test_minimal(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'minimal', + [ + f'unset SKYPILOT_DEBUG; s=$(sky launch -y -c {name} --cloud {generic_cloud} tests/test_yamls/minimal.yaml) && {smoke_tests_utils.VALIDATE_LAUNCH_OUTPUT}', + # Output validation done. + f'sky logs {name} 1 --status', + f'sky logs {name} --status | grep "Job 1: SUCCEEDED"', # Equivalent. + # Test launch output again on existing cluster + f'unset SKYPILOT_DEBUG; s=$(sky launch -y -c {name} --cloud {generic_cloud} tests/test_yamls/minimal.yaml) && {smoke_tests_utils.VALIDATE_LAUNCH_OUTPUT}', + f'sky logs {name} 2 --status', + f'sky logs {name} --status | grep "Job 2: SUCCEEDED"', # Equivalent. + # Check the logs downloading + f'log_path=$(sky logs {name} 1 --sync-down | grep "Job 1 logs:" | sed -E "s/^.*Job 1 logs: (.*)\\x1b\\[0m/\\1/g") && echo "$log_path" && test -f $log_path/run.log', + # Ensure the raylet process has the correct file descriptor limit. + f'sky exec {name} "prlimit -n --pid=\$(pgrep -f \'raylet/raylet --raylet_socket_name\') | grep \'"\'1048576 1048576\'"\'"', + f'sky logs {name} 3 --status', # Ensure the job succeeded. + # Install jq for the next test. + f'sky exec {name} \'sudo apt-get update && sudo apt-get install -y jq\'', + # Check the cluster info + f'sky exec {name} \'echo "$SKYPILOT_CLUSTER_INFO" | jq .cluster_name | grep {name}\'', + f'sky logs {name} 5 --status', # Ensure the job succeeded. + f'sky exec {name} \'echo "$SKYPILOT_CLUSTER_INFO" | jq .cloud | grep -i {generic_cloud}\'', + f'sky logs {name} 6 --status', # Ensure the job succeeded. + # Test '-c' for exec + f'sky exec -c {name} echo', + f'sky logs {name} 7 --status', + f'sky exec echo -c {name}', + f'sky logs {name} 8 --status', + f'sky exec -c {name} echo hi test', + f'sky logs {name} 9 | grep "hi test"', + f'sky exec {name} && exit 1 || true', + f'sky exec -c {name} && exit 1 || true', + ], + f'sky down -y {name}', + smoke_tests_utils.get_timeout(generic_cloud), + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Test fast launch ---------- +def test_launch_fast(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + + test = smoke_tests_utils.Test( + 'test_launch_fast', + [ + # First launch to create the cluster + f'unset SKYPILOT_DEBUG; s=$(sky launch -y -c {name} --cloud {generic_cloud} --fast tests/test_yamls/minimal.yaml) && {smoke_tests_utils.VALIDATE_LAUNCH_OUTPUT}', + f'sky logs {name} 1 --status', + + # Second launch to test fast launch - should not reprovision + f'unset SKYPILOT_DEBUG; s=$(sky launch -y -c {name} --fast tests/test_yamls/minimal.yaml) && ' + ' echo "$s" && ' + # Validate that cluster was not re-launched. + '! echo "$s" | grep -A 1 "Launching on" | grep "is up." && ' + # Validate that setup was not re-run. + '! echo "$s" | grep -A 1 "Running setup on" | grep "running setup" && ' + # Validate that the task ran and finished. + 'echo "$s" | grep -A 1 "task run finish" | grep "Job finished (status: SUCCEEDED)"', + f'sky logs {name} 2 --status', + f'sky status -r {name} | grep UP', + ], + f'sky down -y {name}', + timeout=smoke_tests_utils.get_timeout(generic_cloud), + ) + smoke_tests_utils.run_one_test(test) + + +# See cloud exclusion explanations in test_autostop +@pytest.mark.no_fluidstack +@pytest.mark.no_lambda_cloud +@pytest.mark.no_ibm +@pytest.mark.no_kubernetes +def test_launch_fast_with_autostop(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + # Azure takes ~ 7m15s (435s) to autostop a VM, so here we use 600 to ensure + # the VM is stopped. + autostop_timeout = 600 if generic_cloud == 'azure' else 250 + test = smoke_tests_utils.Test( + 'test_launch_fast_with_autostop', + [ + # First launch to create the cluster with a short autostop + f'unset SKYPILOT_DEBUG; s=$(sky launch -y -c {name} --cloud {generic_cloud} --fast -i 1 tests/test_yamls/minimal.yaml) && {smoke_tests_utils.VALIDATE_LAUNCH_OUTPUT}', + f'sky logs {name} 1 --status', + f'sky status -r {name} | grep UP', + + # Ensure cluster is stopped + smoke_tests_utils.get_cmd_wait_until_cluster_status_contains( + cluster_name=name, + cluster_status=[sky.ClusterStatus.STOPPED], + timeout=autostop_timeout), + # Even the cluster is stopped, cloud platform may take a while to + # delete the VM. + f'sleep {smoke_tests_utils.BUMP_UP_SECONDS}', + # Launch again. Do full output validation - we expect the cluster to re-launch + f'unset SKYPILOT_DEBUG; s=$(sky launch -y -c {name} --fast -i 1 tests/test_yamls/minimal.yaml) && {smoke_tests_utils.VALIDATE_LAUNCH_OUTPUT}', + f'sky logs {name} 2 --status', + f'sky status -r {name} | grep UP', + ], + f'sky down -y {name}', + timeout=smoke_tests_utils.get_timeout(generic_cloud) + autostop_timeout, + ) + smoke_tests_utils.run_one_test(test) + + +# ------------ Test stale job ------------ +@pytest.mark.no_fluidstack # FluidStack does not support stopping instances in SkyPilot implementation +@pytest.mark.no_lambda_cloud # Lambda Cloud does not support stopping instances +@pytest.mark.no_kubernetes # Kubernetes does not support stopping instances +def test_stale_job(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'stale_job', + [ + f'sky launch -y -c {name} --cloud {generic_cloud} "echo hi"', + f'sky exec {name} -d "echo start; sleep 10000"', + f'sky stop {name} -y', + smoke_tests_utils.get_cmd_wait_until_cluster_status_contains( + cluster_name=name, + cluster_status=[sky.ClusterStatus.STOPPED], + timeout=100), + f'sky start {name} -y', + f'sky logs {name} 1 --status', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep FAILED_DRIVER', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.aws +def test_aws_stale_job_manual_restart(): + name = smoke_tests_utils.get_cluster_name() + name_on_cloud = common_utils.make_cluster_name_on_cloud( + name, sky.AWS.max_cluster_name_length()) + region = 'us-east-2' + test = smoke_tests_utils.Test( + 'aws_stale_job_manual_restart', + [ + f'sky launch -y -c {name} --cloud aws --region {region} "echo hi"', + f'sky exec {name} -d "echo start; sleep 10000"', + # Stop the cluster manually. + f'id=`aws ec2 describe-instances --region {region} --filters ' + f'Name=tag:ray-cluster-name,Values={name_on_cloud} ' + f'--query Reservations[].Instances[].InstanceId ' + '--output text`; ' + f'aws ec2 stop-instances --region {region} ' + '--instance-ids $id', + smoke_tests_utils.get_cmd_wait_until_cluster_status_contains( + cluster_name=name, + cluster_status=[sky.ClusterStatus.STOPPED], + timeout=40), + f'sky launch -c {name} -y "echo hi"', + f'sky logs {name} 1 --status', + f'sky logs {name} 3 --status', + # Ensure the skylet updated the stale job status. + smoke_tests_utils. + get_cmd_wait_until_job_status_contains_without_matching_job( + cluster_name=name, + job_status=[sky.JobStatus.FAILED_DRIVER], + timeout=events.JobSchedulerEvent.EVENT_INTERVAL_SECONDS), + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.gcp +def test_gcp_stale_job_manual_restart(): + name = smoke_tests_utils.get_cluster_name() + name_on_cloud = common_utils.make_cluster_name_on_cloud( + name, sky.GCP.max_cluster_name_length()) + zone = 'us-west2-a' + query_cmd = (f'gcloud compute instances list --filter=' + f'"(labels.ray-cluster-name={name_on_cloud})" ' + f'--zones={zone} --format="value(name)"') + stop_cmd = (f'gcloud compute instances stop --zone={zone}' + f' --quiet $({query_cmd})') + test = smoke_tests_utils.Test( + 'gcp_stale_job_manual_restart', + [ + f'sky launch -y -c {name} --cloud gcp --zone {zone} "echo hi"', + f'sky exec {name} -d "echo start; sleep 10000"', + # Stop the cluster manually. + stop_cmd, + 'sleep 40', + f'sky launch -c {name} -y "echo hi"', + f'sky logs {name} 1 --status', + f'sky logs {name} 3 --status', + # Ensure the skylet updated the stale job status. + smoke_tests_utils. + get_cmd_wait_until_job_status_contains_without_matching_job( + cluster_name=name, + job_status=[sky.JobStatus.FAILED_DRIVER], + timeout=events.JobSchedulerEvent.EVENT_INTERVAL_SECONDS) + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Check Sky's environment variables; workdir. ---------- +@pytest.mark.no_fluidstack # Requires amazon S3 +@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet +def test_env_check(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + total_timeout_minutes = 25 if generic_cloud == 'azure' else 15 + test = smoke_tests_utils.Test( + 'env_check', + [ + f'sky launch -y -c {name} --cloud {generic_cloud} --detach-setup examples/env_check.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + ], + f'sky down -y {name}', + timeout=total_timeout_minutes * 60, + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- CLI logs ---------- +@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet. Run test_scp_logs instead. +def test_cli_logs(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + num_nodes = 2 + if generic_cloud == 'kubernetes': + # Kubernetes does not support multi-node + num_nodes = 1 + timestamp = time.time() + test = smoke_tests_utils.Test('cli_logs', [ + f'sky launch -y -c {name} --cloud {generic_cloud} --num-nodes {num_nodes} "echo {timestamp} 1"', + f'sky exec {name} "echo {timestamp} 2"', + f'sky exec {name} "echo {timestamp} 3"', + f'sky exec {name} "echo {timestamp} 4"', + f'sky logs {name} 2 --status', + f'sky logs {name} 3 4 --sync-down', + f'sky logs {name} * --sync-down', + f'sky logs {name} 1 | grep "{timestamp} 1"', + f'sky logs {name} | grep "{timestamp} 4"', + ], f'sky down -y {name}') + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.scp +def test_scp_logs(): + name = smoke_tests_utils.get_cluster_name() + timestamp = time.time() + test = smoke_tests_utils.Test( + 'SCP_cli_logs', + [ + f'sky launch -y -c {name} {smoke_tests_utils.SCP_TYPE} "echo {timestamp} 1"', + f'sky exec {name} "echo {timestamp} 2"', + f'sky exec {name} "echo {timestamp} 3"', + f'sky exec {name} "echo {timestamp} 4"', + f'sky logs {name} 2 --status', + f'sky logs {name} 3 4 --sync-down', + f'sky logs {name} * --sync-down', + f'sky logs {name} 1 | grep "{timestamp} 1"', + f'sky logs {name} | grep "{timestamp} 4"', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ------- Testing the core API -------- +# Most of the core APIs have been tested in the CLI tests. +# These tests are for testing the return value of the APIs not fully used in CLI. + + +@pytest.mark.gcp +def test_core_api_sky_launch_exec(): + name = smoke_tests_utils.get_cluster_name() + task = sky.Task(run="whoami") + task.set_resources(sky.Resources(cloud=sky.GCP())) + job_id, handle = sky.launch(task, cluster_name=name) + assert job_id == 1 + assert handle is not None + assert handle.cluster_name == name + assert handle.launched_resources.cloud.is_same_cloud(sky.GCP()) + job_id_exec, handle_exec = sky.exec(task, cluster_name=name) + assert job_id_exec == 2 + assert handle_exec is not None + assert handle_exec.cluster_name == name + assert handle_exec.launched_resources.cloud.is_same_cloud(sky.GCP()) + # For dummy task (i.e. task.run is None), the job won't be submitted. + dummy_task = sky.Task() + job_id_dummy, _ = sky.exec(dummy_task, cluster_name=name) + assert job_id_dummy is None + sky.down(name) + + +# The sky launch CLI has some additional checks to make sure the cluster is up/ +# restarted. However, the core API doesn't have these; make sure it still works +def test_core_api_sky_launch_fast(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + cloud = sky.clouds.CLOUD_REGISTRY.from_str(generic_cloud) + try: + task = sky.Task(run="whoami").set_resources(sky.Resources(cloud=cloud)) + sky.launch(task, + cluster_name=name, + idle_minutes_to_autostop=1, + fast=True) + # Sleep to let the cluster autostop + smoke_tests_utils.get_cmd_wait_until_cluster_status_contains( + cluster_name=name, + cluster_status=[sky.ClusterStatus.STOPPED], + timeout=120) + # Run it again - should work with fast=True + sky.launch(task, + cluster_name=name, + idle_minutes_to_autostop=1, + fast=True) + finally: + sky.down(name) + + +# ---------- Testing YAML Specs ---------- +# Our sky storage requires credentials to check the bucket existance when +# loading a task from the yaml file, so we cannot make it a unit test. +class TestYamlSpecs: + # TODO(zhwu): Add test for `to_yaml_config` for the Storage object. + # We should not use `examples/storage_demo.yaml` here, since it requires + # users to ensure bucket names to not exist and/or be unique. + _TEST_YAML_PATHS = [ + 'examples/minimal.yaml', 'examples/managed_job.yaml', + 'examples/using_file_mounts.yaml', 'examples/resnet_app.yaml', + 'examples/multi_hostname.yaml' + ] + + def _is_dict_subset(self, d1, d2): + """Check if d1 is the subset of d2.""" + for k, v in d1.items(): + if k not in d2: + if isinstance(v, list) or isinstance(v, dict): + assert len(v) == 0, (k, v) + else: + assert False, (k, v) + elif isinstance(v, dict): + assert isinstance(d2[k], dict), (k, v, d2) + self._is_dict_subset(v, d2[k]) + elif isinstance(v, str): + if k == 'accelerators': + resources = sky.Resources() + resources._set_accelerators(v, None) + assert resources.accelerators == d2[k], (k, v, d2) + else: + assert v.lower() == d2[k].lower(), (k, v, d2[k]) + else: + assert v == d2[k], (k, v, d2[k]) + + def _check_equivalent(self, yaml_path): + """Check if the yaml is equivalent after load and dump again.""" + origin_task_config = common_utils.read_yaml(yaml_path) + + task = sky.Task.from_yaml(yaml_path) + new_task_config = task.to_yaml_config() + # d1 <= d2 + print(origin_task_config, new_task_config) + self._is_dict_subset(origin_task_config, new_task_config) + + def test_load_dump_yaml_config_equivalent(self): + """Test if the yaml config is equivalent after load and dump again.""" + pathlib.Path('~/datasets').expanduser().mkdir(exist_ok=True) + pathlib.Path('~/tmpfile').expanduser().touch() + pathlib.Path('~/.ssh').expanduser().mkdir(exist_ok=True) + pathlib.Path('~/.ssh/id_rsa.pub').expanduser().touch() + pathlib.Path('~/tmp-workdir').expanduser().mkdir(exist_ok=True) + pathlib.Path('~/Downloads/tpu').expanduser().mkdir(parents=True, + exist_ok=True) + for yaml_path in self._TEST_YAML_PATHS: + self._check_equivalent(yaml_path) + + +# ---------- Testing Multiple Accelerators ---------- +@pytest.mark.no_fluidstack # Fluidstack does not support K80 gpus for now +@pytest.mark.no_paperspace # Paperspace does not support K80 gpus +def test_multiple_accelerators_ordered(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'multiple-accelerators-ordered', + [ + f'sky launch -y -c {name} tests/test_yamls/test_multiple_accelerators_ordered.yaml | grep "Using user-specified accelerators list"', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + ], + f'sky down -y {name}', + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.no_fluidstack # Fluidstack has low availability for T4 GPUs +@pytest.mark.no_paperspace # Paperspace does not support T4 GPUs +def test_multiple_accelerators_ordered_with_default(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'multiple-accelerators-ordered', + [ + f'sky launch -y -c {name} tests/test_yamls/test_multiple_accelerators_ordered_with_default.yaml | grep "Using user-specified accelerators list"', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky status {name} | grep Spot', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.no_fluidstack # Fluidstack has low availability for T4 GPUs +@pytest.mark.no_paperspace # Paperspace does not support T4 GPUs +def test_multiple_accelerators_unordered(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'multiple-accelerators-unordered', + [ + f'sky launch -y -c {name} tests/test_yamls/test_multiple_accelerators_unordered.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.no_fluidstack # Fluidstack has low availability for T4 GPUs +@pytest.mark.no_paperspace # Paperspace does not support T4 GPUs +def test_multiple_accelerators_unordered_with_default(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'multiple-accelerators-unordered-with-default', + [ + f'sky launch -y -c {name} tests/test_yamls/test_multiple_accelerators_unordered_with_default.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky status {name} | grep Spot', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.no_fluidstack # Requires other clouds to be enabled +def test_multiple_resources(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'multiple-resources', + [ + f'sky launch -y -c {name} tests/test_yamls/test_multiple_resources.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Sky Benchmark ---------- +@pytest.mark.no_fluidstack # Requires other clouds to be enabled +@pytest.mark.no_paperspace # Requires other clouds to be enabled +@pytest.mark.no_kubernetes +@pytest.mark.aws # SkyBenchmark requires S3 access +def test_sky_bench(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'sky-bench', + [ + f'sky bench launch -y -b {name} --cloud {generic_cloud} -i0 tests/test_yamls/minimal.yaml', + 'sleep 120', + f'sky bench show {name} | grep sky-bench-{name} | grep FINISHED', + ], + f'sky bench down {name} -y; sky bench delete {name} -y', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.kubernetes +def test_kubernetes_context_failover(): + """Test if the kubernetes context failover works. + + This test requires two kubernetes clusters: + - kind-skypilot: the local cluster with mock labels for 8 H100 GPUs. + - another accessible cluster: with enough CPUs + To start the first cluster, run: + sky local up + # Add mock label for accelerator + kubectl label node --overwrite skypilot-control-plane skypilot.co/accelerator=h100 --context kind-skypilot + # Get the token for the cluster in context kind-skypilot + TOKEN=$(kubectl config view --minify --context kind-skypilot -o jsonpath=\'{.users[0].user.token}\') + # Get the API URL for the cluster in context kind-skypilot + API_URL=$(kubectl config view --minify --context kind-skypilot -o jsonpath=\'{.clusters[0].cluster.server}\') + # Add mock capacity for GPU + curl --header "Content-Type: application/json-patch+json" --header "Authorization: Bearer $TOKEN" --request PATCH --data \'[{"op": "add", "path": "/status/capacity/nvidia.com~1gpu", "value": "8"}]\' "$API_URL/api/v1/nodes/skypilot-control-plane/status" + # Add a new namespace to test the handling of namespaces + kubectl create namespace test-namespace --context kind-skypilot + # Set the namespace to test-namespace + kubectl config set-context kind-skypilot --namespace=test-namespace --context kind-skypilot + """ + # Get context that is not kind-skypilot + contexts = subprocess.check_output('kubectl config get-contexts -o name', + shell=True).decode('utf-8').split('\n') + context = [context for context in contexts if context != 'kind-skypilot'][0] + config = textwrap.dedent(f"""\ + kubernetes: + allowed_contexts: + - kind-skypilot + - {context} + """) + with tempfile.NamedTemporaryFile(delete=True) as f: + f.write(config.encode('utf-8')) + f.flush() + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'kubernetes-context-failover', + [ + # Check if kind-skypilot is provisioned with H100 annotations already + 'NODE_INFO=$(kubectl get nodes -o yaml --context kind-skypilot) && ' + 'echo "$NODE_INFO" | grep nvidia.com/gpu | grep 8 && ' + 'echo "$NODE_INFO" | grep skypilot.co/accelerator | grep h100 || ' + '{ echo "kind-skypilot does not exist ' + 'or does not have mock labels for GPUs. Check the instructions in ' + 'tests/test_smoke.py::test_kubernetes_context_failover." && exit 1; }', + # Check namespace for kind-skypilot is test-namespace + 'kubectl get namespaces --context kind-skypilot | grep test-namespace || ' + '{ echo "Should set the namespace to test-namespace for kind-skypilot. Check the instructions in ' + 'tests/test_smoke.py::test_kubernetes_context_failover." && exit 1; }', + 'sky show-gpus --cloud kubernetes --region kind-skypilot | grep H100 | grep "1, 2, 3, 4, 5, 6, 7, 8"', + # Get contexts and set current context to the other cluster that is not kind-skypilot + f'kubectl config use-context {context}', + # H100 should not in the current context + '! sky show-gpus --cloud kubernetes | grep H100', + f'sky launch -y -c {name}-1 --cpus 1 echo hi', + f'sky logs {name}-1 --status', + # It should be launched not on kind-skypilot + f'sky status -a {name}-1 | grep "{context}"', + # Test failure for launching H100 on other cluster + f'sky launch -y -c {name}-2 --gpus H100 --cpus 1 --cloud kubernetes --region {context} echo hi && exit 1 || true', + # Test failover + f'sky launch -y -c {name}-3 --gpus H100 --cpus 1 --cloud kubernetes echo hi', + f'sky logs {name}-3 --status', + # Test pods + f'kubectl get pods --context kind-skypilot | grep "{name}-3"', + # It should be launched on kind-skypilot + f'sky status -a {name}-3 | grep "kind-skypilot"', + # Should be 7 free GPUs + f'sky show-gpus --cloud kubernetes --region kind-skypilot | grep H100 | grep " 7"', + # Remove the line with "kind-skypilot" + f'sed -i "/kind-skypilot/d" {f.name}', + # Should still be able to exec and launch on existing cluster + f'sky exec {name}-3 "echo hi"', + f'sky logs {name}-3 --status', + f'sky status -r {name}-3 | grep UP', + f'sky launch -c {name}-3 --gpus h100 echo hi', + f'sky logs {name}-3 --status', + f'sky status -r {name}-3 | grep UP', + ], + f'sky down -y {name}-1 {name}-3', + env={'SKYPILOT_CONFIG': f.name}, + ) + smoke_tests_utils.run_one_test(test) diff --git a/tests/smoke_tests/test_cluster_job.py b/tests/smoke_tests/test_cluster_job.py new file mode 100644 index 00000000000..0255884ae30 --- /dev/null +++ b/tests/smoke_tests/test_cluster_job.py @@ -0,0 +1,1649 @@ +# Smoke tests for SkyPilot for sky launched cluster and cluster job +# Default options are set in pyproject.toml +# Example usage: +# Run all tests except for AWS and Lambda Cloud +# > pytest tests/smoke_tests/test_cluster_job.py +# +# Terminate failed clusters after test finishes +# > pytest tests/smoke_tests/test_cluster_job.py --terminate-on-failure +# +# Re-run last failed tests +# > pytest --lf +# +# Run one of the smoke tests +# > pytest tests/smoke_tests/test_cluster_job.py::test_job_queue +# +# Only run test for AWS + generic tests +# > pytest tests/smoke_tests/test_cluster_job.py --aws +# +# Change cloud for generic tests to aws +# > pytest tests/smoke_tests/test_cluster_job.py --generic-cloud aws + +import pathlib +import tempfile +import textwrap + +import jinja2 +import pytest +from smoke_tests import smoke_tests_utils + +import sky +from sky import AWS +from sky import Azure +from sky import GCP +from sky.skylet import constants +from sky.utils import common_utils +from sky.utils import resources_utils + + +# ---------- Job Queue. ---------- +@pytest.mark.no_fluidstack # FluidStack DC has low availability of T4 GPUs +@pytest.mark.no_lambda_cloud # Lambda Cloud does not have T4 gpus +@pytest.mark.no_ibm # IBM Cloud does not have T4 gpus. run test_ibm_job_queue instead +@pytest.mark.no_scp # SCP does not have T4 gpus. Run test_scp_job_queue instead +@pytest.mark.no_paperspace # Paperspace does not have T4 gpus. +@pytest.mark.no_oci # OCI does not have T4 gpus +def test_job_queue(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'job_queue', + [ + f'sky launch -y -c {name} --cloud {generic_cloud} examples/job_queue/cluster.yaml', + f'sky exec {name} -n {name}-1 -d examples/job_queue/job.yaml', + f'sky exec {name} -n {name}-2 -d examples/job_queue/job.yaml', + f'sky exec {name} -n {name}-3 -d examples/job_queue/job.yaml', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-1 | grep RUNNING', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-2 | grep RUNNING', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-3 | grep PENDING', + f'sky cancel -y {name} 2', + 'sleep 5', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-3 | grep RUNNING', + f'sky cancel -y {name} 3', + f'sky exec {name} --gpus T4:0.2 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', + f'sky exec {name} --gpus T4:1 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', + f'sky logs {name} 4 --status', + f'sky logs {name} 5 --status', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Job Queue with Docker. ---------- +@pytest.mark.no_fluidstack # FluidStack does not support docker for now +@pytest.mark.no_lambda_cloud # Doesn't support Lambda Cloud for now +@pytest.mark.no_ibm # Doesn't support IBM Cloud for now +@pytest.mark.no_paperspace # Paperspace doesn't have T4 GPUs +@pytest.mark.no_scp # Doesn't support SCP for now +@pytest.mark.no_oci # Doesn't support OCI for now +@pytest.mark.no_kubernetes # Doesn't support Kubernetes for now +@pytest.mark.parametrize( + 'image_id', + [ + 'docker:nvidia/cuda:11.8.0-devel-ubuntu18.04', + 'docker:ubuntu:18.04', + # Test latest image with python 3.11 installed by default. + 'docker:continuumio/miniconda3:24.1.2-0', + # Test python>=3.12 where SkyPilot should automatically create a separate + # conda env for runtime with python 3.10. + 'docker:continuumio/miniconda3:latest', + # Axolotl image is a good example custom image that has its conda path + # set in PATH with dockerfile and uses python>=3.12. It could test: + # 1. we handle the env var set in dockerfile correctly + # 2. python>=3.12 works with SkyPilot runtime. + 'docker:winglian/axolotl:main-latest' + ]) +def test_job_queue_with_docker(generic_cloud: str, image_id: str): + name = smoke_tests_utils.get_cluster_name() + image_id[len('docker:'):][:4] + total_timeout_minutes = 40 if generic_cloud == 'azure' else 15 + time_to_sleep = 300 if generic_cloud == 'azure' else 180 + test = smoke_tests_utils.Test( + 'job_queue_with_docker', + [ + f'sky launch -y -c {name} --cloud {generic_cloud} --image-id {image_id} examples/job_queue/cluster_docker.yaml', + f'sky exec {name} -n {name}-1 -d --image-id {image_id} --env TIME_TO_SLEEP={time_to_sleep} examples/job_queue/job_docker.yaml', + f'sky exec {name} -n {name}-2 -d --image-id {image_id} --env TIME_TO_SLEEP={time_to_sleep} examples/job_queue/job_docker.yaml', + f'sky exec {name} -n {name}-3 -d --image-id {image_id} --env TIME_TO_SLEEP={time_to_sleep} examples/job_queue/job_docker.yaml', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-1 | grep RUNNING', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-2 | grep RUNNING', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-3 | grep PENDING', + f'sky cancel -y {name} 2', + 'sleep 5', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-3 | grep RUNNING', + f'sky cancel -y {name} 3', + # Make sure the GPU is still visible to the container. + f'sky exec {name} --image-id {image_id} nvidia-smi | grep "Tesla T4"', + f'sky logs {name} 4 --status', + f'sky stop -y {name}', + # Make sure the job status preserve after stop and start the + # cluster. This is also a test for the docker container to be + # preserved after stop and start. + f'sky start -y {name}', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-1 | grep FAILED', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-2 | grep CANCELLED', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-3 | grep CANCELLED', + f'sky exec {name} --gpus T4:0.2 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', + f'sky exec {name} --gpus T4:1 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', + f'sky logs {name} 5 --status', + f'sky logs {name} 6 --status', + # Make sure it is still visible after an stop & start cycle. + f'sky exec {name} --image-id {image_id} nvidia-smi | grep "Tesla T4"', + f'sky logs {name} 7 --status' + ], + f'sky down -y {name}', + timeout=total_timeout_minutes * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.lambda_cloud +def test_lambda_job_queue(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'lambda_job_queue', + [ + f'sky launch -y -c {name} {smoke_tests_utils.LAMBDA_TYPE} examples/job_queue/cluster.yaml', + f'sky exec {name} -n {name}-1 --gpus A10:0.5 -d examples/job_queue/job.yaml', + f'sky exec {name} -n {name}-2 --gpus A10:0.5 -d examples/job_queue/job.yaml', + f'sky exec {name} -n {name}-3 --gpus A10:0.5 -d examples/job_queue/job.yaml', + f'sky queue {name} | grep {name}-1 | grep RUNNING', + f'sky queue {name} | grep {name}-2 | grep RUNNING', + f'sky queue {name} | grep {name}-3 | grep PENDING', + f'sky cancel -y {name} 2', + 'sleep 5', + f'sky queue {name} | grep {name}-3 | grep RUNNING', + f'sky cancel -y {name} 3', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.ibm +def test_ibm_job_queue(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'ibm_job_queue', + [ + f'sky launch -y -c {name} --cloud ibm --gpus v100', + f'sky exec {name} -n {name}-1 --cloud ibm -d examples/job_queue/job_ibm.yaml', + f'sky exec {name} -n {name}-2 --cloud ibm -d examples/job_queue/job_ibm.yaml', + f'sky exec {name} -n {name}-3 --cloud ibm -d examples/job_queue/job_ibm.yaml', + f'sky queue {name} | grep {name}-1 | grep RUNNING', + f'sky queue {name} | grep {name}-2 | grep RUNNING', + f'sky queue {name} | grep {name}-3 | grep PENDING', + f'sky cancel -y {name} 2', + 'sleep 5', + f'sky queue {name} | grep {name}-3 | grep RUNNING', + f'sky cancel -y {name} 3', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.scp +def test_scp_job_queue(): + name = smoke_tests_utils.get_cluster_name() + num_of_gpu_launch = 1 + num_of_gpu_exec = 0.5 + test = smoke_tests_utils.Test( + 'SCP_job_queue', + [ + f'sky launch -y -c {name} {smoke_tests_utils.SCP_TYPE} {smoke_tests_utils.SCP_GPU_V100}:{num_of_gpu_launch} examples/job_queue/cluster.yaml', + f'sky exec {name} -n {name}-1 {smoke_tests_utils.SCP_GPU_V100}:{num_of_gpu_exec} -d examples/job_queue/job.yaml', + f'sky exec {name} -n {name}-2 {smoke_tests_utils.SCP_GPU_V100}:{num_of_gpu_exec} -d examples/job_queue/job.yaml', + f'sky exec {name} -n {name}-3 {smoke_tests_utils.SCP_GPU_V100}:{num_of_gpu_exec} -d examples/job_queue/job.yaml', + f'sky queue {name} | grep {name}-1 | grep RUNNING', + f'sky queue {name} | grep {name}-2 | grep RUNNING', + f'sky queue {name} | grep {name}-3 | grep PENDING', + f'sky cancel -y {name} 2', + 'sleep 5', + f'sky queue {name} | grep {name}-3 | grep RUNNING', + f'sky cancel -y {name} 3', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.no_fluidstack # FluidStack DC has low availability of T4 GPUs +@pytest.mark.no_lambda_cloud # Lambda Cloud does not have T4 gpus +@pytest.mark.no_ibm # IBM Cloud does not have T4 gpus. run test_ibm_job_queue_multinode instead +@pytest.mark.no_paperspace # Paperspace does not have T4 gpus. +@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet +@pytest.mark.no_oci # OCI Cloud does not have T4 gpus. +@pytest.mark.no_kubernetes # Kubernetes not support num_nodes > 1 yet +def test_job_queue_multinode(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + total_timeout_minutes = 30 if generic_cloud == 'azure' else 15 + test = smoke_tests_utils.Test( + 'job_queue_multinode', + [ + f'sky launch -y -c {name} --cloud {generic_cloud} examples/job_queue/cluster_multinode.yaml', + f'sky exec {name} -n {name}-1 -d examples/job_queue/job_multinode.yaml', + f'sky exec {name} -n {name}-2 -d examples/job_queue/job_multinode.yaml', + f'sky launch -c {name} -n {name}-3 --detach-setup -d examples/job_queue/job_multinode.yaml', + f's=$(sky queue {name}) && echo "$s" && (echo "$s" | grep {name}-1 | grep RUNNING)', + f's=$(sky queue {name}) && echo "$s" && (echo "$s" | grep {name}-2 | grep RUNNING)', + f's=$(sky queue {name}) && echo "$s" && (echo "$s" | grep {name}-3 | grep PENDING)', + 'sleep 90', + f'sky cancel -y {name} 1', + 'sleep 5', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-3 | grep SETTING_UP', + f'sky cancel -y {name} 1 2 3', + f'sky launch -c {name} -n {name}-4 --detach-setup -d examples/job_queue/job_multinode.yaml', + # Test the job status is correctly set to SETTING_UP, during the setup is running, + # and the job can be cancelled during the setup. + 'sleep 5', + f's=$(sky queue {name}) && echo "$s" && (echo "$s" | grep {name}-4 | grep SETTING_UP)', + f'sky cancel -y {name} 4', + f's=$(sky queue {name}) && echo "$s" && (echo "$s" | grep {name}-4 | grep CANCELLED)', + f'sky exec {name} --gpus T4:0.2 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', + f'sky exec {name} --gpus T4:0.2 --num-nodes 2 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', + f'sky exec {name} --gpus T4:1 --num-nodes 2 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', + f'sky logs {name} 5 --status', + f'sky logs {name} 6 --status', + f'sky logs {name} 7 --status', + ], + f'sky down -y {name}', + timeout=total_timeout_minutes * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.no_fluidstack # No FluidStack VM has 8 CPUs +@pytest.mark.no_lambda_cloud # No Lambda Cloud VM has 8 CPUs +def test_large_job_queue(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'large_job_queue', + [ + f'sky launch -y -c {name} --cpus 8 --cloud {generic_cloud}', + f'for i in `seq 1 75`; do sky exec {name} -n {name}-$i -d "echo $i; sleep 100000000"; done', + f'sky cancel -y {name} 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16', + 'sleep 90', + + # Each job takes 0.5 CPU and the default VM has 8 CPUs, so there should be 8 / 0.5 = 16 jobs running. + # The first 16 jobs are canceled, so there should be 75 - 32 = 43 jobs PENDING. + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep -v grep | grep PENDING | wc -l | grep 43', + # Make sure the jobs are scheduled in FIFO order + *[ + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-{i} | grep CANCELLED' + for i in range(1, 17) + ], + *[ + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-{i} | grep RUNNING' + for i in range(17, 33) + ], + *[ + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-{i} | grep PENDING' + for i in range(33, 75) + ], + f'sky cancel -y {name} 33 35 37 39 17 18 19', + *[ + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-{i} | grep CANCELLED' + for i in range(33, 40, 2) + ], + 'sleep 10', + *[ + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep {name}-{i} | grep RUNNING' + for i in [34, 36, 38] + ], + ], + f'sky down -y {name}', + timeout=25 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.no_fluidstack # No FluidStack VM has 8 CPUs +@pytest.mark.no_lambda_cloud # No Lambda Cloud VM has 8 CPUs +def test_fast_large_job_queue(generic_cloud: str): + # This is to test the jobs can be scheduled quickly when there are many jobs in the queue. + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'fast_large_job_queue', + [ + f'sky launch -y -c {name} --cpus 8 --cloud {generic_cloud}', + f'for i in `seq 1 32`; do sky exec {name} -n {name}-$i -d "echo $i"; done', + 'sleep 60', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep -v grep | grep SUCCEEDED | wc -l | grep 32', + ], + f'sky down -y {name}', + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.ibm +def test_ibm_job_queue_multinode(): + name = smoke_tests_utils.get_cluster_name() + task_file = 'examples/job_queue/job_multinode_ibm.yaml' + test = smoke_tests_utils.Test( + 'ibm_job_queue_multinode', + [ + f'sky launch -y -c {name} --cloud ibm --gpus v100 --num-nodes 2', + f'sky exec {name} -n {name}-1 -d {task_file}', + f'sky exec {name} -n {name}-2 -d {task_file}', + f'sky launch -y -c {name} -n {name}-3 --detach-setup -d {task_file}', + f's=$(sky queue {name}) && printf "$s" && (echo "$s" | grep {name}-1 | grep RUNNING)', + f's=$(sky queue {name}) && printf "$s" && (echo "$s" | grep {name}-2 | grep RUNNING)', + f's=$(sky queue {name}) && printf "$s" && (echo "$s" | grep {name}-3 | grep SETTING_UP)', + 'sleep 90', + f's=$(sky queue {name}) && printf "$s" && (echo "$s" | grep {name}-3 | grep PENDING)', + f'sky cancel -y {name} 1', + 'sleep 5', + f'sky queue {name} | grep {name}-3 | grep RUNNING', + f'sky cancel -y {name} 1 2 3', + f'sky launch -c {name} -n {name}-4 --detach-setup -d {task_file}', + # Test the job status is correctly set to SETTING_UP, during the setup is running, + # and the job can be cancelled during the setup. + f's=$(sky queue {name}) && printf "$s" && (echo "$s" | grep {name}-4 | grep SETTING_UP)', + f'sky cancel -y {name} 4', + f's=$(sky queue {name}) && printf "$s" && (echo "$s" | grep {name}-4 | grep CANCELLED)', + f'sky exec {name} --gpus v100:0.2 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', + f'sky exec {name} --gpus v100:0.2 --num-nodes 2 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', + f'sky exec {name} --gpus v100:1 --num-nodes 2 "[[ \$SKYPILOT_NUM_GPUS_PER_NODE -eq 1 ]] || exit 1"', + f'sky logs {name} 5 --status', + f'sky logs {name} 6 --status', + f'sky logs {name} 7 --status', + ], + f'sky down -y {name}', + timeout=20 * 60, # 20 mins + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Docker with preinstalled package. ---------- +@pytest.mark.no_fluidstack # Doesn't support Fluidstack for now +@pytest.mark.no_lambda_cloud # Doesn't support Lambda Cloud for now +@pytest.mark.no_ibm # Doesn't support IBM Cloud for now +@pytest.mark.no_scp # Doesn't support SCP for now +@pytest.mark.no_oci # Doesn't support OCI for now +@pytest.mark.no_kubernetes # Doesn't support Kubernetes for now +# TODO(zhwu): we should fix this for kubernetes +def test_docker_preinstalled_package(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'docker_with_preinstalled_package', + [ + f'sky launch -y -c {name} --cloud {generic_cloud} --image-id docker:nginx', + f'sky exec {name} "nginx -V"', + f'sky logs {name} 1 --status', + f'sky exec {name} whoami | grep root', + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Submitting multiple tasks to the same cluster. ---------- +@pytest.mark.no_fluidstack # FluidStack DC has low availability of T4 GPUs +@pytest.mark.no_lambda_cloud # Lambda Cloud does not have T4 gpus +@pytest.mark.no_paperspace # Paperspace does not have T4 gpus +@pytest.mark.no_ibm # IBM Cloud does not have T4 gpus +@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet +@pytest.mark.no_oci # OCI Cloud does not have T4 gpus +def test_multi_echo(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'multi_echo', + [ + f'python examples/multi_echo.py {name} {generic_cloud}', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep "FAILED" && exit 1 || true', + 'sleep 10', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep "FAILED" && exit 1 || true', + 'sleep 30', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep "FAILED" && exit 1 || true', + 'sleep 30', + # Make sure that our job scheduler is fast enough to have at least + # 10 RUNNING jobs in parallel. + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep "RUNNING" | wc -l | awk \'{{if ($1 < 10) exit 1}}\'', + 'sleep 30', + f's=$(sky queue {name}); echo "$s"; echo; echo; echo "$s" | grep "FAILED" && exit 1 || true', + f'until sky logs {name} 32 --status; do echo "Waiting for job 32 to finish..."; sleep 1; done', + ] + + # Ensure jobs succeeded. + [ + smoke_tests_utils. + get_cmd_wait_until_job_status_contains_matching_job_id( + cluster_name=name, + job_id=i + 1, + job_status=[sky.JobStatus.SUCCEEDED], + timeout=120) for i in range(32) + ] + + # Ensure monitor/autoscaler didn't crash on the 'assert not + # unfulfilled' error. If process not found, grep->ssh returns 1. + [f'ssh {name} \'ps aux | grep "[/]"monitor.py\''], + f'sky down -y {name}', + timeout=20 * 60, + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Task: 1 node training. ---------- +@pytest.mark.no_fluidstack # Fluidstack does not have T4 gpus for now +@pytest.mark.no_lambda_cloud # Lambda Cloud does not have V100 gpus +@pytest.mark.no_ibm # IBM cloud currently doesn't provide public image with CUDA +@pytest.mark.no_scp # SCP does not have V100 (16GB) GPUs. Run test_scp_huggingface instead. +def test_huggingface(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'huggingface_glue_imdb_app', + [ + f'sky launch -y -c {name} --cloud {generic_cloud} examples/huggingface_glue_imdb_app.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky exec {name} examples/huggingface_glue_imdb_app.yaml', + f'sky logs {name} 2 --status', # Ensure the job succeeded. + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.lambda_cloud +def test_lambda_huggingface(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'lambda_huggingface_glue_imdb_app', + [ + f'sky launch -y -c {name} {smoke_tests_utils.LAMBDA_TYPE} examples/huggingface_glue_imdb_app.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky exec {name} {smoke_tests_utils.LAMBDA_TYPE} examples/huggingface_glue_imdb_app.yaml', + f'sky logs {name} 2 --status', # Ensure the job succeeded. + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.scp +def test_scp_huggingface(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + num_of_gpu_launch = 1 + test = smoke_tests_utils.Test( + 'SCP_huggingface_glue_imdb_app', + [ + f'sky launch -y -c {name} {smoke_tests_utils.SCP_TYPE} {smoke_tests_utils.SCP_GPU_V100}:{num_of_gpu_launch} examples/huggingface_glue_imdb_app.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky exec {name} {smoke_tests_utils.SCP_TYPE} {smoke_tests_utils.SCP_GPU_V100}:{num_of_gpu_launch} examples/huggingface_glue_imdb_app.yaml', + f'sky logs {name} 2 --status', # Ensure the job succeeded. + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Inferentia. ---------- +@pytest.mark.aws +def test_inferentia(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'test_inferentia', + [ + f'sky launch -y -c {name} -t inf2.xlarge -- echo hi', + f'sky exec {name} --gpus Inferentia:1 echo hi', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky logs {name} 2 --status', # Ensure the job succeeded. + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- TPU. ---------- +@pytest.mark.gcp +@pytest.mark.tpu +def test_tpu(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'tpu_app', + [ + f'sky launch -y -c {name} examples/tpu/tpu_app.yaml', + f'sky logs {name} 1', # Ensure the job finished. + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky launch -y -c {name} examples/tpu/tpu_app.yaml | grep "TPU .* already exists"', # Ensure sky launch won't create another TPU. + ], + f'sky down -y {name}', + timeout=30 * 60, # can take >20 mins + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- TPU VM. ---------- +@pytest.mark.gcp +@pytest.mark.tpu +def test_tpu_vm(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'tpu_vm_app', + [ + f'sky launch -y -c {name} examples/tpu/tpuvm_mnist.yaml', + f'sky logs {name} 1', # Ensure the job finished. + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky stop -y {name}', + f's=$(sky status {name} --refresh); echo "$s"; echo; echo; echo "$s" | grep {name} | grep STOPPED', # Ensure the cluster is STOPPED. + # Use retry: guard against transient errors observed for + # just-stopped TPU VMs (#962). + f'sky start --retry-until-up -y {name}', + f'sky exec {name} examples/tpu/tpuvm_mnist.yaml', + f'sky logs {name} 2 --status', # Ensure the job succeeded. + f'sky stop -y {name}', + ], + f'sky down -y {name}', + timeout=30 * 60, # can take 30 mins + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- TPU VM Pod. ---------- +@pytest.mark.gcp +@pytest.mark.tpu +def test_tpu_vm_pod(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'tpu_pod', + [ + f'sky launch -y -c {name} examples/tpu/tpuvm_mnist.yaml --gpus tpu-v2-32 --use-spot --zone europe-west4-a', + f'sky logs {name} 1', # Ensure the job finished. + f'sky logs {name} 1 --status', # Ensure the job succeeded. + ], + f'sky down -y {name}', + timeout=30 * 60, # can take 30 mins + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- TPU Pod Slice on GKE. ---------- +@pytest.mark.kubernetes +def test_tpu_pod_slice_gke(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'tpu_pod_slice_gke', + [ + f'sky launch -y -c {name} examples/tpu/tpuvm_mnist.yaml --cloud kubernetes --gpus tpu-v5-lite-podslice', + f'sky logs {name} 1', # Ensure the job finished. + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky exec {name} "conda activate flax; python -c \'import jax; print(jax.devices()[0].platform);\' | grep tpu || exit 1;"', # Ensure TPU is reachable. + f'sky logs {name} 2 --status' + ], + f'sky down -y {name}', + timeout=30 * 60, # can take 30 mins + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Simple apps. ---------- +@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet +def test_multi_hostname(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + total_timeout_minutes = 25 if generic_cloud == 'azure' else 15 + test = smoke_tests_utils.Test( + 'multi_hostname', + [ + f'sky launch -y -c {name} --cloud {generic_cloud} examples/multi_hostname.yaml', + f'sky logs {name} 1 --status', # Ensure the job succeeded. + f'sky logs {name} 1 | grep "My hostname:" | wc -l | grep 2', # Ensure there are 2 hosts. + f'sky exec {name} examples/multi_hostname.yaml', + f'sky logs {name} 2 --status', # Ensure the job succeeded. + ], + f'sky down -y {name}', + timeout=smoke_tests_utils.get_timeout(generic_cloud, + total_timeout_minutes * 60), + ) + smoke_tests_utils.run_one_test(test) + + +@pytest.mark.no_scp # SCP does not support num_nodes > 1 yet +def test_multi_node_failure(generic_cloud: str): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'multi_node_failure', + [ + # TODO(zhwu): we use multi-thread to run the commands in setup + # commands in parallel, which makes it impossible to fail fast + # when one of the nodes fails. We should fix this in the future. + # The --detach-setup version can fail fast, as the setup is + # submitted to the remote machine, which does not use multi-thread. + # Refer to the comment in `subprocess_utils.run_in_parallel`. + # f'sky launch -y -c {name} --cloud {generic_cloud} tests/test_yamls/failed_worker_setup.yaml && exit 1', # Ensure the job setup failed. + f'sky launch -y -c {name} --cloud {generic_cloud} --detach-setup tests/test_yamls/failed_worker_setup.yaml', + f'sky logs {name} 1 --status | grep FAILED_SETUP', # Ensure the job setup failed. + f'sky exec {name} tests/test_yamls/failed_worker_run.yaml', + f'sky logs {name} 2 --status | grep FAILED', # Ensure the job failed. + f'sky logs {name} 2 | grep "My hostname:" | wc -l | grep 2', # Ensure there 2 of the hosts printed their hostname. + ], + f'sky down -y {name}', + ) + smoke_tests_utils.run_one_test(test) + + +# ---------- Web apps with custom ports on GCP. ---------- +@pytest.mark.gcp +def test_gcp_http_server_with_custom_ports(): + name = smoke_tests_utils.get_cluster_name() + test = smoke_tests_utils.Test( + 'gcp_http_server_with_custom_ports', + [ + f'sky launch -y -d -c {name} --cloud gcp examples/http_server_with_custom_ports/task.yaml', + f'until SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}; do sleep 10; done', + # Retry a few times to avoid flakiness in ports being open. + f'ip=$(SKYPILOT_DEBUG=0 sky status --endpoint 33828 {name}); success=false; for i in $(seq 1 5); do if curl $ip | grep "

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zvvO@KQx~~i2q%FO9zc_Zsmcyv-2Z0oW;PpM89b3(DTlfn*;W=Qz6p63}7;?QJq&eQ#3u*w1T>UE1G^(x&YBUr8=$9O!GF|mW m4%7sU21A-@O}3Y+!v6&-2eOcKjFV9S0000 Date: Wed, 13 Nov 2024 10:28:53 -0800 Subject: [PATCH 077/152] [Catalog] fix GCP catalog missing SKUs (#4322) * [Catalog] fix GCP catalog missing SKUs * remove debug * print out missing types * change to all is none * print zone as well --- .../data_fetchers/fetch_gcp.py | 20 ++++++++++++++++--- 1 file changed, 17 insertions(+), 3 deletions(-) diff --git a/sky/clouds/service_catalog/data_fetchers/fetch_gcp.py b/sky/clouds/service_catalog/data_fetchers/fetch_gcp.py index 8cc9fc6c127..e0ec7f66042 100644 --- a/sky/clouds/service_catalog/data_fetchers/fetch_gcp.py +++ b/sky/clouds/service_catalog/data_fetchers/fetch_gcp.py @@ -380,7 +380,7 @@ def get_vm_df(skus: List[Dict[str, Any]], region_prefix: str) -> 'pd.DataFrame': df = df[~df['AvailabilityZone'].str.startswith(tuple(TPU_V4_ZONES))] # TODO(woosuk): Make this more efficient. - def get_vm_price(row: pd.Series, spot: bool) -> float: + def get_vm_price(row: pd.Series, spot: bool) -> Optional[float]: series = row['InstanceType'].split('-')[0].lower() ondemand_or_spot = 'OnDemand' if not spot else 'Preemptible' @@ -431,12 +431,26 @@ def get_vm_price(row: pd.Series, spot: bool) -> float: if series in ['f1', 'g1']: memory_price = 0.0 - assert cpu_price is not None, row - assert memory_price is not None, row + # TODO(tian): (2024/11/10) Some SKUs are missing in the SKUs API. We + # skip them in the catalog for now. We should investigate why they are + # missing and add them back. + if cpu_price is None or memory_price is None: + return None return cpu_price + memory_price df['Price'] = df.apply(lambda row: get_vm_price(row, spot=False), axis=1) df['SpotPrice'] = df.apply(lambda row: get_vm_price(row, spot=True), axis=1) + dropped_rows = df[df['Price'].isna() & df['SpotPrice'].isna()] + dropped_info = (dropped_rows[['InstanceType', + 'AvailabilityZone']].drop_duplicates()) + az2missing = dropped_info.groupby('AvailabilityZone').apply( + lambda x: x['InstanceType'].tolist()) + print('Price not found for the following zones and instance types. ' + 'Dropping them.') + for az, instances in az2missing.items(): + print('-' * 30, az, '-' * 30) + print(', '.join(instances)) + df = df.dropna(subset=['Price', 'SpotPrice'], how='all') df = df.reset_index(drop=True) df = df.sort_values(['InstanceType', 'Region', 'AvailabilityZone']) return df From 914328acb8269d79e304ad891f84d220e077565c Mon Sep 17 00:00:00 2001 From: Shashank Rammoorthy <46056525+shashank2000@users.noreply.github.com> Date: Wed, 13 Nov 2024 11:28:25 -0800 Subject: [PATCH 078/152] Added user agent string for catalog downloading request (#4347) * added mozilla user agent string * switched to skypilot user string --- sky/clouds/service_catalog/common.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/sky/clouds/service_catalog/common.py b/sky/clouds/service_catalog/common.py index 1082b4e9efd..387d695d637 100644 --- a/sky/clouds/service_catalog/common.py +++ b/sky/clouds/service_catalog/common.py @@ -203,7 +203,8 @@ def _update_catalog(): f'Updating {cloud} catalog: {filename}') + f'{update_frequency_str}'): try: - r = requests.get(url) + r = requests.get(url=url, + headers={'User-Agent': 'SkyPilot/0.7'}) r.raise_for_status() except requests.exceptions.RequestException as e: error_str = (f'Failed to fetch {cloud} catalog ' From fa5c1bac554e37a6d42f7b23f89026f126a25232 Mon Sep 17 00:00:00 2001 From: Christopher Cooper Date: Wed, 13 Nov 2024 16:57:02 -0800 Subject: [PATCH 079/152] [smoke] if --generic-cloud is set, force enable that cloud (#4335) * [smoke] if --generic-cloud is set, force enable that cloud * [docs] update smoke test cloud info * if --generic-cloud is unspecified, use the first enabled cloud --- CONTRIBUTING.md | 14 +++++++------- tests/conftest.py | 21 +++++++++++++-------- 2 files changed, 20 insertions(+), 15 deletions(-) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 6542f6add27..fc115331fa2 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -1,7 +1,7 @@ # Contributing to SkyPilot -Thank you for your interest in contributing to SkyPilot! We welcome and value -all contributions to the project, including but not limited to: +Thank you for your interest in contributing to SkyPilot! We welcome and value +all contributions to the project, including but not limited to: * [Bug reports](https://github.com/skypilot-org/skypilot/issues) and [discussions](https://github.com/skypilot-org/skypilot/discussions) * [Pull requests](https://github.com/skypilot-org/skypilot/pulls) for bug fixes and new features @@ -26,7 +26,7 @@ pip install -r requirements-dev.txt ### Testing To run smoke tests (NOTE: Running all smoke tests launches ~20 clusters): ``` -# Run all tests except for AWS and Lambda Cloud +# Run all tests on AWS and Azure (default smoke test clouds) pytest tests/test_smoke.py # Terminate a test's cluster even if the test failed (default is to keep it around for debugging) @@ -41,11 +41,11 @@ pytest tests/test_smoke.py::test_minimal # Only run managed spot tests pytest tests/test_smoke.py --managed-spot -# Only run test for AWS + generic tests -pytest tests/test_smoke.py --aws +# Only run test for GCP + generic tests +pytest tests/test_smoke.py --gcp -# Change cloud for generic tests to aws -pytest tests/test_smoke.py --generic-cloud aws +# Change cloud for generic tests to Azure +pytest tests/test_smoke.py --generic-cloud azure ``` For profiling code, use: diff --git a/tests/conftest.py b/tests/conftest.py index c5c0f4a1515..ee5caf062b9 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,4 +1,4 @@ -from typing import List +from typing import List, Optional import common # TODO(zongheng): for some reason isort places it here. import pytest @@ -73,7 +73,6 @@ def pytest_addoption(parser): parser.addoption( '--generic-cloud', type=str, - default='aws', choices=all_clouds_in_smoke_tests, help='Cloud to use for generic tests. If the generic cloud is ' 'not within the clouds to be run, it will be reset to the first ' @@ -102,14 +101,21 @@ def pytest_configure(config): def _get_cloud_to_run(config) -> List[str]: cloud_to_run = [] + for cloud in all_clouds_in_smoke_tests: if config.getoption(f'--{cloud}'): if cloud == 'cloudflare': cloud_to_run.append(default_clouds_to_run[0]) else: cloud_to_run.append(cloud) - if not cloud_to_run: + + generic_cloud_option = config.getoption('--generic-cloud') + if generic_cloud_option is not None and generic_cloud_option not in cloud_to_run: + cloud_to_run.append(generic_cloud_option) + + if len(cloud_to_run) == 0: cloud_to_run = default_clouds_to_run + return cloud_to_run @@ -187,11 +193,10 @@ def _is_generic_test(item) -> bool: def _generic_cloud(config) -> str: - c = config.getoption('--generic-cloud') - cloud_to_run = _get_cloud_to_run(config) - if c not in cloud_to_run: - c = cloud_to_run[0] - return c + generic_cloud_option = config.getoption('--generic-cloud') + if generic_cloud_option is not None: + return generic_cloud_option + return _get_cloud_to_run(config)[0] @pytest.fixture From 1bcc08e5776d16ee418f40bd9a5e71cdfecb2d7e Mon Sep 17 00:00:00 2001 From: Romil Bhardwaj Date: Wed, 13 Nov 2024 18:18:33 -0800 Subject: [PATCH 080/152] [Docs] Update k8s docs (#4352) * Update docs * Update docs --- docs/source/reference/kubernetes/index.rst | 14 ------------- .../kubernetes/kubernetes-getting-started.rst | 20 +++++++++++++++++-- 2 files changed, 18 insertions(+), 16 deletions(-) diff --git a/docs/source/reference/kubernetes/index.rst b/docs/source/reference/kubernetes/index.rst index 86e153bd8fc..89a57862c88 100644 --- a/docs/source/reference/kubernetes/index.rst +++ b/docs/source/reference/kubernetes/index.rst @@ -103,17 +103,3 @@ Table of Contents Getting Started kubernetes-setup kubernetes-troubleshooting - - -Features and Roadmap --------------------- - -Kubernetes support is under active development. Some features are in progress and will be released soon: - -* CPU and GPU Tasks - ✅ Available -* Auto-down - ✅ Available -* Storage mounting - ✅ Available on x86_64 clusters -* Multi-node tasks - ✅ Available -* Custom images - ✅ Available -* Opening ports and exposing services - ✅ Available -* Multiple Kubernetes Clusters - 🚧 In progress diff --git a/docs/source/reference/kubernetes/kubernetes-getting-started.rst b/docs/source/reference/kubernetes/kubernetes-getting-started.rst index 775bb21ebbd..0e19eb6e266 100644 --- a/docs/source/reference/kubernetes/kubernetes-getting-started.rst +++ b/docs/source/reference/kubernetes/kubernetes-getting-started.rst @@ -261,9 +261,25 @@ After launching the cluster with :code:`sky launch -c myclus task.yaml`, you can FAQs ---- +* **Can I use multiple Kubernetes clusters with SkyPilot?** + + SkyPilot can work with multiple Kubernetes contexts set in your kubeconfig file. By default, SkyPilot will use the current active context. To use a different context, change your current context using :code:`kubectl config use-context `. + + If you would like to use multiple contexts seamlessly during failover, check out the :code:`allowed_contexts` feature in :ref:`config-yaml`. + * **Are autoscaling Kubernetes clusters supported?** - To run on an autoscaling cluster, you may need to adjust the resource provisioning timeout (:code:`Kubernetes.TIMEOUT` in `clouds/kubernetes.py`) to a large value to give enough time for the cluster to autoscale. We are working on a better interface to adjust this timeout - stay tuned! + To run on autoscaling clusters, set the :code:`provision_timeout` key in :code:`~/.sky/config.yaml` to a large value to give enough time for the cluster autoscaler to provision new nodes. + This will direct SkyPilot to wait for the cluster to scale up before failing over to the next candidate resource (e.g., next cloud). + + If you are using GPUs in a scale-to-zero setting, you should also set the :code:`autoscaler` key to the autoscaler type of your cluster. More details in :ref:`config-yaml`. + + .. code-block:: yaml + + # ~/.sky/config.yaml + kubernetes: + provision_timeout: 900 # Wait 15 minutes for nodes to get provisioned before failover. Set to -1 to wait indefinitely. + autoscaler: gke # [gke, karpenter, generic]; required if using GPUs in scale-to-zero setting * **Can SkyPilot provision a Kubernetes cluster for me? Will SkyPilot add more nodes to my Kubernetes clusters?** @@ -280,7 +296,7 @@ FAQs * **How can I specify custom configuration for the pods created by SkyPilot?** You can override the pod configuration used by SkyPilot by setting the :code:`pod_config` key in :code:`~/.sky/config.yaml`. - The value of :code:`pod_config` should be a dictionary that follows the `Kubernetes Pod API `_. + The value of :code:`pod_config` should be a dictionary that follows the `Kubernetes Pod API `_. For example, to set custom environment variables and attach a volume on your pods, you can add the following to your :code:`~/.sky/config.yaml` file: From a2e670d347b666f40edb7f675af87c86faec3971 Mon Sep 17 00:00:00 2001 From: Zongheng Yang Date: Wed, 13 Nov 2024 19:24:47 -0800 Subject: [PATCH 081/152] [Docs] resize image and move path up a level. (#4354) --- docs/source/docs/index.rst | 2 +- docs/source/images/sky-above-clouds-gen.jpg | Bin 0 -> 221042 bytes docs/source/images/sky-above-clouds-gen.png | Bin 3963256 -> 0 bytes .../{getting-started => }/sky-computing.rst | 2 +- 4 files changed, 2 insertions(+), 2 deletions(-) create mode 100644 docs/source/images/sky-above-clouds-gen.jpg delete mode 100644 docs/source/images/sky-above-clouds-gen.png rename docs/source/{getting-started => }/sky-computing.rst (99%) diff --git a/docs/source/docs/index.rst b/docs/source/docs/index.rst index e0260749a38..c5c44c63f47 100644 --- a/docs/source/docs/index.rst +++ b/docs/source/docs/index.rst @@ -130,7 +130,7 @@ Read the research: ../getting-started/quickstart ../examples/interactive-development ../getting-started/tutorial - ../getting-started/sky-computing + ../sky-computing .. toctree:: diff --git a/docs/source/images/sky-above-clouds-gen.jpg b/docs/source/images/sky-above-clouds-gen.jpg new file mode 100644 index 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