[DigitalOcean] droplet integration

docs/source/getting-started/installation.rst

@@ -59,6 +59,7 @@ Install SkyPilot using pip:
           pip install "skypilot-nightly[runpod]"
           pip install "skypilot-nightly[fluidstack]"
           pip install "skypilot-nightly[paperspace]"
+          pip install "skypilot-nightly[do]"
           pip install "skypilot-nightly[cudo]"
           pip install "skypilot-nightly[ibm]"
           pip install "skypilot-nightly[scp]"

sky/adaptors/do.py

@@ -0,0 +1,18 @@
+"""Digital Ocean cloud adaptors"""
+
+# pylint: disable=import-outside-toplevel
+
+from sky.adaptors import common
+
+_IMPORT_ERROR_MESSAGE = ('Failed to import dependencies for DO. '
+                         'Try pip install "skypilot[do]"')
+pydo = common.LazyImport('pydo', import_error_message=_IMPORT_ERROR_MESSAGE)
+azure = common.LazyImport('azure', import_error_message=_IMPORT_ERROR_MESSAGE)
+_LAZY_MODULES = (pydo, azure)
+
+
+@common.load_lazy_modules(modules=_LAZY_MODULES)
+def exceptions():
+    """Azure exceptions."""
+    from azure.core import exceptions as azure_exceptions
+    return azure_exceptions

sky/backends/backend_utils.py

@@ -1031,6 +1031,7 @@ def _add_auth_to_cluster_config(cloud: clouds.Cloud, cluster_config_file: str):
             clouds.Cudo,
             clouds.Paperspace,
             clouds.Azure,
+            clouds.DO,
     )):
         config = auth.configure_ssh_info(config)
     elif isinstance(cloud, clouds.GCP):

sky/backends/cloud_vm_ray_backend.py

@@ -175,6 +175,7 @@ def _get_cluster_config_template(cloud):
         clouds.SCP: 'scp-ray.yml.j2',
         clouds.OCI: 'oci-ray.yml.j2',
         clouds.Paperspace: 'paperspace-ray.yml.j2',
+        clouds.DO: 'do-ray.yml.j2',
         clouds.RunPod: 'runpod-ray.yml.j2',
         clouds.Kubernetes: 'kubernetes-ray.yml.j2',
         clouds.Vsphere: 'vsphere-ray.yml.j2',

sky/clouds/__init__.py

@@ -15,6 +15,7 @@
 from sky.clouds.aws import AWS
 from sky.clouds.azure import Azure
 from sky.clouds.cudo import Cudo
+from sky.clouds.do import DO
 from sky.clouds.fluidstack import Fluidstack
 from sky.clouds.gcp import GCP
 from sky.clouds.ibm import IBM
@@ -34,6 +35,7 @@
     'Cudo',
     'GCP',
     'Lambda',
+    'DO',
     'Paperspace',
     'SCP',
     'RunPod',

sky/clouds/do.py

@@ -0,0 +1,275 @@
+""" Digital Ocean Cloud. """
+
+import json
+import typing
+from typing import Dict, Iterator, List, Optional, Tuple
+
+from sky import clouds
+from sky.clouds import service_catalog
+from sky.provision.do import utils
+from sky.utils import resources_utils
+
+if typing.TYPE_CHECKING:
+    from sky import resources as resources_lib
+
+_CREDENTIAL_FILE = 'config.yaml'
+
+
+@clouds.CLOUD_REGISTRY.register
+class DO(clouds.Cloud):
+    """Digital Ocean Cloud"""
+
+    _REPR = 'DO'
+    _CLOUD_UNSUPPORTED_FEATURES = {
+        clouds.CloudImplementationFeatures.CLONE_DISK_FROM_CLUSTER:
+            'Migrating '
+            f'disk is not supported in {_REPR}.',
+        clouds.CloudImplementationFeatures.SPOT_INSTANCE:
+            'Spot instances are'
+            f' not supported in {_REPR}.',
+        clouds.CloudImplementationFeatures.IMAGE_ID:
+            'Specifying image ID '
+            f'is not supported for {_REPR}.',
+        clouds.CloudImplementationFeatures.CUSTOM_DISK_TIER:
+            'Custom disk tiers'
+            f' is not supported in {_REPR}.',
+        clouds.CloudImplementationFeatures.DOCKER_IMAGE:
+            'Docker container images as runtime environments'
+            f' are not supported in {_REPR}. Try using in `run`',
+    }
+    _MAX_CLUSTER_NAME_LEN_LIMIT = 120
+    _regions: List[clouds.Region] = []
+
+    # Using the latest SkyPilot provisioner API to provision and check status.
+    PROVISIONER_VERSION = clouds.ProvisionerVersion.SKYPILOT
+    STATUS_VERSION = clouds.StatusVersion.SKYPILOT
+
+    @classmethod
+    def _unsupported_features_for_resources(
+        cls, resources: 'resources_lib.Resources'
+    ) -> Dict[clouds.CloudImplementationFeatures, str]:
+        """The features not supported based on the resources provided.
+
+        This method is used by check_features_are_supported() to check if the
+        cloud implementation supports all the requested features.
+
+        Returns:
+            A dict of {feature: reason} for the features not supported by the
+            cloud implementation.
+        """
+        del resources  # unused
+        return cls._CLOUD_UNSUPPORTED_FEATURES
+
+    @classmethod
+    def _max_cluster_name_length(cls) -> Optional[int]:
+        return cls._MAX_CLUSTER_NAME_LEN_LIMIT
+
+    @classmethod
+    def regions_with_offering(
+        cls,
+        instance_type: str,
+        accelerators: Optional[Dict[str, int]],
+        use_spot: bool,
+        region: Optional[str],
+        zone: Optional[str],
+    ) -> List[clouds.Region]:
+        assert zone is None, 'DO 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, 'DO')
+
+        if region is not None:
+            regions = [r for r in regions if r.name == region]
+        return regions
+
+    @classmethod
+    def get_vcpus_mem_from_instance_type(
+        cls,
+        instance_type: str,
+    ) -> Tuple[Optional[float], Optional[float]]:
+        return service_catalog.get_vcpus_mem_from_instance_type(instance_type,
+                                                                clouds='DO')
+
+    @classmethod
+    def zones_provision_loop(
+        cls,
+        *,
+        region: str,
+        num_nodes: int,
+        instance_type: str,
+        accelerators: Optional[Dict[str, int]] = None,
+        use_spot: bool = False,
+    ) -> Iterator[None]:
+        del num_nodes  # unused
+        regions = cls.regions_with_offering(instance_type,
+                                            accelerators,
+                                            use_spot,
+                                            region=region,
+                                            zone=None)
+        for r in regions:
+            assert r.zones is None, r
+            yield r.zones
+
+    def instance_type_to_hourly_cost(
+        self,
+        instance_type: str,
+        use_spot: bool,
+        region: Optional[str] = None,
+        zone: Optional[str] = None,
+    ) -> float:
+        return service_catalog.get_hourly_cost(
+            instance_type,
+            use_spot=use_spot,
+            region=region,
+            zone=zone,
+            clouds='DO',
+        )
+
+    def accelerators_to_hourly_cost(
+        self,
+        accelerators: Dict[str, int],
+        use_spot: bool,
+        region: Optional[str] = None,
+        zone: Optional[str] = None,
+    ) -> float:
+        """Returns the hourly cost of the accelerators, in dollars/hour."""
+        del accelerators, use_spot, region, zone  # unused
+        return 0.0
+
+    def get_egress_cost(self, num_gigabytes: float) -> float:
+        return 0.0
+
+    def __repr__(self):
+        return self._REPR
+
+    @classmethod
+    def get_default_instance_type(
+        cls,
+        cpus: Optional[str] = None,
+        memory: Optional[str] = None,
+        disk_tier: Optional[resources_utils.DiskTier] = None,
+    ) -> Optional[str]:
+        """Returns the default instance type for DO."""
+        return service_catalog.get_default_instance_type(cpus=cpus,
+                                                         memory=memory,
+                                                         disk_tier=disk_tier,
+                                                         clouds='DO')
+
+    @classmethod
+    def get_accelerators_from_instance_type(
+            cls, instance_type: str) -> Optional[Dict[str, int]]:
+        return service_catalog.get_accelerators_from_instance_type(
+            instance_type, clouds='DO')
+
+    @classmethod
+    def get_zone_shell_cmd(cls) -> Optional[str]:
+        return None
+
+    def make_deploy_resources_variables(
+            self,
+            resources: 'resources_lib.Resources',
+            cluster_name: resources_utils.ClusterName,
+            region: 'clouds.Region',
+            zones: Optional[List['clouds.Zone']],
+            dryrun: bool = False) -> Dict[str, Optional[str]]:
+        del zones, dryrun, cluster_name
+
+        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
+
+        return {
+            'instance_type': resources.instance_type,
+            'custom_resources': custom_resources,
+            'region': region.name,
+        }
+
+    def _get_feasible_launchable_resources(
+            self, resources: 'resources_lib.Resources'):
+        """Returns a list of feasible resources for the given resources."""
+        if resources.use_spot:
+            # TODO: Add hints to all return values in this method to help
+            #  users understand why the resources are not launchable.
+            return resources_utils.FeasibleResources([], [], None)
+        if resources.instance_type is not None:
+            assert resources.is_launchable(), resources
+            resources = resources.copy(accelerators=None)
+            return resources_utils.FeasibleResources([resources], [], None)
+
+        def _make(instance_list):
+            resource_list = []
+            for instance_type in instance_list:
+                r = resources.copy(
+                    cloud=DO(),
+                    instance_type=instance_type,
+                    accelerators=None,
+                    cpus=None,
+                )
+                resource_list.append(r)
+            return resource_list
+
+        # Currently, handle a filter on accelerators only.
+        accelerators = resources.accelerators
+        if accelerators is None:
+            # Return a default instance type
+            default_instance_type = DO.get_default_instance_type(
+                cpus=resources.cpus,
+                memory=resources.memory,
+                disk_tier=resources.disk_tier)
+            if default_instance_type is None:
+                return resources_utils.FeasibleResources([], [], None)
+            else:
+                return resources_utils.FeasibleResources(
+                    _make([default_instance_type]), [], None)
+
+        assert len(accelerators) == 1, resources
+        acc, acc_count = list(accelerators.items())[0]
+        (instance_list, fuzzy_candidate_list) = (
+            service_catalog.get_instance_type_for_accelerator(
+                acc,
+                acc_count,
+                use_spot=resources.use_spot,
+                cpus=resources.cpus,
+                memory=resources.memory,
+                region=resources.region,
+                zone=resources.zone,
+                clouds='DO',
+            ))
+        if instance_list is None:
+            return resources_utils.FeasibleResources([], fuzzy_candidate_list,
+                                                     None)
+        return resources_utils.FeasibleResources(_make(instance_list),
+                                                 fuzzy_candidate_list, None)
+
+    @classmethod
+    def check_credentials(cls) -> Tuple[bool, Optional[str]]:
+        """Verify that the user has valid credentials for DO."""
+        try:
+            # attempt to make a CURL request for listing instances
+            utils.client().droplets.list()
+        except Exception as e:  # pylint: disable=broad-except
+            return False, str(e)
+
+        return True, None
+
+    def get_credential_file_mounts(self) -> Dict[str, str]:
+        utils.client()
+        return {f'~/.config/doctl/{_CREDENTIAL_FILE}': utils.CREDENTIALS_PATH}
+
+    @classmethod
+    def get_current_user_identity(cls) -> Optional[List[str]]:
+        # NOTE: used for very advanced SkyPilot functionality
+        # Can implement later if desired
+        return None
+
+    def instance_type_exists(self, instance_type: str) -> bool:
+        return service_catalog.instance_type_exists(instance_type, 'DO')
+
+    def validate_region_zone(self, region: Optional[str], zone: Optional[str]):
+        return service_catalog.validate_region_zone(region, zone, clouds='DO')

sky/clouds/service_catalog/constants.py

@@ -4,4 +4,4 @@
 CATALOG_DIR = '~/.sky/catalogs'
 ALL_CLOUDS = ('aws', 'azure', 'gcp', 'ibm', 'lambda', 'scp', 'oci',
               'kubernetes', 'runpod', 'vsphere', 'cudo', 'fluidstack',
-              'paperspace')
+              'paperspace', 'do')