diff --git a/.flake8 b/.flake8 index 1f124857e4..6a3a0d9984 100644 --- a/.flake8 +++ b/.flake8 @@ -4,4 +4,4 @@ max-line-length = 88 exclude = .git,__pycache__,build,dist,*_pb2.py,.venv per-file-ignores = robotoff/cli/main.py:B008 -max-doc-length = 79 \ No newline at end of file +max-doc-length = 88 \ No newline at end of file diff --git a/Makefile b/Makefile index 9b16983839..3ed8f2b714 100644 --- a/Makefile +++ b/Makefile @@ -19,10 +19,9 @@ DOCKER_COMPOSE_TEST=COMPOSE_PROJECT_NAME=robotoff_test COMMON_NET_NAME=po_test d ML_OBJECT_DETECTION_MODELS := tf-universal-logo-detector tf-nutrition-table tf-nutriscore # Spellcheck -IMAGE_NAME = spellcheck-batch-vllm -TAG = latest -GCLOUD_LOCATION = europe-west9-docker.pkg.dev -REGISTRY = ${GCLOUD_LOCATION}/robotoff/gcf-artifacts +SPELLCHECK_IMAGE_NAME = spellcheck-batch-vllm +SPELLCHECK_TAG = latest +SPELLCHECK_REGISTRY = europe-west9-docker.pkg.dev/robotoff/gcf-artifacts .DEFAULT_GOAL := dev # avoid target corresponding to file names, to depends on them @@ -300,12 +299,12 @@ create-po-default-network: # Spellcheck build-spellcheck: - docker build -f batch/spellcheck/Dockerfile -t $(IMAGE_NAME):$(TAG) batch/spellcheck + docker build -f batch/spellcheck/Dockerfile -t $(SPELLCHECK_IMAGE_NAME):$(SPELLCHECK_TAG) batch/spellcheck # Push the image to the registry push-spellcheck: - docker tag $(IMAGE_NAME):$(TAG) $(REGISTRY)/$(IMAGE_NAME):$(TAG) - docker push $(REGISTRY)/$(IMAGE_NAME):$(TAG) + docker tag $(SPELLCHECK_IMAGE_NAME):$(SPELLCHECK_TAG) $(SPELLCHECK_REGISTRY)/$(SPELLCHECK_IMAGE_NAME):$(SPELLCHECK_TAG) + docker push $(SPELLCHECK_REGISTRY)/$(SPELLCHECK_IMAGE_NAME):$(SPELLCHECK_TAG) # Build and push in one command deploy-spellcheck: diff --git a/docker-compose.yml b/docker-compose.yml index 61913943e9..bd738e2306 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -5,7 +5,6 @@ x-robotoff-base-volumes: - ./datasets:/opt/robotoff/datasets - ./models:/opt/robotoff/models - robotoff_tmp:/tmp - - ./credentials:/opt/credentials x-robotoff-base: &robotoff-base @@ -55,8 +54,6 @@ x-robotoff-base-env: IMAGE_MODERATION_SERVICE_URL: CROP_ALLOWED_DOMAINS: NUM_RQ_WORKERS: 4 # Update worker service command accordingly if you change this settings - GOOGLE_APPLICATION_CREDENTIALS: /opt/robotoff/credentials/google/credentials.json - GOOGLE_CLOUD_PROJECT: "robotoff" GOOGLE_CREDENTIALS: # JSON credentials pasted as environment variable BATCH_JOB_KEY: # Secure Batch job import with a token key diff --git a/docker/dev.yml b/docker/dev.yml index fe463fd10d..e851671ad8 100644 --- a/docker/dev.yml +++ b/docker/dev.yml @@ -14,6 +14,7 @@ x-robotoff-dev: &robotoff-dev - ./pyproject.toml:/opt/robotoff/pyproject.toml - ./poetry.toml:/opt/robotoff/poetry.toml - ./poetry.lock:/opt/robotoff/poetry.lock + - ./.flake8:/opt/robotoff/.flake8 # make tests available - ./tests:/opt/robotoff/tests - ./.cov:/opt/robotoff/.cov diff --git a/poetry.lock b/poetry.lock index 693e4b7ac8..109a11e2e2 100644 --- 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a/robotoff/batch/buckets.py +++ b/robotoff/batch/buckets.py @@ -1,16 +1,13 @@ import pandas as pd -from google.cloud import storage +from google.cloud import storage # type: ignore def upload_file_to_gcs(file_path: str, bucket_name: str, suffix: str) -> None: """Upload file to Google Storage Bucket. :param file_path: File where the data is stored - :type file_path: str :param bucket_name: Bucket name in GCP storage - :type bucket_name: str :param suffix: Path inside the bucket - :type suffix: str """ client = storage.Client() bucket = client.get_bucket(bucket_name) @@ -23,9 +20,7 @@ def fetch_dataframe_from_gcs(bucket_name: str, suffix: str) -> pd.DataFrame: :param bucket_name: Bucket name in GCP storage - :type bucket_name: str :param suffix: Path inside the bucket. Should lead to a parquet file. - :type suffix: str :return: Dataframe """ client = storage.Client() diff --git a/robotoff/batch/extraction.py b/robotoff/batch/extraction.py index 3f3637e9a8..32f809a6c6 100644 --- a/robotoff/batch/extraction.py +++ b/robotoff/batch/extraction.py @@ -19,7 +19,8 @@ def extract_from_dataset( :type query_file_path: Path :param output_file_path: Path to save the extracted data. :type output_file_path: str - :param dataset_path: Compressed jsonl database, defaults to settings.JSONL_DATASET_PATH + :param dataset_path: Compressed jsonl database, defaults to + settings.JSONL_DATASET_PATH :type dataset_path: Path, optional """ if not dataset_path.exists(): diff --git a/robotoff/batch/launch.py b/robotoff/batch/launch.py index 33fff6154c..e5e2dc2670 100644 --- a/robotoff/batch/launch.py +++ b/robotoff/batch/launch.py @@ -7,7 +7,7 @@ import yaml from google.cloud import batch_v1 -from pydantic import BaseModel, ConfigDict, Field +from pydantic import BaseModel, Field from robotoff import settings from robotoff.utils import get_logger @@ -16,27 +16,22 @@ def check_google_credentials() -> None: - """Create google credentials from variable if doesn't exist""" - credentials_path = os.getenv("GOOGLE_APPLICATION_CREDENTIALS") - if not credentials_path: - raise ValueError("GOOGLE_APPLICATION_CREDENTIALS is not set") - if not os.path.exists(credentials_path): + """Create google credentials from variable if doesn't exist.""" + credentials_path = settings.PROJECT_DIR / "credentials/google/credentials.json" + if not credentials_path.is_file(): logger.info( - "No google credentials found at %s. Creating credentials from GOOGLE_CREDENTIALS.", + "No google credentials found at %s. Creating credentials from GOOGLE_CREDENTIALS.", credentials_path, ) - os.makedirs(os.path.dirname(credentials_path), exist_ok=True) - credentials = json.loads(os.getenv("GOOGLE_CREDENTIALS")) - with open(os.getenv("GOOGLE_APPLICATION_CREDENTIALS"), "w") as f: + credentials_path.parent.mkdir(parents=True, exist_ok=True) + credentials = json.loads(os.environ["GOOGLE_CREDENTIALS"]) + with open(credentials_path, "w") as f: json.dump(credentials, f, indent=4) class GoogleBatchJobConfig(BaseModel): """Batch job configuration class.""" - # By default, extra fields are just ignored. We raise an error in case of extra fields. - model_config: ConfigDict = {"extra": "forbid"} - job_name: str = Field( description="The name of the job. It needs to be unique amongst exisiting batch job names.", ) @@ -118,14 +113,13 @@ def init( config_path: Path, env_names: Optional[Iterable[str]] = None, ) -> "GoogleBatchJobConfig": - """Initialize the class with the configuration file corresponding to the job type. + """Initialize the class with the configuration file corresponding to the job + type. :param job_name: Name of the job. - :type job_name: str :param config_path: Path to the configuration file. - :type config_path: Path - :param env_variables: List of environment variables to add to the job, defaults to None. - :type env_variables: Optional[Iterable[str]], optional + :param env_variables: List of environment variables to add to the job, defaults + to None. """ # Batch job name should respect a specific pattern, or returns an error pattern = "^[a-z]([a-z0-9-]{0,61}[a-z0-9])?$" @@ -143,7 +137,7 @@ def init( if not env_names: env_variables = {} else: - env_variables = {var_name: os.getenv(var_name) for var_name in env_names} + env_variables = {var_name: os.environ[var_name] for var_name in env_names} # Load config file from job_type with open(config_path, "r") as f: @@ -156,12 +150,10 @@ def launch_job(batch_job_config: GoogleBatchJobConfig) -> batch_v1.Job: Sources: * https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/batch/create - * https://cloud.google.com/python/docs/reference/batch/latest/google.cloud.batch_v1.types + * https://cloud.google.com/python/docs/reference/batch/latest/google.cloud.batch_v1.types # noqa :param google_batch_launch_config: Config to run a job on Google Batch. - :type google_batch_launch_config: GoogleBatchLaunchConfig :param batch_job_config: Config to run a specific job on Google Batch. - :type batch_job_config: BatchJobConfig :return: Batch job information. Returns: @@ -173,7 +165,7 @@ def launch_job(batch_job_config: GoogleBatchJobConfig) -> batch_v1.Job: runnable = batch_v1.Runnable() runnable.container = batch_v1.Runnable.Container() runnable.container.image_uri = batch_job_config.container_image_uri - runnable.container.entrypoint = batch_job_config.entrypoint + runnable.container.entrypoint = batch_job_config.entrypoint # type: ignore runnable.container.commands = batch_job_config.commands # Jobs can be divided into tasks. In this case, we have only one task. @@ -189,18 +181,19 @@ def launch_job(batch_job_config: GoogleBatchJobConfig) -> batch_v1.Job: resources = batch_v1.ComputeResource() resources.cpu_milli = batch_job_config.cpu_milli resources.memory_mib = batch_job_config.memory_mib - resources.boot_disk_mib = batch_job_config.boot_disk_mib + resources.boot_disk_mib = batch_job_config.boot_disk_mib # type: ignore task.compute_resource = resources task.max_retry_count = batch_job_config.max_retry_count - task.max_run_duration = batch_job_config.max_run_duration + task.max_run_duration = batch_job_config.max_run_duration # type: ignore # Tasks are grouped inside a job using TaskGroups. group = batch_v1.TaskGroup() - group.task_count = batch_job_config.task_count + group.task_count = batch_job_config.task_count # type: ignore group.task_spec = task - # Policies are used to define on what kind of virtual machines the tasks will run on. + # Policies are used to define on what kind of virtual machines the tasks will run + # on. policy = batch_v1.AllocationPolicy.InstancePolicy() policy.machine_type = batch_job_config.machine_type instances = batch_v1.AllocationPolicy.InstancePolicyOrTemplate() @@ -218,7 +211,7 @@ def launch_job(batch_job_config: GoogleBatchJobConfig) -> batch_v1.Job: job.allocation_policy = allocation_policy # We use Cloud Logging as it's an out of the box available option job.logs_policy = batch_v1.LogsPolicy() - job.logs_policy.destination = batch_v1.LogsPolicy.Destination.CLOUD_LOGGING + job.logs_policy.destination = batch_v1.LogsPolicy.Destination.CLOUD_LOGGING # type: ignore create_request = batch_v1.CreateJobRequest() create_request.job = job diff --git a/robotoff/cli/main.py b/robotoff/cli/main.py index ef742bb9dc..a411c0031f 100644 --- a/robotoff/cli/main.py +++ b/robotoff/cli/main.py @@ -1015,8 +1015,7 @@ def launch_batch_job( ) get_logger() - job_type = BatchJobType[job_type] - _launch_batch_job(job_type) + _launch_batch_job(BatchJobType[job_type]) def main() -> None: diff --git a/robotoff/insights/importer.py b/robotoff/insights/importer.py index 533f5a5e0b..e04aa3c6ef 100644 --- a/robotoff/insights/importer.py +++ b/robotoff/insights/importer.py @@ -1509,13 +1509,16 @@ def is_conflicting_insight( def _keep_prediction( cls, prediction: Prediction, product: Optional[Product] ) -> bool: - conditions = [ + return ( # Spellcheck didn't correct - prediction.data["original"] != prediction.data["correction"], - # Modification of the original ingredients between two dataset dumps (24-hour period) - product is None or prediction.data["original"] != product.ingredients_text, - ] - return all(conditions) + prediction.data["original"] != prediction.data["correction"] + # Modification of the original ingredients between two dataset dumps + # (24-hour period) + and ( + product is None + or prediction.data["original"] != product.ingredients_text + ) + ) class PackagingElementTaxonomyException(Exception): diff --git a/tests/unit/test_batch.py b/tests/unit/test_batch.py index 89a440fff0..f219906de0 100644 --- a/tests/unit/test_batch.py +++ b/tests/unit/test_batch.py @@ -24,7 +24,8 @@ ], ) def test_batch_job_config_file(inputs): - "Test indirectly the batch job config file by validating with the Pydantic class model." + """Test indirectly the batch job config file by validating with the Pydantic class + model.""" job_name, config_path, env_names = inputs GoogleBatchJobConfig.init( job_name=job_name,