Source code for airflow.providers.google.cloud.hooks.vision

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"""This module contains a Google Cloud Vision Hook."""
from __future__ import annotations

from copy import deepcopy
from functools import cached_property
from typing import Any, Callable, Sequence

from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
from google.api_core.retry import Retry
from google.cloud.vision_v1 import (
    AnnotateImageRequest,
    Image,
    ImageAnnotatorClient,
    Product,
    ProductSearchClient,
    ProductSet,
    ReferenceImage,
)
from google.protobuf import field_mask_pb2
from google.protobuf.json_format import MessageToDict

from airflow.exceptions import AirflowException
from airflow.providers.google.common.consts import CLIENT_INFO
from airflow.providers.google.common.hooks.base_google import PROVIDE_PROJECT_ID, GoogleBaseHook

[docs]ERR_DIFF_NAMES = """The {label} name provided in the object ({explicit_name}) is different than the name created from the input parameters ({constructed_name}). Please either: 1) Remove the {label} name, 2) Remove the location and {id_label} parameters, 3) Unify the {label} name and input parameters. """
[docs]ERR_UNABLE_TO_CREATE = """Unable to determine the {label} name. Please either set the name directly in the {label} object or provide the `location` and `{id_label}` parameters. """
[docs]class NameDeterminer: """Helper class to determine entity name.""" def __init__(self, label: str, id_label: str, get_path: Callable[[str, str, str], str]) -> None: self.label = label self.id_label = id_label self.get_path = get_path
[docs] def get_entity_with_name( self, entity: Any, entity_id: str | None, location: str | None, project_id: str ) -> Any: """ Check if entity has the `name` attribute set. * If so, no action is taken. * If not, and the name can be constructed from other parameters provided, it is created and filled in the entity. * If both the entity's 'name' attribute is set and the name can be constructed from other parameters provided: * If they are the same - no action is taken * if they are different - an exception is thrown. :param entity: Entity :param entity_id: Entity id :param location: Location :param project_id: The id of Google Cloud Vision project. :return: The same entity or entity with new name :raises: AirflowException """ entity = deepcopy(entity) explicit_name = getattr(entity, "name") if location and entity_id: # Necessary parameters to construct the name are present. Checking for conflict with explicit name constructed_name = self.get_path(project_id, location, entity_id) if not explicit_name: entity.name = constructed_name return entity if explicit_name != constructed_name: raise AirflowException( ERR_DIFF_NAMES.format( label=self.label, explicit_name=explicit_name, constructed_name=constructed_name, id_label=self.id_label, ) ) # Not enough parameters to construct the name. Trying to use the name from Product / ProductSet. if explicit_name: return entity else: raise AirflowException(ERR_UNABLE_TO_CREATE.format(label=self.label, id_label=self.id_label))
[docs]class CloudVisionHook(GoogleBaseHook): """ Hook for Google Cloud Vision APIs. All the methods in the hook where project_id is used must be called with keyword arguments rather than positional. """ _client: ProductSearchClient | None
[docs] product_name_determiner = NameDeterminer("Product", "product_id", ProductSearchClient.product_path)
[docs] product_set_name_determiner = NameDeterminer( "ProductSet", "productset_id", ProductSearchClient.product_set_path )
def __init__( self, gcp_conn_id: str = "google_cloud_default", impersonation_chain: str | Sequence[str] | None = None, **kwargs, ) -> None: if kwargs.get("delegate_to") is not None: raise RuntimeError( "The `delegate_to` parameter has been deprecated before and finally removed in this version" " of Google Provider. You MUST convert it to `impersonate_chain`" ) super().__init__( gcp_conn_id=gcp_conn_id, impersonation_chain=impersonation_chain, ) self._client = None
[docs] def get_conn(self) -> ProductSearchClient: """ Retrieves connection to Cloud Vision. :return: Google Cloud Vision client object. """ if not self._client: self._client = ProductSearchClient(credentials=self.get_credentials(), client_info=CLIENT_INFO) return self._client
@cached_property
[docs] def annotator_client(self) -> ImageAnnotatorClient: """ Creates ImageAnnotatorClient. :return: Google Image Annotator client object. """ return ImageAnnotatorClient(credentials=self.get_credentials())
@staticmethod def _check_for_error(response: dict) -> None: if "error" in response: raise AirflowException(response) @GoogleBaseHook.fallback_to_default_project_id
[docs] def create_product_set( self, location: str, product_set: ProductSet | None, project_id: str = PROVIDE_PROJECT_ID, product_set_id: str | None = None, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> str: """ Create product set. For the documentation see: :class:`~airflow.providers.google.cloud.operators.vision.CloudVisionCreateProductSetOperator`. """ client = self.get_conn() parent = f"projects/{project_id}/locations/{location}" self.log.info("Creating a new ProductSet under the parent: %s", parent) response = client.create_product_set( parent=parent, product_set=product_set, product_set_id=product_set_id, retry=retry, timeout=timeout, metadata=metadata, ) self.log.info("ProductSet created: %s", response.name if response else "") self.log.debug("ProductSet created:\n%s", response) if not product_set_id: # Product set id was generated by the API product_set_id = self._get_autogenerated_id(response) self.log.info("Extracted autogenerated ProductSet ID from the response: %s", product_set_id) return product_set_id
@GoogleBaseHook.fallback_to_default_project_id
[docs] def get_product_set( self, location: str, product_set_id: str, project_id: str = PROVIDE_PROJECT_ID, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> dict: """ Get product set. For the documentation see: :class:`~airflow.providers.google.cloud.operators.vision.CloudVisionGetProductSetOperator`. """ client = self.get_conn() name = ProductSearchClient.product_set_path(project_id, location, product_set_id) self.log.info("Retrieving ProductSet: %s", name) response = client.get_product_set(name=name, retry=retry, timeout=timeout, metadata=metadata) self.log.info("ProductSet retrieved.") self.log.debug("ProductSet retrieved:\n%s", response) return MessageToDict(response._pb)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def update_product_set( self, product_set: dict | ProductSet, project_id: str = PROVIDE_PROJECT_ID, location: str | None = None, product_set_id: str | None = None, update_mask: dict | field_mask_pb2.FieldMask | None = None, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> dict: """ Update product set. For the documentation see: :class:`~airflow.providers.google.cloud.operators.vision.CloudVisionUpdateProductSetOperator`. """ client = self.get_conn() product_set = self.product_set_name_determiner.get_entity_with_name( product_set, product_set_id, location, project_id ) if isinstance(product_set, dict): product_set = ProductSet(product_set) self.log.info("Updating ProductSet: %s", product_set.name) response = client.update_product_set( product_set=product_set, update_mask=update_mask, # type: ignore retry=retry, timeout=timeout, metadata=metadata, ) self.log.info("ProductSet updated: %s", response.name if response else "") self.log.debug("ProductSet updated:\n%s", response) return MessageToDict(response._pb)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def delete_product_set( self, location: str, product_set_id: str, project_id: str = PROVIDE_PROJECT_ID, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> None: """ Delete product set. For the documentation see: :class:`~airflow.providers.google.cloud.operators.vision.CloudVisionDeleteProductSetOperator`. """ client = self.get_conn() name = ProductSearchClient.product_set_path(project_id, location, product_set_id) self.log.info("Deleting ProductSet: %s", name) client.delete_product_set(name=name, retry=retry, timeout=timeout, metadata=metadata) self.log.info("ProductSet with the name [%s] deleted.", name)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def create_product( self, location: str, product: dict | Product, project_id: str = PROVIDE_PROJECT_ID, product_id: str | None = None, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ): """ Create product. For the documentation see: :class:`~airflow.providers.google.cloud.operators.vision.CloudVisionCreateProductOperator`. """ client = self.get_conn() parent = f"projects/{project_id}/locations/{location}" self.log.info("Creating a new Product under the parent: %s", parent) if isinstance(product, dict): product = Product(product) response = client.create_product( parent=parent, product=product, product_id=product_id, retry=retry, timeout=timeout, metadata=metadata, ) self.log.info("Product created: %s", response.name if response else "") self.log.debug("Product created:\n%s", response) if not product_id: # Product id was generated by the API product_id = self._get_autogenerated_id(response) self.log.info("Extracted autogenerated Product ID from the response: %s", product_id) return product_id
@GoogleBaseHook.fallback_to_default_project_id
[docs] def get_product( self, location: str, product_id: str, project_id: str = PROVIDE_PROJECT_ID, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ): """ Get product. For the documentation see: :class:`~airflow.providers.google.cloud.operators.vision.CloudVisionGetProductOperator`. """ client = self.get_conn() name = ProductSearchClient.product_path(project_id, location, product_id) self.log.info("Retrieving Product: %s", name) response = client.get_product(name=name, retry=retry, timeout=timeout, metadata=metadata) self.log.info("Product retrieved.") self.log.debug("Product retrieved:\n%s", response) return MessageToDict(response._pb)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def update_product( self, product: dict | Product, project_id: str = PROVIDE_PROJECT_ID, location: str | None = None, product_id: str | None = None, update_mask: dict | field_mask_pb2.FieldMask | None = None, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ): """ Update product. For the documentation see: :class:`~airflow.providers.google.cloud.operators.vision.CloudVisionUpdateProductOperator`. """ client = self.get_conn() product = self.product_name_determiner.get_entity_with_name(product, product_id, location, project_id) if isinstance(product, dict): product = Product(product) self.log.info("Updating ProductSet: %s", product.name) response = client.update_product( product=product, update_mask=update_mask, # type: ignore retry=retry, timeout=timeout, metadata=metadata, ) self.log.info("Product updated: %s", response.name if response else "") self.log.debug("Product updated:\n%s", response) return MessageToDict(response._pb)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def delete_product( self, location: str, product_id: str, project_id: str = PROVIDE_PROJECT_ID, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> None: """ Delete product. For the documentation see: :class:`~airflow.providers.google.cloud.operators.vision.CloudVisionDeleteProductOperator`. """ client = self.get_conn() name = ProductSearchClient.product_path(project_id, location, product_id) self.log.info("Deleting ProductSet: %s", name) client.delete_product(name=name, retry=retry, timeout=timeout, metadata=metadata) self.log.info("Product with the name [%s] deleted:", name)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def create_reference_image( self, location: str, product_id: str, reference_image: dict | ReferenceImage, project_id: str, reference_image_id: str | None = None, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> str: """ Create reference image. For the documentation see: :py:class:`~airflow.providers.google.cloud.operators.vision.CloudVisionCreateReferenceImageOperator`. """ client = self.get_conn() self.log.info("Creating ReferenceImage") parent = ProductSearchClient.product_path(project=project_id, location=location, product=product_id) if isinstance(reference_image, dict): reference_image = ReferenceImage(reference_image) response = client.create_reference_image( parent=parent, reference_image=reference_image, reference_image_id=reference_image_id, retry=retry, timeout=timeout, metadata=metadata, ) self.log.info("ReferenceImage created: %s", response.name if response else "") self.log.debug("ReferenceImage created:\n%s", response) if not reference_image_id: # Reference image id was generated by the API reference_image_id = self._get_autogenerated_id(response) self.log.info( "Extracted autogenerated ReferenceImage ID from the response: %s", reference_image_id ) return reference_image_id
@GoogleBaseHook.fallback_to_default_project_id
[docs] def delete_reference_image( self, location: str, product_id: str, reference_image_id: str, project_id: str, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> None: """ Delete reference image. For the documentation see: :py:class:`~airflow.providers.google.cloud.operators.vision.CloudVisionDeleteReferenceImageOperator`. """ client = self.get_conn() self.log.info("Deleting ReferenceImage") name = ProductSearchClient.reference_image_path( project=project_id, location=location, product=product_id, reference_image=reference_image_id ) client.delete_reference_image( name=name, retry=retry, timeout=timeout, metadata=metadata, ) self.log.info("ReferenceImage with the name [%s] deleted.", name)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def add_product_to_product_set( self, product_set_id: str, product_id: str, project_id: str, location: str, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> None: """ Add product to product set. For the documentation see: :py:class:`~airflow.providers.google.cloud.operators.vision.CloudVisionAddProductToProductSetOperator`. """ client = self.get_conn() product_name = ProductSearchClient.product_path(project_id, location, product_id) product_set_name = ProductSearchClient.product_set_path(project_id, location, product_set_id) self.log.info("Add Product[name=%s] to Product Set[name=%s]", product_name, product_set_name) client.add_product_to_product_set( name=product_set_name, product=product_name, retry=retry, timeout=timeout, metadata=metadata ) self.log.info("Product added to Product Set")
@GoogleBaseHook.fallback_to_default_project_id
[docs] def remove_product_from_product_set( self, product_set_id: str, product_id: str, project_id: str, location: str, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, metadata: Sequence[tuple[str, str]] = (), ) -> None: """ Remove product from product set. For the documentation see: :py:class:`~airflow.providers.google.cloud.operators.vision.CloudVisionRemoveProductFromProductSetOperator`. """ client = self.get_conn() product_name = ProductSearchClient.product_path(project_id, location, product_id) product_set_name = ProductSearchClient.product_set_path(project_id, location, product_set_id) self.log.info("Remove Product[name=%s] from Product Set[name=%s]", product_name, product_set_name) client.remove_product_from_product_set( name=product_set_name, product=product_name, retry=retry, timeout=timeout, metadata=metadata ) self.log.info("Product removed from Product Set")
[docs] def annotate_image( self, request: dict | AnnotateImageRequest, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, ) -> dict: """ Annotate image. For the documentation see: :py:class:`~airflow.providers.google.cloud.operators.vision.CloudVisionImageAnnotateOperator`. """ client = self.annotator_client self.log.info("Annotating image") response = client.annotate_image(request=request, retry=retry, timeout=timeout) self.log.info("Image annotated") return MessageToDict(response._pb)
@GoogleBaseHook.quota_retry()
[docs] def batch_annotate_images( self, requests: list[dict] | list[AnnotateImageRequest], retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, ) -> dict: """ Batch annotate images. For the documentation see: :py:class:`~airflow.providers.google.cloud.operators.vision.CloudVisionImageAnnotateOperator`. """ client = self.annotator_client self.log.info("Annotating images") requests = list(map(AnnotateImageRequest, requests)) response = client.batch_annotate_images(requests=requests, retry=retry, timeout=timeout) self.log.info("Images annotated") return MessageToDict(response._pb)
@GoogleBaseHook.quota_retry()
[docs] def text_detection( self, image: dict | Image, max_results: int | None = None, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, additional_properties: dict | None = None, ) -> dict: """ Text detection. For the documentation see: :py:class:`~airflow.providers.google.cloud.operators.vision.CloudVisionDetectTextOperator`. """ client = self.annotator_client self.log.info("Detecting text") if additional_properties is None: additional_properties = {} response = client.text_detection( image=image, max_results=max_results, retry=retry, timeout=timeout, **additional_properties ) response = MessageToDict(response._pb) self._check_for_error(response) self.log.info("Text detection finished") return response
@GoogleBaseHook.quota_retry()
[docs] def document_text_detection( self, image: dict | Image, max_results: int | None = None, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, additional_properties: dict | None = None, ) -> dict: """ Document text detection. For the documentation see: :py:class:`~airflow.providers.google.cloud.operators.vision.CloudVisionTextDetectOperator`. """ client = self.annotator_client self.log.info("Detecting document text") if additional_properties is None: additional_properties = {} response = client.document_text_detection( image=image, max_results=max_results, retry=retry, timeout=timeout, **additional_properties ) response = MessageToDict(response._pb) self._check_for_error(response) self.log.info("Document text detection finished") return response
@GoogleBaseHook.quota_retry()
[docs] def label_detection( self, image: dict | Image, max_results: int | None = None, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, additional_properties: dict | None = None, ) -> dict: """ Label detection. For the documentation see: :py:class:`~airflow.providers.google.cloud.operators.vision.CloudVisionDetectImageLabelsOperator`. """ client = self.annotator_client self.log.info("Detecting labels") if additional_properties is None: additional_properties = {} response = client.label_detection( image=image, max_results=max_results, retry=retry, timeout=timeout, **additional_properties ) response = MessageToDict(response._pb) self._check_for_error(response) self.log.info("Labels detection finished") return response
@GoogleBaseHook.quota_retry()
[docs] def safe_search_detection( self, image: dict | Image, max_results: int | None = None, retry: Retry | _MethodDefault = DEFAULT, timeout: float | None = None, additional_properties: dict | None = None, ) -> dict: """ Safe search detection. For the documentation see: :py:class:`~airflow.providers.google.cloud.operators.vision.CloudVisionDetectImageSafeSearchOperator`. """ client = self.annotator_client self.log.info("Detecting safe search") if additional_properties is None: additional_properties = {} response = client.safe_search_detection( image=image, max_results=max_results, retry=retry, timeout=timeout, **additional_properties ) response = MessageToDict(response._pb) self._check_for_error(response) self.log.info("Safe search detection finished") return response
@staticmethod def _get_autogenerated_id(response) -> str: try: name = response.name except AttributeError as e: raise AirflowException(f"Unable to get name from response... [{response}]\n{e}") if "/" not in name: raise AirflowException(f"Unable to get id from name... [{name}]") return name.rsplit("/", 1)[1]

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