#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
"""This module contains a Google Cloud Vision Hook."""
from __future__ import annotations
from copy import deepcopy
from functools import cached_property
from typing import TYPE_CHECKING, Any, Callable, Sequence
from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
from google.cloud.vision_v1 import (
AnnotateImageRequest,
Image,
ImageAnnotatorClient,
Product,
ProductSearchClient,
ProductSet,
ReferenceImage,
)
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
if TYPE_CHECKING:
from google.api_core.retry import Retry
from google.protobuf import field_mask_pb2
[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:
"""
Retrieve a 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]