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# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
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#
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"""This module contains a Google Cloud Vision Hook."""
from copy import deepcopy
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
try:
from functools import cached_property
except ImportError:
from cached_property import cached_property
from google.api_core.retry import Retry
from google.cloud.vision_v1 import ImageAnnotatorClient, ProductSearchClient
from google.cloud.vision_v1.types import (
AnnotateImageRequest,
FieldMask,
Image,
Product,
ProductSet,
ReferenceImage,
)
from google.protobuf.json_format import MessageToDict
from airflow.exceptions import AirflowException
from airflow.providers.google.common.hooks.base_google import 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: Optional[str], location: Optional[str], 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
:type entity: any
:param entity_id: Entity id
:type entity_id: str
:param location: Location
:type location: str
:param project_id: The id of Google Cloud Vision project.
:type project_id: str
:return: The same entity or entity with new name
:rtype: str
: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.
"""
[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",
delegate_to: Optional[str] = None,
impersonation_chain: Optional[Union[str, Sequence[str]]] = None,
) -> None:
super().__init__(
gcp_conn_id=gcp_conn_id,
delegate_to=delegate_to,
impersonation_chain=impersonation_chain,
)
self._client = None
[docs] def get_conn(self) -> ProductSearchClient:
"""
Retrieves connection to Cloud Vision.
:return: Google Cloud Vision client object.
:rtype: google.cloud.vision_v1.ProductSearchClient
"""
if not self._client:
self._client = ProductSearchClient(
credentials=self._get_credentials(), client_info=self.client_info
)
return self._client
@cached_property
[docs] def annotator_client(self) -> ImageAnnotatorClient:
"""
Creates ImageAnnotatorClient.
:return: Google Image Annotator client object.
:rtype: google.cloud.vision_v1.ImageAnnotatorClient
"""
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: Union[dict, ProductSet],
project_id: str,
product_set_id: Optional[str] = None,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Optional[Sequence[Tuple[str, str]]] = None,
) -> str:
"""
For the documentation see:
:class:`~airflow.providers.google.cloud.operators.vision.CloudVisionCreateProductSetOperator`
"""
client = self.get_conn()
parent = ProductSearchClient.location_path(project_id, 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,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Optional[Sequence[Tuple[str, str]]] = None,
) -> dict:
"""
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)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def update_product_set(
self,
product_set: Union[dict, ProductSet],
project_id: str,
location: Optional[str] = None,
product_set_id: Optional[str] = None,
update_mask: Union[dict, FieldMask] = None,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Optional[Sequence[Tuple[str, str]]] = None,
) -> dict:
"""
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
)
self.log.info('Updating ProductSet: %s', product_set.name)
response = client.update_product_set(
product_set=product_set, update_mask=update_mask, 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)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def delete_product_set(
self,
location: str,
product_set_id: str,
project_id: str,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Optional[Sequence[Tuple[str, str]]] = None,
) -> None:
"""
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: Union[dict, Product],
project_id: str,
product_id: Optional[str] = None,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Optional[Sequence[Tuple[str, str]]] = None,
):
"""
For the documentation see:
:class:`~airflow.providers.google.cloud.operators.vision.CloudVisionCreateProductOperator`
"""
client = self.get_conn()
parent = ProductSearchClient.location_path(project_id, location)
self.log.info('Creating a new Product under the parent: %s', parent)
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,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Optional[Sequence[Tuple[str, str]]] = None,
):
"""
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)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def update_product(
self,
product: Union[dict, Product],
project_id: str,
location: Optional[str] = None,
product_id: Optional[str] = None,
update_mask: Optional[Dict[str, FieldMask]] = None,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Optional[Sequence[Tuple[str, str]]] = None,
):
"""
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)
self.log.info('Updating ProductSet: %s', product.name)
response = client.update_product(
product=product, update_mask=update_mask, 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)
@GoogleBaseHook.fallback_to_default_project_id
[docs] def delete_product(
self,
location: str,
product_id: str,
project_id: str,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Optional[Sequence[Tuple[str, str]]] = None,
) -> None:
"""
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: Union[dict, ReferenceImage],
project_id: str,
reference_image_id: Optional[str] = None,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Optional[Sequence[Tuple[str, str]]] = None,
) -> str:
"""
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)
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: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Optional[Sequence[Tuple[str, str]]] = None,
) -> dict:
"""
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
)
response = client.delete_reference_image(
name=name,
retry=retry,
timeout=timeout,
metadata=metadata,
)
self.log.info('ReferenceImage with the name [%s] deleted.', name)
return MessageToDict(response)
@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: Optional[str] = None,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Optional[Sequence[Tuple[str, str]]] = None,
) -> None:
"""
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: Optional[str] = None,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Optional[Sequence[Tuple[str, str]]] = None,
) -> None:
"""
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: Union[dict, AnnotateImageRequest],
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
) -> Dict:
"""
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)
@GoogleBaseHook.quota_retry()
[docs] def batch_annotate_images(
self,
requests: Union[List[dict], List[AnnotateImageRequest]],
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
) -> dict:
"""
For the documentation see:
:py:class:`~airflow.providers.google.cloud.operators.vision.CloudVisionImageAnnotateOperator`
"""
client = self.annotator_client
self.log.info('Annotating images')
response = client.batch_annotate_images(requests=requests, retry=retry, timeout=timeout)
self.log.info('Images annotated')
return MessageToDict(response)
@GoogleBaseHook.quota_retry()
[docs] def text_detection(
self,
image: Union[dict, Image],
max_results: Optional[int] = None,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
additional_properties: Optional[Dict] = None,
) -> dict:
"""
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)
self._check_for_error(response)
self.log.info("Text detection finished")
return response
@GoogleBaseHook.quota_retry()
[docs] def document_text_detection(
self,
image: Union[dict, Image],
max_results: Optional[int] = None,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
additional_properties: Optional[dict] = None,
) -> dict:
"""
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)
self._check_for_error(response)
self.log.info("Document text detection finished")
return response
@GoogleBaseHook.quota_retry()
[docs] def label_detection(
self,
image: Union[dict, Image],
max_results: Optional[int] = None,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
additional_properties: Optional[dict] = None,
) -> dict:
"""
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)
self._check_for_error(response)
self.log.info("Labels detection finished")
return response
@GoogleBaseHook.quota_retry()
[docs] def safe_search_detection(
self,
image: Union[dict, Image],
max_results: Optional[int] = None,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
additional_properties: Optional[dict] = None,
) -> dict:
"""
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)
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]