# -*- coding: utf-8 -*- # Copyright 2025 Google LLC # # Licensed 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. # from collections import OrderedDict import logging as std_logging import re from typing import ( Callable, Dict, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union, ) from google.api_core import exceptions as core_exceptions from google.api_core import gapic_v1 from google.api_core import retry_async as retries from google.api_core.client_options import ClientOptions from google.auth import credentials as ga_credentials # type: ignore from google.oauth2 import service_account # type: ignore import google.protobuf from google.cloud.vision_v1p4beta1 import gapic_version as package_version try: OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None] except AttributeError: # pragma: NO COVER OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore from google.api_core import operation # type: ignore from google.api_core import operation_async # type: ignore from google.cloud.vision_v1p4beta1.types import image_annotator from .client import ImageAnnotatorClient from .transports.base import DEFAULT_CLIENT_INFO, ImageAnnotatorTransport from .transports.grpc_asyncio import ImageAnnotatorGrpcAsyncIOTransport try: from google.api_core import client_logging # type: ignore CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER except ImportError: # pragma: NO COVER CLIENT_LOGGING_SUPPORTED = False _LOGGER = std_logging.getLogger(__name__) class ImageAnnotatorAsyncClient: """Service that performs Google Cloud Vision API detection tasks over client images, such as face, landmark, logo, label, and text detection. The ImageAnnotator service returns detected entities from the images. """ _client: ImageAnnotatorClient # Copy defaults from the synchronous client for use here. # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. DEFAULT_ENDPOINT = ImageAnnotatorClient.DEFAULT_ENDPOINT DEFAULT_MTLS_ENDPOINT = ImageAnnotatorClient.DEFAULT_MTLS_ENDPOINT _DEFAULT_ENDPOINT_TEMPLATE = ImageAnnotatorClient._DEFAULT_ENDPOINT_TEMPLATE _DEFAULT_UNIVERSE = ImageAnnotatorClient._DEFAULT_UNIVERSE product_path = staticmethod(ImageAnnotatorClient.product_path) parse_product_path = staticmethod(ImageAnnotatorClient.parse_product_path) product_set_path = staticmethod(ImageAnnotatorClient.product_set_path) parse_product_set_path = staticmethod(ImageAnnotatorClient.parse_product_set_path) common_billing_account_path = staticmethod( ImageAnnotatorClient.common_billing_account_path ) parse_common_billing_account_path = staticmethod( ImageAnnotatorClient.parse_common_billing_account_path ) common_folder_path = staticmethod(ImageAnnotatorClient.common_folder_path) parse_common_folder_path = staticmethod( ImageAnnotatorClient.parse_common_folder_path ) common_organization_path = staticmethod( ImageAnnotatorClient.common_organization_path ) parse_common_organization_path = staticmethod( ImageAnnotatorClient.parse_common_organization_path ) common_project_path = staticmethod(ImageAnnotatorClient.common_project_path) parse_common_project_path = staticmethod( ImageAnnotatorClient.parse_common_project_path ) common_location_path = staticmethod(ImageAnnotatorClient.common_location_path) parse_common_location_path = staticmethod( ImageAnnotatorClient.parse_common_location_path ) @classmethod def from_service_account_info(cls, info: dict, *args, **kwargs): """Creates an instance of this client using the provided credentials info. Args: info (dict): The service account private key info. args: Additional arguments to pass to the constructor. kwargs: Additional arguments to pass to the constructor. Returns: ImageAnnotatorAsyncClient: The constructed client. """ return ImageAnnotatorClient.from_service_account_info.__func__(ImageAnnotatorAsyncClient, info, *args, **kwargs) # type: ignore @classmethod def from_service_account_file(cls, filename: str, *args, **kwargs): """Creates an instance of this client using the provided credentials file. Args: filename (str): The path to the service account private key json file. args: Additional arguments to pass to the constructor. kwargs: Additional arguments to pass to the constructor. Returns: ImageAnnotatorAsyncClient: The constructed client. """ return ImageAnnotatorClient.from_service_account_file.__func__(ImageAnnotatorAsyncClient, filename, *args, **kwargs) # type: ignore from_service_account_json = from_service_account_file @classmethod def get_mtls_endpoint_and_cert_source( cls, client_options: Optional[ClientOptions] = None ): """Return the API endpoint and client cert source for mutual TLS. The client cert source is determined in the following order: (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the client cert source is None. (2) if `client_options.client_cert_source` is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None. The API endpoint is determined in the following order: (1) if `client_options.api_endpoint` if provided, use the provided one. (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the default mTLS endpoint; if the environment variable is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint. More details can be found at https://google.aip.dev/auth/4114. Args: client_options (google.api_core.client_options.ClientOptions): Custom options for the client. Only the `api_endpoint` and `client_cert_source` properties may be used in this method. Returns: Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the client cert source to use. Raises: google.auth.exceptions.MutualTLSChannelError: If any errors happen. """ return ImageAnnotatorClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore @property def transport(self) -> ImageAnnotatorTransport: """Returns the transport used by the client instance. Returns: ImageAnnotatorTransport: The transport used by the client instance. """ return self._client.transport @property def api_endpoint(self): """Return the API endpoint used by the client instance. Returns: str: The API endpoint used by the client instance. """ return self._client._api_endpoint @property def universe_domain(self) -> str: """Return the universe domain used by the client instance. Returns: str: The universe domain used by the client instance. """ return self._client._universe_domain get_transport_class = ImageAnnotatorClient.get_transport_class def __init__( self, *, credentials: Optional[ga_credentials.Credentials] = None, transport: Optional[ Union[str, ImageAnnotatorTransport, Callable[..., ImageAnnotatorTransport]] ] = "grpc_asyncio", client_options: Optional[ClientOptions] = None, client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, ) -> None: """Instantiates the image annotator async client. Args: credentials (Optional[google.auth.credentials.Credentials]): The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment. transport (Optional[Union[str,ImageAnnotatorTransport,Callable[..., ImageAnnotatorTransport]]]): The transport to use, or a Callable that constructs and returns a new transport to use. If a Callable is given, it will be called with the same set of initialization arguments as used in the ImageAnnotatorTransport constructor. If set to None, a transport is chosen automatically. client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): Custom options for the client. 1. The ``api_endpoint`` property can be used to override the default endpoint provided by the client when ``transport`` is not explicitly provided. Only if this property is not set and ``transport`` was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value). 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the ``client_cert_source`` property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used. 3. The ``universe_domain`` property can be used to override the default "googleapis.com" universe. Note that ``api_endpoint`` property still takes precedence; and ``universe_domain`` is currently not supported for mTLS. client_info (google.api_core.gapic_v1.client_info.ClientInfo): The client info used to send a user-agent string along with API requests. If ``None``, then default info will be used. Generally, you only need to set this if you're developing your own client library. Raises: google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport creation failed for any reason. """ self._client = ImageAnnotatorClient( credentials=credentials, transport=transport, client_options=client_options, client_info=client_info, ) if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( std_logging.DEBUG ): # pragma: NO COVER _LOGGER.debug( "Created client `google.cloud.vision_v1p4beta1.ImageAnnotatorAsyncClient`.", extra={ "serviceName": "google.cloud.vision.v1p4beta1.ImageAnnotator", "universeDomain": getattr( self._client._transport._credentials, "universe_domain", "" ), "credentialsType": f"{type(self._client._transport._credentials).__module__}.{type(self._client._transport._credentials).__qualname__}", "credentialsInfo": getattr( self.transport._credentials, "get_cred_info", lambda: None )(), } if hasattr(self._client._transport, "_credentials") else { "serviceName": "google.cloud.vision.v1p4beta1.ImageAnnotator", "credentialsType": None, }, ) async def batch_annotate_images( self, request: Optional[ Union[image_annotator.BatchAnnotateImagesRequest, dict] ] = None, *, requests: Optional[ MutableSequence[image_annotator.AnnotateImageRequest] ] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), ) -> image_annotator.BatchAnnotateImagesResponse: r"""Run image detection and annotation for a batch of images. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import vision_v1p4beta1 async def sample_batch_annotate_images(): # Create a client client = vision_v1p4beta1.ImageAnnotatorAsyncClient() # Initialize request argument(s) request = vision_v1p4beta1.BatchAnnotateImagesRequest( ) # Make the request response = await client.batch_annotate_images(request=request) # Handle the response print(response) Args: request (Optional[Union[google.cloud.vision_v1p4beta1.types.BatchAnnotateImagesRequest, dict]]): The request object. Multiple image annotation requests are batched into a single service call. requests (:class:`MutableSequence[google.cloud.vision_v1p4beta1.types.AnnotateImageRequest]`): Required. Individual image annotation requests for this batch. This corresponds to the ``requests`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type `str`, but for metadata keys ending with the suffix `-bin`, the corresponding values must be of type `bytes`. Returns: google.cloud.vision_v1p4beta1.types.BatchAnnotateImagesResponse: Response to a batch image annotation request. """ # Create or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. flattened_params = [requests] has_flattened_params = ( len([param for param in flattened_params if param is not None]) > 0 ) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, image_annotator.BatchAnnotateImagesRequest): request = image_annotator.BatchAnnotateImagesRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if requests: request.requests.extend(requests) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._client._transport._wrapped_methods[ self._client._transport.batch_annotate_images ] # Validate the universe domain. self._client._validate_universe_domain() # Send the request. response = await rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response async def batch_annotate_files( self, request: Optional[ Union[image_annotator.BatchAnnotateFilesRequest, dict] ] = None, *, requests: Optional[MutableSequence[image_annotator.AnnotateFileRequest]] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), ) -> image_annotator.BatchAnnotateFilesResponse: r"""Service that performs image detection and annotation for a batch of files. Now only "application/pdf", "image/tiff" and "image/gif" are supported. This service will extract at most 5 (customers can specify which 5 in AnnotateFileRequest.pages) frames (gif) or pages (pdf or tiff) from each file provided and perform detection and annotation for each image extracted. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import vision_v1p4beta1 async def sample_batch_annotate_files(): # Create a client client = vision_v1p4beta1.ImageAnnotatorAsyncClient() # Initialize request argument(s) request = vision_v1p4beta1.BatchAnnotateFilesRequest( ) # Make the request response = await client.batch_annotate_files(request=request) # Handle the response print(response) Args: request (Optional[Union[google.cloud.vision_v1p4beta1.types.BatchAnnotateFilesRequest, dict]]): The request object. A list of requests to annotate files using the BatchAnnotateFiles API. requests (:class:`MutableSequence[google.cloud.vision_v1p4beta1.types.AnnotateFileRequest]`): Required. The list of file annotation requests. Right now we support only one AnnotateFileRequest in BatchAnnotateFilesRequest. This corresponds to the ``requests`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type `str`, but for metadata keys ending with the suffix `-bin`, the corresponding values must be of type `bytes`. Returns: google.cloud.vision_v1p4beta1.types.BatchAnnotateFilesResponse: A list of file annotation responses. """ # Create or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. flattened_params = [requests] has_flattened_params = ( len([param for param in flattened_params if param is not None]) > 0 ) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, image_annotator.BatchAnnotateFilesRequest): request = image_annotator.BatchAnnotateFilesRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if requests: request.requests.extend(requests) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._client._transport._wrapped_methods[ self._client._transport.batch_annotate_files ] # Validate the universe domain. self._client._validate_universe_domain() # Send the request. response = await rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response async def async_batch_annotate_images( self, request: Optional[ Union[image_annotator.AsyncBatchAnnotateImagesRequest, dict] ] = None, *, requests: Optional[ MutableSequence[image_annotator.AnnotateImageRequest] ] = None, output_config: Optional[image_annotator.OutputConfig] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), ) -> operation_async.AsyncOperation: r"""Run asynchronous image detection and annotation for a list of images. Progress and results can be retrieved through the ``google.longrunning.Operations`` interface. ``Operation.metadata`` contains ``OperationMetadata`` (metadata). ``Operation.response`` contains ``AsyncBatchAnnotateImagesResponse`` (results). This service will write image annotation outputs to json files in customer GCS bucket, each json file containing BatchAnnotateImagesResponse proto. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import vision_v1p4beta1 async def sample_async_batch_annotate_images(): # Create a client client = vision_v1p4beta1.ImageAnnotatorAsyncClient() # Initialize request argument(s) request = vision_v1p4beta1.AsyncBatchAnnotateImagesRequest( ) # Make the request operation = client.async_batch_annotate_images(request=request) print("Waiting for operation to complete...") response = (await operation).result() # Handle the response print(response) Args: request (Optional[Union[google.cloud.vision_v1p4beta1.types.AsyncBatchAnnotateImagesRequest, dict]]): The request object. Request for async image annotation for a list of images. requests (:class:`MutableSequence[google.cloud.vision_v1p4beta1.types.AnnotateImageRequest]`): Required. Individual image annotation requests for this batch. This corresponds to the ``requests`` field on the ``request`` instance; if ``request`` is provided, this should not be set. output_config (:class:`google.cloud.vision_v1p4beta1.types.OutputConfig`): Required. The desired output location and metadata (e.g. format). This corresponds to the ``output_config`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type `str`, but for metadata keys ending with the suffix `-bin`, the corresponding values must be of type `bytes`. Returns: google.api_core.operation_async.AsyncOperation: An object representing a long-running operation. The result type for the operation will be :class:`google.cloud.vision_v1p4beta1.types.AsyncBatchAnnotateImagesResponse` Response to an async batch image annotation request. """ # Create or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. flattened_params = [requests, output_config] has_flattened_params = ( len([param for param in flattened_params if param is not None]) > 0 ) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, image_annotator.AsyncBatchAnnotateImagesRequest): request = image_annotator.AsyncBatchAnnotateImagesRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if output_config is not None: request.output_config = output_config if requests: request.requests.extend(requests) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._client._transport._wrapped_methods[ self._client._transport.async_batch_annotate_images ] # Validate the universe domain. self._client._validate_universe_domain() # Send the request. response = await rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Wrap the response in an operation future. response = operation_async.from_gapic( response, self._client._transport.operations_client, image_annotator.AsyncBatchAnnotateImagesResponse, metadata_type=image_annotator.OperationMetadata, ) # Done; return the response. return response async def async_batch_annotate_files( self, request: Optional[ Union[image_annotator.AsyncBatchAnnotateFilesRequest, dict] ] = None, *, requests: Optional[ MutableSequence[image_annotator.AsyncAnnotateFileRequest] ] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), ) -> operation_async.AsyncOperation: r"""Run asynchronous image detection and annotation for a list of generic files, such as PDF files, which may contain multiple pages and multiple images per page. Progress and results can be retrieved through the ``google.longrunning.Operations`` interface. ``Operation.metadata`` contains ``OperationMetadata`` (metadata). ``Operation.response`` contains ``AsyncBatchAnnotateFilesResponse`` (results). .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import vision_v1p4beta1 async def sample_async_batch_annotate_files(): # Create a client client = vision_v1p4beta1.ImageAnnotatorAsyncClient() # Initialize request argument(s) request = vision_v1p4beta1.AsyncBatchAnnotateFilesRequest( ) # Make the request operation = client.async_batch_annotate_files(request=request) print("Waiting for operation to complete...") response = (await operation).result() # Handle the response print(response) Args: request (Optional[Union[google.cloud.vision_v1p4beta1.types.AsyncBatchAnnotateFilesRequest, dict]]): The request object. Multiple async file annotation requests are batched into a single service call. requests (:class:`MutableSequence[google.cloud.vision_v1p4beta1.types.AsyncAnnotateFileRequest]`): Required. Individual async file annotation requests for this batch. This corresponds to the ``requests`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type `str`, but for metadata keys ending with the suffix `-bin`, the corresponding values must be of type `bytes`. Returns: google.api_core.operation_async.AsyncOperation: An object representing a long-running operation. The result type for the operation will be :class:`google.cloud.vision_v1p4beta1.types.AsyncBatchAnnotateFilesResponse` Response to an async batch file annotation request. """ # Create or coerce a protobuf request object. # - Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. flattened_params = [requests] has_flattened_params = ( len([param for param in flattened_params if param is not None]) > 0 ) if request is not None and has_flattened_params: raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, image_annotator.AsyncBatchAnnotateFilesRequest): request = image_annotator.AsyncBatchAnnotateFilesRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if requests: request.requests.extend(requests) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._client._transport._wrapped_methods[ self._client._transport.async_batch_annotate_files ] # Validate the universe domain. self._client._validate_universe_domain() # Send the request. response = await rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Wrap the response in an operation future. response = operation_async.from_gapic( response, self._client._transport.operations_client, image_annotator.AsyncBatchAnnotateFilesResponse, metadata_type=image_annotator.OperationMetadata, ) # Done; return the response. return response async def __aenter__(self) -> "ImageAnnotatorAsyncClient": return self async def __aexit__(self, exc_type, exc, tb): await self.transport.close() DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( gapic_version=package_version.__version__ ) if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"): # pragma: NO COVER DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__ __all__ = ("ImageAnnotatorAsyncClient",)