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DocumentProcessorServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.documentai_v1.services.document_processor_service.transports.base.DocumentProcessorServiceTransport, typing.Callable[[...], google.cloud.documentai_v1.services.document_processor_service.transports.base.DocumentProcessorServiceTransport]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Service to call Document AI to process documents according to the processor's definition. Processors are built using state-of-the-art Google AI such as natural language, computer vision, and translation to extract structured information from unstructured or semi-structured documents.
Properties
api_endpoint
Return the API endpoint used by the client instance.
Returns | |
---|---|
Type | Description |
str |
The API endpoint used by the client instance. |
transport
Returns the transport used by the client instance.
Returns | |
---|---|
Type | Description |
DocumentProcessorServiceTransport |
The transport used by the client instance. |
universe_domain
Return the universe domain used by the client instance.
Returns | |
---|---|
Type | Description |
str |
The universe domain used by the client instance. |
Methods
DocumentProcessorServiceAsyncClient
DocumentProcessorServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.documentai_v1.services.document_processor_service.transports.base.DocumentProcessorServiceTransport, typing.Callable[[...], google.cloud.documentai_v1.services.document_processor_service.transports.base.DocumentProcessorServiceTransport]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Instantiates the document processor service async client.
Parameters | |
---|---|
Name | Description |
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,DocumentProcessorServiceTransport,Callable[..., DocumentProcessorServiceTransport]]]
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 DocumentProcessorServiceTransport 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 |
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 |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTlsChannelError |
If mutual TLS transport creation failed for any reason. |
batch_process_documents
batch_process_documents(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.BatchProcessRequest,
dict,
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperation
LRO endpoint to batch process many documents. The output is written to Cloud Storage as JSON in the [Document] format.
# 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 documentai_v1
async def sample_batch_process_documents():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.BatchProcessRequest(
name="name_value",
)
# Make the request
operation = client.batch_process_documents(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.BatchProcessRequest, dict]]
The request object. Request message for BatchProcessDocuments. |
name |
Required. The resource name of Processor or ProcessorVersion. Format: |
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 |
Returns | |
---|---|
Type | Description |
google.api_core.operation_async.AsyncOperation |
An object representing a long-running operation. The result type for the operation will be BatchProcessResponse Response message for BatchProcessDocuments. |
cancel_operation
cancel_operation(
request: typing.Optional[
google.longrunning.operations_pb2.CancelOperationRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> None
Starts asynchronous cancellation on a long-running operation.
The server makes a best effort to cancel the operation, but success
is not guaranteed. If the server doesn't support this method, it returns
google.rpc.Code.UNIMPLEMENTED
.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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 |
common_billing_account_path
common_billing_account_path(billing_account: str) -> str
Returns a fully-qualified billing_account string.
common_folder_path
common_folder_path(folder: str) -> str
Returns a fully-qualified folder string.
common_location_path
common_location_path(project: str, location: str) -> str
Returns a fully-qualified location string.
common_organization_path
common_organization_path(organization: str) -> str
Returns a fully-qualified organization string.
common_project_path
common_project_path(project: str) -> str
Returns a fully-qualified project string.
create_processor
create_processor(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.CreateProcessorRequest,
dict,
]
] = None,
*,
parent: typing.Optional[str] = None,
processor: typing.Optional[
google.cloud.documentai_v1.types.processor.Processor
] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.documentai_v1.types.processor.Processor
Creates a processor from the
xref_ProcessorType
provided. The processor will be at ENABLED
state by default
after its creation. Note that this method requires the
documentai.processors.create
permission on the project,
which is highly privileged. A user or service account with this
permission can create new processors that can interact with any
gcs bucket in your project.
# 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 documentai_v1
async def sample_create_processor():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.CreateProcessorRequest(
parent="parent_value",
)
# Make the request
response = await client.create_processor(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.CreateProcessorRequest, dict]]
The request object. Request message for the CreateProcessor method. Notice this request is sent to a regionalized backend service. If the ProcessorType isn't available in that region, the creation fails. |
parent |
Required. The parent (project and location) under which to create the processor. Format: |
processor |
Processor
Required. The processor to be created, requires Processor.type and Processor.display_name to be set. Also, the Processor.kms_key_name field must be set if the processor is under CMEK. This corresponds to the |
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 |
Returns | |
---|---|
Type | Description |
google.cloud.documentai_v1.types.Processor |
The first-class citizen for Document AI. Each processor defines how to extract structural information from a document. |
delete_processor
delete_processor(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.DeleteProcessorRequest,
dict,
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperation
Deletes the processor, unloads all deployed model artifacts if it was enabled and then deletes all artifacts associated with this processor.
# 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 documentai_v1
async def sample_delete_processor():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.DeleteProcessorRequest(
name="name_value",
)
# Make the request
operation = client.delete_processor(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.DeleteProcessorRequest, dict]]
The request object. Request message for the DeleteProcessor method. |
name |
Required. The processor resource name to be deleted. This corresponds to the |
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 |
Returns | |
---|---|
Type | Description |
google.api_core.operation_async.AsyncOperation |
An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } |
delete_processor_version
delete_processor_version(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.DeleteProcessorVersionRequest,
dict,
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperation
Deletes the processor version, all artifacts under the processor version will be deleted.
# 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 documentai_v1
async def sample_delete_processor_version():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.DeleteProcessorVersionRequest(
name="name_value",
)
# Make the request
operation = client.delete_processor_version(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.DeleteProcessorVersionRequest, dict]]
The request object. Request message for the DeleteProcessorVersion method. |
name |
Required. The processor version resource name to be deleted. This corresponds to the |
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 |
Returns | |
---|---|
Type | Description |
google.api_core.operation_async.AsyncOperation |
An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } |
deploy_processor_version
deploy_processor_version(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.DeployProcessorVersionRequest,
dict,
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperation
Deploys the processor version.
# 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 documentai_v1
async def sample_deploy_processor_version():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.DeployProcessorVersionRequest(
name="name_value",
)
# Make the request
operation = client.deploy_processor_version(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.DeployProcessorVersionRequest, dict]]
The request object. Request message for the DeployProcessorVersion method. |
name |
Required. The processor version resource name to be deployed. This corresponds to the |
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 |
Returns | |
---|---|
Type | Description |
google.api_core.operation_async.AsyncOperation |
An object representing a long-running operation. The result type for the operation will be DeployProcessorVersionResponse Response message for the DeployProcessorVersion method. |
disable_processor
disable_processor(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.DisableProcessorRequest,
dict,
]
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperation
Disables a processor
# 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 documentai_v1
async def sample_disable_processor():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.DisableProcessorRequest(
name="name_value",
)
# Make the request
operation = client.disable_processor(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.DisableProcessorRequest, dict]]
The request object. Request message for the DisableProcessor method. |
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 |
Returns | |
---|---|
Type | Description |
google.api_core.operation_async.AsyncOperation |
An object representing a long-running operation. The result type for the operation will be DisableProcessorResponse Response message for the DisableProcessor method. Intentionally empty proto for adding fields in future. |
enable_processor
enable_processor(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.EnableProcessorRequest,
dict,
]
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperation
Enables a processor
# 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 documentai_v1
async def sample_enable_processor():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.EnableProcessorRequest(
name="name_value",
)
# Make the request
operation = client.enable_processor(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.EnableProcessorRequest, dict]]
The request object. Request message for the EnableProcessor method. |
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 |
Returns | |
---|---|
Type | Description |
google.api_core.operation_async.AsyncOperation |
An object representing a long-running operation. The result type for the operation will be EnableProcessorResponse Response message for the EnableProcessor method. Intentionally empty proto for adding fields in future. |
evaluate_processor_version
evaluate_processor_version(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.EvaluateProcessorVersionRequest,
dict,
]
] = None,
*,
processor_version: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperation
Evaluates a ProcessorVersion against annotated documents, producing an Evaluation.
# 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 documentai_v1
async def sample_evaluate_processor_version():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.EvaluateProcessorVersionRequest(
processor_version="processor_version_value",
)
# Make the request
operation = client.evaluate_processor_version(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.EvaluateProcessorVersionRequest, dict]]
The request object. Evaluates the given ProcessorVersion against the supplied documents. |
processor_version |
Required. The resource name of the ProcessorVersion to evaluate. |
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 |
Returns | |
---|---|
Type | Description |
google.api_core.operation_async.AsyncOperation |
An object representing a long-running operation. The result type for the operation will be EvaluateProcessorVersionResponse Response of the EvaluateProcessorVersion method. |
evaluation_path
evaluation_path(
project: str, location: str, processor: str, processor_version: str, evaluation: str
) -> str
Returns a fully-qualified evaluation string.
fetch_processor_types
fetch_processor_types(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.FetchProcessorTypesRequest,
dict,
]
] = None,
*,
parent: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
google.cloud.documentai_v1.types.document_processor_service.FetchProcessorTypesResponse
)
Fetches processor types. Note that we don't use xref_ListProcessorTypes here, because it isn't paginated.
# 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 documentai_v1
async def sample_fetch_processor_types():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.FetchProcessorTypesRequest(
parent="parent_value",
)
# Make the request
response = await client.fetch_processor_types(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.FetchProcessorTypesRequest, dict]]
The request object. Request message for the FetchProcessorTypes method. Some processor types may require the project be added to an allowlist. |
parent |
Required. The location of processor types to list. Format: |
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 |
Returns | |
---|---|
Type | Description |
google.cloud.documentai_v1.types.FetchProcessorTypesResponse |
Response message for the FetchProcessorTypes method. |
from_service_account_file
from_service_account_file(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Parameter | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
DocumentProcessorServiceAsyncClient |
The constructed client. |
from_service_account_info
from_service_account_info(info: dict, *args, **kwargs)
Creates an instance of this client using the provided credentials info.
Parameter | |
---|---|
Name | Description |
info |
dict
The service account private key info. |
Returns | |
---|---|
Type | Description |
DocumentProcessorServiceAsyncClient |
The constructed client. |
from_service_account_json
from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Parameter | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
DocumentProcessorServiceAsyncClient |
The constructed client. |
get_evaluation
get_evaluation(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.GetEvaluationRequest,
dict,
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.documentai_v1.types.evaluation.Evaluation
Retrieves a specific evaluation.
# 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 documentai_v1
async def sample_get_evaluation():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.GetEvaluationRequest(
name="name_value",
)
# Make the request
response = await client.get_evaluation(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.GetEvaluationRequest, dict]]
The request object. Retrieves a specific Evaluation. |
name |
Required. The resource name of the Evaluation to get. |
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 |
Returns | |
---|---|
Type | Description |
google.cloud.documentai_v1.types.Evaluation |
An evaluation of a ProcessorVersion's performance. |
get_location
get_location(
request: typing.Optional[
google.cloud.location.locations_pb2.GetLocationRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.location.locations_pb2.Location
Gets information about a location.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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 |
Returns | |
---|---|
Type | Description |
|
Location object. |
get_mtls_endpoint_and_cert_source
get_mtls_endpoint_and_cert_source(
client_options: typing.Optional[
google.api_core.client_options.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.
Parameter | |
---|---|
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTLSChannelError |
If any errors happen. |
Returns | |
---|---|
Type | Description |
Tuple[str, Callable[[], Tuple[bytes, bytes]]] |
returns the API endpoint and the client cert source to use. |
get_operation
get_operation(
request: typing.Optional[
google.longrunning.operations_pb2.GetOperationRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.longrunning.operations_pb2.Operation
Gets the latest state of a long-running operation.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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 |
Returns | |
---|---|
Type | Description |
|
An Operation object. |
get_processor
get_processor(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.GetProcessorRequest,
dict,
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.documentai_v1.types.processor.Processor
Gets a processor detail.
# 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 documentai_v1
async def sample_get_processor():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.GetProcessorRequest(
name="name_value",
)
# Make the request
response = await client.get_processor(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.GetProcessorRequest, dict]]
The request object. Request message for the GetProcessor method. |
name |
Required. The processor resource name. This corresponds to the |
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 |
Returns | |
---|---|
Type | Description |
google.cloud.documentai_v1.types.Processor |
The first-class citizen for Document AI. Each processor defines how to extract structural information from a document. |
get_processor_type
get_processor_type(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.GetProcessorTypeRequest,
dict,
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.documentai_v1.types.processor_type.ProcessorType
Gets a processor type detail.
# 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 documentai_v1
async def sample_get_processor_type():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.GetProcessorTypeRequest(
name="name_value",
)
# Make the request
response = await client.get_processor_type(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.GetProcessorTypeRequest, dict]]
The request object. Request message for the GetProcessorType method. |
name |
Required. The processor type resource name. This corresponds to the |
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 |
Returns | |
---|---|
Type | Description |
google.cloud.documentai_v1.types.ProcessorType |
A processor type is responsible for performing a certain document understanding task on a certain type of document. |
get_processor_version
get_processor_version(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.GetProcessorVersionRequest,
dict,
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.documentai_v1.types.processor.ProcessorVersion
Gets a processor version detail.
# 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 documentai_v1
async def sample_get_processor_version():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.GetProcessorVersionRequest(
name="name_value",
)
# Make the request
response = await client.get_processor_version(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.GetProcessorVersionRequest, dict]]
The request object. Request message for the GetProcessorVersion method. |
name |
Required. The processor resource name. This corresponds to the |
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 |
Returns | |
---|---|
Type | Description |
google.cloud.documentai_v1.types.ProcessorVersion |
A processor version is an implementation of a processor. Each processor can have multiple versions, pretrained by Google internally or uptrained by the customer. A processor can only have one default version at a time. Its document-processing behavior is defined by that version. |
get_transport_class
get_transport_class(
label: typing.Optional[str] = None,
) -> typing.Type[
google.cloud.documentai_v1.services.document_processor_service.transports.base.DocumentProcessorServiceTransport
]
Returns an appropriate transport class.
Parameter | |
---|---|
Name | Description |
label |
typing.Optional[str]
The name of the desired transport. If none is provided, then the first transport in the registry is used. |
human_review_config_path
human_review_config_path(project: str, location: str, processor: str) -> str
Returns a fully-qualified human_review_config string.
list_evaluations
list_evaluations(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.ListEvaluationsRequest,
dict,
]
] = None,
*,
parent: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
google.cloud.documentai_v1.services.document_processor_service.pagers.ListEvaluationsAsyncPager
)
Retrieves a set of evaluations for a given processor version.
# 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 documentai_v1
async def sample_list_evaluations():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.ListEvaluationsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_evaluations(request=request)
# Handle the response
async for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.ListEvaluationsRequest, dict]]
The request object. Retrieves a list of evaluations for a given ProcessorVersion. |
parent |
Required. The resource name of the ProcessorVersion to list evaluations for. |
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 |
Returns | |
---|---|
Type | Description |
google.cloud.documentai_v1.services.document_processor_service.pagers.ListEvaluationsAsyncPager |
The response from ListEvaluations. Iterating over this object will yield results and resolve additional pages automatically. |
list_locations
list_locations(
request: typing.Optional[
google.cloud.location.locations_pb2.ListLocationsRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse
Lists information about the supported locations for this service.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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 |
Returns | |
---|---|
Type | Description |
|
Response message for ListLocations method. |
list_operations
list_operations(
request: typing.Optional[
google.longrunning.operations_pb2.ListOperationsRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse
Lists operations that match the specified filter in the request.
Parameters | |
---|---|
Name | Description |
request |
The request object. Request message for |
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 |
Returns | |
---|---|
Type | Description |
|
Response message for ListOperations method. |
list_processor_types
list_processor_types(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.ListProcessorTypesRequest,
dict,
]
] = None,
*,
parent: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorTypesAsyncPager
)
Lists the processor types that exist.
# 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 documentai_v1
async def sample_list_processor_types():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.ListProcessorTypesRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_processor_types(request=request)
# Handle the response
async for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.ListProcessorTypesRequest, dict]]
The request object. Request message for the ListProcessorTypes method. Some processor types may require the project be added to an allowlist. |
parent |
Required. The location of processor types to list. Format: |
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 |
Returns | |
---|---|
Type | Description |
google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorTypesAsyncPager |
Response message for the ListProcessorTypes method. Iterating over this object will yield results and resolve additional pages automatically. |
list_processor_versions
list_processor_versions(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.ListProcessorVersionsRequest,
dict,
]
] = None,
*,
parent: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorVersionsAsyncPager
)
Lists all versions of a processor.
# 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 documentai_v1
async def sample_list_processor_versions():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.ListProcessorVersionsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_processor_versions(request=request)
# Handle the response
async for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.ListProcessorVersionsRequest, dict]]
The request object. Request message for list all processor versions belongs to a processor. |
parent |
Required. The parent (project, location and processor) to list all versions. Format: |
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 |
Returns | |
---|---|
Type | Description |
google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorVersionsAsyncPager |
Response message for the ListProcessorVersions method. Iterating over this object will yield results and resolve additional pages automatically. |
list_processors
list_processors(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.ListProcessorsRequest,
dict,
]
] = None,
*,
parent: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorsAsyncPager
)
Lists all processors which belong to this project.
# 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 documentai_v1
async def sample_list_processors():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.ListProcessorsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_processors(request=request)
# Handle the response
async for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.ListProcessorsRequest, dict]]
The request object. Request message for list all processors belongs to a project. |
parent |
Required. The parent (project and location) which owns this collection of Processors. Format: |
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 |
Returns | |
---|---|
Type | Description |
google.cloud.documentai_v1.services.document_processor_service.pagers.ListProcessorsAsyncPager |
Response message for the ListProcessors method. Iterating over this object will yield results and resolve additional pages automatically. |
parse_common_billing_account_path
parse_common_billing_account_path(path: str) -> typing.Dict[str, str]
Parse a billing_account path into its component segments.
parse_common_folder_path
parse_common_folder_path(path: str) -> typing.Dict[str, str]
Parse a folder path into its component segments.
parse_common_location_path
parse_common_location_path(path: str) -> typing.Dict[str, str]
Parse a location path into its component segments.
parse_common_organization_path
parse_common_organization_path(path: str) -> typing.Dict[str, str]
Parse a organization path into its component segments.
parse_common_project_path
parse_common_project_path(path: str) -> typing.Dict[str, str]
Parse a project path into its component segments.
parse_evaluation_path
parse_evaluation_path(path: str) -> typing.Dict[str, str]
Parses a evaluation path into its component segments.
parse_human_review_config_path
parse_human_review_config_path(path: str) -> typing.Dict[str, str]
Parses a human_review_config path into its component segments.
parse_processor_path
parse_processor_path(path: str) -> typing.Dict[str, str]
Parses a processor path into its component segments.
parse_processor_type_path
parse_processor_type_path(path: str) -> typing.Dict[str, str]
Parses a processor_type path into its component segments.
parse_processor_version_path
parse_processor_version_path(path: str) -> typing.Dict[str, str]
Parses a processor_version path into its component segments.
process_document
process_document(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.ProcessRequest,
dict,
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.documentai_v1.types.document_processor_service.ProcessResponse
Processes a single document.
# 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 documentai_v1
async def sample_process_document():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
inline_document = documentai_v1.Document()
inline_document.uri = "uri_value"
request = documentai_v1.ProcessRequest(
inline_document=inline_document,
name="name_value",
)
# Make the request
response = await client.process_document(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.ProcessRequest, dict]]
The request object. Request message for the ProcessDocument method. |
name |
Required. The resource name of the Processor or ProcessorVersion to use for processing. If a Processor is specified, the server will use its [default version][google.cloud.documentai.v1.Processor.default_processor_version]. Format: |
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 |
Returns | |
---|---|
Type | Description |
google.cloud.documentai_v1.types.ProcessResponse |
Response message for the ProcessDocument method. |
processor_path
processor_path(project: str, location: str, processor: str) -> str
Returns a fully-qualified processor string.
processor_type_path
processor_type_path(project: str, location: str, processor_type: str) -> str
Returns a fully-qualified processor_type string.
processor_version_path
processor_version_path(
project: str, location: str, processor: str, processor_version: str
) -> str
Returns a fully-qualified processor_version string.
review_document
review_document(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.ReviewDocumentRequest,
dict,
]
] = None,
*,
human_review_config: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperation
Send a document for Human Review. The input document should be processed by the specified processor.
# 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 documentai_v1
async def sample_review_document():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
inline_document = documentai_v1.Document()
inline_document.uri = "uri_value"
request = documentai_v1.ReviewDocumentRequest(
inline_document=inline_document,
human_review_config="human_review_config_value",
)
# Make the request
operation = client.review_document(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.ReviewDocumentRequest, dict]]
The request object. Request message for the ReviewDocument method. |
human_review_config |
Required. The resource name of the HumanReviewConfig that the document will be reviewed with. This corresponds to the |
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 |
Returns | |
---|---|
Type | Description |
google.api_core.operation_async.AsyncOperation |
An object representing a long-running operation. The result type for the operation will be ReviewDocumentResponse Response message for the ReviewDocument method. |
set_default_processor_version
set_default_processor_version(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.SetDefaultProcessorVersionRequest,
dict,
]
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperation
Set the default (active) version of a xref_Processor that will be used in xref_ProcessDocument and xref_BatchProcessDocuments.
# 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 documentai_v1
async def sample_set_default_processor_version():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.SetDefaultProcessorVersionRequest(
processor="processor_value",
default_processor_version="default_processor_version_value",
)
# Make the request
operation = client.set_default_processor_version(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.SetDefaultProcessorVersionRequest, dict]]
The request object. Request message for the SetDefaultProcessorVersion method. |
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 |
Returns | |
---|---|
Type | Description |
google.api_core.operation_async.AsyncOperation |
An object representing a long-running operation. The result type for the operation will be SetDefaultProcessorVersionResponse Response message for the SetDefaultProcessorVersion method. |
train_processor_version
train_processor_version(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.TrainProcessorVersionRequest,
dict,
]
] = None,
*,
parent: typing.Optional[str] = None,
processor_version: typing.Optional[
google.cloud.documentai_v1.types.processor.ProcessorVersion
] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperation
Trains a new processor version. Operation metadata is returned as xref_TrainProcessorVersionMetadata.
# 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 documentai_v1
async def sample_train_processor_version():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.TrainProcessorVersionRequest(
parent="parent_value",
)
# Make the request
operation = client.train_processor_version(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.TrainProcessorVersionRequest, dict]]
The request object. Request message for the TrainProcessorVersion method. |
parent |
Required. The parent (project, location and processor) to create the new version for. Format: |
processor_version |
ProcessorVersion
Required. The processor version to be created. This corresponds to the |
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 |
Returns | |
---|---|
Type | Description |
google.api_core.operation_async.AsyncOperation |
An object representing a long-running operation. The result type for the operation will be TrainProcessorVersionResponse The response for TrainProcessorVersion. |
undeploy_processor_version
undeploy_processor_version(
request: typing.Optional[
typing.Union[
google.cloud.documentai_v1.types.document_processor_service.UndeployProcessorVersionRequest,
dict,
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperation
Undeploys the processor version.
# 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 documentai_v1
async def sample_undeploy_processor_version():
# Create a client
client = documentai_v1.DocumentProcessorServiceAsyncClient()
# Initialize request argument(s)
request = documentai_v1.UndeployProcessorVersionRequest(
name="name_value",
)
# Make the request
operation = client.undeploy_processor_version(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Optional[Union[google.cloud.documentai_v1.types.UndeployProcessorVersionRequest, dict]]
The request object. Request message for the UndeployProcessorVersion method. |
name |
Required. The processor version resource name to be undeployed. This corresponds to the |
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 |
Returns | |
---|---|
Type | Description |
google.api_core.operation_async.AsyncOperation |
An object representing a long-running operation. The result type for the operation will be UndeployProcessorVersionResponse Response message for the UndeployProcessorVersion method. |