As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

DocumentService

class google.cloud.documentai_v1beta3.services.document_service.DocumentServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.documentai_v1beta3.services.document_service.transports.base.DocumentServiceTransport, typing.Callable[[...], google.cloud.documentai_v1beta3.services.document_service.transports.base.DocumentServiceTransport]]] = '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>)[source]

Service to call Cloud DocumentAI to manage document collection (dataset).

Instantiates the document service async client.

Parameters

  • 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,DocumentServiceTransport,Callable[..., DocumentServiceTransport]]]) – 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 DocumentServiceTransport 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.

property api_endpoint

Return the API endpoint used by the client instance.

Returns

The API endpoint used by the client instance.

Return type

str

async batch_delete_documents(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_service.BatchDeleteDocumentsRequest, dict]] = None, *, dataset: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

Deletes a set of documents.

# 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_v1beta3

async def sample_batch_delete_documents():
    # Create a client
    client = documentai_v1beta3.DocumentServiceAsyncClient()

    # Initialize request argument(s)
    dataset_documents = documentai_v1beta3.BatchDatasetDocuments()
    dataset_documents.individual_document_ids.document_ids.gcs_managed_doc_id.gcs_uri = "gcs_uri_value"

    request = documentai_v1beta3.BatchDeleteDocumentsRequest(
        dataset="dataset_value",
        dataset_documents=dataset_documents,
    )

    # Make the request
    operation = client.batch_delete_documents(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[Union[google.cloud.documentai_v1beta3.types.BatchDeleteDocumentsRequest, dict]]) – The request object.

  • dataset (str) –

    Required. The dataset resource name. Format:

    projects/{project}/locations/{location}/processors/{processor}/dataset

    This corresponds to the dataset 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1beta3.types.BatchDeleteDocumentsResponse Response of the delete documents operation.

Return type

google.api_core.operation_async.AsyncOperation

async cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

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

  • request (CancelOperationRequest) – The request object. Request message for CancelOperation 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

None

static common_billing_account_path(billing_account: str) → str

Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str

Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str

Returns a fully-qualified location string.

static common_organization_path(organization: str) → str

Returns a fully-qualified organization string.

static common_project_path(project: str) → str

Returns a fully-qualified project string.

static dataset_path(project: str, location: str, processor: str) → str

Returns a fully-qualified dataset string.

static dataset_schema_path(project: str, location: str, processor: str) → str

Returns a fully-qualified dataset_schema string.

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

file.

Parameters

  • 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

The constructed client.

Return type

DocumentServiceAsyncClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

info.

Parameters

  • 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

The constructed client.

Return type

DocumentServiceAsyncClient

classmethod from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials

file.

Parameters

  • 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

The constructed client.

Return type

DocumentServiceAsyncClient

async get_dataset_schema(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_service.GetDatasetSchemaRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1beta3.types.dataset.DatasetSchema[source]

Gets the DatasetSchema of a Dataset.

# 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_v1beta3

async def sample_get_dataset_schema():
    # Create a client
    client = documentai_v1beta3.DocumentServiceAsyncClient()

    # Initialize request argument(s)
    request = documentai_v1beta3.GetDatasetSchemaRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_dataset_schema(request=request)

    # Handle the response
    print(response)
Parameters

  • request (Optional[Union[google.cloud.documentai_v1beta3.types.GetDatasetSchemaRequest, dict]]) – The request object. Request for GetDatasetSchema.

  • name (str) –

    Required. The dataset schema resource name. Format:

    projects/{project}/locations/{location}/processors/{processor}/dataset/datasetSchema

    This corresponds to the name 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

Dataset Schema.

Return type

google.cloud.documentai_v1beta3.types.DatasetSchema

async get_document(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_service.GetDocumentRequest, dict]] = None, *, dataset: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1beta3.types.document_service.GetDocumentResponse[source]

Returns relevant fields present in the requested 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_v1beta3

async def sample_get_document():
    # Create a client
    client = documentai_v1beta3.DocumentServiceAsyncClient()

    # Initialize request argument(s)
    document_id = documentai_v1beta3.DocumentId()
    document_id.gcs_managed_doc_id.gcs_uri = "gcs_uri_value"

    request = documentai_v1beta3.GetDocumentRequest(
        dataset="dataset_value",
        document_id=document_id,
    )

    # Make the request
    response = await client.get_document(request=request)

    # Handle the response
    print(response)
Parameters

  • request (Optional[Union[google.cloud.documentai_v1beta3.types.GetDocumentRequest, dict]]) – The request object.

  • dataset (str) –

    Required. The resource name of the dataset that the document belongs to . Format:

    projects/{project}/locations/{location}/processors/{processor}/dataset

    This corresponds to the dataset 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, str]]) – Strings which should be sent along with the request as metadata.

Return type

google.cloud.documentai_v1beta3.types.GetDocumentResponse

async get_location(request: Optional[google.cloud.location.locations_pb2.GetLocationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.Location[source]

Gets information about a location.

Parameters

  • request (GetLocationRequest) – The request object. Request message for GetLocation 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

Location object.

Return type

Location

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]

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.

Parameters

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

returns the API endpoint and the

client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

async get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.Operation[source]

Gets the latest state of a long-running operation.

Parameters

  • request (GetOperationRequest) – The request object. Request message for GetOperation 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

An Operation object.

Return type

Operation

classmethod get_transport_class(label: Optional[str] = None) → Type[google.cloud.documentai_v1beta3.services.document_service.transports.base.DocumentServiceTransport]

Returns an appropriate transport class.

Parameters

label – The name of the desired transport. If none is provided, then the first transport in the registry is used.

Returns

The transport class to use.

async import_documents(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_service.ImportDocumentsRequest, dict]] = None, *, dataset: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

Import documents into a dataset.

# 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_v1beta3

async def sample_import_documents():
    # Create a client
    client = documentai_v1beta3.DocumentServiceAsyncClient()

    # Initialize request argument(s)
    batch_documents_import_configs = documentai_v1beta3.BatchDocumentsImportConfig()
    batch_documents_import_configs.dataset_split = "DATASET_SPLIT_UNASSIGNED"

    request = documentai_v1beta3.ImportDocumentsRequest(
        dataset="dataset_value",
        batch_documents_import_configs=batch_documents_import_configs,
    )

    # Make the request
    operation = client.import_documents(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[Union[google.cloud.documentai_v1beta3.types.ImportDocumentsRequest, dict]]) – The request object.

  • dataset (str) –

    Required. The dataset resource name. Format:

    projects/{project}/locations/{location}/processors/{processor}/dataset

    This corresponds to the dataset 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1beta3.types.ImportDocumentsResponse Response of the import document operation.

Return type

google.api_core.operation_async.AsyncOperation

async list_documents(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_service.ListDocumentsRequest, dict]] = None, *, dataset: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1beta3.services.document_service.pagers.ListDocumentsAsyncPager[source]

Returns a list of documents present in the dataset.

# 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_v1beta3

async def sample_list_documents():
    # Create a client
    client = documentai_v1beta3.DocumentServiceAsyncClient()

    # Initialize request argument(s)
    request = documentai_v1beta3.ListDocumentsRequest(
        dataset="dataset_value",
    )

    # Make the request
    page_result = client.list_documents(request=request)

    # Handle the response
    async for response in page_result:
        print(response)
Parameters

  • request (Optional[Union[google.cloud.documentai_v1beta3.types.ListDocumentsRequest, dict]]) – The request object.

  • dataset (str) –

    Required. The resource name of the dataset to be listed. Format:

    projects/{project}/locations/{location}/processors/{processor}/dataset

    This corresponds to the dataset 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.documentai_v1beta3.services.document_service.pagers.ListDocumentsAsyncPager

async list_locations(request: Optional[google.cloud.location.locations_pb2.ListLocationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.ListLocationsResponse[source]

Lists information about the supported locations for this service.

Parameters

  • request (ListLocationsRequest) – The request object. Request message for ListLocations 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for ListLocations method.

Return type

ListLocationsResponse

async list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.ListOperationsResponse[source]

Lists operations that match the specified filter in the request.

Parameters

  • request (ListOperationsRequest) – The request object. Request message for ListOperations 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for ListOperations method.

Return type

ListOperationsResponse

static parse_common_billing_account_path(path: str) → Dict[str, str]

Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str]

Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str]

Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str]

Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str]

Parse a project path into its component segments.

static parse_dataset_path(path: str) → Dict[str, str]

Parses a dataset path into its component segments.

static parse_dataset_schema_path(path: str) → Dict[str, str]

Parses a dataset_schema path into its component segments.

static parse_schema_path(path: str) → Dict[str, str]

Parses a schema path into its component segments.

static schema_path(project: str, location: str, schema: str) → str

Returns a fully-qualified schema string.

property transport: google.cloud.documentai_v1beta3.services.document_service.transports.base.DocumentServiceTransport

Returns the transport used by the client instance.

Returns

The transport used by the client instance.

Return type

DocumentServiceTransport

property universe_domain: str

Return the universe domain used by the client instance.

Returns

The universe domain used

by the client instance.

Return type

str

async update_dataset(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_service.UpdateDatasetRequest, dict]] = None, *, dataset: Optional[google.cloud.documentai_v1beta3.types.dataset.Dataset] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

Updates metadata associated with a dataset. Note that this method requires the documentai.googleapis.com/datasets.update 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_v1beta3

async def sample_update_dataset():
    # Create a client
    client = documentai_v1beta3.DocumentServiceAsyncClient()

    # Initialize request argument(s)
    dataset = documentai_v1beta3.Dataset()
    dataset.state = "INITIALIZED"

    request = documentai_v1beta3.UpdateDatasetRequest(
        dataset=dataset,
    )

    # Make the request
    operation = client.update_dataset(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[Union[google.cloud.documentai_v1beta3.types.UpdateDatasetRequest, dict]]) – The request object.

  • dataset (google.cloud.documentai_v1beta3.types.Dataset) –

    Required. The name field of the Dataset is used to identify the resource to be updated.

    This corresponds to the dataset field on the request instance; if request is provided, this should not be set.

  • update_mask (google.protobuf.field_mask_pb2.FieldMask) –

    The update mask applies to the resource.

    This corresponds to the update_mask 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1beta3.types.Dataset A singleton resource under a

[Processor][google.cloud.documentai.v1beta3.Processor] which configures a collection of documents.

Return type

google.api_core.operation_async.AsyncOperation

async update_dataset_schema(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_service.UpdateDatasetSchemaRequest, dict]] = None, *, dataset_schema: Optional[google.cloud.documentai_v1beta3.types.dataset.DatasetSchema] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1beta3.types.dataset.DatasetSchema[source]

Updates a DatasetSchema.

# 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_v1beta3

async def sample_update_dataset_schema():
    # Create a client
    client = documentai_v1beta3.DocumentServiceAsyncClient()

    # Initialize request argument(s)
    request = documentai_v1beta3.UpdateDatasetSchemaRequest(
    )

    # Make the request
    response = await client.update_dataset_schema(request=request)

    # Handle the response
    print(response)
Parameters

  • request (Optional[Union[google.cloud.documentai_v1beta3.types.UpdateDatasetSchemaRequest, dict]]) – The request object. Request for UpdateDatasetSchema.

  • dataset_schema (google.cloud.documentai_v1beta3.types.DatasetSchema) –

    Required. The name field of the DatasetSchema is used to identify the resource to be updated.

    This corresponds to the dataset_schema field on the request instance; if request is provided, this should not be set.

  • update_mask (google.protobuf.field_mask_pb2.FieldMask) –

    The update mask applies to the resource.

    This corresponds to the update_mask 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

Dataset Schema.

Return type

google.cloud.documentai_v1beta3.types.DatasetSchema

class google.cloud.documentai_v1beta3.services.document_service.DocumentServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.documentai_v1beta3.services.document_service.transports.base.DocumentServiceTransport, typing.Callable[[...], google.cloud.documentai_v1beta3.services.document_service.transports.base.DocumentServiceTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]

Service to call Cloud DocumentAI to manage document collection (dataset).

Instantiates the document service client.

Parameters

  • 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,DocumentServiceTransport,Callable[..., DocumentServiceTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the DocumentServiceTransport 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 the 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.

__exit__(type, value, traceback)[source]

Releases underlying transport’s resources.

Warning

ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients!

property api_endpoint

Return the API endpoint used by the client instance.

Returns

The API endpoint used by the client instance.

Return type

str

batch_delete_documents(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_service.BatchDeleteDocumentsRequest, dict]] = None, *, dataset: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]

Deletes a set of documents.

# 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_v1beta3

def sample_batch_delete_documents():
    # Create a client
    client = documentai_v1beta3.DocumentServiceClient()

    # Initialize request argument(s)
    dataset_documents = documentai_v1beta3.BatchDatasetDocuments()
    dataset_documents.individual_document_ids.document_ids.gcs_managed_doc_id.gcs_uri = "gcs_uri_value"

    request = documentai_v1beta3.BatchDeleteDocumentsRequest(
        dataset="dataset_value",
        dataset_documents=dataset_documents,
    )

    # Make the request
    operation = client.batch_delete_documents(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters

  • request (Union[google.cloud.documentai_v1beta3.types.BatchDeleteDocumentsRequest, dict]) – The request object.

  • dataset (str) –

    Required. The dataset resource name. Format:

    projects/{project}/locations/{location}/processors/{processor}/dataset

    This corresponds to the dataset field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1beta3.types.BatchDeleteDocumentsResponse Response of the delete documents operation.

Return type

google.api_core.operation.Operation

cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

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

  • request (CancelOperationRequest) – The request object. Request message for CancelOperation method.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

None

static common_billing_account_path(billing_account: str) → str[source]

Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str[source]

Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str[source]

Returns a fully-qualified location string.

static common_organization_path(organization: str) → str[source]

Returns a fully-qualified organization string.

static common_project_path(project: str) → str[source]

Returns a fully-qualified project string.

static dataset_path(project: str, location: str, processor: str) → str[source]

Returns a fully-qualified dataset string.

static dataset_schema_path(project: str, location: str, processor: str) → str[source]

Returns a fully-qualified dataset_schema string.

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

file.

Parameters

  • 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

The constructed client.

Return type

DocumentServiceClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

info.

Parameters

  • 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

The constructed client.

Return type

DocumentServiceClient

classmethod from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials

file.

Parameters

  • 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

The constructed client.

Return type

DocumentServiceClient

get_dataset_schema(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_service.GetDatasetSchemaRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1beta3.types.dataset.DatasetSchema[source]

Gets the DatasetSchema of a Dataset.

# 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_v1beta3

def sample_get_dataset_schema():
    # Create a client
    client = documentai_v1beta3.DocumentServiceClient()

    # Initialize request argument(s)
    request = documentai_v1beta3.GetDatasetSchemaRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_dataset_schema(request=request)

    # Handle the response
    print(response)
Parameters

  • request (Union[google.cloud.documentai_v1beta3.types.GetDatasetSchemaRequest, dict]) – The request object. Request for GetDatasetSchema.

  • name (str) –

    Required. The dataset schema resource name. Format:

    projects/{project}/locations/{location}/processors/{processor}/dataset/datasetSchema

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Dataset Schema.

Return type

google.cloud.documentai_v1beta3.types.DatasetSchema

get_document(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_service.GetDocumentRequest, dict]] = None, *, dataset: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1beta3.types.document_service.GetDocumentResponse[source]

Returns relevant fields present in the requested 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_v1beta3

def sample_get_document():
    # Create a client
    client = documentai_v1beta3.DocumentServiceClient()

    # Initialize request argument(s)
    document_id = documentai_v1beta3.DocumentId()
    document_id.gcs_managed_doc_id.gcs_uri = "gcs_uri_value"

    request = documentai_v1beta3.GetDocumentRequest(
        dataset="dataset_value",
        document_id=document_id,
    )

    # Make the request
    response = client.get_document(request=request)

    # Handle the response
    print(response)
Parameters

  • request (Union[google.cloud.documentai_v1beta3.types.GetDocumentRequest, dict]) – The request object.

  • dataset (str) –

    Required. The resource name of the dataset that the document belongs to . Format:

    projects/{project}/locations/{location}/processors/{processor}/dataset

    This corresponds to the dataset field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Return type

google.cloud.documentai_v1beta3.types.GetDocumentResponse

get_location(request: Optional[google.cloud.location.locations_pb2.GetLocationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.Location[source]

Gets information about a location.

Parameters

  • request (GetLocationRequest) – The request object. Request message for GetLocation method.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Location object.

Return type

Location

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]

Deprecated. 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.

Parameters

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

returns the API endpoint and the

client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.Operation[source]

Gets the latest state of a long-running operation.

Parameters

  • request (GetOperationRequest) – The request object. Request message for GetOperation method.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An Operation object.

Return type

Operation

import_documents(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_service.ImportDocumentsRequest, dict]] = None, *, dataset: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]

Import documents into a dataset.

# 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_v1beta3

def sample_import_documents():
    # Create a client
    client = documentai_v1beta3.DocumentServiceClient()

    # Initialize request argument(s)
    batch_documents_import_configs = documentai_v1beta3.BatchDocumentsImportConfig()
    batch_documents_import_configs.dataset_split = "DATASET_SPLIT_UNASSIGNED"

    request = documentai_v1beta3.ImportDocumentsRequest(
        dataset="dataset_value",
        batch_documents_import_configs=batch_documents_import_configs,
    )

    # Make the request
    operation = client.import_documents(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters

  • request (Union[google.cloud.documentai_v1beta3.types.ImportDocumentsRequest, dict]) – The request object.

  • dataset (str) –

    Required. The dataset resource name. Format:

    projects/{project}/locations/{location}/processors/{processor}/dataset

    This corresponds to the dataset field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1beta3.types.ImportDocumentsResponse Response of the import document operation.

Return type

google.api_core.operation.Operation

list_documents(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_service.ListDocumentsRequest, dict]] = None, *, dataset: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1beta3.services.document_service.pagers.ListDocumentsPager[source]

Returns a list of documents present in the dataset.

# 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_v1beta3

def sample_list_documents():
    # Create a client
    client = documentai_v1beta3.DocumentServiceClient()

    # Initialize request argument(s)
    request = documentai_v1beta3.ListDocumentsRequest(
        dataset="dataset_value",
    )

    # Make the request
    page_result = client.list_documents(request=request)

    # Handle the response
    for response in page_result:
        print(response)
Parameters

  • request (Union[google.cloud.documentai_v1beta3.types.ListDocumentsRequest, dict]) – The request object.

  • dataset (str) –

    Required. The resource name of the dataset to be listed. Format:

    projects/{project}/locations/{location}/processors/{processor}/dataset

    This corresponds to the dataset field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.documentai_v1beta3.services.document_service.pagers.ListDocumentsPager

list_locations(request: Optional[google.cloud.location.locations_pb2.ListLocationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.ListLocationsResponse[source]

Lists information about the supported locations for this service.

Parameters

  • request (ListLocationsRequest) – The request object. Request message for ListLocations method.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for ListLocations method.

Return type

ListLocationsResponse

list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.ListOperationsResponse[source]

Lists operations that match the specified filter in the request.

Parameters

  • request (ListOperationsRequest) – The request object. Request message for ListOperations method.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for ListOperations method.

Return type

ListOperationsResponse

static parse_common_billing_account_path(path: str) → Dict[str, str][source]

Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str][source]

Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str][source]

Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str][source]

Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str][source]

Parse a project path into its component segments.

static parse_dataset_path(path: str) → Dict[str, str][source]

Parses a dataset path into its component segments.

static parse_dataset_schema_path(path: str) → Dict[str, str][source]

Parses a dataset_schema path into its component segments.

static parse_schema_path(path: str) → Dict[str, str][source]

Parses a schema path into its component segments.

static schema_path(project: str, location: str, schema: str) → str[source]

Returns a fully-qualified schema string.

property transport: google.cloud.documentai_v1beta3.services.document_service.transports.base.DocumentServiceTransport

Returns the transport used by the client instance.

Returns

The transport used by the client

instance.

Return type

DocumentServiceTransport

property universe_domain: str

Return the universe domain used by the client instance.

Returns

The universe domain used by the client instance.

Return type

str

update_dataset(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_service.UpdateDatasetRequest, dict]] = None, *, dataset: Optional[google.cloud.documentai_v1beta3.types.dataset.Dataset] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]

Updates metadata associated with a dataset. Note that this method requires the documentai.googleapis.com/datasets.update 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_v1beta3

def sample_update_dataset():
    # Create a client
    client = documentai_v1beta3.DocumentServiceClient()

    # Initialize request argument(s)
    dataset = documentai_v1beta3.Dataset()
    dataset.state = "INITIALIZED"

    request = documentai_v1beta3.UpdateDatasetRequest(
        dataset=dataset,
    )

    # Make the request
    operation = client.update_dataset(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.documentai_v1beta3.types.Dataset A singleton resource under a

[Processor][google.cloud.documentai.v1beta3.Processor] which configures a collection of documents.

Return type

google.api_core.operation.Operation

update_dataset_schema(request: Optional[Union[google.cloud.documentai_v1beta3.types.document_service.UpdateDatasetSchemaRequest, dict]] = None, *, dataset_schema: Optional[google.cloud.documentai_v1beta3.types.dataset.DatasetSchema] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.documentai_v1beta3.types.dataset.DatasetSchema[source]

Updates a DatasetSchema.

# 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_v1beta3

def sample_update_dataset_schema():
    # Create a client
    client = documentai_v1beta3.DocumentServiceClient()

    # Initialize request argument(s)
    request = documentai_v1beta3.UpdateDatasetSchemaRequest(
    )

    # Make the request
    response = client.update_dataset_schema(request=request)

    # Handle the response
    print(response)
Parameters
Returns

Dataset Schema.

Return type

google.cloud.documentai_v1beta3.types.DatasetSchema

class google.cloud.documentai_v1beta3.services.document_service.pagers.ListDocumentsAsyncPager(method: Callable[[...], Awaitable[google.cloud.documentai_v1beta3.types.document_service.ListDocumentsResponse]], request: google.cloud.documentai_v1beta3.types.document_service.ListDocumentsRequest, response: google.cloud.documentai_v1beta3.types.document_service.ListDocumentsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_documents requests.

This class thinly wraps an initial google.cloud.documentai_v1beta3.types.ListDocumentsResponse object, and provides an __aiter__ method to iterate through its document_metadata field.

If there are more pages, the __aiter__ method will make additional ListDocuments requests and continue to iterate through the document_metadata field on the corresponding responses.

All the usual google.cloud.documentai_v1beta3.types.ListDocumentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters
class google.cloud.documentai_v1beta3.services.document_service.pagers.ListDocumentsPager(method: Callable[[...], google.cloud.documentai_v1beta3.types.document_service.ListDocumentsResponse], request: google.cloud.documentai_v1beta3.types.document_service.ListDocumentsRequest, response: google.cloud.documentai_v1beta3.types.document_service.ListDocumentsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_documents requests.

This class thinly wraps an initial google.cloud.documentai_v1beta3.types.ListDocumentsResponse object, and provides an __iter__ method to iterate through its document_metadata field.

If there are more pages, the __iter__ method will make additional ListDocuments requests and continue to iterate through the document_metadata field on the corresponding responses.

All the usual google.cloud.documentai_v1beta3.types.ListDocumentsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters