Class DocumentsAsyncClient (2.14.0)

DocumentsAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.dialogflow_v2.services.documents.transports.base.DocumentsTransport] = 'grpc_asyncio', client_options: 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 for managing knowledge Documents.

Inheritance

builtins.object > DocumentsAsyncClient

Properties

transport

Returns the transport used by the client instance.

Returns

Type	Description
DocumentsTransport	The transport used by the client instance.

Methods

DocumentsAsyncClient

DocumentsAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.dialogflow_v2.services.documents.transports.base.DocumentsTransport] = 'grpc_asyncio', client_options: 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 documents 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	Union[str, `.DocumentsTransport`] The transport to use. If set to None, a transport is chosen automatically.
client_options	`ClientOptions` Custom options for the client. It won't take effect if a `transport` instance is provided. (1) The `api_endpoint` property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "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). However, the `api_endpoint` property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the `client_cert_source` property can be used to provide client certificate for mutual TLS 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.

Exceptions

Type	Description
google.auth.exceptions.MutualTlsChannelError	If mutual TLS transport creation failed for any reason.

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

create_document

create_document(request: Optional[Union[google.cloud.dialogflow_v2.types.document.CreateDocumentRequest, dict]] = None, *, parent: Optional[str] = None, document: Optional[google.cloud.dialogflow_v2.types.document.Document] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates a new document.

This method is a long-running operation <https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation>__. The returned Operation type has the following method-specific fields:

metadata: xref_KnowledgeOperationMetadata
response: xref_Document

from google.cloud import dialogflow_v2

async def sample_create_document():
    # Create a client
    client = dialogflow_v2.DocumentsAsyncClient()

    # Initialize request argument(s)
    document = dialogflow_v2.Document()
    document.content_uri = "content_uri_value"
    document.display_name = "display_name_value"
    document.mime_type = "mime_type_value"
    document.knowledge_types = "AGENT_FACING_SMART_REPLY"

    request = dialogflow_v2.CreateDocumentRequest(
        parent="parent_value",
        document=document,
    )

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

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

    response = await operation.result()

    # Handle the response
    print(response)

Parameters

Name	Description
request	`Union[google.cloud.dialogflow_v2.types.CreateDocumentRequest, dict]` The request object. Request message for Documents.CreateDocument.
parent	`str` Required. The knowledge base to create a document for. Format: `projects/<Project ID>/locations/<Location ID>/knowledgeBases/<Knowledge Base ID>`. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
document	`Document` Required. The document to create. This corresponds to the `document` 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

Type	Description
google.api_core.operation_async.AsyncOperation	An object representing a long-running operation. The result type for the operation will be Document A knowledge document to be used by a KnowledgeBase. For more information, see the [knowledge base guide](\ https://cloud.google.com/dialogflow/docs/how/knowledge-bases). Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.

delete_document

delete_document(request: Optional[Union[google.cloud.dialogflow_v2.types.document.DeleteDocumentRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes the specified document.

This method is a long-running operation <https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation>__. The returned Operation type has the following method-specific fields:

metadata: xref_KnowledgeOperationMetadata
response: An Empty message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty>__

from google.cloud import dialogflow_v2

async def sample_delete_document():
    # Create a client
    client = dialogflow_v2.DocumentsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.DeleteDocumentRequest(
        name="name_value",
    )

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

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

    response = await operation.result()

    # Handle the response
    print(response)

Parameters

Name	Description
request	`Union[google.cloud.dialogflow_v2.types.DeleteDocumentRequest, dict]` The request object. Request message for Documents.DeleteDocument.
name	`str` Required. The name of the document to delete. Format: `projects/<Project ID>/locations/<Location ID>/knowledgeBases/<Knowledge Base ID>/documents/<Document ID>`. 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

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); } The JSON representation for Empty is empty JSON object {}.

document_path

document_path(project: str, knowledge_base: str, document: str)

Returns a fully-qualified document string.

export_document

export_document(request: Optional[Union[google.cloud.dialogflow_v2.types.document.ExportDocumentRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Exports a smart messaging candidate document into the specified destination.

This method is a long-running operation <https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation>__. The returned Operation type has the following method-specific fields:

metadata: xref_KnowledgeOperationMetadata
response: xref_Document

from google.cloud import dialogflow_v2

async def sample_export_document():
    # Create a client
    client = dialogflow_v2.DocumentsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.ExportDocumentRequest(
        name="name_value",
    )

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

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

    response = await operation.result()

    # Handle the response
    print(response)

Parameters

Name	Description
request	`Union[google.cloud.dialogflow_v2.types.ExportDocumentRequest, dict]` The request object. Request message for Documents.ExportDocument.
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

Type	Description
google.api_core.operation_async.AsyncOperation	An object representing a long-running operation. The result type for the operation will be Document A knowledge document to be used by a KnowledgeBase. For more information, see the [knowledge base guide](\ https://cloud.google.com/dialogflow/docs/how/knowledge-bases). Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.

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
DocumentsAsyncClient	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
DocumentsAsyncClient	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
DocumentsAsyncClient	The constructed client.

get_document

get_document(request: Optional[Union[google.cloud.dialogflow_v2.types.document.GetDocumentRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Retrieves the specified document.

from google.cloud import dialogflow_v2

async def sample_get_document():
    # Create a client
    client = dialogflow_v2.DocumentsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.GetDocumentRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
request	`Union[google.cloud.dialogflow_v2.types.GetDocumentRequest, dict]` The request object. Request message for Documents.GetDocument.
name	`str` Required. The name of the document to retrieve. Format `projects/<Project ID>/locations/<Location ID>/knowledgeBases/<Knowledge Base ID>/documents/<Document ID>`. 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

Type	Description
google.cloud.dialogflow_v2.types.Document	A knowledge document to be used by a KnowledgeBase. For more information, see the [knowledge base guide](\ https://cloud.google.com/dialogflow/docs/how/knowledge-bases). Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: 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 variabel 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 `api_endpoint` and `client_cert_source` properties may be used in this method.

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_transport_class

get_transport_class()

Returns an appropriate transport class.

import_documents

import_documents(request: Optional[Union[google.cloud.dialogflow_v2.types.document.ImportDocumentsRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates documents by importing data from external sources. Dialogflow supports up to 350 documents in each request. If you try to import more, Dialogflow will return an error.

This method is a long-running operation <https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation>__. The returned Operation type has the following method-specific fields:

metadata: xref_KnowledgeOperationMetadata
response: xref_ImportDocumentsResponse

from google.cloud import dialogflow_v2

async def sample_import_documents():
    # Create a client
    client = dialogflow_v2.DocumentsAsyncClient()

    # Initialize request argument(s)
    gcs_source = dialogflow_v2.GcsSources()
    gcs_source.uris = ['uris_value_1', 'uris_value_2']

    document_template = dialogflow_v2.ImportDocumentTemplate()
    document_template.mime_type = "mime_type_value"
    document_template.knowledge_types = "AGENT_FACING_SMART_REPLY"

    request = dialogflow_v2.ImportDocumentsRequest(
        gcs_source=gcs_source,
        parent="parent_value",
        document_template=document_template,
    )

    # 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

Name	Description
request	`Union[google.cloud.dialogflow_v2.types.ImportDocumentsRequest, dict]` The request object. Request message for Documents.ImportDocuments.
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

Type	Description
google.api_core.operation_async.AsyncOperation	An object representing a long-running operation. The result type for the operation will be ImportDocumentsResponse Response message for Documents.ImportDocuments.

list_documents

list_documents(request: Optional[Union[google.cloud.dialogflow_v2.types.document.ListDocumentsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Returns the list of all documents of the knowledge base.

from google.cloud import dialogflow_v2

async def sample_list_documents():
    # Create a client
    client = dialogflow_v2.DocumentsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.ListDocumentsRequest(
        parent="parent_value",
    )

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

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

Parameters

Name	Description
request	`Union[google.cloud.dialogflow_v2.types.ListDocumentsRequest, dict]` The request object. Request message for Documents.ListDocuments.
parent	`str` Required. The knowledge base to list all documents for. Format: `projects/<Project ID>/locations/<Location ID>/knowledgeBases/<Knowledge Base ID>`. This corresponds to the `parent` 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

Type	Description
google.cloud.dialogflow_v2.services.documents.pagers.ListDocumentsAsyncPager	Response message for Documents.ListDocuments. Iterating over this object will yield results and resolve additional pages automatically.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_document_path

parse_document_path(path: str)

Parses a document path into its component segments.

reload_document

reload_document(request: Optional[Union[google.cloud.dialogflow_v2.types.document.ReloadDocumentRequest, dict]] = None, *, name: Optional[str] = None, content_uri: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Reloads the specified document from its specified source, content_uri or content. The previously loaded content of the document will be deleted. Note: Even when the content of the document has not changed, there still may be side effects because of internal implementation changes.

This method is a long-running operation <https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation>__. The returned Operation type has the following method-specific fields:

metadata: xref_KnowledgeOperationMetadata
response: xref_Document

Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.

from google.cloud import dialogflow_v2

async def sample_reload_document():
    # Create a client
    client = dialogflow_v2.DocumentsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.ReloadDocumentRequest(
        content_uri="content_uri_value",
        name="name_value",
    )

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

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

    response = await operation.result()

    # Handle the response
    print(response)

Parameters

Name	Description
request	`Union[google.cloud.dialogflow_v2.types.ReloadDocumentRequest, dict]` The request object. Request message for Documents.ReloadDocument.
name	`str` Required. The name of the document to reload. Format: `projects/<Project ID>/locations/<Location ID>/knowledgeBases/<Knowledge Base ID>/documents/<Document ID>` This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
content_uri	`str` Optional. The path of gcs source file for reloading document content. For now, only gcs uri is supported. For documents stored in Google Cloud Storage, these URIs must have the form `gs://<bucket-name>/<object-name>`. This corresponds to the `content_uri` 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

Type	Description
google.api_core.operation_async.AsyncOperation	An object representing a long-running operation. The result type for the operation will be Document A knowledge document to be used by a KnowledgeBase. For more information, see the [knowledge base guide](\ https://cloud.google.com/dialogflow/docs/how/knowledge-bases). Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.

update_document

update_document(request: Optional[Union[google.cloud.dialogflow_v2.types.document.UpdateDocumentRequest, dict]] = None, *, document: Optional[google.cloud.dialogflow_v2.types.document.Document] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Updates the specified document.

This method is a long-running operation <https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation>__. The returned Operation type has the following method-specific fields:

metadata: xref_KnowledgeOperationMetadata
response: xref_Document

from google.cloud import dialogflow_v2

async def sample_update_document():
    # Create a client
    client = dialogflow_v2.DocumentsAsyncClient()

    # Initialize request argument(s)
    document = dialogflow_v2.Document()
    document.content_uri = "content_uri_value"
    document.display_name = "display_name_value"
    document.mime_type = "mime_type_value"
    document.knowledge_types = "AGENT_FACING_SMART_REPLY"

    request = dialogflow_v2.UpdateDocumentRequest(
        document=document,
    )

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

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

    response = await operation.result()

    # Handle the response
    print(response)

Parameters

Name	Description
request	`Union[google.cloud.dialogflow_v2.types.UpdateDocumentRequest, dict]` The request object. Request message for Documents.UpdateDocument.
document	`Document` Required. The document to update. This corresponds to the `document` field on the `request` instance; if `request` is provided, this should not be set.
update_mask	`google.protobuf.field_mask_pb2.FieldMask` Optional. Not specified means `update all`. Currently, only `display_name` can be updated, an InvalidArgument will be returned for attempting to update other fields. 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.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

Type	Description
google.api_core.operation_async.AsyncOperation	An object representing a long-running operation. The result type for the operation will be Document A knowledge document to be used by a KnowledgeBase. For more information, see the [knowledge base guide](\ https://cloud.google.com/dialogflow/docs/how/knowledge-bases). Note: The projects.agent.knowledgeBases.documents resource is deprecated; only use projects.knowledgeBases.documents.