Class DocumentsAsyncClient (2.20.0)

Service for managing knowledge Documents.

Returns the transport used by the client instance.

Instantiates the documents client.

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.

Returns a fully-qualified billing_account string.

Returns a fully-qualified folder string.

Returns a fully-qualified location string.

Returns a fully-qualified organization string.

Returns a fully-qualified project string.

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

# 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 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)

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>__

# 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 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)

Returns a fully-qualified document string.

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

# 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 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)

Creates an instance of this client using the provided credentials file.

Creates an instance of this client using the provided credentials info.

Creates an instance of this client using the provided credentials file.

Retrieves the specified 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 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)

Gets information about a location.

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.

Gets the latest state of a long-running operation.

Returns an appropriate transport class.

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

# 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 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_value1', 'uris_value2']

    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)

Returns the list of all documents of the knowledge base.

# 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 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)

Lists information about the supported locations for this service.

Lists operations that match the specified filter in the request.

Parse a billing_account path into its component segments.

Parse a folder path into its component segments.

Parse a location path into its component segments.

Parse a organization path into its component segments.

Parse a project path into its component segments.

Parses a document path into its component segments.

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.

# 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 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)

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

# 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 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)