Class DocumentsClient (2.14.1)

DocumentsClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.dialogflow_v2beta1.services.documents.transports.base.DocumentsTransport]] = None, 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.

Properties

transport

Returns the transport used by the client instance.

Returns
TypeDescription
DocumentsTransportThe transport used by the client instance.

Methods

DocumentsClient

DocumentsClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.dialogflow_v2beta1.services.documents.transports.base.DocumentsTransport]] = None, 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
NameDescription
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 google.api_core.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.

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.

Exceptions
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf mutual TLS transport creation failed for any reason.

__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

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_v2beta1.types.document.CreateDocumentRequest, dict]] = None, *, parent: Optional[str] = None, document: Optional[google.cloud.dialogflow_v2beta1.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

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

from google.cloud import dialogflow_v2beta1

def sample_create_document():
    # Create a client
    client = dialogflow_v2beta1.DocumentsClient()

    # Initialize request argument(s)
    document = dialogflow_v2beta1.Document()
    document.content_uri = "content_uri_value"
    document.display_name = "display_name_value"
    document.mime_type = "mime_type_value"
    document.knowledge_types = "SMART_REPLY"

    request = dialogflow_v2beta1.CreateDocumentRequest(
        parent="parent_value",
        document=document,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.CreateDocumentRequest, dict]

The request object. Request message for Documents.CreateDocument.

parent str

Required. The knowledge base to create a document for. Format: projects/. This corresponds to the parent field on the request instance; if request is provided, this should not be set.

document google.cloud.dialogflow_v2beta1.types.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
TypeDescription
google.api_core.operation.OperationAn 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_v2beta1.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>__

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

from google.cloud import dialogflow_v2beta1

def sample_delete_document():
    # Create a client
    client = dialogflow_v2beta1.DocumentsClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.DeleteDocumentRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.DeleteDocumentRequest, dict]

The request object. Request message for Documents.DeleteDocument.

name str

Required. The name of the document to delete. Format: projects/. 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
TypeDescription
google.api_core.operation.OperationAn 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.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

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

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
DocumentsClientThe 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
NameDescription
info dict

The service account private key info.

Returns
TypeDescription
DocumentsClientThe 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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
DocumentsClientThe constructed client.

get_document

get_document(request: Optional[Union[google.cloud.dialogflow_v2beta1.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.

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

from google.cloud import dialogflow_v2beta1

def sample_get_document():
    # Create a client
    client = dialogflow_v2beta1.DocumentsClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.GetDocumentRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.GetDocumentRequest, dict]

The request object. Request message for Documents.GetDocument.

name str

Required. The name of the document to retrieve. Format projects/. 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
TypeDescription
google.cloud.dialogflow_v2beta1.types.DocumentA 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
NameDescription
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
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf any errors happen.
Returns
TypeDescription
Tuple[str, Callable[[], Tuple[bytes, bytes]]]returns the API endpoint and the client cert source to use.

import_documents

import_documents(request: Optional[Union[google.cloud.dialogflow_v2beta1.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]] = ())

Create 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_v2beta1

def sample_import_documents():
    # Create a client
    client = dialogflow_v2beta1.DocumentsClient()

    # Initialize request argument(s)
    gcs_source = dialogflow_v2beta1.GcsSources()
    gcs_source.uris = ['uris_value_1', 'uris_value_2']

    document_template = dialogflow_v2beta1.ImportDocumentTemplate()
    document_template.mime_type = "mime_type_value"
    document_template.knowledge_types = "SMART_REPLY"

    request = dialogflow_v2beta1.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 = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.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
TypeDescription
google.api_core.operation.OperationAn 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_v2beta1.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.

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

from google.cloud import dialogflow_v2beta1

def sample_list_documents():
    # Create a client
    client = dialogflow_v2beta1.DocumentsClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.ListDocumentsRequest(
        parent="parent_value",
    )

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

    # Handle the response
    for response in page_result:
        print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.ListDocumentsRequest, dict]

The request object. Request message for Documents.ListDocuments.

parent str

Required. The knowledge base to list all documents for. Format: projects/. 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
TypeDescription
google.cloud.dialogflow_v2beta1.services.documents.pagers.ListDocumentsPagerResponse 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_v2beta1.types.document.ReloadDocumentRequest, dict]] = None, *, name: Optional[str] = None, gcs_source: Optional[google.cloud.dialogflow_v2beta1.types.gcs.GcsSource] = 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. Note: If the document source is Google Cloud Storage URI, its metadata will be replaced with the custom metadata from Google Cloud Storage if the import_gcs_custom_metadata field is set to true in the request.

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_v2beta1

def sample_reload_document():
    # Create a client
    client = dialogflow_v2beta1.DocumentsClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.ReloadDocumentRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.ReloadDocumentRequest, dict]

The request object. Request message for Documents.ReloadDocument.

name str

Required. The name of the document to reload. Format: projects/ This corresponds to the name field on the request instance; if request is provided, this should not be set.

gcs_source google.cloud.dialogflow_v2beta1.types.GcsSource

The path for a Cloud Storage source file for reloading document content. If not provided, the Document's existing source will be reloaded. This corresponds to the gcs_source 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
TypeDescription
google.api_core.operation.OperationAn 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_v2beta1.types.document.UpdateDocumentRequest, dict]] = None, *, document: Optional[google.cloud.dialogflow_v2beta1.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

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

from google.cloud import dialogflow_v2beta1

def sample_update_document():
    # Create a client
    client = dialogflow_v2beta1.DocumentsClient()

    # Initialize request argument(s)
    document = dialogflow_v2beta1.Document()
    document.content_uri = "content_uri_value"
    document.display_name = "display_name_value"
    document.mime_type = "mime_type_value"
    document.knowledge_types = "SMART_REPLY"

    request = dialogflow_v2beta1.UpdateDocumentRequest(
        document=document,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.UpdateDocumentRequest, dict]

The request object. Request message for Documents.UpdateDocument.

document google.cloud.dialogflow_v2beta1.types.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
TypeDescription
google.api_core.operation.OperationAn 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.