Class DocumentsClient (0.7.2) 

DocumentsClient(
    transport=None,
    channel=None,
    credentials=None,
    client_config=None,
    client_info=None,
    client_options=None,
)

Manages documents of a knowledge base.

Methods

DocumentsClient

DocumentsClient(
    transport=None,
    channel=None,
    credentials=None,
    client_config=None,
    client_info=None,
    client_options=None,
)

Constructor.

Parameters
NameDescription
channel grpc.Channel

DEPRECATED. A Channel instance through which to make calls. This argument is mutually exclusive with credentials; providing both will raise an exception.

credentials google.auth.credentials.Credentials

The authorization credentials to attach to requests. These credentials identify this application to the service. If none are specified, the client will attempt to ascertain the credentials from the environment. This argument is mutually exclusive with providing a transport instance to transport; doing so will raise an exception.

client_config dict

DEPRECATED. A dictionary of call options for each method. If not specified, the default configuration is 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.

client_options Union[dict, google.api_core.client_options.ClientOptions]

Client options used to set user options on the client. API Endpoint should be set through client_options.

create_document

create_document(parent, document, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Creates a new document.

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

Operation <response: Document, metadata: KnowledgeOperationMetadata>

.. rubric:: Example

import dialogflow_v2beta1

client = dialogflow_v2beta1.DocumentsClient()

parent = client.knowledge_base_path('[PROJECT]', '[KNOWLEDGE_BASE]')

TODO: Initialize document:

document = {}

response = client.create_document(parent, document)

def callback(operation_future): ... # Handle result. ... result = operation_future.result()

response.add_done_callback(callback)

Handle metadata.

metadata = response.metadata()

Parameters
NameDescription
parent str

Required. The knoweldge base to create a document for. Format: projects/.

document Union[dict, Document]

Required. The document to create. If a dict is provided, it must be of the same form as the protobuf message Document

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

timeout Optional[float]

The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

metadata Optional[Sequence[Tuple[str, str]]]

Additional metadata that is provided to the method.

Exceptions
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

delete_document

delete_document(name, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Deletes the specified document.

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

Operation <response: google.protobuf.Empty, metadata: KnowledgeOperationMetadata>

.. rubric:: Example

import dialogflow_v2beta1

client = dialogflow_v2beta1.DocumentsClient()

name = client.document_path('[PROJECT]', '[KNOWLEDGE_BASE]', '[DOCUMENT]')

response = client.delete_document(name)

def callback(operation_future): ... # Handle result. ... result = operation_future.result()

response.add_done_callback(callback)

Handle metadata.

metadata = response.metadata()

Parameters
NameDescription
name str

The name of the document to delete. Format: projects/.

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

timeout Optional[float]

The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

metadata Optional[Sequence[Tuple[str, str]]]

Additional metadata that is provided to the method.

Exceptions
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

document_path

document_path(project, knowledge_base, document)

Return a fully-qualified document string.

from_service_account_file

from_service_account_file(filename, *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
dialogflow_v2beta1.DocumentsClientThe constructed client.

from_service_account_json

from_service_account_json(filename, *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
dialogflow_v2beta1.DocumentsClientThe constructed client.

get_document

get_document(name, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Retrieves the specified document.

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

.. rubric:: Example

import dialogflow_v2beta1

client = dialogflow_v2beta1.DocumentsClient()

name = client.document_path('[PROJECT]', '[KNOWLEDGE_BASE]', '[DOCUMENT]')

response = client.get_document(name)

Parameters
NameDescription
name str

Required. The name of the document to retrieve. Format projects/.

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

timeout Optional[float]

The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

metadata Optional[Sequence[Tuple[str, str]]]

Additional metadata that is provided to the method.

Exceptions
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

knowledge_base_path

knowledge_base_path(project, knowledge_base)

Return a fully-qualified knowledge_base string.

list_documents

list_documents(parent, page_size=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Returns the list of all documents of the knowledge base.

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

.. rubric:: Example

import dialogflow_v2beta1

client = dialogflow_v2beta1.DocumentsClient()

parent = client.knowledge_base_path('[PROJECT]', '[KNOWLEDGE_BASE]')

Iterate over all results

for element in client.list_documents(parent): ... # process element ... pass

Alternatively:

Iterate over results one page at a time

for page in client.list_documents(parent).pages: ... for element in page: ... # process element ... pass

Parameters
NameDescription
parent str

Required. The knowledge base to list all documents for. Format: projects/.

page_size int

The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page.

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

timeout Optional[float]

The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

metadata Optional[Sequence[Tuple[str, str]]]

Additional metadata that is provided to the method.

Exceptions
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

reload_document

reload_document(name=None, gcs_source=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

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

Operation <response: Document, metadata: KnowledgeOperationMetadata>

.. rubric:: Example

import dialogflow_v2beta1

client = dialogflow_v2beta1.DocumentsClient()

response = client.reload_document()

Parameters
NameDescription
name str

The name of the document to reload. Format: projects/

gcs_source Union[dict, GcsSource]

The path of gcs source file for reloading document content. If a dict is provided, it must be of the same form as the protobuf message GcsSource

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

timeout Optional[float]

The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

metadata Optional[Sequence[Tuple[str, str]]]

Additional metadata that is provided to the method.

Exceptions
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

update_document

update_document(document, update_mask=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Updates the specified document.

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

Operation <response: Document, metadata: KnowledgeOperationMetadata>

.. rubric:: Example

import dialogflow_v2beta1

client = dialogflow_v2beta1.DocumentsClient()

TODO: Initialize document:

document = {}

response = client.update_document(document)

def callback(operation_future): ... # Handle result. ... result = operation_future.result()

response.add_done_callback(callback)

Handle metadata.

metadata = response.metadata()

Parameters
NameDescription
document Union[dict, Document]

Required. The document to update. If a dict is provided, it must be of the same form as the protobuf message Document

update_mask Union[dict, 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. If a dict is provided, it must be of the same form as the protobuf message FieldMask

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

timeout Optional[float]

The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

metadata Optional[Sequence[Tuple[str, str]]]

Additional metadata that is provided to the method.

Exceptions
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.