Class KnowledgeBasesClient (1.1.3)

Version 1.1.3

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

Service for managing KnowledgeBases.

Methods

KnowledgeBasesClient

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

Constructor.

Parameters
Name	Description
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_knowledge_base

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

Creates a knowledge base.

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

.. rubric:: Example

import dialogflow_v2beta1

client = dialogflow_v2beta1.KnowledgeBasesClient()

parent = client.project_path('[PROJECT]')

TODO: Initialize knowledge_base:

knowledge_base = {}

response = client.create_knowledge_base(parent, knowledge_base)

Parameters
Name	Description
parent	str Required. The project to create a knowledge base for. Format: projects/.
knowledge_base	Union[dict, KnowledgeBase] Required. The knowledge base to create. If a dict is provided, it must be of the same form as the protobuf message KnowledgeBase
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
Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.

delete_knowledge_base

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

Deletes the specified knowledge base.

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

.. rubric:: Example

import dialogflow_v2beta1

client = dialogflow_v2beta1.KnowledgeBasesClient()

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

client.delete_knowledge_base(name)

Parameters
Name	Description
name	str Required. The name of the knowledge base to delete. Format: projects/.
force	bool Optional. Force deletes the knowledge base. When set to true, any documents in the knowledge base are also deleted.
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
Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.

from_service_account_file

from_service_account_file(filename, *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
dialogflow_v2beta1.KnowledgeBasesClient	The 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
Name	Description
filename	str The path to the service account private key json file.

Returns
Type	Description
dialogflow_v2beta1.KnowledgeBasesClient	The constructed client.

get_knowledge_base

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

Retrieves the specified knowledge base.

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

.. rubric:: Example

import dialogflow_v2beta1

client = dialogflow_v2beta1.KnowledgeBasesClient()

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

response = client.get_knowledge_base(name)

Parameters
Name	Description
name	str Required. The name of the knowledge base 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
Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.

knowledge_base_path

knowledge_base_path(project, knowledge_base)

Return a fully-qualified knowledge_base string.

list_knowledge_bases

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

Returns the list of all knowledge bases of the specified agent.

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

.. rubric:: Example

import dialogflow_v2beta1

client = dialogflow_v2beta1.KnowledgeBasesClient()

parent = client.project_path('[PROJECT]')

Iterate over all results

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

Alternatively:

Iterate over results one page at a time

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

Parameters
Name	Description
parent	str Required. The project to list of knowledge bases 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
Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.

project_path

project_path(project)

Return a fully-qualified project string.

update_knowledge_base

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

Updates the specified knowledge base.

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

.. rubric:: Example

import dialogflow_v2beta1

client = dialogflow_v2beta1.KnowledgeBasesClient()

TODO: Initialize knowledge_base:

knowledge_base = {}

response = client.update_knowledge_base(knowledge_base)

Parameters
Name	Description
knowledge_base	Union[dict, KnowledgeBase] Required. The knowledge base to update. If a dict is provided, it must be of the same form as the protobuf message KnowledgeBase
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
Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.