Class ContextsClient (0.7.2)

Version 0.7.2

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

A context represents additional information included with user input or with an intent returned by the Dialogflow API. Contexts are helpful for differentiating user input which may be vague or have a different meaning depending on additional details from your application such as user setting and preferences, previous user input, where the user is in your application, geographic location, and so on.

You can include contexts as input parameters of a DetectIntent (or StreamingDetectIntent) request, or as output contexts included in the returned intent. Contexts expire when an intent is matched, after the number of DetectIntent requests specified by the lifespan_count parameter, or after 20 minutes if no intents are matched for a DetectIntent request.

For more information about contexts, see the Dialogflow documentation <https://cloud.google.com/dialogflow/docs/contexts-overview>__.

Methods

ContextsClient

ContextsClient(
    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.

context_path

context_path(project, session, context)

Return a fully-qualified context string.

create_context

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

Creates a context.

If the specified context already exists, overrides the context.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.ContextsClient()

parent = client.session_path('[PROJECT]', '[SESSION]')

TODO: Initialize context:

context = {}

response = client.create_context(parent, context)

Parameters
Name	Description
parent	str Required. The session to create a context for. Format: projects/.
context	Union[dict, Context] Required. The context to create. If a dict is provided, it must be of the same form as the protobuf message Context
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_all_contexts

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

Deletes all active contexts in the specified session.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.ContextsClient()

parent = client.session_path('[PROJECT]', '[SESSION]')

client.delete_all_contexts(parent)

Parameters
Name	Description
parent	str Required. The name of the session to delete all contexts from. 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.

delete_context

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

Deletes the specified context.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.ContextsClient()

name = client.context_path('[PROJECT]', '[SESSION]', '[CONTEXT]')

client.delete_context(name)

Parameters
Name	Description
name	str Required. The name of the context 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
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_v2.ContextsClient	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_v2.ContextsClient	The constructed client.

get_context

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

Retrieves the specified context.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.ContextsClient()

name = client.context_path('[PROJECT]', '[SESSION]', '[CONTEXT]')

response = client.get_context(name)

Parameters
Name	Description
name	str Required. The name of the context. 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.

list_contexts

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

Returns the list of all contexts in the specified session.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.ContextsClient()

parent = client.session_path('[PROJECT]', '[SESSION]')

Iterate over all results

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

Alternatively:

Iterate over results one page at a time

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

Parameters
Name	Description
parent	str Required. The session to list all contexts from. 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.

session_path

session_path(project, session)

Return a fully-qualified session string.

update_context

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

Updates the specified context.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.ContextsClient()

TODO: Initialize context:

context = {}

response = client.update_context(context)

Parameters
Name	Description
context	Union[dict, Context] Required. The context to update. If a dict is provided, it must be of the same form as the protobuf message Context
update_mask	Union[dict, FieldMask] Optional. The mask to control which fields get updated. 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.