Class IntentsClient (1.0.0)

Version 1.0.0

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

An intent represents a mapping between input from a user and an action to be taken by your application. When you pass user input to the DetectIntent (or StreamingDetectIntent) method, the Dialogflow API analyzes the input and searches for a matching intent. If no match is found, the Dialogflow API returns a fallback intent (is_fallback = true).

You can provide additional information for the Dialogflow API to use to match user input to an intent by adding the following to your intent.

• Contexts - provide additional context for intent analysis. For example, if an intent is related to an object in your application that plays music, you can provide a context to determine when to match the intent if the user input is "turn it off". You can include a context that matches the intent when there is previous user input of "play music", and not when there is previous user input of "turn on the light".

• Events - allow for matching an intent by using an event name instead of user input. Your application can provide an event name and related parameters to the Dialogflow API to match an intent. For example, when your application starts, you can send a welcome event with a user name parameter to the Dialogflow API to match an intent with a personalized welcome message for the user.

• Training phrases - provide examples of user input to train the Dialogflow API agent to better match intents.

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

Methods

IntentsClient

IntentsClient(
    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.

agent_path

agent_path(project, agent)

Return a fully-qualified agent string.

batch_delete_intents

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

Deletes intents in the specified agent.

Operation <response: google.protobuf.Empty>

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.IntentsClient()

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

TODO: Initialize intents:

intents = []

response = client.batch_delete_intents(parent, intents)

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

response.add_done_callback(callback)

Handle metadata.

metadata = response.metadata()

Parameters
Name	Description
parent	str Required. The name of the agent to delete all entities types for. Format: projects/.
intents	list[Union[dict, Intent]] Required. The collection of intents to delete. Only intent name must be filled in. If a dict is provided, it must be of the same form as the protobuf message Intent
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.

batch_update_intents

batch_update_intents(parent, intent_batch_uri=None, intent_batch_inline=None, language_code=None, update_mask=None, intent_view=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Updates/Creates multiple intents in the specified agent.

Operation <response: BatchUpdateIntentsResponse>

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.IntentsClient()

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

response = client.batch_update_intents(parent)

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

response.add_done_callback(callback)

Handle metadata.

metadata = response.metadata()

Parameters
Name	Description
parent	str Required. The name of the agent to update or create intents in. Format: projects/.
intent_batch_uri	str The URI to a Google Cloud Storage file containing intents to update or create. The file format can either be a serialized proto (of IntentBatch type) or JSON object. Note: The URI must start with "gs://".
intent_batch_inline	Union[dict, IntentBatch] The collection of intents to update or create. If a dict is provided, it must be of the same form as the protobuf message IntentBatch
language_code	str Optional. The language of training phrases, parameters and rich messages defined in intents. If not specified, the agent's default language is used. Many languages https://cloud.google.com/dialogflow/docs/reference/language__ are supported. Note: languages must be enabled in the agent before they can be used.
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
intent_view	IntentView Optional. The resource view to apply to the returned intent.
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.

create_intent

create_intent(parent, intent, language_code=None, intent_view=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Creates an intent in the specified agent.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.IntentsClient()

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

TODO: Initialize intent:

intent = {}

response = client.create_intent(parent, intent)

Parameters
Name	Description
parent	str Required. The agent to create a intent for. Format: projects/.
intent	Union[dict, Intent] Required. The intent to create. If a dict is provided, it must be of the same form as the protobuf message Intent
language_code	str Optional. The language of training phrases, parameters and rich messages defined in intent. If not specified, the agent's default language is used. Many languages https://cloud.google.com/dialogflow/docs/reference/language__ are supported. Note: languages must be enabled in the agent before they can be used.
intent_view	IntentView Optional. The resource view to apply to the returned intent.
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_intent

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

Deletes the specified intent and its direct or indirect followup intents.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.IntentsClient()

name = client.intent_path('[PROJECT]', '[INTENT]')

client.delete_intent(name)

Parameters
Name	Description
name	str Required. The name of the intent to delete. If this intent has direct or indirect followup intents, we also delete them. 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.IntentsClient	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.IntentsClient	The constructed client.

get_intent

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

Retrieves the specified intent.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.IntentsClient()

name = client.intent_path('[PROJECT]', '[INTENT]')

response = client.get_intent(name)

Parameters
Name	Description
name	str Required. The name of the intent. Format: projects/.
language_code	str Optional. The language to retrieve training phrases, parameters and rich messages for. If not specified, the agent's default language is used. Many languages https://cloud.google.com/dialogflow/docs/reference/language__ are supported. Note: languages must be enabled in the agent before they can be used.
intent_view	IntentView Optional. The resource view to apply to the returned intent.
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.

intent_path

intent_path(project, intent)

Return a fully-qualified intent string.

list_intents

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

Returns the list of all intents in the specified agent.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.IntentsClient()

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

Iterate over all results

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

Alternatively:

Iterate over results one page at a time

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

Parameters
Name	Description
parent	str Required. The agent to list all intents from. Format: projects/.
language_code	str Optional. The language to list training phrases, parameters and rich messages for. If not specified, the agent's default language is used. Many languages https://cloud.google.com/dialogflow/docs/reference/language__ are supported. Note: languages must be enabled in the agent before they can be used.
intent_view	IntentView Optional. The resource view to apply to the returned intent.
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_agent_path

project_agent_path(project)

Return a fully-qualified project_agent string.

update_intent

update_intent(intent, language_code=None, update_mask=None, intent_view=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Updates the specified intent.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.IntentsClient()

TODO: Initialize intent:

intent = {}

response = client.update_intent(intent)

Parameters
Name	Description
intent	Union[dict, Intent] Required. The intent to update. If a dict is provided, it must be of the same form as the protobuf message Intent
language_code	str Optional. The language of training phrases, parameters and rich messages defined in intent. If not specified, the agent's default language is used. Many languages https://cloud.google.com/dialogflow/docs/reference/language__ are supported. Note: languages must be enabled in the agent before they can be used.
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
intent_view	IntentView Optional. The resource view to apply to the returned intent.
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.