Class IntentsAsyncClient (2.36.0) 

IntentsAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflow_v2.services.intents.transports.base.IntentsTransport, typing.Callable[[...], google.cloud.dialogflow_v2.services.intents.transports.base.IntentsTransport]]] = 'grpc_asyncio', client_options: typing.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 Intents.

Properties

api_endpoint

Return the API endpoint used by the client instance.

Returns
Type Description
str The API endpoint used by the client instance.

transport

Returns the transport used by the client instance.

Returns
Type Description
IntentsTransport The transport used by the client instance.

universe_domain

Return the universe domain used by the client instance.

Returns
Type Description
str The universe domain used by the client instance.

Methods

IntentsAsyncClient

IntentsAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflow_v2.services.intents.transports.base.IntentsTransport, typing.Callable[[...], google.cloud.dialogflow_v2.services.intents.transports.base.IntentsTransport]]] = 'grpc_asyncio', client_options: typing.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 intents async client.

Parameters
Name Description
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 Optional[Union[str,IntentsTransport,Callable[..., IntentsTransport]]]

The transport to use, or a Callable that constructs and returns a new transport to use. If a Callable is given, it will be called with the same set of initialization arguments as used in the IntentsTransport constructor. If set to None, a transport is chosen automatically.
client_options Optional[Union[google.api_core.client_options.ClientOptions, dict]]

Custom options for the client. 1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: "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). 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the client_cert_source property can be used to provide a client certificate for mTLS 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. 3. The universe_domain property can be used to override the default "googleapis.com" universe. Note that api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
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
Type Description
google.auth.exceptions.MutualTlsChannelError If mutual TLS transport creation failed for any reason.

batch_delete_intents

batch_delete_intents(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2.types.intent.BatchDeleteIntentsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    intents: typing.Optional[
        typing.MutableSequence[google.cloud.dialogflow_v2.types.intent.Intent]
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Deletes intents in the specified agent.

This method is a long-running operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>__. The returned Operation type has the following method-specific fields:

  • metadata: An empty Struct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>__
  • response: An Empty message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty>__

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2

async def sample_batch_delete_intents():
    # Create a client
    client = dialogflow_v2.IntentsAsyncClient()

    # Initialize request argument(s)
    intents = dialogflow_v2.Intent()
    intents.display_name = "display_name_value"

    request = dialogflow_v2.BatchDeleteIntentsRequest(
        parent="parent_value",
        intents=intents,
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.dialogflow_v2.types.BatchDeleteIntentsRequest, dict]]

The request object. The request message for Intents.BatchDeleteIntents.
parent str

Required. The name of the agent to delete all entities types for. Format: projects/. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
intents :class:MutableSequence[google.cloud.dialogflow_v2.types.Intent]

Required. The collection of intents to delete. Only intent name must be filled in. This corresponds to the intents field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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
Type Description
google.api_core.operation_async.AsyncOperation An 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); }

batch_update_intents

batch_update_intents(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflow_v2.types.intent.BatchUpdateIntentsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    intent_batch_uri: typing.Optional[str] = None,
    intent_batch_inline: typing.Optional[
        google.cloud.dialogflow_v2.types.intent.IntentBatch
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation_async.AsyncOperation

Updates/Creates multiple intents in the specified agent.

This method is a long-running operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>__. The returned Operation type has the following method-specific fields:

  • metadata: An empty Struct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>__
  • response: xref_BatchUpdateIntentsResponse

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2

async def sample_batch_update_intents():
    # Create a client
    client = dialogflow_v2.IntentsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.BatchUpdateIntentsRequest(
        intent_batch_uri="intent_batch_uri_value",
        parent="parent_value",
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.dialogflow_v2.types.BatchUpdateIntentsRequest, dict]]

The request object.
parent str

Required. The name of the agent to update or create intents in. Format: projects/. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
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://". This corresponds to the intent_batch_uri field on the request instance; if request is provided, this should not be set.
intent_batch_inline IntentBatch

The collection of intents to update or create. This corresponds to the intent_batch_inline field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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
Type Description
google.api_core.operation_async.AsyncOperation An object representing a long-running operation. The result type for the operation will be BatchUpdateIntentsResponse The response message for Intents.BatchUpdateIntents.

cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
Name Description
request .operations_pb2.CancelOperationRequest

The request object. Request message for CancelOperation method.
retry google.api_core.retry_async.AsyncRetry

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.

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

context_path

context_path(project: str, session: str, context: str) -> str

Returns a fully-qualified context string.

create_intent

create_intent(
    request: typing.Optional[
        typing.Union[google.cloud.dialogflow_v2.types.intent.CreateIntentRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    intent: typing.Optional[google.cloud.dialogflow_v2.types.intent.Intent] = None,
    language_code: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dialogflow_v2.types.intent.Intent

Creates an intent in the specified agent.

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2

async def sample_create_intent():
    # Create a client
    client = dialogflow_v2.IntentsAsyncClient()

    # Initialize request argument(s)
    intent = dialogflow_v2.Intent()
    intent.display_name = "display_name_value"

    request = dialogflow_v2.CreateIntentRequest(
        parent="parent_value",
        intent=intent,
    )

    # Make the request
    response = await client.create_intent(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.dialogflow_v2.types.CreateIntentRequest, dict]]

The request object. The request message for Intents.CreateIntent.
parent str

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

Required. The intent to create. This corresponds to the intent field on the request instance; if request is provided, this should not be set.
language_code str

Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity__. This corresponds to the language_code field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_async.AsyncRetry

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
Type Description
google.cloud.dialogflow_v2.types.Intent An intent categorizes an end-user's intention for one conversation turn. For each agent, you define many intents, where your combined intents can handle a complete conversation. When an end-user writes or says something, referred to as an end-user expression or end-user input, Dialogflow matches the end-user input to the best intent in your agent. Matching an intent is also known as intent classification. For more information, see the [intent guide](\ https://cloud.google.com/dialogflow/docs/intents-overview).

delete_intent

delete_intent(
    request: typing.Optional[
        typing.Union[google.cloud.dialogflow_v2.types.intent.DeleteIntentRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault