text: # -*- coding: utf-8 -*-
  # Copyright 2022 Google LLC
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  #
  from collections import OrderedDict
  import functools
  import re
  from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union
  import pkg_resources
  
  from google.api_core.client_options import ClientOptions
  from google.api_core import exceptions as core_exceptions
  from google.api_core import gapic_v1
  from google.api_core import retry as retries
  from google.auth import credentials as ga_credentials  # type: ignore
  from google.oauth2 import service_account  # type: ignore
  
  try:
      OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
  except AttributeError:  # pragma: NO COVER
      OptionalRetry = Union[retries.Retry, object]  # type: ignore
  
  from google.api_core import operation  # type: ignore
  from google.api_core import operation_async  # type: ignore
  from google.cloud.dialogflow_v2.services.conversation_profiles import pagers
  from google.cloud.dialogflow_v2.types import audio_config
  from google.cloud.dialogflow_v2.types import conversation_profile
  from google.cloud.dialogflow_v2.types import (
      conversation_profile as gcd_conversation_profile,
  )
  from google.protobuf import field_mask_pb2  # type: ignore
  from google.protobuf import timestamp_pb2  # type: ignore
  from .transports.base import ConversationProfilesTransport, DEFAULT_CLIENT_INFO
  from .transports.grpc_asyncio import ConversationProfilesGrpcAsyncIOTransport
  from .client import ConversationProfilesClient
  
  
  class ConversationProfilesAsyncClient:
      """Service for managing
      [ConversationProfiles][google.cloud.dialogflow.v2.ConversationProfile].
      """
  
      _client: ConversationProfilesClient
  
      DEFAULT_ENDPOINT = ConversationProfilesClient.DEFAULT_ENDPOINT
      DEFAULT_MTLS_ENDPOINT = ConversationProfilesClient.DEFAULT_MTLS_ENDPOINT
  
      agent_path = staticmethod(ConversationProfilesClient.agent_path)
      parse_agent_path = staticmethod(ConversationProfilesClient.parse_agent_path)
      conversation_model_path = staticmethod(
          ConversationProfilesClient.conversation_model_path
      )
      parse_conversation_model_path = staticmethod(
          ConversationProfilesClient.parse_conversation_model_path
      )
      conversation_profile_path = staticmethod(
          ConversationProfilesClient.conversation_profile_path
      )
      parse_conversation_profile_path = staticmethod(
          ConversationProfilesClient.parse_conversation_profile_path
      )
      cx_security_settings_path = staticmethod(
          ConversationProfilesClient.cx_security_settings_path
      )
      parse_cx_security_settings_path = staticmethod(
          ConversationProfilesClient.parse_cx_security_settings_path
      )
      document_path = staticmethod(ConversationProfilesClient.document_path)
      parse_document_path = staticmethod(ConversationProfilesClient.parse_document_path)
      knowledge_base_path = staticmethod(ConversationProfilesClient.knowledge_base_path)
      parse_knowledge_base_path = staticmethod(
          ConversationProfilesClient.parse_knowledge_base_path
      )
      common_billing_account_path = staticmethod(
          ConversationProfilesClient.common_billing_account_path
      )
      parse_common_billing_account_path = staticmethod(
          ConversationProfilesClient.parse_common_billing_account_path
      )
      common_folder_path = staticmethod(ConversationProfilesClient.common_folder_path)
      parse_common_folder_path = staticmethod(
          ConversationProfilesClient.parse_common_folder_path
      )
      common_organization_path = staticmethod(
          ConversationProfilesClient.common_organization_path
      )
      parse_common_organization_path = staticmethod(
          ConversationProfilesClient.parse_common_organization_path
      )
      common_project_path = staticmethod(ConversationProfilesClient.common_project_path)
      parse_common_project_path = staticmethod(
          ConversationProfilesClient.parse_common_project_path
      )
      common_location_path = staticmethod(ConversationProfilesClient.common_location_path)
      parse_common_location_path = staticmethod(
          ConversationProfilesClient.parse_common_location_path
      )
  
      @classmethod
      def from_service_account_info(cls, info: dict, *args, **kwargs):
          """Creates an instance of this client using the provided credentials
              info.
  
          Args:
              info (dict): The service account private key info.
              args: Additional arguments to pass to the constructor.
              kwargs: Additional arguments to pass to the constructor.
  
          Returns:
              ConversationProfilesAsyncClient: The constructed client.
          """
          return ConversationProfilesClient.from_service_account_info.__func__(ConversationProfilesAsyncClient, info, *args, **kwargs)  # type: ignore
  
      @classmethod
      def from_service_account_file(cls, filename: str, *args, **kwargs):
          """Creates an instance of this client using the provided credentials
              file.
  
          Args:
              filename (str): The path to the service account private key json
                  file.
              args: Additional arguments to pass to the constructor.
              kwargs: Additional arguments to pass to the constructor.
  
          Returns:
              ConversationProfilesAsyncClient: The constructed client.
          """
          return ConversationProfilesClient.from_service_account_file.__func__(ConversationProfilesAsyncClient, filename, *args, **kwargs)  # type: ignore
  
      from_service_account_json = from_service_account_file
  
      @classmethod
      def get_mtls_endpoint_and_cert_source(
          cls, client_options: Optional[ClientOptions] = None
      ):
          """Return the API endpoint and client cert source for mutual TLS.
  
          The client cert source is determined in the following order:
          (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
          client cert source is None.
          (2) if `client_options.client_cert_source` is provided, use the provided one; if the
          default client cert source exists, use the default one; otherwise the client cert
          source is None.
  
          The API endpoint is determined in the following order:
          (1) if `client_options.api_endpoint` if provided, use the provided one.
          (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
          default mTLS endpoint; if the environment variabel is "never", use the default API
          endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
          use the default API endpoint.
  
          More details can be found at https://google.aip.dev/auth/4114.
  
          Args:
              client_options (google.api_core.client_options.ClientOptions): Custom options for the
                  client. Only the `api_endpoint` and `client_cert_source` properties may be used
                  in this method.
  
          Returns:
              Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
                  client cert source to use.
  
          Raises:
              google.auth.exceptions.MutualTLSChannelError: If any errors happen.
          """
          return ConversationProfilesClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore
  
      @property
      def transport(self) -> ConversationProfilesTransport:
          """Returns the transport used by the client instance.
  
          Returns:
              ConversationProfilesTransport: The transport used by the client instance.
          """
          return self._client.transport
  
      get_transport_class = functools.partial(
          type(ConversationProfilesClient).get_transport_class,
          type(ConversationProfilesClient),
      )
  
      def __init__(
          self,
          *,
          credentials: ga_credentials.Credentials = None,
          transport: Union[str, ConversationProfilesTransport] = "grpc_asyncio",
          client_options: ClientOptions = None,
          client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
      ) -> None:
          """Instantiates the conversation profiles client.
  
          Args:
              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 (Union[str, ~.ConversationProfilesTransport]): The
                  transport to use. If set to None, a transport is chosen
                  automatically.
              client_options (ClientOptions): Custom options for the client. It
                  won't take effect if a ``transport`` instance is provided.
                  (1) The ``api_endpoint`` property can be used to override the
                  default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
                  environment variable can also be used to override the endpoint:
                  "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). However, the ``api_endpoint`` property takes
                  precedence if provided.
                  (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
                  is "true", then the ``client_cert_source`` property can be used
                  to provide client certificate for mutual TLS 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.
  
          Raises:
              google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
                  creation failed for any reason.
          """
          self._client = ConversationProfilesClient(
              credentials=credentials,
              transport=transport,
              client_options=client_options,
              client_info=client_info,
          )
  
      async def list_conversation_profiles(
          self,
          request: Union[
              conversation_profile.ListConversationProfilesRequest, dict
          ] = None,
          *,
          parent: str = None,
          retry: OptionalRetry = gapic_v1.method.DEFAULT,
          timeout: float = None,
          metadata: Sequence[Tuple[str, str]] = (),
      ) -> pagers.ListConversationProfilesAsyncPager:
          r"""Returns the list of all conversation profiles in the
          specified project.
  
          .. code-block:: python
  
              from google.cloud import dialogflow_v2
  
              async def sample_list_conversation_profiles():
                  # Create a client
                  client = dialogflow_v2.ConversationProfilesAsyncClient()
  
                  # Initialize request argument(s)
                  request = dialogflow_v2.ListConversationProfilesRequest(
                      parent="parent_value",
                  )
  
                  # Make the request
                  page_result = client.list_conversation_profiles(request=request)
  
                  # Handle the response
                  async for response in page_result:
                      print(response)
  
          Args:
              request (Union[google.cloud.dialogflow_v2.types.ListConversationProfilesRequest, dict]):
                  The request object. The request message for
                  [ConversationProfiles.ListConversationProfiles][google.cloud.dialogflow.v2.ConversationProfiles.ListConversationProfiles].
              parent (:class:`str`):
                  Required. The project to list all conversation profiles
                  from. Format:
                  ``projects/<Project ID>/locations/<Location ID>``.
  
                  This corresponds to the ``parent`` field
                  on the ``request`` instance; if ``request`` is provided, this
                  should not be set.
              retry (google.api_core.retry.Retry): 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:
              google.cloud.dialogflow_v2.services.conversation_profiles.pagers.ListConversationProfilesAsyncPager:
                  The response message for
                  [ConversationProfiles.ListConversationProfiles][google.cloud.dialogflow.v2.ConversationProfiles.ListConversationProfiles].
  
                  Iterating over this object will yield results and
                  resolve additional pages automatically.
  
          """
          # Create or coerce a protobuf request object.
          # Quick check: If we got a request object, we should *not* have
          # gotten any keyword arguments that map to the request.
          has_flattened_params = any([parent])
          if request is not None and has_flattened_params:
              raise ValueError(
                  "If the `request` argument is set, then none of "
                  "the individual field arguments should be set."
              )
  
          request = conversation_profile.ListConversationProfilesRequest(request)
  
          # If we have keyword arguments corresponding to fields on the
          # request, apply these.
          if parent is not None:
              request.parent = parent
  
          # Wrap the RPC method; this adds retry and timeout information,
          # and friendly error handling.
          rpc = gapic_v1.method_async.wrap_method(
              self._client._transport.list_conversation_profiles,
              default_timeout=None,
              client_info=DEFAULT_CLIENT_INFO,
          )
  
          # Certain fields should be provided within the metadata header;
          # add these here.
          metadata = tuple(metadata) + (
              gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
          )
  
          # Send the request.
          response = await rpc(
              request,
              retry=retry,
              timeout=timeout,
              metadata=metadata,
          )
  
          # This method is paged; wrap the response in a pager, which provides
          # an `__aiter__` convenience method.
          response = pagers.ListConversationProfilesAsyncPager(
              method=rpc,
              request=request,
              response=response,
              metadata=metadata,
          )
  
          # Done; return the response.
          return response
  
      async def get_conversation_profile(
          self,
          request: Union[conversation_profile.GetConversationProfileRequest, dict] = None,
          *,
          name: str = None,
          retry: OptionalRetry = gapic_v1.method.DEFAULT,
          timeout: float = None,
          metadata: Sequence[Tuple[str, str]] = (),
      ) -> conversation_profile.ConversationProfile:
          r"""Retrieves the specified conversation profile.
  
          .. code-block:: python
  
              from google.cloud import dialogflow_v2
  
              async def sample_get_conversation_profile():
                  # Create a client
                  client = dialogflow_v2.ConversationProfilesAsyncClient()
  
                  # Initialize request argument(s)
                  request = dialogflow_v2.GetConversationProfileRequest(
                      name="name_value",
                  )
  
                  # Make the request
                  response = await client.get_conversation_profile(request=request)
  
                  # Handle the response
                  print(response)
  
          Args:
              request (Union[google.cloud.dialogflow_v2.types.GetConversationProfileRequest, dict]):
                  The request object. The request message for
                  [ConversationProfiles.GetConversationProfile][google.cloud.dialogflow.v2.ConversationProfiles.GetConversationProfile].
              name (:class:`str`):
                  Required. The resource name of the conversation profile.
                  Format:
                  ``projects/<Project ID>/locations/<Location ID>/conversationProfiles/<Conversation Profile ID>``.
  
                  This corresponds to the ``name`` field
                  on the ``request`` instance; if ``request`` is provided, this
                  should not be set.
              retry (google.api_core.retry.Retry): 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:
              google.cloud.dialogflow_v2.types.ConversationProfile:
                  Defines the services to connect to
                  incoming Dialogflow conversations.
  
          """
          # Create or coerce a protobuf request object.
          # Quick check: If we got a request object, we should *not* have
          # gotten any keyword arguments that map to the request.
          has_flattened_params = any([name])
          if request is not None and has_flattened_params:
              raise ValueError(
                  "If the `request` argument is set, then none of "
                  "the individual field arguments should be set."
              )
  
          request = conversation_profile.GetConversationProfileRequest(request)
  
          # If we have keyword arguments corresponding to fields on the
          # request, apply these.
          if name is not None:
              request.name = name
  
          # Wrap the RPC method; this adds retry and timeout information,
          # and friendly error handling.
          rpc = gapic_v1.method_async.wrap_method(
              self._client._transport.get_conversation_profile,
              default_timeout=None,
              client_info=DEFAULT_CLIENT_INFO,
          )
  
          # Certain fields should be provided within the metadata header;
          # add these here.
          metadata = tuple(metadata) + (
              gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
          )
  
          # Send the request.
          response = await rpc(
              request,
              retry=retry,
              timeout=timeout,
              metadata=metadata,
          )
  
          # Done; return the response.
          return response
  
      async def create_conversation_profile(
          self,
          request: Union[
              gcd_conversation_profile.CreateConversationProfileRequest, dict
          ] = None,
          *,
          parent: str = None,
          conversation_profile: gcd_conversation_profile.ConversationProfile = None,
          retry: OptionalRetry = gapic_v1.method.DEFAULT,
          timeout: float = None,
          metadata: Sequence[Tuple[str, str]] = (),
      ) -> gcd_conversation_profile.ConversationProfile:
          r"""Creates a conversation profile in the specified project.
  
          [ConversationProfile.CreateTime][] and
          [ConversationProfile.UpdateTime][] aren't populated in the
          response. You can retrieve them via
          [GetConversationProfile][google.cloud.dialogflow.v2.ConversationProfiles.GetConversationProfile]
          API.
  
          .. code-block:: python
  
              from google.cloud import dialogflow_v2
  
              async def sample_create_conversation_profile():
                  # Create a client
                  client = dialogflow_v2.ConversationProfilesAsyncClient()
  
                  # Initialize request argument(s)
                  conversation_profile = dialogflow_v2.ConversationProfile()
                  conversation_profile.display_name = "display_name_value"
  
                  request = dialogflow_v2.CreateConversationProfileRequest(
                      parent="parent_value",
                      conversation_profile=conversation_profile,
                  )
  
                  # Make the request
                  response = await client.create_conversation_profile(request=request)
  
                  # Handle the response
                  print(response)
  
          Args:
              request (Union[google.cloud.dialogflow_v2.types.CreateConversationProfileRequest, dict]):
                  The request object. The request message for
                  [ConversationProfiles.CreateConversationProfile][google.cloud.dialogflow.v2.ConversationProfiles.CreateConversationProfile].
              parent (:class:`str`):
                  Required. The project to create a conversation profile
                  for. Format:
                  ``projects/<Project ID>/locations/<Location ID>``.
  
                  This corresponds to the ``parent`` field
                  on the ``request`` instance; if ``request`` is provided, this
                  should not be set.
              conversation_profile (:class:`google.cloud.dialogflow_v2.types.ConversationProfile`):
                  Required. The conversation profile to
                  create.
  
                  This corresponds to the ``conversation_profile`` field
                  on the ``request`` instance; if ``request`` is provided, this
                  should not be set.
              retry (google.api_core.retry.Retry): 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:
              google.cloud.dialogflow_v2.types.ConversationProfile:
                  Defines the services to connect to
                  incoming Dialogflow conversations.
  
          """
          # Create or coerce a protobuf request object.
          # Quick check: If we got a request object, we should *not* have
          # gotten any keyword arguments that map to the request.
          has_flattened_params = any([parent, conversation_profile])
          if request is not None and has_flattened_params:
              raise ValueError(
                  "If the `request` argument is set, then none of "
                  "the individual field arguments should be set."
              )
  
          request = gcd_conversation_profile.CreateConversationProfileRequest(request)
  
          # If we have keyword arguments corresponding to fields on the
          # request, apply these.
          if parent is not None:
              request.parent = parent
          if conversation_profile is not None:
              request.conversation_profile = conversation_profile
  
          # Wrap the RPC method; this adds retry and timeout information,
          # and friendly error handling.
          rpc = gapic_v1.method_async.wrap_method(
              self._client._transport.create_conversation_profile,
              default_timeout=None,
              client_info=DEFAULT_CLIENT_INFO,
          )
  
          # Certain fields should be provided within the metadata header;
          # add these here.
          metadata = tuple(metadata) + (
              gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
          )
  
          # Send the request.
          response = await rpc(
              request,
              retry=retry,
              timeout=timeout,
              metadata=metadata,
          )
  
          # Done; return the response.
          return response
  
      async def update_conversation_profile(
          self,
          request: Union[
              gcd_conversation_profile.UpdateConversationProfileRequest, dict
          ] = None,
          *,
          conversation_profile: gcd_conversation_profile.ConversationProfile = None,
          update_mask: field_mask_pb2.FieldMask = None,
          retry: OptionalRetry = gapic_v1.method.DEFAULT,
          timeout: float = None,
          metadata: Sequence[Tuple[str, str]] = (),
      ) -> gcd_conversation_profile.ConversationProfile:
          r"""Updates the specified conversation profile.
  
          [ConversationProfile.CreateTime][] and
          [ConversationProfile.UpdateTime][] aren't populated in the
          response. You can retrieve them via
          [GetConversationProfile][google.cloud.dialogflow.v2.ConversationProfiles.GetConversationProfile]
          API.
  
          .. code-block:: python
  
              from google.cloud import dialogflow_v2
  
              async def sample_update_conversation_profile():
                  # Create a client
                  client = dialogflow_v2.ConversationProfilesAsyncClient()
  
                  # Initialize request argument(s)
                  conversation_profile = dialogflow_v2.ConversationProfile()
                  conversation_profile.display_name = "display_name_value"
  
                  request = dialogflow_v2.UpdateConversationProfileRequest(
                      conversation_profile=conversation_profile,
                  )
  
                  # Make the request
                  response = await client.update_conversation_profile(request=request)
  
                  # Handle the response
                  print(response)
  
          Args:
              request (Union[google.cloud.dialogflow_v2.types.UpdateConversationProfileRequest, dict]):
                  The request object. The request message for
                  [ConversationProfiles.UpdateConversationProfile][google.cloud.dialogflow.v2.ConversationProfiles.UpdateConversationProfile].
              conversation_profile (:class:`google.cloud.dialogflow_v2.types.ConversationProfile`):
                  Required. The conversation profile to
                  update.
  
                  This corresponds to the ``conversation_profile`` field
                  on the ``request`` instance; if ``request`` is provided, this
                  should not be set.
              update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
                  Required. The mask to control which
                  fields to update.
  
                  This corresponds to the ``update_mask`` field
                  on the ``request`` instance; if ``request`` is provided, this
                  should not be set.
              retry (google.api_core.retry.Retry): 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:
              google.cloud.dialogflow_v2.types.ConversationProfile:
                  Defines the services to connect to
                  incoming Dialogflow conversations.
  
          """
          # Create or coerce a protobuf request object.
          # Quick check: If we got a request object, we should *not* have
          # gotten any keyword arguments that map to the request.
          has_flattened_params = any([conversation_profile, update_mask])
          if request is not None and has_flattened_params:
              raise ValueError(
                  "If the `request` argument is set, then none of "
                  "the individual field arguments should be set."
              )
  
          request = gcd_conversation_profile.UpdateConversationProfileRequest(request)
  
          # If we have keyword arguments corresponding to fields on the
          # request, apply these.
          if conversation_profile is not None:
              request.conversation_profile = conversation_profile
          if update_mask is not None:
              request.update_mask = update_mask
  
          # Wrap the RPC method; this adds retry and timeout information,
          # and friendly error handling.
          rpc = gapic_v1.method_async.wrap_method(
              self._client._transport.update_conversation_profile,
              default_timeout=None,
              client_info=DEFAULT_CLIENT_INFO,
          )
  
          # Certain fields should be provided within the metadata header;
          # add these here.
          metadata = tuple(metadata) + (
              gapic_v1.routing_header.to_grpc_metadata(
                  (("conversation_profile.name", request.conversation_profile.name),)
              ),
          )
  
          # Send the request.
          response = await rpc(
              request,
              retry=retry,
              timeout=timeout,
              metadata=metadata,
          )
  
          # Done; return the response.
          return response
  
      async def delete_conversation_profile(
          self,
          request: Union[
              conversation_profile.DeleteConversationProfileRequest, dict
          ] = None,
          *,
          name: str = None,
          retry: OptionalRetry = gapic_v1.method.DEFAULT,
          timeout: float = None,
          metadata: Sequence[Tuple[str, str]] = (),
      ) -> None:
          r"""Deletes the specified conversation profile.
  
          .. code-block:: python
  
              from google.cloud import dialogflow_v2
  
              async def sample_delete_conversation_profile():
                  # Create a client
                  client = dialogflow_v2.ConversationProfilesAsyncClient()
  
                  # Initialize request argument(s)
                  request = dialogflow_v2.DeleteConversationProfileRequest(
                      name="name_value",
                  )
  
                  # Make the request
                  await client.delete_conversation_profile(request=request)
  
          Args:
              request (Union[google.cloud.dialogflow_v2.types.DeleteConversationProfileRequest, dict]):
                  The request object. The request message for
                  [ConversationProfiles.DeleteConversationProfile][google.cloud.dialogflow.v2.ConversationProfiles.DeleteConversationProfile].
                  This operation fails if the conversation profile is
                  still referenced from a phone number.
              name (:class:`str`):
                  Required. The name of the conversation profile to
                  delete. Format:
                  ``projects/<Project ID>/locations/<Location ID>/conversationProfiles/<Conversation Profile ID>``.
  
                  This corresponds to the ``name`` field
                  on the ``request`` instance; if ``request`` is provided, this
                  should not be set.
              retry (google.api_core.retry.Retry): 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.
          """
          # Create or coerce a protobuf request object.
          # Quick check: If we got a request object, we should *not* have
          # gotten any keyword arguments that map to the request.
          has_flattened_params = any([name])
          if request is not None and has_flattened_params:
              raise ValueError(
                  "If the `request` argument is set, then none of "
                  "the individual field arguments should be set."
              )
  
          request = conversation_profile.DeleteConversationProfileRequest(request)
  
          # If we have keyword arguments corresponding to fields on the
          # request, apply these.
          if name is not None:
              request.name = name
  
          # Wrap the RPC method; this adds retry and timeout information,
          # and friendly error handling.
          rpc = gapic_v1.method_async.wrap_method(
              self._client._transport.delete_conversation_profile,
              default_timeout=None,
              client_info=DEFAULT_CLIENT_INFO,
          )
  
          # Certain fields should be provided within the metadata header;
          # add these here.
          metadata = tuple(metadata) + (
              gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
          )
  
          # Send the request.
          await rpc(
              request,
              retry=retry,
              timeout=timeout,
              metadata=metadata,
          )
  
      async def set_suggestion_feature_config(
          self,
          request: Union[
              gcd_conversation_profile.SetSuggestionFeatureConfigRequest, dict
          ] = None,
          *,
          conversation_profile: str = None,
          retry: OptionalRetry = gapic_v1.method.DEFAULT,
          timeout: float = None,
          metadata: Sequence[Tuple[str, str]] = (),
      ) -> operation_async.AsyncOperation:
          r"""Adds or updates a suggestion feature in a conversation profile.
          If the conversation profile contains the type of suggestion
          feature for the participant role, it will update it. Otherwise
          it will insert the suggestion feature.
  
          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``:
             [SetSuggestionFeatureConfigOperationMetadata][google.cloud.dialogflow.v2.SetSuggestionFeatureConfigOperationMetadata]
          -  ``response``:
             [ConversationProfile][google.cloud.dialogflow.v2.ConversationProfile]
  
          If a long running operation to add or update suggestion feature
          config for the same conversation profile, participant role and
          suggestion feature type exists, please cancel the existing long
          running operation before sending such request, otherwise the
          request will be rejected.
  
          .. code-block:: python
  
              from google.cloud import dialogflow_v2
  
              async def sample_set_suggestion_feature_config():
                  # Create a client
                  client = dialogflow_v2.ConversationProfilesAsyncClient()
  
                  # Initialize request argument(s)
                  request = dialogflow_v2.SetSuggestionFeatureConfigRequest(
                      conversation_profile="conversation_profile_value",
                      participant_role="END_USER",
                  )
  
                  # Make the request
                  operation = client.set_suggestion_feature_config(request=request)
  
                  print("Waiting for operation to complete...")
  
                  response = await operation.result()
  
                  # Handle the response
                  print(response)
  
          Args:
              request (Union[google.cloud.dialogflow_v2.types.SetSuggestionFeatureConfigRequest, dict]):
                  The request object. The request message for
                  [ConversationProfiles.SetSuggestionFeature][].
              conversation_profile (:class:`str`):
                  Required. The Conversation Profile to add or update the
                  suggestion feature config. Format:
                  ``projects/<Project ID>/locations/<Location ID>/conversationProfiles/<Conversation Profile ID>``.
  
                  This corresponds to the ``conversation_profile`` field
                  on the ``request`` instance; if ``request`` is provided, this
                  should not be set.
              retry (google.api_core.retry.Retry): 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:
              google.api_core.operation_async.AsyncOperation:
                  An object representing a long-running operation.
  
                  The result type for the operation will be
                  :class:`google.cloud.dialogflow_v2.types.ConversationProfile`
                  Defines the services to connect to incoming Dialogflow
                  conversations.
  
          """
          # Create or coerce a protobuf request object.
          # Quick check: If we got a request object, we should *not* have
          # gotten any keyword arguments that map to the request.
          has_flattened_params = any([conversation_profile])
          if request is not None and has_flattened_params:
              raise ValueError(
                  "If the `request` argument is set, then none of "
                  "the individual field arguments should be set."
              )
  
          request = gcd_conversation_profile.SetSuggestionFeatureConfigRequest(request)
  
          # If we have keyword arguments corresponding to fields on the
          # request, apply these.
          if conversation_profile is not None:
              request.conversation_profile = conversation_profile
  
          # Wrap the RPC method; this adds retry and timeout information,
          # and friendly error handling.
          rpc = gapic_v1.method_async.wrap_method(
              self._client._transport.set_suggestion_feature_config,
              default_timeout=None,
              client_info=DEFAULT_CLIENT_INFO,
          )
  
          # Certain fields should be provided within the metadata header;
          # add these here.
          metadata = tuple(metadata) + (
              gapic_v1.routing_header.to_grpc_metadata(
                  (("conversation_profile", request.conversation_profile),)
              ),
          )
  
          # Send the request.
          response = await rpc(
              request,
              retry=retry,
              timeout=timeout,
              metadata=metadata,
          )
  
          # Wrap the response in an operation future.
          response = operation_async.from_gapic(
              response,
              self._client._transport.operations_client,
              gcd_conversation_profile.ConversationProfile,
              metadata_type=gcd_conversation_profile.SetSuggestionFeatureConfigOperationMetadata,
          )
  
          # Done; return the response.
          return response
  
      async def clear_suggestion_feature_config(
          self,
          request: Union[
              gcd_conversation_profile.ClearSuggestionFeatureConfigRequest, dict
          ] = None,
          *,
          conversation_profile: str = None,
          retry: OptionalRetry = gapic_v1.method.DEFAULT,
          timeout: float = None,
          metadata: Sequence[Tuple[str, str]] = (),
      ) -> operation_async.AsyncOperation:
          r"""Clears a suggestion feature from a conversation profile for the
          given participant role.
  
          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``:
             [ClearSuggestionFeatureConfigOperationMetadata][google.cloud.dialogflow.v2.ClearSuggestionFeatureConfigOperationMetadata]
          -  ``response``:
             [ConversationProfile][google.cloud.dialogflow.v2.ConversationProfile]
  
          .. code-block:: python
  
              from google.cloud import dialogflow_v2
  
              async def sample_clear_suggestion_feature_config():
                  # Create a client
                  client = dialogflow_v2.ConversationProfilesAsyncClient()
  
                  # Initialize request argument(s)
                  request = dialogflow_v2.ClearSuggestionFeatureConfigRequest(
                      conversation_profile="conversation_profile_value",
                      participant_role="END_USER",
                      suggestion_feature_type="SMART_REPLY",
                  )
  
                  # Make the request
                  operation = client.clear_suggestion_feature_config(request=request)
  
                  print("Waiting for operation to complete...")
  
                  response = await operation.result()
  
                  # Handle the response
                  print(response)
  
          Args:
              request (Union[google.cloud.dialogflow_v2.types.ClearSuggestionFeatureConfigRequest, dict]):
                  The request object. The request message for
                  [ConversationProfiles.ClearFeature][].
              conversation_profile (:class:`str`):
                  Required. The Conversation Profile to add or update the
                  suggestion feature config. Format:
                  ``projects/<Project ID>/locations/<Location ID>/conversationProfiles/<Conversation Profile ID>``.
  
                  This corresponds to the ``conversation_profile`` field
                  on the ``request`` instance; if ``request`` is provided, this
                  should not be set.
              retry (google.api_core.retry.Retry): 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:
              google.api_core.operation_async.AsyncOperation:
                  An object representing a long-running operation.
  
                  The result type for the operation will be
                  :class:`google.cloud.dialogflow_v2.types.ConversationProfile`
                  Defines the services to connect to incoming Dialogflow
                  conversations.
  
          """
          # Create or coerce a protobuf request object.
          # Quick check: If we got a request object, we should *not* have
          # gotten any keyword arguments that map to the request.
          has_flattened_params = any([conversation_profile])
          if request is not None and has_flattened_params:
              raise ValueError(
                  "If the `request` argument is set, then none of "
                  "the individual field arguments should be set."
              )
  
          request = gcd_conversation_profile.ClearSuggestionFeatureConfigRequest(request)
  
          # If we have keyword arguments corresponding to fields on the
          # request, apply these.
          if conversation_profile is not None:
              request.conversation_profile = conversation_profile
  
          # Wrap the RPC method; this adds retry and timeout information,
          # and friendly error handling.
          rpc = gapic_v1.method_async.wrap_method(
              self._client._transport.clear_suggestion_feature_config,
              default_timeout=None,
              client_info=DEFAULT_CLIENT_INFO,
          )
  
          # Certain fields should be provided within the metadata header;
          # add these here.
          metadata = tuple(metadata) + (
              gapic_v1.routing_header.to_grpc_metadata(
                  (("conversation_profile", request.conversation_profile),)
              ),
          )
  
          # Send the request.
          response = await rpc(
              request,
              retry=retry,
              timeout=timeout,
              metadata=metadata,
          )
  
          # Wrap the response in an operation future.
          response = operation_async.from_gapic(
              response,
              self._client._transport.operations_client,
              gcd_conversation_profile.ConversationProfile,
              metadata_type=gcd_conversation_profile.ClearSuggestionFeatureConfigOperationMetadata,
          )
  
          # Done; return the response.
          return response
  
      async def __aenter__(self):
          return self
  
      async def __aexit__(self, exc_type, exc, tb):
          await self.transport.close()
  
  
  try:
      DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
          gapic_version=pkg_resources.get_distribution(
              "google-cloud-dialogflow",
          ).version,
      )
  except pkg_resources.DistributionNotFound:
      DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo()
  
  
  __all__ = ("ConversationProfilesAsyncClient",)
  