As of January 1, 2020 this library no longer supports Python 2 on the latest released version.
Library versions released prior to that date will continue to be available. For more information please
visit Python 2 support on Google Cloud.
Source code for google.cloud.dialogflow_v2beta1.services.participants.async_client
# -*- coding: utf-8 -*-
# Copyright 2024 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 re
from typing import (
AsyncIterable,
AsyncIterator,
Awaitable,
Callable,
Dict,
Mapping,
MutableMapping,
MutableSequence,
Optional,
Sequence,
Tuple,
Type,
Union,
)
import warnings
from google.api_core import exceptions as core_exceptions
from google.api_core import gapic_v1
from google.api_core import retry_async as retries
from google.api_core.client_options import ClientOptions
from google.auth import credentials as ga_credentials # type: ignore
from google.oauth2 import service_account # type: ignore
from google.cloud.dialogflow_v2beta1 import gapic_version as package_version
try:
OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None]
except AttributeError: # pragma: NO COVER
OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore
from google.cloud.location import locations_pb2 # type: ignore
from google.longrunning import operations_pb2 # type: ignore
from google.protobuf import field_mask_pb2 # type: ignore
from google.cloud.dialogflow_v2beta1.services.participants import pagers
from google.cloud.dialogflow_v2beta1.types import participant as gcd_participant
from google.cloud.dialogflow_v2beta1.types import participant
from google.cloud.dialogflow_v2beta1.types import session
from .client import ParticipantsClient
from .transports.base import DEFAULT_CLIENT_INFO, ParticipantsTransport
from .transports.grpc_asyncio import ParticipantsGrpcAsyncIOTransport
[docs]class ParticipantsAsyncClient:
"""Service for managing
[Participants][google.cloud.dialogflow.v2beta1.Participant].
"""
_client: ParticipantsClient
# Copy defaults from the synchronous client for use here.
# Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
DEFAULT_ENDPOINT = ParticipantsClient.DEFAULT_ENDPOINT
DEFAULT_MTLS_ENDPOINT = ParticipantsClient.DEFAULT_MTLS_ENDPOINT
_DEFAULT_ENDPOINT_TEMPLATE = ParticipantsClient._DEFAULT_ENDPOINT_TEMPLATE
_DEFAULT_UNIVERSE = ParticipantsClient._DEFAULT_UNIVERSE
answer_record_path = staticmethod(ParticipantsClient.answer_record_path)
parse_answer_record_path = staticmethod(ParticipantsClient.parse_answer_record_path)
context_path = staticmethod(ParticipantsClient.context_path)
parse_context_path = staticmethod(ParticipantsClient.parse_context_path)
document_path = staticmethod(ParticipantsClient.document_path)
parse_document_path = staticmethod(ParticipantsClient.parse_document_path)
intent_path = staticmethod(ParticipantsClient.intent_path)
parse_intent_path = staticmethod(ParticipantsClient.parse_intent_path)
message_path = staticmethod(ParticipantsClient.message_path)
parse_message_path = staticmethod(ParticipantsClient.parse_message_path)
participant_path = staticmethod(ParticipantsClient.participant_path)
parse_participant_path = staticmethod(ParticipantsClient.parse_participant_path)
phrase_set_path = staticmethod(ParticipantsClient.phrase_set_path)
parse_phrase_set_path = staticmethod(ParticipantsClient.parse_phrase_set_path)
session_entity_type_path = staticmethod(ParticipantsClient.session_entity_type_path)
parse_session_entity_type_path = staticmethod(
ParticipantsClient.parse_session_entity_type_path
)
common_billing_account_path = staticmethod(
ParticipantsClient.common_billing_account_path
)
parse_common_billing_account_path = staticmethod(
ParticipantsClient.parse_common_billing_account_path
)
common_folder_path = staticmethod(ParticipantsClient.common_folder_path)
parse_common_folder_path = staticmethod(ParticipantsClient.parse_common_folder_path)
common_organization_path = staticmethod(ParticipantsClient.common_organization_path)
parse_common_organization_path = staticmethod(
ParticipantsClient.parse_common_organization_path
)
common_project_path = staticmethod(ParticipantsClient.common_project_path)
parse_common_project_path = staticmethod(
ParticipantsClient.parse_common_project_path
)
common_location_path = staticmethod(ParticipantsClient.common_location_path)
parse_common_location_path = staticmethod(
ParticipantsClient.parse_common_location_path
)
[docs] @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:
ParticipantsAsyncClient: The constructed client.
"""
return ParticipantsClient.from_service_account_info.__func__(ParticipantsAsyncClient, info, *args, **kwargs) # type: ignore
[docs] @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:
ParticipantsAsyncClient: The constructed client.
"""
return ParticipantsClient.from_service_account_file.__func__(ParticipantsAsyncClient, filename, *args, **kwargs) # type: ignore
from_service_account_json = from_service_account_file
[docs] @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 variable 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 ParticipantsClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore
@property
def transport(self) -> ParticipantsTransport:
"""Returns the transport used by the client instance.
Returns:
ParticipantsTransport: The transport used by the client instance.
"""
return self._client.transport
@property
def api_endpoint(self):
"""Return the API endpoint used by the client instance.
Returns:
str: The API endpoint used by the client instance.
"""
return self._client._api_endpoint
@property
def universe_domain(self) -> str:
"""Return the universe domain used by the client instance.
Returns:
str: The universe domain used
by the client instance.
"""
return self._client._universe_domain
get_transport_class = ParticipantsClient.get_transport_class
def __init__(
self,
*,
credentials: Optional[ga_credentials.Credentials] = None,
transport: Optional[
Union[str, ParticipantsTransport, Callable[..., ParticipantsTransport]]
] = "grpc_asyncio",
client_options: Optional[ClientOptions] = None,
client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
) -> None:
"""Instantiates the participants async 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 (Optional[Union[str,ParticipantsTransport,Callable[..., ParticipantsTransport]]]):
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 ParticipantsTransport 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.
Raises:
google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
creation failed for any reason.
"""
self._client = ParticipantsClient(
credentials=credentials,
transport=transport,
client_options=client_options,
client_info=client_info,
)
[docs] async def create_participant(
self,
request: Optional[Union[gcd_participant.CreateParticipantRequest, dict]] = None,
*,
parent: Optional[str] = None,
participant: Optional[gcd_participant.Participant] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> gcd_participant.Participant:
r"""Creates a new participant in a conversation.
.. code-block:: python
# 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_v2beta1
async def sample_create_participant():
# Create a client
client = dialogflow_v2beta1.ParticipantsAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.CreateParticipantRequest(
parent="parent_value",
)
# Make the request
response = await client.create_participant(request=request)
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.dialogflow_v2beta1.types.CreateParticipantRequest, dict]]):
The request object. The request message for
[Participants.CreateParticipant][google.cloud.dialogflow.v2beta1.Participants.CreateParticipant].
parent (:class:`str`):
Required. Resource identifier of the conversation adding
the participant. Format:
``projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>``.
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
participant (:class:`google.cloud.dialogflow_v2beta1.types.Participant`):
Required. The participant to create.
This corresponds to the ``participant`` 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:
google.cloud.dialogflow_v2beta1.types.Participant:
Represents a conversation participant
(human agent, virtual agent, end-user).
"""
# 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, participant])
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."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, gcd_participant.CreateParticipantRequest):
request = gcd_participant.CreateParticipantRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if participant is not None:
request.participant = participant
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._client._transport._wrapped_methods[
self._client._transport.create_participant
]
# 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),)),
)
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def get_participant(
self,
request: Optional[Union[participant.GetParticipantRequest, dict]] = None,
*,
name: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> participant.Participant:
r"""Retrieves a conversation participant.
.. code-block:: python
# 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_v2beta1
async def sample_get_participant():
# Create a client
client = dialogflow_v2beta1.ParticipantsAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.GetParticipantRequest(
name="name_value",
)
# Make the request
response = await client.get_participant(request=request)
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.dialogflow_v2beta1.types.GetParticipantRequest, dict]]):
The request object. The request message for
[Participants.GetParticipant][google.cloud.dialogflow.v2beta1.Participants.GetParticipant].
name (:class:`str`):
Required. The name of the participant. Format:
``projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/participants/<Participant 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_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:
google.cloud.dialogflow_v2beta1.types.Participant:
Represents a conversation participant
(human agent, virtual agent, end-user).
"""
# 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."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, participant.GetParticipantRequest):
request = participant.GetParticipantRequest(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 = self._client._transport._wrapped_methods[
self._client._transport.get_participant
]
# 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),)),
)
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def list_participants(
self,
request: Optional[Union[participant.ListParticipantsRequest, dict]] = None,
*,
parent: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> pagers.ListParticipantsAsyncPager:
r"""Returns the list of all participants in the specified
conversation.
.. code-block:: python
# 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_v2beta1
async def sample_list_participants():
# Create a client
client = dialogflow_v2beta1.ParticipantsAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.ListParticipantsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_participants(request=request)
# Handle the response
async for response in page_result:
print(response)
Args:
request (Optional[Union[google.cloud.dialogflow_v2beta1.types.ListParticipantsRequest, dict]]):
The request object. The request message for
[Participants.ListParticipants][google.cloud.dialogflow.v2beta1.Participants.ListParticipants].
parent (:class:`str`):
Required. The conversation to list all participants
from. Format:
``projects/<Project ID>/locations/<Location ID>/conversations/<Conversation 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_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:
google.cloud.dialogflow_v2beta1.services.participants.pagers.ListParticipantsAsyncPager:
The response message for
[Participants.ListParticipants][google.cloud.dialogflow.v2beta1.Participants.ListParticipants].
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."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, participant.ListParticipantsRequest):
request = participant.ListParticipantsRequest(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 = self._client._transport._wrapped_methods[
self._client._transport.list_participants
]
# 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),)),
)
# Validate the universe domain.
self._client._validate_universe_domain()
# 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.ListParticipantsAsyncPager(
method=rpc,
request=request,
response=response,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def update_participant(
self,
request: Optional[Union[gcd_participant.UpdateParticipantRequest, dict]] = None,
*,
participant: Optional[gcd_participant.Participant] = None,
update_mask: Optional[field_mask_pb2.FieldMask] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> gcd_participant.Participant:
r"""Updates the specified participant.
.. code-block:: python
# 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_v2beta1
async def sample_update_participant():
# Create a client
client = dialogflow_v2beta1.ParticipantsAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.UpdateParticipantRequest(
)
# Make the request
response = await client.update_participant(request=request)
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.dialogflow_v2beta1.types.UpdateParticipantRequest, dict]]):
The request object. The request message for
[Participants.UpdateParticipant][google.cloud.dialogflow.v2beta1.Participants.UpdateParticipant].
participant (:class:`google.cloud.dialogflow_v2beta1.types.Participant`):
Required. The participant to update.
This corresponds to the ``participant`` 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 specify 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_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:
google.cloud.dialogflow_v2beta1.types.Participant:
Represents a conversation participant
(human agent, virtual agent, end-user).
"""
# 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([participant, 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."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, gcd_participant.UpdateParticipantRequest):
request = gcd_participant.UpdateParticipantRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if participant is not None:
request.participant = participant
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 = self._client._transport._wrapped_methods[
self._client._transport.update_participant
]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata(
(("participant.name", request.participant.name),)
),
)
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def analyze_content(
self,
request: Optional[Union[gcd_participant.AnalyzeContentRequest, dict]] = None,
*,
participant: Optional[str] = None,
text_input: Optional[session.TextInput] = None,
audio_input: Optional[gcd_participant.AudioInput] = None,
event_input: Optional[session.EventInput] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> gcd_participant.AnalyzeContentResponse:
r"""Adds a text (chat, for example), or audio (phone recording, for
example) message from a participant into the conversation.
Note: Always use agent versions for production traffic sent to
virtual agents. See `Versions and
environments <https://cloud.google.com/dialogflow/es/docs/agents-versions>`__.
.. code-block:: python
# 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_v2beta1
async def sample_analyze_content():
# Create a client
client = dialogflow_v2beta1.ParticipantsAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.AnalyzeContentRequest(
participant="participant_value",
)
# Make the request
response = await client.analyze_content(request=request)
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.dialogflow_v2beta1.types.AnalyzeContentRequest, dict]]):
The request object. The request message for
[Participants.AnalyzeContent][google.cloud.dialogflow.v2beta1.Participants.AnalyzeContent].
participant (:class:`str`):
Required. The name of the participant this text comes
from. Format:
``projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/participants/<Participant ID>``.
This corresponds to the ``participant`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
text_input (:class:`google.cloud.dialogflow_v2beta1.types.TextInput`):
The natural language text to be
processed.
This corresponds to the ``text_input`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
audio_input (:class:`google.cloud.dialogflow_v2beta1.types.AudioInput`):
The natural language speech audio to
be processed.
This corresponds to the ``audio_input`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
event_input (:class:`google.cloud.dialogflow_v2beta1.types.EventInput`):
An input event to send to Dialogflow.
This corresponds to the ``event_input`` 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:
google.cloud.dialogflow_v2beta1.types.AnalyzeContentResponse:
The response message for
[Participants.AnalyzeContent][google.cloud.dialogflow.v2beta1.Participants.AnalyzeContent].
"""
# 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([participant, text_input, audio_input, event_input])
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."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, gcd_participant.AnalyzeContentRequest):
request = gcd_participant.AnalyzeContentRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if participant is not None:
request.participant = participant
if text_input is not None:
request.text_input = text_input
if audio_input is not None:
request.audio_input = audio_input
if event_input is not None:
request.event_input = event_input
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._client._transport._wrapped_methods[
self._client._transport.analyze_content
]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata(
(("participant", request.participant),)
),
)
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def streaming_analyze_content(
self,
requests: Optional[
AsyncIterator[participant.StreamingAnalyzeContentRequest]
] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> Awaitable[AsyncIterable[participant.StreamingAnalyzeContentResponse]]:
r"""Adds a text (e.g., chat) or audio (e.g., phone recording)
message from a participant into the conversation. Note: This
method is only available through the gRPC API (not REST).
The top-level message sent to the client by the server is
``StreamingAnalyzeContentResponse``. Multiple response messages
can be returned in order. The first one or more messages contain
the ``recognition_result`` field. Each result represents a more
complete transcript of what the user said. The next message
contains the ``reply_text`` field, and potentially the
``reply_audio`` and/or the ``automated_agent_reply`` fields.
Note: Always use agent versions for production traffic sent to
virtual agents. See `Versions and
environments <https://cloud.google.com/dialogflow/es/docs/agents-versions>`__.
.. code-block:: python
# 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_v2beta1
async def sample_streaming_analyze_content():
# Create a client
client = dialogflow_v2beta1.ParticipantsAsyncClient()
# Initialize request argument(s)
audio_config = dialogflow_v2beta1.InputAudioConfig()
audio_config.audio_encoding = "AUDIO_ENCODING_ALAW"
audio_config.sample_rate_hertz = 1817
audio_config.language_code = "language_code_value"
request = dialogflow_v2beta1.StreamingAnalyzeContentRequest(
audio_config=audio_config,
input_audio=b'input_audio_blob',
participant="participant_value",
)
# This method expects an iterator which contains
# 'dialogflow_v2beta1.StreamingAnalyzeContentRequest' objects
# Here we create a generator that yields a single `request` for
# demonstrative purposes.
requests = [request]
def request_generator():
for request in requests:
yield request
# Make the request
stream = await client.streaming_analyze_content(requests=request_generator())
# Handle the response
async for response in stream:
print(response)
Args:
requests (AsyncIterator[`google.cloud.dialogflow_v2beta1.types.StreamingAnalyzeContentRequest`]):
The request object AsyncIterator. The top-level message sent by the client to the
[Participants.StreamingAnalyzeContent][google.cloud.dialogflow.v2beta1.Participants.StreamingAnalyzeContent]
method.
Multiple request messages should be sent in order:
1. The first message must contain
[participant][google.cloud.dialogflow.v2beta1.StreamingAnalyzeContentRequest.participant],
[config][google.cloud.dialogflow.v2beta1.StreamingAnalyzeContentRequest.config]
and optionally
[query_params][google.cloud.dialogflow.v2beta1.StreamingAnalyzeContentRequest.query_params].
If you want to receive an audio response, it should
also contain
[reply_audio_config][google.cloud.dialogflow.v2beta1.StreamingAnalyzeContentRequest.reply_audio_config].
The message must not contain
[input][google.cloud.dialogflow.v2beta1.StreamingAnalyzeContentRequest.input].
2. If
[config][google.cloud.dialogflow.v2beta1.StreamingAnalyzeContentRequest.config]
in the first message was set to
[audio_config][google.cloud.dialogflow.v2beta1.StreamingAnalyzeContentRequest.audio_config],
all subsequent messages must contain
[input_audio][google.cloud.dialogflow.v2beta1.StreamingAnalyzeContentRequest.input_audio]
to continue with Speech recognition. If you decide to
rather analyze text input after you already started
Speech recognition, please send a message with
[StreamingAnalyzeContentRequest.input_text][google.cloud.dialogflow.v2beta1.StreamingAnalyzeContentRequest.input_text].
However, note that:
- Dialogflow will bill you for the audio so far.
- Dialogflow discards all Speech recognition results
in favor of the text input.
3. If
[StreamingAnalyzeContentRequest.config][google.cloud.dialogflow.v2beta1.StreamingAnalyzeContentRequest.config]
in the first message was set to
[StreamingAnalyzeContentRequest.text_config][google.cloud.dialogflow.v2beta1.StreamingAnalyzeContentRequest.text_config],
then the second message must contain only
[input_text][google.cloud.dialogflow.v2beta1.StreamingAnalyzeContentRequest.input_text].
Moreover, you must not send more than two messages.
After you sent all input, you must half-close or abort
the request stream.
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:
AsyncIterable[google.cloud.dialogflow_v2beta1.types.StreamingAnalyzeContentResponse]:
The top-level message returned from the
StreamingAnalyzeContent method.
Multiple response messages can be returned in order:
1. If the input was set to streaming audio, the first
one or more messages contain recognition_result.
Each recognition_result represents a more complete
transcript of what the user said. The last
recognition_result has is_final set to true.
2. In virtual agent stage: if
enable_partial_automated_agent_reply is true, the
following N (currently 1 <= N <= 4) messages
contain automated_agent_reply and optionally
reply_audio returned by the virtual agent. The
first (N-1) automated_agent_replys will have
automated_agent_reply_type set to PARTIAL. The
last automated_agent_reply has
automated_agent_reply_type set to FINAL. If
enable_partial_automated_agent_reply is not
enabled, response stream only contains the final
reply.
In human assist stage: the following N (N >= 1)
messages contain human_agent_suggestion_results,
end_user_suggestion_results or message.
"""
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._client._transport._wrapped_methods[
self._client._transport.streaming_analyze_content
]
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = rpc(
requests,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def suggest_articles(
self,
request: Optional[Union[participant.SuggestArticlesRequest, dict]] = None,
*,
parent: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> participant.SuggestArticlesResponse:
r"""Gets suggested articles for a participant based on specific
historical messages.
Note that
[ListSuggestions][google.cloud.dialogflow.v2beta1.Participants.ListSuggestions]
will only list the auto-generated suggestions, while
[CompileSuggestion][google.cloud.dialogflow.v2beta1.Participants.CompileSuggestion]
will try to compile suggestion based on the provided
conversation context in the real time.
.. code-block:: python
# 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_v2beta1
async def sample_suggest_articles():
# Create a client
client = dialogflow_v2beta1.ParticipantsAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.SuggestArticlesRequest(
parent="parent_value",
)
# Make the request
response = await client.suggest_articles(request=request)
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.dialogflow_v2beta1.types.SuggestArticlesRequest, dict]]):
The request object. The request message for
[Participants.SuggestArticles][google.cloud.dialogflow.v2beta1.Participants.SuggestArticles].
parent (:class:`str`):
Required. The name of the participant to fetch
suggestion for. Format:
``projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/participants/<Participant 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_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:
google.cloud.dialogflow_v2beta1.types.SuggestArticlesResponse:
The response message for
[Participants.SuggestArticles][google.cloud.dialogflow.v2beta1.Participants.SuggestArticles].
"""
# 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."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, participant.SuggestArticlesRequest):
request = participant.SuggestArticlesRequest(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 = self._client._transport._wrapped_methods[
self._client._transport.suggest_articles
]
# 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),)),
)
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def suggest_faq_answers(
self,
request: Optional[Union[participant.SuggestFaqAnswersRequest, dict]] = None,
*,
parent: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> participant.SuggestFaqAnswersResponse:
r"""Gets suggested faq answers for a participant based on
specific historical messages.
.. code-block:: python
# 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_v2beta1
async def sample_suggest_faq_answers():
# Create a client
client = dialogflow_v2beta1.ParticipantsAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.SuggestFaqAnswersRequest(
parent="parent_value",
)
# Make the request
response = await client.suggest_faq_answers(request=request)
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.dialogflow_v2beta1.types.SuggestFaqAnswersRequest, dict]]):
The request object. The request message for
[Participants.SuggestFaqAnswers][google.cloud.dialogflow.v2beta1.Participants.SuggestFaqAnswers].
parent (:class:`str`):
Required. The name of the participant to fetch
suggestion for. Format:
``projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/participants/<Participant 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_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:
google.cloud.dialogflow_v2beta1.types.SuggestFaqAnswersResponse:
The request message for
[Participants.SuggestFaqAnswers][google.cloud.dialogflow.v2beta1.Participants.SuggestFaqAnswers].
"""
# 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."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, participant.SuggestFaqAnswersRequest):
request = participant.SuggestFaqAnswersRequest(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 = self._client._transport._wrapped_methods[
self._client._transport.suggest_faq_answers
]
# 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),)),
)
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def suggest_smart_replies(
self,
request: Optional[Union[participant.SuggestSmartRepliesRequest, dict]] = None,
*,
parent: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> participant.SuggestSmartRepliesResponse:
r"""Gets smart replies for a participant based on
specific historical messages.
.. code-block:: python
# 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_v2beta1
async def sample_suggest_smart_replies():
# Create a client
client = dialogflow_v2beta1.ParticipantsAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.SuggestSmartRepliesRequest(
parent="parent_value",
)
# Make the request
response = await client.suggest_smart_replies(request=request)
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.dialogflow_v2beta1.types.SuggestSmartRepliesRequest, dict]]):
The request object. The request message for
[Participants.SuggestSmartReplies][google.cloud.dialogflow.v2beta1.Participants.SuggestSmartReplies].
parent (:class:`str`):
Required. The name of the participant to fetch
suggestion for. Format:
``projects/<Project ID>/locations/<Location ID>/conversations/<Conversation ID>/participants/<Participant 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_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:
google.cloud.dialogflow_v2beta1.types.SuggestSmartRepliesResponse:
The response message for
[Participants.SuggestSmartReplies][google.cloud.dialogflow.v2beta1.Participants.SuggestSmartReplies].
"""
# 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."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, participant.SuggestSmartRepliesRequest):
request = participant.SuggestSmartRepliesRequest(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 = self._client._transport._wrapped_methods[
self._client._transport.suggest_smart_replies
]
# 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),)),
)
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def suggest_knowledge_assist(
self,
request: Optional[
Union[participant.SuggestKnowledgeAssistRequest, dict]
] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> participant.SuggestKnowledgeAssistResponse:
r"""Gets knowledge assist suggestions based on historical
messages.
.. code-block:: python
# 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_v2beta1
async def sample_suggest_knowledge_assist():
# Create a client
client = dialogflow_v2beta1.ParticipantsAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.SuggestKnowledgeAssistRequest(
parent="parent_value",
)
# Make the request
response = await client.suggest_knowledge_assist(request=request)
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.dialogflow_v2beta1.types.SuggestKnowledgeAssistRequest, dict]]):
The request object. The request message for
[Participants.SuggestKnowledgeAssist][google.cloud.dialogflow.v2beta1.Participants.SuggestKnowledgeAssist].
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:
google.cloud.dialogflow_v2beta1.types.SuggestKnowledgeAssistResponse:
The response message for
[Participants.SuggestKnowledgeAssist][google.cloud.dialogflow.v2beta1.Participants.SuggestKnowledgeAssist].
"""
# Create or coerce a protobuf request object.
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, participant.SuggestKnowledgeAssistRequest):
request = participant.SuggestKnowledgeAssistRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._client._transport._wrapped_methods[
self._client._transport.suggest_knowledge_assist
]
# 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),)),
)
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def list_suggestions(
self,
request: Optional[Union[participant.ListSuggestionsRequest, dict]] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> pagers.ListSuggestionsAsyncPager:
r"""Deprecated: Use inline suggestion, event based suggestion or
Suggestion\* API instead. See
[HumanAgentAssistantConfig.name][google.cloud.dialogflow.v2beta1.HumanAgentAssistantConfig.name]
for more details. Removal Date: 2020-09-01.
Retrieves suggestions for live agents.
This method should be used by human agent client software to
fetch auto generated suggestions in real-time, while the
conversation with an end user is in progress. The functionality
is implemented in terms of the `list
pagination <https://cloud.google.com/apis/design/design_patterns#list_pagination>`__
design pattern. The client app should use the
``next_page_token`` field to fetch the next batch of
suggestions. ``suggestions`` are sorted by ``create_time`` in
descending order. To fetch latest suggestion, just set
``page_size`` to 1. To fetch new suggestions without
duplication, send request with filter
``create_time_epoch_microseconds > [first item's create_time of previous request]``
and empty page_token.
.. code-block:: python
# 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_v2beta1
async def sample_list_suggestions():
# Create a client
client = dialogflow_v2beta1.ParticipantsAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.ListSuggestionsRequest(
)
# Make the request
page_result = client.list_suggestions(request=request)
# Handle the response
async for response in page_result:
print(response)
Args:
request (Optional[Union[google.cloud.dialogflow_v2beta1.types.ListSuggestionsRequest, dict]]):
The request object. The request message for
[Participants.ListSuggestions][google.cloud.dialogflow.v2beta1.Participants.ListSuggestions].
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:
google.cloud.dialogflow_v2beta1.services.participants.pagers.ListSuggestionsAsyncPager:
The response message for
[Participants.ListSuggestions][google.cloud.dialogflow.v2beta1.Participants.ListSuggestions].
Iterating over this object will yield results and
resolve additional pages automatically.
"""
warnings.warn(
"ParticipantsAsyncClient.list_suggestions is deprecated", DeprecationWarning
)
# Create or coerce a protobuf request object.
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, participant.ListSuggestionsRequest):
request = participant.ListSuggestionsRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._client._transport._wrapped_methods[
self._client._transport.list_suggestions
]
# 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),)),
)
# Validate the universe domain.
self._client._validate_universe_domain()
# 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.ListSuggestionsAsyncPager(
method=rpc,
request=request,
response=response,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def compile_suggestion(
self,
request: Optional[Union[participant.CompileSuggestionRequest, dict]] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> participant.CompileSuggestionResponse:
r"""Deprecated. use
[SuggestArticles][google.cloud.dialogflow.v2beta1.Participants.SuggestArticles]
and
[SuggestFaqAnswers][google.cloud.dialogflow.v2beta1.Participants.SuggestFaqAnswers]
instead.
Gets suggestions for a participant based on specific historical
messages.
Note that
[ListSuggestions][google.cloud.dialogflow.v2beta1.Participants.ListSuggestions]
will only list the auto-generated suggestions, while
[CompileSuggestion][google.cloud.dialogflow.v2beta1.Participants.CompileSuggestion]
will try to compile suggestion based on the provided
conversation context in the real time.
.. code-block:: python
# 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_v2beta1
async def sample_compile_suggestion():
# Create a client
client = dialogflow_v2beta1.ParticipantsAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2beta1.CompileSuggestionRequest(
)
# Make the request
response = await client.compile_suggestion(request=request)
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.dialogflow_v2beta1.types.CompileSuggestionRequest, dict]]):
The request object. The request message for
[Participants.CompileSuggestion][google.cloud.dialogflow.v2beta1.Participants.CompileSuggestion].
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:
google.cloud.dialogflow_v2beta1.types.CompileSuggestionResponse:
The response message for
[Participants.CompileSuggestion][google.cloud.dialogflow.v2beta1.Participants.CompileSuggestion].
"""
warnings.warn(
"ParticipantsAsyncClient.compile_suggestion is deprecated",
DeprecationWarning,
)
# Create or coerce a protobuf request object.
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, participant.CompileSuggestionRequest):
request = participant.CompileSuggestionRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._client._transport._wrapped_methods[
self._client._transport.compile_suggestion
]
# 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),)),
)
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def list_operations(
self,
request: Optional[operations_pb2.ListOperationsRequest] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> operations_pb2.ListOperationsResponse:
r"""Lists operations that match the specified filter in the request.
Args:
request (:class:`~.operations_pb2.ListOperationsRequest`):
The request object. Request message for
`ListOperations` 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.
Returns:
~.operations_pb2.ListOperationsResponse:
Response message for ``ListOperations`` method.
"""
# Create or coerce a protobuf request object.
# The request isn't a proto-plus wrapped type,
# so it must be constructed via keyword expansion.
if isinstance(request, dict):
request = operations_pb2.ListOperationsRequest(**request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self.transport._wrapped_methods[self._client._transport.list_operations]
# 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),)),
)
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def get_operation(
self,
request: Optional[operations_pb2.GetOperationRequest] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> operations_pb2.Operation:
r"""Gets the latest state of a long-running operation.
Args:
request (:class:`~.operations_pb2.GetOperationRequest`):
The request object. Request message for
`GetOperation` 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.
Returns:
~.operations_pb2.Operation:
An ``Operation`` object.
"""
# Create or coerce a protobuf request object.
# The request isn't a proto-plus wrapped type,
# so it must be constructed via keyword expansion.
if isinstance(request, dict):
request = operations_pb2.GetOperationRequest(**request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self.transport._wrapped_methods[self._client._transport.get_operation]
# 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),)),
)
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def cancel_operation(
self,
request: Optional[operations_pb2.CancelOperationRequest] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> None:
r"""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`.
Args:
request (:class:`~.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.
Returns:
None
"""
# Create or coerce a protobuf request object.
# The request isn't a proto-plus wrapped type,
# so it must be constructed via keyword expansion.
if isinstance(request, dict):
request = operations_pb2.CancelOperationRequest(**request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation]
# 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),)),
)
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
[docs] async def get_location(
self,
request: Optional[locations_pb2.GetLocationRequest] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> locations_pb2.Location:
r"""Gets information about a location.
Args:
request (:class:`~.location_pb2.GetLocationRequest`):
The request object. Request message for
`GetLocation` 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.
Returns:
~.location_pb2.Location:
Location object.
"""
# Create or coerce a protobuf request object.
# The request isn't a proto-plus wrapped type,
# so it must be constructed via keyword expansion.
if isinstance(request, dict):
request = locations_pb2.GetLocationRequest(**request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self.transport._wrapped_methods[self._client._transport.get_location]
# 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),)),
)
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def list_locations(
self,
request: Optional[locations_pb2.ListLocationsRequest] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> locations_pb2.ListLocationsResponse:
r"""Lists information about the supported locations for this service.
Args:
request (:class:`~.location_pb2.ListLocationsRequest`):
The request object. Request message for
`ListLocations` 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.
Returns:
~.location_pb2.ListLocationsResponse:
Response message for ``ListLocations`` method.
"""
# Create or coerce a protobuf request object.
# The request isn't a proto-plus wrapped type,
# so it must be constructed via keyword expansion.
if isinstance(request, dict):
request = locations_pb2.ListLocationsRequest(**request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self.transport._wrapped_methods[self._client._transport.list_locations]
# 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),)),
)
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
async def __aenter__(self) -> "ParticipantsAsyncClient":
return self
async def __aexit__(self, exc_type, exc, tb):
await self.transport.close()
DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
gapic_version=package_version.__version__
)
__all__ = ("ParticipantsAsyncClient",)
