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_v2.services.conversation_datasets.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 (
Callable,
Dict,
Mapping,
MutableMapping,
MutableSequence,
Optional,
Sequence,
Tuple,
Type,
Union,
)
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_v2 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.api_core import operation # type: ignore
from google.api_core import operation_async # type: ignore
from google.cloud.location import locations_pb2 # type: ignore
from google.longrunning import operations_pb2 # type: ignore
from google.protobuf import empty_pb2 # type: ignore
from google.protobuf import timestamp_pb2 # type: ignore
from google.cloud.dialogflow_v2.services.conversation_datasets import pagers
from google.cloud.dialogflow_v2.types import (
conversation_dataset as gcd_conversation_dataset,
)
from google.cloud.dialogflow_v2.types import conversation_dataset
from .client import ConversationDatasetsClient
from .transports.base import DEFAULT_CLIENT_INFO, ConversationDatasetsTransport
from .transports.grpc_asyncio import ConversationDatasetsGrpcAsyncIOTransport
[docs]class ConversationDatasetsAsyncClient:
"""Conversation datasets.
Conversation datasets contain raw conversation files and their
customizable metadata that can be used for model training.
"""
_client: ConversationDatasetsClient
# Copy defaults from the synchronous client for use here.
# Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
DEFAULT_ENDPOINT = ConversationDatasetsClient.DEFAULT_ENDPOINT
DEFAULT_MTLS_ENDPOINT = ConversationDatasetsClient.DEFAULT_MTLS_ENDPOINT
_DEFAULT_ENDPOINT_TEMPLATE = ConversationDatasetsClient._DEFAULT_ENDPOINT_TEMPLATE
_DEFAULT_UNIVERSE = ConversationDatasetsClient._DEFAULT_UNIVERSE
conversation_dataset_path = staticmethod(
ConversationDatasetsClient.conversation_dataset_path
)
parse_conversation_dataset_path = staticmethod(
ConversationDatasetsClient.parse_conversation_dataset_path
)
common_billing_account_path = staticmethod(
ConversationDatasetsClient.common_billing_account_path
)
parse_common_billing_account_path = staticmethod(
ConversationDatasetsClient.parse_common_billing_account_path
)
common_folder_path = staticmethod(ConversationDatasetsClient.common_folder_path)
parse_common_folder_path = staticmethod(
ConversationDatasetsClient.parse_common_folder_path
)
common_organization_path = staticmethod(
ConversationDatasetsClient.common_organization_path
)
parse_common_organization_path = staticmethod(
ConversationDatasetsClient.parse_common_organization_path
)
common_project_path = staticmethod(ConversationDatasetsClient.common_project_path)
parse_common_project_path = staticmethod(
ConversationDatasetsClient.parse_common_project_path
)
common_location_path = staticmethod(ConversationDatasetsClient.common_location_path)
parse_common_location_path = staticmethod(
ConversationDatasetsClient.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:
ConversationDatasetsAsyncClient: The constructed client.
"""
return ConversationDatasetsClient.from_service_account_info.__func__(ConversationDatasetsAsyncClient, 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:
ConversationDatasetsAsyncClient: The constructed client.
"""
return ConversationDatasetsClient.from_service_account_file.__func__(ConversationDatasetsAsyncClient, 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 ConversationDatasetsClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore
@property
def transport(self) -> ConversationDatasetsTransport:
"""Returns the transport used by the client instance.
Returns:
ConversationDatasetsTransport: 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 = ConversationDatasetsClient.get_transport_class
def __init__(
self,
*,
credentials: Optional[ga_credentials.Credentials] = None,
transport: Optional[
Union[
str,
ConversationDatasetsTransport,
Callable[..., ConversationDatasetsTransport],
]
] = "grpc_asyncio",
client_options: Optional[ClientOptions] = None,
client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
) -> None:
"""Instantiates the conversation datasets 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,ConversationDatasetsTransport,Callable[..., ConversationDatasetsTransport]]]):
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 ConversationDatasetsTransport 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 = ConversationDatasetsClient(
credentials=credentials,
transport=transport,
client_options=client_options,
client_info=client_info,
)
[docs] async def create_conversation_dataset(
self,
request: Optional[
Union[gcd_conversation_dataset.CreateConversationDatasetRequest, dict]
] = None,
*,
parent: Optional[str] = None,
conversation_dataset: Optional[
gcd_conversation_dataset.ConversationDataset
] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> operation_async.AsyncOperation:
r"""Creates a new conversation dataset.
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``:
[CreateConversationDatasetOperationMetadata][google.cloud.dialogflow.v2.CreateConversationDatasetOperationMetadata]
- ``response``:
[ConversationDataset][google.cloud.dialogflow.v2.ConversationDataset]
.. 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_v2
async def sample_create_conversation_dataset():
# Create a client
client = dialogflow_v2.ConversationDatasetsAsyncClient()
# Initialize request argument(s)
conversation_dataset = dialogflow_v2.ConversationDataset()
conversation_dataset.display_name = "display_name_value"
request = dialogflow_v2.CreateConversationDatasetRequest(
parent="parent_value",
conversation_dataset=conversation_dataset,
)
# Make the request
operation = client.create_conversation_dataset(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.dialogflow_v2.types.CreateConversationDatasetRequest, dict]]):
The request object. The request message for
[ConversationDatasets.CreateConversationDataset][google.cloud.dialogflow.v2.ConversationDatasets.CreateConversationDataset].
parent (:class:`str`):
Required. The project to create conversation dataset
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_dataset (:class:`google.cloud.dialogflow_v2.types.ConversationDataset`):
Required. The conversation dataset to
create.
This corresponds to the ``conversation_dataset`` 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.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.ConversationDataset` Represents a conversation dataset that a user imports raw data into.
The data inside ConversationDataset can not be
changed after ImportConversationData finishes (and
calling ImportConversationData on a dataset that
already has data is not allowed).
"""
# 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_dataset])
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_conversation_dataset.CreateConversationDatasetRequest
):
request = gcd_conversation_dataset.CreateConversationDatasetRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if conversation_dataset is not None:
request.conversation_dataset = conversation_dataset
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._client._transport._wrapped_methods[
self._client._transport.create_conversation_dataset
]
# 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,
)
# Wrap the response in an operation future.
response = operation_async.from_gapic(
response,
self._client._transport.operations_client,
gcd_conversation_dataset.ConversationDataset,
metadata_type=gcd_conversation_dataset.CreateConversationDatasetOperationMetadata,
)
# Done; return the response.
return response
[docs] async def get_conversation_dataset(
self,
request: Optional[
Union[conversation_dataset.GetConversationDatasetRequest, 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]] = (),
) -> conversation_dataset.ConversationDataset:
r"""Retrieves the specified conversation dataset.
.. 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_v2
async def sample_get_conversation_dataset():
# Create a client
client = dialogflow_v2.ConversationDatasetsAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2.GetConversationDatasetRequest(
name="name_value",
)
# Make the request
response = await client.get_conversation_dataset(request=request)
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.dialogflow_v2.types.GetConversationDatasetRequest, dict]]):
The request object. The request message for
[ConversationDatasets.GetConversationDataset][google.cloud.dialogflow.v2.ConversationDatasets.GetConversationDataset].
name (:class:`str`):
Required. The conversation dataset to retrieve. Format:
``projects/<Project ID>/locations/<Location ID>/conversationDatasets/<Conversation Dataset 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_v2.types.ConversationDataset:
Represents a conversation dataset
that a user imports raw data into. The
data inside ConversationDataset can not
be changed after ImportConversationData
finishes (and calling
ImportConversationData on a dataset that
already has data is not allowed).
"""
# 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, conversation_dataset.GetConversationDatasetRequest):
request = conversation_dataset.GetConversationDatasetRequest(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_conversation_dataset
]
# 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_conversation_datasets(
self,
request: Optional[
Union[conversation_dataset.ListConversationDatasetsRequest, 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.ListConversationDatasetsAsyncPager:
r"""Returns the list of all conversation datasets in the
specified project and location.
.. 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_v2
async def sample_list_conversation_datasets():
# Create a client
client = dialogflow_v2.ConversationDatasetsAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2.ListConversationDatasetsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_conversation_datasets(request=request)
# Handle the response
async for response in page_result:
print(response)
Args:
request (Optional[Union[google.cloud.dialogflow_v2.types.ListConversationDatasetsRequest, dict]]):
The request object. The request message for
[ConversationDatasets.ListConversationDatasets][google.cloud.dialogflow.v2.ConversationDatasets.ListConversationDatasets].
parent (:class:`str`):
Required. The project and location name to list all
conversation datasets 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.
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_v2.services.conversation_datasets.pagers.ListConversationDatasetsAsyncPager:
The response message for
[ConversationDatasets.ListConversationDatasets][google.cloud.dialogflow.v2.ConversationDatasets.ListConversationDatasets].
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, conversation_dataset.ListConversationDatasetsRequest
):
request = conversation_dataset.ListConversationDatasetsRequest(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_conversation_datasets
]
# 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.ListConversationDatasetsAsyncPager(
method=rpc,
request=request,
response=response,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def delete_conversation_dataset(
self,
request: Optional[
Union[conversation_dataset.DeleteConversationDatasetRequest, 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]] = (),
) -> operation_async.AsyncOperation:
r"""Deletes the specified conversation dataset.
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``:
[DeleteConversationDatasetOperationMetadata][google.cloud.dialogflow.v2.DeleteConversationDatasetOperationMetadata]
- ``response``: An `Empty
message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty>`__
.. 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_v2
async def sample_delete_conversation_dataset():
# Create a client
client = dialogflow_v2.ConversationDatasetsAsyncClient()
# Initialize request argument(s)
request = dialogflow_v2.DeleteConversationDatasetRequest(
name="name_value",
)
# Make the request
operation = client.delete_conversation_dataset(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.dialogflow_v2.types.DeleteConversationDatasetRequest, dict]]):
The request object. The request message for
[ConversationDatasets.DeleteConversationDataset][google.cloud.dialogflow.v2.ConversationDatasets.DeleteConversationDataset].
name (:class:`str`):
Required. The conversation dataset to delete. Format:
``projects/<Project ID>/locations/<Location ID>/conversationDatasets/<Conversation Dataset 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.api_core.operation_async.AsyncOperation:
An object representing a long-running operation.
The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
empty messages in your APIs. A typical example is to
use it as the request or the response type of an API
method. For instance:
service Foo {
rpc Bar(google.protobuf.Empty) returns
(google.protobuf.Empty);
}
"""
# 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, conversation_dataset.DeleteConversationDatasetRequest
):
request = conversation_dataset.DeleteConversationDatasetRequest(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.delete_conversation_dataset
]
# 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,
)
# Wrap the response in an operation future.
response = operation_async.from_gapic(
response,
self._client._transport.operations_client,
empty_pb2.Empty,
metadata_type=conversation_dataset.DeleteConversationDatasetOperationMetadata,
)
# Done; return the response.
return response
[docs] async def import_conversation_data(
self,
request: Optional[
Union[conversation_dataset.ImportConversationDataRequest, dict]
] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> operation_async.AsyncOperation:
r"""Import data into the specified conversation dataset. Note that
it is not allowed to import data to a conversation dataset that
already has data in it.
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``:
[ImportConversationDataOperationMetadata][google.cloud.dialogflow.v2.ImportConversationDataOperationMetadata]
- ``response``:
[ImportConversationDataOperationResponse][google.cloud.dialogflow.v2.ImportConversationDataOperationResponse]
.. 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_v2
async def sample_import_conversation_data():
# Create a client
client = dialogflow_v2.ConversationDatasetsAsyncClient()
# Initialize request argument(s)
input_config = dialogflow_v2.InputConfig()
input_config.gcs_source.uris = ['uris_value1', 'uris_value2']
request = dialogflow_v2.ImportConversationDataRequest(
name="name_value",
input_config=input_config,
)
# Make the request
operation = client.import_conversation_data(request=request)
print("Waiting for operation to complete...")
response = (await operation).result()
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.dialogflow_v2.types.ImportConversationDataRequest, dict]]):
The request object. The request message for
[ConversationDatasets.ImportConversationData][google.cloud.dialogflow.v2.ConversationDatasets.ImportConversationData].
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.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.ImportConversationDataOperationResponse` Response used for
[ConversationDatasets.ImportConversationData][google.cloud.dialogflow.v2.ConversationDatasets.ImportConversationData]
long running operation.
"""
# 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, conversation_dataset.ImportConversationDataRequest):
request = conversation_dataset.ImportConversationDataRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._client._transport._wrapped_methods[
self._client._transport.import_conversation_data
]
# 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,
)
# Wrap the response in an operation future.
response = operation_async.from_gapic(
response,
self._client._transport.operations_client,
conversation_dataset.ImportConversationDataOperationResponse,
metadata_type=conversation_dataset.ImportConversationDataOperationMetadata,
)
# 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) -> "ConversationDatasetsAsyncClient":
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__ = ("ConversationDatasetsAsyncClient",)
