# -*- 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 functools import re from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union from googlecloudsdk.generated_clients.gapic_clients.logging_v2 import gapic_version as package_version from google.api_core.client_options import ClientOptions from google.api_core import exceptions as core_exceptions from google.api_core import gapic_v1 from google.api_core import retry_async as retries from google.auth import credentials as ga_credentials # type: ignore from google.oauth2 import service_account # type: ignore 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 import distribution_pb2 # type: ignore from google.api import metric_pb2 # type: ignore from cloudsdk.google.protobuf import timestamp_pb2 # type: ignore from googlecloudsdk.generated_clients.gapic_clients.logging_v2.services.metrics_service_v2 import pagers from googlecloudsdk.generated_clients.gapic_clients.logging_v2.types import logging_metrics from .transports.base import MetricsServiceV2Transport, DEFAULT_CLIENT_INFO from .transports.grpc_asyncio import MetricsServiceV2GrpcAsyncIOTransport from .client import MetricsServiceV2Client class MetricsServiceV2AsyncClient: """Service for configuring logs-based metrics.""" _client: MetricsServiceV2Client # Copy defaults from the synchronous client for use here. # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. DEFAULT_ENDPOINT = MetricsServiceV2Client.DEFAULT_ENDPOINT DEFAULT_MTLS_ENDPOINT = MetricsServiceV2Client.DEFAULT_MTLS_ENDPOINT _DEFAULT_ENDPOINT_TEMPLATE = MetricsServiceV2Client._DEFAULT_ENDPOINT_TEMPLATE _DEFAULT_UNIVERSE = MetricsServiceV2Client._DEFAULT_UNIVERSE log_metric_path = staticmethod(MetricsServiceV2Client.log_metric_path) parse_log_metric_path = staticmethod(MetricsServiceV2Client.parse_log_metric_path) common_billing_account_path = staticmethod(MetricsServiceV2Client.common_billing_account_path) parse_common_billing_account_path = staticmethod(MetricsServiceV2Client.parse_common_billing_account_path) common_folder_path = staticmethod(MetricsServiceV2Client.common_folder_path) parse_common_folder_path = staticmethod(MetricsServiceV2Client.parse_common_folder_path) common_organization_path = staticmethod(MetricsServiceV2Client.common_organization_path) parse_common_organization_path = staticmethod(MetricsServiceV2Client.parse_common_organization_path) common_project_path = staticmethod(MetricsServiceV2Client.common_project_path) parse_common_project_path = staticmethod(MetricsServiceV2Client.parse_common_project_path) common_location_path = staticmethod(MetricsServiceV2Client.common_location_path) parse_common_location_path = staticmethod(MetricsServiceV2Client.parse_common_location_path) @classmethod def from_service_account_info(cls, info: dict, *args, **kwargs): """Creates an instance of this client using the provided credentials info. Args: info (dict): The service account private key info. args: Additional arguments to pass to the constructor. kwargs: Additional arguments to pass to the constructor. Returns: MetricsServiceV2AsyncClient: The constructed client. """ return MetricsServiceV2Client.from_service_account_info.__func__(MetricsServiceV2AsyncClient, info, *args, **kwargs) # type: ignore @classmethod def from_service_account_file(cls, filename: str, *args, **kwargs): """Creates an instance of this client using the provided credentials file. Args: filename (str): The path to the service account private key json file. args: Additional arguments to pass to the constructor. kwargs: Additional arguments to pass to the constructor. Returns: MetricsServiceV2AsyncClient: The constructed client. """ return MetricsServiceV2Client.from_service_account_file.__func__(MetricsServiceV2AsyncClient, filename, *args, **kwargs) # type: ignore from_service_account_json = from_service_account_file @classmethod def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None): """Return the API endpoint and client cert source for mutual TLS. The client cert source is determined in the following order: (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the client cert source is None. (2) if `client_options.client_cert_source` is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None. The API endpoint is determined in the following order: (1) if `client_options.api_endpoint` if provided, use the provided one. (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the default mTLS endpoint; if the environment 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 MetricsServiceV2Client.get_mtls_endpoint_and_cert_source(client_options) # type: ignore @property def transport(self) -> MetricsServiceV2Transport: """Returns the transport used by the client instance. Returns: MetricsServiceV2Transport: 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 = functools.partial(type(MetricsServiceV2Client).get_transport_class, type(MetricsServiceV2Client)) def __init__(self, *, credentials: Optional[ga_credentials.Credentials] = None, transport: Optional[Union[str, MetricsServiceV2Transport, Callable[..., MetricsServiceV2Transport]]] = "grpc_asyncio", client_options: Optional[ClientOptions] = None, client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, ) -> None: """Instantiates the metrics service v2 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,MetricsServiceV2Transport,Callable[..., MetricsServiceV2Transport]]]): 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 MetricsServiceV2Transport constructor. If set to None, a transport is chosen automatically. NOTE: "rest" transport functionality is currently in a beta state (preview). We welcome your feedback via an issue in this library's source repository. 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 = MetricsServiceV2Client( credentials=credentials, transport=transport, client_options=client_options, client_info=client_info, ) async def list_log_metrics(self, request: Optional[Union[logging_metrics.ListLogMetricsRequest, 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.ListLogMetricsAsyncPager: r"""Lists logs-based metrics. .. 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 googlecloudsdk.generated_clients.gapic_clients import logging_v2 async def sample_list_log_metrics(): # Create a client client = logging_v2.MetricsServiceV2AsyncClient() # Initialize request argument(s) request = logging_v2.ListLogMetricsRequest( parent="parent_value", ) # Make the request page_result = client.list_log_metrics(request=request) # Handle the response async for response in page_result: print(response) Args: request (Optional[Union[googlecloudsdk.generated_clients.gapic_clients.logging_v2.types.ListLogMetricsRequest, dict]]): The request object. The parameters to ListLogMetrics. parent (:class:`str`): Required. The name of the project containing the metrics: :: "projects/[PROJECT_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: googlecloudsdk.generated_clients.gapic_clients.logging_v2.services.metrics_service_v2.pagers.ListLogMetricsAsyncPager: Result returned from ListLogMetrics. 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, logging_metrics.ListLogMetricsRequest): request = logging_metrics.ListLogMetricsRequest(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_log_metrics] # 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.ListLogMetricsAsyncPager( method=rpc, request=request, response=response, metadata=metadata, ) # Done; return the response. return response async def get_log_metric(self, request: Optional[Union[logging_metrics.GetLogMetricRequest, dict]] = None, *, metric_name: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> logging_metrics.LogMetric: r"""Gets a logs-based metric. .. 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 googlecloudsdk.generated_clients.gapic_clients import logging_v2 async def sample_get_log_metric(): # Create a client client = logging_v2.MetricsServiceV2AsyncClient() # Initialize request argument(s) request = logging_v2.GetLogMetricRequest( metric_name="metric_name_value", ) # Make the request response = await client.get_log_metric(request=request) # Handle the response print(response) Args: request (Optional[Union[googlecloudsdk.generated_clients.gapic_clients.logging_v2.types.GetLogMetricRequest, dict]]): The request object. The parameters to GetLogMetric. metric_name (:class:`str`): Required. The resource name of the desired metric: :: "projects/[PROJECT_ID]/metrics/[METRIC_ID]" This corresponds to the ``metric_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: googlecloudsdk.generated_clients.gapic_clients.logging_v2.types.LogMetric: Describes a logs-based metric. The value of the metric is the number of log entries that match a logs filter in a given time interval. Logs-based metrics can also be used to extract values from logs and create a distribution of the values. The distribution records the statistics of the extracted values along with an optional histogram of the values as specified by the bucket options. """ # 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([metric_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, logging_metrics.GetLogMetricRequest): request = logging_metrics.GetLogMetricRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if metric_name is not None: request.metric_name = metric_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_log_metric] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata(( ("metric_name", request.metric_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 create_log_metric(self, request: Optional[Union[logging_metrics.CreateLogMetricRequest, dict]] = None, *, parent: Optional[str] = None, metric: Optional[logging_metrics.LogMetric] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> logging_metrics.LogMetric: r"""Creates a logs-based metric. .. 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 googlecloudsdk.generated_clients.gapic_clients import logging_v2 async def sample_create_log_metric(): # Create a client client = logging_v2.MetricsServiceV2AsyncClient() # Initialize request argument(s) metric = logging_v2.LogMetric() metric.name = "name_value" metric.filter = "filter_value" request = logging_v2.CreateLogMetricRequest( parent="parent_value", metric=metric, ) # Make the request response = await client.create_log_metric(request=request) # Handle the response print(response) Args: request (Optional[Union[googlecloudsdk.generated_clients.gapic_clients.logging_v2.types.CreateLogMetricRequest, dict]]): The request object. The parameters to CreateLogMetric. parent (:class:`str`): Required. The resource name of the project in which to create the metric: :: "projects/[PROJECT_ID]" The new metric must be provided in the request. This corresponds to the ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. metric (:class:`googlecloudsdk.generated_clients.gapic_clients.logging_v2.types.LogMetric`): Required. The new logs-based metric, which must not have an identifier that already exists. This corresponds to the ``metric`` 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: googlecloudsdk.generated_clients.gapic_clients.logging_v2.types.LogMetric: Describes a logs-based metric. The value of the metric is the number of log entries that match a logs filter in a given time interval. Logs-based metrics can also be used to extract values from logs and create a distribution of the values. The distribution records the statistics of the extracted values along with an optional histogram of the values as specified by the bucket options. """ # 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, metric]) 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, logging_metrics.CreateLogMetricRequest): request = logging_metrics.CreateLogMetricRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent if metric is not None: request.metric = metric # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._client._transport._wrapped_methods[self._client._transport.create_log_metric] # 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 async def update_log_metric(self, request: Optional[Union[logging_metrics.UpdateLogMetricRequest, dict]] = None, *, metric_name: Optional[str] = None, metric: Optional[logging_metrics.LogMetric] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> logging_metrics.LogMetric: r"""Creates or updates a logs-based metric. .. 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 googlecloudsdk.generated_clients.gapic_clients import logging_v2 async def sample_update_log_metric(): # Create a client client = logging_v2.MetricsServiceV2AsyncClient() # Initialize request argument(s) metric = logging_v2.LogMetric() metric.name = "name_value" metric.filter = "filter_value" request = logging_v2.UpdateLogMetricRequest( metric_name="metric_name_value", metric=metric, ) # Make the request response = await client.update_log_metric(request=request) # Handle the response print(response) Args: request (Optional[Union[googlecloudsdk.generated_clients.gapic_clients.logging_v2.types.UpdateLogMetricRequest, dict]]): The request object. The parameters to UpdateLogMetric. metric_name (:class:`str`): Required. The resource name of the metric to update: :: "projects/[PROJECT_ID]/metrics/[METRIC_ID]" The updated metric must be provided in the request and it's ``name`` field must be the same as ``[METRIC_ID]`` If the metric does not exist in ``[PROJECT_ID]``, then a new metric is created. This corresponds to the ``metric_name`` field on the ``request`` instance; if ``request`` is provided, this should not be set. metric (:class:`googlecloudsdk.generated_clients.gapic_clients.logging_v2.types.LogMetric`): Required. The updated metric. This corresponds to the ``metric`` 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: googlecloudsdk.generated_clients.gapic_clients.logging_v2.types.LogMetric: Describes a logs-based metric. The value of the metric is the number of log entries that match a logs filter in a given time interval. Logs-based metrics can also be used to extract values from logs and create a distribution of the values. The distribution records the statistics of the extracted values along with an optional histogram of the values as specified by the bucket options. """ # 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([metric_name, metric]) 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, logging_metrics.UpdateLogMetricRequest): request = logging_metrics.UpdateLogMetricRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if metric_name is not None: request.metric_name = metric_name if metric is not None: request.metric = metric # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._client._transport._wrapped_methods[self._client._transport.update_log_metric] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata(( ("metric_name", request.metric_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 delete_log_metric(self, request: Optional[Union[logging_metrics.DeleteLogMetricRequest, dict]] = None, *, metric_name: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> None: r"""Deletes a logs-based metric. .. 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 googlecloudsdk.generated_clients.gapic_clients import logging_v2 async def sample_delete_log_metric(): # Create a client client = logging_v2.MetricsServiceV2AsyncClient() # Initialize request argument(s) request = logging_v2.DeleteLogMetricRequest( metric_name="metric_name_value", ) # Make the request await client.delete_log_metric(request=request) Args: request (Optional[Union[googlecloudsdk.generated_clients.gapic_clients.logging_v2.types.DeleteLogMetricRequest, dict]]): The request object. The parameters to DeleteLogMetric. metric_name (:class:`str`): Required. The resource name of the metric to delete: :: "projects/[PROJECT_ID]/metrics/[METRIC_ID]" This corresponds to the ``metric_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. """ # 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([metric_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, logging_metrics.DeleteLogMetricRequest): request = logging_metrics.DeleteLogMetricRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if metric_name is not None: request.metric_name = metric_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_log_metric] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata(( ("metric_name", request.metric_name), )), ) # Validate the universe domain. self._client._validate_universe_domain() # Send the request. await rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) async def __aenter__(self) -> "MetricsServiceV2AsyncClient": 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__ = ( "MetricsServiceV2AsyncClient", )