# -*- coding: utf-8 -*-
# Copyright 2025 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
from http import HTTPStatus
import json
import logging as std_logging
import os
import re
from typing import Dict, Callable, Mapping, MutableMapping, MutableSequence, Optional, Sequence, Tuple, Type, Union, cast
import warnings

from google.cloud.logging_v2 import gapic_version as package_version

from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as core_exceptions
from google.api_core import gapic_v1
from google.api_core import retry as retries
from google.auth import credentials as ga_credentials             # type: ignore
from google.auth.transport import mtls                            # type: ignore
from google.auth.transport.grpc import SslCredentials             # type: ignore
from google.auth.exceptions import MutualTLSChannelError          # type: ignore
from google.oauth2 import service_account                         # type: ignore
import google.protobuf

try:
    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
except AttributeError:  # pragma: NO COVER
    OptionalRetry = Union[retries.Retry, object, None]  # type: ignore

try:
    from google.api_core import client_logging  # type: ignore
    CLIENT_LOGGING_SUPPORTED = True  # pragma: NO COVER
except ImportError:  # pragma: NO COVER
    CLIENT_LOGGING_SUPPORTED = False

_LOGGER = std_logging.getLogger(__name__)

from google.cloud.logging_v2.services.metrics_service_v2 import pagers
from google.cloud.logging_v2.types import logging_metrics
from google.longrunning import operations_pb2 # type: ignore
import google.api.distribution_pb2 as distribution_pb2  # type: ignore
import google.api.metric_pb2 as metric_pb2  # type: ignore
import google.protobuf.timestamp_pb2 as timestamp_pb2  # type: ignore
from .transports.base import MetricsServiceV2Transport, DEFAULT_CLIENT_INFO
from .transports.grpc import MetricsServiceV2GrpcTransport
from .transports.grpc_asyncio import MetricsServiceV2GrpcAsyncIOTransport


class BaseMetricsServiceV2ClientMeta(type):
    """Metaclass for the MetricsServiceV2 client.

    This provides class-level methods for building and retrieving
    support objects (e.g. transport) without polluting the client instance
    objects.
    """
    _transport_registry = OrderedDict()  # type: Dict[str, Type[MetricsServiceV2Transport]]
    _transport_registry["grpc"] = MetricsServiceV2GrpcTransport
    _transport_registry["grpc_asyncio"] = MetricsServiceV2GrpcAsyncIOTransport

    def get_transport_class(cls,
            label: Optional[str] = None,
        ) -> Type[MetricsServiceV2Transport]:
        """Returns an appropriate transport class.

        Args:
            label: The name of the desired transport. If none is
                provided, then the first transport in the registry is used.

        Returns:
            The transport class to use.
        """
        # If a specific transport is requested, return that one.
        if label:
            return cls._transport_registry[label]

        # No transport is requested; return the default (that is, the first one
        # in the dictionary).
        return next(iter(cls._transport_registry.values()))


class BaseMetricsServiceV2Client(metaclass=BaseMetricsServiceV2ClientMeta):
    """Service for configuring logs-based metrics."""

    @staticmethod
    def _get_default_mtls_endpoint(api_endpoint) -> Optional[str]:
        """Converts api endpoint to mTLS endpoint.

        Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
        "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
        Args:
            api_endpoint (Optional[str]): the api endpoint to convert.
        Returns:
            Optional[str]: converted mTLS api endpoint.
        """
        if not api_endpoint:
            return api_endpoint

        mtls_endpoint_re = re.compile(
            r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
        )

        m = mtls_endpoint_re.match(api_endpoint)
        if m is None:
            # Could not parse api_endpoint; return as-is.
            return api_endpoint

        name, mtls, sandbox, googledomain = m.groups()
        if mtls or not googledomain:
            return api_endpoint

        if sandbox:
            return api_endpoint.replace(
                "sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
            )

        return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")

    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
    DEFAULT_ENDPOINT = "logging.googleapis.com"
    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
        DEFAULT_ENDPOINT
    )

    _DEFAULT_ENDPOINT_TEMPLATE = "logging.{UNIVERSE_DOMAIN}"
    _DEFAULT_UNIVERSE = "googleapis.com"

    @staticmethod
    def _use_client_cert_effective():
        """Returns whether client certificate should be used for mTLS if the
        google-auth version supports should_use_client_cert automatic mTLS enablement.

        Alternatively, read from the GOOGLE_API_USE_CLIENT_CERTIFICATE env var.

        Returns:
            bool: whether client certificate should be used for mTLS
        Raises:
            ValueError: (If using a version of google-auth without should_use_client_cert and
	    GOOGLE_API_USE_CLIENT_CERTIFICATE is set to an unexpected value.)
        """
        # check if google-auth version supports should_use_client_cert for automatic mTLS enablement
        if hasattr(mtls, "should_use_client_cert"):  # pragma: NO COVER
            return mtls.should_use_client_cert()
        else: # pragma: NO COVER
            # if unsupported, fallback to reading from env var
            use_client_cert_str = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false").lower()
            if use_client_cert_str not in ("true", "false"):
                raise ValueError(
                    "Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be"
                    " either `true` or `false`"
                )
            return use_client_cert_str == "true"

    @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:
            BaseMetricsServiceV2Client: The constructed client.
        """
        credentials = service_account.Credentials.from_service_account_info(info)
        kwargs["credentials"] = credentials
        return cls(*args, **kwargs)

    @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:
            BaseMetricsServiceV2Client: The constructed client.
        """
        credentials = service_account.Credentials.from_service_account_file(
            filename)
        kwargs["credentials"] = credentials
        return cls(*args, **kwargs)

    from_service_account_json = from_service_account_file

    @property
    def transport(self) -> MetricsServiceV2Transport:
        """Returns the transport used by the client instance.

        Returns:
            MetricsServiceV2Transport: The transport used by the client
                instance.
        """
        return self._transport

    @staticmethod
    def log_metric_path(project: str,metric: str,) -> str:
        """Returns a fully-qualified log_metric string."""
        return "projects/{project}/metrics/{metric}".format(project=project, metric=metric, )

    @staticmethod
    def parse_log_metric_path(path: str) -> Dict[str,str]:
        """Parses a log_metric path into its component segments."""
        m = re.match(r"^projects/(?P<project>.+?)/metrics/(?P<metric>.+?)$", path)
        return m.groupdict() if m else {}

    @staticmethod
    def common_billing_account_path(billing_account: str, ) -> str:
        """Returns a fully-qualified billing_account string."""
        return "billingAccounts/{billing_account}".format(billing_account=billing_account, )

    @staticmethod
    def parse_common_billing_account_path(path: str) -> Dict[str,str]:
        """Parse a billing_account path into its component segments."""
        m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
        return m.groupdict() if m else {}

    @staticmethod
    def common_folder_path(folder: str, ) -> str:
        """Returns a fully-qualified folder string."""
        return "folders/{folder}".format(folder=folder, )

    @staticmethod
    def parse_common_folder_path(path: str) -> Dict[str,str]:
        """Parse a folder path into its component segments."""
        m = re.match(r"^folders/(?P<folder>.+?)$", path)
        return m.groupdict() if m else {}

    @staticmethod
    def common_organization_path(organization: str, ) -> str:
        """Returns a fully-qualified organization string."""
        return "organizations/{organization}".format(organization=organization, )

    @staticmethod
    def parse_common_organization_path(path: str) -> Dict[str,str]:
        """Parse a organization path into its component segments."""
        m = re.match(r"^organizations/(?P<organization>.+?)$", path)
        return m.groupdict() if m else {}

    @staticmethod
    def common_project_path(project: str, ) -> str:
        """Returns a fully-qualified project string."""
        return "projects/{project}".format(project=project, )

    @staticmethod
    def parse_common_project_path(path: str) -> Dict[str,str]:
        """Parse a project path into its component segments."""
        m = re.match(r"^projects/(?P<project>.+?)$", path)
        return m.groupdict() if m else {}

    @staticmethod
    def common_location_path(project: str, location: str, ) -> str:
        """Returns a fully-qualified location string."""
        return "projects/{project}/locations/{location}".format(project=project, location=location, )

    @staticmethod
    def parse_common_location_path(path: str) -> Dict[str,str]:
        """Parse a location path into its component segments."""
        m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
        return m.groupdict() if m else {}

    @classmethod
    def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None):
        """Deprecated. 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.
        """

        warnings.warn("get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.",
            DeprecationWarning)
        if client_options is None:
            client_options = client_options_lib.ClientOptions()
        use_client_cert = BaseMetricsServiceV2Client._use_client_cert_effective()
        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
        if use_mtls_endpoint not in ("auto", "never", "always"):
            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")

        # Figure out the client cert source to use.
        client_cert_source = None
        if use_client_cert:
            if client_options.client_cert_source:
                client_cert_source = client_options.client_cert_source
            elif mtls.has_default_client_cert_source():
                client_cert_source = mtls.default_client_cert_source()

        # Figure out which api endpoint to use.
        if client_options.api_endpoint is not None:
            api_endpoint = client_options.api_endpoint
        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
            api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
        else:
            api_endpoint = cls.DEFAULT_ENDPOINT

        return api_endpoint, client_cert_source

    @staticmethod
    def _read_environment_variables():
        """Returns the environment variables used by the client.

        Returns:
            Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE,
            GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables.

        Raises:
            ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not
                any of ["true", "false"].
            google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT
                is not any of ["auto", "never", "always"].
        """
        use_client_cert = BaseMetricsServiceV2Client._use_client_cert_effective()
        use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower()
        universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN")
        if use_mtls_endpoint not in ("auto", "never", "always"):
            raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`")
        return use_client_cert, use_mtls_endpoint, universe_domain_env

    @staticmethod
    def _get_client_cert_source(provided_cert_source, use_cert_flag):
        """Return the client cert source to be used by the client.

        Args:
            provided_cert_source (bytes): The client certificate source provided.
            use_cert_flag (bool): A flag indicating whether to use the client certificate.

        Returns:
            bytes or None: The client cert source to be used by the client.
        """
        client_cert_source = None
        if use_cert_flag:
            if provided_cert_source:
                client_cert_source = provided_cert_source
            elif mtls.has_default_client_cert_source():
                client_cert_source = mtls.default_client_cert_source()
        return client_cert_source

    @staticmethod
    def _get_api_endpoint(api_override, client_cert_source, universe_domain, use_mtls_endpoint) -> str:
        """Return the API endpoint used by the client.

        Args:
            api_override (str): The API endpoint override. If specified, this is always
                the return value of this function and the other arguments are not used.
            client_cert_source (bytes): The client certificate source used by the client.
            universe_domain (str): The universe domain used by the client.
            use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters.
                Possible values are "always", "auto", or "never".

        Returns:
            str: The API endpoint to be used by the client.
        """
        if api_override is not None:
            api_endpoint = api_override
        elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source):
            _default_universe = BaseMetricsServiceV2Client._DEFAULT_UNIVERSE
            if universe_domain != _default_universe:
                raise MutualTLSChannelError(f"mTLS is not supported in any universe other than {_default_universe}.")
            api_endpoint = BaseMetricsServiceV2Client.DEFAULT_MTLS_ENDPOINT
        else:
            api_endpoint = BaseMetricsServiceV2Client._DEFAULT_ENDPOINT_TEMPLATE.format(UNIVERSE_DOMAIN=universe_domain)
        return api_endpoint

    @staticmethod
    def _get_universe_domain(client_universe_domain: Optional[str], universe_domain_env: Optional[str]) -> str:
        """Return the universe domain used by the client.

        Args:
            client_universe_domain (Optional[str]): The universe domain configured via the client options.
            universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable.

        Returns:
            str: The universe domain to be used by the client.

        Raises:
            ValueError: If the universe domain is an empty string.
        """
        universe_domain = BaseMetricsServiceV2Client._DEFAULT_UNIVERSE
        if client_universe_domain is not None:
            universe_domain = client_universe_domain
        elif universe_domain_env is not None:
            universe_domain = universe_domain_env
        if len(universe_domain.strip()) == 0:
            raise ValueError("Universe Domain cannot be an empty string.")
        return universe_domain

    def _validate_universe_domain(self):
        """Validates client's and credentials' universe domains are consistent.

        Returns:
            bool: True iff the configured universe domain is valid.

        Raises:
            ValueError: If the configured universe domain is not valid.
        """

        # NOTE (b/349488459): universe validation is disabled until further notice.
        return True

    def _add_cred_info_for_auth_errors(
        self,
        error: core_exceptions.GoogleAPICallError
    ) -> None:
        """Adds credential info string to error details for 401/403/404 errors.

        Args:
            error (google.api_core.exceptions.GoogleAPICallError): The error to add the cred info.
        """
        if error.code not in [HTTPStatus.UNAUTHORIZED, HTTPStatus.FORBIDDEN, HTTPStatus.NOT_FOUND]:
            return

        cred = self._transport._credentials

        # get_cred_info is only available in google-auth>=2.35.0
        if not hasattr(cred, "get_cred_info"):
            return

        # ignore the type check since pypy test fails when get_cred_info
        # is not available
        cred_info = cred.get_cred_info()  # type: ignore
        if cred_info and hasattr(error._details, "append"):
            error._details.append(json.dumps(cred_info))

    @property
    def api_endpoint(self) -> str:
        """Return the API endpoint used by the client instance.

        Returns:
            str: The API endpoint used by the client instance.
        """
        return self._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._universe_domain

    def __init__(self, *,
            credentials: Optional[ga_credentials.Credentials] = None,
            transport: Optional[Union[str, MetricsServiceV2Transport, Callable[..., MetricsServiceV2Transport]]] = None,
            client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
            client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
            ) -> None:
        """Instantiates the base metrics service v2 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.
                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.
            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 the ``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_options = client_options
        if isinstance(self._client_options, dict):
            self._client_options = client_options_lib.from_dict(self._client_options)
        if self._client_options is None:
            self._client_options = client_options_lib.ClientOptions()
        self._client_options = cast(client_options_lib.ClientOptions, self._client_options)

        universe_domain_opt = getattr(self._client_options, 'universe_domain', None)

        self._use_client_cert, self._use_mtls_endpoint, self._universe_domain_env = BaseMetricsServiceV2Client._read_environment_variables()
        self._client_cert_source = BaseMetricsServiceV2Client._get_client_cert_source(self._client_options.client_cert_source, self._use_client_cert)
        self._universe_domain = BaseMetricsServiceV2Client._get_universe_domain(universe_domain_opt, self._universe_domain_env)
        self._api_endpoint: str = ""  # updated below, depending on `transport`

        # Initialize the universe domain validation.
        self._is_universe_domain_valid = False

        if CLIENT_LOGGING_SUPPORTED:  # pragma: NO COVER
            # Setup logging.
            client_logging.initialize_logging()

        api_key_value = getattr(self._client_options, "api_key", None)
        if api_key_value and credentials:
            raise ValueError("client_options.api_key and credentials are mutually exclusive")

        # Save or instantiate the transport.
        # Ordinarily, we provide the transport, but allowing a custom transport
        # instance provides an extensibility point for unusual situations.
        transport_provided = isinstance(transport, MetricsServiceV2Transport)
        if transport_provided:
            # transport is a MetricsServiceV2Transport instance.
            if credentials or self._client_options.credentials_file or api_key_value:
                raise ValueError("When providing a transport instance, "
                                 "provide its credentials directly.")
            if self._client_options.scopes:
                raise ValueError(
                    "When providing a transport instance, provide its scopes "
                    "directly."
                )
            self._transport = cast(MetricsServiceV2Transport, transport)
            self._api_endpoint = self._transport.host

        self._api_endpoint = (self._api_endpoint or
            BaseMetricsServiceV2Client._get_api_endpoint(
                self._client_options.api_endpoint,
                self._client_cert_source,
                self._universe_domain,
                self._use_mtls_endpoint))

        if not transport_provided:
            import google.auth._default  # type: ignore

            if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"):
                credentials = google.auth._default.get_api_key_credentials(api_key_value)

            transport_init: Union[Type[MetricsServiceV2Transport], Callable[..., MetricsServiceV2Transport]] = (
                BaseMetricsServiceV2Client.get_transport_class(transport)
                if isinstance(transport, str) or transport is None
                else cast(Callable[..., MetricsServiceV2Transport], transport)
            )
            # initialize with the provided callable or the passed in class
            self._transport = transport_init(
                credentials=credentials,
                credentials_file=self._client_options.credentials_file,
                host=self._api_endpoint,
                scopes=self._client_options.scopes,
                client_cert_source_for_mtls=self._client_cert_source,
                quota_project_id=self._client_options.quota_project_id,
                client_info=client_info,
                always_use_jwt_access=True,
                api_audience=self._client_options.api_audience,
            )

        if "async" not in str(self._transport):
            if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor(std_logging.DEBUG):  # pragma: NO COVER
                _LOGGER.debug(
                    "Created client `google.logging_v2.BaseMetricsServiceV2Client`.",
                    extra = {
                        "serviceName": "google.logging.v2.MetricsServiceV2",
                        "universeDomain": getattr(self._transport._credentials, "universe_domain", ""),
                        "credentialsType": f"{type(self._transport._credentials).__module__}.{type(self._transport._credentials).__qualname__}",
                        "credentialsInfo": getattr(self.transport._credentials, "get_cred_info", lambda: None)(),
                    } if hasattr(self._transport, "_credentials") else {
                        "serviceName": "google.logging.v2.MetricsServiceV2",
                        "credentialsType": None,
                    }
                )

    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, Union[str, bytes]]] = (),
            ) -> pagers.ListLogMetricsPager:
        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 google.cloud import logging_v2

            def sample_list_log_metrics():
                # Create a client
                client = logging_v2.BaseMetricsServiceV2Client()

                # 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
                for response in page_result:
                    print(response)

        Args:
            request (Union[google.cloud.logging_v2.types.ListLogMetricsRequest, dict]):
                The request object. The parameters to ListLogMetrics.
            parent (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.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.

        Returns:
            google.cloud.logging_v2.services.metrics_service_v2.pagers.ListLogMetricsPager:
                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.
        flattened_params = [parent]
        has_flattened_params = len([param for param in flattened_params if param is not None]) > 0
        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._transport._wrapped_methods[self._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._validate_universe_domain()

        # Send the request.
        response = rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # This method is paged; wrap the response in a pager, which provides
        # an `__iter__` convenience method.
        response = pagers.ListLogMetricsPager(
            method=rpc,
            request=request,
            response=response,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    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, Union[str, bytes]]] = (),
            ) -> 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 google.cloud import logging_v2

            def sample_get_log_metric():
                # Create a client
                client = logging_v2.BaseMetricsServiceV2Client()

                # Initialize request argument(s)
                request = logging_v2.GetLogMetricRequest(
                    metric_name="metric_name_value",
                )

                # Make the request
                response = client._get_log_metric(request=request)

                # Handle the response
                print(response)

        Args:
            request (Union[google.cloud.logging_v2.types.GetLogMetricRequest, dict]):
                The request object. The parameters to GetLogMetric.
            metric_name (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.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.

        Returns:
            google.cloud.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.
        flattened_params = [metric_name]
        has_flattened_params = len([param for param in flattened_params if param is not None]) > 0
        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._transport._wrapped_methods[self._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._validate_universe_domain()

        # Send the request.
        response = rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    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, Union[str, bytes]]] = (),
            ) -> 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 google.cloud import logging_v2

            def sample_create_log_metric():
                # Create a client
                client = logging_v2.BaseMetricsServiceV2Client()

                # 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 = client._create_log_metric(request=request)

                # Handle the response
                print(response)

        Args:
            request (Union[google.cloud.logging_v2.types.CreateLogMetricRequest, dict]):
                The request object. The parameters to CreateLogMetric.
            parent (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 (google.cloud.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.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.

        Returns:
            google.cloud.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.
        flattened_params = [parent, metric]
        has_flattened_params = len([param for param in flattened_params if param is not None]) > 0
        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._transport._wrapped_methods[self._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._validate_universe_domain()

        # Send the request.
        response = rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    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, Union[str, bytes]]] = (),
            ) -> 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 google.cloud import logging_v2

            def sample_update_log_metric():
                # Create a client
                client = logging_v2.BaseMetricsServiceV2Client()

                # 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 = client._update_log_metric(request=request)

                # Handle the response
                print(response)

        Args:
            request (Union[google.cloud.logging_v2.types.UpdateLogMetricRequest, dict]):
                The request object. The parameters to UpdateLogMetric.
            metric_name (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 (google.cloud.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.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.

        Returns:
            google.cloud.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.
        flattened_params = [metric_name, metric]
        has_flattened_params = len([param for param in flattened_params if param is not None]) > 0
        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._transport._wrapped_methods[self._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._validate_universe_domain()

        # Send the request.
        response = rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    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, Union[str, bytes]]] = (),
            ) -> 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 google.cloud import logging_v2

            def sample_delete_log_metric():
                # Create a client
                client = logging_v2.BaseMetricsServiceV2Client()

                # Initialize request argument(s)
                request = logging_v2.DeleteLogMetricRequest(
                    metric_name="metric_name_value",
                )

                # Make the request
                client._delete_log_metric(request=request)

        Args:
            request (Union[google.cloud.logging_v2.types.DeleteLogMetricRequest, dict]):
                The request object. The parameters to DeleteLogMetric.
            metric_name (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.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.
        """
        # 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.
        flattened_params = [metric_name]
        has_flattened_params = len([param for param in flattened_params if param is not None]) > 0
        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._transport._wrapped_methods[self._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._validate_universe_domain()

        # Send the request.
        rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

    def __enter__(self) -> "BaseMetricsServiceV2Client":
        return self

    def __exit__(self, type, value, traceback):
        """Releases underlying transport's resources.

        .. warning::
            ONLY use as a context manager if the transport is NOT shared
            with other clients! Exiting the with block will CLOSE the transport
            and may cause errors in other clients!
        """
        self.transport.close()

    def list_operations(
        self,
        request: Optional[Union[operations_pb2.ListOperationsRequest, dict]] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> 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.Retry): Designation of what errors,
                    if any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.
        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 request is None:
            request_pb = operations_pb2.ListOperationsRequest()
        elif isinstance(request, dict):
            request_pb = operations_pb2.ListOperationsRequest(**request)
        else:
            request_pb = request

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._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_pb.name),)),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        try:
            # Send the request.
            response = rpc(
                request_pb, retry=retry, timeout=timeout, metadata=metadata,)

            # Done; return the response.
            return response
        except core_exceptions.GoogleAPICallError as e:
            self._add_cred_info_for_auth_errors(e)
            raise e

    def get_operation(
        self,
        request: Optional[Union[operations_pb2.GetOperationRequest, dict]] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> 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.Retry): Designation of what errors,
                    if any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.
        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 request is None:
            request_pb = operations_pb2.GetOperationRequest()
        elif isinstance(request, dict):
            request_pb = operations_pb2.GetOperationRequest(**request)
        else:
            request_pb = request

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._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_pb.name),)),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        try:
            # Send the request.
            response = rpc(
                request_pb, retry=retry, timeout=timeout, metadata=metadata,)

            # Done; return the response.
            return response
        except core_exceptions.GoogleAPICallError as e:
            self._add_cred_info_for_auth_errors(e)
            raise e

    def cancel_operation(
        self,
        request: Optional[Union[operations_pb2.CancelOperationRequest, dict]] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, Union[str, bytes]]] = (),
    ) -> 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.Retry): Designation of what errors,
                    if any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be
                sent along with the request as metadata. Normally, each value must be of type `str`,
                but for metadata keys ending with the suffix `-bin`, the corresponding values must
                be of type `bytes`.
        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 request is None:
            request_pb = operations_pb2.CancelOperationRequest()
        elif isinstance(request, dict):
            request_pb = operations_pb2.CancelOperationRequest(**request)
        else:
            request_pb = request

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._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_pb.name),)),
        )

        # Validate the universe domain.
        self._validate_universe_domain()

        # Send the request.
        rpc(request_pb, retry=retry, timeout=timeout, metadata=metadata,)







DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(gapic_version=package_version.__version__)

if hasattr(DEFAULT_CLIENT_INFO, "protobuf_runtime_version"):  # pragma: NO COVER
    DEFAULT_CLIENT_INFO.protobuf_runtime_version = google.protobuf.__version__

__all__ = (
    "BaseMetricsServiceV2Client",
)
