# -*- coding: utf-8 -*-
# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from collections import OrderedDict
import re
from typing import (
    Dict,
    Callable,
    Mapping,
    MutableMapping,
    MutableSequence,
    Optional,
    Sequence,
    Tuple,
    Type,
    Union,
)

from google.cloud.aiplatform_v1beta1 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_core import operation as gac_operation  # type: ignore
from google.api_core import operation_async  # type: ignore
from google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service import (
    pagers,
)
from google.cloud.aiplatform_v1beta1.types import encryption_spec
from google.cloud.aiplatform_v1beta1.types import feature_online_store
from google.cloud.aiplatform_v1beta1.types import (
    feature_online_store as gca_feature_online_store,
)
from google.cloud.aiplatform_v1beta1.types import feature_online_store_admin_service
from google.cloud.aiplatform_v1beta1.types import feature_view
from google.cloud.aiplatform_v1beta1.types import feature_view as gca_feature_view
from google.cloud.aiplatform_v1beta1.types import feature_view_sync
from google.cloud.aiplatform_v1beta1.types import operation as gca_operation
from google.cloud.location import locations_pb2  # type: ignore
from google.iam.v1 import iam_policy_pb2  # type: ignore
from google.iam.v1 import policy_pb2  # type: ignore
from google.longrunning import operations_pb2  # type: ignore
from google.protobuf import empty_pb2  # type: ignore
from google.protobuf import field_mask_pb2  # type: ignore
from google.protobuf import timestamp_pb2  # type: ignore
from google.rpc import status_pb2  # type: ignore
from google.type import interval_pb2  # type: ignore
from .transports.base import (
    FeatureOnlineStoreAdminServiceTransport,
    DEFAULT_CLIENT_INFO,
)
from .transports.grpc_asyncio import FeatureOnlineStoreAdminServiceGrpcAsyncIOTransport
from .client import FeatureOnlineStoreAdminServiceClient


class FeatureOnlineStoreAdminServiceAsyncClient:
    """The service that handles CRUD and List for resources for
    FeatureOnlineStore.
    """

    _client: FeatureOnlineStoreAdminServiceClient

    # Copy defaults from the synchronous client for use here.
    # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
    DEFAULT_ENDPOINT = FeatureOnlineStoreAdminServiceClient.DEFAULT_ENDPOINT
    DEFAULT_MTLS_ENDPOINT = FeatureOnlineStoreAdminServiceClient.DEFAULT_MTLS_ENDPOINT
    _DEFAULT_ENDPOINT_TEMPLATE = (
        FeatureOnlineStoreAdminServiceClient._DEFAULT_ENDPOINT_TEMPLATE
    )
    _DEFAULT_UNIVERSE = FeatureOnlineStoreAdminServiceClient._DEFAULT_UNIVERSE

    feature_online_store_path = staticmethod(
        FeatureOnlineStoreAdminServiceClient.feature_online_store_path
    )
    parse_feature_online_store_path = staticmethod(
        FeatureOnlineStoreAdminServiceClient.parse_feature_online_store_path
    )
    feature_view_path = staticmethod(
        FeatureOnlineStoreAdminServiceClient.feature_view_path
    )
    parse_feature_view_path = staticmethod(
        FeatureOnlineStoreAdminServiceClient.parse_feature_view_path
    )
    feature_view_sync_path = staticmethod(
        FeatureOnlineStoreAdminServiceClient.feature_view_sync_path
    )
    parse_feature_view_sync_path = staticmethod(
        FeatureOnlineStoreAdminServiceClient.parse_feature_view_sync_path
    )
    common_billing_account_path = staticmethod(
        FeatureOnlineStoreAdminServiceClient.common_billing_account_path
    )
    parse_common_billing_account_path = staticmethod(
        FeatureOnlineStoreAdminServiceClient.parse_common_billing_account_path
    )
    common_folder_path = staticmethod(
        FeatureOnlineStoreAdminServiceClient.common_folder_path
    )
    parse_common_folder_path = staticmethod(
        FeatureOnlineStoreAdminServiceClient.parse_common_folder_path
    )
    common_organization_path = staticmethod(
        FeatureOnlineStoreAdminServiceClient.common_organization_path
    )
    parse_common_organization_path = staticmethod(
        FeatureOnlineStoreAdminServiceClient.parse_common_organization_path
    )
    common_project_path = staticmethod(
        FeatureOnlineStoreAdminServiceClient.common_project_path
    )
    parse_common_project_path = staticmethod(
        FeatureOnlineStoreAdminServiceClient.parse_common_project_path
    )
    common_location_path = staticmethod(
        FeatureOnlineStoreAdminServiceClient.common_location_path
    )
    parse_common_location_path = staticmethod(
        FeatureOnlineStoreAdminServiceClient.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:
            FeatureOnlineStoreAdminServiceAsyncClient: The constructed client.
        """
        return FeatureOnlineStoreAdminServiceClient.from_service_account_info.__func__(FeatureOnlineStoreAdminServiceAsyncClient, 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:
            FeatureOnlineStoreAdminServiceAsyncClient: The constructed client.
        """
        return FeatureOnlineStoreAdminServiceClient.from_service_account_file.__func__(FeatureOnlineStoreAdminServiceAsyncClient, 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 FeatureOnlineStoreAdminServiceClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore

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

        Returns:
            FeatureOnlineStoreAdminServiceTransport: 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 = FeatureOnlineStoreAdminServiceClient.get_transport_class

    def __init__(
        self,
        *,
        credentials: Optional[ga_credentials.Credentials] = None,
        transport: Optional[
            Union[
                str,
                FeatureOnlineStoreAdminServiceTransport,
                Callable[..., FeatureOnlineStoreAdminServiceTransport],
            ]
        ] = "grpc_asyncio",
        client_options: Optional[ClientOptions] = None,
        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
    ) -> None:
        """Instantiates the feature online store admin service 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,FeatureOnlineStoreAdminServiceTransport,Callable[..., FeatureOnlineStoreAdminServiceTransport]]]):
                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 FeatureOnlineStoreAdminServiceTransport constructor.
                If set to None, a transport is chosen automatically.
            client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
                Custom options for the client.

                1. The ``api_endpoint`` property can be used to override the
                default endpoint provided by the client when ``transport`` is
                not explicitly provided. Only if this property is not set and
                ``transport`` was not explicitly provided, the endpoint is
                determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
                variable, which have one of the following values:
                "always" (always use the default mTLS endpoint), "never" (always
                use the default regular endpoint) and "auto" (auto-switch to the
                default mTLS endpoint if client certificate is present; this is
                the default value).

                2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
                is "true", then the ``client_cert_source`` property can be used
                to provide a client certificate for mTLS transport. If
                not provided, the default SSL client certificate will be used if
                present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
                set, no client certificate will be used.

                3. The ``universe_domain`` property can be used to override the
                default "googleapis.com" universe. Note that ``api_endpoint``
                property still takes precedence; and ``universe_domain`` is
                currently not supported for mTLS.

            client_info (google.api_core.gapic_v1.client_info.ClientInfo):
                The client info used to send a user-agent string along with
                API requests. If ``None``, then default info will be used.
                Generally, you only need to set this if you're developing
                your own client library.

        Raises:
            google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
                creation failed for any reason.
        """
        self._client = FeatureOnlineStoreAdminServiceClient(
            credentials=credentials,
            transport=transport,
            client_options=client_options,
            client_info=client_info,
        )

    async def create_feature_online_store(
        self,
        request: Optional[
            Union[
                feature_online_store_admin_service.CreateFeatureOnlineStoreRequest, dict
            ]
        ] = None,
        *,
        parent: Optional[str] = None,
        feature_online_store: Optional[
            gca_feature_online_store.FeatureOnlineStore
        ] = None,
        feature_online_store_id: Optional[str] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Creates a new FeatureOnlineStore in a given project
        and location.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import aiplatform_v1beta1

            async def sample_create_feature_online_store():
                # Create a client
                client = aiplatform_v1beta1.FeatureOnlineStoreAdminServiceAsyncClient()

                # Initialize request argument(s)
                feature_online_store = aiplatform_v1beta1.FeatureOnlineStore()
                feature_online_store.bigtable.auto_scaling.min_node_count = 1489
                feature_online_store.bigtable.auto_scaling.max_node_count = 1491

                request = aiplatform_v1beta1.CreateFeatureOnlineStoreRequest(
                    parent="parent_value",
                    feature_online_store=feature_online_store,
                    feature_online_store_id="feature_online_store_id_value",
                )

                # Make the request
                operation = client.create_feature_online_store(request=request)

                print("Waiting for operation to complete...")

                response = (await operation).result()

                # Handle the response
                print(response)

        Args:
            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.CreateFeatureOnlineStoreRequest, dict]]):
                The request object. Request message for
                [FeatureOnlineStoreAdminService.CreateFeatureOnlineStore][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.CreateFeatureOnlineStore].
            parent (:class:`str`):
                Required. The resource name of the Location to create
                FeatureOnlineStores. Format:
                ``projects/{project}/locations/{location}``

                This corresponds to the ``parent`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            feature_online_store (:class:`google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore`):
                Required. The FeatureOnlineStore to
                create.

                This corresponds to the ``feature_online_store`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            feature_online_store_id (:class:`str`):
                Required. The ID to use for this FeatureOnlineStore,
                which will become the final component of the
                FeatureOnlineStore's resource name.

                This value may be up to 60 characters, and valid
                characters are ``[a-z0-9_]``. The first character cannot
                be a number.

                The value must be unique within the project and
                location.

                This corresponds to the ``feature_online_store_id`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.api_core.operation_async.AsyncOperation:
                An object representing a long-running operation.

                The result type for the operation will be :class:`google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore` Vertex AI Feature Online Store provides a centralized repository for serving
                   ML features and embedding indexes at low latency. The
                   Feature Online Store is a top-level container.

        """
        # 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, feature_online_store, feature_online_store_id]
        )
        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, feature_online_store_admin_service.CreateFeatureOnlineStoreRequest
        ):
            request = (
                feature_online_store_admin_service.CreateFeatureOnlineStoreRequest(
                    request
                )
            )

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if parent is not None:
            request.parent = parent
        if feature_online_store is not None:
            request.feature_online_store = feature_online_store
        if feature_online_store_id is not None:
            request.feature_online_store_id = feature_online_store_id

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._client._transport._wrapped_methods[
            self._client._transport.create_feature_online_store
        ]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
        )

        # Validate the universe domain.
        self._client._validate_universe_domain()

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

        # Wrap the response in an operation future.
        response = operation_async.from_gapic(
            response,
            self._client._transport.operations_client,
            gca_feature_online_store.FeatureOnlineStore,
            metadata_type=feature_online_store_admin_service.CreateFeatureOnlineStoreOperationMetadata,
        )

        # Done; return the response.
        return response

    async def get_feature_online_store(
        self,
        request: Optional[
            Union[feature_online_store_admin_service.GetFeatureOnlineStoreRequest, dict]
        ] = None,
        *,
        name: Optional[str] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> feature_online_store.FeatureOnlineStore:
        r"""Gets details of a single FeatureOnlineStore.

        .. 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 aiplatform_v1beta1

            async def sample_get_feature_online_store():
                # Create a client
                client = aiplatform_v1beta1.FeatureOnlineStoreAdminServiceAsyncClient()

                # Initialize request argument(s)
                request = aiplatform_v1beta1.GetFeatureOnlineStoreRequest(
                    name="name_value",
                )

                # Make the request
                response = await client.get_feature_online_store(request=request)

                # Handle the response
                print(response)

        Args:
            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.GetFeatureOnlineStoreRequest, dict]]):
                The request object. Request message for
                [FeatureOnlineStoreAdminService.GetFeatureOnlineStore][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.GetFeatureOnlineStore].
            name (:class:`str`):
                Required. The name of the
                FeatureOnlineStore resource.

                This corresponds to the ``name`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore:
                Vertex AI Feature Online Store
                provides a centralized repository for
                serving ML features and embedding
                indexes at low latency. The Feature
                Online Store is a top-level container.

        """
        # Create or coerce a protobuf request object.
        # - Quick check: If we got a request object, we should *not* have
        #   gotten any keyword arguments that map to the request.
        has_flattened_params = any([name])
        if request is not None and has_flattened_params:
            raise ValueError(
                "If the `request` argument is set, then none of "
                "the individual field arguments should be set."
            )

        # - Use the request object if provided (there's no risk of modifying the input as
        #   there are no flattened fields), or create one.
        if not isinstance(
            request, feature_online_store_admin_service.GetFeatureOnlineStoreRequest
        ):
            request = feature_online_store_admin_service.GetFeatureOnlineStoreRequest(
                request
            )

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if name is not None:
            request.name = name

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._client._transport._wrapped_methods[
            self._client._transport.get_feature_online_store
        ]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._client._validate_universe_domain()

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

        # Done; return the response.
        return response

    async def list_feature_online_stores(
        self,
        request: Optional[
            Union[
                feature_online_store_admin_service.ListFeatureOnlineStoresRequest, 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.ListFeatureOnlineStoresAsyncPager:
        r"""Lists FeatureOnlineStores in a given project and
        location.

        .. code-block:: python

            # This snippet has been automatically generated and should be regarded as a
            # code template only.
            # It will require modifications to work:
            # - It may require correct/in-range values for request initialization.
            # - It may require specifying regional endpoints when creating the service
            #   client as shown in:
            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
            from google.cloud import aiplatform_v1beta1

            async def sample_list_feature_online_stores():
                # Create a client
                client = aiplatform_v1beta1.FeatureOnlineStoreAdminServiceAsyncClient()

                # Initialize request argument(s)
                request = aiplatform_v1beta1.ListFeatureOnlineStoresRequest(
                    parent="parent_value",
                )

                # Make the request
                page_result = client.list_feature_online_stores(request=request)

                # Handle the response
                async for response in page_result:
                    print(response)

        Args:
            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.ListFeatureOnlineStoresRequest, dict]]):
                The request object. Request message for
                [FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores].
            parent (:class:`str`):
                Required. The resource name of the Location to list
                FeatureOnlineStores. Format:
                ``projects/{project}/locations/{location}``

                This corresponds to the ``parent`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureOnlineStoresAsyncPager:
                Response message for
                   [FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores].

                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, feature_online_store_admin_service.ListFeatureOnlineStoresRequest
        ):
            request = feature_online_store_admin_service.ListFeatureOnlineStoresRequest(
                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_feature_online_stores
        ]

        # 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.ListFeatureOnlineStoresAsyncPager(
            method=rpc,
            request=request,
            response=response,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    async def update_feature_online_store(
        self,
        request: Optional[
            Union[
                feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest, dict
            ]
        ] = None,
        *,
        feature_online_store: Optional[
            gca_feature_online_store.FeatureOnlineStore
        ] = None,
        update_mask: Optional[field_mask_pb2.FieldMask] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Updates the parameters of a single
        FeatureOnlineStore.

        .. 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 aiplatform_v1beta1

            async def sample_update_feature_online_store():
                # Create a client
                client = aiplatform_v1beta1.FeatureOnlineStoreAdminServiceAsyncClient()

                # Initialize request argument(s)
                feature_online_store = aiplatform_v1beta1.FeatureOnlineStore()
                feature_online_store.bigtable.auto_scaling.min_node_count = 1489
                feature_online_store.bigtable.auto_scaling.max_node_count = 1491

                request = aiplatform_v1beta1.UpdateFeatureOnlineStoreRequest(
                    feature_online_store=feature_online_store,
                )

                # Make the request
                operation = client.update_feature_online_store(request=request)

                print("Waiting for operation to complete...")

                response = (await operation).result()

                # Handle the response
                print(response)

        Args:
            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.UpdateFeatureOnlineStoreRequest, dict]]):
                The request object. Request message for
                [FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore].
            feature_online_store (:class:`google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore`):
                Required. The FeatureOnlineStore's ``name`` field is
                used to identify the FeatureOnlineStore to be updated.
                Format:
                ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}``

                This corresponds to the ``feature_online_store`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
                Field mask is used to specify the fields to be
                overwritten in the FeatureOnlineStore resource by the
                update. The fields specified in the update_mask are
                relative to the resource, not the full request. A field
                will be overwritten if it is in the mask. If the user
                does not provide a mask then only the non-empty fields
                present in the request will be overwritten. Set the
                update_mask to ``*`` to override all fields.

                Updatable fields:

                -  ``labels``
                -  ``description``
                -  ``bigtable``
                -  ``bigtable.auto_scaling``
                -  ``bigtable.enable_multi_region_replica``

                This corresponds to the ``update_mask`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.api_core.operation_async.AsyncOperation:
                An object representing a long-running operation.

                The result type for the operation will be :class:`google.cloud.aiplatform_v1beta1.types.FeatureOnlineStore` Vertex AI Feature Online Store provides a centralized repository for serving
                   ML features and embedding indexes at low latency. The
                   Feature Online Store is a top-level container.

        """
        # 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([feature_online_store, update_mask])
        if request is not None and has_flattened_params:
            raise ValueError(
                "If the `request` argument is set, then none of "
                "the individual field arguments should be set."
            )

        # - Use the request object if provided (there's no risk of modifying the input as
        #   there are no flattened fields), or create one.
        if not isinstance(
            request, feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest
        ):
            request = (
                feature_online_store_admin_service.UpdateFeatureOnlineStoreRequest(
                    request
                )
            )

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if feature_online_store is not None:
            request.feature_online_store = feature_online_store
        if update_mask is not None:
            request.update_mask = update_mask

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._client._transport._wrapped_methods[
            self._client._transport.update_feature_online_store
        ]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata(
                (("feature_online_store.name", request.feature_online_store.name),)
            ),
        )

        # Validate the universe domain.
        self._client._validate_universe_domain()

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

        # Wrap the response in an operation future.
        response = operation_async.from_gapic(
            response,
            self._client._transport.operations_client,
            gca_feature_online_store.FeatureOnlineStore,
            metadata_type=feature_online_store_admin_service.UpdateFeatureOnlineStoreOperationMetadata,
        )

        # Done; return the response.
        return response

    async def delete_feature_online_store(
        self,
        request: Optional[
            Union[
                feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest, dict
            ]
        ] = None,
        *,
        name: Optional[str] = None,
        force: Optional[bool] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Deletes a single FeatureOnlineStore. The
        FeatureOnlineStore must not contain any FeatureViews.

        .. 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 aiplatform_v1beta1

            async def sample_delete_feature_online_store():
                # Create a client
                client = aiplatform_v1beta1.FeatureOnlineStoreAdminServiceAsyncClient()

                # Initialize request argument(s)
                request = aiplatform_v1beta1.DeleteFeatureOnlineStoreRequest(
                    name="name_value",
                )

                # Make the request
                operation = client.delete_feature_online_store(request=request)

                print("Waiting for operation to complete...")

                response = (await operation).result()

                # Handle the response
                print(response)

        Args:
            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.DeleteFeatureOnlineStoreRequest, dict]]):
                The request object. Request message for
                [FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore].
            name (:class:`str`):
                Required. The name of the FeatureOnlineStore to be
                deleted. Format:
                ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}``

                This corresponds to the ``name`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            force (:class:`bool`):
                If set to true, any FeatureViews and
                Features for this FeatureOnlineStore
                will also be deleted. (Otherwise, the
                request will only work if the
                FeatureOnlineStore has no FeatureViews.)

                This corresponds to the ``force`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.api_core.operation_async.AsyncOperation:
                An object representing a long-running operation.

                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
                   empty messages in your APIs. A typical example is to
                   use it as the request or the response type of an API
                   method. For instance:

                      service Foo {
                         rpc Bar(google.protobuf.Empty) returns
                         (google.protobuf.Empty);

                      }

        """
        # Create or coerce a protobuf request object.
        # - Quick check: If we got a request object, we should *not* have
        #   gotten any keyword arguments that map to the request.
        has_flattened_params = any([name, force])
        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, feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest
        ):
            request = (
                feature_online_store_admin_service.DeleteFeatureOnlineStoreRequest(
                    request
                )
            )

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if name is not None:
            request.name = name
        if force is not None:
            request.force = force

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._client._transport._wrapped_methods[
            self._client._transport.delete_feature_online_store
        ]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._client._validate_universe_domain()

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

        # Wrap the response in an operation future.
        response = operation_async.from_gapic(
            response,
            self._client._transport.operations_client,
            empty_pb2.Empty,
            metadata_type=gca_operation.DeleteOperationMetadata,
        )

        # Done; return the response.
        return response

    async def create_feature_view(
        self,
        request: Optional[
            Union[feature_online_store_admin_service.CreateFeatureViewRequest, dict]
        ] = None,
        *,
        parent: Optional[str] = None,
        feature_view: Optional[gca_feature_view.FeatureView] = None,
        feature_view_id: Optional[str] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Creates a new FeatureView in a given
        FeatureOnlineStore.

        .. 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 aiplatform_v1beta1

            async def sample_create_feature_view():
                # Create a client
                client = aiplatform_v1beta1.FeatureOnlineStoreAdminServiceAsyncClient()

                # Initialize request argument(s)
                feature_view = aiplatform_v1beta1.FeatureView()
                feature_view.big_query_source.uri = "uri_value"
                feature_view.big_query_source.entity_id_columns = ['entity_id_columns_value1', 'entity_id_columns_value2']

                request = aiplatform_v1beta1.CreateFeatureViewRequest(
                    parent="parent_value",
                    feature_view=feature_view,
                    feature_view_id="feature_view_id_value",
                )

                # Make the request
                operation = client.create_feature_view(request=request)

                print("Waiting for operation to complete...")

                response = (await operation).result()

                # Handle the response
                print(response)

        Args:
            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.CreateFeatureViewRequest, dict]]):
                The request object. Request message for
                [FeatureOnlineStoreAdminService.CreateFeatureView][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.CreateFeatureView].
            parent (:class:`str`):
                Required. The resource name of the FeatureOnlineStore to
                create FeatureViews. Format:
                ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}``

                This corresponds to the ``parent`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            feature_view (:class:`google.cloud.aiplatform_v1beta1.types.FeatureView`):
                Required. The FeatureView to create.
                This corresponds to the ``feature_view`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            feature_view_id (:class:`str`):
                Required. The ID to use for the FeatureView, which will
                become the final component of the FeatureView's resource
                name.

                This value may be up to 60 characters, and valid
                characters are ``[a-z0-9_]``. The first character cannot
                be a number.

                The value must be unique within a FeatureOnlineStore.

                This corresponds to the ``feature_view_id`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.api_core.operation_async.AsyncOperation:
                An object representing a long-running operation.

                The result type for the operation will be :class:`google.cloud.aiplatform_v1beta1.types.FeatureView` FeatureView is representation of values that the FeatureOnlineStore will
                   serve based on its syncConfig.

        """
        # 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, feature_view, feature_view_id])
        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, feature_online_store_admin_service.CreateFeatureViewRequest
        ):
            request = feature_online_store_admin_service.CreateFeatureViewRequest(
                request
            )

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if parent is not None:
            request.parent = parent
        if feature_view is not None:
            request.feature_view = feature_view
        if feature_view_id is not None:
            request.feature_view_id = feature_view_id

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._client._transport._wrapped_methods[
            self._client._transport.create_feature_view
        ]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
        )

        # Validate the universe domain.
        self._client._validate_universe_domain()

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

        # Wrap the response in an operation future.
        response = operation_async.from_gapic(
            response,
            self._client._transport.operations_client,
            gca_feature_view.FeatureView,
            metadata_type=feature_online_store_admin_service.CreateFeatureViewOperationMetadata,
        )

        # Done; return the response.
        return response

    async def get_feature_view(
        self,
        request: Optional[
            Union[feature_online_store_admin_service.GetFeatureViewRequest, dict]
        ] = None,
        *,
        name: Optional[str] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> feature_view.FeatureView:
        r"""Gets details of a single FeatureView.

        .. 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 aiplatform_v1beta1

            async def sample_get_feature_view():
                # Create a client
                client = aiplatform_v1beta1.FeatureOnlineStoreAdminServiceAsyncClient()

                # Initialize request argument(s)
                request = aiplatform_v1beta1.GetFeatureViewRequest(
                    name="name_value",
                )

                # Make the request
                response = await client.get_feature_view(request=request)

                # Handle the response
                print(response)

        Args:
            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.GetFeatureViewRequest, dict]]):
                The request object. Request message for
                [FeatureOnlineStoreAdminService.GetFeatureView][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.GetFeatureView].
            name (:class:`str`):
                Required. The name of the FeatureView resource. Format:
                ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}``

                This corresponds to the ``name`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.cloud.aiplatform_v1beta1.types.FeatureView:
                FeatureView is representation of
                values that the FeatureOnlineStore will
                serve based on its syncConfig.

        """
        # Create or coerce a protobuf request object.
        # - Quick check: If we got a request object, we should *not* have
        #   gotten any keyword arguments that map to the request.
        has_flattened_params = any([name])
        if request is not None and has_flattened_params:
            raise ValueError(
                "If the `request` argument is set, then none of "
                "the individual field arguments should be set."
            )

        # - Use the request object if provided (there's no risk of modifying the input as
        #   there are no flattened fields), or create one.
        if not isinstance(
            request, feature_online_store_admin_service.GetFeatureViewRequest
        ):
            request = feature_online_store_admin_service.GetFeatureViewRequest(request)

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if name is not None:
            request.name = name

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._client._transport._wrapped_methods[
            self._client._transport.get_feature_view
        ]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._client._validate_universe_domain()

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

        # Done; return the response.
        return response

    async def list_feature_views(
        self,
        request: Optional[
            Union[feature_online_store_admin_service.ListFeatureViewsRequest, 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.ListFeatureViewsAsyncPager:
        r"""Lists FeatureViews in a given FeatureOnlineStore.

        .. 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 aiplatform_v1beta1

            async def sample_list_feature_views():
                # Create a client
                client = aiplatform_v1beta1.FeatureOnlineStoreAdminServiceAsyncClient()

                # Initialize request argument(s)
                request = aiplatform_v1beta1.ListFeatureViewsRequest(
                    parent="parent_value",
                )

                # Make the request
                page_result = client.list_feature_views(request=request)

                # Handle the response
                async for response in page_result:
                    print(response)

        Args:
            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.ListFeatureViewsRequest, dict]]):
                The request object. Request message for
                [FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.ListFeatureViews].
            parent (:class:`str`):
                Required. The resource name of the FeatureOnlineStore to
                list FeatureViews. Format:
                ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}``

                This corresponds to the ``parent`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureViewsAsyncPager:
                Response message for
                   [FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.ListFeatureViews].

                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, feature_online_store_admin_service.ListFeatureViewsRequest
        ):
            request = feature_online_store_admin_service.ListFeatureViewsRequest(
                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_feature_views
        ]

        # 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.ListFeatureViewsAsyncPager(
            method=rpc,
            request=request,
            response=response,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    async def update_feature_view(
        self,
        request: Optional[
            Union[feature_online_store_admin_service.UpdateFeatureViewRequest, dict]
        ] = None,
        *,
        feature_view: Optional[gca_feature_view.FeatureView] = None,
        update_mask: Optional[field_mask_pb2.FieldMask] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Updates the parameters of a single FeatureView.

        .. 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 aiplatform_v1beta1

            async def sample_update_feature_view():
                # Create a client
                client = aiplatform_v1beta1.FeatureOnlineStoreAdminServiceAsyncClient()

                # Initialize request argument(s)
                feature_view = aiplatform_v1beta1.FeatureView()
                feature_view.big_query_source.uri = "uri_value"
                feature_view.big_query_source.entity_id_columns = ['entity_id_columns_value1', 'entity_id_columns_value2']

                request = aiplatform_v1beta1.UpdateFeatureViewRequest(
                    feature_view=feature_view,
                )

                # Make the request
                operation = client.update_feature_view(request=request)

                print("Waiting for operation to complete...")

                response = (await operation).result()

                # Handle the response
                print(response)

        Args:
            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.UpdateFeatureViewRequest, dict]]):
                The request object. Request message for
                [FeatureOnlineStoreAdminService.UpdateFeatureView][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.UpdateFeatureView].
            feature_view (:class:`google.cloud.aiplatform_v1beta1.types.FeatureView`):
                Required. The FeatureView's ``name`` field is used to
                identify the FeatureView to be updated. Format:
                ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}``

                This corresponds to the ``feature_view`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
                Field mask is used to specify the fields to be
                overwritten in the FeatureView resource by the update.
                The fields specified in the update_mask are relative to
                the resource, not the full request. A field will be
                overwritten if it is in the mask. If the user does not
                provide a mask then only the non-empty fields present in
                the request will be overwritten. Set the update_mask to
                ``*`` to override all fields.

                Updatable fields:

                -  ``labels``
                -  ``service_agent_type``
                -  ``big_query_source``
                -  ``big_query_source.uri``
                -  ``big_query_source.entity_id_columns``
                -  ``feature_registry_source``
                -  ``feature_registry_source.feature_groups``
                -  ``sync_config``
                -  ``sync_config.cron``

                This corresponds to the ``update_mask`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.api_core.operation_async.AsyncOperation:
                An object representing a long-running operation.

                The result type for the operation will be :class:`google.cloud.aiplatform_v1beta1.types.FeatureView` FeatureView is representation of values that the FeatureOnlineStore will
                   serve based on its syncConfig.

        """
        # 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([feature_view, update_mask])
        if request is not None and has_flattened_params:
            raise ValueError(
                "If the `request` argument is set, then none of "
                "the individual field arguments should be set."
            )

        # - Use the request object if provided (there's no risk of modifying the input as
        #   there are no flattened fields), or create one.
        if not isinstance(
            request, feature_online_store_admin_service.UpdateFeatureViewRequest
        ):
            request = feature_online_store_admin_service.UpdateFeatureViewRequest(
                request
            )

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if feature_view is not None:
            request.feature_view = feature_view
        if update_mask is not None:
            request.update_mask = update_mask

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._client._transport._wrapped_methods[
            self._client._transport.update_feature_view
        ]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata(
                (("feature_view.name", request.feature_view.name),)
            ),
        )

        # Validate the universe domain.
        self._client._validate_universe_domain()

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

        # Wrap the response in an operation future.
        response = operation_async.from_gapic(
            response,
            self._client._transport.operations_client,
            gca_feature_view.FeatureView,
            metadata_type=feature_online_store_admin_service.UpdateFeatureViewOperationMetadata,
        )

        # Done; return the response.
        return response

    async def delete_feature_view(
        self,
        request: Optional[
            Union[feature_online_store_admin_service.DeleteFeatureViewRequest, dict]
        ] = None,
        *,
        name: Optional[str] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Deletes a single FeatureView.

        .. 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 aiplatform_v1beta1

            async def sample_delete_feature_view():
                # Create a client
                client = aiplatform_v1beta1.FeatureOnlineStoreAdminServiceAsyncClient()

                # Initialize request argument(s)
                request = aiplatform_v1beta1.DeleteFeatureViewRequest(
                    name="name_value",
                )

                # Make the request
                operation = client.delete_feature_view(request=request)

                print("Waiting for operation to complete...")

                response = (await operation).result()

                # Handle the response
                print(response)

        Args:
            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.DeleteFeatureViewRequest, dict]]):
                The request object. Request message for
                [FeatureOnlineStoreAdminService.DeleteFeatureViews][].
            name (:class:`str`):
                Required. The name of the FeatureView to be deleted.
                Format:
                ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}``

                This corresponds to the ``name`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.api_core.operation_async.AsyncOperation:
                An object representing a long-running operation.

                The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
                   empty messages in your APIs. A typical example is to
                   use it as the request or the response type of an API
                   method. For instance:

                      service Foo {
                         rpc Bar(google.protobuf.Empty) returns
                         (google.protobuf.Empty);

                      }

        """
        # Create or coerce a protobuf request object.
        # - Quick check: If we got a request object, we should *not* have
        #   gotten any keyword arguments that map to the request.
        has_flattened_params = any([name])
        if request is not None and has_flattened_params:
            raise ValueError(
                "If the `request` argument is set, then none of "
                "the individual field arguments should be set."
            )

        # - Use the request object if provided (there's no risk of modifying the input as
        #   there are no flattened fields), or create one.
        if not isinstance(
            request, feature_online_store_admin_service.DeleteFeatureViewRequest
        ):
            request = feature_online_store_admin_service.DeleteFeatureViewRequest(
                request
            )

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if name is not None:
            request.name = name

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._client._transport._wrapped_methods[
            self._client._transport.delete_feature_view
        ]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._client._validate_universe_domain()

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

        # Wrap the response in an operation future.
        response = operation_async.from_gapic(
            response,
            self._client._transport.operations_client,
            empty_pb2.Empty,
            metadata_type=gca_operation.DeleteOperationMetadata,
        )

        # Done; return the response.
        return response

    async def sync_feature_view(
        self,
        request: Optional[
            Union[feature_online_store_admin_service.SyncFeatureViewRequest, dict]
        ] = None,
        *,
        feature_view: Optional[str] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> feature_online_store_admin_service.SyncFeatureViewResponse:
        r"""Triggers on-demand sync for the FeatureView.

        .. 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 aiplatform_v1beta1

            async def sample_sync_feature_view():
                # Create a client
                client = aiplatform_v1beta1.FeatureOnlineStoreAdminServiceAsyncClient()

                # Initialize request argument(s)
                request = aiplatform_v1beta1.SyncFeatureViewRequest(
                    feature_view="feature_view_value",
                )

                # Make the request
                response = await client.sync_feature_view(request=request)

                # Handle the response
                print(response)

        Args:
            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.SyncFeatureViewRequest, dict]]):
                The request object. Request message for
                [FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.SyncFeatureView].
            feature_view (:class:`str`):
                Required. Format:
                ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}``

                This corresponds to the ``feature_view`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.cloud.aiplatform_v1beta1.types.SyncFeatureViewResponse:
                Response message for
                   [FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.SyncFeatureView].

        """
        # 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([feature_view])
        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, feature_online_store_admin_service.SyncFeatureViewRequest
        ):
            request = feature_online_store_admin_service.SyncFeatureViewRequest(request)

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if feature_view is not None:
            request.feature_view = feature_view

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._client._transport._wrapped_methods[
            self._client._transport.sync_feature_view
        ]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata(
                (("feature_view", request.feature_view),)
            ),
        )

        # 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 get_feature_view_sync(
        self,
        request: Optional[
            Union[feature_online_store_admin_service.GetFeatureViewSyncRequest, dict]
        ] = None,
        *,
        name: Optional[str] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> feature_view_sync.FeatureViewSync:
        r"""Gets details of a single FeatureViewSync.

        .. 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 aiplatform_v1beta1

            async def sample_get_feature_view_sync():
                # Create a client
                client = aiplatform_v1beta1.FeatureOnlineStoreAdminServiceAsyncClient()

                # Initialize request argument(s)
                request = aiplatform_v1beta1.GetFeatureViewSyncRequest(
                    name="name_value",
                )

                # Make the request
                response = await client.get_feature_view_sync(request=request)

                # Handle the response
                print(response)

        Args:
            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.GetFeatureViewSyncRequest, dict]]):
                The request object. Request message for
                [FeatureOnlineStoreAdminService.GetFeatureViewSync][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.GetFeatureViewSync].
            name (:class:`str`):
                Required. The name of the FeatureViewSync resource.
                Format:
                ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}/featureViewSyncs/{feature_view_sync}``

                This corresponds to the ``name`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.cloud.aiplatform_v1beta1.types.FeatureViewSync:
                FeatureViewSync is a representation
                of sync operation which copies data from
                data source to Feature View in Online
                Store.

        """
        # Create or coerce a protobuf request object.
        # - Quick check: If we got a request object, we should *not* have
        #   gotten any keyword arguments that map to the request.
        has_flattened_params = any([name])
        if request is not None and has_flattened_params:
            raise ValueError(
                "If the `request` argument is set, then none of "
                "the individual field arguments should be set."
            )

        # - Use the request object if provided (there's no risk of modifying the input as
        #   there are no flattened fields), or create one.
        if not isinstance(
            request, feature_online_store_admin_service.GetFeatureViewSyncRequest
        ):
            request = feature_online_store_admin_service.GetFeatureViewSyncRequest(
                request
            )

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if name is not None:
            request.name = name

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._client._transport._wrapped_methods[
            self._client._transport.get_feature_view_sync
        ]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._client._validate_universe_domain()

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

        # Done; return the response.
        return response

    async def list_feature_view_syncs(
        self,
        request: Optional[
            Union[feature_online_store_admin_service.ListFeatureViewSyncsRequest, 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.ListFeatureViewSyncsAsyncPager:
        r"""Lists FeatureViewSyncs in a given FeatureView.

        .. 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 aiplatform_v1beta1

            async def sample_list_feature_view_syncs():
                # Create a client
                client = aiplatform_v1beta1.FeatureOnlineStoreAdminServiceAsyncClient()

                # Initialize request argument(s)
                request = aiplatform_v1beta1.ListFeatureViewSyncsRequest(
                    parent="parent_value",
                )

                # Make the request
                page_result = client.list_feature_view_syncs(request=request)

                # Handle the response
                async for response in page_result:
                    print(response)

        Args:
            request (Optional[Union[google.cloud.aiplatform_v1beta1.types.ListFeatureViewSyncsRequest, dict]]):
                The request object. Request message for
                [FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs].
            parent (:class:`str`):
                Required. The resource name of the FeatureView to list
                FeatureViewSyncs. Format:
                ``projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}``

                This corresponds to the ``parent`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.cloud.aiplatform_v1beta1.services.feature_online_store_admin_service.pagers.ListFeatureViewSyncsAsyncPager:
                Response message for
                   [FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs].

                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, feature_online_store_admin_service.ListFeatureViewSyncsRequest
        ):
            request = feature_online_store_admin_service.ListFeatureViewSyncsRequest(
                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_feature_view_syncs
        ]

        # 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.ListFeatureViewSyncsAsyncPager(
            method=rpc,
            request=request,
            response=response,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    async def list_operations(
        self,
        request: Optional[operations_pb2.ListOperationsRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operations_pb2.ListOperationsResponse:
        r"""Lists operations that match the specified filter in the request.

        Args:
            request (:class:`~.operations_pb2.ListOperationsRequest`):
                The request object. Request message for
                `ListOperations` method.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
                    if any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.
        Returns:
            ~.operations_pb2.ListOperationsResponse:
                Response message for ``ListOperations`` method.
        """
        # Create or coerce a protobuf request object.
        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = operations_pb2.ListOperationsRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self.transport._wrapped_methods[self._client._transport.list_operations]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._client._validate_universe_domain()

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

        # Done; return the response.
        return response

    async def get_operation(
        self,
        request: Optional[operations_pb2.GetOperationRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operations_pb2.Operation:
        r"""Gets the latest state of a long-running operation.

        Args:
            request (:class:`~.operations_pb2.GetOperationRequest`):
                The request object. Request message for
                `GetOperation` method.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
                    if any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.
        Returns:
            ~.operations_pb2.Operation:
                An ``Operation`` object.
        """
        # Create or coerce a protobuf request object.
        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = operations_pb2.GetOperationRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self.transport._wrapped_methods[self._client._transport.get_operation]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._client._validate_universe_domain()

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

        # Done; return the response.
        return response

    async def delete_operation(
        self,
        request: Optional[operations_pb2.DeleteOperationRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> None:
        r"""Deletes a long-running operation.

        This method indicates that the client is no longer interested
        in the operation result. It does not cancel the operation.
        If the server doesn't support this method, it returns
        `google.rpc.Code.UNIMPLEMENTED`.

        Args:
            request (:class:`~.operations_pb2.DeleteOperationRequest`):
                The request object. Request message for
                `DeleteOperation` method.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
                    if any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.
        Returns:
            None
        """
        # Create or coerce a protobuf request object.
        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = operations_pb2.DeleteOperationRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self.transport._wrapped_methods[self._client._transport.delete_operation]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._client._validate_universe_domain()

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

    async def cancel_operation(
        self,
        request: Optional[operations_pb2.CancelOperationRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> None:
        r"""Starts asynchronous cancellation on a long-running operation.

        The server makes a best effort to cancel the operation, but success
        is not guaranteed.  If the server doesn't support this method, it returns
        `google.rpc.Code.UNIMPLEMENTED`.

        Args:
            request (:class:`~.operations_pb2.CancelOperationRequest`):
                The request object. Request message for
                `CancelOperation` method.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
                    if any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.
        Returns:
            None
        """
        # Create or coerce a protobuf request object.
        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = operations_pb2.CancelOperationRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._client._validate_universe_domain()

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

    async def wait_operation(
        self,
        request: Optional[operations_pb2.WaitOperationRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operations_pb2.Operation:
        r"""Waits until the specified long-running operation is done or reaches at most
        a specified timeout, returning the latest state.

        If the operation is already done, the latest state is immediately returned.
        If the timeout specified is greater than the default HTTP/RPC timeout, the HTTP/RPC
        timeout is used.  If the server does not support this method, it returns
        `google.rpc.Code.UNIMPLEMENTED`.

        Args:
            request (:class:`~.operations_pb2.WaitOperationRequest`):
                The request object. Request message for
                `WaitOperation` method.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
                    if any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.
        Returns:
            ~.operations_pb2.Operation:
                An ``Operation`` object.
        """
        # Create or coerce a protobuf request object.
        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = operations_pb2.WaitOperationRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self.transport._wrapped_methods[self._client._transport.wait_operation]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._client._validate_universe_domain()

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

        # Done; return the response.
        return response

    async def set_iam_policy(
        self,
        request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> policy_pb2.Policy:
        r"""Sets the IAM access control policy on the specified function.

        Replaces any existing policy.

        Args:
            request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`):
                The request object. Request message for `SetIamPolicy`
                method.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.
        Returns:
            ~.policy_pb2.Policy:
                Defines an Identity and Access Management (IAM) policy.
                It is used to specify access control policies for Cloud
                Platform resources.
                A ``Policy`` is a collection of ``bindings``. A
                ``binding`` binds one or more ``members`` to a single
                ``role``. Members can be user accounts, service
                accounts, Google groups, and domains (such as G Suite).
                A ``role`` is a named list of permissions (defined by
                IAM or configured by users). A ``binding`` can
                optionally specify a ``condition``, which is a logic
                expression that further constrains the role binding
                based on attributes about the request and/or target
                resource.

                **JSON Example**

                ::

                    {
                      "bindings": [
                        {
                          "role": "roles/resourcemanager.organizationAdmin",
                          "members": [
                            "user:mike@example.com",
                            "group:admins@example.com",
                            "domain:google.com",
                            "serviceAccount:my-project-id@appspot.gserviceaccount.com"
                          ]
                        },
                        {
                          "role": "roles/resourcemanager.organizationViewer",
                          "members": ["user:eve@example.com"],
                          "condition": {
                            "title": "expirable access",
                            "description": "Does not grant access after Sep 2020",
                            "expression": "request.time <
                            timestamp('2020-10-01T00:00:00.000Z')",
                          }
                        }
                      ]
                    }

                **YAML Example**

                ::

                    bindings:
                    - members:
                      - user:mike@example.com
                      - group:admins@example.com
                      - domain:google.com
                      - serviceAccount:my-project-id@appspot.gserviceaccount.com
                      role: roles/resourcemanager.organizationAdmin
                    - members:
                      - user:eve@example.com
                      role: roles/resourcemanager.organizationViewer
                      condition:
                        title: expirable access
                        description: Does not grant access after Sep 2020
                        expression: request.time < timestamp('2020-10-01T00:00:00.000Z')

                For a description of IAM and its features, see the `IAM
                developer's
                guide <https://cloud.google.com/iam/docs>`__.
        """
        # Create or coerce a protobuf request object.

        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = iam_policy_pb2.SetIamPolicyRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)),
        )

        # 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 get_iam_policy(
        self,
        request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> policy_pb2.Policy:
        r"""Gets the IAM access control policy for a function.

        Returns an empty policy if the function exists and does not have a
        policy set.

        Args:
            request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`):
                The request object. Request message for `GetIamPolicy`
                method.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors, if
                any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.
        Returns:
            ~.policy_pb2.Policy:
                Defines an Identity and Access Management (IAM) policy.
                It is used to specify access control policies for Cloud
                Platform resources.
                A ``Policy`` is a collection of ``bindings``. A
                ``binding`` binds one or more ``members`` to a single
                ``role``. Members can be user accounts, service
                accounts, Google groups, and domains (such as G Suite).
                A ``role`` is a named list of permissions (defined by
                IAM or configured by users). A ``binding`` can
                optionally specify a ``condition``, which is a logic
                expression that further constrains the role binding
                based on attributes about the request and/or target
                resource.

                **JSON Example**

                ::

                    {
                      "bindings": [
                        {
                          "role": "roles/resourcemanager.organizationAdmin",
                          "members": [
                            "user:mike@example.com",
                            "group:admins@example.com",
                            "domain:google.com",
                            "serviceAccount:my-project-id@appspot.gserviceaccount.com"
                          ]
                        },
                        {
                          "role": "roles/resourcemanager.organizationViewer",
                          "members": ["user:eve@example.com"],
                          "condition": {
                            "title": "expirable access",
                            "description": "Does not grant access after Sep 2020",
                            "expression": "request.time <
                            timestamp('2020-10-01T00:00:00.000Z')",
                          }
                        }
                      ]
                    }

                **YAML Example**

                ::

                    bindings:
                    - members:
                      - user:mike@example.com
                      - group:admins@example.com
                      - domain:google.com
                      - serviceAccount:my-project-id@appspot.gserviceaccount.com
                      role: roles/resourcemanager.organizationAdmin
                    - members:
                      - user:eve@example.com
                      role: roles/resourcemanager.organizationViewer
                      condition:
                        title: expirable access
                        description: Does not grant access after Sep 2020
                        expression: request.time < timestamp('2020-10-01T00:00:00.000Z')

                For a description of IAM and its features, see the `IAM
                developer's
                guide <https://cloud.google.com/iam/docs>`__.
        """
        # Create or coerce a protobuf request object.

        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = iam_policy_pb2.GetIamPolicyRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)),
        )

        # 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 test_iam_permissions(
        self,
        request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> iam_policy_pb2.TestIamPermissionsResponse:
        r"""Tests the specified IAM permissions against the IAM access control
            policy for a function.

        If the function does not exist, this will return an empty set
        of permissions, not a NOT_FOUND error.

        Args:
            request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`):
                The request object. Request message for
                `TestIamPermissions` method.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
                 if any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.
        Returns:
            ~.iam_policy_pb2.TestIamPermissionsResponse:
                Response message for ``TestIamPermissions`` method.
        """
        # Create or coerce a protobuf request object.

        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = iam_policy_pb2.TestIamPermissionsRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self.transport._wrapped_methods[
            self._client._transport.test_iam_permissions
        ]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)),
        )

        # 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 get_location(
        self,
        request: Optional[locations_pb2.GetLocationRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> locations_pb2.Location:
        r"""Gets information about a location.

        Args:
            request (:class:`~.location_pb2.GetLocationRequest`):
                The request object. Request message for
                `GetLocation` method.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
                 if any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.
        Returns:
            ~.location_pb2.Location:
                Location object.
        """
        # Create or coerce a protobuf request object.
        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = locations_pb2.GetLocationRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self.transport._wrapped_methods[self._client._transport.get_location]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._client._validate_universe_domain()

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

        # Done; return the response.
        return response

    async def list_locations(
        self,
        request: Optional[locations_pb2.ListLocationsRequest] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> locations_pb2.ListLocationsResponse:
        r"""Lists information about the supported locations for this service.

        Args:
            request (:class:`~.location_pb2.ListLocationsRequest`):
                The request object. Request message for
                `ListLocations` method.
            retry (google.api_core.retry_async.AsyncRetry): Designation of what errors,
                 if any, should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.
        Returns:
            ~.location_pb2.ListLocationsResponse:
                Response message for ``ListLocations`` method.
        """
        # Create or coerce a protobuf request object.
        # The request isn't a proto-plus wrapped type,
        # so it must be constructed via keyword expansion.
        if isinstance(request, dict):
            request = locations_pb2.ListLocationsRequest(**request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self.transport._wrapped_methods[self._client._transport.list_locations]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (
            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
        )

        # Validate the universe domain.
        self._client._validate_universe_domain()

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

        # Done; return the response.
        return response

    async def __aenter__(self) -> "FeatureOnlineStoreAdminServiceAsyncClient":
        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__ = ("FeatureOnlineStoreAdminServiceAsyncClient",)
