# -*- coding: utf-8 -*-

# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

from collections import OrderedDict
from distutils import util
import os
import re
from typing import Callable, Dict, Optional, Sequence, Tuple, Type, Union
import pkg_resources

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

from google.cloud.speech_v1p1beta1.services.adaptation import pagers
from google.cloud.speech_v1p1beta1.types import cloud_speech_adaptation
from google.cloud.speech_v1p1beta1.types import resource

from .transports.base import AdaptationTransport, DEFAULT_CLIENT_INFO
from .transports.grpc import AdaptationGrpcTransport
from .transports.grpc_asyncio import AdaptationGrpcAsyncIOTransport


class AdaptationClientMeta(type):
    """Metaclass for the Adaptation client.

    This provides class-level methods for building and retrieving
    support objects (e.g. transport) without polluting the client instance
    objects.
    """

    _transport_registry = OrderedDict()  # type: Dict[str, Type[AdaptationTransport]]
    _transport_registry["grpc"] = AdaptationGrpcTransport
    _transport_registry["grpc_asyncio"] = AdaptationGrpcAsyncIOTransport

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

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

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

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


class AdaptationClient(metaclass=AdaptationClientMeta):
    """Service that implements Google Cloud Speech Adaptation API."""

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

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

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

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

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

    DEFAULT_ENDPOINT = "speech.googleapis.com"
    DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__(  # type: ignore
        DEFAULT_ENDPOINT
    )

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

    @classmethod
    def from_service_account_file(cls, filename: str, *args, **kwargs):
        """Creates an instance of this client using the provided credentials
        file.

        Args:
            filename (str): The path to the service account private key json
                file.
            args: Additional arguments to pass to the constructor.
            kwargs: Additional arguments to pass to the constructor.

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

    from_service_account_json = from_service_account_file

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    def __init__(
        self,
        *,
        credentials: Optional[credentials.Credentials] = None,
        transport: Union[str, AdaptationTransport, None] = None,
        client_options: Optional[client_options_lib.ClientOptions] = None,
        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
    ) -> None:
        """Instantiate the adaptation 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 (Union[str, AdaptationTransport]): The
                transport to use. If set to None, a transport is chosen
                automatically.
            client_options (google.api_core.client_options.ClientOptions): Custom options for the
                client. It won't take effect if a ``transport`` instance is provided.
                (1) The ``api_endpoint`` property can be used to override the
                default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
                environment variable can also be used to override the endpoint:
                "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). However, the ``api_endpoint`` property takes
                precedence if provided.
                (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
                is "true", then the ``client_cert_source`` property can be used
                to provide client certificate for mutual TLS 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.
            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.
        """
        if isinstance(client_options, dict):
            client_options = client_options_lib.from_dict(client_options)
        if client_options is None:
            client_options = client_options_lib.ClientOptions()

        # Create SSL credentials for mutual TLS if needed.
        use_client_cert = bool(
            util.strtobool(os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false"))
        )

        client_cert_source_func = None
        is_mtls = False
        if use_client_cert:
            if client_options.client_cert_source:
                is_mtls = True
                client_cert_source_func = client_options.client_cert_source
            else:
                is_mtls = mtls.has_default_client_cert_source()
                client_cert_source_func = (
                    mtls.default_client_cert_source() if is_mtls else None
                )

        # Figure out which api endpoint to use.
        if client_options.api_endpoint is not None:
            api_endpoint = client_options.api_endpoint
        else:
            use_mtls_env = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
            if use_mtls_env == "never":
                api_endpoint = self.DEFAULT_ENDPOINT
            elif use_mtls_env == "always":
                api_endpoint = self.DEFAULT_MTLS_ENDPOINT
            elif use_mtls_env == "auto":
                api_endpoint = (
                    self.DEFAULT_MTLS_ENDPOINT if is_mtls else self.DEFAULT_ENDPOINT
                )
            else:
                raise MutualTLSChannelError(
                    "Unsupported GOOGLE_API_USE_MTLS_ENDPOINT value. Accepted values: never, auto, always"
                )

        # Save or instantiate the transport.
        # Ordinarily, we provide the transport, but allowing a custom transport
        # instance provides an extensibility point for unusual situations.
        if isinstance(transport, AdaptationTransport):
            # transport is a AdaptationTransport instance.
            if credentials or client_options.credentials_file:
                raise ValueError(
                    "When providing a transport instance, "
                    "provide its credentials directly."
                )
            if client_options.scopes:
                raise ValueError(
                    "When providing a transport instance, "
                    "provide its scopes directly."
                )
            self._transport = transport
        else:
            Transport = type(self).get_transport_class(transport)
            self._transport = Transport(
                credentials=credentials,
                credentials_file=client_options.credentials_file,
                host=api_endpoint,
                scopes=client_options.scopes,
                client_cert_source_for_mtls=client_cert_source_func,
                quota_project_id=client_options.quota_project_id,
                client_info=client_info,
            )

    def create_phrase_set(
        self,
        request: cloud_speech_adaptation.CreatePhraseSetRequest = None,
        *,
        parent: str = None,
        phrase_set: resource.PhraseSet = None,
        phrase_set_id: str = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> resource.PhraseSet:
        r"""Create a set of phrase hints. Each item in the set
        can be a single word or a multi-word phrase. The items
        in the PhraseSet are favored by the recognition model
        when you send a call that includes the PhraseSet.

        Args:
            request (google.cloud.speech_v1p1beta1.types.CreatePhraseSetRequest):
                The request object. Message sent by the client for the
                `CreatePhraseSet` method.
            parent (str):
                Required. The parent resource where this phrase set will
                be created. Format:
                {api_version}/projects/{project}/locations/{location}/phraseSets

                This corresponds to the ``parent`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            phrase_set (google.cloud.speech_v1p1beta1.types.PhraseSet):
                Required. The phrase set to create.
                This corresponds to the ``phrase_set`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            phrase_set_id (str):
                The ID to use for the phrase set, which will become the
                final component of the phrase set's resource name.

                This value should be 4-63 characters, and valid
                characters are /[a-z][0-9]-/.

                This corresponds to the ``phrase_set_id`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.

            retry (google.api_core.retry.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.cloud.speech_v1p1beta1.types.PhraseSet:
                Provides "hints" to the speech
                recognizer to favor specific words and
                phrases in the results.

        """
        # Create or coerce a protobuf request object.
        # Sanity 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, phrase_set, phrase_set_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."
            )

        # Minor optimization to avoid making a copy if the user passes
        # in a cloud_speech_adaptation.CreatePhraseSetRequest.
        # There's no risk of modifying the input as we've already verified
        # there are no flattened fields.
        if not isinstance(request, cloud_speech_adaptation.CreatePhraseSetRequest):
            request = cloud_speech_adaptation.CreatePhraseSetRequest(request)

            # If we have keyword arguments corresponding to fields on the
            # request, apply these.

            if parent is not None:
                request.parent = parent
            if phrase_set is not None:
                request.phrase_set = phrase_set
            if phrase_set_id is not None:
                request.phrase_set_id = phrase_set_id

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

        # 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),)),
        )

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

        # Done; return the response.
        return response

    def get_phrase_set(
        self,
        request: cloud_speech_adaptation.GetPhraseSetRequest = None,
        *,
        name: str = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> resource.PhraseSet:
        r"""Get a phrase set.

        Args:
            request (google.cloud.speech_v1p1beta1.types.GetPhraseSetRequest):
                The request object. Message sent by the client for the
                `GetPhraseSet` method.
            name (str):
                Required. The name of the phrase set to retrieve.
                Format:
                {api_version}/projects/{project}/locations/{location}/phraseSets/{phrase_set}

                This corresponds to the ``name`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.

            retry (google.api_core.retry.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.cloud.speech_v1p1beta1.types.PhraseSet:
                Provides "hints" to the speech
                recognizer to favor specific words and
                phrases in the results.

        """
        # Create or coerce a protobuf request object.
        # Sanity 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."
            )

        # Minor optimization to avoid making a copy if the user passes
        # in a cloud_speech_adaptation.GetPhraseSetRequest.
        # There's no risk of modifying the input as we've already verified
        # there are no flattened fields.
        if not isinstance(request, cloud_speech_adaptation.GetPhraseSetRequest):
            request = cloud_speech_adaptation.GetPhraseSetRequest(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._transport._wrapped_methods[self._transport.get_phrase_set]

        # 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),)),
        )

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

        # Done; return the response.
        return response

    def list_phrase_set(
        self,
        request: cloud_speech_adaptation.ListPhraseSetRequest = None,
        *,
        parent: str = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> pagers.ListPhraseSetPager:
        r"""List phrase sets.

        Args:
            request (google.cloud.speech_v1p1beta1.types.ListPhraseSetRequest):
                The request object. Message sent by the client for the
                `ListPhraseSet` method.
            parent (str):
                Required. The parent, which owns this
                collection of phrase set. 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.Retry): 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.speech_v1p1beta1.services.adaptation.pagers.ListPhraseSetPager:
                Message returned to the client by the ListPhraseSet
                method.

                Iterating over this object will yield results and
                resolve additional pages automatically.

        """
        # Create or coerce a protobuf request object.
        # Sanity 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."
            )

        # Minor optimization to avoid making a copy if the user passes
        # in a cloud_speech_adaptation.ListPhraseSetRequest.
        # There's no risk of modifying the input as we've already verified
        # there are no flattened fields.
        if not isinstance(request, cloud_speech_adaptation.ListPhraseSetRequest):
            request = cloud_speech_adaptation.ListPhraseSetRequest(request)

            # If we have keyword arguments corresponding to fields on the
            # request, apply these.

            if parent is not None:
                request.parent = parent

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

        # 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),)),
        )

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

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

        # Done; return the response.
        return response

    def update_phrase_set(
        self,
        request: cloud_speech_adaptation.UpdatePhraseSetRequest = None,
        *,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> resource.PhraseSet:
        r"""Update a phrase set.

        Args:
            request (google.cloud.speech_v1p1beta1.types.UpdatePhraseSetRequest):
                The request object. Message sent by the client for the
                `UpdatePhraseSet` method.

            retry (google.api_core.retry.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.cloud.speech_v1p1beta1.types.PhraseSet:
                Provides "hints" to the speech
                recognizer to favor specific words and
                phrases in the results.

        """
        # Create or coerce a protobuf request object.

        # Minor optimization to avoid making a copy if the user passes
        # in a cloud_speech_adaptation.UpdatePhraseSetRequest.
        # There's no risk of modifying the input as we've already verified
        # there are no flattened fields.
        if not isinstance(request, cloud_speech_adaptation.UpdatePhraseSetRequest):
            request = cloud_speech_adaptation.UpdatePhraseSetRequest(request)

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

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

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

        # Done; return the response.
        return response

    def delete_phrase_set(
        self,
        request: cloud_speech_adaptation.DeletePhraseSetRequest = None,
        *,
        name: str = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> None:
        r"""Delete a phrase set.

        Args:
            request (google.cloud.speech_v1p1beta1.types.DeletePhraseSetRequest):
                The request object. Message sent by the client for the
                `DeletePhraseSet` method.
            name (str):
                Required. The name of the phrase set to delete. Format:
                {api_version}/projects/{project}/locations/{location}/phraseSets/{phrase_set}

                This corresponds to the ``name`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.

            retry (google.api_core.retry.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.
        """
        # Create or coerce a protobuf request object.
        # Sanity 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."
            )

        # Minor optimization to avoid making a copy if the user passes
        # in a cloud_speech_adaptation.DeletePhraseSetRequest.
        # There's no risk of modifying the input as we've already verified
        # there are no flattened fields.
        if not isinstance(request, cloud_speech_adaptation.DeletePhraseSetRequest):
            request = cloud_speech_adaptation.DeletePhraseSetRequest(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._transport._wrapped_methods[self._transport.delete_phrase_set]

        # 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),)),
        )

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

    def create_custom_class(
        self,
        request: cloud_speech_adaptation.CreateCustomClassRequest = None,
        *,
        parent: str = None,
        custom_class: resource.CustomClass = None,
        custom_class_id: str = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> resource.CustomClass:
        r"""Create a custom class.

        Args:
            request (google.cloud.speech_v1p1beta1.types.CreateCustomClassRequest):
                The request object. Message sent by the client for the
                `CreateCustomClass` method.
            parent (str):
                Required. The parent resource where this custom class
                will be created. Format:
                {api_version}/projects/{project}/locations/{location}/customClasses

                This corresponds to the ``parent`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            custom_class (google.cloud.speech_v1p1beta1.types.CustomClass):
                Required. The custom class to create.
                This corresponds to the ``custom_class`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            custom_class_id (str):
                The ID to use for the custom class, which will become
                the final component of the custom class' resource name.

                This value should be 4-63 characters, and valid
                characters are /[a-z][0-9]-/.

                This corresponds to the ``custom_class_id`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.

            retry (google.api_core.retry.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.cloud.speech_v1p1beta1.types.CustomClass:
                A set of words or phrases that
                represents a common concept likely to
                appear in your audio, for example a list
                of passenger ship names. CustomClass
                items can be substituted into
                placeholders that you set in PhraseSet
                phrases.

        """
        # Create or coerce a protobuf request object.
        # Sanity 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, custom_class, custom_class_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."
            )

        # Minor optimization to avoid making a copy if the user passes
        # in a cloud_speech_adaptation.CreateCustomClassRequest.
        # There's no risk of modifying the input as we've already verified
        # there are no flattened fields.
        if not isinstance(request, cloud_speech_adaptation.CreateCustomClassRequest):
            request = cloud_speech_adaptation.CreateCustomClassRequest(request)

            # If we have keyword arguments corresponding to fields on the
            # request, apply these.

            if parent is not None:
                request.parent = parent
            if custom_class is not None:
                request.custom_class = custom_class
            if custom_class_id is not None:
                request.custom_class_id = custom_class_id

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

        # 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),)),
        )

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

        # Done; return the response.
        return response

    def get_custom_class(
        self,
        request: cloud_speech_adaptation.GetCustomClassRequest = None,
        *,
        name: str = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> resource.CustomClass:
        r"""Get a custom class.

        Args:
            request (google.cloud.speech_v1p1beta1.types.GetCustomClassRequest):
                The request object. Message sent by the client for the
                `GetCustomClass` method.
            name (str):
                Required. The name of the custom class to retrieve.
                Format:
                {api_version}/projects/{project}/locations/{location}/customClasses/{custom_class}

                This corresponds to the ``name`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.

            retry (google.api_core.retry.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.cloud.speech_v1p1beta1.types.CustomClass:
                A set of words or phrases that
                represents a common concept likely to
                appear in your audio, for example a list
                of passenger ship names. CustomClass
                items can be substituted into
                placeholders that you set in PhraseSet
                phrases.

        """
        # Create or coerce a protobuf request object.
        # Sanity 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."
            )

        # Minor optimization to avoid making a copy if the user passes
        # in a cloud_speech_adaptation.GetCustomClassRequest.
        # There's no risk of modifying the input as we've already verified
        # there are no flattened fields.
        if not isinstance(request, cloud_speech_adaptation.GetCustomClassRequest):
            request = cloud_speech_adaptation.GetCustomClassRequest(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._transport._wrapped_methods[self._transport.get_custom_class]

        # 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),)),
        )

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

        # Done; return the response.
        return response

    def list_custom_classes(
        self,
        request: cloud_speech_adaptation.ListCustomClassesRequest = None,
        *,
        parent: str = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> pagers.ListCustomClassesPager:
        r"""List custom classes.

        Args:
            request (google.cloud.speech_v1p1beta1.types.ListCustomClassesRequest):
                The request object. Message sent by the client for the
                `ListCustomClasses` method.
            parent (str):
                Required. The parent, which owns this collection of
                custom classes. Format:
                {api_version}/projects/{project}/locations/{location}/customClasses

                This corresponds to the ``parent`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.

            retry (google.api_core.retry.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.cloud.speech_v1p1beta1.services.adaptation.pagers.ListCustomClassesPager:
                Message returned to the client by the ListCustomClasses
                method.

                Iterating over this object will yield results and
                resolve additional pages automatically.

        """
        # Create or coerce a protobuf request object.
        # Sanity 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."
            )

        # Minor optimization to avoid making a copy if the user passes
        # in a cloud_speech_adaptation.ListCustomClassesRequest.
        # There's no risk of modifying the input as we've already verified
        # there are no flattened fields.
        if not isinstance(request, cloud_speech_adaptation.ListCustomClassesRequest):
            request = cloud_speech_adaptation.ListCustomClassesRequest(request)

            # If we have keyword arguments corresponding to fields on the
            # request, apply these.

            if parent is not None:
                request.parent = parent

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

        # 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),)),
        )

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

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

        # Done; return the response.
        return response

    def update_custom_class(
        self,
        request: cloud_speech_adaptation.UpdateCustomClassRequest = None,
        *,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> resource.CustomClass:
        r"""Update a custom class.

        Args:
            request (google.cloud.speech_v1p1beta1.types.UpdateCustomClassRequest):
                The request object. Message sent by the client for the
                `UpdateCustomClass` method.

            retry (google.api_core.retry.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.cloud.speech_v1p1beta1.types.CustomClass:
                A set of words or phrases that
                represents a common concept likely to
                appear in your audio, for example a list
                of passenger ship names. CustomClass
                items can be substituted into
                placeholders that you set in PhraseSet
                phrases.

        """
        # Create or coerce a protobuf request object.

        # Minor optimization to avoid making a copy if the user passes
        # in a cloud_speech_adaptation.UpdateCustomClassRequest.
        # There's no risk of modifying the input as we've already verified
        # there are no flattened fields.
        if not isinstance(request, cloud_speech_adaptation.UpdateCustomClassRequest):
            request = cloud_speech_adaptation.UpdateCustomClassRequest(request)

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

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

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

        # Done; return the response.
        return response

    def delete_custom_class(
        self,
        request: cloud_speech_adaptation.DeleteCustomClassRequest = None,
        *,
        name: str = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> None:
        r"""Delete a custom class.

        Args:
            request (google.cloud.speech_v1p1beta1.types.DeleteCustomClassRequest):
                The request object. Message sent by the client for the
                `DeleteCustomClass` method.
            name (str):
                Required. The name of the custom class to delete.
                Format:
                {api_version}/projects/{project}/locations/{location}/customClasses/{custom_class}

                This corresponds to the ``name`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.

            retry (google.api_core.retry.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.
        """
        # Create or coerce a protobuf request object.
        # Sanity 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."
            )

        # Minor optimization to avoid making a copy if the user passes
        # in a cloud_speech_adaptation.DeleteCustomClassRequest.
        # There's no risk of modifying the input as we've already verified
        # there are no flattened fields.
        if not isinstance(request, cloud_speech_adaptation.DeleteCustomClassRequest):
            request = cloud_speech_adaptation.DeleteCustomClassRequest(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._transport._wrapped_methods[self._transport.delete_custom_class]

        # 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),)),
        )

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


try:
    DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
        gapic_version=pkg_resources.get_distribution("google-cloud-speech",).version,
    )
except pkg_resources.DistributionNotFound:
    DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo()


__all__ = ("AdaptationClient",)
