# -*- coding: utf-8 -*-
# Copyright 2022 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from collections import OrderedDict
import functools
import re
from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union
import pkg_resources

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 as retries
from google.auth import credentials as ga_credentials  # type: ignore
from google.oauth2 import service_account  # type: ignore

try:
    OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault]
except AttributeError:  # pragma: NO COVER
    OptionalRetry = Union[retries.Retry, object]  # type: ignore

from google.cloud.recommendationengine_v1beta1.services.prediction_service import pagers
from google.cloud.recommendationengine_v1beta1.types import prediction_service
from google.cloud.recommendationengine_v1beta1.types import user_event as gcr_user_event
from .transports.base import PredictionServiceTransport, DEFAULT_CLIENT_INFO
from .transports.grpc_asyncio import PredictionServiceGrpcAsyncIOTransport
from .client import PredictionServiceClient


class PredictionServiceAsyncClient:
    """Service for making recommendation prediction."""

    _client: PredictionServiceClient

    DEFAULT_ENDPOINT = PredictionServiceClient.DEFAULT_ENDPOINT
    DEFAULT_MTLS_ENDPOINT = PredictionServiceClient.DEFAULT_MTLS_ENDPOINT

    placement_path = staticmethod(PredictionServiceClient.placement_path)
    parse_placement_path = staticmethod(PredictionServiceClient.parse_placement_path)
    common_billing_account_path = staticmethod(
        PredictionServiceClient.common_billing_account_path
    )
    parse_common_billing_account_path = staticmethod(
        PredictionServiceClient.parse_common_billing_account_path
    )
    common_folder_path = staticmethod(PredictionServiceClient.common_folder_path)
    parse_common_folder_path = staticmethod(
        PredictionServiceClient.parse_common_folder_path
    )
    common_organization_path = staticmethod(
        PredictionServiceClient.common_organization_path
    )
    parse_common_organization_path = staticmethod(
        PredictionServiceClient.parse_common_organization_path
    )
    common_project_path = staticmethod(PredictionServiceClient.common_project_path)
    parse_common_project_path = staticmethod(
        PredictionServiceClient.parse_common_project_path
    )
    common_location_path = staticmethod(PredictionServiceClient.common_location_path)
    parse_common_location_path = staticmethod(
        PredictionServiceClient.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:
            PredictionServiceAsyncClient: The constructed client.
        """
        return PredictionServiceClient.from_service_account_info.__func__(PredictionServiceAsyncClient, 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:
            PredictionServiceAsyncClient: The constructed client.
        """
        return PredictionServiceClient.from_service_account_file.__func__(PredictionServiceAsyncClient, 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 variabel 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 PredictionServiceClient.get_mtls_endpoint_and_cert_source(client_options)  # type: ignore

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

        Returns:
            PredictionServiceTransport: The transport used by the client instance.
        """
        return self._client.transport

    get_transport_class = functools.partial(
        type(PredictionServiceClient).get_transport_class, type(PredictionServiceClient)
    )

    def __init__(
        self,
        *,
        credentials: ga_credentials.Credentials = None,
        transport: Union[str, PredictionServiceTransport] = "grpc_asyncio",
        client_options: ClientOptions = None,
        client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
    ) -> None:
        """Instantiates the prediction service 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, ~.PredictionServiceTransport]): The
                transport to use. If set to None, a transport is chosen
                automatically.
            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.

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

    async def predict(
        self,
        request: Union[prediction_service.PredictRequest, dict] = None,
        *,
        name: str = None,
        user_event: gcr_user_event.UserEvent = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> pagers.PredictAsyncPager:
        r"""Makes a recommendation prediction. If using API Key based
        authentication, the API Key must be registered using the
        [PredictionApiKeyRegistry][google.cloud.recommendationengine.v1beta1.PredictionApiKeyRegistry]
        service. `Learn
        more </recommendations-ai/docs/setting-up#register-key>`__.

        .. 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 recommendationengine_v1beta1

            async def sample_predict():
                # Create a client
                client = recommendationengine_v1beta1.PredictionServiceAsyncClient()

                # Initialize request argument(s)
                user_event = recommendationengine_v1beta1.UserEvent()
                user_event.event_type = "event_type_value"
                user_event.user_info.visitor_id = "visitor_id_value"

                request = recommendationengine_v1beta1.PredictRequest(
                    name="name_value",
                    user_event=user_event,
                )

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

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

        Args:
            request (Union[google.cloud.recommendationengine_v1beta1.types.PredictRequest, dict]):
                The request object. Request message for Predict method.
            name (:class:`str`):
                Required. Full resource name of the format:
                ``{name=projects/*/locations/global/catalogs/default_catalog/eventStores/default_event_store/placements/*}``
                The id of the recommendation engine placement. This id
                is used to identify the set of models that will be used
                to make the prediction.

                We currently support three placements with the following
                IDs by default:

                -  ``shopping_cart``: Predicts items frequently bought
                   together with one or more catalog items in the same
                   shopping session. Commonly displayed after
                   ``add-to-cart`` events, on product detail pages, or
                   on the shopping cart page.

                -  ``home_page``: Predicts the next product that a user
                   will most likely engage with or purchase based on the
                   shopping or viewing history of the specified
                   ``userId`` or ``visitorId``. For example -
                   Recommendations for you.

                -  ``product_detail``: Predicts the next product that a
                   user will most likely engage with or purchase. The
                   prediction is based on the shopping or viewing
                   history of the specified ``userId`` or ``visitorId``
                   and its relevance to a specified ``CatalogItem``.
                   Typically used on product detail pages. For example -
                   More items like this.

                -  ``recently_viewed_default``: Returns up to 75 items
                   recently viewed by the specified ``userId`` or
                   ``visitorId``, most recent ones first. Returns
                   nothing if neither of them has viewed any items yet.
                   For example - Recently viewed.

                The full list of available placements can be seen at
                https://console.cloud.google.com/recommendation/datafeeds/default_catalog/dashboard

                This corresponds to the ``name`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            user_event (:class:`google.cloud.recommendationengine_v1beta1.types.UserEvent`):
                Required. Context about the user,
                what they are looking at and what action
                they took to trigger the predict
                request. Note that this user event
                detail won't be ingested to userEvent
                logs. Thus, a separate userEvent write
                request is required for event logging.

                This corresponds to the ``user_event`` 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.recommendationengine_v1beta1.services.prediction_service.pagers.PredictAsyncPager:
                Response message for predict method.
                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([name, user_event])
        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."
            )

        request = prediction_service.PredictRequest(request)

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

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.predict,
            default_retry=retries.Retry(
                initial=0.1,
                maximum=60.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(
                    core_exceptions.DeadlineExceeded,
                    core_exceptions.ServiceUnavailable,
                ),
                deadline=600.0,
            ),
            default_timeout=600.0,
            client_info=DEFAULT_CLIENT_INFO,
        )

        # 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 = 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.PredictAsyncPager(
            method=rpc,
            request=request,
            response=response,
            metadata=metadata,
        )

        # Done; return the response.
        return response

    async def __aenter__(self):
        return self

    async def __aexit__(self, exc_type, exc, tb):
        await self.transport.close()


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


__all__ = ("PredictionServiceAsyncClient",)
