Source code for

# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------

from copy import deepcopy
from typing import Any, Awaitable, Optional

from azure.core import AsyncPipelineClient
from azure.core.credentials import AzureKeyCredential
from import AsyncHttpResponse, HttpRequest
from msrest import Deserializer, Serializer

from .. import models
from ._configuration import ConversationAnalysisClientConfiguration
from .operations import ConversationAnalysisClientOperationsMixin

[docs]class ConversationAnalysisClient(ConversationAnalysisClientOperationsMixin): """This API accepts a request and mediates among multiple language projects, such as LUIS Generally Available, Question Answering, Conversation, and then calls the best candidate service to handle the request. At last, it returns a response with the candidate service's response as a payload. In some cases, this API needs to forward requests and responses between the caller and an upstream service. :param endpoint: Supported Cognitive Services endpoint (e.g., https://:code:`<resource-name>` :type endpoint: str :param credential: Credential needed for the client to connect to Azure. :type credential: ~azure.core.credentials.AzureKeyCredential """ def __init__( self, endpoint: str, credential: AzureKeyCredential, **kwargs: Any ) -> None: _endpoint = '{Endpoint}/language' self._config = ConversationAnalysisClientConfiguration(endpoint, credential, **kwargs) self._client = AsyncPipelineClient(base_url=_endpoint, config=self._config, **kwargs) client_models = {k: v for k, v in models.__dict__.items() if isinstance(v, type)} self._serialize = Serializer(client_models) self._deserialize = Deserializer(client_models) self._serialize.client_side_validation = False
[docs] def send_request( self, request: HttpRequest, **kwargs: Any ) -> Awaitable[AsyncHttpResponse]: """Runs the network request through the client's chained policies. >>> from import HttpRequest >>> request = HttpRequest("GET", "") <HttpRequest [GET], url: ''> >>> response = await client.send_request(request) <AsyncHttpResponse: 200 OK> For more information on this code flow, see :param request: The network request you want to make. Required. :type request: :keyword bool stream: Whether the response payload will be streamed. Defaults to False. :return: The response of your network call. Does not do error handling on your response. :rtype: """ request_copy = deepcopy(request) path_format_arguments = { "Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True), } request_copy.url = self._client.format_url(request_copy.url, **path_format_arguments) return self._client.send_request(request_copy, **kwargs)
[docs] async def close(self) -> None: await self._client.close()
async def __aenter__(self) -> "ConversationAnalysisClient": await self._client.__aenter__() return self async def __aexit__(self, *exc_details) -> None: await self._client.__aexit__(*exc_details)