# 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, TYPE_CHECKING
from azure.core import PipelineClient
from azure.core.rest import HttpRequest, HttpResponse
from ._configuration import ConversationAnalysisClientConfiguration
from ._operations import ConversationAnalysisClientOperationsMixin
from ._serialization import Deserializer, Serializer
if TYPE_CHECKING:
# pylint: disable=unused-import,ungrouped-imports
from azure.core.credentials import TokenCredential
class ConversationAnalysisClient(
ConversationAnalysisClientOperationsMixin
): # pylint: disable=client-accepts-api-version-keyword
"""The language service conversations API is a suite of natural language processing (NLP) skills
that can be used to analyze structured conversations (textual or spoken). Further documentation
can be found in https://docs.microsoft.com/azure/cognitive-services/language-service/overview.
:param endpoint: Supported Cognitive Services endpoint (e.g.,
https://:code:`<resource-name>`.cognitiveservices.azure.com). Required.
:type endpoint: str
:param credential: Credential needed for the client to connect to Azure. Required.
:type credential: ~azure.core.credentials.TokenCredential
:keyword api_version: Api Version. Default value is "2023-04-01". Note that overriding this
default value may result in unsupported behavior.
:paramtype api_version: str
:keyword int polling_interval: Default waiting time between two polls for LRO operations if no
Retry-After header is present.
"""
def __init__(self, endpoint: str, credential: "TokenCredential", **kwargs: Any) -> None:
_endpoint = "{Endpoint}/language"
self._config = ConversationAnalysisClientConfiguration(endpoint=endpoint, credential=credential, **kwargs)
self._client: PipelineClient = PipelineClient(base_url=_endpoint, config=self._config, **kwargs)
self._serialize = Serializer()
self._deserialize = Deserializer()
self._serialize.client_side_validation = False
[docs] def send_request(self, request: HttpRequest, **kwargs: Any) -> HttpResponse:
"""Runs the network request through the client's chained policies.
>>> from azure.core.rest import HttpRequest
>>> request = HttpRequest("GET", "https://www.example.org/")
<HttpRequest [GET], url: 'https://www.example.org/'>
>>> response = client.send_request(request)
<HttpResponse: 200 OK>
For more information on this code flow, see https://aka.ms/azsdk/dpcodegen/python/send_request
:param request: The network request you want to make. Required.
:type request: ~azure.core.rest.HttpRequest
: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: ~azure.core.rest.HttpResponse
"""
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] def close(self) -> None:
self._client.close()
def __enter__(self) -> "ConversationAnalysisClient":
self._client.__enter__()
return self
def __exit__(self, *exc_details: Any) -> None:
self._client.__exit__(*exc_details)