# 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 TYPE_CHECKING
from azure.core import PipelineClient
from msrest import Deserializer, Serializer
from . import models
from ._configuration import QuestionAnsweringClientConfiguration
from ._operations import QuestionAnsweringClientOperationsMixin
if TYPE_CHECKING:
# pylint: disable=unused-import,ungrouped-imports
from typing import Any, Optional
from azure.core.credentials import AzureKeyCredential
from azure.core.rest import HttpRequest, HttpResponse
[docs]class QuestionAnsweringClient(QuestionAnsweringClientOperationsMixin):
"""The language service API is a suite of natural language processing (NLP) skills built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction, language detection and question answering. Further documentation can be found in https://docs.microsoft.com/azure/cognitive-services/text-analytics/overview
:param endpoint: Supported Cognitive Services endpoint (e.g.,
https://<resource-name>.api.cognitiveservices.azure.com).
:type endpoint: str
:param credential: Credential needed for the client to connect to Azure.
:type credential: ~azure.core.credentials.AzureKeyCredential
:keyword str default_language: Sets the default language to use for all operations.
"""
def __init__(
self,
endpoint, # type: str
credential, # type: AzureKeyCredential
**kwargs # type: Any
):
# type: (...) -> None
_endpoint = "{Endpoint}/language"
self._config = QuestionAnsweringClientConfiguration(endpoint, credential, **kwargs)
self._client = PipelineClient(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
self._default_language = kwargs.pop("default_language", None)
[docs] def send_request(
self,
request, # type: HttpRequest
**kwargs # type: Any
):
# type: (...) -> 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/python/protocol/quickstart
: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):
# type: () -> None
self._client.close()
def __enter__(self):
# type: () -> QuestionAnsweringClient
self._client.__enter__()
return self
def __exit__(self, *exc_details):
# type: (Any) -> None
self._client.__exit__(*exc_details)