Source code for azure.ai.language.conversations._patch

# coding=utf-8
# --------------------------------------------------------------------------
#
# Copyright (c) Microsoft Corporation. All rights reserved.
#
# The MIT License (MIT)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the ""Software""), to
# deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
# sell copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
# IN THE SOFTWARE.
#
# --------------------------------------------------------------------------

# This file is used for handwritten extensions to the generated code. Example:
# https://github.com/Azure/azure-sdk-for-python/blob/azure-ai-language-conversations_1.1.0/doc/dev/customize_code/how-to-patch-sdk-code.md

from typing import List, Union, Any
from azure.core.credentials import AzureKeyCredential, TokenCredential
from azure.core.pipeline.policies import AzureKeyCredentialPolicy
from ._client import ConversationAnalysisClient as GeneratedConversationAnalysisClient

POLLING_INTERVAL_DEFAULT = 5


def _authentication_policy(credential):
    authentication_policy = None
    if credential is None:
        raise ValueError("Parameter 'credential' must not be None.")
    if isinstance(credential, AzureKeyCredential):
        authentication_policy = AzureKeyCredentialPolicy(name="Ocp-Apim-Subscription-Key", credential=credential)
    elif credential is not None and not hasattr(credential, "get_token"):
        raise TypeError(
            f"Unsupported credential: {type(credential)}. Use an instance of AzureKeyCredential "
            "or a token credential from azure.identity"
        )
    return authentication_policy


[docs]class ConversationAnalysisClient(GeneratedConversationAnalysisClient): """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. This can be the an instance of AzureKeyCredential if using a Language API key or a token credential from :mod:`azure.identity`. :type credential: ~azure.core.credentials.AzureKeyCredential or ~azure.core.credentials.TokenCredential :keyword api_version: Api Version. Available values are "2023-04-01" and "2022-05-01". 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: Union[AzureKeyCredential, TokenCredential], **kwargs: Any) -> None: try: endpoint = endpoint.rstrip("/") except AttributeError: raise ValueError("Parameter 'endpoint' must be a string.") super().__init__( endpoint=endpoint, credential=credential, # type: ignore authentication_policy=kwargs.pop("authentication_policy", _authentication_policy(credential)), polling_interval=kwargs.pop("polling_interval", POLLING_INTERVAL_DEFAULT), **kwargs, )
__all__: List[str] = ["ConversationAnalysisClient"] def patch_sdk(): pass