# pylint: disable=too-many-lines
# 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 typing import Any, Callable, Dict, Optional, TypeVar

from msrest import Serializer

from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport import HttpResponse
from azure.core.rest import HttpRequest
from azure.core.tracing.decorator import distributed_trace
from azure.core.utils import case_insensitive_dict

from .. import models as _models
from .._vendor import MixinABC
T = TypeVar('T')
JSONType = Any
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]]

_SERIALIZER = Serializer()
_SERIALIZER.client_side_validation = False

def build_analyze_conversation_request(
    *,
    json: JSONType = None,
    content: Any = None,
    **kwargs: Any
) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version = kwargs.pop('api_version', _params.pop('api-version', "2022-03-01-preview"))  # type: str
    content_type = kwargs.pop('content_type', _headers.pop('Content-Type', None))  # type: Optional[str]
    accept = _headers.pop('Accept', "application/json")

    # Construct URL
    _url = "/:analyze-conversations"

    # Construct parameters
    _params['api-version'] = _SERIALIZER.query("api_version", api_version, 'str')

    # Construct headers
    if content_type is not None:
        _headers['Content-Type'] = _SERIALIZER.header("content_type", content_type, 'str')
    _headers['Accept'] = _SERIALIZER.header("accept", accept, 'str')

    return HttpRequest(
        method="POST",
        url=_url,
        params=_params,
        headers=_headers,
        json=json,
        content=content,
        **kwargs
    )

class ConversationAnalysisClientOperationsMixin(MixinABC):

    @distributed_trace
    def analyze_conversation(
        self,
        task: _models.AnalyzeConversationTask,
        **kwargs: Any
    ) -> _models.AnalyzeConversationTaskResult:
        """Analyzes the input conversation utterance.

        :param task: A single conversational task to execute.
        :type task: ~azure.ai.language.conversations.models.AnalyzeConversationTask
        :return: AnalyzeConversationTaskResult
        :rtype: ~azure.ai.language.conversations.models.AnalyzeConversationTaskResult
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

        api_version = kwargs.pop('api_version', _params.pop('api-version', "2022-03-01-preview"))  # type: str
        content_type = kwargs.pop('content_type', _headers.pop('Content-Type', "application/json"))  # type: Optional[str]
        cls = kwargs.pop('cls', None)  # type: ClsType[_models.AnalyzeConversationTaskResult]

        _json = self._serialize.body(task, 'AnalyzeConversationTask')

        request = build_analyze_conversation_request(
            api_version=api_version,
            content_type=content_type,
            json=_json,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
        }
        request.url = self._client.format_url(request.url, **path_format_arguments)  # type: ignore

        pipeline_response = self._client._pipeline.run(  # type: ignore # pylint: disable=protected-access
            request,
            stream=False,
            **kwargs
        )
        response = pipeline_response.http_response

        if response.status_code not in [200]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, pipeline_response)
            raise HttpResponseError(response=response, model=error)

        deserialized = self._deserialize('AnalyzeConversationTaskResult', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized



# pylint: disable=too-many-lines
# 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 typing import Any, Callable, Dict, Optional, TypeVar

from msrest import Serializer

from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport import HttpResponse
from azure.core.rest import HttpRequest
from azure.core.tracing.decorator import distributed_trace
from azure.core.utils import case_insensitive_dict

from .. import models as _models
from .._vendor import MixinABC
T = TypeVar('T')
JSONType = Any
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]]

_SERIALIZER = Serializer()
_SERIALIZER.client_side_validation = False

def build_analyze_conversation_request(
    *,
    json: JSONType = None,
    content: Any = None,
    **kwargs: Any
) -> HttpRequest:
    _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
    _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

    api_version = kwargs.pop('api_version', _params.pop('api-version', "2022-03-01-preview"))  # type: str
    content_type = kwargs.pop('content_type', _headers.pop('Content-Type', None))  # type: Optional[str]
    accept = _headers.pop('Accept', "application/json")

    # Construct URL
    _url = "/:analyze-conversations"

    # Construct parameters
    _params['api-version'] = _SERIALIZER.query("api_version", api_version, 'str')

    # Construct headers
    if content_type is not None:
        _headers['Content-Type'] = _SERIALIZER.header("content_type", content_type, 'str')
    _headers['Accept'] = _SERIALIZER.header("accept", accept, 'str')

    return HttpRequest(
        method="POST",
        url=_url,
        params=_params,
        headers=_headers,
        json=json,
        content=content,
        **kwargs
    )

class ConversationAnalysisClientOperationsMixin(MixinABC):

    @distributed_trace
    def analyze_conversation(
        self,
        task: _models.AnalyzeConversationTask,
        **kwargs: Any
    ) -> _models.AnalyzeConversationTaskResult:
        """Analyzes the input conversation utterance.

        :param task: A single conversational task to execute.
        :type task: ~azure.ai.language.conversations.models.AnalyzeConversationTask
        :return: AnalyzeConversationTaskResult
        :rtype: ~azure.ai.language.conversations.models.AnalyzeConversationTaskResult
        :raises: ~azure.core.exceptions.HttpResponseError
        """
        error_map = {
            401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
        }
        error_map.update(kwargs.pop('error_map', {}) or {})

        _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
        _params = case_insensitive_dict(kwargs.pop("params", {}) or {})

        api_version = kwargs.pop('api_version', _params.pop('api-version', "2022-03-01-preview"))  # type: str
        content_type = kwargs.pop('content_type', _headers.pop('Content-Type', "application/json"))  # type: Optional[str]
        cls = kwargs.pop('cls', None)  # type: ClsType[_models.AnalyzeConversationTaskResult]

        _json = self._serialize.body(task, 'AnalyzeConversationTask')

        request = build_analyze_conversation_request(
            api_version=api_version,
            content_type=content_type,
            json=_json,
            headers=_headers,
            params=_params,
        )
        path_format_arguments = {
            "Endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
        }
        request.url = self._client.format_url(request.url, **path_format_arguments)  # type: ignore

        pipeline_response = self._client._pipeline.run(  # type: ignore # pylint: disable=protected-access
            request,
            stream=False,
            **kwargs
        )
        response = pipeline_response.http_response

        if response.status_code not in [200]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, pipeline_response)
            raise HttpResponseError(response=response, model=error)

        deserialized = self._deserialize('AnalyzeConversationTaskResult', pipeline_response)

        if cls:
            return cls(pipeline_response, deserialized, {})

        return deserialized



# pylint: disable=too-many-lines # 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. # -------------------------------------------------------------------------- # type: str # type: Optional[str] # Construct URL # Construct parameters # Construct headers Analyzes the input conversation utterance.          :param task: A single conversational task to execute.         :type task: ~azure.ai.language.conversations.models.AnalyzeConversationTask         :return: AnalyzeConversationTaskResult         :rtype: ~azure.ai.language.conversations.models.AnalyzeConversationTaskResult         :raises: ~azure.core.exceptions.HttpResponseError # type: str # type: Optional[str] # type: ClsType[_models.AnalyzeConversationTaskResult] # type: ignore # type: ignore # pylint: disable=protected-access