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# pylint: disable=too-many-lines,too-many-statements
# 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 io import IOBase
from typing import Any, Callable, Dict, IO, Optional, TypeVar, Union, overload
from azure.core.exceptions import (
ClientAuthenticationError,
HttpResponseError,
ResourceExistsError,
ResourceNotFoundError,
ResourceNotModifiedError,
map_error,
)
from azure.core.pipeline import PipelineResponse
from azure.core.rest import HttpRequest, HttpResponse
from azure.core.tracing.decorator import distributed_trace
from azure.core.utils import case_insensitive_dict
from .. import models as _models
from .._serialization import Serializer
from .._vendor import QuestionAnsweringClientMixinABC
T = TypeVar("T")
ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]]
_SERIALIZER = Serializer()
_SERIALIZER.client_side_validation = False
def build_question_answering_get_answers_request( # pylint: disable=name-too-long
*, project_name: str, deployment_name: str, **kwargs: Any
) -> HttpRequest:
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01"))
accept = _headers.pop("Accept", "application/json")
# Construct URL
_url = "/:query-knowledgebases"
# Construct parameters
_params["projectName"] = _SERIALIZER.query("project_name", project_name, "str")
_params["deploymentName"] = _SERIALIZER.query("deployment_name", deployment_name, "str")
_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, **kwargs)
def build_question_answering_get_answers_from_text_request( # pylint: disable=name-too-long
**kwargs: Any,
) -> HttpRequest:
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = case_insensitive_dict(kwargs.pop("params", {}) or {})
content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2021-10-01"))
accept = _headers.pop("Accept", "application/json")
# Construct URL
_url = "/:query-text"
# 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, **kwargs)
class QuestionAnsweringClientOperationsMixin(QuestionAnsweringClientMixinABC):
@overload
def get_answers(
self,
options: _models.AnswersOptions,
*,
project_name: str,
deployment_name: str,
content_type: str = "application/json",
**kwargs: Any,
) -> _models.AnswersResult:
"""Answers the specified question using your knowledge base.
Answers the specified question using your knowledge base.
:param options: Post body of the request. Required.
:type options: ~azure.ai.language.questionanswering.models.AnswersOptions
:keyword project_name: The name of the project to use. Required.
:paramtype project_name: str
:keyword deployment_name: The name of the specific deployment of the project to use. Required.
:paramtype deployment_name: str
:keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
Default value is "application/json".
:paramtype content_type: str
:return: AnswersResult
:rtype: ~azure.ai.language.questionanswering.models.AnswersResult
:raises ~azure.core.exceptions.HttpResponseError:
"""
@overload
def get_answers(
self,
options: IO[bytes],
*,
project_name: str,
deployment_name: str,
content_type: str = "application/json",
**kwargs: Any,
) -> _models.AnswersResult:
"""Answers the specified question using your knowledge base.
Answers the specified question using your knowledge base.
:param options: Post body of the request. Required.
:type options: IO[bytes]
:keyword project_name: The name of the project to use. Required.
:paramtype project_name: str
:keyword deployment_name: The name of the specific deployment of the project to use. Required.
:paramtype deployment_name: str
:keyword content_type: Body Parameter content-type. Content type parameter for binary body.
Default value is "application/json".
:paramtype content_type: str
:return: AnswersResult
:rtype: ~azure.ai.language.questionanswering.models.AnswersResult
:raises ~azure.core.exceptions.HttpResponseError:
"""
@distributed_trace
def get_answers(
self,
options: Union[_models.AnswersOptions, IO[bytes]],
*,
project_name: str,
deployment_name: str,
**kwargs: Any,
) -> _models.AnswersResult:
"""Answers the specified question using your knowledge base.
Answers the specified question using your knowledge base.
:param options: Post body of the request. Is either a AnswersOptions type or a IO[bytes] type.
Required.
:type options: ~azure.ai.language.questionanswering.models.AnswersOptions or IO[bytes]
:keyword project_name: The name of the project to use. Required.
:paramtype project_name: str
:keyword deployment_name: The name of the specific deployment of the project to use. Required.
:paramtype deployment_name: str
:return: AnswersResult
:rtype: ~azure.ai.language.questionanswering.models.AnswersResult
:raises ~azure.core.exceptions.HttpResponseError:
"""
error_map = {
401: ClientAuthenticationError,
404: ResourceNotFoundError,
409: ResourceExistsError,
304: ResourceNotModifiedError,
}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = kwargs.pop("params", {}) or {}
content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
cls: ClsType[_models.AnswersResult] = kwargs.pop("cls", None)
content_type = content_type or "application/json"
_json = None
_content = None
if isinstance(options, (IOBase, bytes)):
_content = options
else:
_json = self._serialize.body(options, "AnswersOptions")
_request = build_question_answering_get_answers_request(
project_name=project_name,
deployment_name=deployment_name,
content_type=content_type,
api_version=self._config.api_version,
json=_json,
content=_content,
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)
_stream = False
pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access
_request, stream=_stream, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200]:
if _stream:
response.read() # Load the body in memory and close the socket
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("AnswersResult", pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {}) # type: ignore
return deserialized # type: ignore
@overload
def get_answers_from_text(
self, options: _models.AnswersFromTextOptions, *, content_type: str = "application/json", **kwargs: Any
) -> _models.AnswersFromTextResult:
"""Answers the specified question using the provided text in the body.
Answers the specified question using the provided text in the body.
:param options: Post body of the request. Required.
:type options: ~azure.ai.language.questionanswering.models.AnswersFromTextOptions
:keyword content_type: Body Parameter content-type. Content type parameter for JSON body.
Default value is "application/json".
:paramtype content_type: str
:return: AnswersFromTextResult
:rtype: ~azure.ai.language.questionanswering.models.AnswersFromTextResult
:raises ~azure.core.exceptions.HttpResponseError:
"""
@overload
def get_answers_from_text(
self, options: IO[bytes], *, content_type: str = "application/json", **kwargs: Any
) -> _models.AnswersFromTextResult:
"""Answers the specified question using the provided text in the body.
Answers the specified question using the provided text in the body.
:param options: Post body of the request. Required.
:type options: IO[bytes]
:keyword content_type: Body Parameter content-type. Content type parameter for binary body.
Default value is "application/json".
:paramtype content_type: str
:return: AnswersFromTextResult
:rtype: ~azure.ai.language.questionanswering.models.AnswersFromTextResult
:raises ~azure.core.exceptions.HttpResponseError:
"""
@distributed_trace
def get_answers_from_text(
self, options: Union[_models.AnswersFromTextOptions, IO[bytes]], **kwargs: Any
) -> _models.AnswersFromTextResult:
"""Answers the specified question using the provided text in the body.
Answers the specified question using the provided text in the body.
:param options: Post body of the request. Is either a AnswersFromTextOptions type or a
IO[bytes] type. Required.
:type options: ~azure.ai.language.questionanswering.models.AnswersFromTextOptions or IO[bytes]
:return: AnswersFromTextResult
:rtype: ~azure.ai.language.questionanswering.models.AnswersFromTextResult
:raises ~azure.core.exceptions.HttpResponseError:
"""
error_map = {
401: ClientAuthenticationError,
404: ResourceNotFoundError,
409: ResourceExistsError,
304: ResourceNotModifiedError,
}
error_map.update(kwargs.pop("error_map", {}) or {})
_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
_params = kwargs.pop("params", {}) or {}
content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
cls: ClsType[_models.AnswersFromTextResult] = kwargs.pop("cls", None)
content_type = content_type or "application/json"
_json = None
_content = None
if isinstance(options, (IOBase, bytes)):
_content = options
else:
_json = self._serialize.body(options, "AnswersFromTextOptions")
_request = build_question_answering_get_answers_from_text_request(
content_type=content_type,
api_version=self._config.api_version,
json=_json,
content=_content,
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)
_stream = False
pipeline_response: PipelineResponse = self._client._pipeline.run( # pylint: disable=protected-access
_request, stream=_stream, **kwargs
)
response = pipeline_response.http_response
if response.status_code not in [200]:
if _stream:
response.read() # Load the body in memory and close the socket
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("AnswersFromTextResult", pipeline_response)
if cls:
return cls(pipeline_response, deserialized, {}) # type: ignore
return deserialized # type: ignore
|
