第一次提交：阿龙电竞 Django 后端最新版本

venv_prod/lib/python3.12/site-packages/tencentcloud/mrs/v20200910/errorcodes.py

@@ -0,0 +1,105 @@
+# -*- coding: utf8 -*-
+# Copyright (c) 2017-2025 Tencent. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+# CAM签名/鉴权错误。
+AUTHFAILURE = 'AuthFailure'
+
+# 异步队列中待处理消息较多,请待处理完成后再调用异步接口。
+FAILEDOPERATION_ASYNCQUEUEFULLERROR = 'FailedOperation.AsyncQueueFullError'
+
+# 异步任务处理出错,不会扣费。
+FAILEDOPERATION_ASYNCTASKERROR = 'FailedOperation.AsyncTaskError'
+
+# 异步任务处理中，请稍后。
+FAILEDOPERATION_ASYNCTASKHANDLING = 'FailedOperation.AsyncTaskHandling'
+
+# 异步任务正在重试中，请稍后。
+FAILEDOPERATION_ASYNCTASKRETRYING = 'FailedOperation.AsyncTaskRetrying'
+
+# 获取结果为空,请检查任务ID是否正确。
+FAILEDOPERATION_EMPTYRESULT = 'FailedOperation.EmptyResult'
+
+# 用量消息推送失败。
+FAILEDOPERATION_PUSHUSAGEMESSAGEERROR = 'FailedOperation.PushUsageMessageError'
+
+# 服务未开通。
+FAILEDOPERATION_SERVICENOTOPEN = 'FailedOperation.ServiceNotOpen'
+
+# 未知错误。
+FAILEDOPERATION_UNKNOWNERROR = 'FailedOperation.UnknownError'
+
+# 内部错误。
+INTERNALERROR = 'InternalError'
+
+# 图片ocr识别异常。
+INTERNALERROR_IMAGEOCRERROR = 'InternalError.ImageOcrError'
+
+# 图片处理异常。
+INTERNALERROR_IMAGEPROCESSERROR = 'InternalError.ImageProcessError'
+
+# 服务调用超时。
+INTERNALERROR_SERVERTIMEOUTERROR = 'InternalError.ServerTimeOutError'
+
+# 报告结构化异常。
+INTERNALERROR_STRUCTIONERROR = 'InternalError.StructionError'
+
+# 报告文本分类异常。
+INTERNALERROR_TEXTCLASSIFYERROR = 'InternalError.TextClassifyError'
+
+# 参数错误。
+INVALIDPARAMETER = 'InvalidParameter'
+
+# 参数AutoFitDirection无效。
+INVALIDPARAMETER_AUTOFITDIRECTION = 'InvalidParameter.AutoFitDirection'
+
+# 参数ImageInfoList无效。
+INVALIDPARAMETER_IMAGEINFOLIST = 'InvalidParameter.ImageInfoList'
+
+# 参数ImageOriginalSize无效。
+INVALIDPARAMETER_IMAGEORIGINALSIZE = 'InvalidParameter.ImageOriginalSize'
+
+# 请求Action无效。
+INVALIDPARAMETER_INVALIDACTION = 'InvalidParameter.InvalidAction'
+
+# 参数OcrEngineType无效。
+INVALIDPARAMETER_OCRENGINETYPE = 'InvalidParameter.OcrEngineType'
+
+# 参数RotateTheAngle无效。
+INVALIDPARAMETER_ROTATETHEANGLE = 'InvalidParameter.RotateTheAngle'
+
+# 参数Text无效。
+INVALIDPARAMETER_TEXT = 'InvalidParameter.Text'
+
+# 图片编码无效。
+INVALIDPARAMETERVALUE_IMAGECODEINVALID = 'InvalidParameterValue.ImageCodeInvalid'
+
+# 图片没有文字。
+INVALIDPARAMETERVALUE_IMAGEISNOTEXT = 'InvalidParameterValue.ImageIsNoText'
+
+# 图片URL无效。
+INVALIDPARAMETERVALUE_IMAGEURLINVALID = 'InvalidParameterValue.ImageURLInvalid'
+
+# 文本大小超过限制。
+LIMITEXCEEDED_TEXTSIZELIMITEXCEEDED = 'LimitExceeded.TextSizeLimitExceeded'
+
+# 不支持的报告类型。
+OPERATIONDENIED_UNSUPPORTTHISTYPE = 'OperationDenied.UnSupportThisType'
+
+# 当前无权限，请检查BisinsessId。
+UNAUTHORIZEDOPERATION_PERMISSIONDENIEDERROR = 'UnauthorizedOperation.PermissionDeniedError'
+
+# 当前报告类型不支持。
+UNSUPPORTEDOPERATION_UNSUPPORTTHISTYPE = 'UnsupportedOperation.UnSupportThisType'

venv_prod/lib/python3.12/site-packages/tencentcloud/mrs/v20200910/mrs_client.py

@@ -0,0 +1,286 @@
+# -*- coding: utf8 -*-
+# Copyright (c) 2017-2025 Tencent. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import json
+
+from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException
+from tencentcloud.common.abstract_client import AbstractClient
+from tencentcloud.mrs.v20200910 import models
+
+
+class MrsClient(AbstractClient):
+    _apiVersion = '2020-09-10'
+    _endpoint = 'mrs.tencentcloudapi.com'
+    _service = 'mrs'
+
+
+    def DrugInstructionObject(self, request):
+        r"""药品说明书PDF文件结构化
+
+        :param request: Request instance for DrugInstructionObject.
+        :type request: :class:`tencentcloud.mrs.v20200910.models.DrugInstructionObjectRequest`
+        :rtype: :class:`tencentcloud.mrs.v20200910.models.DrugInstructionObjectResponse`
+
+        """
+        try:
+            params = request._serialize()
+            headers = request.headers
+            body = self.call("DrugInstructionObject", params, headers=headers)
+            response = json.loads(body)
+            model = models.DrugInstructionObjectResponse()
+            model._deserialize(response["Response"])
+            return model
+        except Exception as e:
+            if isinstance(e, TencentCloudSDKException):
+                raise
+            else:
+                raise TencentCloudSDKException(type(e).__name__, str(e))
+
+
+    def ImageMask(self, request):
+        r"""医疗报告图片脱敏接口
+
+        :param request: Request instance for ImageMask.
+        :type request: :class:`tencentcloud.mrs.v20200910.models.ImageMaskRequest`
+        :rtype: :class:`tencentcloud.mrs.v20200910.models.ImageMaskResponse`
+
+        """
+        try:
+            params = request._serialize()
+            headers = request.headers
+            body = self.call("ImageMask", params, headers=headers)
+            response = json.loads(body)
+            model = models.ImageMaskResponse()
+            model._deserialize(response["Response"])
+            return model
+        except Exception as e:
+            if isinstance(e, TencentCloudSDKException):
+                raise
+            else:
+                raise TencentCloudSDKException(type(e).__name__, str(e))
+
+
+    def ImageMaskAsync(self, request):
+        r"""图片脱敏-异步接口
+        短时间大批量调用（例如>100上传/10分钟），如果遇到错误码“FalledOperation.AsyncQueueFullError”，请于数分钟后再次尝试提交。
+
+        :param request: Request instance for ImageMaskAsync.
+        :type request: :class:`tencentcloud.mrs.v20200910.models.ImageMaskAsyncRequest`
+        :rtype: :class:`tencentcloud.mrs.v20200910.models.ImageMaskAsyncResponse`
+
+        """
+        try:
+            params = request._serialize()
+            headers = request.headers
+            body = self.call("ImageMaskAsync", params, headers=headers)
+            response = json.loads(body)
+            model = models.ImageMaskAsyncResponse()
+            model._deserialize(response["Response"])
+            return model
+        except Exception as e:
+            if isinstance(e, TencentCloudSDKException):
+                raise
+            else:
+                raise TencentCloudSDKException(type(e).__name__, str(e))
+
+
+    def ImageMaskAsyncGetResult(self, request):
+        r"""图片脱敏-异步获取结果接口
+        请于上传请求后24小时内获取结果。
+
+        :param request: Request instance for ImageMaskAsyncGetResult.
+        :type request: :class:`tencentcloud.mrs.v20200910.models.ImageMaskAsyncGetResultRequest`
+        :rtype: :class:`tencentcloud.mrs.v20200910.models.ImageMaskAsyncGetResultResponse`
+
+        """
+        try:
+            params = request._serialize()
+            headers = request.headers
+            body = self.call("ImageMaskAsyncGetResult", params, headers=headers)
+            response = json.loads(body)
+            model = models.ImageMaskAsyncGetResultResponse()
+            model._deserialize(response["Response"])
+            return model
+        except Exception as e:
+            if isinstance(e, TencentCloudSDKException):
+                raise
+            else:
+                raise TencentCloudSDKException(type(e).__name__, str(e))
+
+
+    def ImageToClass(self, request):
+        r"""图片分类
+
+        :param request: Request instance for ImageToClass.
+        :type request: :class:`tencentcloud.mrs.v20200910.models.ImageToClassRequest`
+        :rtype: :class:`tencentcloud.mrs.v20200910.models.ImageToClassResponse`
+
+        """
+        try:
+            params = request._serialize()
+            headers = request.headers
+            body = self.call("ImageToClass", params, headers=headers)
+            response = json.loads(body)
+            model = models.ImageToClassResponse()
+            model._deserialize(response["Response"])
+            return model
+        except Exception as e:
+            if isinstance(e, TencentCloudSDKException):
+                raise
+            else:
+                raise TencentCloudSDKException(type(e).__name__, str(e))
+
+
+    def ImageToObject(self, request):
+        r"""图片转结构化对象
+
+        :param request: Request instance for ImageToObject.
+        :type request: :class:`tencentcloud.mrs.v20200910.models.ImageToObjectRequest`
+        :rtype: :class:`tencentcloud.mrs.v20200910.models.ImageToObjectResponse`
+
+        """
+        try:
+            params = request._serialize()
+            headers = request.headers
+            body = self.call("ImageToObject", params, headers=headers)
+            response = json.loads(body)
+            model = models.ImageToObjectResponse()
+            model._deserialize(response["Response"])
+            return model
+        except Exception as e:
+            if isinstance(e, TencentCloudSDKException):
+                raise
+            else:
+                raise TencentCloudSDKException(type(e).__name__, str(e))
+
+
+    def TextToClass(self, request):
+        r"""文本分类
+
+        适用场景：经过腾讯医疗专用 OCR 从图片识别之后的文本，并且需要加上每个字符的坐标信息，才可以调用此接口。通过其它 OCR 识别的文本可能不适配。医院的 XML 格式文本也不适配，XML 文件需要经过特殊转换才能直接调用此接口。单次调用传入的文本不宜超过 2000 字。如有需要调用此接口，建议先咨询产品团队。
+
+        :param request: Request instance for TextToClass.
+        :type request: :class:`tencentcloud.mrs.v20200910.models.TextToClassRequest`
+        :rtype: :class:`tencentcloud.mrs.v20200910.models.TextToClassResponse`
+
+        """
+        try:
+            params = request._serialize()
+            headers = request.headers
+            body = self.call("TextToClass", params, headers=headers)
+            response = json.loads(body)
+            model = models.TextToClassResponse()
+            model._deserialize(response["Response"])
+            return model
+        except Exception as e:
+            if isinstance(e, TencentCloudSDKException):
+                raise
+            else:
+                raise TencentCloudSDKException(type(e).__name__, str(e))
+
+
+    def TextToObject(self, request):
+        r"""文本转结构化对象。
+
+        适用场景：经过腾讯医疗专用 OCR 从图片识别之后的文本，可以调用此接口。通过其它 OCR 识别的文本可能不适配。医院的 XML 格式文本也不适配，XML 文件需要经过特殊转换才能直接调用此接口。单次调用传入的文本不宜超过 2000 字。
+
+        :param request: Request instance for TextToObject.
+        :type request: :class:`tencentcloud.mrs.v20200910.models.TextToObjectRequest`
+        :rtype: :class:`tencentcloud.mrs.v20200910.models.TextToObjectResponse`
+
+        """
+        try:
+            params = request._serialize()
+            headers = request.headers
+            body = self.call("TextToObject", params, headers=headers)
+            response = json.loads(body)
+            model = models.TextToObjectResponse()
+            model._deserialize(response["Response"])
+            return model
+        except Exception as e:
+            if isinstance(e, TencentCloudSDKException):
+                raise
+            else:
+                raise TencentCloudSDKException(type(e).__name__, str(e))
+
+
+    def TurnPDFToObject(self, request):
+        r"""将PDF格式的体检报告文件结构化，解析关键信息。
+        注意：该接口是按照体检报告 PDF 页面数量统计次数，不是按照 PDF 文件数量统计次数。通过该接口传入的报告必须是体检报告，非体检报告可能无法正确解析。
+
+        :param request: Request instance for TurnPDFToObject.
+        :type request: :class:`tencentcloud.mrs.v20200910.models.TurnPDFToObjectRequest`
+        :rtype: :class:`tencentcloud.mrs.v20200910.models.TurnPDFToObjectResponse`
+
+        """
+        try:
+            params = request._serialize()
+            headers = request.headers
+            body = self.call("TurnPDFToObject", params, headers=headers)
+            response = json.loads(body)
+            model = models.TurnPDFToObjectResponse()
+            model._deserialize(response["Response"])
+            return model
+        except Exception as e:
+            if isinstance(e, TencentCloudSDKException):
+                raise
+            else:
+                raise TencentCloudSDKException(type(e).__name__, str(e))
+
+
+    def TurnPDFToObjectAsync(self, request):
+        r"""体检报告PDF文件结构化-异步接口
+
+        :param request: Request instance for TurnPDFToObjectAsync.
+        :type request: :class:`tencentcloud.mrs.v20200910.models.TurnPDFToObjectAsyncRequest`
+        :rtype: :class:`tencentcloud.mrs.v20200910.models.TurnPDFToObjectAsyncResponse`
+
+        """
+        try:
+            params = request._serialize()
+            headers = request.headers
+            body = self.call("TurnPDFToObjectAsync", params, headers=headers)
+            response = json.loads(body)
+            model = models.TurnPDFToObjectAsyncResponse()
+            model._deserialize(response["Response"])
+            return model
+        except Exception as e:
+            if isinstance(e, TencentCloudSDKException):
+                raise
+            else:
+                raise TencentCloudSDKException(type(e).__name__, str(e))
+
+
+    def TurnPDFToObjectAsyncGetResult(self, request):
+        r"""体检报告PDF文件结构化异步获取结果接口
+
+        :param request: Request instance for TurnPDFToObjectAsyncGetResult.
+        :type request: :class:`tencentcloud.mrs.v20200910.models.TurnPDFToObjectAsyncGetResultRequest`
+        :rtype: :class:`tencentcloud.mrs.v20200910.models.TurnPDFToObjectAsyncGetResultResponse`
+
+        """
+        try:
+            params = request._serialize()
+            headers = request.headers
+            body = self.call("TurnPDFToObjectAsyncGetResult", params, headers=headers)
+            response = json.loads(body)
+            model = models.TurnPDFToObjectAsyncGetResultResponse()
+            model._deserialize(response["Response"])
+            return model
+        except Exception as e:
+            if isinstance(e, TencentCloudSDKException):
+                raise
+            else:
+                raise TencentCloudSDKException(type(e).__name__, str(e))

venv_prod/lib/python3.12/site-packages/tencentcloud/mrs/v20200910/mrs_client_async.py

@@ -0,0 +1,231 @@
+# -*- coding: utf8 -*-
+# Copyright (c) 2017-2025 Tencent. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+
+from tencentcloud.common.abstract_client_async import AbstractClient
+from tencentcloud.mrs.v20200910 import models
+from typing import Dict
+
+
+class MrsClient(AbstractClient):
+    _apiVersion = '2020-09-10'
+    _endpoint = 'mrs.tencentcloudapi.com'
+    _service = 'mrs'
+
+    async def DrugInstructionObject(
+            self,
+            request: models.DrugInstructionObjectRequest,
+            opts: Dict = None,
+    ) -> models.DrugInstructionObjectResponse:
+        """
+        药品说明书PDF文件结构化
+        """
+        
+        kwargs = {}
+        kwargs["action"] = "DrugInstructionObject"
+        kwargs["params"] = request._serialize()
+        kwargs["resp_cls"] = models.DrugInstructionObjectResponse
+        kwargs["headers"] = request.headers
+        kwargs["opts"] = opts or {}
+        
+        return await self.call_and_deserialize(**kwargs)
+        
+    async def ImageMask(
+            self,
+            request: models.ImageMaskRequest,
+            opts: Dict = None,
+    ) -> models.ImageMaskResponse:
+        """
+        医疗报告图片脱敏接口
+        """
+        
+        kwargs = {}
+        kwargs["action"] = "ImageMask"
+        kwargs["params"] = request._serialize()
+        kwargs["resp_cls"] = models.ImageMaskResponse
+        kwargs["headers"] = request.headers
+        kwargs["opts"] = opts or {}
+        
+        return await self.call_and_deserialize(**kwargs)
+        
+    async def ImageMaskAsync(
+            self,
+            request: models.ImageMaskAsyncRequest,
+            opts: Dict = None,
+    ) -> models.ImageMaskAsyncResponse:
+        """
+        图片脱敏-异步接口
+        短时间大批量调用（例如>100上传/10分钟），如果遇到错误码“FalledOperation.AsyncQueueFullError”，请于数分钟后再次尝试提交。
+        """
+        
+        kwargs = {}
+        kwargs["action"] = "ImageMaskAsync"
+        kwargs["params"] = request._serialize()
+        kwargs["resp_cls"] = models.ImageMaskAsyncResponse
+        kwargs["headers"] = request.headers
+        kwargs["opts"] = opts or {}
+        
+        return await self.call_and_deserialize(**kwargs)
+        
+    async def ImageMaskAsyncGetResult(
+            self,
+            request: models.ImageMaskAsyncGetResultRequest,
+            opts: Dict = None,
+    ) -> models.ImageMaskAsyncGetResultResponse:
+        """
+        图片脱敏-异步获取结果接口
+        请于上传请求后24小时内获取结果。
+        """
+        
+        kwargs = {}
+        kwargs["action"] = "ImageMaskAsyncGetResult"
+        kwargs["params"] = request._serialize()
+        kwargs["resp_cls"] = models.ImageMaskAsyncGetResultResponse
+        kwargs["headers"] = request.headers
+        kwargs["opts"] = opts or {}
+        
+        return await self.call_and_deserialize(**kwargs)
+        
+    async def ImageToClass(
+            self,
+            request: models.ImageToClassRequest,
+            opts: Dict = None,
+    ) -> models.ImageToClassResponse:
+        """
+        图片分类
+        """
+        
+        kwargs = {}
+        kwargs["action"] = "ImageToClass"
+        kwargs["params"] = request._serialize()
+        kwargs["resp_cls"] = models.ImageToClassResponse
+        kwargs["headers"] = request.headers
+        kwargs["opts"] = opts or {}
+        
+        return await self.call_and_deserialize(**kwargs)
+        
+    async def ImageToObject(
+            self,
+            request: models.ImageToObjectRequest,
+            opts: Dict = None,
+    ) -> models.ImageToObjectResponse:
+        """
+        图片转结构化对象
+        """
+        
+        kwargs = {}
+        kwargs["action"] = "ImageToObject"
+        kwargs["params"] = request._serialize()
+        kwargs["resp_cls"] = models.ImageToObjectResponse
+        kwargs["headers"] = request.headers
+        kwargs["opts"] = opts or {}
+        
+        return await self.call_and_deserialize(**kwargs)
+        
+    async def TextToClass(
+            self,
+            request: models.TextToClassRequest,
+            opts: Dict = None,
+    ) -> models.TextToClassResponse:
+        """
+        文本分类
+
+        适用场景：经过腾讯医疗专用 OCR 从图片识别之后的文本，并且需要加上每个字符的坐标信息，才可以调用此接口。通过其它 OCR 识别的文本可能不适配。医院的 XML 格式文本也不适配，XML 文件需要经过特殊转换才能直接调用此接口。单次调用传入的文本不宜超过 2000 字。如有需要调用此接口，建议先咨询产品团队。
+        """
+        
+        kwargs = {}
+        kwargs["action"] = "TextToClass"
+        kwargs["params"] = request._serialize()
+        kwargs["resp_cls"] = models.TextToClassResponse
+        kwargs["headers"] = request.headers
+        kwargs["opts"] = opts or {}
+        
+        return await self.call_and_deserialize(**kwargs)
+        
+    async def TextToObject(
+            self,
+            request: models.TextToObjectRequest,
+            opts: Dict = None,
+    ) -> models.TextToObjectResponse:
+        """
+        文本转结构化对象。
+
+        适用场景：经过腾讯医疗专用 OCR 从图片识别之后的文本，可以调用此接口。通过其它 OCR 识别的文本可能不适配。医院的 XML 格式文本也不适配，XML 文件需要经过特殊转换才能直接调用此接口。单次调用传入的文本不宜超过 2000 字。
+        """
+        
+        kwargs = {}
+        kwargs["action"] = "TextToObject"
+        kwargs["params"] = request._serialize()
+        kwargs["resp_cls"] = models.TextToObjectResponse
+        kwargs["headers"] = request.headers
+        kwargs["opts"] = opts or {}
+        
+        return await self.call_and_deserialize(**kwargs)
+        
+    async def TurnPDFToObject(
+            self,
+            request: models.TurnPDFToObjectRequest,
+            opts: Dict = None,
+    ) -> models.TurnPDFToObjectResponse:
+        """
+        将PDF格式的体检报告文件结构化，解析关键信息。
+        注意：该接口是按照体检报告 PDF 页面数量统计次数，不是按照 PDF 文件数量统计次数。通过该接口传入的报告必须是体检报告，非体检报告可能无法正确解析。
+        """
+        
+        kwargs = {}
+        kwargs["action"] = "TurnPDFToObject"
+        kwargs["params"] = request._serialize()
+        kwargs["resp_cls"] = models.TurnPDFToObjectResponse
+        kwargs["headers"] = request.headers
+        kwargs["opts"] = opts or {}
+        
+        return await self.call_and_deserialize(**kwargs)
+        
+    async def TurnPDFToObjectAsync(
+            self,
+            request: models.TurnPDFToObjectAsyncRequest,
+            opts: Dict = None,
+    ) -> models.TurnPDFToObjectAsyncResponse:
+        """
+        体检报告PDF文件结构化-异步接口
+        """
+        
+        kwargs = {}
+        kwargs["action"] = "TurnPDFToObjectAsync"
+        kwargs["params"] = request._serialize()
+        kwargs["resp_cls"] = models.TurnPDFToObjectAsyncResponse
+        kwargs["headers"] = request.headers
+        kwargs["opts"] = opts or {}
+        
+        return await self.call_and_deserialize(**kwargs)
+        
+    async def TurnPDFToObjectAsyncGetResult(
+            self,
+            request: models.TurnPDFToObjectAsyncGetResultRequest,
+            opts: Dict = None,
+    ) -> models.TurnPDFToObjectAsyncGetResultResponse:
+        """
+        体检报告PDF文件结构化异步获取结果接口
+        """
+        
+        kwargs = {}
+        kwargs["action"] = "TurnPDFToObjectAsyncGetResult"
+        kwargs["params"] = request._serialize()
+        kwargs["resp_cls"] = models.TurnPDFToObjectAsyncGetResultResponse
+        kwargs["headers"] = request.headers
+        kwargs["opts"] = opts or {}
+        
+        return await self.call_and_deserialize(**kwargs)