第一次提交：阿龙电竞 Django 后端最新版本

venv_prod/lib/python3.12/site-packages/tencentcloud/cloudmate/v20251030/cloudmate_client.py

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+# -*- 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.cloudmate.v20251030 import models
+
+
+class CloudmateClient(AbstractClient):
+    _apiVersion = '2025-10-30'
+    _endpoint = 'cloudmate.tencentcloudapi.com'
+    _service = 'cloudmate'
+
+
+    def CloudMateAgent(self, request):
+        r"""发起智能诊断对话
+        注意：使用该API时，请务必设置请求域名（Endpoint）为 cloudmate.ai.tencentcloudapi.com
+
+        :param request: Request instance for CloudMateAgent.
+        :type request: :class:`tencentcloud.cloudmate.v20251030.models.CloudMateAgentRequest`
+        :rtype: :class:`tencentcloud.cloudmate.v20251030.models.CloudMateAgentResponse`
+
+        """
+        try:
+            params = request._serialize()
+            return self._call_and_deserialize("CloudMateAgent", params, models.CloudMateAgentResponse, headers=request.headers)
+        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/cloudmate/v20251030/cloudmate_client_async.py

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+# -*- 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.cloudmate.v20251030 import models
+from typing import Dict
+
+
+class CloudmateClient(AbstractClient):
+    _apiVersion = '2025-10-30'
+    _endpoint = 'cloudmate.tencentcloudapi.com'
+    _service = 'cloudmate'
+
+    async def CloudMateAgent(
+            self,
+            request: models.CloudMateAgentRequest,
+            opts: Dict = None,
+    ) -> models.CloudMateAgentResponse:
+        """
+        发起智能诊断对话
+        注意：使用该API时，请务必设置请求域名（Endpoint）为 cloudmate.ai.tencentcloudapi.com
+        """
+        
+        kwargs = {}
+        kwargs["action"] = "CloudMateAgent"
+        kwargs["params"] = request._serialize()
+        kwargs["resp_cls"] = models.CloudMateAgentResponse
+        kwargs["headers"] = request.headers
+        kwargs["opts"] = opts or {}
+        
+        return await self.call_and_deserialize(**kwargs)

venv_prod/lib/python3.12/site-packages/tencentcloud/cloudmate/v20251030/errorcodes.py

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+# -*- 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.
+
+
+# 操作失败。
+FAILEDOPERATION = 'FailedOperation'
+
+# 参数错误。
+INVALIDPARAMETER = 'InvalidParameter'
+
+# 参数内容超出限制
+INVALIDPARAMETERVALUE_OUTOFRANGE = 'InvalidParameterValue.OutOfRange'
+
+# 资源不存在。
+RESOURCENOTFOUND = 'ResourceNotFound'
+
+# 空间不存在
+RESOURCENOTFOUND_WORKSPACENOTEXIST = 'ResourceNotFound.WorkspaceNotExist'

venv_prod/lib/python3.12/site-packages/tencentcloud/cloudmate/v20251030/models.py

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+# -*- 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 warnings
+
+from tencentcloud.common.abstract_model import AbstractModel
+
+
+class ChatContent(AbstractModel):
+    r"""智能诊断结果内容结构
+
+    """
+
+    def __init__(self):
+        r"""
+        :param _Role: 角色，可选值：
+ - user
+ - model_thinking
+ - model_output
+ - knowledge
+        :type Role: str
+        :param _Parts: 内容分片
+注意：此字段可能返回 null，表示取不到有效值。
+        :type Parts: list of ChatEventContentPart
+        """
+        self._Role = None
+        self._Parts = None
+
+    @property
+    def Role(self):
+        r"""角色，可选值：
+ - user
+ - model_thinking
+ - model_output
+ - knowledge
+        :rtype: str
+        """
+        return self._Role
+
+    @Role.setter
+    def Role(self, Role):
+        self._Role = Role
+
+    @property
+    def Parts(self):
+        r"""内容分片
+注意：此字段可能返回 null，表示取不到有效值。
+        :rtype: list of ChatEventContentPart
+        """
+        return self._Parts
+
+    @Parts.setter
+    def Parts(self, Parts):
+        self._Parts = Parts
+
+
+    def _deserialize(self, params):
+        self._Role = params.get("Role")
+        if params.get("Parts") is not None:
+            self._Parts = []
+            for item in params.get("Parts"):
+                obj = ChatEventContentPart()
+                obj._deserialize(item)
+                self._Parts.append(obj)
+        memeber_set = set(params.keys())
+        for name, value in vars(self).items():
+            property_name = name[1:]
+            if property_name in memeber_set:
+                memeber_set.remove(property_name)
+        if len(memeber_set) > 0:
+            warnings.warn("%s fileds are useless." % ",".join(memeber_set))
+        
+
+
+class ChatEventContentPart(AbstractModel):
+    r"""智能诊断时间内容分片结构
+
+    """
+
+    def __init__(self):
+        r"""
+        :param _Text: 文本内容（流式或完整）
+        :type Text: str
+        :param _FunctionCall: 函数调用信息
+        :type FunctionCall: str
+        :param _FunctionResponse: 函数返回结果
+        :type FunctionResponse: str
+        """
+        self._Text = None
+        self._FunctionCall = None
+        self._FunctionResponse = None
+
+    @property
+    def Text(self):
+        r"""文本内容（流式或完整）
+        :rtype: str
+        """
+        return self._Text
+
+    @Text.setter
+    def Text(self, Text):
+        self._Text = Text
+
+    @property
+    def FunctionCall(self):
+        r"""函数调用信息
+        :rtype: str
+        """
+        return self._FunctionCall
+
+    @FunctionCall.setter
+    def FunctionCall(self, FunctionCall):
+        self._FunctionCall = FunctionCall
+
+    @property
+    def FunctionResponse(self):
+        r"""函数返回结果
+        :rtype: str
+        """
+        return self._FunctionResponse
+
+    @FunctionResponse.setter
+    def FunctionResponse(self, FunctionResponse):
+        self._FunctionResponse = FunctionResponse
+
+
+    def _deserialize(self, params):
+        self._Text = params.get("Text")
+        self._FunctionCall = params.get("FunctionCall")
+        self._FunctionResponse = params.get("FunctionResponse")
+        memeber_set = set(params.keys())
+        for name, value in vars(self).items():
+            property_name = name[1:]
+            if property_name in memeber_set:
+                memeber_set.remove(property_name)
+        if len(memeber_set) > 0:
+            warnings.warn("%s fileds are useless." % ",".join(memeber_set))
+        
+
+
+class CloudMateAgentRequest(AbstractModel):
+    r"""CloudMateAgent请求参数结构体
+
+    """
+
+    def __init__(self):
+        r"""
+        :param _WorkspaceId: 空间 ID
+        :type WorkspaceId: str
+        :param _Message: 用户提问内容
+        :type Message: str
+        :param _ScenarioId: 场景 ID
+        :type ScenarioId: str
+        :param _SessionId: 会话 ID
+
+- 填写上一次接口调用返回的会话 ID（SessionId），可在原有会话基础上继续对话
+- 未填写会话 ID 时，创建新会话
+        :type SessionId: str
+        :param _Streaming: 是否使用流式响应，默认为 false，不启用流式响应
+        :type Streaming: bool
+        """
+        self._WorkspaceId = None
+        self._Message = None
+        self._ScenarioId = None
+        self._SessionId = None
+        self._Streaming = None
+
+    @property
+    def WorkspaceId(self):
+        r"""空间 ID
+        :rtype: str
+        """
+        return self._WorkspaceId
+
+    @WorkspaceId.setter
+    def WorkspaceId(self, WorkspaceId):
+        self._WorkspaceId = WorkspaceId
+
+    @property
+    def Message(self):
+        r"""用户提问内容
+        :rtype: str
+        """
+        return self._Message
+
+    @Message.setter
+    def Message(self, Message):
+        self._Message = Message
+
+    @property
+    def ScenarioId(self):
+        r"""场景 ID
+        :rtype: str
+        """
+        return self._ScenarioId
+
+    @ScenarioId.setter
+    def ScenarioId(self, ScenarioId):
+        self._ScenarioId = ScenarioId
+
+    @property
+    def SessionId(self):
+        r"""会话 ID
+
+- 填写上一次接口调用返回的会话 ID（SessionId），可在原有会话基础上继续对话
+- 未填写会话 ID 时，创建新会话
+        :rtype: str
+        """
+        return self._SessionId
+
+    @SessionId.setter
+    def SessionId(self, SessionId):
+        self._SessionId = SessionId
+
+    @property
+    def Streaming(self):
+        r"""是否使用流式响应，默认为 false，不启用流式响应
+        :rtype: bool
+        """
+        return self._Streaming
+
+    @Streaming.setter
+    def Streaming(self, Streaming):
+        self._Streaming = Streaming
+
+
+    def _deserialize(self, params):
+        self._WorkspaceId = params.get("WorkspaceId")
+        self._Message = params.get("Message")
+        self._ScenarioId = params.get("ScenarioId")
+        self._SessionId = params.get("SessionId")
+        self._Streaming = params.get("Streaming")
+        memeber_set = set(params.keys())
+        for name, value in vars(self).items():
+            property_name = name[1:]
+            if property_name in memeber_set:
+                memeber_set.remove(property_name)
+        if len(memeber_set) > 0:
+            warnings.warn("%s fileds are useless." % ",".join(memeber_set))
+        
+
+
+class CloudMateAgentResponse(AbstractModel):
+    r"""CloudMateAgent返回参数结构体
+
+    """
+
+    def __init__(self):
+        r"""
+        :param _SessionId: 会话ID，用于后续继续对话
+        :type SessionId: str
+        :param _Timestamp: Unix 时间戳
+        :type Timestamp: int
+        :param _Content: 诊断内容
+        :type Content: :class:`tencentcloud.cloudmate.v20251030.models.ChatContent`
+        :param _Partial: 是否为部分内容（流式场景）
+        :type Partial: bool
+        :param _TurnComplete: 本轮对话是否完成
+        :type TurnComplete: bool
+        :param _ErrorCode: 错误代码，无错误时无该字段
+        :type ErrorCode: str
+        :param _ErrorMessage: 错误详细信息，无错误时无该字段
+        :type ErrorMessage: str
+        :param _RequestId: 唯一请求 ID，由服务端生成，每次请求都会返回（若请求因其他原因未能抵达服务端，则该次请求不会获得 RequestId）。定位问题时需要提供该次请求的 RequestId。本接口为流式响应接口，当请求成功时，RequestId 会被放在 HTTP 响应的 Header "X-TC-RequestId" 中。
+        :type RequestId: str
+        """
+        self._SessionId = None
+        self._Timestamp = None
+        self._Content = None
+        self._Partial = None
+        self._TurnComplete = None
+        self._ErrorCode = None
+        self._ErrorMessage = None
+        self._RequestId = None
+
+    @property
+    def SessionId(self):
+        r"""会话ID，用于后续继续对话
+        :rtype: str
+        """
+        return self._SessionId
+
+    @SessionId.setter
+    def SessionId(self, SessionId):
+        self._SessionId = SessionId
+
+    @property
+    def Timestamp(self):
+        r"""Unix 时间戳
+        :rtype: int
+        """
+        return self._Timestamp
+
+    @Timestamp.setter
+    def Timestamp(self, Timestamp):
+        self._Timestamp = Timestamp
+
+    @property
+    def Content(self):
+        r"""诊断内容
+        :rtype: :class:`tencentcloud.cloudmate.v20251030.models.ChatContent`
+        """
+        return self._Content
+
+    @Content.setter
+    def Content(self, Content):
+        self._Content = Content
+
+    @property
+    def Partial(self):
+        r"""是否为部分内容（流式场景）
+        :rtype: bool
+        """
+        return self._Partial
+
+    @Partial.setter
+    def Partial(self, Partial):
+        self._Partial = Partial
+
+    @property
+    def TurnComplete(self):
+        r"""本轮对话是否完成
+        :rtype: bool
+        """
+        return self._TurnComplete
+
+    @TurnComplete.setter
+    def TurnComplete(self, TurnComplete):
+        self._TurnComplete = TurnComplete
+
+    @property
+    def ErrorCode(self):
+        r"""错误代码，无错误时无该字段
+        :rtype: str
+        """
+        return self._ErrorCode
+
+    @ErrorCode.setter
+    def ErrorCode(self, ErrorCode):
+        self._ErrorCode = ErrorCode
+
+    @property
+    def ErrorMessage(self):
+        r"""错误详细信息，无错误时无该字段
+        :rtype: str
+        """
+        return self._ErrorMessage
+
+    @ErrorMessage.setter
+    def ErrorMessage(self, ErrorMessage):
+        self._ErrorMessage = ErrorMessage
+
+    @property
+    def RequestId(self):
+        r"""唯一请求 ID，由服务端生成，每次请求都会返回（若请求因其他原因未能抵达服务端，则该次请求不会获得 RequestId）。定位问题时需要提供该次请求的 RequestId。本接口为流式响应接口，当请求成功时，RequestId 会被放在 HTTP 响应的 Header "X-TC-RequestId" 中。
+        :rtype: str
+        """
+        return self._RequestId
+
+    @RequestId.setter
+    def RequestId(self, RequestId):
+        self._RequestId = RequestId
+
+
+    def _deserialize(self, params):
+        self._SessionId = params.get("SessionId")
+        self._Timestamp = params.get("Timestamp")
+        if params.get("Content") is not None:
+            self._Content = ChatContent()
+            self._Content._deserialize(params.get("Content"))
+        self._Partial = params.get("Partial")
+        self._TurnComplete = params.get("TurnComplete")
+        self._ErrorCode = params.get("ErrorCode")
+        self._ErrorMessage = params.get("ErrorMessage")
+        self._RequestId = params.get("RequestId")