第一次提交：阿龙电竞 Django 后端最新版本

venv_prod/lib/python3.12/site-packages/tencentcloud/nlp/v20190408/errorcodes.py

@@ -0,0 +1,114 @@
+# -*- 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.
+
+
+# 余额不足，开通失败，请充值后再开通。
+FAILEDOPERATION_BALANCEINSUFFICIENT = 'FailedOperation.BalanceInsufficient'
+
+# 服务内部错误，请重试。
+FAILEDOPERATION_INNERERROR = 'FailedOperation.InnerError'
+
+# 暂无春联生成，请更换关键词重试。
+FAILEDOPERATION_NOCOUPLETS = 'FailedOperation.NoCouplets'
+
+# 暂无结果，请更换文本重试。
+FAILEDOPERATION_NORESULTS = 'FailedOperation.NoResults'
+
+# 未查询到结果。
+FAILEDOPERATION_NOTFOUNDDATA = 'FailedOperation.NotFoundData'
+
+# 后端服务超时。
+FAILEDOPERATION_REQUESTTIMEOUT = 'FailedOperation.RequestTimeout'
+
+# 服务器繁忙，请稍后再试。
+FAILEDOPERATION_RESOURCEBUSY = 'FailedOperation.ResourceBusy'
+
+# RPC请求失败，一般为算法微服务故障。
+FAILEDOPERATION_RPCFAIL = 'FailedOperation.RpcFail'
+
+# 内部错误。
+FAILEDOPERATION_UNKNOWERROR = 'FailedOperation.UnKnowError'
+
+# 未知错误。
+FAILEDOPERATION_UNKNOWN = 'FailedOperation.Unknown'
+
+# 内部错误。
+INTERNALERROR = 'InternalError'
+
+# 内部服务调用错误。
+INTERNALERROR_SERVICECALLERROR = 'InternalError.ServiceCallError'
+
+# 内部服务调用失败。
+INTERNALERROR_SERVICEERROR = 'InternalError.ServiceError'
+
+# 文本分类异常。
+INTERNALERROR_TEXTCLASSIFYERROR = 'InternalError.TextClassifyError'
+
+# 文本解析异常。
+INTERNALERROR_TEXTPARSINGERROR = 'InternalError.TextParsingError'
+
+# 文本长度超过限制。
+INVALIDPARAMETER_TEXTTOOLONGCODE = 'InvalidParameter.TextTooLongCode'
+
+# 参数不合法。
+INVALIDPARAMETERVALUE_INVALIDPARAMETER = 'InvalidParameterValue.InvalidParameter'
+
+# Text输入含有敏感信息。
+INVALIDPARAMETERVALUE_SENSITIVETEXT = 'InvalidParameterValue.SensitiveText'
+
+# TargetType非法，请参考TargetType参数说明。
+INVALIDPARAMETERVALUE_TARGETTYPE = 'InvalidParameterValue.TargetType'
+
+# Text非法，请参考Text参数说明。
+INVALIDPARAMETERVALUE_TEXT = 'InvalidParameterValue.Text'
+
+# 输入文本超出数量限制
+INVALIDPARAMETERVALUE_TEXTNUMTOOMUCH = 'InvalidParameterValue.TextNumTooMuch'
+
+# 输入文本超出长度限制
+INVALIDPARAMETERVALUE_TEXTTOOLONG = 'InvalidParameterValue.TextTooLong'
+
+# 资源用量达到上限。
+LIMITEXCEEDED_RESOURCEREACHEDLIMIT = 'LimitExceeded.ResourceReachedLimit'
+
+# 请求的次数超过了频率限制。
+REQUESTLIMITEXCEEDED_UINLIMITEXCEEDED = 'RequestLimitExceeded.UinLimitExceeded'
+
+# 额度用尽，请充值后重试
+RESOURCEINSUFFICIENT_QUOTARUNOUT = 'ResourceInsufficient.QuotaRunOut'
+
+# 资源不存在。
+RESOURCENOTFOUND = 'ResourceNotFound'
+
+# 账号已被冻结。
+RESOURCEUNAVAILABLE_FREEZE = 'ResourceUnavailable.Freeze'
+
+# 账号已欠费。
+RESOURCEUNAVAILABLE_INARREARS = 'ResourceUnavailable.InArrears'
+
+# 服务正在开通中，请稍等。
+RESOURCEUNAVAILABLE_ISOPENING = 'ResourceUnavailable.IsOpening'
+
+# 计费状态未知，请确认是否已在控制台开通服务。
+RESOURCEUNAVAILABLE_NOTEXIST = 'ResourceUnavailable.NotExist'
+
+# 资源已被回收。
+RESOURCEUNAVAILABLE_RECOVER = 'ResourceUnavailable.Recover'
+
+# 账号已停服。
+RESOURCEUNAVAILABLE_STOPUSING = 'ResourceUnavailable.StopUsing'
+
+# 资源包余量已用尽。
+UNSUPPORTEDOPERATION_PKGEXHAUSTED = 'UnsupportedOperation.PkgExhausted'

venv_prod/lib/python3.12/site-packages/tencentcloud/nlp/v20190408/nlp_client.py

@@ -0,0 +1,170 @@
+# -*- 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.nlp.v20190408 import models
+
+
+class NlpClient(AbstractClient):
+    _apiVersion = '2019-04-08'
+    _endpoint = 'nlp.tencentcloudapi.com'
+    _service = 'nlp'
+
+
+    def AnalyzeSentiment(self, request):
+        r"""情感分析接口能够对带有情感色彩的主观性文本进行分析、处理、归纳和推理，识别出用户的情感倾向，是积极、中性还是消极，并且提供各自概率。
+
+        :param request: Request instance for AnalyzeSentiment.
+        :type request: :class:`tencentcloud.nlp.v20190408.models.AnalyzeSentimentRequest`
+        :rtype: :class:`tencentcloud.nlp.v20190408.models.AnalyzeSentimentResponse`
+
+        """
+        try:
+            params = request._serialize()
+            headers = request.headers
+            body = self.call("AnalyzeSentiment", params, headers=headers)
+            response = json.loads(body)
+            model = models.AnalyzeSentimentResponse()
+            model._deserialize(response["Response"])
+            return model
+        except Exception as e:
+            if isinstance(e, TencentCloudSDKException):
+                raise
+            else:
+                raise TencentCloudSDKException(type(e).__name__, str(e))
+
+
+    def ClassifyContent(self, request):
+        r"""NLP技术的句子相似度、相似词召回、文本分类、对联生成、诗词生成、词相似度、文本润色、句子生成和文本补全API接口将于2025年10月31日下线，届时将无法正常调用。为了避免对您的业务造成影响，请您尽快做好相关业务调整。如果您有NLP技术的产品需求，推荐您调用腾讯混元大模型（https://cloud.tencent.com/product/tclm）。
+
+        文本分类接口能够对用户输入的文章进行自动分类，将其映射到具体的类目上，用户只需要提供待分类的文本，而无需关注具体实现。该功能定义了一套较为完备的[三级分类体系](https://cloud.tencent.com/document/product/271/94286)，积累了数百万的语料，经过多轮迭代优化打造了较先进的深度学习模型，以保证效果不断提升。
+
+        :param request: Request instance for ClassifyContent.
+        :type request: :class:`tencentcloud.nlp.v20190408.models.ClassifyContentRequest`
+        :rtype: :class:`tencentcloud.nlp.v20190408.models.ClassifyContentResponse`
+
+        """
+        try:
+            params = request._serialize()
+            headers = request.headers
+            body = self.call("ClassifyContent", params, headers=headers)
+            response = json.loads(body)
+            model = models.ClassifyContentResponse()
+            model._deserialize(response["Response"])
+            return model
+        except Exception as e:
+            if isinstance(e, TencentCloudSDKException):
+                raise
+            else:
+                raise TencentCloudSDKException(type(e).__name__, str(e))
+
+
+    def ComposeCouplet(self, request):
+        r"""NLP技术的句子相似度、相似词召回、文本分类、对联生成、诗词生成、词相似度、文本润色、句子生成和文本补全API接口将于2025年10月31日下线，届时将无法正常调用。为了避免对您的业务造成影响，请您尽快做好相关业务调整。如果您有NLP技术的产品需求，推荐您调用腾讯混元大模型（https://cloud.tencent.com/product/tclm）。
+
+        对联生成接口根据用户输入的命题关键词，智能生成一副完整的春联，包括上联、下联和横批。该接口利用先进的自然语言处理技术，确保生成的春联既符合传统对仗、对韵、对义的要求，又具有新意和创意，为用户提供独特的春节祝福。
+
+        :param request: Request instance for ComposeCouplet.
+        :type request: :class:`tencentcloud.nlp.v20190408.models.ComposeCoupletRequest`
+        :rtype: :class:`tencentcloud.nlp.v20190408.models.ComposeCoupletResponse`
+
+        """
+        try:
+            params = request._serialize()
+            headers = request.headers
+            body = self.call("ComposeCouplet", params, headers=headers)
+            response = json.loads(body)
+            model = models.ComposeCoupletResponse()
+            model._deserialize(response["Response"])
+            return model
+        except Exception as e:
+            if isinstance(e, TencentCloudSDKException):
+                raise
+            else:
+                raise TencentCloudSDKException(type(e).__name__, str(e))
+
+
+    def EvaluateSentenceSimilarity(self, request):
+        r"""NLP技术的句子相似度、相似词召回、文本分类、对联生成、诗词生成、词相似度、文本润色、句子生成和文本补全API接口将于2025年10月31日下线，届时将无法正常调用。为了避免对您的业务造成影响，请您尽快做好相关业务调整。如果您有NLP技术的产品需求，推荐您调用腾讯混元大模型（https://cloud.tencent.com/product/tclm）。
+
+        通过计算句子间的语义相似性，帮助您快速找到文本中重复或相似的句子，用于文本聚类、相似问题检索等应用场景。
+
+        :param request: Request instance for EvaluateSentenceSimilarity.
+        :type request: :class:`tencentcloud.nlp.v20190408.models.EvaluateSentenceSimilarityRequest`
+        :rtype: :class:`tencentcloud.nlp.v20190408.models.EvaluateSentenceSimilarityResponse`
+
+        """
+        try:
+            params = request._serialize()
+            headers = request.headers
+            body = self.call("EvaluateSentenceSimilarity", params, headers=headers)
+            response = json.loads(body)
+            model = models.EvaluateSentenceSimilarityResponse()
+            model._deserialize(response["Response"])
+            return model
+        except Exception as e:
+            if isinstance(e, TencentCloudSDKException):
+                raise
+            else:
+                raise TencentCloudSDKException(type(e).__name__, str(e))
+
+
+    def ParseWords(self, request):
+        r"""通过精准地对文本进行分词、词性标注、命名实体识别等功能，助您更好地理解文本内容，挖掘出潜在的价值信息。
+
+        :param request: Request instance for ParseWords.
+        :type request: :class:`tencentcloud.nlp.v20190408.models.ParseWordsRequest`
+        :rtype: :class:`tencentcloud.nlp.v20190408.models.ParseWordsResponse`
+
+        """
+        try:
+            params = request._serialize()
+            headers = request.headers
+            body = self.call("ParseWords", params, headers=headers)
+            response = json.loads(body)
+            model = models.ParseWordsResponse()
+            model._deserialize(response["Response"])
+            return model
+        except Exception as e:
+            if isinstance(e, TencentCloudSDKException):
+                raise
+            else:
+                raise TencentCloudSDKException(type(e).__name__, str(e))
+
+
+    def SentenceCorrection(self, request):
+        r"""智能识别并纠正句子中的语法、拼写、用词等错误，确保文本的准确性和可读性。
+
+        :param request: Request instance for SentenceCorrection.
+        :type request: :class:`tencentcloud.nlp.v20190408.models.SentenceCorrectionRequest`
+        :rtype: :class:`tencentcloud.nlp.v20190408.models.SentenceCorrectionResponse`
+
+        """
+        try:
+            params = request._serialize()
+            headers = request.headers
+            body = self.call("SentenceCorrection", params, headers=headers)
+            response = json.loads(body)
+            model = models.SentenceCorrectionResponse()
+            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/nlp/v20190408/nlp_client_async.py

@@ -0,0 +1,140 @@
+# -*- 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.nlp.v20190408 import models
+from typing import Dict
+
+
+class NlpClient(AbstractClient):
+    _apiVersion = '2019-04-08'
+    _endpoint = 'nlp.tencentcloudapi.com'
+    _service = 'nlp'
+
+    async def AnalyzeSentiment(
+            self,
+            request: models.AnalyzeSentimentRequest,
+            opts: Dict = None,
+    ) -> models.AnalyzeSentimentResponse:
+        """
+        情感分析接口能够对带有情感色彩的主观性文本进行分析、处理、归纳和推理，识别出用户的情感倾向，是积极、中性还是消极，并且提供各自概率。
+        """
+        
+        kwargs = {}
+        kwargs["action"] = "AnalyzeSentiment"
+        kwargs["params"] = request._serialize()
+        kwargs["resp_cls"] = models.AnalyzeSentimentResponse
+        kwargs["headers"] = request.headers
+        kwargs["opts"] = opts or {}
+        
+        return await self.call_and_deserialize(**kwargs)
+        
+    async def ClassifyContent(
+            self,
+            request: models.ClassifyContentRequest,
+            opts: Dict = None,
+    ) -> models.ClassifyContentResponse:
+        """
+        NLP技术的句子相似度、相似词召回、文本分类、对联生成、诗词生成、词相似度、文本润色、句子生成和文本补全API接口将于2025年10月31日下线，届时将无法正常调用。为了避免对您的业务造成影响，请您尽快做好相关业务调整。如果您有NLP技术的产品需求，推荐您调用腾讯混元大模型（https://cloud.tencent.com/product/tclm）。
+
+        文本分类接口能够对用户输入的文章进行自动分类，将其映射到具体的类目上，用户只需要提供待分类的文本，而无需关注具体实现。该功能定义了一套较为完备的[三级分类体系](https://cloud.tencent.com/document/product/271/94286)，积累了数百万的语料，经过多轮迭代优化打造了较先进的深度学习模型，以保证效果不断提升。
+        """
+        
+        kwargs = {}
+        kwargs["action"] = "ClassifyContent"
+        kwargs["params"] = request._serialize()
+        kwargs["resp_cls"] = models.ClassifyContentResponse
+        kwargs["headers"] = request.headers
+        kwargs["opts"] = opts or {}
+        
+        return await self.call_and_deserialize(**kwargs)
+        
+    async def ComposeCouplet(
+            self,
+            request: models.ComposeCoupletRequest,
+            opts: Dict = None,
+    ) -> models.ComposeCoupletResponse:
+        """
+        NLP技术的句子相似度、相似词召回、文本分类、对联生成、诗词生成、词相似度、文本润色、句子生成和文本补全API接口将于2025年10月31日下线，届时将无法正常调用。为了避免对您的业务造成影响，请您尽快做好相关业务调整。如果您有NLP技术的产品需求，推荐您调用腾讯混元大模型（https://cloud.tencent.com/product/tclm）。
+
+        对联生成接口根据用户输入的命题关键词，智能生成一副完整的春联，包括上联、下联和横批。该接口利用先进的自然语言处理技术，确保生成的春联既符合传统对仗、对韵、对义的要求，又具有新意和创意，为用户提供独特的春节祝福。
+        """
+        
+        kwargs = {}
+        kwargs["action"] = "ComposeCouplet"
+        kwargs["params"] = request._serialize()
+        kwargs["resp_cls"] = models.ComposeCoupletResponse
+        kwargs["headers"] = request.headers
+        kwargs["opts"] = opts or {}
+        
+        return await self.call_and_deserialize(**kwargs)
+        
+    async def EvaluateSentenceSimilarity(
+            self,
+            request: models.EvaluateSentenceSimilarityRequest,
+            opts: Dict = None,
+    ) -> models.EvaluateSentenceSimilarityResponse:
+        """
+        NLP技术的句子相似度、相似词召回、文本分类、对联生成、诗词生成、词相似度、文本润色、句子生成和文本补全API接口将于2025年10月31日下线，届时将无法正常调用。为了避免对您的业务造成影响，请您尽快做好相关业务调整。如果您有NLP技术的产品需求，推荐您调用腾讯混元大模型（https://cloud.tencent.com/product/tclm）。
+
+        通过计算句子间的语义相似性，帮助您快速找到文本中重复或相似的句子，用于文本聚类、相似问题检索等应用场景。
+        """
+        
+        kwargs = {}
+        kwargs["action"] = "EvaluateSentenceSimilarity"
+        kwargs["params"] = request._serialize()
+        kwargs["resp_cls"] = models.EvaluateSentenceSimilarityResponse
+        kwargs["headers"] = request.headers
+        kwargs["opts"] = opts or {}
+        
+        return await self.call_and_deserialize(**kwargs)
+        
+    async def ParseWords(
+            self,
+            request: models.ParseWordsRequest,
+            opts: Dict = None,
+    ) -> models.ParseWordsResponse:
+        """
+        通过精准地对文本进行分词、词性标注、命名实体识别等功能，助您更好地理解文本内容，挖掘出潜在的价值信息。
+        """
+        
+        kwargs = {}
+        kwargs["action"] = "ParseWords"
+        kwargs["params"] = request._serialize()
+        kwargs["resp_cls"] = models.ParseWordsResponse
+        kwargs["headers"] = request.headers
+        kwargs["opts"] = opts or {}
+        
+        return await self.call_and_deserialize(**kwargs)
+        
+    async def SentenceCorrection(
+            self,
+            request: models.SentenceCorrectionRequest,
+            opts: Dict = None,
+    ) -> models.SentenceCorrectionResponse:
+        """
+        智能识别并纠正句子中的语法、拼写、用词等错误，确保文本的准确性和可读性。
+        """
+        
+        kwargs = {}
+        kwargs["action"] = "SentenceCorrection"
+        kwargs["params"] = request._serialize()
+        kwargs["resp_cls"] = models.SentenceCorrectionResponse
+        kwargs["headers"] = request.headers
+        kwargs["opts"] = opts or {}
+        
+        return await self.call_and_deserialize(**kwargs)