diff --git a/VideoAnalysisCore/AICore/GPT/GTP_Analysis_1.cs b/VideoAnalysisCore/AICore/GPT/GTP_Analysis_1.cs index b22d303..cad5718 100644 --- a/VideoAnalysisCore/AICore/GPT/GTP_Analysis_1.cs +++ b/VideoAnalysisCore/AICore/GPT/GTP_Analysis_1.cs @@ -31,7 +31,7 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek public class GTP_Analysis_1 : IBserGPTWorkflow { private readonly GeminiGPTClient geminiClient; - private readonly DeepSeekGPTClient chatClient; + private readonly DeepSeekGPTClient deepSeekClient; private readonly BestAIClient chatGPTClient; private readonly Repository criteriaDB; private readonly RedisManager redisManager; @@ -51,7 +51,7 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek Repository knowledgeInfoDB, Repository videoKonwPointDB, SimpLetexClient simpLetexClient, Repository videoQuestionDB, OssClient ossClient, Repository videoQuestionKonwDB, RedisManager redisManager, BestAIClient chatGPTClient, GeminiGPTClient geminiClient) { - chatClient = moonshotClient; + deepSeekClient = moonshotClient; criteriaDB = criteria; this.videoTaskDB = videoTaskDB; this.knowledgeInfoDB = knowledgeInfoDB; @@ -90,7 +90,7 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek $"输出内容只返回json格式({checkResFormat1})" + $" 格式 (方法点Id|方法点名称) " + $"提供的知识点名称({knows})。"; - await redisManager.AddTaskLog(taskInfo.Id, DateTime.Now + "=>2.开始分析视频内容知识点"); + await redisManager.AddTaskLog(taskInfo.Id, "=>2.开始分析视频内容知识点"); VideoKnowRes[] konwRes; var knowOK = false; for (int i = 0; i < 4; i++) @@ -190,7 +190,7 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek var pptFormat = taskInfo.VideoType == AttachmentsInfoType.复习 ? "这堂课是习题课,所讲解内容几乎都是试题。" : string.Empty; - var checkResFormat = """{"Score":打分(number),"Evaluation":评价(string)""";//,"Data":优化后的分段(array)}"""; + var checkResFormat = """{"Score":打分(number),"Evaluation":评价以及扣分原因(string)""";//,"Data":优化后的分段(array)}"""; var checkMessage = $""" 请你担任一位专业的视频内容分析教研老师，擅长评估视频内容的结构和逻辑流暢度。 @@ -226,11 +226,11 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek return JsonSerializer.Deserialize(taskInfo.CaptionsAI); var subject = taskInfo.Subject.ToString(); var newCaptionsList = new List(captionsArr.Length); - var spanCount = 50; + var spanCount = 75; var totalCount = captionsArr.Length / spanCount + 1; await Parallel.ForAsync(0, totalCount, - new ParallelOptions() { MaxDegreeOfParallelism = 20 }, + new ParallelOptions() { MaxDegreeOfParallelism =15 }, async (s, c) => { var cArr = captionsArr @@ -242,17 +242,20 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek var nowCaptionStr = cStrArr.ToJson(); var resFormat = """[string(修改结果)]"""; var postMessages = - $"这是一堂中国{subject}课堂的字幕,由结果是语音识别提供。" + - $"字幕内容与{subject}学科{sections}章节相关。" + - $"但是识别出来的字幕包含错误的关键字 例如应当是'数列'被识别为'树列'。" + - $"所以需要你帮我修复其中的错别字,修复公式排版。" + - $"请注意,只允许对字幕进行修改。" + - $"输出内容只返回json格式({resFormat})" + - $"字幕内容(JSON字符串)" + - $"`{nowCaptionStr}`" + - $"字幕结束。" + - $"最后请确保输出字幕条数与输入字幕条数一致!!! 如果不一致则重新优化并且确保字幕条数一致!!!!"; - var resData = await chatClient.ChatAsync(taskInfo.Id.ToString(), postMessages, "优化字幕", "deepseek-chat", 3000); + $"角色设定：你是一位专业的中国{subject}学科专家，负责校对关于{sections}内容的课堂教学字幕。\n\n" + + $"任务描述：\n" + + $"请根据上下文逻辑，对输入的语音识别（STT）字幕进行深度优化。具体要求如下：\n" + + $"1. 逻辑纠错：结合{subject}学科背景，利用前后文语义修正所有错误词汇。不仅要修正同音错别词（如：树列改为数列），还要修正因识别模糊导致的语义断裂或学科术语错误。\n" + + $"2. 断句与标点：优化字幕的标点符号，并根据老师说话的语感和学科逻辑重新调整断句位置。确保每一条字幕在学术表达上自然、通顺，修复由于语音停顿造成的断句不当。\n" + + $"3. 公式规范：将字幕中提到的数学或科学公式统一转化为规范的 LaTeX 格式。\n\n" + + $"强制约束：\n" + + $"- 数量对齐：输出的字幕条数（Array Length）必须与输入的字幕条数完全一致，严禁合并、拆分或删除任何条目。\n" + + $"- 纯净返回：只允许返回 JSON 格式的字符串，严禁包含任何前言、后缀或解释性文字。\n" + + $"- 数据格式：JSON 结构必须严格符合：{resFormat}\n\n" + + $"待优化字幕内容：\n" + + $"{nowCaptionStr}\n\n" + + $"最终核对：请确保输出 JSON 中包含的字幕条数与输入的字幕条数完全对应。"; + var resData = await deepSeekClient.ChatAsync(taskInfo.Id.ToString(), postMessages, "优化字幕"); if (resData.Count() != cArr.Count()) { resData = cStrArr.ToArray(); @@ -335,7 +338,7 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek /// private async Task AnalysisVideoQuestions(VideoTask taskInfo, List knowledgeInfos) { - await redisManager.AddTaskLog(taskInfo.Id, DateTime.Now + $"=>{taskInfo.Id} 提取试题"); + await redisManager.AddTaskLog(taskInfo.Id, $"=>{taskInfo.Id} 提取试题"); if (taskInfo is null || string.IsNullOrEmpty(taskInfo.PPTKeyFrame)) return null; var farmeArr = JsonSerializer.Deserialize(taskInfo.PPTKeyFrame); @@ -376,7 +379,7 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek break; #if DEBUG - await redisManager.AddTaskLog(taskInfo.Id, DateTime.Now + $"=>{taskInfo.Id} 提取{knowInfoArr.StartTime}秒试题的试题内容"); + await redisManager.AddTaskLog(taskInfo.Id, $"=>{taskInfo.Id} 提取{knowInfoArr.StartTime}秒试题的试题内容"); #endif //var knowArr=JsonSerializer.Serialize(knowInfoArr.Select(s => new { s.KnowPointId, s.KnowPoint })); @@ -394,7 +397,7 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek $"输出内容只返回json格式为({resFormat})" + $"以下是试题内容" + $"`{sRes.Result.res.value}`"; - var resData = await chatClient.ChatAsync(taskInfo.Id.ToString(), postMessages, "提取试题"); + var resData = await deepSeekClient.ChatAsync(taskInfo.Id.ToString(), postMessages, "提取试题"); //var resData = await chatClient.ChatAsync(taskInfo.Id.ToString(), postMessages, "提取试题"); if (resData is null || resData.Count() == 0) break; @@ -435,7 +438,7 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek } catch (Exception ex) { - await redisManager.AddTaskLog(taskInfo.Id, DateTime.Now + $"=>{taskInfo.Id} 提取{knowInfoArr.StartTime}秒试题出现错误 {ex.Message}"); + await redisManager.AddTaskLog(taskInfo.Id, $"=>{taskInfo.Id} 提取{knowInfoArr.StartTime}秒试题出现错误 {ex.Message}"); } } } @@ -520,6 +523,9 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek var insertData = await GetVideoKnow(questionRes, taskInfo, sections, knowledgeInfos);//ChatGPT //校验结果质量 var checkRes = await VerifySpanQuality(questionRes, taskInfo, captions, sections, Course_Id); + + await redisManager.AddTaskLog(taskInfo.Id, $"=>课堂内容AI分析结果 得分=>{checkRes.Score} "); + await redisManager.AddTaskLog(taskInfo.Id, checkRes.Evaluation); if (checkRes != null && checkRes.Score >= 80) { @@ -527,10 +533,11 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek await videoKonwPointDB.DeleteAsync(s => s.VideoTaskId == taskInfo.Id); await videoKonwPointDB.InsertRangeAsync(insertData); break; - } + }else + await redisManager.AddTaskLog(taskInfo.Id, $"=>课堂内容AI分析结果不合格!即将重试 剩余次数{tryCount}"); if (questionRes.Any(s => s.KeepTime < 30)) { - await redisManager.AddTaskLog(taskInfo.Id, DateTime.Now + "=>视频分段过短!! 重新进行AI分析"); + await redisManager.AddTaskLog(taskInfo.Id, "=>视频分段过短!! 重新进行AI分析"); continue; } }