VideoAnalysis/Expand/CoravelExpand.cs

@@ -18,9 +18,7 @@ namespace Learn.VideoAnalysis.Expand
 
             Console.WriteLine($"{DateTime.Now}=>初始化 Coravel");
             service.AddScheduler();
-#if !DEBUG
             service.AddTransient<TaskFileClearJob>();
-#endif
             service.AddTransient<NodePackageJob>();
         }
         public static void UseCoravelExpand(this IApplicationBuilder provider)

VideoAnalysis/Program.cs

@@ -100,7 +100,6 @@ namespace Learn.VideoAnalysis
             AppCommon.Services = app.Services;
             app.UseMiddleware<BasicAuthMiddleware>("Swagger");
             // Configure the HTTP request pipeline.
-            //¿ªÆôredis¶ÓÁзþÎñ
             _ = app.Services.GetRequiredService<RedisInit>();
             app.UseSwagger();
             app.UseSwaggerUI(); 

VideoAnalysis/WebUI/src/router/modules/home.ts

@@ -18,8 +18,7 @@ export default {
       component: () => import("@/views/welcome/runningTask.vue"),
       meta: {
         title: "进行中任务",
-        showLink: true,
+        showLink: true
-        keepAlive:true,
       }
     },
     {
@@ -37,8 +36,7 @@ export default {
       component: () => import("@/views/welcome/showTask.vue"),
       meta: {
         title: "预览任务",
-        showLink: false,
+        showLink: false
-        keepAlive:true,
       }
     },
     {
@@ -47,8 +45,7 @@ export default {
       component: () => import("@/views/welcome/errorTask.vue"),
       meta: {
         title: "错误任务",
-        showLink: true,
+        showLink: true
-        keepAlive:true,
       }
     }
   ]

VideoAnalysis/WebUI/src/views/welcome/index.vue

@@ -139,7 +139,6 @@ function previewTask(row: any) {
     meta: {
       title: `任务预览` + row.id.toString().slice(-4),
       dynamicLevel: 3,
-      keepAlive: true,
     },
   });
   // 路由跳转

VideoAnalysis/WebUI/src/views/welcome/showTask.vue

@@ -155,13 +155,9 @@ function timeupdateVideo() {
   let subtitleI = subtitles.value.findIndex(
     (subtitle) => currentTime >= subtitle.start && currentTime <= subtitle.end
   );
-  // 更新字幕 AI优化字幕
-  let subtitleI1 = subtitles1.value.findLastIndex(
-    (subtitle) => currentTime >= subtitle.start
-  );
   if (subtitleI > -1 && currentSubtitle.value !== subtitles.value[subtitleI].text) {
     currentSubtitle.value = subtitles.value[subtitleI].text;
-    currentSubtitle1.value = subtitles1.value[subtitleI1]?.text || "";
+    currentSubtitle1.value = subtitles1.value[subtitleI]?.text || "";
   } else if (subtitleI == -1) {
     currentSubtitle.value = "";
     currentSubtitle1.value = "";

VideoAnalysisCore/AICore/GPT/BserGPT.cs

@@ -62,6 +62,12 @@ namespace VideoAnalysisCore.AICore.GPT
         public float? max_tokens { get; set; } = 8000;
         public float? max_completion_tokens { get; set; } = 8000;
         /// <summary>
+        /// 要使用的采样温度，介于 0 和 2 之间。较高的值（如 0.8）将使输出更加随机，而较低的值（如 0.2）将使其更加集中和确定。 我们通常建议更改此项或同时更改两者。top_p
+        /// <para>  默认为 1</para>
+        /// <para>  <see cref="ChatRequest.top_p"/>联动</para>
+        /// </summary>
+        public float? temperature { get; set; } = 0.2f;
+        /// <summary>
         /// 一种替代温度采样的方法，称为原子核采样， 其中，模型考虑具有top_p概率的标记的结果 质量。所以 0.1 表示仅包含前 10% 概率质量的代币 被考
         /// <para>建议与<see cref="ChatRequest.temperature"/>联动</para>
         /// </summary>

VideoAnalysisCore/AICore/GPT/ChatGPT/ChatGPTClient.cs

@@ -58,6 +58,7 @@ namespace VideoAnalysisCore.AICore.GPT.ChatGPT
                 title = title,
                 max_tokens = max_tokens, 
                 stream = true,
+                temperature = 0.2f,
                 messages = messageArr
             };
 

VideoAnalysisCore/AICore/GPT/DeepSeek/DeepSeekGPTClient.cs

@@ -57,6 +57,7 @@ namespace VideoAnalysisCore.AICore.GPT.ChatGPT
                 model = model ?? ChatGPTType.Deepseek_Chat,
                 max_tokens = model == ChatGPTType.Deepseek_Reasoner ? 32000 : max_tokens,
                 stream = true,
+                temperature = 0.2f,
                 messages = messageArr
             };
             return await base.ChatAsync<T>(chatReq);

VideoAnalysisCore/AICore/GPT/Dto/QuestionRes.cs

@@ -1,4 +1,4 @@
-using Newtonsoft.Json;
+using Newtonsoft.Json;
 using Newtonsoft.Json.Linq;
 using System;
 using System.Collections.Generic;
@@ -34,10 +34,9 @@ namespace VideoAnalysisCore.AICore.GPT.Dto
     }
     public class VideoKnowPointDto
     {
+        public float KnowPointWeight { get; set; }
         public string KnowPoint { get; set; }
         public string KnowPointId { get; set; }
-        public float KnowSourceTime { get; set; }
-        public float KnowPointWeight { get; set; }
         public string KnowSource { get; set; }
     }
     public class VideoKnowRes
@@ -66,6 +65,10 @@ namespace VideoAnalysisCore.AICore.GPT.Dto
         /// </summary>
         public virtual string? KnowPoint { get; set; }
         /// <summary>
+        /// 知识点权重
+        /// </summary>
+        public virtual float? KnowPointWeight { get; set; }
+        /// <summary>
         /// 知识点ID
         /// </summary>
         public virtual string? KnowPointId { get; set; }

VideoAnalysisCore/AICore/GPT/GTP_Analysis_1.cs

@@ -31,7 +31,7 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek
     /// <summary>
     /// 视频分析工作流1
     /// </summary>
-    public class GTP_Analysis_1 : IBserGPTWorkflow 
+    public class GTP_Analysis_1 : IBserGPTWorkflow
     {
         private readonly GeminiGPTClient geminiClient;
         private readonly DeepSeekGPTClient deepSeekClient;
@@ -187,7 +187,7 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek
                 $"字幕列表 {rCaptionArr}。" +
                 $"输出格式 json字符串 对象格式{fileNameResFormat}";
             var task = taskInfo.Id.ToString();
-            var fileNameInfoRes = await geminiClient.ChatAsync<FileNameInfo>
+            var fileNameInfoRes = await chatGPTClient.ChatAsync<FileNameInfo>
                 (task, fileNamePostMessages, "授课章节");
             taskInfo.Sections = fileNameInfoRes.授课章节;
             await videoTaskDB.AsUpdateable()
@@ -309,7 +309,7 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek
             await Parallel.ForAsync(0, totalCount,
                 new ParallelOptions()
 #if DEBUG
-                { MaxDegreeOfParallelism = 4 },
+                { MaxDegreeOfParallelism = 1 },
 #else
                 { MaxDegreeOfParallelism = 9 },
 #endif
@@ -326,23 +326,25 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek
                 var postMessages =
                 $$"""
                 # Role
-                你是一位{{subject}}学科的教育专家,有着资深字幕校对经验。你的任务是将{{sections}}内容的原始语音识别（STT）JSON 数据清洗为高质量教学文本。
+                你是一位{{subject}}学科的教育专家与资深校对。你的任务是将{{sections}}内容的原始语音识别（STT）JSON 数据清洗为高质量教学文本。
                 # Input & Output Protocol
                 输入和输出均为严格的 JSON 数组格式：`[{"t": number, "r": string}]`。
-                    `t` (Time): 绝对锚点，代表时间戳。严禁修改、严禁排序、严禁删除。
+                * `t` (Time): 绝对锚点，代表时间戳。严禁修改、严禁排序、严禁删除。
-                    `r` (Result): 字幕内容，仅对此字段进行清洗。
+                * `r` (Result): 字幕内容，仅对此字段进行清洗。
-                Processing Rules (按优先级执行)
+                # Processing Rules (按优先级执行)
                 1.  结构铁律 (最高优先级)：
                     长度一致：输入 N 条，输出必须 N 条。
                     时间锁定：输出的第 i 条 `t` 必须等于输入的第 i 条 `t`。
                     原地修正：禁止跨行移动文本。即使一句话被切分在两行，也不要合并它们，只需分别修正各自行的错别字即可。
-                2.  内容清洗标准：
+
-                    口语过滤：删除“那个、然后、嗯、啊、就是”等无意义填充词。若该行被清空，`r` 设为 `""`，保留对象。
+                2.  上下文关联修正 (核心任务)：
-                    LaTeX 格式化：数学/科学公式必须转换为 LaTeX (如 `$\\frac{a}{b}$`)，JSON 中反斜杠需双重转义 (`\\\\`)。
-                3.  上下文关联修正 (核心任务)：
                     全局理解，局部修正：请阅读前后多行内容来确定当前行特定词汇的含义，解决同音错别字。
                     案例：如果上一行是“求函数的”，当前行是“集值”，结合数学上下文应修正为“极值”。
                     逻辑：修正依据是“上下文语义”，但修正范围仅限“当前行文本”。
+
+                3.  内容清洗标准：
+                    口语过滤：删除“那个、然后、嗯、啊、就是”等无意义填充词。若该行被清空，`r` 设为 `""`，保留对象。
+                    LaTeX 格式化：数学/科学公式必须转换为 LaTeX (如 `$\\frac{a}{b}$`)，JSON 中反斜杠需双重转义 (`\\\\`)。
                 # Task Data
                 待处理数据 (共 {{cStrArr.Count()}} 条):
                 {{nowCaptionStr}}
@@ -434,13 +436,7 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek
             }
             return null;
         }
-        /// <summary>
+
-        /// 作业内容检查
-        /// </summary>
-        /// <param name="taskInfo"></param>
-        /// <param name="captions"></param>
-        /// <param name="sections"></param>
-        /// <returns></returns>
         private async Task<VideoKnowRes?> DetectHomeworkAssignment(VideoTask taskInfo, TotalCaptionsDto captions, string sections)
         {
             if (captions is null || string.IsNullOrWhiteSpace(captions.Captions))
@@ -725,8 +721,6 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek
                 throw new Exception("未能找到对应知识点=>" + sections);
             List<KnowledgeInfo>? knowledgeInfos = new List<KnowledgeInfo>();
             var kInfo = await knowledgeInfoDB.GetByIdAsync(know.Parent_Id);
-            if (know.Parent_Id == 0)
-                kInfo = know;
             try
             {
                 knowledgeInfos = await knowledgeInfoDB.AsQueryable()
@@ -802,10 +796,6 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek
                         Stage = s.First().Stage,
                         Theme = s.First().Theme,
                         VideoTaskId = taskInfo.Id,
-                        CourseLevel = taskInfo.CourseLevel,
-                        TextBookVersionId = taskInfo.TextBookVersionId,
-                        GradeSemester= taskInfo.GradeSemester,
-                        GradeId = taskInfo.GradeId,
                     }).ToList();
                     //尝试追加 作业布置分段
                     if (homework != null && (!questionRes.Any(s => s.Stage == StageEnum.作业布置.ToString())))
@@ -856,8 +846,6 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek
             if (know is null)
                 throw new Exception("未能找到对应知识点=>" + sections);
             var kInfo = await knowledgeInfoDB.GetByIdAsync(know.Parent_Id);
-            if (know.Parent_Id == 0)
-                kInfo = know;
             var knowledgeInfos = await knowledgeInfoDB.AsQueryable()
                 .ToChildListAsync(s => s.Parent_Id, kInfo.Parent_Id == 0 ? kInfo.Id : kInfo.Parent_Id);
             //开始分析复习课 试题

VideoAnalysisCore/AICore/GPT/Gemini/GeminiGPTClient.cs

@@ -56,6 +56,7 @@ namespace VideoAnalysisCore.AICore.GPT.ChatGPT
                 model = model,
                 max_tokens = max_tokens,
                 stream = true,
+                temperature = 0.2f,
                 messages = messageArr,
                 max_completion_tokens= 12288,
             };

VideoAnalysisCore/AICore/SherpaOnnx/FunASRNano.cs

@@ -11,7 +11,6 @@ using System.Text;
 using System.Text.Json;
 using System.Text.RegularExpressions;
 using System.Threading.Tasks;
-using UserCenter.Model.Enum;
 using VideoAnalysisCore.Common;
 using VideoAnalysisCore.Model;
 using VideoAnalysisCore.Model.Enum;
@@ -50,7 +49,7 @@ namespace VideoAnalysisCore.AICore.SherpaOnnx
         /// </summary>
         /// <param name="numThreads">默认6线程</param>
         /// <param name="useGPU">是否使用gpu 报错请看安装CUDA环境 <see cref="https://k2-fsa.github.io/sherpa/onnx/pretrained_models/whisper/large-v3.html#run-with-gpu-float32"/></param>
-        public void Init(SubjectEnum? subject = null, int numThreads = 10, bool useGPU = false, bool useHotwords = false)
+        public void Init(int numThreads = 6, bool useGPU = false, bool useHotwords = false)
         {
             Console.WriteLine("初始化 FunASRNano");
             OfflineRecognizerConfig config = new OfflineRecognizerConfig();
@@ -64,23 +63,17 @@ namespace VideoAnalysisCore.AICore.SherpaOnnx
             //将非结构化数据（文本、图像、音频等）转换为低维稠密向量
             config.ModelConfig.FunAsrNano.EncoderAdaptor = Path.Combine(topFolder, "encoder_adaptor.int8.onnx");
             //接入的大语言模型
-            //config.ModelConfig.FunAsrNano.LLM = Path.Combine(topFolder ,"llm.fp16.onnx");
+            config.ModelConfig.FunAsrNano.LLM = Path.Combine(topFolder, "llm.fp16.onnx");
-            config.ModelConfig.FunAsrNano.LLM = Path.Combine(topFolder, "int8-2025-12-30", "llm.int8.onnx");
             //插入预训练模型（如Transformer）的小型可训练模块 (如语音识别、情感分析)
             config.ModelConfig.FunAsrNano.Embedding = Path.Combine(topFolder, "embedding.int8.onnx");
             //分词器
             config.ModelConfig.FunAsrNano.Tokenizer = Path.Combine(topFolder,  "Qwen3-0.6B");
             //提示词
             config.ModelConfig.FunAsrNano.SystemPrompt = "You are a professional video audio transcription assistant.";
-            //加上学科为空的处理
+            config.ModelConfig.FunAsrNano.UserPrompt = "这是一堂中国的课堂视频音频,请你帮我分析出它讲述的内容!";
-            if (subject != null)
-                config.ModelConfig.FunAsrNano.UserPrompt = $"这是一堂中国{subject}的课堂视频音频,请你帮我分析出它讲述的内容!";
-            else
-                config.ModelConfig.FunAsrNano.UserPrompt = "这是一堂中国课堂的视频音频,请你帮我分析出它讲述的内容!";
             config.ModelConfig.FunAsrNano.MaxNewTokens = 512;
             config.ModelConfig.FunAsrNano.Temperature = 1E-06f;
-            config.ModelConfig.FunAsrNano.TopP = 0.7f;
+            config.ModelConfig.FunAsrNano.TopP = 0.8f;
-            //种子
             config.ModelConfig.FunAsrNano.Seed = 42;
 
             //模型类型
@@ -88,10 +81,10 @@ namespace VideoAnalysisCore.AICore.SherpaOnnx
             config.ModelConfig.NumThreads = numThreads;
             config.ModelConfig.Provider = "cpu";
             //需要使用GPU
-            if (useGPU)
+            if (!useGPU)
                 config.ModelConfig.Provider = "cuda";
 #if DEBUG
-            //config.ModelConfig.Debug = 1;
+            config.ModelConfig.Debug = 1;
 #endif
             OR = new OfflineRecognizer(config);
         }
@@ -113,17 +106,15 @@ namespace VideoAnalysisCore.AICore.SherpaOnnx
         /// </summary>
         /// <param name="task"></param>
         /// <returns></returns>
-        public  Task RunTask(string task)
+        public Task RunTask(string task)
         {
-            var taskInfo = serviceProvider.GetRequiredService<Repository<VideoTask>>().GetById(task);
-            if(taskInfo is null)
-                throw new Exception("task 未找到");
             var filePath = Path.Combine(task.LocalPath(), "task.wav");
             if (string.IsNullOrEmpty(filePath) || !File.Exists(filePath))
                 throw new Exception("task 音频路径未找到");
-            if (OR is null) Init(taskInfo.Subject);
+            if (OR is null) Init();
             serviceProvider.GetRequiredService<SherpaVad>()
-               .TaskHandle(new WaveReader(filePath), task, SoundHandle, SherpaVadVersion.ten_vad_324);
+               .TaskHandle(new WaveReader(filePath), null, SoundHandle, SherpaVadVersion.ten_vad_324);
+
             return Task.CompletedTask;
         }
         /// <summary>

VideoAnalysisCore/AICore/SherpaOnnx/SherpaVad.cs

@@ -90,7 +90,7 @@ namespace VideoAnalysisCore.AICore.SherpaOnnx
                     VADModelConfig.SileroVad = new SileroVadModelConfig();
                     VADModelConfig.SileroVad.Model = path;
                     //(阈值 / 灵敏度) 含义：判定为“语音”的置信度。取值范围通常在 0 到 1 之间。
-                    VADModelConfig.SileroVad.Threshold = 0.25f;
+                    VADModelConfig.SileroVad.Threshold = 0.3f;
                     //(最小静音长度)秒。 含义：“要沉默多久，我才认为这句话说完了？”
                     VADModelConfig.SileroVad.MinSilenceDuration = 0.2f;
                     // (最小语音长度)秒 含义：“这段声音至少要多长，我才认为它是有效的说话？”

VideoAnalysisCore/Common/AppCommon.cs

@@ -255,7 +255,7 @@ namespace VideoAnalysisCore.Common
                         }
                     }
                     var sp = spList.Distinct().ToList();
-                    if (sp.Count > 0 && !string.IsNullOrWhiteSpace(segment.Text))
+                    if (sp.Count > 0)
                         results.Add(segment, sp);
                 }
 

VideoAnalysisCore/Common/RedisExpand.cs

@@ -110,14 +110,12 @@ namespace VideoAnalysisCore.Common
 
         public FFMPGEHandle FFMPGE { get; set; }
         public SenseVoice senseVoice { get; set; }
-        public FunASRNano funASRNano { get; set; }
         public RedisManager redisManager { get; set; }
 
-        public RedisInit(FFMPGEHandle fFMPGE, SenseVoice senseVoice, RedisManager redisManager, FunASRNano funASRNano)
+        public RedisInit(FFMPGEHandle fFMPGE, SenseVoice senseVoice, RedisManager redisManager)
         {
             FFMPGE = fFMPGE;
             this.senseVoice = senseVoice;
-            this.funASRNano = funASRNano;
             this.redisManager = redisManager;
             Init();
             redisManager.InitChannel();
@@ -140,7 +138,6 @@ namespace VideoAnalysisCore.Common
             });
             SubscribeList.Add(RedisChannelEnum.分离音频, FFMPGE.RunAsync);
             SubscribeList.Add(RedisChannelEnum.解析字幕, senseVoice.RunTask);
-            //SubscribeList.Add(RedisChannelEnum.解析字幕, funASRNano.RunTask);
             //SubscribeList.Add(RedisChannelEnum.解析说话人,Speaker.Run);
             SubscribeList.Add(RedisChannelEnum.AI课程类型, async (task) =>
             {
@@ -433,20 +430,15 @@ namespace VideoAnalysisCore.Common
             var oldTaskCount = Redis.LLen(RedisExpandKey.IDTask);
             //重试任务并发过多可能会导致程序崩溃
             // 未能重新分析的中断任务 则单独开一个网页来处理
-            if (oldTaskCount > 0)
+            if (oldTaskCount > 0 ) 
             {
-                //获取所有未完成的任务
+                var oldTaskArr = Redis.LRange(RedisExpandKey.IDTask, 0, oldTaskCount);
-                var oldTaskArr = Redis.LRange(RedisExpandKey.IDTask, 0, -1);
+                //不自动清理未完成任务 等待执行完毕/失败后自动清理
-                Console.WriteLine($"{DateTime.Now:HH:mm:ss}-------------> 发现 {oldTaskArr.Length} 个未完成任务，准备恢复...");
+                //Redis.LTrim(RedisExpandKey.IDTask, 1, 0);//删除 redis 列表   
-
+                //最多执行5个上次中断/或者未完成的任务
-                //使用信号量限制并发数(5)，防止崩溃
+                foreach (var oldTask in oldTaskArr.Take(5)) 
-                using var semaphore = new System.Threading.SemaphoreSlim(5);
-                var retryTaskArr = new List<Task>();
-
-                foreach (var oldTask in oldTaskArr)
                 {
-                    await semaphore.WaitAsync();
+                    _ = Task.Run(async () =>
-                    var res = Task.Run(async () =>
                      {
                          try
                          {
@@ -458,21 +450,10 @@ namespace VideoAnalysisCore.Common
                          catch (Exception ex)
                          {
                              await SetTaskErrorMessage(long.Parse(oldTask), ex);
-                             Console.WriteLine($"恢复任务 {oldTask} 失败: {ex.Message}");
+                             throw;
-                         }
-                         finally
-                         {
-                             semaphore.Release();
                          }
                      });
-                    retryTaskArr.Add(res);
                 }
-                //等待所有 重试任务完成后接收新任务
-                await Task.WhenAll(retryTaskArr);
-                
-                Console.WriteLine(DateTime.Now.ToString("HH:mm:ss") + "-------------> 所有未完成任务处理完毕!");
-                ReceivingTaskAsync();
-
             }
             else
             {

VideoAnalysisCore/Controllers/Dto/ApiDto.cs

@@ -128,23 +128,11 @@ namespace VideoAnalysisCore.Controllers.Dto
         /// 用户中心的云校id
         /// </summary>
         public long? UserCenterCloudSchoolId { get; set; }
-        /// <summary>
-        /// 教材层次
-        /// </summary>
-        public CourselevelTypeEnum? CourseLevel { get; set; }
-        /// <summary>
-        /// 年级
-        /// </summary>
-        public GradeEnum? GradeId { get; set; }
 
         /// <summary>
         /// 教育阶段
         /// </summary>
         public EducationStageEnum StageId { get; set; }
-        /// <summary>
-        /// 年级册（上册/下册）
-        /// </summary>
-        public GradeSemesterEnum? GradeSemester { get; set; }
     }
     /// <summary>
     /// 视频处理 请求

VideoAnalysisCore/Controllers/LJZK_Controller.cs

@@ -115,10 +115,6 @@ namespace VideoAnalysisCore.Controllers
                     CloudSchoolId =s.UserCenterCloudSchoolId,
                     Area = s.Area,
                     HostIP = s.HostIP,
-                    StageId = s.StageId,
-                    GradeId = s.GradeId,
-                    GradeSemester = s.GradeSemester,
-                    TextBookVersionId = s.TextBookVersionId,
                 };
                 nodePackages.Add(np);
                 if (videoIdArr.Contains(s.VideoCode)) continue;
@@ -138,10 +134,6 @@ namespace VideoAnalysisCore.Controllers
                     PPTVideoUrl = pptUrl,
                     VideoType = s.CourseType,
                     CloudSchoolId = s.UserCenterCloudSchoolId,
-                    TextBookVersionId = s.TextBookVersionId,
-                    GradeSemester =s .GradeSemester,
-                    CourseLevel =s.CourseLevel,
-                    GradeId = s.GradeId,
                 });
             }
             await nodePackageInfoDB.InsertRangeAsync(nodePackages);

VideoAnalysisCore/Controllers/VideoTaskController.cs

@@ -153,8 +153,8 @@ namespace VideoAnalysisCore.Controllers
         public IActionResult AudioRecognition(IFormFile file)
         {
             using var s = file.OpenReadStream();
-            var res = senseVoice.RunTask(s);
+            senseVoice.RunTask(s);
-            return  Ok(res);
+            return  Ok();
         }
         /// <summary>
         /// 语音识别
@@ -266,7 +266,7 @@ namespace VideoAnalysisCore.Controllers
                 TagId = req.TagId,
                 PPTVideoCode = req.PPTVideoCode,
                 PPTVideoUrl = req.PPTVideoUrl,
-                VideoType = req.VideoType,
+                VideoType = req.VideoType
             };
             //入库
             await baseService.InsertAsync(task);

VideoAnalysisCore/Model/Enum/CourselevelType.cs

@@ -1,18 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace VideoAnalysisCore.Model.Enum
-{
-    /// <summary>
-    /// 课程层次
-    /// </summary>
-    public enum CourselevelTypeEnum
-    {
-        一层次 = 1,
-        二层次 = 2,
-        三层次 = 3
-    }
-}

VideoAnalysisCore/Model/Enum/GradeSemesterEnum.cs

@@ -1,17 +0,0 @@
-using System;
-using System.Collections.Generic;
-using System.Linq;
-using System.Text;
-using System.Threading.Tasks;
-
-namespace VideoAnalysisCore.Model.Enum
-{
-    /// <summary>
-    /// 年级层次
-    /// </summary>
-    public enum GradeSemesterEnum
-    {
-        上册 = 1,
-        下册 = 2
-    }
-}

VideoAnalysisCore/Model/NodePackageInfo.cs

@@ -83,25 +83,6 @@ namespace VideoAnalysisCore.Model
         /// </summary>
         public string Area { get; set; }
         /// <summary>
-        /// 年级
-        /// </summary>
-        [SugarColumn(IsNullable = true)]
-        public GradeEnum? GradeId { get; set; }
-        /// <summary>
-        /// 教育阶段
-        /// </summary>
-        [SugarColumn(IsNullable = true)]
-        public EducationStageEnum StageId { get; set; }
-        /// <summary>
-        /// 年级册（上册/下册）
-        /// </summary>
-        [SugarColumn(IsNullable = true)]
-        public GradeSemesterEnum? GradeSemester { get; set; }
-        /// <summary>
-        /// 学科网的教材版本Id
-        /// </summary>
-        public long TextBookVersionId { get; set; }
-        /// <summary>
         /// 请求区域
         /// <para>回调添加到Headers</para>
         /// </summary>

VideoAnalysisCore/Model/VideoTask.cs

@@ -145,26 +145,5 @@ namespace VideoAnalysisCore.Model
         [SugarColumn(IsNullable = true)]
         public long? CloudSchoolId { get; set; }
 
-
-        /// <summary>
-        /// 教材层次
-        /// </summary>
-        [SugarColumn(IsNullable = true)]
-        public CourselevelTypeEnum? CourseLevel { get; set; }
-        /// <summary>
-        /// 年级
-        /// </summary>
-        [SugarColumn(IsNullable = true)]
-        public GradeEnum? GradeId { get; set; }
-        /// <summary>
-        /// 年级册（上册/下册）
-        /// </summary>
-        [SugarColumn(IsNullable = true)]
-        public GradeSemesterEnum? GradeSemester { get; set; }
-        /// <summary>
-        /// 学科网的教材版本Id
-        /// </summary>
-        public long TextBookVersionId { get; set; }
-
     }
 }

VideoAnalysisCore/Model/VideoTaskStage.cs

@@ -57,7 +57,6 @@ namespace VideoAnalysisCore.Model
         /// <summary>
         /// 知识点来源 视频秒,来源原因
         /// </summary>
-        [SugarColumn(Length = 500, IsNullable = true)]
         public string Content { get; set; }
         /// <summary>
         /// 课程阶段
@@ -76,26 +75,5 @@ namespace VideoAnalysisCore.Model
         /// </summary>
         [SugarColumn(IsNullable = true)]
         public virtual string? TextbookSource { get; set; }
-
-
-        /// <summary>
-        /// 教材层次
-        /// </summary>
-        [SugarColumn(IsNullable = true)]
-        public CourselevelTypeEnum? CourseLevel { get; set; }
-        /// <summary>
-        /// 年级
-        /// </summary>
-        [SugarColumn(IsNullable = true)]
-        public GradeEnum? GradeId { get; set; }
-        /// <summary>
-        /// 年级册（上册/下册）
-        /// </summary>
-        [SugarColumn(IsNullable = true)]
-        public GradeSemesterEnum? GradeSemester { get; set; }
-        /// <summary>
-        /// 学科网的教材版本Id
-        /// </summary>
-        public long TextBookVersionId { get; set; }
     }
 }

VideoAnalysisCore/VideoAnalysisCore.csproj

@@ -71,7 +71,7 @@
 		<PackageReference Include="Microsoft.Extensions.DependencyModel" Version="7.0.0" />
 		<PackageReference Include="Microsoft.Extensions.Http" Version="8.0.0" />
 		<PackageReference Include="Newtonsoft.Json" Version="13.0.3" />
-		<PackageReference Include="org.k2fsa.sherpa.onnx" Version="1.12.22" />
+		<PackageReference Include="org.k2fsa.sherpa.onnx" Version="1.12.21" />
 		<PackageReference Include="SixLabors.ImageSharp" Version="3.1.7" />
 		<PackageReference Include="SqlSugar.IOC" Version="2.0.0" />
 		<PackageReference Include="SqlSugarCore" Version="5.1.4.205" />