修复 过时的AI请求temperature 字段

新增 页面持久化

VideoAnalysis/Expand/CoravelExpand.cs

@@ -18,7 +18,9 @@ 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

@@ -100,6 +100,7 @@ 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

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

@@ -139,6 +139,7 @@ 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

@@ -155,9 +155,13 @@ 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[subtitleI]?.text || "";
+    currentSubtitle1.value = subtitles1.value[subtitleI1]?.text || "";
   } else if (subtitleI == -1) {
     currentSubtitle.value = "";
     currentSubtitle1.value = "";

VideoAnalysisCore/AICore/GPT/BserGPT.cs

@@ -62,12 +62,6 @@ 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

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

VideoAnalysisCore/AICore/GPT/DeepSeek/DeepSeekGPTClient.cs

@@ -57,7 +57,6 @@ 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;
@@ -34,9 +34,10 @@ 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
@@ -65,10 +66,6 @@ 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 chatGPTClient.ChatAsync<FileNameInfo>
+            var fileNameInfoRes = await geminiClient.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 = 1 },
+                { MaxDegreeOfParallelism = 4 },
 #else
                 { MaxDegreeOfParallelism = 9 },
 #endif
@@ -326,25 +326,23 @@ namespace VideoAnalysisCore.AICore.GPT.DeepSeek
                 var postMessages =
                 $$"""
                 # Role
-                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。
+                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。
                 # 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。
-                * `r` (Result): 字幕内容，仅对此字段进行清洗。
-                # Processing Rules (按优先级执行)
+                    `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。
+                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.  上下文关联修正 (核心任务)：
+                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。
+                    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}}
@@ -436,7 +434,13 @@ 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))
@@ -721,6 +725,8 @@ 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()
@@ -796,6 +802,10 @@ 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())))
@@ -846,6 +856,8 @@ 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

@@ -56,7 +56,6 @@ 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

@@ -11,6 +11,7 @@ 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;
@@ -49,7 +50,7 @@ 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(int numThreads = 6, bool useGPU = false, bool useHotwords = false)
+        public void Init(SubjectEnum? subject = null, int numThreads = 10, bool useGPU = false, bool useHotwords = false)
         {
             Console.WriteLine("初始化 FunASRNano");
             OfflineRecognizerConfig config = new OfflineRecognizerConfig();
@@ -63,17 +64,23 @@ 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.";
-            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!";
+            //加上学科为空的处理
+            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 = 0.8f;
+            config.ModelConfig.FunAsrNano.TopP = 0.7f;
+            //种子
             config.ModelConfig.FunAsrNano.Seed = 42;
 
             //模型类型
@@ -81,10 +88,10 @@ 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);
         }
@@ -106,15 +113,17 @@ 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();
+            if (OR is null) Init(taskInfo.Subject);
             serviceProvider.GetRequiredService<SherpaVad>()
-               .TaskHandle(new WaveReader(filePath), null, SoundHandle, SherpaVadVersion.ten_vad_324);
-
+               .TaskHandle(new WaveReader(filePath), task, 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 = 0.3f;
+                    VADModelConfig.SileroVad.Threshold = 0.25f;
                     //(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)
+                    if (sp.Count > 0 && !string.IsNullOrWhiteSpace(segment.Text))
                         results.Add(segment, sp);
                 }
 

VideoAnalysisCore/Common/RedisExpand.cs

@@ -110,12 +110,14 @@ 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)
+        public RedisInit(FFMPGEHandle fFMPGE, SenseVoice senseVoice, RedisManager redisManager, FunASRNano funASRNano)
         {
             FFMPGE = fFMPGE;
             this.senseVoice = senseVoice;
+            this.funASRNano = funASRNano;
             this.redisManager = redisManager;
             Init();
             redisManager.InitChannel();
@@ -138,6 +140,7 @@ 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) =>
             {
@@ -430,15 +433,20 @@ 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)
             {
-                var oldTaskArr = Redis.LRange(RedisExpandKey.IDTask, 0, oldTaskCount);
-                //不自动清理未完成任务 等待执行完毕/失败后自动清理
-                //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
-                foreach (var oldTask in oldTaskArr.Take(5)) 
+                //获取所有未完成的任务
+                var oldTaskArr = Redis.LRange(RedisExpandKey.IDTask, 0, -1);
+                Console.WriteLine($"{DateTime.Now:HH:mm:ss}-------------> 发现 {oldTaskArr.Length} 个未完成任务，准备恢复...");
+
+                //使用信号量限制并发数(5)，防止崩溃
+                using var semaphore = new System.Threading.SemaphoreSlim(5);
+                var retryTaskArr = new List<Task>();
+
+                foreach (var oldTask in oldTaskArr)
                 {
-                    _ = Task.Run(async () =>
+                    await semaphore.WaitAsync();
+                    var res = Task.Run(async () =>
                      {
                          try
                          {
@@ -450,10 +458,21 @@ namespace VideoAnalysisCore.Common
                          catch (Exception ex)
                          {
                              await SetTaskErrorMessage(long.Parse(oldTask), ex);
-                             throw;
+                             Console.WriteLine($"恢复任务 {oldTask} 失败: {ex.Message}");
+                         }
+                         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

@@ -128,11 +128,23 @@ 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

@@ -115,6 +115,10 @@ 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;
@@ -134,6 +138,10 @@ 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();
-            senseVoice.RunTask(s);
-            return  Ok();
+            var res = senseVoice.RunTask(s);
+            return  Ok(res);
         }
         /// <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

@@ -0,0 +1,18 @@
+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

@@ -0,0 +1,17 @@
+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

@@ -83,6 +83,25 @@ 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

@@ -145,5 +145,26 @@ 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

@@ -57,6 +57,7 @@ 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
@@ -75,5 +76,26 @@ 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="1.12.21" />
+		<PackageReference Include="org.k2fsa.sherpa.onnx" Version="1.12.22" />
 		<PackageReference Include="SixLabors.ImageSharp" Version="3.1.7" />
 		<PackageReference Include="SqlSugar.IOC" Version="2.0.0" />
 		<PackageReference Include="SqlSugarCore" Version="5.1.4.205" />