添加AI流式题目解析功能
实现了基于OpenAI的流式题目解析系统，支持答题后查看AI生成的详细解析。 主要功能： - 流式输出：采用SSE (Server-Sent Events) 实现实时流式输出，用户可看到解析逐字生成 - Markdown渲染：使用react-markdown渲染解析内容，支持标题、列表、代码块等格式 - 智能提示词：根据题目类型（选择题/填空题/判断题等）动态调整提示词 - 选择题优化：对选择题提供逐项分析和记忆口诀 - 重新生成：支持重新生成解析，temperature设为0确保输出一致性 - 优化加载：加载指示器显示在内容下方，不遮挡流式输出 技术实现： - 后端：新增ExplainQuestionStream方法支持流式响应 - 前端：使用ReadableStream API接收SSE流式数据 - UI：优化加载状态显示，避免阻塞内容展示 - 清理：删除不再使用的scripts脚本文件 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
yanlongqi
parent
201ddf5857
commit
24d098ae92
@ -5,6 +5,7 @@ import (
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"ankao/internal/models"
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"ankao/internal/services"
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"encoding/json"
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"fmt"
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"log"
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"net/http"
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"sort"
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@ -702,3 +703,79 @@ func DeletePracticeQuestion(c *gin.Context) {
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"message": "删除成功",
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})
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}
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// ExplainQuestion 生成题目解析
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func ExplainQuestion(c *gin.Context) {
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var req struct {
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QuestionID uint `json:"question_id" binding:"required"`
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}
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if err := c.ShouldBindJSON(&req); err != nil {
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c.JSON(http.StatusBadRequest, gin.H{
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"success": false,
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"message": "请求参数错误",
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})
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return
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}
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db := database.GetDB()
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var question models.PracticeQuestion
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// 查询题目
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if err := db.First(&question, req.QuestionID).Error; err != nil {
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c.JSON(http.StatusNotFound, gin.H{
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"success": false,
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"message": "题目不存在",
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})
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return
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}
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// 解析标准答案
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var standardAnswer interface{}
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if err := json.Unmarshal([]byte(question.AnswerData), &standardAnswer); err != nil {
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c.JSON(http.StatusInternalServerError, gin.H{
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"success": false,
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"message": "解析题目答案失败",
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})
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return
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}
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// 将标准答案转为字符串
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var standardAnswerStr string
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switch v := standardAnswer.(type) {
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case string:
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standardAnswerStr = v
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case []interface{}:
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// 多选题或填空题，将数组转为逗号分隔的字符串
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parts := make([]string, len(v))
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for i, item := range v {
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parts[i] = fmt.Sprint(item)
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}
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standardAnswerStr = strings.Join(parts, ", ")
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case bool:
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// 判断题
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if v {
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standardAnswerStr = "正确"
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} else {
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standardAnswerStr = "错误"
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}
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default:
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standardAnswerStr = fmt.Sprint(v)
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}
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// 设置SSE响应头
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c.Header("Content-Type", "text/event-stream")
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c.Header("Cache-Control", "no-cache")
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c.Header("Connection", "keep-alive")
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c.Header("X-Accel-Buffering", "no")
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// 调用AI服务生成流式解析
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aiService := services.NewAIGradingService()
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err := aiService.ExplainQuestionStream(c.Writer, question.Question, standardAnswerStr, question.Type)
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if err != nil {
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log.Printf("AI流式解析失败: %v", err)
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// SSE格式的错误消息
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fmt.Fprintf(c.Writer, "data: {\"error\": \"生成解析失败\"}\n\n")
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c.Writer.(http.Flusher).Flush()
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}
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}
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@ -5,6 +5,8 @@ import (
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"context"
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"encoding/json"
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"fmt"
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"io"
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"net/http"
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"strings"
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"github.com/sashabaranov/go-openai"
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@ -109,7 +111,7 @@ func (s *AIGradingService) GradeShortAnswer(question, standardAnswer, userAnswer
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}
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// parseAIResponse 解析AI返回的JSON响应
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func parseAIResponse(content string, result *AIGradingResult) error {
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func parseAIResponse(content string, result interface{}) error {
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// 移除可能的markdown代码块标记
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jsonStr := removeMarkdownCodeBlock(content)
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@ -121,6 +123,208 @@ func parseAIResponse(content string, result *AIGradingResult) error {
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return nil
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}
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// AIExplanationResult AI解析结果
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type AIExplanationResult struct {
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Explanation string `json:"explanation"` // 题目解析
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}
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// ExplainQuestionStream 生成题目解析（流式输出）
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// writer: HTTP响应写入器
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// question: 题目内容
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// standardAnswer: 标准答案
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// questionType: 题目类型
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func (s *AIGradingService) ExplainQuestionStream(writer http.ResponseWriter, question, standardAnswer, questionType string) error {
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// 构建解析提示词（直接输出，不使用JSON格式）
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prompt := fmt.Sprintf(`你是一位严谨、专业的老师，请对以下题目进行详细解析。
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题目类型：%s
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题目内容：%s
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标准答案：%s
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请提供一个详细的解析，要求：
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1. **必须实事求是**：只基于题目内容和标准答案进行解析，不要添加题目中没有的信息
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2. **不要胡编乱造**：如果某些信息不确定或题目没有提供，请如实说明，不要编造
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3. **使用Markdown格式**：使用标题、列表、加粗等markdown语法使内容更清晰易读
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解析内容要求：
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- **知识点**：说明题目考查的核心知识点
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- **解题思路**：提供清晰的解题步骤和方法
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%s
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示例输出格式：
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## 知识点
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题目考查的是...
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## 解题思路
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1. 首先分析...
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2. 然后判断...
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%s
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## 总结
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%s
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请使用markdown格式输出解析内容。`,
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questionType,
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question,
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standardAnswer,
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// 根据题目类型添加特定要求
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func() string {
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if questionType == "single-selection" || questionType == "multiple-selection" {
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return `- **选项分析**：对于选择题，必须逐项分析每个选项的对错及原因
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- **记忆口诀**：如果适用，提供便于记忆的口诀或技巧`
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}
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return "- **答案解析**：详细说明为什么这个答案是正确的"
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}(),
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// 根据题目类型添加示例格式
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func() string {
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if questionType == "single-selection" || questionType == "multiple-selection" {
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return `## 选项分析
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- **A选项**：[分析该选项]
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- **B选项**：[分析该选项]
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- **C选项**：[分析该选项]
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- **D选项**：[分析该选项]
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## 正确答案
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正确答案是... 因为...`
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}
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return `## 答案解析
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正确答案是... 因为...`
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}(),
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// 根据题目类型添加总结要求
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func() string {
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if questionType == "single-selection" || questionType == "multiple-selection" {
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return "对于选择题，可以提供记忆口诀或关键要点总结"
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}
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return "总结本题的关键要点和注意事项"
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}(),
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)
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// 调用AI API（流式）
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stream, err := s.client.CreateChatCompletionStream(
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context.Background(),
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openai.ChatCompletionRequest{
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Model: s.config.Model,
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Messages: []openai.ChatCompletionMessage{
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{
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Role: openai.ChatMessageRoleSystem,
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Content: "你是一位严谨、专业的老师，擅长深入浅出地讲解题目。你必须实事求是，只基于题目和标准答案提供解析，不编造任何不确定的信息。你使用Markdown格式输出，让学生更容易理解。",
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},
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{
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Role: openai.ChatMessageRoleUser,
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Content: prompt,
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},
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},
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Temperature: 0, // 温度为0，获得最确定、最一致的输出
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Stream: true,
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},
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)
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if err != nil {
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return fmt.Errorf("创建流式请求失败: %w", err)
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}
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defer stream.Close()
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flusher, ok := writer.(http.Flusher)
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if !ok {
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return fmt.Errorf("响应写入器不支持Flush")
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}
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// 读取流式响应并发送给客户端
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for {
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response, err := stream.Recv()
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if err == io.EOF {
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// 流结束
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fmt.Fprintf(writer, "data: [DONE]\n\n")
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flusher.Flush()
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break
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}
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if err != nil {
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return fmt.Errorf("接收流式响应失败: %w", err)
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}
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// 获取增量内容
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if len(response.Choices) > 0 {
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delta := response.Choices[0].Delta.Content
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if delta != "" {
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// 使用SSE格式发送
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fmt.Fprintf(writer, "data: %s\n\n", delta)
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flusher.Flush()
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}
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}
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}
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return nil
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}
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// ExplainQuestion 生成题目解析
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// question: 题目内容
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// standardAnswer: 标准答案
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// questionType: 题目类型
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func (s *AIGradingService) ExplainQuestion(question, standardAnswer, questionType string) (*AIExplanationResult, error) {
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// 构建解析提示词
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prompt := fmt.Sprintf(`你是一位经验丰富的老师，请对以下题目进行详细解析。
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题目类型：%s
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题目内容：%s
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标准答案：%s
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请提供一个详细的解析，包括：
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1. 题目考查的知识点
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2. 解题思路和方法
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3. 为什么选择这个答案
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4. 相关的重要概念或注意事项
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请按照以下JSON格式返回结果：
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{
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"explanation": "这道题考查的是...(200字以内的详细解析)"
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}
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注意：只返回JSON格式的结果，不要有其他内容。`, questionType, question, standardAnswer)
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// 调用AI API
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resp, err := s.client.CreateChatCompletion(
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context.Background(),
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openai.ChatCompletionRequest{
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Model: s.config.Model,
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Messages: []openai.ChatCompletionMessage{
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{
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Role: openai.ChatMessageRoleSystem,
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Content: "你是一位经验丰富的老师，擅长深入浅出地讲解题目，帮助学生理解知识点。",
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},
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{
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Role: openai.ChatMessageRoleUser,
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Content: prompt,
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},
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},
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Temperature: 0.7, // 中等温度以获得有创造性的解释
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},
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)
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if err != nil {
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return nil, fmt.Errorf("AI解析失败: %w", err)
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}
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if len(resp.Choices) == 0 {
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return nil, fmt.Errorf("AI未返回解析结果")
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}
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// 解析AI返回的JSON结果
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content := resp.Choices[0].Message.Content
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var result AIExplanationResult
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if err := parseAIResponse(content, &result); err != nil {
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return nil, fmt.Errorf("解析AI响应失败: %w", err)
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}
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return &result, nil
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}
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// removeMarkdownCodeBlock 移除markdown代码块标记
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func removeMarkdownCodeBlock(s string) string {
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// 去除可能的```json和```标记
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1
main.go
1
main.go
@ -38,6 +38,7 @@ func main() {
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api.GET("/practice/questions/random", handlers.GetRandomPracticeQuestion) // 获取随机练习题目
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api.GET("/practice/questions/:id", handlers.GetPracticeQuestionByID) // 获取指定练习题目
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api.GET("/practice/types", handlers.GetPracticeQuestionTypes) // 获取题型列表
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api.POST("/practice/explain", handlers.ExplainQuestion) // 生成题目解析（AI）
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// 需要认证的路由
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auth := api.Group("", middleware.Auth())
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@ -1,26 +0,0 @@
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package main
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import (
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"ankao/internal/database"
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"ankao/internal/models"
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"fmt"
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"log"
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)
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func main() {
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// 初始化数据库
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if err := database.InitDB(); err != nil {
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log.Fatal("数据库初始化失败:", err)
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}
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db := database.GetDB()
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// 查询前5条记录
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var questions []models.PracticeQuestion
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db.Limit(5).Find(&questions)
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fmt.Println("数据库中的题目:")
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for _, q := range questions {
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fmt.Printf("ID: %d, QuestionID: %s, Type: %s, TypeName: %s\n", q.ID, q.QuestionID, q.Type, q.TypeName)
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}
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}
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@ -1,28 +0,0 @@
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package main
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import (
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"ankao/internal/database"
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"ankao/internal/models"
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"log"
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)
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func main() {
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log.Println("开始清空题目数据...")
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// 初始化数据库
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if err := database.InitDB(); err != nil {
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log.Fatal("数据库初始化失败:", err)
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}
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db := database.GetDB()
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// 清空practice_questions表
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if err := db.Exec("DELETE FROM practice_questions").Error; err != nil {
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log.Fatal("清空题目表失败:", err)
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}
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// 获取清空后的数量
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var count int64
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db.Model(&models.PracticeQuestion{}).Count(&count)
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log.Printf("题目数据已清空，当前数量: %d", count)
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}
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@ -1,92 +0,0 @@
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package main
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import (
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"ankao/internal/database"
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"ankao/internal/models"
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"encoding/json"
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"log"
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"os"
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)
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// JSONQuestion JSON中的题目结构
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type JSONQuestion struct {
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ID string `json:"id"`
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Question string `json:"question"`
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Answers interface{} `json:"answers"`
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Options interface{} `json:"options,omitempty"`
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}
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// JSONQuestionGroup JSON中的题目组结构
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type JSONQuestionGroup struct {
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Type string `json:"type"`
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TypeName string `json:"typeName"`
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List []JSONQuestion `json:"list"`
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}
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func main() {
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log.Println("开始导入题目数据...")
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// 初始化数据库
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if err := database.InitDB(); err != nil {
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log.Fatal("数据库初始化失败:", err)
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}
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// 读取JSON文件
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data, err := os.ReadFile("practice_question_pool.json")
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if err != nil {
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log.Fatal("读取JSON文件失败:", err)
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}
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// 解析JSON
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var groups []JSONQuestionGroup
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if err := json.Unmarshal(data, &groups); err != nil {
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log.Fatal("解析JSON失败:", err)
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}
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// 导入数据
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db := database.GetDB()
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totalCount := 0
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for _, group := range groups {
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log.Printf("导入题型: %s (%s), 题目数量: %d", group.TypeName, group.Type, len(group.List))
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for _, q := range group.List {
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// 将答案转换为JSON字符串存储
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answerJSON, err := json.Marshal(q.Answers)
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if err != nil {
|
||||
log.Printf("序列化答案失败 (ID: %s): %v", q.ID, err)
|
||||
continue
|
||||
}
|
||||
|
||||
// 将选项转换为JSON字符串存储
|
||||
optionsJSON := ""
|
||||
if q.Options != nil {
|
||||
optJSON, err := json.Marshal(q.Options)
|
||||
if err != nil {
|
||||
log.Printf("序列化选项失败 (ID: %s): %v", q.ID, err)
|
||||
continue
|
||||
}
|
||||
optionsJSON = string(optJSON)
|
||||
}
|
||||
|
||||
// 创建题目记录 - 直接使用group.Type，不做类型映射
|
||||
question := models.PracticeQuestion{
|
||||
QuestionID: q.ID,
|
||||
Type: group.Type,
|
||||
TypeName: group.TypeName,
|
||||
Question: q.Question,
|
||||
AnswerData: string(answerJSON),
|
||||
OptionsData: optionsJSON,
|
||||
}
|
||||
|
||||
// 插入数据库
|
||||
if err := db.Create(&question).Error; err != nil {
|
||||
log.Printf("插入题目失败 (ID: %s): %v", q.ID, err)
|
||||
continue
|
||||
}
|
||||
totalCount++
|
||||
}
|
||||
}
|
||||
|
||||
log.Printf("数据导入完成! 共导入 %d 道题目", totalCount)
|
||||
}
|
||||
@ -1,82 +0,0 @@
|
||||
package main
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
"os"
|
||||
"testing"
|
||||
)
|
||||
|
||||
// 测试JSON解析
|
||||
func TestJSONParsing(t *testing.T) {
|
||||
// 读取JSON文件
|
||||
data, err := os.ReadFile("../practice_question_pool.json")
|
||||
if err != nil {
|
||||
t.Fatalf("读取JSON文件失败: %v", err)
|
||||
}
|
||||
|
||||
// 解析JSON
|
||||
var groups []JSONQuestionGroup
|
||||
if err := json.Unmarshal(data, &groups); err != nil {
|
||||
t.Fatalf("解析JSON失败: %v", err)
|
||||
}
|
||||
|
||||
t.Logf("成功解析 %d 个题目组", len(groups))
|
||||
|
||||
// 检查每个题目组的类型信息
|
||||
for i, group := range groups {
|
||||
t.Logf("\n题目组 %d:", i+1)
|
||||
t.Logf(" Type: %s", group.Type)
|
||||
t.Logf(" TypeName: %s", group.TypeName)
|
||||
t.Logf(" 题目数量: %d", len(group.List))
|
||||
|
||||
// 检查类型映射
|
||||
t.Logf(" 原始类型: %s", group.Type)
|
||||
|
||||
// 检查是否为空
|
||||
if group.Type == "" {
|
||||
t.Errorf(" ❌ 题目组 %d 的 Type 为空！", i+1)
|
||||
}
|
||||
if group.TypeName == "" {
|
||||
t.Errorf(" ❌ 题目组 %d 的 TypeName 为空！", i+1)
|
||||
}
|
||||
if len(group.List) == 0 {
|
||||
t.Errorf(" ❌ 题目组 %d 的题目列表为空！", i+1)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 测试单个题目组解析
|
||||
func TestSingleGroupParsing(t *testing.T) {
|
||||
// 测试第一个题目组（填空题，type在list之后）
|
||||
jsonStr1 := `{
|
||||
"list": [{"id": "1", "question": "test", "answers": ["answer1"]}],
|
||||
"type": "fill-in-blank",
|
||||
"typeName": "填空题"
|
||||
}`
|
||||
|
||||
var group1 JSONQuestionGroup
|
||||
if err := json.Unmarshal([]byte(jsonStr1), &group1); err != nil {
|
||||
t.Fatalf("解析题目组1失败: %v", err)
|
||||
}
|
||||
t.Logf("题目组1 - Type: %s, TypeName: %s, 题目数: %d", group1.Type, group1.TypeName, len(group1.List))
|
||||
|
||||
// 测试第二个题目组（type在list之前）
|
||||
jsonStr2 := `{
|
||||
"type": "fill-in-blank",
|
||||
"typeName": "填空题",
|
||||
"list": [{"id": "1", "question": "test", "answers": ["answer1"]}]
|
||||
}`
|
||||
|
||||
var group2 JSONQuestionGroup
|
||||
if err := json.Unmarshal([]byte(jsonStr2), &group2); err != nil {
|
||||
t.Fatalf("解析题目组2失败: %v", err)
|
||||
}
|
||||
t.Logf("题目组2 - Type: %s, TypeName: %s, 题目数: %d", group2.Type, group2.TypeName, len(group2.List))
|
||||
|
||||
// 验证两种顺序解析结果是否一致
|
||||
if group1.Type != group2.Type || group1.TypeName != group2.TypeName {
|
||||
t.Errorf("不同字段顺序导致解析结果不一致！")
|
||||
} else {
|
||||
t.Log("✓ JSON字段顺序不影响解析结果")
|
||||
}
|
||||
}
|
||||
@ -15,6 +15,7 @@
|
||||
"axios": "^1.6.5",
|
||||
"react": "^18.2.0",
|
||||
"react-dom": "^18.2.0",
|
||||
"react-markdown": "^10.1.0",
|
||||
"react-router-dom": "^6.21.3"
|
||||
},
|
||||
"devDependencies": {
|
||||
|
||||
@ -95,3 +95,8 @@ export const updateQuestion = (id: number, data: {
|
||||
export const deleteQuestion = (id: number) => {
|
||||
return request.delete<ApiResponse<null>>(`/practice/questions/${id}`)
|
||||
}
|
||||
|
||||
// 获取题目解析（AI）
|
||||
export const explainQuestion = (questionId: number) => {
|
||||
return request.post<ApiResponse<{ explanation: string }>>('/practice/explain', { question_id: questionId })
|
||||
}
|
||||
|
||||
@ -1,6 +1,7 @@
|
||||
import React from 'react'
|
||||
import { Alert, Typography, Card, Space, Progress } from 'antd'
|
||||
import { CheckOutlined, CloseOutlined, TrophyOutlined, CommentOutlined, BulbOutlined } from '@ant-design/icons'
|
||||
import React, { useState } from 'react'
|
||||
import { Alert, Typography, Card, Space, Progress, Button, Spin } from 'antd'
|
||||
import { CheckOutlined, CloseOutlined, TrophyOutlined, CommentOutlined, BulbOutlined, FileTextOutlined, ReloadOutlined } from '@ant-design/icons'
|
||||
import ReactMarkdown from 'react-markdown'
|
||||
import type { AnswerResult as AnswerResultType } from '../types/question'
|
||||
|
||||
const { Text, Paragraph } = Typography
|
||||
@ -9,13 +10,104 @@ interface AnswerResultProps {
|
||||
answerResult: AnswerResultType
|
||||
selectedAnswer: string | string[]
|
||||
questionType: string
|
||||
questionId: number
|
||||
}
|
||||
|
||||
const AnswerResult: React.FC<AnswerResultProps> = ({
|
||||
answerResult,
|
||||
selectedAnswer,
|
||||
questionType,
|
||||
questionId,
|
||||
}) => {
|
||||
const [explanation, setExplanation] = useState<string>('')
|
||||
const [showExplanation, setShowExplanation] = useState(false)
|
||||
const [loadingExplanation, setLoadingExplanation] = useState(false)
|
||||
|
||||
// 获取AI解析（流式）
|
||||
const fetchExplanation = async () => {
|
||||
console.log('开始获取AI解析（流式），题目ID:', questionId)
|
||||
setLoadingExplanation(true)
|
||||
setExplanation('') // 清空之前的内容
|
||||
|
||||
try {
|
||||
console.log('发送请求到 /api/practice/explain')
|
||||
const response = await fetch('/api/practice/explain', {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
},
|
||||
body: JSON.stringify({ question_id: questionId }),
|
||||
})
|
||||
|
||||
console.log('收到响应，状态码:', response.status)
|
||||
if (!response.ok) {
|
||||
throw new Error('请求失败')
|
||||
}
|
||||
|
||||
const reader = response.body?.getReader()
|
||||
const decoder = new TextDecoder()
|
||||
let buffer = ''
|
||||
|
||||
if (!reader) {
|
||||
throw new Error('无法读取响应流')
|
||||
}
|
||||
|
||||
console.log('开始读取流式数据...')
|
||||
let chunkCount = 0
|
||||
while (true) {
|
||||
const { done, value } = await reader.read()
|
||||
|
||||
if (done) {
|
||||
console.log('流读取完成，共接收', chunkCount, '个数据块')
|
||||
break
|
||||
}
|
||||
|
||||
chunkCount++
|
||||
buffer += decoder.decode(value, { stream: true })
|
||||
const lines = buffer.split('\n\n')
|
||||
buffer = lines.pop() || ''
|
||||
|
||||
for (const line of lines) {
|
||||
if (line.startsWith('data: ')) {
|
||||
const data = line.slice(6)
|
||||
if (data === '[DONE]') {
|
||||
console.log('收到完成信号 [DONE]')
|
||||
break
|
||||
}
|
||||
// 追加内容
|
||||
console.log('接收数据片段:', data.substring(0, 20) + '...')
|
||||
setExplanation(prev => prev + data)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
console.log('AI解析获取成功')
|
||||
} catch (error) {
|
||||
console.error('获取解析失败', error)
|
||||
setExplanation('获取解析失败，请重试')
|
||||
} finally {
|
||||
setLoadingExplanation(false)
|
||||
}
|
||||
}
|
||||
|
||||
// 获取AI解析
|
||||
const handleGetExplanation = async () => {
|
||||
if (explanation) {
|
||||
// 如果已经有解析，直接显示/隐藏
|
||||
setShowExplanation(!showExplanation)
|
||||
return
|
||||
}
|
||||
|
||||
setShowExplanation(true)
|
||||
await fetchExplanation()
|
||||
}
|
||||
|
||||
// 重新生成解析
|
||||
const handleRegenerateExplanation = async () => {
|
||||
console.log('点击重新生成解析按钮')
|
||||
await fetchExplanation()
|
||||
}
|
||||
|
||||
// 格式化答案显示（判断题特殊处理）
|
||||
const formatAnswer = (answer: string | string[] | boolean) => {
|
||||
// 处理判断题的布尔值和字符串
|
||||
@ -54,12 +146,23 @@ const AnswerResult: React.FC<AnswerResultProps> = ({
|
||||
|
||||
return (
|
||||
<div style={{ marginTop: 20 }}>
|
||||
{/* 答题结果 */}
|
||||
<Alert
|
||||
type={answerResult.correct ? 'success' : 'error'}
|
||||
icon={answerResult.correct ? <CheckOutlined /> : <CloseOutlined />}
|
||||
message={
|
||||
<div>
|
||||
<div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center' }}>
|
||||
<strong>{answerResult.correct ? '回答正确！' : '回答错误'}</strong>
|
||||
{/* AI解析按钮 - 放在答题结果的右上角 */}
|
||||
<Button
|
||||
type="link"
|
||||
icon={<FileTextOutlined />}
|
||||
onClick={handleGetExplanation}
|
||||
loading={loadingExplanation}
|
||||
size="small"
|
||||
>
|
||||
{showExplanation ? '隐藏解析' : 'AI解析'}
|
||||
</Button>
|
||||
</div>
|
||||
}
|
||||
description={
|
||||
@ -90,6 +193,69 @@ const AnswerResult: React.FC<AnswerResultProps> = ({
|
||||
}
|
||||
/>
|
||||
|
||||
{/* AI解析内容 */}
|
||||
{showExplanation && (
|
||||
<Card
|
||||
style={{ marginTop: 16 }}
|
||||
title={
|
||||
<div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center' }}>
|
||||
<Space>
|
||||
<FileTextOutlined style={{ color: '#1890ff' }} />
|
||||
<Text strong>题目解析</Text>
|
||||
</Space>
|
||||
{explanation && !loadingExplanation && (
|
||||
<Button
|
||||
type="text"
|
||||
icon={<ReloadOutlined />}
|
||||
onClick={handleRegenerateExplanation}
|
||||
size="small"
|
||||
style={{ color: '#1890ff' }}
|
||||
>
|
||||
重新生成
|
||||
</Button>
|
||||
)}
|
||||
</div>
|
||||
}
|
||||
>
|
||||
<div style={{ color: '#595959' }}>
|
||||
{explanation ? (
|
||||
<ReactMarkdown
|
||||
components={{
|
||||
// 自定义markdown组件样式
|
||||
p: ({ children }) => <p style={{ marginBottom: '0.5em', lineHeight: '1.6' }}>{children}</p>,
|
||||
h1: ({ children }) => <h1 style={{ fontSize: '1.5em', marginTop: '0.5em', marginBottom: '0.5em' }}>{children}</h1>,
|
||||
h2: ({ children }) => <h2 style={{ fontSize: '1.3em', marginTop: '0.5em', marginBottom: '0.5em' }}>{children}</h2>,
|
||||
h3: ({ children }) => <h3 style={{ fontSize: '1.1em', marginTop: '0.5em', marginBottom: '0.5em' }}>{children}</h3>,
|
||||
ul: ({ children }) => <ul style={{ marginLeft: '1.5em', marginBottom: '0.5em' }}>{children}</ul>,
|
||||
ol: ({ children }) => <ol style={{ marginLeft: '1.5em', marginBottom: '0.5em' }}>{children}</ol>,
|
||||
li: ({ children }) => <li style={{ marginBottom: '0.3em', lineHeight: '1.6' }}>{children}</li>,
|
||||
code: ({ children }) => <code style={{ backgroundColor: '#f5f5f5', padding: '2px 6px', borderRadius: '3px', fontSize: '0.9em' }}>{children}</code>,
|
||||
pre: ({ children }) => <pre style={{ backgroundColor: '#f5f5f5', padding: '12px', borderRadius: '4px', overflow: 'auto' }}>{children}</pre>,
|
||||
blockquote: ({ children }) => <blockquote style={{ borderLeft: '4px solid #1890ff', paddingLeft: '12px', margin: '0.5em 0', color: '#666' }}>{children}</blockquote>,
|
||||
}}
|
||||
>
|
||||
{explanation}
|
||||
</ReactMarkdown>
|
||||
) : (
|
||||
loadingExplanation ? (
|
||||
<div style={{ textAlign: 'center', padding: '20px 0' }}>
|
||||
<Spin tip="AI正在生成解析中..." />
|
||||
</div>
|
||||
) : (
|
||||
<Paragraph style={{ marginBottom: 0 }}>暂无解析内容</Paragraph>
|
||||
)
|
||||
)}
|
||||
{/* 流式输出时的loading提示 */}
|
||||
{loadingExplanation && explanation && (
|
||||
<div style={{ marginTop: '10px', color: '#1890ff', fontSize: '14px' }}>
|
||||
<Spin size="small" style={{ marginRight: '8px' }} />
|
||||
正在生成中...
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</Card>
|
||||
)}
|
||||
|
||||
{/* AI评分结果 - 仅简答题显示 */}
|
||||
{answerResult.ai_grading && (
|
||||
<Card
|
||||
|
||||
@ -173,6 +173,7 @@ const QuestionCard: React.FC<QuestionCardProps> = ({
|
||||
answerResult={answerResult}
|
||||
selectedAnswer={selectedAnswer}
|
||||
questionType={question.type}
|
||||
questionId={question.id}
|
||||
/>
|
||||
)}
|
||||
|
||||
|
||||
@ -219,6 +219,9 @@ const QuestionPage: React.FC = () => {
|
||||
|
||||
// 保存进度
|
||||
saveProgress(nextIndex, correctCount, wrongCount);
|
||||
|
||||
// 滚动到页面顶部
|
||||
window.scrollTo({ top: 0, behavior: 'smooth' });
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
648
web/yarn.lock
648
web/yarn.lock
@ -723,16 +723,49 @@
|
||||
dependencies:
|
||||
"@babel/types" "^7.28.2"
|
||||
|
||||
"@types/estree@1.0.8":
|
||||
"@types/debug@^4.0.0":
|
||||
version "4.1.12"
|
||||
resolved "https://mirrors.yuchat.top/repository/npmjs/@types/debug/-/debug-4.1.12.tgz#a155f21690871953410df4b6b6f53187f0500917"
|
||||
integrity sha512-vIChWdVG3LG1SMxEvI/AK+FWJthlrqlTu7fbrlywTkkaONwk/UAGaULXRlf8vkzFBLVm0zkMdCquhL5aOjhXPQ==
|
||||
dependencies:
|
||||
"@types/ms" "*"
|
||||
|
||||
"@types/estree-jsx@^1.0.0":
|
||||
version "1.0.5"
|
||||
resolved "https://mirrors.yuchat.top/repository/npmjs/@types/estree-jsx/-/estree-jsx-1.0.5.tgz#858a88ea20f34fe65111f005a689fa1ebf70dc18"
|
||||
integrity sha512-52CcUVNFyfb1A2ALocQw/Dd1BQFNmSdkuC3BkZ6iqhdMfQz7JWOFRuJFloOzjk+6WijU56m9oKXFAXc7o3Towg==
|
||||
dependencies:
|
||||
"@types/estree" "*"
|
||||
|
||||
"@types/estree@*", "@types/estree@1.0.8", "@types/estree@^1.0.0":
|
||||
version "1.0.8"
|
||||
resolved "https://mirrors.yuchat.top/repository/npmjs/@types/estree/-/estree-1.0.8.tgz"
|
||||
integrity sha512-dWHzHa2WqEXI/O1E9OjrocMTKJl2mSrEolh1Iomrv6U+JuNwaHXsXx9bLu5gG7BUWFIN0skIQJQ/L1rIex4X6w==
|
||||
|
||||
"@types/hast@^3.0.0":
|
||||
version "3.0.4"
|
||||
resolved "https://mirrors.yuchat.top/repository/npmjs/@types/hast/-/hast-3.0.4.tgz#1d6b39993b82cea6ad783945b0508c25903e15aa"
|
||||
integrity sha512-WPs+bbQw5aCj+x6laNGWLH3wviHtoCv/P3+otBhbOhJgG8qtpdAMlTCxLtsTWA7LH1Oh/bFCHsBn0TPS5m30EQ==
|
||||
dependencies:
|
||||
"@types/unist" "*"
|
||||
|
||||
"@types/json-schema@^7.0.12":
|
||||
version "7.0.15"
|
||||
resolved "https://mirrors.yuchat.top/repository/npmjs/@types/json-schema/-/json-schema-7.0.15.tgz"
|
||||
integrity sha512-5+fP8P8MFNC+AyZCDxrB2pkZFPGzqQWUzpSeuuVLvm8VMcorNYavBqoFcxK8bQz4Qsbn4oUEEem4wDLfcysGHA==
|
||||
|
||||
"@types/mdast@^4.0.0":
|
||||
version "4.0.4"
|
||||
resolved "https://mirrors.yuchat.top/repository/npmjs/@types/mdast/-/mdast-4.0.4.tgz#7ccf72edd2f1aa7dd3437e180c64373585804dd6"
|
||||
integrity sha512-kGaNbPh1k7AFzgpud/gMdvIm5xuECykRR+JnWKQno9TAXVa6WIVCGTPvYGekIDL4uwCZQSYbUxNBSb1aUo79oA==
|
||||
dependencies:
|
||||
"@types/unist" "*"
|
||||
|
||||
"@types/ms@*":
|
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unist-util-visit-parents@^6.0.0:
|
||||
version "6.0.2"
|
||||
resolved "https://mirrors.yuchat.top/repository/npmjs/unist-util-visit-parents/-/unist-util-visit-parents-6.0.2.tgz#777df7fb98652ce16b4b7cd999d0a1a40efa3a02"
|
||||
integrity sha512-goh1s1TBrqSqukSc8wrjwWhL0hiJxgA8m4kFxGlQ+8FYQ3C/m11FcTs4YYem7V664AhHVvgoQLk890Ssdsr2IQ==
|
||||
dependencies:
|
||||
"@types/unist" "^3.0.0"
|
||||
unist-util-is "^6.0.0"
|
||||
|
||||
unist-util-visit@^5.0.0:
|
||||
version "5.0.0"
|
||||
resolved "https://mirrors.yuchat.top/repository/npmjs/unist-util-visit/-/unist-util-visit-5.0.0.tgz#a7de1f31f72ffd3519ea71814cccf5fd6a9217d6"
|
||||
integrity sha512-MR04uvD+07cwl/yhVuVWAtw+3GOR/knlL55Nd/wAdblk27GCVt3lqpTivy/tkJcZoNPzTwS1Y+KMojlLDhoTzg==
|
||||
dependencies:
|
||||
"@types/unist" "^3.0.0"
|
||||
unist-util-is "^6.0.0"
|
||||
unist-util-visit-parents "^6.0.0"
|
||||
|
||||
update-browserslist-db@^1.1.4:
|
||||
version "1.1.4"
|
||||
resolved "https://mirrors.yuchat.top/repository/npmjs/update-browserslist-db/-/update-browserslist-db-1.1.4.tgz"
|
||||
@ -2550,6 +3171,22 @@ uri-js@^4.2.2:
|
||||
dependencies:
|
||||
punycode "^2.1.0"
|
||||
|
||||
vfile-message@^4.0.0:
|
||||
version "4.0.3"
|
||||
resolved "https://mirrors.yuchat.top/repository/npmjs/vfile-message/-/vfile-message-4.0.3.tgz#87b44dddd7b70f0641c2e3ed0864ba73e2ea8df4"
|
||||
integrity sha512-QTHzsGd1EhbZs4AsQ20JX1rC3cOlt/IWJruk893DfLRr57lcnOeMaWG4K0JrRta4mIJZKth2Au3mM3u03/JWKw==
|
||||
dependencies:
|
||||
"@types/unist" "^3.0.0"
|
||||
unist-util-stringify-position "^4.0.0"
|
||||
|
||||
vfile@^6.0.0:
|
||||
version "6.0.3"
|
||||
resolved "https://mirrors.yuchat.top/repository/npmjs/vfile/-/vfile-6.0.3.tgz#3652ab1c496531852bf55a6bac57af981ebc38ab"
|
||||
integrity sha512-KzIbH/9tXat2u30jf+smMwFCsno4wHVdNmzFyL+T/L3UGqqk6JKfVqOFOZEpZSHADH1k40ab6NUIXZq422ov3Q==
|
||||
dependencies:
|
||||
"@types/unist" "^3.0.0"
|
||||
vfile-message "^4.0.0"
|
||||
|
||||
vite@^5.0.11:
|
||||
version "5.4.21"
|
||||
resolved "https://mirrors.yuchat.top/repository/npmjs/vite/-/vite-5.4.21.tgz"
|
||||
@ -2587,3 +3224,8 @@ yocto-queue@^0.1.0:
|
||||
version "0.1.0"
|
||||
resolved "https://mirrors.yuchat.top/repository/npmjs/yocto-queue/-/yocto-queue-0.1.0.tgz"
|
||||
integrity sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==
|
||||
|
||||
zwitch@^2.0.0:
|
||||
version "2.0.4"
|
||||
resolved "https://mirrors.yuchat.top/repository/npmjs/zwitch/-/zwitch-2.0.4.tgz#c827d4b0acb76fc3e685a4c6ec2902d51070e9d7"
|
||||
integrity sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==
|
||||
|
||||
Loading…
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Reference in New Issue
Block a user