refactor: 将recognizer模块拆分到现有模块中
- 将课表识别功能合并到captcha模块 - 将RecognizerClient添加到client模块 - 将输出函数移至models/output.go - 更新API结构体添加扩展字段 - 删除recognizer目录
This commit is contained in:
lafay
@@ -1,14 +1,21 @@
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package captcha
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import (
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"bytes"
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"encoding/base64"
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"encoding/json"
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"fmt"
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"io"
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"log"
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"net/http"
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"os"
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"regexp"
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"strings"
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"time"
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"jwts/client"
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"jwts/config"
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"jwts/models"
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"github.com/PuerkitoBio/goquery"
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)
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@@ -70,3 +77,192 @@ func GetAndRecognize(client *http.Client) (string, error) {
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func ParseHTML(html string) (*goquery.Document, error) {
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return goquery.NewDocumentFromReader(strings.NewReader(html))
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}
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// RecognizeScheduleFromFile 从图片文件识别课表
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func RecognizeScheduleFromFile(imagePath string) ([]models.Course, error) {
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fmt.Printf("[识别] 正在读取图片: %s\n", imagePath)
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imageData, err := os.ReadFile(imagePath)
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if err != nil {
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return nil, fmt.Errorf("读取图片失败: %v", err)
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}
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imageBase64 := base64.StdEncoding.EncodeToString(imageData)
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fmt.Printf("[识别] 图片大小: %d bytes\n", len(imageData))
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return callScheduleAPI(imageBase64)
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}
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// RecognizeScheduleFromBytes 从图片数据识别课表
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func RecognizeScheduleFromBytes(imageData []byte) ([]models.Course, error) {
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fmt.Printf("[识别] 正在处理图片数据, 大小: %d bytes\n", len(imageData))
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imageBase64 := base64.StdEncoding.EncodeToString(imageData)
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return callScheduleAPI(imageBase64)
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}
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// RecognizeScheduleFromBase64 从base64数据识别课表
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func RecognizeScheduleFromBase64(imageBase64 string) ([]models.Course, error) {
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fmt.Printf("[识别] 正在处理base64图片数据, 长度: %d\n", len(imageBase64))
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return callScheduleAPI(imageBase64)
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}
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// callScheduleAPI 调用API识别课表（带重试机制）
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func callScheduleAPI(imageBase64 string) ([]models.Course, error) {
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maxRetries := 3
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for retry := 0; retry < maxRetries; retry++ {
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if retry > 0 {
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fmt.Printf("[识别] 第 %d 次重试...\n", retry+1)
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time.Sleep(5 * time.Second)
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}
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courses, err := callScheduleAPISingle(imageBase64)
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if err == nil {
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return courses, nil
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}
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fmt.Printf("[识别] 尝试 %d/%d 失败: %v\n", retry+1, maxRetries, err)
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if !strings.Contains(err.Error(), "504") {
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return nil, err
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}
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}
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return nil, fmt.Errorf("已达到最大重试次数")
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}
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// callScheduleAPISingle 单次API调用
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func callScheduleAPISingle(imageBase64 string) ([]models.Course, error) {
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if config.RecognizerAPIKey == "" {
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return nil, fmt.Errorf("RECOGNIZER_API_KEY 未配置")
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}
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falseVal := false
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zero := 0
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apiReq := models.APIRequest{
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Model: config.RecognizerModel,
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MaxTokens: 4000,
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EnableThinking: &falseVal,
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ThinkingBudget: &zero,
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Messages: []models.Message{
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{
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Role: "user",
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Content: []models.ContentItem{
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{
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Type: "text",
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Text: `请解析以下课表图片，提取所有课程信息并以JSON数组格式返回。
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JSON格式要求：
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[{"name":"课程名","teacher":"老师名","room":"教室","schedule":[{"day":"星期X","section":[节次数组],"weeks":[周数数组]}]}]
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注意事项：
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1. day使用"星期一"到"星期日"
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2. section节次：上午1-2节为[1,2]，上午3-4节为[3,4]，下午5-6节为[5,6]，下午7-8节为[7,8]，晚上9-10节为[9,10]，晚上11-12节为[11,12]
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3. weeks周数：格式如[1,2,3,4,5,6,7,8]或[9,10,11,12,13,14,15,16]
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4. 只返回JSON数组，不要任何其他文字。`,
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},
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{
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Type: "image_url",
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ImageURL: &models.ImageURL{
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URL: "data:image/png;base64," + imageBase64,
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},
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},
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},
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},
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},
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}
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jsonData, err := json.Marshal(apiReq)
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if err != nil {
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return nil, err
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}
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httpReq, err := http.NewRequest("POST", config.RecognizerAPIURL, bytes.NewBuffer(jsonData))
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if err != nil {
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return nil, err
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}
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httpReq.Header = http.Header{
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"Content-Type": []string{"application/json"},
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"Authorization": []string{"Bearer " + config.RecognizerAPIKey},
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}
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fmt.Println("[识别] 正在调用API进行识别...")
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resp, err := client.RecognizerClient.Do(httpReq)
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if err != nil {
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return nil, fmt.Errorf("API调用失败: %v", err)
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}
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defer resp.Body.Close()
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if resp.StatusCode != 200 {
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respBody, _ := io.ReadAll(resp.Body)
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return nil, fmt.Errorf("API调用失败: %d, %s", resp.StatusCode, string(respBody))
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}
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var apiResp models.APIResponse
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err = json.NewDecoder(resp.Body).Decode(&apiResp)
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if err != nil {
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return nil, fmt.Errorf("API响应解析失败: %v", err)
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}
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if len(apiResp.Choices) == 0 {
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return nil, fmt.Errorf("API返回为空")
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}
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var resultText string
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switch c := apiResp.Choices[0].Message.Content.(type) {
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case string:
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resultText = c
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case []interface{}:
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for _, item := range c {
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if itemMap, ok := item.(map[string]interface{}); ok {
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if text, ok := itemMap["text"].(string); ok {
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resultText = text
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break
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}
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}
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}
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}
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fmt.Println("[识别] API响应已接收，正在解析...")
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fmt.Printf("[识别] 原始响应: %s\n", resultText)
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var jsonMatch string
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jsonBlockMatch := regexp.MustCompile("(?s)```json\\s*(\\[[\\s\\S]*?\\])\\s*```").FindStringSubmatch(resultText)
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if len(jsonBlockMatch) > 1 {
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jsonMatch = jsonBlockMatch[1]
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fmt.Println("[识别] 从json代码块中提取JSON")
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} else {
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jsonBlockMatch = regexp.MustCompile("(?s)```\\s*(\\[[\\s\\S]*?\\])\\s*```").FindStringSubmatch(resultText)
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if len(jsonBlockMatch) > 1 {
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jsonMatch = jsonBlockMatch[1]
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fmt.Println("[识别] 从代码块中提取JSON")
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} else {
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jsonMatch = regexp.MustCompile(`(\[[\s\S]*\])`).FindString(resultText)
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if jsonMatch == "" {
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return nil, fmt.Errorf("未找到JSON数据，原始响应: %s", resultText)
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}
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fmt.Println("[识别] 从文本中提取JSON")
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}
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}
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var courses []models.Course
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err = json.Unmarshal([]byte(jsonMatch), &courses)
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if err != nil {
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return nil, fmt.Errorf("JSON解析失败: %v, 数据: %s", err, jsonMatch)
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}
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fmt.Printf("[识别] 成功解析 %d 门课程\n", len(courses))
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return courses, nil
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}
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func init() {
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if config.RecognizerAPIKey == "" {
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log.Println("警告: RECOGNIZER_API_KEY 未设置，图片识别功能将无法使用")
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}
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log.Println("captcha模块已初始化")
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}
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@@ -7,14 +7,15 @@ import (
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"net/http/cookiejar"
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"net/url"
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"strings"
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"time"
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"jwts/config"
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)
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// 全局HTTP客户端
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var Client *http.Client
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// 初始化HTTP客户端
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var RecognizerClient *http.Client
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func InitClient() {
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jar, err := cookiejar.New(nil)
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if err != nil {
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@@ -23,6 +24,10 @@ func InitClient() {
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Client = &http.Client{
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Jar: jar,
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}
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RecognizerClient = &http.Client{
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Timeout: 120 * time.Second,
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}
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}
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// 设置请求头
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60
main.go
60
main.go
@@ -16,8 +16,8 @@ import (
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"jwts/client"
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"jwts/config"
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grpcClient "jwts/grpc"
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"jwts/models"
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"jwts/parser"
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"jwts/recognizer"
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"github.com/gin-gonic/gin"
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)
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@@ -49,35 +49,55 @@ func runGRPCClient(serverAddr string) {
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log.Printf("启动 gRPC 客户端, Runner ID: %s, 版本: %s", runnerID, version)
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client := grpcClient.NewClient(serverAddr, runnerID, version)
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handler := grpcClient.NewTaskHandler()
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client.SetHandler(handler)
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ctx, cancel := context.WithCancel(context.Background())
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defer cancel()
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// 处理信号
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sigChan := make(chan os.Signal, 1)
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signal.Notify(sigChan, syscall.SIGINT, syscall.SIGTERM)
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if err := client.Connect(ctx); err != nil {
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log.Printf("连接失败: %v", err)
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os.Exit(1)
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}
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go func() {
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<-sigChan
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log.Println("正在关闭...")
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client.Close()
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cancel()
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}()
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// 启动心跳
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go client.HeartbeatLoop(ctx, 30*time.Second)
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reconnectInterval := 5 * time.Second
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// 运行主循环
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if err := client.Run(ctx); err != nil {
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log.Printf("客户端错误: %v", err)
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for {
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select {
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case <-ctx.Done():
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log.Println("客户端已停止")
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return
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default:
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}
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client := grpcClient.NewClient(serverAddr, runnerID, version)
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handler := grpcClient.NewTaskHandler()
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client.SetHandler(handler)
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if err := client.Connect(ctx); err != nil {
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log.Printf("连接失败: %v, %v 后重试...", err, reconnectInterval)
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time.Sleep(reconnectInterval)
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continue
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}
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heartbeatCtx, heartbeatCancel := context.WithCancel(ctx)
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go client.HeartbeatLoop(heartbeatCtx, 30*time.Second)
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err := client.Run(ctx)
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heartbeatCancel()
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client.Close()
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if ctx.Err() != nil {
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return
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}
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if err != nil {
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log.Printf("连接断开: %v, %v 后重连...", err, reconnectInterval)
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} else {
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log.Printf("连接已关闭, %v 后重连...", reconnectInterval)
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}
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time.Sleep(reconnectInterval)
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}
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}
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@@ -117,15 +137,15 @@ func runHTTPServer() {
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return
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}
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courses, err := recognizer.RecognizeFromBytes(imageData)
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courses, err := captcha.RecognizeScheduleFromBytes(imageData)
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if err != nil {
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c.JSON(http.StatusInternalServerError, gin.H{"error": "识别失败", "details": err.Error()})
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return
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}
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recognizer.PrintCourses(courses)
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models.PrintCourses(courses)
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err = recognizer.SaveToJSON(courses, "schedule_result.json")
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err = models.SaveToJSON(courses, "schedule_result.json")
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if err != nil {
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log.Printf("保存JSON失败: %v", err)
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}
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@@ -2,9 +2,11 @@ package models
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// APIRequest API请求结构
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type APIRequest struct {
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Model string `json:"model"`
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Messages []Message `json:"messages"`
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MaxTokens int `json:"max_tokens"`
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Model string `json:"model"`
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Messages []Message `json:"messages"`
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MaxTokens int `json:"max_tokens"`
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EnableThinking *bool `json:"enable_thinking,omitempty"`
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ThinkingBudget *int `json:"thinking_budget,omitempty"`
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}
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// Message 消息结构
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39
models/output.go
Normal file
39
models/output.go
Normal file
@@ -0,0 +1,39 @@
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package models
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import (
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"encoding/json"
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"fmt"
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"os"
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)
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func SaveToJSON(courses []Course, filename string) error {
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jsonData, err := json.MarshalIndent(courses, "", " ")
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if err != nil {
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return err
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}
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err = os.WriteFile(filename, jsonData, 0644)
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if err != nil {
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return err
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}
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fmt.Printf("[输出] JSON结果已保存到: %s\n", filename)
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return nil
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}
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func PrintCourses(courses []Course) {
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fmt.Println("\n==================================================")
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fmt.Println("识别结果：")
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fmt.Println("==================================================")
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for i, course := range courses {
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fmt.Printf("\n课程 %d: %s\n", i+1, course.Name)
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fmt.Printf(" 教师: %s\n", course.Teacher)
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fmt.Printf(" 教室: %s\n", course.Room)
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fmt.Printf(" 时间:")
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for _, sch := range course.Schedule {
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fmt.Printf(" %s %v 周%v", sch.Day, sch.Section, sch.Weeks)
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}
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fmt.Println()
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}
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fmt.Println("\n==================================================")
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}
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@@ -1,298 +0,0 @@
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package recognizer
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|
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import (
|
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"bytes"
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"encoding/base64"
|
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"encoding/json"
|
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"fmt"
|
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"io"
|
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"log"
|
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"net/http"
|
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"os"
|
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"regexp"
|
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"strings"
|
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"time"
|
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|
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"jwts/config"
|
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"jwts/models"
|
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)
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|
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// APIRequest API请求结构
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type APIRequest struct {
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Model string `json:"model"`
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Messages []Message `json:"messages"`
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MaxTokens int `json:"max_tokens"`
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EnableThinking *bool `json:"enable_thinking,omitempty"`
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ThinkingBudget *int `json:"thinking_budget,omitempty"`
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}
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|
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// Message 消息结构
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type Message struct {
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Role string `json:"role"`
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Content interface{} `json:"content"`
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}
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|
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// ContentItem 内容项
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type ContentItem struct {
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Type string `json:"type,omitempty"`
|
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Text string `json:"text,omitempty"`
|
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ImageURL *ImageURL `json:"image_url,omitempty"`
|
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}
|
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|
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// ImageURL 图片URL
|
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type ImageURL struct {
|
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URL string `json:"url"`
|
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}
|
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|
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// APIResponse API响应结构
|
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type APIResponse struct {
|
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Choices []Choice `json:"choices"`
|
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}
|
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|
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// Choice 选择
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type Choice struct {
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Message Message `json:"message"`
|
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}
|
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|
||||
// 全局HTTP客户端
|
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var client *http.Client
|
||||
|
||||
// 初始化HTTP客户端
|
||||
func init() {
|
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client = &http.Client{
|
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Timeout: 120 * time.Second,
|
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}
|
||||
|
||||
if config.RecognizerAPIKey == "" {
|
||||
log.Println("警告: RECOGNIZER_API_KEY 未设置，图片识别功能将无法使用")
|
||||
}
|
||||
|
||||
log.Println("recognizer模块已初始化")
|
||||
}
|
||||
|
||||
// RecognizeFromFile 从图片文件识别课表
|
||||
func RecognizeFromFile(imagePath string) ([]models.Course, error) {
|
||||
fmt.Printf("[识别] 正在读取图片: %s\n", imagePath)
|
||||
|
||||
// 读取图片文件
|
||||
imageData, err := os.ReadFile(imagePath)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("读取图片失败: %v", err)
|
||||
}
|
||||
|
||||
// 将图片转为base64
|
||||
imageBase64 := base64.StdEncoding.EncodeToString(imageData)
|
||||
fmt.Printf("[识别] 图片大小: %d bytes\n", len(imageData))
|
||||
|
||||
return callAPI(imageBase64)
|
||||
}
|
||||
|
||||
// RecognizeFromBytes 从图片数据识别课表
|
||||
func RecognizeFromBytes(imageData []byte) ([]models.Course, error) {
|
||||
fmt.Printf("[识别] 正在处理图片数据, 大小: %d bytes\n", len(imageData))
|
||||
|
||||
// 将图片转为base64
|
||||
imageBase64 := base64.StdEncoding.EncodeToString(imageData)
|
||||
|
||||
return callAPI(imageBase64)
|
||||
}
|
||||
|
||||
// RecognizeFromBase64 从base64数据识别课表
|
||||
func RecognizeFromBase64(imageBase64 string) ([]models.Course, error) {
|
||||
fmt.Printf("[识别] 正在处理base64图片数据, 长度: %d\n", len(imageBase64))
|
||||
|
||||
return callAPI(imageBase64)
|
||||
}
|
||||
|
||||
// callAPI 调用API识别课表（带重试机制）
|
||||
func callAPI(imageBase64 string) ([]models.Course, error) {
|
||||
// 重试机制
|
||||
maxRetries := 3
|
||||
for retry := 0; retry < maxRetries; retry++ {
|
||||
if retry > 0 {
|
||||
fmt.Printf("[识别] 第 %d 次重试...\n", retry+1)
|
||||
time.Sleep(5 * time.Second) // 等待5秒后重试
|
||||
}
|
||||
|
||||
courses, err := callAPISingle(imageBase64)
|
||||
if err == nil {
|
||||
return courses, nil
|
||||
}
|
||||
|
||||
fmt.Printf("[识别] 尝试 %d/%d 失败: %v\n", retry+1, maxRetries, err)
|
||||
|
||||
// 如果是504超时，继续重试；否则直接返回错误
|
||||
if !strings.Contains(err.Error(), "504") {
|
||||
return nil, err
|
||||
}
|
||||
}
|
||||
|
||||
return nil, fmt.Errorf("已达到最大重试次数")
|
||||
}
|
||||
|
||||
// callAPISingle 单次API调用
|
||||
func callAPISingle(imageBase64 string) ([]models.Course, error) {
|
||||
if config.RecognizerAPIKey == "" {
|
||||
return nil, fmt.Errorf("RECOGNIZER_API_KEY 未配置")
|
||||
}
|
||||
|
||||
falseVal := false
|
||||
zero := 0
|
||||
apiReq := APIRequest{
|
||||
Model: config.RecognizerModel,
|
||||
MaxTokens: 4000,
|
||||
EnableThinking: &falseVal,
|
||||
ThinkingBudget: &zero,
|
||||
Messages: []Message{
|
||||
{
|
||||
Role: "user",
|
||||
Content: []ContentItem{
|
||||
{
|
||||
Type: "text",
|
||||
Text: `请解析以下课表图片，提取所有课程信息并以JSON数组格式返回。
|
||||
|
||||
JSON格式要求：
|
||||
[{"name":"课程名","teacher":"老师名","room":"教室","schedule":[{"day":"星期X","section":[节次数组],"weeks":[周数数组]}]}]
|
||||
|
||||
注意事项：
|
||||
1. day使用"星期一"到"星期日"
|
||||
2. section节次：上午1-2节为[1,2]，上午3-4节为[3,4]，下午5-6节为[5,6]，下午7-8节为[7,8]，晚上9-10节为[9,10]，晚上11-12节为[11,12]
|
||||
3. weeks周数：格式如[1,2,3,4,5,6,7,8]或[9,10,11,12,13,14,15,16]
|
||||
4. 只返回JSON数组，不要任何其他文字。`,
|
||||
},
|
||||
{
|
||||
Type: "image_url",
|
||||
ImageURL: &ImageURL{
|
||||
URL: "data:image/png;base64," + imageBase64,
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
jsonData, err := json.Marshal(apiReq)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
httpReq, err := http.NewRequest("POST", config.RecognizerAPIURL, bytes.NewBuffer(jsonData))
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
httpReq.Header = http.Header{
|
||||
"Content-Type": []string{"application/json"},
|
||||
"Authorization": []string{"Bearer " + config.RecognizerAPIKey},
|
||||
}
|
||||
|
||||
fmt.Println("[识别] 正在调用API进行识别...")
|
||||
resp, err := client.Do(httpReq)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("API调用失败: %v", err)
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
if resp.StatusCode != 200 {
|
||||
respBody, _ := io.ReadAll(resp.Body)
|
||||
return nil, fmt.Errorf("API调用失败: %d, %s", resp.StatusCode, string(respBody))
|
||||
}
|
||||
|
||||
var apiResp APIResponse
|
||||
err = json.NewDecoder(resp.Body).Decode(&apiResp)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("API响应解析失败: %v", err)
|
||||
}
|
||||
|
||||
if len(apiResp.Choices) == 0 {
|
||||
return nil, fmt.Errorf("API返回为空")
|
||||
}
|
||||
|
||||
// 处理Content，可能是string或[]ContentItem
|
||||
var resultText string
|
||||
switch c := apiResp.Choices[0].Message.Content.(type) {
|
||||
case string:
|
||||
resultText = c
|
||||
case []interface{}:
|
||||
for _, item := range c {
|
||||
if itemMap, ok := item.(map[string]interface{}); ok {
|
||||
if text, ok := itemMap["text"].(string); ok {
|
||||
resultText = text
|
||||
break
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
fmt.Println("[识别] API响应已接收，正在解析...")
|
||||
fmt.Printf("[识别] 原始响应: %s\n", resultText)
|
||||
|
||||
// 提取JSON部分
|
||||
var jsonMatch string
|
||||
|
||||
// 1. 先尝试匹配 ```json ... ``` 代码块
|
||||
jsonBlockMatch := regexp.MustCompile("(?s)```json\\s*(\\[[\\s\\S]*?\\])\\s*```").FindStringSubmatch(resultText)
|
||||
if len(jsonBlockMatch) > 1 {
|
||||
jsonMatch = jsonBlockMatch[1]
|
||||
fmt.Println("[识别] 从json代码块中提取JSON")
|
||||
} else {
|
||||
// 2. 尝试匹配 ``` ... ``` 代码块中的数组
|
||||
jsonBlockMatch = regexp.MustCompile("(?s)```\\s*(\\[[\\s\\S]*?\\])\\s*```").FindStringSubmatch(resultText)
|
||||
if len(jsonBlockMatch) > 1 {
|
||||
jsonMatch = jsonBlockMatch[1]
|
||||
fmt.Println("[识别] 从代码块中提取JSON")
|
||||
} else {
|
||||
// 3. 查找最外层的JSON数组（匹配第一个 [ 到最后一个 ]）
|
||||
// 使用非贪婪匹配找到完整的JSON数组
|
||||
jsonMatch = regexp.MustCompile(`(\[[\s\S]*\])`).FindString(resultText)
|
||||
if jsonMatch == "" {
|
||||
return nil, fmt.Errorf("未找到JSON数据，原始响应: %s", resultText)
|
||||
}
|
||||
fmt.Println("[识别] 从文本中提取JSON")
|
||||
}
|
||||
}
|
||||
|
||||
// 解析JSON
|
||||
var courses []models.Course
|
||||
err = json.Unmarshal([]byte(jsonMatch), &courses)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("JSON解析失败: %v, 数据: %s", err, jsonMatch)
|
||||
}
|
||||
|
||||
fmt.Printf("[识别] 成功解析 %d 门课程\n", len(courses))
|
||||
return courses, nil
|
||||
}
|
||||
|
||||
// SaveToJSON 保存课程数据到JSON文件
|
||||
func SaveToJSON(courses []models.Course, filename string) error {
|
||||
jsonData, err := json.MarshalIndent(courses, "", " ")
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
err = os.WriteFile(filename, jsonData, 0644)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
|
||||
fmt.Printf("[输出] JSON结果已保存到: %s\n", filename)
|
||||
return nil
|
||||
}
|
||||
|
||||
// PrintCourses 打印课程信息
|
||||
func PrintCourses(courses []models.Course) {
|
||||
fmt.Println("\n==================================================")
|
||||
fmt.Println("识别结果：")
|
||||
fmt.Println("==================================================")
|
||||
for i, course := range courses {
|
||||
fmt.Printf("\n课程 %d: %s\n", i+1, course.Name)
|
||||
fmt.Printf(" 教师: %s\n", course.Teacher)
|
||||
fmt.Printf(" 教室: %s\n", course.Room)
|
||||
fmt.Printf(" 时间:")
|
||||
for _, sch := range course.Schedule {
|
||||
fmt.Printf(" %s %v 周%v", sch.Day, sch.Section, sch.Weeks)
|
||||
}
|
||||
fmt.Println()
|
||||
}
|
||||
fmt.Println("\n==================================================")
|
||||
}
|
||||
Reference in New Issue
Block a user