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

captcha/recognize.go

@@ -1,14 +1,21 @@
 package captcha
 
 import (
+	"bytes"
+	"encoding/base64"
+	"encoding/json"
 	"fmt"
 	"io"
+	"log"
 	"net/http"
 	"os"
+	"regexp"
 	"strings"
+	"time"
 
 	"jwts/client"
 	"jwts/config"
+	"jwts/models"
 
 	"github.com/PuerkitoBio/goquery"
 )
@@ -70,3 +77,192 @@ func GetAndRecognize(client *http.Client) (string, error) {
 func ParseHTML(html string) (*goquery.Document, error) {
 	return goquery.NewDocumentFromReader(strings.NewReader(html))
 }
+
+// RecognizeScheduleFromFile 从图片文件识别课表
+func RecognizeScheduleFromFile(imagePath string) ([]models.Course, error) {
+	fmt.Printf("[识别] 正在读取图片: %s\n", imagePath)
+
+	imageData, err := os.ReadFile(imagePath)
+	if err != nil {
+		return nil, fmt.Errorf("读取图片失败: %v", err)
+	}
+
+	imageBase64 := base64.StdEncoding.EncodeToString(imageData)
+	fmt.Printf("[识别] 图片大小: %d bytes\n", len(imageData))
+
+	return callScheduleAPI(imageBase64)
+}
+
+// RecognizeScheduleFromBytes 从图片数据识别课表
+func RecognizeScheduleFromBytes(imageData []byte) ([]models.Course, error) {
+	fmt.Printf("[识别] 正在处理图片数据, 大小: %d bytes\n", len(imageData))
+
+	imageBase64 := base64.StdEncoding.EncodeToString(imageData)
+
+	return callScheduleAPI(imageBase64)
+}
+
+// RecognizeScheduleFromBase64 从base64数据识别课表
+func RecognizeScheduleFromBase64(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 callScheduleAPI(imageBase64)
+}
+
+// callScheduleAPI 调用API识别课表（带重试机制）
+func callScheduleAPI(imageBase64 string) ([]models.Course, error) {
+	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)
+		}
+
+		courses, err := callScheduleAPISingle(imageBase64)
+		if err == nil {
+			return courses, nil
+		}
+
+		fmt.Printf("[识别] 尝试 %d/%d 失败: %v\n", retry+1, maxRetries, err)
+
+		if !strings.Contains(err.Error(), "504") {
+			return nil, err
+		}
+	}
+
+	return nil, fmt.Errorf("已达到最大重试次数")
+}
+
+// callScheduleAPISingle 单次API调用
+func callScheduleAPISingle(imageBase64 string) ([]models.Course, error) {
+	if config.RecognizerAPIKey == "" {
+		return nil, fmt.Errorf("RECOGNIZER_API_KEY 未配置")
+	}
+
+	falseVal := false
+	zero := 0
+	apiReq := models.APIRequest{
+		Model:          config.RecognizerModel,
+		MaxTokens:      4000,
+		EnableThinking: &falseVal,
+		ThinkingBudget: &zero,
+		Messages: []models.Message{
+			{
+				Role: "user",
+				Content: []models.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: &models.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.RecognizerClient.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 models.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")
+	}
+
+	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)
+
+	var jsonMatch string
+
+	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 {
+		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 {
+			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")
+		}
+	}
+
+	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
+}
+
+func init() {
+	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("captcha模块已初始化")
+}