532 lines
18 KiB
Go
532 lines
18 KiB
Go
package service
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import (
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"bytes"
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"context"
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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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"net/http"
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"strings"
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"time"
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"gitea.com/bitwsd/core/common/log"
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"gitea.com/bitwsd/document_ai/config"
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"gitea.com/bitwsd/document_ai/internal/model/formula"
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"gitea.com/bitwsd/document_ai/internal/storage/cache"
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"gitea.com/bitwsd/document_ai/internal/storage/dao"
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"gitea.com/bitwsd/document_ai/pkg/common"
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"gitea.com/bitwsd/document_ai/pkg/constant"
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"gitea.com/bitwsd/document_ai/pkg/httpclient"
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"gitea.com/bitwsd/document_ai/pkg/oss"
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"gitea.com/bitwsd/document_ai/pkg/utils"
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"gorm.io/gorm"
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)
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type RecognitionService struct {
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db *gorm.DB
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queueLimit chan struct{}
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stopChan chan struct{}
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httpClient *httpclient.Client
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}
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func NewRecognitionService() *RecognitionService {
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s := &RecognitionService{
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db: dao.DB,
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queueLimit: make(chan struct{}, config.GlobalConfig.Limit.FormulaRecognition),
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stopChan: make(chan struct{}),
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httpClient: httpclient.NewClient(nil), // 使用默认配置
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}
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// 服务启动时就开始处理队列
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utils.SafeGo(func() {
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lock, err := cache.GetDistributedLock(context.Background())
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if err != nil {
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log.Error(context.Background(), "func", "NewRecognitionService", "msg", "获取分布式锁失败", "error", err)
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return
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}
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if !lock {
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log.Error(context.Background(), "func", "NewRecognitionService", "msg", "获取分布式锁失败")
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return
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}
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s.processFormulaQueue(context.Background())
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})
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return s
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}
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func (s *RecognitionService) AIEnhanceRecognition(ctx context.Context, req *formula.AIEnhanceRecognitionRequest) (*dao.RecognitionTask, error) {
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count, err := cache.GetVLMFormulaCount(ctx, common.GetIPFromContext(ctx))
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if err != nil {
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log.Error(ctx, "func", "AIEnhanceRecognition", "msg", "获取VLM公式识别次数失败", "error", err)
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return nil, common.NewError(common.CodeSystemError, "系统错误", err)
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}
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if count >= constant.VLMFormulaCount {
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return nil, common.NewError(common.CodeForbidden, "今日VLM公式识别次数已达上限,请明天再试!", nil)
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}
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taskDao := dao.NewRecognitionTaskDao()
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task, err := taskDao.GetByTaskNo(dao.DB.WithContext(ctx), req.TaskNo)
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if err != nil {
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log.Error(ctx, "func", "AIEnhanceRecognition", "msg", "获取任务失败", "error", err)
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return nil, common.NewError(common.CodeDBError, "获取任务失败", err)
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}
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if task == nil {
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log.Error(ctx, "func", "AIEnhanceRecognition", "msg", "任务不存在", "task_no", req.TaskNo)
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return nil, common.NewError(common.CodeNotFound, "任务不存在", err)
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}
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if task.Status == dao.TaskStatusProcessing || task.Status == dao.TaskStatusPending {
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log.Error(ctx, "func", "AIEnhanceRecognition", "msg", "任务未完成", "task_no", req.TaskNo)
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return nil, common.NewError(common.CodeInvalidStatus, "任务未完成", err)
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}
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err = taskDao.Update(dao.DB.WithContext(ctx), map[string]interface{}{"id": task.ID}, map[string]interface{}{"status": dao.TaskStatusProcessing})
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if err != nil {
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log.Error(ctx, "func", "AIEnhanceRecognition", "msg", "更新任务状态失败", "error", err)
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return nil, common.NewError(common.CodeDBError, "更新任务状态失败", err)
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}
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utils.SafeGo(func() {
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s.processVLFormula(context.Background(), task.ID)
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_, err := cache.IncrVLMFormulaCount(context.Background(), common.GetIPFromContext(ctx))
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if err != nil {
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log.Error(ctx, "func", "AIEnhanceRecognition", "msg", "增加VLM公式识别次数失败", "error", err)
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}
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})
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return task, nil
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}
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func (s *RecognitionService) CreateRecognitionTask(ctx context.Context, req *formula.CreateFormulaRecognitionRequest) (*dao.RecognitionTask, error) {
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sess := dao.DB.WithContext(ctx)
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taskDao := dao.NewRecognitionTaskDao()
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task := &dao.RecognitionTask{
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TaskUUID: utils.NewUUID(),
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TaskType: dao.TaskType(req.TaskType),
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Status: dao.TaskStatusPending,
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FileURL: req.FileURL,
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FileName: req.FileName,
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FileHash: req.FileHash,
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IP: common.GetIPFromContext(ctx),
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}
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if err := taskDao.Create(sess, task); err != nil {
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log.Error(ctx, "func", "CreateRecognitionTask", "msg", "创建任务失败", "error", err)
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return nil, common.NewError(common.CodeDBError, "创建任务失败", err)
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}
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err := s.handleFormulaRecognition(ctx, task.ID)
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if err != nil {
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log.Error(ctx, "func", "CreateRecognitionTask", "msg", "处理任务失败", "error", err)
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return nil, common.NewError(common.CodeSystemError, "处理任务失败", err)
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}
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return task, nil
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}
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func (s *RecognitionService) GetFormualTask(ctx context.Context, taskNo string) (*formula.GetFormulaTaskResponse, error) {
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taskDao := dao.NewRecognitionTaskDao()
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resultDao := dao.NewRecognitionResultDao()
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sess := dao.DB.WithContext(ctx)
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count, err := cache.GetFormulaTaskCount(ctx)
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if err != nil {
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log.Error(ctx, "func", "GetFormualTask", "msg", "获取任务数量失败", "error", err)
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}
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if count > int64(config.GlobalConfig.Limit.FormulaRecognition) {
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return &formula.GetFormulaTaskResponse{TaskNo: taskNo, Status: int(dao.TaskStatusPending), Count: int(count)}, nil
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}
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task, err := taskDao.GetByTaskNo(sess, taskNo)
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if err != nil {
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if err == gorm.ErrRecordNotFound {
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log.Info(ctx, "func", "GetFormualTask", "msg", "任务不存在", "task_no", taskNo)
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return nil, common.NewError(common.CodeNotFound, "任务不存在", err)
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}
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log.Error(ctx, "func", "GetFormualTask", "msg", "查询任务失败", "error", err, "task_no", taskNo)
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return nil, common.NewError(common.CodeDBError, "查询任务失败", err)
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}
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if task.Status != dao.TaskStatusCompleted {
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return &formula.GetFormulaTaskResponse{TaskNo: taskNo, Status: int(task.Status)}, nil
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}
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taskRet, err := resultDao.GetByTaskID(sess, task.ID)
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if err != nil {
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if err == gorm.ErrRecordNotFound {
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log.Info(ctx, "func", "GetFormualTask", "msg", "任务结果不存在", "task_no", taskNo)
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return nil, common.NewError(common.CodeNotFound, "任务结果不存在", err)
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}
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log.Error(ctx, "func", "GetFormualTask", "msg", "查询任务结果失败", "error", err, "task_no", taskNo)
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return nil, common.NewError(common.CodeDBError, "查询任务结果失败", err)
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}
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latex := taskRet.NewContentCodec().GetContent().(string)
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return &formula.GetFormulaTaskResponse{TaskNo: taskNo, Latex: latex, Status: int(task.Status)}, nil
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}
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func (s *RecognitionService) handleFormulaRecognition(ctx context.Context, taskID int64) error {
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// 简化为只负责将任务加入队列
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_, err := cache.PushFormulaTask(ctx, taskID)
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if err != nil {
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log.Error(ctx, "func", "handleFormulaRecognition", "msg", "增加任务计数失败", "error", err)
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return err
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}
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log.Info(ctx, "func", "handleFormulaRecognition", "msg", "增加任务计数成功", "task_id", taskID)
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return nil
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}
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// Stop 用于优雅关闭服务
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func (s *RecognitionService) Stop() {
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close(s.stopChan)
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}
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func (s *RecognitionService) processVLFormula(ctx context.Context, taskID int64) {
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task, err := dao.NewRecognitionTaskDao().GetTaskByID(dao.DB.WithContext(ctx), taskID)
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if err != nil {
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log.Error(ctx, "func", "processVLFormulaQueue", "msg", "获取任务失败", "error", err)
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return
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}
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if task == nil {
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log.Error(ctx, "func", "processVLFormulaQueue", "msg", "任务不存在", "task_id", taskID)
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return
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}
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ctx = context.WithValue(ctx, utils.RequestIDKey, task.TaskUUID)
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log.Info(ctx, "func", "processVLFormulaQueue", "msg", "获取任务成功", "task_id", taskID)
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// 处理具体任务
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if err := s.processVLFormulaTask(ctx, taskID, task.FileURL); err != nil {
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log.Error(ctx, "func", "processVLFormulaQueue", "msg", "处理任务失败", "error", err)
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return
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}
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log.Info(ctx, "func", "processVLFormulaQueue", "msg", "处理任务成功", "task_id", taskID)
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}
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func (s *RecognitionService) processFormulaTask(ctx context.Context, taskID int64, fileURL string) (err error) {
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// 为整个任务处理添加超时控制
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ctx, cancel := context.WithTimeout(ctx, 45*time.Second)
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defer cancel()
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tx := dao.DB.Begin()
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var (
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taskDao = dao.NewRecognitionTaskDao()
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resultDao = dao.NewRecognitionResultDao()
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)
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isSuccess := false
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defer func() {
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if !isSuccess {
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tx.Rollback()
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status := dao.TaskStatusFailed
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remark := "任务处理失败"
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if ctx.Err() == context.DeadlineExceeded {
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remark = "任务处理超时"
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}
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if err != nil {
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remark = err.Error()
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}
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_ = taskDao.Update(dao.DB.WithContext(context.Background()), // 使用新的context，避免已取消的context影响状态更新
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map[string]interface{}{"id": taskID},
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map[string]interface{}{
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"status": status,
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"completed_at": time.Now(),
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"remark": remark,
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})
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return
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}
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_ = taskDao.Update(tx, map[string]interface{}{"id": taskID}, map[string]interface{}{"status": dao.TaskStatusCompleted, "completed_at": time.Now()})
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tx.Commit()
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}()
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err = taskDao.Update(dao.DB.WithContext(ctx), map[string]interface{}{"id": taskID}, map[string]interface{}{"status": dao.TaskStatusProcessing})
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if err != nil {
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log.Error(ctx, "func", "processFormulaTask", "msg", "更新任务状态失败", "error", err)
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}
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// 下载图片文件
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reader, err := oss.DownloadFile(ctx, fileURL)
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if err != nil {
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log.Error(ctx, "func", "processFormulaTask", "msg", "下载图片文件失败", "error", err)
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return err
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}
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defer reader.Close()
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// 读取图片数据
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imageData, err := io.ReadAll(reader)
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if err != nil {
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log.Error(ctx, "func", "processFormulaTask", "msg", "读取图片数据失败", "error", err)
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return err
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}
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downloadURL, err := oss.GetDownloadURL(ctx, fileURL)
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if err != nil {
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log.Error(ctx, "func", "processFormulaTask", "msg", "获取下载URL失败", "error", err)
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return err
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}
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// 将图片转为base64编码
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base64Image := base64.StdEncoding.EncodeToString(imageData)
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// 创建JSON请求
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requestData := map[string]string{
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"image_base64": base64Image,
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"img_url": downloadURL,
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}
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jsonData, err := json.Marshal(requestData)
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if err != nil {
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log.Error(ctx, "func", "processFormulaTask", "msg", "JSON编码失败", "error", err)
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return err
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}
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// 设置Content-Type头为application/json
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headers := map[string]string{"Content-Type": "application/json", utils.RequestIDHeaderKey: utils.GetRequestIDFromContext(ctx)}
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// 发送请求时会使用带超时的context
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resp, err := s.httpClient.RequestWithRetry(ctx, http.MethodPost, s.getURL(ctx), bytes.NewReader(jsonData), headers)
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if err != nil {
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if ctx.Err() == context.DeadlineExceeded {
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log.Error(ctx, "func", "processFormulaTask", "msg", "请求超时")
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return fmt.Errorf("request timeout")
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}
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log.Error(ctx, "func", "processFormulaTask", "msg", "请求失败", "error", err)
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return err
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}
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defer resp.Body.Close()
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log.Info(ctx, "func", "processFormulaTask", "msg", "请求成功", "resp", resp.Body)
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body := &bytes.Buffer{}
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if _, err = body.ReadFrom(resp.Body); err != nil {
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log.Error(ctx, "func", "processFormulaTask", "msg", "读取响应体失败", "error", err)
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return err
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}
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katex := utils.ToKatex(body.String())
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content := &dao.FormulaRecognitionContent{Latex: katex}
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b, _ := json.Marshal(content)
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// Save recognition result
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result := &dao.RecognitionResult{
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TaskID: taskID,
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TaskType: dao.TaskTypeFormula,
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Content: b,
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}
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if err := resultDao.Create(tx, *result); err != nil {
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log.Error(ctx, "func", "processFormulaTask", "msg", "保存任务结果失败", "error", err)
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return err
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}
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isSuccess = true
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return nil
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}
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func (s *RecognitionService) processVLFormulaTask(ctx context.Context, taskID int64, fileURL string) error {
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isSuccess := false
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defer func() {
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if !isSuccess {
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err := dao.NewRecognitionTaskDao().Update(dao.DB.WithContext(ctx), map[string]interface{}{"id": taskID}, map[string]interface{}{"status": dao.TaskStatusFailed})
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if err != nil {
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log.Error(ctx, "func", "processVLFormulaTask", "msg", "更新任务状态失败", "error", err)
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}
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return
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}
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err := dao.NewRecognitionTaskDao().Update(dao.DB.WithContext(ctx), map[string]interface{}{"id": taskID}, map[string]interface{}{"status": dao.TaskStatusCompleted})
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if err != nil {
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log.Error(ctx, "func", "processVLFormulaTask", "msg", "更新任务状态失败", "error", err)
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}
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}()
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reader, err := oss.DownloadFile(ctx, fileURL)
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if err != nil {
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log.Error(ctx, "func", "processVLFormulaTask", "msg", "获取签名URL失败", "error", err)
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return err
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}
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defer reader.Close()
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imageData, err := io.ReadAll(reader)
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if err != nil {
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log.Error(ctx, "func", "processVLFormulaTask", "msg", "读取图片数据失败", "error", err)
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return err
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}
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prompt := `
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Please perform OCR on the image and output only LaTeX code.
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Important instructions:
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* "The image contains mathematical formulas, no plain text."
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* "Preserve all layout, symbols, subscripts, summations, parentheses, etc., exactly as shown."
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* "Use \[ ... \] or align environments to represent multiline math expressions."
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* "Use adaptive symbols such as \left and \right where applicable."
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* "Do not include any extra commentary, template answers, or unrelated equations."
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* "Only output valid LaTeX code based on the actual content of the image, and not change the original mathematical expression."
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* "The output result must be can render by better-react-mathjax."
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`
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base64Image := base64.StdEncoding.EncodeToString(imageData)
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requestBody := formula.VLFormulaRequest{
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Model: "Qwen/Qwen2.5-VL-32B-Instruct",
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Stream: false,
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MaxTokens: 512,
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Temperature: 0.1,
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TopP: 0.1,
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TopK: 50,
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FrequencyPenalty: 0.2,
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N: 1,
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Messages: []formula.Message{
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{
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Role: "user",
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Content: []formula.Content{
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{
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Type: "text",
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Text: prompt,
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},
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{
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Type: "image_url",
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ImageURL: formula.Image{
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Detail: "auto",
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URL: "data:image/jpeg;base64," + base64Image,
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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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// 将请求体转换为JSON
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jsonData, err := json.Marshal(requestBody)
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if err != nil {
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log.Error(ctx, "func", "processVLFormulaTask", "msg", "JSON编码失败", "error", err)
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return err
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}
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headers := map[string]string{
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"Content-Type": "application/json",
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"Authorization": utils.SiliconFlowToken,
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}
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resp, err := s.httpClient.RequestWithRetry(ctx, http.MethodPost, "https://api.siliconflow.cn/v1/chat/completions", bytes.NewReader(jsonData), headers)
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if err != nil {
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log.Error(ctx, "func", "processVLFormulaTask", "msg", "请求VL服务失败", "error", err)
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return err
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}
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defer resp.Body.Close()
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// 解析响应
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var response formula.VLFormulaResponse
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if err := json.NewDecoder(resp.Body).Decode(&response); err != nil {
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log.Error(ctx, "func", "processVLFormulaTask", "msg", "解析响应失败", "error", err)
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return err
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}
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// 提取LaTeX代码
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var latex string
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if len(response.Choices) > 0 {
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if response.Choices[0].Message.Content != "" {
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latex = strings.ReplaceAll(response.Choices[0].Message.Content, "\n", "")
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latex = strings.ReplaceAll(latex, "```latex", "")
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latex = strings.ReplaceAll(latex, "```", "")
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// 规范化LaTeX代码，移除不必要的空格
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latex = strings.ReplaceAll(latex, " = ", "=")
|
||
latex = strings.ReplaceAll(latex, "\\left[ ", "\\left[")
|
||
latex = strings.TrimPrefix(latex, "\\[")
|
||
latex = strings.TrimSuffix(latex, "\\]")
|
||
}
|
||
}
|
||
|
||
resultDao := dao.NewRecognitionResultDao()
|
||
var formulaRes *dao.FormulaRecognitionContent
|
||
result, err := resultDao.GetByTaskID(dao.DB.WithContext(ctx), taskID)
|
||
if err != nil {
|
||
log.Error(ctx, "func", "processVLFormulaTask", "msg", "获取任务结果失败", "error", err)
|
||
return err
|
||
}
|
||
if result == nil {
|
||
formulaRes = &dao.FormulaRecognitionContent{EnhanceLatex: latex}
|
||
b, err := formulaRes.Encode()
|
||
if err != nil {
|
||
log.Error(ctx, "func", "processVLFormulaTask", "msg", "编码任务结果失败", "error", err)
|
||
return err
|
||
}
|
||
err = resultDao.Create(dao.DB.WithContext(ctx), dao.RecognitionResult{TaskID: taskID, TaskType: dao.TaskTypeFormula, Content: b})
|
||
if err != nil {
|
||
log.Error(ctx, "func", "processVLFormulaTask", "msg", "创建任务结果失败", "error", err)
|
||
return err
|
||
}
|
||
} else {
|
||
formulaRes = result.NewContentCodec().(*dao.FormulaRecognitionContent)
|
||
err = formulaRes.Decode()
|
||
if err != nil {
|
||
log.Error(ctx, "func", "processVLFormulaTask", "msg", "解码任务结果失败", "error", err)
|
||
return err
|
||
}
|
||
formulaRes.EnhanceLatex = latex
|
||
b, err := formulaRes.Encode()
|
||
if err != nil {
|
||
log.Error(ctx, "func", "processVLFormulaTask", "msg", "编码任务结果失败", "error", err)
|
||
return err
|
||
}
|
||
|
||
err = resultDao.Update(dao.DB.WithContext(ctx), result.ID, map[string]interface{}{"content": b})
|
||
if err != nil {
|
||
log.Error(ctx, "func", "processVLFormulaTask", "msg", "更新任务结果失败", "error", err)
|
||
return err
|
||
}
|
||
}
|
||
|
||
isSuccess = true
|
||
return nil
|
||
}
|
||
|
||
func (s *RecognitionService) processFormulaQueue(ctx context.Context) {
|
||
for {
|
||
select {
|
||
case <-s.stopChan:
|
||
return
|
||
default:
|
||
s.processOneTask(ctx)
|
||
}
|
||
}
|
||
}
|
||
|
||
func (s *RecognitionService) processOneTask(ctx context.Context) {
|
||
// 限制队列数量
|
||
s.queueLimit <- struct{}{}
|
||
defer func() { <-s.queueLimit }()
|
||
|
||
taskID, err := cache.PopFormulaTask(ctx)
|
||
if err != nil {
|
||
log.Error(ctx, "func", "processFormulaQueue", "msg", "获取任务失败", "error", err)
|
||
return
|
||
}
|
||
|
||
task, err := dao.NewRecognitionTaskDao().GetTaskByID(dao.DB.WithContext(ctx), taskID)
|
||
if err != nil {
|
||
log.Error(ctx, "func", "processFormulaQueue", "msg", "获取任务失败", "error", err)
|
||
return
|
||
}
|
||
if task == nil {
|
||
log.Error(ctx, "func", "processFormulaQueue", "msg", "任务不存在", "task_id", taskID)
|
||
return
|
||
}
|
||
|
||
ctx = context.WithValue(ctx, utils.RequestIDKey, task.TaskUUID)
|
||
log.Info(ctx, "func", "processFormulaQueue", "msg", "获取任务成功", "task_id", taskID)
|
||
|
||
// 处理具体任务
|
||
if err := s.processFormulaTask(ctx, taskID, task.FileURL); err != nil {
|
||
log.Error(ctx, "func", "processFormulaQueue", "msg", "处理任务失败", "error", err)
|
||
return
|
||
}
|
||
|
||
log.Info(ctx, "func", "processFormulaQueue", "msg", "处理任务成功", "task_id", taskID)
|
||
}
|
||
|
||
func (s *RecognitionService) getURL(ctx context.Context) string {
|
||
return "http://cloud.srcstar.com:8045/formula/predict"
|
||
}
|