你çnepiedg
12619aa4ab
- Implemented repairSmokeAIAdviceIndexes to manage the unique index for fa_smoke_ai_advice. - Added unit tests for the new function to ensure correct index recreation and validation. - Updated AutoMigrate to include the new index repair function.
664 lines
20 KiB
Go
664 lines
20 KiB
Go
package service
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import (
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"bytes"
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"context"
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"encoding/json"
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"errors"
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"fmt"
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"io"
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"net/http"
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"sort"
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"strings"
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"time"
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"gorm.io/gorm"
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"wx_service/config"
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usermodel "wx_service/internal/model"
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smokemodel "wx_service/internal/smoke/model"
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)
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var (
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ErrAIAdviceLocked = errors.New("ai advice is locked, vip or ad unlock required")
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ErrAIServiceDisabled = errors.New("ai service is not configured")
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ErrNoSmokeLogs = errors.New("no smoke logs for date")
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)
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const (
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DefaultAdvicePromptVersion = "v2"
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defaultTemperature = 0.7
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)
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const (
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SmokeAIAdviceTypeDaily = "daily_advice"
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SmokeAIAdviceTypeNextSmoke = "next_smoke_time"
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SmokeAIAdviceTypeDailySummary = "daily_summary"
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)
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const DefaultSummaryPromptVersion = "v1"
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type SmokeAIAdviceService struct {
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db *gorm.DB
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cfg config.AIConfig
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client *http.Client
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}
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func NewSmokeAIAdviceService(db *gorm.DB, cfg config.AIConfig) *SmokeAIAdviceService {
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timeout := cfg.RequestTimeout
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if timeout <= 0 {
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timeout = 15 * time.Second
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}
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return &SmokeAIAdviceService{
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db: db,
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cfg: cfg,
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client: &http.Client{
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Timeout: timeout,
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},
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}
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}
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type adviceSnapshotNode struct {
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Time string `json:"time"`
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Num int `json:"num"`
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Level int64 `json:"level"`
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Remark string `json:"remark,omitempty"`
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}
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type adviceSnapshot struct {
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Date string `json:"date"`
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TotalNum int `json:"total_num"`
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Nodes []adviceSnapshotNode `json:"nodes"`
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Profile *adviceUserProfile `json:"profile,omitempty"`
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}
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type adviceUserProfile struct {
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BaselineCigsPerDay int `json:"baseline_cigs_per_day,omitempty"`
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SmokingYears float64 `json:"smoking_years,omitempty"`
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PackPriceCent int `json:"pack_price_cent,omitempty"`
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SmokeMotivations []string `json:"smoke_motivations,omitempty"`
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QuitMotivations []string `json:"quit_motivations,omitempty"`
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WakeUpTime string `json:"wake_up_time,omitempty"`
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SleepTime string `json:"sleep_time,omitempty"`
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AwakeMinutes int `json:"awake_minutes,omitempty"`
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BaselineIntervalMinutes int `json:"baseline_interval_minutes,omitempty"`
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UserSegment string `json:"user_segment,omitempty"`
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OnboardingCompletedAtISO string `json:"onboarding_completed_at,omitempty"`
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}
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func (s *SmokeAIAdviceService) GetOrGenerate(ctx context.Context, user *usermodel.User, adviceDate time.Time, promptVersion string) (*smokemodel.SmokeAIAdvice, error) {
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if promptVersion == "" {
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promptVersion = DefaultAdvicePromptVersion
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}
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cached, err := s.getCached(ctx, int(user.ID), SmokeAIAdviceTypeDaily, adviceDate, promptVersion)
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if err != nil {
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return nil, err
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}
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if cached != nil {
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return cached, nil
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}
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allowed, err := s.isAllowed(ctx, user, adviceDate)
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if err != nil {
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return nil, err
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}
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if !allowed {
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return nil, ErrAIAdviceLocked
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}
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snapshot, snapshotJSON, err := s.buildSnapshot(ctx, int(user.ID), adviceDate)
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if err != nil {
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return nil, err
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}
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adviceText, modelName, tokensIn, tokensOut, err := s.callAI(ctx, int(user.ID), snapshot)
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if err != nil {
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return nil, err
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}
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now := time.Now().Unix()
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createTime := now
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updateTime := now
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record := smokemodel.SmokeAIAdvice{
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UID: int(user.ID),
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Type: SmokeAIAdviceTypeDaily,
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AdviceDate: dateOnly(adviceDate),
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PromptVersion: promptVersion,
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Provider: "openai-compatible",
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Model: modelName,
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InputSnapshot: snapshotJSON,
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Advice: adviceText,
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TokensIn: tokensIn,
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TokensOut: tokensOut,
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CreateTime: &createTime,
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UpdateTime: &updateTime,
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}
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if err := s.db.WithContext(ctx).Create(&record).Error; err != nil {
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return nil, fmt.Errorf("save ai advice: %w", err)
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}
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return &record, nil
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}
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func (s *SmokeAIAdviceService) Unlock(ctx context.Context, user *usermodel.User, unlockDate time.Time) error {
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now := time.Now()
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nowUnix := now.Unix()
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startOfDay := dateOnly(unlockDate)
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var existing smokemodel.SmokeAIAdviceUnlock
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tx := s.db.WithContext(ctx)
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err := tx.Where("uid = ? AND unlock_date = ? AND (deletetime IS NULL OR deletetime = 0)", user.ID, startOfDay.Format("2006-01-02")).
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First(&existing).Error
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if err == nil {
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return tx.Model(&existing).Updates(map[string]interface{}{
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"ad_watched_at": now,
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"updatetime": nowUnix,
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}).Error
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}
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if err != nil && !errors.Is(err, gorm.ErrRecordNotFound) {
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return fmt.Errorf("load unlock record: %w", err)
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}
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createTime := nowUnix
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updateTime := nowUnix
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record := smokemodel.SmokeAIAdviceUnlock{
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UID: int(user.ID),
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UnlockDate: startOfDay,
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AdWatchedAt: now,
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CreateTime: &createTime,
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UpdateTime: &updateTime,
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}
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if err := tx.Create(&record).Error; err != nil {
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return fmt.Errorf("create unlock record: %w", err)
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}
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return nil
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}
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func (s *SmokeAIAdviceService) getCached(ctx context.Context, uid int, adviceType string, adviceDate time.Time, promptVersion string) (*smokemodel.SmokeAIAdvice, error) {
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var record smokemodel.SmokeAIAdvice
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err := s.db.WithContext(ctx).
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Where("uid = ? AND type = ? AND advice_date = ? AND prompt_version = ? AND (deletetime IS NULL OR deletetime = 0)",
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uid, adviceType, dateOnly(adviceDate).Format("2006-01-02"), promptVersion).
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First(&record).Error
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if err == nil {
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return &record, nil
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}
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if errors.Is(err, gorm.ErrRecordNotFound) {
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return nil, nil
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}
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return nil, fmt.Errorf("load cached advice: %w", err)
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}
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// GetCachedByType 公开方法，供 handler 层读取指定类型的 AI 缓存。
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func (s *SmokeAIAdviceService) GetCachedByType(ctx context.Context, uid int, adviceType string, adviceDate time.Time, promptVersion string) (*smokemodel.SmokeAIAdvice, error) {
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return s.getCached(ctx, uid, adviceType, adviceDate, promptVersion)
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}
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func (s *SmokeAIAdviceService) isAllowed(ctx context.Context, user *usermodel.User, adviceDate time.Time) (bool, error) {
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isVIP, err := hasActiveMembership(ctx, s.db, user.MiniProgramID, user.ID, time.Now())
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if err != nil {
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return false, err
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}
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if isVIP {
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return true, nil
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}
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return s.isUnlocked(ctx, int(user.ID), adviceDate)
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}
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func (s *SmokeAIAdviceService) isUnlocked(ctx context.Context, uid int, adviceDate time.Time) (bool, error) {
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startOfDay := dateOnly(adviceDate)
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var unlock smokemodel.SmokeAIAdviceUnlock
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err := s.db.WithContext(ctx).
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Where("uid = ? AND unlock_date = ? AND (deletetime IS NULL OR deletetime = 0)", uid, startOfDay.Format("2006-01-02")).
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First(&unlock).Error
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if err == nil {
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return true, nil
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}
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if errors.Is(err, gorm.ErrRecordNotFound) {
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return false, nil
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}
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return false, fmt.Errorf("check unlock: %w", err)
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}
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func (s *SmokeAIAdviceService) buildSnapshot(ctx context.Context, uid int, adviceDate time.Time) (adviceSnapshot, []byte, error) {
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var logs []smokemodel.SmokeLog
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if err := s.db.WithContext(ctx).
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Where("uid = ? AND smoke_time = ? AND (deletetime IS NULL OR deletetime = 0)", uid, dateOnly(adviceDate).Format("2006-01-02")).
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Find(&logs).Error; err != nil {
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return adviceSnapshot{}, nil, fmt.Errorf("load smoke logs: %w", err)
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}
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if len(logs) == 0 {
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return adviceSnapshot{}, nil, ErrNoSmokeLogs
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}
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profile := loadAdviceUserProfile(ctx, s.db, uid)
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type timedLog struct {
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log smokemodel.SmokeLog
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eventAt time.Time
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hasEvent bool
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}
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timed := make([]timedLog, 0, len(logs))
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total := 0
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for _, l := range logs {
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total += l.Num
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var eventAt time.Time
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has := false
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if l.SmokeAt != nil {
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eventAt = *l.SmokeAt
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has = true
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} else if l.CreateTime != nil && *l.CreateTime > 0 {
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eventAt = time.Unix(*l.CreateTime, 0).In(time.Local)
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has = true
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}
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timed = append(timed, timedLog{log: l, eventAt: eventAt, hasEvent: has})
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}
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// 按时间节点排序（若没有 event time，则排在最后，仍保持稳定）
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sort.SliceStable(timed, func(i, j int) bool {
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a := timed[i]
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b := timed[j]
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if a.hasEvent && b.hasEvent {
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if !a.eventAt.Equal(b.eventAt) {
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return a.eventAt.Before(b.eventAt)
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}
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return a.log.ID < b.log.ID
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}
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if a.hasEvent != b.hasEvent {
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return a.hasEvent
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}
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return a.log.ID < b.log.ID
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})
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nodes := make([]adviceSnapshotNode, 0, len(timed))
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for _, t := range timed {
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timeLabel := ""
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if t.hasEvent {
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timeLabel = t.eventAt.Format("15:04")
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}
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nodes = append(nodes, adviceSnapshotNode{
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Time: timeLabel,
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Num: t.log.Num,
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Level: t.log.Level,
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Remark: t.log.Remark,
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})
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}
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snap := adviceSnapshot{
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Date: dateOnly(adviceDate).Format("2006-01-02"),
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TotalNum: total,
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Nodes: nodes,
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Profile: profile,
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}
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b, err := json.Marshal(snap)
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if err != nil {
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return adviceSnapshot{}, nil, fmt.Errorf("marshal snapshot: %w", err)
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}
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return snap, b, nil
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}
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func loadAdviceUserProfile(ctx context.Context, db *gorm.DB, uid int) *adviceUserProfile {
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var profile smokemodel.SmokeUserProfile
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err := db.WithContext(ctx).
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Where("uid = ? AND deleted_at IS NULL", uid).
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First(&profile).Error
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if err != nil {
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return nil
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}
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awake := defaultAwakeMinutes
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wake := strings.TrimSpace(profile.WakeUpTime)
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sleep := strings.TrimSpace(profile.SleepTime)
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if v, err := awakeMinutesWithFallback(wake, sleep); err == nil {
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awake = v
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} else {
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wake = ""
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sleep = ""
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}
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out := adviceUserProfile{
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BaselineCigsPerDay: profile.BaselineCigsPerDay,
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SmokingYears: profile.SmokingYears,
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PackPriceCent: profile.PackPriceCent,
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SmokeMotivations: []string(profile.SmokeMotivations),
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QuitMotivations: []string(profile.QuitMotivations),
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WakeUpTime: wake,
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SleepTime: sleep,
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AwakeMinutes: awake,
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BaselineIntervalMinutes: baselineIntervalMinutes(awake, profile.BaselineCigsPerDay),
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UserSegment: deriveUserSegment(profile.BaselineCigsPerDay, profile.SmokingYears),
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}
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if profile.OnboardingCompletedAt != nil {
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out.OnboardingCompletedAtISO = profile.OnboardingCompletedAt.In(time.Local).Format(time.RFC3339)
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}
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return &out
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}
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func (s *SmokeAIAdviceService) callAI(ctx context.Context, uid int, snap adviceSnapshot) (string, string, *int, *int, error) {
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if s.cfg.APIKey == "" || s.cfg.Model == "" || s.cfg.BaseURL == "" {
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return "", "", nil, nil, ErrAIServiceDisabled
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}
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requestModel := preferredSmokeAIModel(s.cfg.Model)
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systemPrompt := strings.TrimSpace(`
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你是一名专业的戒烟教练与行为改变顾问。你需要基于用户昨天的抽烟总量与时间节点，给出可执行、可量化的戒烟/控烟建议。
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要求：
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1) 用中文输出；
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2) 先给出对昨天模式的简短分析（1-3条）；
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3) 给出今天的具体行动方案（至少5条，包含替代行为、触发场景应对、时间节点策略）；
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4) 如果 profile 中提供了「作息时间」，建议的执行时间点要避开用户睡眠区间；
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5) 如果 profile 中提供了「抽烟动机/戒烟动力」，你需要在建议中更有针对性地引用它们：
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- 动机：用于解释触发场景与 remark 的关联，给出替代行为；
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- 动力：用于“情感阻断/动摇时的自我提醒”（给 2-3 条可复述的话术）；
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6) 给出一个“如果忍不住想抽”的 60 秒应对流程；
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7) 语气友好、不指责；不提供医疗诊断。
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`)
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userPrompt := fmt.Sprintf("用户昨日数据（JSON）：\n%s", mustJSON(snap))
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appendSmokeAIDebugLog("daily_advice.request", map[string]interface{}{
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"uid": uid,
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"model": requestModel,
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"system_prompt": systemPrompt,
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"user_prompt": userPrompt,
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"input": snap,
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})
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reqBody := chatCompletionRequest{
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Model: requestModel,
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Messages: []chatMessage{
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{Role: "system", Content: systemPrompt},
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{Role: "user", Content: userPrompt},
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},
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Temperature: defaultTemperature,
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}
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payload, err := json.Marshal(reqBody)
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if err != nil {
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return "", "", nil, nil, fmt.Errorf("marshal ai request: %w", err)
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}
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endpoint := strings.TrimRight(s.cfg.BaseURL, "/") + "/chat/completions"
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httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, endpoint, bytes.NewReader(payload))
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if err != nil {
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return "", "", nil, nil, fmt.Errorf("build ai request: %w", err)
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}
|
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httpReq.Header.Set("Content-Type", "application/json")
|
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httpReq.Header.Set("Authorization", "Bearer "+s.cfg.APIKey)
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|
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resp, err := s.client.Do(httpReq)
|
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if err != nil {
|
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return "", "", nil, nil, fmt.Errorf("call ai: %w", err)
|
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}
|
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defer resp.Body.Close()
|
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|
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body, err := io.ReadAll(resp.Body)
|
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if err != nil {
|
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return "", "", nil, nil, fmt.Errorf("read ai response: %w", err)
|
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}
|
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appendSmokeAIDebugLog("daily_advice.response", map[string]interface{}{
|
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"uid": uid,
|
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"model": requestModel,
|
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"http_status": resp.StatusCode,
|
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"response_body": string(body),
|
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})
|
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if resp.StatusCode != http.StatusOK {
|
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return "", "", nil, nil, fmt.Errorf("ai http %d: %s", resp.StatusCode, truncateString(string(body), 512))
|
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}
|
|
|
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var parsed chatCompletionResponse
|
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if err := json.Unmarshal(body, &parsed); err != nil {
|
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return "", "", nil, nil, fmt.Errorf("parse ai response: %w", err)
|
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}
|
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if len(parsed.Choices) == 0 {
|
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return "", "", nil, nil, errors.New("ai response has no choices")
|
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}
|
|
|
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content := strings.TrimSpace(parsed.Choices[0].Message.Content)
|
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if content == "" {
|
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return "", "", nil, nil, errors.New("ai response content is empty")
|
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}
|
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if jsonPart := extractJSONObject(content); jsonPart != "" {
|
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content = jsonPart
|
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}
|
|
|
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modelName := parsed.Model
|
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if modelName == "" {
|
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modelName = requestModel
|
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}
|
|
|
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var tokensIn, tokensOut *int
|
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if parsed.Usage != nil {
|
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tokensIn = &parsed.Usage.PromptTokens
|
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tokensOut = &parsed.Usage.CompletionTokens
|
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}
|
|
|
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return content, modelName, tokensIn, tokensOut, nil
|
|
}
|
|
|
|
type chatMessage struct {
|
|
Role string `json:"role"`
|
|
Content string `json:"content"`
|
|
}
|
|
|
|
type chatCompletionRequest struct {
|
|
Model string `json:"model"`
|
|
Messages []chatMessage `json:"messages"`
|
|
Temperature float64 `json:"temperature,omitempty"`
|
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}
|
|
|
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type chatCompletionResponse struct {
|
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Model string `json:"model"`
|
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Choices []struct {
|
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Message chatMessage `json:"message"`
|
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} `json:"choices"`
|
|
Usage *struct {
|
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PromptTokens int `json:"prompt_tokens"`
|
|
CompletionTokens int `json:"completion_tokens"`
|
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TotalTokens int `json:"total_tokens"`
|
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} `json:"usage"`
|
|
}
|
|
|
|
func dateOnly(t time.Time) time.Time {
|
|
local := t.In(time.Local)
|
|
return time.Date(local.Year(), local.Month(), local.Day(), 0, 0, 0, 0, time.Local)
|
|
}
|
|
|
|
func mustJSON(v any) string {
|
|
b, err := json.Marshal(v)
|
|
if err != nil {
|
|
return "{}"
|
|
}
|
|
return string(b)
|
|
}
|
|
|
|
func truncateString(s string, max int) string {
|
|
if max <= 0 || len(s) <= max {
|
|
return s
|
|
}
|
|
return s[:max]
|
|
}
|
|
|
|
func deriveUserSegment(baselineCigsPerDay int, smokingYears float64) string {
|
|
if baselineCigsPerDay >= 20 || smokingYears >= 10 {
|
|
return "heavy"
|
|
}
|
|
if baselineCigsPerDay >= 10 || smokingYears >= 3 {
|
|
return "moderate"
|
|
}
|
|
return "newbie"
|
|
}
|
|
|
|
// DailySummaryResult 是 AI 今日总结的结构化返回。
|
|
type DailySummaryResult struct {
|
|
Summary string `json:"summary"`
|
|
Highlights []string `json:"highlights"`
|
|
Suggestion string `json:"suggestion"`
|
|
}
|
|
|
|
var ErrNoSmokeLogsToday = errors.New("today has no smoke logs yet")
|
|
|
|
func (s *SmokeAIAdviceService) GetOrGenerateDailySummary(
|
|
ctx context.Context,
|
|
user *usermodel.User,
|
|
summaryDate time.Time,
|
|
promptVersion string,
|
|
) (*smokemodel.SmokeAIAdvice, error) {
|
|
if promptVersion == "" {
|
|
promptVersion = DefaultSummaryPromptVersion
|
|
}
|
|
|
|
cached, err := s.getCached(ctx, int(user.ID), SmokeAIAdviceTypeDailySummary, summaryDate, promptVersion)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if cached != nil {
|
|
return cached, nil
|
|
}
|
|
|
|
allowed, err := s.isAllowed(ctx, user, summaryDate)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if !allowed {
|
|
return nil, ErrAIAdviceLocked
|
|
}
|
|
|
|
snapshot, snapshotJSON, err := s.buildSnapshot(ctx, int(user.ID), summaryDate)
|
|
if err != nil {
|
|
if errors.Is(err, ErrNoSmokeLogs) {
|
|
return nil, ErrNoSmokeLogsToday
|
|
}
|
|
return nil, err
|
|
}
|
|
|
|
adviceText, modelName, tokensIn, tokensOut, err := s.callAIDailySummary(ctx, int(user.ID), snapshot)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
now := time.Now().Unix()
|
|
record := smokemodel.SmokeAIAdvice{
|
|
UID: int(user.ID),
|
|
Type: SmokeAIAdviceTypeDailySummary,
|
|
AdviceDate: dateOnly(summaryDate),
|
|
PromptVersion: promptVersion,
|
|
Provider: "openai-compatible",
|
|
Model: modelName,
|
|
InputSnapshot: snapshotJSON,
|
|
Advice: adviceText,
|
|
TokensIn: tokensIn,
|
|
TokensOut: tokensOut,
|
|
CreateTime: &now,
|
|
UpdateTime: &now,
|
|
}
|
|
|
|
if err := s.db.WithContext(ctx).Create(&record).Error; err != nil {
|
|
return nil, fmt.Errorf("save daily summary: %w", err)
|
|
}
|
|
return &record, nil
|
|
}
|
|
|
|
func (s *SmokeAIAdviceService) callAIDailySummary(ctx context.Context, uid int, snap adviceSnapshot) (string, string, *int, *int, error) {
|
|
if s.cfg.APIKey == "" || s.cfg.Model == "" || s.cfg.BaseURL == "" {
|
|
return "", "", nil, nil, ErrAIServiceDisabled
|
|
}
|
|
requestModel := preferredSmokeAIModel(s.cfg.Model)
|
|
|
|
systemPrompt := strings.TrimSpace(`
|
|
你是一名专业的戒烟教练。请基于用户今天的抽烟数据，生成一份简洁的每日总结。
|
|
要求：
|
|
1) 用中文输出，语气友好、鼓励为主；
|
|
2) 输出严格的 JSON 格式（不要 markdown 代码块），结构如下：
|
|
{
|
|
"summary": "一段 50-100 字的今日总结，概括抽烟模式和整体表现",
|
|
"highlights": ["亮点或关键发现1", "亮点或关键发现2", "亮点或关键发现3"],
|
|
"suggestion": "一条具体的、可执行的明日改进建议（30-60字）"
|
|
}
|
|
3) summary 应包含：今日总量、时间分布特点、烟瘾等级趋势；
|
|
4) highlights 给出 2-4 条关键发现（如高峰时段、触发场景、与昨日对比等）；
|
|
5) suggestion 给出明天可以尝试的一个具体行动；
|
|
6) 如果有 profile 信息，结合用户的戒烟动力和作息来个性化建议。
|
|
`)
|
|
|
|
userPrompt := fmt.Sprintf("用户今日抽烟数据（JSON）：\n%s", mustJSON(snap))
|
|
appendSmokeAIDebugLog("daily_summary.request", map[string]interface{}{
|
|
"uid": uid,
|
|
"model": requestModel,
|
|
"system_prompt": systemPrompt,
|
|
"user_prompt": userPrompt,
|
|
"input": snap,
|
|
})
|
|
|
|
reqBody := chatCompletionRequest{
|
|
Model: requestModel,
|
|
Messages: []chatMessage{
|
|
{Role: "system", Content: systemPrompt},
|
|
{Role: "user", Content: userPrompt},
|
|
},
|
|
Temperature: defaultTemperature,
|
|
}
|
|
|
|
payload, err := json.Marshal(reqBody)
|
|
if err != nil {
|
|
return "", "", nil, nil, fmt.Errorf("marshal ai request: %w", err)
|
|
}
|
|
|
|
endpoint := strings.TrimRight(s.cfg.BaseURL, "/") + "/chat/completions"
|
|
httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, endpoint, bytes.NewReader(payload))
|
|
if err != nil {
|
|
return "", "", nil, nil, fmt.Errorf("build ai request: %w", err)
|
|
}
|
|
httpReq.Header.Set("Content-Type", "application/json")
|
|
httpReq.Header.Set("Authorization", "Bearer "+s.cfg.APIKey)
|
|
|
|
resp, err := s.client.Do(httpReq)
|
|
if err != nil {
|
|
return "", "", nil, nil, fmt.Errorf("call ai: %w", err)
|
|
}
|
|
defer resp.Body.Close()
|
|
|
|
body, err := io.ReadAll(resp.Body)
|
|
if err != nil {
|
|
return "", "", nil, nil, fmt.Errorf("read ai response: %w", err)
|
|
}
|
|
appendSmokeAIDebugLog("daily_summary.response", map[string]interface{}{
|
|
"uid": uid,
|
|
"model": requestModel,
|
|
"http_status": resp.StatusCode,
|
|
"response_body": string(body),
|
|
})
|
|
if resp.StatusCode != http.StatusOK {
|
|
return "", "", nil, nil, fmt.Errorf("ai http %d: %s", resp.StatusCode, truncateString(string(body), 512))
|
|
}
|
|
|
|
var parsed chatCompletionResponse
|
|
if err := json.Unmarshal(body, &parsed); err != nil {
|
|
return "", "", nil, nil, fmt.Errorf("parse ai response: %w", err)
|
|
}
|
|
if len(parsed.Choices) == 0 {
|
|
return "", "", nil, nil, errors.New("ai response has no choices")
|
|
}
|
|
|
|
content := strings.TrimSpace(parsed.Choices[0].Message.Content)
|
|
if content == "" {
|
|
return "", "", nil, nil, errors.New("ai response content is empty")
|
|
}
|
|
|
|
modelName := parsed.Model
|
|
if modelName == "" {
|
|
modelName = requestModel
|
|
}
|
|
|
|
var tokensIn, tokensOut *int
|
|
if parsed.Usage != nil {
|
|
tokensIn = &parsed.Usage.PromptTokens
|
|
tokensOut = &parsed.Usage.CompletionTokens
|
|
}
|
|
|
|
return content, modelName, tokensIn, tokensOut, nil
|
|
}
|