veza/veza-backend-api/internal/services/advanced_analytics_service.go

package services

import (
	"context"
	"fmt"
	"time"

	"github.com/google/uuid"
	"go.uber.org/zap"
	"gorm.io/gorm"
)

// AdvancedAnalyticsService provides advanced analytics for creators (F396-F399)
// All data is private to the creator — never exposed publicly.
type AdvancedAnalyticsService struct {
	db     *gorm.DB
	logger *zap.Logger
}

// NewAdvancedAnalyticsService creates a new advanced analytics service
func NewAdvancedAnalyticsService(db *gorm.DB, logger *zap.Logger) *AdvancedAnalyticsService {
	if logger == nil {
		logger = zap.NewNop()
	}
	return &AdvancedAnalyticsService{db: db, logger: logger}
}

// --- F396: Heatmap d'écoute ---

// TrackSegmentStat represents a segment of a track with aggregated listening data
type TrackSegmentStat struct {
	SegmentIndex   int     `json:"segment_index"`
	SegmentStartMs int64   `json:"segment_start_ms"`
	SegmentEndMs   int64   `json:"segment_end_ms"`
	ListenCount    int64   `json:"listen_count"`
	DropOffCount   int64   `json:"drop_off_count"`
	ReplayCount    int64   `json:"replay_count"`
	Intensity      float64 `json:"intensity"` // normalized 0-1
}

// TrackHeatmap represents the full heatmap for a track
type TrackHeatmap struct {
	TrackID           string             `json:"track_id"`
	TotalSegments     int                `json:"total_segments"`
	SegmentDurationMs int64              `json:"segment_duration_ms"`
	Segments          []TrackSegmentStat `json:"segments"`
	MaxListens        int64              `json:"max_listens"`
	AvgDropOff        float64            `json:"avg_drop_off"`
}

// GetTrackHeatmap returns aggregated heatmap data for a track (F396)
func (s *AdvancedAnalyticsService) GetTrackHeatmap(ctx context.Context, creatorID uuid.UUID, trackID uuid.UUID, startDate, endDate time.Time) (*TrackHeatmap, error) {
	// Verify the track belongs to the creator
	var trackCount int64
	if err := s.db.WithContext(ctx).Table("tracks").
		Where("id = ? AND creator_id = ? AND deleted_at IS NULL", trackID, creatorID).
		Count(&trackCount).Error; err != nil {
		return nil, fmt.Errorf("failed to verify track ownership: %w", err)
	}
	if trackCount == 0 {
		return nil, fmt.Errorf("track not found or not owned by creator")
	}

	var rows []struct {
		SegmentIndex   int   `gorm:"column:segment_index"`
		SegmentStartMs int64 `gorm:"column:segment_start_ms"`
		SegmentEndMs   int64 `gorm:"column:segment_end_ms"`
		ListenCount    int64 `gorm:"column:listen_count"`
		DropOffCount   int64 `gorm:"column:drop_off_count"`
		ReplayCount    int64 `gorm:"column:replay_count"`
	}

	if err := s.db.WithContext(ctx).Raw(`
		SELECT segment_index, segment_start_ms, segment_end_ms,
			   SUM(listen_count) AS listen_count,
			   SUM(drop_off_count) AS drop_off_count,
			   SUM(replay_count) AS replay_count
		FROM track_segment_stats
		WHERE track_id = ? AND date >= ? AND date <= ?
		GROUP BY segment_index, segment_start_ms, segment_end_ms
		ORDER BY segment_index ASC
	`, trackID, startDate.Format("2006-01-02"), endDate.Format("2006-01-02")).Scan(&rows).Error; err != nil {
		return nil, fmt.Errorf("failed to get heatmap data: %w", err)
	}

	// Find max listen count for normalization
	var maxListens int64
	for _, r := range rows {
		if r.ListenCount > maxListens {
			maxListens = r.ListenCount
		}
	}

	var totalDropOff int64
	segments := make([]TrackSegmentStat, len(rows))
	for i, r := range rows {
		intensity := float64(0)
		if maxListens > 0 {
			intensity = float64(r.ListenCount) / float64(maxListens)
		}
		segments[i] = TrackSegmentStat{
			SegmentIndex:   r.SegmentIndex,
			SegmentStartMs: r.SegmentStartMs,
			SegmentEndMs:   r.SegmentEndMs,
			ListenCount:    r.ListenCount,
			DropOffCount:   r.DropOffCount,
			ReplayCount:    r.ReplayCount,
			Intensity:      intensity,
		}
		totalDropOff += r.DropOffCount
	}

	avgDropOff := float64(0)
	if len(segments) > 0 {
		avgDropOff = float64(totalDropOff) / float64(len(segments))
	}

	segmentDuration := int64(0)
	if len(rows) > 0 {
		segmentDuration = rows[0].SegmentEndMs - rows[0].SegmentStartMs
	}

	return &TrackHeatmap{
		TrackID:           trackID.String(),
		TotalSegments:     len(segments),
		SegmentDurationMs: segmentDuration,
		Segments:          segments,
		MaxListens:        maxListens,
		AvgDropOff:        avgDropOff,
	}, nil
}

// --- F397: Comparaison de périodes ---

// PeriodComparison holds the comparison between two time periods
type PeriodComparison struct {
	CurrentPeriod  PeriodStats   `json:"current_period"`
	PreviousPeriod PeriodStats   `json:"previous_period"`
	Changes        PeriodChanges `json:"changes"`
}

// PeriodStats holds stats for a single period
type PeriodStats struct {
	StartDate       string  `json:"start_date"`
	EndDate         string  `json:"end_date"`
	TotalPlays      int64   `json:"total_plays"`
	UniqueListeners int64   `json:"unique_listeners"`
	CompleteListens int64   `json:"complete_listens"`
	TotalPlayTime   int64   `json:"total_play_time"`
	AvgCompletion   float64 `json:"avg_completion"`
	TotalRevenue    float64 `json:"total_revenue"`
	NewFollowers    int64   `json:"new_followers"`
}

// PeriodChanges holds the percentage changes between periods
type PeriodChanges struct {
	PlaysChange      float64 `json:"plays_change"`      // percentage
	ListenersChange  float64 `json:"listeners_change"`  // percentage
	CompletionChange float64 `json:"completion_change"` // percentage
	RevenueChange    float64 `json:"revenue_change"`    // percentage
	FollowersChange  float64 `json:"followers_change"`  // percentage
	PlayTimeChange   float64 `json:"play_time_change"`  // percentage
}

// ComparePeriods compares analytics between two time periods (F397)
func (s *AdvancedAnalyticsService) ComparePeriods(ctx context.Context, creatorID uuid.UUID, currentStart, currentEnd, previousStart, previousEnd time.Time) (*PeriodComparison, error) {
	current, err := s.getPeriodStats(ctx, creatorID, currentStart, currentEnd)
	if err != nil {
		return nil, fmt.Errorf("failed to get current period: %w", err)
	}
	current.StartDate = currentStart.Format(time.RFC3339)
	current.EndDate = currentEnd.Format(time.RFC3339)

	previous, err := s.getPeriodStats(ctx, creatorID, previousStart, previousEnd)
	if err != nil {
		return nil, fmt.Errorf("failed to get previous period: %w", err)
	}
	previous.StartDate = previousStart.Format(time.RFC3339)
	previous.EndDate = previousEnd.Format(time.RFC3339)

	changes := PeriodChanges{
		PlaysChange:      calcPercentChange(previous.TotalPlays, current.TotalPlays),
		ListenersChange:  calcPercentChange(previous.UniqueListeners, current.UniqueListeners),
		CompletionChange: calcFloatPercentChange(previous.AvgCompletion, current.AvgCompletion),
		RevenueChange:    calcFloatPercentChange(previous.TotalRevenue, current.TotalRevenue),
		FollowersChange:  calcPercentChange(previous.NewFollowers, current.NewFollowers),
		PlayTimeChange:   calcPercentChange(previous.TotalPlayTime, current.TotalPlayTime),
	}

	return &PeriodComparison{
		CurrentPeriod:  *current,
		PreviousPeriod: *previous,
		Changes:        changes,
	}, nil
}

func (s *AdvancedAnalyticsService) getPeriodStats(ctx context.Context, creatorID uuid.UUID, startDate, endDate time.Time) (*PeriodStats, error) {
	stats := &PeriodStats{}

	var playbackAgg struct {
		TotalPlays      int64   `gorm:"column:total_plays"`
		UniqueListeners int64   `gorm:"column:unique_listeners"`
		CompleteListens int64   `gorm:"column:complete_listens"`
		TotalPlayTime   int64   `gorm:"column:total_play_time"`
		AvgCompletion   float64 `gorm:"column:avg_completion"`
	}
	if err := s.db.WithContext(ctx).Raw(`
		SELECT
			COUNT(pa.id) AS total_plays,
			COUNT(DISTINCT pa.user_id) AS unique_listeners,
			COUNT(CASE WHEN pa.completion_rate >= 90 THEN 1 END) AS complete_listens,
			COALESCE(SUM(pa.play_time), 0) AS total_play_time,
			COALESCE(AVG(pa.completion_rate), 0) AS avg_completion
		FROM playback_analytics pa
		JOIN tracks t ON t.id = pa.track_id
		WHERE t.creator_id = ? AND pa.started_at >= ? AND pa.started_at <= ?
	`, creatorID, startDate, endDate).Scan(&playbackAgg).Error; err != nil {
		return nil, fmt.Errorf("failed to get playback stats: %w", err)
	}

	stats.TotalPlays = playbackAgg.TotalPlays
	stats.UniqueListeners = playbackAgg.UniqueListeners
	stats.CompleteListens = playbackAgg.CompleteListens
	stats.TotalPlayTime = playbackAgg.TotalPlayTime
	stats.AvgCompletion = playbackAgg.AvgCompletion

	// Revenue
	if err := s.db.WithContext(ctx).Raw(`
		SELECT COALESCE(SUM(oi.price), 0)
		FROM order_items oi
		JOIN orders o ON o.id = oi.order_id
		JOIN products p ON p.id = oi.product_id
		WHERE p.seller_id = ? AND o.status IN ('completed', 'paid')
		  AND o.created_at >= ? AND o.created_at <= ?
	`, creatorID, startDate, endDate).Scan(&stats.TotalRevenue).Error; err != nil {
		s.logger.Warn("Failed to get revenue", zap.Error(err))
	}

	// New followers
	if err := s.db.WithContext(ctx).Raw(`
		SELECT COUNT(*) FROM follows
		WHERE followed_id = ? AND created_at >= ? AND created_at <= ?
	`, creatorID, startDate, endDate).Scan(&stats.NewFollowers).Error; err != nil {
		s.logger.Warn("Failed to get new followers", zap.Error(err))
	}

	return stats, nil
}

func calcPercentChange(previous, current int64) float64 {
	if previous == 0 {
		if current > 0 {
			return 100.0
		}
		return 0.0
	}
	return float64(current-previous) / float64(previous) * 100.0
}

func calcFloatPercentChange(previous, current float64) float64 {
	if previous == 0 {
		if current > 0 {
			return 100.0
		}
		return 0.0
	}
	return (current - previous) / previous * 100.0
}

// --- F398: Analytics Marketplace ---

// MarketplaceAnalytics holds marketplace analytics data for a creator
type MarketplaceAnalytics struct {
	TotalViews         int64                `json:"total_views"`
	TotalSales         int64                `json:"total_sales"`
	TotalRevenue       float64              `json:"total_revenue"`
	OverallConversion  float64              `json:"overall_conversion"` // percentage
	PlatformCommission float64              `json:"platform_commission"`
	NetRevenue         float64              `json:"net_revenue"`
	Products           []ProductAnalytics   `json:"products"`
	RevenueTimeline    []MarketplaceRevenue `json:"revenue_timeline"`
}

// ProductAnalytics holds analytics for a single product
type ProductAnalytics struct {
	ProductID      string  `json:"product_id"`
	Name           string  `json:"name"`
	ProductType    string  `json:"product_type"`
	Views          int64   `json:"views"`
	Sales          int64   `json:"sales"`
	Revenue        float64 `json:"revenue"`
	ConversionRate float64 `json:"conversion_rate"` // percentage
}

// MarketplaceRevenue holds revenue data for a time period
type MarketplaceRevenue struct {
	Date    string  `json:"date"`
	Revenue float64 `json:"revenue"`
	Sales   int64   `json:"sales"`
	Views   int64   `json:"views"`
}

// GetMarketplaceAnalytics returns marketplace analytics for the creator (F398)
func (s *AdvancedAnalyticsService) GetMarketplaceAnalytics(ctx context.Context, creatorID uuid.UUID, startDate, endDate time.Time) (*MarketplaceAnalytics, error) {
	analytics := &MarketplaceAnalytics{
		Products:        []ProductAnalytics{},
		RevenueTimeline: []MarketplaceRevenue{},
	}

	// Per-product views, sales, and conversion
	var productRows []struct {
		ProductID   string  `gorm:"column:product_id"`
		Name        string  `gorm:"column:name"`
		ProductType string  `gorm:"column:product_type"`
		Views       int64   `gorm:"column:views"`
		Sales       int64   `gorm:"column:sales"`
		Revenue     float64 `gorm:"column:revenue"`
	}

	if err := s.db.WithContext(ctx).Raw(`
		SELECT CAST(p.id AS TEXT) AS product_id,
			   p.name,
			   COALESCE(p.product_type, 'track') AS product_type,
			   COALESCE(pv.view_count, 0) AS views,
			   COALESCE(oi.sale_count, 0) AS sales,
			   COALESCE(oi.revenue, 0) AS revenue
		FROM products p
		LEFT JOIN (
			SELECT product_id, COUNT(*) AS view_count
			FROM product_views
			WHERE created_at >= ? AND created_at <= ?
			GROUP BY product_id
		) pv ON pv.product_id = p.id
		LEFT JOIN (
			SELECT oi.product_id, COUNT(oi.id) AS sale_count, SUM(oi.price) AS revenue
			FROM order_items oi
			JOIN orders o ON o.id = oi.order_id
			WHERE o.status IN ('completed', 'paid')
			  AND o.created_at >= ? AND o.created_at <= ?
			GROUP BY oi.product_id
		) oi ON oi.product_id = p.id
		WHERE p.seller_id = ?
		ORDER BY COALESCE(oi.revenue, 0) DESC
	`, startDate, endDate, startDate, endDate, creatorID).Scan(&productRows).Error; err != nil {
		return nil, fmt.Errorf("failed to get product analytics: %w", err)
	}

	var totalViews, totalSales int64
	var totalRevenue float64

	for _, r := range productRows {
		convRate := float64(0)
		if r.Views > 0 {
			convRate = float64(r.Sales) / float64(r.Views) * 100.0
		}
		analytics.Products = append(analytics.Products, ProductAnalytics{
			ProductID:      r.ProductID,
			Name:           r.Name,
			ProductType:    r.ProductType,
			Views:          r.Views,
			Sales:          r.Sales,
			Revenue:        r.Revenue,
			ConversionRate: convRate,
		})
		totalViews += r.Views
		totalSales += r.Sales
		totalRevenue += r.Revenue
	}

	analytics.TotalViews = totalViews
	analytics.TotalSales = totalSales
	analytics.TotalRevenue = totalRevenue
	if totalViews > 0 {
		analytics.OverallConversion = float64(totalSales) / float64(totalViews) * 100.0
	}

	// Platform commission (15% as per Veza business model)
	analytics.PlatformCommission = totalRevenue * 0.15
	analytics.NetRevenue = totalRevenue - analytics.PlatformCommission

	// Revenue timeline
	var timelineRows []struct {
		Date    string  `gorm:"column:date"`
		Revenue float64 `gorm:"column:revenue"`
		Sales   int64   `gorm:"column:sales"`
		Views   int64   `gorm:"column:views"`
	}

	if err := s.db.WithContext(ctx).Raw(`
		WITH daily_sales AS (
			SELECT DATE(o.created_at) AS date,
				   COALESCE(SUM(oi.price), 0) AS revenue,
				   COUNT(oi.id) AS sales
			FROM order_items oi
			JOIN orders o ON o.id = oi.order_id
			JOIN products p ON p.id = oi.product_id
			WHERE p.seller_id = ? AND o.status IN ('completed', 'paid')
			  AND o.created_at >= ? AND o.created_at <= ?
			GROUP BY DATE(o.created_at)
		),
		daily_views AS (
			SELECT DATE(pv.created_at) AS date, COUNT(*) AS views
			FROM product_views pv
			JOIN products p ON p.id = pv.product_id
			WHERE p.seller_id = ? AND pv.created_at >= ? AND pv.created_at <= ?
			GROUP BY DATE(pv.created_at)
		)
		SELECT COALESCE(ds.date, dv.date) AS date,
			   COALESCE(ds.revenue, 0) AS revenue,
			   COALESCE(ds.sales, 0) AS sales,
			   COALESCE(dv.views, 0) AS views
		FROM daily_sales ds
		FULL OUTER JOIN daily_views dv ON ds.date = dv.date
		ORDER BY date ASC
	`, creatorID, startDate, endDate, creatorID, startDate, endDate).Scan(&timelineRows).Error; err != nil {
		s.logger.Warn("Failed to get revenue timeline", zap.Error(err))
	}

	for _, r := range timelineRows {
		analytics.RevenueTimeline = append(analytics.RevenueTimeline, MarketplaceRevenue{
			Date:    r.Date,
			Revenue: r.Revenue,
			Sales:   r.Sales,
			Views:   r.Views,
		})
	}

	return analytics, nil
}

// --- F399: Alertes métriques ---

// MetricAlert represents a metric alert configuration and status
type MetricAlert struct {
	ID          string     `json:"id"`
	MetricType  string     `json:"metric_type"`
	Threshold   int64      `json:"threshold"`
	IsTriggered bool       `json:"is_triggered"`
	TriggeredAt *time.Time `json:"triggered_at,omitempty"`
	CreatedAt   time.Time  `json:"created_at"`
}

// MetricAlertPreference represents the user's preference for a metric type
type MetricAlertPreference struct {
	MetricType string `json:"metric_type"`
	Enabled    bool   `json:"enabled"`
}

// MetricAlertSummary holds all alerts and preferences for a user
type MetricAlertSummary struct {
	Preferences []MetricAlertPreference `json:"preferences"`
	Alerts      []MetricAlert           `json:"alerts"`
	Pending     []MetricAlert           `json:"pending"` // triggered but not yet seen
}

// GetMetricAlerts returns all metric alerts for a user (F399)
func (s *AdvancedAnalyticsService) GetMetricAlerts(ctx context.Context, userID uuid.UUID) (*MetricAlertSummary, error) {
	summary := &MetricAlertSummary{
		Preferences: []MetricAlertPreference{},
		Alerts:      []MetricAlert{},
		Pending:     []MetricAlert{},
	}

	// Get preferences
	var prefRows []struct {
		MetricType string `gorm:"column:metric_type"`
		Enabled    bool   `gorm:"column:enabled"`
	}
	if err := s.db.WithContext(ctx).Raw(`
		SELECT metric_type, enabled FROM metric_alert_preferences
		WHERE user_id = ?
		ORDER BY metric_type
	`, userID).Scan(&prefRows).Error; err != nil {
		s.logger.Warn("Failed to get alert preferences", zap.Error(err))
	}

	// Provide defaults if no preferences exist
	if len(prefRows) == 0 {
		for _, mt := range []string{"plays", "followers", "sales", "listeners"} {
			summary.Preferences = append(summary.Preferences, MetricAlertPreference{
				MetricType: mt,
				Enabled:    true, // opt-in by default but user controls
			})
		}
	} else {
		for _, r := range prefRows {
			summary.Preferences = append(summary.Preferences, MetricAlertPreference{
				MetricType: r.MetricType,
				Enabled:    r.Enabled,
			})
		}
	}

	// Get alerts
	var alertRows []struct {
		ID          uuid.UUID  `gorm:"column:id"`
		MetricType  string     `gorm:"column:metric_type"`
		Threshold   int64      `gorm:"column:threshold"`
		IsTriggered bool       `gorm:"column:is_triggered"`
		TriggeredAt *time.Time `gorm:"column:triggered_at"`
		CreatedAt   time.Time  `gorm:"column:created_at"`
	}
	if err := s.db.WithContext(ctx).Raw(`
		SELECT id, metric_type, threshold, is_triggered, triggered_at, created_at
		FROM metric_alerts
		WHERE user_id = ?
		ORDER BY metric_type, threshold
	`, userID).Scan(&alertRows).Error; err != nil {
		return nil, fmt.Errorf("failed to get alerts: %w", err)
	}

	for _, r := range alertRows {
		alert := MetricAlert{
			ID:          r.ID.String(),
			MetricType:  r.MetricType,
			Threshold:   r.Threshold,
			IsTriggered: r.IsTriggered,
			TriggeredAt: r.TriggeredAt,
			CreatedAt:   r.CreatedAt,
		}
		summary.Alerts = append(summary.Alerts, alert)
		if r.IsTriggered {
			summary.Pending = append(summary.Pending, alert)
		}
	}

	return summary, nil
}

// UpdateAlertPreference updates the preference for a metric type (F399)
func (s *AdvancedAnalyticsService) UpdateAlertPreference(ctx context.Context, userID uuid.UUID, metricType string, enabled bool) error {
	validTypes := map[string]bool{"plays": true, "followers": true, "sales": true, "listeners": true}
	if !validTypes[metricType] {
		return fmt.Errorf("invalid metric type: %s", metricType)
	}

	return s.db.WithContext(ctx).Exec(`
		INSERT INTO metric_alert_preferences (user_id, metric_type, enabled)
		VALUES (?, ?, ?)
		ON CONFLICT (user_id, metric_type)
		DO UPDATE SET enabled = EXCLUDED.enabled, updated_at = NOW()
	`, userID, metricType, enabled).Error
}

// CreateAlertThreshold creates a new alert threshold for a metric (F399)
func (s *AdvancedAnalyticsService) CreateAlertThreshold(ctx context.Context, userID uuid.UUID, metricType string, threshold int64) error {
	validTypes := map[string]bool{"plays": true, "followers": true, "sales": true, "listeners": true}
	if !validTypes[metricType] {
		return fmt.Errorf("invalid metric type: %s", metricType)
	}

	if threshold <= 0 {
		return fmt.Errorf("threshold must be positive")
	}

	return s.db.WithContext(ctx).Exec(`
		INSERT INTO metric_alerts (user_id, metric_type, threshold)
		VALUES (?, ?, ?)
		ON CONFLICT (user_id, metric_type, threshold) DO NOTHING
	`, userID, metricType, threshold).Error
}

// DeleteAlertThreshold removes an alert threshold (F399)
func (s *AdvancedAnalyticsService) DeleteAlertThreshold(ctx context.Context, userID uuid.UUID, alertID uuid.UUID) error {
	result := s.db.WithContext(ctx).Exec(`
		DELETE FROM metric_alerts WHERE id = ? AND user_id = ?
	`, alertID, userID)
	if result.Error != nil {
		return fmt.Errorf("failed to delete alert: %w", result.Error)
	}
	if result.RowsAffected == 0 {
		return fmt.Errorf("alert not found")
	}
	return nil
}

// CheckAndTriggerAlerts checks current metrics against thresholds and triggers alerts (F399)
// This should be called periodically (e.g., by a cron job)
func (s *AdvancedAnalyticsService) CheckAndTriggerAlerts(ctx context.Context, userID uuid.UUID) ([]MetricAlert, error) {
	var triggered []MetricAlert

	// Get untriggered alerts for enabled metric types
	var alerts []struct {
		ID         uuid.UUID `gorm:"column:id"`
		MetricType string    `gorm:"column:metric_type"`
		Threshold  int64     `gorm:"column:threshold"`
	}

	if err := s.db.WithContext(ctx).Raw(`
		SELECT ma.id, ma.metric_type, ma.threshold
		FROM metric_alerts ma
		JOIN metric_alert_preferences map ON map.user_id = ma.user_id AND map.metric_type = ma.metric_type
		WHERE ma.user_id = ? AND ma.is_triggered = FALSE AND map.enabled = TRUE
	`, userID).Scan(&alerts).Error; err != nil {
		return nil, fmt.Errorf("failed to get pending alerts: %w", err)
	}

	for _, alert := range alerts {
		var currentValue int64
		switch alert.MetricType {
		case "plays":
			s.db.WithContext(ctx).Raw(`
				SELECT COUNT(*) FROM playback_analytics pa
				JOIN tracks t ON t.id = pa.track_id
				WHERE t.creator_id = ?
			`, userID).Scan(&currentValue)
		case "followers":
			s.db.WithContext(ctx).Raw(`
				SELECT COUNT(*) FROM follows WHERE followed_id = ?
			`, userID).Scan(&currentValue)
		case "sales":
			s.db.WithContext(ctx).Raw(`
				SELECT COUNT(oi.id)
				FROM order_items oi
				JOIN orders o ON o.id = oi.order_id
				JOIN products p ON p.id = oi.product_id
				WHERE p.seller_id = ? AND o.status IN ('completed', 'paid')
			`, userID).Scan(&currentValue)
		case "listeners":
			s.db.WithContext(ctx).Raw(`
				SELECT COUNT(DISTINCT pa.user_id)
				FROM playback_analytics pa
				JOIN tracks t ON t.id = pa.track_id
				WHERE t.creator_id = ?
			`, userID).Scan(&currentValue)
		}

		if currentValue >= alert.Threshold {
			now := time.Now()
			s.db.WithContext(ctx).Exec(`
				UPDATE metric_alerts SET is_triggered = TRUE, triggered_at = ?, updated_at = ?
				WHERE id = ?
			`, now, now, alert.ID)
			triggered = append(triggered, MetricAlert{
				ID:          alert.ID.String(),
				MetricType:  alert.MetricType,
				Threshold:   alert.Threshold,
				IsTriggered: true,
				TriggeredAt: &now,
			})
		}
	}

	return triggered, nil
}