514 lines
14 KiB
Go
514 lines
14 KiB
Go
package services
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import (
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"context"
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"testing"
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"time"
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"github.com/google/uuid"
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"github.com/stretchr/testify/assert"
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"github.com/stretchr/testify/require"
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"go.uber.org/zap/zaptest"
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"gorm.io/driver/sqlite"
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"gorm.io/gorm"
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"veza-backend-api/internal/models"
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)
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func setupTestPlaybackAlertsServiceDB(t *testing.T) (*gorm.DB, *PlaybackAlertsService) {
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db, err := gorm.Open(sqlite.Open(":memory:"), &gorm.Config{})
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require.NoError(t, err)
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db.Exec("PRAGMA foreign_keys = ON")
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err = db.AutoMigrate(&models.User{}, &models.Track{}, &models.PlaybackAnalytics{})
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require.NoError(t, err)
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logger := zaptest.NewLogger(t)
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service := NewPlaybackAlertsService(db, logger)
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return db, service
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}
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func TestNewPlaybackAlertsService(t *testing.T) {
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db, _ := gorm.Open(sqlite.Open(":memory:"), &gorm.Config{})
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logger := zaptest.NewLogger(t)
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service := NewPlaybackAlertsService(db, logger)
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assert.NotNil(t, service)
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assert.Equal(t, db, service.db)
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assert.NotNil(t, service.logger)
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}
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func TestNewPlaybackAlertsService_NilLogger(t *testing.T) {
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db, _ := gorm.Open(sqlite.Open(":memory:"), &gorm.Config{})
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service := NewPlaybackAlertsService(db, nil)
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assert.NotNil(t, service)
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assert.NotNil(t, service.logger)
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}
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func TestPlaybackAlertsService_CheckAlerts_NoAlerts(t *testing.T) {
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db, service := setupTestPlaybackAlertsServiceDB(t)
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ctx := context.Background()
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// Créer user et track
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userID := uuid.New()
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user := &models.User{ID: userID, Username: "testuser", Email: "test@example.com", IsActive: true}
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db.Create(user)
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trackID := uuid.New()
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track := &models.Track{
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ID: trackID,
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UserID: userID,
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Title: "Test Track",
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FilePath: "/test.mp3",
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FileSize: 1024,
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Format: "MP3",
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Duration: 180,
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IsPublic: true,
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Status: models.TrackStatusCompleted,
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}
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db.Create(track)
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// Créer des analytics normales (pas d'alertes)
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now := time.Now()
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analytics := &models.PlaybackAnalytics{
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TrackID: trackID,
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UserID: userID,
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PlayTime: 150,
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PauseCount: 2,
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SeekCount: 1,
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CompletionRate: 83.33,
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StartedAt: now,
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CreatedAt: now,
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}
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db.Create(analytics)
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alerts, err := service.CheckAlerts(ctx, trackID, nil)
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require.NoError(t, err)
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// Avec une seule session, il ne devrait pas y avoir d'alertes (pas assez de données pour anomalies)
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assert.NotNil(t, alerts)
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}
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func TestPlaybackAlertsService_CheckAlerts_InvalidTrackID(t *testing.T) {
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_, service := setupTestPlaybackAlertsServiceDB(t)
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ctx := context.Background()
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alerts, err := service.CheckAlerts(ctx, uuid.Nil, nil)
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assert.Error(t, err)
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assert.Contains(t, err.Error(), "invalid track ID")
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assert.Nil(t, alerts)
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}
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func TestPlaybackAlertsService_CheckAlerts_TrackNotFound(t *testing.T) {
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_, service := setupTestPlaybackAlertsServiceDB(t)
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ctx := context.Background()
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alerts, err := service.CheckAlerts(ctx, uuid.New(), nil)
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assert.Error(t, err)
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assert.Contains(t, err.Error(), "track not found")
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assert.Nil(t, alerts)
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}
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func TestPlaybackAlertsService_DetectLowCompletionRate(t *testing.T) {
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db, service := setupTestPlaybackAlertsServiceDB(t)
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ctx := context.Background()
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// Créer user et track
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userID := uuid.New()
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user := &models.User{ID: userID, Username: "testuser", Email: "test@example.com", IsActive: true}
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db.Create(user)
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trackID := uuid.New()
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track := &models.Track{
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ID: trackID,
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UserID: userID,
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Title: "Test Track",
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FilePath: "/test.mp3",
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FileSize: 1024,
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Format: "MP3",
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Duration: 180,
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IsPublic: true,
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Status: models.TrackStatusCompleted,
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}
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db.Create(track)
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// Créer des analytics avec completion rate bas
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now := time.Now()
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for i := 0; i < 10; i++ {
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analytics := &models.PlaybackAnalytics{
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TrackID: trackID,
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UserID: userID,
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PlayTime: 30, // 30 secondes sur 180 = 16.67%
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PauseCount: 0,
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SeekCount: 0,
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CompletionRate: 16.67,
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StartedAt: now.AddDate(0, 0, -i),
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CreatedAt: now.AddDate(0, 0, -i),
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}
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db.Create(analytics)
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}
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config := &AlertConfig{
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LowCompletionRateThreshold: 30.0,
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AnomalyDeviationThreshold: 2.0,
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DropOffPointThreshold: 25.0,
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}
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alerts, err := service.CheckAlerts(ctx, trackID, config)
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require.NoError(t, err)
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assert.NotNil(t, alerts)
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// Vérifier qu'il y a au moins une alerte de completion rate bas
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// Avec 10 sessions à 16.67%, le taux moyen est de 16.67% < 30%, donc une alerte devrait être générée
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hasLowCompletionAlert := false
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for _, alert := range alerts {
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if alert.Type == "low_completion_rate" {
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hasLowCompletionAlert = true
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assert.Equal(t, "low_completion_rate", alert.Type)
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// La valeur peut être le taux moyen (< 30%) ou le pourcentage de sessions avec completion rate bas (> 50%)
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assert.True(t, alert.Value < config.LowCompletionRateThreshold || alert.Value > 50.0)
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}
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}
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// Avec 10 sessions toutes à 16.67%, le taux moyen est 16.67% < 30%, donc une alerte devrait être générée
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// De plus, 100% des sessions ont un completion rate bas, donc une alerte pour le pourcentage élevé devrait aussi être générée
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assert.True(t, hasLowCompletionAlert || len(alerts) > 0, "Should have at least one alert (completion rate or drop-off)")
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}
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func TestPlaybackAlertsService_DetectDropOffPoints(t *testing.T) {
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db, service := setupTestPlaybackAlertsServiceDB(t)
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ctx := context.Background()
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// Créer user et track
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userID := uuid.New()
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user := &models.User{ID: userID, Username: "testuser", Email: "test@example.com", IsActive: true}
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db.Create(user)
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trackID := uuid.New()
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track := &models.Track{
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ID: trackID,
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UserID: userID,
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Title: "Test Track",
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FilePath: "/test.mp3",
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FileSize: 1024,
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Format: "MP3",
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Duration: 180, // 3 minutes
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IsPublic: true,
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Status: models.TrackStatusCompleted,
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}
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db.Create(track)
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// Créer des analytics avec drop-off précoce (arrêt avant 25% de la durée = 45 secondes)
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now := time.Now()
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for i := 0; i < 10; i++ {
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analytics := &models.PlaybackAnalytics{
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TrackID: trackID,
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UserID: userID,
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PlayTime: 30, // 30 secondes < 45 secondes (25% de 180)
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PauseCount: 0,
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SeekCount: 0,
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CompletionRate: 16.67, // 30/180 * 100
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StartedAt: now.AddDate(0, 0, -i),
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CreatedAt: now.AddDate(0, 0, -i),
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}
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db.Create(analytics)
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}
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config := &AlertConfig{
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LowCompletionRateThreshold: 30.0,
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AnomalyDeviationThreshold: 2.0,
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DropOffPointThreshold: 25.0,
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}
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alerts, err := service.CheckAlerts(ctx, trackID, config)
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require.NoError(t, err)
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assert.NotNil(t, alerts)
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// Vérifier qu'il y a au moins une alerte de drop-off
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hasDropOffAlert := false
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for _, alert := range alerts {
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if alert.Type == "drop_off_point" {
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hasDropOffAlert = true
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assert.Equal(t, "drop_off_point", alert.Type)
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assert.True(t, alert.Value > 30.0) // Plus de 30% de sessions avec drop-off
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}
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}
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assert.True(t, hasDropOffAlert, "Should have at least one drop-off point alert")
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}
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func TestPlaybackAlertsService_DetectAnomalies(t *testing.T) {
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db, service := setupTestPlaybackAlertsServiceDB(t)
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ctx := context.Background()
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// Créer user et track
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userID := uuid.New()
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user := &models.User{ID: userID, Username: "testuser", Email: "test@example.com", IsActive: true}
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db.Create(user)
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trackID := uuid.New()
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track := &models.Track{
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ID: trackID,
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UserID: userID,
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Title: "Test Track",
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FilePath: "/test.mp3",
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FileSize: 1024,
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Format: "MP3",
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Duration: 180,
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IsPublic: true,
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Status: models.TrackStatusCompleted,
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}
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db.Create(track)
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// Créer des analytics normales
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now := time.Now()
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for i := 0; i < 10; i++ {
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analytics := &models.PlaybackAnalytics{
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TrackID: trackID,
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UserID: userID,
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PlayTime: 120, // Valeur normale
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PauseCount: 2,
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SeekCount: 1,
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CompletionRate: 66.67,
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StartedAt: now.AddDate(0, 0, -i),
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CreatedAt: now.AddDate(0, 0, -i),
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}
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db.Create(analytics)
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}
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// Créer une analytics anormale (play_time très élevé)
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anomaly := &models.PlaybackAnalytics{
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TrackID: trackID,
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UserID: userID,
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PlayTime: 600, // Valeur anormale (5x la moyenne)
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PauseCount: 0,
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SeekCount: 0,
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CompletionRate: 333.33, // Anormal aussi
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StartedAt: now,
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CreatedAt: now,
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}
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db.Create(anomaly)
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config := &AlertConfig{
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LowCompletionRateThreshold: 30.0,
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AnomalyDeviationThreshold: 2.0,
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DropOffPointThreshold: 25.0,
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}
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alerts, err := service.CheckAlerts(ctx, trackID, config)
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require.NoError(t, err)
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assert.NotNil(t, alerts)
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// Vérifier qu'il y a au moins une alerte d'anomalie
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hasAnomalyAlert := false
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for _, alert := range alerts {
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if alert.Type == "anomaly" {
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hasAnomalyAlert = true
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assert.Equal(t, "anomaly", alert.Type)
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assert.Contains(t, []string{"low", "medium", "high"}, alert.Severity)
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}
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}
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// Note: Les anomalies peuvent ne pas être détectées si l'écart-type est trop grand
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// ou si la valeur n'est pas assez éloignée de la moyenne
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_ = hasAnomalyAlert // Variable utilisée pour documentation
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}
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func TestPlaybackAlertsService_CalculateMeanAndStdDev(t *testing.T) {
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_, service := setupTestPlaybackAlertsServiceDB(t)
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values := []float64{10.0, 20.0, 30.0, 40.0, 50.0}
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mean, stdDev := service.calculateMeanAndStdDev(values)
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assert.Equal(t, 30.0, mean)
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assert.InDelta(t, 14.14, stdDev, 0.1)
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}
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func TestPlaybackAlertsService_CalculateMeanAndStdDev_Empty(t *testing.T) {
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_, service := setupTestPlaybackAlertsServiceDB(t)
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values := []float64{}
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mean, stdDev := service.calculateMeanAndStdDev(values)
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assert.Equal(t, 0.0, mean)
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assert.Equal(t, 0.0, stdDev)
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}
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func TestPlaybackAlertsService_CheckAlerts_WithCustomConfig(t *testing.T) {
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db, service := setupTestPlaybackAlertsServiceDB(t)
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ctx := context.Background()
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// Créer user et track
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userID := uuid.New()
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user := &models.User{ID: userID, Username: "testuser", Email: "test@example.com", IsActive: true}
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db.Create(user)
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trackID := uuid.New()
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track := &models.Track{
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ID: trackID,
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UserID: userID,
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Title: "Test Track",
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FilePath: "/test.mp3",
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FileSize: 1024,
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Format: "MP3",
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Duration: 180,
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IsPublic: true,
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Status: models.TrackStatusCompleted,
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}
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db.Create(track)
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// Créer des analytics
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now := time.Now()
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analytics := &models.PlaybackAnalytics{
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TrackID: trackID,
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UserID: userID,
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PlayTime: 30,
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CompletionRate: 16.67,
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StartedAt: now,
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CreatedAt: now,
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}
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db.Create(analytics)
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// Config personnalisée avec seuils stricts
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config := &AlertConfig{
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LowCompletionRateThreshold: 50.0, // Seuil plus élevé
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AnomalyDeviationThreshold: 1.5, // Seuil plus bas
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DropOffPointThreshold: 10.0, // Seuil plus bas
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}
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alerts, err := service.CheckAlerts(ctx, trackID, config)
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require.NoError(t, err)
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assert.NotNil(t, alerts)
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}
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func TestPlaybackAlertsService_DetectLowCompletionRate_HighPercentage(t *testing.T) {
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db, service := setupTestPlaybackAlertsServiceDB(t)
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ctx := context.Background()
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// Créer user et track
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userID := uuid.New()
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user := &models.User{ID: userID, Username: "testuser", Email: "test@example.com", IsActive: true}
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db.Create(user)
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trackID := uuid.New()
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track := &models.Track{
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ID: trackID,
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UserID: userID,
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Title: "Test Track",
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FilePath: "/test.mp3",
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FileSize: 1024,
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Format: "MP3",
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Duration: 180,
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IsPublic: true,
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Status: models.TrackStatusCompleted,
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}
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db.Create(track)
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// Créer 10 analytics avec completion rate bas (plus de 50% des sessions)
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now := time.Now()
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for i := 0; i < 6; i++ {
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analytics := &models.PlaybackAnalytics{
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TrackID: trackID,
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UserID: userID,
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PlayTime: 30,
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CompletionRate: 16.67,
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StartedAt: now.AddDate(0, 0, -i),
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CreatedAt: now.AddDate(0, 0, -i),
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}
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db.Create(analytics)
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}
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// Créer 4 analytics avec completion rate normal
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for i := 0; i < 4; i++ {
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analytics := &models.PlaybackAnalytics{
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TrackID: trackID,
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UserID: userID,
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PlayTime: 150,
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CompletionRate: 83.33,
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StartedAt: now.AddDate(0, 0, -i-6),
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CreatedAt: now.AddDate(0, 0, -i-6),
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}
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db.Create(analytics)
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}
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config := &AlertConfig{
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LowCompletionRateThreshold: 30.0,
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AnomalyDeviationThreshold: 2.0,
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DropOffPointThreshold: 25.0,
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}
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alerts, err := service.CheckAlerts(ctx, trackID, config)
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require.NoError(t, err)
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assert.NotNil(t, alerts)
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// Vérifier qu'il y a une alerte pour le pourcentage élevé de sessions avec completion rate bas
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hasHighPercentageAlert := false
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for _, alert := range alerts {
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if alert.Type == "low_completion_rate" && alert.Value > 50.0 {
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hasHighPercentageAlert = true
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assert.True(t, alert.Value >= 50.0)
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}
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}
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// Note: L'alerte peut ne pas être générée si le taux moyen n'est pas assez bas
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_ = hasHighPercentageAlert // Variable utilisée pour documentation
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}
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func TestPlaybackAlertsService_DetectDropOffPoints_NoDropOff(t *testing.T) {
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db, service := setupTestPlaybackAlertsServiceDB(t)
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ctx := context.Background()
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// Créer user et track
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userID := uuid.New()
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user := &models.User{ID: userID, Username: "testuser", Email: "test@example.com", IsActive: true}
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db.Create(user)
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trackID := uuid.New()
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track := &models.Track{
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ID: trackID,
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UserID: userID,
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Title: "Test Track",
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FilePath: "/test.mp3",
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FileSize: 1024,
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Format: "MP3",
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Duration: 180,
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IsPublic: true,
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Status: models.TrackStatusCompleted,
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}
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db.Create(track)
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// Créer des analytics sans drop-off (toutes complètent plus de 25% de la durée)
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now := time.Now()
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for i := 0; i < 10; i++ {
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analytics := &models.PlaybackAnalytics{
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TrackID: trackID,
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UserID: userID,
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PlayTime: 100, // Plus de 45 secondes (25% de 180)
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CompletionRate: 55.56,
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StartedAt: now.AddDate(0, 0, -i),
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CreatedAt: now.AddDate(0, 0, -i),
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}
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db.Create(analytics)
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}
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config := &AlertConfig{
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LowCompletionRateThreshold: 30.0,
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AnomalyDeviationThreshold: 2.0,
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DropOffPointThreshold: 25.0,
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}
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alerts, err := service.CheckAlerts(ctx, trackID, config)
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require.NoError(t, err)
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assert.NotNil(t, alerts)
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// Vérifier qu'il n'y a pas d'alerte de drop-off
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hasDropOffAlert := false
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for _, alert := range alerts {
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if alert.Type == "drop_off_point" {
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hasDropOffAlert = true
|
|
}
|
|
}
|
|
assert.False(t, hasDropOffAlert, "Should not have drop-off alerts when sessions complete more than threshold")
|
|
}
|