Method Stats

internal/handler/dashboard_handler.go:18–115

Stats Get dashboard statistics

(c *gin.Context)

// Stats Get dashboard statistics
func (s *Server) Stats(c *gin.Context) {
	var activeKeys, invalidKeys int64
	s.DB.Model(&models.APIKey{}).Where("status = ?", models.KeyStatusActive).Count(&activeKeys)
	s.DB.Model(&models.APIKey{}).Where("status = ?", models.KeyStatusInvalid).Count(&invalidKeys)

	now := time.Now()
	rpmStats, err := s.getRPMStats(now)
	if err != nil {
		response.ErrorI18nFromAPIError(c, app_errors.ErrDatabase, "database.rpm_stats_failed")
		return
	}
	twentyFourHoursAgo := now.Add(-24 * time.Hour)
	fortyEightHoursAgo := now.Add(-48 * time.Hour)

	currentPeriod, err := s.getHourlyStats(twentyFourHoursAgo, now)
	if err != nil {
		response.ErrorI18nFromAPIError(c, app_errors.ErrDatabase, "database.current_stats_failed")
		return
	}
	previousPeriod, err := s.getHourlyStats(fortyEightHoursAgo, twentyFourHoursAgo)
	if err != nil {
		response.ErrorI18nFromAPIError(c, app_errors.ErrDatabase, "database.previous_stats_failed")
		return
	}

	// 计算请求量趋势
	reqTrend := 0.0
	reqTrendIsGrowth := true
	if previousPeriod.TotalRequests > 0 {
		// 有前期数据，计算百分比变化
		reqTrend = (float64(currentPeriod.TotalRequests-previousPeriod.TotalRequests) / float64(previousPeriod.TotalRequests)) * 100
		reqTrendIsGrowth = reqTrend >= 0
	} else if currentPeriod.TotalRequests > 0 {
		// 前期无数据，当前有数据，视为100%增长
		reqTrend = 100.0
		reqTrendIsGrowth = true
	} else {
		// 前期和当前都无数据
		reqTrend = 0.0
		reqTrendIsGrowth = true
	}

	// 计算当前和前期错误率
	currentErrorRate := 0.0
	if currentPeriod.TotalRequests > 0 {
		currentErrorRate = (float64(currentPeriod.TotalFailures) / float64(currentPeriod.TotalRequests)) * 100
	}

	previousErrorRate := 0.0
	if previousPeriod.TotalRequests > 0 {
		previousErrorRate = (float64(previousPeriod.TotalFailures) / float64(previousPeriod.TotalRequests)) * 100
	}

	// 计算错误率趋势
	errorRateTrend := 0.0
	errorRateTrendIsGrowth := false
	if previousPeriod.TotalRequests > 0 {
		// 有前期数据，计算百分点差异