use anyhow::Result;
use chrono::{Duration, Utc};
use super::CoreStatsRepository;
use crate::models::{CostOverview, PlatformOverview, UserMetricsWithTrends};
impl CoreStatsRepository {
pub async fn get_platform_overview(&self) -> Result<PlatformOverview> {
let now = Utc::now();
let cutoff_24h = now - Duration::hours(24);
let cutoff_7d = now - Duration::days(7);
sqlx::query_as!(
PlatformOverview,
r#"
SELECT
(SELECT COUNT(*) FROM users WHERE status != 'deleted') as "total_users!",
(SELECT COUNT(DISTINCT user_id) FROM user_sessions WHERE last_activity_at > $1 AND is_bot = false AND is_behavioral_bot = false AND is_scanner = false) as "active_users_24h!",
(SELECT COUNT(DISTINCT user_id) FROM user_sessions WHERE last_activity_at > $2 AND is_bot = false AND is_behavioral_bot = false AND is_scanner = false) as "active_users_7d!",
(SELECT COUNT(*) FROM user_sessions WHERE is_bot = false AND is_behavioral_bot = false AND is_scanner = false) as "total_sessions!",
(SELECT COUNT(*) FROM user_sessions WHERE ended_at IS NULL AND is_bot = false AND is_behavioral_bot = false AND is_scanner = false) as "active_sessions!",
(SELECT COUNT(*) FROM user_contexts) as "total_contexts!",
(SELECT COUNT(*) FROM agent_tasks) as "total_tasks!",
(SELECT COUNT(*) FROM ai_requests) as "total_ai_requests!"
"#,
cutoff_24h,
cutoff_7d
)
.fetch_one(&*self.pool)
.await
.map_err(Into::into)
}
pub async fn get_cost_overview(&self) -> Result<CostOverview> {
let now = Utc::now();
let since_hours_24 = now - Duration::hours(24);
let since_days_7 = now - Duration::days(7);
let since_days_30 = now - Duration::days(30);
sqlx::query_as!(
CostOverview,
r#"
SELECT
COALESCE(SUM(cost_microdollars)::float / 1000000.0, 0.0) as "total_cost!",
COALESCE(SUM(cost_microdollars) FILTER (WHERE created_at > $1)::float / 1000000.0, 0.0) as "cost_24h!",
COALESCE(SUM(cost_microdollars) FILTER (WHERE created_at > $2)::float / 1000000.0, 0.0) as "cost_7d!",
COALESCE(SUM(cost_microdollars) FILTER (WHERE created_at > $3)::float / 1000000.0, 0.0) as "cost_30d!",
COALESCE(AVG(cost_microdollars)::float / 1000000.0, 0.0) as "avg_cost_per_request!"
FROM ai_requests
"#,
since_hours_24,
since_days_7,
since_days_30
)
.fetch_one(&*self.pool)
.await
.map_err(Into::into)
}
pub async fn get_user_metrics_with_trends(&self) -> Result<UserMetricsWithTrends> {
let now = Utc::now();
let since_hours_24 = now - Duration::hours(24);
let since_hours_48 = now - Duration::hours(48);
let since_days_7 = now - Duration::days(7);
let since_days_14 = now - Duration::days(14);
let since_days_30 = now - Duration::days(30);
let since_days_60 = now - Duration::days(60);
sqlx::query_as!(
UserMetricsWithTrends,
r#"
SELECT
COUNT(DISTINCT fingerprint_hash) FILTER (WHERE last_activity_at > $1) as "count_24h!",
COUNT(DISTINCT fingerprint_hash) FILTER (WHERE last_activity_at > $2) as "count_7d!",
COUNT(DISTINCT fingerprint_hash) FILTER (WHERE last_activity_at > $3) as "count_30d!",
COUNT(DISTINCT fingerprint_hash) FILTER (WHERE last_activity_at > $4 AND last_activity_at <= $1) as "prev_24h!",
COUNT(DISTINCT fingerprint_hash) FILTER (WHERE last_activity_at > $5 AND last_activity_at <= $2) as "prev_7d!",
COUNT(DISTINCT fingerprint_hash) FILTER (WHERE last_activity_at > $6 AND last_activity_at <= $3) as "prev_30d!"
FROM user_sessions
WHERE is_bot = false AND is_behavioral_bot = false AND is_scanner = false
"#,
since_hours_24,
since_days_7,
since_days_30,
since_hours_48,
since_days_14,
since_days_60
)
.fetch_one(&*self.pool)
.await
.map_err(Into::into)
}
}