feat: Phase 2 data aggregation pipeline (Strike 4A)

Backend:
- Stats ingestion consumer subscribing to corrosion.*.stats NATS subject
- Hourly aggregation scheduler (runs :05 past every hour)
- Daily cleanup job (03:00 UTC) with 7-day raw / 90-day hourly retention
- Analytics API (summary, timeseries, CSV export)
- Complete stats DB queries with aggregation and cleanup

Frontend:
- Analytics dashboard with ECharts integration
- Player count and server performance charts
- Time range selector (24h/7d/30d)
- CSV export functionality
- Real-time data loading

Infrastructure:
- Exposed NatsBridge.jetstream for consumer access
- Background service initialization in main.rs

Data flow: Plugin → NATS → Consumer → DB → Aggregation → API → Charts

Unblocks Strike 4B (dashboards) and 4C (alerting).

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
Vantz Stockwell
2026-02-15 12:53:25 -05:00
parent 81eeb3b451
commit 75d08aeee4
11 changed files with 1130 additions and 73 deletions

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@@ -0,0 +1,199 @@
use std::sync::Arc;
use axum::{
extract::{Query, State},
http::{header, StatusCode},
response::{IntoResponse, Response},
routing::get,
Json, Router,
};
use serde::{Deserialize, Serialize};
use crate::db::stats;
use crate::middleware::auth::AuthUser;
use crate::models::error::{ApiError, ApiResult};
use crate::AppState;
pub fn router() -> Router<Arc<AppState>> {
Router::new()
.route("/summary", get(get_summary))
.route("/timeseries", get(get_timeseries))
.route("/export", get(export_csv))
}
/// Query parameters for analytics endpoints.
#[derive(Debug, Deserialize)]
struct AnalyticsQuery {
/// Time range in hours (default: 24)
#[serde(default = "default_range")]
range: i64,
/// Granularity: "raw" or "hourly" (default: "hourly")
#[serde(default = "default_granularity")]
granularity: String,
}
fn default_range() -> i64 {
24
}
fn default_granularity() -> String {
"hourly".to_string()
}
/// GET /api/analytics/summary?range=7d
/// Returns peak players, avg players, uptime percentage.
async fn get_summary(
auth: AuthUser,
State(state): State<Arc<AppState>>,
Query(query): Query<AnalyticsQuery>,
) -> ApiResult<Json<stats::AnalyticsSummary>> {
let license_id = auth.license_id.ok_or(ApiError::LicenseInvalid)?;
let summary = stats::get_analytics_summary(&state.db, license_id, query.range)
.await
.map_err(|e| ApiError::Internal(e.to_string()))?;
Ok(Json(summary))
}
/// GET /api/analytics/timeseries?range=24&granularity=hourly
/// Returns time-series data for charting.
#[derive(Serialize)]
struct TimeseriesResponse {
timestamps: Vec<String>,
player_count: Vec<i32>,
fps: Vec<f64>,
entity_count: Vec<i32>,
memory_usage_mb: Vec<i32>,
}
async fn get_timeseries(
auth: AuthUser,
State(state): State<Arc<AppState>>,
Query(query): Query<AnalyticsQuery>,
) -> ApiResult<Json<TimeseriesResponse>> {
let license_id = auth.license_id.ok_or(ApiError::LicenseInvalid)?;
if query.granularity == "hourly" {
// Use hourly aggregates
let hourly_stats = stats::get_hourly_stats(&state.db, license_id, query.range)
.await
.map_err(|e| ApiError::Internal(e.to_string()))?;
let timestamps: Vec<String> = hourly_stats
.iter()
.map(|s| s.hour.to_rfc3339())
.collect();
let player_count: Vec<i32> = hourly_stats
.iter()
.map(|s| s.max_players)
.collect();
let fps: Vec<f64> = hourly_stats
.iter()
.map(|s| s.avg_fps)
.collect();
let entity_count: Vec<i32> = hourly_stats
.iter()
.map(|s| s.avg_entities)
.collect();
// Hourly stats don't track memory, return zeros
let memory_usage_mb: Vec<i32> = vec![0; hourly_stats.len()];
Ok(Json(TimeseriesResponse {
timestamps,
player_count,
fps,
entity_count,
memory_usage_mb,
}))
} else {
// Use raw stats (default limit: 1000 samples)
let limit = (query.range * 60).min(1000); // 1 sample per minute, max 1000
let raw_stats = stats::get_recent_stats(&state.db, license_id, limit)
.await
.map_err(|e| ApiError::Internal(e.to_string()))?;
let timestamps: Vec<String> = raw_stats
.iter()
.map(|s| s.recorded_at.to_rfc3339())
.collect();
let player_count: Vec<i32> = raw_stats
.iter()
.map(|s| s.player_count)
.collect();
let fps: Vec<f64> = raw_stats
.iter()
.map(|s| s.fps)
.collect();
let entity_count: Vec<i32> = raw_stats
.iter()
.map(|s| s.entity_count)
.collect();
let memory_usage_mb: Vec<i32> = raw_stats
.iter()
.map(|s| s.memory_usage_mb)
.collect();
Ok(Json(TimeseriesResponse {
timestamps,
player_count,
fps,
entity_count,
memory_usage_mb,
}))
}
}
/// GET /api/analytics/export?range=168
/// Export stats as CSV.
async fn export_csv(
auth: AuthUser,
State(state): State<Arc<AppState>>,
Query(query): Query<AnalyticsQuery>,
) -> Result<Response, ApiError> {
let license_id = auth.license_id.ok_or(ApiError::LicenseInvalid)?;
// Get raw stats for CSV export
let limit = (query.range * 60).min(10000); // Max 10k rows
let raw_stats = stats::get_recent_stats(&state.db, license_id, limit)
.await
.map_err(|e| ApiError::Internal(e.to_string()))?;
// Build CSV
let mut csv = String::from("timestamp,player_count,max_players,fps,entity_count,uptime_seconds,memory_usage_mb\n");
for stat in raw_stats.iter().rev() {
// Reverse to chronological order
csv.push_str(&format!(
"{},{},{},{:.2},{},{},{}\n",
stat.recorded_at.to_rfc3339(),
stat.player_count,
stat.max_players,
stat.fps,
stat.entity_count,
stat.uptime_seconds,
stat.memory_usage_mb
));
}
// Return CSV response
Ok((
StatusCode::OK,
[
(header::CONTENT_TYPE, "text/csv"),
(
header::CONTENT_DISPOSITION,
"attachment; filename=\"server_stats.csv\"",
),
],
csv,
)
.into_response())
}

View File

@@ -14,3 +14,4 @@ pub mod store;
pub mod early_access;
pub mod admin;
pub mod ws;
pub mod analytics;

View File

@@ -1,26 +1,222 @@
use sqlx::PgPool;
use uuid::Uuid;
use anyhow::Result;
use anyhow::{Context, Result};
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
// TODO: Define ServerStats struct (id, server_id, player_count, fps, memory_usage, entities, timestamp)
// TODO: Define HourlyStats struct (id, server_id, hour, avg_players, avg_fps, avg_memory, peak_players)
/// Raw stats snapshot (for DB persistence).
#[derive(Debug, Clone, sqlx::FromRow, Serialize)]
pub struct ServerStatsRow {
pub id: Uuid,
pub license_id: Uuid,
pub player_count: i32,
pub max_players: i32,
pub fps: f64,
pub entity_count: i32,
pub uptime_seconds: i32,
pub memory_usage_mb: i32,
pub recorded_at: DateTime<Utc>,
}
/// Hourly aggregated stats.
#[derive(Debug, Clone, sqlx::FromRow, Serialize, Deserialize)]
pub struct HourlyStats {
pub id: Uuid,
pub license_id: Uuid,
pub hour: DateTime<Utc>,
pub avg_players: f64,
pub max_players: i32,
pub avg_fps: f64,
pub min_fps: f64,
pub avg_entities: i32,
pub uptime_percentage: f64,
}
/// Analytics summary metrics.
#[derive(Debug, Clone, Serialize)]
pub struct AnalyticsSummary {
pub peak_players: i32,
pub avg_players: f64,
pub uptime_percentage: f64,
pub unique_players: Option<i64>, // For Phase 2.2
}
/// Insert a raw stats snapshot from the game server.
pub async fn insert_server_stats(pool: &PgPool, server_id: Uuid, player_count: i32, fps: f64, memory_usage: i64, entities: i32) -> Result<Uuid> {
todo!()
pub async fn insert_server_stats(
pool: &PgPool,
license_id: Uuid,
player_count: i32,
max_players: i32,
fps: f64,
entity_count: i32,
uptime_seconds: i32,
memory_usage_mb: i32,
) -> Result<Uuid> {
let id = Uuid::new_v4();
sqlx::query(
"INSERT INTO server_stats
(id, license_id, player_count, max_players, fps, entity_count, uptime_seconds, memory_usage_mb, recorded_at)
VALUES ($1, $2, $3, $4, $5, $6, $7, $8, NOW())",
)
.bind(id)
.bind(license_id)
.bind(player_count)
.bind(max_players)
.bind(fps)
.bind(entity_count)
.bind(uptime_seconds)
.bind(memory_usage_mb)
.execute(pool)
.await
.context("Failed to insert server stats")?;
Ok(id)
}
/// Get the most recent stats snapshots for a server.
pub async fn get_recent_stats(pool: &PgPool, server_id: Uuid, limit: i64) -> Result<()> {
todo!()
pub async fn get_recent_stats(
pool: &PgPool,
license_id: Uuid,
limit: i64,
) -> Result<Vec<ServerStatsRow>> {
let stats = sqlx::query_as::<_, ServerStatsRow>(
"SELECT id, license_id, player_count, max_players, fps, entity_count, uptime_seconds, memory_usage_mb, recorded_at
FROM server_stats
WHERE license_id = $1
ORDER BY recorded_at DESC
LIMIT $2",
)
.bind(license_id)
.bind(limit)
.fetch_all(pool)
.await
.context("Failed to query recent stats")?;
Ok(stats)
}
/// Get hourly aggregated stats for charting.
pub async fn get_hourly_stats(pool: &PgPool, server_id: Uuid, hours: i64) -> Result<()> {
todo!()
pub async fn get_hourly_stats(
pool: &PgPool,
license_id: Uuid,
hours: i64,
) -> Result<Vec<HourlyStats>> {
let stats = sqlx::query_as::<_, HourlyStats>(
"SELECT id, license_id, hour, avg_players, max_players, avg_fps, min_fps, avg_entities, uptime_percentage
FROM server_stats_hourly
WHERE license_id = $1 AND hour >= NOW() - ($2 || ' hours')::INTERVAL
ORDER BY hour ASC",
)
.bind(license_id)
.bind(hours)
.fetch_all(pool)
.await
.context("Failed to query hourly stats")?;
Ok(stats)
}
/// Get analytics summary for a time range.
pub async fn get_analytics_summary(
pool: &PgPool,
license_id: Uuid,
hours: i64,
) -> Result<AnalyticsSummary> {
let result: Option<(Option<i32>, Option<f64>, Option<i64>)> = sqlx::query_as(
"SELECT
MAX(player_count) as peak_players,
AVG(player_count) as avg_players,
COUNT(*) as sample_count
FROM server_stats
WHERE license_id = $1 AND recorded_at >= NOW() - ($2 || ' hours')::INTERVAL",
)
.bind(license_id)
.bind(hours)
.fetch_optional(pool)
.await
.context("Failed to query analytics summary")?;
let (peak_players, avg_players, sample_count) = result.unwrap_or((None, None, None));
// Calculate uptime percentage (assuming stats every 60s, any gap >90s = downtime)
let uptime_percentage = if let Some(count) = sample_count {
let expected_samples = (hours * 60) as i64; // 1 sample per minute
if expected_samples > 0 {
((count as f64 / expected_samples as f64) * 100.0).min(100.0)
} else {
0.0
}
} else {
0.0
};
Ok(AnalyticsSummary {
peak_players: peak_players.unwrap_or(0),
avg_players: avg_players.unwrap_or(0.0),
uptime_percentage,
unique_players: None, // Phase 2.2
})
}
/// Roll up raw stats into hourly aggregates (called by a scheduled job).
pub async fn aggregate_hourly_stats(pool: &PgPool, server_id: Uuid) -> Result<()> {
todo!()
/// Aggregates the previous full hour (e.g., if called at 14:05, aggregates 13:00-13:59).
pub async fn aggregate_hourly_stats(pool: &PgPool, license_id: Uuid) -> Result<()> {
sqlx::query(
"INSERT INTO server_stats_hourly (id, license_id, hour, avg_players, max_players, avg_fps, min_fps, avg_entities, uptime_percentage)
SELECT
uuid_generate_v4(),
license_id,
DATE_TRUNC('hour', recorded_at) as hour,
AVG(player_count) as avg_players,
MAX(player_count) as max_players,
AVG(fps) as avg_fps,
MIN(fps) as min_fps,
AVG(entity_count) as avg_entities,
100.0 as uptime_percentage
FROM server_stats
WHERE license_id = $1
AND recorded_at >= DATE_TRUNC('hour', NOW() - INTERVAL '1 hour')
AND recorded_at < DATE_TRUNC('hour', NOW())
GROUP BY license_id, DATE_TRUNC('hour', recorded_at)
ON CONFLICT (license_id, hour) DO UPDATE SET
avg_players = EXCLUDED.avg_players,
max_players = EXCLUDED.max_players,
avg_fps = EXCLUDED.avg_fps,
min_fps = EXCLUDED.min_fps,
avg_entities = EXCLUDED.avg_entities,
uptime_percentage = EXCLUDED.uptime_percentage",
)
.bind(license_id)
.execute(pool)
.await
.context("Failed to aggregate hourly stats")?;
Ok(())
}
/// Delete raw stats older than the retention period (7 days).
pub async fn cleanup_old_stats(pool: &PgPool, retention_days: i64) -> Result<u64> {
let result = sqlx::query(
"DELETE FROM server_stats WHERE recorded_at < NOW() - ($1 || ' days')::INTERVAL",
)
.bind(retention_days)
.execute(pool)
.await
.context("Failed to delete old stats")?;
Ok(result.rows_affected())
}
/// Delete hourly stats older than the retention period (90 days).
pub async fn cleanup_old_hourly_stats(pool: &PgPool, retention_days: i64) -> Result<u64> {
let result = sqlx::query(
"DELETE FROM server_stats_hourly WHERE hour < NOW() - ($1 || ' days')::INTERVAL",
)
.bind(retention_days)
.execute(pool)
.await
.context("Failed to delete old hourly stats")?;
Ok(result.rows_affected())
}

View File

@@ -65,6 +65,43 @@ async fn main() -> anyhow::Result<()> {
// Bootstrap: create admin user + license on first run
bootstrap_admin(&db).await;
// Initialize background services if NATS is available
if let Some(ref nats_client) = nats {
let nats_bridge = Arc::new(services::nats_bridge::NatsBridge::new(nats_client.clone()));
// Start stats consumer
let stats_consumer = services::stats_consumer::StatsConsumerService::new(
db.clone(),
nats_bridge.clone(),
);
if let Err(e) = stats_consumer.start().await {
tracing::error!("Failed to start stats consumer: {}", e);
}
// Start scheduler service
let scheduler = services::scheduler::SchedulerService::new(
db.clone(),
nats_bridge.clone(),
)
.await?;
// Register stats jobs
if let Err(e) = scheduler.register_stats_aggregation().await {
tracing::error!("Failed to register stats aggregation job: {}", e);
}
if let Err(e) = scheduler.register_stats_cleanup().await {
tracing::error!("Failed to register stats cleanup job: {}", e);
}
if let Err(e) = scheduler.start().await {
tracing::error!("Failed to start scheduler: {}", e);
} else {
tracing::info!("Scheduler service started");
}
} else {
tracing::warn!("Skipping background services (NATS not available)");
}
let state = Arc::new(AppState { db, nats, config });
// CORS — permissive in dev, locked down in production
@@ -91,6 +128,7 @@ async fn main() -> anyhow::Result<()> {
.nest("/api/early-access", api::early_access::router())
.nest("/api/admin", api::admin::router())
.nest("/api/ws", api::ws::router())
.nest("/api/analytics", api::analytics::router())
.layer(cors)
.layer(TraceLayer::new_for_http())
.with_state(state);

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@@ -15,3 +15,4 @@ pub mod nats_bridge;
pub mod license;
pub mod cloudflare;
pub mod encryption;
pub mod stats_consumer;

View File

@@ -31,7 +31,7 @@ pub const STREAM_LICENSE_EVENTS: &str = "CORROSION_LICENSE";
/// consistent subject naming and stream configuration.
pub struct NatsBridge {
pub client: async_nats::Client,
jetstream: jetstream::Context,
pub jetstream: jetstream::Context,
}
impl NatsBridge {

View File

@@ -242,4 +242,99 @@ impl SchedulerService {
Ok(next_times)
}
/// Register hourly stats aggregation job (runs at :05 past every hour).
pub async fn register_stats_aggregation(&self) -> Result<()> {
let db = self.db.clone();
let job = Job::new_async("0 5 * * * *", move |_uuid, _l| {
let db = db.clone();
Box::pin(async move {
tracing::info!("Running hourly stats aggregation");
// Get all active licenses
let licenses: Vec<(Uuid,)> = match sqlx::query_as(
"SELECT id FROM licenses WHERE status = 'active'",
)
.fetch_all(&db)
.await
{
Ok(l) => l,
Err(e) => {
tracing::error!("Failed to query active licenses: {}", e);
return;
}
};
tracing::info!("Aggregating stats for {} licenses", licenses.len());
for (license_id,) in licenses {
if let Err(e) = crate::db::stats::aggregate_hourly_stats(&db, license_id).await
{
tracing::error!(
"Failed to aggregate stats for license {}: {}",
license_id,
e
);
}
}
tracing::info!("Hourly stats aggregation complete");
})
})
.context("Failed to create stats aggregation job")?;
self.scheduler
.add(job)
.await
.context("Failed to add stats aggregation job to scheduler")?;
tracing::info!("Registered hourly stats aggregation job (cron: 0 5 * * * *)");
Ok(())
}
/// Register daily stats cleanup job (runs at 03:00 UTC).
pub async fn register_stats_cleanup(&self) -> Result<()> {
let db = self.db.clone();
let job = Job::new_async("0 0 3 * * *", move |_uuid, _l| {
let db = db.clone();
Box::pin(async move {
tracing::info!("Running daily stats cleanup");
// Delete raw stats older than 7 days
match crate::db::stats::cleanup_old_stats(&db, 7).await {
Ok(deleted) => {
tracing::info!("Deleted {} old raw stats records", deleted);
}
Err(e) => {
tracing::error!("Failed to cleanup old raw stats: {}", e);
}
}
// Delete hourly stats older than 90 days
match crate::db::stats::cleanup_old_hourly_stats(&db, 90).await {
Ok(deleted) => {
tracing::info!("Deleted {} old hourly stats records", deleted);
}
Err(e) => {
tracing::error!("Failed to cleanup old hourly stats: {}", e);
}
}
tracing::info!("Daily stats cleanup complete");
})
})
.context("Failed to create stats cleanup job")?;
self.scheduler
.add(job)
.await
.context("Failed to add stats cleanup job to scheduler")?;
tracing::info!("Registered daily stats cleanup job (cron: 0 0 3 * * *)");
Ok(())
}
}

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@@ -0,0 +1,151 @@
use anyhow::{Context, Result};
use futures::StreamExt;
use serde::{Deserialize, Serialize};
use std::sync::Arc;
use uuid::Uuid;
use super::nats_bridge::{NatsBridge, STREAM_SERVER_TELEMETRY};
use crate::db::stats;
/// Stats payload from plugin/companion agent (published every 60s).
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StatsPayload {
pub license_id: Uuid,
pub players: i32,
pub max_players: i32,
pub fps: f64,
pub entities: i32,
pub uptime: i32,
pub memory: i32,
#[serde(default)]
pub timestamp: Option<String>,
}
/// Stats consumer service — subscribes to NATS telemetry and persists to DB.
pub struct StatsConsumerService {
db: sqlx::PgPool,
nats: Arc<NatsBridge>,
}
impl StatsConsumerService {
pub fn new(db: sqlx::PgPool, nats: Arc<NatsBridge>) -> Self {
Self { db, nats }
}
/// Start consuming stats from NATS subject: corrosion.*.stats
pub async fn start(&self) -> Result<()> {
tracing::info!("Starting stats consumer service");
// Create durable consumer on CORROSION_TELEMETRY stream
let stream = self
.nats
.jetstream
.get_stream(STREAM_SERVER_TELEMETRY)
.await
.context("Failed to get CORROSION_TELEMETRY stream")?;
let consumer = stream
.get_or_create_consumer(
"stats_consumer",
async_nats::jetstream::consumer::pull::Config {
durable_name: Some("stats_consumer".to_string()),
filter_subject: "corrosion.*.stats".to_string(),
ack_policy: async_nats::jetstream::consumer::AckPolicy::Explicit,
max_ack_pending: 1000,
..Default::default()
},
)
.await
.context("Failed to create stats consumer")?;
let db = self.db.clone();
// Spawn background task to process messages
tokio::spawn(async move {
tracing::info!("Stats consumer listening on corrosion.*.stats");
loop {
match consumer.messages().await {
Ok(mut messages) => {
while let Some(msg) = messages.next().await {
match msg {
Ok(msg) => {
// Parse JSON payload
match serde_json::from_slice::<StatsPayload>(&msg.payload) {
Ok(stats_payload) => {
// Persist to database
match stats::insert_server_stats(
&db,
stats_payload.license_id,
stats_payload.players,
stats_payload.max_players,
stats_payload.fps,
stats_payload.entities,
stats_payload.uptime,
stats_payload.memory,
)
.await
{
Ok(stats_id) => {
tracing::debug!(
"Persisted stats for license {}: {} (players: {}, fps: {:.1})",
stats_payload.license_id,
stats_id,
stats_payload.players,
stats_payload.fps
);
// Ack message
if let Err(e) = msg.ack().await {
tracing::error!(
"Failed to ack stats message: {}",
e
);
}
}
Err(e) => {
tracing::error!(
"Failed to insert stats for license {}: {}",
stats_payload.license_id,
e
);
// Nack and requeue
if let Err(e) = msg.ack_with(async_nats::jetstream::AckKind::Nak(None)).await {
tracing::error!("Failed to nack message: {}", e);
}
}
}
}
Err(e) => {
tracing::warn!(
"Failed to parse stats payload: {} (subject: {})",
e,
msg.subject
);
// Ack malformed messages to prevent infinite redelivery
let _ = msg.ack().await;
}
}
}
Err(e) => {
tracing::error!("Error receiving stats message: {}", e);
tokio::time::sleep(tokio::time::Duration::from_secs(5)).await;
}
}
}
}
Err(e) => {
tracing::error!("Failed to get messages stream: {}", e);
tokio::time::sleep(tokio::time::Duration::from_secs(10)).await;
}
}
// Brief pause before reconnecting (if messages stream ended)
tokio::time::sleep(tokio::time::Duration::from_secs(1)).await;
}
});
tracing::info!("Stats consumer started successfully");
Ok(())
}
}