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Phase 2b/2c of docs/RUST_REWRITE.md. With FORECAST_IN_COLLECTOR=true (shared .env) ping-collector, after each cycle that brought newer RID or HII readings and at least hourly: loads the last 336 h (RID + HII mirror fill), fetches the rain forecast, runs every exported model (rust/forecast), stores forecast_history and forecast_current, and sends the ntfy notifications. The Python API then serves forecast_current as /forecast (computing in-process only when it is older than FORECAST_MAX_AGE_SECONDS) and neither forecasts nor notifies. ntfy (collector/src/notify.rs): a port of src/notify.py with the same topics, texts, hysteresis, capacity guard and notification_state keys, checked word for word on 751 messages generated by Python (testdata/gen_notify_cases.py). The change: for stations whose ThaiWater twin is the same sensor, a reading newer than RID's drives the level alerts (marked as ThaiWater telemetry), and the feed counts as stale only when neither source has a reading for 3 h. RID alone lagging is reported once after RID_STALE_ALERT_HOURS (18). This ends the nightly "gauge feed stale" / "recovered" pairs caused by RID's late reports. Commands: `forecast [--json] [--save] [--now] [--rain-file]`, `notify --dry-run`. scripts/forecast_parity.py compares Python and the collector on the live database (same moment, same rain); locally 48/48 rows identical. install_collector.sh: models export + that check on every install, --cutover-forecast (refuses on a failed check) and --rollback-forecast. Trees are packed into 24-byte nodes: 70 MB peak with all 15 models (was 140). Forecast values are written to NUMERIC as shortest round-trip text, so they round as psycopg2's do. DB test schemas get a counter (parallel tests collided on Windows' coarse clock).
38 lines
1.0 KiB
Desktop File
38 lines
1.0 KiB
Desktop File
[Unit]
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Description=Ping River Monitor collector (Rust: RID, HII, dams, Open-Meteo; forecast + ntfy)
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Documentation=https://git.b4l.co.th/B4L/Northern-Thailand-Ping-River-Monitor/src/branch/master/rust
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After=network-online.target
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Wants=network-online.target
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[Service]
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Type=simple
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User=water-monitor
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Group=water-monitor
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WorkingDirectory=/opt/thailand-water-monitor
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ExecStart=/opt/thailand-water-monitor/bin/ping-collector run
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Restart=always
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RestartSec=30
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TimeoutStopSec=20
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# Same .env as water-monitor.service (POSTGRES_*, RID_*, GAP_FILL_*,
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# SCRAPING_STATUS_FILE, FORECAST_IN_COLLECTOR, NTFY_*). The Python app must run
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# with COLLECTION_ENABLED=false. Models are read from models/ (relative to
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# WorkingDirectory).
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EnvironmentFile=/opt/thailand-water-monitor/.env
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# Security settings
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NoNewPrivileges=true
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PrivateTmp=true
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ProtectSystem=strict
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ProtectHome=true
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ReadWritePaths=/opt/thailand-water-monitor
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CapabilityBoundingSet=
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MemoryMax=256M
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StandardOutput=journal
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StandardError=journal
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SyslogIdentifier=ping-collector
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[Install]
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WantedBy=multi-user.target
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