Files
Northern-Thailand-Ping-Rive…/scripts/water-monitor-retrain.service
T
grabowski 7e642555b4 chore: remove the Python service; Python is the training stack only
Phase 4 of docs/RUST_REWRITE.md. Since 2026-10-18 ping-collector (rust/)
collects, forecasts, notifies (ntfy + Matrix) and serves the website/API;
nothing in production ran the Python service code any more.

Removed (~17k lines): the FastAPI app (web_api, schemas, health_check,
metrics, postgres_history, forecast_history, thaiwater), the Python RID
collector and CLI (water_scraper_v3, main, run.py), the notifier and Matrix
alerting (notify, alerting), the multi-backend adapters (SQLite, MySQL,
InfluxDB, VictoriaMetrics) with demo databases, models/validators/exceptions/
logging/rate limiter, ml/skill.py (served by Rust now), the migration tooling
(api_parity, collector_parity, e2e_notify, install_collector.sh,
gen_notify_cases.py, spikes/rust-forecast), Docker/compose/Grafana files,
sql/, the release workflow and the docs for all of that. Their tests went
with them.

Kept in Python: src/ml (training, evaluation harness, export; predict.py as
the reference the Rust forecaster is tested against), the HII and RID-dam
clients/stores for the archive backfills (their live collectors removed),
the backfill scripts, retrain.sh + timer, forecast_parity.py.

- PostgreSQL only: src/config.py is database_url() from POSTGRES_* / .env;
  the stores lost their sqlite/mysql branches (and the 2026-08 column
  migration). The database tests run against a throwaway schema from
  TEST_DATABASE_URL (tests/conftest.py pg_url, skipped without it), as the
  Rust tests do; CI gets a PostgreSQL service. 100 tests (66 without a DB).
- The notifier settings moved from src/notify.py into src/ml/export.py;
  flood_config.json regenerates byte-identical.
- tests/test_dashboard.py checks every path the dashboard fetches against
  ping-collector's router.
- Dependencies: fastapi, uvicorn, pydantic, influxdb, pymysql, psutil,
  schedule, sphinx, pyinstaller, mypy, pytest-asyncio dropped; python-dotenv
  1.1.1 explicit (it came in through uvicorn[standard]).
- Formatting contract extended to scripts/ and tests/ (reformatted once).
- scripts/install.sh is the one installer (fresh host or update, in place in
  a checkout without touching its ownership): binary, units, uv sync, .env
  defaults, removes the retired water-monitor.service and any old
  --alert-check cron job, dry run + forecast check, restart, readiness wait.
- Docs, CLAUDE.md, CONTRIBUTING.md, .env.example, Makefile, unit comments
  and Rust doc comments updated to the Rust service.
2026-10-18 17:15:07 +07:00

40 lines
1.5 KiB
Desktop File

[Unit]
Description=Retrain the Ping River flood forecast models
Documentation=https://git.b4l.co.th/B4L/Northern-Thailand-Ping-River-Monitor/-/blob/master/docs/FLOOD_FORECASTING.md
After=network-online.target
Wants=network-online.target
[Service]
Type=oneshot
User=water-monitor
Group=water-monitor
WorkingDirectory=/opt/thailand-water-monitor
EnvironmentFile=/opt/thailand-water-monitor/.env
# The uv-managed .venv (Python training stack; scripts/install.sh syncs it).
# scripts/retrain.sh trains into models/.staging, refuses to promote anything
# that is not a rain-enabled (hgb-v3) set covering the expected stations, then
# renames the bundles into place. ping-collector reloads them on its next
# forecast run; no restart, so a failed run leaves the old models serving.
ExecStart=/bin/bash /opt/thailand-water-monitor/scripts/retrain.sh
# HistGradientBoosting is CPU-bound; cap threads so training cannot starve
# the API (docs/FLOOD_FORECASTING.md section 6 measured 4 as the sweet spot).
Environment=OMP_NUM_THREADS=4
Environment=PYTHONPATH=/opt/thailand-water-monitor
Environment=PYTHONUNBUFFERED=1
Nice=15
IOSchedulingClass=idle
# 15 stations at ~50 s each plus data load: 12 min observed on 2026-09-12.
TimeoutStartSec=45min
# Same sandbox as the API unit.
NoNewPrivileges=true
PrivateTmp=true
ProtectSystem=strict
ProtectHome=true
ReadWritePaths=/opt/thailand-water-monitor
CapabilityBoundingSet=
StandardOutput=journal
StandardError=journal
SyslogIdentifier=water-monitor-retrain