Initial commit: river level monitoring service

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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2026-07-05 00:09:00 +01:00
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# River Levels Monitor
Polls the UK Environment Agency's [flood-monitoring API](https://environment.data.gov.uk/flood-monitoring/doc/reference)
for river level stations within a radius you choose, archives every reading
to a local SQLite database, and generates a self-contained HTML dashboard.
Data on the EA network itself typically updates every 15 minutes, so
polling more often than that gains you nothing.
## 1. Install
```bash
mkdir -p ~/river-monitor
cp river_monitor.py ~/river-monitor/
pip install --user requests # only dependency
```
## 2. First run
Give it a UK postcode (or `--lat`/`--lon`) and a search radius in km. This
location is saved to `~/river-data/config.json` so you don't need to repeat
it on later runs.
```bash
python3 ~/river-monitor/river_monitor.py --postcode "WS15 3RZ" --radius 15
```
This creates:
- `~/river-data/river_levels.db` — the SQLite archive (`stations` and
`readings` tables)
- `~/river-data/dashboard.html` — open this in a browser to see current
levels and a small trend chart per station
- `~/river-data/config.json` — remembered location/paths for future runs
Subsequent runs need no arguments:
```bash
python3 ~/river-monitor/river_monitor.py
```
## 3. Polling periodically
Two options — pick whichever fits your setup:
### Option A: systemd timer (recommended on Kubuntu)
```bash
mkdir -p ~/.config/systemd/user
cp river-monitor.service river-monitor.timer ~/.config/systemd/user/
systemctl --user daemon-reload
systemctl --user enable --now river-monitor.timer
# Check it's scheduled:
systemctl --user list-timers river-monitor.timer
# Check logs:
journalctl --user -u river-monitor.service -f
```
### Option B: cron
```bash
crontab -e
```
Add:
```
*/15 * * * * /usr/bin/python3 /home/YOURUSER/river-monitor/river_monitor.py >> /home/YOURUSER/river-data/poll.log 2>&1
```
### Option C: built-in loop (no scheduler needed)
```bash
python3 ~/river-monitor/river_monitor.py --daemon --interval 900
```
Runs in the foreground (or under `tmux`/`screen`), polling every 900
seconds until stopped.
## Data model
**stations**: `station_id`, `label`, `river_name`, `lat`, `lon`
**readings**: `station_id`, `measure_id`, `unit`, `qualifier`, `value`,
`date_time` (from the EA), `fetched_at` (when you polled it). Unique on
`(measure_id, date_time)` so re-polling before a new reading is published
never creates duplicates — safe to poll as often as you like.
Query it directly any time, e.g. levels for the last 24h:
```bash
sqlite3 ~/river-data/river_levels.db \
"SELECT label, date_time, value, unit FROM readings
JOIN stations USING(station_id)
WHERE date_time > datetime('now','-1 day')
ORDER BY date_time DESC;"
```
## Notes
- Only stations that measure river **level** (as opposed to rainfall or
flow-only gauges) are included. Edit `parameter=level` in
`fetch_level_stations()` if you also want rainfall/tide stations.
- No API key is required — this is the EA's open data API.
- Attribution (per the Open Government Licence): *"This uses Environment
Agency flood and river level data from the real-time data API (Beta)."*