feat: public flood notifications over self-hosted ntfy
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Anyone can now get push alerts on their phone without an account: the
monitor publishes to an ntfy server (one Go binary, ~30 MB RSS) and
subscribers pick topics in the free iOS/Android/web app.

Semantics are transitions, never state. One message when a gauge crosses
its warning or danger threshold, one all-clear when it drops back (0.10 m
hysteresis), nothing while it sits above. A three-day flood is two
messages; a quiet season is zero. Topics: ping-warning / ping-danger
(basin digest), ping-<station>-warning / -danger, ping-p1-outlook (opt-in:
model P(warning within 24 h) at P.1 rises through 50 %, clears below 25 %,
message says it is experimental), ping-status (feed stale >= 3 h /
recovered). Priority 5 on danger so it rings through Do Not Disturb.

src/notify.py runs once per collection cycle in the API process (leader
only, after the forecast precompute, same data the dashboard shows).
Last-sent state lives in a notification_state table so a restart never
re-sends; a failed publish leaves state untouched so the crossing is
retried next cycle instead of lost. Off unless NTFY_SERVER is set.

Dashboard: a "Get alerts" button (only when configured) opens a panel
with the server, per-topic cards, ntfy:// deep links and web links, app
store links and a disclaimer. EN + TH. GET /api/notifications feeds it.

scripts/install_ntfy.sh: .deb install, server.yml (loopback listen,
anonymous read, token-only write scoped to ping-*, 72 h cache, signup/
login/metrics off, tight visitor limits), systemd, user + token, .env.
Verified against ntfy 2.28.0: anon publish 403, token publish 200, token
on foreign topic 403, anon read 200, and a seeded crossing through the
real _notify_transitions path arrived in the topic with priority, tags,
click and action button. docs/NOTIFICATIONS.md has the deployment and
reverse-proxy notes. Tests: 10 for the state machine (159 total).
This commit is contained in:
2026-09-12 00:18:38 +02:00
parent 0ec675e9c5
commit 777b230baf
10 changed files with 1252 additions and 2 deletions
+9
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@@ -84,6 +84,15 @@ SMTP_PORT=587
SMTP_USERNAME= SMTP_USERNAME=
SMTP_PASSWORD= SMTP_PASSWORD=
# Public push notifications via self-hosted ntfy (https://ntfy.sh, single binary).
# Leave NTFY_SERVER empty to disable. Topics published: <prefix>-<station>-warning,
# <prefix>-<station>-danger, <prefix>-warning, <prefix>-danger, <prefix>-p1-outlook,
# <prefix>-status. See docs/NOTIFICATIONS.md.
NTFY_SERVER=
NTFY_TOPIC_PREFIX=ping
NTFY_TOKEN=
PUBLIC_URL=https://water.buildfor.life/
# Matrix Alerting Configuration # Matrix Alerting Configuration
MATRIX_HOMESERVER=https://matrix.org MATRIX_HOMESERVER=https://matrix.org
MATRIX_ACCESS_TOKEN= MATRIX_ACCESS_TOKEN=
+9 -2
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@@ -36,7 +36,11 @@ background in [Teaching a Model to See the Ping River Rise 13 Hours Early](https
- **Shows it.** A Leaflet map with the river drawn as OSM geometry and styled by live - **Shows it.** A Leaflet map with the river drawn as OSM geometry and styled by live
discharge, rain gauges, the Chiang Mai inundation zones, per-station history, the discharge, rain gauges, the Chiang Mai inundation zones, per-station history, the
forecast card, a replay of the 2024 flood, English/Thai, light/dark. forecast card, a replay of the 2024 flood, English/Thai, light/dark.
- **Alerts** (optional) to a Matrix room when a gauge crosses its thresholds. - **Notifies.** Public push alerts over a self-hosted [ntfy](https://ntfy.sh): one
message when a gauge crosses its warning or danger level, one all-clear on the
way down, an opt-in early-warning topic from the model, nothing in between.
Subscribe from the free app, no account. Matrix room alerts for a team are
also supported.
## Quick start ## Quick start
@@ -79,6 +83,8 @@ Asia/Bangkok wall-clock without an offset suffix.
| `GET /api/forecast/history/{code}?hours=N&horizon=24` | Forecasts as issued, for auditing lead time after the fact | | `GET /api/forecast/history/{code}?hours=N&horizon=24` | Forecasts as issued, for auditing lead time after the fact |
| `GET /api/hii/rainfall/latest`, `/api/hii/waterlevel/latest` | Latest ThaiWater/HII gauge readings | | `GET /api/hii/rainfall/latest`, `/api/hii/waterlevel/latest` | Latest ThaiWater/HII gauge readings |
| `GET /api/hii/rainfall/catchment?days=N` | HII gauge catchment-mean rain next to the Open-Meteo series the model uses | | `GET /api/hii/rainfall/catchment?days=N` | HII gauge catchment-mean rain next to the Open-Meteo series the model uses |
| `GET /api/forecast/skill?station_code=P.1` | Issued forecasts vs what happened, per deployed model version |
| `GET /api/notifications` | ntfy server and topic names for the subscribe panel |
| `GET /api/stats` | Row counts per source, date range, coverage | | `GET /api/stats` | Row counts per source, date range, coverage |
| `GET /health` | DB / upstream / memory checks | | `GET /health` | DB / upstream / memory checks |
@@ -122,7 +128,8 @@ models/ trained bundles + metrics.json (gitignored) and evaluation
- [docs/DATA_SOURCES.md](docs/DATA_SOURCES.md) — every ingested and candidate source, endpoints, quirks - [docs/DATA_SOURCES.md](docs/DATA_SOURCES.md) — every ingested and candidate source, endpoints, quirks
- [docs/STATION_MANAGEMENT_GUIDE.md](docs/STATION_MANAGEMENT_GUIDE.md) — adding/editing gauges - [docs/STATION_MANAGEMENT_GUIDE.md](docs/STATION_MANAGEMENT_GUIDE.md) — adding/editing gauges
- [docs/DATABASE_DEPLOYMENT_GUIDE.md](docs/DATABASE_DEPLOYMENT_GUIDE.md), [POSTGRESQL_SETUP.md](POSTGRESQL_SETUP.md) — database setup - [docs/DATABASE_DEPLOYMENT_GUIDE.md](docs/DATABASE_DEPLOYMENT_GUIDE.md), [POSTGRESQL_SETUP.md](POSTGRESQL_SETUP.md) — database setup
- [docs/MATRIX_QUICK_START.md](docs/MATRIX_QUICK_START.md) — alert delivery - [docs/NOTIFICATIONS.md](docs/NOTIFICATIONS.md) — public push alerts: topics, semantics, ntfy deployment
- [docs/MATRIX_QUICK_START.md](docs/MATRIX_QUICK_START.md) — Matrix room alerts for a team
- [docs/GAP_FILLING_GUIDE.md](docs/GAP_FILLING_GUIDE.md) — data integrity tooling - [docs/GAP_FILLING_GUIDE.md](docs/GAP_FILLING_GUIDE.md) — data integrity tooling
- [docs/references/NOTABLE_DOCUMENTS.md](docs/references/NOTABLE_DOCUMENTS.md) — official Thai government resources - [docs/references/NOTABLE_DOCUMENTS.md](docs/references/NOTABLE_DOCUMENTS.md) — official Thai government resources
- Public overview: [buildfor.life/docs/tooling/ping-river-monitor](https://buildfor.life/docs/tooling/ping-river-monitor/) - Public overview: [buildfor.life/docs/tooling/ping-river-monitor](https://buildfor.life/docs/tooling/ping-river-monitor/)
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@@ -0,0 +1,129 @@
# Flood notifications (ntfy)
Public push notifications for threshold crossings, without accounts, mailing
lists or app-store review: the monitor publishes to a self-hosted
[ntfy](https://ntfy.sh) server, and anyone subscribes to the topics they care
about from the free ntfy app (iOS, Android, F-Droid) or a browser tab.
ntfy is one Go binary with a sqlite cache: ~30 MB RSS idle, negligible CPU. It
runs on the same VPS as the monitor.
## What subscribers get
Every message is a **transition**, never a state. Crossing up into a level sends
one message; dropping back below it (with 0.10 m hysteresis) sends one
all-clear. A river that sits at 3.9 m for three days produces two messages, not
seventy-two. In a quiet season a subscriber hears nothing.
| Topic | Trigger | Priority |
|---|---|---|
| `ping-warning` | any gauge crosses its warning threshold; levels falling back | 4 (high) / 2 |
| `ping-danger` | any gauge crosses its danger threshold | 5 (max, breaks Do-Not-Disturb) |
| `ping-<station>-warning` | that gauge crosses warning; back to normal | 4 / 2 |
| `ping-<station>-danger` | that gauge crosses danger; back below danger | 5 / 3 |
| `ping-p1-outlook` | model P(warning within 24 h) at P.1 rises through 50 % (clears below 25 %) | 4 / 2 |
| `ping-status` | gauge feed stale ≥ 3 h; feed recovered | 3 / 2 |
Station slugs are the code lowercased without the dot: `p1`, `p103`, `p67`.
Thresholds are the ones in `src/ml/features.py` (`THRESHOLDS`): P.1 3.70 /
4.20 m, P.103 5.95 / 6.75 m, and so on.
The outlook topic is opt-in for a reason: it is model output, and the message
says so. Observed-crossing topics only ever report a gauge reading.
Each message carries a click-through and an "Open dashboard" action button to
the public dashboard.
## How it runs
`src/notify.py` is called once per collection cycle inside the API process
(leader only), right after the forecast precompute, so it sees exactly the
readings and forecasts the dashboard shows. Per-key last-sent state is stored
in the `notification_state` table of the monitor's own database, so a restart
or redeploy never re-sends and never misses a crossing that happened while
the service was down (the next cycle compares against the persisted state).
If ntfy is unreachable the transition is **not** recorded, so it is retried
on the next cycle rather than silently lost. Any other failure in the notify
step is logged and never reaches the collection loop.
The dashboard's "🔔 Get alerts" button appears only when `NTFY_SERVER` is
set; it reads `GET /api/notifications` and renders subscribe links
(`ntfy://` deep links for the app, https links for the web UI).
## Deployment
On the monitor VPS, as root:
```bash
cd /opt/thailand-water-monitor
NTFY_DOMAIN=ntfy.buildfor.life bash scripts/install_ntfy.sh
```
This installs the ntfy .deb, writes `/etc/ntfy/server.yml` (listen on
`127.0.0.1:2586`, anonymous read, token-only write, 72 h message cache,
signup/login/metrics off, tight visitor limits), enables the systemd unit,
creates the `monitor` user with **write-only access to `ping-*`**, mints a
token, and appends `NTFY_SERVER` / `NTFY_TOPIC_PREFIX` / `NTFY_TOKEN` to
`.env` if they are not there yet. Then:
```bash
systemctl restart water-monitor
journalctl -u water-monitor -n 20 | grep ntfy # "ntfy notifications: https://... topics ping-*"
curl -s 'https://ntfy.buildfor.life/ping-status/json?poll=1' # anonymous read works
```
Put `https://ntfy.buildfor.life` in front of `127.0.0.1:2586` with whatever
already terminates TLS for `water.buildfor.life`. Subscribers hold a
long-lived connection, so the proxy needs websockets on and no short read
timeout:
```caddyfile
ntfy.buildfor.life {
reverse_proxy 127.0.0.1:2586
}
```
Cloudflare tunnel: add a public hostname `ntfy.buildfor.life`
`http://127.0.0.1:2586`. Cloudflare proxies websockets by default; nothing
else to set.
Nothing about the message pipeline needs the domain to be public before you
test: with `NTFY_SERVER=http://127.0.0.1:2586` in `.env` the monitor
publishes locally and `curl .../ping-status/json?poll=1` shows what went out.
## Configuration
| Variable | Default | Meaning |
|---|---|---|
| `NTFY_SERVER` | *(empty = off)* | base URL of the ntfy server the monitor publishes to |
| `NTFY_TOPIC_PREFIX` | `ping` | first segment of every topic |
| `NTFY_TOKEN` | *(empty)* | bearer token if the server requires auth to publish (it does, see above) |
| `PUBLIC_URL` | `https://water.buildfor.life/` | click-through target in messages |
Tunables in `src/notify.py`: `CLEAR_MARGIN_M` (0.10), `OUTLOOK_ON` / `OUTLOOK_OFF`
(0.50 / 0.25), stale feed threshold (3 h, argument to `evaluate`).
## Testing
`tests/test_notify.py` covers the state machine: quiet river sends nothing;
crossing once, then silence while above, then all-clear; hysteresis on the way
down; escalation to danger and back; basin digest grouping; outlook on/off;
heuristic forecasts ignored; stale feed and recovery; state survives a restart
through sqlite; a failed publish is retried next cycle.
To exercise the real path against a real ntfy locally: run `ntfy serve` (any
platform, same binary), set `NTFY_SERVER`/`NTFY_TOKEN`, seed readings, and
poll the topic JSON. `scripts/e2e_notify.py` does exactly that if you want a
template.
## Why ntfy and not …
- **Matrix** (`src/alerting.py`, still there): needs a homeserver account per
subscriber and a room invite; fine for a team, wrong for the public.
- **Gotify**: also self-hosted and light, but Android-only client and one
account per subscriber.
- **Email / SMS**: deliverability work, cost per message, no priority
semantics; ntfy can forward to email per subscription if someone wants it.
- **Telegram / LINE bots**: platform lock-in and a bot token in the loop; can be
added later as ntfy→webhook fan-out without touching the monitor.
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"""Drive the production notify path in-process: startup init -> seeded readings
-> forecast cache -> _notify_transitions -> sqlite state -> real ntfy."""
import asyncio
import datetime
import json
import os
import sys
import requests
os.environ.update(
DB_TYPE="sqlite",
WATER_DB_PATH=os.path.join(os.environ["LOCALAPPDATA"], "Temp", "smoke3.db"),
NTFY_SERVER="http://127.0.0.1:2586",
NTFY_TOKEN=os.environ.get("NTFY_TOKEN", ""),
NTFY_TOPIC_PREFIX="ping",
)
for f in ("smoke3.db",):
p = os.path.join(os.environ["LOCALAPPDATA"], "Temp", f)
if os.path.exists(p):
os.remove(p)
from src import web_api # noqa: E402
from src.config import Config # noqa: E402
assert Config.NTFY_SERVER
async def main():
# what the lifespan does at startup, minus the scheduler
from src import notify as notify_mod
from src.forecast_history import ForecastHistoryStore
from src.water_scraper_v3 import EnhancedWaterMonitorScraper
db_config = Config.get_database_config()
web_api.app_state["scraper"] = EnhancedWaterMonitorScraper(db_config)
store = ForecastHistoryStore(db_config["connection_string"], db_config["type"])
store.connect()
web_api.app_state["forecast_store"] = store
state = notify_mod.NotificationState(store.engine, store.db_type)
pub = notify_mod.NtfyPublisher(
Config.NTFY_SERVER, prefix=Config.NTFY_TOPIC_PREFIX, token=Config.NTFY_TOKEN
)
web_api.app_state["notify"] = (pub, state)
scraper = web_api.app_state["scraper"]
now = datetime.datetime.now().replace(minute=0, second=0, microsecond=0)
def seed(level_p1, level_p103, ts):
rows = [
{
"station_code": "P.1",
"station_id": 1,
"timestamp": ts,
"water_level": level_p1,
"discharge": 400.0,
"station_name_en": "Nawarat Bridge",
"station_name_th": "สะพานนวรัฐ",
"discharge_percent": 30.0,
"status": "active",
},
{
"station_code": "P.103",
"station_id": 2,
"timestamp": ts,
"water_level": level_p103,
"discharge": 300.0,
"station_name_en": "Ring Road 3",
"station_name_th": "วงแหวน 3",
"discharge_percent": 20.0,
"status": "active",
},
]
scraper.db_adapter.save_measurements(rows)
def forecast(p):
with web_api.FORECAST_CACHE_LOCK:
web_api.FORECAST_CACHE["all"] = (
0,
[
{
"station_code": "P.1",
"horizon_hours": 24,
"p_warning": p,
"predicted_max_level": 3.9,
"source": "model",
}
],
)
def poll(topic):
out = []
for line in (
requests.get(f"{Config.NTFY_SERVER}/{topic}/json?poll=1", timeout=5)
.text.strip()
.splitlines()
):
m = json.loads(line)
if m.get("event") == "message":
out.append(m.get("title") or m.get("message", "")[:40])
return out
# cycle 1: quiet
seed(1.6, 3.2, now - datetime.timedelta(hours=2))
forecast(0.02)
await web_api._notify_transitions()
# cycle 2: P.1 crosses warning, model outlook on
seed(3.75, 3.3, now - datetime.timedelta(hours=1))
forecast(0.7)
await web_api._notify_transitions()
# cycle 3: same state -> silence
seed(3.80, 3.3, now)
forecast(0.65)
await web_api._notify_transitions()
print("ping-p1-warning:", poll("ping-p1-warning"))
print("ping-warning: ", poll("ping-warning"))
print("ping-p1-outlook:", poll("ping-p1-outlook"))
print("ping-p103-warning:", poll("ping-p103-warning"))
from sqlalchemy import text
with store.engine.connect() as c:
print(
"state table:",
c.execute(
text("SELECT key, state, value FROM notification_state ORDER BY key")
).fetchall(),
)
asyncio.run(main())
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#!/usr/bin/env bash
# Install ntfy (https://ntfy.sh) as the public notification server for the
# Ping River Monitor. Run as root on the monitor VPS. Idempotent.
#
# NTFY_DOMAIN=ntfy.buildfor.life bash scripts/install_ntfy.sh
#
# What it does:
# - installs the ntfy .deb from the official GitHub release (single Go
# binary, ~30 MB RSS, sqlite message cache)
# - writes /etc/ntfy/server.yml: listens on 127.0.0.1:2586 only (put it
# behind your existing reverse proxy / Cloudflare tunnel), anonymous
# READ on all topics, WRITE only with a token
# - creates the `monitor` publishing user + token, writes NTFY_SERVER /
# NTFY_TOKEN into /opt/thailand-water-monitor/.env if not present
#
# Reverse proxy: forward https://$NTFY_DOMAIN -> http://127.0.0.1:2586 with
# websockets enabled and a long/no read timeout (subscribers hold the
# connection open). Caddy: `reverse_proxy 127.0.0.1:2586`. Cloudflare
# tunnel: add a public hostname pointing at http://127.0.0.1:2586.
set -euo pipefail
NTFY_DOMAIN="${NTFY_DOMAIN:?set NTFY_DOMAIN, e.g. ntfy.buildfor.life}"
NTFY_VERSION="${NTFY_VERSION:-2.28.0}"
MONITOR_DIR="${MONITOR_DIR:-/opt/thailand-water-monitor}"
LISTEN="${NTFY_LISTEN:-127.0.0.1:2586}"
if ! command -v ntfy >/dev/null || [[ "$(ntfy --version 2>/dev/null | awk '{print $3}')" != "$NTFY_VERSION" ]]; then
tmp=$(mktemp -d)
curl -fsSL -o "$tmp/ntfy.deb" \
"https://github.com/binwiederhier/ntfy/releases/download/v${NTFY_VERSION}/ntfy_${NTFY_VERSION}_linux_amd64.deb"
dpkg -i "$tmp/ntfy.deb"
rm -rf "$tmp"
fi
install -d -m 755 /var/cache/ntfy /var/lib/ntfy
cat > /etc/ntfy/server.yml <<EOF
# Ping River Monitor notification server. Managed by scripts/install_ntfy.sh.
base-url: "https://${NTFY_DOMAIN}"
listen-http: "${LISTEN}"
behind-proxy: true
# Messages are kept so a phone that was offline still gets the crossing.
cache-file: "/var/cache/ntfy/cache.db"
cache-duration: "72h"
# Everyone may subscribe; only the monitor (token) may publish.
auth-file: "/var/lib/ntfy/user.db"
auth-default-access: "read-only"
# The monitor publishes a handful of messages per flood; be strict with
# everything else so the box cannot be used as a free relay.
visitor-request-limit-burst: 30
visitor-request-limit-replenish: "10s"
visitor-subscription-limit: 60
visitor-message-daily-limit: 200
attachment-cache-dir: ""
enable-signup: false
enable-login: false
enable-metrics: false
EOF
systemctl enable --now ntfy
systemctl restart ntfy
sleep 1
curl -fsS "http://${LISTEN}/v1/health" >/dev/null && echo "ntfy up on ${LISTEN}"
# Publishing identity for the monitor
if ! ntfy user list 2>/dev/null | grep -q '^user monitor (role'; then
NTFY_PASSWORD="$(openssl rand -base64 24)" ntfy user add --role=user monitor
fi
ntfy access monitor 'ping-*' write-only >/dev/null
# 'ping-*' read stays anonymous via auth-default-access
token=$(ntfy token list monitor 2>/dev/null | awk '/^- tk_/{print $2; exit}') # '- tk_xxx (label), ...'
if [[ -z "$token" ]]; then
token=$(ntfy token add --label "water-monitor" monitor | grep -oE 'tk_[A-Za-z0-9]+' | head -1) # 'token tk_xxx created for user monitor'
fi
env_file="${MONITOR_DIR}/.env"
if [[ -f "$env_file" ]] && ! grep -q '^NTFY_SERVER=' "$env_file"; then
{
echo ""
echo "# ntfy public notifications (scripts/install_ntfy.sh)"
echo "NTFY_SERVER=https://${NTFY_DOMAIN}"
echo "NTFY_TOPIC_PREFIX=ping"
echo "NTFY_TOKEN=${token}"
} >> "$env_file"
echo "wrote NTFY_* to ${env_file}; restart water-monitor to enable"
else
echo "NTFY_TOKEN=${token}"
fi
echo
echo "Subscribe test (anonymous read): curl -s 'http://${LISTEN}/ping-status/json?poll=1'"
echo "Publish test (needs token): curl -s -H 'Authorization: Bearer ${token}' -d 'hello' http://${LISTEN}/ping-status"
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@@ -38,6 +38,12 @@ class Config:
TARGET_URL = "https://hyd-app-db.rid.go.th/hydro1h.html" TARGET_URL = "https://hyd-app-db.rid.go.th/hydro1h.html"
API_URL = "https://hyd-app-db.rid.go.th/webservice/getGroupHourlyWaterLevelReportAllHL.ashx" API_URL = "https://hyd-app-db.rid.go.th/webservice/getGroupHourlyWaterLevelReportAllHL.ashx"
THAIWATER_API_KEY = os.getenv("THAIWATER_API_KEY") THAIWATER_API_KEY = os.getenv("THAIWATER_API_KEY")
# Public flood notifications (ntfy). Off unless NTFY_SERVER is set.
NTFY_SERVER = os.getenv("NTFY_SERVER", "").strip()
NTFY_TOPIC_PREFIX = os.getenv("NTFY_TOPIC_PREFIX", "ping").strip()
NTFY_TOKEN = os.getenv("NTFY_TOKEN", "").strip() # publish token if ACL enabled
PUBLIC_URL = os.getenv("PUBLIC_URL", "https://water.buildfor.life/").strip()
REQUEST_TIMEOUT = int(os.getenv("REQUEST_TIMEOUT", "30")) REQUEST_TIMEOUT = int(os.getenv("REQUEST_TIMEOUT", "30"))
USER_AGENT = ( USER_AGENT = (
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 " "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 "
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"""Public flood notifications over ntfy.
Runs once per collection cycle inside the API process (leader only), right
after the forecast precompute, so it sees the same readings and forecasts the
dashboard shows. Publishes to a self-hosted ntfy server; anyone subscribes to
a topic from the free app or a browser, no account needed.
Topics (all under one configurable prefix, default "ping"):
{prefix}-{station}-warning observed level crossed the station's warning threshold
{prefix}-{station}-danger observed level crossed the danger threshold
{prefix}-warning any station crossed warning (basin-wide digest)
{prefix}-danger any station crossed danger
{prefix}-p1-outlook model early warning for Chiang Mai city: P.1's 24 h
warning probability crossed the alert level (opt-in;
the forecast is experimental and says so)
{prefix}-status feed/monitor health: data stale, recovered
Each notification is a TRANSITION, not a state: crossing UP into a level sends
one message; dropping back below (with hysteresis) sends an all-clear. While
the river sits above a threshold nothing is repeated, so a subscriber in a
flood gets a handful of messages, not one an hour. The per-topic state is
persisted (notification_state table) so a restart never re-sends.
Everything is fail-safe: ntfy unreachable, table missing, malformed
reading -> a logged warning, never an exception into the collection loop.
"""
import datetime
import logging
from dataclasses import dataclass
from typing import Dict, Iterable, List, Optional
import requests
from .ml import features
logger = logging.getLogger(__name__)
# Hysteresis: an all-clear needs the level this far BELOW the threshold, so a
# river bobbing around 3.70 m does not toggle warning/clear every hour.
CLEAR_MARGIN_M = 0.10
# Outlook alert fires when p_warning(24h) rises through ON, clears below OFF.
OUTLOOK_ON = 0.50
OUTLOOK_OFF = 0.25
# Below this the outlook is not announced at all (avoid "5 % chance" noise).
OUTLOOK_HORIZON = 24
STATION_NAMES: Dict[str, str] = {
"P.1": "Nawarat Bridge, Chiang Mai city",
"P.103": "Ring Road Bridge 3, Chiang Mai",
"P.67": "Ban Tae (Mae Taeng)",
"P.21": "Ban Rim Tai (Mae Rim)",
"P.75": "Ban Chai Lat",
"P.92": "Ban Muang Aut",
"P.20": "Ban Chiang Dao",
"P.4A": "Ban Mae Taeng",
"P.5": "Tha Nang Bridge (downstream)",
"P.81": "Ban Pong (downstream)",
"P.82": "Ban Sob Win",
"P.84": "Ban Panton",
"P.87": "Ban Pa Sang",
"P.77": "Ban Sop Mae Sapuat",
"P.85": "Ban Lai Kaew",
"P.76": "Ban Mae I Hai",
}
def _slug(code: str) -> str:
return code.lower().replace(".", "")
@dataclass
class Notification:
topic: str
title: str
message: str
priority: int = 3 # ntfy: 1 min .. 5 max
tags: Optional[List[str]] = None
click: Optional[str] = None
class NtfyPublisher:
def __init__(
self,
server: str,
prefix: str = "ping",
token: Optional[str] = None,
dashboard_url: str = "https://water.buildfor.life/",
timeout: int = 10,
):
self.server = server.rstrip("/")
self.prefix = prefix
self.token = token
self.dashboard_url = dashboard_url
self.timeout = timeout
def topic(self, *parts: str) -> str:
return "-".join([self.prefix, *parts])
def publish(self, n: Notification) -> bool:
headers = {
"Title": n.title,
"Priority": str(n.priority),
"Click": n.click or self.dashboard_url,
"Actions": f"view, Open dashboard, {n.click or self.dashboard_url}",
}
if n.tags:
headers["Tags"] = ",".join(n.tags)
if self.token:
headers["Authorization"] = f"Bearer {self.token}"
try:
r = requests.post(
f"{self.server}/{n.topic}",
data=n.message.encode("utf-8"),
headers=headers,
timeout=self.timeout,
)
if r.status_code >= 300:
logger.warning(f"ntfy {n.topic}: HTTP {r.status_code} {r.text[:120]}")
return False
return True
except Exception as error:
logger.warning(f"ntfy {n.topic}: {error}")
return False
class NotificationState:
"""Per-key last-sent state, in the monitor's own SQL database."""
def __init__(self, engine, db_type: str):
self.engine = engine
self.db_type = db_type
self._ensure()
def _ensure(self) -> None:
from sqlalchemy import text
with self.engine.begin() as conn:
conn.execute(
text(
"CREATE TABLE IF NOT EXISTS notification_state ("
"key VARCHAR(64) PRIMARY KEY, state VARCHAR(16) NOT NULL, "
"value NUMERIC(8,3), updated_at TIMESTAMP NOT NULL)"
)
)
def get(self, key: str) -> Optional[str]:
from sqlalchemy import text
with self.engine.connect() as conn:
row = conn.execute(
text("SELECT state FROM notification_state WHERE key = :k"), {"k": key}
).fetchone()
return row[0] if row else None
def set(self, key: str, state: str, value: Optional[float] = None) -> None:
from sqlalchemy import text
now = datetime.datetime.now()
with self.engine.begin() as conn:
if self.db_type == "mysql":
sql = (
"INSERT INTO notification_state (key, state, value, updated_at) "
"VALUES (:k, :s, :v, :t) ON DUPLICATE KEY UPDATE "
"state = VALUES(state), value = VALUES(value), updated_at = VALUES(updated_at)"
)
else:
sql = (
"INSERT INTO notification_state (key, state, value, updated_at) "
"VALUES (:k, :s, :v, :t) ON CONFLICT (key) DO UPDATE SET "
"state = EXCLUDED.state, value = EXCLUDED.value, updated_at = EXCLUDED.updated_at"
)
conn.execute(text(sql), {"k": key, "s": state, "v": value, "t": now})
class InMemoryState(NotificationState):
"""For tests and when no SQL engine is available (loses state on restart)."""
def __init__(self): # noqa: D107 - intentionally skips the SQL parent
self._d: Dict[str, str] = {}
def get(self, key: str) -> Optional[str]:
return self._d.get(key)
def set(self, key: str, state: str, value: Optional[float] = None) -> None:
self._d[key] = state
def _level_state(level: float, warn: float, danger: float, prev: Optional[str]) -> str:
"""'clear' | 'warning' | 'danger', with hysteresis on the way down."""
if level >= danger:
return "danger"
if level >= warn:
# from danger: stay 'danger' until below danger - margin
if prev == "danger" and level >= danger - CLEAR_MARGIN_M:
return "danger"
return "warning"
if prev in ("warning", "danger") and level >= warn - CLEAR_MARGIN_M:
return "warning"
return "clear"
def evaluate(
readings: Iterable[dict],
forecasts: Iterable[dict],
state: NotificationState,
publisher: NtfyPublisher,
stale_after_h: float = 3.0,
now: Optional[datetime.datetime] = None,
) -> List[Notification]:
"""Compare current readings/forecasts with last-sent state; publish transitions.
readings: rows with station_code, water_level, timestamp (latest per station)
forecasts: /forecast rows (station_code, horizon_hours, p_warning, predicted_max_level)
Returns the notifications that were published (for logs/tests).
"""
now = now or datetime.datetime.now()
sent: List[Notification] = []
def emit(n: Notification) -> bool:
ok = publisher.publish(n)
if ok:
sent.append(n)
return ok
# ---- observed levels, per station, plus basin-wide fan-out
basin_changes: Dict[str, List[str]] = {"warning": [], "danger": [], "clear": []}
latest_ts: Optional[datetime.datetime] = None
for r in readings:
code = r.get("station_code")
level = r.get("water_level")
if not code or level is None:
continue
try:
level = float(level)
except (TypeError, ValueError):
continue
ts = r.get("timestamp")
if isinstance(ts, str):
try:
ts = datetime.datetime.fromisoformat(ts)
except ValueError:
ts = None
if isinstance(ts, datetime.datetime) and (latest_ts is None or ts > latest_ts):
latest_ts = ts
warn, danger = features.get_thresholds(code)
key = f"level:{code}"
prev = state.get(key) or "clear"
cur = _level_state(level, warn, danger, prev)
if cur == prev:
continue
name = STATION_NAMES.get(code, code)
slug = _slug(code)
when = (
ts.strftime("%d %b %H:%M") if isinstance(ts, datetime.datetime) else "now"
)
if cur == "danger":
ok = emit(
Notification(
publisher.topic(slug, "danger"),
f"DANGER level at {code}",
f"{name}: {level:.2f} m at {when}, above the danger level of {danger:.2f} m.",
priority=5,
tags=["rotating_light", code],
)
)
basin_changes["danger"].append(f"{code} {level:.2f} m")
elif cur == "warning":
if prev == "danger":
ok = emit(
Notification(
publisher.topic(slug, "danger"),
f"{code} back below danger level",
f"{name}: {level:.2f} m at {when}; still above the warning level of {warn:.2f} m.",
priority=3,
tags=["arrow_down", code],
)
)
basin_changes["clear"].append(f"{code} below danger ({level:.2f} m)")
else:
ok = emit(
Notification(
publisher.topic(slug, "warning"),
f"Warning level at {code}",
f"{name}: {level:.2f} m at {when}, above the warning level of {warn:.2f} m.",
priority=4,
tags=["warning", code],
)
)
basin_changes["warning"].append(f"{code} {level:.2f} m")
else: # clear
ok = emit(
Notification(
publisher.topic(slug, "warning"),
f"{code} back to normal",
f"{name}: {level:.2f} m at {when}, below the warning level of {warn:.2f} m.",
priority=2,
tags=["white_check_mark", code],
)
)
basin_changes["clear"].append(f"{code} normal ({level:.2f} m)")
# Only remember the transition once it was actually delivered: if ntfy
# was down, the next cycle retries instead of silently swallowing a
# flood crossing.
if ok:
state.set(key, cur, level)
if basin_changes["danger"]:
emit(
Notification(
publisher.topic("danger"),
"Ping River: danger level reached",
"; ".join(basin_changes["danger"]),
priority=5,
tags=["rotating_light"],
)
)
if basin_changes["warning"]:
emit(
Notification(
publisher.topic("warning"),
"Ping River: warning level reached",
"; ".join(basin_changes["warning"]),
priority=4,
tags=["warning"],
)
)
if basin_changes["clear"]:
emit(
Notification(
publisher.topic("warning"),
"Ping River: levels falling",
"; ".join(basin_changes["clear"]),
priority=2,
tags=["white_check_mark"],
)
)
# ---- model outlook for the city gauge (opt-in topic, experimental)
p1 = next(
(
f
for f in forecasts
if f.get("station_code") == "P.1"
and f.get("horizon_hours") == OUTLOOK_HORIZON
and f.get("source") == "model"
),
None,
)
if p1 and p1.get("p_warning") is not None:
p = float(p1["p_warning"])
key = "outlook:P.1"
prev = state.get(key) or "off"
cur = (
"on" if (p >= OUTLOOK_ON or (prev == "on" and p >= OUTLOOK_OFF)) else "off"
)
if cur != prev:
peak = p1.get("predicted_max_level")
warn, _ = features.get_thresholds("P.1")
if cur == "on":
ok = emit(
Notification(
publisher.topic("p1-outlook"),
"Early warning: Chiang Mai flood risk rising",
f"The forecast model gives a {p * 100:.0f}% chance that Nawarat Bridge (P.1) "
f"reaches {warn:.2f} m within 24 h"
+ (
f" (expected peak {float(peak):.2f} m)"
if peak is not None
else ""
)
+ ". Experimental model output, not an official warning; "
"follow ThaiWater/TMD for official alerts.",
priority=4,
tags=["crystal_ball"],
)
)
else:
ok = emit(
Notification(
publisher.topic("p1-outlook"),
"Chiang Mai flood risk easing",
f"The model's 24 h probability of reaching {warn:.2f} m at P.1 has dropped to {p * 100:.0f}%.",
priority=2,
tags=["crystal_ball"],
)
)
if ok:
state.set(key, cur, p)
# ---- feed health
if latest_ts is not None:
age_h = (now - latest_ts).total_seconds() / 3600.0
key = "feed"
prev = state.get(key) or "ok"
cur = "stale" if age_h >= stale_after_h else "ok"
if cur != prev:
if cur == "stale":
ok = emit(
Notification(
publisher.topic("status"),
"Ping River monitor: gauge feed stale",
f"No new readings for {age_h:.0f} h (last {latest_ts:%d %b %H:%M}). "
"Levels and forecasts on the dashboard are not current.",
priority=3,
tags=["hourglass"],
)
)
else:
ok = emit(
Notification(
publisher.topic("status"),
"Ping River monitor: feed recovered",
f"Readings are current again (latest {latest_ts:%d %b %H:%M}).",
priority=2,
tags=["white_check_mark"],
)
)
if ok:
state.set(key, cur, age_h)
return sent
+148
View File
@@ -113,6 +113,25 @@
.lang-toggle { padding: 9px 12px; font-size: .78rem; font-weight: 800; white-space: nowrap; } .lang-toggle { padding: 9px 12px; font-size: .78rem; font-weight: 800; white-space: nowrap; }
.lang-toggle[data-active-lang="th"] { background: var(--mint); border-color: var(--mint-border); color: var(--mint-ink); } .lang-toggle[data-active-lang="th"] { background: var(--mint); border-color: var(--mint-border); color: var(--mint-ink); }
.theme-toggle { padding: 9px 11px; font-size: .95rem; line-height: 1; } .theme-toggle { padding: 9px 11px; font-size: .95rem; line-height: 1; }
.alerts-panel { margin-bottom: 14px; padding: 18px 20px; border-radius: 16px; background: var(--card); border: 1px solid var(--border); box-shadow: var(--shadow); }
.alerts-head { display: flex; justify-content: space-between; align-items: center; gap: 12px; }
.alerts-head h2 { margin: 0; font-size: 1.15rem; }
.alerts-close { background: transparent; border: 0; color: var(--muted); font-size: 1.1rem; cursor: pointer; padding: 4px 8px; }
.alerts-intro { color: var(--muted); font-size: .92rem; line-height: 1.5; margin: 8px 0 12px; }
.alerts-server { display: flex; align-items: center; gap: 10px; flex-wrap: wrap; font-size: .9rem; margin-bottom: 12px; }
.alerts-server code { background: var(--surface); border: 1px solid var(--border); padding: 4px 8px; border-radius: 8px; font-size: .9rem; }
.alerts-server button { padding: 4px 10px; font-size: .8rem; }
.alerts-grid { display: grid; grid-template-columns: repeat(auto-fill, minmax(280px, 1fr)); gap: 10px; }
.alerts-topic { border: 1px solid var(--border); border-radius: 12px; padding: 10px 12px; background: var(--surface); display: flex; flex-direction: column; gap: 4px; }
.alerts-topic .name { font-weight: 600; font-size: .95rem; }
.alerts-topic .desc { color: var(--muted); font-size: .82rem; line-height: 1.4; }
.alerts-topic .row { display: flex; align-items: center; gap: 8px; margin-top: 4px; flex-wrap: wrap; }
.alerts-topic code { font-size: .82rem; background: var(--card); border: 1px solid var(--border); padding: 2px 6px; border-radius: 6px; }
.alerts-topic a { font-size: .82rem; }
.alerts-topic.danger { border-color: rgba(220, 38, 38, .45); }
.alerts-topic.outlook { border-style: dashed; }
.alerts-foot { color: var(--muted); font-size: .82rem; margin: 12px 0 0; line-height: 1.6; }
.alerts-disclaimer { display: block; margin-top: 4px; }
.leaflet-popup-content-wrapper, .leaflet-popup-tip { background: var(--card); color: var(--ink); } .leaflet-popup-content-wrapper, .leaflet-popup-tip { background: var(--card); color: var(--ink); }
.leaflet-container a.leaflet-popup-close-button { color: var(--muted); } .leaflet-container a.leaflet-popup-close-button { color: var(--muted); }
.leaflet-bar a, .leaflet-control-attribution { background: var(--surface); color: var(--ink); border-color: var(--border); } .leaflet-bar a, .leaflet-control-attribution { background: var(--surface); color: var(--ink); border-color: var(--border); }
@@ -348,10 +367,33 @@
<button id="refresh-button" type="button" data-i18n="action.refresh">↻ Refresh</button> <button id="refresh-button" type="button" data-i18n="action.refresh">↻ Refresh</button>
<button id="lang-toggle" class="lang-toggle" type="button" data-active-lang="en" aria-label="Switch to Thai">ไทย</button> <button id="lang-toggle" class="lang-toggle" type="button" data-active-lang="en" aria-label="Switch to Thai">ไทย</button>
<button id="theme-toggle" class="theme-toggle" type="button" data-i18n-aria="theme.toggle" aria-label="Switch to dark mode" title="Switch to dark mode">🌙</button> <button id="theme-toggle" class="theme-toggle" type="button" data-i18n-aria="theme.toggle" aria-label="Switch to dark mode" title="Switch to dark mode">🌙</button>
<button id="alerts-button" type="button" data-i18n="alerts.button" style="display:none">🔔 Get alerts</button>
<button id="replay-2024" type="button" data-i18n="replay.start">▶ Replay Oct 2024 flood</button> <button id="replay-2024" type="button" data-i18n="replay.start">▶ Replay Oct 2024 flood</button>
</div> </div>
</header> </header>
<section id="alerts-panel" class="alerts-panel" style="display:none" aria-labelledby="alerts-title">
<div class="alerts-head">
<h2 id="alerts-title" data-i18n="alerts.title">Flood alerts on your phone</h2>
<button type="button" class="alerts-close" id="alerts-close" data-i18n-aria="alerts.close" aria-label="Close"></button>
</div>
<p class="alerts-intro" data-i18n="alerts.intro">Free push notifications when a gauge crosses its warning or danger level, and an all-clear when it drops back. No account: install the ntfy app (iOS / Android / any browser), add the server, subscribe to the topics you want. You get a message only when something changes: a few per flood, none in a quiet season.</p>
<div class="alerts-server">
<span data-i18n="alerts.server">Server</span>
<code id="alerts-server-url"></code>
<button type="button" id="alerts-copy" data-i18n="alerts.copy">Copy</button>
</div>
<div class="alerts-grid" id="alerts-topics"></div>
<p class="alerts-foot">
<span data-i18n="alerts.apps">Apps:</span>
<a href="https://apps.apple.com/us/app/ntfy/id1625396347" target="_blank" rel="noopener">iOS</a> ·
<a href="https://play.google.com/store/apps/details?id=io.heckel.ntfy" target="_blank" rel="noopener">Android</a> ·
<a href="https://f-droid.org/en/packages/io.heckel.ntfy/" target="_blank" rel="noopener">F-Droid</a> ·
<a id="alerts-web-link" href="#" target="_blank" rel="noopener" data-i18n="alerts.web">Web (no install)</a>
<span class="alerts-disclaimer" data-i18n="alerts.disclaimer">Unofficial community service, best effort. For official warnings follow ThaiWater / TMD / your district office.</span>
</p>
</section>
<section id="flood-verdict" role="status" aria-live="polite" style="display:none;margin-bottom:14px;padding:15px 18px;border-radius:16px;border:1px solid;display:none"> <section id="flood-verdict" role="status" aria-live="polite" style="display:none;margin-bottom:14px;padding:15px 18px;border-radius:16px;border:1px solid;display:none">
<div style="display:flex;gap:12px;align-items:baseline;flex-wrap:wrap"> <div style="display:flex;gap:12px;align-items:baseline;flex-wrap:wrap">
<strong id="verdict-icon" style="font-size:1.2rem"></strong> <strong id="verdict-icon" style="font-size:1.2rem"></strong>
@@ -585,6 +627,31 @@
'skill.worse': (v, prev, d) => `Current model ${v} has a higher peak error than ${prev} so far (+${d} cm).`, 'skill.worse': (v, prev, d) => `Current model ${v} has a higher peak error than ${prev} so far (+${d} cm).`,
'skill.caveat.quiet': 'All verified hours so far were below 2 m: this measures quiet-river accuracy only. The model is built and judged for flood onset (lead time before 3.70 m), which no quiet week can test — see the backtests in the documentation.', 'skill.caveat.quiet': 'All verified hours so far were below 2 m: this measures quiet-river accuracy only. The model is built and judged for flood onset (lead time before 3.70 m), which no quiet week can test — see the backtests in the documentation.',
'skill.caveat.regime': 'Versions served different weeks; the ≥ 2 m column compares them on the hours that matter.', 'skill.caveat.regime': 'Versions served different weeks; the ≥ 2 m column compares them on the hours that matter.',
'alerts.button': '🔔 Get alerts',
'alerts.title': 'Flood alerts on your phone',
'alerts.intro': 'Free push notifications when a gauge crosses its warning or danger level, and an all-clear when it drops back. No account: install the ntfy app (iOS / Android / any browser), add the server, subscribe to the topics you want. You get a message only when something changes: a few per flood, none in a quiet season.',
'alerts.server': 'Server',
'alerts.copy': 'Copy',
'alerts.copied': 'Copied',
'alerts.close': 'Close',
'alerts.apps': 'Apps:',
'alerts.web': 'Web (no install)',
'alerts.disclaimer': 'Unofficial community service, best effort. For official warnings follow ThaiWater / TMD / your district office.',
'alerts.subscribe': 'Subscribe in app',
'alerts.t.warning': 'Any gauge: warning level',
'alerts.t.warning.d': 'One message when any Ping River gauge crosses its warning level, and when levels fall back. The one to pick if unsure.',
'alerts.t.danger': 'Any gauge: danger level',
'alerts.t.danger.d': 'Only the serious crossings, basin-wide. Highest priority: rings through Do Not Disturb on most phones.',
'alerts.t.p1.warning': 'Chiang Mai city (P.1) warning',
'alerts.t.p1.warning.d': 'Nawarat Bridge crosses 3.70 m (stage 1: low-lying riverside areas), and the all-clear.',
'alerts.t.p1.danger': 'Chiang Mai city (P.1) danger',
'alerts.t.p1.danger.d': 'Nawarat Bridge crosses 4.20 m (stage 5: inner city districts).',
'alerts.t.p103.warning': 'Ring Road 3 (P.103) warning',
'alerts.t.p103.warning.d': 'Downstream city gauge crosses 5.95 m.',
'alerts.t.outlook': 'Early warning (model forecast)',
'alerts.t.outlook.d': 'Experimental: the forecast model gives a ≥ 50 % chance that P.1 reaches its warning level within 24 h. Up to ~13 h earlier than the gauge, but it can be wrong.',
'alerts.t.status': 'Monitor status',
'alerts.t.status.d': 'Gauge feed stale / recovered. For people who rely on the dashboard.',
'skill.single': (v) => `Only ${v} has enough verified hours yet; the next retrain adds a row to compare.`, 'skill.single': (v) => `Only ${v} has enough verified hours yet; the next retrain adds a row to compare.`,
'skill.young': (v, n, min) => `${v} has ${n} verified hours; a comparison needs ${min}.`, 'skill.young': (v, n, min) => `${v} has ${n} verified hours; a comparison needs ${min}.`,
'skill.none': 'No verified forecasts yet — the first appear 24 h after a model starts serving.', 'skill.none': 'No verified forecasts yet — the first appear 24 h after a model starts serving.',
@@ -781,6 +848,31 @@
'skill.worse': (v, prev, d) => `โมเดลปัจจุบัน ${v} มีค่าคลาดเคลื่อนสูงกว่า ${prev} (+${d} ซม.)`, 'skill.worse': (v, prev, d) => `โมเดลปัจจุบัน ${v} มีค่าคลาดเคลื่อนสูงกว่า ${prev} (+${d} ซม.)`,
'skill.caveat.quiet': 'ชั่วโมงที่ตรวจสอบทั้งหมดอยู่ต่ำกว่า 2 ม.: วัดได้เพียงความแม่นยำช่วงน้ำปกติ โมเดลถูกสร้างและประเมินสำหรับช่วงน้ำเริ่มท่วม (เวลาเตือนล่วงหน้าก่อน 3.70 ม.) ซึ่งสัปดาห์ปกติทดสอบไม่ได้ — ดูผลทดสอบย้อนหลังในเอกสาร', 'skill.caveat.quiet': 'ชั่วโมงที่ตรวจสอบทั้งหมดอยู่ต่ำกว่า 2 ม.: วัดได้เพียงความแม่นยำช่วงน้ำปกติ โมเดลถูกสร้างและประเมินสำหรับช่วงน้ำเริ่มท่วม (เวลาเตือนล่วงหน้าก่อน 3.70 ม.) ซึ่งสัปดาห์ปกติทดสอบไม่ได้ — ดูผลทดสอบย้อนหลังในเอกสาร',
'skill.caveat.regime': 'แต่ละเวอร์ชันให้บริการคนละช่วงเวลา คอลัมน์ ≥ 2 ม. เปรียบเทียบเฉพาะชั่วโมงที่สำคัญ', 'skill.caveat.regime': 'แต่ละเวอร์ชันให้บริการคนละช่วงเวลา คอลัมน์ ≥ 2 ม. เปรียบเทียบเฉพาะชั่วโมงที่สำคัญ',
'alerts.button': '🔔 รับการแจ้งเตือน',
'alerts.title': 'แจ้งเตือนน้ำท่วมบนมือถือของคุณ',
'alerts.intro': 'การแจ้งเตือนฟรีเมื่อระดับน้ำที่สถานีใดข้ามระดับเฝ้าระวังหรือระดับอันตราย และแจ้งเมื่อกลับสู่ปกติ ไม่ต้องสมัครสมาชิก: ติดตั้งแอป ntfy (iOS / Android / เบราว์เซอร์) เพิ่มเซิร์ฟเวอร์ แล้วเลือกหัวข้อที่ต้องการ คุณจะได้รับข้อความเฉพาะเมื่อมีการเปลี่ยนแปลง: ไม่กี่ข้อความต่อเหตุการณ์น้ำท่วม และไม่มีเลยในช่วงปกติ',
'alerts.server': 'เซิร์ฟเวอร์',
'alerts.copy': 'คัดลอก',
'alerts.copied': 'คัดลอกแล้ว',
'alerts.close': 'ปิด',
'alerts.apps': 'แอป:',
'alerts.web': 'เว็บ (ไม่ต้องติดตั้ง)',
'alerts.disclaimer': 'บริการชุมชนอย่างไม่เป็นทางการ พยายามอย่างดีที่สุด สำหรับคำเตือนอย่างเป็นทางการโปรดติดตาม ThaiWater / กรมอุตุนิยมวิทยา / สำนักงานอำเภอของคุณ',
'alerts.subscribe': 'สมัครในแอป',
'alerts.t.warning': 'สถานีใดก็ได้: ระดับเฝ้าระวัง',
'alerts.t.warning.d': 'หนึ่งข้อความเมื่อสถานีใดในแม่น้ำปิงข้ามระดับเฝ้าระวัง และเมื่อระดับน้ำลดลง หากไม่แน่ใจให้เลือกอันนี้',
'alerts.t.danger': 'สถานีใดก็ได้: ระดับอันตราย',
'alerts.t.danger.d': 'เฉพาะการข้ามระดับที่ร้ายแรง ทั้งลุ่มน้ำ ความสำคัญสูงสุด: ดังผ่านโหมดห้ามรบกวนในโทรศัพท์ส่วนใหญ่',
'alerts.t.p1.warning': 'เมืองเชียงใหม่ (P.1) ระดับเฝ้าระวัง',
'alerts.t.p1.warning.d': 'สะพานนวรัฐข้าม 3.70 ม. (ระยะที่ 1: พื้นที่ริมน้ำที่ต่ำ) และแจ้งเมื่อกลับสู่ปกติ',
'alerts.t.p1.danger': 'เมืองเชียงใหม่ (P.1) ระดับอันตราย',
'alerts.t.p1.danger.d': 'สะพานนวรัฐข้าม 4.20 ม. (ระยะที่ 5: ย่านใจกลางเมือง)',
'alerts.t.p103.warning': 'ถนนวงแหวน 3 (P.103) ระดับเฝ้าระวัง',
'alerts.t.p103.warning.d': 'สถานีท้ายเมืองข้าม 5.95 ม.',
'alerts.t.outlook': 'เตือนล่วงหน้า (แบบจำลองพยากรณ์)',
'alerts.t.outlook.d': 'ทดลอง: แบบจำลองพยากรณ์ให้โอกาส ≥ 50% ที่ P.1 จะถึงระดับเฝ้าระวังภายใน 24 ชม. เร็วกว่าสถานีวัดได้ถึง ~13 ชม. แต่อาจผิดพลาดได้',
'alerts.t.status': 'สถานะระบบ',
'alerts.t.status.d': 'ข้อมูลสถานีล่าช้า / กลับมาปกติ สำหรับผู้ที่พึ่งพาแดชบอร์ด',
'skill.single': (v) => `มีเพียง ${v} ที่มีข้อมูลตรวจสอบเพียงพอ การฝึกครั้งถัดไปจะเพิ่มแถวให้เปรียบเทียบ`, 'skill.single': (v) => `มีเพียง ${v} ที่มีข้อมูลตรวจสอบเพียงพอ การฝึกครั้งถัดไปจะเพิ่มแถวให้เปรียบเทียบ`,
'skill.young': (v, n, min) => `${v} มีข้อมูลตรวจสอบ ${n} ชั่วโมง ต้องการอย่างน้อย ${min} เพื่อเปรียบเทียบ`, 'skill.young': (v, n, min) => `${v} มีข้อมูลตรวจสอบ ${n} ชั่วโมง ต้องการอย่างน้อย ${min} เพื่อเปรียบเทียบ`,
'skill.none': 'ยังไม่มีพยากรณ์ที่ตรวจสอบได้ — จะเริ่มมี 24 ชม. หลังโมเดลเริ่มทำงาน', 'skill.none': 'ยังไม่มีพยากรณ์ที่ตรวจสอบได้ — จะเริ่มมี 24 ชม. หลังโมเดลเริ่มทำงาน',
@@ -905,6 +997,60 @@
return typeof value === 'function' ? value(...args) : value; return typeof value === 'function' ? value(...args) : value;
} }
// ---- public push notifications (ntfy) -------------------------------------
let ALERTS_CFG = null;
const ALERT_TOPICS = [
{ key: 'warning', topic: 'warning', cls: '' },
{ key: 'danger', topic: 'danger', cls: 'danger' },
{ key: 'p1.warning', topic: 'p1-warning', cls: '' },
{ key: 'p1.danger', topic: 'p1-danger', cls: 'danger' },
{ key: 'p103.warning', topic: 'p103-warning', cls: '' },
{ key: 'outlook', topic: 'p1-outlook', cls: 'outlook' },
{ key: 'status', topic: 'status', cls: '' },
];
async function loadAlertsConfig() {
try {
const r = await fetch('/api/notifications');
if (!r.ok) return;
const cfg = await r.json();
if (!cfg.enabled || !cfg.server) return;
ALERTS_CFG = cfg;
$('alerts-button').style.display = '';
renderAlertsPanel();
} catch (e) { /* no notifications configured */ }
}
function renderAlertsPanel() {
if (!ALERTS_CFG) return;
const server = ALERTS_CFG.server.replace(/\/$/, '');
const host = server.replace(/^https?:\/\//, '');
$('alerts-server-url').textContent = host;
$('alerts-web-link').href = server + '/' + ALERTS_CFG.prefix + '-warning';
$('alerts-topics').innerHTML = ALERT_TOPICS.map(tp => {
const full = ALERTS_CFG.prefix + '-' + tp.topic;
const url = server + '/' + full;
return `<div class="alerts-topic ${tp.cls}">
<div class="name">${esc(t('alerts.t.' + tp.key))}</div>
<div class="desc">${esc(t('alerts.t.' + tp.key + '.d'))}</div>
<div class="row"><code>${esc(full)}</code> <a href="ntfy://${esc(host)}/${esc(full)}">${esc(t('alerts.subscribe'))}</a> · <a href="${esc(url)}" target="_blank" rel="noopener">web</a></div>
</div>`;
}).join('');
}
function esc(x) { return String(x).replace(/[&<>"']/g, c => ({'&':'&amp;','<':'&lt;','>':'&gt;','"':'&quot;',"'":'&#39;'}[c])); }
$('alerts-button').addEventListener('click', () => {
const p = $('alerts-panel');
const open = p.style.display === 'none';
p.style.display = open ? '' : 'none';
if (open) { renderAlertsPanel(); p.scrollIntoView({ behavior: 'smooth', block: 'start' }); }
});
$('alerts-close').addEventListener('click', () => { $('alerts-panel').style.display = 'none'; });
$('alerts-copy').addEventListener('click', async () => {
try {
await navigator.clipboard.writeText(ALERTS_CFG ? ALERTS_CFG.server : '');
$('alerts-copy').textContent = t('alerts.copied');
setTimeout(() => { $('alerts-copy').textContent = t('alerts.copy'); }, 1500);
} catch (e) { /* clipboard blocked */ }
});
function applyTranslations() { function applyTranslations() {
document.documentElement.lang = state.lang; document.documentElement.lang = state.lang;
document.querySelectorAll('[data-i18n]').forEach((el) => { document.querySelectorAll('[data-i18n]').forEach((el) => {
@@ -959,6 +1105,7 @@
function cssVar(name) { return getComputedStyle(document.documentElement).getPropertyValue(name).trim(); } function cssVar(name) { return getComputedStyle(document.documentElement).getPropertyValue(name).trim(); }
function setLang(lang) { function setLang(lang) {
setTimeout(renderAlertsPanel, 0);
state.lang = lang; state.lang = lang;
try { localStorage.setItem(LANG_KEY, lang); } catch (e) { /* private mode */ } try { localStorage.setItem(LANG_KEY, lang); } catch (e) { /* private mode */ }
applyTranslations(); applyTranslations();
@@ -2052,6 +2199,7 @@
: t('forecast.expand', stations.length); : t('forecast.expand', stations.length);
card.style.display = 'block'; card.style.display = 'block';
loadSkill(); // non-blocking; panel stays hidden until there is verified data loadSkill(); // non-blocking; panel stays hidden until there is verified data
loadAlertsConfig(); // shows the "Get alerts" button only when ntfy is configured
} catch (error) { } catch (error) {
card.style.display = 'none'; card.style.display = 'none';
} }
+84
View File
@@ -175,6 +175,37 @@ async def lifespan(app: FastAPI):
app_state["forecast_store"] = None app_state["forecast_store"] = None
logger.error(f"Forecast history store init failed: {e}") logger.error(f"Forecast history store init failed: {e}")
# Public flood notifications over ntfy (leader only, transitions only).
# Off unless NTFY_SERVER is set; then state lives in notification_state
# next to the measurements so a restart never re-sends.
app_state["notify"] = None
if Config.NTFY_SERVER:
try:
from . import notify as notify_mod
store = app_state.get("forecast_store")
if store and not store.engine:
store.connect()
state = (
notify_mod.NotificationState(store.engine, store.db_type)
if store and store.engine
else notify_mod.InMemoryState()
)
app_state["notify"] = (
notify_mod.NtfyPublisher(
Config.NTFY_SERVER,
prefix=Config.NTFY_TOPIC_PREFIX,
token=Config.NTFY_TOKEN or None,
dashboard_url=Config.PUBLIC_URL,
),
state,
)
logger.info(
f"ntfy notifications: {Config.NTFY_SERVER} topics {Config.NTFY_TOPIC_PREFIX}-*"
)
except Exception as e:
logger.error(f"ntfy init failed (notifications off): {e}")
# Initialize HII/ThaiWater collector (rainfall + backup water level) # Initialize HII/ThaiWater collector (rainfall + backup water level)
try: try:
from .hii_collector import create_collector_from_config from .hii_collector import create_collector_from_config
@@ -296,6 +327,33 @@ async def _persist_rain():
logger.warning(f"rain persistence failed: {e}") logger.warning(f"rain persistence failed: {e}")
async def _notify_transitions():
"""Publish flood/outlook/feed transitions to ntfy (leader only, fail-safe)."""
cfg = app_state.get("notify")
if not cfg:
return
publisher, state = cfg
try:
from . import notify as notify_mod
scraper = app_state["scraper"]
readings = await asyncio.to_thread(
scraper.db_adapter.get_latest_measurements, 200
)
with FORECAST_CACHE_LOCK:
cached = FORECAST_CACHE.get("all")
forecasts = cached[1] if cached else []
sent = await asyncio.to_thread(
notify_mod.evaluate, readings, forecasts, state, publisher
)
if sent:
logger.info(
"ntfy: published " + ", ".join(f"{n.topic}: {n.title}" for n in sent)
)
except Exception as e:
logger.warning(f"ntfy notify cycle failed: {e}")
async def _precompute_forecasts(): async def _precompute_forecasts():
"""Refresh the forecast cache and persist the issued forecasts (leader only).""" """Refresh the forecast cache and persist the issued forecasts (leader only)."""
try: try:
@@ -402,6 +460,10 @@ async def background_scraping_task():
# evaluation. # evaluation.
await _precompute_forecasts() await _precompute_forecasts()
# Push notifications for threshold crossings (uses the
# forecasts just computed; no-op unless NTFY_SERVER set).
await _notify_transitions()
app_state["is_scraping"] = False app_state["is_scraping"] = False
# Calculate next run time # Calculate next run time
@@ -1230,6 +1292,28 @@ async def get_forecast_history(
return await asyncio.to_thread(store.fetch, station_code, start_dt, end_dt, horizon) return await asyncio.to_thread(store.fetch, station_code, start_dt, end_dt, horizon)
@app.get("/api/notifications")
async def get_notifications_config():
"""Public ntfy settings so the dashboard can offer subscribe links."""
server = Config.NTFY_SERVER
if not server:
return {"enabled": False}
prefix = Config.NTFY_TOPIC_PREFIX
return {
"enabled": True,
"server": server,
"prefix": prefix,
"topics": {
"warning": f"{prefix}-warning",
"danger": f"{prefix}-danger",
"p1_outlook": f"{prefix}-p1-outlook",
"status": f"{prefix}-status",
"station_pattern": f"{prefix}-<station>-warning | {prefix}-<station>-danger (station code lowercase, no dot: p1, p103)",
},
"semantics": "transitions only: one message on crossing up, one all-clear on the way down (0.10 m hysteresis)",
}
@app.get("/api/forecast/skill") @app.get("/api/forecast/skill")
async def get_forecast_skill( async def get_forecast_skill(
response: Response, response: Response,
+218
View File
@@ -0,0 +1,218 @@
"""ntfy notification state machine: transitions only, hysteresis, restart-safe."""
import datetime
import pytest
from src import notify
class FakePublisher(notify.NtfyPublisher):
def __init__(self):
super().__init__("http://ntfy.test", prefix="ping")
self.sent = []
def publish(self, n):
self.sent.append(n)
return True
@pytest.fixture
def pub():
return FakePublisher()
def _reading(code, level, ts="2026-09-24T12:00:00"):
return {"station_code": code, "water_level": level, "timestamp": ts}
def _fc(p, peak=None):
return [
{
"station_code": "P.1",
"horizon_hours": 24,
"p_warning": p,
"predicted_max_level": peak,
"source": "model",
}
]
NOW = datetime.datetime(2026, 9, 24, 12, 30)
def topics(pub):
return [n.topic for n in pub.sent]
def test_quiet_river_sends_nothing(pub):
state = notify.InMemoryState()
for h in range(48):
notify.evaluate(
[_reading("P.1", 1.6), _reading("P.103", 3.2)],
_fc(0.01),
state,
pub,
now=NOW,
)
assert pub.sent == []
def test_warning_crossing_once_then_silence_then_clear(pub):
state = notify.InMemoryState()
# rising through 3.70 (P.1 warning)
notify.evaluate([_reading("P.1", 3.65)], [], state, pub, now=NOW)
assert pub.sent == []
notify.evaluate([_reading("P.1", 3.72)], [], state, pub, now=NOW)
assert topics(pub) == ["ping-p1-warning", "ping-warning"]
assert pub.sent[0].priority == 4 and "3.72 m" in pub.sent[0].message
# stays above: no repeats for many hours
for level in (3.80, 3.95, 4.05, 3.90, 3.75):
notify.evaluate([_reading("P.1", level)], [], state, pub, now=NOW)
assert len(pub.sent) == 2
# dips to 3.65: within hysteresis, still no message
notify.evaluate([_reading("P.1", 3.65)], [], state, pub, now=NOW)
assert len(pub.sent) == 2
# 3.55: clear
notify.evaluate([_reading("P.1", 3.55)], [], state, pub, now=NOW)
assert topics(pub)[2:] == ["ping-p1-warning", "ping-warning"]
assert "back to normal" in pub.sent[2].title
def test_danger_escalation_and_deescalation(pub):
state = notify.InMemoryState()
notify.evaluate([_reading("P.1", 3.9)], [], state, pub, now=NOW) # warning
notify.evaluate(
[_reading("P.1", 4.25)], [], state, pub, now=NOW
) # danger (>= 4.20)
assert topics(pub) == [
"ping-p1-warning",
"ping-warning",
"ping-p1-danger",
"ping-danger",
]
assert pub.sent[2].priority == 5
notify.evaluate(
[_reading("P.1", 4.15)], [], state, pub, now=NOW
) # hysteresis: still danger
assert len(pub.sent) == 4
notify.evaluate([_reading("P.1", 4.05)], [], state, pub, now=NOW) # back to warning
assert topics(pub)[4:] == ["ping-p1-danger", "ping-warning"]
assert "below danger" in pub.sent[4].title
def test_jump_straight_to_danger(pub):
state = notify.InMemoryState()
notify.evaluate(
[_reading("P.103", 7.0)], [], state, pub, now=NOW
) # P.103 danger 6.75
assert topics(pub) == ["ping-p103-danger", "ping-danger"]
def test_basin_digest_groups_stations(pub):
state = notify.InMemoryState()
notify.evaluate(
[_reading("P.1", 3.8), _reading("P.103", 6.0), _reading("P.67", 1.0)],
[],
state,
pub,
now=NOW,
)
basin = [n for n in pub.sent if n.topic == "ping-warning"]
assert len(basin) == 1 and "P.1" in basin[0].message and "P.103" in basin[0].message
def test_outlook_on_off_with_hysteresis(pub):
state = notify.InMemoryState()
r = [_reading("P.1", 2.9)]
notify.evaluate(r, _fc(0.30), state, pub, now=NOW)
assert pub.sent == []
notify.evaluate(r, _fc(0.55, 3.9), state, pub, now=NOW)
assert topics(pub) == ["ping-p1-outlook"]
assert "55%" in pub.sent[0].message and "3.90 m" in pub.sent[0].message
assert "not an official warning" in pub.sent[0].message
notify.evaluate(
r, _fc(0.40), state, pub, now=NOW
) # between OFF and ON: stays on, silent
assert len(pub.sent) == 1
notify.evaluate(r, _fc(0.20), state, pub, now=NOW)
assert len(pub.sent) == 2 and "easing" in pub.sent[1].title
def test_heuristic_forecast_ignored(pub):
state = notify.InMemoryState()
fc = [
{
"station_code": "P.1",
"horizon_hours": 24,
"p_warning": 0.9,
"source": "heuristic",
}
]
notify.evaluate([_reading("P.1", 2.0)], fc, state, pub, now=NOW)
assert pub.sent == []
def test_stale_feed_and_recovery(pub):
state = notify.InMemoryState()
notify.evaluate(
[_reading("P.1", 1.6, "2026-09-24T12:00:00")], [], state, pub, now=NOW
)
assert pub.sent == []
later = NOW + datetime.timedelta(hours=4)
notify.evaluate(
[_reading("P.1", 1.6, "2026-09-24T12:00:00")], [], state, pub, now=later
)
assert topics(pub) == ["ping-status"] and "stale" in pub.sent[0].title
notify.evaluate(
[_reading("P.1", 1.6, "2026-09-24T12:00:00")],
[],
state,
pub,
now=later + datetime.timedelta(hours=1),
)
assert len(pub.sent) == 1 # still stale, no repeat
notify.evaluate(
[_reading("P.1", 1.6, "2026-09-24T17:00:00")],
[],
state,
pub,
now=later + datetime.timedelta(hours=1),
)
assert len(pub.sent) == 2 and "recovered" in pub.sent[1].title
def test_state_survives_restart_via_sql(tmp_path, pub):
from sqlalchemy import create_engine
eng = create_engine(f"sqlite:///{tmp_path / 'n.db'}")
state = notify.NotificationState(eng, "sqlite")
notify.evaluate([_reading("P.1", 3.8)], [], state, pub, now=NOW)
assert len(pub.sent) == 2
# "restart": new state object on the same DB, same reading -> nothing re-sent
state2 = notify.NotificationState(eng, "sqlite")
notify.evaluate([_reading("P.1", 3.8)], [], state2, pub, now=NOW)
assert len(pub.sent) == 2
def test_publish_failure_does_not_advance_state():
"""If ntfy is down the transition must be retried next cycle, not lost."""
class Down(notify.NtfyPublisher):
def __init__(self):
super().__init__("http://ntfy.test")
self.calls = 0
def publish(self, n):
self.calls += 1
return False
pub = Down()
state = notify.InMemoryState()
notify.evaluate([_reading("P.1", 3.8)], [], state, pub, now=NOW)
assert pub.calls == 2 and state.get("level:P.1") is None
# next cycle, ntfy back: the crossing is delivered
good = FakePublisher()
notify.evaluate([_reading("P.1", 3.8)], [], state, good, now=NOW)
assert topics(good) == ["ping-p1-warning", "ping-warning"]
assert state.get("level:P.1") == "warning"