feat: implement StaySense MVP backend, frontend, imports, and deployment docs

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Oliver 2026-02-15 13:08:56 +01:00
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import datetime as dt
import hashlib
import hmac
import json
import os
import uuid
from http import HTTPStatus
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
from urllib.parse import parse_qs, urlparse
from db import get_conn, init_db
from score_engine import (
ampel,
clamp_score,
classify_area,
classify_road,
decay,
haversine_m,
nearest_distance_m,
night_window_for,
score_area_modifier,
spot_id_for,
weekend_or_holiday,
)
HOST = "127.0.0.1"
PORT = 8787
DEFAULT_SALT = "change-me-in-production"
SERVER_SALT = os.environ.get("STAYSENSE_SERVER_SALT", DEFAULT_SALT)
SIGNAL_COOLDOWN_HOURS = int(os.environ.get("STAYSENSE_SIGNAL_COOLDOWN_HOURS", "24"))
FALLBACK_POLICE_POINTS = [(51.2507, 6.9751), (51.2965, 6.8494), (51.3398, 7.0438)]
FALLBACK_FIRE_POINTS = [(51.2518, 6.9800), (51.2937, 6.8568), (51.3314, 7.0540)]
FALLBACK_HOSPITAL_POINTS = [(51.2556, 6.9723), (51.2891, 6.8457), (51.3321, 7.0403)]
def utc_now() -> dt.datetime:
return dt.datetime.now(dt.timezone.utc)
def parse_iso8601(value: str | None) -> dt.datetime:
if not value:
return utc_now()
parsed = dt.datetime.fromisoformat(value.replace("Z", "+00:00"))
if parsed.tzinfo is None:
return parsed.replace(tzinfo=dt.timezone.utc)
return parsed.astimezone(dt.timezone.utc)
def to_iso(value: dt.datetime) -> str:
return value.astimezone(dt.timezone.utc).replace(microsecond=0).isoformat().replace("+00:00", "Z")
def json_response(handler: BaseHTTPRequestHandler, status: int, payload: dict) -> None:
raw = json.dumps(payload, ensure_ascii=True).encode("utf-8")
handler.send_response(status)
handler.send_header("Content-Type", "application/json; charset=utf-8")
handler.send_header("Content-Length", str(len(raw)))
handler.send_header("Cache-Control", "no-store")
handler.end_headers()
handler.wfile.write(raw)
def read_json(handler: BaseHTTPRequestHandler) -> dict:
length = int(handler.headers.get("Content-Length", "0"))
if length <= 0:
return {}
body = handler.rfile.read(length)
return json.loads(body.decode("utf-8"))
def hashed_device(device_token: str) -> str:
return hmac.new(
key=SERVER_SALT.encode("utf-8"),
msg=device_token.encode("utf-8"),
digestmod=hashlib.sha256,
).hexdigest()
def fetch_points(sql: str, params: tuple) -> list[tuple[float, float]]:
with get_conn() as conn:
rows = conn.execute(sql, params).fetchall()
return [(float(r["lat"]), float(r["lon"])) for r in rows]
def nearest_from_db(
lat: float, lon: float, table: str, type_col: str, value: str, fallback_points: list[tuple[float, float]]
) -> tuple[int, bool]:
rows = fetch_points(
f"SELECT lat, lon FROM {table} WHERE {type_col} = ?",
(value,),
)
if rows:
return int(min(haversine_m(lat, lon, x, y) for x, y in rows)), False
if fallback_points:
return nearest_distance_m(lat, lon, fallback_points), True
return 5000, True
def area_from_db(lat: float, lon: float) -> str:
with get_conn() as conn:
rows = conn.execute("SELECT zone_type, lat, lon FROM osm_zone").fetchall()
if not rows:
return classify_area(lat, lon)
best_type = "residential"
best_dist = 999999.0
for row in rows:
dist = haversine_m(lat, lon, float(row["lat"]), float(row["lon"]))
if dist < best_dist:
best_dist = dist
best_type = row["zone_type"]
return best_type if best_dist <= 500 else "residential"
def road_from_db(lat: float, lon: float) -> str:
with get_conn() as conn:
rows = conn.execute("SELECT road_type, lat, lon FROM osm_road").fetchall()
if not rows:
return classify_road(lat, lon)
best_type = "unknown"
best_dist = 999999.0
for row in rows:
dist = haversine_m(lat, lon, float(row["lat"]), float(row["lon"]))
if dist < best_dist:
best_dist = dist
best_type = row["road_type"]
return best_type if best_dist <= 300 else "unknown"
def ensure_spot(lat: float, lon: float, now_iso: str) -> dict:
s_id = spot_id_for(lat, lon)
with get_conn() as conn:
row = conn.execute("SELECT * FROM spot WHERE id = ?", (s_id,)).fetchone()
if row:
return dict(row)
area_type = area_from_db(lat, lon)
road_type = road_from_db(lat, lon)
police_d, police_fallback = nearest_from_db(lat, lon, "osm_poi", "poi_type", "police", FALLBACK_POLICE_POINTS)
fire_d, fire_fallback = nearest_from_db(lat, lon, "osm_poi", "poi_type", "fire", FALLBACK_FIRE_POINTS)
hosp_d, hosp_fallback = nearest_from_db(lat, lon, "osm_poi", "poi_type", "hospital", FALLBACK_HOSPITAL_POINTS)
conn.execute(
"""
INSERT INTO spot (
id, lat, lon, osm_area_type, road_type,
distance_police_m, distance_fire_m, distance_hospital_m,
created_at, updated_at
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
""",
(s_id, lat, lon, area_type, road_type, police_d, fire_d, hosp_d, now_iso, now_iso),
)
return {
"id": s_id,
"lat": lat,
"lon": lon,
"osm_area_type": area_type,
"road_type": road_type,
"distance_police_m": police_d,
"distance_fire_m": fire_d,
"distance_hospital_m": hosp_d,
"used_fallback_pois": police_fallback or fire_fallback or hosp_fallback,
}
def collect_local_event_factors(lat: float, lon: float, night_end: dt.datetime) -> list[dict]:
next_morning_start = night_end
next_morning_end = night_end + dt.timedelta(hours=4)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT event_type, risk_modifier, source, lat, lon, start_datetime, end_datetime
FROM open_data_event
WHERE start_datetime <= ?
AND end_datetime >= ?
""",
(to_iso(next_morning_end), to_iso(next_morning_start)),
).fetchall()
factors = []
seen = set()
for row in rows:
distance = haversine_m(lat, lon, float(row["lat"]), float(row["lon"]))
if distance > 1000:
continue
event_type = row["event_type"]
label = {
"waste": "Muellabfuhr am Morgen",
"market": "Marktbetrieb am Morgen",
"event": "Lokale Veranstaltung",
"construction": "Baustelle",
}.get(event_type, "Lokales Ereignis")
dedupe_key = (
event_type,
row["risk_modifier"],
row["start_datetime"] if "start_datetime" in row.keys() else "",
row["end_datetime"] if "end_datetime" in row.keys() else "",
round(float(row["lat"]), 4),
round(float(row["lon"]), 4),
)
if dedupe_key in seen:
continue
seen.add(dedupe_key)
factors.append(
{
"key": f"event_{event_type}",
"label": label,
"points": float(row["risk_modifier"]),
"source": row["source"],
}
)
return factors
def collect_community_factors(spot_id: str, at_time: dt.datetime) -> list[dict]:
max_window = at_time - dt.timedelta(days=30)
with get_conn() as conn:
rows = conn.execute(
"""
SELECT signal_type, timestamp
FROM community_signal
WHERE spot_id = ?
AND timestamp >= ?
""",
(spot_id, to_iso(max_window)),
).fetchall()
buckets = {
"knock": {"base": -25.0, "half_life": 10.0, "window": 30, "label": "Klopfen gemeldet"},
"noise": {"base": -15.0, "half_life": 7.0, "window": 14, "label": "Laerm gemeldet"},
"calm": {"base": 10.0, "half_life": 7.0, "window": 14, "label": "Ruhig gemeldet"},
"police": {"base": -18.0, "half_life": 10.0, "window": 30, "label": "Polizei-Einsatz gemeldet"},
}
by_type: dict[str, float] = {key: 0.0 for key in buckets}
for row in rows:
signal_type = row["signal_type"]
if signal_type not in buckets:
continue
cfg = buckets[signal_type]
sig_ts = parse_iso8601(row["timestamp"])
age_days = max(0.0, (at_time - sig_ts).total_seconds() / 86400.0)
if age_days > cfg["window"]:
continue
by_type[signal_type] += cfg["base"] * decay(age_days, cfg["half_life"])
out = []
for signal_type, points in by_type.items():
if abs(points) < 0.5:
continue
label = buckets[signal_type]["label"]
out.append(
{
"key": f"community_{signal_type}",
"label": label,
"points": points,
"source": "community",
}
)
return out
def data_source_meta() -> list[dict]:
with get_conn() as conn:
rows = conn.execute(
"SELECT source_name, imported_at, record_count, notes FROM data_source_state ORDER BY imported_at DESC"
).fetchall()
return [dict(row) for row in rows]
def source_health(sources: list[dict], now: dt.datetime) -> dict:
if not sources:
return {"freshest_age_hours": None, "stalest_age_hours": None, "stale_sources": [], "has_data": False}
ages = []
stale_sources = []
for src in sources:
try:
age_h = (now - parse_iso8601(src["imported_at"])).total_seconds() / 3600.0
except Exception:
continue
age_h = max(0.0, age_h)
ages.append((src["source_name"], age_h))
if age_h > 24:
stale_sources.append(src["source_name"])
if not ages:
return {"freshest_age_hours": None, "stalest_age_hours": None, "stale_sources": [], "has_data": False}
freshest = min(age for _, age in ages)
stalest = max(age for _, age in ages)
return {
"freshest_age_hours": round(freshest, 2),
"stalest_age_hours": round(stalest, 2),
"stale_sources": stale_sources,
"has_data": True,
}
def compute_score_payload(lat: float, lon: float, at_time: dt.datetime) -> dict:
now_iso = to_iso(utc_now())
spot = ensure_spot(lat, lon, now_iso)
sources = data_source_meta()
health = source_health(sources, utc_now())
night_start, night_end = night_window_for(at_time)
factors = []
area_factor = score_area_modifier(spot["osm_area_type"])
factors.append({"key": area_factor.key, "label": area_factor.label, "points": area_factor.points, "source": "osm"})
if spot["distance_police_m"] < 200:
factors.append({"key": "dist_police", "label": "Polizei in <200m", "points": -15.0, "source": "osm"})
if spot["distance_hospital_m"] < 200:
factors.append({"key": "dist_hospital", "label": "Krankenhaus in <200m", "points": -10.0, "source": "osm"})
if weekend_or_holiday(night_start):
factors.append({"key": "time_weekend", "label": "Wochenende/Feiertag", "points": -10.0, "source": "time"})
else:
factors.append({"key": "time_weekday", "label": "Werktagnacht", "points": 5.0, "source": "time"})
factors.extend(collect_local_event_factors(lat, lon, night_end))
factors.extend(collect_community_factors(spot["id"], at_time))
raw_score = 100.0 + sum(item["points"] for item in factors)
score = clamp_score(raw_score)
top_reasons = sorted(factors, key=lambda item: abs(item["points"]), reverse=True)[:4]
reasons = [f"{item['label']} ({item['points']:+.0f})" for item in top_reasons]
return {
"spot_id": spot["id"],
"score": score,
"ampel": ampel(score),
"reasons": reasons,
"factors": top_reasons,
"night_window": {
"start": to_iso(night_start),
"end": to_iso(night_end),
},
"meta": {
"data_updated_at": now_iso,
"region": "DE-NW (Pilot: Kreis Mettmann)",
"attribution": "Kartendaten: OpenStreetMap-Mitwirkende (ODbL)",
"sources": sources,
"health": health,
"used_fallback_pois": bool(spot.get("used_fallback_pois", False)),
},
}
def handle_score(handler: BaseHTTPRequestHandler, query: dict[str, list[str]]) -> None:
try:
lat = float(query.get("lat", [""])[0])
lon = float(query.get("lon", [""])[0])
at = parse_iso8601(query.get("at", [""])[0])
except Exception:
json_response(handler, HTTPStatus.BAD_REQUEST, {"error": "invalid_query"})
return
if not (47.0 <= lat <= 55.5 and 5.0 <= lon <= 16.0):
json_response(handler, HTTPStatus.BAD_REQUEST, {"error": "lat_lon_out_of_bounds"})
return
payload = compute_score_payload(lat, lon, at)
json_response(handler, HTTPStatus.OK, payload)
def handle_signal(handler: BaseHTTPRequestHandler) -> None:
try:
body = read_json(handler)
except Exception:
json_response(handler, HTTPStatus.BAD_REQUEST, {"error": "invalid_json"})
return
spot_id = body.get("spot_id")
signal_type = body.get("signal_type")
device_token = body.get("device_token")
timestamp = parse_iso8601(body.get("timestamp"))
if not isinstance(spot_id, str) or not spot_id:
json_response(handler, HTTPStatus.BAD_REQUEST, {"error": "spot_id_required"})
return
if signal_type not in {"calm", "noise", "knock", "police"}:
json_response(handler, HTTPStatus.BAD_REQUEST, {"error": "invalid_signal_type"})
return
if not isinstance(device_token, str) or len(device_token) < 16:
json_response(handler, HTTPStatus.BAD_REQUEST, {"error": "invalid_device_token"})
return
hashed = hashed_device(device_token)
now = utc_now()
if timestamp > now + dt.timedelta(minutes=5):
timestamp = now
cooldown_start = timestamp - dt.timedelta(hours=SIGNAL_COOLDOWN_HOURS)
with get_conn() as conn:
spot_exists = conn.execute("SELECT 1 FROM spot WHERE id = ?", (spot_id,)).fetchone()
if not spot_exists:
json_response(handler, HTTPStatus.BAD_REQUEST, {"error": "unknown_spot_id"})
return
latest = conn.execute(
"""
SELECT timestamp
FROM community_signal
WHERE spot_id = ?
AND hashed_device = ?
AND timestamp >= ?
ORDER BY timestamp DESC
LIMIT 1
""",
(spot_id, hashed, to_iso(cooldown_start)),
).fetchone()
if latest:
next_allowed = parse_iso8601(latest["timestamp"]) + dt.timedelta(hours=SIGNAL_COOLDOWN_HOURS)
json_response(
handler,
HTTPStatus.TOO_MANY_REQUESTS,
{
"accepted": False,
"error": "cooldown_active",
"next_allowed_at": to_iso(next_allowed),
},
)
return
day_bucket = timestamp.date().isoformat()
try:
conn.execute(
"""
INSERT INTO community_signal (
id, spot_id, signal_type, hashed_device, timestamp, day_bucket
) VALUES (?, ?, ?, ?, ?, ?)
""",
(
str(uuid.uuid4()),
spot_id,
signal_type,
hashed,
to_iso(timestamp),
day_bucket,
),
)
except Exception:
json_response(
handler,
HTTPStatus.TOO_MANY_REQUESTS,
{
"accepted": False,
"error": "daily_limit",
},
)
return
json_response(
handler,
HTTPStatus.CREATED,
{
"accepted": True,
"cooldown_hours": SIGNAL_COOLDOWN_HOURS,
},
)
class StaySenseHandler(BaseHTTPRequestHandler):
def log_message(self, format: str, *args) -> None:
return
def do_GET(self) -> None:
parsed = urlparse(self.path)
if parsed.path == "/health":
sources = data_source_meta()
json_response(self, HTTPStatus.OK, {"status": "ok", "sources": sources, "health": source_health(sources, utc_now())})
return
if parsed.path == "/spot/score":
query = parse_qs(parsed.query)
handle_score(self, query)
return
json_response(self, HTTPStatus.NOT_FOUND, {"error": "not_found"})
def do_POST(self) -> None:
parsed = urlparse(self.path)
if parsed.path == "/spot/signal":
handle_signal(self)
return
json_response(self, HTTPStatus.NOT_FOUND, {"error": "not_found"})
def main() -> None:
init_db()
server = ThreadingHTTPServer((HOST, PORT), StaySenseHandler)
print(f"StaySense API listening on http://{HOST}:{PORT}")
server.serve_forever()
if __name__ == "__main__":
main()