Phase 24: remote trip + dashcam portal
- Add Flask-Login browser session auth (separate from device X-Api-Key auth)
- modules/user_auth.py: User model, require_login decorator, bcrypt helpers
- /login with CSRF token, /logout
- scripts/create_user.py to provision admin user
- Add server-side trip computation from tracking_points
- db.compute_trips_for_device(): gap > 5 min = new trip, haversine distance,
upserts into trips table, auto-triggered in bg thread after each upload batch
- db.list_trips(), db.get_trip_route(): same JSON shape as Pi API
- db.get_overview_stats(): aggregated totals for overview page
- db.list_dashcam_files(), db.get_dashcam_file(): browse/stream helpers
- Add web portal to server/app.py
- Overview page (/): stat cards + recent trips + recent clips
- Trip history (/history): reuses Pi history.js + data-list.js unchanged
via /api/trips + /api/trip/<id> compatibility aliases
- Dashcam archive (/dashcam): file list + inline video player
- /api/v1/portal/dashcam/stream/<id>: Range-request streaming, path traversal guard
- /api/geocode: same Nominatim→reverse_geocoder offline fallback as Pi
- Add server templates (server/templates/)
- base.html: shared shell with 'Remote server' badge in sidebar + mobile topbar
- login.html, index.html, history.html, dashcam.html, components.html
- DB schema: users + trips tables added to init.sql (fresh deploys) +
migrate_phase24.sql (existing deployments)
- Infrastructure: Dockerfile uses repo-root build context to copy shared
static/ assets; docker-compose updated; SECRET_KEY + DEVICE_NAME in .env;
requirements: Flask-Login, bcrypt, reverse_geocoder
Co-authored-by: Copilot <[email protected]>
This commit is contained in:
Mathieu Moran
@@ -106,3 +106,268 @@ def insert_dashcam_file(device_id, relative_path, size_bytes, sha256, storage_pa
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""",
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(device_id, relative_path, size_bytes, sha256, storage_path),
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)
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# ── User auth ──────────────────────────────────────────────────────────────
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def get_user_by_id(user_id):
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with get_cursor() as cur:
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cur.execute("SELECT id, username, password_hash FROM users WHERE id = %s", (user_id,))
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row = cur.fetchone()
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return {"id": row[0], "username": row[1], "password_hash": row[2]} if row else None
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def get_user_by_username(username):
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with get_cursor() as cur:
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cur.execute("SELECT id, username, password_hash FROM users WHERE username = %s", (username,))
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row = cur.fetchone()
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return {"id": row[0], "username": row[1], "password_hash": row[2]} if row else None
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def create_user(username, password_hash):
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with get_cursor(commit=True) as cur:
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cur.execute(
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"INSERT INTO users (username, password_hash) VALUES (%s, %s) ON CONFLICT (username) DO NOTHING RETURNING id",
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(username, password_hash),
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)
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row = cur.fetchone()
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return row[0] if row else None
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# ── Server-side trips ──────────────────────────────────────────────────────
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# Gap threshold: if two consecutive points are more than this many seconds
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# apart, they belong to different trips.
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_TRIP_GAP_S = 300 # 5 minutes
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def compute_trips_for_device(device_id):
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"""Recompute trip boundaries from tracking_points and upsert into trips table."""
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with get_cursor() as cur:
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cur.execute(
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"""
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SELECT recorded_at, gps_lat, gps_lon, speed
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FROM tracking_points
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WHERE device_id = %s AND gps_lat IS NOT NULL AND gps_lon IS NOT NULL
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ORDER BY recorded_at ASC
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""",
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(device_id,),
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)
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rows = cur.fetchall()
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if not rows:
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return 0
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import math
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def haversine(lat1, lon1, lat2, lon2):
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R = 6371.0
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dlat = math.radians(lat2 - lat1)
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dlon = math.radians(lon2 - lon1)
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a = math.sin(dlat/2)**2 + math.cos(math.radians(lat1)) * math.cos(math.radians(lat2)) * math.sin(dlon/2)**2
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return R * 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
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# Split into segments by gap
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segments = []
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current = [rows[0]]
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for prev, curr in zip(rows, rows[1:]):
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gap = (curr[0] - prev[0]).total_seconds()
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if gap > _TRIP_GAP_S:
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segments.append(current)
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current = [curr]
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else:
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current.append(curr)
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segments.append(current)
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# Build trip records
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trips = []
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for seg in segments:
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if len(seg) < 2:
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continue
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start_time = seg[0][0]
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end_time = seg[-1][0]
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duration_s = int((end_time - start_time).total_seconds())
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if duration_s < 30:
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continue
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dist = sum(
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haversine(seg[i][1], seg[i][2], seg[i+1][1], seg[i+1][2])
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for i in range(len(seg) - 1)
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)
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if dist < 0.05: # skip <50m blips
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continue
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speeds = [r[3] for r in seg if r[3] is not None]
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trips.append({
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"start_time": start_time,
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"end_time": end_time,
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"distance_km": round(dist, 3),
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"duration_s": duration_s,
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"avg_speed_kmh": round(sum(speeds) / len(speeds), 1) if speeds else None,
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"max_speed_kmh": round(max(speeds), 1) if speeds else None,
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"start_lat": seg[0][1],
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"start_lon": seg[0][2],
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"end_lat": seg[-1][1],
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"end_lon": seg[-1][2],
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"point_count": len(seg),
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})
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with get_cursor(commit=True) as cur:
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for t in trips:
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cur.execute(
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"""
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INSERT INTO trips (device_id, start_time, end_time, distance_km, duration_s,
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avg_speed_kmh, max_speed_kmh, start_lat, start_lon, end_lat, end_lon,
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point_count, computed_at)
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VALUES (%(device_id)s, %(start_time)s, %(end_time)s, %(distance_km)s, %(duration_s)s,
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%(avg_speed_kmh)s, %(max_speed_kmh)s, %(start_lat)s, %(start_lon)s,
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%(end_lat)s, %(end_lon)s, %(point_count)s, now())
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ON CONFLICT (device_id, start_time) DO UPDATE SET
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end_time = EXCLUDED.end_time,
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distance_km = EXCLUDED.distance_km,
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duration_s = EXCLUDED.duration_s,
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avg_speed_kmh = EXCLUDED.avg_speed_kmh,
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max_speed_kmh = EXCLUDED.max_speed_kmh,
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end_lat = EXCLUDED.end_lat,
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end_lon = EXCLUDED.end_lon,
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point_count = EXCLUDED.point_count,
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computed_at = now()
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""",
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{"device_id": device_id, **t},
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)
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return len(trips)
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def list_trips(device_id, limit=200):
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with get_cursor() as cur:
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cur.execute(
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"""
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SELECT id, start_time, end_time, distance_km, duration_s,
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avg_speed_kmh, max_speed_kmh, start_lat, start_lon,
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end_lat, end_lon, point_count
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FROM trips
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WHERE device_id = %s
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ORDER BY start_time DESC
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LIMIT %s
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""",
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(device_id, limit),
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)
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rows = cur.fetchall()
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return [
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{
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"id": r[0],
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"start_datetime": r[1].isoformat(),
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"end_datetime": r[2].isoformat(),
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"distance_km": r[3],
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"duration_seconds": r[4],
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"average_speed_kmh": r[5],
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"max_speed_kmh": r[6],
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"start_lat": r[7],
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"start_lon": r[8],
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"end_lat": r[9],
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"end_lon": r[10],
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"point_count": r[11],
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"odo_start_km": None,
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"odo_end_km": None,
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}
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for r in rows
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]
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def get_trip_route(device_id, trip_id):
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with get_cursor() as cur:
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cur.execute(
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"SELECT start_time, end_time, distance_km, duration_s, avg_speed_kmh, max_speed_kmh FROM trips WHERE id = %s AND device_id = %s",
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(trip_id, device_id),
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)
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trip_row = cur.fetchone()
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if trip_row is None:
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return None
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cur.execute(
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"""
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SELECT recorded_at, gps_lat, gps_lon, speed
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FROM tracking_points
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WHERE device_id = %s AND recorded_at BETWEEN %s AND %s
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AND gps_lat IS NOT NULL AND gps_lon IS NOT NULL
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ORDER BY recorded_at ASC
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""",
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(device_id, trip_row[0], trip_row[1]),
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)
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points = cur.fetchall()
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return {
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"trip": {
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"distance_km": trip_row[2],
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"duration_seconds": trip_row[3],
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"average_speed_kmh": trip_row[4],
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"max_speed_kmh": trip_row[5],
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},
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"points": [
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{
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"datetime": p[0].isoformat(),
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"latitude": p[1],
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"longitude": p[2],
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"speed": p[3] or 0,
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"speed_source": "gps",
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}
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for p in points
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],
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}
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def list_dashcam_files(device_id, limit=500):
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with get_cursor() as cur:
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cur.execute(
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"""
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SELECT id, relative_path, size_bytes, uploaded_at, storage_path
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FROM dashcam_files
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WHERE device_id = %s
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ORDER BY uploaded_at DESC
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LIMIT %s
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""",
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(device_id, limit),
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)
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rows = cur.fetchall()
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return [
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{
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"id": r[0],
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"relative_path": r[1],
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"size_bytes": r[2],
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"uploaded_at": r[3].isoformat(),
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"storage_path": r[4],
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}
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for r in rows
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]
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def get_dashcam_file(device_id, file_id):
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with get_cursor() as cur:
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cur.execute(
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"SELECT id, relative_path, size_bytes, uploaded_at, storage_path FROM dashcam_files WHERE id = %s AND device_id = %s",
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(file_id, device_id),
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)
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r = cur.fetchone()
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if r is None:
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return None
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return {"id": r[0], "relative_path": r[1], "size_bytes": r[2], "uploaded_at": r[3].isoformat(), "storage_path": r[4]}
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def get_overview_stats(device_id):
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with get_cursor() as cur:
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cur.execute(
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"""
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SELECT
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(SELECT COUNT(*) FROM trips WHERE device_id = %s) AS trip_count,
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(SELECT COALESCE(SUM(distance_km), 0) FROM trips WHERE device_id = %s) AS total_km,
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(SELECT COALESCE(SUM(duration_s), 0) FROM trips WHERE device_id = %s) AS total_s,
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(SELECT COALESCE(MAX(max_speed_kmh), 0) FROM trips WHERE device_id = %s) AS top_speed,
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(SELECT COUNT(*) FROM dashcam_files WHERE device_id = %s) AS video_count,
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(SELECT COALESCE(MAX(odometer), 0) FROM tracking_points WHERE device_id = %s) AS odometer_km
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""",
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(device_id,) * 6,
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)
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r = cur.fetchone()
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return {
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"trip_count": r[0],
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"total_distance_km": float(r[1]),
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"total_drive_time_s": int(r[2]),
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"top_speed_kmh": float(r[3]),
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"video_count": r[4],
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"odometer_km": float(r[5]),
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}
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