mirror of
https://github.com/BigBodyCobain/Shadowbroker.git
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v0.9.0: in-app auto-updater, ship toggle split, stable entity IDs, performance fixes
New features: - In-app auto-updater with confirmation dialog, manual download fallback, restart polling, and protected file safety net - Ship layers split into 4 independent toggles (Military/Carriers, Cargo/Tankers, Civilian, Cruise/Passenger) with per-category counts - Stable entity IDs using MMSI/callsign instead of volatile array indices - Dismissible threat alert bubbles (session-scoped, survives data refresh) Performance: - GDELT title fetching is now non-blocking (background enrichment) - Removed duplicate startup fetch jobs - Docker healthcheck start_period 15s → 90s Bug fixes: - Removed fake intelligence assessment generator (OSINT-only policy) - Fixed carrier tracker GDELT 429/TypeError crash - Fixed ETag collision (full payload hash) - Added concurrent /api/refresh guard Contributors: @imqdcr (ship split + stable IDs), @csysp (dismissible alerts, PR #48) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> Former-commit-id: a2c4c67da54345393f70a9b33b52e7e4fd6c049f
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anoracleofra-codeandClaude Opus 4.6 committed
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Whitespace-only changes.
@@ -0,0 +1,46 @@
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"""Shared in-memory data store for all fetcher modules.
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Central location for latest_data, source_timestamps, and the data lock.
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Every fetcher imports from here instead of maintaining its own copy.
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"""
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import threading
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import logging
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from datetime import datetime
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logger = logging.getLogger("services.data_fetcher")
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# In-memory store
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latest_data = {
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"last_updated": None,
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"news": [],
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"stocks": {},
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"oil": {},
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"flights": [],
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"ships": [],
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"military_flights": [],
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"tracked_flights": [],
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"cctv": [],
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"weather": None,
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"earthquakes": [],
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"uavs": [],
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"frontlines": None,
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"gdelt": [],
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"liveuamap": [],
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"kiwisdr": [],
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"space_weather": None,
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"internet_outages": [],
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"firms_fires": [],
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"datacenters": []
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}
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# Per-source freshness timestamps
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source_timestamps = {}
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def _mark_fresh(*keys):
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"""Record the current UTC time for one or more data source keys."""
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now = datetime.utcnow().isoformat()
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for k in keys:
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source_timestamps[k] = now
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# Thread lock for safe reads/writes to latest_data
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_data_lock = threading.Lock()
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@@ -0,0 +1,721 @@
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"""Commercial flight fetching — ADS-B, OpenSky, supplemental sources, routes,
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trail accumulation, GPS jamming detection, and holding pattern detection."""
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import re
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import os
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import time
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import math
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import logging
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import threading
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import concurrent.futures
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import requests
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from datetime import datetime
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from cachetools import TTLCache
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from services.network_utils import fetch_with_curl
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from services.fetchers._store import latest_data, _data_lock, _mark_fresh
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from services.fetchers.plane_alert import enrich_with_plane_alert, enrich_with_tracked_names
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logger = logging.getLogger("services.data_fetcher")
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# Pre-compiled regex patterns for airline code extraction (used in hot loop)
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_RE_AIRLINE_CODE_1 = re.compile(r'^([A-Z]{3})\d')
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_RE_AIRLINE_CODE_2 = re.compile(r'^([A-Z]{3})[A-Z\d]')
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# ---------------------------------------------------------------------------
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# OpenSky Network API Client (OAuth2)
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# ---------------------------------------------------------------------------
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class OpenSkyClient:
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def __init__(self, client_id, client_secret):
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self.client_id = client_id
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self.client_secret = client_secret
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self.token = None
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self.expires_at = 0
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def get_token(self):
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if self.token and time.time() < self.expires_at - 60:
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return self.token
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url = "https://auth.opensky-network.org/auth/realms/opensky-network/protocol/openid-connect/token"
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data = {
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"grant_type": "client_credentials",
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"client_id": self.client_id,
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"client_secret": self.client_secret
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}
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try:
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r = requests.post(url, data=data, timeout=10)
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if r.status_code == 200:
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res = r.json()
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self.token = res.get("access_token")
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self.expires_at = time.time() + res.get("expires_in", 1800)
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logger.info("OpenSky OAuth2 token refreshed.")
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return self.token
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else:
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logger.error(f"OpenSky Auth Failed: {r.status_code} {r.text}")
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except (requests.RequestException, ConnectionError, TimeoutError, ValueError, KeyError) as e:
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logger.error(f"OpenSky Auth Exception: {e}")
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return None
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opensky_client = OpenSkyClient(
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client_id=os.environ.get("OPENSKY_CLIENT_ID", ""),
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client_secret=os.environ.get("OPENSKY_CLIENT_SECRET", "")
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)
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# Throttling and caching for OpenSky (400 req/day limit)
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last_opensky_fetch = 0
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cached_opensky_flights = []
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# ---------------------------------------------------------------------------
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# Supplemental ADS-B sources for blind-spot gap-filling
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# ---------------------------------------------------------------------------
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_BLIND_SPOT_REGIONS = [
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{"name": "Yekaterinburg", "lat": 56.8, "lon": 60.6, "radius_nm": 250},
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{"name": "Novosibirsk", "lat": 55.0, "lon": 82.9, "radius_nm": 250},
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{"name": "Krasnoyarsk", "lat": 56.0, "lon": 92.9, "radius_nm": 250},
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{"name": "Vladivostok", "lat": 43.1, "lon": 131.9, "radius_nm": 250},
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{"name": "Urumqi", "lat": 43.8, "lon": 87.6, "radius_nm": 250},
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{"name": "Chengdu", "lat": 30.6, "lon": 104.1, "radius_nm": 250},
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{"name": "Lagos-Accra", "lat": 6.5, "lon": 3.4, "radius_nm": 250},
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{"name": "Addis Ababa", "lat": 9.0, "lon": 38.7, "radius_nm": 250},
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]
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_SUPPLEMENTAL_FETCH_INTERVAL = 120
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last_supplemental_fetch = 0
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cached_supplemental_flights = []
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# Helicopter type codes (backend classification)
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_HELI_TYPES_BACKEND = {
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"R22", "R44", "R66", "B06", "B06T", "B204", "B205", "B206", "B212", "B222", "B230",
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"B407", "B412", "B427", "B429", "B430", "B505", "B525",
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"AS32", "AS35", "AS50", "AS55", "AS65",
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"EC20", "EC25", "EC30", "EC35", "EC45", "EC55", "EC75",
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"H125", "H130", "H135", "H145", "H155", "H160", "H175", "H215", "H225",
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"S55", "S58", "S61", "S64", "S70", "S76", "S92",
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"A109", "A119", "A139", "A169", "A189", "AW09",
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"MD52", "MD60", "MDHI", "MD90", "NOTR",
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"B47G", "HUEY", "GAMA", "CABR", "EXE",
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}
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# Private jet ICAO type designator codes
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PRIVATE_JET_TYPES = {
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"G150", "G200", "G280", "GLEX", "G500", "G550", "G600", "G650", "G700",
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"GLF2", "GLF3", "GLF4", "GLF5", "GLF6", "GL5T", "GL7T", "GV", "GIV",
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"CL30", "CL35", "CL60", "BD70", "BD10", "GL5T", "GL7T",
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"CRJ1", "CRJ2",
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"C25A", "C25B", "C25C", "C500", "C501", "C510", "C525", "C526",
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"C550", "C560", "C56X", "C680", "C68A", "C700", "C750",
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"FA10", "FA20", "FA50", "FA7X", "FA8X", "F900", "F2TH", "ASTR",
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"E35L", "E545", "E550", "E55P", "LEGA", "PH10", "PH30",
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"LJ23", "LJ24", "LJ25", "LJ28", "LJ31", "LJ35", "LJ36",
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"LJ40", "LJ45", "LJ55", "LJ60", "LJ70", "LJ75",
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"H25A", "H25B", "H25C", "HA4T", "BE40", "PRM1",
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"HDJT", "PC24", "EA50", "SF50", "GALX",
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}
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# Flight trails state
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flight_trails = {} # {icao_hex: {points: [[lat, lng, alt, ts], ...], last_seen: ts}}
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_trails_lock = threading.Lock()
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_MAX_TRACKED_TRAILS = 2000
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# Routes cache
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dynamic_routes_cache = TTLCache(maxsize=5000, ttl=7200)
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routes_fetch_in_progress = False
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_routes_lock = threading.Lock()
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def _fetch_supplemental_sources(seen_hex: set) -> list:
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"""Fetch from airplanes.live and adsb.fi to fill blind-spot gaps."""
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global last_supplemental_fetch, cached_supplemental_flights
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now = time.time()
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if now - last_supplemental_fetch < _SUPPLEMENTAL_FETCH_INTERVAL:
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return [f for f in cached_supplemental_flights
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if f.get("hex", "").lower().strip() not in seen_hex]
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new_supplemental = []
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supplemental_hex = set()
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def _fetch_airplaneslive(region):
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try:
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url = (f"https://api.airplanes.live/v2/point/"
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f"{region['lat']}/{region['lon']}/{region['radius_nm']}")
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res = fetch_with_curl(url, timeout=10)
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if res.status_code == 200:
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data = res.json()
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return data.get("ac", [])
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except Exception as e:
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logger.debug(f"airplanes.live {region['name']} failed: {e}")
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return []
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try:
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with concurrent.futures.ThreadPoolExecutor(max_workers=4) as pool:
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results = list(pool.map(_fetch_airplaneslive, _BLIND_SPOT_REGIONS))
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for region_flights in results:
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for f in region_flights:
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h = f.get("hex", "").lower().strip()
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if h and h not in seen_hex and h not in supplemental_hex:
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f["supplemental_source"] = "airplanes.live"
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new_supplemental.append(f)
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supplemental_hex.add(h)
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except Exception as e:
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logger.warning(f"airplanes.live supplemental fetch failed: {e}")
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ap_count = len(new_supplemental)
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try:
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for region in _BLIND_SPOT_REGIONS:
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try:
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url = (f"https://opendata.adsb.fi/api/v3/lat/"
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f"{region['lat']}/lon/{region['lon']}/dist/{region['radius_nm']}")
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res = fetch_with_curl(url, timeout=10)
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if res.status_code == 200:
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data = res.json()
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for f in data.get("ac", []):
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h = f.get("hex", "").lower().strip()
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if h and h not in seen_hex and h not in supplemental_hex:
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f["supplemental_source"] = "adsb.fi"
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new_supplemental.append(f)
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supplemental_hex.add(h)
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except Exception as e:
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logger.debug(f"adsb.fi {region['name']} failed: {e}")
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time.sleep(1.1)
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except Exception as e:
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logger.warning(f"adsb.fi supplemental fetch failed: {e}")
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fi_count = len(new_supplemental) - ap_count
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cached_supplemental_flights = new_supplemental
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last_supplemental_fetch = now
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if new_supplemental:
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_mark_fresh("supplemental_flights")
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logger.info(f"Supplemental: +{len(new_supplemental)} new aircraft from blind-spot "
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f"hotspots (airplanes.live: {ap_count}, adsb.fi: {fi_count})")
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return new_supplemental
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def fetch_routes_background(sampled):
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global routes_fetch_in_progress
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with _routes_lock:
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if routes_fetch_in_progress:
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return
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routes_fetch_in_progress = True
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try:
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callsigns_to_query = []
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for f in sampled:
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c_sign = str(f.get("flight", "")).strip()
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if c_sign and c_sign != "UNKNOWN":
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callsigns_to_query.append({
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"callsign": c_sign,
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"lat": f.get("lat", 0),
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"lng": f.get("lon", 0)
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})
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batch_size = 100
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batches = [callsigns_to_query[i:i+batch_size] for i in range(0, len(callsigns_to_query), batch_size)]
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for batch in batches:
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try:
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r = fetch_with_curl("https://api.adsb.lol/api/0/routeset", method="POST", json_data={"planes": batch}, timeout=15)
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if r.status_code == 200:
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route_data = r.json()
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route_list = []
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if isinstance(route_data, dict):
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route_list = route_data.get("value", [])
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elif isinstance(route_data, list):
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route_list = route_data
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for route in route_list:
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callsign = route.get("callsign", "")
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airports = route.get("_airports", [])
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if airports and len(airports) >= 2:
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orig_apt = airports[0]
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dest_apt = airports[-1]
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with _routes_lock:
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dynamic_routes_cache[callsign] = {
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"orig_name": f"{orig_apt.get('iata', '')}: {orig_apt.get('name', 'Unknown')}",
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"dest_name": f"{dest_apt.get('iata', '')}: {dest_apt.get('name', 'Unknown')}",
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"orig_loc": [orig_apt.get("lon", 0), orig_apt.get("lat", 0)],
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"dest_loc": [dest_apt.get("lon", 0), dest_apt.get("lat", 0)],
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}
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time.sleep(0.25)
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except Exception:
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logger.debug("Route batch request failed")
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finally:
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with _routes_lock:
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routes_fetch_in_progress = False
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def _classify_and_publish(all_adsb_flights):
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"""Shared pipeline: normalize raw ADS-B data → classify → merge → publish to latest_data.
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Called once immediately after adsb.lol returns (fast path, ~3-5s),
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then again after OpenSky + supplemental gap-fill enrichment.
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"""
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flights = []
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if not all_adsb_flights:
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return
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with _routes_lock:
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already_running = routes_fetch_in_progress
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if not already_running:
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threading.Thread(target=fetch_routes_background, args=(all_adsb_flights,), daemon=True).start()
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for f in all_adsb_flights:
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try:
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lat = f.get("lat")
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lng = f.get("lon")
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heading = f.get("track") or 0
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if lat is None or lng is None:
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continue
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flight_str = str(f.get("flight", "UNKNOWN")).strip()
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if not flight_str or flight_str == "UNKNOWN":
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flight_str = str(f.get("hex", "Unknown"))
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origin_loc = None
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dest_loc = None
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origin_name = "UNKNOWN"
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dest_name = "UNKNOWN"
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with _routes_lock:
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cached_route = dynamic_routes_cache.get(flight_str)
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if cached_route:
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origin_name = cached_route["orig_name"]
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dest_name = cached_route["dest_name"]
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origin_loc = cached_route["orig_loc"]
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dest_loc = cached_route["dest_loc"]
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airline_code = ""
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match = _RE_AIRLINE_CODE_1.match(flight_str)
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if not match:
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match = _RE_AIRLINE_CODE_2.match(flight_str)
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if match:
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airline_code = match.group(1)
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alt_raw = f.get("alt_baro")
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alt_value = 0
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if isinstance(alt_raw, (int, float)):
|
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alt_value = alt_raw * 0.3048
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gs_knots = f.get("gs")
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speed_knots = round(gs_knots, 1) if isinstance(gs_knots, (int, float)) else None
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model_upper = f.get("t", "").upper()
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if model_upper == "TWR":
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continue
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||||
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||||
ac_category = "heli" if model_upper in _HELI_TYPES_BACKEND else "plane"
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||||
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flights.append({
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"callsign": flight_str,
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"country": f.get("r", "N/A"),
|
||||
"lng": float(lng),
|
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"lat": float(lat),
|
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"alt": alt_value,
|
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"heading": heading,
|
||||
"type": "flight",
|
||||
"origin_loc": origin_loc,
|
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"dest_loc": dest_loc,
|
||||
"origin_name": origin_name,
|
||||
"dest_name": dest_name,
|
||||
"registration": f.get("r", "N/A"),
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"model": f.get("t", "Unknown"),
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"icao24": f.get("hex", ""),
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"speed_knots": speed_knots,
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"squawk": f.get("squawk", ""),
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"airline_code": airline_code,
|
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"aircraft_category": ac_category,
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"nac_p": f.get("nac_p")
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||||
})
|
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except Exception as loop_e:
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||||
logger.error(f"Flight interpolation error: {loop_e}")
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||||
continue
|
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|
||||
# --- Classification ---
|
||||
commercial = []
|
||||
private_jets = []
|
||||
private_ga = []
|
||||
tracked = []
|
||||
|
||||
for f in flights:
|
||||
enrich_with_plane_alert(f)
|
||||
enrich_with_tracked_names(f)
|
||||
|
||||
callsign = f.get('callsign', '').strip().upper()
|
||||
is_commercial_format = bool(re.match(r'^[A-Z]{3}\d{1,4}[A-Z]{0,2}$', callsign))
|
||||
|
||||
if f.get('alert_category'):
|
||||
f['type'] = 'tracked_flight'
|
||||
tracked.append(f)
|
||||
elif f.get('airline_code') or is_commercial_format:
|
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f['type'] = 'commercial_flight'
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commercial.append(f)
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||||
elif f.get('model', '').upper() in PRIVATE_JET_TYPES:
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||||
f['type'] = 'private_jet'
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||||
private_jets.append(f)
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||||
else:
|
||||
f['type'] = 'private_ga'
|
||||
private_ga.append(f)
|
||||
|
||||
# --- Smart merge: protect against partial API failures ---
|
||||
prev_commercial_count = len(latest_data.get('commercial_flights', []))
|
||||
prev_total = prev_commercial_count + len(latest_data.get('private_jets', [])) + len(latest_data.get('private_flights', []))
|
||||
new_total = len(commercial) + len(private_jets) + len(private_ga)
|
||||
|
||||
if new_total == 0:
|
||||
logger.warning("No civilian flights found! Skipping overwrite to prevent clearing the map.")
|
||||
elif prev_total > 100 and new_total < prev_total * 0.5:
|
||||
logger.warning(f"Flight count dropped from {prev_total} to {new_total} (>50% loss). Keeping previous data to prevent flicker.")
|
||||
else:
|
||||
_now = time.time()
|
||||
|
||||
def _merge_category(new_list, old_list, max_stale_s=120):
|
||||
by_icao = {}
|
||||
for f in old_list:
|
||||
icao = f.get('icao24', '')
|
||||
if icao:
|
||||
f.setdefault('_seen_at', _now)
|
||||
if (_now - f.get('_seen_at', _now)) < max_stale_s:
|
||||
by_icao[icao] = f
|
||||
for f in new_list:
|
||||
icao = f.get('icao24', '')
|
||||
if icao:
|
||||
f['_seen_at'] = _now
|
||||
by_icao[icao] = f
|
||||
else:
|
||||
continue
|
||||
return list(by_icao.values())
|
||||
|
||||
with _data_lock:
|
||||
latest_data['commercial_flights'] = _merge_category(commercial, latest_data.get('commercial_flights', []))
|
||||
latest_data['private_jets'] = _merge_category(private_jets, latest_data.get('private_jets', []))
|
||||
latest_data['private_flights'] = _merge_category(private_ga, latest_data.get('private_flights', []))
|
||||
|
||||
_mark_fresh("commercial_flights", "private_jets", "private_flights")
|
||||
|
||||
with _data_lock:
|
||||
if flights:
|
||||
latest_data['flights'] = flights
|
||||
|
||||
# Merge tracked civilian flights with tracked military flights
|
||||
with _data_lock:
|
||||
existing_tracked = list(latest_data.get('tracked_flights', []))
|
||||
|
||||
fresh_tracked_map = {}
|
||||
for t in tracked:
|
||||
icao = t.get('icao24', '').upper()
|
||||
if icao:
|
||||
fresh_tracked_map[icao] = t
|
||||
|
||||
merged_tracked = []
|
||||
seen_icaos = set()
|
||||
for old_t in existing_tracked:
|
||||
icao = old_t.get('icao24', '').upper()
|
||||
if icao in fresh_tracked_map:
|
||||
fresh = fresh_tracked_map[icao]
|
||||
for key in ('alert_category', 'alert_operator', 'alert_special', 'alert_flag'):
|
||||
if key in old_t and key not in fresh:
|
||||
fresh[key] = old_t[key]
|
||||
merged_tracked.append(fresh)
|
||||
seen_icaos.add(icao)
|
||||
else:
|
||||
merged_tracked.append(old_t)
|
||||
seen_icaos.add(icao)
|
||||
|
||||
for icao, t in fresh_tracked_map.items():
|
||||
if icao not in seen_icaos:
|
||||
merged_tracked.append(t)
|
||||
|
||||
with _data_lock:
|
||||
latest_data['tracked_flights'] = merged_tracked
|
||||
logger.info(f"Tracked flights: {len(merged_tracked)} total ({len(fresh_tracked_map)} fresh from civilian)")
|
||||
|
||||
# --- Trail Accumulation ---
|
||||
def _accumulate_trail(f, now_ts, check_route=True):
|
||||
hex_id = f.get('icao24', '').lower()
|
||||
if not hex_id:
|
||||
return 0, None
|
||||
if check_route and f.get('origin_name', 'UNKNOWN') != 'UNKNOWN':
|
||||
f['trail'] = []
|
||||
return 0, hex_id
|
||||
lat, lng, alt = f.get('lat'), f.get('lng'), f.get('alt', 0)
|
||||
if lat is None or lng is None:
|
||||
f['trail'] = flight_trails.get(hex_id, {}).get('points', [])
|
||||
return 0, hex_id
|
||||
point = [round(lat, 5), round(lng, 5), round(alt, 1), round(now_ts)]
|
||||
if hex_id not in flight_trails:
|
||||
flight_trails[hex_id] = {'points': [], 'last_seen': now_ts}
|
||||
trail_data = flight_trails[hex_id]
|
||||
if trail_data['points'] and trail_data['points'][-1][0] == point[0] and trail_data['points'][-1][1] == point[1]:
|
||||
trail_data['last_seen'] = now_ts
|
||||
else:
|
||||
trail_data['points'].append(point)
|
||||
trail_data['last_seen'] = now_ts
|
||||
if len(trail_data['points']) > 200:
|
||||
trail_data['points'] = trail_data['points'][-200:]
|
||||
f['trail'] = trail_data['points']
|
||||
return 1, hex_id
|
||||
|
||||
now_ts = datetime.utcnow().timestamp()
|
||||
all_lists = [commercial, private_jets, private_ga, existing_tracked]
|
||||
seen_hexes = set()
|
||||
trail_count = 0
|
||||
with _trails_lock:
|
||||
for flist in all_lists:
|
||||
for f in flist:
|
||||
count, hex_id = _accumulate_trail(f, now_ts, check_route=True)
|
||||
trail_count += count
|
||||
if hex_id:
|
||||
seen_hexes.add(hex_id)
|
||||
|
||||
for mf in latest_data.get('military_flights', []):
|
||||
count, hex_id = _accumulate_trail(mf, now_ts, check_route=False)
|
||||
trail_count += count
|
||||
if hex_id:
|
||||
seen_hexes.add(hex_id)
|
||||
|
||||
tracked_hexes = {t.get('icao24', '').lower() for t in latest_data.get('tracked_flights', [])}
|
||||
stale_keys = []
|
||||
for k, v in flight_trails.items():
|
||||
cutoff = now_ts - 1800 if k in tracked_hexes else now_ts - 300
|
||||
if v['last_seen'] < cutoff:
|
||||
stale_keys.append(k)
|
||||
for k in stale_keys:
|
||||
del flight_trails[k]
|
||||
|
||||
if len(flight_trails) > _MAX_TRACKED_TRAILS:
|
||||
sorted_keys = sorted(flight_trails.keys(), key=lambda k: flight_trails[k]['last_seen'])
|
||||
evict_count = len(flight_trails) - _MAX_TRACKED_TRAILS
|
||||
for k in sorted_keys[:evict_count]:
|
||||
del flight_trails[k]
|
||||
|
||||
logger.info(f"Trail accumulation: {trail_count} active trails, {len(stale_keys)} pruned, {len(flight_trails)} total")
|
||||
|
||||
# --- GPS Jamming Detection ---
|
||||
try:
|
||||
jamming_grid = {}
|
||||
raw_flights = latest_data.get('flights', [])
|
||||
for rf in raw_flights:
|
||||
rlat = rf.get('lat')
|
||||
rlng = rf.get('lng') or rf.get('lon')
|
||||
if rlat is None or rlng is None:
|
||||
continue
|
||||
nacp = rf.get('nac_p')
|
||||
if nacp is None:
|
||||
continue
|
||||
grid_key = f"{int(rlat)},{int(rlng)}"
|
||||
if grid_key not in jamming_grid:
|
||||
jamming_grid[grid_key] = {"degraded": 0, "total": 0}
|
||||
jamming_grid[grid_key]["total"] += 1
|
||||
if nacp < 8:
|
||||
jamming_grid[grid_key]["degraded"] += 1
|
||||
|
||||
jamming_zones = []
|
||||
for gk, counts in jamming_grid.items():
|
||||
if counts["total"] < 3:
|
||||
continue
|
||||
ratio = counts["degraded"] / counts["total"]
|
||||
if ratio > 0.25:
|
||||
lat_i, lng_i = gk.split(",")
|
||||
severity = "low" if ratio < 0.5 else "medium" if ratio < 0.75 else "high"
|
||||
jamming_zones.append({
|
||||
"lat": int(lat_i) + 0.5,
|
||||
"lng": int(lng_i) + 0.5,
|
||||
"severity": severity,
|
||||
"ratio": round(ratio, 2),
|
||||
"degraded": counts["degraded"],
|
||||
"total": counts["total"]
|
||||
})
|
||||
with _data_lock:
|
||||
latest_data['gps_jamming'] = jamming_zones
|
||||
if jamming_zones:
|
||||
logger.info(f"GPS Jamming: {len(jamming_zones)} interference zones detected")
|
||||
except Exception as e:
|
||||
logger.error(f"GPS Jamming detection error: {e}")
|
||||
with _data_lock:
|
||||
latest_data['gps_jamming'] = []
|
||||
|
||||
# --- Holding Pattern Detection ---
|
||||
try:
|
||||
holding_count = 0
|
||||
all_flight_lists = [commercial, private_jets, private_ga,
|
||||
latest_data.get('tracked_flights', []),
|
||||
latest_data.get('military_flights', [])]
|
||||
with _trails_lock:
|
||||
trails_snapshot = {k: v.get('points', [])[:] for k, v in flight_trails.items()}
|
||||
for flist in all_flight_lists:
|
||||
for f in flist:
|
||||
hex_id = f.get('icao24', '').lower()
|
||||
trail = trails_snapshot.get(hex_id, [])
|
||||
if len(trail) < 6:
|
||||
f['holding'] = False
|
||||
continue
|
||||
pts = trail[-8:]
|
||||
total_turn = 0.0
|
||||
prev_bearing = 0.0
|
||||
for i in range(1, len(pts)):
|
||||
lat1, lng1 = math.radians(pts[i-1][0]), math.radians(pts[i-1][1])
|
||||
lat2, lng2 = math.radians(pts[i][0]), math.radians(pts[i][1])
|
||||
dlng = lng2 - lng1
|
||||
x = math.sin(dlng) * math.cos(lat2)
|
||||
y = math.cos(lat1) * math.sin(lat2) - math.sin(lat1) * math.cos(lat2) * math.cos(dlng)
|
||||
bearing = math.degrees(math.atan2(x, y)) % 360
|
||||
if i > 1:
|
||||
delta = abs(bearing - prev_bearing)
|
||||
if delta > 180:
|
||||
delta = 360 - delta
|
||||
total_turn += delta
|
||||
prev_bearing = bearing
|
||||
f['holding'] = total_turn > 300
|
||||
if f['holding']:
|
||||
holding_count += 1
|
||||
if holding_count:
|
||||
logger.info(f"Holding patterns: {holding_count} aircraft circling")
|
||||
except Exception as e:
|
||||
logger.error(f"Holding pattern detection error: {e}")
|
||||
|
||||
with _data_lock:
|
||||
latest_data['last_updated'] = datetime.utcnow().isoformat()
|
||||
|
||||
|
||||
def _fetch_adsb_lol_regions():
|
||||
"""Fetch all adsb.lol regions in parallel (~3-5s). Returns raw aircraft list."""
|
||||
regions = [
|
||||
{"lat": 39.8, "lon": -98.5, "dist": 2000},
|
||||
{"lat": 50.0, "lon": 15.0, "dist": 2000},
|
||||
{"lat": 35.0, "lon": 105.0, "dist": 2000},
|
||||
{"lat": -25.0, "lon": 133.0, "dist": 2000},
|
||||
{"lat": 0.0, "lon": 20.0, "dist": 2500},
|
||||
{"lat": -15.0, "lon": -60.0, "dist": 2000}
|
||||
]
|
||||
|
||||
def _fetch_region(r):
|
||||
url = f"https://api.adsb.lol/v2/lat/{r['lat']}/lon/{r['lon']}/dist/{r['dist']}"
|
||||
try:
|
||||
res = fetch_with_curl(url, timeout=10)
|
||||
if res.status_code == 200:
|
||||
data = res.json()
|
||||
return data.get("ac", [])
|
||||
except Exception as e:
|
||||
logger.warning(f"Region fetch failed for lat={r['lat']}: {e}")
|
||||
return []
|
||||
|
||||
all_flights = []
|
||||
with concurrent.futures.ThreadPoolExecutor(max_workers=6) as pool:
|
||||
results = pool.map(_fetch_region, regions)
|
||||
for region_flights in results:
|
||||
all_flights.extend(region_flights)
|
||||
return all_flights
|
||||
|
||||
|
||||
def _enrich_with_opensky_and_supplemental(adsb_flights):
|
||||
"""Slow enrichment: merge OpenSky gap-fill + supplemental sources, then re-publish.
|
||||
|
||||
Runs in a background thread so the initial adsb.lol data is already visible.
|
||||
"""
|
||||
try:
|
||||
seen_hex = set()
|
||||
for f in adsb_flights:
|
||||
h = f.get("hex")
|
||||
if h:
|
||||
seen_hex.add(h.lower().strip())
|
||||
|
||||
all_flights = list(adsb_flights) # copy to avoid mutating the original
|
||||
|
||||
# OpenSky Regional Fallback
|
||||
now = time.time()
|
||||
global last_opensky_fetch, cached_opensky_flights
|
||||
|
||||
if now - last_opensky_fetch > 300:
|
||||
token = opensky_client.get_token()
|
||||
if token:
|
||||
opensky_regions = [
|
||||
{"name": "Africa", "bbox": {"lamin": -35.0, "lomin": -20.0, "lamax": 38.0, "lomax": 55.0}},
|
||||
{"name": "Asia", "bbox": {"lamin": 0.0, "lomin": 30.0, "lamax": 75.0, "lomax": 150.0}},
|
||||
{"name": "South America", "bbox": {"lamin": -60.0, "lomin": -95.0, "lamax": 15.0, "lomax": -30.0}}
|
||||
]
|
||||
|
||||
new_opensky_flights = []
|
||||
for os_reg in opensky_regions:
|
||||
try:
|
||||
bb = os_reg["bbox"]
|
||||
os_url = f"https://opensky-network.org/api/states/all?lamin={bb['lamin']}&lomin={bb['lomin']}&lamax={bb['lamax']}&lomax={bb['lomax']}"
|
||||
headers = {"Authorization": f"Bearer {token}"}
|
||||
os_res = requests.get(os_url, headers=headers, timeout=15)
|
||||
|
||||
if os_res.status_code == 200:
|
||||
os_data = os_res.json()
|
||||
states = os_data.get("states") or []
|
||||
logger.info(f"OpenSky: Fetched {len(states)} states for {os_reg['name']}")
|
||||
|
||||
for s in states:
|
||||
new_opensky_flights.append({
|
||||
"hex": s[0],
|
||||
"flight": s[1].strip() if s[1] else "UNKNOWN",
|
||||
"r": s[2],
|
||||
"lon": s[5],
|
||||
"lat": s[6],
|
||||
"alt_baro": (s[7] * 3.28084) if s[7] else 0,
|
||||
"track": s[10] or 0,
|
||||
"gs": (s[9] * 1.94384) if s[9] else 0,
|
||||
"t": "Unknown",
|
||||
"is_opensky": True
|
||||
})
|
||||
else:
|
||||
logger.warning(f"OpenSky API {os_reg['name']} failed: {os_res.status_code}")
|
||||
except Exception as ex:
|
||||
logger.error(f"OpenSky fetching error for {os_reg['name']}: {ex}")
|
||||
|
||||
cached_opensky_flights = new_opensky_flights
|
||||
last_opensky_fetch = now
|
||||
|
||||
# Merge OpenSky (dedup by hex)
|
||||
for osf in cached_opensky_flights:
|
||||
h = osf.get("hex")
|
||||
if h and h.lower().strip() not in seen_hex:
|
||||
all_flights.append(osf)
|
||||
seen_hex.add(h.lower().strip())
|
||||
|
||||
# Supplemental gap-fill
|
||||
try:
|
||||
gap_fill = _fetch_supplemental_sources(seen_hex)
|
||||
for f in gap_fill:
|
||||
all_flights.append(f)
|
||||
h = f.get("hex", "").lower().strip()
|
||||
if h:
|
||||
seen_hex.add(h)
|
||||
if gap_fill:
|
||||
logger.info(f"Gap-fill: added {len(gap_fill)} aircraft to pipeline")
|
||||
except Exception as e:
|
||||
logger.warning(f"Supplemental source fetch failed (non-fatal): {e}")
|
||||
|
||||
# Re-publish with enriched data
|
||||
if len(all_flights) > len(adsb_flights):
|
||||
logger.info(f"Enrichment: {len(all_flights) - len(adsb_flights)} additional aircraft from OpenSky + supplemental")
|
||||
_classify_and_publish(all_flights)
|
||||
except Exception as e:
|
||||
logger.error(f"OpenSky/supplemental enrichment error: {e}")
|
||||
|
||||
|
||||
def fetch_flights():
|
||||
"""Two-phase flight fetching:
|
||||
Phase 1 (fast): Fetch adsb.lol → classify → publish immediately (~3-5s)
|
||||
Phase 2 (background): Merge OpenSky + supplemental → re-publish (~15-30s)
|
||||
"""
|
||||
try:
|
||||
# Phase 1: adsb.lol — fast, parallel, publish immediately
|
||||
adsb_flights = _fetch_adsb_lol_regions()
|
||||
if adsb_flights:
|
||||
logger.info(f"adsb.lol: {len(adsb_flights)} aircraft — publishing immediately")
|
||||
_classify_and_publish(adsb_flights)
|
||||
|
||||
# Phase 2: kick off slow enrichment in background
|
||||
threading.Thread(
|
||||
target=_enrich_with_opensky_and_supplemental,
|
||||
args=(adsb_flights,),
|
||||
daemon=True,
|
||||
).start()
|
||||
else:
|
||||
logger.warning("adsb.lol returned 0 aircraft")
|
||||
except Exception as e:
|
||||
logger.error(f"Error fetching flights: {e}")
|
||||
@@ -0,0 +1,218 @@
|
||||
"""Military flight tracking and UAV detection from ADS-B data."""
|
||||
import logging
|
||||
from services.network_utils import fetch_with_curl
|
||||
from services.fetchers._store import latest_data, _data_lock, _mark_fresh
|
||||
from services.fetchers.plane_alert import enrich_with_plane_alert
|
||||
|
||||
logger = logging.getLogger("services.data_fetcher")
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# UAV classification — filters military drone transponders
|
||||
# ---------------------------------------------------------------------------
|
||||
_UAV_TYPE_CODES = {"Q9", "R4", "TB2", "MALE", "HALE", "HERM", "HRON"}
|
||||
_UAV_CALLSIGN_PREFIXES = ("FORTE", "GHAWK", "REAP", "BAMS", "UAV", "UAS")
|
||||
_UAV_MODEL_KEYWORDS = ("RQ-", "MQ-", "RQ4", "MQ9", "MQ4", "MQ1", "REAPER", "GLOBALHAWK", "TRITON", "PREDATOR", "HERMES", "HERON", "BAYRAKTAR")
|
||||
_UAV_WIKI = {
|
||||
"RQ4": "https://en.wikipedia.org/wiki/Northrop_Grumman_RQ-4_Global_Hawk",
|
||||
"RQ-4": "https://en.wikipedia.org/wiki/Northrop_Grumman_RQ-4_Global_Hawk",
|
||||
"MQ4": "https://en.wikipedia.org/wiki/Northrop_Grumman_MQ-4C_Triton",
|
||||
"MQ-4": "https://en.wikipedia.org/wiki/Northrop_Grumman_MQ-4C_Triton",
|
||||
"MQ9": "https://en.wikipedia.org/wiki/General_Atomics_MQ-9_Reaper",
|
||||
"MQ-9": "https://en.wikipedia.org/wiki/General_Atomics_MQ-9_Reaper",
|
||||
"MQ1": "https://en.wikipedia.org/wiki/General_Atomics_MQ-1C_Gray_Eagle",
|
||||
"MQ-1": "https://en.wikipedia.org/wiki/General_Atomics_MQ-1C_Gray_Eagle",
|
||||
"REAPER": "https://en.wikipedia.org/wiki/General_Atomics_MQ-9_Reaper",
|
||||
"GLOBALHAWK": "https://en.wikipedia.org/wiki/Northrop_Grumman_RQ-4_Global_Hawk",
|
||||
"TRITON": "https://en.wikipedia.org/wiki/Northrop_Grumman_MQ-4C_Triton",
|
||||
"PREDATOR": "https://en.wikipedia.org/wiki/General_Atomics_MQ-1_Predator",
|
||||
"HERMES": "https://en.wikipedia.org/wiki/Elbit_Hermes_900",
|
||||
"HERON": "https://en.wikipedia.org/wiki/IAI_Heron",
|
||||
"BAYRAKTAR": "https://en.wikipedia.org/wiki/Bayraktar_TB2",
|
||||
}
|
||||
|
||||
|
||||
def _classify_uav(model: str, callsign: str):
|
||||
"""Check if an aircraft is a UAV based on type code, callsign prefix, or model keywords.
|
||||
Returns (is_uav, uav_type, wiki_url) or (False, None, None)."""
|
||||
model_up = model.upper().replace(" ", "")
|
||||
callsign_up = callsign.upper().strip()
|
||||
|
||||
if model_up in _UAV_TYPE_CODES:
|
||||
uav_type = "HALE Surveillance" if model_up in ("R4", "HALE") else "MALE ISR"
|
||||
wiki = _UAV_WIKI.get(model_up, "")
|
||||
return True, uav_type, wiki
|
||||
|
||||
for prefix in _UAV_CALLSIGN_PREFIXES:
|
||||
if callsign_up.startswith(prefix):
|
||||
uav_type = "HALE Surveillance" if prefix in ("FORTE", "GHAWK", "BAMS") else "MALE ISR"
|
||||
wiki = _UAV_WIKI.get(prefix, "")
|
||||
if prefix == "FORTE":
|
||||
wiki = _UAV_WIKI["RQ4"]
|
||||
elif prefix == "BAMS":
|
||||
wiki = _UAV_WIKI["MQ4"]
|
||||
return True, uav_type, wiki
|
||||
|
||||
for kw in _UAV_MODEL_KEYWORDS:
|
||||
if kw in model_up:
|
||||
if any(h in model_up for h in ("RQ4", "RQ-4", "GLOBALHAWK")):
|
||||
return True, "HALE Surveillance", _UAV_WIKI.get(kw, "")
|
||||
elif any(h in model_up for h in ("MQ4", "MQ-4", "TRITON")):
|
||||
return True, "HALE Maritime Surveillance", _UAV_WIKI.get(kw, "")
|
||||
elif any(h in model_up for h in ("MQ9", "MQ-9", "REAPER")):
|
||||
return True, "MALE Strike/ISR", _UAV_WIKI.get(kw, "")
|
||||
elif any(h in model_up for h in ("MQ1", "MQ-1", "PREDATOR")):
|
||||
return True, "MALE ISR/Strike", _UAV_WIKI.get(kw, "")
|
||||
elif "BAYRAKTAR" in model_up or "TB2" in model_up:
|
||||
return True, "MALE Strike", _UAV_WIKI.get("BAYRAKTAR", "")
|
||||
elif "HERMES" in model_up:
|
||||
return True, "MALE ISR", _UAV_WIKI.get("HERMES", "")
|
||||
elif "HERON" in model_up:
|
||||
return True, "MALE ISR", _UAV_WIKI.get("HERON", "")
|
||||
return True, "MALE ISR", _UAV_WIKI.get(kw, "")
|
||||
|
||||
return False, None, None
|
||||
|
||||
|
||||
def fetch_military_flights():
|
||||
military_flights = []
|
||||
detected_uavs = []
|
||||
try:
|
||||
url = "https://api.adsb.lol/v2/mil"
|
||||
response = fetch_with_curl(url, timeout=10)
|
||||
if response.status_code == 200:
|
||||
ac = response.json().get('ac', [])
|
||||
for f in ac:
|
||||
try:
|
||||
lat = f.get("lat")
|
||||
lng = f.get("lon")
|
||||
heading = f.get("track") or 0
|
||||
|
||||
if lat is None or lng is None:
|
||||
continue
|
||||
|
||||
model = str(f.get("t", "UNKNOWN")).upper()
|
||||
callsign = str(f.get("flight", "MIL-UNKN")).strip()
|
||||
|
||||
if model == "TWR":
|
||||
continue
|
||||
|
||||
alt_raw = f.get("alt_baro")
|
||||
alt_value = 0
|
||||
if isinstance(alt_raw, (int, float)):
|
||||
alt_value = alt_raw * 0.3048
|
||||
|
||||
gs_knots = f.get("gs")
|
||||
speed_knots = round(gs_knots, 1) if isinstance(gs_knots, (int, float)) else None
|
||||
|
||||
is_uav, uav_type, wiki_url = _classify_uav(model, callsign)
|
||||
if is_uav:
|
||||
detected_uavs.append({
|
||||
"id": f"uav-{f.get('hex', '')}",
|
||||
"callsign": callsign,
|
||||
"aircraft_model": f.get("t", "Unknown"),
|
||||
"lat": float(lat),
|
||||
"lng": float(lng),
|
||||
"alt": alt_value,
|
||||
"heading": heading,
|
||||
"speed_knots": speed_knots,
|
||||
"country": f.get("flag", "Unknown"),
|
||||
"uav_type": uav_type,
|
||||
"wiki": wiki_url or "",
|
||||
"type": "uav",
|
||||
"registration": f.get("r", "N/A"),
|
||||
"icao24": f.get("hex", ""),
|
||||
"squawk": f.get("squawk", ""),
|
||||
})
|
||||
continue
|
||||
|
||||
mil_cat = "default"
|
||||
if "H" in model and any(c.isdigit() for c in model):
|
||||
mil_cat = "heli"
|
||||
elif any(k in model for k in ["K35", "K46", "A33"]):
|
||||
mil_cat = "tanker"
|
||||
elif any(k in model for k in ["F16", "F35", "F22", "F15", "F18", "T38", "T6", "A10"]):
|
||||
mil_cat = "fighter"
|
||||
elif any(k in model for k in ["C17", "C5", "C130", "C30", "A400", "V22"]):
|
||||
mil_cat = "cargo"
|
||||
elif any(k in model for k in ["P8", "E3", "E8", "U2"]):
|
||||
mil_cat = "recon"
|
||||
|
||||
military_flights.append({
|
||||
"callsign": callsign,
|
||||
"country": f.get("flag", "Military Asset"),
|
||||
"lng": float(lng),
|
||||
"lat": float(lat),
|
||||
"alt": alt_value,
|
||||
"heading": heading,
|
||||
"type": "military_flight",
|
||||
"military_type": mil_cat,
|
||||
"origin_loc": None,
|
||||
"dest_loc": None,
|
||||
"origin_name": "UNKNOWN",
|
||||
"dest_name": "UNKNOWN",
|
||||
"registration": f.get("r", "N/A"),
|
||||
"model": f.get("t", "Unknown"),
|
||||
"icao24": f.get("hex", ""),
|
||||
"speed_knots": speed_knots,
|
||||
"squawk": f.get("squawk", "")
|
||||
})
|
||||
except Exception as loop_e:
|
||||
logger.error(f"Mil flight interpolation error: {loop_e}")
|
||||
continue
|
||||
except Exception as e:
|
||||
logger.error(f"Error fetching military flights: {e}")
|
||||
|
||||
if not military_flights and not detected_uavs:
|
||||
logger.warning("No military flights retrieved — keeping previous data if available")
|
||||
with _data_lock:
|
||||
if latest_data.get('military_flights'):
|
||||
return
|
||||
|
||||
with _data_lock:
|
||||
latest_data['military_flights'] = military_flights
|
||||
latest_data['uavs'] = detected_uavs
|
||||
_mark_fresh("military_flights", "uavs")
|
||||
logger.info(f"UAVs: {len(detected_uavs)} real drones detected via ADS-B")
|
||||
|
||||
# Cross-reference military flights with Plane-Alert DB
|
||||
tracked_mil = []
|
||||
remaining_mil = []
|
||||
for mf in military_flights:
|
||||
enrich_with_plane_alert(mf)
|
||||
if mf.get('alert_category'):
|
||||
mf['type'] = 'tracked_flight'
|
||||
tracked_mil.append(mf)
|
||||
else:
|
||||
remaining_mil.append(mf)
|
||||
with _data_lock:
|
||||
latest_data['military_flights'] = remaining_mil
|
||||
|
||||
# Store tracked military flights — update positions for existing entries
|
||||
with _data_lock:
|
||||
existing_tracked = list(latest_data.get('tracked_flights', []))
|
||||
fresh_mil_map = {}
|
||||
for t in tracked_mil:
|
||||
icao = t.get('icao24', '').upper()
|
||||
if icao:
|
||||
fresh_mil_map[icao] = t
|
||||
|
||||
updated_tracked = []
|
||||
seen_icaos = set()
|
||||
for old_t in existing_tracked:
|
||||
icao = old_t.get('icao24', '').upper()
|
||||
if icao in fresh_mil_map:
|
||||
fresh = fresh_mil_map[icao]
|
||||
for key in ('alert_category', 'alert_operator', 'alert_special', 'alert_flag'):
|
||||
if key in old_t and key not in fresh:
|
||||
fresh[key] = old_t[key]
|
||||
updated_tracked.append(fresh)
|
||||
seen_icaos.add(icao)
|
||||
else:
|
||||
updated_tracked.append(old_t)
|
||||
seen_icaos.add(icao)
|
||||
for icao, t in fresh_mil_map.items():
|
||||
if icao not in seen_icaos:
|
||||
updated_tracked.append(t)
|
||||
with _data_lock:
|
||||
latest_data['tracked_flights'] = updated_tracked
|
||||
logger.info(f"Tracked flights: {len(updated_tracked)} total ({len(tracked_mil)} from military)")
|
||||
@@ -0,0 +1,220 @@
|
||||
"""News fetching, geocoding, clustering, and risk assessment."""
|
||||
import re
|
||||
import logging
|
||||
import concurrent.futures
|
||||
import feedparser
|
||||
from services.network_utils import fetch_with_curl
|
||||
from services.fetchers._store import latest_data, _data_lock, _mark_fresh
|
||||
|
||||
logger = logging.getLogger("services.data_fetcher")
|
||||
|
||||
|
||||
# Keyword -> coordinate mapping for geocoding news articles
|
||||
_KEYWORD_COORDS = {
|
||||
"venezuela": (7.119, -66.589),
|
||||
"brazil": (-14.235, -51.925),
|
||||
"argentina": (-38.416, -63.616),
|
||||
"colombia": (4.570, -74.297),
|
||||
"mexico": (23.634, -102.552),
|
||||
"united states": (38.907, -77.036),
|
||||
" usa ": (38.907, -77.036),
|
||||
" us ": (38.907, -77.036),
|
||||
"washington": (38.907, -77.036),
|
||||
"canada": (56.130, -106.346),
|
||||
"ukraine": (49.487, 31.272),
|
||||
"kyiv": (50.450, 30.523),
|
||||
"russia": (61.524, 105.318),
|
||||
"moscow": (55.755, 37.617),
|
||||
"israel": (31.046, 34.851),
|
||||
"gaza": (31.416, 34.333),
|
||||
"iran": (32.427, 53.688),
|
||||
"lebanon": (33.854, 35.862),
|
||||
"syria": (34.802, 38.996),
|
||||
"yemen": (15.552, 48.516),
|
||||
"china": (35.861, 104.195),
|
||||
"beijing": (39.904, 116.407),
|
||||
"taiwan": (23.697, 120.960),
|
||||
"north korea": (40.339, 127.510),
|
||||
"south korea": (35.907, 127.766),
|
||||
"pyongyang": (39.039, 125.762),
|
||||
"seoul": (37.566, 126.978),
|
||||
"japan": (36.204, 138.252),
|
||||
"tokyo": (35.676, 139.650),
|
||||
"afghanistan": (33.939, 67.709),
|
||||
"pakistan": (30.375, 69.345),
|
||||
"india": (20.593, 78.962),
|
||||
" uk ": (55.378, -3.435),
|
||||
"london": (51.507, -0.127),
|
||||
"france": (46.227, 2.213),
|
||||
"paris": (48.856, 2.352),
|
||||
"germany": (51.165, 10.451),
|
||||
"berlin": (52.520, 13.405),
|
||||
"sudan": (12.862, 30.217),
|
||||
"congo": (-4.038, 21.758),
|
||||
"south africa": (-30.559, 22.937),
|
||||
"nigeria": (9.082, 8.675),
|
||||
"egypt": (26.820, 30.802),
|
||||
"zimbabwe": (-19.015, 29.154),
|
||||
"kenya": (-1.292, 36.821),
|
||||
"libya": (26.335, 17.228),
|
||||
"mali": (17.570, -3.996),
|
||||
"niger": (17.607, 8.081),
|
||||
"somalia": (5.152, 46.199),
|
||||
"ethiopia": (9.145, 40.489),
|
||||
"australia": (-25.274, 133.775),
|
||||
"middle east": (31.500, 34.800),
|
||||
"europe": (48.800, 2.300),
|
||||
"africa": (0.000, 25.000),
|
||||
"america": (38.900, -77.000),
|
||||
"south america": (-14.200, -51.900),
|
||||
"asia": (34.000, 100.000),
|
||||
"california": (36.778, -119.417),
|
||||
"texas": (31.968, -99.901),
|
||||
"florida": (27.994, -81.760),
|
||||
"new york": (40.712, -74.006),
|
||||
"virginia": (37.431, -78.656),
|
||||
"british columbia": (53.726, -127.647),
|
||||
"ontario": (51.253, -85.323),
|
||||
"quebec": (52.939, -73.549),
|
||||
"delhi": (28.704, 77.102),
|
||||
"new delhi": (28.613, 77.209),
|
||||
"mumbai": (19.076, 72.877),
|
||||
"shanghai": (31.230, 121.473),
|
||||
"hong kong": (22.319, 114.169),
|
||||
"istanbul": (41.008, 28.978),
|
||||
"dubai": (25.204, 55.270),
|
||||
"singapore": (1.352, 103.819),
|
||||
"bangkok": (13.756, 100.501),
|
||||
"jakarta": (-6.208, 106.845),
|
||||
}
|
||||
|
||||
|
||||
def fetch_news():
|
||||
from services.news_feed_config import get_feeds
|
||||
feed_config = get_feeds()
|
||||
feeds = {f["name"]: f["url"] for f in feed_config}
|
||||
source_weights = {f["name"]: f["weight"] for f in feed_config}
|
||||
|
||||
clusters = {}
|
||||
_cluster_grid = {}
|
||||
|
||||
def _fetch_feed(item):
|
||||
source_name, url = item
|
||||
try:
|
||||
xml_data = fetch_with_curl(url, timeout=10).text
|
||||
return source_name, feedparser.parse(xml_data)
|
||||
except Exception as e:
|
||||
logger.warning(f"Feed {source_name} failed: {e}")
|
||||
return source_name, None
|
||||
|
||||
with concurrent.futures.ThreadPoolExecutor(max_workers=len(feeds)) as pool:
|
||||
feed_results = list(pool.map(_fetch_feed, feeds.items()))
|
||||
|
||||
for source_name, feed in feed_results:
|
||||
if not feed:
|
||||
continue
|
||||
for entry in feed.entries[:5]:
|
||||
title = entry.get('title', '')
|
||||
summary = entry.get('summary', '')
|
||||
|
||||
_seismic_kw = ["earthquake", "seismic", "quake", "tremor", "magnitude", "richter"]
|
||||
_text_lower = (title + " " + summary).lower()
|
||||
if any(kw in _text_lower for kw in _seismic_kw):
|
||||
continue
|
||||
|
||||
if source_name == "GDACS":
|
||||
alert_level = entry.get("gdacs_alertlevel", "Green")
|
||||
if alert_level == "Red": risk_score = 10
|
||||
elif alert_level == "Orange": risk_score = 7
|
||||
else: risk_score = 4
|
||||
else:
|
||||
risk_keywords = ['war', 'missile', 'strike', 'attack', 'crisis', 'tension', 'military', 'conflict', 'defense', 'clash', 'nuclear']
|
||||
text = (title + " " + summary).lower()
|
||||
|
||||
risk_score = 1
|
||||
for kw in risk_keywords:
|
||||
if kw in text:
|
||||
risk_score += 2
|
||||
risk_score = min(10, risk_score)
|
||||
|
||||
keyword_coords = _KEYWORD_COORDS
|
||||
|
||||
lat, lng = None, None
|
||||
|
||||
if 'georss_point' in entry:
|
||||
geo_parts = entry['georss_point'].split()
|
||||
if len(geo_parts) == 2:
|
||||
lat, lng = float(geo_parts[0]), float(geo_parts[1])
|
||||
elif 'where' in entry and hasattr(entry['where'], 'coordinates'):
|
||||
coords = entry['where'].coordinates
|
||||
lat, lng = coords[1], coords[0]
|
||||
|
||||
if lat is None:
|
||||
# text may not be defined yet for GDACS path
|
||||
text = (title + " " + summary).lower()
|
||||
padded_text = f" {text} "
|
||||
for kw, coords in keyword_coords.items():
|
||||
if kw.startswith(" ") or kw.endswith(" "):
|
||||
if kw in padded_text:
|
||||
lat, lng = coords
|
||||
break
|
||||
else:
|
||||
if re.search(r'\b' + re.escape(kw) + r'\b', text):
|
||||
lat, lng = coords
|
||||
break
|
||||
|
||||
if lat is not None:
|
||||
key = None
|
||||
cell_x, cell_y = int(lng // 4), int(lat // 4)
|
||||
for dx in range(-1, 2):
|
||||
for dy in range(-1, 2):
|
||||
for ckey in _cluster_grid.get((cell_x + dx, cell_y + dy), []):
|
||||
parts = ckey.split(",")
|
||||
elat, elng = float(parts[0]), float(parts[1])
|
||||
if ((lat - elat)**2 + (lng - elng)**2)**0.5 < 4.0:
|
||||
key = ckey
|
||||
break
|
||||
if key:
|
||||
break
|
||||
if key:
|
||||
break
|
||||
if key is None:
|
||||
key = f"{lat},{lng}"
|
||||
_cluster_grid.setdefault((cell_x, cell_y), []).append(key)
|
||||
else:
|
||||
key = title
|
||||
|
||||
if key not in clusters:
|
||||
clusters[key] = []
|
||||
|
||||
clusters[key].append({
|
||||
"title": title,
|
||||
"link": entry.get('link', ''),
|
||||
"published": entry.get('published', ''),
|
||||
"source": source_name,
|
||||
"risk_score": risk_score,
|
||||
"coords": [lat, lng] if lat is not None else None
|
||||
})
|
||||
|
||||
news_items = []
|
||||
for key, articles in clusters.items():
|
||||
articles.sort(key=lambda x: (x['risk_score'], source_weights.get(x["source"], 0)), reverse=True)
|
||||
max_risk = articles[0]['risk_score']
|
||||
|
||||
top_article = articles[0]
|
||||
news_items.append({
|
||||
"title": top_article["title"],
|
||||
"link": top_article["link"],
|
||||
"published": top_article["published"],
|
||||
"source": top_article["source"],
|
||||
"risk_score": max_risk,
|
||||
"coords": top_article["coords"],
|
||||
"cluster_count": len(articles),
|
||||
"articles": articles,
|
||||
"machine_assessment": None
|
||||
})
|
||||
|
||||
news_items.sort(key=lambda x: x['risk_score'], reverse=True)
|
||||
with _data_lock:
|
||||
latest_data['news'] = news_items
|
||||
_mark_fresh("news")
|
||||
@@ -0,0 +1,205 @@
|
||||
"""Plane-Alert DB — load and enrich aircraft with tracked metadata."""
|
||||
import os
|
||||
import json
|
||||
import logging
|
||||
|
||||
logger = logging.getLogger("services.data_fetcher")
|
||||
|
||||
# Exact category -> color mapping for all 53 known categories.
|
||||
# O(1) dict lookup — no keyword scanning, no false positives.
|
||||
_CATEGORY_COLOR: dict[str, str] = {
|
||||
# YELLOW — Military / Intelligence / Defense
|
||||
"USAF": "yellow",
|
||||
"Other Air Forces": "yellow",
|
||||
"Toy Soldiers": "yellow",
|
||||
"Oxcart": "yellow",
|
||||
"United States Navy": "yellow",
|
||||
"GAF": "yellow",
|
||||
"Hired Gun": "yellow",
|
||||
"United States Marine Corps": "yellow",
|
||||
"Gunship": "yellow",
|
||||
"RAF": "yellow",
|
||||
"Other Navies": "yellow",
|
||||
"Special Forces": "yellow",
|
||||
"Zoomies": "yellow",
|
||||
"Royal Navy Fleet Air Arm": "yellow",
|
||||
"Army Air Corps": "yellow",
|
||||
"Aerobatic Teams": "yellow",
|
||||
"UAV": "yellow",
|
||||
"Ukraine": "yellow",
|
||||
"Nuclear": "yellow",
|
||||
# LIME — Emergency / Medical / Rescue / Fire
|
||||
"Flying Doctors": "#32cd32",
|
||||
"Aerial Firefighter": "#32cd32",
|
||||
"Coastguard": "#32cd32",
|
||||
# BLUE — Government / Law Enforcement / Civil
|
||||
"Police Forces": "blue",
|
||||
"Governments": "blue",
|
||||
"Quango": "blue",
|
||||
"UK National Police Air Service": "blue",
|
||||
"CAP": "blue",
|
||||
# BLACK — Privacy / PIA
|
||||
"PIA": "black",
|
||||
# RED — Dictator / Oligarch
|
||||
"Dictator Alert": "red",
|
||||
"Da Comrade": "red",
|
||||
"Oligarch": "red",
|
||||
# HOT PINK — High Value Assets / VIP / Celebrity
|
||||
"Head of State": "#ff1493",
|
||||
"Royal Aircraft": "#ff1493",
|
||||
"Don't you know who I am?": "#ff1493",
|
||||
"As Seen on TV": "#ff1493",
|
||||
"Bizjets": "#ff1493",
|
||||
"Vanity Plate": "#ff1493",
|
||||
"Football": "#ff1493",
|
||||
# ORANGE — Joe Cool
|
||||
"Joe Cool": "orange",
|
||||
# WHITE — Climate Crisis
|
||||
"Climate Crisis": "white",
|
||||
# PURPLE — General Tracked / Other Notable
|
||||
"Historic": "purple",
|
||||
"Jump Johnny Jump": "purple",
|
||||
"Ptolemy would be proud": "purple",
|
||||
"Distinctive": "purple",
|
||||
"Dogs with Jobs": "purple",
|
||||
"You came here in that thing?": "purple",
|
||||
"Big Hello": "purple",
|
||||
"Watch Me Fly": "purple",
|
||||
"Perfectly Serviceable Aircraft": "purple",
|
||||
"Jesus he Knows me": "purple",
|
||||
"Gas Bags": "purple",
|
||||
"Radiohead": "purple",
|
||||
}
|
||||
|
||||
def _category_to_color(cat: str) -> str:
|
||||
"""O(1) exact lookup. Unknown categories default to purple."""
|
||||
return _CATEGORY_COLOR.get(cat, "purple")
|
||||
|
||||
_PLANE_ALERT_DB: dict = {}
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# POTUS Fleet — override colors and operator names for presidential aircraft.
|
||||
# ---------------------------------------------------------------------------
|
||||
_POTUS_FLEET: dict[str, dict] = {
|
||||
"ADFDF8": {"color": "#ff1493", "operator": "Air Force One (82-8000)", "category": "Head of State", "wiki": "Air_Force_One", "fleet": "AF1"},
|
||||
"ADFDF9": {"color": "#ff1493", "operator": "Air Force One (92-9000)", "category": "Head of State", "wiki": "Air_Force_One", "fleet": "AF1"},
|
||||
"ADFEB7": {"color": "blue", "operator": "Air Force Two (98-0001)", "category": "Governments", "wiki": "Air_Force_Two", "fleet": "AF2"},
|
||||
"ADFEB8": {"color": "blue", "operator": "Air Force Two (98-0002)", "category": "Governments", "wiki": "Air_Force_Two", "fleet": "AF2"},
|
||||
"ADFEB9": {"color": "blue", "operator": "Air Force Two (99-0003)", "category": "Governments", "wiki": "Air_Force_Two", "fleet": "AF2"},
|
||||
"ADFEBA": {"color": "blue", "operator": "Air Force Two (99-0004)", "category": "Governments", "wiki": "Air_Force_Two", "fleet": "AF2"},
|
||||
"AE4AE6": {"color": "blue", "operator": "Air Force Two (09-0015)", "category": "Governments", "wiki": "Air_Force_Two", "fleet": "AF2"},
|
||||
"AE4AE8": {"color": "blue", "operator": "Air Force Two (09-0016)", "category": "Governments", "wiki": "Air_Force_Two", "fleet": "AF2"},
|
||||
"AE4AEA": {"color": "blue", "operator": "Air Force Two (09-0017)", "category": "Governments", "wiki": "Air_Force_Two", "fleet": "AF2"},
|
||||
"AE4AEC": {"color": "blue", "operator": "Air Force Two (19-0018)", "category": "Governments", "wiki": "Air_Force_Two", "fleet": "AF2"},
|
||||
"AE0865": {"color": "#ff1493", "operator": "Marine One (VH-3D)", "category": "Head of State", "wiki": "Marine_One", "fleet": "M1"},
|
||||
"AE5E76": {"color": "#ff1493", "operator": "Marine One (VH-92A)", "category": "Head of State", "wiki": "Marine_One", "fleet": "M1"},
|
||||
"AE5E77": {"color": "#ff1493", "operator": "Marine One (VH-92A)", "category": "Head of State", "wiki": "Marine_One", "fleet": "M1"},
|
||||
"AE5E79": {"color": "#ff1493", "operator": "Marine One (VH-92A)", "category": "Head of State", "wiki": "Marine_One", "fleet": "M1"},
|
||||
}
|
||||
|
||||
def _load_plane_alert_db():
|
||||
"""Load plane_alert_db.json (exported from SQLite) into memory."""
|
||||
global _PLANE_ALERT_DB
|
||||
json_path = os.path.join(
|
||||
os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))),
|
||||
"data", "plane_alert_db.json"
|
||||
)
|
||||
if not os.path.exists(json_path):
|
||||
logger.warning(f"Plane-Alert DB not found at {json_path}")
|
||||
return
|
||||
try:
|
||||
with open(json_path, "r", encoding="utf-8") as fh:
|
||||
raw = json.load(fh)
|
||||
for icao_hex, info in raw.items():
|
||||
info["color"] = _category_to_color(info.get("category", ""))
|
||||
override = _POTUS_FLEET.get(icao_hex)
|
||||
if override:
|
||||
info["color"] = override["color"]
|
||||
info["operator"] = override["operator"]
|
||||
info["category"] = override["category"]
|
||||
info["wiki"] = override.get("wiki", "")
|
||||
info["potus_fleet"] = override.get("fleet", "")
|
||||
_PLANE_ALERT_DB[icao_hex] = info
|
||||
logger.info(f"Plane-Alert DB loaded: {len(_PLANE_ALERT_DB)} aircraft")
|
||||
except (IOError, OSError, json.JSONDecodeError, ValueError, KeyError) as e:
|
||||
logger.error(f"Failed to load Plane-Alert DB: {e}")
|
||||
|
||||
_load_plane_alert_db()
|
||||
|
||||
def enrich_with_plane_alert(flight: dict) -> dict:
|
||||
"""If flight's icao24 is in the Plane-Alert DB, add alert metadata."""
|
||||
icao = flight.get("icao24", "").strip().upper()
|
||||
if icao and icao in _PLANE_ALERT_DB:
|
||||
info = _PLANE_ALERT_DB[icao]
|
||||
flight["alert_category"] = info["category"]
|
||||
flight["alert_color"] = info["color"]
|
||||
flight["alert_operator"] = info["operator"]
|
||||
flight["alert_type"] = info["ac_type"]
|
||||
flight["alert_tags"] = info["tags"]
|
||||
flight["alert_link"] = info["link"]
|
||||
if info.get("wiki"):
|
||||
flight["alert_wiki"] = info["wiki"]
|
||||
if info.get("potus_fleet"):
|
||||
flight["potus_fleet"] = info["potus_fleet"]
|
||||
if info["registration"]:
|
||||
flight["registration"] = info["registration"]
|
||||
return flight
|
||||
|
||||
_TRACKED_NAMES_DB: dict = {}
|
||||
|
||||
def _load_tracked_names():
|
||||
global _TRACKED_NAMES_DB
|
||||
json_path = os.path.join(
|
||||
os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))),
|
||||
"data", "tracked_names.json"
|
||||
)
|
||||
if not os.path.exists(json_path):
|
||||
return
|
||||
try:
|
||||
with open(json_path, "r", encoding="utf-8") as f:
|
||||
data = json.load(f)
|
||||
for name, info in data.get("details", {}).items():
|
||||
cat = info.get("category", "Other")
|
||||
for reg in info.get("registrations", []):
|
||||
reg_clean = reg.strip().upper()
|
||||
if reg_clean:
|
||||
_TRACKED_NAMES_DB[reg_clean] = {"name": name, "category": cat}
|
||||
logger.info(f"Tracked Names DB loaded: {len(_TRACKED_NAMES_DB)} registrations")
|
||||
except (IOError, OSError, json.JSONDecodeError, ValueError, KeyError) as e:
|
||||
logger.error(f"Failed to load Tracked Names DB: {e}")
|
||||
|
||||
_load_tracked_names()
|
||||
|
||||
def enrich_with_tracked_names(flight: dict) -> dict:
|
||||
"""If flight's registration matches our Excel extraction, tag it as tracked."""
|
||||
icao = flight.get("icao24", "").strip().upper()
|
||||
if icao in _POTUS_FLEET:
|
||||
return flight
|
||||
|
||||
reg = flight.get("registration", "").strip().upper()
|
||||
callsign = flight.get("callsign", "").strip().upper()
|
||||
|
||||
match = None
|
||||
if reg and reg in _TRACKED_NAMES_DB:
|
||||
match = _TRACKED_NAMES_DB[reg]
|
||||
elif callsign and callsign in _TRACKED_NAMES_DB:
|
||||
match = _TRACKED_NAMES_DB[callsign]
|
||||
|
||||
if match:
|
||||
name = match["name"]
|
||||
flight["alert_operator"] = name
|
||||
flight["alert_category"] = match["category"]
|
||||
|
||||
name_lower = name.lower()
|
||||
is_gov = any(w in name_lower for w in ['state of ', 'government', 'republic', 'ministry', 'department', 'federal', 'cia'])
|
||||
is_law = any(w in name_lower for w in ['police', 'marshal', 'sheriff', 'douane', 'customs', 'patrol', 'gendarmerie', 'guardia', 'law enforcement'])
|
||||
is_med = any(w in name_lower for w in ['fire', 'bomberos', 'ambulance', 'paramedic', 'medevac', 'rescue', 'hospital', 'medical', 'lifeflight'])
|
||||
|
||||
if is_gov or is_law:
|
||||
flight["alert_color"] = "blue"
|
||||
elif is_med:
|
||||
flight["alert_color"] = "#32cd32"
|
||||
elif "alert_color" not in flight:
|
||||
flight["alert_color"] = "pink"
|
||||
|
||||
return flight
|
||||
@@ -0,0 +1,354 @@
|
||||
"""Satellite tracking — CelesTrak/TLE fetch, SGP4 propagation, intel classification."""
|
||||
import math
|
||||
import time
|
||||
import json
|
||||
import re
|
||||
import logging
|
||||
import concurrent.futures
|
||||
from pathlib import Path
|
||||
from datetime import datetime, timedelta
|
||||
from sgp4.api import Satrec, WGS72, jday
|
||||
from services.network_utils import fetch_with_curl
|
||||
from services.fetchers._store import latest_data, _data_lock, _mark_fresh
|
||||
|
||||
logger = logging.getLogger("services.data_fetcher")
|
||||
|
||||
|
||||
def _gmst(jd_ut1):
|
||||
"""Greenwich Mean Sidereal Time in radians from Julian Date."""
|
||||
t = (jd_ut1 - 2451545.0) / 36525.0
|
||||
gmst_sec = 67310.54841 + (876600.0 * 3600 + 8640184.812866) * t + 0.093104 * t * t - 6.2e-6 * t * t * t
|
||||
gmst_rad = (gmst_sec % 86400) / 86400.0 * 2 * math.pi
|
||||
return gmst_rad
|
||||
|
||||
|
||||
# Satellite GP data cache
|
||||
_sat_gp_cache = {"data": None, "last_fetch": 0, "source": "none"}
|
||||
_sat_classified_cache = {"data": None, "gp_fetch_ts": 0}
|
||||
_SAT_CACHE_PATH = Path(__file__).parent.parent.parent / "data" / "sat_gp_cache.json"
|
||||
|
||||
def _load_sat_cache():
|
||||
"""Load satellite GP data from local disk cache."""
|
||||
try:
|
||||
if _SAT_CACHE_PATH.exists():
|
||||
import os
|
||||
age_hours = (time.time() - os.path.getmtime(str(_SAT_CACHE_PATH))) / 3600
|
||||
if age_hours < 48:
|
||||
with open(_SAT_CACHE_PATH, "r") as f:
|
||||
data = json.load(f)
|
||||
if isinstance(data, list) and len(data) > 10:
|
||||
logger.info(f"Satellites: Loaded {len(data)} records from disk cache ({age_hours:.1f}h old)")
|
||||
return data
|
||||
else:
|
||||
logger.info(f"Satellites: Disk cache is {age_hours:.0f}h old, will try fresh fetch")
|
||||
except Exception as e:
|
||||
logger.warning(f"Satellites: Failed to load disk cache: {e}")
|
||||
return None
|
||||
|
||||
def _save_sat_cache(data):
|
||||
"""Save satellite GP data to local disk cache."""
|
||||
try:
|
||||
_SAT_CACHE_PATH.parent.mkdir(parents=True, exist_ok=True)
|
||||
with open(_SAT_CACHE_PATH, "w") as f:
|
||||
json.dump(data, f)
|
||||
logger.info(f"Satellites: Saved {len(data)} records to disk cache")
|
||||
except Exception as e:
|
||||
logger.warning(f"Satellites: Failed to save disk cache: {e}")
|
||||
|
||||
|
||||
# Satellite intelligence classification database
|
||||
_SAT_INTEL_DB = [
|
||||
("USA 224", {"country": "USA", "mission": "military_recon", "sat_type": "KH-11 Reconnaissance", "wiki": "https://en.wikipedia.org/wiki/KH-11_KENNEN"}),
|
||||
("USA 245", {"country": "USA", "mission": "military_recon", "sat_type": "KH-11 Reconnaissance", "wiki": "https://en.wikipedia.org/wiki/KH-11_KENNEN"}),
|
||||
("USA 290", {"country": "USA", "mission": "military_recon", "sat_type": "KH-11 Reconnaissance", "wiki": "https://en.wikipedia.org/wiki/KH-11_KENNEN"}),
|
||||
("USA 314", {"country": "USA", "mission": "military_recon", "sat_type": "KH-11 Reconnaissance", "wiki": "https://en.wikipedia.org/wiki/KH-11_KENNEN"}),
|
||||
("USA 338", {"country": "USA", "mission": "military_recon", "sat_type": "Keyhole Successor", "wiki": "https://en.wikipedia.org/wiki/KH-11_KENNEN"}),
|
||||
("TOPAZ", {"country": "Russia", "mission": "military_recon", "sat_type": "Optical Reconnaissance", "wiki": "https://en.wikipedia.org/wiki/Persona_(satellite)"}),
|
||||
("PERSONA", {"country": "Russia", "mission": "military_recon", "sat_type": "Optical Reconnaissance", "wiki": "https://en.wikipedia.org/wiki/Persona_(satellite)"}),
|
||||
("KONDOR", {"country": "Russia", "mission": "military_sar", "sat_type": "SAR Reconnaissance", "wiki": "https://en.wikipedia.org/wiki/Kondor_(satellite)"}),
|
||||
("BARS-M", {"country": "Russia", "mission": "military_recon", "sat_type": "Mapping Reconnaissance", "wiki": "https://en.wikipedia.org/wiki/Bars-M"}),
|
||||
("YAOGAN", {"country": "China", "mission": "military_recon", "sat_type": "Remote Sensing / ELINT", "wiki": "https://en.wikipedia.org/wiki/Yaogan"}),
|
||||
("GAOFEN", {"country": "China", "mission": "military_recon", "sat_type": "High-Res Imaging", "wiki": "https://en.wikipedia.org/wiki/Gaofen"}),
|
||||
("JILIN", {"country": "China", "mission": "commercial_imaging", "sat_type": "Video / Imaging", "wiki": "https://en.wikipedia.org/wiki/Jilin-1"}),
|
||||
("OFEK", {"country": "Israel", "mission": "military_recon", "sat_type": "Reconnaissance", "wiki": "https://en.wikipedia.org/wiki/Ofeq"}),
|
||||
("CSO", {"country": "France", "mission": "military_recon", "sat_type": "Optical Reconnaissance", "wiki": "https://en.wikipedia.org/wiki/CSO_(satellite)"}),
|
||||
("IGS", {"country": "Japan", "mission": "military_recon", "sat_type": "Intelligence Gathering", "wiki": "https://en.wikipedia.org/wiki/Information_Gathering_Satellite"}),
|
||||
("CAPELLA", {"country": "USA", "mission": "sar", "sat_type": "SAR Imaging", "wiki": "https://en.wikipedia.org/wiki/Capella_Space"}),
|
||||
("ICEYE", {"country": "Finland", "mission": "sar", "sat_type": "SAR Microsatellite", "wiki": "https://en.wikipedia.org/wiki/ICEYE"}),
|
||||
("COSMO-SKYMED", {"country": "Italy", "mission": "sar", "sat_type": "SAR Constellation", "wiki": "https://en.wikipedia.org/wiki/COSMO-SkyMed"}),
|
||||
("TANDEM", {"country": "Germany", "mission": "sar", "sat_type": "SAR Interferometry", "wiki": "https://en.wikipedia.org/wiki/TanDEM-X"}),
|
||||
("PAZ", {"country": "Spain", "mission": "sar", "sat_type": "SAR Imaging", "wiki": "https://en.wikipedia.org/wiki/PAZ_(satellite)"}),
|
||||
("WORLDVIEW", {"country": "USA", "mission": "commercial_imaging", "sat_type": "Maxar High-Res", "wiki": "https://en.wikipedia.org/wiki/WorldView-3"}),
|
||||
("GEOEYE", {"country": "USA", "mission": "commercial_imaging", "sat_type": "Maxar Imaging", "wiki": "https://en.wikipedia.org/wiki/GeoEye-1"}),
|
||||
("PLEIADES", {"country": "France", "mission": "commercial_imaging", "sat_type": "Airbus Imaging", "wiki": "https://en.wikipedia.org/wiki/Pl%C3%A9iades_(satellite)"}),
|
||||
("SPOT", {"country": "France", "mission": "commercial_imaging", "sat_type": "Airbus Medium-Res", "wiki": "https://en.wikipedia.org/wiki/SPOT_(satellite)"}),
|
||||
("PLANET", {"country": "USA", "mission": "commercial_imaging", "sat_type": "PlanetScope", "wiki": "https://en.wikipedia.org/wiki/Planet_Labs"}),
|
||||
("SKYSAT", {"country": "USA", "mission": "commercial_imaging", "sat_type": "Planet Video", "wiki": "https://en.wikipedia.org/wiki/SkySat"}),
|
||||
("BLACKSKY", {"country": "USA", "mission": "commercial_imaging", "sat_type": "BlackSky Imaging", "wiki": "https://en.wikipedia.org/wiki/BlackSky"}),
|
||||
("NROL", {"country": "USA", "mission": "sigint", "sat_type": "Classified NRO", "wiki": "https://en.wikipedia.org/wiki/National_Reconnaissance_Office"}),
|
||||
("MENTOR", {"country": "USA", "mission": "sigint", "sat_type": "SIGINT / ELINT", "wiki": "https://en.wikipedia.org/wiki/Mentor_(satellite)"}),
|
||||
("LUCH", {"country": "Russia", "mission": "sigint", "sat_type": "Relay / SIGINT", "wiki": "https://en.wikipedia.org/wiki/Luch_(satellite)"}),
|
||||
("SHIJIAN", {"country": "China", "mission": "sigint", "sat_type": "ELINT / Tech Demo", "wiki": "https://en.wikipedia.org/wiki/Shijian"}),
|
||||
("NAVSTAR", {"country": "USA", "mission": "navigation", "sat_type": "GPS", "wiki": "https://en.wikipedia.org/wiki/GPS_satellite_blocks"}),
|
||||
("GLONASS", {"country": "Russia", "mission": "navigation", "sat_type": "GLONASS", "wiki": "https://en.wikipedia.org/wiki/GLONASS"}),
|
||||
("BEIDOU", {"country": "China", "mission": "navigation", "sat_type": "BeiDou", "wiki": "https://en.wikipedia.org/wiki/BeiDou"}),
|
||||
("GALILEO", {"country": "EU", "mission": "navigation", "sat_type": "Galileo", "wiki": "https://en.wikipedia.org/wiki/Galileo_(satellite_navigation)"}),
|
||||
("SBIRS", {"country": "USA", "mission": "early_warning", "sat_type": "Missile Warning", "wiki": "https://en.wikipedia.org/wiki/Space-Based_Infrared_System"}),
|
||||
("TUNDRA", {"country": "Russia", "mission": "early_warning", "sat_type": "Missile Warning", "wiki": "https://en.wikipedia.org/wiki/Tundra_(satellite)"}),
|
||||
("ISS", {"country": "Intl", "mission": "space_station", "sat_type": "Space Station", "wiki": "https://en.wikipedia.org/wiki/International_Space_Station"}),
|
||||
("TIANGONG", {"country": "China", "mission": "space_station", "sat_type": "Space Station", "wiki": "https://en.wikipedia.org/wiki/Tiangong_space_station"}),
|
||||
]
|
||||
|
||||
|
||||
def _parse_tle_to_gp(name, norad_id, line1, line2):
|
||||
"""Convert TLE two-line element to CelesTrak GP-style dict."""
|
||||
try:
|
||||
incl = float(line2[8:16].strip())
|
||||
raan = float(line2[17:25].strip())
|
||||
ecc = float("0." + line2[26:33].strip())
|
||||
argp = float(line2[34:42].strip())
|
||||
ma = float(line2[43:51].strip())
|
||||
mm = float(line2[52:63].strip())
|
||||
bstar_str = line1[53:61].strip()
|
||||
if bstar_str:
|
||||
mantissa = float(bstar_str[:-2]) / 1e5
|
||||
exponent = int(bstar_str[-2:])
|
||||
bstar = mantissa * (10 ** exponent)
|
||||
else:
|
||||
bstar = 0.0
|
||||
epoch_yr = int(line1[18:20])
|
||||
epoch_day = float(line1[20:32].strip())
|
||||
year = 2000 + epoch_yr if epoch_yr < 57 else 1900 + epoch_yr
|
||||
epoch_dt = datetime(year, 1, 1) + timedelta(days=epoch_day - 1)
|
||||
return {
|
||||
"OBJECT_NAME": name,
|
||||
"NORAD_CAT_ID": norad_id,
|
||||
"MEAN_MOTION": mm,
|
||||
"ECCENTRICITY": ecc,
|
||||
"INCLINATION": incl,
|
||||
"RA_OF_ASC_NODE": raan,
|
||||
"ARG_OF_PERICENTER": argp,
|
||||
"MEAN_ANOMALY": ma,
|
||||
"BSTAR": bstar,
|
||||
"EPOCH": epoch_dt.strftime("%Y-%m-%dT%H:%M:%S"),
|
||||
}
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
|
||||
def _fetch_satellites_from_tle_api():
|
||||
"""Fallback: fetch satellite TLEs from tle.ivanstanojevic.me when CelesTrak is blocked."""
|
||||
search_terms = set()
|
||||
for key, _ in _SAT_INTEL_DB:
|
||||
term = key.split()[0] if len(key.split()) > 1 and key.split()[0] in ("USA", "NROL") else key
|
||||
search_terms.add(term)
|
||||
|
||||
def _fetch_term(term):
|
||||
results = []
|
||||
try:
|
||||
url = f"https://tle.ivanstanojevic.me/api/tle/?search={term}&page_size=100&format=json"
|
||||
response = fetch_with_curl(url, timeout=8)
|
||||
if response.status_code != 200:
|
||||
return results
|
||||
data = response.json()
|
||||
for member in data.get("member", []):
|
||||
gp = _parse_tle_to_gp(
|
||||
member.get("name", "UNKNOWN"),
|
||||
member.get("satelliteId"),
|
||||
member.get("line1", ""),
|
||||
member.get("line2", ""),
|
||||
)
|
||||
if gp:
|
||||
results.append(gp)
|
||||
except Exception as e:
|
||||
logger.debug(f"TLE fallback search '{term}' failed: {e}")
|
||||
return results
|
||||
|
||||
all_results = []
|
||||
seen_ids = set()
|
||||
with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
|
||||
future_map = {executor.submit(_fetch_term, term): term for term in search_terms}
|
||||
for future in concurrent.futures.as_completed(future_map):
|
||||
for gp in future.result():
|
||||
sat_id = gp.get("NORAD_CAT_ID")
|
||||
if sat_id not in seen_ids:
|
||||
seen_ids.add(sat_id)
|
||||
all_results.append(gp)
|
||||
|
||||
return all_results
|
||||
|
||||
|
||||
def fetch_satellites():
|
||||
sats = []
|
||||
try:
|
||||
now_ts = time.time()
|
||||
if _sat_gp_cache["data"] is None or (now_ts - _sat_gp_cache["last_fetch"]) > 1800:
|
||||
gp_urls = [
|
||||
"https://celestrak.org/NORAD/elements/gp.php?GROUP=active&FORMAT=json",
|
||||
"https://celestrak.com/NORAD/elements/gp.php?GROUP=active&FORMAT=json",
|
||||
]
|
||||
for url in gp_urls:
|
||||
try:
|
||||
response = fetch_with_curl(url, timeout=5)
|
||||
if response.status_code == 200:
|
||||
gp_data = response.json()
|
||||
if isinstance(gp_data, list) and len(gp_data) > 100:
|
||||
_sat_gp_cache["data"] = gp_data
|
||||
_sat_gp_cache["last_fetch"] = now_ts
|
||||
_sat_gp_cache["source"] = "celestrak"
|
||||
_save_sat_cache(gp_data)
|
||||
logger.info(f"Satellites: Downloaded {len(gp_data)} GP records from {url}")
|
||||
break
|
||||
except Exception as e:
|
||||
logger.warning(f"Satellites: Failed to fetch from {url}: {e}")
|
||||
continue
|
||||
|
||||
if _sat_gp_cache["data"] is None:
|
||||
logger.info("Satellites: CelesTrak unreachable, trying TLE fallback API...")
|
||||
try:
|
||||
fallback_data = _fetch_satellites_from_tle_api()
|
||||
if fallback_data and len(fallback_data) > 10:
|
||||
_sat_gp_cache["data"] = fallback_data
|
||||
_sat_gp_cache["last_fetch"] = now_ts
|
||||
_sat_gp_cache["source"] = "tle_api"
|
||||
_save_sat_cache(fallback_data)
|
||||
logger.info(f"Satellites: Got {len(fallback_data)} records from TLE fallback API")
|
||||
except Exception as e:
|
||||
logger.error(f"Satellites: TLE fallback also failed: {e}")
|
||||
|
||||
if _sat_gp_cache["data"] is None:
|
||||
disk_data = _load_sat_cache()
|
||||
if disk_data:
|
||||
_sat_gp_cache["data"] = disk_data
|
||||
_sat_gp_cache["last_fetch"] = now_ts - 1500
|
||||
_sat_gp_cache["source"] = "disk_cache"
|
||||
|
||||
data = _sat_gp_cache["data"]
|
||||
if not data:
|
||||
logger.warning("No satellite GP data available from any source")
|
||||
with _data_lock:
|
||||
latest_data["satellites"] = sats
|
||||
return
|
||||
|
||||
if _sat_classified_cache["gp_fetch_ts"] == _sat_gp_cache["last_fetch"] and _sat_classified_cache["data"]:
|
||||
classified = _sat_classified_cache["data"]
|
||||
logger.info(f"Satellites: Using cached classification ({len(classified)} sats, TLEs unchanged)")
|
||||
else:
|
||||
classified = []
|
||||
for sat in data:
|
||||
name = sat.get("OBJECT_NAME", "UNKNOWN").upper()
|
||||
intel = None
|
||||
for key, meta in _SAT_INTEL_DB:
|
||||
if key.upper() in name:
|
||||
intel = dict(meta)
|
||||
break
|
||||
if not intel:
|
||||
continue
|
||||
entry = {
|
||||
"id": sat.get("NORAD_CAT_ID"),
|
||||
"name": sat.get("OBJECT_NAME", "UNKNOWN"),
|
||||
"MEAN_MOTION": sat.get("MEAN_MOTION"),
|
||||
"ECCENTRICITY": sat.get("ECCENTRICITY"),
|
||||
"INCLINATION": sat.get("INCLINATION"),
|
||||
"RA_OF_ASC_NODE": sat.get("RA_OF_ASC_NODE"),
|
||||
"ARG_OF_PERICENTER": sat.get("ARG_OF_PERICENTER"),
|
||||
"MEAN_ANOMALY": sat.get("MEAN_ANOMALY"),
|
||||
"BSTAR": sat.get("BSTAR"),
|
||||
"EPOCH": sat.get("EPOCH"),
|
||||
}
|
||||
entry.update(intel)
|
||||
classified.append(entry)
|
||||
_sat_classified_cache["data"] = classified
|
||||
_sat_classified_cache["gp_fetch_ts"] = _sat_gp_cache["last_fetch"]
|
||||
logger.info(f"Satellites: {len(classified)} intel-classified out of {len(data)} total in catalog")
|
||||
|
||||
all_sats = classified
|
||||
|
||||
now = datetime.utcnow()
|
||||
jd, fr = jday(now.year, now.month, now.day, now.hour, now.minute, now.second + now.microsecond / 1e6)
|
||||
|
||||
for s in all_sats:
|
||||
try:
|
||||
mean_motion = s.get('MEAN_MOTION')
|
||||
ecc = s.get('ECCENTRICITY')
|
||||
incl = s.get('INCLINATION')
|
||||
raan = s.get('RA_OF_ASC_NODE')
|
||||
argp = s.get('ARG_OF_PERICENTER')
|
||||
ma = s.get('MEAN_ANOMALY')
|
||||
bstar = s.get('BSTAR', 0)
|
||||
epoch_str = s.get('EPOCH')
|
||||
norad_id = s.get('id', 0)
|
||||
|
||||
if mean_motion is None or ecc is None or incl is None:
|
||||
continue
|
||||
|
||||
epoch_dt = datetime.strptime(epoch_str[:19], '%Y-%m-%dT%H:%M:%S')
|
||||
epoch_jd, epoch_fr = jday(epoch_dt.year, epoch_dt.month, epoch_dt.day,
|
||||
epoch_dt.hour, epoch_dt.minute, epoch_dt.second)
|
||||
|
||||
sat_obj = Satrec()
|
||||
sat_obj.sgp4init(
|
||||
WGS72, 'i', norad_id,
|
||||
(epoch_jd + epoch_fr) - 2433281.5,
|
||||
bstar, 0.0, 0.0, ecc,
|
||||
math.radians(argp), math.radians(incl),
|
||||
math.radians(ma),
|
||||
mean_motion * 2 * math.pi / 1440.0,
|
||||
math.radians(raan)
|
||||
)
|
||||
|
||||
e, r, v = sat_obj.sgp4(jd, fr)
|
||||
if e != 0:
|
||||
continue
|
||||
|
||||
x, y, z = r
|
||||
gmst = _gmst(jd + fr)
|
||||
lng_rad = math.atan2(y, x) - gmst
|
||||
lat_rad = math.atan2(z, math.sqrt(x*x + y*y))
|
||||
alt_km = math.sqrt(x*x + y*y + z*z) - 6371.0
|
||||
|
||||
s['lat'] = round(math.degrees(lat_rad), 4)
|
||||
lng_deg = math.degrees(lng_rad) % 360
|
||||
s['lng'] = round(lng_deg - 360 if lng_deg > 180 else lng_deg, 4)
|
||||
s['alt_km'] = round(alt_km, 1)
|
||||
|
||||
vx, vy, vz = v
|
||||
omega_e = 7.2921159e-5
|
||||
vx_g = vx + omega_e * y
|
||||
vy_g = vy - omega_e * x
|
||||
vz_g = vz
|
||||
cos_lat = math.cos(lat_rad)
|
||||
sin_lat = math.sin(lat_rad)
|
||||
cos_lng = math.cos(lng_rad + gmst)
|
||||
sin_lng = math.sin(lng_rad + gmst)
|
||||
v_east = -sin_lng * vx_g + cos_lng * vy_g
|
||||
v_north = -sin_lat * cos_lng * vx_g - sin_lat * sin_lng * vy_g + cos_lat * vz_g
|
||||
ground_speed_kms = math.sqrt(v_east**2 + v_north**2)
|
||||
s['speed_knots'] = round(ground_speed_kms * 1943.84, 1)
|
||||
heading_rad = math.atan2(v_east, v_north)
|
||||
s['heading'] = round(math.degrees(heading_rad) % 360, 1)
|
||||
sat_name = s.get('name', '')
|
||||
usa_match = re.search(r'USA[\s\-]*(\d+)', sat_name)
|
||||
if usa_match:
|
||||
s['wiki'] = f"https://en.wikipedia.org/wiki/USA-{usa_match.group(1)}"
|
||||
for k in ('MEAN_MOTION', 'ECCENTRICITY', 'INCLINATION',
|
||||
'RA_OF_ASC_NODE', 'ARG_OF_PERICENTER', 'MEAN_ANOMALY',
|
||||
'BSTAR', 'EPOCH', 'tle1', 'tle2'):
|
||||
s.pop(k, None)
|
||||
sats.append(s)
|
||||
except Exception:
|
||||
continue
|
||||
|
||||
logger.info(f"Satellites: {len(classified)} classified, {len(sats)} positioned")
|
||||
except Exception as e:
|
||||
logger.error(f"Error fetching satellites: {e}")
|
||||
if sats:
|
||||
with _data_lock:
|
||||
latest_data["satellites"] = sats
|
||||
latest_data["satellite_source"] = _sat_gp_cache.get("source", "none")
|
||||
_mark_fresh("satellites")
|
||||
else:
|
||||
with _data_lock:
|
||||
if not latest_data.get("satellites"):
|
||||
latest_data["satellites"] = []
|
||||
latest_data["satellite_source"] = "none"
|
||||
Reference in new issue
Block a user