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
This commit is contained in:
anoracleofra-code
2026-03-13 11:32:16 -06:00
co-authored by Claude Opus 4.6
parent 1eb2b21647
commit fc9eff865e
62 changed files with 4930 additions and 4852 deletions
+17 -1
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@@ -4,13 +4,29 @@ __pycache__/
.env
.pytest_cache/
.coverage
.git/
node_modules/
cctv.db
*.sqlite
*.db
# Debug/log files
*.txt
!requirements.txt
# Exclude debug/cache JSON but keep package.json and tracked_names
!requirements-dev.txt
*.html
*.xlsx
# Debug/cache JSON (keep package*.json and data files)
ais_cache.json
carrier_cache.json
carrier_positions.json
dump.json
debug_fast.json
nyc_full.json
nyc_sample.json
tmp_fast.json
# Test files (not needed in production image)
test_*.py
tests/
+3 -2
View File
@@ -11,12 +11,13 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
# Install Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
RUN pip install --no-cache-dir -r requirements.txt \
&& playwright install --with-deps chromium
# Install Node.js dependencies (ws module for AIS WebSocket proxy)
# Copy manifests first so this layer is cached unless deps change
COPY package*.json ./
RUN npm install --omit=dev
RUN npm ci --omit=dev
# Copy source code
COPY . .
-17
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@@ -1,17 +0,0 @@
import requests
regions = [
{"lat": 39.8, "lon": -98.5, "dist": 2000}, # USA
{"lat": 50.0, "lon": 15.0, "dist": 2000}, # Europe
{"lat": 35.0, "lon": 105.0, "dist": 2000} # Asia / China
]
for r in regions:
url = f"https://api.adsb.lol/v2/lat/{r['lat']}/lon/{r['lon']}/dist/{r['dist']}"
res = requests.get(url, timeout=10)
if res.status_code == 200:
data = res.json()
acs = data.get("ac", [])
print(f"Region lat:{r['lat']} lon:{r['lon']} dist:{r['dist']} -> Flights: {len(acs)}")
else:
print(f"Error for Region lat:{r['lat']} lon:{r['lon']}: HTTP {res.status_code}")
-10
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@@ -1,10 +0,0 @@
import sqlite3
import os
db_path = os.path.join(os.path.dirname(__file__), 'cctv.db')
conn = sqlite3.connect(db_path)
cur = conn.cursor()
cur.execute("DELETE FROM cameras WHERE id LIKE 'OSM-%'")
print(f"Deleted {cur.rowcount} OSM cameras from DB.")
conn.commit()
conn.close()
File diff suppressed because one or more lines are too long
-25
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@@ -1,25 +0,0 @@
import re
import json
try:
with open('liveua_test.html', 'r', encoding='utf-8') as f:
html = f.read()
m = re.search(r"var\s+ovens\s*=\s*(.*?);(?!function)", html, re.DOTALL)
if m:
json_str = m.group(1)
# Handle if it is a string containing base64
if json_str.startswith("'") or json_str.startswith('"'):
json_str = json_str.strip('"\'')
import base64
import urllib.parse
json_str = base64.b64decode(urllib.parse.unquote(json_str)).decode('utf-8')
data = json.loads(json_str)
with open('out_liveua.json', 'w', encoding='utf-8') as f:
json.dump(data, f, indent=2)
print(f"Successfully extracted {len(data)} ovens items.")
else:
print("var ovens not found.")
except Exception as e:
print("Error:", e)
-166
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@@ -1,166 +0,0 @@
"""
Geocode data center street addresses via Nominatim (OpenStreetMap).
Rate limit: 1 request/second (Nominatim policy).
Resumable: caches results in geocode_cache.json so interrupted runs can continue.
"""
import json
import time
import urllib.request
import urllib.parse
import os
import sys
# Fix Windows console encoding + force unbuffered output
if sys.platform == "win32":
sys.stdout.reconfigure(encoding="utf-8", errors="replace")
sys.stderr.reconfigure(encoding="utf-8", errors="replace")
# Force line-buffered stdout for detached processes
class Unbuffered:
def __init__(self, stream):
self.stream = stream
def write(self, data):
self.stream.write(data)
self.stream.flush()
def writelines(self, datas):
self.stream.writelines(datas)
self.stream.flush()
def __getattr__(self, attr):
return getattr(self.stream, attr)
sys.stdout = Unbuffered(sys.stdout)
DATA_FILE = os.path.join(os.path.dirname(__file__), "data", "datacenters.json")
CACHE_FILE = os.path.join(os.path.dirname(__file__), "data", "geocode_cache.json")
OUTPUT_FILE = os.path.join(os.path.dirname(__file__), "data", "datacenters_geocoded.json")
NOMINATIM_URL = "https://nominatim.openstreetmap.org/search"
USER_AGENT = "ShadowBroker-DataCenterGeocoder/1.0"
def geocode_address(address: str, retries: int = 3) -> tuple[float, float] | None:
"""Geocode a single address via Nominatim. Returns (lat, lng) or None."""
params = urllib.parse.urlencode({"q": address, "format": "json", "limit": 1})
url = f"{NOMINATIM_URL}?{params}"
for attempt in range(retries):
req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT})
try:
resp = urllib.request.urlopen(req, timeout=15)
data = json.loads(resp.read())
if data:
return float(data[0]["lat"]), float(data[0]["lon"])
return None # Valid response but no results
except Exception as e:
if attempt < retries - 1:
wait = 2 ** (attempt + 1)
print(f" RETRY ({attempt+1}/{retries}): {e} — waiting {wait}s")
time.sleep(wait)
else:
print(f" ERROR (gave up after {retries} attempts): {e}")
return None
def main():
with open(DATA_FILE, "r", encoding="utf-8") as f:
dcs = json.load(f)
# Load cache
cache = {}
if os.path.exists(CACHE_FILE):
with open(CACHE_FILE, "r", encoding="utf-8") as f:
cache = json.load(f)
print(f"Loaded {len(cache)} cached geocode results")
# Filter to DCs with real street addresses
to_geocode = []
skipped = 0
for i, dc in enumerate(dcs):
street = (dc.get("street") or "").strip()
if not street or len(street) <= 3 or street.lower() in ("tbc", "n/a", "na", "-"):
skipped += 1
continue
to_geocode.append((i, dc))
print(f"Total DCs: {len(dcs)}")
print(f"Skipped (no real address): {skipped}")
print(f"To geocode: {len(to_geocode)}")
# Count how many already cached
already_cached = sum(1 for _, dc in to_geocode if dc.get("address", "") in cache)
need_api = len(to_geocode) - already_cached
print(f"Already cached: {already_cached}")
print(f"Need API calls: {need_api}")
if need_api > 0:
print(f"Estimated time: {need_api // 60}m {need_api % 60}s")
print()
geocoded = 0
failed = 0
api_calls = 0
save_interval = 50 # Save cache every 50 API calls
for idx, (i, dc) in enumerate(to_geocode):
address = dc.get("address", "").strip()
if not address:
# Build address from parts
parts = [dc.get("street", ""), dc.get("zip", ""), dc.get("city", ""), dc.get("country", "")]
address = " ".join(p.strip() for p in parts if p and p.strip())
if not address:
failed += 1
continue
# Check cache first
if address in cache:
result = cache[address]
if result:
dcs[i]["lat"] = result[0]
dcs[i]["lng"] = result[1]
dcs[i]["geocode_source"] = "nominatim"
geocoded += 1
else:
failed += 1
continue
# API call — Nominatim requires 1 req/s, use 1.5s to avoid 429s after heavy use
time.sleep(1.5)
coords = geocode_address(address)
api_calls += 1
if coords:
cache[address] = coords
dcs[i]["lat"] = coords[0]
dcs[i]["lng"] = coords[1]
dcs[i]["geocode_source"] = "nominatim"
geocoded += 1
print(f"[{api_calls}/{need_api}] OK: {dc.get('name', '?')} -> ({coords[0]:.4f}, {coords[1]:.4f})")
else:
cache[address] = None
failed += 1
print(f"[{api_calls}/{need_api}] FAIL: {dc.get('name', '?')} | {address}")
# Periodic cache save
if api_calls % save_interval == 0:
with open(CACHE_FILE, "w", encoding="utf-8") as f:
json.dump(cache, f)
print(f" -- Cache saved ({len(cache)} entries) --")
# Final save
with open(CACHE_FILE, "w", encoding="utf-8") as f:
json.dump(cache, f)
# Write output - only DCs with real coordinates
output = [dc for dc in dcs if dc.get("lat") is not None and dc.get("lng") is not None]
with open(OUTPUT_FILE, "w", encoding="utf-8") as f:
json.dump(output, f, indent=2)
print(f"\nDone!")
print(f"Geocoded: {geocoded}")
print(f"Failed: {failed}")
print(f"API calls made: {api_calls}")
print(f"Output: {len(output)} DCs with coordinates -> {OUTPUT_FILE}")
if __name__ == "__main__":
main()
+94 -13
View File
@@ -35,17 +35,22 @@ for _var in _SECRET_VARS:
except Exception as _e:
logger.error(f"Failed to read secret file {_file_path} for {_var}: {_e}")
from fastapi import FastAPI, Request, Response
from fastapi import FastAPI, Request, Response, Query
from fastapi.middleware.cors import CORSMiddleware
from contextlib import asynccontextmanager
from services.data_fetcher import start_scheduler, stop_scheduler, get_latest_data, source_timestamps
from services.ais_stream import start_ais_stream, stop_ais_stream
from services.carrier_tracker import start_carrier_tracker, stop_carrier_tracker
from slowapi import Limiter, _rate_limit_exceeded_handler
from slowapi.util import get_remote_address
from slowapi.errors import RateLimitExceeded
import uvicorn
import hashlib
import json as json_mod
import socket
limiter = Limiter(key_func=get_remote_address)
def _build_cors_origins():
"""Build a CORS origins whitelist: localhost + LAN IPs + env overrides.
@@ -74,10 +79,32 @@ def _build_cors_origins():
@asynccontextmanager
async def lifespan(app: FastAPI):
# Startup: Start background data fetching, AIS stream, and carrier tracker
start_carrier_tracker()
import threading
# Start AIS stream first — it loads the disk cache (instant ships) then
# begins accumulating live vessel data via WebSocket in the background.
start_ais_stream()
# Carrier tracker runs its own initial update_carrier_positions() internally
# in _scheduler_loop, so we do NOT call it again in the preload thread.
start_carrier_tracker()
# Start the recurring scheduler (fast=60s, slow=30min).
start_scheduler()
# Kick off the full data preload in a background thread so the server
# is listening on port 8000 instantly. The frontend's adaptive polling
# (retries every 3s) will pick up data piecemeal as each fetcher finishes.
def _background_preload():
logger.info("=== PRELOADING DATA (background — server already accepting requests) ===")
try:
update_all_data()
logger.info("=== PRELOAD COMPLETE ===")
except Exception as e:
logger.error(f"Data preload failed (non-fatal): {e}")
threading.Thread(target=_background_preload, daemon=True).start()
yield
# Shutdown: Stop all background services
stop_ais_stream()
@@ -85,6 +112,8 @@ async def lifespan(app: FastAPI):
stop_carrier_tracker()
app = FastAPI(title="Live Risk Dashboard API", lifespan=lifespan)
app.state.limiter = limiter
app.add_exception_handler(RateLimitExceeded, _rate_limit_exceeded_handler)
from fastapi.middleware.gzip import GZipMiddleware
app.add_middleware(GZipMiddleware, minimum_size=1000)
@@ -98,11 +127,23 @@ app.add_middleware(
from services.data_fetcher import update_all_data
_refresh_in_progress = False
@app.get("/api/refresh")
async def force_refresh():
# Force an immediate synchronous update of the data payload
@limiter.limit("2/minute")
async def force_refresh(request: Request):
global _refresh_in_progress
if _refresh_in_progress:
return {"status": "refresh already in progress"}
import threading
t = threading.Thread(target=update_all_data)
def _do_refresh():
global _refresh_in_progress
try:
update_all_data()
finally:
_refresh_in_progress = False
_refresh_in_progress = True
t = threading.Thread(target=_do_refresh)
t.start()
return {"status": "refreshing in background"}
@@ -113,13 +154,14 @@ async def live_data():
def _etag_response(request: Request, payload: dict, prefix: str = "", default=None):
"""Serialize once, hash the bytes for ETag, return 304 or full response."""
content = json_mod.dumps(payload, default=default)
etag = hashlib.md5(f"{prefix}{content[:256]}".encode()).hexdigest()[:16]
etag = hashlib.md5(f"{prefix}{content}".encode()).hexdigest()[:16]
if request.headers.get("if-none-match") == etag:
return Response(status_code=304, headers={"ETag": etag, "Cache-Control": "no-cache"})
return Response(content=content, media_type="application/json",
headers={"ETag": etag, "Cache-Control": "no-cache"})
@app.get("/api/live-data/fast")
@limiter.limit("120/minute")
async def live_data_fast(request: Request):
d = get_latest_data()
payload = {
@@ -140,6 +182,7 @@ async def live_data_fast(request: Request):
return _etag_response(request, payload, prefix="fast|")
@app.get("/api/live-data/slow")
@limiter.limit("60/minute")
async def live_data_slow(request: Request):
d = get_latest_data()
payload = {
@@ -210,13 +253,20 @@ async def api_get_openmhz_calls(sys_name: str):
return get_recent_openmhz_calls(sys_name)
@app.get("/api/radio/nearest")
async def api_get_nearest_radio(lat: float, lng: float):
async def api_get_nearest_radio(
lat: float = Query(..., ge=-90, le=90),
lng: float = Query(..., ge=-180, le=180),
):
return find_nearest_openmhz_system(lat, lng)
from services.radio_intercept import find_nearest_openmhz_systems_list
@app.get("/api/radio/nearest-list")
async def api_get_nearest_radios_list(lat: float, lng: float, limit: int = 5):
async def api_get_nearest_radios_list(
lat: float = Query(..., ge=-90, le=90),
lng: float = Query(..., ge=-180, le=180),
limit: int = Query(5, ge=1, le=20),
):
return find_nearest_openmhz_systems_list(lat, lng, limit=limit)
from services.network_utils import fetch_with_curl
@@ -249,14 +299,24 @@ async def get_flight_route(callsign: str, lat: float = 0.0, lng: float = 0.0):
from services.region_dossier import get_region_dossier
@app.get("/api/region-dossier")
def api_region_dossier(lat: float, lng: float):
@limiter.limit("30/minute")
def api_region_dossier(
request: Request,
lat: float = Query(..., ge=-90, le=90),
lng: float = Query(..., ge=-180, le=180),
):
"""Sync def so FastAPI runs it in a threadpool — prevents blocking the event loop."""
return get_region_dossier(lat, lng)
from services.sentinel_search import search_sentinel2_scene
@app.get("/api/sentinel2/search")
def api_sentinel2_search(lat: float, lng: float):
@limiter.limit("30/minute")
def api_sentinel2_search(
request: Request,
lat: float = Query(..., ge=-90, le=90),
lng: float = Query(..., ge=-180, le=180),
):
"""Search for latest Sentinel-2 imagery at a point. Sync for threadpool execution."""
return search_sentinel2_scene(lat, lng)
@@ -309,7 +369,28 @@ async def api_reset_news_feeds():
return {"status": "reset", "feeds": get_feeds()}
return {"status": "error", "message": "Failed to reset feeds"}
# ---------------------------------------------------------------------------
# System — self-update
# ---------------------------------------------------------------------------
from pathlib import Path
from services.updater import perform_update, schedule_restart
@app.post("/api/system/update")
@limiter.limit("1/minute")
async def system_update(request: Request):
"""Download latest release, backup current files, extract update, and restart."""
project_root = str(Path(__file__).resolve().parent.parent)
result = perform_update(project_root)
if result.get("status") == "error":
return Response(
content=json_mod.dumps(result),
status_code=500,
media_type="application/json",
)
# Schedule restart AFTER response flushes (2s delay)
import threading
threading.Timer(2.0, schedule_restart, args=[project_root]).start()
return result
if __name__ == "__main__":
uvicorn.run("main:app", host="0.0.0.0", port=8000, reload=True)
# Application successfully initialized with background scraping tasks
+4
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@@ -0,0 +1,4 @@
[pytest]
testpaths = tests
python_files = test_*.py
python_functions = test_*
+3
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@@ -0,0 +1,3 @@
-r requirements.txt
pytest==8.3.4
httpx==0.28.1
+19 -17
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@@ -1,20 +1,22 @@
fastapi>=0.103.1
uvicorn>=0.23.2
yfinance>=0.2.40
fastapi==0.115.12
uvicorn==0.34.0
yfinance==0.2.54
feedparser==6.0.10
legacy-cgi>=2.6
legacy-cgi==2.6.2
requests==2.31.0
apscheduler==3.10.3
pydantic>=2.3.0
pydantic-settings>=2.0.3
playwright>=1.58.0
beautifulsoup4>=4.12.0
cachetools>=5.3
cloudscraper>=1.2.71
python-dotenv>=1.0
lxml>=5.0
reverse_geocoder>=1.5
sgp4>=2.23
geopy>=2.4.0
pytz>=2023.3
pystac-client>=0.7.0
pydantic==2.11.1
pydantic-settings==2.8.1
playwright==1.50.0
playwright-stealth==1.0.6
beautifulsoup4==4.13.3
cachetools==5.5.2
slowapi==0.1.9
cloudscraper==1.2.71
python-dotenv==1.0.1
lxml==5.3.1
reverse_geocoder==1.5.1
sgp4==2.23
geopy==2.4.1
pytz==2024.2
pystac-client==0.8.6
+3 -3
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@@ -144,7 +144,7 @@ def _save_cache():
with open(CACHE_FILE, 'w') as f:
json.dump(data, f)
logger.info(f"AIS cache saved: {len(data)} vessels")
except Exception as e:
except (IOError, OSError) as e:
logger.error(f"Failed to save AIS cache: {e}")
@@ -165,7 +165,7 @@ def _load_cache():
_vessels[int(k)] = v
loaded += 1
logger.info(f"AIS cache loaded: {loaded} vessels from disk")
except Exception as e:
except (IOError, OSError, json.JSONDecodeError, ValueError) as e:
logger.error(f"Failed to load AIS cache: {e}")
@@ -326,7 +326,7 @@ def _ais_stream_loop():
_save_cache()
last_log_time = now
except Exception as e:
except (ConnectionError, TimeoutError, OSError, ValueError, KeyError) as e:
logger.error(f"AIS proxy connection error: {e}")
if _ws_running:
logger.info(f"Restarting AIS proxy in {backoff}s (exponential backoff)...")
+31 -16
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@@ -218,7 +218,7 @@ def _load_cache() -> Dict[str, dict]:
data = json.loads(CACHE_FILE.read_text())
logger.info(f"Carrier cache loaded: {len(data)} carriers from {CACHE_FILE}")
return data
except Exception as e:
except (IOError, OSError, json.JSONDecodeError, ValueError) as e:
logger.warning(f"Failed to load carrier cache: {e}")
return {}
@@ -228,7 +228,7 @@ def _save_cache(positions: Dict[str, dict]):
try:
CACHE_FILE.write_text(json.dumps(positions, indent=2))
logger.info(f"Carrier cache saved: {len(positions)} carriers")
except Exception as e:
except (IOError, OSError) as e:
logger.warning(f"Failed to save carrier cache: {e}")
@@ -275,15 +275,15 @@ def _fetch_gdelt_carrier_news() -> List[dict]:
try:
url = f"https://api.gdeltproject.org/api/v2/doc/doc?query={term}&mode=artlist&maxrecords=5&format=json&timespan=14d"
raw = fetch_with_curl(url, timeout=8)
if not raw:
if not raw or not hasattr(raw, 'text'):
continue
data = json.loads(raw)
data = raw.json()
articles = data.get("articles", [])
for art in articles:
title = art.get("title", "")
url = art.get("url", "")
results.append({"title": title, "url": url})
except Exception as e:
except (ConnectionError, TimeoutError, ValueError, KeyError, OSError) as e:
logger.debug(f"GDELT search failed for '{term}': {e}")
continue
@@ -323,13 +323,8 @@ def _parse_carrier_positions_from_news(articles: List[dict]) -> Dict[str, dict]:
return updates
def update_carrier_positions():
"""Main update function — called on startup and every 12h."""
global _last_update
logger.info("Carrier tracker: updating positions from OSINT sources...")
# Start with fallback positions (sourced from USNI News Fleet Tracker)
def _load_carrier_fallbacks() -> Dict[str, dict]:
"""Build carrier positions from static fallbacks + disk cache (instant, no network)."""
positions: Dict[str, dict] = {}
for hull, info in CARRIER_REGISTRY.items():
positions[hull] = {
@@ -344,11 +339,10 @@ def update_carrier_positions():
"updated": datetime.now(timezone.utc).isoformat()
}
# Load cached positions (may have better data from previous runs)
# Overlay cached positions from previous runs (may have GDELT data)
cached = _load_cache()
for hull, cached_pos in cached.items():
if hull in positions:
# Only use cache if it has a real OSINT source (not just static)
if cached_pos.get("source", "").startswith("GDELT") or cached_pos.get("source", "").startswith("News"):
positions[hull].update({
"lat": cached_pos["lat"],
@@ -357,8 +351,29 @@ def update_carrier_positions():
"source": cached_pos.get("source", "Cached OSINT"),
"updated": cached_pos.get("updated", "")
})
return positions
# Try GDELT news for fresh positions
def update_carrier_positions():
"""Main update function — called on startup and every 12h.
Phase 1 (instant): publish fallback + cached positions so the map has carriers immediately.
Phase 2 (slow): query GDELT for fresh OSINT positions and update in-place.
"""
global _last_update
# --- Phase 1: instant fallback + cache ---
positions = _load_carrier_fallbacks()
with _positions_lock:
# Only overwrite if positions are currently empty (first startup).
# If we already have data from a previous cycle, keep it while GDELT runs.
if not _carrier_positions:
_carrier_positions.update(positions)
_last_update = datetime.now(timezone.utc)
logger.info(f"Carrier tracker: {len(positions)} carriers loaded from fallback/cache (GDELT enrichment starting...)")
# --- Phase 2: slow GDELT enrichment ---
try:
articles = _fetch_gdelt_carrier_news()
news_positions = _parse_carrier_positions_from_news(articles)
@@ -369,7 +384,7 @@ def update_carrier_positions():
except Exception as e:
logger.warning(f"GDELT carrier fetch failed: {e}")
# Save and update the global state
# Save and update the global state with enriched positions
with _positions_lock:
_carrier_positions.clear()
_carrier_positions.update(positions)
+6 -2
View File
@@ -41,7 +41,7 @@ class BaseCCTVIngestor(ABC):
cursor = self.conn.cursor()
for cam in cameras:
cursor.execute("""
INSERT INTO cameras
INSERT INTO cameras
(id, source_agency, lat, lon, direction_facing, media_url, refresh_rate_seconds)
VALUES (?, ?, ?, ?, ?, ?, ?)
ON CONFLICT(id) DO UPDATE SET
@@ -59,6 +59,10 @@ class BaseCCTVIngestor(ABC):
self.conn.commit()
logger.info(f"Successfully ingested {len(cameras)} cameras from {self.__class__.__name__}")
except Exception as e:
try:
self.conn.rollback()
except Exception:
pass
logger.error(f"Failed to ingest cameras in {self.__class__.__name__}: {e}")
class TFLJamCamIngestor(BaseCCTVIngestor):
@@ -220,7 +224,7 @@ class GlobalOSMCrawlingIngestor(BaseCCTVIngestor):
direction_str = item.get("tags", {}).get("camera:direction", "0")
try:
bearing = int(float(direction_str))
except:
except (ValueError, TypeError):
bearing = 0
mapbox_key = "YOUR_MAPBOX_TOKEN_HERE"
File diff suppressed because it is too large Load Diff
+46
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@@ -0,0 +1,46 @@
"""Shared in-memory data store for all fetcher modules.
Central location for latest_data, source_timestamps, and the data lock.
Every fetcher imports from here instead of maintaining its own copy.
"""
import threading
import logging
from datetime import datetime
logger = logging.getLogger("services.data_fetcher")
# In-memory store
latest_data = {
"last_updated": None,
"news": [],
"stocks": {},
"oil": {},
"flights": [],
"ships": [],
"military_flights": [],
"tracked_flights": [],
"cctv": [],
"weather": None,
"earthquakes": [],
"uavs": [],
"frontlines": None,
"gdelt": [],
"liveuamap": [],
"kiwisdr": [],
"space_weather": None,
"internet_outages": [],
"firms_fires": [],
"datacenters": []
}
# Per-source freshness timestamps
source_timestamps = {}
def _mark_fresh(*keys):
"""Record the current UTC time for one or more data source keys."""
now = datetime.utcnow().isoformat()
for k in keys:
source_timestamps[k] = now
# Thread lock for safe reads/writes to latest_data
_data_lock = threading.Lock()
+721
View File
@@ -0,0 +1,721 @@
"""Commercial flight fetching — ADS-B, OpenSky, supplemental sources, routes,
trail accumulation, GPS jamming detection, and holding pattern detection."""
import re
import os
import time
import math
import logging
import threading
import concurrent.futures
import requests
from datetime import datetime
from cachetools import TTLCache
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, enrich_with_tracked_names
logger = logging.getLogger("services.data_fetcher")
# Pre-compiled regex patterns for airline code extraction (used in hot loop)
_RE_AIRLINE_CODE_1 = re.compile(r'^([A-Z]{3})\d')
_RE_AIRLINE_CODE_2 = re.compile(r'^([A-Z]{3})[A-Z\d]')
# ---------------------------------------------------------------------------
# OpenSky Network API Client (OAuth2)
# ---------------------------------------------------------------------------
class OpenSkyClient:
def __init__(self, client_id, client_secret):
self.client_id = client_id
self.client_secret = client_secret
self.token = None
self.expires_at = 0
def get_token(self):
if self.token and time.time() < self.expires_at - 60:
return self.token
url = "https://auth.opensky-network.org/auth/realms/opensky-network/protocol/openid-connect/token"
data = {
"grant_type": "client_credentials",
"client_id": self.client_id,
"client_secret": self.client_secret
}
try:
r = requests.post(url, data=data, timeout=10)
if r.status_code == 200:
res = r.json()
self.token = res.get("access_token")
self.expires_at = time.time() + res.get("expires_in", 1800)
logger.info("OpenSky OAuth2 token refreshed.")
return self.token
else:
logger.error(f"OpenSky Auth Failed: {r.status_code} {r.text}")
except (requests.RequestException, ConnectionError, TimeoutError, ValueError, KeyError) as e:
logger.error(f"OpenSky Auth Exception: {e}")
return None
opensky_client = OpenSkyClient(
client_id=os.environ.get("OPENSKY_CLIENT_ID", ""),
client_secret=os.environ.get("OPENSKY_CLIENT_SECRET", "")
)
# Throttling and caching for OpenSky (400 req/day limit)
last_opensky_fetch = 0
cached_opensky_flights = []
# ---------------------------------------------------------------------------
# Supplemental ADS-B sources for blind-spot gap-filling
# ---------------------------------------------------------------------------
_BLIND_SPOT_REGIONS = [
{"name": "Yekaterinburg", "lat": 56.8, "lon": 60.6, "radius_nm": 250},
{"name": "Novosibirsk", "lat": 55.0, "lon": 82.9, "radius_nm": 250},
{"name": "Krasnoyarsk", "lat": 56.0, "lon": 92.9, "radius_nm": 250},
{"name": "Vladivostok", "lat": 43.1, "lon": 131.9, "radius_nm": 250},
{"name": "Urumqi", "lat": 43.8, "lon": 87.6, "radius_nm": 250},
{"name": "Chengdu", "lat": 30.6, "lon": 104.1, "radius_nm": 250},
{"name": "Lagos-Accra", "lat": 6.5, "lon": 3.4, "radius_nm": 250},
{"name": "Addis Ababa", "lat": 9.0, "lon": 38.7, "radius_nm": 250},
]
_SUPPLEMENTAL_FETCH_INTERVAL = 120
last_supplemental_fetch = 0
cached_supplemental_flights = []
# Helicopter type codes (backend classification)
_HELI_TYPES_BACKEND = {
"R22", "R44", "R66", "B06", "B06T", "B204", "B205", "B206", "B212", "B222", "B230",
"B407", "B412", "B427", "B429", "B430", "B505", "B525",
"AS32", "AS35", "AS50", "AS55", "AS65",
"EC20", "EC25", "EC30", "EC35", "EC45", "EC55", "EC75",
"H125", "H130", "H135", "H145", "H155", "H160", "H175", "H215", "H225",
"S55", "S58", "S61", "S64", "S70", "S76", "S92",
"A109", "A119", "A139", "A169", "A189", "AW09",
"MD52", "MD60", "MDHI", "MD90", "NOTR",
"B47G", "HUEY", "GAMA", "CABR", "EXE",
}
# Private jet ICAO type designator codes
PRIVATE_JET_TYPES = {
"G150", "G200", "G280", "GLEX", "G500", "G550", "G600", "G650", "G700",
"GLF2", "GLF3", "GLF4", "GLF5", "GLF6", "GL5T", "GL7T", "GV", "GIV",
"CL30", "CL35", "CL60", "BD70", "BD10", "GL5T", "GL7T",
"CRJ1", "CRJ2",
"C25A", "C25B", "C25C", "C500", "C501", "C510", "C525", "C526",
"C550", "C560", "C56X", "C680", "C68A", "C700", "C750",
"FA10", "FA20", "FA50", "FA7X", "FA8X", "F900", "F2TH", "ASTR",
"E35L", "E545", "E550", "E55P", "LEGA", "PH10", "PH30",
"LJ23", "LJ24", "LJ25", "LJ28", "LJ31", "LJ35", "LJ36",
"LJ40", "LJ45", "LJ55", "LJ60", "LJ70", "LJ75",
"H25A", "H25B", "H25C", "HA4T", "BE40", "PRM1",
"HDJT", "PC24", "EA50", "SF50", "GALX",
}
# Flight trails state
flight_trails = {} # {icao_hex: {points: [[lat, lng, alt, ts], ...], last_seen: ts}}
_trails_lock = threading.Lock()
_MAX_TRACKED_TRAILS = 2000
# Routes cache
dynamic_routes_cache = TTLCache(maxsize=5000, ttl=7200)
routes_fetch_in_progress = False
_routes_lock = threading.Lock()
def _fetch_supplemental_sources(seen_hex: set) -> list:
"""Fetch from airplanes.live and adsb.fi to fill blind-spot gaps."""
global last_supplemental_fetch, cached_supplemental_flights
now = time.time()
if now - last_supplemental_fetch < _SUPPLEMENTAL_FETCH_INTERVAL:
return [f for f in cached_supplemental_flights
if f.get("hex", "").lower().strip() not in seen_hex]
new_supplemental = []
supplemental_hex = set()
def _fetch_airplaneslive(region):
try:
url = (f"https://api.airplanes.live/v2/point/"
f"{region['lat']}/{region['lon']}/{region['radius_nm']}")
res = fetch_with_curl(url, timeout=10)
if res.status_code == 200:
data = res.json()
return data.get("ac", [])
except Exception as e:
logger.debug(f"airplanes.live {region['name']} failed: {e}")
return []
try:
with concurrent.futures.ThreadPoolExecutor(max_workers=4) as pool:
results = list(pool.map(_fetch_airplaneslive, _BLIND_SPOT_REGIONS))
for region_flights in results:
for f in region_flights:
h = f.get("hex", "").lower().strip()
if h and h not in seen_hex and h not in supplemental_hex:
f["supplemental_source"] = "airplanes.live"
new_supplemental.append(f)
supplemental_hex.add(h)
except Exception as e:
logger.warning(f"airplanes.live supplemental fetch failed: {e}")
ap_count = len(new_supplemental)
try:
for region in _BLIND_SPOT_REGIONS:
try:
url = (f"https://opendata.adsb.fi/api/v3/lat/"
f"{region['lat']}/lon/{region['lon']}/dist/{region['radius_nm']}")
res = fetch_with_curl(url, timeout=10)
if res.status_code == 200:
data = res.json()
for f in data.get("ac", []):
h = f.get("hex", "").lower().strip()
if h and h not in seen_hex and h not in supplemental_hex:
f["supplemental_source"] = "adsb.fi"
new_supplemental.append(f)
supplemental_hex.add(h)
except Exception as e:
logger.debug(f"adsb.fi {region['name']} failed: {e}")
time.sleep(1.1)
except Exception as e:
logger.warning(f"adsb.fi supplemental fetch failed: {e}")
fi_count = len(new_supplemental) - ap_count
cached_supplemental_flights = new_supplemental
last_supplemental_fetch = now
if new_supplemental:
_mark_fresh("supplemental_flights")
logger.info(f"Supplemental: +{len(new_supplemental)} new aircraft from blind-spot "
f"hotspots (airplanes.live: {ap_count}, adsb.fi: {fi_count})")
return new_supplemental
def fetch_routes_background(sampled):
global routes_fetch_in_progress
with _routes_lock:
if routes_fetch_in_progress:
return
routes_fetch_in_progress = True
try:
callsigns_to_query = []
for f in sampled:
c_sign = str(f.get("flight", "")).strip()
if c_sign and c_sign != "UNKNOWN":
callsigns_to_query.append({
"callsign": c_sign,
"lat": f.get("lat", 0),
"lng": f.get("lon", 0)
})
batch_size = 100
batches = [callsigns_to_query[i:i+batch_size] for i in range(0, len(callsigns_to_query), batch_size)]
for batch in batches:
try:
r = fetch_with_curl("https://api.adsb.lol/api/0/routeset", method="POST", json_data={"planes": batch}, timeout=15)
if r.status_code == 200:
route_data = r.json()
route_list = []
if isinstance(route_data, dict):
route_list = route_data.get("value", [])
elif isinstance(route_data, list):
route_list = route_data
for route in route_list:
callsign = route.get("callsign", "")
airports = route.get("_airports", [])
if airports and len(airports) >= 2:
orig_apt = airports[0]
dest_apt = airports[-1]
with _routes_lock:
dynamic_routes_cache[callsign] = {
"orig_name": f"{orig_apt.get('iata', '')}: {orig_apt.get('name', 'Unknown')}",
"dest_name": f"{dest_apt.get('iata', '')}: {dest_apt.get('name', 'Unknown')}",
"orig_loc": [orig_apt.get("lon", 0), orig_apt.get("lat", 0)],
"dest_loc": [dest_apt.get("lon", 0), dest_apt.get("lat", 0)],
}
time.sleep(0.25)
except Exception:
logger.debug("Route batch request failed")
finally:
with _routes_lock:
routes_fetch_in_progress = False
def _classify_and_publish(all_adsb_flights):
"""Shared pipeline: normalize raw ADS-B data → classify → merge → publish to latest_data.
Called once immediately after adsb.lol returns (fast path, ~3-5s),
then again after OpenSky + supplemental gap-fill enrichment.
"""
flights = []
if not all_adsb_flights:
return
with _routes_lock:
already_running = routes_fetch_in_progress
if not already_running:
threading.Thread(target=fetch_routes_background, args=(all_adsb_flights,), daemon=True).start()
for f in all_adsb_flights:
try:
lat = f.get("lat")
lng = f.get("lon")
heading = f.get("track") or 0
if lat is None or lng is None:
continue
flight_str = str(f.get("flight", "UNKNOWN")).strip()
if not flight_str or flight_str == "UNKNOWN":
flight_str = str(f.get("hex", "Unknown"))
origin_loc = None
dest_loc = None
origin_name = "UNKNOWN"
dest_name = "UNKNOWN"
with _routes_lock:
cached_route = dynamic_routes_cache.get(flight_str)
if cached_route:
origin_name = cached_route["orig_name"]
dest_name = cached_route["dest_name"]
origin_loc = cached_route["orig_loc"]
dest_loc = cached_route["dest_loc"]
airline_code = ""
match = _RE_AIRLINE_CODE_1.match(flight_str)
if not match:
match = _RE_AIRLINE_CODE_2.match(flight_str)
if match:
airline_code = match.group(1)
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
model_upper = f.get("t", "").upper()
if model_upper == "TWR":
continue
ac_category = "heli" if model_upper in _HELI_TYPES_BACKEND else "plane"
flights.append({
"callsign": flight_str,
"country": f.get("r", "N/A"),
"lng": float(lng),
"lat": float(lat),
"alt": alt_value,
"heading": heading,
"type": "flight",
"origin_loc": origin_loc,
"dest_loc": dest_loc,
"origin_name": origin_name,
"dest_name": dest_name,
"registration": f.get("r", "N/A"),
"model": f.get("t", "Unknown"),
"icao24": f.get("hex", ""),
"speed_knots": speed_knots,
"squawk": f.get("squawk", ""),
"airline_code": airline_code,
"aircraft_category": ac_category,
"nac_p": f.get("nac_p")
})
except Exception as loop_e:
logger.error(f"Flight interpolation error: {loop_e}")
continue
# --- 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:
f['type'] = 'commercial_flight'
commercial.append(f)
elif f.get('model', '').upper() in PRIVATE_JET_TYPES:
f['type'] = 'private_jet'
private_jets.append(f)
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}")
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"""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)")
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"""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")
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"""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
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"""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"
+80 -39
View File
@@ -1,5 +1,6 @@
import requests
import logging
import zipfile
from cachetools import cached, TTLCache
from datetime import datetime
from services.network_utils import fetch_with_curl
@@ -65,7 +66,7 @@ def fetch_ukraine_frontlines():
logger.error(f"Failed to fetch parsed Github Raw GeoJSON: {res_geo.status_code}")
else:
logger.error(f"Failed to fetch Github Tree for Deepstatemap: {res_tree.status_code}")
except Exception as e:
except (requests.RequestException, ConnectionError, TimeoutError, ValueError, KeyError) as e:
logger.error(f"Error fetching DeepStateMap: {e}")
return None
@@ -81,7 +82,7 @@ def _extract_domain(url):
if host.startswith('www.'):
host = host[4:]
return host
except Exception:
except (ValueError, AttributeError, KeyError): # non-critical
return url[:40]
def _url_to_headline(url):
@@ -137,7 +138,7 @@ def _url_to_headline(url):
if len(headline) > 90:
headline = headline[:87] + '...'
return headline
except Exception:
except (ValueError, AttributeError, KeyError): # non-critical
return url[:60]
@@ -226,7 +227,7 @@ def _fetch_article_title(url):
_article_title_cache[url] = None
return None
except Exception:
except (requests.RequestException, ConnectionError, TimeoutError, ValueError, AttributeError): # non-critical
_article_title_cache[url] = None
return None
@@ -242,7 +243,7 @@ def _batch_fetch_titles(urls):
url = futures[future]
try:
results[url] = future.result()
except Exception:
except Exception: # non-critical: optional title enrichment
results[url] = None
return results
@@ -308,7 +309,7 @@ def _parse_gdelt_export_zip(zip_bytes, conflict_codes, seen_locs, features, loc_
})
except (ValueError, IndexError):
continue
except Exception as e:
except (IOError, OSError, ValueError, KeyError, zipfile.BadZipFile) as e:
logger.warning(f"Failed to parse GDELT export zip: {e}")
def _download_gdelt_export(url):
@@ -317,16 +318,72 @@ def _download_gdelt_export(url):
res = fetch_with_curl(url, timeout=15)
if res.status_code == 200:
return res.content
except Exception:
except (ConnectionError, TimeoutError, OSError): # non-critical
pass
return None
@cached(gdelt_cache)
def _build_feature_html(features, fetched_titles=None):
"""Build URL + headline arrays for frontend rendering.
Uses fetched_titles (real article titles) when available, falls back to URL slug parsing."""
import html as html_mod
for f in features:
urls = f["properties"].pop("_urls", [])
f["properties"].pop("_domains", None)
headlines = []
for u in urls:
real_title = fetched_titles.get(u) if fetched_titles else None
headlines.append(real_title if real_title else _url_to_headline(u))
f["properties"]["_urls_list"] = urls
f["properties"]["_headlines_list"] = headlines
if urls:
links = []
for u, h in zip(urls, headlines):
safe_url = u if u.startswith(('http://', 'https://')) else 'about:blank'
safe_h = html_mod.escape(h)
links.append(f'<div style="margin-bottom:6px;"><a href="{safe_url}" target="_blank" rel="noopener noreferrer">{safe_h}</a></div>')
f["properties"]["html"] = ''.join(links)
else:
f["properties"]["html"] = html_mod.escape(f["properties"]["name"])
f.pop("_loc_key", None)
def _enrich_gdelt_titles_background(features, all_article_urls):
"""Background thread: fetch real article titles then update features in-place."""
import html as html_mod
try:
logger.info(f"[BG] Fetching real article titles for {len(all_article_urls)} URLs...")
fetched_titles = _batch_fetch_titles(all_article_urls)
fetched_count = sum(1 for v in fetched_titles.values() if v)
logger.info(f"[BG] Resolved {fetched_count}/{len(all_article_urls)} article titles")
# Update features in-place with real titles
for f in features:
urls = f["properties"].get("_urls_list", [])
if not urls:
continue
headlines = []
for u in urls:
real_title = fetched_titles.get(u)
headlines.append(real_title if real_title else _url_to_headline(u))
f["properties"]["_headlines_list"] = headlines
links = []
for u, h in zip(urls, headlines):
safe_url = u if u.startswith(('http://', 'https://')) else 'about:blank'
safe_h = html_mod.escape(h)
links.append(f'<div style="margin-bottom:6px;"><a href="{safe_url}" target="_blank" rel="noopener noreferrer">{safe_h}</a></div>')
f["properties"]["html"] = ''.join(links)
logger.info(f"[BG] GDELT title enrichment complete")
except Exception as e:
logger.error(f"[BG] GDELT title enrichment failed: {e}")
def fetch_global_military_incidents():
"""
Fetches global military/conflict incidents from GDELT Events Export files.
Aggregates the last ~8 hours of 15-minute exports to build ~1000 incidents.
Returns immediately with URL-slug headlines; enriches with real titles in background.
"""
import threading
from datetime import timedelta
from concurrent.futures import ThreadPoolExecutor
@@ -388,45 +445,29 @@ def fetch_global_military_incidents():
if zip_bytes:
_parse_gdelt_export_zip(zip_bytes, CONFLICT_CODES, seen_locs, features, loc_index)
# Collect all unique article URLs for batch title fetching
# Collect all unique article URLs
all_article_urls = set()
for f in features:
for u in f["properties"].get("_urls", []):
if u:
all_article_urls.add(u)
logger.info(f"Fetching real article titles for {len(all_article_urls)} unique URLs...")
fetched_titles = _batch_fetch_titles(all_article_urls)
fetched_count = sum(1 for v in fetched_titles.values() if v)
logger.info(f"Resolved {fetched_count}/{len(all_article_urls)} article titles from HTML")
# Build URL + headline arrays for frontend rendering
for f in features:
urls = f["properties"].pop("_urls", [])
f["properties"].pop("_domains", None)
headlines = []
for u in urls:
# Try the real fetched title first, then fall back to URL slug parsing
real_title = fetched_titles.get(u)
headlines.append(real_title if real_title else _url_to_headline(u))
f["properties"]["_urls_list"] = urls
f["properties"]["_headlines_list"] = headlines
import html
# Keep html as fallback
if urls:
links = []
for u, h in zip(urls, headlines):
safe_url = u if u.startswith(('http://', 'https://')) else 'about:blank'
safe_h = html.escape(h)
links.append(f'<div style="margin-bottom:6px;"><a href="{safe_url}" target="_blank" rel="noopener noreferrer">{safe_h}</a></div>')
f["properties"]["html"] = ''.join(links)
else:
f["properties"]["html"] = html.escape(f["properties"]["name"])
f.pop("_loc_key", None)
# Build HTML immediately with URL-slug headlines (instant, no network)
_build_feature_html(features)
logger.info(f"GDELT parsed: {len(features)} conflict locations from {successful} files (titles enriching in background)")
# Kick off background thread to enrich with real article titles
# Features list is shared — background thread updates in-place
t = threading.Thread(
target=_enrich_gdelt_titles_background,
args=(features, all_article_urls),
daemon=True,
)
t.start()
logger.info(f"GDELT multi-file parsed: {len(features)} conflict locations from {successful} files")
return features
except Exception as e:
except (requests.RequestException, ConnectionError, TimeoutError, ValueError, KeyError, OSError) as e:
logger.error(f"Error fetching GDELT data: {e}")
return []
+2 -1
View File
@@ -6,6 +6,7 @@ Data is embedded as HTML comments inside each entry div.
import re
import logging
import requests
from cachetools import TTLCache, cached
logger = logging.getLogger(__name__)
@@ -92,6 +93,6 @@ def fetch_kiwisdr_nodes() -> list[dict]:
logger.info(f"KiwiSDR: parsed {len(nodes)} online receivers")
return nodes
except Exception as e:
except (requests.RequestException, ConnectionError, TimeoutError, ValueError, KeyError) as e:
logger.error(f"KiwiSDR fetch exception: {e}")
return []
+5 -5
View File
@@ -23,7 +23,7 @@ def fetch_liveuamap():
with sync_playwright() as p:
# Launching with a real user agent to bypass Turnstile
browser = p.chromium.launch(headless=False, args=["--disable-blink-features=AutomationControlled"])
browser = p.chromium.launch(headless=True, args=["--disable-blink-features=AutomationControlled"])
context = browser.new_context(
user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
viewport={"width": 1920, "height": 1080},
@@ -40,7 +40,7 @@ def fetch_liveuamap():
# Wait for the map canvas or markers script to load, max 10s wait
try:
page.wait_for_timeout(5000)
except:
except (TimeoutError, OSError): # non-critical: page load delay
pass
html = page.content()
@@ -56,8 +56,8 @@ def fetch_liveuamap():
# process below
html = f"var ovens={ovens_json};"
m = re.search(r"var\s+ovens=(.*?);", html, re.DOTALL)
except:
pass
except (ValueError, KeyError, OSError) as e: # non-critical: JS eval fallback
logger.debug(f"Could not evaluate ovens JS variable for {region['name']}: {e}")
if m:
json_str = m.group(1).strip()
@@ -81,7 +81,7 @@ def fetch_liveuamap():
"link": marker.get("link", region["url"]),
"region": region["name"]
})
except Exception as e:
except (json.JSONDecodeError, ValueError, KeyError) as e:
logger.error(f"Error parsing JSON for {region['name']}: {e}")
except Exception as e:
+10 -6
View File
@@ -10,9 +10,10 @@ from urllib3.util.retry import Retry
logger = logging.getLogger(__name__)
# Reusable session with connection pooling and retry logic
# Reusable session with connection pooling and retry logic.
# Only retry once (total=1) to fail fast — the curl fallback is the real safety net.
_session = requests.Session()
_retry = Retry(total=2, backoff_factor=0.5, status_forcelist=[502, 503, 504])
_retry = Retry(total=1, backoff_factor=0.3, status_forcelist=[502, 503, 504])
_session.mount("https://", HTTPAdapter(max_retries=_retry, pool_maxsize=20))
_session.mount("http://", HTTPAdapter(max_retries=_retry, pool_maxsize=10))
@@ -68,16 +69,19 @@ def fetch_with_curl(url, method="GET", json_data=None, timeout=15, headers=None)
pass # Fall through to curl below
else:
try:
# Use a short connect timeout (3s) so firewall blocks fail fast,
# but allow the full timeout for reading the response body.
req_timeout = (min(3, timeout), timeout)
if method == "POST":
res = _session.post(url, json=json_data, timeout=timeout, headers=default_headers)
res = _session.post(url, json=json_data, timeout=req_timeout, headers=default_headers)
else:
res = _session.get(url, timeout=timeout, headers=default_headers)
res = _session.get(url, timeout=req_timeout, headers=default_headers)
res.raise_for_status()
# Clear failure caches on success
_domain_fail_cache.pop(domain, None)
_circuit_breaker.pop(domain, None)
return res
except Exception as e:
except (requests.RequestException, ConnectionError, TimeoutError, OSError) as e:
logger.warning(f"Python requests failed for {url} ({e}), falling back to bash curl...")
_domain_fail_cache[domain] = time.time()
@@ -109,7 +113,7 @@ def fetch_with_curl(url, method="GET", json_data=None, timeout=15, headers=None)
logger.error(f"bash curl fallback failed: exit={res.returncode} stderr={res.stderr[:200]}")
_circuit_breaker[domain] = time.time()
return _DummyResponse(500, "")
except Exception as curl_e:
except (subprocess.SubprocessError, ConnectionError, TimeoutError, OSError) as curl_e:
logger.error(f"bash curl fallback exception: {curl_e}")
_circuit_breaker[domain] = time.time()
return _DummyResponse(500, "")
+2 -2
View File
@@ -31,7 +31,7 @@ def get_feeds() -> list[dict]:
feeds = data.get("feeds", []) if isinstance(data, dict) else data
if isinstance(feeds, list) and len(feeds) > 0:
return feeds
except Exception as e:
except (IOError, OSError, json.JSONDecodeError, ValueError) as e:
logger.warning(f"Failed to read news feed config: {e}")
return list(DEFAULT_FEEDS)
@@ -64,7 +64,7 @@ def save_feeds(feeds: list[dict]) -> bool:
encoding="utf-8",
)
return True
except Exception as e:
except (IOError, OSError) as e:
logger.error(f"Failed to write news feed config: {e}")
return False
+3 -3
View File
@@ -72,7 +72,7 @@ def get_top_broadcastify_feeds():
logger.info(f"Successfully scraped {len(feeds)} top feeds from Broadcastify.")
return feeds
except Exception as e:
except (requests.RequestException, ConnectionError, TimeoutError, ValueError, KeyError) as e:
logger.error(f"Broadcastify Scrape Exception: {e}")
return []
@@ -92,7 +92,7 @@ def get_openmhz_systems():
# Return list of systems
return data.get('systems', []) if isinstance(data, dict) else []
return []
except Exception as e:
except (requests.RequestException, ConnectionError, TimeoutError, ValueError, KeyError) as e:
logger.error(f"OpenMHZ Systems Scrape Exception: {e}")
return []
@@ -112,7 +112,7 @@ def get_recent_openmhz_calls(sys_name: str):
data = res.json()
return data.get('calls', []) if isinstance(data, dict) else []
return []
except Exception as e:
except (requests.RequestException, ConnectionError, TimeoutError, ValueError, KeyError) as e:
logger.error(f"OpenMHZ Calls Scrape Exception ({sys_name}): {e}")
return []
+8 -8
View File
@@ -50,7 +50,7 @@ def _reverse_geocode(lat: float, lng: float) -> dict:
continue
else:
logger.warning(f"Nominatim returned {res.status_code}")
except Exception as e:
except (_requests.RequestException, ConnectionError, TimeoutError, OSError) as e:
logger.warning(f"Reverse geocode failed: {e}")
return {}
@@ -66,7 +66,7 @@ def _fetch_country_data(country_code: str) -> dict:
res = fetch_with_curl(url, timeout=10)
if res.status_code == 200:
return res.json()
except Exception as e:
except (ConnectionError, TimeoutError, ValueError, KeyError, OSError) as e:
logger.warning(f"RestCountries failed for {country_code}: {e}")
return {}
@@ -96,7 +96,7 @@ def _fetch_wikidata_leader(country_name: str) -> dict:
"leader": r.get("leaderLabel", {}).get("value", "Unknown"),
"government_type": r.get("govTypeLabel", {}).get("value", "Unknown"),
}
except Exception as e:
except (ConnectionError, TimeoutError, ValueError, KeyError, OSError) as e:
logger.warning(f"Wikidata SPARQL failed for {country_name}: {e}")
return {"leader": "Unknown", "government_type": "Unknown"}
@@ -122,7 +122,7 @@ def _fetch_local_wiki_summary(place_name: str, country_name: str = "") -> dict:
"extract": data.get("extract", ""),
"thumbnail": data.get("thumbnail", {}).get("source", ""),
}
except Exception:
except (ConnectionError, TimeoutError, ValueError, KeyError, OSError): # Intentional: optional enrichment
continue
return {}
@@ -158,22 +158,22 @@ def get_region_dossier(lat: float, lng: float) -> dict:
try:
country_data = country_fut.result(timeout=12)
except Exception:
except Exception: # Intentional: optional enrichment
logger.warning("Country data fetch timed out or failed")
country_data = {}
try:
leader_data = leader_fut.result(timeout=12)
except Exception:
except Exception: # Intentional: optional enrichment
logger.warning("Leader data fetch timed out or failed")
leader_data = {"leader": "Unknown", "government_type": "Unknown"}
try:
local_data = local_fut.result(timeout=12)
except Exception:
except Exception: # Intentional: optional enrichment
logger.warning("Local wiki fetch timed out or failed")
local_data = {}
try:
country_wiki_data = country_wiki_fut.result(timeout=12)
except Exception:
except Exception: # Intentional: optional enrichment
country_wiki_data = {}
# If no local data but we have country wiki summary, use that
+3 -2
View File
@@ -4,6 +4,7 @@ Free, keyless search for metadata + thumbnails. Used in the right-click dossier.
"""
import logging
import requests
from datetime import datetime, timedelta
from cachetools import TTLCache
@@ -48,7 +49,7 @@ def search_sentinel2_scene(lat: float, lng: float) -> dict:
item = planetary_computer.sign_item(item)
except ImportError:
pass # planetary_computer not installed, try unsigned URLs
except Exception as e:
except (ConnectionError, TimeoutError, ValueError) as e:
logger.warning(f"Sentinel-2 signing failed: {e}")
# Get the rendered_preview (full-res PNG) and thumbnail separately
@@ -76,6 +77,6 @@ def search_sentinel2_scene(lat: float, lng: float) -> dict:
except ImportError:
logger.warning("pystac-client not installed — Sentinel-2 search unavailable")
return {"found": False, "error": "pystac-client not installed"}
except Exception as e:
except (requests.RequestException, ConnectionError, TimeoutError, ValueError) as e:
logger.error(f"Sentinel-2 search failed for ({lat}, {lng}): {e}")
return {"found": False, "error": str(e)}
+257
View File
@@ -0,0 +1,257 @@
"""Self-update module — downloads latest GitHub release, backs up current files,
extracts the update over the project, and restarts the app.
Public API:
perform_update(project_root) -> dict (download + backup + extract)
schedule_restart(project_root) (spawn detached start script, then exit)
"""
import os
import sys
import logging
import shutil
import subprocess
import tempfile
import time
import zipfile
from datetime import datetime
from pathlib import Path
import requests
logger = logging.getLogger(__name__)
GITHUB_RELEASES_URL = "https://api.github.com/repos/BigBodyCobain/Shadowbroker/releases/latest"
# ---------------------------------------------------------------------------
# Protected patterns — files/dirs that must NEVER be overwritten during update
# ---------------------------------------------------------------------------
_PROTECTED_DIRS = {"venv", "node_modules", ".next", "__pycache__", ".git"}
_PROTECTED_EXTENSIONS = {".db", ".sqlite"}
_PROTECTED_NAMES = {
".env",
"ais_cache.json",
"carrier_cache.json",
"geocode_cache.json",
}
def _is_protected(rel_path: str) -> bool:
"""Return True if *rel_path* (forward-slash separated) should be skipped."""
parts = rel_path.replace("\\", "/").split("/")
name = parts[-1]
# Check directory components
for part in parts[:-1]:
if part in _PROTECTED_DIRS:
return True
# Check filename
if name in _PROTECTED_NAMES:
return True
_, ext = os.path.splitext(name)
if ext.lower() in _PROTECTED_EXTENSIONS:
return True
return False
# ---------------------------------------------------------------------------
# Download
# ---------------------------------------------------------------------------
def _download_release(temp_dir: str) -> tuple:
"""Fetch latest release info and download the zip asset.
Returns (zip_path, version_tag, download_url).
"""
logger.info("Fetching latest release info from GitHub...")
resp = requests.get(GITHUB_RELEASES_URL, timeout=15)
resp.raise_for_status()
release = resp.json()
tag = release.get("tag_name", "unknown")
assets = release.get("assets", [])
# Find the .zip asset
zip_url = None
for asset in assets:
url = asset.get("browser_download_url", "")
if url.endswith(".zip"):
zip_url = url
break
if not zip_url:
raise RuntimeError("No .zip asset found in the latest release")
logger.info(f"Downloading {zip_url} ...")
zip_path = os.path.join(temp_dir, "update.zip")
with requests.get(zip_url, stream=True, timeout=120) as dl:
dl.raise_for_status()
with open(zip_path, "wb") as f:
for chunk in dl.iter_content(chunk_size=1024 * 64):
f.write(chunk)
if not zipfile.is_zipfile(zip_path):
raise RuntimeError("Downloaded file is not a valid ZIP archive")
size_mb = os.path.getsize(zip_path) / (1024 * 1024)
logger.info(f"Downloaded {size_mb:.1f} MB — ZIP validated OK")
return zip_path, tag, zip_url
# ---------------------------------------------------------------------------
# Backup
# ---------------------------------------------------------------------------
def _backup_current(project_root: str, temp_dir: str) -> str:
"""Create a backup zip of backend/ and frontend/ in temp_dir."""
stamp = datetime.now().strftime("%Y%m%d_%H%M%S")
backup_path = os.path.join(temp_dir, f"backup_{stamp}.zip")
logger.info(f"Backing up current files to {backup_path} ...")
dirs_to_backup = ["backend", "frontend"]
count = 0
with zipfile.ZipFile(backup_path, "w", zipfile.ZIP_DEFLATED) as zf:
for dir_name in dirs_to_backup:
dir_path = os.path.join(project_root, dir_name)
if not os.path.isdir(dir_path):
continue
for root, dirs, files in os.walk(dir_path):
# Prune protected directories from walk
dirs[:] = [d for d in dirs if d not in _PROTECTED_DIRS]
for fname in files:
full = os.path.join(root, fname)
rel = os.path.relpath(full, project_root)
if _is_protected(rel):
continue
try:
zf.write(full, rel)
count += 1
except (PermissionError, OSError) as e:
logger.warning(f"Backup skip (locked): {rel}{e}")
logger.info(f"Backup complete: {count} files archived")
return backup_path
# ---------------------------------------------------------------------------
# Extract & Copy
# ---------------------------------------------------------------------------
def _extract_and_copy(zip_path: str, project_root: str, temp_dir: str) -> int:
"""Extract the update zip and copy files over the project, skipping protected files.
Returns count of files copied.
"""
extract_dir = os.path.join(temp_dir, "extracted")
logger.info("Extracting update zip...")
with zipfile.ZipFile(zip_path, "r") as zf:
zf.extractall(extract_dir)
# Detect wrapper folder: if extracted root has a single directory that
# itself contains frontend/ or backend/, use it as the real base.
base = extract_dir
entries = [e for e in os.listdir(base) if not e.startswith(".")]
if len(entries) == 1:
candidate = os.path.join(base, entries[0])
if os.path.isdir(candidate):
sub = os.listdir(candidate)
if "frontend" in sub or "backend" in sub:
base = candidate
logger.info(f"Detected wrapper folder: {entries[0]}")
copied = 0
skipped = 0
for root, _dirs, files in os.walk(base):
for fname in files:
src = os.path.join(root, fname)
rel = os.path.relpath(src, base).replace("\\", "/")
if _is_protected(rel):
skipped += 1
continue
dst = os.path.join(project_root, rel)
os.makedirs(os.path.dirname(dst), exist_ok=True)
try:
shutil.copy2(src, dst)
copied += 1
except (PermissionError, OSError) as e:
logger.warning(f"Copy failed (skipping): {rel}{e}")
skipped += 1
logger.info(f"Update applied: {copied} files copied, {skipped} skipped/protected")
return copied
# ---------------------------------------------------------------------------
# Restart
# ---------------------------------------------------------------------------
def schedule_restart(project_root: str):
"""Spawn a detached process that re-runs start.bat / start.sh after a short
delay, then forcefully exit the current Python process."""
tmp = tempfile.mkdtemp(prefix="sb_restart_")
if sys.platform == "win32":
script = os.path.join(tmp, "restart.bat")
with open(script, "w") as f:
f.write("@echo off\n")
f.write("timeout /t 3 /nobreak >nul\n")
f.write(f'cd /d "{project_root}"\n')
f.write("call start.bat\n")
CREATE_NEW_PROCESS_GROUP = 0x00000200
DETACHED_PROCESS = 0x00000008
subprocess.Popen(
["cmd", "/c", script],
creationflags=DETACHED_PROCESS | CREATE_NEW_PROCESS_GROUP,
close_fds=True,
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL,
)
else:
script = os.path.join(tmp, "restart.sh")
with open(script, "w") as f:
f.write("#!/bin/bash\n")
f.write("sleep 3\n")
f.write(f'cd "{project_root}"\n')
f.write("bash start.sh\n")
os.chmod(script, 0o755)
subprocess.Popen(
["bash", script],
start_new_session=True,
close_fds=True,
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL,
)
logger.info("Restart script spawned — exiting current process")
os._exit(0)
# ---------------------------------------------------------------------------
# Public entry point
# ---------------------------------------------------------------------------
def perform_update(project_root: str) -> dict:
"""Download the latest release, back up current files, and extract the update.
Returns a dict with status info on success, or {"status": "error", "message": ...}
on failure. Does NOT trigger restart caller should call schedule_restart()
separately after the HTTP response has been sent.
"""
temp_dir = tempfile.mkdtemp(prefix="sb_update_")
try:
zip_path, version, url = _download_release(temp_dir)
backup_path = _backup_current(project_root, temp_dir)
copied = _extract_and_copy(zip_path, project_root, temp_dir)
return {
"status": "ok",
"version": version,
"files_updated": copied,
"backup_path": backup_path,
"message": f"Updated to {version}{copied} files replaced. Restarting...",
}
except Exception as e:
logger.error(f"Update failed: {e}", exc_info=True)
return {
"status": "error",
"message": str(e),
}
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import pytest
from unittest.mock import patch, MagicMock
@pytest.fixture(autouse=True)
def _suppress_background_services():
"""Prevent real scheduler/stream/tracker from starting during tests."""
with patch("services.data_fetcher.start_scheduler"), \
patch("services.data_fetcher.stop_scheduler"), \
patch("services.ais_stream.start_ais_stream"), \
patch("services.ais_stream.stop_ais_stream"), \
patch("services.carrier_tracker.start_carrier_tracker"), \
patch("services.carrier_tracker.stop_carrier_tracker"):
yield
@pytest.fixture()
def client(_suppress_background_services):
"""HTTPX test client against the FastAPI app (no real network)."""
from httpx import ASGITransport, AsyncClient
from main import app
import asyncio
transport = ASGITransport(app=app)
async def _make_client():
async with AsyncClient(transport=transport, base_url="http://test") as ac:
return ac
# Return a sync-usable wrapper
class SyncClient:
def __init__(self):
self._loop = asyncio.new_event_loop()
self._transport = ASGITransport(app=app)
def get(self, url, **kw):
return self._loop.run_until_complete(self._get(url, **kw))
async def _get(self, url, **kw):
async with AsyncClient(transport=self._transport, base_url="http://test") as ac:
return await ac.get(url, **kw)
def put(self, url, **kw):
return self._loop.run_until_complete(self._put(url, **kw))
async def _put(self, url, **kw):
async with AsyncClient(transport=self._transport, base_url="http://test") as ac:
return await ac.put(url, **kw)
return SyncClient()
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"""Smoke tests for all API endpoints — verifies routes exist and return valid responses."""
import pytest
class TestHealthEndpoint:
def test_health_returns_200(self, client):
r = client.get("/api/health")
assert r.status_code == 200
data = r.json()
assert data["status"] == "ok"
assert "sources" in data
assert "freshness" in data
def test_health_has_uptime(self, client):
r = client.get("/api/health")
data = r.json()
assert "uptime_seconds" in data
assert isinstance(data["uptime_seconds"], (int, float))
class TestLiveDataEndpoints:
def test_live_data_returns_200(self, client):
r = client.get("/api/live-data")
assert r.status_code == 200
def test_live_data_fast_returns_200_or_304(self, client):
r = client.get("/api/live-data/fast")
assert r.status_code in (200, 304)
if r.status_code == 200:
data = r.json()
assert "freshness" in data
def test_live_data_slow_returns_200_or_304(self, client):
r = client.get("/api/live-data/slow")
assert r.status_code in (200, 304)
if r.status_code == 200:
data = r.json()
assert "freshness" in data
def test_fast_has_expected_keys(self, client):
r = client.get("/api/live-data/fast")
if r.status_code == 200:
data = r.json()
for key in ("commercial_flights", "military_flights", "ships", "satellites"):
assert key in data, f"Missing key: {key}"
def test_slow_has_expected_keys(self, client):
r = client.get("/api/live-data/slow")
if r.status_code == 200:
data = r.json()
for key in ("news", "stocks", "weather", "earthquakes"):
assert key in data, f"Missing key: {key}"
class TestDebugEndpoint:
def test_debug_latest_returns_list(self, client):
r = client.get("/api/debug-latest")
assert r.status_code == 200
data = r.json()
assert isinstance(data, list)
class TestSettingsEndpoints:
def test_get_api_keys(self, client):
r = client.get("/api/settings/api-keys")
assert r.status_code == 200
data = r.json()
assert isinstance(data, list)
def test_get_news_feeds(self, client):
r = client.get("/api/settings/news-feeds")
assert r.status_code == 200
data = r.json()
assert isinstance(data, list)
class TestRadioEndpoints:
def test_radio_top_returns_200(self, client):
r = client.get("/api/radio/top")
assert r.status_code == 200
def test_radio_openmhz_systems(self, client):
r = client.get("/api/radio/openmhz/systems")
assert r.status_code == 200
class TestQueryValidation:
def test_region_dossier_rejects_invalid_lat(self, client):
r = client.get("/api/region-dossier?lat=999&lng=0")
assert r.status_code == 422
def test_region_dossier_rejects_invalid_lng(self, client):
r = client.get("/api/region-dossier?lat=0&lng=999")
assert r.status_code == 422
def test_sentinel_rejects_invalid_coords(self, client):
r = client.get("/api/sentinel2/search?lat=-100&lng=0")
assert r.status_code == 422
def test_radio_nearest_rejects_invalid_lat(self, client):
r = client.get("/api/radio/nearest?lat=91&lng=0")
assert r.status_code == 422
class TestETagBehavior:
def test_fast_returns_etag_header(self, client):
r = client.get("/api/live-data/fast")
if r.status_code == 200:
assert "etag" in r.headers
def test_slow_returns_etag_header(self, client):
r = client.get("/api/live-data/slow")
if r.status_code == 200:
assert "etag" in r.headers