v0.8.0: POTUS fleet tracking, full aircraft color-coding, carrier fidelity, UI overhaul

New features:
- POTUS fleet (AF1, AF2, Marine One) with hot-pink icons + gold halo ring
- 9-color aircraft system: military, medical, police, VIP, privacy, dictators
- Sentinel-2 fullscreen overlay with download/copy/open buttons (green themed)
- Carrier homeport deconfliction — distinct pier positions instead of stacking
- Toggle all data layers button (cyan when active, excludes MODIS Terra)
- Version badge + update checker + Discussions shortcut in UI
- Overhauled MapLegend with POTUS fleet, wildfires, infrastructure sections
- Data center map layer with ~700 global DCs from curated dataset

Fixes:
- All Air Force Two ICAO hex codes now correctly identified
- POTUS icon priority over grounded state
- Sentinel-2 no longer overlaps bottom coordinate bar
- Region dossier Nominatim 429 rate-limit retry/backoff
- Docker ENV legacy format warnings resolved
- UI buttons cyan in dark mode, grey in light mode
- Circuit breaker for flaky upstream APIs

Community: @suranyami — parallel multi-arch Docker builds + runtime BACKEND_URL fix (PR #35, #44)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Former-commit-id: 7c523df70a2d26f675603166e3513d29230592cd
This commit is contained in:
anoracleofra-code
2026-03-12 09:30:51 -06:00
parent a0d0a449eb
commit 34db99deaf
20 changed files with 907 additions and 553 deletions
+150 -86
View File
@@ -26,104 +26,116 @@ logger = logging.getLogger(__name__)
# Carrier registry: hull number → metadata + fallback position
# -----------------------------------------------------------------
CARRIER_REGISTRY: Dict[str, dict] = {
# Fallback positions sourced from USNI News Fleet & Marine Tracker (Mar 9, 2026)
# https://news.usni.org/2026/03/09/usni-news-fleet-and-marine-tracker-march-9-2026
# --- Bremerton, WA (Naval Base Kitsap) ---
# Distinct pier positions along Sinclair Inlet so carriers don't stack
"CVN-68": {
"name": "USS Nimitz (CVN-68)",
"wiki": "https://en.wikipedia.org/wiki/USS_Nimitz",
"homeport": "Bremerton, WA",
"homeport_lat": 47.56, "homeport_lng": -122.63,
"fallback_lat": 21.35, "fallback_lng": -157.95,
"fallback_heading": 270,
"fallback_desc": "Pacific Fleet / Pearl Harbor"
},
"CVN-69": {
"name": "USS Dwight D. Eisenhower (CVN-69)",
"wiki": "https://en.wikipedia.org/wiki/USS_Dwight_D._Eisenhower",
"homeport": "Norfolk, VA",
"homeport_lat": 36.95, "homeport_lng": -76.33,
"fallback_lat": 18.0, "fallback_lng": 39.5,
"fallback_heading": 120,
"fallback_desc": "Red Sea / CENTCOM AOR"
},
"CVN-78": {
"name": "USS Gerald R. Ford (CVN-78)",
"wiki": "https://en.wikipedia.org/wiki/USS_Gerald_R._Ford",
"homeport": "Norfolk, VA",
"homeport_lat": 36.95, "homeport_lng": -76.33,
"fallback_lat": 34.0, "fallback_lng": 25.0,
"homeport_lat": 47.5535, "homeport_lng": -122.6400,
"fallback_lat": 47.5535, "fallback_lng": -122.6400,
"fallback_heading": 90,
"fallback_desc": "Eastern Mediterranean deterrence"
},
"CVN-70": {
"name": "USS Carl Vinson (CVN-70)",
"wiki": "https://en.wikipedia.org/wiki/USS_Carl_Vinson",
"homeport": "San Diego, CA",
"homeport_lat": 32.68, "homeport_lng": -117.15,
"fallback_lat": 15.0, "fallback_lng": 115.0,
"fallback_heading": 45,
"fallback_desc": "South China Sea patrol"
},
"CVN-71": {
"name": "USS Theodore Roosevelt (CVN-71)",
"wiki": "https://en.wikipedia.org/wiki/USS_Theodore_Roosevelt_(CVN-71)",
"homeport": "San Diego, CA",
"homeport_lat": 32.68, "homeport_lng": -117.15,
"fallback_lat": 22.0, "fallback_lng": 122.0,
"fallback_heading": 300,
"fallback_desc": "Philippine Sea / Taiwan Strait"
},
"CVN-72": {
"name": "USS Abraham Lincoln (CVN-72)",
"wiki": "https://en.wikipedia.org/wiki/USS_Abraham_Lincoln_(CVN-72)",
"homeport": "San Diego, CA",
"homeport_lat": 32.68, "homeport_lng": -117.15,
"fallback_lat": 21.0, "fallback_lng": -158.0,
"fallback_heading": 270,
"fallback_desc": "Pacific deployment"
},
"CVN-73": {
"name": "USS George Washington (CVN-73)",
"wiki": "https://en.wikipedia.org/wiki/USS_George_Washington_(CVN-73)",
"homeport": "Yokosuka, Japan",
"homeport_lat": 35.28, "homeport_lng": 139.67,
"fallback_lat": 35.0, "fallback_lng": 139.0,
"fallback_heading": 0,
"fallback_desc": "Yokosuka, Japan (Forward deployed)"
},
"CVN-74": {
"name": "USS John C. Stennis (CVN-74)",
"wiki": "https://en.wikipedia.org/wiki/USS_John_C._Stennis",
"homeport": "Norfolk, VA",
"homeport_lat": 36.95, "homeport_lng": -76.33,
"fallback_lat": 36.95, "fallback_lng": -76.33,
"fallback_heading": 0,
"fallback_desc": "RCOH / Norfolk (maintenance)"
},
"CVN-75": {
"name": "USS Harry S. Truman (CVN-75)",
"wiki": "https://en.wikipedia.org/wiki/USS_Harry_S._Truman",
"homeport": "Norfolk, VA",
"homeport_lat": 36.95, "homeport_lng": -76.33,
"fallback_lat": 36.0, "fallback_lng": 15.0,
"fallback_heading": 90,
"fallback_desc": "Mediterranean deployment"
"fallback_desc": "Bremerton, WA (Maintenance)"
},
"CVN-76": {
"name": "USS Ronald Reagan (CVN-76)",
"wiki": "https://en.wikipedia.org/wiki/USS_Ronald_Reagan",
"homeport": "Bremerton, WA",
"homeport_lat": 47.56, "homeport_lng": -122.63,
"fallback_lat": 47.56, "fallback_lng": -122.63,
"homeport_lat": 47.5580, "homeport_lng": -122.6360,
"fallback_lat": 47.5580, "fallback_lng": -122.6360,
"fallback_heading": 90,
"fallback_desc": "Bremerton, WA (Decommissioning)"
},
# --- Norfolk, VA (Naval Station Norfolk) ---
# Piers run N-S along Willoughby Bay; each carrier gets a distinct berth
"CVN-69": {
"name": "USS Dwight D. Eisenhower (CVN-69)",
"wiki": "https://en.wikipedia.org/wiki/USS_Dwight_D._Eisenhower",
"homeport": "Norfolk, VA",
"homeport_lat": 36.9465, "homeport_lng": -76.3265,
"fallback_lat": 36.9465, "fallback_lng": -76.3265,
"fallback_heading": 0,
"fallback_desc": "Bremerton, WA (Homeport)"
"fallback_desc": "Norfolk, VA (Post-deployment maintenance)"
},
"CVN-78": {
"name": "USS Gerald R. Ford (CVN-78)",
"wiki": "https://en.wikipedia.org/wiki/USS_Gerald_R._Ford",
"homeport": "Norfolk, VA",
"homeport_lat": 36.9505, "homeport_lng": -76.3250,
"fallback_lat": 18.0, "fallback_lng": 39.5,
"fallback_heading": 0,
"fallback_desc": "Red Sea — Operation Epic Fury (USNI Mar 9)"
},
"CVN-74": {
"name": "USS John C. Stennis (CVN-74)",
"wiki": "https://en.wikipedia.org/wiki/USS_John_C._Stennis",
"homeport": "Norfolk, VA",
"homeport_lat": 36.9540, "homeport_lng": -76.3235,
"fallback_lat": 36.98, "fallback_lng": -76.43,
"fallback_heading": 0,
"fallback_desc": "Newport News, VA (RCOH refueling overhaul)"
},
"CVN-75": {
"name": "USS Harry S. Truman (CVN-75)",
"wiki": "https://en.wikipedia.org/wiki/USS_Harry_S._Truman",
"homeport": "Norfolk, VA",
"homeport_lat": 36.9580, "homeport_lng": -76.3220,
"fallback_lat": 36.0, "fallback_lng": 15.0,
"fallback_heading": 0,
"fallback_desc": "Mediterranean Sea deployment (USNI Mar 9)"
},
"CVN-77": {
"name": "USS George H.W. Bush (CVN-77)",
"wiki": "https://en.wikipedia.org/wiki/USS_George_H.W._Bush",
"homeport": "Norfolk, VA",
"homeport_lat": 36.95, "homeport_lng": -76.33,
"fallback_lat": 36.95, "fallback_lng": -76.33,
"homeport_lat": 36.9620, "homeport_lng": -76.3210,
"fallback_lat": 36.5, "fallback_lng": -74.0,
"fallback_heading": 0,
"fallback_desc": "Norfolk, VA (Homeport)"
"fallback_desc": "Atlantic — Pre-deployment workups (USNI Mar 9)"
},
# --- San Diego, CA (Naval Base San Diego) ---
# Carrier piers along the east shore of San Diego Bay, spread N-S
"CVN-70": {
"name": "USS Carl Vinson (CVN-70)",
"wiki": "https://en.wikipedia.org/wiki/USS_Carl_Vinson",
"homeport": "San Diego, CA",
"homeport_lat": 32.6840, "homeport_lng": -117.1290,
"fallback_lat": 32.6840, "fallback_lng": -117.1290,
"fallback_heading": 180,
"fallback_desc": "San Diego, CA (Homeport)"
},
"CVN-71": {
"name": "USS Theodore Roosevelt (CVN-71)",
"wiki": "https://en.wikipedia.org/wiki/USS_Theodore_Roosevelt_(CVN-71)",
"homeport": "San Diego, CA",
"homeport_lat": 32.6885, "homeport_lng": -117.1280,
"fallback_lat": 32.6885, "fallback_lng": -117.1280,
"fallback_heading": 180,
"fallback_desc": "San Diego, CA (Maintenance)"
},
"CVN-72": {
"name": "USS Abraham Lincoln (CVN-72)",
"wiki": "https://en.wikipedia.org/wiki/USS_Abraham_Lincoln_(CVN-72)",
"homeport": "San Diego, CA",
"homeport_lat": 32.6925, "homeport_lng": -117.1275,
"fallback_lat": 20.0, "fallback_lng": 64.0,
"fallback_heading": 0,
"fallback_desc": "Arabian Sea — Operation Epic Fury (USNI Mar 9)"
},
# --- Yokosuka, Japan (CFAY) ---
"CVN-73": {
"name": "USS George Washington (CVN-73)",
"wiki": "https://en.wikipedia.org/wiki/USS_George_Washington_(CVN-73)",
"homeport": "Yokosuka, Japan",
"homeport_lat": 35.2830, "homeport_lng": 139.6700,
"fallback_lat": 35.2830, "fallback_lng": 139.6700,
"fallback_heading": 180,
"fallback_desc": "Yokosuka, Japan (Forward deployed)"
},
}
@@ -302,7 +314,8 @@ def _parse_carrier_positions_from_news(articles: List[dict]) -> Dict[str, dict]:
"lat": coords[0],
"lng": coords[1],
"desc": title[:100],
"source": "GDELT OSINT",
"source": "GDELT News API",
"source_url": article.get("url", "https://api.gdeltproject.org"),
"updated": datetime.now(timezone.utc).isoformat()
}
logger.info(f"Carrier update: {CARRIER_REGISTRY[hull]['name']}{coords} (from: {title[:80]})")
@@ -316,7 +329,7 @@ def update_carrier_positions():
logger.info("Carrier tracker: updating positions from OSINT sources...")
# Start with fallback positions
# Start with fallback positions (sourced from USNI News Fleet Tracker)
positions: Dict[str, dict] = {}
for hull, info in CARRIER_REGISTRY.items():
positions[hull] = {
@@ -326,7 +339,8 @@ def update_carrier_positions():
"heading": info["fallback_heading"],
"desc": info["fallback_desc"],
"wiki": info["wiki"],
"source": "Static OSINT estimate",
"source": "USNI News Fleet & Marine Tracker",
"source_url": "https://news.usni.org/category/fleet-tracker",
"updated": datetime.now(timezone.utc).isoformat()
}
@@ -370,6 +384,55 @@ def update_carrier_positions():
logger.info(f"Carrier tracker: {len(positions)} carriers updated. Sources: {sources}")
def _deconflict_positions(result: List[dict]) -> List[dict]:
"""Offset carriers that share identical coordinates so they don't stack.
At port: offset along the pier axis (~500m / 0.004° apart).
At sea: offset perpendicular to each other (~0.08° / ~9km apart)
so they're visibly separate but clearly operating together.
"""
# Group by rounded lat/lng (within ~0.01° ≈ 1km = same spot)
from collections import defaultdict
groups: dict[str, list[int]] = defaultdict(list)
for i, c in enumerate(result):
key = f"{round(c['lat'], 2)},{round(c['lng'], 2)}"
groups[key].append(i)
for indices in groups.values():
if len(indices) < 2:
continue
n = len(indices)
# Determine if this is a port (near a homeport) or at sea
sample = result[indices[0]]
at_port = any(
abs(sample["lat"] - info.get("homeport_lat", 0)) < 0.05
and abs(sample["lng"] - info.get("homeport_lng", 0)) < 0.05
for info in CARRIER_REGISTRY.values()
)
if at_port:
# Use each carrier's distinct homeport pier coordinates
for idx in indices:
carrier = result[idx]
hull = None
for h, info in CARRIER_REGISTRY.items():
if info["name"] == carrier["name"]:
hull = h
break
if hull:
info = CARRIER_REGISTRY[hull]
carrier["lat"] = info["homeport_lat"]
carrier["lng"] = info["homeport_lng"]
else:
# At sea: spread in a line perpendicular to travel (~0.08° apart)
spacing = 0.08 # ~9km — close enough to see they're together
start_offset = -(n - 1) * spacing / 2
for j, idx in enumerate(indices):
result[idx]["lng"] += start_offset + j * spacing
return result
def get_carrier_positions() -> List[dict]:
"""Return current carrier positions for the data pipeline."""
with _positions_lock:
@@ -381,7 +444,7 @@ def get_carrier_positions() -> List[dict]:
"type": "carrier",
"lat": pos["lat"],
"lng": pos["lng"],
"heading": pos.get("heading", 0),
"heading": None, # Heading unknown for carriers — OSINT cannot determine true heading
"sog": 0,
"cog": 0,
"country": "United States",
@@ -389,9 +452,10 @@ def get_carrier_positions() -> List[dict]:
"wiki": pos.get("wiki", info.get("wiki", "")),
"estimated": True,
"source": pos.get("source", "OSINT estimated position"),
"source_url": pos.get("source_url", "https://news.usni.org/category/fleet-tracker"),
"last_osint_update": pos.get("updated", "")
})
return result
return _deconflict_positions(result)
# -----------------------------------------------------------------
+162 -174
View File
@@ -467,7 +467,8 @@ def fetch_news():
source_weights = {f["name"]: f["weight"] for f in feed_config}
clusters = {}
_cluster_grid = {} # spatial hash grid: (cell_x, cell_y) → [cluster_keys]
# Fetch all feeds in parallel for speed (each has a 10s timeout)
def _fetch_feed(item):
source_name, url = item
@@ -540,20 +541,25 @@ def fetch_news():
break
# If mapped, check if there is an existing cluster within ~400km (4 degrees) to merge them
# Uses spatial hash grid (4° cells) for O(1) lookup instead of O(n) scan
if lat is not None:
key = None
for existing_key in clusters.keys():
if "," in existing_key:
parts = existing_key.split(",")
try:
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 = existing_key
key = ckey
break
except ValueError:
pass
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
@@ -1193,11 +1199,11 @@ def fetch_flights():
if hex_id:
seen_hexes.add(hex_id)
# Prune stale trails (10 min for non-tracked, 30 min for tracked)
# Prune stale trails (5 min for non-tracked, 30 min for tracked)
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 - 600
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:
@@ -1308,17 +1314,25 @@ def fetch_ships():
"""Fetch real-time AIS vessel data and combine with OSINT carrier positions."""
from services.ais_stream import get_ais_vessels
from services.carrier_tracker import get_carrier_positions
ships = []
# Dynamic OSINT carrier positions (updated from GDELT + cache)
carriers = get_carrier_positions()
ships.extend(carriers)
try:
carriers = get_carrier_positions()
ships.extend(carriers)
except Exception as e:
logger.error(f"Carrier tracker error (non-fatal): {e}")
carriers = []
# Real AIS vessel data from aisstream.io
ais_vessels = get_ais_vessels()
ships.extend(ais_vessels)
try:
ais_vessels = get_ais_vessels()
ships.extend(ais_vessels)
except Exception as e:
logger.error(f"AIS stream error (non-fatal): {e}")
ais_vessels = []
logger.info(f"Ships: {len(carriers)} carriers + {len(ais_vessels)} AIS vessels")
latest_data['ships'] = ships
_mark_fresh("ships")
@@ -1677,123 +1691,37 @@ def fetch_internet_outages():
if outages:
_mark_fresh("internet_outages")
_DC_CACHE_PATH = Path(__file__).parent.parent / "data" / "datacenters.json"
_DC_URL = "https://raw.githubusercontent.com/Ringmast4r/Data-Center-Map---Global/1f290297c6a11454dc7a47bf95aef7cf0fe1d34c/datacenters_cleaned.json"
# Country bounding boxes (lat_min, lat_max, lng_min, lng_max) for coordinate validation.
# The source dataset has abs(lat) for all Southern Hemisphere entries, so we fix the sign
# and then validate the result falls within the country's bounding box.
_COUNTRY_BBOX: dict[str, tuple[float, float, float, float]] = {
"Argentina": (-55, -21, -74, -53), "Australia": (-44, -10, 112, 154),
"Bolivia": (-23, -9, -70, -57), "Brazil": (-34, 6, -74, -34),
"Chile": (-56, -17, -76, -66), "Colombia": (-5, 13, -82, -66),
"Ecuador": (-5, 2, -81, -75), "Indonesia": (-11, 6, 95, 141),
"Kenya": (-5, 5, 34, 42), "Madagascar": (-26, -12, 43, 51),
"Mozambique": (-27, -10, 30, 41), "New Zealand": (-47, -34, 166, 179),
"Paraguay": (-28, -19, -63, -54), "Peru": (-18, 0, -82, -68),
"South Africa": (-35, -22, 16, 33), "Tanzania": (-12, -1, 29, 41),
"Uruguay": (-35, -30, -59, -53), "Zimbabwe": (-23, -15, 25, 34),
# Northern-hemisphere countries for validation only
"United States": (24, 72, -180, -65), "Canada": (41, 84, -141, -52),
"United Kingdom": (49, 61, -9, 2), "Germany": (47, 55, 5, 16),
"France": (41, 51, -5, 10), "Japan": (24, 46, 123, 146),
"India": (6, 36, 68, 98), "China": (18, 54, 73, 135),
"Singapore": (1, 2, 103, 105), "Spain": (36, 44, -10, 5),
"Netherlands": (50, 54, 3, 8), "Sweden": (55, 70, 11, 25),
"Italy": (36, 47, 6, 19), "Russia": (41, 82, 19, 180),
"Mexico": (14, 33, -118, -86), "Nigeria": (4, 14, 2, 15),
"Thailand": (5, 21, 97, 106), "Malaysia": (0, 8, 99, 120),
"Philippines": (4, 21, 116, 127), "South Korea": (33, 39, 124, 132),
"Taiwan": (21, 26, 119, 123), "Hong Kong": (22, 23, 113, 115),
"Vietnam": (8, 24, 102, 110), "Poland": (49, 55, 14, 25),
"Switzerland": (45, 48, 5, 11), "Austria": (46, 49, 9, 17),
"Belgium": (49, 52, 2, 7), "Denmark": (54, 58, 8, 16),
"Finland": (59, 70, 20, 32), "Norway": (57, 72, 4, 32),
"Ireland": (51, 56, -11, -5), "Portugal": (36, 42, -10, -6),
"Turkey": (35, 42, 25, 45), "Israel": (29, 34, 34, 36),
"UAE": (22, 27, 51, 56), "Saudi Arabia": (16, 33, 34, 56),
}
# Countries whose DCs always sit south of the equator
_SOUTHERN_COUNTRIES = {
"Argentina", "Australia", "Bolivia", "Brazil", "Chile", "Madagascar",
"Mozambique", "New Zealand", "Paraguay", "Peru", "South Africa",
"Tanzania", "Uruguay", "Zimbabwe",
}
def _fix_dc_coords(lat: float, lng: float, country: str) -> tuple[float, float] | None:
"""Fix and validate data-center coordinates against the stated country.
The source dataset stores abs(lat) for Southern-Hemisphere entries.
We negate lat when the country is in the Southern Hemisphere, then
validate the result falls within the country bounding box (if known).
Returns corrected (lat, lng) or None if the coords are clearly wrong.
"""
# Fix Southern Hemisphere sign
if country in _SOUTHERN_COUNTRIES and lat > 0:
lat = -lat
bbox = _COUNTRY_BBOX.get(country)
if bbox:
lat_min, lat_max, lng_min, lng_max = bbox
if lat_min <= lat <= lat_max and lng_min <= lng <= lng_max:
return lat, lng
# Try swapping sign as last resort (some entries are just wrong sign)
if lat_min <= -lat <= lat_max and lng_min <= lng <= lng_max:
return -lat, lng
# Coords don't match country at all — drop the entry
return None
# No bbox for this country — basic sanity only
return lat, lng
_DC_GEOCODED_PATH = Path(__file__).parent.parent / "data" / "datacenters_geocoded.json"
def fetch_datacenters():
"""Load data center locations (static dataset, cached locally after first fetch)."""
"""Load geocoded data centers (5K+ street-level precise locations)."""
dcs = []
try:
raw = None
# Use local cache if it exists and is less than 7 days old
if _DC_CACHE_PATH.exists():
age_days = (time.time() - _DC_CACHE_PATH.stat().st_mtime) / 86400
if age_days < 7:
raw = json.loads(_DC_CACHE_PATH.read_text(encoding="utf-8"))
# Otherwise fetch from GitHub
if raw is None:
resp = fetch_with_curl(_DC_URL, timeout=20)
if resp.status_code == 200:
raw = resp.json()
_DC_CACHE_PATH.parent.mkdir(parents=True, exist_ok=True)
_DC_CACHE_PATH.write_text(json.dumps(raw), encoding="utf-8")
if raw:
dropped = 0
for entry in raw:
coords = entry.get("city_coords")
if not coords or not isinstance(coords, list) or len(coords) < 2:
continue
lat, lng = coords[0], coords[1]
if not (-90 <= lat <= 90 and -180 <= lng <= 180):
continue
country = entry.get("country", "")
fixed = _fix_dc_coords(lat, lng, country)
if fixed is None:
dropped += 1
continue
lat, lng = fixed
dcs.append({
"name": entry.get("name", "Unknown"),
"company": entry.get("company", ""),
"city": entry.get("city", ""),
"country": country,
"lat": lat,
"lng": lng,
})
if dropped:
logger.info(f"Data centers: dropped {dropped} entries with mismatched coordinates")
logger.info(f"Data centers: {len(dcs)} with valid coordinates (from {'cache' if _DC_CACHE_PATH.exists() else 'GitHub'})")
if not _DC_GEOCODED_PATH.exists():
logger.warning(f"Geocoded DC file not found: {_DC_GEOCODED_PATH}")
return
raw = json.loads(_DC_GEOCODED_PATH.read_text(encoding="utf-8"))
for entry in raw:
lat = entry.get("lat")
lng = entry.get("lng")
if lat is None or lng is None:
continue
if not (-90 <= lat <= 90 and -180 <= lng <= 180):
continue
dcs.append({
"name": entry.get("name", "Unknown"),
"company": entry.get("company", ""),
"street": entry.get("street", ""),
"city": entry.get("city", ""),
"country": entry.get("country", ""),
"zip": entry.get("zip", ""),
"lat": lat,
"lng": lng,
})
logger.info(f"Data centers: {len(dcs)} geocoded locations loaded")
except Exception as e:
logger.error(f"Error fetching data centers: {e}")
logger.error(f"Error loading data centers: {e}")
latest_data["datacenters"] = dcs
if dcs:
_mark_fresh("datacenters")
@@ -1859,7 +1787,37 @@ def fetch_earthquakes():
_mark_fresh("earthquakes")
# Satellite GP data cache — re-download from CelesTrak only every 30 minutes
_sat_gp_cache = {"data": None, "last_fetch": 0}
_sat_gp_cache = {"data": None, "last_fetch": 0, "source": "none"}
_sat_classified_cache = {"data": None, "gp_fetch_ts": 0} # Cache classified sat list (skip re-classification when TLEs unchanged)
_SAT_CACHE_PATH = Path(__file__).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: # Use cache if less than 48 hours old
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 — module-level constant.
# Key: substring to match in OBJECT_NAME → {country, mission, sat_type, wiki}
@@ -1961,31 +1919,39 @@ def _fetch_satellites_from_tle_api():
term = key.split()[0] if len(key.split()) > 1 and key.split()[0] in ("USA", "NROL") else key
search_terms.add(term)
all_results = []
seen_ids = set()
for term in search_terms:
def _fetch_term(term):
"""Fetch a single search term from TLE API."""
results = []
try:
url = f"https://tle.ivanstanojevic.me/api/tle/?search={term}&page_size=100&format=json"
response = fetch_with_curl(url, timeout=10)
response = fetch_with_curl(url, timeout=8)
if response.status_code != 200:
continue
return results
data = response.json()
for member in data.get("member", []):
sat_id = member.get("satelliteId")
if sat_id in seen_ids:
continue
seen_ids.add(sat_id)
gp = _parse_tle_to_gp(
member.get("name", "UNKNOWN"),
sat_id,
member.get("satelliteId"),
member.get("line1", ""),
member.get("line2", ""),
)
if gp:
all_results.append(gp)
results.append(gp)
except Exception as e:
logger.debug(f"TLE fallback search '{term}' failed: {e}")
continue
return results
# Fetch ALL search terms in parallel (was sequential — 35+ requests taking forever)
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
@@ -1998,25 +1964,28 @@ def fetch_satellites():
now_ts = time.time()
if _sat_gp_cache["data"] is None or (now_ts - _sat_gp_cache["last_fetch"]) > 1800:
# Try multiple CelesTrak mirrors — .org is often blocked/banned by some networks
# Short timeout (5s) so we fail fast and hit the TLE fallback quickly
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=8)
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
# Fallback: if CelesTrak is blocked, use tle.ivanstanojevic.me TLE API
# Fallback 1: TLE API (parallel fetch)
if _sat_gp_cache["data"] is None:
logger.info("Satellites: CelesTrak unreachable, trying TLE fallback API...")
try:
@@ -2024,10 +1993,20 @@ def fetch_satellites():
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}")
# Fallback 2: local disk cache (survives API outages / rate limits)
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 # Mark as slightly stale so we retry sooner
_sat_gp_cache["source"] = "disk_cache"
data = _sat_gp_cache["data"]
if not data:
logger.warning("No satellite GP data available from any source")
@@ -2035,33 +2014,40 @@ def fetch_satellites():
return
# Only keep satellites matching the intel classification DB
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 # Skip junk, debris, CubeSats, bulk constellations
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)
# Skip re-classification if TLEs haven't changed (saves O(n*m) scan)
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 # Skip junk, debris, CubeSats, bulk constellations
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
logger.info(f"Satellites: {len(classified)} intel-classified out of {len(data)} total in catalog")
# Propagate orbital elements to get current lat/lng/alt using SGP4
now = datetime.utcnow()
@@ -2156,9 +2142,11 @@ def fetch_satellites():
# Only overwrite if we got data — don't wipe the map on API timeout
if sats:
latest_data["satellites"] = sats
latest_data["satellite_source"] = _sat_gp_cache.get("source", "none")
_mark_fresh("satellites")
elif not latest_data.get("satellites"):
latest_data["satellites"] = []
latest_data["satellite_source"] = "none"
# ---------------------------------------------------------------------------
# Real UAV detection from ADS-B data — filters military drone transponders
@@ -2368,14 +2356,14 @@ def update_slow_data():
logger.info("Slow-tier update complete.")
def update_all_data():
"""Full update — runs on startup. Fast and slow tiers run IN PARALLEL for fastest startup."""
"""Full update — runs on startup. All tiers run IN PARALLEL for fastest startup."""
logger.info("Full data update starting (parallel)...")
fetch_airports() # Cached after first download
# Run fast + slow in parallel so the user sees data ASAP
with concurrent.futures.ThreadPoolExecutor(max_workers=2) as pool:
# Run airports, fast, and slow ALL in parallel so the user sees data ASAP
with concurrent.futures.ThreadPoolExecutor(max_workers=3) as pool:
f0 = pool.submit(fetch_airports) # Cached after first download
f1 = pool.submit(update_fast_data)
f2 = pool.submit(update_slow_data)
concurrent.futures.wait([f1, f2])
concurrent.futures.wait([f0, f1, f2])
logger.info("Full data update complete.")
scheduler = BackgroundScheduler()
+15 -1
View File
@@ -24,6 +24,11 @@ _BASH_PATH = shutil.which("bash") or "bash"
_domain_fail_cache: dict[str, float] = {}
_DOMAIN_FAIL_TTL = 300 # 5 minutes
# Circuit breaker: track domains where BOTH requests AND curl fail
# If a domain failed completely within the last 2 minutes, skip it entirely
_circuit_breaker: dict[str, float] = {}
_CIRCUIT_BREAKER_TTL = 120 # 2 minutes
class _DummyResponse:
"""Minimal response object matching requests.Response interface."""
def __init__(self, status_code, text):
@@ -54,6 +59,10 @@ def fetch_with_curl(url, method="GET", json_data=None, timeout=15, headers=None)
domain = urlparse(url).netloc
# Circuit breaker: if domain failed completely <2min ago, fail fast
if domain in _circuit_breaker and (time.time() - _circuit_breaker[domain]) < _CIRCUIT_BREAKER_TTL:
raise Exception(f"Circuit breaker open for {domain} (failed <{_CIRCUIT_BREAKER_TTL}s ago)")
# Check if this domain recently failed with requests — skip straight to curl
if domain in _domain_fail_cache and (time.time() - _domain_fail_cache[domain]) < _DOMAIN_FAIL_TTL:
pass # Fall through to curl below
@@ -64,8 +73,9 @@ def fetch_with_curl(url, method="GET", json_data=None, timeout=15, headers=None)
else:
res = _session.get(url, timeout=timeout, headers=default_headers)
res.raise_for_status()
# Clear failure cache on success
# Clear failure caches on success
_domain_fail_cache.pop(domain, None)
_circuit_breaker.pop(domain, None)
return res
except Exception as e:
logger.warning(f"Python requests failed for {url} ({e}), falling back to bash curl...")
@@ -92,10 +102,14 @@ def fetch_with_curl(url, method="GET", json_data=None, timeout=15, headers=None)
lines = res.stdout.rstrip().rsplit("\n", 1)
body = lines[0] if len(lines) > 1 else res.stdout
http_code = int(lines[-1]) if len(lines) > 1 and lines[-1].strip().isdigit() else 200
if http_code < 400:
_circuit_breaker.pop(domain, None) # Clear circuit breaker on success
return _DummyResponse(http_code, body)
else:
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:
logger.error(f"bash curl fallback exception: {curl_e}")
_circuit_breaker[domain] = time.time()
return _DummyResponse(500, "")