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Claude
02e535cb55
- City engine: Esri ground, OSM buildings that rise with the scan, road ribbons carrying modelled traffic coloured by congestion, NYC DOT cameras, real ADS-B, MBTA GTFS lines + realtime vehicles, LAX runways with approach strobes, Fort Bragg restricted volumes, Everest terrain with contours. - Indexing keeps accelerating into a 260-capture global sweep while the planet whips a full turn. - The eye opens: aperture blades, sensor array waking, optics calibration, radar sweep, orbiting coordinate ring. - Camera wall with YOLOv8n detections and a city-pulse trace. - Ends on GOD'S EYE VIEW / OMNISCIENCE. - audio/sfx.py: sound design only, built to sit under a music track. Co-Authored-By: Claude Opus 5.5 <[email protected]> Claude-Session: https://claude.ai/code/session_01KqP857pippaUs6konSDfe8
22 lines
1.3 KiB
Python
22 lines
1.3 KiB
Python
"""Live MBTA vehicle positions -> city/boston/vehicles.json (square + 1 km)."""
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import json, os, sys, requests
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from collections import Counter
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sys.path.insert(0, os.path.dirname(__file__))
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from common import enu, inside
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ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..'))
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j = requests.get('https://cdn.mbta.com/realtime/VehiclePositions_enhanced.json', timeout=30).json()
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rows, total = [], 0
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for e in j['entity']:
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v = e.get('vehicle') or {}; p = v.get('position') or {}
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if 'latitude' not in p: continue
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total += 1
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x, y = enu('boston', p['latitude'], p['longitude'])
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if not inside('boston', x, y, 1000): continue
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rid = (v.get('trip') or {}).get('route_id', '')
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lab = (v.get('vehicle') or {}).get('label') or (v.get('vehicle') or {}).get('id', '')
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sp = p.get('speed'); rows.append([x, y, p.get('bearing'), round(sp, 2) if sp is not None else None, rid, lab])
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out = {'t': int(j['header']['timestamp']), 'source': 'cdn.mbta.com VehiclePositions_enhanced.json', 'v': rows}
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json.dump(out, open(os.path.join(ROOT, 'city', 'boston', 'vehicles.json'), 'w'), separators=(',', ':'))
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c = Counter(r[4].split('-')[0] if r[4].startswith(('Green', 'CR')) else ('bus' if r[4][:1].isdigit() or r[4][:2] in ('SL','CT') else r[4]) for r in rows)
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print('t', out['t'], 'feed total', total, 'in square+1km', len(rows), dict(c))
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