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anoracleofra-code
60 lines
2.0 KiB
Python
60 lines
2.0 KiB
Python
import requests
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import time
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import math
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import random
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def test_fetch_and_triangulate():
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t0 = time.time()
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url = "https://api.adsb.lol/v2/lat/39.8/lon/-98.5/dist/1000"
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try:
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r = requests.get(url, timeout=10)
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data = r.json()
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print(f"Downloaded in {time.time() - t0:.2f}s")
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if "ac" in data:
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sampled = data["ac"]
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print("Flights:", len(sampled))
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else:
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print("No 'ac' in response:", data)
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# Load airports (mock for test)
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airports = [{"lat": random.uniform(-90, 90), "lng": random.uniform(-180, 180), "iata": f"A{i}"} for i in range(4000)]
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t1 = time.time()
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for f in sampled:
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lat = f.get("lat")
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lng = f.get("lon")
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heading = f.get("track", 0)
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if lat is None or lng is None: continue
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# Project 15 degrees (~1000 miles) backwards and forwards
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dist_deg = 15.0
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h_rad = math.radians(heading)
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dy = math.cos(h_rad) * dist_deg
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dx = math.sin(h_rad) * dist_deg
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cos_lat = max(0.2, math.cos(math.radians(lat)))
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origin_lat = lat - dy
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origin_lng = lng - (dx / cos_lat)
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dest_lat = lat + dy
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dest_lng = lng + (dx / cos_lat)
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# Find closest origin airport
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best_o, min_o = None, float('inf')
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for a in airports:
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d = (a['lat'] - origin_lat)**2 + (a['lng'] - origin_lng)**2
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if d < min_o: min_o = d; best_o = a
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# Find closest dest airport
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best_d, min_d = None, float('inf')
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for a in airports:
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d = (a['lat'] - dest_lat)**2 + (a['lng'] - dest_lng)**2
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if d < min_d: min_d = d; best_d = a
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print(f"Triangulated 500 flights against {len(airports)} airports in {time.time() - t1:.2f}s")
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except Exception as e:
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print("Error:", e)
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test_fetch_and_triangulate()
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