36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
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"""Orbital regime classification based on mean motion.
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Thresholds match the bench/load_bench.sh SQL query:
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LEO: mean_motion > 11.25 rev/day (period < 128 min, alt < ~2000 km)
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MEO: mean_motion > 1.8 rev/day (period < 800 min)
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GEO: mean_motion > 0.9 rev/day (near-synchronous)
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HEO: everything else (Molniya, tundra, GTO, etc.)
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"""
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from .tle import TLERecord
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def classify_regime(mean_motion: float) -> str:
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"""Classify orbital regime from mean motion (revs/day)."""
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if mean_motion > 11.25:
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return "LEO"
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if mean_motion > 1.8:
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return "MEO"
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if mean_motion > 0.9:
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return "GEO"
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return "HEO"
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def classify_record(rec: TLERecord) -> str:
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"""Classify a TLERecord's orbital regime."""
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return classify_regime(rec.mean_motion)
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def regime_summary(records: dict[int, TLERecord]) -> dict[str, int]:
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"""Count objects per regime."""
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counts: dict[str, int] = {"LEO": 0, "MEO": 0, "GEO": 0, "HEO": 0}
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for rec in records.values():
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regime = classify_record(rec)
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counts[regime] = counts.get(regime, 0) + 1
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return counts
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