feat(db): find_twins (serial + identical PVS + time window)
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import datetime
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from sfm.database import SeismoDb
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from minimateplus.models import Event, Timestamp
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def _ins(db, key, serial, pvs, ts):
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ev = Event(index=0)
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ev._waveform_key = bytes.fromhex(key)
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ev.timestamp = ts
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# peak_vector_sum comes from peak_values; simplest: insert then UPDATE pvs directly
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db.insert_events([ev], serial=serial)
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row = [r for r in db.query_events(serial=serial) if r["waveform_key"] == key][0]
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import sqlite3
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with sqlite3.connect(db.db_path) as c:
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c.execute("UPDATE events SET peak_vector_sum=? WHERE id=?", (pvs, row["id"]))
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return row["id"]
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def test_find_twins_matches_same_serial_pvs_near_time(tmp_path):
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db = SeismoDb(tmp_path / "s.db")
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base = Timestamp(raw=b"", flag=0x10, year=2026, unknown_byte=0, month=2, day=25, hour=20, minute=19, second=5)
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twin = Timestamp(raw=b"", flag=0x10, year=2026, unknown_byte=0, month=2, day=25, hour=20, minute=19, second=45)
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far = Timestamp(raw=b"", flag=0x10, year=2026, unknown_byte=0, month=2, day=25, hour=21, minute=0, second=0)
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# d needs a timestamp distinct from `twin` (UNIQUE(serial, timestamp) would
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# otherwise collide with b and UPSERT onto its row instead of inserting a
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# new one) while staying near `base` in time.
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near = Timestamp(raw=b"", flag=0x10, year=2026, unknown_byte=0, month=2, day=25, hour=20, minute=19, second=44)
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a = _ins(db, "01110001", "BE1", 0.4763, base)
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b = _ins(db, "01110002", "BE1", 0.4763, twin) # twin: same serial+pvs, 40s apart
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c = _ins(db, "01110003", "BE1", 0.4763, far) # same pvs but >window away
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d = _ins(db, "01110004", "BE1", 0.9999, near) # near time but different pvs
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ids = {r["id"] for r in db.find_twins(a, window_seconds=300)}
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assert ids == {b}
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