Files
seismo-relay/tests/test_find_twins.py
T

34 lines
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Python

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