import sqlite3
from sfm.database import SeismoDb
from minimateplus.models import Event, Timestamp


def _ins(db, key, serial, pvs, ts, record_type="Waveform"):
    ev = Event(index=0)
    ev._waveform_key = bytes.fromhex(key)
    ev.timestamp = ts
    db.insert_events([ev], serial=serial)
    row = [r for r in db.query_events(serial=serial) if r["waveform_key"] == key][0]
    with sqlite3.connect(db.db_path) as c:
        c.execute("UPDATE events SET peak_vector_sum=?, record_type=? WHERE id=?",
                  (pvs, record_type, row["id"]))
    return row["id"]


def _ts(hour, minute, second=0, day=25):
    return Timestamp(raw=b"", flag=0x10, year=2026, unknown_byte=0, month=2, day=day,
                     hour=hour, minute=minute, second=second)


def test_propagate_copies_flags_across_hours_apart_twins(tmp_path):
    # Flagging the waveform FT propagates to its histogram twin 75 min earlier
    # (the interval matcher pairs them; the old ±5-min window would have missed it).
    db = SeismoDb(tmp_path / "s.db")
    hist  = _ins(db, "01110001", "BE1", 0.4763, _ts(19, 31, 17), "Histogram")
    wave  = _ins(db, "01110002", "BE1", 0.4763, _ts(20, 46, 44), "Waveform")   # twin, 75 min later
    other = _ins(db, "01110003", "BE1", 0.9999, _ts(20, 20, 0),  "Waveform")   # different pvs

    db.update_event_review(wave, {"false_trigger": True})
    moved = db.propagate_review_to_twins(wave)

    assert hist in moved
    assert db.get_event(hist)["false_trigger"] == 1
    assert db.get_event(other)["false_trigger"] == 0