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}