Productionizes the validated scratch/offset_scan3.py: a DC offset (baseline shifted off zero — sensor bumped/settled/drifted) is |median(pre-trigger)| >= 5 counts (0.025 in/s) AND flat across pre/mid/end thirds (spread <= 0.02); a transient moves one third and is rejected by the spread test. - shape_metrics: offset_from_samples / offset_from_h5 (reads .h5 samples + pretrig_samples attr; range-aware via the .h5's in/s float samples) - events schema: shape_offset / _axis / _pre / _spread (via _SCHEMA + the _migrate ADD COLUMN loop only; NOT the Migration-1 rebuild), threaded through insert + upsert mirroring shape_* - ingest: computed at all three waveform_store save paths alongside shape - backfill_event_shape: also computes + stores (and stale-clears) offset - exposed via /db/events automatically (SELECT *) Gating to waveforms is done downstream in terra-view ft_suspicion (mirrors how shape is ignored for histograms), not at the SFM call sites. 13 new tests. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01YDXjZCr4RqT2U3QvMDhgzf
65 lines
2.6 KiB
Python
65 lines
2.6 KiB
Python
from __future__ import annotations
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from pathlib import Path
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import numpy as np, h5py
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from sfm.database import SeismoDb
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from sfm.waveform_store import WaveformStore
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from scripts.backfill_event_shape import backfill_shape
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from minimateplus.models import Event, Timestamp, PeakValues
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_FIX = Path(__file__).parent / "fixtures/histogram-extension-re/events-5-21-26/K558LL8B.7I0W"
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def _event(waveform_key="0111abcd"):
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ev = Event(index=0)
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ev._waveform_key = bytes.fromhex(waveform_key)
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ev.timestamp = Timestamp(raw=b"", flag=0x10, year=2026, unknown_byte=0,
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month=6, day=25, hour=8, minute=50, second=0)
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ev.record_type = "Waveform"
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ev.peak_values = PeakValues(tran=0.075, vert=0.220, long=0.045,
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peak_vector_sum=0.231, micl=0.01)
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return ev
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def test_insert_stores_offset_from_record(tmp_path: Path):
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db = SeismoDb(tmp_path / "s.db")
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ev = _event()
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rec = {ev._waveform_key.hex(): {
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"filename": "F.CE0W", "filesize": 10,
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"shape_offset": 1, "shape_offset_axis": "Tran",
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"shape_offset_pre": 0.05, "shape_offset_spread": 0.001}}
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db.insert_events([ev], serial="BE1", waveform_records=rec)
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row = db.query_events(serial="BE1")[0]
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assert row["shape_offset"] == 1
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assert row["shape_offset_axis"] == "Tran"
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assert abs(row["shape_offset_pre"] - 0.05) < 1e-6
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assert abs(row["shape_offset_spread"] - 0.001) < 1e-6
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def test_save_imported_bw_attaches_offset(tmp_path: Path):
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store = WaveformStore(tmp_path / "waveforms")
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ev, rec = store.save_imported_bw(_FIX.read_bytes(), source_path=_FIX, serial_hint="BE9558")
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assert rec["shape_offset"] in (0, 1)
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assert rec["shape_offset_axis"] in ("Tran", "Vert", "Long")
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assert "shape_offset_pre" in rec and "shape_offset_spread" in rec
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def test_backfill_updates_offset(tmp_path: Path):
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db = SeismoDb(tmp_path / "s.db")
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store = WaveformStore(tmp_path / "waveforms")
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ev = Event(index=0); ev._waveform_key = bytes.fromhex("0111abcd")
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db.insert_events([ev], serial="BE1",
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waveform_records={ev._waveform_key.hex(): {"filename": "F.CE0W", "filesize": 10}})
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p = store.hdf5_path_for("BE1", "F.CE0W")
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with h5py.File(p, "w") as f:
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g = f.create_group("samples")
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g.create_dataset("Tran", data=np.full(300, 0.05, "float32"))
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g.create_dataset("Vert", data=np.zeros(300, "float32"))
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g.create_dataset("Long", data=np.zeros(300, "float32"))
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f.attrs["pretrig_samples"] = 50
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backfill_shape(db, store)
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row = db.query_events(serial="BE1")[0]
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assert row["shape_offset"] == 1
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assert row["shape_offset_axis"] == "Tran"
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