feat(offset): DC-offset detector productionized into the shape pipeline

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

tests/test_offset_storage.py

@@ -0,0 +1,64 @@
+from __future__ import annotations
+from pathlib import Path
+
+import numpy as np, h5py
+
+from sfm.database import SeismoDb
+from sfm.waveform_store import WaveformStore
+from scripts.backfill_event_shape import backfill_shape
+from minimateplus.models import Event, Timestamp, PeakValues
+
+_FIX = Path(__file__).parent / "fixtures/histogram-extension-re/events-5-21-26/K558LL8B.7I0W"
+
+
+def _event(waveform_key="0111abcd"):
+    ev = Event(index=0)
+    ev._waveform_key = bytes.fromhex(waveform_key)
+    ev.timestamp = Timestamp(raw=b"", flag=0x10, year=2026, unknown_byte=0,
+                             month=6, day=25, hour=8, minute=50, second=0)
+    ev.record_type = "Waveform"
+    ev.peak_values = PeakValues(tran=0.075, vert=0.220, long=0.045,
+                                 peak_vector_sum=0.231, micl=0.01)
+    return ev
+
+
+def test_insert_stores_offset_from_record(tmp_path: Path):
+    db = SeismoDb(tmp_path / "s.db")
+    ev = _event()
+    rec = {ev._waveform_key.hex(): {
+        "filename": "F.CE0W", "filesize": 10,
+        "shape_offset": 1, "shape_offset_axis": "Tran",
+        "shape_offset_pre": 0.05, "shape_offset_spread": 0.001}}
+    db.insert_events([ev], serial="BE1", waveform_records=rec)
+    row = db.query_events(serial="BE1")[0]
+    assert row["shape_offset"] == 1
+    assert row["shape_offset_axis"] == "Tran"
+    assert abs(row["shape_offset_pre"] - 0.05) < 1e-6
+    assert abs(row["shape_offset_spread"] - 0.001) < 1e-6
+
+
+def test_save_imported_bw_attaches_offset(tmp_path: Path):
+    store = WaveformStore(tmp_path / "waveforms")
+    ev, rec = store.save_imported_bw(_FIX.read_bytes(), source_path=_FIX, serial_hint="BE9558")
+    assert rec["shape_offset"] in (0, 1)
+    assert rec["shape_offset_axis"] in ("Tran", "Vert", "Long")
+    assert "shape_offset_pre" in rec and "shape_offset_spread" in rec
+
+
+def test_backfill_updates_offset(tmp_path: Path):
+    db = SeismoDb(tmp_path / "s.db")
+    store = WaveformStore(tmp_path / "waveforms")
+    ev = Event(index=0); ev._waveform_key = bytes.fromhex("0111abcd")
+    db.insert_events([ev], serial="BE1",
+                     waveform_records={ev._waveform_key.hex(): {"filename": "F.CE0W", "filesize": 10}})
+    p = store.hdf5_path_for("BE1", "F.CE0W")
+    with h5py.File(p, "w") as f:
+        g = f.create_group("samples")
+        g.create_dataset("Tran", data=np.full(300, 0.05, "float32"))
+        g.create_dataset("Vert", data=np.zeros(300, "float32"))
+        g.create_dataset("Long", data=np.zeros(300, "float32"))
+        f.attrs["pretrig_samples"] = 50
+    backfill_shape(db, store)
+    row = db.query_events(serial="BE1")[0]
+    assert row["shape_offset"] == 1
+    assert row["shape_offset_axis"] == "Tran"