A reason records *why* an event is a false trigger. It is optional (plain
FT flags still record no reason) and is a subtype of the FT flag: setting a
reason implies false_trigger=1, and the reason is cleared whenever FT ends
up 0 (confirm-real, clear-FT, set_false_trigger(false)). Twin propagation
carries the reason to the histogram/waveform twin alongside the FT flag.
New nullable `false_trigger_reason TEXT` column (schema + _migrate ADD
COLUMN only — not the Migration-1 rebuild). 7 tests.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01YDXjZCr4RqT2U3QvMDhgzf
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
A real trigger is recorded twice — as a triggered waveform (stamped at the
trigger instant) and inside the scheduled histogram whose interval contains it
(stamped at the 7am/7pm interval start). The two twins routinely differ by
HOURS, so the old ±5-minute window in find_twins silently missed them — which
broke review propagation (flagging one twin left its twin unflagged).
Twins are now matched by: same serial + identical peak_vector_sum + OPPOSITE
record type + the waveform's timestamp falling within the histogram's interval
(bounded by the next same-serial histogram). Matching keys off record timestamps
(not call-in/received times, which drift with field connectivity). window_seconds
is retained but ignored.
Rewrote test_find_twins + test_twin_propagation for the new contract (incl. the
75-min-apart UM12947 case, cross-type exclusion, containing-interval selection,
open-ended latest interval). Full suite: 264 passed; the 16 failures are
pre-existing (missing gitignored fixtures + a v0.26.0 codec case), unchanged
from baseline.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01YDXjZCr4RqT2U3QvMDhgzf
set_false_trigger now clears reviewed_real when flagging false_trigger=True
(mirrors update_event_review's exclusivity), and the quick
PATCH /db/events/{id}/false_trigger endpoint now calls
propagate_review_to_twins after the flag write, matching the sidecar PATCH
path's try/except-with-log.warning pattern. Previously the quick path could
leave both flags set and never touched twins.
Also corrects the v0.25.0 CHANGELOG bullet (exclusivity was not actually
enforced on the quick path until this commit) and adds a caveat comment on
find_twins about rare clamped/saturated-PVS false-positive twin matches.
- Created a comprehensive runbook (`wedged_unit_recovery.md`) detailing the recovery process for units stuck in a call-home loop, including symptoms, recovery steps, and explanations of the failure mode.
- Added `blind_stop.sh` script to send stop-monitoring commands in a tight loop for unresponsive devices.
- Introduced `rescue_device.sh` script to disable Auto Call Home and erase events from a busy device.
- Implemented `slow_drip.sh` script to send stop-monitoring frames at a slow rate to prevent UART overrun.
- Developed `spam_stop.sh` script to rapidly send stop-monitoring commands to a device.
- Created `watch_unit.sh` script for passive monitoring of device reachability, logging results over time.
Two compounding bugs caused forwarded events to land in the DB with
broken-codec peak values (~10 in/s saturation on every channel) and
no project info, even when the watcher correctly paired a BW ASCII
report with the binary.
Bug 1: save_imported_bw built the sidecar JSON with the report's
authoritative peak / project values via event_to_sidecar_dict(
bw_report=...), but never overlaid those onto the in-memory Event
that flows to db.insert_events(). So the DB row got peak_values
from read_blastware_file()._peaks_from_samples() — which runs the
still-undecoded waveform body codec assuming raw int16 LE and
produces ±32K-shaped noise (= ±10 in/s at Normal range) regardless
of the actual signal. The sidecar JSON had the truth but the DB
columns (which the webapp queries for fast filter/sort) lied.
Bug 2: insert_events' IntegrityError handler only refreshed the
filename/filesize/a5_pickle/sidecar columns when a duplicate
(serial, timestamp) was seen. Peak values, project info,
sample_rate, record_type stayed locked in at whatever the FIRST
insert wrote. So even after Bug 1 was fixed, the historical
events in the DB (already inserted with broken-codec peaks) would
never get their values corrected, because a re-forward would just
hit IntegrityError and skip the field refresh.
Fix 1 (minimateplus/event_file_io.py + sfm/waveform_store.py):
- New apply_report_to_event(event, report) helper folds the BW
report's device-authoritative fields onto the Event in-place:
per-channel PPV, peak vector sum, mic PSPL→psi, project /
client / operator / sensor_location, sample_rate, record_time.
- save_imported_bw() calls the helper right after parsing the
report. The Event that flows to insert_events() now carries
correct values.
Fix 2 (sfm/database.py):
- insert_events()'s IntegrityError UPDATE now refreshes every
device-authoritative column from the new data: tran_ppv,
vert_ppv, long_ppv, peak_vector_sum, mic_ppv, project, client,
operator, sensor_location, sample_rate, record_type, plus
the existing filename/filesize/a5_pickle/sidecar fields.
- Preserves: id, waveform_key, session_id, created_at (immutable
/ FK fields), and false_trigger (operator review state).
End-to-end simulation verified:
- Step 1: import without report → DB has ±10 in/s peaks, no project
- Step 2: re-import WITH report → upsert path fires, DB now has
device-authoritative 0.005 in/s peaks + sensor_location
- Step 3: operator sets false_trigger=1, re-import again → flag
preserved, peaks remain correct
For the user's situation: deleting the watcher state file forces a
re-forward of all events. Each re-forward now pairs with its
_ASCII.TXT, applies the report onto the Event, and the upsert
refreshes the DB row. No DB nuke needed.
Full SFM suite: 62 passed, 44 skipped.
Previous query_units() only joined on ach_sessions, which is created
exclusively by the live ACH server. The BW-importer path
(/db/import/blastware_file → WaveformStore.save_imported_bw →
SeismoDb.insert_events) populates `events` but never creates an
ach_sessions row. Consequence: every serial whose events flowed in
through the series3-watcher forwarder was invisible to
/db/units (and therefore to the SFM webapp's fleet overview / units
list), even though the events were correctly populated in the
events table with proper serial attribution.
Rewrite query_units() to aggregate from BOTH tables and union the
serials:
- total_events / last_event_at come from `events` (every ingest path)
- last_session_at / total_monitor_entries / total_sessions
come from `ach_sessions` (ACH-only),
0 when no sessions exist for the serial
- last_seen = max(last_event_at, last_session_at)
Verified on the user's actual prod DB after the
repair_unknown_serials run: /db/units now returns 24 serials instead
of 2. All 3,257 watcher-forwarded events become visible in the
fleet overview without any further DB surgery.
### Added
- **Layered event storage architecture.** Each event now lands as four
files in the per-serial waveform store, each with a clear role:
- `<filename>` — the Blastware-readable binary (BW file). Untouched.
- `<filename>.a5.pkl` — the raw 5A frames (regenerative source).
- `<filename>.h5` — clean per-channel waveform arrays in physical
units (in/s for geo, psi for mic) plus event metadata (HDF5 with
gzip compression). This is the canonical format for downstream
analysis tools.
- `<filename>.sfm.json` — the modern review/metadata sidecar (peaks,
project, source provenance, review state, extensions).
SQLite (`seismo_relay.db`) is the searchable index over all four.
- **Plot-ready waveform JSON (`sfm.plot.v1`).** The `/device/event/{idx}/waveform`
and `/db/events/{id}/waveform.json` endpoints now return samples in
physical units with explicit time-axis metadata, peak markers, and
per-channel unit hints — no more guessing the ADC-to-velocity scale
client-side. The webapp waveform viewer was rewritten to consume
this shape.
- **In-app waveform viewer accuracy fix.** The standalone SFM webapp
viewer was scaling geophone amplitudes by `geoAdcScale / 32767`
(≈ 6.206 / 32767), where `geoAdcScale = 6.206053` is the device's
*in/s per V* hardware constant — not the ADC-counts-to-velocity
factor. This silently scaled every plot ~38% too low for Normal-range
geophones (the correct full-scale is 10.0 in/s, or 1.25 in/s for
Sensitive). Conversion is now done server-side using the geo_range
from compliance config; the client just plots.
- New `sfm/event_hdf5.py` module: `write_event_hdf5()`,
`read_event_hdf5()`, plus a plot-JSON helper.
- Backfill script extended to also emit `.h5` for existing events.
### Dependencies
- Added `h5py>=3.10` and `numpy>=1.24` for the HDF5 storage layer.
- Added `python-multipart>=0.0.7` (required by FastAPI for the
`/db/import/blastware_file` endpoint introduced in this release).
sfm/database.py (new)
- SeismoDb class: three tables keyed by unit serial number
- ach_sessions: one row per ACH call-home
- events: one row per triggered event, deduped by (serial, waveform_key)
- monitor_log: one row per monitoring interval, deduped by (serial, waveform_key)
- WAL mode, per-request connections, silent dedup via UNIQUE constraint
- Query helpers: query_events(), query_monitor_log(), get_sessions(), query_units()
- false_trigger flag on events for future review UI / report filtering
bridges/ach_server.py
- Import SeismoDb; create shared instance at startup pointed at
bridges/captures/seismo_relay.db
- After each call-home: insert_events() + insert_monitor_log() + insert_ach_session()
- DB failures logged as warnings, never abort the session
sfm/server.py
- Import SeismoDb; lazy singleton via _get_db()
- New DB read endpoints: GET /db/units, /db/events, /db/monitor_log, /db/sessions
- PATCH /db/events/{id}/false_trigger for manual review flagging
CLAUDE.md / CHANGELOG.md
- Document DB schema, SFM DB endpoints, architecture decision (unit-keyed only)
- Version bump to v0.11.0
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
serversdownandClaude Opus 4.8
claude