Previously the .TXT was parsed into the sidecar's bw_report projection
and then discarded at ingest time. Now save_imported_bw() writes it
to <store>/<serial>/<filename>_ASCII.TXT permanently.
Rationale: with BW Mail / Forwarding Agent being phased out of the
operator workflow, the XML/PDF/WMF those tools produce won't be
available — the binary + .TXT (created by BW ACH itself) are our
only authoritative inputs going forward. Keeping the raw .TXT
unlocks:
- Parser bug fixes can be applied RETROACTIVELY by re-parsing the
stored .TXT, instead of requiring a re-forward from the watcher
PC (which lost the .TXT after BW ACH cleanup).
- Audit trail of what BW actually sent us, for debugging.
- The five known parser-PPV-miss events will be re-parseable once
the regex fix lands (instead of staying broken indefinitely).
Storage cost: ~15 KB per event × 14k events = ~210 MB on the
existing prod corpus. Negligible.
Implementation:
- WaveformStore gains txt_path_for() + open_txt()
- save_imported_bw() writes the .TXT when bw_report_text is supplied
- sidecar source block records the txt_filename
- backfill_sidecars.py preserves txt_filename across regens
- New GET /db/events/{id}/ascii_report.txt endpoint serves it
- Returns 404 for events ingested before this change (no .TXT in
the store yet) — re-forward to populate
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Tighten the Series III / Series IV boundary so UI and storage dispatch
on a clean signal instead of sniffing filenames or applying magnitude
heuristics.
Phase 1 — events.device_family column ("series3" | "series4"):
self-applying migration with filename-based backfill of existing rows
(1,132 backfilled on prod 2026-05-20); plumbed through every import
path (BW endpoint, IDF endpoint, ACH server, BW CLI, sidecar
backfill); UPSERT preserves via COALESCE; UI dispatches on it.
Phase 2 — extract micromate/ package alongside minimateplus/:
native IdfEvent / IdfReport / IdfPeaks / IdfProjectInfo /
IdfSensorCheck (mic in dB(L), not pseudo-psi); moved
idf_ascii_report.py from sfm/ to micromate/; refactored
save_imported_idf to use IdfEvent and bridge to minimateplus.Event at
the SQL-insert boundary; idf_file.py stub for the future binary codec.
Phase 3 prep — docs/idf_protocol_reference.md captures the two
observed Thor binary header signatures (1,012 newer-firmware files vs
2 old files whose layout is byte-for-byte BW-STRT-compatible), file-size
hints suggesting int8 sample encoding, open questions in dependency
order, and a concrete first-session plan for cracking the codec.
Also rolled in the v0.18.1 hotfixes that motivated this work:
- idf_ascii_report parser now handles "<0.005 in/s" (below-threshold)
and "N/A" markers without leaving raw strings in numeric DB columns.
- sfm_webapp.html: defensive _ppvFmt / mic formatter so future
data-shape drift can't kill the whole events table render.
All 1,014 example-data sidecars round-trip through the new package.
See CHANGELOG.md for full notes.
The BW ACH ingest path was inserting every event with
record_type="Waveform" regardless of the actual type because
read_blastware_file() had `ev.record_type = "Waveform"` hardcoded, and
the live watcher-forward path parses files from a tmp path (suffix
".bw") that doesn't carry the original extension.
V10.72+ MiniMate Plus firmware encodes the event type as the last
character of the AB0T extension scheme (H=Histogram, W=Waveform,
M=Manual, E=Event, C=Combo). This change:
1. Adds derive_record_type_from_filename() public helper in
minimateplus/event_file_io.py
2. Uses it inside read_blastware_file() so direct callers (the
--dry-run path of scripts/import_bw.py, tests, ad-hoc scripts)
get correct types automatically
3. Overrides ev.record_type in WaveformStore.save_imported_bw()
using the ORIGINAL filename (source_path.name) — required
because the parser sees only the tmp file
Old S338 firmware (3-char extensions ending in `0`) and any
unrecognized suffix fall back to "Waveform".
Existing DB rows ingested before this fix are stuck with
record_type="Waveform" — a one-off SQL backfill would fix them
retroactively if desired. Terra-view's event modal also derives
client-side from the filename, so the UI already shows the correct
type for old events even without the backfill.
Version bumped to 0.16.1 in pyproject.toml, event_file_io.py
TOOL_VERSION, sfm/server.py FastAPI version, and CHANGELOG.md.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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.
The /db/import/blastware_file endpoint was bucketing every
forwarded event into serial='UNKNOWN' in the DB. WaveformStore
correctly decoded the serial from the BW filename and saved
files to <store>/<serial>/<filename> (e.g.
.../BE17353/S353L5KC.DR0H.h5), but the endpoint code called
db.insert_events(serial=_serial_from_event(ev)) — and
_serial_from_event was a stub that always returned None,
falling back to "UNKNOWN".
Effect on the user's prod server: 3,039 events forwarded across
24 distinct units, ALL inserted under serial='UNKNOWN'. The
on-disk waveform store + sidecars + HDF5s were fine, but the
SFM webapp's /db/units only showed the two original manually-
uploaded serials because every forwarded row had its serial
column zeroed to UNKNOWN.
Fix:
- WaveformStore.save_imported_bw() now surfaces the decoded
serial on the returned `rec` dict (rec["serial"]).
- The import endpoint uses rec["serial"] as the authoritative
fallback when the operator hasn't supplied a serial_hint query
parameter. Order of precedence:
query string `serial` → rec["serial"] → _serial_from_event(ev) → "UNKNOWN"
- Response payload now includes `serial` per file so the watcher
log lines (or any future caller) can see which unit each event
was attributed to.
Recovery for existing DB rows:
scripts/repair_unknown_serials.py walks the events table looking
for rows with serial='UNKNOWN' and re-attributes each one to the
serial decoded from blastware_filename. Updates the row in place
unless the target (serial, timestamp) already has a row, in which
case the UNKNOWN duplicate is deleted. Idempotent. Default
dry-run; pass --apply to commit.
Verified on the user's actual DB (dry-run):
UNKNOWN rows scanned: 3039
Updated to real serial: 2602
Deleted (duplicate of an
already-correct row): 437
Unresolved (bad filename): 0
After running the repair, /db/units will show all 24 units
correctly populated.
Blastware's ACH writes a per-event ASCII report (.TXT) alongside each
event binary, containing the rich derived per-channel fields BW
computes (PPV, ZC Freq, Time of Peak, Peak Acceleration, Peak
Displacement, Peak Vector Sum + time, sensor self-check Pass/Fail,
monitor-log timestamps). None of this lives in the BW binary itself.
When the watcher daemon forwards both files to /db/import/blastware_file
in one multipart POST, we now:
- Pair binaries with their .TXT partners by filename match
- Parse the report into a structured BwAsciiReport
- Land the rich fields in a new top-level `bw_report` block of the
sidecar JSON
- Overlay the report's peaks/project_info/timestamp/sample_rate/
record_time/total_samples/pretrig_samples onto the canonical
sidecar fields (the report values are device-authoritative; the
BW-binary STRT-derived values had bugs like reading the 0x46
record-type marker as rectime)
This unblocks the monthly-summary review workflow — events become
sortable/filterable by peak, location, project, etc. — without
depending on the still-undecoded waveform body codec.
### 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).
serversdown