Merge pull request 'update to v0.21.1, thor data import successful' (#29) from dev into main

Reviewed-on: #29

.dockerignore

@@ -0,0 +1,28 @@
+.git
+.gitignore
+
+.venv
+venv
+env
+__pycache__
+*.pyc
+*.pyo
+*.pyd
+.pytest_cache
+.mypy_cache
+.ruff_cache
+
+*.db
+*.db-wal
+*.db-shm
+*.sqlite
+*.sqlite3
+
+sfm/data
+bridges/captures
+example-events
+captures
+logs
+
+.DS_Store
+Thumbs.db

.gitignore

@@ -1,6 +1,6 @@
 /bridges/captures/
 /example-events/
-
+/tests/fixtures/
 /manuals/
 
 # Python build artifacts

CHANGELOG.md

@@ -4,6 +4,336 @@ All notable changes to seismo-relay are documented here.
 
 ---
 
+## [Unreleased]
+
+---
+
+## v0.21.1 — 2026-06-01
+
+Bug fixes against v0.21.0 surfaced after the first prod redeploy.  Three
+production-visible symptoms — blank waveform charts on most Thor events,
+blank histogram charts on all Thor events, and a mic chart that
+auto-scaled against a dB(L) value treated as psi — all root-caused and
+fixed.
+
+### Fixed
+
+- **Dynamic IDFW body offset.**  The v0.21.0 codec hardcoded the body
+  at file offset `0x0f1f` based on the example corpus, but only ~52%
+  of production IDFW events use that offset; the rest sit at offsets
+  from `0x1033` up to `0x3082` depending on header padding.  At
+  `0x0f1f` the codec would find a coincidentally-matching `00 02 00`
+  magic, read the 2-byte Tran preamble, and return empty V/L/M
+  arrays — producing near-empty .h5 files and blank charts.
+  `micromate.idf_file._find_waveform_body_offset()` now scans every
+  `00 02 00` magic position past `0x0E00`, trial-decodes each one,
+  and picks the offset with the most samples.  Validated across 483
+  prod IDFW files: 0 preamble-only events (was ~50%), 355/483 fully
+  decode, 126/483 partial (BW codec walker-stops-early on loud
+  events — pre-existing limitation, samples reached are correct).
+
+- **IDFH histograms now render bar charts.**  Histograms previously
+  skipped the .h5 write because there are no per-sample arrays, but
+  the renderer drives the per-interval bar chart from .h5 channel
+  data + `bw_report.histogram.n_intervals`.  `save_imported_idf` now
+  synthesizes a 1-sample-per-interval array from the decoded
+  `IdfhInterval` peak counts and writes an .h5 so the existing
+  renderer works unchanged — each "sample" is the per-interval peak
+  ADC count, so the writer's `count × geo_fs/32768` conversion
+  yields the right bar height.
+
+- **Mic chart scaling on Thor events.**  `PeakValues.micl` (consumed
+  by the h5 writer's per-count mic scale factor) expects psi, but
+  the Thor bridge was stuffing the dB(L) value (~99.4) into it,
+  producing a per-count factor 5+ orders of magnitude too large and
+  a flat-looking mic chart.  Fixed by adding `IdfPeaks.mic_pspl_psi`
+  alongside `mic_pspl_dbl`; `read_idf_file()` computes it from
+  binary mic counts (`max(|MicL|) × 2.14e-6 psi/count`) for both
+  IDFW and IDFH paths; `save_imported_idf` merges it onto the typed
+  event after `IdfEvent.from_report`; the bridge feeds psi to
+  `PeakValues.micl` with a dB(L)→psi formula fallback when only the
+  dB(L) value is available.  dB(L) for the report header still
+  flows through `bw_report.mic.pspl_dbl` unchanged.
+
+### Operator
+
+After deploy, run `python scripts/backfill_thor_events.py` to refresh
+every existing Thor event's sidecar + .h5 with the corrected codec
+output.  The script auto-skips events already at the current
+`TOOL_VERSION`, so the bump from `0.21.0` → `0.21.1` is what triggers
+the refresh.
+
+---
+
+## v0.21.0 — 2026-05-29
+
+The "Thor / Series IV codec" release.  Two big pieces landed: (1) the IDF binary codec actually decodes now, both IDFW and IDFH, and (2) a Thor→BW adapter lets Thor events flow through the existing Series III Event Report PDF pipeline.  Combined effect: a Thor event ingested via `/db/import/idf_file` now lands in the DB with the same fidelity as a Blastware event, gets a per-event PDF on demand, and renders in Terra-View's modal chart with the same plotting code as a BW event.
+
+### Added — Thor IDF binary codec (`micromate/idf_file.read_idf_file`)
+
+- **IDFW (waveform)** — body sits at fixed file offset `0x0f1f`; reuses the verified `decode_waveform_v2()` walker from `minimateplus.waveform_codec`.  Sample fidelity is **87–99% byte-exact** against the ASCII-sidecar reference values on quiet events; loud events hit the same walker-stops-early limitation as the BW codec on `SP0/SS0/SV0`-style events.
+- **IDFH (histogram)** — dedicated segment-based decoder for the Thor histogram body format: `[len_be][0a 00 00 00][00 NN][05 3f]` framing plus N × 72-byte interval records (4 × 16-byte per-channel min/max/halfp).  **All 859 Thor IDFH corpus files decode**, totalling **181,071 intervals**; per-channel peaks match the sidecar within **~1.8% (ADC quantization)**.
+- **BW-aliased binary detection** — a small number of corpus files (e.g. `BE9439_*.IDFW/IDFH`) are actually Series III Blastware binaries that share the IDF filename convention by accident.  `read_idf_file()` detects them via their BW `STRT` signature and raises `NotImplementedError` pointing the caller at `read_blastware_file()` instead of trying to decode them as IDF.
+- Full field layouts in `docs/idf_protocol_reference.md`; supporting analysis scripts in `analysis_idf/` (decode validators, per-file detail dumps, corpus accuracy reports).
+
+### Added — Thor → BW report adapter (`micromate/idf_to_bw_report.py`)
+
+- **`build_bw_report_from_idf(report_dict, binary_md=, intervals=, is_histogram=)`** projects a parsed Thor `IdfReport` plus binary-extracted metadata plus decoded IDFH intervals into the `bw_report`-shaped dict that `sfm.report_pdf.gather_report_data` consumes.  No need to duplicate the renderer — Thor data is ~95% the same metric set as BW; the adapter handles the field-name mapping (`MicPSPL` → `pspl_dbl`, `>100` sentinel → `zc_freq_above_range`, free-form `Calibration : Nov 22, 2023 by Instantel` → `calibration_date` + `calibration_by`, etc.).
+- For IDFH events the adapter derives `histogram.interval_times` by stepping `IntervalSize` from `HistogramStartTime`, matching what the BW pipeline expects from a histogram-mode event.
+- **Wired into `WaveformStore.save_imported_idf`** — every Thor event ingested via `/db/import/idf_file` now gets a `bw_report` block in its sidecar in addition to the existing `extensions.idf_report` (the raw parsed Thor payload).  Falls back gracefully (PDF renders from DB-only fields) if the adapter raises — logged as a warning rather than failing the ingest.
+
+### Companion releases
+
+- **Terra-View v0.13.0** ships in parallel — closes Phase 1 of the SFM integration.  The shared event-detail modal now renders the SFM event story (Chart.js waveform/histogram chart, inline PDF preview, `.TXT` download, FT/reviewer/notes review form) without operators needing to bounce to the standalone SFM webapp on port 8200.  Uses only existing seismo-relay endpoints — no API changes here, just better consumption.
+
+### Migration / Operations
+
+No DB migration needed.  Existing Thor events already in the store don't automatically pick up the new `bw_report` block — they'd need a re-ingest (post the IDF binary + paired `.TXT` back to `/db/import/idf_file`) for the adapter to run.  Alternatively, run `scripts/backfill_sidecars.py --reparse-txt` after a small adapter change (the script currently only re-runs the BW ASCII parser; extending it to handle Thor would be a small follow-up).
+
+```bash
+cd /home/serversdown/terra-view
+docker compose build sfm && docker compose up -d sfm
+```
+
+The bumped `TOOL_VERSION = "0.21.0"` in `minimateplus/event_file_io.py` means any subsequent `backfill_sidecars.py --force` pass will re-write sidecars with the new version stamp; that's expected and harmless.
+
+---
+
+## v0.20.0 — 2026-05-28
+
+The "PDF + parser polish" release.  Closes out the Event-Report PDF iteration started in v0.17.x: histogram layouts now render correctly against BW reference PDFs, the ASCII parser handles the real-world edge cases production events were tripping over (OORANGE, `>100 Hz`, histogram timestamps), and the `.TXT` preservation rollout lets parser fixes be applied retroactively to ingested events.  Adds server-wide timezone support so operator-visible timestamps no longer drift into UTC.  Rolls up the substantial "pre-v0.20" body of work that had accumulated under `[Unreleased]` (PDF generation, histogram codec fix, histogram parser fields, `.TXT` preservation, backfill safety) — see the trailing "pre-v0.20.0 work" section below for the full list.
+
+### Added (2026-05-28)
+
+- **Server-wide display timezone via `TZ` env var.**  Both seismo-relay and terra-view now respect a `TZ` environment variable (default `America/New_York` on prod).  Affects server log timestamps, the PDF report renderer's UTC→local conversions on the "Created" footer line, matplotlib's datetime axes, and any other naïve-vs-aware datetime rendering.  DB columns (`created_at`, etc.) stay UTC regardless — this is a display-side fix, not a storage-side one.  Dockerfile now installs `tzdata` (required for the env var to take effect under `python:slim`).  Override per-deployment via the `TZ` line in `docker-compose.yml`.
+- **ZC Freq "above-range" handling — render `>100 Hz` instead of `—`.**  BW writes `">100 Hz"` literally when the zero-crossing algorithm sees a peak too fast to count (device cuts off at 100 Hz on V10.72).  Previously `_parse_number(">100")` returned None and the PDF stats table rendered `—`.  Now the parser mirrors the OORANGE pattern: stores 100.0 on `zc_freq_hz` and sets a new `zc_freq_above_range` flag.  Flag rides through the sidecar's `bw_report` block.  Renders as `>100` in the PDF (per-channel + mic block), as `· >100 Hz` inline on the event modal's Peaks section, and as a dedicated column on the event-browser stats table.  Verified against the real T190LD5Q.LK0W fixture from 2026-05-27 plus a synthetic test case.
+- **Per-channel ZC Freq surfaced in event modals.**  Neither the main webapp modal (`sfm_webapp.html`) nor the standalone event browser (`event_browser.html`) previously exposed ZC Freq.  Now both do — webapp shows it inline alongside PPV (`0.04500 in/s · 47 Hz`); event-browser gets a dedicated column on its per-channel stats table.  Required wiring a parallel sidecar fetch into the event-browser's `loadEvent()` (it was only fetching `waveform.json`).  Falls back to `—` for events without a preserved `.TXT` (pre-2026-05-27 ingests).
+- **`scripts/backfill_sidecars.py --reparse-txt` flag.**  Before this, the backfill script preserved the `bw_report` block from existing sidecars verbatim — so parser-side fixes (like the `>100 Hz` addition above) couldn't reach old events.  The new flag re-runs the current parser against the preserved `<serial>/<filename>_ASCII.TXT`, overwrites the bw_report block, and cascade-regenerates the sidecar.  Implies sidecar regeneration on every event (bypasses the sha/version skip).  No-op for events without a preserved .TXT (legacy ingests pre-2026-05-27 .TXT-preservation rollout).  Idempotent.  Run with `--skip-hdf5` to skip waveform regen — recommended when only the bw_report needs refreshing.  Validated end-to-end on prod: 9,999 events refreshed cleanly, ZC Freq + OORANGE flags now populated where the original .TXT had them.
+
+### Fixed (2026-05-28)
+
+- **Histogram PDFs no longer 500 on the missing `histogram_interval_size_s` attribute.**  The histogram-interval-times derivation block in `gather_report_data` referenced `rd.histogram_interval_size_s`, but the field was never declared on the `ReportData` dataclass nor read from the sidecar projection (it was inlined into `gather_report_data` without the seconds-numeric counterpart making it onto the dataclass).  Every histogram PDF render raised `AttributeError → 500`.  Waveform PDFs were unaffected.  Fix: add the field, read it from the projection's existing `bw_report.histogram.interval_size_s` key.
+- **Histogram PDF geo channels now share a single nice-quantized y-axis.**  Previously each geo subplot auto-scaled independently — Tran, Vert, and Long all showed different per-channel maxes, so bar heights weren't directly comparable across channels.  The footer "Amplitude Geo: X in/s/div" label was also computed as `max(first_geo_channel) / 5` with no LSB quantization, producing nonsense values like `0.003 in/s/div` when the geophone LSB is 0.005.  Fix: compute a single shared geo y-axis range from `max(Tran, Vert, Long)`, quantize the per-division step to BW's 1-2-5 sequence rounded to the 0.005 in/s LSB (0.005, 0.01, 0.025, 0.05, 0.1, 0.25, ...), apply the same `ylim` + ticks to all three subplots, and use that step for the footer label.  MicL stays on its own auto-scale (different units).  Matches BW's chart styling.
+
+### Docs (2026-05-28)
+
+- **Roadmap entry for a second undecoded histogram body sub-format.**  BE17353 (S353) events observed on 2026-05-28 use a histogram body where `byte[5] = 0x00` (looks like a valid block header by every prior signal) but the walker finds zero data blocks.  Different from the existing `byte[5] != 0` roadmap entry (T190 / O121).  Operationally identical impact — ingestion succeeds, DB peaks come from the bw_report overlay, only the chart is empty.  Sample events captured in the roadmap entry for future RE work.
+
+### Migration / Operations
+
+- **Re-parse existing events to pick up the new parser fields.**  Run on whichever box hosts the live waveform store:
+  ```bash
+  docker exec terra-view-sfm-1 python /app/scripts/backfill_sidecars.py \
+      --reparse-txt --skip-hdf5 --dry-run -v | tail
+  # Looks reasonable?  Run for real:
+  docker exec terra-view-sfm-1 python /app/scripts/backfill_sidecars.py \
+      --reparse-txt --skip-hdf5 -v | tee /tmp/reparse.log | tail -30
+  ```
+  Idempotent; safe to re-run.  Only touches sidecars on disk — no DB writes.
+- **terra-view docker-compose.yml**: add `TZ=America/New_York` (or your deployment's zone) to both the `terra-view` and `sfm` service `environment:` blocks.  Without this, server-rendered timestamps stay in UTC even on the rebuilt SFM image.
+
+### Pre-v0.20.0 work (rolled into this release)
+
+The bullets below accumulated under `[Unreleased]` between v0.19.0 and v0.20.0; kept here so the historical narrative isn't lost.
+
+#### Fixed
+
+- **bw_ascii_report parser now handles `OORANGE` saturation marker.**  BW writes `"OORANGE"` (truncation of "Out Of Range") in PPV / PVS / MicL PSPL fields when the underlying measurement exceeded the channel's full-scale.  Previously our `_parse_number()` returned None → DB ended up with NULL peaks for legitimate high-amplitude events.  Confirmed on real ASCII files pulled 2026-05-27 from the Windows watcher PC: T190LD5Q.LK0W (Vert saturated at Normal range 10 in/s), T438L713.RY0W (all three channels saturated at Sensitive range 1.25 in/s), K557L3YM.OE0W (Tran+Vert saturated + Mic PSPL OORANGE).  New behavior:
+   - Per-channel PPV: substitute `geo_range_ips` as a conservative lower bound + set `ppv_saturated` flag
+   - Peak Vector Sum: substitute `sqrt(3) * geo_range_ips` (the theoretical max when all 3 channels are simultaneously at full-scale) + `peak_vector_sum_saturated` flag
+   - MicL PSPL: substitute 140 dB(L) (conservative NL-43 max) + `pspl_saturated` flag
+   - Saturation flags are propagated into the sidecar's `bw_report` block for downstream UI rendering (`> 10 in/s` or similar)
+   - Five events on prod (T190 / T438 / K557 + 2 others matching the same fault pattern) will pick up correct DB peaks + saturation flags once re-forwarded
+- **bw_ascii_report parser handles `Peak Vector Sum TimeSum` typo'd label.**  Real BW output uses this misspelled label (Sum appended twice instead of "Peak Vector Sum Time").  Now accepted as an alias.  Confirmed against all three OORANGE example files — every one has the typo.
+
+#### Added
+
+- **Histogram per-interval aggregation in `waveform.json`.**  Histogram events now render with one bar per BW-reported interval (matching the Blastware printout) instead of ~200 bars per event (the raw codec output).  When the sidecar's `bw_report.histogram.n_intervals` is populated (events ingested with the new parser, see next bullet), the `/db/events/{id}/waveform.json` endpoint groups the codec samples into N intervals via max-per-group and returns the aggregated array.  `time_axis` gains `histogram_aggregated: true`, `n_intervals`, `interval_size_s`, and `interval_times` (HH:MM:SS strings).  Both the modal chart and the standalone event browser use those interval timestamps as x-axis labels when present.  Defensive: no-op for events ingested before the parser extension landed (their sidecars lack `histogram.n_intervals`) — those continue to render with raw codec output.
+- **`bw_ascii_report` parser now captures histogram-specific fields.**  Previously the parser dropped these fields silently (Roadmap item closed):
+   - `Histogram Start Time` / `Histogram Start Date` (combined into `histogram_start: datetime`)
+   - `Histogram Stop Time` / `Histogram Stop Date` (combined into `histogram_stop: datetime`)
+   - `Number of Intervals` (`histogram_n_intervals: int`)
+   - `Interval Size` ("1 minute" string + parsed seconds: `histogram_interval_size_str`, `histogram_interval_size_s`)
+   - `<Channel> Peak Time` + `<Channel> Peak Date` for histogram events (combined into `channel_peak_when: dict`; waveforms continue to use `time_of_peak_s` relative)
+   - `Peak Vector Sum Date` (combined with PVS Time into `peak_vector_sum_when: datetime`; clears the previous bogus `peak_vector_sum_time_s` parse that interpreted "22:33:52" as 22.0 seconds)
+   - All new fields land in the sidecar's `bw_report.histogram` block via `_bw_report_to_dict`.  Tested against synthetic K558LLB7.V20H-shaped input.
+- **Raw BW ASCII report (.TXT) preservation.**  `save_imported_bw` now writes the paired `_ASCII.TXT` to `<store>/<serial>/<filename>_ASCII.TXT` alongside the binary at ingest time.  Previously the .TXT was parsed into the sidecar's `bw_report` projection and then discarded — meaning parser bug fixes couldn't be applied retroactively without re-forwarding from the watcher PC.  Now the raw .TXT lives in the waveform store permanently (~15 KB per event; ~210 MB total for a 14k-event store; negligible).  Sidecar's `source.txt_filename` field records the saved path; backfill_sidecars preserves it across regens.  New `GET /db/events/{id}/ascii_report.txt` endpoint serves the raw .TXT for any event ingested after this change.  Events ingested before today still return 404 from that endpoint until re-forwarded.  Architectural rationale: with BW Mail / Forwarding Agent being phased out of the operator workflow, the XML/PDF/WMF that those tools produced are no longer available — the binary + .TXT (created by BW ACH itself) are our authoritative source for everything going forward.
+
+- **Event Report PDF generation** — `GET /db/events/{id}/report.pdf` returns a single-page letter-portrait PDF for any event with waveform data on disk.  Covers every field a Blastware Event Report includes: header metadata (date/time, trigger source, range, sample rate, project/client/operator/location, serial+firmware, battery, calibration, file name), microphone block (PSPL in dB(L) + psi, ZC freq, channel test), per-channel stats table (rows differ for waveform vs histogram), Peak Vector Sum, and the 4-channel plot.  Iterated against real Blastware reference PDFs (uploaded to `example-events/pdfsnstuff/`):
+   - **Waveform layout**: header shows Date/Time, Trigger Source, Range, Sample Rate; stats table has PPV / ZC Freq / Time (Rel. to Trig) / Peak Accel / Peak Disp / Sensor Check; bottom plot is 4-channel line waveform (MicL top → Tran bottom), shared time axis in seconds, dashed trigger line + triangle marker at t=0, symmetric Y on geo channels, zero-anchored on mic, "0.0" baseline label on right per BW convention; footer shows `Time X sec/div   Amplitude Geo: Y in/s/div   Mic: 0.001 psi(L)/div` and the trigger window `▶━━◀` marker.  USBM RI8507/OSMRE compliance chart placeholder upper-right.
+   - **Histogram layout**: header shows Start / Finish / Intervals At Size / Range / Sample Rate (no Trigger Source — histograms aren't triggered); NO USBM chart; stats table has PPV / ZC Freq / Date / Time / Sensor Check; bottom plot is per-interval bar chart, Y-axis 0-to-peak (never negative), 0.0 baseline at the bottom; footer shows `Time INTERVAL_SIZE /div   Amplitude Geo: Y in/s/div   Mic: 0.001 psi(L)/div`.
+   - Backed by matplotlib (vector PDF, no headless-browser dep).  Adds matplotlib>=3.8 to deps.
+   - **Known gap**: histogram codec returns per-block granularity (~200 bars for a 4-interval event) instead of BW's per-interval aggregation.  Visual difference vs BW's 4-bar display.  XML-driven data source (parsing the structured `_XML.XML` files BW also exports) is the planned fix; that route also resolves the bw_ascii_report PPV-miss bug.
+   - **Stubbed**: USBM RI8507 / OSMRE compliance chart curves (separate work item; requires coding the regulatory piecewise functions).
+- **"Download PDF" button** in the event modal's footer — triggers the new endpoint; opens in a new tab so the browser handles save-or-display + surfaces any 404 / server errors visibly.
+
+- **SFM webapp now opens to Database view by default** and the History table is fully interactive.  Click any column header to sort ascending / descending (timestamp, serial, per-channel PPV, PVS, mic dB(L), project, client, record type, key — all sortable).  Click any event row to open the event modal, which now renders a **4-channel waveform plot inline** (MicL / Long / Vert / Tran stacked, Instantel-printout order) alongside the existing sidecar review fields.  Headers are sticky so the columns stay visible while scrolling long event lists.  No more "where is the viewer" — pick a unit from the filter dropdown, scan the table, click the event, see the waveform.
+- **Stored-event browser** — new standalone HTML page at `GET /events` (`sfm/event_browser.html`).  Pick a serial from the unit dropdown, scroll through that unit's events (newest-first), click any event to render its decoded waveform via the existing `/db/events/{id}/waveform.json` endpoint.  Dark-themed Chart.js viewer, channels stacked vertically (MicL / Long / Vert / Tran — Instantel printout order, designed PDF-export-ready), trigger line at t=0, peak labels, search/filter, false-trigger flag honored.  Companion to the existing live-device viewer at `/waveform`; the two routes are now clearly delineated in their docstrings.  The webapp's inline plot at `/` is the primary path; `/events` remains a useful diagnostic when you want just a viewer.
+- **Histogram body codec — uint8 peak count fix.**  Per-channel peak fields at `block[6]/[10]/[14]/[18]` are `uint8`, not `uint16 LE` spanning `block[6:8]` etc.  The original interpretation was byte-exact on the N844 fixture corpus only because every annotation byte (`block[7]/[11]/[15]/[19]`) in those fixtures was zero.  On non-N844 events with non-zero annotation bytes (observed across BE9558 Tran-drift and BE18003 Histogram+Continuous units), the old interpretation produced peaks up to 268 in/s per channel and 35× inflated PVS sums when first deployed to prod (rolled back same day; properly fixed in this release).  Cross-correlated against BW's per-interval ASCII export on K558 / T003 / N599 / N844 corpora — 100% byte-exact on T/V/L, 99%+ on M (sub-precision rounding).  Annotation byte preserved on each record as `record["annotations"]` for future RE.  Verified against ~3,500 blocks across 5 in-repo fixtures + a synthetic K558 interval-12 regression block.
+- **`apply_bw_report_dict_to_event` helper** in `minimateplus.event_file_io`.  Mirror of `apply_report_to_event` for the projected sidecar dict shape — used by the backfill path, which has the preserved `bw_report` block but not the original `.TXT` file.  BW's reported peaks (and `sample_rate` / `record_time`) now win over codec output during `--force` backfill, matching ingest-path behavior.
+- **`scripts/check_bw_report_preservation.py`** — two-step snapshot/diff tool to verify that `backfill_sidecars.py` doesn't wipe the `bw_report` block from existing sidecars.  Classifies every sidecar as PRESERVED / CHANGED / WIPED / STILL_MISSING / NEW / ADDED / REMOVED.  Exit code 1 if any WIPED or CHANGED entries are found, so it can gate a CI step or deploy script.
+
+#### Fixed
+
+- **`scripts/backfill_sidecars.py` no longer wipes `bw_report`.**  Before this fix, `event_to_sidecar_dict` silently dropped the preserved `bw_report` block during every backfill, since the function only emits a `bw_report` when called with a live `BwAsciiReport` dataclass (which the backfill doesn't have — only the projected sidecar dict).  Now we read the existing sidecar's `bw_report` and overlay it onto the regenerated sidecar, alongside the existing `review` and `extensions` preservation.
+- **`scripts/backfill_sidecars.py --force` no longer overwrites BW-overlaid DB peaks with codec output.**  The backfill path now calls `apply_bw_report_dict_to_event` before the DB upsert, mirroring what the ingest path does (`/db/import/blastware_file` parses the `.TXT` into a `BwAsciiReport`, calls `apply_report_to_event`, then upserts).  Without this, events where the codec doesn't fully decode (waveform walker edge cases on SP0/SS0/SV0-style events, histogram `byte[5]!=0` sub-format) ended up with PVS=0 in the DB after a `--force` backfill; bit on prod 2026-05-22, rolled back the same day.
+- **Thor IDF files no longer attempted as BW events in backfill.**  `scripts/backfill_sidecars.py` now filters out `.IDFW` / `.IDFH` files in `_looks_like_event_file()`; they share the `.X0W` / `.X0H` suffix shape but use a separate ingest path (`WaveformStore.save_imported_idf`) and aren't decodable by `event_file_io.read_blastware_file`.
+
+#### Docs
+
+- **CLAUDE.md** — added a three-tier conceptual architecture model (SFM / SDM / shared codec library) near the top of the file, with a placement rule for where new code goes.  Documents that what is conceptually SDM (database, waveform store, ingest, `/db/*` endpoints) still lives under `sfm/` for historical reasons; rename deferred until the codebase is quiet enough for a clean refactor.
+- **README.md** — added a "Strategic direction" lead-in to the Roadmap that frames seismo-relay as a suite of cooperating components (not a single app), and an explicit "Terra-View ↔ SFM device control" roadmap section with a concrete implementation checklist (auth as hard prerequisite, embedded live-monitor view, action history, Series IV live-device support).
+- **`docs/histogram_codec_re_status.md`** updated with the uint8 retraction and the annotation-byte status.
+- Three known issues recorded in the Roadmap that were discovered during prod validation: (1) `bw_ascii_report` parser misses PPV / `vector_sum` on some `.TXT` formats (5 events on prod); (2) NULL-timestamp duplicate-row dedup needed (2 events on prod); (3) histogram body sub-format with `byte[5] != 0` not yet decoded (~3 events on prod with empty `.h5` plots).
+
+---
+
+## v0.19.0 — 2026-05-20
+
+The "device-family separation" release.  Tightens the boundary between Series III (MiniMate Plus / Blastware) and Series IV (Micromate / Thor) so the UI and storage layer dispatch deterministically by family instead of sniffing filename extensions or magnitude heuristics.
+
+### Added — Phase 1: `device_family` column on `events`
+
+- **`events.device_family TEXT`** — new column carrying `"series3"` or `"series4"`.  Populated by every import path (`/db/import/blastware_file`, `/db/import/idf_file`, ACH server, BW CLI, sidecar backfill script).  Returned through `/db/events` since `query_events` uses `SELECT *`.
+- **Self-applying migration** — on startup, `ALTER TABLE ... ADD COLUMN` lands the new column; a follow-on `UPDATE` backfills existing rows from the binary filename extension (`.IDFH`/`.IDFW` → `series4`, everything else → `series3`).  No manual SQL needed.
+- **UPSERT preserves family** — re-imports without an explicit family don't blank existing rows (`COALESCE(?, device_family)`).
+- **UI dispatches on the column** — `sfm_webapp.html` events-table mic formatter now branches on `ev.device_family === 'series4'` (Thor stores native dB(L); BW stores psi).  Modal uses `source.kind === 'idf-import'` from the sidecar (sidecars don't carry the DB column).  Source-files section labels changed from "BW filename / BW filesize / BW sha256" to format-neutral "Event file / File size / File sha256".
+
+### Added — Phase 2: `micromate/` package alongside `minimateplus/`
+
+- **`micromate/`** — new sibling package for the Thor / Micromate Series IV device.  Currently scoped to offline-file ingest; live-device support (TCP transport, framing, protocol, client) will land here when reverse-engineering happens.
+  - `micromate/idf_ascii_report.py` — moved from `sfm/idf_ascii_report.py`.  No behaviour change.
+  - `micromate/models.py` — typed `IdfReport`, `IdfEvent`, `IdfPeaks`, `IdfProjectInfo`, `IdfSensorCheck`.  Stores mic in native `mic_pspl_dbl` (dB(L)) instead of the pseudo-psi shoehorn that the BW-shaped model uses.  `IdfEvent.from_report()` constructs from a parsed dict + filename; `IdfEvent.to_minimateplus_event(waveform_key)` bridges to the existing sidecar / DB-insert machinery.
+  - `micromate/idf_file.py` — placeholder for the binary codec (`.IDFH` / `.IDFW`).  Stubbed `read_idf_file()` raises `NotImplementedError`; documents the planned reverse-engineering path.
+- **`WaveformStore.save_imported_idf`** refactored to use the native `IdfEvent` and bridge at the SQL-insert boundary.  Cleaner separation of "parse a Thor event" (in `micromate/`) from "store it on disk + write a sidecar" (in `sfm/waveform_store.py`).
+- **Tests** — `tests/test_idf_ascii_report.py` imports updated to `micromate.idf_ascii_report`.  All 1,014 example-data sidecars round-trip through `IdfEvent.from_report()` without errors.
+
+### Companion releases
+
+- **thor-watcher** unaffected — it talks to the relay over HTTP only.  No version bump needed.
+- **terra-view** unaffected today; can use `device_family` in its event-detail rendering when convenient.
+
+---
+
+## v0.18.0 — 2026-05-19
+
+The "Thor / Series IV ingest adapter" release.  Seismo-relay can now accept event files from Instantel Micromate Series IV (Thor) units alongside the existing MiniMate Plus (Series III) Blastware pipeline.
+
+### Added — Thor (Series IV) IDF ingest
+
+- **`POST /db/import/idf_file`** (`sfm/server.py`) — multipart upload endpoint for `.IDFH` (histogram) and `.IDFW` (waveform) event files plus their `.IDFH.txt` / `.IDFW.txt` ASCII sidecars.  Mirrors the shape of `/db/import/blastware_file`: pairing by filename, optional `serial` query hint, per-file outcome reporting.
+- **`sfm/idf_ascii_report.py`** — parser for Thor's TXT sidecars (verified against 1,014 real-world samples).  Extracts device-authoritative PPV, ZC Freq, Peak Vector Sum, Mic PSPL, calibration date, firmware version, sensor self-check results, and project/client/operator strings.
+- **`WaveformStore.save_imported_idf()`** (`sfm/waveform_store.py`) — stores Thor binaries verbatim in `<root>/<serial>/<filename>`, writes a `.sfm.json` sidecar with `source.kind = "idf-import"` and the full parsed report under `extensions.idf_report`.  Reuses the existing `events` table — Thor events dedupe on (serial, timestamp) and surface in `/db/events` alongside BW events.
+- **`tests/test_idf_ascii_report.py`** — parser tests against the `thor-watcher/example-data/` corpus.
+
+### Changed
+
+- `event_to_sidecar_dict()` (`minimateplus/event_file_io.py`) allow-list for `source_kind` now includes `"idf-import"` so the existing sidecar machinery can carry Thor imports.
+- Bumped `pyproject.toml` version to `0.18.0`.
+
+### Companion release
+
+This release ships alongside **thor-watcher v0.3.0**, which adds the SFM forwarder that targets the new `/db/import/idf_file` endpoint.  Operators flip the switch in thor-watcher's new "SFM Forward" Settings tab; events POST to seismo-relay just like the series3-watcher BW forwarder does today.
+
+---
+
+## v0.17.0 — 2026-05-17
+
+The "field rescue + DB management" release.  Hardened against units that are stuck in a runaway call-home loop, and added an operator-facing path for purging bogus events that those same units dump into the DB before recovery.  All work in this release was driven by the BE9558H incident (full incident log + recovery procedure at `docs/runbooks/wedged_unit_recovery.md`).
+
+### Added — wedged-unit recovery toolkit
+
+A toolkit for breaking the call-home loop on a misbehaving unit whose firmware is too busy to keep up with normal request/response handshakes.  Tested in production against BE9558H (16 May 2026) — a unit with a stuck-triggered Long-axis geophone that had been call-homing the office BW ACH server every 30 seconds for hours.  Endpoints layered from "single attempt" to "siege mode" to suit different contention levels:
+
+- **`GET /device/events/storage_range`** — SUB 0x06 probe.  POLL + one read; ~2s.  Returns first/last event keys and an `is_empty` flag.  Use to triage whether a unit has stored events without invoking the slow `count_events()` 1E/1F chain (which choked on BE9558H's corrupted event chain).
+- **`GET /device/events/index`** — SUB 0x08 probe.  POLL + one read; ~2s.  Returns the lifetime event counter (does NOT decrement on erase — use `storage_range` for "right now" state).
+- **`POST /device/events/erase`** — full erase sequence `0xA3 → 0x1C → 0x06 → 0xA2` (confirmed 2026-04-11, see the protocol reference).  Resets event keys to `0x01110000`.  Caller's responsibility to disable ACH first if the underlying trigger condition will re-fill the buffer.
+- **`POST /device/rescue`** — one TCP session, short connect+recv timeouts: POLL → disable ACH (compliance config write) → erase events → close.  Designed for race-loop usage when the device is busy in another session.  503 on connect-refused, 502 on protocol failure, 200 on full sequence success.
+- **`POST /device/stop_monitoring_blind`** — fire-and-forget Stop Monitoring (SUB 0x97), TCP-only.  Dumps `SESSION_RESET + POLL_PROBE + SESSION_RESET + POLL_DATA + 0x97 × repeat` and closes without reading any S3 response.  The full POLL preamble is required — write commands without it are silently ignored by the device's protocol parser (false-positive surface area that bit the first version of this endpoint).  Use when the device's firmware can't keep up with full request/response but might process inbound bytes at its own pace.
+- **`POST /device/stop_monitoring_spam`** — server-side hammer loop, duration-bounded.  Open TCP → write the same blind payload → close → repeat as fast as possible until `duration_s` elapses.  Configurable `connect_timeout` (default 500ms) and `repeat` (frames per session).  Reports `sent_ok`, `connect_failed`, `write_failed`, `rate_attempts_per_s`.  Clamped to 5min duration.
+- **`POST /device/stop_monitoring_slow_drip`** — opposite of spam.  Open ONE TCP session, drip the wake handshake + stop frames at `interval_s` (default 3s) for `duration_s` (default 120s, max 10min).  Each drip is ~23 bytes — well under any UART FIFO size.  Opportunistically drains any inbound bytes the device sends back; `bytes_received > 0` in the response strongly suggests the device has started talking and the session is healthy.  **This is the endpoint that saved BE9558H.** Spam mode had been overrunning the device's UART FIFO; slow drip stayed under it.
+- **Six rescue scripts** under `scripts/` — thin bash wrappers around the endpoints, default `SFM_BASE_URL=http://localhost:8200` (direct, not via Terra-View proxy whose 60s timeout would cut off the longer endpoints):
+    - `rescue_device.sh` — race-loop wrapper for `/device/rescue`
+    - `blind_stop.sh` — race-loop wrapper for `/device/stop_monitoring_blind`
+    - `spam_stop.sh` — single-call burst hammer
+    - `slow_drip.sh` — single-call held-session drip
+    - `watch_unit.sh` — passive periodic reachability check (every N min, logs to file), useful for unattended overnight monitoring of a wedged unit
+- **`docs/runbooks/wedged_unit_recovery.md`** — symptoms, quick-reference recovery procedure, the modem-layer mechanism (Sierra Wireless serial-port mode-flipping is the real failure mode — not the device firmware), and a table of "why simpler approaches don't work" so the next incident skips the dead ends.
+
+### Added — operator event DB management
+
+Endpoints powering Terra-View's new `/admin/events` page (v0.12.0).  Designed for purging bogus events from a unit that's been forwarding them in bulk (e.g. a stuck-triggered seismograph dumping hundreds of junk events before it's recovered).
+
+- **`DELETE /db/events/{event_id}`** — hard-delete one event row.  Also unlinks the associated blastware binary (`.AB0*`), `.a5.pkl`, `.sfm.json` sidecar, and `.h5` clean-waveform files via the WaveformStore.  Returns the per-file removal status.  404 if the event doesn't exist.
+- **`POST /db/events/delete_bulk`** — filter-based or id-list-based bulk delete with safety rails:
+    - Filters (`serial`, `from_dt`, `to_dt`, `false_trigger`) combine with AND; same semantics as `GET /db/events`.  `ids` is an additional inclusion list.  Refuses to run with no filters (would wipe the whole table — raises 422).
+    - `confirm` must be `true` to actually delete.  Otherwise returns a dry-run summary (`status: "dry_run"`, `matched: N`, `sample_serials: [...]`).
+    - `max_rows` (default 10,000) caps how many rows can be deleted by-filter in one call.  If exceeded, returns `status: "too_many"` with a hint to narrow or raise the cap.  Bypassed when only `ids` is supplied.
+- **`_cleanup_event_files(row)`** helper in `sfm/server.py` — best-effort `unlink()` of all four sidecar paths derived from the row's `blastware_filename`.  Logged at WARN if a path exists but unlink fails; the DB row deletion still proceeds.
+- **`SeismoDb.delete_event(id)` and `SeismoDb.delete_events_bulk(...)`** in `sfm/database.py` — both return the deleted row dict(s) so callers can do file cleanup.  `delete_events_bulk` raises `ValueError` if no filters are supplied.
+
+### Changed
+
+- **Default protocol recv timeout dropped from 30s → 10s** in `_build_client()`.  The unit usually responds in well under a second over cellular; 10s leaves comfortable headroom for retransmits while failing reasonably fast when a unit is wedged.  The two endpoints that perform full 5A waveform downloads still pass `timeout=120.0` explicitly so multi-minute event transfers are unaffected.
+- **`_build_client()` now accepts an optional `connect_timeout`** (TCP-only) so rescue / race-loop endpoints can fail fast on busy modems without affecting the protocol-level recv timeout.
+
+### Fixed
+
+- **`GET /device/monitor/status` returned HTTP 500 + uncaught traceback when the device was unresponsive**.  The retry-on-`Exception` inner block let the second `client.poll()`'s `ProtocolError` propagate out of the handler.  Now wrapped in proper try/except — returns 502 with `{"detail": "Protocol error: No S3 frame received within 10.0s ..."}` on timeout, 502 on connection errors, 500 only for genuinely unexpected exceptions.
+
+### Migration
+
+No schema changes.  No data migration required.
+
+If you've been running a previous version against a wedged unit and accumulated bogus events, the new `/admin/events` page in Terra-View v0.12.0 (or direct `POST /db/events/delete_bulk` with `confirm: true`) is the cleanup tool.  Watcher state on the upstream DL2 PC does NOT need separate cleaning — the watcher's `sfm_forwarded.json` keys on file sha256 and won't re-forward the same files.
+
+### Pairing
+
+This release pairs with **Terra-View v0.12.0**, which adds the `/admin/events` UI that consumes the new bulk-delete endpoints, the bulk false-trigger flagging on `/unit/{id}`, and the field-deployment workflow that uses the same `series3-watcher` → SFM ingest path as before.
+
+---
+
+## v0.16.1 — 2026-05-14
+
+### Fixed
+
+- **`record_type` always "Waveform" for forwarded events.**  `read_blastware_file()` hardcoded `ev.record_type = "Waveform"` regardless of the file's actual type.  The watcher-forward pipeline (the main BW ACH ingest path) compounds this by parsing files from a tmp path with a `.bw` suffix, so even a filename-based fallback inside the parser still wouldn't see the original extension.  Now:
+
+  1. New `derive_record_type_from_filename(filename)` helper in `minimateplus/event_file_io.py` derives the type from the LAST character of the filename's extension (V10.72+ AB0T scheme: `H`=Histogram, `W`=Waveform, `M`=Manual, `E`=Event, `C`=Combo).  Falls back to `"Waveform"` for old S338 firmware (3-char extensions ending in `0`) and any unrecognized suffix.
+  2. `read_blastware_file()` now calls the helper with its `path.name` so direct callers (the `--dry-run` path in `scripts/import_bw.py`, tests, ad-hoc scripts) get the right value automatically.
+  3. `WaveformStore.save_imported_bw()` overrides `ev.record_type` with the **original** filename's derived type after parsing (the tmp file inside the parser doesn't carry the original extension).  This is the path the live watcher-forwarder hits, so the DB column now reflects the actual event type going forward.
+
+  Events ingested before this fix are stuck with `record_type="Waveform"` in the DB; a one-off backfill (`UPDATE events SET record_type = ... WHERE blastware_filename LIKE '%H'`) 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.
+
+---
+
+## v0.16.0 — 2026-05-11
+
+The "BW ACH ingestion" release.  When paired with **series3-watcher v1.5.0**, every Blastware ACH event (binary + `_ASCII.TXT` report) lands in SeismoDb with device-authoritative peaks, project metadata, sensor self-check, and ZC/Time-of-Peak data — without depending on the still-undecoded waveform body codec.  This is the end-to-end product win discussed in v0.15.0's "out of scope" notes: sortable / filterable monthly-summary review of historical events, populated from the BW ASCII export rather than re-decoded samples.
+
+### Added — `/db/import/blastware_file` rich-metadata ingestion
+
+- **Paired BW ASCII reports.**  The endpoint now accepts the `<binary>_<ext>_ASCII.TXT` partner BW writes alongside each event.  Pairing handles both filename conventions: ACH (`M529LK44_AB0_ASCII.TXT`) and manual-export (`M529LK44.AB0.TXT`).  When both present, ACH wins.
+- **`minimateplus/bw_ascii_report.py`** (new) — parser + `BwAsciiReport` dataclass for BW's per-event ASCII export.  Handles every field BW writes: identity, trigger config, per-channel PPV / ZC Freq / Time of Peak / Peak Acceleration / Peak Displacement, Peak Vector Sum + time, MicL PSPL / Time of Peak / ZC Freq, sensor self-check (Test Freq / Test Ratio / Test Amplitude / Pass-Fail per channel), monitor log, PC SW version.
+- **Position-based user-notes parsing.**  BW's Compliance Setup → Notes tab labels (Project / Client / User Name / Seis Loc) are *operator-editable* — an operator can rename them to "Building:", "Site Address:", etc.  Rather than maintain a label-spelling map, the parser uses positional matching between the `Units :` and `Geo Range :` anchors in the ASCII output.  The four canonical slots (project / client / operator / sensor_location) populate by position regardless of label; the original labels BW wrote are preserved in `report.user_note_labels` for downstream UIs (terra-view) to display verbatim.
+- **`bw_report` sidecar block.**  New top-level block in `.sfm.json` carrying the parsed BW report (trigger config, peaks with per-channel stats, mic block, sensor_check, monitor_log, PC SW version, operator-label labels).
+- **`apply_report_to_event(event, report)` helper.**  Overlays the report's device-authoritative fields onto an in-memory `Event` so `SeismoDb.insert_events()` writes correct DB columns instead of the broken-codec values from `_peaks_from_samples()`.
+
+### Fixed — three compounding bugs that left forwarded events with garbage data
+
+- **Import endpoint inserted under `serial="UNKNOWN"`.**  `_serial_from_event(ev)` was a stub that always returned `None`; the BW-filename-decoded serial that `WaveformStore` had already resolved was never surfaced to `db.insert_events`.  Now uses `rec["serial"]` as the authoritative source.  `scripts/repair_unknown_serials.py` repairs existing DB rows.
+- **`/db/units` ignored events from non-ACH ingest paths.**  `query_units()` only aggregated from `ach_sessions` — events that arrived via `save_imported_bw()` were never visible in the fleet overview even though they populated `events` correctly.  Now unions both tables.
+- **Re-imports left stale DB rows.**  The `IntegrityError` handler in `insert_events()` only refreshed filename / sidecar columns when a duplicate `(serial, timestamp)` arrived.  Peak values, project info, sample_rate, record_type stayed locked at whatever the first (often broken-codec) insert wrote.  Now the upsert path refreshes every device-authoritative column from the new data while preserving `false_trigger` and immutable fields (`id`, `created_at`).
+- **Server-side TXT pairing only knew the legacy convention.**  The endpoint stripped `.TXT` and looked up `<binary>` — which works for manual exports (`<binary>.TXT`) but not BW ACH (`<stem>_<ext>_ASCII.TXT`).  Reports were arriving in the multipart but silently dropped.  Now recognises both conventions and registers each report under all matching binary names.
+
+### Migration
+
+For existing deployments where events were forwarded by an older watcher (broken pairing) or imported during the UNKNOWN-bucketing window:
+
+1. `python -m scripts.repair_unknown_serials --db <path> --apply` to re-attribute `serial="UNKNOWN"` rows.
+2. Delete the watcher's `sfm_forwarded.json` state file and let it re-forward.  The server's upsert path will refresh the existing DB rows with the report's authoritative values.
+3. Operator review state (`false_trigger`, sidecar `review` block) is preserved across the re-import.
+
 ## v0.15.0 — 2026-05-07
 
 ### Added

CLAUDE.md

@@ -2,12 +2,112 @@
 
 Ground-up Python replacement for **Blastware**, Instantel's Windows-only software for
 managing MiniMate Plus seismographs. Connects over direct RS-232 or cellular modem
-(Sierra Wireless RV50 / RV55). Current version: **v0.14.3**.
+(Sierra Wireless RV50 / RV55). Current version: **v0.21.0**.
 
 When new information about the protocol is discovered, please update the instantel_protocol_reference.md with the findings in addition to this document
 
 ---
 
+## Architecture: three-tier conceptual model
+
+seismo-relay is a **suite of cooperating components**, not a single app.
+The three tiers below are the canonical mental model — the current
+directory layout doesn't fully reflect them yet (some of what is
+conceptually SDM lives under `sfm/` today), but new code should be
+placed and named according to this model.
+
+### 1. SFM — the device-side (active connection to physical units)
+
+Replaces Blastware's *talk-to-the-meter* role.  Lives where a connection
+to a physical seismograph is open.
+
+In scope:
+- `minimateplus/{transport,framing,protocol,client}.py` — wire protocol
+- `seismo_lab.py` — diagnostic GUI (a thick client for SFM)
+- The `/device/*` HTTP endpoints in `sfm/server.py` —
+  `/device/info`, `/device/events`, `/device/monitor/*`, `/device/call_home`,
+  etc.  Anything that opens a connection at the moment of the request.
+- Future: a Thor / Micromate live client (mirror `minimateplus/`)
+- Future: a control surface Terra-View can launch into — see the
+  README's Roadmap.
+
+Does NOT own a database.  Outputs `Event` objects.  Has a "spun up when
+needed" runtime profile rather than "always on".
+
+### 2. SDM — the data-side (storage, ingest, and serving)
+
+The new name for the receiving-and-storing role.  Originally called SFM
+because the FastAPI service started life as a thin device proxy, but
+the actual role has migrated heavily toward data management.  **For now
+the directory remains `sfm/`** — renaming requires touching ~30-50
+files in seismo-relay + ~10-15 in terra-view + a Docker volume
+migration; deferred until the codebase is quiet enough to do it as a
+clean refactor.
+
+In scope:
+- `sfm/database.py` (`SeismoDb`)
+- `sfm/waveform_store.py`, `sfm/event_hdf5.py`
+- The `/db/*` HTTP endpoints — `events`, `units`, `monitor_log`,
+  `sessions`, `false_trigger` mutations
+- The `/db/import/*` ingest endpoints — `blastware_file` (series3),
+  `idf_file` (series4); anything that receives events FROM somewhere
+- `scripts/backfill_sidecars.py`, `scripts/check_bw_report_preservation.py`,
+  and similar data-maintenance tools
+- The `.sfm.json` sidecars and `.h5` files in the waveform store
+- The shape that Terra-View consumes (Terra-View should never need to
+  reach into SFM/device-side endpoints to populate its UI)
+
+Always-on, scaled for storage/serving, has the DB and waveform store.
+
+### 3. Codec library — pure data interpretation (used by both sides)
+
+Neither SFM nor SDM — a shared library both depend on.
+
+In scope:
+- `minimateplus/{waveform_codec,histogram_codec,event_file_io,bw_ascii_report,blastware_file}.py`
+- `micromate/{idf_ascii_report,idf_file}.py`
+
+These modules take bytes (off the wire on the SFM side, or from a
+forwarded file on the SDM side) and return `Event` objects.  They
+should not import from `sfm/`, must not touch a DB, and have no I/O
+beyond reading files passed as arguments.  Keep them pure — both
+tiers can then depend on them without circularity.
+
+#### Thor IDF binary codec (2026-05-28)
+
+`micromate/idf_file.read_idf_file()` decodes both Thor IDFW
+(waveform) and IDFH (histogram) binaries.
+
+- **IDFW** reuses `decode_waveform_v2()` on the body at fixed file
+  offset `0x0f1f`.  Sample fidelity is 87–99% byte-exact on quiet
+  events; loud events hit the BW codec's known walker-stops-early
+  limitation.
+- **IDFH** has its own segment-based decoder: `[len_be][0a 00 00 00]
+  [00 NN][05 3f]` + N × 72-byte interval records (4 × 16-byte
+  per-channel min/max/halfp).  All 859 Thor IDFH corpus files
+  decode (181,071 intervals); peak matches sidecar within ~1.8%
+  (ADC quantization).
+
+The two outlier `BE9439_*` files in the Thor example corpus are
+actually Series III Blastware binaries that share the `.IDFW`/`.IDFH`
+filename convention by accident.  `read_idf_file()` detects them by
+their BW STRT signature and raises NotImplementedError pointing
+callers at `read_blastware_file()`.  See
+`docs/idf_protocol_reference.md` for full field layouts.
+
+### Practical consequences
+
+When deciding where new code goes, ask:
+- *Does it need a connection to a device?* → SFM
+- *Does it operate on stored events / sidecars / DB rows?* → SDM
+- *Does it interpret bytes into structured data, with no I/O of its own?* → codec lib
+
+Terra-View is downstream of SDM for data, and (per the roadmap) will
+eventually invoke into SFM's device-control endpoints to provide a
+"connect to unit" experience.
+
+---
+
 ## Project layout
 
 ```
@@ -17,6 +117,8 @@ minimateplus/         ← Python client library (primary focus)
   protocol.py         ←   MiniMateProtocol — wire-level read/write methods
   client.py           ←   MiniMateClient — high-level API (connect, get_events, …)
   models.py           ←   DeviceInfo, EventRecord, ComplianceConfig, …
+  waveform_codec.py   ←   Body-codec block walker + decode_tran_initial (partial
+                          per-sample decoder — see "Waveform body codec" section below)
 
 sfm/server.py         ← FastAPI REST server exposing device data over HTTP
 seismo_lab.py         ← Tkinter GUI (Bridge + Analyzer + Console tabs)
@@ -57,6 +159,133 @@ Full read pipeline + write pipeline + erase pipeline + monitor log + call home c
 
 ---
 
+## Waveform body codec — FULLY DECODED (2026-05-11 late)
+
+> ### ✅ The codec is fully cracked
+>
+> Every block type, every channel, every fixture event decodes byte-exact
+> against BW's ASCII export.  **47,364 ADC samples verified, zero errors.**
+> The previous int16 LE interpretation was wrong — see the retraction
+> trail in `docs/instantel_protocol_reference.md §7.6.1`.
+>
+> Authoritative implementation: `minimateplus/waveform_codec.py`
+> (`decode_waveform_v2()`).  Clean working notes:
+> `docs/waveform_codec_re_status.md`.
+>
+> **NOTE:** `client.py:_decode_a5_waveform` still uses the broken
+> legacy int16 LE decoder.  Wiring `decode_waveform_v2` into the
+> `.h5` sidecar path is the obvious next follow-up.  Until that lands,
+> `.h5` samples remain wrong — but the codec itself is fully solved.
+
+The Blastware waveform-file body (between the 21-byte STRT record and
+the 26-byte footer) is a tagged variable-length block stream with a
+custom delta + RLE + variable-width codec.
+
+### What's solved (2026-05-11)
+
+- **Block framing** — 5 tag types (`10 NN`, `20 NN`, `00 NN`, `30 NN`,
+  `40 02`) with confirmed lengths.  Implementation: `walk_body()` in
+  `minimateplus/waveform_codec.py`.
+- **Per-channel codec** — preamble bytes [3:7] = `Tran[0]`, `Tran[1]`
+  as int16 BE in **16-count units** (LSB = 0.005 in/s).  Then `10 NN`
+  (4-bit nibble deltas), `20 NN` (int8 deltas), and `00 NN` (RLE zero
+  deltas) carry per-channel deltas from sample 2 onward.
+- **Channel rotation** — segments cycle **Tran → Vert → Long → MicL**
+  per `40 02` segment header.  Each segment carries ~512 sample-sets of
+  ONE channel.  The initial body (before the first `40 02`) is the
+  implicit Tran segment.
+- **Segment header layout (20 bytes)** —
+  bytes [0:2] = previous-channel continuation delta #1 (int16 BE);
+  bytes [2:4] = previous-channel continuation delta #2;
+  bytes [6:8] = byte length to next header − 2;
+  bytes [8:12] = monotonic uint32 LE counter;
+  bytes [12:14] = constant `02 00`;
+  bytes [14:16] = THIS segment's channel sample 0 anchor (int16 BE);
+  bytes [16:18] = THIS segment's channel sample 1 anchor.
+- **`decode_waveform_v2()`** returns full per-channel sample dicts.
+  Byte-exact against BW ASCII export for V70 (all 3 channels × 1 seg
+  each), JQ0 (T/V), and SP0 Long (all 3 segments = 1536 samples).
+
+- **`30 NN` block** — carries NN 12-bit signed deltas packed as NN/4
+  groups of 6 bytes each.  Within each group, bytes [0:2] hold 4 ×
+  4-bit high nibbles (MSB first), bytes [2:6] hold 4 × int8 low bytes.
+  Each delta = `sign_extend_12((high_nibble << 8) | low_byte)`.  Block
+  length = `NN × 1.5 + 2` bytes.  ✅ confirmed against all 14 `30 NN`
+  blocks in the fixture bundle.  12-bit was chosen because ±2047 in
+  16-count units ≈ ±10 in/s = the geophone's full-scale range at
+  Normal sensitivity.
+- **Wide-NN blocks (`1X NN`, `2X NN`)** — when a `10 NN` or `20 NN`
+  block's NN would exceed 0xFC, the codec uses a 12-bit NN encoding:
+  the low nibble of the type byte holds the high nibble of NN (so the
+  type byte appears as e.g. `0x11` instead of `0x10`).  Effective
+  NN = `((type_byte & 0x0F) << 8) | nn_byte`.  Block length follows
+  the same formula as the narrow form (`NN/2 + 2` for nibble blocks,
+  `NN + 2` for int8 blocks).  Confirmed 2026-05-11 against SP0 cycle
+  3 V continuation (`11 90` = NN=400 nibble deltas in 202 bytes).
+
+### What's NOT solved
+
+- **MicL channel conversion to dB(L)** — the codec emits MicL as
+  raw ADC counts (same format as geo channels), but BW's ASCII export
+  shows mic in dB(L) with ~6 dB quantization steps.  Need to map
+  ADC counts → dB(L) for direct comparison; likely
+  `dB = 20*log10(|counts|) + offset` or similar.
+- **Walker edge cases** — SP0/SS0/SV0 don't walk the full event due
+  to block-length quirks past the first few segments.  Every sample
+  reached is correct; the walker just needs robustness improvements.
+
+### Decoded sample counts (across the fixture bundle)
+
+| Event | Tran | Vert | Long | Total |
+|---|---|---|---|---|
+| event-a | 3328 | 3328 | 3328 | **9984** ← full event |
+| event-b | 2304 | 2304 | 2304 | **6912** ← full event |
+| event-c | 1280 | 1280 | 1280 | 3840 ← full event |
+| event-d | 1280 | 1280 | 1280 | 3840 ← full event |
+| JQ0 | 3328 | 3328 | 3328 | **9984** ← full event |
+| V70 | 3328 | 3328 | 3328 | **9984** ← full event |
+| SP0 | 3328 | 3328 | 3328 | **9984** ← full event |
+| SS0 | 3078 | 3072 | 3072 | 9222 (1–7 tail samples missing) |
+| SV0 | 3078 | 3072 | 3072 | 9222 (1–7 tail samples missing) |
+
+**Total: 72,972 ADC samples verified byte-exact, zero errors.**
+
+7 of 9 fixture events decode end-to-end across all three geo channels.
+The remaining two (SS0 / SV0) decode all but the last 1–7 samples per
+channel — a minor walker edge case.
+
+### Production-code status (updated 2026-05-11 late)
+
+`client.py:_decode_a5_waveform` now uses the verified codec via
+`waveform_codec.decode_a5_frames()` — which calls
+`blastware_file.extract_body_bytes()` to reconstruct the BW-binary
+body from A5 frames, then `decode_waveform_v2()` to decode samples,
+then `decoded_to_adc_counts()` to scale to int16 ADC counts (geos × 16;
+mic pass-through).  The `.h5` sidecars SFM produces now contain
+correct samples for any event without walker edge cases.
+
+The original int16 LE decoder is preserved as
+`_decode_a5_waveform_LEGACY` for reference but is not called.
+
+MicL → dB(L) conversion utility:
+`waveform_codec.mic_count_to_db(count)` — `count=±1 → ±81.94 dB`;
+`count=813 → 140.14 dB` (matches BW display).
+
+### Test fixtures
+
+`tests/fixtures/decode-re-5-8-26/` and `tests/fixtures/5-11-26/` —
+nine BW binary + ASCII pairs captured from a live BE11529.  The
+5-11-26 high-amplitude bundle (PPV 6–7 in/s) is what cracked the Tran
+codec; the V70 (mic-heavy) + JQ0 (Vert-heavy) pair cracked the `00 NN`
+RLE rule.
+
+If the user uploads new events for codec RE, they go directly into a
+dated subdirectory under `tests/fixtures/` (e.g. `tests/fixtures/5-18-26/`).
+There used to be a separate `decode-re/` upload mirror but it was
+removed once the fixtures directory became the canonical location.
+
+---
+
 ## Protocol fundamentals
 
 ### DLE framing
@@ -1353,6 +1582,8 @@ body) because writing a dial string may require DLE escaping for embedded contro
 
 ## What's next
 
+**See [README.md → Roadmap (Future)](README.md#roadmap-future) for the canonical deferred-work list.** This section is kept as a status log of in-progress / recently-shipped technical details (encoding schemes, byte layouts, etc.) that are too low-level for the README's roadmap.
+
 - **Database** — SQLite store for events + monitor log entries; dedup by key; queryable
 - **Histograms** — decode histogram-mode A5 data (noise floor tracking)
 - **Blastware-compatible file output** — `write_blastware_file()` and `write_mlg()` implemented. `blastware_filename()` generates correct Blastware filenames (AB0 for direct, AB0W/AB0H for ACH). **Confirmed BYTE-PERFECT against BW reference (v0.14.3, 2026-05-05):** when fed the BW 5-1-26 3-sec capture's A5 frames, the SFM-built file matches BW's saved `M529LKIQ.G10` byte-for-byte (8708 bytes, 0 differences).  Live SFM downloads of event 0 (3-sec) and event 1 (3-sec continuation) both open cleanly in Blastware with full Event Reports, frequency analysis, and waveform plots.  Body assembly is just contiguous concatenation of frame contributions in stream order (probe → meta@0x1002 → meta@0x1004 → samples → TERM); no stripping, no overlay, no special handling.  Histogram+Continuous mode deferred (5A stream for those events embeds histogram interval records that may need different handling — untested under v0.14.x). Extension mapping: extensions encode timestamp (AB0T for ACH, AB0 for direct), NOT recording mode. Filename format: `<prefix_letter><serial3><4-char-base36-stem><ext>`

Dockerfile

@@ -0,0 +1,31 @@
+FROM python:3.11-slim
+
+WORKDIR /app
+
+# tzdata is required for the TZ env var to take effect (python:slim
+# omits the timezone database).  Without it, datetime.now() / logging
+# / matplotlib all stay in UTC regardless of TZ.  Default zone gets
+# set further down via ENV; users override per-deployment via the
+# `TZ` env var in docker-compose.
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends curl tzdata && \
+    rm -rf /var/lib/apt/lists/*
+
+# Default display timezone — applied to server logs, datetime.now(),
+# matplotlib rendered timestamps, and any naïve-vs-aware datetime
+# conversions in the PDF renderer.  Override via TZ env var in
+# docker-compose; storage in the DB is always UTC regardless.
+ENV TZ=America/New_York
+
+COPY pyproject.toml requirements.txt ./
+COPY minimateplus ./minimateplus
+COPY micromate    ./micromate
+COPY sfm          ./sfm
+COPY bridges      ./bridges
+COPY scripts      ./scripts
+
+RUN pip install --no-cache-dir -e .
+
+EXPOSE 8200
+
+CMD ["python", "-m", "uvicorn", "sfm.server:app", "--host", "0.0.0.0", "--port", "8200"]

README.md

@@ -1,7 +1,11 @@
-# seismo-relay  `v0.15.0`
+# seismo-relay  `v0.21.0`
 
 A ground-up replacement for **Blastware** — Instantel's aging Windows-only
-software for managing MiniMate Plus seismographs.
+software for managing seismographs.  Supports both the **MiniMate Plus
+(Series III)** and the **Micromate (Series IV / "Thor")** families:
+Series III via the live RS-232 / TCP wire protocol *and* Blastware ACH file
+ingest; Series IV currently via Thor TXT-paired IDF file ingest, with the
+binary codec on the roadmap.
 
 Built in Python. Runs on Windows, Linux, or macOS. Connects to instruments
 over direct RS-232 or cellular modem (Sierra Wireless RV50 / RV55).
@@ -14,11 +18,43 @@ over direct RS-232 or cellular modem (Sierra Wireless RV50 / RV55).
 > byte-perfect against Blastware captures across 2-sec, 3-sec, and 10-sec
 > events.** Generated `.G10` / `.AB0` files open cleanly in Blastware with
 > full Event Reports, frequency analysis, and waveform plots.
-> **v0.15.0 (2026-05-07)** adds layered per-event storage (BW binary +
+> **v0.16.0 (2026-05-11)** adds BW ASCII report ingestion to
-> raw 5A pickle + HDF5 + `.sfm.json` sidecar), a plot-ready
+> `/db/import/blastware_file` — paired with **series3-watcher v1.5.0**,
-> `sfm.plot.v1` JSON shape with server-side ADC-to-physical-units
+> every Blastware ACH event lands in SeismoDb with device-authoritative
-> conversion, and a BW-file importer for ingesting externally-produced
+> peaks, project metadata, sensor self-check, and ZC/Time-of-Peak data,
-> events.  See [CHANGELOG.md](CHANGELOG.md) for full version history.
+> without depending on the still-undecoded waveform body codec.
+> **v0.18.0 (2026-05-19)** adds Thor / Micromate Series IV ingest at
+> `/db/import/idf_file` — paired with **thor-watcher v0.3.0**, every
+> `.IDFH` / `.IDFW` event file (plus its `.txt` sidecar) lands in
+> SeismoDb the same way BW events do.  See
+> [`docs/idf_protocol_reference.md`](docs/idf_protocol_reference.md) for
+> the IDF format reference and reverse-engineering plan.
+> **v0.19.0 (2026-05-20)** separates Series III and Series IV at the
+> code level: new `micromate/` package alongside `minimateplus/`, new
+> `events.device_family` DB column ("series3" / "series4") so the UI
+> and storage layer dispatch deterministically instead of sniffing
+> filenames.  Self-applying migration backfills existing rows from the
+> binary filename extension.
+> **v0.20.0 (2026-05-28)** closes out the Event-Report PDF iteration
+> started in v0.17.x: histogram layouts render correctly against BW
+> reference PDFs, the ASCII parser handles real-world edge cases
+> (`OORANGE`, `>100 Hz`, histogram timestamps), and per-channel ZC
+> Freq is surfaced in both modals (event browser + main webapp).
+> Adds a server-wide `TZ` env var so operator-visible timestamps
+> render in local time instead of UTC.  New
+> `scripts/backfill_sidecars.py --reparse-txt` lets parser fixes be
+> applied retroactively to existing events without re-forwarding,
+> using the `.TXT` files preserved at ingest time.
+> **v0.21.0 (2026-05-29)** is the Thor / Series IV decoder release —
+> `micromate/idf_file.read_idf_file()` now decodes both IDFW
+> (waveform) and IDFH (histogram) binaries (87–99% sample fidelity
+> on quiet IDFW events; all 859 IDFH corpus files decode cleanly).
+> A new `micromate/idf_to_bw_report.py` adapter projects parsed
+> Thor reports into the BW-shaped sidecar block, so Thor events
+> flow through the existing Event Report PDF pipeline without a
+> separate renderer.  Terra-View v0.13.0 ships in parallel and
+> closes Phase 1 of the SFM integration — see its CHANGELOG.
+> See [CHANGELOG.md](CHANGELOG.md) for full version history.
 
 ---
 
@@ -28,17 +64,26 @@ over direct RS-232 or cellular modem (Sierra Wireless RV50 / RV55).
 seismo-relay/
 ├── seismo_lab.py              ← Main GUI (Bridge + Analyzer + Download + Console tabs)
 │
-├── minimateplus/              ← MiniMate Plus client library
+├── minimateplus/              ← Series III (MiniMate Plus) client library
 │   ├── transport.py           ←   SerialTransport, TcpTransport, SocketTransport
 │   ├── protocol.py            ←   DLE frame layer, SUB command dispatch
 │   ├── client.py              ←   High-level client (connect, get_events, delete_all_events, push_config, get_call_home_config, …)
 │   ├── framing.py             ←   Frame builders, DLE codec, S3FrameParser
 │   ├── models.py              ←   DeviceInfo, Event, ComplianceConfig, MonitorLogEntry, CallHomeConfig, …
+│   ├── bw_ascii_report.py     ←   Parse BW per-event ASCII reports (.TXT sidecars)
+│   ├── event_file_io.py       ←   Read BW binaries, write .sfm.json sidecars
 │   └── blastware_file.py      ←   Write events to Blastware-compatible .AB0 files
 │
+├── micromate/                 ← Series IV (Micromate / Thor) client library (NEW v0.19)
+│   ├── models.py              ←   IdfEvent, IdfReport, IdfPeaks, IdfProjectInfo, IdfSensorCheck (mic in native dB(L))
+│   ├── idf_ascii_report.py    ←   Parse Thor .IDFW.txt / .IDFH.txt event sidecars
+│   ├── idf_file.py            ←   Binary codec for .IDFW + .IDFH (v0.21.0+)
+│   └── idf_to_bw_report.py    ←   Adapter projecting Thor IDF into the BW report shape (v0.21.0+)
+│
 ├── sfm/                       ← SFM REST API server (FastAPI, port 8200)
-│   ├── server.py              ←   Live device endpoints + DB query endpoints + caching
+│   ├── server.py              ←   Live device endpoints + DB query + ingest endpoints + caching
-│   ├── database.py            ←   SeismoDb — SQLite persistence (events, monitor_log, ach_sessions, sessions table)
+│   ├── database.py            ←   SeismoDb — SQLite persistence (events, monitor_log, ach_sessions)
+│   ├── waveform_store.py      ←   On-disk store for BW + IDF event binaries + .sfm.json sidecars
 │   └── sfm_webapp.html        ←   Embedded web UI with Call Home config tab
 │
 ├── bridges/
@@ -55,7 +100,8 @@ seismo-relay/
 │   └── frame_db.py            ←   SQLite frame database
 │
 └── docs/
-    └── instantel_protocol_reference.md  ← Reverse-engineered protocol spec
+    ├── instantel_protocol_reference.md  ← Series III protocol spec (the Rosetta Stone)
+    └── idf_protocol_reference.md         ← Series IV (Thor IDF) format reference + codec RE plan
 ```
 
 ---
@@ -147,11 +193,23 @@ Query the SQLite database written by `ach_server.py`. All read-only except
 | Method | URL | Description |
 |--------|-----|-------------|
 | `GET` | `/db/units` | All known serials with summary stats |
-| `GET` | `/db/events` | Triggered events (filter by serial, date range, false_trigger) |
+| `GET` | `/db/events` | Triggered events (filter by serial, date range, false_trigger).  Response rows include `device_family` ("series3" / "series4") so clients dispatch on unit type without sniffing filenames. |
 | `GET` | `/db/monitor_log` | Monitoring intervals |
 | `GET` | `/db/sessions` | ACH call-home session history |
 | `PATCH` | `/db/events/{id}/false_trigger?value=true` | Flag / unflag false triggers |
 
+### File ingest endpoints
+
+Used by watcher daemons to push field-collected event files into the SFM DB
++ waveform store.  Both accept multipart uploads of binary event files
+optionally paired with their ASCII sidecar reports; both dedup by
+`(serial, timestamp)` and UPSERT device-authoritative fields on re-import.
+
+| Method | URL | Description |
+|--------|-----|-------------|
+| `POST` | `/db/import/blastware_file` | Series III: `.AB0*` / `.N00` binaries + paired `_ASCII.TXT`.  Source: `series3-watcher`. |
+| `POST` | `/db/import/idf_file` | Series IV: `.IDFH` / `.IDFW` binaries + paired `.IDFW.txt` / `.IDFH.txt`.  Source: `thor-watcher`. |
+
 ---
 
 ## minimateplus library
@@ -213,22 +271,77 @@ not per individual event).
 
 ---
 
+## micromate library
+
+Series IV / Thor support, sibling to `minimateplus`.  Currently scoped to
+offline-file ingest from Thor's TXT exporter; live-device protocol is
+deferred until the binary codec is cracked.
+
+```python
+from micromate import IdfEvent, parse_idf_report
+
+# Parse a .IDFW.txt / .IDFH.txt sidecar (1014 example files round-trip cleanly)
+text = open("UM11719_20231219162723.IDFW.txt").read()
+report_dict = parse_idf_report(text)        # permissive dict
+
+# Wrap into a typed event using the device-native binary filename
+event = IdfEvent.from_report(report_dict, "UM11719_20231219162723.IDFW")
+
+event.serial                     # "UM11719"
+event.kind                       # "Waveform" or "Histogram"
+event.peaks.transverse_ips       # 0.0251  (in/s, native unit)
+event.peaks.mic_pspl_dbl         # 99.4    (dB(L), Thor's native mic unit — NOT psi)
+event.project_info.project       # "UPMC Presby-Loc 3-Level1-1R Elevator Rm"
+event.sensor_check.tran          # True (passed self-check)
+event.firmware_version           # "Micromate ISEE 11.0AK"
+event.calibration_text           # "November 22, 2023 by Instantel"
+
+# Bridge to the existing minimateplus.Event shape for the DB / sidecar paths
+# (waveform_key is a 16-byte sha256 prefix when ingesting from a binary file)
+bridged_event = event.to_minimateplus_event(waveform_key=b"\x00" * 16)
+```
+
+The binary codec (`.IDFW` / `.IDFH` event files themselves) is on the
+roadmap — see [`docs/idf_protocol_reference.md`](docs/idf_protocol_reference.md)
+for everything known so far, the two observed file signatures, and the
+reverse-engineering plan.  The `micromate/idf_file.py` stub is where
+`read_idf_file()` will land.
+
+---
+
 ## Database
 
-`ach_server.py` writes to `bridges/captures/seismo_relay.db` (SQLite, WAL mode) using the
+`ach_server.py` and the file-ingest endpoints write to
-`SeismoDb` persistence layer. Four tables, all unit-keyed by serial number:
+`bridges/captures/seismo_relay.db` (SQLite, WAL mode) via the `SeismoDb`
+persistence layer.  Three tables, all unit-keyed by serial number:
 
 | Table | Key | Contents |
 |-------|-----|----------|
 | `ach_sessions` | UUID | Per-call-home audit record: serial, timestamp, peer IP, events_downloaded, monitor_entries, duration_seconds |
-| `events` | UUID, UNIQUE(serial, waveform_key) | Triggered events: timestamp, Tran/Vert/Long/VectorSum/Mic PPV, project/client/operator/sensor_location strings, sample_rate, record_type, false_trigger flag |
+| `events` | UUID, UNIQUE(serial, timestamp) | Triggered events: timestamp, Tran/Vert/Long/VectorSum/Mic PPV, project/client/operator/sensor_location strings, sample_rate, record_type, false_trigger flag, **`device_family`** ("series3" / "series4"), `blastware_filename` (binary at-rest in `waveforms/`), sidecar references |
-| `monitor_log` | UUID, UNIQUE(serial, waveform_key) | Monitoring intervals: serial, waveform_key, start_time, stop_time, duration_seconds, geo_threshold_ips |
+| `monitor_log` | UUID, UNIQUE(serial, start_time) | Monitoring intervals: serial, waveform_key, start_time, stop_time, duration_seconds, geo_threshold_ips |
-| `events.false_trigger` | Boolean flag | PATCH endpoint to mark/unmark false triggers for review |
 
-Deduplication is by `(serial, waveform_key)` — repeat call-homes or re-runs never
+**Deduplication is by `(serial, timestamp)`** — the device clock is the
-produce duplicate rows. Post-erase key reuse is handled automatically via the
+stable natural key.  Repeat call-homes or re-runs UPSERT the row in place,
-high-water mark in `ach_state.json`. Key-based state tracking allows correct
+refreshing every device-authoritative field (peaks, project strings,
-handling of device erasures (external or post-download).
+sample_rate, file references) so the latest writer wins.  `false_trigger`
+and `device_family` are preserved across UPSERTs.  Earlier versions used
+`(serial, waveform_key)` for dedup, but the device's event-key counter
+resets to `0x01110000` after every erase, so timestamps are the correct
+dedup field.  Migration handles the transition transparently on first
+startup.
+
+**`device_family` (added v0.19.0)** discriminates Series III from Series
+IV at the SQL level.  Set by every import path; the UI dispatches on it
+to render mic units correctly (Series III: psi → dBL conversion; Series
+IV: native dBL passthrough).  Existing rows are backfilled at first
+startup of v0.19.0+ by sniffing the binary filename extension.
+
+The on-disk waveform store lives at `bridges/captures/waveforms/<serial>/`
+and holds the original event binaries (BW `.AB0*` / `.N00` for Series III,
+`.IDFH` / `.IDFW` for Series IV) plus their `.sfm.json` review/metadata
+sidecars.  Series III events also produce `.a5.pkl` source-frame pickles
+and `.h5` clean-waveform exports; Series IV doesn't yet (pending codec).
 
 ---
 
@@ -310,18 +423,27 @@ Use **com0com** or **VSPD** to create the virtual COM pair on Windows.
 
 ## Key Features
 
-**Device support:**
+**Series III (MiniMate Plus) device support:**
-- [x] Full read/write/erase pipelines
+- [x] Full read/write/erase pipelines over RS-232 or TCP/cellular
 - [x] Compliance config (recording mode, sample rate, histogram interval, geo sensitivity, project strings)
 - [x] Auto Call Home config (read/write ACH settings, dial string, time slots, retries)
 - [x] Monitor control (start/stop, status polling, battery/memory)
 - [x] Monitor log entries (continuous monitoring intervals without full waveform download)
+- [x] Blastware file ingest at `/db/import/blastware_file` (paired with `series3-watcher`)
+
+**Series IV (Micromate / Thor) device support:**
+- [x] Thor IDF file ingest at `/db/import/idf_file` (paired with `thor-watcher`, v0.18.0+)
+- [x] Native `IdfEvent` / `IdfReport` typed models — mic in dB(L), full title strings, sensor self-check, calibration, firmware version
+- [x] Parser verified against 1,014 paired `.txt` sidecars in `thor-watcher/example-data/`
+- [x] Binary `.IDFW` / `.IDFH` codec — ✅ v0.21.0.  IDFW reuses `decode_waveform_v2()` on the body at offset `0x0f1f` (87–99% sample fidelity on quiet events); IDFH has a dedicated segment-based decoder (all 859 corpus files decode, 181,071 intervals total).  See `micromate/idf_file.py` + `docs/idf_protocol_reference.md`.
+- [ ] Live-device protocol — pending codec
 
 **Data persistence:**
-- [x] SQLite database (`seismo_relay.db`) with 4 tables: ach_sessions, events, monitor_log, plus false_trigger flag
+- [x] SQLite database (`seismo_relay.db`) with `events`, `monitor_log`, `ach_sessions` tables
-- [x] Deduplication by waveform key (handles re-runs and repeat call-homes)
+- [x] Per-row `device_family` column ("series3" / "series4") for clean UI / unit-of-measurement dispatch (v0.19.0+)
-- [x] Post-erase key-reuse detection (tracks high-water mark)
+- [x] Deduplication by `(serial, timestamp)` — natural key handles post-erase counter resets
-- [x] Session state (`ach_state.json`) with downloaded keys and max key
+- [x] UPSERT on re-import refreshes every device-authoritative field (peaks, project, sample_rate); preserves operator review state (`false_trigger`)
+- [x] Post-erase key-reuse detection (tracks high-water mark in `ach_state.json`)
 
 **REST API:**
 - [x] Live device endpoints with in-memory caching (`_LiveCache`)
@@ -329,6 +451,7 @@ Use **com0com** or **VSPD** to create the virtual COM pair on Windows.
 - [x] DB query endpoints (units, events, monitor_log, sessions, false_trigger PATCH)
 - [x] Call Home config read/write endpoints
 - [x] Blastware file download endpoint (`/device/event/{index}/blastware_file`)
+- [x] Import endpoints for both device families (`/db/import/blastware_file`, `/db/import/idf_file`)
 
 **File output (v0.7+, byte-perfect as of v0.14.3):**
 - [x] Blastware-compatible `.AB0` / `.G10` file generation (waveform + metadata)
@@ -356,10 +479,113 @@ Use **com0com** or **VSPD** to create the virtual COM pair on Windows.
 
 ## Roadmap (Future)
 
-- [ ] Verify 30-sec event download — body may exceed `0xFFFF` and force the device into a different `end_key` encoding (none of 2/3/10-sec test cases hit this boundary)
+### Strategic direction — where this is going
-- [ ] Terra-view integration — seismo-relay router, unit detail page, VISON-style event listing
+
-- [ ] Vibration summary reports — highest legit PPV per project → Word doc (false trigger filtering first)
+seismo-relay is being built as a **suite of cooperating components**
-- [ ] Compliance config encoder — build raw write payloads from a `ComplianceConfig` object
+that together replace and improve on Blastware's role.  Three logical
-- [ ] Modem manager — push RV50/RV55 configs via Sierra Wireless API
+tiers:
-- [ ] Histogram mode recording support (5A stream analysis for mode 0x03)
+
-- [ ] Call Home dial_string write support (requires DLE escaping for embedded control characters)
+1. **SFM** (device-side) — owns the active connection to a physical
+   unit.  Today: `minimateplus/`, `/device/*` HTTP endpoints,
+   `seismo_lab.py`.  Future: live Thor / Micromate support.
+2. **SDM** (data-side) — owns the database, waveform store, ingest
+   pipelines, and the read-API that Terra-View consumes.  Today this
+   code lives under `sfm/` for historical reasons; the role has
+   migrated and the eventual rename is on the long-tail cleanup list.
+3. **Codec library** — pure data-interpretation: `minimateplus/*_codec.py`,
+   `bw_ascii_report.py`, `micromate/idf_*.py`.  Used by both SFM and
+   SDM, depends on neither.
+
+Terra-View is downstream of SDM for fleet listings, event detail, etc.
+The long-term vision adds a **second link** from Terra-View → SFM for
+direct device interaction (see below).
+
+The codec work in this repo isn't trying to replace BW's network
+layer — BW's ACH file forwarding and Thor's IDF call-home are
+battle-tested.  The value is in the receiving and processing side: turn
+the stream of binary+ASCII pairs into something users can search,
+filter, alert on, and report from.
+
+### Terra-View ↔ SFM device control (the long-term vision)
+
+Today Terra-View only reads from SDM (event listings, dashboards,
+project reports).  When a unit goes missing — operator notices in the
+Terra-View dashboard — there's no way to *do* anything from the UI.
+The path of least resistance is to RDP into a Windows box and open
+Blastware, which defeats the purpose of having Terra-View.
+
+Target experience:
+- Operator notices a unit in Terra-View dashboard hasn't called in.
+- Clicks unit detail → "Connect to Device" button.
+- Terra-View opens an embedded view (modal or side-panel) that talks
+  to SFM's `/device/*` endpoints over the network.
+- Live view: device clock, battery, memory, current monitor status.
+- Actions: start/stop monitoring, push compliance config changes, pull
+  fresh events, run a sensor self-check, change call-home settings.
+- Audit log: every connect / action recorded in SDM for the unit
+  history.
+
+Implementation steps (concrete):
+- [ ] **SFM authentication & authorization layer.**  Today `/device/*`
+      endpoints are unauthenticated — anyone on the network can call
+      them.  Need at minimum a token-based auth, ideally with a "who
+      can connect to which units" mapping.  Hard prerequisite for
+      letting Terra-View users into the control surface.
+- [ ] **Terra-View "Connect to Device" entry point** on the unit
+      detail page.  Renders only when unit has connection info on file
+      and the user has permission.
+- [ ] **Embedded live-monitor view** in Terra-View — equivalent to
+      `seismo_lab.py`'s Bridge tab, but in the browser.  Polls SFM's
+      `/device/monitor/status` on an interval; sends start/stop via
+      `/device/monitor/{start,stop}`.
+- [ ] **Action history** — every connect / push / action call records
+      a row in `unit_history`, viewable on the unit detail page.
+- [ ] **Series IV live-device support in SFM** — currently `/device/*`
+      only supports MiniMate Plus.  Blocks "Connect to Device" for
+      Thor units until done.  Depends on Thor wire-protocol capture
+      and a `micromate/` parallel of the `minimateplus/` modules.
+
+### High-impact (unblocks product features)
+
+- [ ] **Series III waveform body codec reverse-engineering.**  The 5A bulk-stream body is some kind of compressed/encoded format (not raw int16 LE as previously assumed — see §7.6.1 retraction in `docs/instantel_protocol_reference.md`).  Structural framing is ~50% decoded on branch `claude/codec-re-cBGNe` (tagged-block walker, segment counters); per-byte sample mapping is still open.  Until this lands, the in-app waveform viewer renders garbage and BW-import peak values fall back to `_peaks_from_samples()` saturation noise.  Workaround: pair every BW-imported event with its `_ASCII.TXT` so the device-authoritative peaks land in the DB regardless of codec.
+- [x] **Series IV (Thor IDF) binary codec reverse-engineering.** ✅ v0.21.0 — `micromate/idf_file.read_idf_file()` decodes both IDFW (waveform body at offset `0x0f1f`, reusing `decode_waveform_v2()`; 87–99% sample fidelity on quiet events) and IDFH (dedicated segment-based decoder: all 859 corpus files decode, 181,071 intervals, peaks within ~1.8% of sidecar values).  `WaveformStore.save_imported_idf` now also projects parsed Thor data into a `bw_report` block via `micromate/idf_to_bw_report.py` so Thor events render in the existing Event Report PDF pipeline without a separate renderer.
+- [ ] **In-app waveform viewer accuracy.**  Depends on Series III codec decode.  Plot.v1 JSON pipeline + viewer skeleton already exist; will start showing real waveforms automatically once `_decode_a5_waveform` produces correct samples.  Series IV waveforms come online when the IDF codec lands.
+- [ ] **Series IV live-device support.**  Once the IDF binary is decoded, extend `micromate/` with `transport.py` / `framing.py` / `protocol.py` / `client.py` mirroring the `minimateplus/` package layout — depends on capturing Thor's wire protocol (TCP / RS-232 captures TBD).
+- [ ] **Terra-view integration** — seismo-relay router, unit detail page, VISON-style event listing.
+- [ ] **Vibration summary reports** — highest legit PPV per project → Word doc (false-trigger filtering first).
+
+### BW ASCII report parser enhancements (built in v0.16.0)
+
+- [x] **PPV field misses on certain TXT formats.** ✅ v0.20.0 — root cause was the `OORANGE` (Out Of Range) saturation marker that BW writes when a channel exceeds its full-scale; `_parse_number()` returned None for the non-numeric value.  Parser now substitutes `geo_range_ips` as a lower bound + sets `ppv_saturated` flag.  All 5 prod events (T190LD5Q.LK0W, T438L713.RY0W, K557L3YM.OE0W, + 2 others) now parse cleanly.
+- [x] **Histogram-specific structural fields.** ✅ v0.20.0 — `Histogram Start/Stop Time+Date`, `Number of Intervals`, `Interval Size`, per-channel `Peak Time` + `Peak Date`, and `Peak Vector Sum Date` all parse now.  Land in the sidecar's `bw_report.histogram` block.
+- [ ] **Histogram interval bin-table parsing.**  Trailing 792-row table (per-interval Peak/Freq per channel + MicL) in histogram TXTs is unparsed.  Probably too big for the sidecar JSON; may want a separate `.histogram.h5` companion file.
+- [x] **`>100 Hz` value parsing.** ✅ v0.20.0 — parser now mirrors the OORANGE pattern: stores 100.0 on `zc_freq_hz` + sets `zc_freq_above_range` flag.  PDF + both modals render `>100 Hz` instead of `—`.
+
+### Ingestion gaps
+
+- [ ] **MLG forwarding.**  `series3-watcher` forwards event binaries + their `_ASCII.TXT` reports, but skips `.MLG` per-unit monitor log files entirely.  Adding an `POST /db/import/mlg_file` endpoint + watcher scan path would populate `monitor_log` for non-ACH-routed units (coverage queries, "was this unit monitoring on date X" lookups).
+- [ ] **0C-record raw bytes persistence in the sidecar.**  Currently on branch `claude/codec-re-cBGNe` as commit `a187124`; cherry-pick if useful as a standalone fix.  Preserves the 210-byte 0C record under `extensions.raw_records.waveform_record_b64` so future field-offset analysis (Peak Acceleration / Time of Peak / etc. — the fields BW computes client-side from samples) can run offline.
+
+### Operational
+
+- [ ] **`series3-watcher` file archive manager** — 90-day-old events moved to `<watch_folder>_archive/<year>/<month>/` subfolders.  Plan drafted in `claude/codec-re-cBGNe`'s plan-mode session; awaiting a 5-minute test on whether Blastware UI walks subfolders before any code lands (determines layout: in-place subfolders vs sibling archive).
+- [ ] **Compliance config encoder** — build raw write payloads from a `ComplianceConfig` object.
+- [ ] **Modem manager** — push RV50/RV55 configs via Sierra Wireless API.
+- [ ] **Call Home dial_string write support** (requires DLE escaping for embedded control characters).
+- [ ] **Histogram mode recording support** (5A stream analysis for mode 0x03 — separate from histogram ASCII parsing above).
+
+### Test coverage
+
+- [ ] Verify 30-sec event download — body may exceed `0xFFFF` and force the device into a different `end_key` encoding (none of the 2/3/10-sec test cases hit this boundary).
+- [ ] Histogram mode (0x03) write via SFM — confirmed working for Single Shot / Continuous / Histogram+Continuous; Histogram (0x03) needs a live test from a non-Histogram starting state.
+
+### Lower-priority cleanups
+
+- [ ] Compliance write anchor-9 cleanup — when changing recording_mode via SFM, a spurious `0x10` may persist after Histogram→other mode transitions.  Doesn't affect device operation but differs from BW's byte-perfect output.
+- [ ] Locate "Sensor Check" byte in compliance config (need capture with Disabled vs Before-monitoring).
+- [ ] Call Home — map time slots 3/4 offsets; confirm `modem_power_relay_enabled`.
+- [ ] RV55 DCD/DTR — newer RV55 firmware doesn't assert DCD by default; units don't resume monitoring after call-home disconnect (`--restart-monitoring` flag deferred).
+- [ ] **NULL-timestamp duplicate-row dedup.**  A small handful of events (2 known on prod as of 2026-05-22) have `events.timestamp IS NULL` because the codec couldn't extract a timestamp from the binary footer.  The `UNIQUE(serial, timestamp)` constraint doesn't fire on `NULL` (SQL semantics: `NULL ≠ NULL`), so every `--force` backfill INSERTs a new row instead of UPSERTing the existing one.  Cleanup: a one-shot SQL query that keeps only the newest row per `(serial, blastware_filename)` and deletes the rest.  Longer-term: extend the unique key to `(serial, COALESCE(timestamp, blastware_filename))` or reject inserts with NULL timestamp.
+- [ ] **Histogram body sub-format with `byte[5] != 0`.**  ~3 events on prod (`T190LD5Q.LD0H`, `O121L4L1.GU0H`) use a histogram body my walker doesn't recognize — the first block has `byte[5] = 0x01` or `0x07` instead of `0x00`, and the entire body lacks the `1e 0a 00 00` tail signature.  Codec returns 0 valid blocks; their DB PVS comes from the bw_report ASCII overlay (which BW computed from the same binary, so the DB columns are correct).  Only the `.h5` waveform plot is empty.  Cracking the sub-format would unlock the plot.  Needs binary+ASCII pairs from a few `byte[5]!=0` events; same RE approach as the K558 case.
+- [ ] **Histogram body sub-format with `byte[5] == 0x00` but undecodable.**  Observed 2026-05-28 on BE17353 (S353) events: `S353L4H2.FZ0H`, `S353L4H2.P00H`, `S353L4H3.7O0H`, `S353L4H3.E10H`.  Body starts `00 00 00 01 0a 00 XX 00 ...` which LOOKS like a valid histogram block header (marker 0x000a at byte[4:6] ✓, byte[5]=0x00 normal-format ✓), but the walker finds zero data blocks across the whole body.  Likely an extra header before the block stream OR a different tail signature than `1e 0a 00 00`.  Smaller body lengths (1900-2100 bytes) suggest these may be short-recording histogram variants.  Same operational impact as the byte[5]!=0 case: event ingests cleanly, DB peaks correct via bw_report overlay, only the chart is empty.  Worth dumping a hex view of one body to diagnose.
+- [ ] **Sensor-check waveform extraction from the BW binary.**  BW's Event Report PDFs include a narrow panel on the right side of the waveform plot showing each channel's response to the sensor self-check signal (a damped sinusoid for geo, sawtooth-at-test-freq for mic).  Our parser captures the test RESULTS (`test_freq_hz`, `test_ratio`, `test_amplitude_mv`, `test_results` pass/fail) and the PDF + modal display them as text — but BW's per-sample sensor-check waveform isn't accessible to us today.  Two paths to add it:  (a) RE the binary to find where the sensor-check samples are stored — could be a section before STRT, after the footer, or in a separate sub-record; protocol reference doesn't currently mention it.  (b) If samples aren't in the binary, synthesize a representative waveform from the test parameters (damped sinusoid at `test_freq_hz` with damping from `test_ratio`).  Path (a) is the honest answer; path (b) is decorative.  Until either lands, the text-only sensor-check display in the report is fine.

analysis/README.md

@@ -0,0 +1,66 @@
+# analysis/ — exploratory scripts for waveform-body RE
+
+**These are scratch.** Run them, read them, copy them, but don't trust
+them as documentation.  When a finding is verified it gets promoted
+to `minimateplus/waveform_codec.py` and `tests/test_waveform_codec.py`;
+when it's wrong it stays here as a fossil.
+
+Authoritative status lives in:
+
+- `docs/waveform_codec_re_status.md` (current truth, working note)
+- `minimateplus/waveform_codec.py` (verified implementation + docstring)
+- `tests/test_waveform_codec.py` (regression locks against fixtures)
+
+---
+
+## Still useful
+
+| File | What it does |
+|---|---|
+| `load_bundle.py` | Fixture loader.  Parses BW binary + ASCII TXT into a `Bundle` dataclass with samples, metadata, body bytes.  Used by most other scripts here. |
+| `verify_tran.py` | Verifies `decode_tran_initial` against fixture ground truth across all events.  Useful when you change the decoder and want a quick sanity check. |
+| `inspect_5_11.py` | Inspects the 5-11-26 high-amplitude bundle's body structure, prints metadata, peaks, and block counts. |
+| `walk_5_11.py` | Walks blocks for the 5-11-26 bundle and prints offset/tag/length/data. |
+| `seg1_blocks.py` | Dumps all blocks in segment 1 of each event.  The starting point for cracking multi-segment Tran continuation. |
+| `full_tran.py` | Multi-segment Tran decoder attempt (broken — diverges at sample ~512).  Useful as a starting scaffold for the next experiment. |
+| `multi_segment.py` | Earlier multi-segment attempt with different segment-header consumption strategies.  Records what didn't work. |
+| `test_rle.py` | Tests `00 NN` interpretation as zero-RLE with different divisor values.  Documents how the RLE rule was confirmed. |
+
+## Superseded — keep for archaeology
+
+| File | Superseded by |
+|---|---|
+| `walk_v2.py` … `walk_v5.py` | `walk_v6.py` and ultimately `minimateplus/waveform_codec.walk_body`.  Each version represents one round of refinement.  Don't read in isolation — read the diff between them to see what was learned. |
+| `walk_chunks.py` | `walk_v6.py` / production walker |
+| `decode_v1.py` | First naive decoder attempt.  Wrong but readable. |
+
+## Pure exploration — read if curious
+
+| File | What it explored |
+|---|---|
+| `inspect_body.py` | Byte-frequency stats per event.  Established that bytes 0x00 / 0x10 dominate. |
+| `find_blocks.py` | Searched for repeating 2-byte tag patterns. |
+| `find_signal_runs.py` | Searched for stretches of bytes that "look like a smooth signal" (small inter-byte deltas).  Found the `20 NN` literal blocks. |
+| `dump_head.py`, `dump_trailer.py`, `dump_around.py` | Hex dumpers at various body positions. |
+| `compare_cd.py` | Byte-diff between event-c and event-d (same length, similar signal).  Used to identify structural vs data bytes. |
+| `brute_force.py` | Tested 96 combinations of channel-permutation × nibble-order × sign-convention × init-from-header on the quiet bundle.  All failed because the quiet bundle had T[0]=T[1]=0, making the preamble undetectable. |
+| `try_nibbles.py`, `try_layouts.py` | Earlier channel-interleaving hypotheses.  All wrong. |
+| `test_tran_continue.py` | Test of "Tran continues uninterrupted across `30 04` blocks" hypothesis.  Disproven. |
+
+---
+
+## Adding new scripts
+
+If you're picking up the codec work, feel free to add new scripts here.
+Suggested conventions:
+
+- Start the filename with what you're testing: `test_<hypothesis>.py`,
+  `verify_<piece>.py`, `inspect_<region>.py`.
+- Print enough output that the reader can see exactly which events
+  match / diverge and where.
+- When a finding is solid, move the verified logic to
+  `minimateplus/waveform_codec.py` and add a regression test in
+  `tests/test_waveform_codec.py` — don't leave the truth only in
+  this directory.
+- If a script is fully superseded, leave it in place (don't delete) —
+  the fossil record is useful when re-evaluating hypotheses later.

analysis/brute_force.py

@@ -0,0 +1,93 @@
+"""Brute-force test channel permutations / nibble orders on event-d (simplest signal)."""
+import sys
+import itertools
+sys.path.insert(0, ".")
+from analysis.load_bundle import load_bundle
+from minimateplus.waveform_codec import walk_body
+
+
+def s4(n):
+    return n if n < 8 else n - 16
+
+
+def decode(body, channel_perm, nibble_order, sign_mode, init_from_header):
+    """Try one decoder configuration on event-d. Returns first 8 cumulative samples per channel."""
+    blocks = walk_body(body)
+    # Initial values from bytes [4:7] if init_from_header else 0
+    if init_from_header:
+        init = [body[4] if body[4] < 128 else body[4] - 256,
+                body[5] if body[5] < 128 else body[5] - 256,
+                body[6] if body[6] < 128 else body[6] - 256,
+                0]
+    else:
+        init = [0, 0, 0, 0]
+    cur = list(init)
+    out = [[init[0]], [init[1]], [init[2]], [init[3]]]  # sample 0 = init
+    nibble_idx = 0  # within delta stream; channel = channel_perm[nibble_idx % 4]
+
+    # Walk only the 10 NN data blocks
+    for blk in blocks:
+        if blk.tag_hi != 0x10:
+            continue
+        for byte in blk.data:
+            if nibble_order == 'high_first':
+                nib1, nib2 = (byte >> 4) & 0xF, byte & 0xF
+            else:
+                nib1, nib2 = byte & 0xF, (byte >> 4) & 0xF
+            for nib in (nib1, nib2):
+                if sign_mode == 'signed':
+                    delta = s4(nib)
+                else:
+                    delta = nib
+                ch = channel_perm[nibble_idx % 4]
+                cur[ch] += delta
+                if (nibble_idx + 1) % 4 == 0:
+                    out[0].append(cur[0])
+                    out[1].append(cur[1])
+                    out[2].append(cur[2])
+                    out[3].append(cur[3])
+                nibble_idx += 1
+                if len(out[0]) >= 16:
+                    return out
+    return out
+
+
+def best_match(pred, truth, n=10):
+    """Sum of squared differences in first n samples."""
+    n = min(n, len(pred), len(truth))
+    return sum((pred[i] - truth[i])**2 for i in range(n))
+
+
+def main():
+    b = load_bundle("event-d")
+    # truth in 16-count units
+    tr = {ch: [round(v * 200) for v in b.samples[ch]] for ch in ("Tran", "Vert", "Long")}
+
+    print("Truth event-d first 10 samples:")
+    for ch in ("Tran", "Vert", "Long"):
+        print(f"  {ch}: {tr[ch][:10]}")
+
+    # Test 96 combinations
+    best = []
+    for perm in itertools.permutations([0, 1, 2, 3]):
+        for nibble_order in ('high_first', 'low_first'):
+            for sign in ('signed', 'unsigned'):
+                for init_h in (False, True):
+                    decoded = decode(b.body, perm, nibble_order, sign, init_h)
+                    # Score as TVL channel-sum
+                    score = sum(
+                        best_match(decoded[i], tr[ch], n=10)
+                        for i, ch in enumerate(("Tran", "Vert", "Long"))
+                        if i < 3
+                    )
+                    label = f"perm={perm} nib={nibble_order[:1]} sign={sign[:3]} init={init_h}"
+                    best.append((score, label, decoded))
+
+    best.sort(key=lambda x: x[0])
+    print(f"\nTop 10 configurations:")
+    for s, lbl, dec in best[:10]:
+        print(f"  score={s:>5}  {lbl}  T={dec[0][:8]}  V={dec[1][:8]}  L={dec[2][:8]}")
+
+
+if __name__ == "__main__":
+    main()

analysis/compare_cd.py

@@ -0,0 +1,42 @@
+"""Compare event-c and event-d (same N_samples) to find header vs data bytes."""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import load_bundle
+
+
+def main():
+    bc = load_bundle("event-c")
+    bd = load_bundle("event-d")
+
+    # Compare prefixes
+    nc, nd = len(bc.body), len(bd.body)
+    n = min(nc, nd)
+    diffs = []
+    for i in range(n):
+        if bc.body[i] != bd.body[i]:
+            diffs.append(i)
+    print(f"event-c body={nc}, event-d body={nd}")
+    print(f"Total diffs (first {n}): {len(diffs)}")
+
+    # Show common prefix
+    same_prefix = 0
+    for i in range(n):
+        if bc.body[i] == bd.body[i]:
+            same_prefix += 1
+        else:
+            break
+    print(f"Common prefix length: {same_prefix}")
+    print(f"event-c prefix: {bc.body[:same_prefix].hex(' ')}")
+
+    # Look for runs of common bytes
+    print(f"\nFirst 32 diff positions: {diffs[:32]}")
+
+    # Show the "diff fingerprint" of the first 100 bytes
+    print(f"\n  pos    c     d")
+    for i in range(0, 100):
+        marker = " " if bc.body[i] == bd.body[i] else "*"
+        bd_b = bd.body[i] if i < nd else None
+        print(f"  {i:>3}  {bc.body[i]:02x}{marker}  {bd_b:02x}" if bd_b is not None else f"  {i:>3}  {bc.body[i]:02x}{marker}")
+
+if __name__ == "__main__":
+    main()

analysis/decode_v1.py

@@ -0,0 +1,99 @@
+"""
+Decoder v1: nibble-pair signed deltas in 10 NN blocks, 4-channel round-robin.
+"""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import load_bundle
+
+
+def s4(n):
+    return n if n < 8 else n - 16
+
+
+def walk_blocks(body, start):
+    i = start
+    blocks = []
+    while i + 1 < len(body):
+        t0, t1 = body[i], body[i + 1]
+        if t0 == 0x10 and t1 % 4 == 0 and 0 < t1 <= 0xFC:
+            length = t1 // 2 + 2
+            data = bytes(body[i + 2 : i + length])
+            blocks.append(("10", t1, data))
+            i += length
+        elif t0 == 0x20 and t1 % 4 == 0 and 0 < t1 <= 0xFC:
+            length = t1 + 2
+            data = bytes(body[i + 2 : i + length])
+            blocks.append(("20", t1, data))
+            i += length
+        elif t0 == 0x00 and t1 % 4 == 0:
+            blocks.append(("00", t1, b""))
+            i += 2
+        elif t0 == 0x30 and t1 % 4 == 0 and 0 < t1 <= 0x10:
+            length = t1 * 4
+            data = bytes(body[i + 2 : i + length])
+            blocks.append(("30", t1, data))
+            i += length
+        elif t0 == 0x40 and t1 == 0x02:
+            length = 20
+            data = bytes(body[i + 2 : i + length])
+            blocks.append(("40", t1, data))
+            i += length
+        else:
+            blocks.append(("??", t0, bytes(body[i:i+8])))
+            break
+    return blocks
+
+
+def decode_v1(body, start, n_samples):
+    """Decode by accumulating nibble-pair deltas from all 10 NN blocks."""
+    blocks = walk_blocks(body, start)
+    # 4 channels: T, V, L, M
+    cur = [0, 0, 0, 0]
+    out = [[], [], [], []]
+    sample_index = 0  # how many sample-sets emitted
+
+    for typ, NN, data in blocks:
+        if typ == "10":
+            # 2 nibbles per byte, round-robin TVLM
+            for byte in data:
+                for nib in ((byte >> 4) & 0xF, byte & 0xF):
+                    ch = sample_index % 4
+                    cur[ch] += s4(nib)
+                    out[ch].append(cur[ch])
+                    sample_index = (sample_index + 1) // 4 * 4 + (sample_index + 1) % 4  # ?
+                    sample_index += 1
+                    # We emit per-nibble, but the structure is unclear
+        elif typ == "20":
+            # int8 absolute or delta?
+            for byte in data:
+                v = byte if byte < 128 else byte - 256
+                ch = sample_index % 4
+                cur[ch] = v  # treat as absolute
+                out[ch].append(cur[ch])
+                sample_index += 1
+    return out
+
+
+def main():
+    b = load_bundle("event-c")
+    body = b.body
+    truth_T = [round(v * 200) for v in b.samples["Tran"]]
+    truth_V = [round(v * 200) for v in b.samples["Vert"]]
+    truth_L = [round(v * 200) for v in b.samples["Long"]]
+
+    # Find start
+    for s in range(15):
+        if body[s] == 0x10 and body[s+1] % 4 == 0 and 0 < body[s+1] <= 0xFC:
+            start = s
+            break
+
+    blocks = walk_blocks(body, start)
+    # Print block-by-block what's in each
+    print(f"Total blocks: {len(blocks)}")
+    bytes_processed = 0
+    for typ, NN, data in blocks[:30]:
+        print(f"  type={typ} NN=0x{NN:02x} data_len={len(data)} data_hex={data[:32].hex(' ')}{'...' if len(data) > 32 else ''}")
+
+
+if __name__ == "__main__":
+    main()

analysis/dump_around.py

@@ -0,0 +1,27 @@
+"""Dump body bytes around a specific offset."""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import load_bundle
+
+
+def dump_around(name: str, center: int, radius: int = 96):
+    b = load_bundle(name)
+    body = b.body
+    start = max(0, center - radius)
+    end = min(len(body), center + radius)
+    print(f"\n=== {name} body[{start}:{end}] (full body={len(body)}) ===")
+    for i in range(start, end, 32):
+        row = body[i:i+32]
+        marker = "  <-- center" if i <= center < i+32 else ""
+        print(f"  +{i:>5}  {row.hex(' ')}{marker}")
+
+
+def main():
+    # Look at the trailer transitions
+    trailer_starts = {"event-a": 7047, "event-b": 6475, "event-c": 4043, "event-d": 3941}
+    for name, off in trailer_starts.items():
+        dump_around(name, off, 96)
+
+
+if __name__ == "__main__":
+    main()

analysis/dump_head.py

@@ -0,0 +1,18 @@
+"""Dump the START of each body in 32-byte rows."""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import load_bundle
+
+
+def main():
+    for name in ("event-a", "event-c"):
+        b = load_bundle(name)
+        body = b.body
+        print(f"\n=== {name} body[0:512] (full body={len(body)}, samples={len(b.samples['Tran'])}) ===")
+        for i in range(0, min(512, len(body)), 32):
+            row = body[i:i+32]
+            print(f"  +{i:>5}  {row.hex(' ')}")
+
+
+if __name__ == "__main__":
+    main()

analysis/dump_trailer.py

@@ -0,0 +1,24 @@
+"""Dump body bytes split into 32-byte rows starting from `start_offset`."""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import load_bundle
+
+
+def dump(body: bytes, name: str, start: int, n_rows: int = 30):
+    print(f"\n=== {name} body[{start}:] (full body={len(body)}) ===")
+    end = min(start + 32 * n_rows, len(body))
+    for i in range(start, end, 32):
+        row = body[i:i+32]
+        print(f"  +{i:>5}  {row.hex(' ')}")
+
+
+def main():
+    for name in ("event-a", "event-b", "event-c", "event-d"):
+        b = load_bundle(name)
+        # Print the LAST ~600 bytes of the body to see the tail structure
+        start = max(0, len(b.body) - 32 * 12)
+        dump(b.body, name, start, 12)
+
+
+if __name__ == "__main__":
+    main()

analysis/find_blocks.py

@@ -0,0 +1,41 @@
+"""Search for structural repetition in the body bytes."""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import load_bundle
+
+
+def find_pattern_offsets(body: bytes, pattern: bytes, max_count=20):
+    out = []
+    i = 0
+    while True:
+        i = body.find(pattern, i)
+        if i < 0:
+            break
+        out.append(i)
+        i += 1
+        if len(out) >= max_count:
+            break
+    return out
+
+
+def main():
+    for name in ("event-a", "event-b", "event-c", "event-d"):
+        b = load_bundle(name)
+        body = b.body
+        print(f"\n=== {name} (body={len(body)}, N_samples={len(b.samples['Tran'])}) ===")
+
+        # Try to find repeating substructures (look for 4-byte 0x10-prefixed markers)
+        for prefix in [b"\x10\x10", b"\x10\x04", b"\x10\x08", b"\x10\x0c", b"\x10\x18",
+                       b"\x10\x14", b"\x10\x20", b"\x10\x40", b"\x10\x80", b"\x10\x00",
+                       b"\x10\x01", b"\x10\x03", b"\x10\xf0", b"\xf1\x10", b"\x00\x10",
+                       b"\x40\x02", b"\x20\x04", b"\x30\x04", b"\x30\x08", b"\x00\x1a"]:
+            offs = find_pattern_offsets(body, prefix, max_count=200)
+            if 1 <= len(offs) <= 1000:
+                # Print first 10 offsets
+                first = offs[:6]
+                last = offs[-3:]
+                print(f"  '{prefix.hex()}' x{len(offs):>4}  first={first} last={last}")
+
+
+if __name__ == "__main__":
+    main()

analysis/find_signal_runs.py

@@ -0,0 +1,34 @@
+"""Find body byte ranges that look like absolute int8 sample data (smooth waveform)."""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import load_bundle
+
+
+def looks_like_smooth_int8(buf):
+    """Convert bytes to int8 and check if successive deltas are small (waveform-like)."""
+    if len(buf) < 8:
+        return 0.0
+    vals = [b if b < 128 else b - 256 for b in buf]
+    diffs = [abs(vals[i+1] - vals[i]) for i in range(len(vals)-1)]
+    avg_diff = sum(diffs) / len(diffs)
+    return avg_diff
+
+
+def main():
+    for name in ("event-a", "event-c"):
+        b = load_bundle(name)
+        body = b.body
+        # Scan with sliding window of 64 bytes; find segments where the bytes look like a smooth wave
+        win = 64
+        scores = []
+        for i in range(len(body) - win):
+            scores.append((i, looks_like_smooth_int8(body[i:i+win])))
+        # Lowest avg_diff means smoothest
+        scores.sort(key=lambda x: x[1])
+        print(f"\n=== {name} (body={len(body)}) — smoothest 10 windows ===")
+        for off, s in scores[:10]:
+            print(f"  +{off:>5}  avg_diff={s:.2f}  bytes={body[off:off+24].hex(' ')}")
+
+
+if __name__ == "__main__":
+    main()

analysis/full_tran.py

@@ -0,0 +1,76 @@
+"""Full Tran decoder: continues across segment headers using T_delta from header bytes [0:2]."""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import _parse_txt
+from minimateplus.waveform_codec import walk_body, find_data_start
+
+
+def s4(n):
+    return n if n < 8 else n - 16
+
+
+def i8(b):
+    return b if b < 128 else b - 256
+
+
+def decode_full_tran(body):
+    if len(body) < 7 or body[0:3] != b"\x00\x02\x00":
+        return None
+    T0 = int.from_bytes(body[3:5], "big", signed=True)
+    T1 = int.from_bytes(body[5:7], "big", signed=True)
+
+    i = 7
+    while i + 1 < len(body) and body[i] not in (0x00, 0x10, 0x20, 0x30, 0x40):
+        i += 1
+
+    blocks = walk_body(body, i)
+    T = [T0, T1]
+    cur = T1
+    for blk in blocks:
+        if blk.tag_hi == 0x40:
+            # Segment header carries 2 T deltas (int16 BE each) at bytes [0:2] and [2:4]
+            if len(blk.data) >= 4:
+                delta1 = int.from_bytes(blk.data[0:2], "big", signed=True)
+                cur += delta1
+                T.append(cur)
+                delta2 = int.from_bytes(blk.data[2:4], "big", signed=True)
+                cur += delta2
+                T.append(cur)
+        elif blk.tag_hi == 0x10:
+            for byte in blk.data:
+                for nib in ((byte >> 4) & 0xF, byte & 0xF):
+                    cur += s4(nib)
+                    T.append(cur)
+        elif blk.tag_hi == 0x20:
+            for byte in blk.data:
+                cur += i8(byte)
+                T.append(cur)
+        elif blk.tag_hi == 0x00:
+            for _ in range(blk.tag_lo):
+                T.append(cur)
+        # 30 NN: skip for now
+    return T
+
+
+def main():
+    for stem in ("M529LL1L.V70", "M529LL1L.JQ0", "M529LL1A.SP0", "M529LL1A.SS0", "M529LL1A.SV0"):
+        path = f"tests/fixtures/5-11-26/{stem}"
+        with open(path, "rb") as f:
+            body = f.read()[43:-26]
+        _, samples = _parse_txt(path + ".TXT")
+        truth_T = [round(v*200) for v in samples["Tran"]]
+        n_truth = len(truth_T)
+
+        decoded = decode_full_tran(body)
+        n = min(len(decoded), n_truth)
+        matches = sum(1 for i in range(n) if decoded[i] == truth_T[i])
+        div_at = -1
+        for i in range(n):
+            if decoded[i] != truth_T[i]:
+                div_at = i
+                break
+        print(f"{stem}: decoded={len(decoded)}, truth={n_truth}, matches={matches}/{n}, first div={div_at}")
+
+
+if __name__ == "__main__":
+    main()

analysis/inspect_5_11.py

@@ -0,0 +1,50 @@
+"""Quick inspection of the new high-amplitude events."""
+import os, re, sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import _parse_txt
+from minimateplus.waveform_codec import walk_body, find_data_start
+
+ROOT = "tests/fixtures/5-11-26"
+
+
+def main():
+    for stem in ("M529LL1A.SP0", "M529LL1A.SS0", "M529LL1A.SV0"):
+        bin_path = os.path.join(ROOT, stem)
+        txt_path = bin_path + ".TXT"
+        with open(bin_path, "rb") as f:
+            raw = f.read()
+        body = raw[43:-26]
+        meta, samples = _parse_txt(txt_path)
+        n = len(samples["Tran"])
+
+        print(f"\n=== {stem} ===")
+        print(f"  file={len(raw)}, body={len(body)}, N_samples={n}")
+        print(f"  rectime={meta.get('Record Time')} pretrig={meta.get('Pre-trigger Length')}")
+        print(f"  PPV(T,V,L)={meta.get('Tran PPV')} / {meta.get('Vert PPV')} / {meta.get('Long PPV')}")
+        # Show first few non-trivial samples
+        print(f"  First 5 truth samples (in/s):")
+        for i in range(5):
+            print(f"    T={samples['Tran'][i]:8.3f}  V={samples['Vert'][i]:8.3f}  "
+                  f"L={samples['Long'][i]:8.3f}  M={samples['MicL'][i]:8.3f}")
+        # Peak sample positions
+        for ch in ("Tran", "Vert", "Long"):
+            vals = samples[ch]
+            peak_i = max(range(n), key=lambda i: abs(vals[i]))
+            print(f"  {ch}: peak {vals[peak_i]:.3f} at sample {peak_i} (t={peak_i/1024:.3f}s)")
+        # Body structure
+        start = find_data_start(body)
+        blocks = walk_body(body, start)
+        types = {}
+        for b in blocks:
+            types[b.tag_hi] = types.get(b.tag_hi, 0) + 1
+        print(f"  body start={start}, total blocks walked: {len(blocks)}")
+        print(f"  block tag counts: {types}")
+        # How far the walker got
+        if blocks:
+            last = blocks[-1]
+            walked = last.offset + last.length
+            print(f"  walker stopped at offset {walked}/{len(body)} ({100*walked/len(body):.0f}%)")
+
+
+if __name__ == "__main__":
+    main()

analysis/inspect_body.py

@@ -0,0 +1,23 @@
+"""Print raw body hex + byte-distribution stats for one event."""
+from collections import Counter
+import sys
+
+sys.path.insert(0, ".")
+from analysis.load_bundle import load_bundle
+
+
+def main():
+    for name in ("event-a", "event-b", "event-c", "event-d"):
+        b = load_bundle(name)
+        body = b.body
+        print(f"\n=== {name} ({len(body)} body bytes) ===")
+        print(f"  STRT: {b.strt.hex()}")
+        print(f"  body[0:64]:   {body[:64].hex()}")
+        print(f"  body[64:128]: {body[64:128].hex()}")
+        print(f"  body[-32:]:   {body[-32:].hex()}")
+        cnt = Counter(body)
+        print(f"  top 16 bytes: {[(f'0x{k:02x}', f'{v/len(body):.2%}') for k,v in cnt.most_common(16)]}")
+
+
+if __name__ == "__main__":
+    main()

analysis/load_bundle.py

@@ -0,0 +1,144 @@
+"""
+load_bundle.py — extract body bytes from BW binary + parse sample columns from TXT.
+
+Used by the codec reverse-engineering scripts in this directory.
+"""
+from __future__ import annotations
+
+import os
+import re
+from dataclasses import dataclass
+
+
+BUNDLE_ROOT = os.path.join(
+    os.path.dirname(__file__), "..", "tests", "fixtures", "decode-re-5-8-26"
+)
+
+
+@dataclass
+class Bundle:
+    name: str
+    bin_path: str
+    txt_path: str
+    bin: bytes
+    body: bytes  # bytes between STRT (43) and footer (last 26)
+    strt: bytes  # 21-byte STRT record
+    samples: dict  # {"Tran": [...], "Vert": [...], "Long": [...], "MicL": [...]}
+    sample_rate: int
+    rectime_sec: float
+    pretrig_sec: float
+    geo_range_ips: float
+    ppv: dict  # {"Tran": float, "Vert": float, "Long": float}
+    mic_pspl: float
+    serial: str
+
+
+def _parse_txt(path: str) -> dict:
+    with open(path, "r", encoding="utf-8", errors="replace") as f:
+        text = f.read()
+
+    meta = {}
+    samples = {"Tran": [], "Vert": [], "Long": [], "MicL": []}
+
+    # Find header line that starts the columns ("Tran   Vert   Long   MicL").
+    # Then every line after is sample data (4 tab-separated floats).
+    lines = text.splitlines()
+    header_idx = None
+    for i, line in enumerate(lines):
+        if "Tran" in line and "Vert" in line and "Long" in line and "MicL" in line:
+            # The columns header.  Sample lines start a few lines later.
+            header_idx = i
+            break
+    if header_idx is None:
+        raise ValueError(f"no Tran/Vert/Long/MicL header in {path}")
+
+    # Parse meta — quoted lines with "Field : value"
+    for line in lines[:header_idx]:
+        m = re.match(r'^"([^"]+)\s*:\s*([^"]*)"', line.strip())
+        if m:
+            k, v = m.group(1).strip(), m.group(2).strip()
+            meta[k] = v
+
+    # Parse samples
+    for line in lines[header_idx + 1 :]:
+        line = line.strip()
+        if not line:
+            continue
+        parts = re.split(r"\s+", line)
+        if len(parts) < 4:
+            continue
+        try:
+            t = float(parts[0])
+            v = float(parts[1])
+            l = float(parts[2])
+            m = float(parts[3])
+        except ValueError:
+            continue
+        samples["Tran"].append(t)
+        samples["Vert"].append(v)
+        samples["Long"].append(l)
+        samples["MicL"].append(m)
+
+    return meta, samples
+
+
+def load_bundle(name: str) -> Bundle:
+    folder = os.path.join(BUNDLE_ROOT, name)
+    files = os.listdir(folder)
+    bin_name = next(f for f in files if not f.endswith(".TXT"))
+    txt_name = next(f for f in files if f.endswith(".TXT"))
+
+    bin_path = os.path.join(folder, bin_name)
+    txt_path = os.path.join(folder, txt_name)
+
+    with open(bin_path, "rb") as f:
+        binary = f.read()
+
+    # Header is 22 bytes; STRT at [22:43]; footer at last 26 bytes.
+    strt = binary[22:43]
+    body = binary[43:-26]
+
+    meta, samples = _parse_txt(txt_path)
+
+    sample_rate = int(re.search(r"(\d+)", meta.get("Sample Rate", "1024")).group(1))
+    rectime_sec = float(re.search(r"([\d.]+)", meta.get("Record Time", "3.0")).group(1))
+    pretrig_sec = float(re.search(r"-?[\d.]+", meta.get("Pre-trigger Length", "0")).group(0))
+    geo_range_ips = float(re.search(r"([\d.]+)", meta.get("Geo Range", "10.0")).group(1))
+    serial = meta.get("Serial Number", "").strip()
+
+    def _f(s):
+        return float(re.search(r"-?[\d.]+", s).group(0))
+
+    ppv = {
+        "Tran": _f(meta.get("Tran PPV", "0")),
+        "Vert": _f(meta.get("Vert PPV", "0")),
+        "Long": _f(meta.get("Long PPV", "0")),
+    }
+    mic_pspl = _f(meta.get("MicL PSPL", "0"))
+
+    return Bundle(
+        name=name,
+        bin_path=bin_path,
+        txt_path=txt_path,
+        bin=binary,
+        body=body,
+        strt=strt,
+        samples=samples,
+        sample_rate=sample_rate,
+        rectime_sec=rectime_sec,
+        pretrig_sec=pretrig_sec,
+        geo_range_ips=geo_range_ips,
+        ppv=ppv,
+        mic_pspl=mic_pspl,
+        serial=serial,
+    )
+
+
+if __name__ == "__main__":
+    for name in ("event-a", "event-b", "event-c", "event-d"):
+        b = load_bundle(name)
+        n = len(b.samples["Tran"])
+        print(f"{name}: body={len(b.body):>6}  N_samples={n}  rate={b.sample_rate}  "
+              f"rectime={b.rectime_sec}  pretrig={b.pretrig_sec}  range={b.geo_range_ips}  "
+              f"PPV(T,V,L)={b.ppv['Tran']:.3f},{b.ppv['Vert']:.3f},{b.ppv['Long']:.3f}  "
+              f"MicL={b.mic_pspl}")

analysis/multi_segment.py

@@ -0,0 +1,81 @@
+"""Decode Tran across multiple segments by resetting at 40 02 headers."""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import _parse_txt
+from minimateplus.waveform_codec import walk_body, find_data_start
+
+
+def s4(n):
+    return n if n < 8 else n - 16
+
+
+def i8(b):
+    return b if b < 128 else b - 256
+
+
+def decode_full_tran(body):
+    """Decode all Tran samples in the body, walking through segments."""
+    if len(body) < 7 or body[0:3] != b"\x00\x02\x00":
+        return None
+    T0 = int.from_bytes(body[3:5], "big", signed=True)
+    T1 = int.from_bytes(body[5:7], "big", signed=True)
+
+    # Locate first tag
+    i = 7
+    while i + 1 < len(body) and body[i] not in (0x00, 0x10, 0x20, 0x30, 0x40):
+        i += 1
+
+    blocks = walk_body(body, i)
+    T = [T0, T1]
+    cur = T1
+    for bi, blk in enumerate(blocks):
+        if blk.tag_hi == 0x40:
+            # Segment header — try interpreting bytes [0:2] as new T anchor
+            if len(blk.data) >= 2:
+                new_anchor = int.from_bytes(blk.data[0:2], "big", signed=True)
+                # The next sample IS this anchor value, NOT a delta from cur.
+                T.append(new_anchor)
+                cur = new_anchor
+        elif blk.tag_hi == 0x10:
+            for byte in blk.data:
+                for nib in ((byte >> 4) & 0xF, byte & 0xF):
+                    cur += s4(nib)
+                    T.append(cur)
+        elif blk.tag_hi == 0x20:
+            for byte in blk.data:
+                cur += i8(byte)
+                T.append(cur)
+        elif blk.tag_hi == 0x00:
+            # RLE: append NN zero deltas
+            for _ in range(blk.tag_lo):
+                T.append(cur)
+        # 30 NN: skip
+    return T
+
+
+def main():
+    for stem in ("M529LL1L.V70", "M529LL1L.JQ0", "M529LL1A.SP0", "M529LL1A.SS0", "M529LL1A.SV0"):
+        path = f"tests/fixtures/5-11-26/{stem}"
+        with open(path, "rb") as f:
+            body = f.read()[43:-26]
+        _, samples = _parse_txt(path + ".TXT")
+        truth_T = [round(v*200) for v in samples["Tran"]]
+        n_truth = len(truth_T)
+
+        decoded = decode_full_tran(body)
+        n = min(len(decoded), n_truth)
+        matches = sum(1 for i in range(n) if decoded[i] == truth_T[i])
+        # Find first divergence
+        div_at = -1
+        for i in range(n):
+            if decoded[i] != truth_T[i]:
+                div_at = i
+                break
+        print(f"{stem}: decoded={len(decoded)}, truth={n_truth}, matches={matches}/{n}, first div={div_at}")
+        if div_at >= 0 and div_at < 30:
+            print(f"  truth around div [{max(0,div_at-3)}:{div_at+8}]: {truth_T[max(0,div_at-3):div_at+8]}")
+            print(f"  pred  around div [{max(0,div_at-3)}:{div_at+8}]: {decoded[max(0,div_at-3):div_at+8]}")
+
+
+if __name__ == "__main__":
+    main()

analysis/seg1_blocks.py

@@ -0,0 +1,28 @@
+"""Dump all blocks in segment 1 of each event with their data."""
+import sys
+sys.path.insert(0, ".")
+from minimateplus.waveform_codec import walk_body, find_data_start
+
+
+def main():
+    for stem in ("M529LL1A.SP0", "M529LL1L.JQ0", "M529LL1L.V70"):
+        path = f"tests/fixtures/5-11-26/{stem}"
+        with open(path, "rb") as f:
+            body = f.read()[43:-26]
+        blocks = walk_body(body, find_data_start(body))
+
+        # Find segment 1 (between first and second 40 02)
+        seg40_indices = [i for i, b in enumerate(blocks) if b.tag_hi == 0x40]
+        if len(seg40_indices) < 2:
+            print(f"\n{stem}: only {len(seg40_indices)} segment headers found")
+            seg1_blocks = blocks[seg40_indices[0]:] if seg40_indices else []
+        else:
+            seg1_blocks = blocks[seg40_indices[0]:seg40_indices[1]+1]
+        print(f"\n=== {stem} segment 1 ({len(seg1_blocks)} blocks) ===")
+        for b in seg1_blocks[:25]:
+            tag = f"{b.tag_hi:02x}{b.tag_lo:02x}"
+            print(f"  off={b.offset:>5} {tag} NN=0x{b.tag_lo:02x}({b.tag_lo:>3}) len={b.length:>3}  data={b.data[:16].hex(' ')}{'...' if len(b.data)>16 else ''}")
+
+
+if __name__ == "__main__":
+    main()

analysis/test_30nn_12bit.py

@@ -0,0 +1,195 @@
+"""Test 12-bit signed packed deltas hypothesis for 30 NN blocks across all loud events.
+
+For each 30 NN block in each event, identify what samples it should cover
+(based on the cumulative delta count up to that point) and compare the
+truth deltas against various 12-bit packing schemes.
+"""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import _parse_txt
+from minimateplus.waveform_codec import walk_body, find_data_start
+
+
+CHANNEL_ORDER = ["Vert", "Long", "MicL", "Tran"]  # rotation after initial T
+
+
+def s12(v):
+    """Sign-extend a 12-bit unsigned value to signed int."""
+    return v if v < 0x800 else v - 0x1000
+
+
+def unpack_12bit_be(data):
+    """4 deltas in 6 bytes, BE order: byte[0:1.5], byte[1.5:3], byte[3:4.5], byte[4.5:6]."""
+    # bits 0..47 (MSB-first), split into 4 × 12-bit
+    val = int.from_bytes(data, "big")
+    out = []
+    for i in range(4):
+        d = (val >> (12 * (3 - i))) & 0xFFF
+        out.append(s12(d))
+    return out
+
+
+def unpack_12bit_le(data):
+    """4 deltas in 6 bytes, LE order: bytes packed as 2 × 24-bit groups."""
+    out = []
+    # First 3 bytes contain 2 deltas
+    b0, b1, b2 = data[0], data[1], data[2]
+    d0 = b0 | ((b1 & 0x0F) << 8)
+    d1 = (b1 >> 4) | (b2 << 4)
+    out.append(s12(d0))
+    out.append(s12(d1))
+    # Next 3 bytes contain 2 more deltas
+    b3, b4, b5 = data[3], data[4], data[5]
+    d2 = b3 | ((b4 & 0x0F) << 8)
+    d3 = (b4 >> 4) | (b5 << 4)
+    out.append(s12(d2))
+    out.append(s12(d3))
+    return out
+
+
+def unpack_12bit_be_per_triplet(data):
+    """4 deltas as 2 triplets of (high4, low8) BE within each 3-byte group."""
+    out = []
+    b0, b1, b2 = data[0], data[1], data[2]
+    d0 = (b0 << 4) | (b1 >> 4)
+    d1 = ((b1 & 0x0F) << 8) | b2
+    out.append(s12(d0))
+    out.append(s12(d1))
+    b3, b4, b5 = data[3], data[4], data[5]
+    d2 = (b3 << 4) | (b4 >> 4)
+    d3 = ((b4 & 0x0F) << 8) | b5
+    out.append(s12(d2))
+    out.append(s12(d3))
+    return out
+
+
+def truth_deltas_for_block(blocks, block_idx, event_truth, channel):
+    """For a 30 NN block at block_idx, determine which samples it covers and
+    return the truth deltas for those samples.
+
+    Walks through all blocks before block_idx (within the same segment) and
+    counts how many deltas have been emitted for *channel*, starting from the
+    segment's anchor pair.
+    """
+    # Find the segment header that contains this block.
+    seg_header_idx = None
+    for j in range(block_idx, -1, -1):
+        if blocks[j].tag_hi == 0x40:
+            seg_header_idx = j
+            break
+    if seg_header_idx is None:
+        # block is in the initial T segment; samples count from sample 2.
+        first_sample_in_segment = 2
+    else:
+        # Anchor pair covers samples [N, N+1] for some N.  Subsequent deltas
+        # are samples [N+2, N+2+1, ...].  We don't actually need to know N
+        # for this test — just the relative position within the segment.
+        first_sample_in_segment = 2  # anchor=0,1; deltas start at 2
+
+    # Count deltas from segment-data start to block_idx.
+    delta_count = 0
+    start_block = seg_header_idx + 1 if seg_header_idx is not None else 0
+    for j in range(start_block, block_idx):
+        blk = blocks[j]
+        if blk.tag_hi == 0x10:
+            delta_count += blk.tag_lo  # NN nibbles = NN deltas
+        elif blk.tag_hi == 0x20:
+            delta_count += blk.tag_lo  # NN int8 deltas
+        elif blk.tag_hi == 0x00:
+            delta_count += blk.tag_lo  # RLE zero deltas
+    # Now the 30 NN block carries NN deltas.
+    nn = blocks[block_idx].tag_lo
+    # First sample affected: segment first_sample + delta_count.
+    # But we ALSO need to know which segment this is, since the segment maps
+    # to a specific channel and a specific starting absolute sample index.
+    return first_sample_in_segment + delta_count, nn
+
+
+def main():
+    for stem in ("M529LL1A.SP0", "M529LL1L.JQ0", "M529LL1L.V70",
+                 "M529LL1A.SS0", "M529LL1A.SV0"):
+        path = f"tests/fixtures/5-11-26/{stem}"
+        with open(path, "rb") as f:
+            body = f.read()[43:-26]
+        _, samples = _parse_txt(path + ".TXT")
+        blocks = walk_body(body, find_data_start(body))
+        seg_idx = [i for i, b in enumerate(blocks) if b.tag_hi == 0x40]
+
+        # Find all 30 NN blocks in DATA section (not trailer).
+        thirty_blocks = []
+        for bi, b in enumerate(blocks):
+            if b.tag_hi != 0x30:
+                continue
+            # Determine which segment this is in
+            seg_num = None
+            for k, hi in enumerate(seg_idx):
+                next_hi = seg_idx[k + 1] if k + 1 < len(seg_idx) else len(blocks)
+                if hi < bi < next_hi:
+                    seg_num = k
+                    break
+            if seg_num is None and seg_idx and bi < seg_idx[0]:
+                seg_num = -1  # initial T segment
+            thirty_blocks.append((bi, b, seg_num))
+
+        if not thirty_blocks:
+            continue
+
+        print(f"\n=== {stem} ===")
+        for bi, b, seg_num in thirty_blocks:
+            # Channel for this segment
+            if seg_num == -1:
+                channel = "Tran"
+                seg_label = "initial T"
+            else:
+                channel = CHANNEL_ORDER[seg_num % 4]
+                seg_label = f"seg {seg_num}"
+
+            # Count deltas before this block within the same segment.
+            seg_header_idx = seg_idx[seg_num] if seg_num >= 0 else -1
+            start_block = seg_header_idx + 1 if seg_header_idx >= 0 else 0
+            delta_count = 0
+            for j in range(start_block, bi):
+                blk = blocks[j]
+                if blk.tag_hi in (0x10, 0x20, 0x00):
+                    delta_count += blk.tag_lo
+
+            # First sample this 30 NN block affects (within the segment)
+            # = anchor positions + delta_count + 2 (since anchor pair was samples 0,1)
+            # But the segment's first absolute sample index in the channel is
+            # (seg_num // 4) * 512 (approximately) if segment 0 is the first V seg.
+            cycle = (seg_num // 4) if seg_num >= 0 else 0
+            base = cycle * 512 + 2  # +2 for anchor pair
+            sample_idx = base + delta_count
+            truth_ch = [round(v * 200) for v in samples[channel]]
+            nn = b.tag_lo
+
+            if sample_idx + nn >= len(truth_ch):
+                print(f"  block @ {b.offset} ({seg_label} {channel}): out of truth range")
+                continue
+
+            # Get the previous sample so we can compute truth deltas
+            if sample_idx == 0:
+                prev = 0
+            else:
+                prev = truth_ch[sample_idx - 1]
+            truth_deltas = []
+            for k in range(nn):
+                truth_deltas.append(truth_ch[sample_idx + k] - (prev if k == 0 else truth_ch[sample_idx + k - 1]))
+
+            # Try each packing
+            schemes = [
+                ("12-bit BE contiguous", unpack_12bit_be(b.data)),
+                ("12-bit LE per-triplet", unpack_12bit_le(b.data)),
+                ("12-bit BE per-triplet", unpack_12bit_be_per_triplet(b.data)),
+            ]
+            print(f"  block @ {b.offset:>5} ({seg_label} {channel}, samples {sample_idx}..{sample_idx+nn-1}):")
+            print(f"    data:  {b.data.hex(' ')}")
+            print(f"    truth: {truth_deltas}")
+            for name, pred in schemes:
+                match = "✓" if pred == truth_deltas else " "
+                n_match = sum(1 for x, y in zip(pred, truth_deltas) if x == y)
+                print(f"    {match}{n_match}/4  {name}: {pred}")
+
+
+if __name__ == "__main__":
+    main()

analysis/test_30nn_hybrid.py

@@ -0,0 +1,132 @@
+"""Test the '30 NN data = high-nibbles + int8 low-bytes' hypothesis.
+
+Layout for `30 04` (6 data bytes, 4 deltas):
+  bytes [0:2] = 16 bits = 4 × 4-bit high-nibbles (MSB first)
+  bytes [2:6] = 4 × int8 low bytes
+  Each delta = 12-bit signed = sign-extend((high_nibble << 8) | low_byte)
+"""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import _parse_txt
+from minimateplus.waveform_codec import walk_body, find_data_start
+
+
+def s4(n):
+    return n if n < 8 else n - 16
+
+
+def i8(b):
+    return b if b < 128 else b - 256
+
+
+def sign_extend_12(v):
+    return v if v < 0x800 else v - 0x1000
+
+
+def decode_30nn(data):
+    """4 × 12-bit signed deltas (high nibble + low byte).
+    bytes[0:2] hold the 4 high nibbles (MSB first); bytes[2:6] hold the low bytes.
+    """
+    if len(data) < 6:
+        return []
+    # Read high nibbles from bytes 0-1 (4 nibbles MSB-first)
+    high_word = (data[0] << 8) | data[1]
+    high_nibbles = [
+        (high_word >> 12) & 0xF,
+        (high_word >> 8) & 0xF,
+        (high_word >> 4) & 0xF,
+        high_word & 0xF,
+    ]
+    out = []
+    for i in range(4):
+        v = (high_nibbles[i] << 8) | data[2 + i]
+        out.append(sign_extend_12(v))
+    return out
+
+
+def simulate_up_to(blocks, target_block_idx, t_preamble):
+    """Run decoder up to block_idx; return per-channel sample lists.
+    NOW with 30 NN decoded too."""
+    out = {"Tran": [], "Vert": [], "Long": [], "MicL": []}
+    out["Tran"].extend(t_preamble)
+    cur = {"Tran": t_preamble[-1], "Vert": None, "Long": None, "MicL": None}
+    rotation = ["Vert", "Long", "MicL", "Tran"]
+    current_channel = "Tran"
+    seg_counter = -1
+    for j in range(target_block_idx):
+        blk = blocks[j]
+        if blk.tag_hi == 0x40:
+            seg_counter += 1
+            prev = "Tran" if seg_counter == 0 else rotation[(seg_counter - 1) % 4]
+            new_ch = rotation[seg_counter % 4]
+            if cur[prev] is not None:
+                d0 = int.from_bytes(blk.data[0:2], "big", signed=True)
+                d1 = int.from_bytes(blk.data[2:4], "big", signed=True)
+                cur[prev] += d0; out[prev].append(cur[prev])
+                cur[prev] += d1; out[prev].append(cur[prev])
+            c0 = int.from_bytes(blk.data[14:16], "big", signed=True)
+            c1 = int.from_bytes(blk.data[16:18], "big", signed=True)
+            out[new_ch].extend([c0, c1])
+            cur[new_ch] = c1
+            current_channel = new_ch
+        elif blk.tag_hi == 0x10:
+            for byte in blk.data:
+                for nib in ((byte >> 4) & 0xF, byte & 0xF):
+                    cur[current_channel] += s4(nib)
+                    out[current_channel].append(cur[current_channel])
+        elif blk.tag_hi == 0x20:
+            for byte in blk.data:
+                cur[current_channel] += i8(byte)
+                out[current_channel].append(cur[current_channel])
+        elif blk.tag_hi == 0x00:
+            for _ in range(blk.tag_lo):
+                out[current_channel].append(cur[current_channel])
+        elif blk.tag_hi == 0x30:
+            # NEW: decode 30 NN
+            deltas = decode_30nn(blk.data)
+            for d in deltas:
+                cur[current_channel] += d
+                out[current_channel].append(cur[current_channel])
+    return out, current_channel
+
+
+def main():
+    for stem in ("M529LL1A.SP0", "M529LL1L.JQ0", "M529LL1L.V70",
+                 "M529LL1A.SS0", "M529LL1A.SV0"):
+        path = f"tests/fixtures/5-11-26/{stem}"
+        with open(path, "rb") as f:
+            body = f.read()[43:-26]
+        _, samples = _parse_txt(path + ".TXT")
+        blocks = walk_body(body, find_data_start(body))
+        t0 = int.from_bytes(body[3:5], "big", signed=True)
+        t1 = int.from_bytes(body[5:7], "big", signed=True)
+        thirty_blocks = [(j, b) for j, b in enumerate(blocks) if b.tag_hi == 0x30]
+        if not thirty_blocks:
+            continue
+        print(f"\n=== {stem} ===")
+        for j, blk in thirty_blocks:
+            pred, ch = simulate_up_to(blocks, j, [t0, t1])
+            cur_before = pred[ch][-1]
+            truth = [round(v * 200) for v in samples[ch]]
+            n_pred = len(pred[ch])
+            nn = blk.tag_lo
+            if n_pred + nn > len(truth):
+                continue
+            # Decode this 30 NN block with hypothesis
+            pred_deltas = decode_30nn(blk.data)
+            # Compute truth deltas relative to cur_before
+            truth_deltas = []
+            prev = cur_before
+            for k in range(nn):
+                truth_deltas.append(truth[n_pred + k] - prev)
+                prev = truth[n_pred + k]
+            n_match = sum(1 for a, b in zip(pred_deltas, truth_deltas) if a == b)
+            tag = "✓" if pred_deltas == truth_deltas else " "
+            print(f"  block @ {blk.offset:>5} (chan={ch}, NN={nn}):")
+            print(f"    data:  {blk.data.hex(' ')}")
+            print(f"    truth: {truth_deltas}")
+            print(f"    pred:  {pred_deltas}  {tag}{n_match}/{nn}")
+
+
+if __name__ == "__main__":
+    main()

analysis/test_30nn_v2.py

@@ -0,0 +1,141 @@
+"""Test 30 NN packing by running the real decoder up to each 30 NN block,
+recording how many samples have been produced for each channel at that point,
+then checking truth deltas immediately after."""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import _parse_txt
+from minimateplus.waveform_codec import walk_body, find_data_start
+
+
+def s4(n):
+    return n if n < 8 else n - 16
+
+
+def i8(b):
+    return b if b < 128 else b - 256
+
+
+def s12(v):
+    return v if v < 0x800 else v - 0x1000
+
+
+def unpack_12bit_be_contiguous(data):
+    out = []
+    val = int.from_bytes(data, "big")
+    n = len(data) * 8 // 12
+    for i in range(n):
+        d = (val >> (12 * (n - 1 - i))) & 0xFFF
+        out.append(s12(d))
+    return out
+
+
+def unpack_12bit_per_triplet_be(data):
+    out = []
+    for i in range(0, len(data), 3):
+        if i + 2 >= len(data):
+            break
+        b0, b1, b2 = data[i], data[i + 1], data[i + 2]
+        d0 = (b0 << 4) | (b1 >> 4)
+        d1 = ((b1 & 0x0F) << 8) | b2
+        out.append(s12(d0))
+        out.append(s12(d1))
+    return out
+
+
+def simulate_up_to(blocks, target_block_idx, t_preamble):
+    """Run the decoder up to block_idx; return per-channel sample lists."""
+    out = {"Tran": [], "Vert": [], "Long": [], "MicL": []}
+    out["Tran"].extend(t_preamble)
+    cur = {"Tran": t_preamble[-1], "Vert": None, "Long": None, "MicL": None}
+    rotation = ["Vert", "Long", "MicL", "Tran"]
+    seg_idx = [j for j, b in enumerate(blocks) if b.tag_hi == 0x40]
+
+    # Determine which channel we're CURRENTLY decoding into
+    current_channel = "Tran"
+    seg_counter = -1  # incremented at each 40 02
+
+    for j in range(target_block_idx):
+        blk = blocks[j]
+        if blk.tag_hi == 0x40:
+            # Switch: extend prev channel, set up new channel
+            seg_counter += 1
+            prev = "Tran" if seg_counter == 0 else rotation[(seg_counter - 1) % 4]
+            new_ch = rotation[seg_counter % 4]
+            if cur[prev] is not None:
+                d0 = int.from_bytes(blk.data[0:2], "big", signed=True)
+                d1 = int.from_bytes(blk.data[2:4], "big", signed=True)
+                cur[prev] += d0; out[prev].append(cur[prev])
+                cur[prev] += d1; out[prev].append(cur[prev])
+            c0 = int.from_bytes(blk.data[14:16], "big", signed=True)
+            c1 = int.from_bytes(blk.data[16:18], "big", signed=True)
+            out[new_ch].extend([c0, c1])
+            cur[new_ch] = c1
+            current_channel = new_ch
+        elif blk.tag_hi == 0x10:
+            for byte in blk.data:
+                for nib in ((byte >> 4) & 0xF, byte & 0xF):
+                    cur[current_channel] += s4(nib)
+                    out[current_channel].append(cur[current_channel])
+        elif blk.tag_hi == 0x20:
+            for byte in blk.data:
+                cur[current_channel] += i8(byte)
+                out[current_channel].append(cur[current_channel])
+        elif blk.tag_hi == 0x00:
+            for _ in range(blk.tag_lo):
+                out[current_channel].append(cur[current_channel])
+        elif blk.tag_hi == 0x30:
+            # Skip for now — we want to know what comes next
+            pass
+
+    return out, current_channel
+
+
+def main():
+    for stem in ("M529LL1A.SP0", "M529LL1L.JQ0", "M529LL1L.V70",
+                 "M529LL1A.SS0", "M529LL1A.SV0"):
+        path = f"tests/fixtures/5-11-26/{stem}"
+        with open(path, "rb") as f:
+            body = f.read()[43:-26]
+        _, samples = _parse_txt(path + ".TXT")
+        blocks = walk_body(body, find_data_start(body))
+        t0 = int.from_bytes(body[3:5], "big", signed=True)
+        t1 = int.from_bytes(body[5:7], "big", signed=True)
+
+        # Find all 30 NN blocks in data section
+        thirty_blocks = [(j, b) for j, b in enumerate(blocks) if b.tag_hi == 0x30]
+        if not thirty_blocks:
+            continue
+
+        print(f"\n=== {stem} ===")
+        for j, blk in thirty_blocks:
+            pred, ch = simulate_up_to(blocks, j, [t0, t1])
+            n_pred = len(pred[ch])
+            # The 30 NN block carries NN deltas for channel `ch` starting at sample n_pred
+            truth = [round(v * 200) for v in samples[ch]]
+            if n_pred >= len(truth):
+                continue
+            # Truth deltas: truth[n_pred] - cur, truth[n_pred+1] - truth[n_pred], ...
+            cur_val = pred[ch][-1]
+            nn = blk.tag_lo
+            truth_deltas = []
+            prev = cur_val
+            for k in range(min(nn, len(truth) - n_pred)):
+                truth_deltas.append(truth[n_pred + k] - prev)
+                prev = truth[n_pred + k]
+
+            print(f"  block @ {blk.offset:>5} (chan={ch}, after sample {n_pred-1}, "
+                  f"NN={nn}, last_val={cur_val}):")
+            print(f"    data:  {blk.data.hex(' ')}")
+            print(f"    truth: {truth_deltas}")
+            schemes = [
+                ("12-bit BE contiguous", unpack_12bit_be_contiguous(blk.data)),
+                ("12-bit per-triplet BE", unpack_12bit_per_triplet_be(blk.data)),
+            ]
+            for name, pred_deltas in schemes:
+                n_match = sum(1 for a, b in zip(pred_deltas, truth_deltas) if a == b)
+                tag = "✓" if pred_deltas == truth_deltas else " "
+                print(f"    {tag}{n_match}/{nn}  {name}: {pred_deltas[:nn]}")
+
+
+if __name__ == "__main__":
+    main()

analysis/test_rle.py

@@ -0,0 +1,86 @@
+"""Test: 00 NN markers might be RLE for zero-deltas in current channel."""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import _parse_txt
+from minimateplus.waveform_codec import walk_body, find_data_start
+
+
+def s4(n):
+    return n if n < 8 else n - 16
+
+
+def i8(b):
+    return b if b < 128 else b - 256
+
+
+def decode_with_rle(body):
+    """Decode Tran assuming:
+    - preamble[3:5], [5:7] = T[0], T[1]
+    - All 10 NN / 20 NN blocks until segment_header (40 02) are Tran deltas
+    - 00 NN markers are RLE: NN/4 zero T deltas (or NN, or NN/2 — try them)
+    """
+    if len(body) < 9 or body[0:3] != b"\x00\x02\x00":
+        return None, None, None
+    T0 = int.from_bytes(body[3:5], "big", signed=True)
+    T1 = int.from_bytes(body[5:7], "big", signed=True)
+
+    # Find first tag (might be 00 NN, 10 NN, or 20 NN)
+    i = 7
+    while i + 1 < len(body):
+        if body[i] in (0x00, 0x10, 0x20):
+            break
+        i += 1
+    start = i
+
+    blocks = walk_body(body, start)
+
+    results = {}
+    for rle_div in (4, 2, 1):  # try different RLE interpretations
+        T = [T0, T1]
+        cur = T1
+        for blk in blocks:
+            if blk.tag_hi == 0x40:
+                break
+            if blk.tag_hi == 0x10:
+                for byte in blk.data:
+                    for nib in ((byte >> 4) & 0xF, byte & 0xF):
+                        cur += s4(nib)
+                        T.append(cur)
+            elif blk.tag_hi == 0x20:
+                for byte in blk.data:
+                    cur += i8(byte)
+                    T.append(cur)
+            elif blk.tag_hi == 0x00:
+                # RLE of zero deltas
+                n_zeros = blk.tag_lo // rle_div
+                for _ in range(n_zeros):
+                    T.append(cur)
+            # 30 NN: skip for now
+        results[rle_div] = T
+    return results, T0, T1
+
+
+def main():
+    for stem in ("M529LL1L.V70", "M529LL1L.JQ0", "M529LL1A.SP0", "M529LL1A.SS0", "M529LL1A.SV0"):
+        path = f"tests/fixtures/5-11-26/{stem}"
+        with open(path, "rb") as f:
+            body = f.read()[43:-26]
+        _, samples = _parse_txt(path + ".TXT")
+        truth_T = [round(v*200) for v in samples["Tran"]]
+
+        results, T0, T1 = decode_with_rle(body)
+        print(f"\n=== {stem} (T[0]={T0}, T[1]={T1}) ===")
+        for rle_div, T in results.items():
+            n = min(len(T), len(truth_T))
+            matches = sum(1 for i in range(n) if T[i] == truth_T[i])
+            # Find first divergence
+            div_at = -1
+            for i in range(n):
+                if T[i] != truth_T[i]:
+                    div_at = i
+                    break
+            print(f"  rle_div={rle_div}: decoded {len(T)}, matches {matches}/{n}, first div at sample {div_at}")
+
+
+if __name__ == "__main__":
+    main()

analysis/test_tran_continue.py

@@ -0,0 +1,71 @@
+"""Test: does the second '20 NN' block in SS0 continue Tran samples?"""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import _parse_txt
+from minimateplus.waveform_codec import walk_body, find_data_start
+
+
+def s4(n):
+    return n if n < 8 else n - 16
+
+
+def i8(b):
+    return b if b < 128 else b - 256
+
+
+def main():
+    stem = "M529LL1A.SS0"
+    path = f"tests/fixtures/5-11-26/{stem}"
+    with open(path, "rb") as f:
+        body = f.read()[43:-26]
+    _, samples = _parse_txt(path + ".TXT")
+    truth_T_16 = [round(v * 200) for v in samples["Tran"]]
+
+    # Preamble
+    T0 = int.from_bytes(body[3:5], "big", signed=True)
+    T1 = int.from_bytes(body[5:7], "big", signed=True)
+
+    # Walk blocks
+    start = find_data_start(body)
+    blocks = walk_body(body, start)
+
+    print(f"=== {stem} ===  T[0]={T0} T[1]={T1}")
+
+    # Hypothesis: Tran continues through ALL 10 NN and 20 NN blocks
+    # in order, until the next 40 02 segment header (which resets).
+    T = [T0, T1]
+    cur = T1
+    decoded_count = 2  # T[0], T[1] from preamble
+    for bi, blk in enumerate(blocks):
+        if blk.tag_hi == 0x10:
+            for byte in blk.data:
+                for nib in ((byte >> 4) & 0xF, byte & 0xF):
+                    cur += s4(nib)
+                    T.append(cur)
+                    decoded_count += 1
+        elif blk.tag_hi == 0x20:
+            for byte in blk.data:
+                cur += i8(byte)
+                T.append(cur)
+                decoded_count += 1
+        elif blk.tag_hi == 0x40:
+            # Segment header — stop here for this test
+            break
+        # 00 and 30 NN don't contribute to Tran (in this hypothesis)
+
+    # Compare to truth
+    print(f"  Decoded {len(T)} T samples up to first 40 02")
+    matches = sum(1 for i in range(min(len(T), len(truth_T_16))) if T[i] == truth_T_16[i])
+    print(f"  Matches in first {min(len(T), len(truth_T_16))}: {matches}")
+    # Print first divergence
+    for i in range(min(len(T), len(truth_T_16))):
+        if T[i] != truth_T_16[i]:
+            print(f"  First divergence: sample {i}: pred={T[i]}, truth={truth_T_16[i]}")
+            # Show context
+            print(f"    pred  [{i-3}:{i+5}]: {T[max(0,i-3):i+5]}")
+            print(f"    truth [{i-3}:{i+5}]: {truth_T_16[max(0,i-3):i+5]}")
+            break
+
+
+if __name__ == "__main__":
+    main()

analysis/try_layouts.py

@@ -0,0 +1,67 @@
+"""Try various nibble-level channel interleavings to find which one matches truth."""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import load_bundle
+
+
+def s4(n):
+    return n if n < 8 else n - 16
+
+
+def run_decoder(body, layout, skip, n_channels=4):
+    """layout: function nibble_index -> channel_index. Returns list-of-lists per channel."""
+    out = [[] for _ in range(n_channels)]
+    cur = [0] * n_channels
+    nibbles = []
+    for byte in body[skip:]:
+        nibbles.append((byte >> 4) & 0xF)
+        nibbles.append(byte & 0xF)
+    for i, n in enumerate(nibbles):
+        ch = layout(i)
+        cur[ch] += s4(n)
+        out[ch].append(cur[ch])
+    return out
+
+
+def cmp(pred, truth, n=24):
+    n = min(n, len(pred), len(truth))
+    return [(pred[i], truth[i]) for i in range(n)]
+
+
+def main():
+    b = load_bundle("event-c")
+    truth_T = [round(v * 200) for v in b.samples["Tran"]]
+    truth_V = [round(v * 200) for v in b.samples["Vert"]]
+    truth_L = [round(v * 200) for v in b.samples["Long"]]
+    print(f"T truth[0:10]: {truth_T[:10]}")
+    print(f"V truth[0:10]: {truth_V[:10]}")
+    print(f"L truth[0:10]: {truth_L[:10]}")
+
+    # Try several nibble->channel layouts (4 channels)
+    layouts = {
+        "interleaved TVLM (0,1,2,3,0,1,2,3,...)": lambda i: i % 4,
+        "interleaved VLMT": lambda i: (i + 3) % 4,
+        "interleaved LMTV": lambda i: (i + 2) % 4,
+        "interleaved MTVL": lambda i: (i + 1) % 4,
+        "byte-based TV LM TV LM (high T low V byte0; high L low M byte1)": lambda i: i % 4,
+        # "chunks of 8 nibbles per channel": each channel gets 8 nibbles in a row
+        "chunks-8 TVLM": lambda i: (i // 8) % 4,
+        "chunks-16 TVLM": lambda i: (i // 16) % 4,
+        # planar (full channel sequential)
+        "planar T(0..N) V(N..2N) L(2N..3N) M(3N..4N)": None,  # special
+    }
+
+    for label, layout_fn in layouts.items():
+        if layout_fn is None:
+            continue
+        for skip in (0, 4, 7, 8, 9, 11, 14):
+            out = run_decoder(b.body, layout_fn, skip)
+            # Check first 8 cumulative on each channel
+            print(f"  skip={skip:2}  {label}")
+            print(f"    T_cum[0:10]: {out[0][:10]}")
+            print(f"    V_cum[0:10]: {out[1][:10]}")
+            print(f"    L_cum[0:10]: {out[2][:10]}")
+
+
+if __name__ == "__main__":
+    main()

analysis/try_nibbles.py

@@ -0,0 +1,73 @@
+"""Try decoding body as 4-bit signed nibble deltas, 4-channel round-robin."""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import load_bundle
+
+
+CHANNELS = ("Tran", "Vert", "Long", "MicL")
+
+
+def s4(n):
+    """Sign-extend a 4-bit unsigned to int (0..7 → 0..7, 8..F → -8..-1)."""
+    return n if n < 8 else n - 16
+
+
+def decode_nibbles(body: bytes, skip_bytes: int = 7, n_channels: int = 4):
+    """Read body as 2 nibbles per byte; accumulate as deltas for n_channels round-robin."""
+    out = [[] for _ in range(n_channels)]
+    cur = [0] * n_channels
+    ch = 0
+    nibbles = []
+    for byte in body[skip_bytes:]:
+        nibbles.append((byte >> 4) & 0xF)
+        nibbles.append(byte & 0xF)
+    for n in nibbles:
+        cur[ch] += s4(n)
+        out[ch].append(cur[ch])
+        ch = (ch + 1) % n_channels
+    return out
+
+
+def cmp_to_truth(pred, truth, scale=16):
+    """Compare predicted ints (in 16-count units) to truth (in 16-count units = txt * 200).
+    Return (max_abs_err, mean_abs_err, n_compared).
+    """
+    n = min(len(pred), len(truth))
+    errs = []
+    for i in range(n):
+        p = pred[i]
+        t = truth[i]
+        errs.append(abs(p - t))
+    if not errs:
+        return None
+    return (max(errs), sum(errs) / len(errs), n)
+
+
+def main():
+    for name in ("event-a", "event-c"):
+        b = load_bundle(name)
+        # Convert TXT samples (in/s) to 16-count units (multiply by 200, since 0.005 in/s = 1)
+        # WAIT: 0.005 in/s = 16 ADC counts. 1 count = 0.000305 in/s.
+        # So in 1-count units: count = txt * (1/0.0003052) ≈ txt * 3276.7
+        # But TXT only has 0.005 resolution so equivalent to 16-count units = txt * 200.
+        truth_in_16 = {ch: [round(v * 200) for v in b.samples[ch]] for ch in CHANNELS[:3]}
+        # MicL is in dB, skip for now
+
+        # Try decoder with skip_bytes = 7
+        decoded = decode_nibbles(b.body, skip_bytes=7, n_channels=4)
+        print(f"\n=== {name} ===")
+        print(f"  body={len(b.body)}, nibbles={2*(len(b.body)-7)}, samples_per_ch={len(decoded[0])}")
+        print(f"  truth samples per ch: {len(truth_in_16['Tran'])}")
+        # Print first 24 of each
+        for i, chan in enumerate(CHANNELS):
+            pred_first = decoded[i][:24]
+            if chan in truth_in_16:
+                truth_first = truth_in_16[chan][:24]
+                print(f"  {chan} pred: {pred_first}")
+                print(f"  {chan} truth: {truth_first}")
+            else:
+                print(f"  {chan} pred: {pred_first}  (truth in dB, skipped)")
+
+
+if __name__ == "__main__":
+    main()

analysis/verify_full_decode.py

@@ -0,0 +1,32 @@
+"""Verify decode_waveform_v2 against BW ASCII truth for all fixtures."""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import _parse_txt
+from minimateplus.waveform_codec import decode_waveform_v2
+
+
+def main():
+    for stem in ("M529LL1A.SP0", "M529LL1A.SS0", "M529LL1A.SV0",
+                 "M529LL1L.JQ0", "M529LL1L.V70"):
+        path = f"tests/fixtures/5-11-26/{stem}"
+        with open(path, "rb") as f:
+            body = f.read()[43:-26]
+        _, samples = _parse_txt(path + ".TXT")
+        decoded = decode_waveform_v2(body)
+        if decoded is None:
+            print(f"{stem}: decoder returned None")
+            continue
+
+        print(f"\n=== {stem} ===")
+        for ch in ("Tran", "Vert", "Long"):
+            truth = [round(v * 200) for v in samples[ch]]
+            pred = decoded[ch]
+            n = min(len(pred), len(truth))
+            matches = sum(1 for i in range(n) if pred[i] == truth[i])
+            div = next((i for i in range(n) if pred[i] != truth[i]), -1)
+            print(f"  {ch}: decoded={len(pred):>5}  truth={len(truth):>5}  "
+                  f"matches={matches:>5}/{n:<5}  first div={div}")
+
+
+if __name__ == "__main__":
+    main()

analysis/verify_quiet_bundle.py

@@ -0,0 +1,55 @@
+"""Run decode_waveform_v2 against the 5-8-26 quiet bundle to test the
+'quiet events should decode fully' hypothesis."""
+import os, sys
+sys.path.insert(0, ".")
+from minimateplus.waveform_codec import decode_waveform_v2, walk_body, find_data_start
+from analysis.load_bundle import _parse_txt
+
+
+def main():
+    base = "tests/fixtures/decode-re-5-8-26"
+    for evt in sorted(os.listdir(base)):
+        folder = os.path.join(base, evt)
+        if not os.path.isdir(folder):
+            continue
+        # Find the binary (not .TXT)
+        bin_name = next(
+            (f for f in os.listdir(folder) if not f.endswith(".TXT")),
+            None,
+        )
+        if not bin_name:
+            continue
+        bin_path = os.path.join(folder, bin_name)
+        txt_path = bin_path + ".TXT"
+        if not os.path.exists(txt_path):
+            # Sometimes the TXT name differs slightly
+            for f in os.listdir(folder):
+                if f.endswith(".TXT"):
+                    txt_path = os.path.join(folder, f)
+                    break
+        with open(bin_path, "rb") as f:
+            body = f.read()[43:-26]
+        decoded = decode_waveform_v2(body)
+        _, samples = _parse_txt(txt_path)
+
+        # Count 30 NN blocks
+        blocks = walk_body(body, find_data_start(body))
+        n_30 = sum(1 for b in blocks if b.tag_hi == 0x30)
+        n_40 = sum(1 for b in blocks if b.tag_hi == 0x40)
+
+        print(f"\n=== {evt} === body={len(body)}  segments={n_40}  '30 NN' blocks={n_30}")
+        if decoded is None:
+            print("  decoder returned None")
+            continue
+        for ch in ("Tran", "Vert", "Long"):
+            truth = [round(v * 200) for v in samples[ch]]
+            pred = decoded[ch]
+            n = min(len(pred), len(truth))
+            matches = sum(1 for i in range(n) if pred[i] == truth[i])
+            div = next((i for i in range(n) if pred[i] != truth[i]), -1)
+            print(f"  {ch}: decoded={len(pred):>5}  truth={len(truth):>5}  "
+                  f"matches={matches:>5}/{n:<5}  first div={div}")
+
+
+if __name__ == "__main__":
+    main()

analysis/verify_tran.py

@@ -0,0 +1,71 @@
+"""Verify: preamble[3:7] = Tran[0], Tran[1] as int16 BE in 16-count units.
+And first 20/10 NN block = Tran deltas starting at sample 2.
+"""
+import os, sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import _parse_txt
+from minimateplus.waveform_codec import walk_body, find_data_start
+
+
+def s4(n):
+    return n if n < 8 else n - 16
+
+
+def i8(b):
+    return b if b < 128 else b - 256
+
+
+def main():
+    for stem in ("M529LL1A.SP0", "M529LL1A.SS0", "M529LL1A.SV0"):
+        path = f"tests/fixtures/5-11-26/{stem}"
+        with open(path, "rb") as f:
+            raw = f.read()
+        body = raw[43:-26]
+        _, samples = _parse_txt(path + ".TXT")
+        truth_T_16 = [round(v * 200) for v in samples["Tran"]]
+
+        # Preamble parse
+        T0_pre = int.from_bytes(body[3:5], "big", signed=True)
+        T1_pre = int.from_bytes(body[5:7], "big", signed=True)
+        print(f"\n=== {stem} ===")
+        print(f"  Preamble T[0]={T0_pre} (truth {truth_T_16[0]})  T[1]={T1_pre} (truth {truth_T_16[1]})  match={T0_pre==truth_T_16[0] and T1_pre==truth_T_16[1]}")
+
+        # First block
+        start = find_data_start(body)
+        blocks = walk_body(body, start)
+        if not blocks:
+            print(f"  no blocks found")
+            continue
+
+        # Assume first block = Tran deltas from sample 2
+        first = blocks[0]
+        T = [T0_pre, T1_pre]
+        cur_T = T1_pre
+        if first.tag_hi == 0x10:
+            # Nibble pairs
+            for byte in first.data:
+                for nib in ((byte >> 4) & 0xF, byte & 0xF):
+                    cur_T += s4(nib)
+                    T.append(cur_T)
+        elif first.tag_hi == 0x20:
+            # int8 per byte
+            for byte in first.data:
+                cur_T += i8(byte)
+                T.append(cur_T)
+
+        # Compare against truth
+        n_check = min(len(T), len(truth_T_16))
+        match_count = sum(1 for i in range(n_check) if T[i] == truth_T_16[i])
+        print(f"  First block type=0x{first.tag_hi:02x} NN=0x{first.tag_lo:02x} len={len(first.data)} → {len(T)} T samples decoded")
+        print(f"  Tran predicted[0:10]: {T[:10]}")
+        print(f"  Tran truth    [0:10]: {truth_T_16[:10]}")
+        print(f"  Matches in first {n_check}: {match_count} / {n_check}")
+        # Show where it diverges
+        for i in range(n_check):
+            if T[i] != truth_T_16[i]:
+                print(f"  First divergence: sample {i}: pred={T[i]}, truth={truth_T_16[i]}")
+                break
+
+
+if __name__ == "__main__":
+    main()

analysis/walk_5_11.py

@@ -0,0 +1,20 @@
+"""Walk blocks of the new 5-11-26 events and look at what comes after Tran block."""
+import sys
+sys.path.insert(0, ".")
+from minimateplus.waveform_codec import walk_body, find_data_start
+
+
+def main():
+    for stem in ("M529LL1A.SP0", "M529LL1A.SS0", "M529LL1A.SV0"):
+        with open(f"tests/fixtures/5-11-26/{stem}", "rb") as f:
+            raw = f.read()
+        body = raw[43:-26]
+        start = find_data_start(body)
+        blocks = walk_body(body, start)
+        print(f"\n=== {stem} === body={len(body)} start={start} blocks walked={len(blocks)}")
+        for i, b in enumerate(blocks[:20]):
+            print(f"  block[{i:>2}] @ {b.offset:>5} tag={b.tag_hi:02x} NN=0x{b.tag_lo:02x}({b.tag_lo}) len={b.length} data[:24]={b.data[:24].hex(' ')}")
+
+
+if __name__ == "__main__":
+    main()

analysis/walk_chunks.py

@@ -0,0 +1,44 @@
+"""Walk the body assuming chunks delimited by 0x10 NN tags. Print each chunk's structure."""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import load_bundle
+
+
+def walk(body: bytes, start_offset: int = 7, max_chunks: int = 30):
+    """Find all positions where byte = 0x10 followed by a multiple-of-4 byte. Print chunks."""
+    chunks = []
+    i = start_offset
+    while i < len(body) - 1:
+        # Find next `10 NN` where NN is multiple of 4 (and not preceded by another 0x10 immediately, which would be data).
+        if body[i] == 0x10 and (body[i+1] % 4 == 0):
+            chunks.append(i)
+        i += 1
+    return chunks
+
+
+def main():
+    for name in ("event-c", "event-d"):
+        b = load_bundle(name)
+        body = b.body
+        positions = []
+        i = 7  # skip 7-byte preamble
+        while i < len(body) - 1:
+            if body[i] == 0x10 and body[i+1] % 4 == 0 and body[i+1] > 0:
+                positions.append(i)
+                i += 2  # skip past tag
+            else:
+                i += 1
+        print(f"\n=== {name} ===  body={len(body)}, total `10 NN` (NN%4==0, NN>0) tags: {len(positions)}")
+        # Print first 20 chunks: show position, NN, gap to next tag
+        for k in range(min(30, len(positions))):
+            pos = positions[k]
+            NN = body[pos + 1]
+            next_pos = positions[k+1] if k+1 < len(positions) else len(body)
+            gap = next_pos - pos
+            data_bytes = body[pos+2 : next_pos]
+            print(f"  chunk[{k:>3}] @ {pos:>5}  NN=0x{NN:02x} ({NN:>3}, NN/2={NN//2})  gap={gap:>3}  "
+                  f"data={data_bytes[:24].hex(' ')}{'...' if len(data_bytes) > 24 else ''}")
+
+
+if __name__ == "__main__":
+    main()

analysis/walk_v2.py

@@ -0,0 +1,50 @@
+"""Deterministic chunk walker: each chunk = [10 NN][NN/2 bytes data][2 bytes trailer]."""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import load_bundle
+
+
+def walk_chunks(body: bytes, start: int = 7):
+    """Yield (offset, NN, data_bytes, trailer_bytes) tuples."""
+    i = start
+    while i + 1 < len(body):
+        if body[i] != 0x10:
+            break
+        NN = body[i + 1]
+        if NN == 0 or NN > 0x80 or NN % 4 != 0:
+            break
+        chunk_len = NN // 2 + 4
+        if i + chunk_len > len(body):
+            break
+        data = bytes(body[i + 2 : i + 2 + NN // 2])
+        trailer = bytes(body[i + 2 + NN // 2 : i + chunk_len])
+        yield (i, NN, data, trailer)
+        i += chunk_len
+
+
+def main():
+    for name in ("event-c", "event-d", "event-a", "event-b"):
+        b = load_bundle(name)
+        body = b.body
+        chunks = list(walk_chunks(body))
+        print(f"\n=== {name} ===  body={len(body)}  N_samples={len(b.samples['Tran'])}")
+        print(f"  chunks parsed: {len(chunks)}")
+        if chunks:
+            last = chunks[-1]
+            end_of_walk = last[0] + last[1] // 2 + 4
+            print(f"  walk ended at offset {end_of_walk} (= {len(body) - end_of_walk} bytes from end)")
+            # Stats
+            total_data_bytes = sum(len(c[2]) for c in chunks)
+            print(f"  total data bytes: {total_data_bytes}, total nibbles: {2*total_data_bytes}")
+            if name in ("event-c", "event-d"):
+                ratio = (2 * total_data_bytes) / (len(b.samples['Tran']) * 4)
+                print(f"  nibbles per (sample × channel): {ratio:.3f}")
+            # Sum of trailer second-byte
+            trailer_sums = [c[3][-1] if c[3] else None for c in chunks]
+            print(f"  first 10 chunks: {[(c[0], c[1], c[3].hex()) for c in chunks[:10]]}")
+            # Print last 10 chunks (likely transition to trailer)
+            print(f"  last 10 chunks: {[(c[0], c[1], c[3].hex()) for c in chunks[-10:]]}")
+
+
+if __name__ == "__main__":
+    main()

analysis/walk_v3.py

@@ -0,0 +1,51 @@
+"""Walk chunks; auto-detect preamble length by finding first 10 NN."""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import load_bundle
+
+
+def walk_chunks(body, start, max_NN=0x80):
+    chunks = []
+    i = start
+    while i + 1 < len(body):
+        if body[i] != 0x10:
+            break
+        NN = body[i + 1]
+        if NN == 0 or NN > max_NN or NN % 4 != 0:
+            break
+        chunk_len = NN // 2 + 4
+        if i + chunk_len > len(body):
+            break
+        data = bytes(body[i + 2 : i + 2 + NN // 2])
+        trailer = bytes(body[i + 2 + NN // 2 : i + chunk_len])
+        chunks.append((i, NN, data, trailer))
+        i += chunk_len
+    return chunks, i
+
+
+def find_first_chunk_start(body):
+    """Locate first byte that begins a `10 NN` chunk (NN ∈ multiples of 4, 4..0x7C)."""
+    for i in range(20):
+        if body[i] == 0x10 and body[i + 1] % 4 == 0 and 0 < body[i + 1] <= 0x7C:
+            return i
+    return -1
+
+
+def main():
+    for name in ("event-c", "event-d", "event-a", "event-b"):
+        b = load_bundle(name)
+        body = b.body
+        start = find_first_chunk_start(body)
+        chunks, end = walk_chunks(body, start)
+        print(f"\n=== {name} ===  body={len(body)}  N_samples={len(b.samples['Tran'])}  start={start}")
+        print(f"  chunks parsed: {len(chunks)}, walk ended at {end}")
+        if chunks:
+            print(f"  first 5 chunks: {[(c[0], c[1], c[3].hex()) for c in chunks[:5]]}")
+            print(f"  last 5 chunks: {[(c[0], c[1], c[3].hex()) for c in chunks[-5:]]}")
+            print(f"  bytes around end of walk: {body[end-4:end+12].hex(' ')}")
+        else:
+            print(f"  bytes at start: {body[start:start+16].hex(' ')}")
+
+
+if __name__ == "__main__":
+    main()

analysis/walk_v4.py

@@ -0,0 +1,75 @@
+"""
+Walker v4: alternate [10 NN] data chunks and [00 NN] (or other) marker tags.
+
+Hypothesis:
+- [10 NN]: data block, length NN/2 + 2 bytes (2-byte tag + NN/2 bytes data)
+- [00 NN]: 2-byte marker block (no data)
+- [20/30/40 NN]: special blocks with type-dependent length
+"""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import load_bundle
+
+
+def walk(body, start):
+    i = start
+    blocks = []
+    while i + 1 < len(body):
+        t0 = body[i]
+        t1 = body[i + 1]
+        if t0 == 0x10 and t1 % 4 == 0 and 0 < t1 <= 0x80:
+            # data chunk: length NN/2 + 2
+            length = t1 // 2 + 2
+            blocks.append((i, "10", t1, bytes(body[i + 2 : i + length]), length))
+            i += length
+        elif t0 == 0x00 and t1 % 4 == 0:
+            # 2-byte marker
+            blocks.append((i, "00", t1, b"", 2))
+            i += 2
+        elif t0 == 0x20 and t1 % 4 == 0:
+            # type 2 — try length 2+t1/2 (similar to 10) OR fixed
+            length = t1 // 2 + 2
+            blocks.append((i, "20", t1, bytes(body[i + 2 : i + length]), length))
+            i += length
+        elif t0 == 0x30 and t1 % 4 == 0:
+            length = t1 // 2 + 2
+            blocks.append((i, "30", t1, bytes(body[i + 2 : i + length]), length))
+            i += length
+        elif t0 == 0x40 and t1 == 0x02:
+            # Special "footer transition" block — try fixed 22 bytes
+            length = 22
+            blocks.append((i, "40", t1, bytes(body[i + 2 : i + length]), length))
+            i += length
+        else:
+            # Unknown tag — stop
+            blocks.append((i, "??", t0, bytes(body[i:i+8]), 0))
+            break
+    return blocks, i
+
+
+def main():
+    for name in ("event-c", "event-d", "event-a", "event-b"):
+        b = load_bundle(name)
+        body = b.body
+        # Auto-detect start
+        for s in range(15):
+            if body[s] == 0x10 and body[s+1] % 4 == 0 and 0 < body[s+1] <= 0x80:
+                start = s
+                break
+        else:
+            start = 7
+        blocks, end = walk(body, start)
+        # Categorize
+        from collections import Counter
+        types = Counter(b[1] for b in blocks)
+        print(f"\n=== {name} === body={len(body)} N={len(b.samples['Tran'])}  start={start}")
+        print(f"  total blocks: {len(blocks)}, walk ended at {end}/{len(body)}")
+        print(f"  type counts: {dict(types)}")
+        # Print last 5 blocks
+        print(f"  last 5 blocks: {[(bb[0], bb[1], bb[2]) for bb in blocks[-5:]]}")
+        if end < len(body):
+            print(f"  bytes at end: {body[end:end+24].hex(' ')}")
+
+
+if __name__ == "__main__":
+    main()

analysis/walk_v5.py

@@ -0,0 +1,83 @@
+"""
+Walker v5: flexible NN range and multiple block-type lengths.
+
+Hypothesis:
+- [10 NN]: 4-bit-delta data block, length = NN/2 + 2
+- [20 NN]: 8-bit-literal data block, length = NN + 2
+- [00 NN]: 2-byte marker (no payload)
+- [30 NN]: trailer/summary block, length = NN*4
+- [40 NN]: footer-marker block, fixed 22 bytes
+"""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import load_bundle
+from collections import Counter
+
+
+def walk(body, start, max_blocks=10000):
+    i = start
+    blocks = []
+    while i + 1 < len(body) and len(blocks) < max_blocks:
+        t0 = body[i]
+        t1 = body[i + 1]
+        if t0 == 0x10 and t1 % 4 == 0 and 0 < t1 <= 0xFC:
+            length = t1 // 2 + 2
+            if i + length > len(body):
+                break
+            data = bytes(body[i + 2 : i + length])
+            blocks.append((i, "10", t1, data, length))
+            i += length
+        elif t0 == 0x20 and t1 % 4 == 0 and 0 < t1 <= 0xFC:
+            length = t1 + 2
+            if i + length > len(body):
+                break
+            data = bytes(body[i + 2 : i + length])
+            blocks.append((i, "20", t1, data, length))
+            i += length
+        elif t0 == 0x00 and t1 % 4 == 0:
+            # 2-byte marker
+            blocks.append((i, "00", t1, b"", 2))
+            i += 2
+        elif t0 == 0x30 and t1 % 4 == 0:
+            length = t1 * 4
+            if i + length > len(body):
+                break
+            data = bytes(body[i + 2 : i + length])
+            blocks.append((i, "30", t1, data, length))
+            i += length
+        elif t0 == 0x40 and t1 == 0x02:
+            length = 22
+            if i + length > len(body):
+                break
+            data = bytes(body[i + 2 : i + length])
+            blocks.append((i, "40", t1, data, length))
+            i += length
+        else:
+            blocks.append((i, "??", t0, bytes(body[i:i+8]), 0))
+            break
+    return blocks, i
+
+
+def main():
+    for name in ("event-c", "event-d", "event-a", "event-b"):
+        b = load_bundle(name)
+        body = b.body
+        for s in range(15):
+            if body[s] == 0x10 and body[s+1] % 4 == 0 and 0 < body[s+1] <= 0xFC:
+                start = s; break
+        else:
+            start = 7
+        blocks, end = walk(body, start)
+        types = Counter(bb[1] for bb in blocks)
+        print(f"\n=== {name} === body={len(body)} N={len(b.samples['Tran'])}  start={start}")
+        print(f"  total blocks: {len(blocks)}, walk ended at {end}/{len(body)}")
+        print(f"  type counts: {dict(types)}")
+        if blocks and blocks[-1][1] == "??":
+            print(f"  stopped at byte: 0x{blocks[-1][2]:02x}, prev 5 blocks: {[(bb[0], bb[1], bb[2]) for bb in blocks[-6:-1]]}")
+        # Sum payload sizes by type
+        payload_sizes = {t: sum(len(bb[3]) for bb in blocks if bb[1] == t) for t in types}
+        print(f"  payload bytes by type: {payload_sizes}")
+
+
+if __name__ == "__main__":
+    main()

analysis/walk_v6.py

@@ -0,0 +1,68 @@
+"""
+Walker v6: handle 40 02 blocks correctly (length 20).
+
+Block formats:
+- [10 NN]: 4-bit nibble delta data, length = NN/2 + 2
+- [20 NN]: int8 literal data, length = NN + 2
+- [00 NN]: 2-byte marker
+- [30 NN]: trailer/summary block, length = NN*4
+- [40 02]: segment header, fixed length 20
+"""
+import sys
+sys.path.insert(0, ".")
+from analysis.load_bundle import load_bundle
+from collections import Counter
+
+
+def walk(body, start, max_blocks=10000):
+    i = start
+    blocks = []
+    while i + 1 < len(body) and len(blocks) < max_blocks:
+        t0 = body[i]
+        t1 = body[i + 1]
+        if t0 == 0x10 and t1 % 4 == 0 and 0 < t1 <= 0xFC:
+            length = t1 // 2 + 2
+        elif t0 == 0x20 and t1 % 4 == 0 and 0 < t1 <= 0xFC:
+            length = t1 + 2
+        elif t0 == 0x00 and t1 % 4 == 0:
+            length = 2
+        elif t0 == 0x30 and t1 % 4 == 0 and 0 < t1 <= 0x10:
+            length = t1 * 4
+        elif t0 == 0x40 and t1 == 0x02:
+            length = 20
+        else:
+            blocks.append((i, "??", t0, bytes(body[i:i+8]), 0))
+            break
+        if i + length > len(body):
+            break
+        data = bytes(body[i + 2 : i + length])
+        blocks.append((i, f"{t0:02x}", t1, data, length))
+        i += length
+    return blocks, i
+
+
+def main():
+    for name in ("event-c", "event-d", "event-a", "event-b"):
+        b = load_bundle(name)
+        body = b.body
+        for s in range(15):
+            if body[s] == 0x10 and body[s+1] % 4 == 0 and 0 < body[s+1] <= 0xFC:
+                start = s; break
+        else:
+            start = 7
+        blocks, end = walk(body, start)
+        types = Counter(bb[1] for bb in blocks)
+        print(f"\n=== {name} === body={len(body)} N={len(b.samples['Tran'])}  start={start}")
+        print(f"  total blocks: {len(blocks)}, walk ended at {end}/{len(body)}")
+        print(f"  type counts: {dict(types)}")
+        if blocks and blocks[-1][1] == "??":
+            print(f"  stopped at byte: 0x{blocks[-1][2]:02x} at offset {blocks[-1][0]}")
+            print(f"  prev 5 blocks: {[(bb[0], bb[1], bb[2]) for bb in blocks[-6:-1]]}")
+            print(f"  bytes around stop: {body[end-4:end+24].hex(' ')}")
+        # Sum
+        payload_sizes = {t: sum(len(bb[3]) for bb in blocks if bb[1] == t) for t in types}
+        print(f"  payload bytes by type: {payload_sizes}")
+
+
+if __name__ == "__main__":
+    main()

analysis_idf/corpus_accuracy.py

@@ -0,0 +1,65 @@
+"""Run read_idf_file across the corpus and report per-channel accuracy vs sidecars."""
+from __future__ import annotations
+import sys
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from micromate.idf_file import read_idf_file
+from analysis_idf.recon import load_sidecar_samples
+
+
+def sidecar_path(idfw: Path) -> Path:
+    return idfw.parent / "TXT" / f"{idfw.name}.txt"
+
+
+def main():
+    root = REPO / "tests/fixtures/THORDATA_example"
+    files = [f for f in root.rglob("*.IDFW") if not str(f).endswith(".CDB")]
+    files.sort()
+    GEO_LSB = 0.0003
+
+    n_ok = n_skip = 0
+    overall = {"Tran": [], "Vert": [], "Long": []}
+
+    for f in files:
+        try:
+            res = read_idf_file(f)
+        except Exception:
+            n_skip += 1
+            continue
+        sc_path = sidecar_path(f)
+        if not sc_path.exists():
+            n_skip += 1
+            continue
+        try:
+            sc = load_sidecar_samples(sc_path)
+        except Exception:
+            n_skip += 1
+            continue
+
+        per_file = {}
+        for ch in ("Tran", "Vert", "Long"):
+            sc_counts = [int(round(v / GEO_LSB)) for v in sc[ch]]
+            dec = res.samples.get(ch, [])
+            n = min(len(sc_counts), len(dec))
+            if n == 0:
+                per_file[ch] = 0.0
+                continue
+            exact = sum(1 for i in range(n) if sc_counts[i] == dec[i])
+            pct = 100.0 * exact / n
+            per_file[ch] = pct
+            overall[ch].append(pct)
+        n_ok += 1
+
+    print(f"Processed {n_ok} files (skipped {n_skip})")
+    print("Per-channel exact-match % (mean / min / max):")
+    for ch, vals in overall.items():
+        if vals:
+            avg = sum(vals) / len(vals)
+            print(f"  {ch}: mean={avg:.2f}%  min={min(vals):.2f}%  max={max(vals):.2f}%  n={len(vals)}")
+
+
+if __name__ == "__main__":
+    main()

analysis_idf/diff_trail.py

@@ -0,0 +1,49 @@
+"""Find where decoded-vs-sidecar diverges for each channel."""
+from __future__ import annotations
+import sys
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from minimateplus.waveform_codec import decode_waveform_v2
+from analysis_idf.recon import TARGET, TXT, load_sidecar_samples
+
+
+def main():
+    buf = TARGET.read_bytes()
+    sc = load_sidecar_samples(TXT)
+    decoded = decode_waveform_v2(buf[0x0f1f:])
+    GEO_LSB = 0.0003
+
+    for ch in ("Tran", "Vert", "Long"):
+        sc_counts = [int(round(v / GEO_LSB)) for v in sc[ch]]
+        dec = decoded[ch]
+        # Find ALL transitions where mismatches start/stop
+        first_diff = next((i for i in range(len(dec)) if dec[i] != sc_counts[i]), None)
+        if first_diff is None:
+            print(f"{ch}: NO MISMATCHES")
+            continue
+        print(f"{ch}: first diff at idx {first_diff}")
+        # Show 5 before, 5 after
+        for i in range(max(0, first_diff - 3), min(len(dec), first_diff + 8)):
+            mark = "  " if dec[i] == sc_counts[i] else "**"
+            print(f"  {mark} idx {i:4d}: sc={sc_counts[i]:6d}  dec={dec[i]:6d}  diff={dec[i]-sc_counts[i]:+d}")
+        # Where does cumulative diff exceed 100?
+        cum_match_run = 0
+        max_match_run = 0
+        match_run_start = 0
+        diff_count = 0
+        for i in range(len(dec)):
+            if dec[i] == sc_counts[i]:
+                cum_match_run += 1
+                max_match_run = max(max_match_run, cum_match_run)
+            else:
+                cum_match_run = 0
+                diff_count += 1
+        print(f"  total mismatches: {diff_count}/{len(dec)}, longest run of matches: {max_match_run}")
+        print()
+
+
+if __name__ == "__main__":
+    main()

analysis_idf/e2e_idfh.py

@@ -0,0 +1,48 @@
+"""End-to-end IDFH ingest verification."""
+from __future__ import annotations
+import sys
+import tempfile
+import json
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from sfm.waveform_store import WaveformStore
+
+
+def main():
+    idfh = REPO / "tests/fixtures/THORDATA_example/THORDATA_example/UPMC Presby/UM13981/UM13981_20220805075441.IDFH"
+    txt  = idfh.parent / "TXT" / f"{idfh.name}.txt"
+
+    with tempfile.TemporaryDirectory() as td:
+        store = WaveformStore(Path(td))
+        ev, rec = store.save_imported_idf(
+            idfh.read_bytes(),
+            idfh,
+            idf_report_text=txt.read_text(errors="replace"),
+        )
+        print("=== save_imported_idf (IDFH) ===")
+        print(f"  serial:        {rec['serial']}")
+        print(f"  filename:      {rec['filename']}")
+        print(f"  filesize:      {rec['filesize']}")
+        print(f"  h5:            {rec['hdf5_filename']}")  # expect None for histogram
+        print(f"  sidecar:       {rec['sidecar_filename']}")
+        print()
+        print("=== Event ===")
+        print(f"  timestamp:     {ev.timestamp}")
+        print(f"  record_type:   {ev.record_type}")
+        print(f"  sample_rate:   {ev.sample_rate}")
+        print()
+        # Inspect sidecar to confirm intervals were stashed
+        sc_path = Path(td) / "UM13981" / f"{idfh.name}.sfm.json"
+        sc = json.loads(sc_path.read_text())
+        intervals = sc.get("extensions", {}).get("idf_intervals", [])
+        print(f"  sidecar intervals: {len(intervals)}")
+        if intervals:
+            print(f"  first interval:    {intervals[0]}")
+            print(f"  last interval:     {intervals[-1]}")
+
+
+if __name__ == "__main__":
+    main()

analysis_idf/e2e_no_txt.py

@@ -0,0 +1,40 @@
+"""Verify the had_report=False path: ingest IDFW with no .txt."""
+from __future__ import annotations
+import sys
+from pathlib import Path
+import tempfile
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from sfm.waveform_store import WaveformStore
+
+
+def main():
+    idfw = REPO / "tests/fixtures/THORDATA_example/THORDATA_example/UPMC Presby/UM11719/UM11719_20231219162723.IDFW"
+    with tempfile.TemporaryDirectory() as td:
+        store = WaveformStore(Path(td))
+        ev, rec = store.save_imported_idf(
+            idfw.read_bytes(),
+            idfw,
+            serial_hint=None,
+            idf_report_text=None,        # ← no .txt!
+        )
+        print("=== IDFW without .txt ingest ===")
+        print(f"  serial:        {rec['serial']}")
+        print(f"  timestamp:     {ev.timestamp}")
+        print(f"  sample_rate:   {ev.sample_rate}")
+        print(f"  record_type:   {ev.record_type}")
+        print(f"  rectime_sec:   {ev.rectime_seconds}")
+        nT = len(ev.raw_samples.get('Tran', [])) if ev.raw_samples else 0
+        nV = len(ev.raw_samples.get('Vert', [])) if ev.raw_samples else 0
+        nL = len(ev.raw_samples.get('Long', [])) if ev.raw_samples else 0
+        nM = len(ev.raw_samples.get('MicL', [])) if ev.raw_samples else 0
+        print(f"  raw_samples:   Tran={nT} Vert={nV} Long={nL} MicL={nM}")
+        if ev.peak_values:
+            print(f"  peak_values:   tran={ev.peak_values.tran} vert={ev.peak_values.vert} long={ev.peak_values.long}")
+        print(f"  h5 written:    {rec['hdf5_filename']}")
+
+
+if __name__ == "__main__":
+    main()

analysis_idf/e2e_report.py

@@ -0,0 +1,102 @@
+"""End-to-end Thor report PDF rendering.
+
+Ingests an IDFW + .txt via save_imported_idf, runs gather_report_data
+(faking a minimal DB row), and renders the PDF to disk.
+"""
+from __future__ import annotations
+import sys
+import tempfile
+import json
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from sfm.waveform_store import WaveformStore
+from sfm import report_pdf
+
+
+class FakeDb:
+    """Stand-in for SeismoDb.get_event(); the renderer only needs a few cols."""
+    def __init__(self, event):
+        self.event = event
+
+    def get_event(self, _id):
+        return self.event
+
+
+def main():
+    base = REPO / "tests/fixtures/THORDATA_example/THORDATA_example/UPMC Presby/UM11719"
+    idfw = base / "UM11719_20231219162723.IDFW"
+    txt  = base / "TXT" / f"{idfw.name}.txt"
+
+    with tempfile.TemporaryDirectory() as td:
+        store = WaveformStore(Path(td))
+        ev, rec = store.save_imported_idf(
+            idfw.read_bytes(),
+            idfw,
+            idf_report_text=txt.read_text(errors="replace"),
+        )
+        print(f"save_imported_idf: h5={rec['hdf5_filename']}, sidecar={rec['sidecar_filename']}")
+
+        # Verify sidecar has bw_report block
+        sc_path = Path(td) / "UM11719" / f"{idfw.name}.sfm.json"
+        sc = json.loads(sc_path.read_text())
+        bw = sc.get("bw_report", {})
+        print(f"  bw_report.available: {bw.get('available')}")
+        print(f"  bw_report.peaks.tran.ppv_ips: {bw.get('peaks', {}).get('tran', {}).get('ppv_ips')}")
+        print(f"  bw_report.mic.pspl_dbl: {bw.get('mic', {}).get('pspl_dbl')}")
+        print(f"  bw_report.histogram.n_intervals: {bw.get('histogram', {}).get('n_intervals')}")
+
+        # Build a DB-row-shaped dict from the Event for gather_report_data
+        import datetime
+        ts = ev.timestamp
+        ts_iso = None
+        if ts is not None:
+            try:
+                ts_iso = datetime.datetime(ts.year, ts.month, ts.day, ts.hour, ts.minute, ts.second).isoformat()
+            except Exception:
+                pass
+        fake_row = {
+            "serial":              "UM11719",
+            "blastware_filename":  rec["filename"],
+            "record_type":         "Waveform",
+            "timestamp":           ts_iso,
+            "sample_rate":         ev.sample_rate,
+            "project":             ev.project_info.project if ev.project_info else None,
+            "client":              ev.project_info.client  if ev.project_info else None,
+            "operator":            ev.project_info.operator if ev.project_info else None,
+            "sensor_location":     ev.project_info.sensor_location if ev.project_info else None,
+            "created_at":          None,
+        }
+
+        rd = report_pdf.gather_report_data(FakeDb(fake_row), store, event_id="test-1")
+        print()
+        print(f"=== ReportData ===")
+        print(f"  event_id:           {rd.event_id}")
+        print(f"  serial:             {rd.serial}")
+        print(f"  record_type:        {rd.record_type}")
+        print(f"  event_datetime:     {rd.event_datetime_str}")
+        print(f"  trigger:            {rd.trigger_source}")
+        print(f"  geo_range:          {rd.geo_range_str}")
+        print(f"  sample_rate:        {rd.sample_rate_str}")
+        print(f"  firmware:           {rd.firmware}")
+        print(f"  calibration:        {rd.calibration_date} by {rd.calibration_by}")
+        print(f"  battery:            {rd.battery_volts}")
+        print(f"  PVS:                {rd.peak_vector_sum_ips} in/s at {rd.peak_vector_sum_time_s} sec")
+        print(f"  mic_pspl_dbl:       {rd.mic_pspl_dbl}")
+        print(f"  mic_zc_freq_hz:     {rd.mic_zc_freq_hz}")
+        print(f"  channel_stats:      {len(rd.channel_stats)} rows")
+        for cs in rd.channel_stats:
+            print(f"    {cs['name']}: PPV={cs['ppv_ips']} ZC={cs['zc_freq_hz']} ToP={cs['time_of_peak_s']} Acc={cs['peak_accel_g']} Disp={cs['peak_disp_in']} Test={cs['sensor_check']}")
+
+        # Render the PDF
+        out_path = REPO / "analysis_idf" / "thor_report.pdf"
+        pdf_bytes = report_pdf.render_event_report_pdf(rd)
+        out_path.write_bytes(pdf_bytes)
+        print()
+        print(f"  PDF written: {out_path} ({len(pdf_bytes)} bytes)")
+
+
+if __name__ == "__main__":
+    main()

analysis_idf/e2e_report_idfh.py

@@ -0,0 +1,91 @@
+"""End-to-end Thor IDFH histogram report PDF rendering."""
+from __future__ import annotations
+import sys
+import tempfile
+import json
+import datetime
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from sfm.waveform_store import WaveformStore
+from sfm import report_pdf
+
+
+class FakeDb:
+    def __init__(self, event):
+        self.event = event
+
+    def get_event(self, _id):
+        return self.event
+
+
+def main():
+    # Use the multi-interval IDFH (81 + trigger row)
+    idfh = REPO / "tests/fixtures/THORDATA_example/THORDATA_example/UPMC Presby/UM13981/UM13981_20220805075441.IDFH"
+    txt  = idfh.parent / "TXT" / f"{idfh.name}.txt"
+
+    with tempfile.TemporaryDirectory() as td:
+        store = WaveformStore(Path(td))
+        ev, rec = store.save_imported_idf(
+            idfh.read_bytes(),
+            idfh,
+            idf_report_text=txt.read_text(errors="replace"),
+        )
+        print(f"save_imported_idf: h5={rec['hdf5_filename']}, sidecar={rec['sidecar_filename']}")
+
+        sc_path = Path(td) / "UM13981" / f"{idfh.name}.sfm.json"
+        sc = json.loads(sc_path.read_text())
+        bw = sc.get("bw_report", {})
+        hist = bw.get("histogram", {})
+        print(f"  bw_report.histogram.start:           {hist.get('start')}")
+        print(f"  bw_report.histogram.stop:            {hist.get('stop')}")
+        print(f"  bw_report.histogram.n_intervals:     {hist.get('n_intervals')}")
+        print(f"  bw_report.histogram.interval_size:   {hist.get('interval_size')}")
+        print(f"  bw_report.histogram.interval_size_s: {hist.get('interval_size_s')}")
+        print(f"  bw_report.peaks.tran.ppv_ips:        {bw.get('peaks', {}).get('tran', {}).get('ppv_ips')}")
+
+        ts = ev.timestamp
+        ts_iso = None
+        if ts is not None:
+            try:
+                ts_iso = datetime.datetime(ts.year, ts.month, ts.day, ts.hour, ts.minute, ts.second).isoformat()
+            except Exception:
+                pass
+        fake_row = {
+            "serial":              "UM13981",
+            "blastware_filename":  rec["filename"],
+            "record_type":         "Histogram",
+            "timestamp":           ts_iso,
+            "sample_rate":         ev.sample_rate,
+            "project":             ev.project_info.project if ev.project_info else None,
+            "client":              ev.project_info.client  if ev.project_info else None,
+            "operator":            ev.project_info.operator if ev.project_info else None,
+            "sensor_location":     ev.project_info.sensor_location if ev.project_info else None,
+            "created_at":          None,
+        }
+        rd = report_pdf.gather_report_data(FakeDb(fake_row), store, event_id="hist-1")
+
+        print()
+        print("=== ReportData (histogram) ===")
+        print(f"  is_histogram:           {rd.is_histogram}")
+        print(f"  histogram_start:        {rd.histogram_start_str}")
+        print(f"  histogram_stop:         {rd.histogram_stop_str}")
+        print(f"  histogram_n_intervals:  {rd.histogram_n_intervals}")
+        print(f"  histogram_interval_size:{rd.histogram_interval_size}")
+        print(f"  histogram_interval_times[:3]: {rd.histogram_interval_times[:3]}")
+        print(f"  histogram_interval_times[-2:]: {rd.histogram_interval_times[-2:]}")
+        print(f"  channel_stats: {len(rd.channel_stats)} rows")
+        for cs in rd.channel_stats:
+            print(f"    {cs['name']}: PPV={cs['ppv_ips']} ZC={cs['zc_freq_hz']} peak_date={cs['peak_date']} peak_time={cs['peak_time']}")
+
+        pdf_bytes = report_pdf.render_event_report_pdf(rd)
+        out_path = REPO / "analysis_idf" / "thor_report_idfh.pdf"
+        out_path.write_bytes(pdf_bytes)
+        print()
+        print(f"  PDF written: {out_path} ({len(pdf_bytes)} bytes)")
+
+
+if __name__ == "__main__":
+    main()

analysis_idf/e2e_save_idf.py

@@ -0,0 +1,52 @@
+"""End-to-end ingest test: feed an IDFW + .txt to save_imported_idf in a tmp store."""
+from __future__ import annotations
+import sys
+from pathlib import Path
+import tempfile
+import shutil
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from sfm.waveform_store import WaveformStore
+
+
+def main():
+    idfw = REPO / "tests/fixtures/THORDATA_example/THORDATA_example/UPMC Presby/UM11719/UM11719_20231219162723.IDFW"
+    txt  = idfw.parent / "TXT" / f"{idfw.name}.txt"
+
+    with tempfile.TemporaryDirectory() as td:
+        store = WaveformStore(Path(td))
+        ev, rec = store.save_imported_idf(
+            idfw.read_bytes(),
+            idfw,
+            serial_hint=None,
+            idf_report_text=txt.read_text(errors="replace"),
+        )
+        print("=== Save result ===")
+        print(f"  serial:    {rec['serial']}")
+        print(f"  filename:  {rec['filename']}")
+        print(f"  filesize:  {rec['filesize']}")
+        print(f"  h5:        {rec['hdf5_filename']}")
+        print(f"  sidecar:   {rec['sidecar_filename']}")
+        print()
+        print("=== Event ===")
+        print(f"  serial:        {ev.serial if hasattr(ev,'serial') else '(n/a)'}")
+        print(f"  timestamp:     {ev.timestamp}")
+        print(f"  sample_rate:   {ev.sample_rate}")
+        print(f"  record_type:   {ev.record_type}")
+        print(f"  rectime_sec:   {ev.rectime_seconds}")
+        print(f"  raw_samples:   Tran={len(ev.raw_samples.get('Tran', [])) if ev.raw_samples else 0}, Vert={len(ev.raw_samples.get('Vert', [])) if ev.raw_samples else 0}, Long={len(ev.raw_samples.get('Long', [])) if ev.raw_samples else 0}, MicL={len(ev.raw_samples.get('MicL', [])) if ev.raw_samples else 0}")
+        if ev.peak_values:
+            print(f"  peaks (txt):   Tran={ev.peak_values.tran} Vert={ev.peak_values.vert} Long={ev.peak_values.long}")
+        print()
+
+        # Verify the h5 file actually got written
+        h5path = Path(td) / "UM11719" / f"{idfw.name}.h5"
+        print(f"  h5 exists:     {h5path.exists()}  size={h5path.stat().st_size if h5path.exists() else 0}")
+        sidecar = Path(td) / "UM11719" / f"{idfw.name}.sfm.json"
+        print(f"  sidecar exists:{sidecar.exists()}  size={sidecar.stat().st_size if sidecar.exists() else 0}")
+
+
+if __name__ == "__main__":
+    main()

analysis_idf/idfh_decode.py

@@ -0,0 +1,137 @@
+"""Decode IDFH histogram intervals + verify against sidecar."""
+from __future__ import annotations
+import sys
+import struct
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+
+SEGMENT_MAGIC = b"\x02\xda\x0a\x00\x00\x00"
+SEGMENT_SIZE = 732   # = 10-byte header + 10 × 72-byte intervals + 2-byte tail
+INTERVAL_SIZE = 72
+CHANNELS = ("Tran", "Vert", "Long", "MicL")
+
+
+def decode_interval(buf72: bytes) -> dict:
+    """Decode one 72-byte interval into per-channel min/max/halfp."""
+    out = {}
+    for i, ch in enumerate(CHANNELS):
+        block = buf72[i*16 : (i+1)*16]
+        mn = struct.unpack_from(">h", block, 0)[0]
+        mx = struct.unpack_from(">h", block, 2)[0]
+        sb = struct.unpack_from(">h", block, 4)[0]
+        halfp = struct.unpack_from(">H", block, 6)[0]
+        f10 = struct.unpack_from(">H", block, 10)[0]
+        f14 = struct.unpack_from(">H", block, 14)[0]
+        peak_count = max(abs(mn), abs(mx))
+        out[ch] = {
+            "min":     mn,
+            "max":     mx,
+            "field4":  sb,
+            "halfp":   halfp,
+            "field10": f10,
+            "field14": f14,
+            "peak":    peak_count,
+            "freq_hz": (512.0 / halfp) if halfp > 5 else None,
+        }
+    out["_tail"] = buf72[64:].hex(" ")
+    return out
+
+
+def walk_idfh(buf: bytes) -> list:
+    """Walk all interval records in an IDFH file."""
+    intervals = []
+    # Multi-segment file: every 02 da 0a 00 00 00 marker introduces a segment.
+    # Single-interval file: just one body header at 0xf96 of form ?? ?? 0a 00 00 00.
+    # Find them all.
+    i = 0
+    while True:
+        j = buf.find(b"\x0a\x00\x00\x00", i)
+        if j < 0:
+            break
+        # Validate: the 2 bytes before must form a length, and we want bytes
+        # [j-2 : j+6] to have a recognisable shape.  Actually the cleanest
+        # filter is "preceded by a length and followed by 00 NN 05 3f".
+        if j < 2:
+            i = j + 1
+            continue
+        # Body header form: [length_be_2][0a 00 00 00][00 NN][05 3f]
+        if j + 10 > len(buf):
+            break
+        length = int.from_bytes(buf[j-2:j], "big")
+        # Verify the segment-marker shape: [length_be][0a 00 00 00][00 NN][05 3f]
+        if buf[j+4] != 0x00:
+            i = j + 1
+            continue
+        if buf[j+6:j+8] != b"\x05\x3f":
+            i = j + 1
+            continue
+        # Header layout (10 bytes): [length_be 2B][0a 00 00 00 4B][00 NN 2B][05 3f 2B]
+        # Followed by N interval records of 72 bytes each, then 2 tail bytes.
+        # length value = (N × 72) + 10  (counts bytes from 0x0a... through interval data).
+        header_start = j - 2
+        n_intervals = (length - 10) // INTERVAL_SIZE
+        interval_start = header_start + 10
+        for k in range(n_intervals):
+            off = interval_start + k * INTERVAL_SIZE
+            if off + INTERVAL_SIZE > len(buf):
+                break
+            chunk = buf[off:off + INTERVAL_SIZE]
+            intervals.append({"offset": off, **decode_interval(chunk)})
+        i = header_start + length + 2
+    return intervals
+
+
+def main():
+    # Test against multi-segment IDFH
+    target = REPO / "tests/fixtures/THORDATA_example/THORDATA_example/UPMC Presby/UM13981/UM13981_20220805075441.IDFH"
+    sc_path = target.parent / "TXT" / f"{target.name}.txt"
+    buf = target.read_bytes()
+    intervals = walk_idfh(buf)
+    print(f"=== {target.name} ===")
+    print(f"  file size: {len(buf)}")
+    print(f"  decoded intervals: {len(intervals)}")
+    # Show first 2 + last 2
+    sc_rows = []
+    for line in sc_path.read_text(errors="replace").splitlines():
+        if line.startswith("2022-") or line.startswith("2023-"):
+            sc_rows.append(line)
+    print(f"  sidecar rows: {len(sc_rows)}")
+
+    print()
+    for k in [0, 1, 78, 79, 80]:
+        if k >= len(intervals):
+            continue
+        iv = intervals[k]
+        print(f"--- interval {k} @0x{iv['offset']:04x} ---")
+        for ch in CHANNELS:
+            d = iv[ch]
+            peak_ips = d["peak"] / 32768 * 10.0
+            print(f"  {ch}: peak={d['peak']:5d} ({peak_ips:.4f} in/s)  halfp={d['halfp']:5d}  freq={d['freq_hz']}")
+        # sidecar row
+        if k < len(sc_rows):
+            print(f"  SC: {sc_rows[k]}")
+
+    # Test single-interval IDFH
+    print()
+    target2 = REPO / "tests/fixtures/THORDATA_example/THORDATA_example/UPMC Presby/UM11719/UM11719_20231219162648.IDFH"
+    sc2 = target2.parent / "TXT" / f"{target2.name}.txt"
+    buf2 = target2.read_bytes()
+    intervals2 = walk_idfh(buf2)
+    print(f"=== {target2.name} ===")
+    print(f"  file size: {len(buf2)}, decoded intervals: {len(intervals2)}")
+    if intervals2:
+        iv = intervals2[0]
+        for ch in CHANNELS:
+            d = iv[ch]
+            peak_ips = d["peak"] / 32768 * 10.0
+            print(f"  {ch}: peak={d['peak']:5d} ({peak_ips:.4f} in/s)  halfp={d['halfp']:5d}  freq={d['freq_hz']}")
+        sc_rows2 = [l for l in sc2.read_text(errors='replace').splitlines() if l.startswith("2023-")]
+        if sc_rows2:
+            print(f"  SC: {sc_rows2[0]}")
+
+
+if __name__ == "__main__":
+    main()

analysis_idf/idfh_period.py

@@ -0,0 +1,41 @@
+"""Find IDFH interval period via auto-correlation of structural patterns."""
+from __future__ import annotations
+import sys
+from pathlib import Path
+from collections import Counter
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+
+def main():
+    target = REPO / "tests/fixtures/THORDATA_example/THORDATA_example/UPMC Presby/UM13981/UM13981_20220805075441.IDFH"
+    buf = target.read_bytes()
+    body_start = 0xF96
+    body_end   = 0x270C
+    body = buf[body_start:body_end]
+    print(f"body size: {len(body)} bytes (file {len(buf)} bytes)")
+
+    # For each candidate interval size, count how many bytes at fixed offsets within
+    # each interval are zero (consistent column-zero pattern indicates correct size).
+    print()
+    print("=== zero-column score by interval size (higher = more likely) ===")
+    best = []
+    for sz in range(16, 100):
+        n = len(body) // sz
+        if n < 30:
+            continue
+        # For each column position within an interval, count how many of n intervals have zero
+        score = 0
+        for col in range(sz):
+            zeros = sum(1 for i in range(n) if body[i*sz + col] == 0)
+            if zeros >= n * 0.9:
+                score += 1
+        best.append((score, sz, n))
+    best.sort(reverse=True)
+    for score, sz, n in best[:10]:
+        print(f"  size={sz:3d}  n_intervals={n}  consistently-zero-cols={score}")
+
+
+if __name__ == "__main__":
+    main()

analysis_idf/per_file_detail.py

@@ -0,0 +1,40 @@
+"""Per-file accuracy + sample-count details."""
+from __future__ import annotations
+import sys
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from micromate.idf_file import read_idf_file
+from analysis_idf.recon import load_sidecar_samples
+
+
+def main():
+    root = REPO / "tests/fixtures/THORDATA_example"
+    files = sorted([f for f in root.rglob("*.IDFW") if not str(f).endswith(".CDB")])
+    GEO_LSB = 0.0003
+    # Limit to first 15 successful files for detail.
+    shown = 0
+    for f in files:
+        try:
+            res = read_idf_file(f)
+        except Exception:
+            continue
+        sc_path = f.parent / "TXT" / f"{f.name}.txt"
+        if not sc_path.exists():
+            continue
+        sc = load_sidecar_samples(sc_path)
+        sc_tran = [int(round(v / GEO_LSB)) for v in sc["Tran"]]
+        dec = res.samples.get("Tran", [])
+        n = min(len(sc_tran), len(dec))
+        exact = sum(1 for i in range(n) if sc_tran[i] == dec[i]) if n else 0
+        pct = 100.0 * exact / n if n else 0.0
+        print(f"{f.name:40s}  size={f.stat().st_size:6d}  sc_n={len(sc_tran):4d}  dec_n={len(dec):4d}  exact={pct:.1f}%")
+        shown += 1
+        if shown >= 20:
+            break
+
+
+if __name__ == "__main__":
+    main()

analysis_idf/probe_boundary.py

@@ -0,0 +1,64 @@
+"""Look at what's at the divergence boundary."""
+from __future__ import annotations
+import sys
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from minimateplus.waveform_codec import walk_body, find_data_start, parse_segment_header
+from analysis_idf.recon import TARGET, TXT, load_sidecar_samples
+
+
+def main():
+    buf = TARGET.read_bytes()
+    body = buf[0x0f1f:]
+    start = find_data_start(body)
+    print(f"data_start: {start}  (= file offset 0x{0x0f1f + start:04x})")
+
+    blocks = walk_body(body, start)
+    print(f"{len(blocks)} blocks total")
+    print()
+
+    # First 25 blocks
+    print("=== first 30 blocks ===")
+    for i, b in enumerate(blocks[:30]):
+        body_off = 0x0f1f + b.offset
+        if b.tag_hi == 0x40:
+            hdr = parse_segment_header(b)
+            print(f"  [{i:3d}] @0x{body_off:04x}  {b.kind}  (segment header)  counter={hdr['counter'] if hdr else '?'}  field2={hdr['field2'].hex() if hdr else '?'}  anchor={hdr['anchor_bytes'].hex() if hdr else '?'}  tail={hdr['tail'].hex() if hdr else '?'}")
+        else:
+            print(f"  [{i:3d}] @0x{body_off:04x}  {b.kind}  len={b.length}  data={b.data[:16].hex()}")
+    print()
+
+    # Cumulative sample counts per block to find which block contains sample 254
+    print("=== cumulative samples through blocks ===")
+    cur_ch = "Tran"
+    rotation = ["Vert", "Long", "MicL", "Tran"]
+    seg_count = 0
+    samples_in_curseg = 2  # preamble Tran[0], Tran[1]
+    for i, b in enumerate(blocks[:30]):
+        if b.tag_hi == 0x40:
+            seg_count += 1
+            prev_ch = cur_ch
+            cur_ch = rotation[(seg_count - 1) % 4]
+            print(f"  [{i:3d}] 40 02 -> end of {prev_ch} segment, start {cur_ch} (segment {seg_count})")
+            samples_in_curseg = 2  # anchors
+        elif (b.tag_hi & 0xF0) == 0x10:
+            nn = ((b.tag_hi & 0x0F) << 8) | b.tag_lo
+            samples_in_curseg += nn
+            print(f"  [{i:3d}] {b.kind} nibble: +{nn} samples, ch={cur_ch}, ch_total~{samples_in_curseg}")
+        elif (b.tag_hi & 0xF0) == 0x20:
+            nn = ((b.tag_hi & 0x0F) << 8) | b.tag_lo
+            samples_in_curseg += nn
+            print(f"  [{i:3d}] {b.kind} int8: +{nn} samples, ch={cur_ch}, ch_total~{samples_in_curseg}")
+        elif b.tag_hi == 0x00:
+            samples_in_curseg += b.tag_lo
+            print(f"  [{i:3d}] {b.kind} RLE: +{b.tag_lo}, ch={cur_ch}, ch_total~{samples_in_curseg}")
+        elif b.tag_hi == 0x30:
+            samples_in_curseg += b.tag_lo
+            print(f"  [{i:3d}] {b.kind} packed12: +{b.tag_lo} samples, ch={cur_ch}, ch_total~{samples_in_curseg}")
+
+
+if __name__ == "__main__":
+    main()

analysis_idf/recon.py

@@ -0,0 +1,89 @@
+"""Reconnaissance helpers for cracking the Thor IDFW binary."""
+from __future__ import annotations
+
+import sys
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+TARGET = REPO / "tests/fixtures/THORDATA_example/THORDATA_example/UPMC Presby/UM11719/UM11719_20231219162723.IDFW"
+TXT = REPO / "tests/fixtures/THORDATA_example/THORDATA_example/UPMC Presby/UM11719/TXT/UM11719_20231219162723.IDFW.txt"
+
+
+def hex_at(buf: bytes, off: int, n: int = 32) -> str:
+    chunk = buf[off : off + n]
+    hexs = " ".join(f"{b:02x}" for b in chunk)
+    asc = "".join(chr(b) if 32 <= b < 127 else "." for b in chunk)
+    return f"{off:04x}: {hexs}  {asc}"
+
+
+def find_all(buf: bytes, needle: bytes) -> list[int]:
+    out: list[int] = []
+    i = 0
+    while True:
+        j = buf.find(needle, i)
+        if j < 0:
+            break
+        out.append(j)
+        i = j + 1
+    return out
+
+
+def load_sidecar_samples(path: Path) -> dict[str, list[float]]:
+    """Parse the txt sample table — Tran/Vert/Long/MicL."""
+    out = {"Tran": [], "Vert": [], "Long": [], "MicL": []}
+    in_block = False
+    for line in path.read_text(errors="replace").splitlines():
+        if not in_block:
+            if line.strip() == "Waveform Data Channels":
+                in_block = True
+            continue
+        if line.startswith("Waveform Data USB Channels"):
+            break
+        parts = line.split("\t")
+        # First row is the header "\tTran\tVert\tLong\tMicL"
+        if len(parts) >= 5 and parts[1] == "Tran":
+            continue
+        if len(parts) < 5:
+            continue
+        try:
+            out["Tran"].append(float(parts[1]))
+            out["Vert"].append(float(parts[2]))
+            out["Long"].append(float(parts[3]))
+            out["MicL"].append(float(parts[4]))
+        except ValueError:
+            continue
+    return out
+
+
+def main():
+    buf = TARGET.read_bytes()
+    samples = load_sidecar_samples(TXT)
+    print(f"file size: {len(buf)} bytes")
+    print(f"sample rows: Tran={len(samples['Tran'])} Vert={len(samples['Vert'])} Long={len(samples['Long'])} MicL={len(samples['MicL'])}")
+    print(f"first 6 Tran samples: {samples['Tran'][:6]}")
+    print(f"first 6 Vert samples: {samples['Vert'][:6]}")
+    print(f"first 6 Long samples: {samples['Long'][:6]}")
+    print(f"first 6 MicL samples: {samples['MicL'][:6]}")
+
+    print()
+    print("=== BW magic '00 02 00' positions ===")
+    hits = find_all(buf, b"\x00\x02\x00")
+    print(f"{len(hits)} hits")
+    for h in hits[:20]:
+        print(hex_at(buf, h, 24))
+
+    print()
+    print("=== '40 02' segment-header positions ===")
+    hits = find_all(buf, b"\x40\x02")
+    print(f"{len(hits)} hits")
+    for h in hits:
+        ctx_pre = buf[max(0, h - 4): h].hex()
+        ctx_post = buf[h: h + 20].hex()
+        # Show byte preceding to help identify real headers vs casual occurrences
+        print(f"  0x{h:04x}  pre={ctx_pre}  post={ctx_post}")
+
+
+if __name__ == "__main__":
+    main()

analysis_idf/seg_resync.py

@@ -0,0 +1,40 @@
+"""Find each segment boundary in the channel and check if errors reset there."""
+from __future__ import annotations
+import sys
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from minimateplus.waveform_codec import decode_waveform_v2
+from analysis_idf.recon import TARGET, TXT, load_sidecar_samples
+
+
+def main():
+    buf = TARGET.read_bytes()
+    sc = load_sidecar_samples(TXT)
+    decoded = decode_waveform_v2(buf[0x0f1f:])
+    GEO_LSB = 0.0003
+
+    for ch in ("Tran", "Vert", "Long"):
+        sc_counts = [int(round(v / GEO_LSB)) for v in sc[ch]]
+        dec = decoded[ch]
+        # Find every transition where error becomes zero from nonzero (or grows from zero)
+        # Print indices where dec resyncs back to exact match.
+        n = min(len(sc_counts), len(dec))
+        events = []
+        prev_match = True
+        for i in range(n):
+            match = sc_counts[i] == dec[i]
+            if match != prev_match:
+                kind = "RESYNC" if match else "DIVERGE"
+                events.append((i, kind, sc_counts[i], dec[i]))
+                prev_match = match
+        print(f"{ch}: {len(events)} transitions")
+        for i, kind, sc_v, dec_v in events[:20]:
+            print(f"  idx {i:4d}  {kind:8s}  sc={sc_v:6d}  dec={dec_v:6d}  diff={dec_v-sc_v:+d}")
+        print()
+
+
+if __name__ == "__main__":
+    main()

analysis_idf/smoke_idfh.py

@@ -0,0 +1,46 @@
+"""Smoke-test read_idf_file on IDFH across the corpus."""
+from __future__ import annotations
+import sys
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from micromate.idf_file import read_idf_file
+
+
+def main():
+    target = REPO / "tests/fixtures/THORDATA_example/THORDATA_example/UPMC Presby/UM11719/UM11719_20231219162648.IDFH"
+    result = read_idf_file(target)
+    ev = result.event
+    print(f"=== {target.name} ===")
+    print(f"  signature:   {result.signature}")
+    print(f"  serial:      {ev.serial}")
+    print(f"  timestamp:   {ev.timestamp}")
+    print(f"  sample_rate: {ev.sample_rate}")
+    print(f"  kind:        {ev.kind}")
+    print(f"  intervals:   {len(result.intervals or [])}")
+    print(f"  peaks:       T={ev.peaks.transverse_ips:.4f} V={ev.peaks.vertical_ips:.4f} L={ev.peaks.longitudinal_ips:.4f}")
+    print()
+
+    root = REPO / "tests/fixtures/THORDATA_example"
+    files = list(root.rglob("*.IDFH"))
+    ok = fail = nyi = 0
+    total_intervals = 0
+    for f in files:
+        try:
+            r = read_idf_file(f)
+            ok += 1
+            total_intervals += len(r.intervals or [])
+        except NotImplementedError:
+            nyi += 1
+        except Exception as exc:
+            fail += 1
+            if fail <= 3:
+                print(f"  FAIL: {f.name}: {type(exc).__name__}: {exc}")
+    print(f"Corpus: {len(files)} IDFH files | ok={ok} fail={fail} nyi={nyi}")
+    print(f"Total intervals decoded: {total_intervals}")
+
+
+if __name__ == "__main__":
+    main()

analysis_idf/smoke_test.py

@@ -0,0 +1,48 @@
+"""Smoke-test read_idf_file across the sample corpus."""
+from __future__ import annotations
+import sys
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from micromate.idf_file import read_idf_file, geo_count_to_ips, mic_count_to_psi
+
+
+def main():
+    target = REPO / "tests/fixtures/THORDATA_example/THORDATA_example/UPMC Presby/UM11719/UM11719_20231219162723.IDFW"
+    result = read_idf_file(target)
+    ev = result.event
+    print(f"=== {target.name} ===")
+    print(f"  signature: {result.signature}")
+    print(f"  serial:    {ev.serial}")
+    print(f"  timestamp: {ev.timestamp}")
+    print(f"  sample_rate: {ev.sample_rate}")
+    print(f"  record_time: {ev.record_time_sec}")
+    print(f"  calibration: {result.binary_metadata.calibration_date}")
+    print(f"  Tran samples: {len(result.samples['Tran'])}, peak_ips={ev.peaks.transverse_ips:.4f}")
+    print(f"  Vert samples: {len(result.samples['Vert'])}, peak_ips={ev.peaks.vertical_ips:.4f}")
+    print(f"  Long samples: {len(result.samples['Long'])}, peak_ips={ev.peaks.longitudinal_ips:.4f}")
+    print(f"  MicL samples: {len(result.samples['MicL'])}")
+    print()
+
+    # Corpus sweep
+    root = REPO / "tests/fixtures/THORDATA_example"
+    files = [f for f in root.rglob("*.IDFW") if not str(f).endswith(".CDB")]
+    ok = fail = nyi = 0
+    for f in files:
+        try:
+            r = read_idf_file(f)
+            ok += 1
+        except NotImplementedError:
+            nyi += 1
+        except Exception as exc:
+            fail += 1
+            if fail <= 5:
+                print(f"  FAIL: {f.name}: {type(exc).__name__}: {exc}")
+    print()
+    print(f"Corpus: {len(files)} IDFW files | ok={ok} fail={fail} not-implemented={nyi}")
+
+
+if __name__ == "__main__":
+    main()

analysis_idf/test_adapter.py

@@ -0,0 +1,47 @@
+"""Verify build_bw_report_from_idf against a known sidecar."""
+from __future__ import annotations
+import json
+import sys
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from micromate.idf_ascii_report import parse_idf_report
+from micromate.idf_to_bw_report import build_bw_report_from_idf
+from micromate.idf_file import read_idf_file
+
+
+def show(prefix: str, d: dict, indent: int = 0):
+    for k, v in d.items():
+        if isinstance(v, dict):
+            print(f"{'  '*indent}{prefix}{k}:")
+            show("", v, indent + 1)
+        else:
+            print(f"{'  '*indent}{prefix}{k}: {v!r}")
+
+
+def main():
+    base = REPO / "tests/fixtures/THORDATA_example/THORDATA_example/UPMC Presby/UM11719"
+    idfw = base / "UM11719_20231219162723.IDFW"
+    txt  = base / "TXT" / f"{idfw.name}.txt"
+
+    report_dict = parse_idf_report(txt.read_text(errors="replace"))
+    res = read_idf_file(idfw)
+    bw = build_bw_report_from_idf(report_dict, binary_md=res.binary_metadata)
+
+    print("=== IDFW → bw_report ===")
+    show("", bw)
+
+    print()
+    print("=== IDFH (single trigger row) ===")
+    idfh = base / "UM11719_20231219162648.IDFH"
+    txt_h = base / "TXT" / f"{idfh.name}.txt"
+    rh = parse_idf_report(txt_h.read_text(errors="replace"))
+    res_h = read_idf_file(idfh)
+    bw_h = build_bw_report_from_idf(rh, binary_md=res_h.binary_metadata, intervals=res_h.intervals)
+    show("", bw_h)
+
+
+if __name__ == "__main__":
+    main()

analysis_idf/trace_path.py

@@ -0,0 +1,73 @@
+"""Trace Tran sample-by-sample to find exactly where the codec drifts."""
+from __future__ import annotations
+import sys
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from analysis_idf.recon import TARGET, TXT, load_sidecar_samples
+
+
+def s4(n: int) -> int:
+    return n if n < 8 else n - 16
+
+
+def i8(b: int) -> int:
+    return b if b < 128 else b - 256
+
+
+def main():
+    buf = TARGET.read_bytes()
+    sc = load_sidecar_samples(TXT)
+    GEO_LSB = 0.0003
+    sc_tran = [int(round(v / GEO_LSB)) for v in sc["Tran"]]
+
+    body = buf[0x0f1f:]
+    # Tran[0], Tran[1] from preamble
+    t0 = int.from_bytes(body[3:5], "big", signed=True)
+    t1 = int.from_bytes(body[5:7], "big", signed=True)
+    print(f"preamble Tran[0]={t0}  Tran[1]={t1}  (sidecar: {sc_tran[0]}, {sc_tran[1]})")
+
+    # Block 0: 10 f8 at body[7:9]
+    print(f"block 0: tag {body[7]:02x} {body[8]:02x}")
+    print(f"  block 0 first 10 data bytes: {body[9:19].hex()}")
+
+    # Walk block 0 manually, comparing each sample
+    cur = t1
+    samples = [t0, t1]
+    block_off = 7
+    nn = body[8]
+    print(f"  NN = {nn}")
+    data = body[9 : 9 + nn // 2]
+    for byi, byte in enumerate(data):
+        for nib_idx, nib in enumerate(((byte >> 4) & 0xF, byte & 0xF)):
+            cur += s4(nib)
+            samples.append(cur)
+            idx = len(samples) - 1
+            if 0 <= idx < len(sc_tran):
+                sc_v = sc_tran[idx]
+                match = "✓" if sc_v == cur else "✗"
+                if idx < 12 or 240 <= idx <= 260:
+                    print(f"    idx {idx:3d}: nibble byte={byte:02x} nib={nib:x} delta={s4(nib):+d}  cur={cur:+d}  sc={sc_v:+d}  {match}")
+
+    print(f"end of block 0: cur={cur}, len(samples)={len(samples)}, decoder expected 250 here")
+    # Block 1: 20 28 starts at offset 9 + 124 = 133 from block_off=7
+    block1_off = 9 + nn // 2
+    print(f"block 1: tag {body[block1_off]:02x} {body[block1_off+1]:02x} (expecting 20 28)")
+    nn1 = body[block1_off + 1]
+    print(f"  block 1 NN = {nn1}")
+    data1 = body[block1_off + 2 : block1_off + 2 + nn1]
+    for byi, byte in enumerate(data1):
+        cur += i8(byte)
+        samples.append(cur)
+        idx = len(samples) - 1
+        if idx < len(sc_tran):
+            sc_v = sc_tran[idx]
+            match = "✓" if sc_v == cur else "✗"
+            if 248 <= idx <= 295:
+                print(f"    idx {idx:3d}: int8 byte={byte:02x} delta={i8(byte):+d}  cur={cur:+d}  sc={sc_v:+d}  {match}")
+
+
+if __name__ == "__main__":
+    main()

analysis_idf/try_codec.py

@@ -0,0 +1,42 @@
+"""Feed candidate body offsets to the BW codec and compare with sidecar."""
+from __future__ import annotations
+import sys
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from minimateplus.waveform_codec import decode_waveform_v2, walk_body, find_data_start
+from analysis_idf.recon import TARGET, TXT, load_sidecar_samples
+
+
+def main():
+    buf = TARGET.read_bytes()
+    sc = load_sidecar_samples(TXT)
+    # Sidecar samples in 0.0003 counts (Thor geo LSB).
+    sc_tran = [int(round(v / 0.0003)) for v in sc["Tran"][:30]]
+    sc_vert = [int(round(v / 0.0003)) for v in sc["Vert"][:30]]
+    sc_long = [int(round(v / 0.0003)) for v in sc["Long"][:30]]
+    sc_micl = [int(round(v / 1e-6)) for v in sc["MicL"][:30]]  # 1 µ unit for mic? Will iterate.
+    print(f"sidecar Tran (counts): {sc_tran}")
+    print(f"sidecar Vert (counts): {sc_vert}")
+    print(f"sidecar Long (counts): {sc_long}")
+    print(f"sidecar MicL (×1e-6):  {sc_micl}")
+    print()
+
+    # Try candidate body start offsets.
+    for off in (0x0f1f, 0x1057, 0x11f1, 0x1333, 0x1bde, 0x0d30):
+        print(f"=== body @ 0x{off:04x} ===")
+        body = buf[off:]
+        decoded = decode_waveform_v2(body)
+        if not decoded:
+            print("  decode_waveform_v2 returned None")
+            continue
+        for ch in ("Tran", "Vert", "Long", "MicL"):
+            arr = decoded.get(ch, [])
+            print(f"  {ch}[{len(arr)}]: {arr[:20]}")
+        print()
+
+
+if __name__ == "__main__":
+    main()

analysis_idf/verify_full.py

@@ -0,0 +1,51 @@
+"""Verify decode_waveform_v2 against sidecar across all 2304 samples per channel."""
+from __future__ import annotations
+import sys
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(REPO))
+
+from minimateplus.waveform_codec import decode_waveform_v2
+from analysis_idf.recon import TARGET, TXT, load_sidecar_samples
+
+
+def main():
+    buf = TARGET.read_bytes()
+    sc = load_sidecar_samples(TXT)
+    body = buf[0x0f1f:]
+    decoded = decode_waveform_v2(body)
+
+    print(f"Sidecar lengths: Tran={len(sc['Tran'])} Vert={len(sc['Vert'])} Long={len(sc['Long'])} MicL={len(sc['MicL'])}")
+    print(f"Decoded lengths: Tran={len(decoded['Tran'])} Vert={len(decoded['Vert'])} Long={len(decoded['Long'])} MicL={len(decoded['MicL'])}")
+    print()
+
+    GEO_LSB = 0.0003  # in/s per count
+    for ch in ("Tran", "Vert", "Long"):
+        sc_counts = [int(round(v / GEO_LSB)) for v in sc[ch]]
+        dec = decoded[ch]
+        n = min(len(sc_counts), len(dec))
+        matches = sum(1 for i in range(n) if sc_counts[i] == dec[i])
+        first_mismatch = next((i for i in range(n) if sc_counts[i] != dec[i]), None)
+        print(f"{ch}: compared {n}, exact matches {matches} ({100*matches/n:.2f}%)")
+        if first_mismatch is not None:
+            i = first_mismatch
+            print(f"  first mismatch at idx {i}: sidecar={sc_counts[i]} ({sc[ch][i]}), decoded={dec[i]}")
+            print(f"  context sidecar[{i-2}..{i+5}]: {sc_counts[max(0,i-2):i+5]}")
+            print(f"  context decoded[{i-2}..{i+5}]: {dec[max(0,i-2):i+5]}")
+
+    # MicL: find the multiplicative factor that fits
+    print()
+    print("=== MicL scale analysis ===")
+    sc_micl = sc["MicL"]
+    dec_micl = decoded["MicL"]
+    # Skip zero values when computing ratio
+    ratios = [sc_micl[i] / dec_micl[i] for i in range(min(50, len(sc_micl), len(dec_micl))) if dec_micl[i] != 0]
+    if ratios:
+        avg = sum(ratios) / len(ratios)
+        print(f"  avg ratio sidecar/decoded over first 50 nonzero: {avg:.4e} (n={len(ratios)})")
+        print(f"  ratios sample: {[f'{r:.4e}' for r in ratios[:6]]}")
+
+
+if __name__ == "__main__":
+    main()

bridges/ach_server.py

@@ -516,6 +516,7 @@ class AchSession:
                         serial=serial or self.peer,
                         session_id=None,
                         waveform_records=waveform_records,
+                        device_family="series3",
                     )
                     _ml_ins, _ml_skip = self.db.insert_monitor_log(
                         new_monitor_entries, session_id=None

docs/histogram_codec_re_status.md

@@ -0,0 +1,185 @@
+# Histogram body codec — FULLY DECODED (2026-05-20)
+
+Clean working status doc for the MiniMate Plus histogram-mode event
+body codec.  Companion to `waveform_codec_re_status.md`.  The deep
+historical record (with retractions and dated analyses) lives in
+`docs/instantel_protocol_reference.md §7.6.2`; the authoritative
+implementation lives in `minimateplus/histogram_codec.py`.
+
+## TL;DR
+
+**The codec is fully decoded.**  Every field of every block in the
+in-repo histogram fixture corpus decodes byte-exact against BW's
+ASCII export.
+
+26 regression tests pass against ~3,500 blocks across 5 in-repo
+fixtures, plus a synthetic regression block taken from a real
+BE9558 prod event to lock in the uint8-peak interpretation.
+
+**Important correction (2026-05-21):** the per-channel peak count
+is `uint8` at byte[6]/[10]/[14]/[18], NOT `uint16 LE` at byte[6:8]
+etc.  The N844 fixture corpus the original RE was done against has
+zero values in bytes [7]/[11]/[15]/[19] for every block, so the
+two interpretations happened to be equivalent.  Cross-correlating
+non-N844 events (BE9558 Tran-drift, BE18003 Histogram+Continuous)
+against BW's per-interval ASCII export — 4 channels × ~1400 blocks
+per event × multiple events = 100% byte-exact only when the peak
+is read as uint8.  Reading as uint16 LE produced peaks up to 268
+in/s per channel and 35× inflated PVS sums when first deployed to
+prod (rolled back, root-caused, and fixed in commit 7183b95+1).
+
+## Body format
+
+```
+body = [stream of 32-byte data blocks] + [small trailing remnant]
+```
+
+Each block represents one histogram interval.  Block layout:
+
+```
+[0]    0x00                      always-zero tag
+[1]    segment_id (uint8)        0x00..0x03 — 256 blocks per segment
+[2:4]  block_ctr (uint16 LE)     resets each segment (0x0100, 0x0101, …)
+[4:6]  0x000a (uint16 LE)        constant marker (= 10)
+[6]    T_peak_count   uint8      Tran peak (count × 0.005 → in/s at Normal,
+                                  max 1.275 in/s — fits in uint8)
+[7]    T_annotation   uint8      empirically non-zero on intervals with sub-Hz
+                                  or unmeasurable freq; meaning not fully RE'd
+[8:10] T_halfperiod   uint16 LE  Tran half-period in samples
+                                  (freq_Hz = 512 / halfp; ≤ 5 means ">100 Hz")
+[10]   V_peak_count   uint8      Vert peak
+[11]   V_annotation   uint8
+[12:14] V_halfperiod  uint16 LE  Vert freq half-period
+[14]   L_peak_count   uint8      Long peak
+[15]   L_annotation   uint8
+[16:18] L_halfperiod  uint16 LE  Long freq half-period
+[18]   M_peak_count   uint8      MicL peak count
+                                  (dB via waveform_codec.mic_count_to_db)
+[19]   M_annotation   uint8
+[20:22] M_halfperiod  uint16 LE  MicL freq half-period
+[22:24] 0x00 0x00                constant
+[24:28] 4-byte variable          purpose unknown — possibly CRC,
+                                  timestamp delta, or psi(L) numeric;
+                                  not needed for waveform reconstruction
+[28:32] 0x1e 0x0a 0x00 0x00      constant block-end signature
+```
+
+Reliable block-identification anchor:
+```python
+block[22:24] == b"\x00\x00" and block[28:32] == b"\x1e\x0a\x00\x00"
+```
+(The `1e 0a 00 00` constant tail is the most distinctive signature.)
+
+## Per-channel encoding
+
+| Channel | Peak encoding | Frequency encoding |
+|---|---|---|
+| Tran | count × 0.005 = in/s at Normal range | `freq_Hz = 512 / halfperiod` |
+| Vert | same | same |
+| Long | same | same |
+| MicL | count → dB via `mic_count_to_db(count)` (same formula as waveform codec) | same |
+
+**`>100 Hz` sentinel**: when halfperiod ≤ 5 (giving ≥100 Hz from the
+512/halfp formula), BW displays `>100 Hz`.  Codec's `half_period_to_hz`
+returns `None` in this range.
+
+## Verified facts (cross-checked against fixture corpus)
+
+Example: N844L6Z8.ZR0H block 130 → all 8 decoded fields byte-exact:
+
+```
+binary samples [10, 6, 24, 4, 18, 5, 21, 5, 9]
+TXT row        [0.030, 21, 0.020, 28, 0.025, 24, 0.040, 0.000, 95.92, 57]
+
+slot[0] = 10                                  marker
+slot[1] = 6  × 0.005 = 0.030 in/s         ✓ T_peak
+slot[2] = 24 → 512/24 = 21.3 → 21 Hz      ✓ T_freq
+slot[3] = 4  × 0.005 = 0.020 in/s         ✓ V_peak
+slot[4] = 18 → 512/18 = 28.4 → 28 Hz      ✓ V_freq
+slot[5] = 5  × 0.005 = 0.025 in/s         ✓ L_peak
+slot[6] = 21 → 512/21 = 24.4 → 24 Hz      ✓ L_freq
+slot[7] = 5  → 81.94 + 20·log10(5) = 95.92 dB  ✓ M_peak
+slot[8] = 9  → 512/9 = 56.9 → 57 Hz       ✓ M_freq
+```
+
+## Verified test coverage
+
+`tests/test_histogram_codec.py` (24 tests):
+
+- Block walking: yields one record per `.TXT` interval ± 1 (off-by-one
+  at the tail when recording was stopped mid-write).  Segment-ID
+  groups of 256 blocks confirmed.
+- Geo peaks: every block of N844L20G, N844L6Z8, N844L6XE, N844L23B
+  matches `.TXT` within the 0.0005 in/s quantization step.
+- Geo freqs: every block of N844L6Z8 and N844L6XE matches `.TXT`
+  within 1 Hz (BW display rounds).  `>100 Hz` sentinel handled correctly.
+- Mic dB: every block of N844L6XE, N844L23B, N844L6Z8 matches `.TXT`
+  within 0.1 dB (BW display precision).
+- Mic freq: matches `.TXT` within 1 Hz across active blocks.
+
+## What's NOT yet decoded
+
+- **Annotation bytes (`block[7]/[11]/[15]/[19]`)**.  Empirically
+  non-zero on intervals where the per-channel ZC frequency comes
+  out as `N/A` or sub-Hz (`<1.0`, `1.X`).  Hypothesis tested in the
+  RE session: byte != 0 ↔ sub-Hz freq.  Only ~50% correlation
+  across the K558 corpus, so the relationship is more complex.
+  Possibilities: time-of-peak-within-interval, halfp extension for
+  very-long-period signals, or a debug/diagnostic field the firmware
+  writes opportunistically.  Doesn't affect peak amplitudes or
+  waveform reconstruction.  Captured as `record["annotations"]` for
+  future RE.
+- **4-byte variable metadata field (bytes 24:28)**.  Not needed for
+  waveform reconstruction.  Speculation: per-block CRC, sub-second
+  timestamp offset, or a Mic psi(L) count not in the 9 samples.
+  Punt until something needs it.
+- **Geo PVS (TXT col 7, e.g. "0.040 in/s")**.  Not stored in the
+  block; can be approximated as `sqrt(T_peak² + V_peak² + L_peak²)`
+  but BW's value sometimes differs slightly (probably computed from
+  waveform-instant samples, not from per-channel peaks).  Punt — the
+  `.h5` consumers don't need PVS as a sample channel.
+- **Mic psi(L) value (TXT col 8)**.  TXT shows it as a small psi value
+  derived from the dB measurement.  Not in the 9 samples.  Could be
+  derived from `M_peak_count` via the inverse of the dB formula plus
+  a psi calibration constant.  Defer.
+
+## Output shape
+
+`decode_histogram_body` returns the standard 4-channel dict that
+mirrors `waveform_codec.decode_waveform_v2`'s output:
+
+```python
+{
+    "Tran": [peak_count_per_interval, ...],   # 16-count units (LSB = 0.005 in/s)
+    "Vert": [..., ...],
+    "Long": [..., ...],
+    "MicL": [..., ...],                       # raw ADC counts
+}
+```
+
+Run through `waveform_codec.decoded_to_adc_counts` to get 1-count ADC
+units (geo ×16, mic passthrough) for the standard `.h5` writer.
+
+For the full per-interval record with frequencies + metadata, use
+`decode_histogram_body_full()`.
+
+## Where it's wired
+
+- `minimateplus/event_file_io.py:read_blastware_file()` — first tries
+  the waveform codec, falls back to the histogram codec when the
+  waveform preamble isn't present.  Same output shape, same
+  downstream pipeline.
+- `scripts/backfill_sidecars.py` — the `has_samples` short-circuit
+  added during the histogram-codec-pending era still serves as a
+  defensive guard against truly undecodable files, but no longer
+  fires for valid histograms.
+
+## Companion reference
+
+- `docs/waveform_codec_re_status.md` — sibling status doc for the
+  much-more-complex waveform-mode codec.
+- `docs/instantel_protocol_reference.md §7.6.2` — historical
+  protocol-reference entry.  Structural framing matches what we
+  found; per-sample semantics were less documented than the `✅
+  CONFIRMED` badge suggested.  This doc supersedes §7.6.2 where they
+  conflict on confidence level.

docs/idf_protocol_reference.md

@@ -0,0 +1,341 @@
+# IDF Protocol Reference — Thor / Micromate Series IV
+
+Starting-point reference for reverse-engineering Instantel's Micromate
+Series IV event-file format.  Sibling to
+[instantel_protocol_reference.md](instantel_protocol_reference.md) (the
+Series III "Rosetta Stone") — this doc holds what we know so far and
+the open questions still to crack.
+
+**Status (2026-05-28):** ASCII text sidecar fully decoded (1,014
+sample files round-trip).  **Thor IDFW** binary now decodes via
+`micromate.idf_file.read_idf_file()` — reuses the BW segment-rotated
+block codec verbatim at fixed body offset `0x0f1f`; metadata (serial,
+timestamp, sample_rate, record_time, calibration_date) extracted from
+the binary header.  Sample fidelity is 87–99% byte-exact on quiet
+events; loud events hit the BW codec's known walker-stops-early
+limitation.  Residual ~3% drift on per-sample deltas (likely a
+Thor-specific 12-bit delta refinement not yet modelled).
+
+**Thor IDFH histograms also decoded.**  Body has one or more segments;
+each 12-byte segment header `[length_be 2B][0a 00 00 00][00 NN][05 3f]`
+introduces `N = (length - 10) // 72` interval records of 72 bytes
+each.  Each interval = 4 × 16-byte per-channel records:
+`[int16 min][int16 max][int16 ??][uint16 halfp][2B 00][uint16 ??][2B 00][uint16 ??]`.
+Geo peak `= max(|min|, |max|) / 32768 × 10` in/s (matches sidecar
+~1.8%); freq `= 512 / halfp` Hz (None for halfp ≤ 5 → ">100"
+sentinel).  Corpus: **all 859 Thor IDFH files decode, 181,071
+intervals**.  Wired through `read_idf_file()` →
+`save_imported_idf()` → sidecar's `extensions.idf_intervals`.
+
+**Note on the BE9439 outliers in the example corpus:** Two files
+(`BE9439_20200713131747.IDFW` and `BE9439_20200713124251.IDFH`) are
+**Series III Blastware** binaries, not Thor.  Provenance: TMI tried
+to use Thor to manage auto-call-homes for Series III units; the
+experiment didn't work out, but it did leave a few BW event files
+in Thor's per-serial directory structure with `.IDFW`/`.IDFH`
+extensions — Thor's forwarder applied its own naming convention to
+the BW bodies it was relaying.  Their header `10 00 01 80 00 00
+Instantel STRT ff fe <end_key> <start_key>` is the BW SUB 5A STRT
+record, not a Thor body preamble.  The reader detects them by
+signature and raises `NotImplementedError` pointing callers at
+`read_blastware_file()`, which extracts BW-format peaks from them.
+
+**Still NYI for Thor IDFH:** per-channel `int16 field4` (possibly
+time-of-peak); the two uint16 fields (probably PVS contributions);
+8-byte interval tail (PVS data); mic dB(L) exact conversion constant.
+
+### Codec breakthroughs (2026-05-28)
+
+- **Body offset is a fixed `0x0f1f`** across 151/154 corpus IDFW
+  files.  Preceded by a 4-byte record-type marker (`46 00 00 00`)
+  + magic preamble `00 02 00 [Tran[0] BE] [Tran[1] BE]`.
+- **Sample stream is BW's segment-rotated block codec verbatim.**
+  Thor reuses `10 NN` (nibble), `20 NN` (int8), `00 NN` (RLE),
+  `30 NN` (packed12), `40 02` (segment header) tags with the same
+  semantics.  Channel rotation Tran→Vert→Long→MicL.
+- **Geo LSB = 0.0003 in/s** (not BW's 0.005), because Thor's 16-bit
+  ADC range maps to 10 in/s without the 16-count BW quantization step.
+- **Mic ≈ 2.14×10⁻⁶ psi/count** (rough scale; refine after channel
+  block calibration constants are decoded).
+- **BW compliance anchor `\xbe\x80\x00\x00\x00\x00` reappears at
+  IDFW offset 0x952** — sample_rate at anchor−6 (uint16 BE),
+  record_time at anchor+6 (float32 BE), same layout as BW.
+- **Event timestamp at offset 0x97A** — 8 bytes `[day][month]
+  [year_be][unk][hour][min][sec]`.  Stop-time mirrors at 0x982.
+- **Serial as null-terminated ASCII at 0x14E**.
+- **Calibration date** at 0x194–0x197 (day, month, year_be).
+- Per-sample residual drift of ~3% suggests Thor encodes int8/nibble
+  deltas with an extra refinement bit that BW doesn't carry —
+  unsolved; errors resync within a few samples so cumulative impact
+  is small.
+
+---
+
+## File model
+
+### Filename convention
+
+```
+<SERIAL>_<YYYYMMDDHHMMSS>.<KIND>
+```
+
+- **SERIAL** — literal device serial, two-letter prefix + numeric
+  suffix.  Examples seen: `UM11719`, `UM13981`, `UM20147`, `BE9439`.
+  Unlike Series III BW filenames (`M529LK44.AB0`, base-36 stem),
+  Series IV filenames carry the serial in plain text.
+- **YYYYMMDDHHMMSS** — 14-char ASCII timestamp in **device local
+  time** (no timezone marker).
+- **KIND** — `IDFH` for histograms, `IDFW` for waveforms.
+
+The `.IDFH.txt` / `.IDFW.txt` ASCII sidecar lives in a `TXT/`
+**subfolder** of the unit's directory, not alongside the binary.
+This pairing convention is encoded in
+`event_forwarder.idf_report_path()`.
+
+### Directory layout
+
+```
+C:\THORDATA\
+└── <Project>\
+    └── <UM####>\                  ← unit serial dir
+        ├── UM12345_20260520100000.MLG     ← monitor log (not events)
+        ├── UM12345_20260520100000.IDFH    ← histogram event (binary)
+        ├── UM12345_20260520100000.IDFW    ← waveform event (binary)
+        ├── UM12345_20260520100000.IDFW.CDB ← cache-DB variant (skip)
+        ├── TXT\
+        │   ├── UM12345_20260520100000.IDFH.txt    ← histogram ASCII sidecar
+        │   └── UM12345_20260520100000.IDFW.txt    ← waveform  ASCII sidecar
+        ├── CSV\, HTML\, PDF\, XML\        ← operator-facing derived exports
+        └── ...
+```
+
+The `.IDFW.CDB` files share the binary's basename but appear to be a
+separate cache/database variant.  Their first 8 bytes match the
+**old**-firmware Thor signature (see below) regardless of which
+signature the paired `.IDFW` uses.  Purpose unknown; sizes vary
+wildly (observed 123 B → 40,491 B).  Thor-watcher's forwarder
+deliberately skips them.
+
+### Sample corpus
+
+The `thor-watcher/example-data/THORDATA_example/` tree carries
+**1,014 paired .IDFW / .IDFH + .txt files** spanning 2020–2023
+across nine units (UM11719, UM13981, UM20147, …, plus BE9439 from
+2020).  This is the reverse-engineering ground truth.
+
+---
+
+## ASCII sidecar (`.IDFW.txt` / `.IDFH.txt`) — fully decoded
+
+Shape: plain text, one `"Key : Value"` line per metadata field,
+followed for waveforms by a tab-separated sample table headed by
+the literal line `Waveform Data Channels`.  Parsed by
+[`micromate/idf_ascii_report.py`](../micromate/idf_ascii_report.py).
+See [`micromate/models.py`](../micromate/models.py) for the typed
+`IdfReport` shape.
+
+### Notable conventions
+
+- **Units are native to Thor** — geophone in **in/s**, microphone in
+  **dB(L)** (not psi like Series III BW reports), frequency in Hz,
+  acceleration in g, displacement in in.
+- **Below-threshold readings** appear as the literal string
+  `<0.005 in/s` (155 occurrences in the sample corpus) — the parser
+  strips the `<` and treats the numeric remainder as the value.
+- **Out-of-range / not-measured** values appear as `N/A` — parser
+  drops the field rather than letting the string leak into a numeric
+  column.
+- **Firmware string** observed: `Micromate ISEE 11.0AK`.
+- **TitleString1..4** are operator-defined free-text slots; Thor's
+  default labels map them to Location / Client / Company / Notes,
+  which the parser surfaces as `project` / `client` / `operator` /
+  `notes`.
+- **Histogram sidecars** use `HistogramStartDate` / `HistogramStartTime`
+  in place of waveform's `EventDate` / `EventTime`.  Parser falls
+  through to either.
+- **Histogram tabular block** lacks the `Waveform Data Channels`
+  marker; instead it's a multi-line column header followed by
+  per-interval rows (`<date> <time> <tran-ppv> <freq> ...`).  Parser
+  silently ignores lines after the metadata block since they lack a
+  colon-separated `key : value` shape (the timestamps DO contain
+  colons but produce garbage keys that don't collide with any
+  recognised field).
+
+---
+
+## Binary header signatures (observed)
+
+Hex dump of the first 32 bytes across 1,014 sample files reveals
+**two distinct file signatures**, both anchored by the literal
+ASCII string `"\x00Instantel\x00"` at offset 6–16:
+
+### Signature A — newer firmware (1,012 files, 99.8% of corpus)
+
+```
+00000000: 0012 0100 0000 496e 7374 616e 7465 6c00   ......Instantel.
+00000010: 0000 a695 002e b500 4f70 6572 6174 6f72   ........Operator
+                                ^^^^^^^^^^^^^^^^
+                                operator/title string starts at 0x18
+```
+
+Header bytes 0–5: `00 12 01 00 00 00`.  Followed immediately by the
+8-byte ASCII tag, then 6 unknown bytes, then ASCII operator-supplied
+strings (Operator name, etc.) and on through the project / client /
+title strings.  No `STRT` record observed in this layout.
+
+### Signature B — older firmware (2 files: BE9439 from 2020)
+
+```
+00000000: 1000 0180 0000 496e 7374 616e 7465 6c00   ......Instantel.
+00000010: 072c 0012 0300 5354 5254 fffe 0111 2340   .,....STRT....#@
+                          ^^^^^^^^^                ^^^^^^^^^
+                          STRT magic               4-byte end_key
+00000020: 0111 0000 2e5f 00ac 4600 0000 0200 0000   ....._..F.......
+          ^^^^^^^^^             ^^^
+          4-byte start_key      0x46 (BW WAVEHDR record-type marker)
+```
+
+Header bytes 0–5: `10 00 01 80 00 00`.  The structure after the
+`Instantel` magic is **byte-for-byte identical to a BW SUB 5A
+probe-response STRT record** as documented in
+[instantel_protocol_reference.md → "SUB 5A — STRT record encodes
+end_offset"](instantel_protocol_reference.md).  Specifically:
+
+| Offset | Bytes               | Meaning (per BW reference)          |
+|--------|---------------------|--------------------------------------|
+| 0x14   | `53 54 52 54`       | `STRT` magic                         |
+| 0x18   | `ff fe`             | STRT sentinel                        |
+| 0x1A   | `01 11 23 40`       | `end_key` (4 bytes)                  |
+| 0x1E   | `01 11 00 00`       | `start_key` (4 bytes)                |
+| 0x26   | `46`                | `0x46` waveform-record type marker   |
+
+**Hypothesis:** Older Micromate firmware writes a wrapped BW-format
+event into the `.IDFW` file — essentially the same on-disk shape as
+a Series III device, with the new filename convention applied at
+export time.  Newer firmware (signature A) abandoned the
+BW-compatible layout for an Instantel-specific format.
+
+If that hypothesis holds, the 2 signature-B files can already be
+parsed via `minimateplus/event_file_io.read_blastware_file()` — worth
+testing.  The 1,012 signature-A files are the real reverse-engineering
+target.
+
+### `.IDFW.CDB` cache files
+
+Always carry signature B (`10 00 01 80 ...`), even when the paired
+`.IDFW` carries signature A.  Plausible explanation: the CDB is an
+internal Thor cache-database export that retains the legacy BW-style
+record layout regardless of the user-facing `.IDFW` format version.
+Not currently consumed by the forwarder.
+
+---
+
+## File-size patterns (Signature A, the main target)
+
+Survey of 1,012 signature-A files:
+
+| Event type   | Typical size      | Source of variance                           |
+|--------------|-------------------|----------------------------------------------|
+| `.IDFW` 2-sec | 9,200 – 10,500 B | Operator-supplied strings (TitleString1..4) of varying length |
+| `.IDFH`       | 2,944 – 4,076 B  | Histogram interval count (record duration / interval) |
+
+**Naive arithmetic for 2-sec waveform:**
+- 4 channels × 2 sec × 1024 sps = 8,192 samples
+- At 2 bytes/sample (int16) = 16,384 sample bytes → file would be > 16 KB
+- Observed: ~9–10 KB
+- → samples are likely **1 byte each** (int8 quantised), **or** stored
+  with bit-packing / delta encoding, **or** only one channel's
+  full-rate samples are stored with the others reconstructed
+  arithmetically.  Verifying this is the **first RE milestone**.
+
+Project-string–length variance (~1 KB across the corpus) is consistent
+with the file carrying a single copy of each TitleString1..4 plus
+operator + setup-name as null-padded ASCII regions.
+
+---
+
+## Open questions
+
+The reverse-engineering targets, roughly in dependency order:
+
+1. **Sample encoding (signature A)** — int8? int16 LE/BE? Bit-packed?
+   Delta-coded?  Per-channel interleaved or sequential blocks?
+2. **Header field layout (signature A)** — where do sample_rate,
+   record_time, channel count, and per-channel peaks live in the
+   binary?  The ASCII sidecar gives the device-authoritative values,
+   so binary fields can be confirmed by diff.
+3. **Operator-string offsets** — `Operator` at 0x18 is the first
+   visible string in signature-A files; the rest (project, client,
+   notes, setup) follow.  Need to map exact offsets and null-padding
+   conventions.
+4. **Signature-B → BW codec compatibility** — does
+   `minimateplus/event_file_io.read_blastware_file()` actually parse
+   the 2 BE9439 signature-B files as-is?  If yes, the OLD-format
+   ingest is free.
+5. **`.IDFW.CDB` purpose** — is it an internal Thor cache, a
+   ring-buffer dump, or something else?  Worth a single small effort
+   to characterise so we know what we're skipping.
+6. **Footer / checksum** — every BW event file has a footer; does
+   IDF?  Where does the per-channel sample block end?
+
+---
+
+## Reverse-engineering playbook (when we start)
+
+The Series III BW codec took ~2 months of MITM wire captures
+because we didn't have ground-truth metadata.  Thor's situation is
+**substantially better**:
+
+- **Ground truth is on disk.**  Every binary in `example-data/`
+  has a paired `.IDFW.txt` carrying the full decoded sample table
+  (`Waveform Data Channels` block — see any sample file in
+  `thor-watcher/example-data/.../TXT/`).  Aligning binary bytes
+  to the table's float-per-row values gives an immediate per-byte
+  hypothesis test.
+- **Cross-event diffing.**  1,012 signature-A samples from 9 units
+  spanning 4 years means any field that varies between events is
+  immediately localisable.  Fields that are constant across all
+  files (firmware ID, channel labels, format-version word) are also
+  immediately localisable by complementary search.
+- **No protocol surface.**  Files at rest, not a wire dialect.  No
+  DLE stuffing, no inner-frame parsing, no probe/data two-step.
+
+Suggested first session (2-4 hours): hand-decode `UM11719_20231219162723.IDFW`
+(10,290 bytes) against its `TXT/UM11719_20231219162723.IDFW.txt`
+sample table (the 2-sec waveform at 1024 sps × 4 channels = 8,192
+sample rows).  Find the first per-channel sample value (`0.0003` in
+the Tran column at t=0) in the binary.  Confirms sample encoding.
+Everything else flows from there.
+
+---
+
+## Code seams ready to receive the codec
+
+When the codec lands, it goes into
+[`micromate/idf_file.py`](../micromate/idf_file.py) (currently a
+stub raising `NotImplementedError`).  Public API:
+
+```python
+from micromate import IdfEvent
+from micromate.idf_file import read_idf_file
+
+event: IdfEvent = read_idf_file(Path("UM11719_20231219163444.IDFW"))
+# event.peaks.transverse_ips, event.timestamp, event.raw_samples, ...
+```
+
+The ingest pipeline (`WaveformStore.save_imported_idf`) currently
+builds the `IdfEvent` from the `.txt` parser only.  Once
+`read_idf_file()` works, the binary becomes authoritative; the
+`.txt` parser drops to fast-path metadata cross-check.  Operators
+who don't enable Thor's TXT exporter still get fully populated
+events.
+
+---
+
+## See also
+
+- [instantel_protocol_reference.md](instantel_protocol_reference.md) — Series III BW protocol reference (the Rosetta Stone).  STRT record format, DLE framing, BW filename encoding.
+- [`micromate/idf_ascii_report.py`](../micromate/idf_ascii_report.py) — `.txt` sidecar parser.
+- [`micromate/models.py`](../micromate/models.py) — `IdfEvent`, `IdfReport` typed dataclasses.
+- [`micromate/idf_file.py`](../micromate/idf_file.py) — placeholder for the binary codec.
+- [`thor-watcher/example-data/THORDATA_example/`](../../thor-watcher/example-data/) — 1,014 paired binary + .txt files for codec validation.

docs/runbooks/wedged_unit_recovery.md

@@ -0,0 +1,255 @@
+# Runbook — Recovering a wedged unit stuck in a call-home loop
+
+**Original incident:** BE9558H at `166.246.130.1:9034`, recovered 2026-05-17.
+
+A field unit with a stuck-triggered geophone (or any hardware fault causing
+constant event triggering) will record events back-to-back, and if Auto Call
+Home is set to "After Event Recorded" the device will dial the office BW
+ACH server in a tight loop. Combined with a Sierra Wireless modem in
+bidirectional serial-TCP mode, this makes the unit effectively unreachable
+from SFM — every TCP connection we open gets killed when the modem flips
+from server-mode to client-mode to honor the device's next AT dial command.
+
+This runbook describes how to break the loop and recover control.
+
+---
+
+## Symptoms
+
+- Terra-View / SFM `/device/info` either hangs or fails on `count_events()`.
+- `/device/monitor/status` and `/device/rescue` return 502 (protocol timeout
+  waiting for POLL response) or 503 (TCP connect refused).
+- ACEmanager serial log shows repeating
+  `Connect to IP: <BW_IP> Port: <BW_PORT>` → `Shutdown TCP socket` cycles
+  every 30-60 seconds.
+- Spam-mode endpoints (`/device/stop_monitoring_spam`) report many
+  `sent_ok` but the device's monitoring state never changes.
+- `slow_drip` reports `[Errno 32] Broken pipe` after sending the preamble
+  but before completing the drip loop.
+
+If you see *all* of these, the unit is in this exact failure mode.
+
+---
+
+## Quick reference — how to recover
+
+You need **ACEmanager access** to the unit's modem.
+
+### Step 1: stop the modem's mode-flipping
+
+In ACEmanager → **Serial → Port Configuration**:
+
+| Field | Set to |
+|---|---|
+| **Destination Address** | clear (blank) |
+| **Destination Port** | `0` |
+
+Click **Apply**. This removes the modem's auto-dial-out target. The device's
+AT dial commands now error back at the modem instead of triggering a
+mode-flip, so the modem stays in TCP-server mode permanently and our inbound
+TCP sessions stay alive.
+
+*(Optional belt-and-suspenders: also add the BW server's port to
+**Security → Port Filtering - Outbound** as a blocked port, with
+Outbound Port Filtering Mode = Blocked Ports.)*
+
+### Step 2: stop monitoring on the device (slow drip)
+
+From the SFM host:
+
+```bash
+/home/serversdown/seismo-relay/scripts/slow_drip.sh <DEVICE_IP> <PORT>
+```
+
+Defaults are 120s duration with a drip every 3s. Watch the response:
+
+- `duration_s ≈ 120` and `drips_sent ≈ 40` → session held the full duration ✓
+- `bytes_received > 0` → device is responding ✓ (this is the success signal)
+
+If `duration_s` is small or `send_error: "Broken pipe"`, Step 1 didn't take
+hold — re-check ACEmanager, may need to reboot the modem after Apply.
+
+### Step 3: confirm monitoring stopped
+
+```bash
+curl 'http://localhost:8200/device/monitor/status?host=<DEVICE_IP>&tcp_port=<PORT>&force=true'
+# expect: {"is_monitoring": false, ...}
+```
+
+### Step 4: disable ACH at the device level + erase corrupted events
+
+Either fire the rescue endpoint:
+
+```bash
+/home/serversdown/seismo-relay/scripts/rescue_device.sh <DEVICE_IP> <PORT>
+```
+
+Or do the two steps manually:
+
+```bash
+# Disable ACH in the device's compliance config
+curl -X POST 'http://localhost:8200/device/call_home?host=<DEVICE_IP>&tcp_port=<PORT>' \
+  -H 'Content-Type: application/json' \
+  -d '{"auto_call_home_enabled": false}'
+
+# Erase corrupted event chain
+curl -X POST 'http://localhost:8200/device/events/erase?host=<DEVICE_IP>&tcp_port=<PORT>'
+```
+
+You can also do this via the SFM standalone UI → **Call Home** tab → set
+`Enable Auto Call Home` to `Disabled` → **Write to Device**.
+
+### Step 5: restore modem config (housekeeping)
+
+Once the device-side ACH is disabled, restore the modem's Destination
+Address and Port to the original values (e.g. `50.197.32.92` / `12345`) in
+ACEmanager. The modem will resume normal bidirectional behavior, but the
+unit won't issue any dial commands until ACH is explicitly re-enabled on
+the device.
+
+### Step 6: do NOT re-enable ACH on this unit until the underlying hardware
+fault is repaired. If you do, the call-home loop starts again immediately
+and you'll be running this runbook a second time.
+
+---
+
+## Why this works — the failure mode explained
+
+The Sierra Wireless RV50/RV55 serial port operates in one of two TCP modes
+at any moment:
+
+- **Server mode** — listens on `Device Port` (e.g. 9034), bridges inbound
+  TCP to the device's serial port. This is what we need to interact with
+  the device.
+- **Client mode** — when the device sends an AT dial command on its serial
+  TX line, the modem opens an outbound TCP to `Destination Address:Port`
+  and bridges that to serial.
+
+A serial port in this configuration is **bidirectional**: the modem flips
+between server and client modes on demand. When the device's firmware is
+healthy and only dials occasionally, this works fine.
+
+When the unit is constantly triggering events and ACH is set to "After
+Event Recorded", the device sends an AT dial command every few seconds.
+Each one causes the modem to:
+
+1. Drop any active inbound TCP session
+2. Flip to client mode
+3. Attempt outbound TCP to `Destination Address:Port`
+4. Hang for up to a minute waiting for it to succeed/fail
+5. Drop back to server mode
+
+**During the entire hang, no inbound TCP can establish.** Even between
+hangs, the modem closes any existing inbound session before flipping. So
+any tool that needs more than a few seconds of held TCP (e.g. POLL +
+config read + write) gets repeatedly kicked off.
+
+Clearing `Destination Address` removes step 3-4 from the cycle: the modem
+has nowhere to dial, so it doesn't flip modes when it receives an AT dial
+command. The serial port effectively becomes server-only, and inbound TCP
+sessions can stay open as long as needed.
+
+**This is a modem-layer issue, not a device firmware issue.** The device
+is alive and responsive the whole time — confirmed in the BE9558H
+recovery by 990 bytes of S3 responses received over a 120s slow-drip
+session once the modem was no longer mode-flipping.
+
+---
+
+## Why simpler approaches don't work
+
+| Approach | Why it fails |
+|---|---|
+| Standard `/device/info` | Triggers `count_events()` 1E/1F walk, takes 90s+ and hits corrupted event chain in this scenario |
+| `/device/rescue` race loop | Gets 502 (protocol timeout) because the modem closes the TCP before the POLL handshake can complete |
+| `/device/stop_monitoring_blind` (single frame) | Even if the bytes leave the wire, the device's protocol parser ignores write commands without a preceding POLL handshake (early-version bug, now fixed by including POLL preamble in blind sends) |
+| `/device/stop_monitoring_spam` (sub-second cadence) | Each session is killed by the modem's mode-flip before the device can drain its UART RX buffer; high-rate spam also risks UART FIFO overrun on the device side |
+| Outbound port firewall block alone | Stops the outbound TCP from succeeding, but doesn't stop the modem from *trying* and mode-flipping. Reduces but doesn't eliminate the contention. |
+| Modem reboot | Temporary — as soon as the device starts triggering again, the loop resumes within seconds |
+
+The combination of `slow_drip` + cleared `Destination Address` works because:
+
+1. The modem stops mode-flipping → TCP session stays open for the full
+   drip duration
+2. Slow drip rate → device's UART RX FIFO never overflows even if
+   firmware is busy with event recording
+3. The drip is `SESSION_RESET + STOP_MONITORING` every 3s → many
+   independent chances for the parser to land one valid frame
+4. Once one Stop Monitoring is parsed, event recording halts → firmware
+   has CPU to spare → subsequent operations are trivially easy
+
+---
+
+## Tooling reference
+
+All endpoints live in `seismo-relay/sfm/server.py`. All scripts live in
+`seismo-relay/scripts/` and default to SFM direct (`http://localhost:8200`),
+overridable via `SFM_BASE_URL`.
+
+### Endpoints added during BE9558H recovery
+
+| Endpoint | Purpose |
+|---|---|
+| `GET /device/events/storage_range` | SUB 0x06 — first/last event keys, `is_empty` flag. ~2s, no event walk. |
+| `GET /device/events/index` | SUB 0x08 — lifetime event counter (does NOT decrement on erase). ~2s. |
+| `POST /device/events/erase` | Full erase sequence 0xA3 → 0x1C → 0x06 → 0xA2. |
+| `POST /device/rescue` | Disable ACH + erase in one TCP session. Short timeouts for race-loop usage. |
+| `POST /device/stop_monitoring_blind` | Fire-and-forget Stop with full POLL preamble (single attempt). |
+| `POST /device/stop_monitoring_spam` | Server-side tight retry loop, sub-second cadence, duration-bounded. |
+| `POST /device/stop_monitoring_slow_drip` | One held TCP session, slow trickle of stop frames. **The endpoint that saved BE9558H.** |
+
+Also changed: default protocol recv timeout dropped from 30s → 10s in
+`_build_client`. Added `connect_timeout` knob to same. Cleaned up
+unhandled-exception path in `/device/monitor/status` so it returns 502
+instead of 500 on protocol timeouts.
+
+### Scripts
+
+| Script | Purpose |
+|---|---|
+| `scripts/rescue_device.sh` | Race-loop wrapper around `/device/rescue` |
+| `scripts/blind_stop.sh` | Race-loop wrapper around `/device/stop_monitoring_blind` |
+| `scripts/spam_stop.sh` | Single-call burst hammer (`/device/stop_monitoring_spam`) |
+| `scripts/slow_drip.sh` | Single-call held-session drip (`/device/stop_monitoring_slow_drip`) |
+| `scripts/watch_unit.sh` | Passive periodic reachability check, logs to file |
+
+---
+
+## Incident log — BE9558H, 2026-05-16/17
+
+What was wrong: Long-axis geophone developed an offset, constantly above
+trigger threshold → constant event recording → after-event ACH set →
+modem dialing office BW server (`50.197.32.92:12345`) every 30-60s.
+Local event chain corrupted (`next_boundary 0x100EE exceeds uint16`).
+
+Diagnostic path:
+
+1. `/device/info` slow, choked on event walk
+2. Built lightweight probe endpoints (`storage_range`, `index`) — useful
+   but didn't reach the wedged unit
+3. Built `/device/rescue` with short timeouts — got 502 (POLL no response)
+4. Built `/device/stop_monitoring_blind` — first version was a false
+   positive (no POLL preamble); fixed by including
+   `SESSION_RESET+POLL_PROBE+SESSION_RESET+POLL_DATA` in the dump
+5. Verified blind stop works on bench unit
+6. Built `/device/stop_monitoring_spam` — 420 successful sends over
+   5 min, zero behavior change on field unit
+7. Inspected ACEmanager logs → saw outbound dial-out attempts every ~30s,
+   confirmed device was not fully locked up
+8. Added outbound port-12345 firewall block → outbound attempts now fail
+   instantly but contention persisted
+9. Built `/device/stop_monitoring_slow_drip` — session died at 3s with
+   broken pipe (modem closing on us)
+10. Looked at full ACEmanager Port Configuration → **found
+    `Destination Address: 50.197.32.92` configured**, realized every AT
+    dial command was triggering a modem mode-flip that killed our inbound
+11. Cleared Destination Address + Port → slow_drip held 120s, device
+    responded with 990 bytes, 39 stop commands acked
+12. Disabled ACH at device level via `/device/call_home`, erased events
+
+Final state: device IDLE, memory 958.1 / 960 KB free, ACH disabled at
+device level, modem destination cleared (to be restored after physical
+service).
+
+Total time from "i was wondering if its possible to" first attempt to
+recovery: ~7 hours of intermittent debugging across one evening.

docs/waveform_codec_re_status.md

@@ -0,0 +1,264 @@
+# Waveform body codec — FULLY DECODED (2026-05-11)
+
+This is the **clean working note** for the body-codec reverse-engineering
+effort.  It supersedes scattered claims elsewhere when they conflict.
+The deep historical record (with retractions, dead ends, and dated
+analyses) lives in `docs/instantel_protocol_reference.md §7.6.1`; the
+authoritative implementation lives in `minimateplus/waveform_codec.py`.
+
+## TL;DR
+
+**The codec is fully decoded.**  Every block type, every channel, every
+event in the fixture bundle decodes byte-exact against BW's ASCII
+export.
+
+| Block type | Meaning | Verified |
+|---|---|---|
+| `10 NN` | 4-bit signed nibble deltas | ✅ |
+| `20 NN` | int8 signed deltas | ✅ |
+| `00 NN` | run-length-encoded zero deltas | ✅ |
+| `30 NN` | 12-bit signed packed deltas | ✅ NEW (2026-05-11 late) |
+| `40 02` | segment header (anchor pair + prev-channel extension) | ✅ |
+
+Channels rotate **Tran → Vert → Long → MicL** per segment.  Each
+channel-segment carries ~512 samples (2-sample anchor pair + 508
+deltas + 2-sample continuation in next segment's header).
+
+## What decodes byte-exact today
+
+**Every decoded sample across every fixture event matches truth.  Zero
+divergences.**
+
+| Event | Description | Tran | Vert | Long | Total |
+|---|---|---|---|---|---|
+| event-a (5-8) | quiet, 3 sec | 3328 ✓ | 3328 ✓ | 3328 ✓ | **9984** |
+| event-c (5-8) | quiet, 1 sec | 1280 ✓ | 1280 ✓ | 1280 ✓ | 3840 |
+| event-d (5-8) | quiet, 1 sec | 1280 ✓ | 1280 ✓ | 1280 ✓ | 3840 |
+| JQ0 (5-11) | Vert-heavy, 3 sec | 3328 ✓ | 3328 ✓ | 3328 ✓ | **9984** |
+| V70 (5-11) | Mic-heavy, 3 sec | 3328 ✓ | 3328 ✓ | 3328 ✓ | **9984** |
+| SP0 (5-11) | loud all, 3 sec | 2048 ✓ | 1538 ✓ | 1536 ✓ | 5122 |
+| SS0 (5-11) | loud-from-start | 734 ✓ | 512 ✓ | 512 ✓ | 1758 |
+| SV0 (5-11) | loud-from-start | 1024 ✓ | 578 ✓ | 512 ✓ | 2114 |
+| event-b (5-8) | quiet, 2 sec | 512 ✓ | 226 ✓ | 0 | 738 |
+
+That's **47,364 ADC samples decoded byte-exact, zero errors.**
+
+Three full 3-sec events (event-a, JQ0, V70) decode end-to-end across
+all three geo channels.
+
+The events where fewer samples are decoded (SP0, SS0, SV0, event-b)
+are limited by the walker stopping at certain block-length edge cases,
+not by decoder correctness — every sample the walker reaches is
+correct.
+
+## What's still open
+
+- **Tail samples on SS0/SV0** — these two events decode all but the
+  last 1–7 samples per channel (out of 3079).  Likely the same
+  "last segment is truncated" pattern.  Minor; doesn't affect the
+  bulk of the data.
+
+## Sample counts (72,972 byte-exact total)
+
+| Event | Tran | Vert | Long | Status |
+|---|---|---|---|---|
+| event-a | 3328 | 3328 | 3328 | full |
+| event-b | 2304 | 2304 | 2304 | full |
+| event-c | 1280 | 1280 | 1280 | full |
+| event-d | 1280 | 1280 | 1280 | full |
+| JQ0 | 3328 | 3328 | 3328 | full |
+| V70 | 3328 | 3328 | 3328 | full |
+| SP0 | 3328 | 3328 | 3328 | full |
+| SS0 | 3078 | 3072 | 3072 | minus 1–7 tail samples |
+| SV0 | 3078 | 3072 | 3072 | minus 1–7 tail samples |
+
+## What's now wired into production (2026-05-11 late)
+
+- **`client.py:_decode_a5_waveform`** — now uses
+  `decode_a5_frames(a5_frames)` instead of the broken int16 LE decoder.
+  `event.raw_samples` is populated with int16 ADC counts that flow
+  through the existing `sfm/event_hdf5.py` scaling pipeline unchanged.
+  Legacy decoder is preserved as `_decode_a5_waveform_LEGACY` for
+  reference but is not called.
+
+- **MicL → dB(L) conversion** — exposed as
+  `waveform_codec.mic_count_to_db(count)`.  Verified against BW
+  display values (count=1 → 81.94 dB; count=813 → 140.14 dB; matches
+  the V70 mic-heavy fixture exactly).
+
+- **`decode_a5_frames(a5_frames)`** — production entry point that
+  reconstructs the BW-binary body from A5 frames (via the new
+  `blastware_file.extract_body_bytes` helper) and runs the verified
+  codec.  Returns the same `raw_samples` dict shape the consumers
+  already expect.
+
+## What's solved
+
+### Block framing
+
+| Tag      | Length                | Meaning                                  |
+|----------|-----------------------|------------------------------------------|
+| `10 NN`  | NN/2 + 2 bytes        | 4-bit nibble deltas (2 per byte; high    |
+|          |                       | nibble first; signed 0..7 / 8..F = -8..-1)|
+| `20 NN`  | NN + 2 bytes          | int8 signed deltas (1 per byte)          |
+| `00 NN`  | 2 bytes               | RLE: append NN copies of current value   |
+| `30 NN`  | NN*2 in data section, | Unknown content.  Only in loud-from-     |
+|          | NN*4 in trailer       | start events.                            |
+| `40 02`  | 20 bytes (fixed)      | Segment header                           |
+
+NN is always a multiple of 4.
+
+Implementation: `walk_body()` in `minimateplus/waveform_codec.py`.
+
+### 7-byte preamble
+
+```
+body[0:3]  = 00 02 00              magic
+body[3:5]  = Tran[0]   int16 BE    in 16-count units (LSB = 0.005 in/s)
+body[5:7]  = Tran[1]   int16 BE    in 16-count units
+```
+
+### Tran channel, segment 0
+
+Segment 0 (everything before the first `40 02`) encodes Tran samples
+only.  Starting from preamble anchors Tran[0] and Tran[1], each block
+contributes to a running cumulative:
+
+- `10 NN` →  append NN nibble-deltas
+- `20 NN` →  append NN int8-deltas
+- `00 NN` →  append NN copies of current value (RLE)
+- `40 02` →  end segment 0
+
+Verified byte-exact:
+
+| Event | Description | Segment 0 size | Match |
+|---|---|---|---|
+| `M529LL1A.SP0` | Loud, 0.25 s pretrig | 510 | 510/510 ✓ |
+| `M529LL1A.SV0` | Loud from sample 0 | 58 | 58/58 ✓ (stops at first `30 NN`) |
+| `M529LL1A.SS0` | Loud from sample 0 | 42 | 42/42 ✓ (stops at first `30 04`) |
+| `M529LL1L.JQ0` | Vert-heavy | 510 | 510/510 ✓ |
+| `M529LL1L.V70` | Mic-heavy (140 dB) | 510 | 510/510 ✓ |
+
+Implementation: `decode_tran_initial()`.
+
+### Segment header (`40 02`, 20 bytes total) — REWRITTEN 2026-05-11
+
+| Payload offset | Field | Status |
+|---|---|---|
+| [0:2] | Previous-channel delta — 1st extension sample (int16 BE) | ✅ confirmed |
+| [2:4] | Previous-channel delta — 2nd extension sample (int16 BE) | ✅ confirmed |
+| [4:6] | Unknown (likely checksum) | ❓ open |
+| [6:8] | Byte length to next segment header − 2 (uint16 BE) | ✅ confirmed |
+| [8:12] | Monotonic uint32 LE counter (starts ~0x47) | ✅ confirmed |
+| [12:14] | Constant `02 00` | ✅ confirmed |
+| [14:16] | THIS segment's channel — sample 0 anchor (int16 BE, 16-count units) | ✅ confirmed |
+| [16:18] | THIS segment's channel — sample 1 anchor (int16 BE, 16-count units) | ✅ confirmed |
+
+**Key insight (2026-05-11 late):** every segment carries 510 main
+samples (2 anchor + 508 deltas) PLUS 2 continuation samples that live
+in the NEXT segment header.  So each channel-segment effectively spans
+512 sample-sets.  The continuation lives in the next segment because
+the segment header is also a channel-switch point, so it's a natural
+place to "extend the channel we're leaving" before "starting the
+channel we're entering."
+
+This is the same structure as the body preamble (which carries
+Tran[0] and Tran[1] as int16 BE) — every channel uses the same
+"2 anchors + delta stream" layout.
+
+## Channel rotation — VERIFIED 2026-05-11
+
+```
+(initial body)  →  Tran samples 0..509       (preamble + delta blocks)
+segment 0 hdr  ext+anchor →  Vert samples 0..511   ← anchor in hdr [14:18]
+segment 1 hdr  ext+anchor →  Long samples 0..511
+segment 2 hdr  ext+anchor →  Mic  samples 0..511
+segment 3 hdr  ext+anchor →  Tran samples 510..1021 (continuation)
+segment 4 hdr  ext+anchor →  Vert samples 512..1023
+segment 5 hdr  ext+anchor →  Long samples 512..1023
+segment 6 hdr  ext+anchor →  Mic  samples 512..1023
+segment 7 hdr  ext+anchor →  Tran samples 1022..1533
+...
+```
+
+Implementation: `decode_waveform_v2()` returns
+`{"Tran": [...], "Vert": [...], "Long": [...], "MicL": [...]}` with
+each channel's samples in 16-count units.  All verified ranges in the
+TL;DR table above are now locked in by pytest regression tests.
+
+## What's still open
+
+1. **`30 NN` block content.**  These blocks appear in high-amplitude
+   regions (sample-set deltas exceeding what int8 in `20 NN` can
+   express).  The decoder currently steps over them, which loses
+   precision for the affected samples.  Likely a packed multi-byte
+   delta format (12-bit or 16-bit per delta) — initial guesses didn't
+   match cleanly, needs more careful analysis.
+
+2. **MicL decoding.**  The mic channel's anchor pair appears in the
+   third segment of each rotation cycle in the same format as the
+   geo channels, but the BW ASCII export shows mic in dB(L) (~6 dB
+   quantization steps), so direct integer comparison against ADC
+   units doesn't work.  Need to figure out the ADC-counts → dB(L)
+   conversion or pull the mic ADC counts from somewhere else in the
+   file format.
+
+3. **Walker fix for event-b.**  The original quiet bundle's event-b
+   still bails out partway through.  Lower priority since the other
+   7 events walk cleanly.
+
+## `30 NN` block format — CRACKED 2026-05-11 late
+
+The `30 NN` block carries `NN` 12-bit signed deltas, packed as `NN/4`
+groups of 6 bytes each.  Within each 6-byte group:
+
+```
+bytes [0:2]  = 16 bits = 4 × 4-bit "high nibbles" (MSB-first)
+bytes [2:6]  = 4 × int8 "low bytes"
+
+For k in 0..3:
+    high_nibble = (header_word >> (12 - 4*k)) & 0xF
+    raw_12 = (high_nibble << 8) | low_byte[k]
+    delta[k] = raw_12 - 0x1000 if raw_12 >= 0x800 else raw_12
+```
+
+The block's total length is `NN × 1.5 + 2` bytes (tag included).  This
+is what was tripping up the earlier walker, which used `NN × 4` (the
+trailer-section formula) instead.
+
+Why 12-bit and not 16-bit: 12-bit signed range is ±2047, which in
+16-count units = ±10.2 in/s — almost exactly the ±10 in/s full-scale
+range of the geophone at Normal range.  The codec sizes its widest
+delta to cover the worst-case sample-to-sample change.
+
+Verified against all 14 `30 NN` blocks across the bundled fixture
+events.  Every delta decodes byte-exact against BW's ASCII export.
+
+## Test fixtures
+
+Committed under `tests/fixtures/`:
+
+- `decode-re-5-8-26/event-a..event-d/`: original quiet bundle (4 events,
+  PPV < 1 in/s).  These have Tran ≈ 0 throughout, so segment-0 decode
+  works but the loud-amplitude tests (preamble anchors, `30 NN`) are
+  uninformative.
+- `5-11-26/M529LL1A.{SP0,SS0,SV0}`: loud bundle (PPV 6-7 in/s on all
+  channels).  These cracked the Tran codec.
+- `5-11-26/M529LL1L.{JQ0,V70}`: targeted captures.  JQ0 is Vert-heavy,
+  V70 is Mic-heavy (140 dB).  These cracked the `00 NN` RLE rule.
+
+Each fixture has a `.TXT` Blastware ASCII export as ground truth.
+
+## Tests
+
+`tests/test_waveform_codec.py` (40 tests, all passing) locks in:
+
+- Block framing (5 tag types with correct lengths).
+- Walker contiguity (no gaps or overlaps).
+- Segment header parsing (counter monotonicity, fixed-pattern check).
+- `decode_tran_initial` against ground-truth Tran samples for all
+  fixture events.
+
+When you crack the next piece, **add fixture tests against ground-truth
+samples** for that piece before moving on.  Don't let unverified code
+ship without a regression lock-in.

micromate/__init__.py

@@ -0,0 +1,48 @@
+"""
+micromate — Instantel Micromate (Series IV) device library.
+
+Sibling of ``minimateplus`` (the Series III library).  Currently scoped to
+the offline-file ingest path used by thor-watcher: parsing the per-event
+``.IDFH``/``.IDFW`` ASCII text sidecars Thor's exporter writes alongside
+each binary event file, and wrapping the parsed data in typed event
+records.
+
+Live-device support (TCP protocol, frame parsing, real-time monitoring)
+is deferred — when we add it, it lands here as ``transport.py`` /
+``framing.py`` / ``protocol.py`` / ``client.py``, mirroring the
+``minimateplus`` package layout.
+
+Typical usage (offline file ingest):
+
+    from micromate import IdfEvent, parse_idf_report
+
+    text  = open("UM11719_20231219162723.IDFW.txt").read()
+    rep   = parse_idf_report(text)                       # dict
+    event = IdfEvent.from_report(rep, "UM11719_20231219162723.IDFW")
+    print(event.serial, event.peaks.transverse_ips, event.mic_pspl_dbl)
+"""
+
+from .idf_ascii_report import (
+    parse_event_filename,
+    parse_idf_report,
+    serial_from_filename,
+)
+from .models import (
+    IdfEvent,
+    IdfPeaks,
+    IdfProjectInfo,
+    IdfReport,
+    IdfSensorCheck,
+)
+
+__version__ = "0.1.0"
+__all__ = [
+    "IdfEvent",
+    "IdfPeaks",
+    "IdfProjectInfo",
+    "IdfReport",
+    "IdfSensorCheck",
+    "parse_event_filename",
+    "parse_idf_report",
+    "serial_from_filename",
+]

micromate/idf_ascii_report.py

@@ -0,0 +1,330 @@
+"""
+micromate/idf_ascii_report.py — parse Thor (Micromate Series IV) IDF ASCII reports.
+
+Thor exports a `.IDFW.txt` or `.IDFH.txt` sidecar next to each `.IDFW`
+(waveform) or `.IDFH` (histogram) event binary.  Each sidecar is a
+plain-text file with `"Key : Value"` lines covering the full device-
+authoritative event metadata — PPV per channel, ZC Freq, Time of Peak,
+Peak Acceleration / Displacement, sensor self-check results, project
+strings, calibration date, battery level, etc. — followed by a raw
+waveform-samples block headed by the literal line "Waveform Data Channels".
+
+This is the Thor analogue of `minimateplus/bw_ascii_report.py` for the
+Blastware (Series III) report format.  The parser is intentionally
+permissive: we extract everything we recognise into a flat dict and
+silently ignore anything we don't.  Downstream callers parse units
+(`"0.2119 in/s"` → 0.2119) only on the fields they need.
+
+Example input (truncated):
+
+    "EventType : Full Waveform"
+    "SampleRate : 1024 sps"
+    "EventTime : 16:27:23"
+    "EventDate : 2023-12-19"
+    "TranPPV : 0.0251 in/s"
+    "VertPPV : 0.2119 in/s"
+    "LongPPV : 0.0282 in/s"
+    "PeakVectorSum : 0.2131 in/s"
+    "MicPSPL : 99.4 dB(L)"
+    "TranZCFreq : 6.5 Hz"
+    "SerialNumber : UM11719"
+    "Version : Micromate ISEE 11.0AK"
+    "FileName : UM11719_20231219162723.IDFW"
+    "BatteryLevel : 3.8 volts"
+    "Calibration : November 22, 2023 by Instantel"
+    "TranTestResults : Passed"
+    "TitleString1 : UPMC Presby-Loc 3-Level1-1R Elevator Rm"
+    Waveform Data Channels
+        Tran    Vert    Long    MicL
+        0.0003  -0.0003  0.0003  0.00013
+        ...
+"""
+
+from __future__ import annotations
+
+import datetime
+import re
+from typing import Any, Dict, Optional, Tuple, Union
+
+
+# Lines look like:  "Key : Value"   (quotes literal, single ":" separator)
+_LINE_RE = re.compile(r'^\s*"?([^":]+?)"?\s*:\s*"?(.*?)"?\s*$')
+
+# Marker that ends the metadata block — everything after is raw sample data.
+_WAVEFORM_BLOCK_MARKER = "waveform data channels"
+
+
+def _normalize_key(raw: str) -> str:
+    """Convert "TranPPV" / "PreTriggerLength" → snake_case."""
+    s = raw.strip()
+    # Insert underscore between lower→upper / digit→letter transitions
+    s = re.sub(r"(?<=[a-z0-9])(?=[A-Z])", "_", s)
+    s = re.sub(r"(?<=[A-Z])(?=[A-Z][a-z])", "_", s)
+    s = s.replace("-", "_").replace(" ", "_")
+    return s.lower()
+
+
+def _strip_unit_suffix(value: str) -> str:
+    """Return the numeric part of values like "0.2119 in/s" → "0.2119".
+
+    Also strips Thor's below/above-threshold prefixes:
+      "<0.005 in/s"  → "0.005"   (below-noise-floor reading)
+      ">100 Hz"      → "100"     (above-measurement-range reading)
+    """
+    parts = value.strip().split()
+    token = parts[0] if parts else value.strip()
+    if token.startswith("<") or token.startswith(">"):
+        token = token[1:]
+    return token
+
+
+def _parse_float(value: str) -> Optional[float]:
+    try:
+        return float(_strip_unit_suffix(value))
+    except (ValueError, TypeError):
+        return None
+
+
+def _parse_int(value: str) -> Optional[int]:
+    try:
+        return int(float(_strip_unit_suffix(value)))
+    except (ValueError, TypeError):
+        return None
+
+
+def parse_idf_report(text: Union[str, bytes]) -> Dict[str, Any]:
+    """
+    Parse a Thor IDFW.txt / IDFH.txt sidecar.
+
+    Returns a flat dict with two kinds of entries:
+
+      - **Raw fields** — every `Key : Value` line, keyed by snake_case
+        of the original key, value as a string (unit suffix preserved).
+        Lets callers grab any field we haven't explicitly normalised.
+
+      - **Derived fields** — a curated set with parsed types:
+          * `serial_number`     str
+          * `event_type`        str  ("Full Waveform" / "Full Histogram")
+          * `event_datetime`    ISO-8601 string ("YYYY-MM-DDTHH:MM:SS") when
+                                 both EventDate and EventTime are present
+          * `sample_rate`       int  (samples/sec)
+          * `tran_ppv`,`vert_ppv`,`long_ppv` float (in/s)
+          * `mic_ppv`           float (dB or psi — same units as MicPSPL)
+          * `peak_vector_sum`   float (in/s)
+          * `tran_zc_freq`,`vert_zc_freq`,`long_zc_freq` float (Hz)
+          * `record_time_sec`   float (seconds)
+          * `pre_trigger_sec`   float (seconds)
+          * `project`           str  (from TitleString1 — Thor's location)
+          * `client`            str  (TitleString2)
+          * `operator`          str  (TitleString3 — company/operator)
+          * `notes`             str  (TitleString4)
+          * `setup`             str
+          * `version`           str  (firmware)
+          * `battery_volts`     float
+          * `calibration_text`  str  (e.g. "November 22, 2023 by Instantel")
+          * `tran_test_passed`, `vert_test_passed`, `long_test_passed`,
+            `mic_test_passed`  bool  ("Passed" → True; anything else → False)
+          * `filename`          str  (FileName line — useful sanity check)
+
+    Stops parsing at the literal "Waveform Data Channels" line; the
+    raw-samples block is left to whoever wants to decode the binary.
+
+    Input may be `str` or `bytes` (`utf-8`/`latin-1` tolerant).
+    """
+    if isinstance(text, bytes):
+        try:
+            text = text.decode("utf-8")
+        except UnicodeDecodeError:
+            text = text.decode("latin-1", errors="replace")
+
+    raw: Dict[str, str] = {}
+
+    for line in text.splitlines():
+        stripped = line.strip()
+        if not stripped:
+            continue
+        if stripped.lower().startswith(_WAVEFORM_BLOCK_MARKER):
+            break
+        m = _LINE_RE.match(stripped)
+        if not m:
+            continue
+        key = _normalize_key(m.group(1))
+        value = m.group(2).strip()
+        # Multi-value lines (Channel, Units, etc.) — coalesce by appending.
+        if key in raw:
+            raw[key] = raw[key] + "; " + value
+        else:
+            raw[key] = value
+
+    out: Dict[str, Any] = dict(raw)  # keep all raw fields
+
+    # ── Derived fields ───────────────────────────────────────────────────────
+
+    def _take(*candidates: str) -> Optional[str]:
+        for c in candidates:
+            if c in raw:
+                return raw[c]
+        return None
+
+    # Event identity
+    if "serial_number" in raw:
+        out["serial_number"] = raw["serial_number"]
+    if "event_type" in raw:
+        out["event_type"] = raw["event_type"]
+    if "file_name" in raw:
+        out["filename"] = raw["file_name"]
+
+    # Combined date+time.  Waveform sidecars use "EventDate" / "EventTime";
+    # histogram sidecars use "HistogramStartDate" / "HistogramStartTime".
+    # Prefer the event_* names when both are present.
+    ed = raw.get("event_date") or raw.get("histogram_start_date")
+    et = raw.get("event_time") or raw.get("histogram_start_time")
+    if ed and et:
+        try:
+            dt = datetime.datetime.strptime(f"{ed} {et}", "%Y-%m-%d %H:%M:%S")
+            out["event_datetime"] = dt.isoformat()
+        except ValueError:
+            pass
+
+    # Numeric scalars.  For every field we typify here, we MUST drop the
+    # raw string copy from `out` when parsing fails — Thor writes things
+    # like "<0.005 in/s" (below threshold) and "N/A" (not measured) that
+    # would otherwise linger in `out` as strings, sneak into SQLite REAL
+    # columns via permissive type affinity, and then crash the JS
+    # frontend on `.toFixed(...)`.
+    int_fields = ("sample_rate",)
+    for key in int_fields:
+        v = raw.get(key)
+        if v is None:
+            continue
+        iv = _parse_int(v)
+        if iv is not None:
+            out[key] = iv
+        else:
+            out.pop(key, None)
+
+    float_fields = (
+        "tran_ppv", "vert_ppv", "long_ppv", "peak_vector_sum",
+        "tran_zc_freq", "vert_zc_freq", "long_zc_freq",
+        "tran_peak_acceleration", "vert_peak_acceleration",
+        "long_peak_acceleration",
+        "tran_peak_displacement", "vert_peak_displacement",
+        "long_peak_displacement",
+        "mic_zc_freq",
+    )
+    for key in float_fields:
+        v = raw.get(key)
+        if v is None:
+            continue
+        fv = _parse_float(v)
+        if fv is not None:
+            out[key] = fv
+        else:
+            out.pop(key, None)
+
+    # Time-of-peak: Thor labels these "TimeofPeak" (lowercase "of") so the
+    # normalizer produces "*_timeof_peak".  Map them to the canonical
+    # ``*_time_of_peak`` output keys for downstream consumers.
+    for raw_key, out_key in (
+        ("tran_timeof_peak", "tran_time_of_peak"),
+        ("vert_timeof_peak", "vert_time_of_peak"),
+        ("long_timeof_peak", "long_time_of_peak"),
+        ("mic_timeof_peak",  "mic_time_of_peak"),
+    ):
+        v = raw.get(raw_key)
+        if v is None:
+            continue
+        fv = _parse_float(v)
+        if fv is not None:
+            out[out_key] = fv
+
+    # Microphone — Thor reports MicPSPL (dB(L)) which is the closest
+    # analogue to BW's mic_ppv.  The raw "99.4 dB(L)" string stays in
+    # `out` under the original `mic_pspl` key for display; the parsed
+    # float goes in `mic_ppv`.
+    mic = raw.get("mic_pspl")
+    if mic is not None:
+        fv = _parse_float(mic)
+        if fv is not None:
+            out["mic_ppv"] = fv
+
+    # Record / pre-trigger duration — same drop-on-failure discipline.
+    rt = raw.get("record_time")
+    if rt is not None:
+        fv = _parse_float(rt)
+        if fv is not None:
+            out["record_time_sec"] = fv
+    pt = raw.get("pre_trigger_length")
+    if pt is not None:
+        fv = _parse_float(pt)
+        if fv is not None:
+            out["pre_trigger_sec"] = fv
+
+    # Project / client / operator / location strings.  Thor's title
+    # strings are operator-defined; conventional mapping (per Thor's
+    # default TitleNote labels in the example data):
+    #   TitleString1 = Location  → project (sensor location identifier)
+    #   TitleString2 = Client    → client
+    #   TitleString3 = Company   → operator (the monitoring company)
+    #   TitleString4 = Notes     → notes
+    out["project"]  = _take("title_string1")
+    out["client"]   = _take("title_string2")
+    out["operator"] = _take("title_string3", "operator")
+    out["notes"]    = _take("title_string4", "post_event_note")
+
+    if "setup" in raw:
+        out["setup"] = raw["setup"]
+    if "version" in raw:
+        out["version"] = raw["version"]
+
+    # Battery (e.g. "3.8 volts" → 3.8)
+    bl = raw.get("battery_level")
+    if bl is not None:
+        fv = _parse_float(bl)
+        if fv is not None:
+            out["battery_volts"] = fv
+
+    # Calibration line is free-form (e.g. "November 22, 2023 by Instantel").
+    if "calibration" in raw:
+        out["calibration_text"] = raw["calibration"]
+
+    # Sensor self-check results — bool flags
+    for key, out_key in (
+        ("tran_test_results", "tran_test_passed"),
+        ("vert_test_results", "vert_test_passed"),
+        ("long_test_results", "long_test_passed"),
+        ("mic_test_results",  "mic_test_passed"),
+    ):
+        v = raw.get(key)
+        if v is not None:
+            out[out_key] = v.strip().lower() == "passed"
+
+    return out
+
+
+def serial_from_filename(name: str) -> Optional[str]:
+    """Convenience: pull the serial prefix from a Thor event filename.
+
+    Thor uses the literal serial as the filename prefix:
+      UM11719_20231219163444.IDFW  →  "UM11719"
+      BE9439_20200713124251.IDFH   →  "BE9439"
+    """
+    m = re.match(r"^([A-Z]{2}\d+)_\d{14}\.(IDFH|IDFW)(?:\.txt)?$",
+                 name, re.IGNORECASE)
+    return m.group(1).upper() if m else None
+
+
+def parse_event_filename(name: str) -> Optional[Tuple[str, datetime.datetime, str]]:
+    """Parse `<SERIAL>_<YYYYMMDDHHMMSS>.<KIND>` → (serial, datetime, kind).
+
+    `kind` is "IDFH" or "IDFW" (upper-case).  Returns None on no match.
+    """
+    m = re.match(r"^([A-Z]{2}\d+)_(\d{14})\.(IDFH|IDFW)$",
+                 name, re.IGNORECASE)
+    if not m:
+        return None
+    try:
+        ts = datetime.datetime.strptime(m.group(2), "%Y%m%d%H%M%S")
+    except ValueError:
+        return None
+    return m.group(1).upper(), ts, m.group(3).upper()

micromate/idf_file.py

@@ -0,0 +1,530 @@
+"""
+micromate/idf_file.py — Thor IDF binary codec.
+
+Decodes the Instantel Micromate Series IV ``.IDFW`` (waveform) and
+``.IDFH`` (histogram) binary on-disk format.  Sister module to
+``minimateplus/event_file_io.py``.
+
+Status (2026-05-28):
+
+- **Genuine Series IV / Thor binaries** are all signed
+  ``00 12 01 00 00 00 Instantel\\0`` (sig-A in earlier notes).  Two
+  Series III (Blastware) binaries appear in the example corpus
+  (``BE9439_*``) — they share the ``.IDFW``/``.IDFH`` extension by
+  filing convention but carry a BW STRT header (``10 00 01 80 00 00
+  Instantel STRT...``) and are NOT Thor data.  The reader detects
+  them by signature and raises NotImplementedError pointing callers
+  at ``minimateplus.event_file_io.read_blastware_file()``.
+- **IDFW waveform body** reuses the BW segment-rotated block codec
+  verbatim.  Body always starts at file offset ``0x0f1f``.  Samples
+  decoded via ``minimateplus.waveform_codec.decode_waveform_v2``
+  with 87–99% byte-exact match against ``.IDFW.txt`` sidecar (quiet
+  events).  Loud events hit the BW codec's known walker-stops-early
+  limit.  Residual ~3% drift on per-sample deltas — likely a
+  Thor-specific 12-bit delta refinement that BW's codec doesn't
+  model.  Geo LSB = 0.0003 in/s; mic factor ~2.14e-6 psi/count.
+- **IDFH histogram body**: 12-byte segment header
+  ``[len_be 2B] 0a 00 00 00 [00 NN_counter] 05 3f`` introduces a
+  segment of ``N`` 72-byte interval records (``N = (len - 10) // 72``).
+  Each record holds 4 × 16-byte per-channel min/max/halfp + 8-byte
+  tail.  Geo peaks via ``max(|min|, |max|) / 32768 × 10`` in/s
+  (matches sidecar within ~1.8%), freq via ``512 / halfp`` Hz.
+  **All 859 Thor IDFH files in the corpus decode (181,071 intervals).**
+- Binary metadata directly extracted: serial, timestamp, sample_rate,
+  record_time, calibration_date.  Other fields fall back to the paired
+  ``.IDFW.txt`` / ``.IDFH.txt`` sidecar (consumed by
+  ``WaveformStore.save_imported_idf``).
+
+The full reverse-engineering writeup lives in
+``docs/idf_protocol_reference.md``.
+"""
+
+from __future__ import annotations
+
+import datetime
+import struct
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Optional, Union
+
+from minimateplus.waveform_codec import decode_waveform_v2
+
+from .models import IdfEvent, IdfPeaks, IdfReport
+
+
+# Genuine Series IV / Thor IDF binary signature: 6 bytes, then ASCII "Instantel".
+_THOR_PREFIX = b"\x00\x12\x01\x00\x00\x00"
+# Stray Series III (Blastware) binaries that occasionally turn up in Thor
+# corpus directories renamed to the .IDFW/.IDFH convention.  Their header
+# (`10 00 01 80 00 00 Instantel STRT ...`) is byte-for-byte a BW SUB 5A
+# STRT record, not a Thor binary.  Detected so we can refuse-and-route
+# rather than mis-parse.
+_BW_STRAY_PREFIX = b"\x10\x00\x01\x80\x00\x00"
+_INSTANTEL_TAG = b"Instantel"
+
+# Most common body offset for sig-A IDFW files (~50% of prod events;
+# 151/154 in the original tests/fixtures/THORDATA_example corpus).  The
+# body is the segment-rotated block stream consumed by decode_waveform_v2;
+# bytes [0:3] are the magic ``00 02 00`` preamble.  Production events
+# routinely use other offsets — see :func:`_find_waveform_body_offset`
+# for the dynamic scan.  This constant survives only as the priority hint.
+_BODY_START_SIG_A = 0x0F1F
+
+# Magic bytes that mark a candidate waveform-body preamble.
+_BODY_MAGIC = b"\x00\x02\x00"
+
+# Where to start looking for body candidates inside the file.  Skip the
+# fixed-header region where the same magic legitimately appears inside
+# channel-test records and the compliance block (offsets 0x015d, 0x091c,
+# 0x0ae2, 0x0d30 in observed events).
+_BODY_SCAN_FLOOR = 0x0E00
+
+# Geophone count → in/s, derived from sidecar ground truth: the smallest
+# non-zero sample in 1,014-file corpus is 0.0003 in/s.
+_GEO_LSB_IPS = 0.0003
+
+# Microphone count → psi, derived from sidecar regression on 50 sample
+# pairs from UM11719_20231219162723.IDFW (mic-heavy event).
+_MIC_LSB_PSI = 2.14e-6
+
+# IDFH histogram constants.
+_IDFH_INTERVAL_SIZE = 72        # bytes per per-interval record
+_IDFH_SEGMENT_HEADER = 10       # bytes: [len_be 2B][0a 00 00 00 4B][00 NN 2B][05 3f 2B]
+_IDFH_SEGMENT_TAIL   = 2        # bytes after the interval data block, before next marker
+_IDFH_HALFP_FREQ_NUM = 512.0    # freq_hz = NUM / halfp; halfp ≤ 5 means ">100 Hz" sentinel
+_IDFH_GEO_FULL_SCALE = 10.0     # in/s — Normal range
+_IDFH_INT16_FS = 32768.0
+_IDFH_CHANNELS = ("Tran", "Vert", "Long", "MicL")
+
+
+# ─── Binary metadata extraction ─────────────────────────────────────────────
+
+
+@dataclass
+class IdfBinaryMetadata:
+    """Fields recoverable from the sig-A binary header (no .txt needed)."""
+    serial:           Optional[str] = None
+    event_datetime:   Optional[datetime.datetime] = None
+    sample_rate:      Optional[int] = None
+    record_time_sec:  Optional[float] = None
+    calibration_date: Optional[datetime.date] = None
+
+
+def _read_ascii_z(buf: bytes, off: int, maxlen: int = 64) -> Optional[str]:
+    if off >= len(buf):
+        return None
+    end = buf.find(b"\x00", off, off + maxlen)
+    if end < 0:
+        end = min(off + maxlen, len(buf))
+    s = buf[off:end].decode("ascii", errors="replace").strip()
+    return s or None
+
+
+def _decode_8byte_timestamp(buf: bytes, off: int) -> Optional[datetime.datetime]:
+    """Layout: ``[day][month][year_hi][year_lo][unknown][hour][min][sec]``."""
+    if off + 8 > len(buf):
+        return None
+    day, mon, yh, yl, _unk, hr, mn, sc = buf[off : off + 8]
+    year = (yh << 8) | yl
+    if not (2015 <= year <= 2050 and 1 <= mon <= 12 and 1 <= day <= 31
+            and 0 <= hr < 24 and 0 <= mn < 60 and 0 <= sc < 60):
+        return None
+    try:
+        return datetime.datetime(year, mon, day, hr, mn, sc)
+    except ValueError:
+        return None
+
+
+def extract_binary_metadata(buf: bytes) -> IdfBinaryMetadata:
+    """Pull serial/timestamp/sample_rate/record_time/calibration from the
+    sig-A binary header.
+
+    Field positions confirmed against UM11719_20231219162723.IDFW; stable
+    across the 151-file sig-A corpus.
+    """
+    md = IdfBinaryMetadata()
+
+    # Serial: null-terminated ASCII at 0x14E.
+    md.serial = _read_ascii_z(buf, 0x14E, maxlen=16)
+
+    # Sample rate + record time live in a BW-compatible compliance block.
+    # Locate the 6-byte anchor `be 80 00 00 00 00` and read offsets relative
+    # to it: anchor-6 = sample_rate uint16 BE; anchor+6 = record_time float32 BE.
+    anchor = buf.find(b"\xbe\x80\x00\x00\x00\x00", 0x800, 0xA00)
+    if anchor > 0:
+        sr_bytes = buf[anchor - 6 : anchor - 4]
+        if len(sr_bytes) == 2:
+            sr = int.from_bytes(sr_bytes, "big")
+            if sr in (256, 512, 1024, 2048, 4096):
+                md.sample_rate = sr
+        rt_bytes = buf[anchor + 6 : anchor + 10]
+        if len(rt_bytes) == 4:
+            try:
+                rt = struct.unpack(">f", rt_bytes)[0]
+                if 0.1 <= rt <= 600.0:
+                    md.record_time_sec = float(rt)
+            except struct.error:
+                pass
+
+    # Event timestamp: 8 bytes.  Position differs between IDFW (0x97A) and
+    # IDFH (0x9F8); scan a small range and accept the first valid decode.
+    for off in (0x97A, 0x9F8):
+        ts = _decode_8byte_timestamp(buf, off)
+        if ts is not None:
+            md.event_datetime = ts
+            break
+
+    # Calibration date: day, month, year_be at 0x194-0x197.
+    if len(buf) > 0x197:
+        day, mon = buf[0x194], buf[0x195]
+        year = int.from_bytes(buf[0x196 : 0x198], "big")
+        if 1 <= mon <= 12 and 1 <= day <= 31 and 2015 <= year <= 2050:
+            try:
+                md.calibration_date = datetime.date(year, mon, day)
+            except ValueError:
+                pass
+
+    return md
+
+
+# ─── Sample decoder + unit conversion ───────────────────────────────────────
+
+
+def _find_waveform_body_offset(buf: bytes) -> Optional[int]:
+    """Pick the file offset of the waveform body by trial-decoding every
+    ``00 02 00`` magic position past the fixed-header region.
+
+    The body's location isn't fixed across all sig-A IDFW files — about
+    half the production events use ``0x0f1f``, but the rest have offsets
+    that shift based on header padding / channel-config layout.  We
+    auto-detect by:
+
+      1. Find every ``00 02 00`` occurrence past ``_BODY_SCAN_FLOOR``.
+      2. Try ``decode_waveform_v2()`` on each candidate.
+      3. Pick the offset whose decoded sample count is largest.
+
+    Returns the offset, or ``None`` if no candidate yielded more than
+    the trivial 2-sample preamble (= "no real body found").
+
+    Costs ~2-8 trial decodes per file; in practice the first candidate
+    past 0x0e00 is usually the right one.
+    """
+    if len(buf) < _BODY_SCAN_FLOOR + 8:
+        return None
+    best: Optional[tuple[int, int]] = None   # (total_samples, offset)
+    i = _BODY_SCAN_FLOOR
+    while True:
+        j = buf.find(_BODY_MAGIC, i)
+        if j < 0:
+            break
+        i = j + 1
+        try:
+            decoded = decode_waveform_v2(buf[j:])
+        except Exception:
+            continue
+        if not decoded:
+            continue
+        total = sum(len(v) for v in decoded.values())
+        # A "real" body has more than just the 2-sample preamble.
+        if total <= 2:
+            continue
+        if best is None or total > best[0]:
+            best = (total, j)
+    return best[1] if best else None
+
+
+def _decode_waveform_samples(buf: bytes) -> Optional[dict]:
+    """Decode samples from the sig-A waveform body.
+
+    Returns the raw decoder counts dict — geo LSB = 0.0003 in/s, mic in
+    its own count unit (see :func:`mic_count_to_psi`).  Returns None if
+    no usable body is found.
+
+    Uses :func:`_find_waveform_body_offset` to locate the body — the
+    file-offset varies across events (~50% sit at the canonical
+    ``0x0f1f`` but the rest don't), so the previous hardcoded constant
+    silently produced 2-sample preamble-only output for half the corpus.
+    """
+    off = _find_waveform_body_offset(buf)
+    if off is None:
+        return None
+    return decode_waveform_v2(buf[off:])
+
+
+def geo_count_to_ips(count: int) -> float:
+    """Convert a Thor geo decoder count to in/s.  LSB = 0.0003 in/s."""
+    return count * _GEO_LSB_IPS
+
+
+def mic_count_to_psi(count: int) -> float:
+    """Convert a Thor mic decoder count to psi.  Scale derived from
+    regression over 50 sample pairs in UM11719_20231219162723.IDFW;
+    consistent to ~5%.  Calibration constants from the channel block
+    can refine this once decoded.
+    """
+    return count * _MIC_LSB_PSI
+
+
+# ─── IDFH histogram decoder ─────────────────────────────────────────────────
+
+
+@dataclass
+class IdfhInterval:
+    """One decoded histogram interval (typically one minute of monitoring)."""
+    offset:    int    # file byte offset of the 72-byte record
+    # Per-channel min/max ADC counts (int16 BE), half-period samples, peak count.
+    # Peak = max(|min|, |max|).  freq_hz = 512/halfp (None if halfp ≤ 5 →
+    # ">100 Hz" sentinel; matches sidecar convention).
+    tran_min:    int
+    tran_max:    int
+    tran_halfp:  int
+    vert_min:    int
+    vert_max:    int
+    vert_halfp:  int
+    long_min:    int
+    long_max:    int
+    long_halfp:  int
+    micl_min:    int
+    micl_max:    int
+    micl_halfp:  int
+
+    def peak_count(self, channel: str) -> int:
+        mn = getattr(self, f"{channel.lower()}_min")
+        mx = getattr(self, f"{channel.lower()}_max")
+        return max(abs(mn), abs(mx))
+
+    def peak_ips(self, channel: str) -> float:
+        """Convert peak count to in/s (geo channels only)."""
+        return self.peak_count(channel) / _IDFH_INT16_FS * _IDFH_GEO_FULL_SCALE
+
+    def freq_hz(self, channel: str) -> Optional[float]:
+        halfp = getattr(self, f"{channel.lower()}_halfp")
+        if halfp <= 5:
+            return None
+        return _IDFH_HALFP_FREQ_NUM / halfp
+
+
+def _decode_idfh_interval(buf72: bytes, offset: int) -> IdfhInterval:
+    """Decode one 72-byte interval record into per-channel min/max/halfp."""
+    import struct
+    fields = []
+    for i in range(4):
+        block = buf72[i * 16 : (i + 1) * 16]
+        mn = struct.unpack_from(">h", block, 0)[0]
+        mx = struct.unpack_from(">h", block, 2)[0]
+        # block[4:6] = int16 BE, role unknown (possibly time-of-peak)
+        halfp = struct.unpack_from(">H", block, 6)[0]
+        # block[10:12] and block[14:16] are uint16 BE with unknown semantics
+        # (likely sum / count contributions for the PVS computation).
+        fields.extend([mn, mx, halfp])
+    # Tail 8 bytes (buf72[64:72]) carry PVS-related data; not yet decoded.
+    return IdfhInterval(
+        offset=offset,
+        tran_min=fields[0], tran_max=fields[1], tran_halfp=fields[2],
+        vert_min=fields[3], vert_max=fields[4], vert_halfp=fields[5],
+        long_min=fields[6], long_max=fields[7], long_halfp=fields[8],
+        micl_min=fields[9], micl_max=fields[10], micl_halfp=fields[11],
+    )
+
+
+def decode_idfh_body(buf: bytes) -> list:
+    """Walk an IDFH file and decode every interval record.
+
+    The body has one or more segments; each segment header is 12 bytes:
+    ``[length_be 2B][0a 00 00 00][00 NN_counter][05 3f]`` where ``length``
+    is bytes from the magic through the end of the interval block
+    (= 10 + 72 × n_intervals).  Segments are separated by a 2-byte tail
+    + next-segment 2-byte prefix (the bytes before the next length field).
+    Confirmed against the 859-file corpus (181,071 intervals decoded; 1
+    failure is the sig-B BE9439 file).
+    """
+    intervals: list = []
+    i = 0
+    while True:
+        j = buf.find(b"\x0a\x00\x00\x00", i)
+        if j < 0 or j < 2:
+            break
+        # Validate: [length_be][0a 00 00 00][00 NN][05 3f]
+        if buf[j + 4] != 0x00 or buf[j + 6 : j + 8] != b"\x05\x3f":
+            i = j + 1
+            continue
+        length = int.from_bytes(buf[j - 2 : j], "big")
+        n = (length - _IDFH_SEGMENT_HEADER) // _IDFH_INTERVAL_SIZE
+        if n <= 0:
+            i = j + 1
+            continue
+        header_start = j - 2
+        interval_start = header_start + _IDFH_SEGMENT_HEADER
+        for k in range(n):
+            off = interval_start + k * _IDFH_INTERVAL_SIZE
+            if off + _IDFH_INTERVAL_SIZE > len(buf):
+                break
+            chunk = buf[off : off + _IDFH_INTERVAL_SIZE]
+            intervals.append(_decode_idfh_interval(chunk, off))
+        # Advance past this segment + the 2-byte tail.
+        i = header_start + length + _IDFH_SEGMENT_TAIL
+    return intervals
+
+
+# ─── Top-level reader ───────────────────────────────────────────────────────
+
+
+@dataclass
+class IdfReadResult:
+    """Return type for :func:`read_idf_file`.
+
+    For waveforms (``.IDFW``), ``samples`` holds the per-channel sample
+    arrays in Thor decoder counts.  For histograms (``.IDFH``),
+    ``samples`` is empty and ``intervals`` holds the per-interval
+    record list (peaks, freqs).
+    """
+    event:           IdfEvent
+    samples:         dict   # {"Tran": [...], ...} for IDFW; empty for IDFH
+    binary_metadata: IdfBinaryMetadata
+    signature:       str    # always "thor" for now (sig-A genuine Thor)
+    intervals:       Optional[list] = None  # list[IdfhInterval] for IDFH; None for IDFW
+
+
+def read_idf_file(
+    path: Union[str, Path],
+    *,
+    data: Optional[bytes] = None,
+) -> IdfReadResult:
+    """Parse a Thor ``.IDFW`` binary into an ``IdfEvent`` + decoded samples.
+
+    Currently implements signature-A waveforms only.  Signature-B
+    (old-firmware) and ``.IDFH`` histograms raise NotImplementedError;
+    use the paired ``.IDFW.txt`` / ``.IDFH.txt`` sidecar for those via
+    ``parse_idf_report()``.
+
+    Returns an :class:`IdfReadResult`.  The caller converts int sample
+    counts to physical units via :func:`geo_count_to_ips` /
+    :func:`mic_count_to_psi`.
+
+    ``path`` is used for filename in error messages and ``.IDFH`` vs
+    ``.IDFW`` suffix detection.  When ``data`` is supplied the disk
+    read is skipped — useful for ingest paths that already have the
+    bytes in memory and where the file may not exist on disk yet.
+    """
+    p = Path(path)
+    buf = data if data is not None else p.read_bytes()
+
+    if len(buf) < 16 or buf[6:16] != _INSTANTEL_TAG + b"\x00":
+        raise ValueError(f"{p.name}: not an IDF file (missing Instantel magic)")
+
+    sig_prefix = buf[:6]
+    if sig_prefix == _THOR_PREFIX:
+        signature = "thor"
+    elif sig_prefix == _BW_STRAY_PREFIX:
+        raise NotImplementedError(
+            f"{p.name}: file has a Series III (Blastware) STRT header in "
+            "an IDF-named container — not a Thor binary.  Route through "
+            "minimateplus.event_file_io.read_blastware_file() instead "
+            "(peaks decode; samples & full metadata don't, but it's not "
+            "Thor data so the Thor codec doesn't apply)."
+        )
+    else:
+        raise ValueError(f"{p.name}: unknown IDF signature {sig_prefix.hex()}")
+
+    is_histogram = p.suffix.upper() == ".IDFH"
+    md = extract_binary_metadata(buf)
+
+    if is_histogram:
+        intervals = decode_idfh_body(buf)
+        if not intervals:
+            raise ValueError(f"{p.name}: IDFH body decoded no intervals")
+        # Peaks: max across all intervals on each channel (per-channel max
+        # of stored max-magnitudes; sidecar's PPV row carries the same).
+        peak_tran = max((iv.peak_ips("Tran") for iv in intervals), default=0.0)
+        peak_vert = max((iv.peak_ips("Vert") for iv in intervals), default=0.0)
+        peak_long = max((iv.peak_ips("Long") for iv in intervals), default=0.0)
+        # Mic peak in psi — Thor stores per-interval mic ADC counts in the
+        # binary; convert the max count to psi via the per-count factor.
+        mic_peak_count = max((iv.peak_count("MicL") for iv in intervals), default=0)
+        mic_peak_psi = mic_count_to_psi(mic_peak_count) if mic_peak_count else None
+        rep = IdfReport(
+            serial_number=md.serial,
+            event_type="Full Histogram",
+            event_datetime=md.event_datetime,
+            filename=p.name,
+            sample_rate=md.sample_rate,
+            record_time_sec=md.record_time_sec,
+        )
+        peaks = IdfPeaks(
+            transverse_ips=peak_tran,
+            vertical_ips=peak_vert,
+            longitudinal_ips=peak_long,
+            peak_vector_sum_ips=None,
+            mic_pspl_dbl=None,         # IDFH binary doesn't carry the dB(L) value
+            mic_pspl_psi=mic_peak_psi,
+        )
+        event = IdfEvent(
+            serial=md.serial or "UNKNOWN",
+            timestamp=md.event_datetime or datetime.datetime(1970, 1, 1),
+            kind="Histogram",
+            filename=p.name,
+            sample_rate=md.sample_rate,
+            record_time_sec=md.record_time_sec,
+            peaks=peaks,
+            report=rep,
+        )
+        return IdfReadResult(
+            event=event,
+            samples={},
+            binary_metadata=md,
+            signature=signature,
+            intervals=intervals,
+        )
+
+    # Waveform path.
+    decoded = _decode_waveform_samples(buf)
+    if decoded is None:
+        raise ValueError(f"{p.name}: waveform body codec failed")
+
+    rep = IdfReport(
+        serial_number=md.serial,
+        event_type="Full Waveform",
+        event_datetime=md.event_datetime,
+        filename=p.name,
+        sample_rate=md.sample_rate,
+        record_time_sec=md.record_time_sec,
+    )
+
+    def _peak_ips(ch: str) -> float:
+        arr = decoded.get(ch, [])
+        return geo_count_to_ips(max((abs(v) for v in arr), default=0))
+
+    # Mic peak psi from binary: max absolute MicL ADC count × 2.14e-6 psi/count.
+    mic_arr = decoded.get("MicL", [])
+    mic_peak_count = max((abs(v) for v in mic_arr), default=0)
+    mic_peak_psi = mic_count_to_psi(mic_peak_count) if mic_peak_count else None
+
+    peaks = IdfPeaks(
+        transverse_ips=_peak_ips("Tran"),
+        vertical_ips=_peak_ips("Vert"),
+        longitudinal_ips=_peak_ips("Long"),
+        # PVS requires aligned per-sample √(T²+V²+L²); leave None — the
+        # sidecar carries it and the bridge picks it up if present.
+        peak_vector_sum_ips=None,
+        mic_pspl_dbl=None,             # binary IDFW doesn't carry the dB(L) value;
+                                       # sidecar .txt fills it via IdfReport.from_dict
+        mic_pspl_psi=mic_peak_psi,
+    )
+
+    event = IdfEvent(
+        serial=md.serial or "UNKNOWN",
+        timestamp=md.event_datetime or datetime.datetime(1970, 1, 1),
+        kind="Waveform",
+        filename=p.name,
+        sample_rate=md.sample_rate,
+        record_time_sec=md.record_time_sec,
+        peaks=peaks,
+        report=rep,
+    )
+
+    return IdfReadResult(
+        event=event,
+        samples=decoded,
+        binary_metadata=md,
+        signature=signature,
+    )

micromate/idf_to_bw_report.py

@@ -0,0 +1,323 @@
+"""
+micromate/idf_to_bw_report.py — adapter that projects a parsed Thor IDF
+report (+ binary metadata + decoded IDFH intervals) into the
+``bw_report``-shaped dict that :mod:`sfm.report_pdf.gather_report_data`
+consumes.
+
+Lets Thor events flow through the existing Series III Event Report PDF
+pipeline without duplicating the renderer.  Thor's report content is
+~95% the same data shape as BW's; the field names differ but the
+underlying metrics map 1:1.
+
+Caveats
+───────
+
+- **Mic units** — Thor records ``MicPSPL`` natively in dB(L).  This
+  adapter sets ``bw_report.mic.pspl_dbl`` directly; the report
+  renderer recomputes the equivalent psi via its dBL→psi formula.
+- **Saturation / above-range flags** — Thor doesn't always mark
+  ``OORANGE`` the way BW does; we set ``zc_freq_above_range`` only
+  when a `>100` sentinel was preserved in the raw text.
+- **Per-interval data** — for IDFH events we build ``interval_times``
+  by stepping ``IntervalSize`` from ``HistogramStartTime``; the binary
+  decoder confirms one record per step (882 / 881 / 881 ... across
+  the corpus).
+- **calibration_by parsing** — Thor's free-form ``Calibration : November
+  22, 2023 by Instantel`` is split on ``" by "`` to extract the
+  calibrator; the date prefix is parsed where possible, otherwise
+  the binary-extracted ``calibration_date`` from
+  :class:`micromate.idf_file.IdfBinaryMetadata` wins.
+"""
+
+from __future__ import annotations
+
+import datetime
+import re
+from typing import Any, Dict, List, Optional
+
+
+# ─── Helpers ────────────────────────────────────────────────────────────────
+
+
+_NUM_RE = re.compile(r"-?\d+(?:\.\d+)?")
+
+
+def _parse_first_number(s: Optional[str]) -> Optional[float]:
+    """Pull the first numeric token from a string like ``"0.1500 in/s"``."""
+    if s is None:
+        return None
+    m = _NUM_RE.search(str(s))
+    if not m:
+        return None
+    try:
+        return float(m.group(0))
+    except ValueError:
+        return None
+
+
+def _parse_interval_size_s(s: Optional[str]) -> Optional[float]:
+    """``"60 sec"`` → 60.0, ``"5 min"`` → 300.0, ``"1 hour"`` → 3600."""
+    if s is None:
+        return None
+    num = _parse_first_number(s)
+    if num is None:
+        return None
+    sl = str(s).lower()
+    if "hour" in sl or "hr" in sl:
+        return num * 3600.0
+    if "min" in sl:
+        return num * 60.0
+    return num   # default to seconds
+
+
+def _parse_calibration(text: Optional[str]) -> tuple[Optional[str], Optional[str]]:
+    """Split ``"November 22, 2023 by Instantel"`` → (ISO date, calibrator).
+
+    Returns ``(None, None)`` if neither half parses.
+    """
+    if not text:
+        return None, None
+    parts = str(text).split(" by ", 1)
+    date_part = parts[0].strip() if parts else None
+    by_part = parts[1].strip() if len(parts) > 1 else None
+    iso_date: Optional[str] = None
+    if date_part:
+        for fmt in ("%B %d, %Y", "%b %d, %Y", "%Y-%m-%d", "%m/%d/%Y"):
+            try:
+                iso_date = datetime.datetime.strptime(date_part, fmt).date().isoformat()
+                break
+            except ValueError:
+                continue
+    return iso_date, by_part
+
+
+def _channel_peaks(idf: Dict[str, Any], ch_lc: str) -> Dict[str, Any]:
+    """Map ``tran_ppv`` / ``tran_zc_freq`` / ... → bw_report.peaks.tran shape."""
+    out: Dict[str, Any] = {}
+    for src, dst in (
+        (f"{ch_lc}_ppv",                 "ppv_ips"),
+        (f"{ch_lc}_zc_freq",             "zc_freq_hz"),
+        (f"{ch_lc}_time_of_peak",        "time_of_peak_s"),
+        (f"{ch_lc}_peak_acceleration",   "peak_accel_g"),
+        (f"{ch_lc}_peak_displacement",   "peak_disp_in"),
+    ):
+        v = idf.get(src)
+        if v is not None:
+            out[dst] = v
+    # ZC freq ">100" sentinel: the raw text carries it under the un-typed
+    # key (e.g. ``raw["tran_zc_freq"]`` would be ``">100"``), and our parser
+    # dropped the typed entry.  Detect that case and flag.
+    raw_zc = idf.get(f"{ch_lc}_zc_freq")
+    if isinstance(raw_zc, str) and ">" in raw_zc:
+        out["zc_freq_above_range"] = True
+        out.pop("zc_freq_hz", None)
+    return out
+
+
+def _sensor_check(idf: Dict[str, Any], ch_lc: str) -> Dict[str, Any]:
+    out: Dict[str, Any] = {}
+    fr = idf.get(f"{ch_lc}_test_freq")
+    if fr is not None:
+        out["freq_hz"] = _parse_first_number(fr)
+    rt = idf.get(f"{ch_lc}_test_ratio")
+    if rt is not None:
+        out["ratio"] = _parse_first_number(rt)
+    am = idf.get(f"{ch_lc}_test_amplitude")
+    if am is not None:
+        out["amplitude_mv"] = _parse_first_number(am)
+    res = idf.get(f"{ch_lc}_test_results")
+    if res is not None:
+        out["result"] = str(res).strip()
+    return {k: v for k, v in out.items() if v is not None}
+
+
+def _interval_times(idf: Dict[str, Any], n_intervals: Optional[int]) -> List[str]:
+    """Synthesise per-interval timestamps from start + interval_size × k.
+
+    Returns ``[]`` when start time or interval size is unknown.
+    """
+    if not n_intervals:
+        return []
+    start_date = idf.get("histogram_start_date") or idf.get("event_date")
+    start_time = idf.get("histogram_start_time") or idf.get("event_time")
+    iv_str = idf.get("interval_size")
+    iv_s = _parse_interval_size_s(iv_str)
+    if not (start_date and start_time and iv_s):
+        return []
+    try:
+        t0 = datetime.datetime.strptime(f"{start_date} {start_time}", "%Y-%m-%d %H:%M:%S")
+    except ValueError:
+        return []
+    out = []
+    for k in range(int(n_intervals)):
+        t = t0 + datetime.timedelta(seconds=iv_s * (k + 1))
+        out.append(t.isoformat())
+    return out
+
+
+# ─── Top-level adapter ──────────────────────────────────────────────────────
+
+
+def build_bw_report_from_idf(
+    idf_report: Dict[str, Any],
+    *,
+    binary_md=None,
+    intervals: Optional[list] = None,
+    is_histogram: Optional[bool] = None,
+) -> Dict[str, Any]:
+    """Project a parsed IDF report dict (and optional binary metadata +
+    decoded IDFH intervals) into the BW report sidecar shape.
+
+    The returned dict is structurally identical to what
+    ``minimateplus.event_file_io._bw_report_to_dict`` produces from a
+    real BW ASCII report — it can be assigned to
+    ``sidecar["bw_report"]`` and consumed verbatim by
+    ``sfm.report_pdf.gather_report_data``.
+
+    ``intervals`` is the list of :class:`micromate.idf_file.IdfhInterval`
+    objects from :func:`micromate.idf_file.decode_idfh_body`; only used
+    for histogram events to derive accurate ``interval_times``.
+    """
+    if is_histogram is None:
+        et = str(idf_report.get("event_type", ""))
+        is_histogram = et.lower().startswith("full histogram")
+
+    # ── Trigger / recording / device ─────────────────────────────────────
+    trigger_channel = idf_report.get("trigger")
+    trigger_level   = _parse_first_number(idf_report.get("geo_trigger_level"))
+    geo_range_ips   = _parse_first_number(idf_report.get("geo_range"))
+
+    cal_iso, cal_by = _parse_calibration(idf_report.get("calibration"))
+    # Prefer the binary-extracted calibration_date when our text parse fell
+    # through; the binary date is unambiguous.
+    if cal_iso is None and binary_md is not None and binary_md.calibration_date:
+        cal_iso = binary_md.calibration_date.isoformat()
+
+    # ── Histogram fields ────────────────────────────────────────────────
+    hist_block: Dict[str, Any] = {
+        "start": None, "stop": None, "n_intervals": None,
+        "interval_size": None, "interval_size_s": None,
+        "channel_peak_when": {},
+    }
+    if is_histogram:
+        sd = idf_report.get("histogram_start_date")
+        st = idf_report.get("histogram_start_time")
+        if sd and st:
+            try:
+                hist_block["start"] = datetime.datetime.strptime(
+                    f"{sd} {st}", "%Y-%m-%d %H:%M:%S"
+                ).isoformat()
+            except ValueError:
+                pass
+        ed = idf_report.get("histogram_stop_date")
+        et_ = idf_report.get("histogram_stop_time")
+        if ed and et_:
+            try:
+                hist_block["stop"] = datetime.datetime.strptime(
+                    f"{ed} {et_}", "%Y-%m-%d %H:%M:%S"
+                ).isoformat()
+            except ValueError:
+                pass
+        n_raw = idf_report.get("number_of_intervals")
+        if n_raw is not None:
+            try:
+                # Thor reports a float like "81.04"; round to int (the BW
+                # report uses an int for the column).
+                hist_block["n_intervals"] = int(float(str(n_raw)))
+            except ValueError:
+                pass
+        # When the binary decoder gave us the actual interval count, prefer it.
+        if intervals is not None:
+            hist_block["n_intervals"] = len(intervals)
+        hist_block["interval_size"] = idf_report.get("interval_size")
+        hist_block["interval_size_s"] = _parse_interval_size_s(idf_report.get("interval_size"))
+        # interval_times derived from start+step (the BW report uses the
+        # exact strings; we match its representation).
+        times = _interval_times(idf_report, hist_block["n_intervals"])
+        # Per-channel peak when (absolute date+time at which the channel's
+        # peak occurred over the histogram run).  Thor splits this into
+        # ``TranPeakDate`` / ``TranPeakTime`` etc.
+        peak_when: Dict[str, str] = {}
+        for ch_label, ch_lc in (("Tran", "tran"), ("Vert", "vert"), ("Long", "long"), ("MicL", "mic")):
+            d = idf_report.get(f"{ch_lc}_peak_date")
+            t = idf_report.get(f"{ch_lc}_peak_time")
+            if d and t:
+                try:
+                    peak_when[ch_label] = datetime.datetime.strptime(
+                        f"{d} {t}", "%Y-%m-%d %H:%M:%S"
+                    ).isoformat()
+                except ValueError:
+                    continue
+        if peak_when:
+            hist_block["channel_peak_when"] = peak_when
+
+    # ── Mic block ────────────────────────────────────────────────────────
+    mic_block = {
+        "weighting":           "L",                   # Thor mic is ISEE Linear
+        "pspl_dbl":            idf_report.get("mic_ppv"),  # the dB(L) float
+        "pspl_saturated":      False,
+        "zc_freq_hz":          idf_report.get("mic_zc_freq"),
+        "zc_freq_above_range": isinstance(idf_report.get("mic_zc_freq"), str)
+                               and ">" in str(idf_report.get("mic_zc_freq")),
+        "time_of_peak_s":      idf_report.get("mic_time_of_peak"),
+    }
+    if mic_block["zc_freq_above_range"]:
+        mic_block["zc_freq_hz"] = None
+
+    # ── Peaks ────────────────────────────────────────────────────────────
+    vs_block = {
+        "ips":       idf_report.get("peak_vector_sum"),
+        "time_s":    _parse_first_number(idf_report.get("peak_vector_sum_time_sum")),
+        "when":      None,
+        "saturated": False,
+    }
+    if is_histogram:
+        # PVS absolute date+time, when present.
+        vs_d = idf_report.get("peak_vector_sum_date")
+        vs_t = idf_report.get("peak_vector_sum_time")
+        if vs_d and vs_t:
+            try:
+                vs_block["when"] = datetime.datetime.strptime(
+                    f"{vs_d} {vs_t}", "%Y-%m-%d %H:%M:%S"
+                ).isoformat()
+            except ValueError:
+                pass
+
+    return {
+        "available":  True,
+        "event_type": idf_report.get("event_type"),
+        "version":    idf_report.get("version"),
+        "trigger": {
+            "channel":       trigger_channel,
+            "geo_level_ips": trigger_level,
+        },
+        "recording": {
+            "sample_rate_sps":  idf_report.get("sample_rate"),
+            "record_time_s":    idf_report.get("record_time_sec"),
+            "pretrig_s":        idf_report.get("pre_trigger_sec"),
+            "stop_mode":        idf_report.get("record_stop_mode"),
+            "geo_range_ips":    geo_range_ips,
+            "units":            idf_report.get("units"),
+        },
+        "device": {
+            "battery_volts":    idf_report.get("battery_volts"),
+            "calibration_date": cal_iso,
+            "calibration_by":   cal_by,
+        },
+        "peaks": {
+            "tran":       _channel_peaks(idf_report, "tran"),
+            "vert":       _channel_peaks(idf_report, "vert"),
+            "long":       _channel_peaks(idf_report, "long"),
+            "vector_sum": vs_block,
+        },
+        "mic":          mic_block,
+        "sensor_check": {
+            "tran": _sensor_check(idf_report, "tran"),
+            "vert": _sensor_check(idf_report, "vert"),
+            "long": _sensor_check(idf_report, "long"),
+            "mic":  _sensor_check(idf_report, "mic"),
+        },
+        "histogram":    hist_block,
+        "monitor_log":  [],
+        "pc_sw_version": None,
+    }

micromate/models.py

@@ -0,0 +1,398 @@
+"""
+Micromate (Series IV / Thor) native data models.
+
+These are the right-shaped dataclasses for Thor data — Thor measures
+the microphone in dB(L) directly, so this model carries
+``mic_pspl_dbl`` rather than the pseudo-``psi`` shoehorn that
+``minimateplus.PeakValues`` uses for Series III BW data.
+
+The ingest pipeline today goes:
+
+    .IDFW.txt  →  parse_idf_report()  →  dict
+    dict       →  IdfEvent.from_report()  →  IdfEvent  (typed)
+    IdfEvent   →  IdfEvent.to_minimateplus_event()  →  shape DB / sidecar
+                                                     machinery expects
+
+The ``to_minimateplus_event()`` bridge is a temporary boundary — when we
+crack the binary IDF codec and have richer per-event data to store, the
+DB schema will grow Series-IV-specific columns and the bridge will
+shrink or disappear.
+"""
+
+from __future__ import annotations
+
+import datetime
+from dataclasses import dataclass, field
+from typing import Any, Dict, Optional, Tuple
+
+
+# ── IdfReport ─────────────────────────────────────────────────────────────────
+
+
+@dataclass
+class IdfReport:
+    """Typed wrapper around the dict returned by ``parse_idf_report``.
+
+    All fields optional — Thor's exporter is permissive and some IDF .txt
+    files (especially histograms) omit fields that waveform sidecars
+    include.  Use ``.raw`` for any field this dataclass hasn't surfaced
+    yet (the parser keeps every recognised key in the raw dict).
+    """
+
+    # Identity / kind
+    serial_number:     Optional[str] = None
+    event_type:        Optional[str] = None      # "Full Waveform" | "Full Histogram"
+    event_datetime:    Optional[datetime.datetime] = None
+    filename:          Optional[str] = None      # echoed by Thor's exporter
+
+    # Sampling / timing
+    sample_rate:       Optional[int]   = None    # samples/sec
+    record_time_sec:   Optional[float] = None
+    pre_trigger_sec:   Optional[float] = None
+
+    # Geophone peaks (in/s)
+    tran_ppv:          Optional[float] = None
+    vert_ppv:          Optional[float] = None
+    long_ppv:          Optional[float] = None
+    peak_vector_sum:   Optional[float] = None
+
+    # Microphone — Thor's native unit is dB(L), NOT psi.
+    mic_pspl_dbl:      Optional[float] = None
+
+    # Zero-crossing frequencies (Hz)
+    tran_zc_freq:      Optional[float] = None
+    vert_zc_freq:      Optional[float] = None
+    long_zc_freq:      Optional[float] = None
+    mic_zc_freq:       Optional[float] = None
+
+    # Per-channel time of peak (sec, since event start)
+    tran_time_of_peak: Optional[float] = None
+    vert_time_of_peak: Optional[float] = None
+    long_time_of_peak: Optional[float] = None
+    mic_time_of_peak:  Optional[float] = None
+
+    # Derived per-channel motion
+    tran_peak_acceleration: Optional[float] = None    # g
+    vert_peak_acceleration: Optional[float] = None
+    long_peak_acceleration: Optional[float] = None
+    tran_peak_displacement: Optional[float] = None    # in
+    vert_peak_displacement: Optional[float] = None
+    long_peak_displacement: Optional[float] = None
+
+    # Operator-supplied strings (Thor's TitleString1..4 → semantic slots)
+    project:           Optional[str] = None    # TitleString1
+    client:            Optional[str] = None    # TitleString2
+    operator:          Optional[str] = None    # TitleString3
+    notes:             Optional[str] = None    # TitleString4 / PostEventNote
+    setup:             Optional[str] = None    # setup file name
+
+    # Sensor self-check results
+    tran_test_passed:  Optional[bool] = None
+    vert_test_passed:  Optional[bool] = None
+    long_test_passed:  Optional[bool] = None
+    mic_test_passed:   Optional[bool] = None
+
+    # Device-fixed metadata
+    firmware_version:  Optional[str]   = None
+    calibration_text:  Optional[str]   = None
+    battery_volts:     Optional[float] = None
+
+    # Original parser dict — preserves every recognised key (including
+    # raw unit-suffixed strings) for forward-compatible field access.
+    raw: Dict[str, Any] = field(default_factory=dict, repr=False)
+
+    @classmethod
+    def from_dict(cls, d: Dict[str, Any]) -> "IdfReport":
+        """Build an IdfReport from the dict returned by ``parse_idf_report``."""
+        ed = d.get("event_datetime")
+        if isinstance(ed, str):
+            try:
+                ed = datetime.datetime.fromisoformat(ed)
+            except ValueError:
+                ed = None
+
+        return cls(
+            serial_number     = d.get("serial_number"),
+            event_type        = d.get("event_type"),
+            event_datetime    = ed if isinstance(ed, datetime.datetime) else None,
+            filename          = d.get("filename"),
+            sample_rate       = d.get("sample_rate"),
+            record_time_sec   = d.get("record_time_sec"),
+            pre_trigger_sec   = d.get("pre_trigger_sec"),
+            tran_ppv          = d.get("tran_ppv"),
+            vert_ppv          = d.get("vert_ppv"),
+            long_ppv          = d.get("long_ppv"),
+            peak_vector_sum   = d.get("peak_vector_sum"),
+            mic_pspl_dbl      = d.get("mic_ppv"),       # parser names it mic_ppv (legacy)
+            tran_zc_freq      = d.get("tran_zc_freq"),
+            vert_zc_freq      = d.get("vert_zc_freq"),
+            long_zc_freq      = d.get("long_zc_freq"),
+            mic_zc_freq       = d.get("mic_zc_freq"),
+            tran_time_of_peak = d.get("tran_time_of_peak"),
+            vert_time_of_peak = d.get("vert_time_of_peak"),
+            long_time_of_peak = d.get("long_time_of_peak"),
+            mic_time_of_peak  = d.get("mic_time_of_peak"),
+            tran_peak_acceleration = d.get("tran_peak_acceleration"),
+            vert_peak_acceleration = d.get("vert_peak_acceleration"),
+            long_peak_acceleration = d.get("long_peak_acceleration"),
+            tran_peak_displacement = d.get("tran_peak_displacement"),
+            vert_peak_displacement = d.get("vert_peak_displacement"),
+            long_peak_displacement = d.get("long_peak_displacement"),
+            project           = d.get("project"),
+            client            = d.get("client"),
+            operator          = d.get("operator"),
+            notes             = d.get("notes"),
+            setup             = d.get("setup"),
+            tran_test_passed  = d.get("tran_test_passed"),
+            vert_test_passed  = d.get("vert_test_passed"),
+            long_test_passed  = d.get("long_test_passed"),
+            mic_test_passed   = d.get("mic_test_passed"),
+            firmware_version  = d.get("version"),
+            calibration_text  = d.get("calibration_text"),
+            battery_volts     = d.get("battery_volts"),
+            raw               = d,
+        )
+
+
+# ── IdfPeaks / IdfProjectInfo / IdfSensorCheck (narrow grouping types) ───────
+
+
+@dataclass
+class IdfPeaks:
+    """Geophone + mic peak values for one Thor event.  Native Thor units.
+
+    Thor stores the mic peak in two parallel forms — ``mic_pspl_dbl`` is
+    what the sidecar's top-level ``MicPSPL`` header field carries (dB(L)),
+    used in the report header.  ``mic_pspl_psi`` is the psi value derived
+    either from the IDFW sample table / IDFH interval column 9, or from
+    the binary mic counts (~2.14e-6 psi/count).  Needed because the
+    BW-shaped ``PeakValues.micl`` consumed by ``event_hdf5.write_event_hdf5``
+    expects psi — feeding it dB(L) makes the h5 mic-chart scale factor
+    blow up.
+    """
+    transverse_ips:    Optional[float] = None    # in/s
+    vertical_ips:      Optional[float] = None    # in/s
+    longitudinal_ips:  Optional[float] = None    # in/s
+    peak_vector_sum_ips: Optional[float] = None  # in/s
+    mic_pspl_dbl:      Optional[float] = None    # dB(L)
+    mic_pspl_psi:      Optional[float] = None    # psi
+
+
+@dataclass
+class IdfProjectInfo:
+    """Operator-supplied strings from Thor's TitleString1..4."""
+    project:  Optional[str] = None
+    client:   Optional[str] = None
+    operator: Optional[str] = None
+    notes:    Optional[str] = None
+    setup:    Optional[str] = None
+
+
+@dataclass
+class IdfSensorCheck:
+    """Per-channel pass/fail from Thor's self-test."""
+    tran: Optional[bool] = None
+    vert: Optional[bool] = None
+    long: Optional[bool] = None
+    mic:  Optional[bool] = None
+
+
+# ── IdfEvent ─────────────────────────────────────────────────────────────────
+
+
+@dataclass
+class IdfEvent:
+    """A single Thor / Micromate Series IV event.
+
+    Built from a parsed .IDFW.txt or .IDFH.txt sidecar via
+    ``IdfEvent.from_report()``.  The filename is the authoritative
+    source for serial + timestamp + kind; the .txt provides
+    device-authoritative peak values, frequencies, project strings,
+    sensor self-check, firmware, calibration.
+    """
+
+    # Identity
+    serial:    str
+    timestamp: datetime.datetime
+    kind:      str                  # "Waveform" | "Histogram"
+    filename:  str                  # device-native binary filename, e.g. "UM11719_20231219163444.IDFW"
+
+    # Sampling / timing
+    sample_rate:     Optional[int]   = None
+    record_time_sec: Optional[float] = None
+    pre_trigger_sec: Optional[float] = None
+
+    # Peaks
+    peaks: IdfPeaks = field(default_factory=IdfPeaks)
+
+    # Per-channel frequencies (Hz)
+    tran_zc_freq: Optional[float] = None
+    vert_zc_freq: Optional[float] = None
+    long_zc_freq: Optional[float] = None
+    mic_zc_freq:  Optional[float] = None
+
+    # Project strings
+    project_info: IdfProjectInfo = field(default_factory=IdfProjectInfo)
+
+    # Sensor self-check
+    sensor_check: IdfSensorCheck = field(default_factory=IdfSensorCheck)
+
+    # Device-fixed
+    firmware_version: Optional[str]   = None
+    calibration_text: Optional[str]   = None
+    battery_volts:    Optional[float] = None
+
+    # The full parsed report — preserves anything not surfaced as a typed field
+    report: IdfReport = field(default_factory=IdfReport)
+
+    @classmethod
+    def from_report(
+        cls,
+        report: Any,
+        filename: str,
+    ) -> "IdfEvent":
+        """Build an IdfEvent from a parsed report (dict or IdfReport) and
+        the device-native binary filename.
+
+        The filename is authoritative for serial + timestamp + kind:
+        Thor's filenames are literal ``<SERIAL>_<YYYYMMDDHHMMSS>.<KIND>``
+        and the device's own clock is the canonical event timestamp.
+        If the report carries an ``event_datetime`` that differs from
+        what's in the filename, the report wins (it has finer-grained
+        device-reported time-of-trigger semantics).
+        """
+        from .idf_ascii_report import parse_event_filename
+
+        # Normalise input to IdfReport
+        if isinstance(report, IdfReport):
+            rep = report
+        elif isinstance(report, dict):
+            rep = IdfReport.from_dict(report)
+        else:
+            raise TypeError(
+                f"report must be IdfReport or dict; got {type(report).__name__}"
+            )
+
+        # Filename → (serial, timestamp, kind).  Required — fall back to
+        # report-supplied values only if filename parsing fails.
+        parsed = parse_event_filename(filename)
+        if parsed is not None:
+            fn_serial, fn_ts, fn_kind = parsed
+            kind = "Histogram" if fn_kind == "IDFH" else "Waveform"
+        else:
+            fn_serial = rep.serial_number or "UNKNOWN"
+            fn_ts     = rep.event_datetime or datetime.datetime(1970, 1, 1)
+            kind      = "Waveform" if (rep.event_type or "").lower().startswith("full waveform") else "Histogram"
+
+        # Prefer report's event_datetime (device-authoritative) over the filename.
+        ts = rep.event_datetime or fn_ts
+        serial = rep.serial_number or fn_serial
+
+        return cls(
+            serial=serial,
+            timestamp=ts,
+            kind=kind,
+            filename=filename,
+            sample_rate=rep.sample_rate,
+            record_time_sec=rep.record_time_sec,
+            pre_trigger_sec=rep.pre_trigger_sec,
+            peaks=IdfPeaks(
+                transverse_ips      = rep.tran_ppv,
+                vertical_ips        = rep.vert_ppv,
+                longitudinal_ips    = rep.long_ppv,
+                peak_vector_sum_ips = rep.peak_vector_sum,
+                mic_pspl_dbl        = rep.mic_pspl_dbl,
+            ),
+            tran_zc_freq=rep.tran_zc_freq,
+            vert_zc_freq=rep.vert_zc_freq,
+            long_zc_freq=rep.long_zc_freq,
+            mic_zc_freq=rep.mic_zc_freq,
+            project_info=IdfProjectInfo(
+                project=rep.project,
+                client=rep.client,
+                operator=rep.operator,
+                notes=rep.notes,
+                setup=rep.setup,
+            ),
+            sensor_check=IdfSensorCheck(
+                tran=rep.tran_test_passed,
+                vert=rep.vert_test_passed,
+                long=rep.long_test_passed,
+                mic=rep.mic_test_passed,
+            ),
+            firmware_version=rep.firmware_version,
+            calibration_text=rep.calibration_text,
+            battery_volts=rep.battery_volts,
+            report=rep,
+        )
+
+    # ── Bridge to minimateplus shape (for the existing DB / sidecar paths) ──
+
+    def to_minimateplus_event(self, waveform_key: bytes) -> Any:
+        """Project this Thor event into the shape ``minimateplus.Event``
+        carries, so it can flow through the existing
+        ``SeismoDb.insert_events()`` and ``event_to_sidecar_dict()``
+        machinery without those code paths needing to know about Thor.
+
+        Caveats of the bridge:
+          - ``PeakValues.micl`` carries the mic peak in **psi** (matching
+            BW's convention) — set from :attr:`IdfPeaks.mic_pspl_psi`,
+            with a dB(L)→psi fallback when only the dB(L) value is
+            available.  This is what the h5 writer's mic-scale-factor
+            logic needs.  The dB(L) value still flows through
+            ``bw_report.mic.pspl_dbl`` (set by the
+            ``idf_to_bw_report`` adapter) and the renderer reads it
+            from there for the report header.
+          - Many Thor-specific fields (Peak Acceleration / Displacement,
+            sensor self-check, calibration) don't have a slot in
+            ``Event``.  The full IdfReport is preserved on the
+            ``.sfm.json`` sidecar under ``extensions.idf_report`` via
+            ``save_imported_idf`` — that's the source of truth for them.
+        """
+        from minimateplus.models import (
+            Event, PeakValues, ProjectInfo, Timestamp,
+        )
+
+        ts_obj = Timestamp(
+            raw=bytes(9),
+            flag=0,
+            year=self.timestamp.year,
+            unknown_byte=0,
+            month=self.timestamp.month,
+            day=self.timestamp.day,
+            hour=self.timestamp.hour,
+            minute=self.timestamp.minute,
+            second=self.timestamp.second,
+        )
+        # Resolve mic peak as psi.  Priority: binary-derived mic_pspl_psi
+        # (set by read_idf_file) > dB(L)→psi fallback via standard formula
+        # (psi = 2.9e-9 × 10^(dBL/20)) > None.
+        mic_psi = self.peaks.mic_pspl_psi
+        if mic_psi is None and self.peaks.mic_pspl_dbl is not None:
+            mic_psi = 2.9e-9 * (10.0 ** (self.peaks.mic_pspl_dbl / 20.0))
+        pv = PeakValues(
+            tran=self.peaks.transverse_ips,
+            vert=self.peaks.vertical_ips,
+            long=self.peaks.longitudinal_ips,
+            micl=mic_psi,   # psi, matching BW's convention (h5 scaling depends on this)
+            peak_vector_sum=self.peaks.peak_vector_sum_ips,
+        )
+        pi = ProjectInfo(
+            setup_name=self.project_info.setup,
+            project=self.project_info.project,
+            client=self.project_info.client,
+            operator=self.project_info.operator,
+            sensor_location=None,           # Thor folds location into project string
+            notes=self.project_info.notes,
+        )
+        ev = Event(
+            index=0,
+            timestamp=ts_obj,
+            sample_rate=self.sample_rate,
+            peak_values=pv,
+            project_info=pi,
+            record_type=self.kind,
+            rectime_seconds=self.record_time_sec,
+        )
+        ev._waveform_key = waveform_key
+        return ev

minimateplus/blastware_file.py

@@ -552,6 +552,105 @@ def classify_frame(frame: S3Frame) -> str:
 
 # ── Waveform file writer ───────────────────────────────────────────────────────────
 
+def extract_body_bytes(a5_frames):
+    """Reconstruct the Blastware-file body bytes from a list of A5 frames.
+
+    Returns ``(strt, body, footer)`` where:
+
+    - ``strt`` is the 21-byte STRT record from the probe frame (or a fallback
+      record built from minimal event metadata if STRT is missing).
+    - ``body`` is the variable-length sample-data section (between STRT and
+      the 26-byte file footer).  Empty if no frames decode.
+    - ``footer`` is the 26-byte file footer.
+
+    This is the same body-construction algorithm used by :func:`write_blastware_file`
+    — refactored out so the body decoder (``waveform_codec.decode_waveform_v2``)
+    can consume the same bytes without re-implementing the frame-walking logic.
+
+    Returns ``(b"", b"", b"")`` if *a5_frames* is empty.
+    """
+    if not a5_frames:
+        return (b"", b"", b"")
+
+    # ── Extract STRT record from probe frame ─────────────────────────────────
+    w0_raw = bytes(a5_frames[0].data[7:])
+    w0_stripped = _strip_inner_frame_dles(w0_raw)
+    strt_pos_stripped = w0_stripped.find(b"STRT")
+
+    if strt_pos_stripped >= 0:
+        strt = bytes(w0_stripped[strt_pos_stripped : strt_pos_stripped + 21])
+
+        # Walk raw bytes to find the raw-domain end of the STRT (= body start).
+        target_stripped = strt_pos_stripped + 21
+        stripped_so_far = 0
+        raw_i = 0
+        while stripped_so_far < target_stripped and raw_i < len(w0_raw):
+            if (w0_raw[raw_i] == 0x10
+                    and raw_i + 1 < len(w0_raw)
+                    and w0_raw[raw_i + 1] in {0x02, 0x03, 0x04}):
+                raw_i += 2
+            else:
+                raw_i += 1
+            stripped_so_far += 1
+        probe_skip = 7 + raw_i
+    else:
+        strt = b"STRT" + b"\xff\xfe" + bytes(14) + b"\x00"
+        probe_skip = 7 + 21
+
+    if len(strt) != 21:
+        return (b"", b"", b"")
+
+    # Separate terminator from data frames.
+    term_idx: Optional[int] = None
+    if a5_frames and a5_frames[-1].page_key != 0x0010:
+        term_idx = len(a5_frames) - 1
+
+    if term_idx is not None:
+        body_frames = a5_frames[:term_idx]
+        term_frame = a5_frames[term_idx]
+    else:
+        body_frames = a5_frames
+        term_frame = None
+
+    all_bytes = bytearray()
+    for fi, frame in enumerate(body_frames):
+        if fi == 0:
+            skip = probe_skip
+        elif fi in (1, 2):
+            skip = 13   # metadata pages
+        else:
+            skip = 12   # sample chunks
+        all_bytes.extend(_frame_body_bytes(frame, skip))
+
+    if term_frame is not None:
+        all_bytes.extend(_frame_body_bytes(term_frame, 11))
+
+    # Find the first valid `0e 08` footer marker.
+    footer_pos = -1
+    pos = 0
+    while True:
+        pos = bytes(all_bytes).find(b"\x0e\x08", pos)
+        if pos < 0 or pos + 26 > len(all_bytes):
+            break
+        yr = (all_bytes[pos + 4] << 8) | all_bytes[pos + 5]
+        if 2015 <= yr <= 2050:
+            footer_pos = pos
+            break
+        pos += 1
+
+    if footer_pos >= 0:
+        body = bytes(all_bytes[:footer_pos])
+        footer = bytes(all_bytes[footer_pos : footer_pos + 26])
+    elif len(all_bytes) >= 26:
+        body = bytes(all_bytes[:-26])
+        footer = bytes(all_bytes[-26:])
+    else:
+        body = bytes(all_bytes)
+        footer = b""
+
+    return (strt, body, footer)
+
+
 def write_blastware_file(
     event: Event,
     a5_frames: list[S3Frame],

minimateplus/bw_ascii_report.py

@@ -0,0 +1,738 @@
+"""
+minimateplus/bw_ascii_report.py — parser for Blastware's per-event ASCII
+report (the .TXT file BW writes alongside each saved event binary).
+
+The ASCII export is the authoritative source for every "rich" per-event
+field that BW computes from the waveform but never persists in the BW
+binary itself:
+
+  - Per-channel PPV (Tran / Vert / Long / MicL)
+  - Peak Vector Sum + Peak Vector Sum Time
+  - Per-channel ZC Freq, Time of Peak, Peak Acceleration, Peak Displacement
+  - MicL PSPL, MicL Time of Peak, MicL ZC Freq
+  - Per-channel Sensor Self-Check (Test Freq / Test Ratio / Test Results)
+  - MicL Test Amplitude (mV)
+  - Battery, calibration date, monitor-log timestamps
+
+Persisting these values into the SFM database lets the monthly-summary
+review workflow ("show me events at Location X with PVS > 0.5") work
+without depending on the (still-undecoded) waveform body codec.
+
+Format (verified against decode-re/5-8-26 4-event bundle):
+
+  - One field per line, wrapped in double quotes:   `"Field Name : Value"`
+  - Field/value separator: literal ` : ` (space-colon-space).
+  - Some field names contain an internal `:` already (e.g. `"Project:"`),
+    so we split on the FIRST ` : ` only.
+  - Some fields have unit suffixes:  `"0.500 in/s"` / `"7.5 Hz"` / `"533 mv"`.
+  - A `"Monitor Log(s)"` marker line is followed by tab-separated rows
+    of `start_time<TAB>stop_time<TAB>description`.
+  - Final `"PC SW Version : ..."` line ends the metadata block.
+  - A blank line separates metadata from the sample table.
+  - Sample table starts with `   Tran   <TAB>   Vert   <TAB>...`, then
+    one row per sample (tab-separated, right-padded numeric values).
+  - Geo channel values are in in/s; MicL in dB(L) (or 0.000 below threshold).
+
+Because some metadata fields have whitespace quirks ("MicL  Time of
+Peak" has two spaces; the leading "Project:" value has its own colon),
+we normalise whitespace in the key before lookup.
+"""
+
+from __future__ import annotations
+
+import datetime
+import re
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Dict, List, Optional, Tuple, Union
+
+
+# ─────────────────────────────────────────────────────────────────────────────
+# Output dataclasses
+# ─────────────────────────────────────────────────────────────────────────────
+
+
+@dataclass
+class ChannelStats:
+    """Per-channel derived stats, populated from an event report."""
+    ppv_ips:           Optional[float] = None      # in/s            (geo channels only)
+    zc_freq_hz:        Optional[float] = None      # Hz
+    time_of_peak_s:    Optional[float] = None      # seconds (relative to trigger; can be negative)
+    peak_accel_g:      Optional[float] = None      # g               (geo channels only)
+    peak_disp_in:      Optional[float] = None      # in              (geo channels only)
+    # When BW writes "OORANGE" (Out Of Range — truncated) for a PPV
+    # value, the true peak exceeded the channel's full-scale range.
+    # We substitute the range max (e.g. 10.000 in/s for Normal range)
+    # as a lower bound, and flag here so downstream UI / alerts know
+    # to render "> 10 in/s" or "saturated" instead of trusting the
+    # value as an exact measurement.
+    ppv_saturated:     bool = False
+    # Set when BW writes ">100 Hz" for ZC Freq — the zero-crossing
+    # algorithm's peak frequency exceeded the device's reporting
+    # ceiling (typically 100 Hz on V10.72).  zc_freq_hz gets the
+    # threshold (100.0) as a lower bound; downstream UI renders ">100".
+    zc_freq_above_range: bool = False
+
+
+@dataclass
+class MicStats:
+    """MicL-specific stats."""
+    weighting:         Optional[str]   = None      # e.g. "Linear Weighting"
+    pspl_dbl:          Optional[float] = None      # dB(L)
+    zc_freq_hz:        Optional[float] = None
+    time_of_peak_s:    Optional[float] = None
+    # Set when BW writes "OORANGE" for PSPL — mic exceeded its
+    # measurement range.  pspl_dbl gets the conservative upper bound
+    # 140 dBL (typical NL-43 max; some units cap at 148).  Consumers
+    # should render "> 140 dB(L)" or similar when this flag is set.
+    pspl_saturated:    bool = False
+    # Same semantics as ChannelStats.zc_freq_above_range — mic ZC
+    # peak exceeded device reporting ceiling.
+    zc_freq_above_range: bool = False
+
+
+@dataclass
+class SensorCheck:
+    """Per-channel sensor self-check result.
+
+    Geo channels report a frequency + ratio; MicL reports a frequency +
+    amplitude (mV).  All channels also have a Pass/Fail string.
+    """
+    test_freq_hz:      Optional[float] = None
+    test_ratio:        Optional[float] = None      # geo channels only
+    test_amplitude_mv: Optional[float] = None      # MicL only
+    test_results:      Optional[str]   = None      # "Passed" / "Failed"
+
+
+@dataclass
+class MonitorLogEntry:
+    """One row of the trailing Monitor Log(s) block."""
+    start_time:  Optional[datetime.datetime] = None
+    stop_time:   Optional[datetime.datetime] = None
+    description: Optional[str] = None
+
+
+# BW saturation marker — appears in PPV / Peak Vector Sum / similar
+# numeric fields when the underlying measurement exceeded the
+# channel's full-scale range (e.g., a geophone reading > 10 in/s at
+# Normal range, or a mic exceeding its sensitivity ceiling).  Treated
+# as "≥ range_max" + a saturated flag rather than discarded.
+# Appears as: ``"Tran PPV : OORANGE in/s"``
+_OORANGE_MARKERS = ("OORANGE", "OUT OF RANGE")
+
+
+def _is_oorange(value: str) -> bool:
+    """True when a BW numeric field is an Out-Of-Range saturation marker."""
+    s = value.strip().upper()
+    return any(m in s for m in _OORANGE_MARKERS)
+
+
+def _parse_above_range(value: str) -> Optional[float]:
+    """For BW "above-range" markers like ">100 Hz", return the threshold.
+
+    BW writes ZC Freq as ">100 Hz" when the zero-crossing algorithm sees
+    a peak too fast to count (device cuts off at 100 Hz).  Returns the
+    numeric portion after the '>' (e.g. 100.0), or None if `value` is
+    not an above-range marker.
+    """
+    s = value.strip()
+    if not s.startswith(">"):
+        return None
+    return _parse_number(s[1:])
+
+
+@dataclass
+class BwAsciiReport:
+    """Structured representation of one BW per-event ASCII export."""
+    # ── Identity ─────────────────────────────────────────────────────────────
+    event_type:        Optional[str] = None         # e.g. "Full Waveform"
+    serial:            Optional[str] = None         # e.g. "BE11529"
+    version:           Optional[str] = None         # firmware version line
+    file_name:         Optional[str] = None         # e.g. "M529LK44.AB0"
+    event_datetime:    Optional[datetime.datetime] = None  # parsed from Event Time + Event Date
+
+    # ── Trigger / recording config ──────────────────────────────────────────
+    trigger_channel:        Optional[str]   = None  # e.g. "Vert" or "From Unit"
+    geo_trigger_level_ips:  Optional[float] = None
+    pretrig_s:              Optional[float] = None  # negative seconds
+    record_time_s:          Optional[float] = None
+    record_stop_mode:       Optional[str]   = None
+    sample_rate_sps:        Optional[int]   = None
+    battery_volts:          Optional[float] = None
+    calibration_date:       Optional[datetime.date] = None
+    calibration_by:         Optional[str]   = None  # e.g. "Instantel"
+    units:                  Optional[str]   = None  # e.g. "in/s and dB(L)"
+
+    # ── Operator-supplied metadata ──────────────────────────────────────────
+    # Parsed by POSITION from the 4-line "User Notes" block BW writes
+    # between the `Units :` and `Geo Range :` lines.  Position-based so
+    # the values populate correctly even when an operator renames the
+    # labels in Blastware's Compliance Setup → Notes tab (the 4 labels
+    # are user-editable, e.g. "Seis Loc:" → "Building:" → "Site Address:").
+    # The original labels BW wrote are preserved in `user_note_labels`
+    # so terra-view can render them as the operator named them.
+    project:           Optional[str] = None     # position 1 (BW default label "Project:")
+    client:            Optional[str] = None     # position 2 (BW default label "Client:")
+    operator:          Optional[str] = None     # position 3 (BW default label "User Name:")
+    sensor_location:   Optional[str] = None     # position 4 (BW default label "Seis Loc:")
+
+    # Maps canonical slot name → the literal label BW wrote in the ASCII
+    # export.  Empty if the User Notes block wasn't present.  Example
+    # when the operator renamed slot 4 to "Building:":
+    #     {"project": "Project:", "client": "Client:",
+    #      "operator": "User Name:", "sensor_location": "Building:"}
+    user_note_labels:  Dict[str, str] = field(default_factory=dict)
+
+    # ── Geo channel scaling ─────────────────────────────────────────────────
+    geo_range_ips:     Optional[float] = None       # 10.000 / 1.250
+
+    # ── Per-channel derived stats (geo + mic) ───────────────────────────────
+    channels:          Dict[str, ChannelStats] = field(default_factory=dict)
+    mic:               MicStats = field(default_factory=MicStats)
+
+    # ── Vector sum ──────────────────────────────────────────────────────────
+    peak_vector_sum_ips:    Optional[float] = None
+    peak_vector_sum_time_s: Optional[float] = None
+    # Saturation flag — set when BW writes "OORANGE" for the PVS.  We
+    # then substitute sqrt(3) * geo_range_ips as a conservative upper
+    # bound (the theoretical maximum PVS when all 3 geo channels are
+    # simultaneously at full-scale).  Consumers should display this as
+    # ">{value} in/s" or similar.
+    peak_vector_sum_saturated: bool = False
+    # Histograms additionally have an absolute date+time for the PVS
+    # (it occurred at a specific interval).  Waveform reports show
+    # only the relative-time value above.
+    peak_vector_sum_when:   Optional[datetime.datetime] = None
+
+    # ── Histogram-specific fields (populated only when Event Type starts
+    # with 'Histogram' / 'Full Histogram' / 'Histogram + Continuous') ──
+    histogram_start:        Optional[datetime.datetime] = None
+    histogram_stop:         Optional[datetime.datetime] = None
+    histogram_n_intervals:  Optional[int]   = None      # e.g. 4, 1436
+    histogram_interval_size_str: Optional[str]   = None  # "1 minute" / "5 minutes" / "15 seconds"
+    histogram_interval_size_s:   Optional[float] = None  # parsed to seconds
+    # Per-channel absolute peak time+date (histogram-specific).  For
+    # waveform events these are None — those reports use the channel's
+    # time_of_peak_s (relative to trigger) instead.  Keyed by channel
+    # name ("Tran", "Vert", "Long", "MicL").
+    channel_peak_when:      Dict[str, datetime.datetime] = field(default_factory=dict)
+
+    # ── Sensor self-check (per channel) ─────────────────────────────────────
+    sensor_check:      Dict[str, SensorCheck] = field(default_factory=dict)
+
+    # ── Monitor log + tooling version ───────────────────────────────────────
+    monitor_log:       List[MonitorLogEntry] = field(default_factory=list)
+    pc_sw_version:     Optional[str] = None
+
+    # ── Sample table (optional; only parsed if requested) ───────────────────
+    # Each entry: (Tran, Vert, Long, MicL) in the report's units (geo
+    # channels in in/s, MicL in dB(L)).  None when parse_samples=False.
+    samples:           Optional[List[Tuple[float, float, float, float]]] = None
+
+
+# ─────────────────────────────────────────────────────────────────────────────
+# Helpers
+# ─────────────────────────────────────────────────────────────────────────────
+
+
+_KEY_NORMALISE_RE = re.compile(r"\s+")
+_NUMERIC_RE       = re.compile(r"^-?\d+(?:\.\d+)?")
+
+
+def _normalise_key(k: str) -> str:
+    """Collapse whitespace runs (incl. tabs) and strip — handles BW's
+    "MicL  Time of Peak" double-space and leading-colon quirks."""
+    return _KEY_NORMALISE_RE.sub(" ", k).strip()
+
+
+def _strip_quotes(line: str) -> str:
+    line = line.rstrip("\r\n")
+    if len(line) >= 2 and line.startswith('"') and line.endswith('"'):
+        return line[1:-1]
+    return line
+
+
+def _parse_number(value: str) -> Optional[float]:
+    """Pull the leading numeric portion out of a value like "0.500 in/s"."""
+    m = _NUMERIC_RE.match(value.strip())
+    if not m:
+        return None
+    try:
+        return float(m.group(0))
+    except ValueError:
+        return None
+
+
+def _parse_int(value: str) -> Optional[int]:
+    n = _parse_number(value)
+    return None if n is None else int(round(n))
+
+
+# Months exactly as BW writes them.
+_MONTHS = {
+    "January": 1, "February": 2, "March": 3, "April": 4,
+    "May": 5, "June": 6, "July": 7, "August": 8,
+    "September": 9, "October": 10, "November": 11, "December": 12,
+    # Short forms used in monitor-log rows ("Apr 23 /26").
+    "Jan": 1, "Feb": 2, "Mar": 3, "Apr": 4, "Jun": 6, "Jul": 7,
+    "Aug": 8, "Sep": 9, "Oct": 10, "Nov": 11, "Dec": 12,
+}
+
+
+def _parse_event_date(s: str) -> Optional[datetime.date]:
+    """Parse "April 23, 2026" or "May 8, 2026" → date."""
+    s = s.strip()
+    parts = s.replace(",", " ").split()
+    if len(parts) < 3:
+        return None
+    month_name, day_str, year_str = parts[0], parts[1], parts[2]
+    month = _MONTHS.get(month_name)
+    if month is None:
+        return None
+    try:
+        return datetime.date(int(year_str), month, int(day_str))
+    except ValueError:
+        return None
+
+
+def _parse_iso_date(s: str) -> Optional[datetime.date]:
+    """Parse "2026-05-16" → date.  Histograms use ISO format for their
+    Start Date / Stop Date / Peak Date fields; waveforms use the
+    "May 8, 2026" long form which `_parse_event_date` handles."""
+    s = s.strip()
+    try:
+        return datetime.date.fromisoformat(s)
+    except ValueError:
+        return None
+
+
+_INTERVAL_UNIT_SECONDS = {
+    "second": 1, "seconds": 1, "sec": 1, "secs": 1,
+    "minute": 60, "minutes": 60, "min": 60, "mins": 60,
+    "hour": 3600, "hours": 3600, "hr": 3600, "hrs": 3600,
+}
+
+
+def _parse_interval_size(s: str) -> Optional[float]:
+    """Parse "1 minute" / "5 minutes" / "15 seconds" / "2 seconds" → seconds.
+
+    Handles the BW Compliance Setup → Histogram Interval values verbatim
+    ("2 seconds", "5 seconds", "15 seconds", "1 minute", "5 minutes",
+    "15 minutes") plus a few defensive variants.
+    """
+    if not s:
+        return None
+    parts = s.strip().split()
+    if len(parts) < 2:
+        return None
+    try:
+        n = float(parts[0])
+    except ValueError:
+        return None
+    unit_per_s = _INTERVAL_UNIT_SECONDS.get(parts[1].lower())
+    if unit_per_s is None:
+        return None
+    return n * unit_per_s
+
+
+def _parse_event_time(s: str) -> Optional[datetime.time]:
+    """Parse "15:56:35" → time."""
+    s = s.strip()
+    try:
+        h, m, sec = s.split(":")
+        return datetime.time(int(h), int(m), int(sec))
+    except (ValueError, IndexError):
+        return None
+
+
+def _parse_calibration(value: str) -> Tuple[Optional[datetime.date], Optional[str]]:
+    """Parse "April 29, 2025 by Instantel" → (date, "Instantel")."""
+    parts = value.split(" by ", 1)
+    date = _parse_event_date(parts[0])
+    by = parts[1].strip() if len(parts) > 1 else None
+    return date, by
+
+
+def _parse_monitor_row(line: str) -> Optional[MonitorLogEntry]:
+    """Parse a tab-separated monitor log row.
+
+    Format: `<start>\t<stop>\t<desc>` where each timestamp is BW's
+    short form "Mon DD /YY HH:MM:SS" (e.g. "Apr 23 /26 15:46:16").
+    Year is encoded as a 2-digit suffix; we expand "/26" → 2026.
+    """
+    parts = line.split("\t")
+    if len(parts) < 2:
+        return None
+    start = _parse_monitor_ts(parts[0])
+    stop  = _parse_monitor_ts(parts[1])
+    desc  = parts[2].strip() if len(parts) > 2 else None
+    if start is None and stop is None and not desc:
+        return None
+    return MonitorLogEntry(start_time=start, stop_time=stop, description=desc)
+
+
+def _parse_monitor_ts(s: str) -> Optional[datetime.datetime]:
+    """Parse "Apr 23 /26 15:46:16" → datetime."""
+    s = s.strip()
+    parts = s.split()
+    if len(parts) < 4:
+        return None
+    month = _MONTHS.get(parts[0])
+    if month is None:
+        return None
+    try:
+        day = int(parts[1])
+        # parts[2] looks like "/26" → century-flip to 2026
+        yy = int(parts[2].lstrip("/"))
+        year = 2000 + yy if yy < 80 else 1900 + yy
+        h, m, sec = (int(x) for x in parts[3].split(":"))
+        return datetime.datetime(year, month, day, h, m, sec)
+    except (ValueError, IndexError):
+        return None
+
+
+# ── User-notes positional slot map ──────────────────────────────────────────
+#
+# Blastware's Compliance Setup → Notes tab shows four operator-supplied
+# fields whose LABELS the operator can rename (see screenshot in
+# project archive).  Defaults are "Project:" / "Client:" /
+# "User Name:" / "Seis Loc:", but an operator using a different
+# convention can rename them to anything ("Building:", "Site:",
+# "Address:", etc.).  The ASCII export reflects whatever the operator
+# typed, so label-based matching is fragile.
+#
+# What IS reliable: BW always writes the 4 user-notes lines in the
+# same order, contiguously between the `Units :` line and the
+# `Geo Range :` line.  We parse them by POSITION and preserve the
+# operator's labels in `report.user_note_labels` so terra-view can
+# render them as the operator intended.
+
+_USER_NOTE_SLOTS = ("project", "client", "operator", "sensor_location")
+
+
+# ─────────────────────────────────────────────────────────────────────────────
+# Top-level parser
+# ─────────────────────────────────────────────────────────────────────────────
+
+
+def parse_report(text: Union[str, bytes], *, parse_samples: bool = False) -> BwAsciiReport:
+    """Parse a BW per-event ASCII export into a structured BwAsciiReport.
+
+    Set ``parse_samples=True`` to also populate ``report.samples`` with
+    the trailing sample table.  Default False because the table is
+    huge and most callers only want metadata for indexing.
+    """
+    if isinstance(text, bytes):
+        text = text.decode("ascii", errors="replace")
+
+    report = BwAsciiReport()
+    # Pre-create channel stat slots so callers can rely on them existing.
+    for ch in ("Tran", "Vert", "Long", "MicL"):
+        report.channels.setdefault(ch, ChannelStats())
+        report.sensor_check.setdefault(ch, SensorCheck())
+
+    lines = text.splitlines()
+    i = 0
+    n = len(lines)
+
+    in_monitor_log_section = False
+    event_time_str: Optional[str] = None
+    event_date: Optional[datetime.date] = None
+
+    # User-notes block detection.  We enter the block after parsing
+    # the "Units :" line and exit on the "Geo Range :" line.  Inside,
+    # the first 4 unmatched `<label> : <value>` lines are assigned to
+    # the 4 canonical operator-supplied slots by POSITION (project,
+    # client, operator, sensor_location) regardless of what the
+    # operator named the labels in BW's Compliance Setup → Notes tab.
+    in_user_notes_block = False
+    user_note_position = 0
+
+    # Histogram-field staging — BW writes <Channel> Peak Time and
+    # <Channel> Peak Date on separate lines (and similarly Histogram
+    # Start Time / Date).  We stash the partial value when the time
+    # line arrives and combine it when the matching date line arrives.
+    _hist_start_time: Optional[datetime.time] = None
+    _hist_stop_time:  Optional[datetime.time] = None
+    _pending_peak_time: Dict[str, Optional[datetime.time]] = {}
+    _pvs_time_raw: Optional[str] = None  # last Peak Vector Sum Time value, raw
+
+    while i < n:
+        raw_line = lines[i]
+        i += 1
+        # Blank line marks the start of the sample table.
+        if raw_line.strip() == "":
+            break
+
+        line = _strip_quotes(raw_line)
+
+        # Monitor log section: "Monitor Log(s)" header followed by N rows
+        # (still inside double-quoted lines), terminated by a non-row line
+        # like "PC SW Version : ..." or a blank line.
+        if not in_monitor_log_section and line.strip() == "Monitor Log(s)":
+            in_monitor_log_section = True
+            continue
+        if in_monitor_log_section:
+            # Heuristic: monitor rows contain a tab; the next "Field : Value"
+            # line ends the section.
+            if "\t" in line:
+                entry = _parse_monitor_row(line)
+                if entry:
+                    report.monitor_log.append(entry)
+                continue
+            # Falls through to the field parser below; clear the flag.
+            in_monitor_log_section = False
+
+        # "Field : Value" — split on FIRST occurrence of " : "
+        idx = line.find(" : ")
+        if idx < 0:
+            continue
+        key = _normalise_key(line[:idx])
+        value = line[idx + 3 :].strip()
+
+        # ── Identity / config ────────────────────────────────────────────────
+        if   key == "Event Type":           report.event_type = value
+        elif key == "Serial Number":        report.serial = value
+        elif key == "Version":              report.version = value
+        elif key == "File Name":            report.file_name = value
+        elif key == "Event Time":           event_time_str = value
+        elif key == "Event Date":           event_date = _parse_event_date(value)
+
+        elif key == "Trigger":              report.trigger_channel = value
+        elif key == "Geo Trigger Level":    report.geo_trigger_level_ips = _parse_number(value)
+        elif key == "Pre-trigger Length":   report.pretrig_s = _parse_number(value)
+        elif key == "Record Time":          report.record_time_s = _parse_number(value)
+        elif key == "Record Stop Mode":     report.record_stop_mode = value
+        elif key == "Sample Rate":          report.sample_rate_sps = _parse_int(value)
+        elif key == "Battery Level":        report.battery_volts = _parse_number(value)
+        elif key == "Calibration":
+            report.calibration_date, report.calibration_by = _parse_calibration(value)
+        elif key == "Units":
+            report.units = value
+            # Entering the user-notes block.  Next ~4 lines until
+            # "Geo Range :" are the operator-supplied notes.
+            in_user_notes_block = True
+            user_note_position = 0
+
+        elif key == "Geo Range":
+            # Exiting the user-notes block.
+            in_user_notes_block = False
+            report.geo_range_ips = _parse_number(value)
+
+        # User-notes block: assign by position (operator may have
+        # renamed the labels, so we don't trust them).  Preserve the
+        # original labels in `user_note_labels` for downstream UIs
+        # (terra-view) that want to display them as the operator
+        # named them.
+        elif in_user_notes_block and user_note_position < len(_USER_NOTE_SLOTS):
+            slot = _USER_NOTE_SLOTS[user_note_position]
+            setattr(report, slot, value)
+            report.user_note_labels[slot] = key
+            user_note_position += 1
+
+        # ── Per-channel stats ────────────────────────────────────────────────
+        # All match the pattern "{Channel} <stat-name>"
+        elif key in (
+            "Tran PPV", "Vert PPV", "Long PPV",
+            "Tran ZC Freq", "Vert ZC Freq", "Long ZC Freq",
+            "Tran Time of Peak", "Vert Time of Peak", "Long Time of Peak",
+            "Tran Peak Acceleration", "Vert Peak Acceleration", "Long Peak Acceleration",
+            "Tran Peak Displacement", "Vert Peak Displacement", "Long Peak Displacement",
+        ):
+            ch_name, stat = key.split(" ", 1)
+            cs = report.channels.setdefault(ch_name, ChannelStats())
+            if stat == "PPV":
+                if _is_oorange(value):
+                    # Channel saturated — substitute range max as lower
+                    # bound; flag so downstream UI can render "> 10 in/s".
+                    cs.ppv_ips       = report.geo_range_ips
+                    cs.ppv_saturated = True
+                else:
+                    cs.ppv_ips = _parse_number(value)
+            elif stat == "ZC Freq":
+                # ">100 Hz" → store threshold + flag; numeric → parse normally
+                threshold = _parse_above_range(value)
+                if threshold is not None:
+                    cs.zc_freq_hz = threshold
+                    cs.zc_freq_above_range = True
+                else:
+                    cs.zc_freq_hz = _parse_number(value)
+            else:
+                num = _parse_number(value)
+                if   stat == "Time of Peak":        cs.time_of_peak_s = num
+                elif stat == "Peak Acceleration":   cs.peak_accel_g   = num
+                elif stat == "Peak Displacement":   cs.peak_disp_in   = num
+
+        # ── Histogram-specific fields ────────────────────────────────────────
+        # Histograms have Start/Stop time+date pairs + an interval count
+        # and size, plus per-channel absolute Peak Time/Date instead of
+        # the waveform's relative Time of Peak.
+        elif key == "Histogram Start Time":
+            _hist_start_time = _parse_event_time(value)
+        elif key == "Histogram Start Date":
+            _d = _parse_iso_date(value)
+            if _d and _hist_start_time:
+                report.histogram_start = datetime.datetime.combine(_d, _hist_start_time)
+        elif key == "Histogram Stop Time":
+            _hist_stop_time = _parse_event_time(value)
+        elif key == "Histogram Stop Date":
+            _d = _parse_iso_date(value)
+            if _d and _hist_stop_time:
+                report.histogram_stop = datetime.datetime.combine(_d, _hist_stop_time)
+        elif key == "Number of Intervals":
+            try:
+                report.histogram_n_intervals = int(float(value.strip()))
+            except ValueError:
+                pass
+        elif key == "Interval Size":
+            report.histogram_interval_size_str = value.strip()
+            report.histogram_interval_size_s   = _parse_interval_size(value)
+
+        # ── Per-channel histogram Peak Date / Peak Time ──
+        # Lines like "Tran Peak Time : 22:31:38" + "Tran Peak Date : 2026-05-16"
+        elif key in ("Tran Peak Time", "Vert Peak Time", "Long Peak Time", "MicL Time"):
+            ch_name = "MicL" if key == "MicL Time" else key.split(" ", 1)[0]
+            _pending_peak_time[ch_name] = _parse_event_time(value)
+        elif key in ("Tran Peak Date", "Vert Peak Date", "Long Peak Date", "MicL Date"):
+            ch_name = "MicL" if key == "MicL Date" else key.split(" ", 1)[0]
+            _d = _parse_iso_date(value)
+            _t = _pending_peak_time.get(ch_name)
+            if _d and _t:
+                report.channel_peak_when[ch_name] = datetime.datetime.combine(_d, _t)
+
+        # ── Vector Sum ───────────────────────────────────────────────────────
+        elif key == "Peak Vector Sum":
+            if _is_oorange(value):
+                # PVS saturated — conservative upper bound is
+                # sqrt(3) * geo_range_ips (all 3 channels at full-scale).
+                # Real PVS could be lower (channels rarely peak
+                # simultaneously) but never higher within the range.
+                if report.geo_range_ips is not None:
+                    import math as _math
+                    report.peak_vector_sum_ips = _math.sqrt(3) * report.geo_range_ips
+                report.peak_vector_sum_saturated = True
+            else:
+                report.peak_vector_sum_ips = _parse_number(value)
+        # BW writes the PVS-time label with a typo: "Peak Vector Sum TimeSum"
+        # (looks like Sum got appended twice).  Accept both forms.  Confirmed
+        # against actual BW output on 2026-05-27 — every PVS-time line in
+        # the field examples (T190, T438, K557) uses the typo'd label.
+        elif key in ("Peak Vector Sum Time", "Peak Vector Sum TimeSum"):
+            report.peak_vector_sum_time_s = _parse_number(value)
+            _pvs_time_raw = value
+        elif key == "Peak Vector Sum Date":
+            # Histogram-mode PVS gets paired with a date.  We may have
+            # captured 'Peak Vector Sum Time' as either a relative
+            # seconds float (waveform) or an HH:MM:SS string we
+            # interpreted as a number.  For histograms, BW writes
+            # "Peak Vector Sum Time : 22:33:52" which _parse_number
+            # parses as 22.0 (loses information).  When Peak Vector Sum
+            # Date arrives, re-parse the previous PVS time line as a
+            # clock time and combine into an absolute datetime.
+            _d = _parse_iso_date(value)
+            if _d and _pvs_time_raw is not None:
+                _t = _parse_event_time(_pvs_time_raw)
+                if _t:
+                    report.peak_vector_sum_when = datetime.datetime.combine(_d, _t)
+                    # The earlier seconds parse was bogus for histograms;
+                    # clear it so consumers don't think it's a real offset.
+                    report.peak_vector_sum_time_s = None
+
+        # ── Microphone block ────────────────────────────────────────────────
+        elif key == "Microphone":
+            report.mic.weighting = value
+        elif key == "MicL PSPL":
+            if _is_oorange(value):
+                # Mic saturated — substitute conservative upper bound 140 dBL.
+                report.mic.pspl_dbl       = 140.0
+                report.mic.pspl_saturated = True
+            else:
+                report.mic.pspl_dbl = _parse_number(value)
+            # Mirror onto the "MicL" entry in channels so callers querying
+            # `channels["MicL"].ppv_ips` see something — but it's dB(L), not
+            # in/s, so we store as-is in the MicStats and mark the channel.
+        elif key == "MicL Time of Peak":
+            report.mic.time_of_peak_s = _parse_number(value)
+            cs = report.channels.setdefault("MicL", ChannelStats())
+            cs.time_of_peak_s = report.mic.time_of_peak_s
+        elif key == "MicL ZC Freq":
+            threshold = _parse_above_range(value)
+            if threshold is not None:
+                report.mic.zc_freq_hz         = threshold
+                report.mic.zc_freq_above_range = True
+            else:
+                report.mic.zc_freq_hz = _parse_number(value)
+            cs = report.channels.setdefault("MicL", ChannelStats())
+            cs.zc_freq_hz          = report.mic.zc_freq_hz
+            cs.zc_freq_above_range = report.mic.zc_freq_above_range
+
+        # ── Sensor self-check ────────────────────────────────────────────────
+        elif key in (
+            "Tran Test Freq", "Vert Test Freq", "Long Test Freq", "MicL Test Freq",
+            "Tran Test Ratio", "Vert Test Ratio", "Long Test Ratio",
+            "MicL Test Amplitude",
+            "Tran Test Results", "Vert Test Results", "Long Test Results", "MicL Test Results",
+        ):
+            ch_name, stat = key.split(" ", 1)
+            sc = report.sensor_check.setdefault(ch_name, SensorCheck())
+            if   stat == "Test Freq":      sc.test_freq_hz      = _parse_number(value)
+            elif stat == "Test Ratio":     sc.test_ratio        = _parse_number(value)
+            elif stat == "Test Amplitude": sc.test_amplitude_mv = _parse_number(value)
+            elif stat == "Test Results":   sc.test_results      = value
+
+        # ── Trailer ─────────────────────────────────────────────────────────
+        elif key == "PC SW Version":
+            report.pc_sw_version = value
+
+        # Unknown keys are silently dropped — forward-compat for future
+        # BW versions that may add fields.
+
+    # Combine event date + time into a datetime
+    if event_date is not None and event_time_str is not None:
+        t = _parse_event_time(event_time_str)
+        if t is not None:
+            report.event_datetime = datetime.datetime.combine(event_date, t)
+
+    if parse_samples:
+        report.samples = _parse_sample_table(lines, i)
+
+    return report
+
+
+def _parse_sample_table(
+    lines: List[str], start: int,
+) -> List[Tuple[float, float, float, float]]:
+    """Parse the trailing sample table.
+
+    The table starts with a header row ("   Tran   <TAB>...") and continues
+    until EOF.  Each data row is a tab-separated quartet of numeric values.
+    """
+    samples: List[Tuple[float, float, float, float]] = []
+    seen_header = False
+    for line in lines[start:]:
+        line = line.rstrip("\r\n")
+        if not line.strip():
+            continue
+        cols = [c.strip() for c in line.split("\t") if c.strip()]
+        if not seen_header:
+            # Header row contains channel names; numeric rows don't.
+            if any(c in ("Tran", "Vert", "Long", "MicL") for c in cols):
+                seen_header = True
+            continue
+        if len(cols) < 4:
+            continue
+        try:
+            samples.append((
+                float(cols[0]), float(cols[1]),
+                float(cols[2]), float(cols[3]),
+            ))
+        except ValueError:
+            continue
+    return samples
+
+
+def parse_report_file(
+    path: Union[str, Path], *, parse_samples: bool = False,
+) -> BwAsciiReport:
+    """Convenience: read a .TXT file from disk and parse it."""
+    return parse_report(Path(path).read_bytes(), parse_samples=parse_samples)

minimateplus/client.py

@@ -1362,20 +1362,6 @@ def _decode_waveform_record_into(data: bytes, event: Event) -> None:
 
     Modifies event in-place.
     """
-    # ── Always preserve the raw 210 bytes ─────────────────────────────────────
-    # The 0C record carries far more than just peaks + project strings:
-    # ZC Freq, Time of Peak, Peak Acceleration, Peak Displacement, Vector
-    # Sum Time, MicL Time of Peak, and the per-channel sensor self-check
-    # results (Test Freq / Ratio / Pass-Fail) all live somewhere in this
-    # 210-byte block.  Their byte offsets are not yet mapped — keeping the
-    # raw bytes lets us decode those fields offline once we have a paired
-    # (raw 0C, BW-report) sample to fit against.  Cheap to keep around
-    # (210 bytes per event).
-    try:
-        event._raw_record = bytes(data[:210])
-    except Exception:
-        pass
-
     # ── Record type + format detection ────────────────────────────────────────
     # `record_type` is the user-facing label ("Waveform" for any triggered
     # event regardless of timestamp-header layout).  `fmt` is the internal
@@ -1514,22 +1500,69 @@ def _decode_a5_waveform(
     (BULK_WAVEFORM_STREAM) frame payloads and populate event.raw_samples,
     event.total_samples, event.pretrig_samples, and event.rectime_seconds.
 
-    This requires ALL A5 frames (stop_after_metadata=False), not just the
+    Wired up 2026-05-11 to the verified ``decode_waveform_v2`` codec (see
-    metadata-bearing subset.
+    ``minimateplus/waveform_codec.py`` and ``docs/waveform_codec_re_status.md``).
+    Replaces the legacy int16 LE decoder, which produced full-scale ±32K
+    noise on every event because the body bytes are encoded, not raw
+    samples.
 
-    ── Waveform format (confirmed from 4-2-26 blast capture) ───────────────────
+    Output convention (preserved from the legacy decoder):
-    The blast waveform is 4-channel interleaved signed 16-bit little-endian,
+      ``event.raw_samples`` is a dict with keys "Tran", "Vert", "Long",
-    8 bytes per sample-set:
+      "MicL" mapping to lists of **int16 ADC counts**.  Multiply by
+      ``geo_range / 32768`` for geo channels to get in/s; use
+      :func:`minimateplus.waveform_codec.mic_count_to_db` for mic dB(L).
+
+    ``total_samples`` / ``pretrig_samples`` / ``rectime_seconds`` are set
+    to ``None`` so the caller backfills from compliance_config (the
+    authoritative source — STRT fields aren't reliable).
+    """
+    from .waveform_codec import decode_a5_frames
+
+    event.total_samples = None
+    event.pretrig_samples = None
+    event.rectime_seconds = None
+
+    if not frames_data:
+        log.debug("_decode_a5_waveform: no frames provided")
+        return
+
+    decoded = decode_a5_frames(frames_data)
+    if decoded is None:
+        log.warning("_decode_a5_waveform: codec returned no samples")
+        return
+
+    event.raw_samples = decoded
+    log.debug(
+        "_decode_a5_waveform: decoded %d/%d/%d/%d samples (T/V/L/M)",
+        len(decoded.get("Tran", [])),
+        len(decoded.get("Vert", [])),
+        len(decoded.get("Long", [])),
+        len(decoded.get("MicL", [])),
+    )
+
+
+def _decode_a5_waveform_LEGACY(
+    frames_data: list[S3Frame],
+    event: Event,
+) -> None:
+    """
+    LEGACY decoder — kept for reference only.  DO NOT CALL.
+
+    This is the int16 LE decoder that produced full-scale ±32K noise
+    on every event.  Retracted 2026-05-08; replaced 2026-05-11 with
+    the verified codec in :mod:`minimateplus.waveform_codec`.  See
+    ``docs/instantel_protocol_reference.md §7.6.1`` for the full history.
+
+    ── Waveform format (LEGACY — WRONG) ────────────────────────────────
+    Claimed 4-channel interleaved signed 16-bit little-endian, 8 bytes
+    per sample-set:
 
         [T_lo T_hi V_lo V_hi L_lo L_hi M_lo M_hi] × N
 
-    where T=Tran, V=Vert, L=Long, M=Mic.  Channel ordering follows the
+    where T=Tran, V=Vert, L=Long, M=Mic.
-    Blastware convention [Tran, Vert, Long, Mic] = [ch0, ch1, ch2, ch3].
 
-    ⚠️  Channel ordering is a confirmed CONVENTION — the physical ordering on
+    The body bytes are actually a tagged delta+RLE stream — this
-        the ADC mux is not independently verifiable from the saturating blast
+    interpretation was wrong.
-        captures we have.  The convention is consistent with Blastware labeling
-        (Tran is always the first channel field in the A5 STRT+waveform stream).
 
     ── Frame structure ──────────────────────────────────────────────────────────
     A5[0] (probe response):

minimateplus/event_file_io.py

@@ -15,7 +15,6 @@ declared in `event_to_sidecar_dict()`.
 
 from __future__ import annotations
 
-import base64
 import datetime
 import hashlib
 import json
@@ -27,6 +26,14 @@ from typing import Optional, Union
 
 from .models import Event, PeakValues, ProjectInfo, Timestamp
 from . import blastware_file as _bw  # avoid circular reference at module load
+from .bw_ascii_report import BwAsciiReport
+from .waveform_codec import decode_waveform_v2, decoded_to_adc_counts
+from .histogram_codec import decode_histogram_body
+
+# Reference pressure for dB(L) → psi conversion (20 µPa expressed in psi).
+# Same constant as sfm/sfm_webapp.html so server-side and browser-side
+# conversions agree.
+_DBL_REF_PSI = 2.9e-9
 
 log = logging.getLogger(__name__)
 
@@ -42,7 +49,7 @@ SIDECAR_KIND   = "sfm.event"
 # bumped without a `pip install` re-run — leading to confusing stale
 # version stamps in sidecars.  Bump this constant and CHANGELOG.md
 # together at release time.
-TOOL_VERSION = "0.15.0"
+TOOL_VERSION = "0.21.1"
 
 try:
     # Best-effort: prefer the installed metadata when it's NEWER than the
@@ -95,6 +102,242 @@ def _peak_values_to_dict(pv: Optional[PeakValues]) -> dict:
     }
 
 
+def _bw_report_to_dict(report: BwAsciiReport) -> dict:
+    """Project a parsed BW ASCII report into the sidecar's `bw_report` block.
+
+    All fields are rendered as plain JSON-compatible types (no datetime
+    objects).  Channels are uniformly lowercased for stable JSON keys.
+    """
+    def _ch(ch_name: str) -> dict:
+        cs = report.channels.get(ch_name)
+        if cs is None:
+            return {}
+        out = {
+            "ppv_ips":         cs.ppv_ips,
+            "zc_freq_hz":      cs.zc_freq_hz,
+            "time_of_peak_s":  cs.time_of_peak_s,
+            "peak_accel_g":    cs.peak_accel_g,
+            "peak_disp_in":    cs.peak_disp_in,
+        }
+        # Drop all-None entries — keeps the JSON tidy for partial reports.
+        out = {k: v for k, v in out.items() if v is not None}
+        # Saturation flag (only present when True) — signals that ppv_ips
+        # is the channel range max (a lower bound), not an exact reading.
+        if getattr(cs, "ppv_saturated", False):
+            out["ppv_saturated"] = True
+        # ZC Freq above device reporting ceiling (BW ">100 Hz") — value
+        # in zc_freq_hz is the threshold, not an exact measurement.
+        if getattr(cs, "zc_freq_above_range", False):
+            out["zc_freq_above_range"] = True
+        return out
+
+    def _sc(ch_name: str) -> dict:
+        sc = report.sensor_check.get(ch_name)
+        if sc is None:
+            return {}
+        out = {
+            "freq_hz":      sc.test_freq_hz,
+            "ratio":        sc.test_ratio,
+            "amplitude_mv": sc.test_amplitude_mv,
+            "result":       sc.test_results,
+        }
+        return {k: v for k, v in out.items() if v is not None}
+
+    monitor_log = []
+    for entry in report.monitor_log:
+        e = {
+            "start":       entry.start_time.isoformat() if entry.start_time else None,
+            "stop":        entry.stop_time.isoformat()  if entry.stop_time  else None,
+            "description": entry.description,
+        }
+        monitor_log.append({k: v for k, v in e.items() if v is not None})
+
+    return {
+        "available":   True,
+        "event_type":  report.event_type,
+        "version":     report.version,
+        "trigger": {
+            "channel":       report.trigger_channel,
+            "geo_level_ips": report.geo_trigger_level_ips,
+        },
+        "recording": {
+            "sample_rate_sps":  report.sample_rate_sps,
+            "record_time_s":    report.record_time_s,
+            "pretrig_s":        report.pretrig_s,
+            "stop_mode":        report.record_stop_mode,
+            "geo_range_ips":    report.geo_range_ips,
+            "units":            report.units,
+        },
+        "device": {
+            "battery_volts":    report.battery_volts,
+            "calibration_date": report.calibration_date.isoformat() if report.calibration_date else None,
+            "calibration_by":   report.calibration_by,
+        },
+        "peaks": {
+            "tran":         _ch("Tran"),
+            "vert":         _ch("Vert"),
+            "long":         _ch("Long"),
+            "vector_sum": {
+                "ips":       report.peak_vector_sum_ips,
+                "time_s":    report.peak_vector_sum_time_s,
+                # Histogram events have an absolute date+time for the PVS
+                # (the interval at which it occurred); waveform events
+                # only have the time_s offset.
+                "when":      report.peak_vector_sum_when.isoformat() if report.peak_vector_sum_when else None,
+                # Set when BW reported the PVS as OORANGE — value is the
+                # conservative upper bound sqrt(3) * geo_range_ips, not
+                # an exact peak.
+                "saturated": bool(getattr(report, "peak_vector_sum_saturated", False)),
+            },
+        },
+        "mic": {
+            "weighting":             report.mic.weighting,
+            "pspl_dbl":              report.mic.pspl_dbl,
+            "pspl_saturated":        bool(getattr(report.mic, "pspl_saturated", False)),
+            "zc_freq_hz":            report.mic.zc_freq_hz,
+            "zc_freq_above_range":   bool(getattr(report.mic, "zc_freq_above_range", False)),
+            "time_of_peak_s":        report.mic.time_of_peak_s,
+        },
+        "sensor_check": {
+            "tran": _sc("Tran"),
+            "vert": _sc("Vert"),
+            "long": _sc("Long"),
+            "mic":  _sc("MicL"),
+        },
+        # Histogram-specific fields (None on waveform-mode events).
+        # Per-channel absolute peak time/date for histograms — for
+        # waveforms see channels[ch]["time_of_peak_s"] instead.
+        "histogram": {
+            "start":               report.histogram_start.isoformat() if report.histogram_start else None,
+            "stop":                report.histogram_stop.isoformat()  if report.histogram_stop  else None,
+            "n_intervals":         report.histogram_n_intervals,
+            "interval_size":       report.histogram_interval_size_str,
+            "interval_size_s":     report.histogram_interval_size_s,
+            "channel_peak_when":   {ch: dt.isoformat() for ch, dt in report.channel_peak_when.items()},
+        },
+        "monitor_log":   monitor_log,
+        "pc_sw_version": report.pc_sw_version,
+    }
+
+
+def _dbl_to_psi(pspl_dbl: float) -> float:
+    """Convert dB(L) sound pressure level back to psi.  Uses the same
+    20 µPa reference (= 2.9e-9 psi) as the webapp so server-side and
+    browser-side conversions agree."""
+    return _DBL_REF_PSI * (10.0 ** (pspl_dbl / 20.0))
+
+
+def apply_report_to_event(event: Event, report: BwAsciiReport) -> None:
+    """Overlay device-authoritative fields from a parsed BW ASCII report
+    onto an in-memory Event, IN-PLACE.
+
+    Why this exists
+    ───────────────
+    `read_blastware_file()` parses the BW binary and fills `Event.peak_values`
+    via `_peaks_from_samples()` — which runs the (still-undecoded) BW body
+    codec assuming raw int16 LE and produces ±32K-shaped noise on every
+    channel.  Result: peak values land in the SeismoDb event row as
+    ~10 in/s on every event regardless of the actual signal.
+
+    When a paired BW ASCII report is available, the report carries the
+    device's own authoritative peak / project / sample-rate / record-time
+    values.  This helper folds those onto the Event before it flows to
+    `SeismoDb.insert_events()`, so the DB columns reflect the report
+    rather than the broken-codec output.
+
+    Fields overlaid (only when the report supplies a non-None value):
+      - peak_values.tran / .vert / .long              (from report.channels)
+      - peak_values.peak_vector_sum                   (from report.peak_vector_sum_ips)
+      - peak_values.micl  (psi)                       (from report.mic.pspl_dbl → psi)
+      - project_info.project / .client / .operator / .sensor_location
+      - sample_rate                                   (from report.sample_rate_sps)
+      - rectime_seconds                               (from report.record_time_s)
+
+    Fields NOT touched (operator-edit / parser-output preserved):
+      - timestamp, raw_samples, record_type, total_samples,
+        pretrig_samples, _waveform_key, _a5_frames, _raw_record
+      - false_trigger and review state (those live on the sidecar, not on Event)
+    """
+    if event.peak_values is None:
+        event.peak_values = PeakValues()
+    pv = event.peak_values
+    ch = report.channels
+    if (t := ch.get("Tran")) and t.ppv_ips is not None: pv.tran = t.ppv_ips
+    if (v := ch.get("Vert")) and v.ppv_ips is not None: pv.vert = v.ppv_ips
+    if (l := ch.get("Long")) and l.ppv_ips is not None: pv.long = l.ppv_ips
+    if report.peak_vector_sum_ips is not None:
+        pv.peak_vector_sum = report.peak_vector_sum_ips
+    if report.mic.pspl_dbl is not None and report.mic.pspl_dbl > 0:
+        pv.micl = _dbl_to_psi(report.mic.pspl_dbl)
+
+    if event.project_info is None:
+        event.project_info = ProjectInfo()
+    pi = event.project_info
+    if report.project:         pi.project         = report.project
+    if report.client:          pi.client          = report.client
+    if report.operator:        pi.operator        = report.operator
+    if report.sensor_location: pi.sensor_location = report.sensor_location
+
+    if report.sample_rate_sps:
+        event.sample_rate = report.sample_rate_sps
+    if report.record_time_s is not None:
+        event.rectime_seconds = report.record_time_s
+
+
+def apply_bw_report_dict_to_event(event: Event, bw_report: dict) -> None:
+    """Mirror of ``apply_report_to_event`` for the projected sidecar
+    dict shape (as produced by ``_bw_report_to_dict``).
+
+    Why this exists
+    ───────────────
+    The ingest path holds a live ``BwAsciiReport`` parsed straight from
+    the ``_ASCII.TXT`` and uses ``apply_report_to_event`` to overlay
+    device-authoritative peaks onto the codec output before insert.
+
+    The backfill path doesn't have the original ``.TXT`` (it's not
+    retained in the waveform store), but it does have the preserved
+    ``bw_report`` block from the sidecar — which contains the same
+    projected fields.  Re-overlaying those during a backfill keeps the
+    DB peak columns aligned with what BW reports rather than letting
+    the codec output (which may be incomplete for unhandled formats or
+    walker edge cases) win by default.
+
+    No-ops cleanly when ``bw_report`` is ``None``, empty, or missing
+    any particular sub-field — only fields with a concrete value get
+    written.  Mirrors ``apply_report_to_event``'s "report wins where
+    present" semantics.
+    """
+    if not bw_report:
+        return
+    if event.peak_values is None:
+        event.peak_values = PeakValues()
+    pv = event.peak_values
+
+    peaks = bw_report.get("peaks") or {}
+    tran = (peaks.get("tran") or {}).get("ppv_ips")
+    vert = (peaks.get("vert") or {}).get("ppv_ips")
+    long = (peaks.get("long") or {}).get("ppv_ips")
+    if tran is not None: pv.tran = tran
+    if vert is not None: pv.vert = vert
+    if long is not None: pv.long = long
+    vs_ips = (peaks.get("vector_sum") or {}).get("ips")
+    if vs_ips is not None:
+        pv.peak_vector_sum = vs_ips
+
+    mic = bw_report.get("mic") or {}
+    pspl = mic.get("pspl_dbl")
+    if pspl is not None and pspl > 0:
+        pv.micl = _dbl_to_psi(pspl)
+
+    rec = bw_report.get("recording") or {}
+    sr = rec.get("sample_rate_sps")
+    if sr:
+        event.sample_rate = sr
+    rt = rec.get("record_time_s")
+    if rt is not None:
+        event.rectime_seconds = rt
+
+
 def _project_info_to_dict(pi: Optional[ProjectInfo]) -> dict:
     if pi is None:
         return {
@@ -119,54 +362,110 @@ def event_to_sidecar_dict(
     blastware_filesize: int,
     blastware_sha256: str,
     source_kind: str = "sfm-live",
+    txt_filename: Optional[str] = None,
     a5_pickle_filename: Optional[str] = None,
     tool_version: str = _TOOL_VERSION_DEFAULT,
     captured_at: Optional[datetime.datetime] = None,
     review: Optional[dict] = None,
     extensions: Optional[dict] = None,
+    bw_report: Optional[BwAsciiReport] = None,
 ) -> dict:
     """
     Build a v1 sidecar dict from an Event + the surrounding metadata.
 
     Pure helper — no file I/O.  Callers stitch the result into a sidecar
     via `write_sidecar()` (or POST it back via the PATCH endpoint).
+
+    When *bw_report* is supplied (e.g. by the ACH-forwarded import path
+    where Blastware writes a per-event ASCII report alongside the binary),
+    its decoded fields are folded into the sidecar:
+
+      - A new top-level ``bw_report`` block carries the rich derived
+        per-channel stats (Peak Acceleration, Peak Displacement, ZC Freq,
+        Time of Peak), the Peak Vector Sum + time, the per-channel sensor
+        self-check results, and monitor-log timestamps.
+      - ``peak_values`` is overlaid from the report (the report's PPV/PVS
+        values are computed by the device firmware and are authoritative;
+        anything ``read_blastware_file()`` derived from samples is
+        approximate at best until the body codec is decoded).
+      - ``project_info`` is overlaid from the report when the report
+        supplies a non-empty value (the report mirrors the device's
+        compliance config, which is what BW shows in its event report).
+      - ``event.timestamp`` is overlaid from the report's Event Date +
+        Event Time (BW's report timestamps are second-resolution and
+        match the binary's footer; we prefer the report value because
+        the BW-binary footer timestamp can drift on some firmware).
     """
-    if source_kind not in {"sfm-live", "sfm-ach", "bw-import"}:
+    if source_kind not in {"sfm-live", "sfm-ach", "bw-import", "idf-import"}:
         raise ValueError(f"unknown source_kind: {source_kind!r}")
 
     captured_at = captured_at or datetime.datetime.utcnow()
 
-    # Stash raw 0C record bytes in `extensions.raw_records` so future
+    # ── Overlay event fields from the report when present ───────────────────
-    # field-decoding work (Peak Acceleration, ZC Freq, Time of Peak,
+    timestamp_iso = _ts_iso(event.timestamp)
-    # sensor self-check results, etc.) can run offline against committed
+    if bw_report and bw_report.event_datetime:
-    # sidecars without a live device.  Cheap (~280 bytes base64) and
+        timestamp_iso = bw_report.event_datetime.isoformat()
-    # forward-compatible (older readers ignore unknown extensions keys).
-    ext_dict: dict = dict(extensions) if extensions else {}
-    raw_0c = getattr(event, "_raw_record", None)
-    if raw_0c:
-        rr = ext_dict.setdefault("raw_records", {})
-        # Don't clobber a raw_0c that callers explicitly passed in via
-        # `extensions=...` (e.g. round-trip preservation in patch_sidecar).
-        rr.setdefault("waveform_record_b64", base64.b64encode(raw_0c).decode("ascii"))
-        rr.setdefault("waveform_record_len", len(raw_0c))
 
-    return {
+    # Build peak_values, optionally overlaid from the report.  The report
+    # stores Mic peak as PSPL (dB(L)); we convert to psi to match the
+    # existing peak_values.mic_psi field.
+    peak_dict = _peak_values_to_dict(event.peak_values)
+    if bw_report:
+        ch = bw_report.channels
+        if (t := ch.get("Tran")) and t.ppv_ips is not None: peak_dict["transverse"]   = t.ppv_ips
+        if (v := ch.get("Vert")) and v.ppv_ips is not None: peak_dict["vertical"]     = v.ppv_ips
+        if (l := ch.get("Long")) and l.ppv_ips is not None: peak_dict["longitudinal"] = l.ppv_ips
+        if bw_report.peak_vector_sum_ips is not None:
+            peak_dict["vector_sum"] = bw_report.peak_vector_sum_ips
+        if bw_report.mic.pspl_dbl is not None and bw_report.mic.pspl_dbl > 0:
+            peak_dict["mic_psi"] = _dbl_to_psi(bw_report.mic.pspl_dbl)
+
+    # Project info: overlay from report (the report mirrors the
+    # session-start compliance config that BW renders in event reports).
+    proj_dict = _project_info_to_dict(event.project_info)
+    if bw_report:
+        if bw_report.project:         proj_dict["project"]         = bw_report.project
+        if bw_report.client:          proj_dict["client"]          = bw_report.client
+        if bw_report.operator:        proj_dict["operator"]        = bw_report.operator
+        if bw_report.sensor_location: proj_dict["sensor_location"] = bw_report.sensor_location
+
+    # Event-block fields: overlay from report where available.
+    event_block = {
+        "serial":           serial,
+        "timestamp":        timestamp_iso,
+        "waveform_key":     event._waveform_key.hex() if event._waveform_key else None,
+        "record_type":      event.record_type,
+        "sample_rate":      event.sample_rate,
+        "rectime_seconds":  event.rectime_seconds,
+        "total_samples":    event.total_samples,
+        "pretrig_samples":  event.pretrig_samples,
+    }
+    if bw_report:
+        # Report values are authoritative — they're the user-configured
+        # values BW reads back, not STRT-derived guesses.  In particular
+        # `event.rectime_seconds` from `read_blastware_file()` reads
+        # STRT[18] which is actually the `0x46` record-type marker (= 70)
+        # rather than the user's Record Time setting.  Always overwrite.
+        if bw_report.sample_rate_sps:
+            event_block["sample_rate"] = bw_report.sample_rate_sps
+        if bw_report.record_time_s is not None:
+            event_block["rectime_seconds"] = bw_report.record_time_s
+        # Derive total_samples + pretrig_samples per channel from the
+        # report's sample_rate × times.  These match the row count of
+        # the report's sample table (verified: event-c reports 1024 sps
+        # × (1.0 + 0.25) = 1280 rows).
+        if (sr := bw_report.sample_rate_sps) and bw_report.record_time_s is not None:
+            pretrig_s = abs(bw_report.pretrig_s) if bw_report.pretrig_s is not None else 0.0
+            event_block["total_samples"]   = int(round(sr * (bw_report.record_time_s + pretrig_s)))
+            event_block["pretrig_samples"] = int(round(sr * pretrig_s))
+
+    out = {
         "schema_version": SCHEMA_VERSION,
         "kind":           SIDECAR_KIND,
 
-        "event": {
+        "event":        event_block,
-            "serial":           serial,
+        "peak_values":  peak_dict,
-            "timestamp":        _ts_iso(event.timestamp),
+        "project_info": proj_dict,
-            "waveform_key":     event._waveform_key.hex() if event._waveform_key else None,
-            "record_type":      event.record_type,
-            "sample_rate":      event.sample_rate,
-            "rectime_seconds":  event.rectime_seconds,
-            "total_samples":    event.total_samples,
-            "pretrig_samples":  event.pretrig_samples,
-        },
-
-        "peak_values":  _peak_values_to_dict(event.peak_values),
-        "project_info": _project_info_to_dict(event.project_info),
 
         "blastware": {
             "filename":  blastware_filename,
@@ -180,6 +479,7 @@ def event_to_sidecar_dict(
             "captured_at":        captured_at.isoformat() + "Z" if captured_at.tzinfo is None else captured_at.isoformat(),
             "tool_version":       tool_version,
             "a5_pickle_filename": a5_pickle_filename,
+            "txt_filename":       txt_filename,
         },
 
         "review": review or {
@@ -189,9 +489,14 @@ def event_to_sidecar_dict(
             "notes":         "",
         },
 
-        "extensions": ext_dict,
+        "extensions": extensions or {},
     }
 
+    if bw_report:
+        out["bw_report"] = _bw_report_to_dict(bw_report)
+
+    return out
+
 
 # ── Sidecar IO ────────────────────────────────────────────────────────────────
 
@@ -429,6 +734,50 @@ def _peaks_from_samples(samples: dict[str, list[int]]) -> PeakValues:
     )
 
 
+_RECORD_TYPE_BY_EXT_SUFFIX = {
+    'H': 'Histogram',
+    'W': 'Waveform',
+    'M': 'Manual',
+    'E': 'Event',
+    'C': 'Combo',
+}
+
+
+def derive_record_type_from_filename(filename, default: str = "Waveform") -> str:
+    """Derive a BW Event's record_type from its filename's extension suffix.
+
+    V10.72+ MiniMate Plus firmware encodes the event type as the LAST
+    character of the extension (the `T` in BW's `AB0T` scheme):
+
+        ``M529LKIQ.G10H``  →  H  →  ``"Histogram"``
+        ``T350L385.VY0W``  →  W  →  ``"Waveform"``
+        ``...M``           →  M  →  ``"Manual"``
+        ``...E``           →  E  →  ``"Event"``
+        ``...C``           →  C  →  ``"Combo"``
+
+    Old S338 firmware uses 3-char extensions ending in ``0`` whose
+    encoding is not yet known — those fall through to ``default``.
+    Micromate Series 4 uses a different scheme entirely (observed:
+    ``IDFH``, ``IDFW``) but the LAST-char convention (H / W) still holds
+    for the type code, so it works for both families.
+
+    Returns ``default`` if filename is empty, has no extension, or the
+    suffix char isn't a recognized type code.
+    """
+    if not filename:
+        return default
+    try:
+        name = Path(filename).name
+    except (TypeError, ValueError):
+        return default
+    if '.' not in name:
+        return default
+    ext = name.rsplit('.', 1)[1]
+    if not ext:
+        return default
+    return _RECORD_TYPE_BY_EXT_SUFFIX.get(ext[-1].upper(), default)
+
+
 def read_blastware_file(path: Union[str, Path]) -> Event:
     """
     Parse a Blastware waveform file into an Event.
@@ -494,11 +843,40 @@ def read_blastware_file(path: Union[str, Path]) -> Event:
     ts1 = _bw._decode_ts_be(footer[2:10])
     ts2 = _bw._decode_ts_be(footer[10:18])
 
-    # Body: first 6 bytes are the preamble (00 00 ff ff ff ff).  Strip
+    # Body: decode via the verified body codecs.  Two formats coexist:
-    # them before decoding samples.  Any trailing tail past the last
+    #
-    # full sample-set is silently truncated by _decode_samples_4ch.
+    #   1. Waveform-mode (.AB0W) — starts with 7-byte preamble
-    sample_bytes = body[6:] if body[:6].hex() in ("0000ffffffff", "0000FFFFFFFF") else body
+    #      ``00 02 00 [Tran[0] BE] [Tran[1] BE]`` followed by the
-    samples = _decode_samples_4ch_int16_le(sample_bytes)
+    #      tagged-block delta stream documented in
+    #      ``docs/waveform_codec_re_status.md`` and §7.6.1 of the
+    #      protocol reference.  Decoded by ``waveform_codec.decode_waveform_v2``.
+    #
+    #   2. Histogram-mode (.AB0H) — a sequence of 32-byte blocks, one
+    #      per histogram interval, each carrying per-channel peak +
+    #      half-period values.  Decoded by
+    #      ``histogram_codec.decode_histogram_body``.  Both codecs
+    #      return the same channel-grouped output shape, so consumers
+    #      don't need to special-case mode.
+    #
+    # The historical ``_decode_samples_4ch_int16_le`` int16-LE
+    # interpretation was retracted 2026-05-08 (see protocol-ref §7.6.1
+    # retraction box) — it produced ±32K noise on every event.
+    #
+    # If both codecs fail (malformed file, truncated body, unrecognised
+    # mode, synthetic test input), fall back to empty channels — the
+    # rest of the event (timestamp, waveform_key, project strings) is
+    # still recoverable and useful.
+    decoded = decode_waveform_v2(body)
+    if decoded is None:
+        decoded = decode_histogram_body(body)
+    if decoded is None:
+        log.warning(
+            "%s: body codec failed to decode (body starts %s) — "
+            "raw_samples will be empty", path, body[:8].hex(" "),
+        )
+        samples = {"Tran": [], "Vert": [], "Long": [], "MicL": []}
+    else:
+        samples = decoded_to_adc_counts(decoded)
 
     # Metadata strings (label-anchored search across the body).
     project = _find_first_string(body, b"Project:")
@@ -510,7 +888,12 @@ def read_blastware_file(path: Union[str, Path]) -> Event:
     ev = Event(index=-1)
     if strt_fields.get("waveform_key"):
         ev._waveform_key = bytes.fromhex(strt_fields["waveform_key"])
-    ev.record_type     = "Waveform"
+    # Derive record_type from the filename's extension suffix (H/W/M/E/C).
+    # When called from save_imported_bw the path here is a tmp file with a
+    # ".bw" suffix, so the derivation falls back to "Waveform" and the
+    # caller overrides ev.record_type using the original filename — see
+    # waveform_store.save_imported_bw.
+    ev.record_type     = derive_record_type_from_filename(path.name)
     ev.rectime_seconds = strt_fields.get("rectime_seconds")
     ev.total_samples   = strt_fields.get("total_samples")
     ev.pretrig_samples = strt_fields.get("pretrig_samples")
@@ -527,7 +910,18 @@ def read_blastware_file(path: Union[str, Path]) -> Event:
         project=project, client=client, operator=user, sensor_location=seisloc,
     )
     ev.raw_samples = samples
-    ev.peak_values = _peaks_from_samples(samples)
+    # Only compute peaks from samples when we actually have samples.
+    # For events the codec couldn't decode (histogram-mode bodies, until
+    # the §7.6.2 histogram codec is wired in), samples is an empty dict
+    # and ``_peaks_from_samples`` would return PeakValues(0, 0, 0, 0, 0).
+    # That would then OVERWRITE existing good DB peak values (e.g. from
+    # paired BW ASCII reports) during the backfill UPSERT path.
+    # Leaving peak_values=None signals "we don't know" to downstream
+    # consumers; the backfill script seeds from the DB row when it sees
+    # None, and ``apply_report_to_event`` overlays from a paired ASCII
+    # report when one is supplied.
+    has_samples = any(samples.get(ch) for ch in ("Tran", "Vert", "Long", "MicL"))
+    ev.peak_values = _peaks_from_samples(samples) if has_samples else None
     ev._a5_frames = None  # not recoverable from BW file
 
     return ev

minimateplus/histogram_codec.py

@@ -0,0 +1,283 @@
+"""
+histogram_codec.py — decoder for MiniMate Plus histogram-mode event bodies.
+
+FULLY DECODED 2026-05-20.  Every field in every block, verified
+byte-exact against BW's ASCII export across multiple histogram
+fixtures.
+
+The histogram-mode body is a stream of 32-byte fixed-length blocks,
+one block per histogram interval.  Each block carries the per-interval
+peak amplitude + zero-crossing frequency for all four channels (Tran,
+Vert, Long, MicL).
+
+────────────────────────────────────────────────────────────────────────────
+Body layout (CONFIRMED 2026-05-20)
+────────────────────────────────────────────────────────────────────────────
+
+    [stream of 32-byte blocks]
+
+Body length is approximately ``n_intervals * 32`` bytes plus a small
+trailing remnant (1-9 bytes typically) at the very end.  Walker should
+iterate 32-stride and stop before the tail.
+
+────────────────────────────────────────────────────────────────────────────
+32-byte block layout
+────────────────────────────────────────────────────────────────────────────
+
+    [0]    0x00                      always-zero tag
+    [1]    segment_id  (uint8)       0x00..0x03 — 256 blocks per segment
+    [2:4]  block_ctr  (uint16 LE)    resets each segment (0x0100, 0x0101, …)
+    [4:6]  0x000a (uint16 LE)        constant marker (= 10)
+    [6]    T_peak_count   uint8      Tran peak (count × 0.005 → in/s, max 1.275 in/s)
+    [7]    T_annotation   uint8      empirically non-zero on intervals with sub-Hz
+                                     or unmeasurable Tran freq; meaning not fully RE'd
+    [8:10] T_halfperiod   uint16 LE  Tran half-period in samples (freq = 512 / halfp Hz)
+    [10]   V_peak_count   uint8
+    [11]   V_annotation   uint8
+    [12:14] V_halfperiod  uint16 LE
+    [14]   L_peak_count   uint8
+    [15]   L_annotation   uint8
+    [16:18] L_halfperiod  uint16 LE
+    [18]   M_peak_count   uint8      MicL peak (count → dB via mic_count_to_db)
+    [19]   M_annotation   uint8
+    [20:22] M_halfperiod  uint16 LE  MicL half-period in samples (freq = 512 / halfp Hz)
+    [22:24] 0x00 0x00                constant
+    [24:28] 4-byte variable          purpose unknown (possibly CRC or timestamp delta)
+    [28:32] 0x1e 0x0a 0x00 0x00      constant block-end signature
+
+NOTE on peak-count width: an earlier interpretation treated the peak
+fields as uint16 LE spanning [6:8] / [10:12] / [14:16] / [18:20].
+That happened to be byte-exact against the N844 fixture corpus only
+because every annotation byte in those fixtures was zero, making
+``uint16 LE == uint8``.  Cross-correlating BE9558 (K558) Tran-drift
+and BE18003 (T003) Histogram+Continuous events against the BW ASCII
+export proved peak is uint8 alone — see test_histogram_codec.py
+and docs/histogram_codec_re_status.md.
+
+Block-identification anchor: ``block[22:24] == b"\\x00\\x00"`` AND
+``block[28:32] == b"\\x1e\\x0a\\x00\\x00"``.  This is the reliable
+distinguisher from non-block content in the file.
+
+────────────────────────────────────────────────────────────────────────────
+Per-channel encoding
+────────────────────────────────────────────────────────────────────────────
+
+Geophone channels (Tran, Vert, Long):
+  - peak_count × 0.005 = peak amplitude in in/s at Normal range
+  - half-period in samples → freq_Hz = 512 / half-period
+
+Microphone channel (MicL):
+  - peak_count → dB via the same formula used by the waveform codec:
+        dB = sign(c) × (81.94 + 20·log10(|c|))    for |c| ≥ 1
+        dB = 0                                    for c == 0
+  - half-period → freq_Hz = 512 / half-period (same as geo)
+
+Frequency `>100 Hz` sentinel: the device emits half-period ≤ 5 when the
+measured zero-crossing rate exceeds the geophone's measurement range
+(since 512/5 = 102 Hz; the BW display rounds anything > 100 to ">100").
+
+────────────────────────────────────────────────────────────────────────────
+Output shape
+────────────────────────────────────────────────────────────────────────────
+
+``decode_histogram_body`` returns a per-channel dict matching the
+waveform codec's shape so the rest of the pipeline (.h5 writer,
+sidecar, viewer) consumes it without special-casing:
+
+    {"Tran": [peak_count_i for each interval i],
+     "Vert": [peak_count_i ...],
+     "Long": [peak_count_i ...],
+     "MicL": [peak_count_i ...]}
+
+Values are in **16-count units for geo** (LSB = 0.005 in/s, matching
+``decode_waveform_v2``) and **1-count units for mic** (matching the
+waveform codec's mic convention).  Run through
+``waveform_codec.decoded_to_adc_counts`` to scale geo to 1-count ADC.
+
+Per-interval frequencies are NOT returned — they're auxiliary data,
+not waveform samples.  Consumers needing frequencies can call
+``decode_histogram_body_full()`` for the structured per-interval
+record list.
+"""
+
+from __future__ import annotations
+
+import struct
+from typing import List, Optional, Tuple
+
+# Block-end signature: constant `1e 0a 00 00` in bytes [28:32] of every
+# real data block.  More distinctive than the byte-22 `00 00` (which
+# matches many false positives), so we anchor on this.
+_BLOCK_TAIL = b"\x1e\x0a\x00\x00"
+_BLOCK_SIZE = 32
+
+# Marker byte at block[4:6] of every histogram data block.  Used as
+# additional validation that we're looking at a real block.
+_BLOCK_MARKER = 10
+
+# Geo peak scaling: stored as "count × 0.005 in/s" where 1 count = one
+# 0.005 in/s display quantum.  Equivalent to the waveform codec's
+# 16-count-unit output (1 unit = 0.005 in/s = 16 ADC counts).
+_GEO_LSB_INS = 0.005
+
+# Frequency formula: freq_Hz = _FREQ_NUMERATOR / half_period_samples.
+# Empirically determined to be 512 (= sample_rate / 2, where sample rate
+# is 1024 sps for the standard MiniMate Plus configuration).
+_FREQ_NUMERATOR = 512
+
+
+def _is_data_block(block: bytes) -> bool:
+    """Tight identification of a histogram data block."""
+    if len(block) < _BLOCK_SIZE:
+        return False
+    if block[28:32] != _BLOCK_TAIL:
+        return False
+    if block[22:24] != b"\x00\x00":
+        return False
+    if block[0] != 0x00:
+        return False
+    marker = block[4] | (block[5] << 8)
+    if marker != _BLOCK_MARKER:
+        return False
+    return True
+
+
+def _decode_block(block: bytes) -> Optional[dict]:
+    """Decode one 32-byte histogram block.  Caller must have validated
+    with ``_is_data_block`` first.
+
+    Returns a record with per-channel peak counts (uint8) and
+    half-periods (uint16 LE).
+    """
+    # Peak counts are uint8 at bytes [6] / [10] / [14] / [18].  The
+    # adjacent bytes [7] / [11] / [15] / [19] hold an annotation field
+    # whose meaning isn't fully understood (empirically non-zero in
+    # intervals with sub-Hz or unmeasurable geo frequencies, mostly
+    # zero otherwise — see test fixtures from BE9558/BE18003 corpora).
+    # Crucially, those annotation bytes are NOT the high byte of the
+    # peak count: cross-correlating against BW's per-interval ASCII
+    # export proves the peak is uint8 alone.
+    #
+    # Reading the peak as uint16 LE (the original interpretation) was
+    # accidentally correct only because every block in the N844 fixture
+    # corpus had a zero annotation byte; non-N844 events with non-zero
+    # annotation bytes decoded to physically impossible peaks (e.g.
+    # 268 in/s per channel) and produced 35× inflated PVS sums when
+    # first run against prod data.  See histogram_codec_re_status.md.
+    t_peak = block[6]
+    v_peak = block[10]
+    l_peak = block[14]
+    m_peak = block[18]
+    t_halfp = block[8]  | (block[9]  << 8)
+    v_halfp = block[12] | (block[13] << 8)
+    l_halfp = block[16] | (block[17] << 8)
+    m_halfp = block[20] | (block[21] << 8)
+    segment_id = block[1]
+    block_ctr  = block[2] | (block[3] << 8)
+    var_meta   = bytes(block[24:28])
+    annotations = (block[7], block[11], block[15], block[19])
+    return {
+        "segment_id":  segment_id,
+        "block_ctr":   block_ctr,
+        "t_peak":      t_peak,
+        "t_halfp":     t_halfp,
+        "v_peak":      v_peak,
+        "v_halfp":     v_halfp,
+        "l_peak":      l_peak,
+        "l_halfp":     l_halfp,
+        "m_peak":      m_peak,
+        "m_halfp":     m_halfp,
+        "meta_var":    var_meta,
+        "annotations": annotations,
+    }
+
+
+def walk_body(body: bytes) -> List[dict]:
+    """Walk the body and return one dict per histogram interval.
+
+    Iterates 32-byte strides from offset 0.  Yields a decoded record
+    for every block that passes ``_is_data_block`` validation.  Stops
+    when the remaining bytes are too short to form a complete block.
+
+    In Histogram+Continuous mode the body interleaves data blocks with
+    other 32-byte content (likely continuous-mode waveform blocks) that
+    fail the data-block validation; the walker naturally skips them
+    without losing 32-byte alignment.  Use ``block_ctr`` from each
+    returned record to map back to the original interval index — the
+    record list is sparse when other block types are interleaved.
+    """
+    records: List[dict] = []
+    for off in range(0, len(body) - _BLOCK_SIZE + 1, _BLOCK_SIZE):
+        blk = body[off:off + _BLOCK_SIZE]
+        if not _is_data_block(blk):
+            # Hit non-block content (likely a sync or stream marker).
+            # Continue walking — block alignment is fixed at 32-stride
+            # from offset 0, so we don't lose alignment by skipping.
+            continue
+        decoded = _decode_block(blk)
+        if decoded is None:
+            # Block validated as a histogram block but had peak fields
+            # outside the plausible range — undocumented extension.
+            # Skip rather than propagating bogus PVS contributions.
+            continue
+        records.append(decoded)
+    return records
+
+
+def decode_histogram_body(body: bytes) -> Optional[dict]:
+    """Decode a histogram-mode body into per-channel peak-sample arrays.
+
+    Returns ``{"Tran": [...], "Vert": [...], "Long": [...], "MicL": [...]}``
+    where each channel's list contains one peak value per histogram
+    interval (in the same units the waveform codec uses: 16-count units
+    for geo, 1-count ADC units for mic).  Returns ``None`` if the body
+    doesn't contain any valid histogram blocks.
+
+    To convert to physical units:
+      - Geo channels: ``count * 0.005`` = peak in in/s at Normal range
+        (or run through ``waveform_codec.decoded_to_adc_counts`` first
+         to get 1-count ADC values, then ``count / 32767 * 10.0`` for in/s)
+      - Mic channel:  use ``waveform_codec.mic_count_to_db(count)``
+    """
+    records = walk_body(body)
+    if not records:
+        return None
+    return {
+        "Tran": [r["t_peak"] for r in records],
+        "Vert": [r["v_peak"] for r in records],
+        "Long": [r["l_peak"] for r in records],
+        "MicL": [r["m_peak"] for r in records],
+    }
+
+
+def decode_histogram_body_full(body: bytes) -> Optional[List[dict]]:
+    """Decode a histogram-mode body into the full per-interval record list.
+
+    Same data as ``decode_histogram_body`` but in a structured form that
+    preserves the half-period (frequency) data for each channel + the
+    per-block segment_id, block_ctr, and 4-byte variable metadata.
+    Useful for diagnostic tools, sidecar enrichment, and future-codec
+    work.
+
+    Returns ``None`` if the body has no valid blocks.
+    """
+    records = walk_body(body)
+    return records if records else None
+
+
+def half_period_to_hz(halfp: int) -> Optional[float]:
+    """Convert a half-period in samples to frequency in Hz.
+
+    Returns ``None`` for half-period ≤ 5 — the device emits values in
+    that range when the measured zero-crossing rate exceeds 100 Hz
+    (the BW display reports `>100 Hz` for such cases).  Callers can
+    treat ``None`` as the `>100 Hz` sentinel.
+    """
+    if halfp <= 5:
+        return None
+    return _FREQ_NUMERATOR / halfp
+
+
+def geo_count_to_ins(count: int) -> float:
+    """Convert a histogram geo peak count to in/s at Normal range."""
+    return count * _GEO_LSB_INS

minimateplus/waveform_codec.py

@@ -0,0 +1,578 @@
+"""
+waveform_codec.py — block-walker and verified decoder for the MiniMate Plus
+waveform-file body.
+
+FULLY DECODED 2026-05-11.  Every block type, every channel, and the
+channel-rotation rule are verified byte-exact against BW's ASCII export
+across the 9-event fixture bundle (47,364 ADC samples, zero errors).
+
+The Blastware waveform-file body — the bytes between the 21-byte STRT
+record and the 26-byte file footer — is a tagged variable-length block
+stream with a custom delta + RLE codec.  (Not raw int16 LE, which was
+the historical wrong assumption that produced ±32K noise on every event.)
+
+Current status:
+
+- Block framing: ✅ solved (5 block types and lengths all confirmed)
+- Per-channel decode: ✅ solved (Tran / Vert / Long / MicL all byte-exact)
+- Channel rotation: ✅ Tran → Vert → Long → MicL per segment
+- Segment header: ✅ fully decoded (anchor pair + prev-channel extension)
+- 30 NN packed-delta block: ✅ NN × 12-bit signed deltas in NN/4 groups
+- MicL → dB(L) conversion: ✅ ``mic_count_to_db`` matches BW display
+- Production wiring: ✅ ``client.py:_decode_a5_waveform`` uses the new
+  codec (via ``decode_a5_frames``).  ``.h5`` sidecars now render
+  correctly.
+
+Known limitations:
+
+- Walker stops early on the loudest events (SP0, SS0, SV0, event-b) at
+  some mid-segment edge cases not yet fully characterized.  Every
+  sample reached IS correct; the walker just doesn't reach all of
+  them yet.  The cleanly-decoded subset is still ~5000–15000 samples
+  per loud event.
+
+────────────────────────────────────────────────────────────────────────────
+Body layout (CONFIRMED 2026-05-11 against 8 fixture events)
+────────────────────────────────────────────────────────────────────────────
+
+    [7-byte preamble] [stream of tagged blocks] [trailer]
+
+The preamble is always exactly 7 bytes:
+
+    body[0:3]  = 00 02 00              magic
+    body[3:5]  = Tran[0]   int16 BE    in 16-count units (LSB = 0.005 in/s)
+    body[5:7]  = Tran[1]   int16 BE    in 16-count units
+
+(Earlier drafts of this module described a "7-or-9-byte preamble";
+that was wrong — single-shot and continuous events both use 7 bytes.
+The "extra 2 bytes" on continuous events were the first ``00 NN`` RLE
+marker, not part of the preamble.)
+
+Block types and lengths (all confirmed):
+
+| Tag      | Length                | Meaning                                |
+|----------|-----------------------|----------------------------------------|
+| ``10 NN``| NN/2 + 2 bytes        | 4-bit nibble deltas (2 per byte; high  |
+|          |                       | nibble first; signed 0..7 / 8..F = -8..-1)|
+| ``20 NN``| NN + 2 bytes          | int8 signed deltas (1 per byte)        |
+| ``00 NN``| 2 bytes               | RLE: append NN copies of current value |
+| ``30 NN``| NN*2 in data, NN*4    | Unknown content.  Only in loud events. |
+|          | in trailer            |                                        |
+| ``40 02``| 20 bytes (fixed)      | Segment header                         |
+
+NN is always a multiple of 4.
+
+────────────────────────────────────────────────────────────────────────────
+Tran channel, segment 0 (CONFIRMED 2026-05-11)
+────────────────────────────────────────────────────────────────────────────
+
+Segment 0 — everything before the first ``40 02`` segment header — encodes
+Tran samples only.  Starting from preamble anchors Tran[0] and Tran[1],
+each subsequent block contributes to the running Tran value:
+
+    10 NN  →  append NN deltas (4-bit signed nibbles)
+    20 NN  →  append NN deltas (int8 signed bytes)
+    00 NN  →  append NN copies of the current value (RLE zeros)
+    40 02  →  segment 0 ends; multi-segment continuation is open
+
+This decodes the first 482–510 samples of Tran for each event with zero
+errors against BW's ASCII export.  The exact segment-0 sample count
+varies per event (it's bounded by a fixed device-flash byte budget, not
+a fixed sample count — quiet events fit more samples because zero
+deltas pack into ``00 NN`` markers compactly).
+
+Implementation: :func:`decode_tran_initial`.
+
+────────────────────────────────────────────────────────────────────────────
+Segment header (40 02, 20 bytes total)
+────────────────────────────────────────────────────────────────────────────
+
+The 18-byte payload of the ``40 02`` block:
+
+| Offset    | Field                                       | Status      |
+|-----------|---------------------------------------------|-------------|
+| [0:2]     | T_delta at first sample of new segment      | ✅ confirmed|
+|           | (int16 BE, in 16-count units)               |             |
+| [2:4]     | Likely T_delta at sample seg_start+1        | 🟡 likely   |
+| [4:6]     | Unknown (varies; possibly checksum)         | ❓ open     |
+| [6:8]     | Byte length to next segment header − 2      | ✅ confirmed|
+|           | (uint16 BE; useful for walker pre-scan)     |             |
+| [8:12]    | Monotonic uint32 LE counter                 | ✅ confirmed|
+|           | (starts ~0x47, increments by 1 per segment) |             |
+| [12:14]   | Constant ``02 00``                          | ✅ confirmed|
+| [14:18]   | Unknown 4-byte field                        | ❓ open     |
+
+────────────────────────────────────────────────────────────────────────────
+What breaks the multi-segment decoder (the main open question)
+────────────────────────────────────────────────────────────────────────────
+
+After segment 0 ends and the segment header T_delta is consumed,
+applying segment 1's blocks as Tran continuation produces values that
+diverge from truth by sample ~512.  The block structure inside segment
+1 is IDENTICAL to segment 0 (same alternating 10 NN / 00 NN pattern),
+and the delta budget matches the segment size exactly (V70 segment 1
+has 264 nibble-deltas + 244 RLE zeros = 508 = the segment's sample
+count).  But the cumulative is wrong.
+
+The strongest unverified hypothesis is that segments rotate channels:
+
+    segment 0  →  Tran samples 0..509
+    segment 1  →  Vert samples 0..507
+    segment 2  →  Long samples 0..507
+    segment 3  →  Mic  samples 0..507
+    segment 4  →  Tran samples 510..N (continuation)
+    ...
+
+This is consistent with the segment-1 block sums net-to-near-zero in
+V70 (where all 4 channels are near zero) and with the per-segment delta
+budget matching the segment size for a single channel.  It is NOT yet
+verified because the per-segment channel anchor isn't pinned down in
+the segment header — bytes [4:6] and [14:18] of the header are still
+open and probably encode V/L/M anchors.
+
+See ``docs/waveform_codec_re_status.md`` for the current working notes
+and the suggested next experiment ("segment-channel scoring analyzer").
+"""
+
+from __future__ import annotations
+
+import math
+from dataclasses import dataclass
+from typing import List, Optional, Tuple
+
+
+@dataclass
+class WaveformBlock:
+    """One tagged block parsed out of a Blastware waveform-file body."""
+    offset: int      # byte offset into body
+    tag_hi: int      # first tag byte (0x10 / 0x20 / 0x00 / 0x30 / 0x40)
+    tag_lo: int      # second tag byte (NN)
+    data: bytes      # block payload (excludes the 2-byte tag)
+    length: int      # total block length on the wire (includes the tag)
+
+    @property
+    def kind(self) -> str:
+        return f"{self.tag_hi:02x} {self.tag_lo:02x}"
+
+
+def find_data_start(body: bytes) -> int:
+    """Auto-detect the offset of the first data block.
+
+    The body starts with a 7-byte preamble (magic ``00 02 00`` + two int16 BE
+    Tran anchors).  After that, the data section starts with a tag — usually
+    ``10 NN`` or ``20 NN``, but quiet events may begin with a ``00 NN`` RLE
+    marker.  We return the offset of the first recognized tag.
+    """
+    # Try fixed offset 7 first (canonical preamble length).
+    if len(body) >= 9:
+        b, nn = body[7], body[8]
+        if (b in (0x00, 0x10, 0x20, 0x30) and nn % 4 == 0 and 0 < nn <= 0xFC) \
+                or (b == 0x40 and nn == 0x02):
+            return 7
+    # Fall back to scanning the first 20 bytes.
+    for i in range(min(20, len(body) - 1)):
+        b = body[i]
+        nn = body[i + 1]
+        if b in (0x10, 0x20) and nn % 4 == 0 and 0 < nn <= 0xFC:
+            return i
+    return -1
+
+
+def walk_body(body: bytes, start: Optional[int] = None) -> List[WaveformBlock]:
+    """Walk the tagged-block sequence starting at *start* (auto-detected by default).
+
+    Stops when an unrecognized tag is encountered or end of body is reached.
+    Returned blocks are in stream order.
+    """
+    if start is None:
+        start = find_data_start(body)
+        if start < 0:
+            return []
+
+    blocks: List[WaveformBlock] = []
+    i = start
+    while i + 1 < len(body):
+        t0 = body[i]
+        t1 = body[i + 1]
+        if t0 == 0x10 and t1 % 4 == 0 and 0 < t1 <= 0xFC:
+            length = t1 // 2 + 2
+        elif (t0 & 0xF0) == 0x10 and (t0 & 0x0F) != 0 and t1 % 4 == 0:
+            # Wide-NN nibble block: ``1X NN`` where X is the high nibble of a
+            # 12-bit NN value.  NN = ((t0 & 0x0F) << 8) | t1.  Block length
+            # = NN/2 + 2 bytes (NN nibble deltas, same as ``10 NN`` semantics
+            # but with NN > 0xFC).  Confirmed 2026-05-11 in SP0 segment 12
+            # where V continuation uses ``11 90`` = NN=0x190=400.
+            wide_nn = ((t0 & 0x0F) << 8) | t1
+            length = wide_nn // 2 + 2
+        elif t0 == 0x20 and t1 % 4 == 0 and 0 < t1 <= 0xFC:
+            length = t1 + 2
+        elif (t0 & 0xF0) == 0x20 and (t0 & 0x0F) != 0 and t1 % 4 == 0:
+            # Wide-NN int8 block: ``2X NN`` extends NN to 12 bits the same way.
+            wide_nn = ((t0 & 0x0F) << 8) | t1
+            length = wide_nn + 2
+        elif t0 == 0x00 and t1 % 4 == 0:
+            length = 2
+        elif t0 == 0x30 and t1 % 4 == 0 and 0 < t1 <= 0x10:
+            # Data-section ``30 NN`` blocks carry NN 12-bit signed deltas packed
+            # as NN/4 groups of (2-byte high-nibble field + 4 × int8 low byte).
+            # Length = NN/4 × 6 + 2 = NN × 1.5 + 2 (= 8 for NN=4, 14 for NN=8,
+            # 20 for NN=12, etc.).  Confirmed 2026-05-11 by full-decoder
+            # verification against BW ASCII export.
+            #
+            # Trailer-section ``30 NN`` blocks have a different length formula
+            # (NN × 4 = 32 for NN=8 in trailers).  We try the data-section
+            # length first and fall back to the trailer length if needed.
+            cand_data = t1 * 3 // 2 + 2
+            cand_trailer = t1 * 4
+            if (i + cand_data < len(body) - 1
+                    and body[i + cand_data] in (0x10, 0x20, 0x00, 0x30, 0x40)):
+                length = cand_data
+            else:
+                length = cand_trailer
+        elif t0 == 0x40 and t1 == 0x02:
+            length = 20
+        else:
+            # Unknown tag; stop.  Caller can inspect ``i`` to see where.
+            break
+
+        if i + length > len(body):
+            break
+
+        data = bytes(body[i + 2 : i + length])
+        blocks.append(WaveformBlock(offset=i, tag_hi=t0, tag_lo=t1, data=data, length=length))
+        i += length
+
+    return blocks
+
+
+def split_segments(blocks: List[WaveformBlock]) -> List[List[WaveformBlock]]:
+    """Group consecutive blocks into segments separated by ``40 02`` headers.
+
+    The first segment is whatever runs before the first ``40 02`` header
+    (typically the "segment 0" preamble data after the body preamble).
+    Subsequent segments start with a ``40 02`` block, then have their
+    own data blocks until the next ``40 02``.
+    """
+    segments: List[List[WaveformBlock]] = []
+    current: List[WaveformBlock] = []
+    for b in blocks:
+        if b.tag_hi == 0x40 and b.tag_lo == 0x02:
+            if current:
+                segments.append(current)
+            current = [b]
+        else:
+            current.append(b)
+    if current:
+        segments.append(current)
+    return segments
+
+
+def parse_segment_header(block: WaveformBlock) -> Optional[dict]:
+    """Decode the 18-byte payload of a ``40 02`` segment header.
+
+    Returns a dict with the labelled fields, or None if *block* is not
+    a ``40 02`` header.
+    """
+    if not (block.tag_hi == 0x40 and block.tag_lo == 0x02):
+        return None
+    if len(block.data) < 18:
+        return None
+    p = block.data
+    counter = int.from_bytes(p[8:12], "little", signed=False)
+    return {
+        "anchor_bytes": p[0:4],          # 4-byte field, role unconfirmed
+        "field2": p[4:8],                # 4-byte field, role unconfirmed
+        "counter": counter,              # uint32 LE — increments by 1 per segment
+        "fixed_pattern": p[12:16],       # always b"\x02\x00\x00\x01"
+        "tail": p[16:18],                # last 2 bytes
+    }
+
+
+def _s4(n: int) -> int:
+    """Sign-extend a 4-bit value to signed int (0..7 → 0..7; 8..F → -8..-1)."""
+    return n if n < 8 else n - 16
+
+
+def _i8(b: int) -> int:
+    """Reinterpret an unsigned byte as signed int8."""
+    return b if b < 128 else b - 256
+
+
+def decode_tran_initial(body: bytes) -> Optional[List[int]]:
+    """
+    Decode the initial Tran-channel samples — VERIFIED 2026-05-11.
+
+    Returns Tran samples in **16-count units** (LSB = 0.005 in/s at Normal
+    range — the same quantization BW uses for its ASCII export).  Returns
+    ``None`` if the body cannot be parsed.
+
+    The decoded list extends from sample 0 through the end of segment 0
+    (= just before the first ``40 02`` segment header; ~510 sample-sets
+    for the events tested).  Multi-segment decoding requires continuing
+    past the segment header — that's done by :func:`decode_tran_full`
+    when the per-segment rules are pinned down for all signal types.
+
+    Codec for segment 0 (CONFIRMED 2026-05-11 against 7 fixture events):
+
+    - Body bytes [0:3] are the magic ``00 02 00``.
+    - Body bytes [3:5] = ``Tran[0]`` as int16 BE in 16-count units.
+    - Body bytes [5:7] = ``Tran[1]`` as int16 BE in 16-count units.
+    - Data blocks (``10 NN`` or ``20 NN``) carry Tran deltas starting
+      at sample 2:
+
+      * ``10 NN``: NN nibbles = NN/2 bytes; each nibble is a 4-bit
+        signed delta (0..7 → 0..+7; 8..F → -8..-1).  High nibble of
+        each byte comes first.
+      * ``20 NN``: NN int8 signed deltas (one delta per byte).
+
+    - ``00 NN`` blocks are run-length-encoded zero deltas: append NN
+      copies of the current cumulative Tran value (no change).
+
+    - ``30 NN`` blocks have not yet been decoded for content — they
+      appear in segment 0 of loud-from-start events (SS0, SV0) and
+      seem to signal a transition or special-case interpretation.
+      The walker steps over them but their data is ignored.
+
+    The walk stops at the first ``40 02`` segment header.
+    """
+    if len(body) < 7 or body[0:3] != b"\x00\x02\x00":
+        return None
+    t0 = int.from_bytes(body[3:5], "big", signed=True)
+    t1 = int.from_bytes(body[5:7], "big", signed=True)
+
+    start = find_data_start(body)
+    if start < 0:
+        return [t0, t1]
+
+    out = [t0, t1]
+    cur = t1
+    for blk in walk_body(body, start):
+        if blk.tag_hi == 0x40:
+            # Segment boundary — stop.  Multi-segment decode is decode_tran_full.
+            break
+        if blk.tag_hi == 0x10:
+            for byte in blk.data:
+                for nib in ((byte >> 4) & 0xF, byte & 0xF):
+                    cur += _s4(nib)
+                    out.append(cur)
+        elif blk.tag_hi == 0x20:
+            for byte in blk.data:
+                cur += _i8(byte)
+                out.append(cur)
+        elif blk.tag_hi == 0x00:
+            # RLE zero deltas: append NN copies of current Tran value.
+            for _ in range(blk.tag_lo):
+                out.append(cur)
+        # 30 NN: unknown content; skip.
+    return out
+
+
+def decode_waveform_v2(body: bytes) -> Optional[dict]:
+    """
+    Decode the body into per-channel sample arrays.
+
+    Status (2026-05-11 evening — channel-rotation hypothesis CONFIRMED):
+    segments rotate channels in fixed order **Tran → Vert → Long → MicL**.
+    Each channel-segment carries a 2-sample anchor pair in segment-header
+    bytes [14:18] (or in the body preamble for the initial Tran segment)
+    plus a stream of delta blocks for samples 2 onward.
+
+    Returns ``{"Tran": [...], "Vert": [...], "Long": [...], "MicL": [...]}``
+    with each channel's decoded samples in 16-count units (LSB = 0.005
+    in/s at Normal range).  Returns ``None`` if the body cannot be
+    parsed.
+    """
+    if len(body) < 7 or body[0:3] != b"\x00\x02\x00":
+        return None
+
+    channels = ["Tran", "Vert", "Long", "MicL"]
+    out: dict = {ch: [] for ch in channels}
+
+    # Initial Tran segment: preamble anchor pair + delta blocks before first 40 02.
+    t0 = int.from_bytes(body[3:5], "big", signed=True)
+    t1 = int.from_bytes(body[5:7], "big", signed=True)
+    out["Tran"].extend([t0, t1])
+
+    start = find_data_start(body)
+    if start < 0:
+        return out
+
+    blocks = walk_body(body, start)
+    seg_idx = [i for i, b in enumerate(blocks) if b.tag_hi == 0x40]
+
+    def apply_blocks(channel: str, anchor: int,
+                     block_start: int, block_end: int) -> int:
+        """Apply delta blocks [block_start, block_end) to *channel*'s sample
+        list, starting from *anchor*.  Returns the final cumulative value."""
+        cur = anchor
+        for bi in range(block_start, block_end):
+            blk = blocks[bi]
+            if (blk.tag_hi & 0xF0) == 0x10:
+                # Both ``10 NN`` (NN ≤ 0xFC) and wide-NN ``1X NN`` (X != 0)
+                # are nibble-delta streams.  The walker has already used the
+                # right length; here we just iterate the payload bytes.
+                for byte in blk.data:
+                    for nib in ((byte >> 4) & 0xF, byte & 0xF):
+                        cur += _s4(nib)
+                        out[channel].append(cur)
+            elif (blk.tag_hi & 0xF0) == 0x20:
+                # ``20 NN`` and wide ``2X NN`` both carry int8 deltas.
+                for byte in blk.data:
+                    cur += _i8(byte)
+                    out[channel].append(cur)
+            elif blk.tag_hi == 0x00:
+                for _ in range(blk.tag_lo):
+                    out[channel].append(cur)
+            elif blk.tag_hi == 0x30:
+                # 12-bit signed deltas, packed as NN/4 groups of 6 bytes each:
+                #   bytes [0:2] = 16 bits = 4 × 4-bit high nibbles (MSB first)
+                #   bytes [2:6] = 4 × int8 low bytes
+                # Each delta = sign_extend_12((high_nibble << 8) | low_byte).
+                # Confirmed 2026-05-11 against all 14 ``30 NN`` blocks in the
+                # bundled fixtures.
+                n_groups = blk.tag_lo // 4
+                for g in range(n_groups):
+                    grp = blk.data[g * 6 : (g + 1) * 6]
+                    if len(grp) < 6:
+                        break
+                    high_word = (grp[0] << 8) | grp[1]
+                    for k in range(4):
+                        nib = (high_word >> (12 - 4 * k)) & 0xF
+                        v = (nib << 8) | grp[2 + k]
+                        if v >= 0x800:
+                            v -= 0x1000
+                        cur += v
+                        out[channel].append(cur)
+            # 40 02: should not occur in segment data.
+        return cur
+
+    # Initial Tran segment: deltas from start of body up to first 40 02 (or end).
+    first_seg = seg_idx[0] if seg_idx else len(blocks)
+    last_tran_value = apply_blocks("Tran", t1, 0, first_seg)
+
+    # Subsequent segments rotate channels.  Each segment header carries:
+    #   bytes [0:2] and [2:4] = 2 deltas extending the PREVIOUS channel
+    #   bytes [14:16] and [16:18] = anchor pair for THIS segment's channel
+    #
+    # Rotation: V, L, M, T, V, L, M, T, ...  (initial Tran segment is the
+    # implicit T in the cycle.)
+    rotation = ["Vert", "Long", "MicL", "Tran"]
+    # Track each channel's "running cumulative value" so we can apply the
+    # previous-channel extension deltas at every segment boundary.
+    last_value = {"Tran": last_tran_value, "Vert": None, "Long": None, "MicL": None}
+
+    for k, hi in enumerate(seg_idx):
+        channel = rotation[k % 4]
+        prev_channel = "Tran" if k == 0 else rotation[(k - 1) % 4]
+        header = blocks[hi]
+        if len(header.data) < 18:
+            continue
+        # Validate: real segment headers have bytes [12:14] = `02 00`.
+        # Trailer/footer "40 02" markers contain ASCII serial bytes or other
+        # non-header data there and would otherwise be mis-interpreted as
+        # segment headers, adding spurious samples at the tail.
+        if header.data[12:14] != b"\x02\x00":
+            break
+        # Extend the PREVIOUS channel by 2 more samples (deltas in bytes [0:4]).
+        prev_d0 = int.from_bytes(header.data[0:2], "big", signed=True)
+        prev_d1 = int.from_bytes(header.data[2:4], "big", signed=True)
+        if last_value[prev_channel] is not None:
+            v = last_value[prev_channel] + prev_d0
+            out[prev_channel].append(v)
+            v += prev_d1
+            out[prev_channel].append(v)
+            last_value[prev_channel] = v
+        # Anchor pair for THIS segment's channel.
+        c0 = int.from_bytes(header.data[14:16], "big", signed=True)
+        c1 = int.from_bytes(header.data[16:18], "big", signed=True)
+        out[channel].extend([c0, c1])
+        # Apply delta blocks for this segment.
+        next_hi = seg_idx[k + 1] if k + 1 < len(seg_idx) else len(blocks)
+        last_value[channel] = apply_blocks(channel, c1, hi + 1, next_hi)
+
+    return out
+
+
+# ── ADC-scale conversion helpers ────────────────────────────────────────────
+
+
+# Scaling factor: decode_waveform_v2 produces geo-channel samples in the BW
+# display quantization (16-count units, LSB = 0.005 in/s at Normal range).
+# The legacy consumer pipeline (sfm/event_hdf5.py) expects raw_samples in
+# 1-count ADC units (× full_scale / 32768 → physical).  To plug the new
+# decoder in without rewriting consumers, multiply geo values by 16.
+#
+# Mic samples are already in raw ADC counts (decoded value 1 = 1 mic ADC count
+# = -81.94 dB on the BW display).  Mic values pass through unchanged.
+_GEO_DECODER_TO_ADC = 16
+
+
+def decoded_to_adc_counts(decoded: dict) -> dict:
+    """Convert :func:`decode_waveform_v2` output to int16 ADC counts.
+
+    Geo channels are scaled by ×16 (decoder produces 16-count units,
+    consumer expects 1-count ADC).  Mic is passed through as raw counts.
+    """
+    if not decoded:
+        return {}
+    return {
+        "Tran": [v * _GEO_DECODER_TO_ADC for v in decoded.get("Tran", [])],
+        "Vert": [v * _GEO_DECODER_TO_ADC for v in decoded.get("Vert", [])],
+        "Long": [v * _GEO_DECODER_TO_ADC for v in decoded.get("Long", [])],
+        "MicL": list(decoded.get("MicL", [])),
+    }
+
+
+def mic_count_to_db(count: int) -> float:
+    """Convert a MicL ADC count to dB(L) for BW-display-compatible output.
+
+    Empirical formula (confirmed 2026-05-11 against V70 fixture: count=813
+    → 140.1 dB; count=±1 → ±81.94 dB; count=±24 → ±109.5 dB):
+
+        dB = sign(count) × (81.94 + 20 × log10(|count|))    for |count| ≥ 1
+        dB = 0.0                                            for count == 0
+
+    The constant 81.94 corresponds to 10^(81.94/20) ≈ 12490 mic ADC counts
+    being the dB(L) reference level — almost certainly a calibration
+    constant from the device's mic.
+    """
+    if count == 0:
+        return 0.0
+    sign = 1.0 if count > 0 else -1.0
+    return sign * (81.94 + 20.0 * math.log10(abs(count)))
+
+
+# ── A5-frame entry point ────────────────────────────────────────────────────
+
+
+def decode_a5_frames(a5_frames) -> Optional[dict]:
+    """Decode a list of A5 (BULK_WAVEFORM_STREAM) frames into per-channel
+    int16 ADC samples.
+
+    Returns ``{"Tran": [...], "Vert": [...], "Long": [...], "MicL": [...]}``
+    with each channel's samples in **1-count ADC units** (the legacy
+    ``event.raw_samples`` convention — multiply by ``full_scale / 32768``
+    to convert to physical units; for mic, use :func:`mic_count_to_db` or
+    a per-count psi factor).
+
+    Returns ``None`` if the frames cannot be parsed.
+
+    This is the wired-up production entry point.  It:
+      1. Reconstructs the BW-binary body bytes from the A5 frames
+         (``blastware_file.extract_body_bytes``).
+      2. Runs the verified codec (``decode_waveform_v2``) on the body.
+      3. Converts to int16 ADC counts via :func:`decoded_to_adc_counts`.
+    """
+    # Local import to avoid a cycle: blastware_file imports models and
+    # ultimately client.py imports waveform_codec.
+    from .blastware_file import extract_body_bytes
+
+    if not a5_frames:
+        return None
+    _strt, body, _footer = extract_body_bytes(a5_frames)
+    if not body:
+        return None
+    decoded = decode_waveform_v2(body)
+    if decoded is None:
+        return None
+    return decoded_to_adc_counts(decoded)

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "seismo-relay"
-version = "0.15.0"
+version = "0.21.1"
 description = "Python client and REST server for MiniMate Plus seismographs"
 requires-python = ">=3.10"
 dependencies = [
@@ -15,9 +15,10 @@ dependencies = [
     "python-multipart>=0.0.7",
     "h5py>=3.10",
     "numpy>=1.24",
+    "matplotlib>=3.8",
 ]
 
 [tool.setuptools.packages.find]
-# Auto-discovers minimateplus/, sfm/, bridges/ as packages
+# Auto-discovers minimateplus/, micromate/, sfm/, bridges/ as packages
 where = ["."]
-include = ["minimateplus*", "sfm*", "bridges*"]
+include = ["minimateplus*", "micromate*", "sfm*", "bridges*"]

requirements.txt

@@ -5,3 +5,4 @@ pyserial
 python-multipart
 h5py
 numpy
+matplotlib

scratch/next_experiment_skeleton.py

@@ -0,0 +1,360 @@
+"""
+scratch/next_experiment_skeleton.py — segment-channel scoring analyzer.
+
+This is the suggested NEXT EXPERIMENT for cracking the waveform body codec.
+The goal is to figure out what segments 1+ contain, since segment 0 = Tran
+is solved but multi-segment continuation diverges from truth at sample ~512.
+
+────────────────────────────────────────────────────────────────────────────
+The hypothesis to test
+────────────────────────────────────────────────────────────────────────────
+
+Segments rotate through channels:
+
+    segment 0  →  Tran samples 0..509
+    segment 1  →  Vert samples 0..507
+    segment 2  →  Long samples 0..507
+    segment 3  →  Mic  samples 0..507
+    segment 4  →  Tran samples 510..N (continuation)
+    ...
+
+This would explain why segment 0 works perfectly (it's pure Tran) and why
+applying segment 1's blocks as Tran continuation gives wrong values
+(it's actually Vert).
+
+────────────────────────────────────────────────────────────────────────────
+What the analyzer should do
+────────────────────────────────────────────────────────────────────────────
+
+For each segment in each fixture event:
+
+1. Run the segment-0 block-walker + RLE decode (the same algorithm that
+   ``decode_tran_initial`` uses) over the segment's blocks.  Start from
+   some anchor value and produce a cumulative trajectory of length =
+   number-of-deltas-in-segment.
+
+2. For each candidate channel C ∈ {Tran, Vert, Long, MicL}:
+   For each candidate anchor location in the segment-header payload
+   (try [0:2], [2:4], [4:6], [14:16], [16:18] as int16 BE):
+       Compare the decoded trajectory against truth[C] starting from
+       the segment's first sample index.
+       Score = number of matches (or sum of squared errors).
+
+3. Report the best (channel, anchor-location) combination per segment.
+
+If the rotation hypothesis is correct, you'll see:
+    segment 0  →  best score for (Tran, preamble bytes [3:5])    ✓ already known
+    segment 1  →  best score for (Vert, <some-header-byte>)
+    segment 2  →  best score for (Long, <some-header-byte>)
+    segment 3  →  best score for (MicL, <some-header-byte>)
+    segment 4  →  best score for (Tran, continuing from segment 0's end)
+
+If the rotation hypothesis is NOT correct, the scorer will at least narrow
+down what segment 1 actually carries.  Maybe channels interleave at finer
+granularity, or maybe segments alternate by something other than channel.
+
+────────────────────────────────────────────────────────────────────────────
+Why this is a scoring analyzer, not a hand-written decoder
+────────────────────────────────────────────────────────────────────────────
+
+Direct hand-coding ("assume segment 1 is Vert with anchor at byte X") gets
+stuck when the assumption is wrong because the failure mode is silent —
+you get plausible-looking-but-wrong samples and have to manually diff
+against truth to debug.
+
+The scorer is brute-force but cheap: every fixture event × every segment ×
+4 channels × 5 anchor-byte candidates is only ~hundreds of comparisons.
+The winning combination jumps out by score.
+
+────────────────────────────────────────────────────────────────────────────
+Skeleton
+────────────────────────────────────────────────────────────────────────────
+"""
+from __future__ import annotations
+
+import os
+import re
+import sys
+from dataclasses import dataclass
+from typing import List, Optional, Tuple
+
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
+
+from minimateplus.waveform_codec import walk_body, find_data_start, WaveformBlock
+
+
+# ── Reusable pieces ──────────────────────────────────────────────────────────
+
+
+CHANNELS = ("Tran", "Vert", "Long", "MicL")
+LSB_INV = 200  # 1 in/s / 0.005 in/s/LSB; multiply BW-export floats by this
+               # to get 16-count units (the body's native quantization).
+
+
+@dataclass
+class FixtureEvent:
+    name: str           # e.g. "M529LL1A.SP0"
+    bin_path: str
+    txt_path: str
+    body: bytes
+    truth: dict         # {channel: list of int16-quantized samples}
+    blocks: List[WaveformBlock]
+    segment_starts: List[int]  # block indices of each 40 02 segment header
+    segment_sample_starts: List[int]  # for each segment, the truth sample index it starts at
+
+
+def s4(n: int) -> int:
+    """4-bit signed nibble decode."""
+    return n if n < 8 else n - 16
+
+
+def i8(b: int) -> int:
+    """int8 reinterpret of unsigned byte."""
+    return b if b < 128 else b - 256
+
+
+def load_fixture(name: str) -> FixtureEvent:
+    """Load a fixture event with its truth values and parsed block stream."""
+    # Find the fixture (search both subdirs of tests/fixtures/).
+    base = os.path.join(os.path.dirname(__file__), "..", "tests", "fixtures")
+    candidates = [
+        os.path.join(base, "5-11-26", name),
+        os.path.join(base, "decode-re-5-8-26", "event-a", name),  # not used directly
+    ]
+    bin_path = next((c for c in candidates if os.path.exists(c)), None)
+    if bin_path is None:
+        # Try a glob walk for the 5-8 fixtures (they're in subdirs).
+        for root, _, files in os.walk(base):
+            if name in files:
+                bin_path = os.path.join(root, name)
+                break
+    if bin_path is None:
+        raise FileNotFoundError(name)
+
+    txt_path = bin_path + ".TXT"
+    with open(bin_path, "rb") as f:
+        raw = f.read()
+    body = raw[43:-26]
+    truth = _parse_txt(txt_path)
+    blocks = walk_body(body, find_data_start(body))
+
+    seg_idx = [i for i, b in enumerate(blocks) if b.tag_hi == 0x40]
+    # Segment 0 starts at sample 0; subsequent segments start at the
+    # cumulative sample count from previous segment(s).  Tran's segment 0
+    # is N samples; if rotation hypothesis is correct, segment 1's data
+    # starts at sample 0 for a *different* channel.  The analyzer should
+    # try both "continues from previous segment" and "starts at sample 0
+    # of a different channel."
+    seg_sample_starts = _compute_segment_sample_starts(blocks, seg_idx)
+
+    return FixtureEvent(
+        name=name, bin_path=bin_path, txt_path=txt_path,
+        body=body, truth=truth, blocks=blocks,
+        segment_starts=seg_idx, segment_sample_starts=seg_sample_starts,
+    )
+
+
+def _parse_txt(path: str) -> dict:
+    """Parse BW ASCII TXT export into {channel: [int_samples_in_16_count_units]}."""
+    with open(path, "r", encoding="utf-8", errors="replace") as f:
+        lines = f.read().splitlines()
+    header_idx = next(
+        (i for i, l in enumerate(lines)
+         if all(c in l for c in CHANNELS)),
+        None,
+    )
+    if header_idx is None:
+        return {ch: [] for ch in CHANNELS}
+    out = {ch: [] for ch in CHANNELS}
+    for line in lines[header_idx + 1:]:
+        parts = re.split(r"\s+", line.strip())
+        if len(parts) < 4:
+            continue
+        try:
+            vals = [float(p) for p in parts[:4]]
+        except ValueError:
+            continue
+        for ch, v in zip(CHANNELS, vals):
+            # Multiply by LSB_INV; geo channels are in in/s, MicL is in dB(L)
+            # (which doesn't quantize the same way — leaving raw for MicL is fine,
+            # the scorer should treat MicL specially).
+            out[ch].append(round(v * LSB_INV) if ch != "MicL" else v)
+    return out
+
+
+def _compute_segment_sample_starts(
+    blocks: List[WaveformBlock], seg_idx: List[int]
+) -> List[int]:
+    """Cumulative sample-count up to each segment header (if all blocks treated
+    as Tran continuation).  Useful as one candidate for segment-1-Tran tests.
+
+    The scorer should ALSO try "segment 1 starts at sample 0 of a new channel"
+    as the rotation hypothesis predicts.
+    """
+    starts = []
+    cum = 2  # T[0] + T[1] from preamble
+    for i, b in enumerate(blocks):
+        if i in seg_idx:
+            starts.append(cum)
+        if b.tag_hi == 0x10:
+            cum += b.tag_lo
+        elif b.tag_hi == 0x20:
+            cum += b.tag_lo
+        elif b.tag_hi == 0x00:
+            cum += b.tag_lo
+        # 30 NN and 40 02 don't contribute samples (for this hypothesis)
+    return starts
+
+
+# ── The core algorithm: decode a segment's blocks as deltas ─────────────────
+
+
+def decode_segment_as_channel(
+    blocks: List[WaveformBlock],
+    seg_start_block_idx: int,
+    seg_end_block_idx: int,
+    anchor: int,
+) -> List[int]:
+    """Apply the segment-0 codec rules to a range of blocks, starting from *anchor*.
+
+    Returns a list of cumulative sample values (one per delta).  Does NOT include
+    the anchor itself in the output — the first returned value is anchor + first_delta.
+    """
+    out = []
+    cur = anchor
+    for bi in range(seg_start_block_idx, seg_end_block_idx):
+        blk = blocks[bi]
+        if blk.tag_hi == 0x10:
+            for byte in blk.data:
+                for nib in ((byte >> 4) & 0xF, byte & 0xF):
+                    cur += s4(nib)
+                    out.append(cur)
+        elif blk.tag_hi == 0x20:
+            for byte in blk.data:
+                cur += i8(byte)
+                out.append(cur)
+        elif blk.tag_hi == 0x00:
+            for _ in range(blk.tag_lo):
+                out.append(cur)
+        # 30 NN: skip (content unknown)
+        # 40 02: shouldn't appear in segment data (it's the segment header)
+    return out
+
+
+def score_against_truth(
+    decoded: List[int],
+    truth: List[int],
+    truth_start: int,
+) -> Tuple[int, int]:
+    """Compare *decoded* to truth[truth_start : truth_start + len(decoded)].
+
+    Returns (n_matches, n_compared).
+    """
+    n = min(len(decoded), len(truth) - truth_start)
+    if n <= 0:
+        return (0, 0)
+    matches = sum(1 for i in range(n) if decoded[i] == truth[truth_start + i])
+    return (matches, n)
+
+
+# ── TODO for the next pass ──────────────────────────────────────────────────
+
+
+def score_segment_against_all_channels(
+    event: FixtureEvent,
+    segment_index: int,
+) -> List[Tuple[str, int, int, int]]:
+    """For segment *segment_index* of *event*, find the best (channel, start_sample)
+    fit.
+
+    For each candidate channel C and each candidate starting truth-sample index s,
+    we pick the anchor that makes the FIRST decoded value match truth[C][s], then
+    score the remaining decoded values against truth[C][s+1 : s+N].
+
+    Returns rows of (channel_name, start_sample, n_matches, n_compared)
+    sorted by match-count descending.
+    """
+    # Block range of this segment: from the segment header (inclusive) up to
+    # the next segment header (exclusive), or end-of-blocks.
+    seg_header_idx = event.segment_starts[segment_index]
+    next_header_idx = (
+        event.segment_starts[segment_index + 1]
+        if segment_index + 1 < len(event.segment_starts)
+        else len(event.blocks)
+    )
+
+    # Decode the segment's data blocks (skip the segment-header block itself).
+    # Use anchor=0 — we'll re-anchor when scoring against each channel.
+    deltas_trajectory = decode_segment_as_channel(
+        event.blocks, seg_header_idx + 1, next_header_idx, anchor=0
+    )
+    if not deltas_trajectory:
+        return []
+
+    n = len(deltas_trajectory)
+    results = []
+
+    for ch in ("Tran", "Vert", "Long"):
+        truth = event.truth.get(ch)
+        if not truth or len(truth) < n + 1:
+            continue
+        # For each candidate starting sample s in truth, check if applying
+        # the deltas starting from truth[s] reproduces truth[s+1:s+n+1].
+        best = (0, -1)
+        for s in range(len(truth) - n):
+            anchor = truth[s]
+            offset = anchor - deltas_trajectory[0] + truth[s + 1] - anchor
+            # Recompute: trajectory[i] = anchor + cumulative_delta_through_i
+            # but we already have deltas_trajectory computed from anchor=0,
+            # so trajectory_relative[i] = anchor + deltas_trajectory[i].
+            matches = 0
+            for i in range(n):
+                if truth[s + i + 1] == anchor + deltas_trajectory[i]:
+                    matches += 1
+                # Note: we could break early on first mismatch for "matches start",
+                # but counting total matches gives a more robust score.
+            if matches > best[0]:
+                best = (matches, s)
+        results.append((ch, best[1], best[0], n))
+
+    results.sort(key=lambda r: -r[2])
+    return results
+
+
+# ── Driver ──────────────────────────────────────────────────────────────────
+
+
+def main():
+    """Run the analyzer on all loud-bundle events and print best scores."""
+    events = ["M529LL1A.SP0", "M529LL1A.SS0", "M529LL1A.SV0",
+              "M529LL1L.JQ0", "M529LL1L.V70"]
+    for name in events:
+        try:
+            event = load_fixture(name)
+        except FileNotFoundError:
+            print(f"{name}: fixture not found")
+            continue
+
+        print(f"\n=== {name} ===")
+        print(f"  body bytes: {len(event.body)}")
+        print(f"  blocks: {len(event.blocks)}")
+        print(f"  segments: {len(event.segment_starts)}")
+        print(f"  segment sample-starts (if all blocks are 1 channel):")
+        for si, sample_start in enumerate(event.segment_sample_starts):
+            print(f"    seg {si}: sample {sample_start}")
+
+        for si in range(len(event.segment_starts)):
+            results = score_segment_against_all_channels(event, si)
+            if not results:
+                print(f"  seg {si}: (no scorable data)")
+                continue
+            tag = "✓" if results[0][2] / max(results[0][3], 1) > 0.9 else " "
+            top = results[0]
+            print(f"  seg {si}: best fit {tag} = {top[0]:<5} "
+                  f"starting at sample {top[1]:>5}, {top[2]:>4}/{top[3]:<4} match"
+                  + (f"  (next: {results[1][0]} @{results[1][1]} {results[1][2]}/{results[1][3]})"
+                     if len(results) > 1 else ""))
+
+
+if __name__ == "__main__":
+    main()

scripts/backfill_record_type.py

@@ -0,0 +1,150 @@
+"""
+scripts/backfill_record_type.py — fix `record_type` on legacy event
+rows whose value was hardcoded to "Waveform" regardless of actual type.
+
+Why this is needed
+──────────────────
+Pre-v0.16.1 the BW file importer (`event_file_io.read_blastware_file`)
+hardcoded `ev.record_type = "Waveform"` for every imported event.  Fixed
+in commit aac1c8e — new ingests now derive the type from the Blastware
+filename's extension last character (H=Histogram, W=Waveform, M=Manual,
+E=Event, C=Combo) per the V10.72+ MiniMate Plus AB0T filename scheme.
+
+Effect on a server that imported events under the old code: every
+events row has `record_type = "Waveform"`, even for histograms,
+manuals, etc.  Visible in terra-view's event-detail modal under the
+"Record Type" field.  Terra-view also has a client-side workaround
+that derives the type from the filename for display purposes, so
+operators see the correct type in the UI even before this backfill.
+This script makes the DB column match what the UI is already showing,
+which matters for reporting and any downstream consumer that reads
+events.record_type directly.
+
+This script
+───────────
+Walks the `events` table and updates each row's `record_type` to the
+derived value from its `blastware_filename`.  Old S338 firmware files
+(3-char extensions ending in `0`) and any unrecognized suffix get
+left at the existing value (defaults to "Waveform").
+
+Idempotent: re-running after a successful backfill finds zero rows
+needing updates and exits cleanly (it always re-derives but only
+writes when the value would change).
+
+Usage
+─────
+  # Dry-run (default): print what would change, don't touch the DB
+  python -m scripts.backfill_record_type --db bridges/captures/seismo_relay.db
+
+  # Apply the backfill
+  python -m scripts.backfill_record_type --db bridges/captures/seismo_relay.db --apply
+"""
+
+from __future__ import annotations
+
+import argparse
+import sqlite3
+import sys
+from collections import Counter
+from pathlib import Path
+
+
+# Must stay in sync with minimateplus.event_file_io._RECORD_TYPE_BY_EXT_SUFFIX.
+_TYPE_FROM_SUFFIX = {
+    "H": "Histogram",
+    "W": "Waveform",
+    "M": "Manual",
+    "E": "Event",
+    "C": "Combo",
+}
+
+
+def derive_record_type(filename: str | None, default: str = "Waveform") -> str:
+    """Mirror of minimateplus.event_file_io.derive_record_type_from_filename.
+
+    Vendored here so this script runs without needing the seismo-relay
+    package on the Python path (useful on prod where you might be
+    running it via `docker exec` against a container's DB volume).
+    """
+    if not filename:
+        return default
+    name = Path(filename).name
+    if "." not in name:
+        return default
+    ext = name.rsplit(".", 1)[1]
+    if not ext:
+        return default
+    return _TYPE_FROM_SUFFIX.get(ext[-1].upper(), default)
+
+
+def main() -> int:
+    ap = argparse.ArgumentParser(description=__doc__)
+    ap.add_argument("--db", required=True, help="Path to seismo_relay.db")
+    ap.add_argument("--apply", action="store_true",
+                    help="Actually write changes (default is dry-run).")
+    ap.add_argument("--default", default="Waveform",
+                    help="Fallback record_type when filename doesn't encode one. "
+                         "Default: Waveform (matches the pre-fix bug's behavior).")
+    args = ap.parse_args()
+
+    db_path = Path(args.db)
+    if not db_path.exists():
+        print(f"ERROR: database not found at {db_path}", file=sys.stderr)
+        return 1
+
+    conn = sqlite3.connect(str(db_path))
+    conn.row_factory = sqlite3.Row
+    cur = conn.cursor()
+
+    cur.execute("""
+        SELECT id, blastware_filename, record_type
+        FROM events
+        WHERE blastware_filename IS NOT NULL
+          AND blastware_filename != ''
+    """)
+    rows = cur.fetchall()
+    total = len(rows)
+    print(f"Scanning {total:,} event rows…")
+    print()
+
+    # Tally proposed changes.
+    transitions: Counter[tuple[str, str]] = Counter()
+    update_ids: list[tuple[str, str]] = []
+    unrecognized = 0
+
+    for row in rows:
+        derived = derive_record_type(row["blastware_filename"], default=args.default)
+        current = row["record_type"] or ""
+        if derived == current:
+            continue
+        transitions[(current, derived)] += 1
+        update_ids.append((row["id"], derived))
+
+    if not update_ids:
+        print("Nothing to update — all rows already match.")
+        conn.close()
+        return 0
+
+    print(f"{len(update_ids):,} row(s) need updating:")
+    for (old, new), count in sorted(transitions.items(), key=lambda x: -x[1]):
+        print(f"  {count:>6,}  {old!r:14s} → {new!r}")
+    print()
+
+    if not args.apply:
+        print("(dry-run — re-run with --apply to write changes)")
+        conn.close()
+        return 0
+
+    print("Applying changes…")
+    cur.executemany(
+        "UPDATE events SET record_type = ? WHERE id = ?",
+        [(new, eid) for eid, new in update_ids],
+    )
+    conn.commit()
+    print(f"Done. Updated {cur.rowcount:,} row(s).")
+    conn.close()
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())

scripts/backfill_sidecars.py

@@ -12,8 +12,20 @@ Walks `<store_root>/<serial>/<filename>` and for each BW event file:
       parsing the BW binary directly (peaks computed from samples).
 
   Clean waveform (.h5):
-    - Skip when <filename>.h5 already exists (idempotent).
+    - Regenerated whenever the sidecar is regenerated (sha mismatch
-    - Else write from .a5.pkl (preferred) or BW binary parse (fallback).
+      OR sidecar.source.tool_version < current TOOL_VERSION OR --force).
+      The .h5 and the sidecar both come from the same decoder output,
+      so if the sidecar is stale the .h5 is too.
+    - Written when missing.
+    - --skip-hdf5 turns off all .h5 writes.
+
+Typical use after a decoder upgrade:
+    1. Pull the new seismo-relay code (which bumped TOOL_VERSION).
+    2. Run this script — every sidecar with an older tool_version
+       stamp regenerates, and the associated .h5 cascade-regenerates.
+    3. Operator review state (review.false_trigger, notes, reviewer)
+       and the sidecar's extensions block are preserved across the
+       regen.
 
 Usage:
     python scripts/backfill_sidecars.py [--store-root PATH]
@@ -42,14 +54,26 @@ log = logging.getLogger("backfill_sidecars")
 
 
 def _looks_like_event_file(path: Path) -> bool:
-    """Same heuristic as the importer CLI."""
+    """Same heuristic as the importer CLI.
+
+    Filters to BW (Series III) event files only — Thor (Series IV)
+    `.IDFW` / `.IDFH` files share the store but have their own ingest
+    path (`WaveformStore.save_imported_idf`) and are NOT decodable by
+    `event_file_io.read_blastware_file`.  Their sidecars are populated
+    at ingest from the paired `.IDFW.txt` ASCII report; nothing the
+    backfill regenerates would improve on them, so we exclude them
+    from scope.
+    """
     if not path.is_file():
         return False
-    if path.name.endswith((".a5.pkl", ".sfm.json")):
+    if path.name.endswith((".a5.pkl", ".sfm.json", ".h5")):
         return False
     ext = path.suffix.lstrip(".")
     if not (3 <= len(ext) <= 4):
         return False
+    # Thor IDF files share the .{W,H}-suffix shape but aren't BW.
+    if ext.upper() in ("IDFW", "IDFH"):
+        return False
     if not (ext[-1].upper() in {"W", "H"} or ext.endswith("0")):
         return False
     try:
@@ -79,6 +103,17 @@ def main(argv=None) -> int:
             "STRT-rectime byte-offset fix in v0.15.x)."
         ),
     )
+    p.add_argument(
+        "--reparse-txt", action="store_true",
+        help=(
+            "Re-parse the preserved <serial>/<filename>_ASCII.TXT with the "
+            "current bw_ascii_report parser and overwrite the sidecar's "
+            "bw_report block.  Use this after upgrading the ASCII parser to "
+            "pull in new fields (e.g. zc_freq_above_range for BW '>100 Hz' "
+            "ZC peaks).  No-op for events without a preserved .TXT; safely "
+            "idempotent when the parser hasn't changed."
+        ),
+    )
     p.add_argument("-v", "--verbose", action="store_true")
     args = p.parse_args(argv)
 
@@ -123,7 +158,13 @@ def main(argv=None) -> int:
             #      the sidecar was written by a build that includes any
             #      decoder fixes shipped since).
             # Either part failing → regenerate.  --force bypasses both.
-            if sidecar_path.exists() and not args.force:
+            #
+            # Tracks whether we're regenerating the sidecar this iteration
+            # so the .h5 logic below knows to refresh that too — staleness
+            # of the sidecar implies staleness of the derived .h5 (both
+            # come out of the same decoder).
+            sidecar_stale = True
+            if sidecar_path.exists() and not args.force and not args.reparse_txt:
                 try:
                     existing = event_file_io.read_sidecar(sidecar_path)
                     sha_ok = existing.get("blastware", {}).get("sha256") == bw_sha
@@ -136,6 +177,7 @@ def main(argv=None) -> int:
                     ver_ok = _vt(src_ver) >= _vt(event_file_io.TOOL_VERSION)
                     if sha_ok and ver_ok:
                         skipped += 1
+                        sidecar_stale = False
                         continue
                     if sha_ok and not ver_ok:
                         log.info(
@@ -256,19 +298,68 @@ def main(argv=None) -> int:
                             or ev.total_samples < derived // 4):
                         ev.total_samples = derived
 
-                # Preserve user-edited review state + extensions from the
+                # Preserve user-edited review state + extensions + the
-                # existing sidecar (false_trigger flag, notes, etc.) so a
+                # bw_report block from the existing sidecar so a backfill
-                # backfill never wipes them out.
+                # never wipes them out.  The bw_report block originates
-                preserved_review = None
+                # from the paired .TXT ASCII report parsed at ORIGINAL
-                preserved_ext    = None
+                # import time (ach forward / direct upload); the .TXT
+                # file is not in the waveform store, so we can't re-derive
+                # it from disk.  event_to_sidecar_dict takes a
+                # BwAsciiReport dataclass (not a dict), so for bw_report
+                # we overlay the existing block after regen instead of
+                # passing it as a kwarg.
+                preserved_review     = None
+                preserved_ext        = None
+                preserved_bw_report  = None
+                preserved_txt_fn     = None
                 if sidecar_path.exists():
                     try:
                         _existing = event_file_io.read_sidecar(sidecar_path)
-                        preserved_review = _existing.get("review")
+                        preserved_review    = _existing.get("review")
-                        preserved_ext    = _existing.get("extensions")
+                        preserved_ext       = _existing.get("extensions")
+                        preserved_bw_report = _existing.get("bw_report")
+                        # Preserve txt_filename so backfills don't blank out the
+                        # pointer to the saved raw .TXT (events ingested after
+                        # 2026-05-27 have this).
+                        preserved_txt_fn    = (_existing.get("source") or {}).get("txt_filename")
                     except Exception:
                         pass
 
+                # --reparse-txt: if a .TXT is preserved on disk, run the
+                # current parser against it and overwrite the bw_report
+                # block.  Picks up post-ingest parser fixes (e.g. the
+                # 2026-05-28 zc_freq_above_range / ">100 Hz" addition).
+                if args.reparse_txt and preserved_txt_fn:
+                    try:
+                        from minimateplus import bw_ascii_report
+                        txt_path = store.txt_path_for(serial, path.name)
+                        if txt_path.exists():
+                            refreshed = bw_ascii_report.parse_report_file(txt_path)
+                            preserved_bw_report = event_file_io._bw_report_to_dict(refreshed)
+                            log.debug("reparsed bw_report from %s", txt_path.name)
+                        else:
+                            log.debug("--reparse-txt: no .TXT at %s (sidecar says %r)",
+                                      txt_path, preserved_txt_fn)
+                    except Exception as exc:
+                        log.warning("--reparse-txt failed for %s: %s", path.name, exc)
+
+                # Overlay BW ASCII report fields onto the rebuilt Event
+                # BEFORE the sidecar + DB write.  Mirrors what the ingest
+                # path does — BW's reported peaks (and sample_rate /
+                # record_time) win over codec output where present.
+                #
+                # Without this step, --force backfill silently overwrites
+                # the bw_report-overlaid DB columns with codec-derived
+                # values, which is wrong for events the codec doesn't
+                # fully decode (e.g. waveform walker edge cases on
+                # SP0/SS0/SV0-style events, or histogram sub-formats with
+                # byte[5]!=0 that aren't yet RE'd).  Net effect was PVS=0
+                # on three top-10 events on 2026-05-22.
+                if preserved_bw_report:
+                    event_file_io.apply_bw_report_dict_to_event(
+                        ev, preserved_bw_report,
+                    )
+
                 sidecar = event_file_io.event_to_sidecar_dict(
                     ev,
                     serial=serial,
@@ -277,16 +368,44 @@ def main(argv=None) -> int:
                     blastware_sha256=bw_sha,
                     source_kind=source_kind,
                     a5_pickle_filename=a5_filename,
+                    txt_filename=preserved_txt_fn,
                     review=preserved_review,
                     extensions=preserved_ext,
                 )
+                if preserved_bw_report is not None:
+                    sidecar["bw_report"] = preserved_bw_report
 
-                # Also emit the .h5 clean-waveform file when missing OR when
+                # Also emit the .h5 clean-waveform file when:
-                # --force was passed (so a re-backfill picks up decoder fixes).
+                #   - it's missing, OR
+                #   - --force was passed, OR
+                #   - the sidecar is being regenerated this iteration
+                #     (sha mismatch / tool_version too old).  The .h5 and
+                #     the sidecar are both derived from the same decoder
+                #     output, so if the sidecar is stale, so is the .h5.
+                #
+                # Both waveform and histogram bodies now decode to real
+                # samples via event_file_io.read_blastware_file → either
+                # waveform_codec.decode_waveform_v2 or histogram_codec.
+                # decode_histogram_body.  If samples are still empty after
+                # both codecs run, it's a genuine "we can't decode this
+                # file" case (truncated, malformed, or unknown mode);
+                # skip the .h5 write so we don't replace whatever's
+                # there with an empty placeholder.
+                has_samples = bool(
+                    ev.raw_samples and any(
+                        ev.raw_samples.get(ch) for ch in ("Tran", "Vert", "Long", "MicL")
+                    )
+                )
                 hdf5_path = store.hdf5_path_for(serial, path.name)
                 hdf5_filename = hdf5_path.name if hdf5_path.exists() else None
                 hdf5_action = "kept"
-                need_h5 = not args.skip_hdf5 and (args.force or not hdf5_path.exists())
+                need_h5 = (
+                    not args.skip_hdf5
+                    and (args.force or not hdf5_path.exists() or sidecar_stale)
+                    and has_samples
+                )
+                if not has_samples and not args.skip_hdf5:
+                    hdf5_action = "skipped-undecodable"
                 if need_h5:
                     if args.dry_run:
                         hdf5_action = "would (re)write"
@@ -326,6 +445,7 @@ def main(argv=None) -> int:
                             }}
                             if ev._waveform_key else None
                         ),
+                        device_family="series3",
                     )
                 except Exception as exc:
                     log.warning("DB upsert failed for %s: %s", path.name, exc)

scripts/backfill_thor_events.py

@@ -0,0 +1,331 @@
+"""
+scripts/backfill_thor_events.py — re-process existing Thor (Series IV)
+events so their sidecars carry the bw_report block produced by
+``micromate.idf_to_bw_report.build_bw_report_from_idf`` + their .h5
+clean-waveform files for IDFW events.
+
+Why this exists
+───────────────
+
+Thor events ingested before v0.21.0 (or during the v0.21.0 ingest bug
+window fixed in commit bee1185) have sidecars with only
+``extensions.idf_report`` — no ``bw_report`` block.  Without
+``bw_report``, the SFM PDF renderer falls back to DB-only fields
+(misses sensor-self-check, full per-channel breakdown, mic dB(L)),
+and the modal chart 404s on ``/waveform.json`` for IDFW events
+because no .h5 was written when the codec failed at ingest.
+
+Re-forwarding from thor-watcher would also fix this, but that requires
+operator coordination on every watcher machine and uses bandwidth this
+script doesn't.
+
+What this does
+──────────────
+
+Walks ``<store>/<serial>/<filename>`` for ``.IDFW`` / ``.IDFH`` files
+and, for each one:
+
+  1. Reads the existing sidecar (preserving review state + captured_at).
+  2. Re-runs ``micromate.idf_file.read_idf_file()`` on the binary
+     bytes — passing ``data=`` so the codec doesn't try to read from
+     a path it doesn't know.
+  3. Pulls ``extensions.idf_report`` (the raw parsed Thor dict the
+     v0.18.0+ ingest path already stashed) and runs the v0.21.0
+     ``build_bw_report_from_idf`` adapter against it.
+  4. Writes the refreshed sidecar with the new ``bw_report``,
+     bumped ``source.tool_version``, but preserved ``review`` block
+     + the original ``captured_at`` timestamp.
+  5. Regenerates the .h5 waveform file via the existing
+     ``event_hdf5`` writer.  For IDFW that's the decoded per-sample
+     stream; for IDFH it's a 1-sample-per-interval synthesised array
+     (peak ADC count per channel) so the renderer's bar-chart code
+     has data to group on.  Mic peak psi from the binary is merged
+     onto the IdfEvent before the bridge so the h5 writer's per-count
+     mic scale factor lands on a sensible value (without this the
+     mic chart on Thor events plots dB(L)-as-pseudo-psi and shows
+     bomb-level numbers).
+
+Idempotent.  Re-running it after a parser/adapter change just
+re-writes sidecars — no DB writes, no thor-watcher coordination.
+
+Usage
+─────
+
+    python scripts/backfill_thor_events.py [--store-root PATH]
+                                           [--dry-run]
+                                           [--skip-hdf5]
+                                           [--force]
+                                           [-v]
+
+By default, refreshes any Thor event whose sidecar is missing
+``bw_report`` OR whose ``source.tool_version`` is older than the
+current ``TOOL_VERSION``.  ``--force`` refreshes every Thor event
+regardless.
+"""
+
+from __future__ import annotations
+
+import argparse
+import logging
+import sys
+from pathlib import Path
+
+# Allow running from the repo root without installation.
+sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
+
+from minimateplus import event_file_io
+from sfm.waveform_store import WaveformStore
+
+log = logging.getLogger("backfill_thor_events")
+
+
+def _is_thor_event(path: Path) -> bool:
+    if not path.is_file():
+        return False
+    if path.name.endswith((".sfm.json", ".h5", "_ASCII.TXT")):
+        return False
+    return path.suffix.upper() in (".IDFW", ".IDFH")
+
+
+def _vtuple(s: str) -> tuple:
+    try:
+        return tuple(int(p) for p in str(s).split(".")[:3])
+    except Exception:
+        return (0, 0, 0)
+
+
+def main(argv=None) -> int:
+    p = argparse.ArgumentParser(description=__doc__)
+    p.add_argument(
+        "--db-path",
+        default=str(Path(__file__).resolve().parent.parent / "bridges" / "captures" / "seismo_relay.db"),
+        help="Used only to derive the default --store-root.",
+    )
+    p.add_argument("--store-root", default=None)
+    p.add_argument("--dry-run", action="store_true")
+    p.add_argument("--skip-hdf5", action="store_true",
+                   help="Don't regenerate .h5 files for IDFW events.")
+    p.add_argument("--force", action="store_true",
+                   help="Refresh every Thor event, not just ones with stale or missing bw_report.")
+    p.add_argument("-v", "--verbose", action="store_true")
+    args = p.parse_args(argv)
+
+    logging.basicConfig(
+        level=logging.DEBUG if args.verbose else logging.INFO,
+        format="%(asctime)s  %(levelname)-7s  %(name)s  %(message)s",
+        datefmt="%H:%M:%S",
+    )
+
+    db_path = Path(args.db_path).expanduser().resolve()
+    store_root = (
+        Path(args.store_root).expanduser().resolve()
+        if args.store_root else db_path.parent / "waveforms"
+    )
+    if not store_root.exists():
+        log.error("store root not found: %s", store_root)
+        return 1
+    store = WaveformStore(store_root)
+    log.info("store root: %s", store_root)
+    log.info("current TOOL_VERSION: %s", event_file_io.TOOL_VERSION)
+
+    refreshed = skipped = errors = h5_written = 0
+
+    # Lazy imports so any one of these failing produces a useful error
+    # message rather than crashing module-load.
+    from micromate.idf_file import read_idf_file
+    from micromate.idf_to_bw_report import build_bw_report_from_idf
+
+    for serial_dir in sorted(p for p in store_root.iterdir() if p.is_dir()):
+        serial = serial_dir.name
+        for path in sorted(serial_dir.iterdir()):
+            if not _is_thor_event(path):
+                continue
+
+            sidecar_path = store.sidecar_path_for(serial, path.name)
+            if not sidecar_path.exists():
+                log.debug("%s: no sidecar — skipping (this is a binary without ingest history)",
+                          path.name)
+                skipped += 1
+                continue
+
+            try:
+                existing = event_file_io.read_sidecar(sidecar_path)
+            except Exception as exc:
+                log.warning("%s: failed to read sidecar — %s", path.name, exc)
+                errors += 1
+                continue
+
+            has_bw_report = bool(existing.get("bw_report"))
+            existing_version = (existing.get("source") or {}).get("tool_version", "")
+            up_to_date = (
+                has_bw_report
+                and _vtuple(existing_version) >= _vtuple(event_file_io.TOOL_VERSION)
+            )
+            if up_to_date and not args.force:
+                skipped += 1
+                continue
+
+            # Re-decode the binary.  Catch + log; continue with .txt-only
+            # data if it fails (matches the live ingest path's behavior).
+            idf_samples = None
+            idf_intervals = None
+            binary_md = None
+            is_histogram = path.suffix.upper() == ".IDFH"
+            try:
+                binary_bytes = path.read_bytes()
+                res = read_idf_file(path, data=binary_bytes)
+                idf_samples = res.samples or None
+                idf_intervals = res.intervals
+                binary_md = res.binary_metadata
+                is_histogram = res.intervals is not None
+            except NotImplementedError:
+                # sig-B / Blastware-stray binary; no samples but adapter
+                # can still produce a bw_report from extensions.idf_report.
+                log.debug("%s: binary codec NotImplementedError (sig-B / BW-stray); proceeding from sidecar's idf_report only", path.name)
+            except Exception as exc:
+                log.warning("%s: binary decode failed — %s; proceeding from sidecar's idf_report only", path.name, exc)
+
+            # Run the adapter.  Pull report_dict from
+            # extensions.idf_report (the v0.18.0+ ingest preserved it).
+            report_dict = (existing.get("extensions") or {}).get("idf_report") or {}
+            if not report_dict and binary_md is None:
+                log.debug("%s: no idf_report in sidecar AND no binary metadata — nothing to project", path.name)
+                skipped += 1
+                continue
+
+            try:
+                bw_report = build_bw_report_from_idf(
+                    report_dict, binary_md=binary_md,
+                    intervals=idf_intervals, is_histogram=is_histogram,
+                )
+            except Exception as exc:
+                log.warning("%s: adapter failed — %s", path.name, exc)
+                errors += 1
+                continue
+
+            # Build the new sidecar by overlaying refreshed fields onto
+            # the existing one — preserves review, captured_at, blastware
+            # block, source.kind, etc.
+            new_sidecar = dict(existing)  # shallow copy
+            new_sidecar["bw_report"] = bw_report
+            src = dict(new_sidecar.get("source") or {})
+            src["tool_version"] = event_file_io.TOOL_VERSION
+            new_sidecar["source"] = src
+
+            # Preserve histogram intervals if the binary decoded them
+            # (improves over the original ingest if that one ran before
+            # the bee1185 codec fix).
+            if idf_intervals is not None:
+                ext = dict(new_sidecar.get("extensions") or {})
+                ext["idf_intervals"] = [
+                    {
+                        "offset":     iv.offset,
+                        "tran_peak":  iv.peak_count("Tran"),
+                        "tran_halfp": iv.tran_halfp,
+                        "tran_freq":  iv.freq_hz("Tran"),
+                        "vert_peak":  iv.peak_count("Vert"),
+                        "vert_halfp": iv.vert_halfp,
+                        "vert_freq":  iv.freq_hz("Vert"),
+                        "long_peak":  iv.peak_count("Long"),
+                        "long_halfp": iv.long_halfp,
+                        "long_freq":  iv.freq_hz("Long"),
+                        "mic_peak":   iv.peak_count("MicL"),
+                        "mic_halfp":  iv.micl_halfp,
+                        "mic_freq":   iv.freq_hz("MicL"),
+                    }
+                    for iv in idf_intervals
+                ]
+                new_sidecar["extensions"] = ext
+
+            if args.dry_run:
+                will_write_h5 = (idf_samples or idf_intervals) and not args.skip_hdf5
+                log.info("[DRY] %s/%s — would refresh sidecar (bw_report=%s, h5=%s)",
+                         serial, path.name,
+                         "wrote" if not has_bw_report else "refreshed",
+                         "would write" if will_write_h5 else "skipped")
+            else:
+                event_file_io.write_sidecar(sidecar_path, new_sidecar)
+                log.info("%s/%s — sidecar refreshed (bw_report=%s, intervals=%d)",
+                         serial, path.name,
+                         "added" if not has_bw_report else "refreshed",
+                         len(idf_intervals) if idf_intervals else 0)
+            refreshed += 1
+
+            # Regenerate .h5 by replaying the same IdfEvent → Event bridge
+            # save_imported_idf uses.  For IDFW we write the decoded per-
+            # sample arrays.  For IDFH we synthesise a 1-sample-per-interval
+            # array (peak ADC count per channel per interval) so the
+            # renderer's bar-chart code has something to group on.
+            # Pre-condition: either real samples (IDFW) or decoded intervals
+            # (IDFH).  Skip otherwise.
+            have_data = bool(idf_samples) or bool(idf_intervals)
+            if have_data and not args.skip_hdf5:
+                from sfm import event_hdf5
+                hdf5_path = store.hdf5_path_for(serial, path.name)
+                if args.dry_run:
+                    log.debug("[DRY] would write %s", hdf5_path.name)
+                else:
+                    try:
+                        from micromate import IdfEvent
+                        from minimateplus.event_file_io import file_sha256
+                        idf_event = IdfEvent.from_report(report_dict, path.name)
+
+                        # Merge the binary-derived mic peak psi (only the
+                        # binary path knows the proper psi value; the .txt
+                        # carries dB(L)).  Without this, the h5 writer's
+                        # per-count mic factor is computed against the
+                        # dB(L) value-as-pseudo-psi and the mic chart
+                        # scales wildly.
+                        if (binary_md is not None and res is not None
+                                and res.event.peaks.mic_pspl_psi is not None):
+                            idf_event.peaks.mic_pspl_psi = res.event.peaks.mic_pspl_psi
+
+                        sha256 = file_sha256(path)
+                        waveform_key = bytes.fromhex(sha256)[:16]
+                        ev = idf_event.to_minimateplus_event(waveform_key)
+
+                        if is_histogram and idf_intervals:
+                            # 1 sample per interval per channel — same
+                            # synthesis save_imported_idf uses.  The h5
+                            # writer's count×geo_fs/32768 conversion turns
+                            # each peak-ADC-count into the bar's physical
+                            # value.
+                            ev.raw_samples = {
+                                "Tran": [iv.peak_count("Tran") for iv in idf_intervals],
+                                "Vert": [iv.peak_count("Vert") for iv in idf_intervals],
+                                "Long": [iv.peak_count("Long") for iv in idf_intervals],
+                                "MicL": [iv.peak_count("MicL") for iv in idf_intervals],
+                            }
+                            ev.total_samples = ev.total_samples or len(idf_intervals)
+                        elif idf_samples:
+                            ev.raw_samples = idf_samples
+                            n_samp = max(
+                                (len(idf_samples.get(ch, []))
+                                 for ch in ("Tran", "Vert", "Long", "MicL")),
+                                default=0,
+                            )
+                            ev.total_samples = ev.total_samples or n_samp
+
+                        event_hdf5.write_event_hdf5(
+                            hdf5_path, ev,
+                            serial=serial,
+                            geo_range="normal",
+                            source_kind="idf-import",
+                            tool_version=event_file_io.TOOL_VERSION,
+                        )
+                        h5_written += 1
+                        log.debug("%s/%s — .h5 written (%s)",
+                                  serial, path.name,
+                                  f"{len(idf_intervals)} intervals" if is_histogram
+                                  else f"{sum(len(v) for v in (idf_samples or {}).values())} samples")
+                    except Exception as exc:
+                        log.warning("%s/%s — .h5 write failed: %s",
+                                    serial, path.name, exc)
+
+    log.info("Done.  refreshed=%d  skipped=%d  errors=%d  h5_written=%d",
+             refreshed, skipped, errors, h5_written)
+    return 0 if errors == 0 else 2
+
+
+if __name__ == "__main__":
+    sys.exit(main())

scripts/blind_stop.sh

@@ -0,0 +1,100 @@
+#!/usr/bin/env bash
+# Fire-and-forget Stop Monitoring loop — for wedged or constantly-triggering units.
+#
+# Hammers POST /device/stop_monitoring_blind in a tight loop.  The endpoint
+# opens TCP, dumps SESSION_RESET + a few copies of the SUB 0x97 frame, and
+# closes — without ever reading an S3 response.  Each TCP-won attempt is
+# ~50ms of wire activity instead of the multi-frame handshake the regular
+# rescue endpoint does, so windows that are too small for the full rescue
+# can still land a stop-monitoring command.
+#
+# Usage:
+#   ./blind_stop.sh <host> [tcp_port]
+#
+# Env:
+#   SFM_BASE_URL    Default: http://localhost:8200 (SFM direct).
+#                   Set to http://localhost:8001/api/sfm to route through
+#                   Terra-View's proxy.
+#   MAX_ATTEMPTS    Default: 600
+#   SLEEP_S         Default: 0  (no backoff — hammer it)
+#   MAX_TIME_S      Default: 15
+#   CONNECT_TIMEOUT Default: 5
+#   REPEAT          Frames per TCP session (default 3 — increases hit rate
+#                   if the device is busy reading its own buffer).
+#   STOP_ON_OK      Default: 1.  Set to 0 to keep hammering indefinitely
+#                   even after successful sends (every 503 means the device
+#                   is in *another* session, every 200 means our bytes got
+#                   through — but the device may not have processed them).
+
+set -u
+
+host="${1:-}"
+tcp_port="${2:-9034}"
+if [[ -z "$host" ]]; then
+  echo "usage: $0 <host> [tcp_port]" >&2
+  exit 2
+fi
+
+base="${SFM_BASE_URL:-http://localhost:8200}"
+max_attempts="${MAX_ATTEMPTS:-600}"
+sleep_s="${SLEEP_S:-0}"
+max_time_s="${MAX_TIME_S:-15}"
+connect_timeout="${CONNECT_TIMEOUT:-5}"
+repeat="${REPEAT:-3}"
+stop_on_ok="${STOP_ON_OK:-1}"
+
+url="${base}/device/stop_monitoring_blind?host=${host}&tcp_port=${tcp_port}&connect_timeout=${connect_timeout}&repeat=${repeat}"
+
+echo "blind_stop: target ${host}:${tcp_port}  connect_timeout=${connect_timeout}s  repeat=${repeat}"
+echo "blind_stop: POST ${url}"
+echo "blind_stop: up to ${max_attempts} attempts, ${sleep_s}s between, ${max_time_s}s per request"
+echo "blind_stop: stop_on_ok=${stop_on_ok}"
+echo
+
+ok_count=0
+busy_count=0
+err_count=0
+started=$(date +%s)
+
+for ((i=1; i<=max_attempts; i++)); do
+  printf "[%4d] %s  " "$i" "$(date +%H:%M:%S)"
+  http_code=$(curl -sS -o /tmp/blind_resp.$$ -w "%{http_code}" \
+    --max-time "$max_time_s" \
+    -X POST "$url" || echo "000")
+  body=$(cat /tmp/blind_resp.$$ 2>/dev/null || true)
+  rm -f /tmp/blind_resp.$$
+
+  case "$http_code" in
+    200|201)
+      ok_count=$((ok_count + 1))
+      echo "SENT  $body"
+      if [[ "$stop_on_ok" == "1" ]]; then
+        elapsed=$(( $(date +%s) - started ))
+        echo
+        echo "blind_stop: success after ${i} attempts (${elapsed}s).  ok=${ok_count} busy=${busy_count} err=${err_count}"
+        echo "blind_stop: NEXT — wait ~10s, then try the full rescue:"
+        echo "  /home/serversdown/seismo-relay/scripts/rescue_device.sh ${host} ${tcp_port}"
+        exit 0
+      fi
+      ;;
+    503)
+      busy_count=$((busy_count + 1))
+      echo "busy (503)"
+      ;;
+    000)
+      err_count=$((err_count + 1))
+      echo "curl error"
+      ;;
+    *)
+      err_count=$((err_count + 1))
+      echo "HTTP $http_code  $body" | head -c 400
+      echo
+      ;;
+  esac
+  [[ "$sleep_s" != "0" ]] && sleep "$sleep_s"
+done
+
+elapsed=$(( $(date +%s) - started ))
+echo
+echo "blind_stop: gave up after ${max_attempts} attempts (${elapsed}s).  ok=${ok_count} busy=${busy_count} err=${err_count}" >&2
+exit 1

scripts/check_bw_report_preservation.py

@@ -0,0 +1,185 @@
+"""
+scripts/check_bw_report_preservation.py — verify that running backfill_sidecars
+doesn't wipe the `bw_report` block from sidecars that already had one.
+
+Two-step workflow:
+
+  # Before running backfill — capture a baseline snapshot:
+  python scripts/check_bw_report_preservation.py snapshot \
+      --store-root /path/to/waveforms \
+      --out before.json
+
+  # Run backfill:
+  python scripts/backfill_sidecars.py --store-root /path/to/waveforms --force
+
+  # After backfill — diff against the baseline:
+  python scripts/check_bw_report_preservation.py diff \
+      --store-root /path/to/waveforms \
+      --baseline before.json
+
+The diff classifies every sidecar into one of:
+
+  PRESERVED      had bw_report before, has same hash now  ← GOOD
+  CHANGED        had bw_report before, has different hash now  ← suspicious
+                 (backfill should only ever copy the block verbatim)
+  WIPED          had bw_report before, doesn't now  ← BUG — data loss
+  STILL_MISSING  didn't have bw_report before, still doesn't  ← expected
+  NEW            didn't have bw_report before, has one now
+                 (only possible if a re-ingest happened between snapshots;
+                  shouldn't happen during backfill)
+  REMOVED        sidecar existed in baseline, file is gone now
+  ADDED          sidecar didn't exist in baseline, exists now
+
+Exit code is 0 if no WIPED or CHANGED entries are found, 1 otherwise.
+"""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+import json
+import sys
+from pathlib import Path
+from typing import Optional
+
+# Allow running from the repo root without installation.
+sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
+
+from minimateplus import event_file_io
+
+
+def _bw_report_hash(sidecar_data: dict) -> Optional[str]:
+    """Canonical-JSON hash of the bw_report block, or None if absent."""
+    br = sidecar_data.get("bw_report")
+    if not br:
+        return None
+    # sort_keys for stable hashing across dict-ordering differences
+    blob = json.dumps(br, sort_keys=True, separators=(",", ":"))
+    return hashlib.sha256(blob.encode()).hexdigest()
+
+
+def _scan_store(store_root: Path) -> dict:
+    """Walk every <serial>/<file>.sfm.json and return {relpath: hash_or_None}.
+
+    Relpath is `<serial>/<filename>` — stable across machines/snapshots.
+    """
+    out: dict[str, Optional[str]] = {}
+    for serial_dir in sorted(p for p in store_root.iterdir() if p.is_dir()):
+        for sidecar in sorted(serial_dir.glob("*.sfm.json")):
+            relpath = f"{serial_dir.name}/{sidecar.name}"
+            try:
+                data = event_file_io.read_sidecar(sidecar)
+            except Exception as exc:
+                print(f"  WARN: failed to read {relpath}: {exc}", file=sys.stderr)
+                continue
+            out[relpath] = _bw_report_hash(data)
+    return out
+
+
+def cmd_snapshot(args) -> int:
+    store_root = Path(args.store_root).expanduser().resolve()
+    if not store_root.exists():
+        print(f"error: store root does not exist: {store_root}", file=sys.stderr)
+        return 2
+    out_path = Path(args.out).expanduser().resolve()
+
+    print(f"Scanning {store_root} …")
+    snapshot = _scan_store(store_root)
+
+    with_bw    = sum(1 for v in snapshot.values() if v is not None)
+    without_bw = sum(1 for v in snapshot.values() if v is None)
+    print(f"  total sidecars:     {len(snapshot)}")
+    print(f"  with bw_report:     {with_bw}")
+    print(f"  without bw_report:  {without_bw}")
+
+    out_path.parent.mkdir(parents=True, exist_ok=True)
+    with open(out_path, "w") as f:
+        json.dump({
+            "store_root":  str(store_root),
+            "total":       len(snapshot),
+            "with_bw":     with_bw,
+            "sidecars":    snapshot,
+        }, f, indent=2, sort_keys=True)
+    print(f"Wrote baseline → {out_path}")
+    return 0
+
+
+def cmd_diff(args) -> int:
+    store_root = Path(args.store_root).expanduser().resolve()
+    if not store_root.exists():
+        print(f"error: store root does not exist: {store_root}", file=sys.stderr)
+        return 2
+    baseline_path = Path(args.baseline).expanduser().resolve()
+    if not baseline_path.exists():
+        print(f"error: baseline file not found: {baseline_path}", file=sys.stderr)
+        return 2
+
+    with open(baseline_path) as f:
+        baseline = json.load(f)
+    before = baseline["sidecars"]
+    print(f"Scanning {store_root} for comparison against {baseline_path.name} …")
+    after = _scan_store(store_root)
+
+    classes = {k: [] for k in (
+        "PRESERVED", "CHANGED", "WIPED", "STILL_MISSING", "NEW", "REMOVED", "ADDED",
+    )}
+    all_keys = set(before) | set(after)
+    for key in sorted(all_keys):
+        b = before.get(key, "__MISSING__")
+        a = after.get(key, "__MISSING__")
+        if b == "__MISSING__":
+            classes["ADDED"].append(key)
+        elif a == "__MISSING__":
+            classes["REMOVED"].append(key)
+        elif b is None and a is None:
+            classes["STILL_MISSING"].append(key)
+        elif b is None and a is not None:
+            classes["NEW"].append(key)
+        elif b is not None and a is None:
+            classes["WIPED"].append(key)
+        elif b == a:
+            classes["PRESERVED"].append(key)
+        else:
+            classes["CHANGED"].append(key)
+
+    print()
+    print(f"{'class':16s} {'count':>7s}")
+    print("-" * 24)
+    for k in ("PRESERVED", "STILL_MISSING", "CHANGED", "WIPED",
+              "NEW", "ADDED", "REMOVED"):
+        print(f"{k:16s} {len(classes[k]):>7d}")
+
+    # Show samples of the concerning classes
+    for k in ("WIPED", "CHANGED"):
+        if classes[k]:
+            print(f"\n=== {k} samples (up to 10) ===")
+            for key in classes[k][:10]:
+                print(f"  {key}")
+
+    if classes["WIPED"] or classes["CHANGED"]:
+        print("\n*** Preservation broken: WIPED or CHANGED entries present ***")
+        return 1
+    print("\nbw_report preservation looks intact.")
+    return 0
+
+
+def main(argv=None) -> int:
+    p = argparse.ArgumentParser(description=__doc__)
+    sub = p.add_subparsers(dest="cmd", required=True)
+
+    p_snap = sub.add_parser("snapshot", help="capture baseline bw_report hashes")
+    p_snap.add_argument("--store-root", required=True)
+    p_snap.add_argument("--out", required=True, help="output JSON path")
+    p_snap.set_defaults(func=cmd_snapshot)
+
+    p_diff = sub.add_parser("diff", help="diff current store against a baseline")
+    p_diff.add_argument("--store-root", required=True)
+    p_diff.add_argument("--baseline",   required=True, help="JSON from `snapshot`")
+    p_diff.set_defaults(func=cmd_diff)
+
+    args = p.parse_args(argv)
+    return args.func(args)
+
+
+if __name__ == "__main__":
+    sys.exit(main())

scripts/repair_unknown_serials.py

@@ -0,0 +1,151 @@
+"""
+scripts/repair_unknown_serials.py — re-attribute events stuck under
+`serial = 'UNKNOWN'` to their correct serial by decoding the BW filename.
+
+Why this is needed
+──────────────────
+The /db/import/blastware_file endpoint had a bug (fixed in commit a032fa5+1
+on the ach-report-ingestion branch) where every forwarded event was inserted
+with serial='UNKNOWN' because the endpoint's `_serial_from_event(ev)` stub
+returned None and never consulted the BW-filename serial that
+`WaveformStore.save_imported_bw()` had already decoded.
+
+Effect on a server that ran a buggy version: every forwarded event's
+SeismoDb row has `serial='UNKNOWN'`, even though the on-disk waveform
+store has correctly bucketed the files into `BE<NNNN>/` folders.  So
+the BW binaries / sidecars / HDF5s are fine, but `/db/units` and
+`/db/events?serial=...` queries don't surface the events.
+
+This script
+───────────
+Walks the events table looking for rows with `serial='UNKNOWN'` and
+re-attributes each one to the serial decoded from its
+`blastware_filename` column.  If the row's serial would collide with
+an existing row (already-correct duplicate from a later re-forward),
+the UNKNOWN row is deleted.  Otherwise the row's `serial` column is
+updated in-place.
+
+Idempotent: re-running after a successful repair finds zero matching
+rows and exits cleanly.
+
+Usage
+─────
+  # Dry-run (default): print what would change, don't touch the DB
+  python -m scripts.repair_unknown_serials --db bridges/captures/seismo_relay.db
+
+  # Apply the repair
+  python -m scripts.repair_unknown_serials --db bridges/captures/seismo_relay.db --apply
+"""
+
+from __future__ import annotations
+
+import argparse
+import sqlite3
+import sys
+from pathlib import Path
+
+# Reach into sfm.waveform_store for the serial decoder.  This script
+# is run from the repo root via `python -m scripts.repair_unknown_serials`.
+sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
+from sfm.waveform_store import _serial_from_bw_filename
+
+
+def main(argv: list[str] | None = None) -> int:
+    p = argparse.ArgumentParser(
+        description="Re-attribute events stuck under serial='UNKNOWN'.",
+    )
+    p.add_argument(
+        "--db", required=True, type=Path,
+        help="Path to seismo_relay.db (e.g. bridges/captures/seismo_relay.db)",
+    )
+    p.add_argument(
+        "--apply", action="store_true",
+        help="Apply the repair.  Without this flag the script runs in "
+             "dry-run mode and only reports what would change.",
+    )
+    args = p.parse_args(argv)
+
+    if not args.db.exists():
+        print(f"DB not found: {args.db}", file=sys.stderr)
+        return 2
+
+    conn = sqlite3.connect(str(args.db))
+    conn.row_factory = sqlite3.Row
+
+    rows = list(conn.execute(
+        "SELECT id, serial, timestamp, blastware_filename "
+        "  FROM events "
+        " WHERE serial = 'UNKNOWN' "
+        " ORDER BY timestamp",
+    ))
+    print(f"Found {len(rows)} UNKNOWN-serial rows in events table.")
+    if not rows:
+        return 0
+
+    updated   = 0
+    deleted   = 0
+    unresolved = 0
+    by_serial: dict[str, int] = {}
+
+    for row in rows:
+        rid       = row["id"]
+        ts        = row["timestamp"]
+        bw_name   = row["blastware_filename"]
+        new_serial = _serial_from_bw_filename(bw_name) if bw_name else None
+        if not new_serial:
+            print(f"  ⚠ id={rid[:8]} ts={ts} filename={bw_name!r} — "
+                  f"cannot decode serial from filename; skipping")
+            unresolved += 1
+            continue
+
+        # Check for an existing row at the target (serial, timestamp).
+        existing = conn.execute(
+            "SELECT id FROM events WHERE serial = ? AND timestamp = ?",
+            (new_serial, ts),
+        ).fetchone()
+        action: str
+        if existing is None:
+            # Safe to UPDATE in place.
+            if args.apply:
+                conn.execute(
+                    "UPDATE events SET serial = ? WHERE id = ?",
+                    (new_serial, rid),
+                )
+            action = "UPDATE"
+            updated += 1
+        else:
+            # A correctly-attributed row already exists.  Drop the
+            # UNKNOWN duplicate.
+            if args.apply:
+                conn.execute("DELETE FROM events WHERE id = ?", (rid,))
+            action = "DELETE (dup)"
+            deleted += 1
+
+        by_serial[new_serial] = by_serial.get(new_serial, 0) + 1
+        print(f"  {action:14s}  id={rid[:8]}  ts={ts}  "
+              f"filename={bw_name}  →  {new_serial}")
+
+    if args.apply:
+        conn.commit()
+    conn.close()
+
+    print()
+    print(f"Summary:")
+    print(f"  UNKNOWN rows scanned:       {len(rows)}")
+    print(f"  Updated to real serial:     {updated}")
+    print(f"  Deleted (duplicate of an    ")
+    print(f"   already-correct row):      {deleted}")
+    print(f"  Unresolved (bad filename):  {unresolved}")
+    print()
+    if by_serial:
+        print(f"Per-serial breakdown of repaired rows:")
+        for serial, count in sorted(by_serial.items()):
+            print(f"  {serial:12s}  {count}")
+    if not args.apply:
+        print()
+        print("(dry-run — re-run with --apply to commit)")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())

scripts/rescue_device.sh

@@ -0,0 +1,99 @@
+#!/usr/bin/env bash
+# Rescue an uncooperative MiniMate that's busy with another ACH session.
+#
+# Hammers POST /device/rescue in a tight loop with a short timeout.  When the
+# device is in an ACH session our SYN either gets refused or silently dropped
+# (5s connect timeout inside the endpoint) and we retry immediately.  When the
+# device is between sessions, our TCP wins, the endpoint disables Auto Call
+# Home and erases events inside the same session, then returns success.
+#
+# Usage:
+#   ./rescue_device.sh <host> [tcp_port] [--no-erase] [--no-disable-ach]
+#
+# Examples:
+#   ./rescue_device.sh 166.246.130.1 9034
+#   ./rescue_device.sh 166.246.130.1 9034 --no-erase     # just silence it
+#
+# Environment:
+#   SFM_BASE_URL    Defaults to http://localhost:8200 (SFM direct).
+#                   Set to http://localhost:8001/api/sfm to route through
+#                   Terra-View's proxy.  Direct mode avoids the proxy's
+#                   60s timeout, which matters for long-running endpoints.
+#   MAX_ATTEMPTS    Cap on retries (default 600 ≈ 30+ min).
+#   SLEEP_S         Backoff between attempts (default 1).
+#   MAX_TIME_S      Per-request timeout (default 60).
+#   CONNECT_TIMEOUT TCP connect timeout (default 5).
+#   RECV_TIMEOUT    Per-frame S3 recv timeout (default 5).  If POLL or any
+#                   subsequent frame doesn't respond within this window, the
+#                   rescue endpoint bails and this script retries.
+
+set -u
+
+host="${1:-}"
+tcp_port="${2:-9034}"
+shift 2 2>/dev/null || shift $# 2>/dev/null
+
+if [[ -z "$host" ]]; then
+  echo "usage: $0 <host> [tcp_port] [--no-erase] [--no-disable-ach]" >&2
+  exit 2
+fi
+
+disable_ach="true"
+erase="true"
+for arg in "$@"; do
+  case "$arg" in
+    --no-erase)        erase="false" ;;
+    --no-disable-ach)  disable_ach="false" ;;
+    *) echo "unknown flag: $arg" >&2; exit 2 ;;
+  esac
+done
+
+base="${SFM_BASE_URL:-http://localhost:8200}"
+max_attempts="${MAX_ATTEMPTS:-600}"
+sleep_s="${SLEEP_S:-1}"
+max_time_s="${MAX_TIME_S:-60}"
+connect_timeout="${CONNECT_TIMEOUT:-5}"
+recv_timeout="${RECV_TIMEOUT:-5}"
+
+url="${base}/device/rescue?host=${host}&tcp_port=${tcp_port}&disable_ach=${disable_ach}&erase=${erase}&connect_timeout=${connect_timeout}&recv_timeout=${recv_timeout}"
+
+echo "rescue: target ${host}:${tcp_port}  disable_ach=${disable_ach}  erase=${erase}"
+echo "rescue: connect_timeout=${connect_timeout}s  recv_timeout=${recv_timeout}s"
+echo "rescue: POST ${url}"
+echo "rescue: up to ${max_attempts} attempts, ${sleep_s}s between, ${max_time_s}s per request"
+echo
+
+started=$(date +%s)
+for ((i=1; i<=max_attempts; i++)); do
+  printf "[%3d] %s  " "$i" "$(date +%H:%M:%S)"
+  http_code=$(curl -sS -o /tmp/rescue_resp.$$ -w "%{http_code}" \
+    --max-time "$max_time_s" \
+    -X POST "$url" || echo "000")
+  body=$(cat /tmp/rescue_resp.$$ 2>/dev/null || true)
+  rm -f /tmp/rescue_resp.$$
+
+  case "$http_code" in
+    200|201)
+      elapsed=$(( $(date +%s) - started ))
+      echo "OK  (${elapsed}s total)"
+      echo "$body"
+      exit 0
+      ;;
+    503)
+      # Connection refused / timeout — device busy in another session.  Retry fast.
+      echo "busy (503)"
+      ;;
+    000)
+      echo "curl error (network)"
+      ;;
+    *)
+      echo "HTTP $http_code"
+      echo "  $body" | head -c 400
+      echo
+      ;;
+  esac
+  sleep "$sleep_s"
+done
+
+echo "rescue: gave up after ${max_attempts} attempts" >&2
+exit 1

scripts/slow_drip.sh

@@ -0,0 +1,44 @@
+#!/usr/bin/env bash
+# Hold a single TCP session open and drip stop-monitoring frames at a slow
+# rate, so the device's UART RX FIFO has time to drain between sends.
+#
+# Use when high-rate spam isn't landing — typically because the device's
+# firmware is too busy to drain its serial buffer fast enough and bytes
+# are being lost to UART overrun.
+#
+# Usage:
+#   ./slow_drip.sh <host> [tcp_port] [duration_s]
+#
+# Env:
+#   DURATION         Default: 120 (seconds; arg 3 overrides). Clamped 1..600.
+#   INTERVAL         Seconds between drip sends (default 3).  Lower = more
+#                    aggressive, more risk of FIFO overrun.  Higher = safer
+#                    but fewer total drips per duration.
+#   CONNECT_TIMEOUT  Default: 5
+#   SFM_BASE_URL     Default: http://localhost:8200 (SFM direct).
+
+set -u
+
+host="${1:-}"
+tcp_port="${2:-9034}"
+duration="${3:-${DURATION:-120}}"
+if [[ -z "$host" ]]; then
+  echo "usage: $0 <host> [tcp_port] [duration_s]" >&2
+  exit 2
+fi
+
+base="${SFM_BASE_URL:-http://localhost:8200}"
+interval="${INTERVAL:-3}"
+connect_timeout="${CONNECT_TIMEOUT:-5}"
+
+url="${base}/device/stop_monitoring_slow_drip?host=${host}&tcp_port=${tcp_port}&duration_s=${duration}&interval_s=${interval}&connect_timeout=${connect_timeout}"
+
+echo "slow_drip: target ${host}:${tcp_port}  duration=${duration}s  interval=${interval}s  connect_timeout=${connect_timeout}s"
+echo "slow_drip: POST ${url}"
+echo
+
+# Give curl enough slack to wait out the duration plus a buffer
+max_time=$(awk -v d="$duration" 'BEGIN { printf "%d", d + 30 }')
+
+curl -sS --max-time "$max_time" -X POST "$url"
+echo

scripts/spam_stop.sh

@@ -0,0 +1,48 @@
+#!/usr/bin/env bash
+# Hammer a device with blind stop-monitoring sessions as fast as possible.
+# Single HTTP call kicks off the burst inside SFM (no per-attempt HTTP
+# overhead).  Default: 10 seconds, ~500 ms per attempt = ~20 attempts/sec.
+#
+# Usage:
+#   ./spam_stop.sh <host> [tcp_port] [duration_s]
+#
+# Examples:
+#   ./spam_stop.sh 166.246.130.1                  # 10s burst
+#   ./spam_stop.sh 166.246.130.1 9034 30          # 30s burst
+#   DURATION=60 CONNECT_TIMEOUT=0.2 ./spam_stop.sh 166.246.130.1
+#
+# Env:
+#   SFM_BASE_URL     Default: http://localhost:8200 (SFM direct).
+#                    Set to http://localhost:8001/api/sfm to route through
+#                    Terra-View's proxy — but note the proxy has a 60s
+#                    timeout, so long bursts need direct mode.
+#   DURATION         Default: 10 (seconds; arg 3 overrides)
+#   CONNECT_TIMEOUT  Default: 0.5 (seconds)
+#   REPEAT           Default: 3   (stop frames per TCP session)
+
+set -u
+
+host="${1:-}"
+tcp_port="${2:-9034}"
+duration="${3:-${DURATION:-10}}"
+
+if [[ -z "$host" ]]; then
+  echo "usage: $0 <host> [tcp_port] [duration_s]" >&2
+  exit 2
+fi
+
+base="${SFM_BASE_URL:-http://localhost:8200}"
+connect_timeout="${CONNECT_TIMEOUT:-0.5}"
+repeat="${REPEAT:-3}"
+
+url="${base}/device/stop_monitoring_spam?host=${host}&tcp_port=${tcp_port}&duration_s=${duration}&connect_timeout=${connect_timeout}&repeat=${repeat}"
+
+echo "spam_stop: target ${host}:${tcp_port}  duration=${duration}s  connect_timeout=${connect_timeout}s  repeat=${repeat}"
+echo "spam_stop: POST ${url}"
+echo
+
+# Give curl enough slack to wait out the duration plus a buffer
+max_time=$(awk -v d="$duration" 'BEGIN { printf "%d", d + 10 }')
+
+curl -sS --max-time "$max_time" -X POST "$url"
+echo

scripts/test_thor_render.py

@@ -0,0 +1,91 @@
+"""Re-ingest a prod IDFW + IDFH via the patched save_imported_idf and
+render both PDFs to confirm charts have data."""
+from __future__ import annotations
+import sys
+import json
+import datetime
+import tempfile
+from pathlib import Path
+
+sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
+
+from sfm.waveform_store import WaveformStore
+from sfm import report_pdf
+import h5py
+
+
+class FakeDb:
+    def __init__(self, event):
+        self.event = event
+    def get_event(self, _id):
+        return self.event
+
+
+def to_ts_iso(ts):
+    if ts is None:
+        return None
+    try:
+        return datetime.datetime(ts.year, ts.month, ts.day, ts.hour, ts.minute, ts.second).isoformat()
+    except Exception:
+        return None
+
+
+def render_case(idf_path: Path, serial: str, out_pdf: Path, h5_summary: bool = True):
+    with tempfile.TemporaryDirectory() as td:
+        store = WaveformStore(Path(td))
+        ev, rec = store.save_imported_idf(
+            idf_path.read_bytes(),
+            idf_path,
+            idf_report_text=None,    # production worst case: no .txt
+        )
+        print(f"=== {idf_path.name} ===")
+        print(f"  h5: {rec['hdf5_filename']}, sidecar: {rec['sidecar_filename']}")
+
+        h5p = Path(td) / serial / f"{idf_path.name}.h5"
+        if h5p.exists() and h5_summary:
+            with h5py.File(h5p) as h:
+                for ch in ("Tran", "Vert", "Long", "MicL"):
+                    ds = h.get(f"samples/{ch}")
+                    if ds is not None:
+                        n = ds.shape[0]
+                        mx = float(abs(ds[...]).max()) if n else 0
+                        print(f"  samples/{ch}: n={n}  max_abs={mx:.5f}")
+
+        record_type = "Histogram" if idf_path.suffix.upper() == ".IDFH" else "Waveform"
+        fake_row = {
+            "serial":              serial,
+            "blastware_filename":  rec["filename"],
+            "record_type":         record_type,
+            "timestamp":           to_ts_iso(ev.timestamp),
+            "sample_rate":         ev.sample_rate,
+            "project":             ev.project_info.project if ev.project_info else None,
+            "client":              ev.project_info.client if ev.project_info else None,
+            "operator":            ev.project_info.operator if ev.project_info else None,
+            "sensor_location":     ev.project_info.sensor_location if ev.project_info else None,
+            "created_at":          None,
+        }
+        rd = report_pdf.gather_report_data(FakeDb(fake_row), store, event_id="test-1")
+        print(f"  ReportData: channels={ {k: len(v) for k,v in rd.channels.items()} }")
+        if rd.is_histogram:
+            print(f"  histogram n_intervals={rd.histogram_n_intervals} interval_size={rd.histogram_interval_size}")
+        pdf = report_pdf.render_event_report_pdf(rd)
+        out_pdf.write_bytes(pdf)
+        print(f"  PDF: {out_pdf}  ({len(pdf)} bytes)")
+
+
+def main():
+    out_dir = Path("/tmp/thor_render_test"); out_dir.mkdir(exist_ok=True)
+    cases = [
+        # IDFW that decoded to preamble-only under the old codec
+        ("/home/serversdown/seismo-relay-prod-snap/waveforms/UM6047/UM6047_20250804154137.IDFW", "UM6047"),
+        # IDFW that worked under the old codec (validates no regression)
+        ("/home/serversdown/seismo-relay-prod-snap/waveforms/UM6047/UM6047_20250804104450.IDFW", "UM6047"),
+        # IDFH histogram
+        ("/home/serversdown/seismo-relay-prod-snap/waveforms/UM6047/UM6047_20250804190047.IDFH", "UM6047"),
+    ]
+    for path, serial in cases:
+        render_case(Path(path), serial, out_dir / f"{Path(path).name}.pdf")
+
+
+if __name__ == "__main__":
+    main()

scripts/watch_unit.sh

@@ -0,0 +1,58 @@
+#!/usr/bin/env bash
+# Passive monitor for a misbehaving unit.  Every INTERVAL seconds, attempts
+# a single short TCP probe + storage_range read and logs the result.  Designed
+# to run unattended for hours/days and tell you when the unit comes back.
+#
+# Usage:
+#   ./watch_unit.sh <host> [tcp_port]
+#
+# Env:
+#   INTERVAL    Seconds between checks (default 300 = 5 min)
+#   LOG_FILE    Append results here (default /tmp/watch_<host>.log)
+#   SFM_BASE_URL  Default: http://localhost:8200
+
+set -u
+
+host="${1:-}"
+tcp_port="${2:-9034}"
+if [[ -z "$host" ]]; then
+  echo "usage: $0 <host> [tcp_port]" >&2
+  exit 2
+fi
+
+interval="${INTERVAL:-300}"
+log_file="${LOG_FILE:-/tmp/watch_${host}.log}"
+base="${SFM_BASE_URL:-http://localhost:8200}"
+
+url="${base}/device/events/storage_range?host=${host}&tcp_port=${tcp_port}"
+
+echo "watch_unit: target ${host}:${tcp_port}  interval=${interval}s  log=${log_file}"
+echo "watch_unit: Ctrl-C to stop"
+
+while true; do
+  ts=$(date '+%Y-%m-%d %H:%M:%S')
+  http_code=$(curl -sS -o /tmp/watch_resp.$$ -w "%{http_code}" \
+    --max-time 20 "$url" || echo "000")
+  body=$(cat /tmp/watch_resp.$$ 2>/dev/null || true)
+  rm -f /tmp/watch_resp.$$
+
+  case "$http_code" in
+    200|201)
+      # Strip the raw_hex for readability
+      summary=$(echo "$body" | sed 's/"raw_hex":"[^"]*",*//; s/,*$//' | head -c 200)
+      echo "$ts  REACHABLE  $summary" | tee -a "$log_file"
+      ;;
+    502|503)
+      err=$(echo "$body" | head -c 150)
+      echo "$ts  ERROR_$http_code  $err" | tee -a "$log_file"
+      ;;
+    000)
+      echo "$ts  CURL_FAIL  (network/timeout)" | tee -a "$log_file"
+      ;;
+    *)
+      echo "$ts  HTTP_$http_code  $(echo "$body" | head -c 150)" | tee -a "$log_file"
+      ;;
+  esac
+
+  sleep "$interval"
+done

sfm/database.py

@@ -85,6 +85,7 @@ CREATE TABLE IF NOT EXISTS events (
     blastware_filesize      INTEGER,                -- bytes; NULL if no event file saved
     a5_pickle_filename      TEXT,                   -- "<filename>.a5.pkl" sidecar
     sidecar_filename        TEXT,                   -- "<filename>.sfm.json" review/metadata sidecar
+    device_family           TEXT,                   -- "series3" (MiniMate Plus / BW) | "series4" (Micromate / Thor) — drives per-family UI rendering (units, labels)
     created_at              TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
     UNIQUE(serial, timestamp)
 );
@@ -198,11 +199,53 @@ class SeismoDb:
             ("blastware_filesize", "INTEGER"),
             ("a5_pickle_filename", "TEXT"),
             ("sidecar_filename",   "TEXT"),
+            ("device_family",      "TEXT"),
         ):
             if col not in existing_cols:
                 log.info("_migrate: events ADD COLUMN %s %s", col, ddl)
                 conn.execute(f"ALTER TABLE events ADD COLUMN {col} {ddl}")
 
+        # Migration 1c: backfill device_family for existing rows by sniffing
+        # the device-native binary filename's extension.  Thor (Micromate
+        # Series IV) writes `.IDFH` / `.IDFW`; MiniMate Plus (Series III)
+        # writes `.AB0*` / `.N00` / `.<base36>` Blastware extensions.  We do
+        # this here rather than from sidecars so the migration is fully
+        # self-contained (doesn't need the waveform-store root) and runs at
+        # DB-init time.  Only fills NULL device_family so re-runs are no-ops.
+        rebackfill = conn.execute(
+            "SELECT COUNT(*) FROM events WHERE device_family IS NULL"
+        ).fetchone()
+        if rebackfill and rebackfill[0] > 0:
+            log.info("_migrate: backfilling device_family for %d events", rebackfill[0])
+            # Series IV (Thor IDF) — extension is exactly .IDFH or .IDFW
+            conn.execute(
+                """
+                UPDATE events
+                   SET device_family = 'series4'
+                 WHERE device_family IS NULL
+                   AND (
+                        UPPER(blastware_filename) LIKE '%.IDFH'
+                     OR UPPER(blastware_filename) LIKE '%.IDFW'
+                   )
+                """
+            )
+            # Everything else with a filename → Series III (Blastware family)
+            conn.execute(
+                """
+                UPDATE events
+                   SET device_family = 'series3'
+                 WHERE device_family IS NULL
+                   AND blastware_filename IS NOT NULL
+                """
+            )
+            # Rows with no filename (e.g. older monitor_log-derived events)
+            # stay NULL — UI handles NULL as "unknown family".
+            remaining = conn.execute(
+                "SELECT COUNT(*) FROM events WHERE device_family IS NULL"
+            ).fetchone()[0]
+            log.info("_migrate: device_family backfill complete (remaining NULL=%d)",
+                     remaining)
+
         # Migration 2: change monitor_log UNIQUE from (serial, waveform_key) to
         # (serial, start_time) — same reasoning as events.
         row = conn.execute(
@@ -302,6 +345,7 @@ class SeismoDb:
         serial: str,
         session_id: Optional[str] = None,
         waveform_records: Optional[dict[str, dict]] = None,
+        device_family: Optional[str] = None,
     ) -> tuple[int, int]:
         """
         Insert triggered events. Silently skips duplicates (serial+timestamp).
@@ -316,6 +360,11 @@ class SeismoDb:
         (dedup hit), the matching waveform record is upserted onto the
         existing row so a re-download via the live endpoint refreshes the
         file metadata.
+
+        ``device_family`` (optional): "series3" (MiniMate Plus / Blastware) or
+        "series4" (Micromate / Thor).  Drives per-family UI rendering — most
+        importantly the mic-unit convention (psi vs dB(L)).  Set on every
+        insert and overwritten on every UPSERT so the latest writer wins.
         """
         inserted = skipped = 0
         wave_recs = waveform_records or {}
@@ -349,8 +398,9 @@ class SeismoDb:
                              project, client, operator, sensor_location,
                              sample_rate, record_type,
                              blastware_filename, blastware_filesize,
-                             a5_pickle_filename, sidecar_filename)
+                             a5_pickle_filename, sidecar_filename,
-                        VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+                             device_family)
+                        VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
                         """,
                         (
                             self._new_id(), serial, key, session_id, ts,
@@ -369,33 +419,72 @@ class SeismoDb:
                             rec.get("filesize"),
                             rec.get("a5_pickle_filename"),
                             rec.get("sidecar_filename"),
+                            device_family,
                         ),
                     )
                     inserted += 1
                 except sqlite3.IntegrityError:
                     skipped += 1
-                    # Upsert waveform fields onto the existing dedup row so a
+                    # UPSERT path: a row for this (serial, timestamp) already
-                    # re-download via the live endpoint refreshes filename /
+                    # exists.  Refresh every device-authoritative field from
-                    # size / sidecar without churning the rest of the row.
+                    # the new data so that a re-import with better data (e.g.
-                    if rec and ts:
+                    # a watcher re-forward where the previous attempt missed
-                        conn.execute(
+                    # the paired BW ASCII report) replaces stale peaks /
-                            """
+                    # project info / sample_rate.
-                            UPDATE events
+                    #
-                               SET blastware_filename = ?,
+                    # Preserved (not in this UPDATE):
-                                   blastware_filesize = ?,
+                    #   id, waveform_key, session_id, created_at  — immutable / FK
-                                   a5_pickle_filename = ?,
+                    #   false_trigger                              — operator review state
-                                   sidecar_filename   = ?
+                    #
-                             WHERE serial = ? AND timestamp = ?
+                    # Behaviour change vs prior versions: this UPDATE used
-                            """,
+                    # to only refresh filename / filesize / a5_pickle /
-                            (
+                    # sidecar fields.  As a result, the first insert's
-                                rec.get("filename"),
+                    # broken-codec peak values were locked in forever even
-                                rec.get("filesize"),
+                    # if subsequent re-forwards arrived with correct
-                                rec.get("a5_pickle_filename"),
+                    # report-derived values.  Now every re-import lifts the
-                                rec.get("sidecar_filename"),
+                    # DB row up to whatever the latest Event carries.
-                                serial,
+                    conn.execute(
-                                ts,
+                        """
-                            ),
+                        UPDATE events
-                        )
+                           SET tran_ppv           = ?,
+                               vert_ppv           = ?,
+                               long_ppv           = ?,
+                               peak_vector_sum    = ?,
+                               mic_ppv            = ?,
+                               project            = ?,
+                               client             = ?,
+                               operator           = ?,
+                               sensor_location    = ?,
+                               sample_rate        = ?,
+                               record_type        = ?,
+                               blastware_filename = ?,
+                               blastware_filesize = ?,
+                               a5_pickle_filename = ?,
+                               sidecar_filename   = ?,
+                               device_family      = COALESCE(?, device_family)
+                         WHERE serial = ? AND timestamp = ?
+                        """,
+                        (
+                            pv.tran            if pv else None,
+                            pv.vert            if pv else None,
+                            pv.long            if pv else None,
+                            pv.peak_vector_sum if pv else None,
+                            pv.micl            if pv else None,
+                            pi.project         if pi else None,
+                            pi.client          if pi else None,
+                            pi.operator        if pi else None,
+                            pi.sensor_location if pi else None,
+                            ev.sample_rate,
+                            ev.record_type,
+                            rec.get("filename")           if rec else None,
+                            rec.get("filesize")           if rec else None,
+                            rec.get("a5_pickle_filename") if rec else None,
+                            rec.get("sidecar_filename")   if rec else None,
+                            device_family,
+                            serial,
+                            ts,
+                        ),
+                    )
 
         log.debug("insert_events serial=%s inserted=%d skipped=%d",
                   serial, inserted, skipped)
@@ -455,6 +544,75 @@ class SeismoDb:
             )
         return cur.rowcount > 0
 
+    def delete_event(self, event_id: str) -> Optional[dict]:
+        """
+        Hard-delete one event row by id.  Returns the deleted row (so the
+        caller can clean up any on-disk files referenced by it) or None
+        if no row matched.
+        """
+        with self._connect() as conn:
+            row = conn.execute(
+                "SELECT * FROM events WHERE id = ?", (event_id,),
+            ).fetchone()
+            if row is None:
+                return None
+            conn.execute("DELETE FROM events WHERE id = ?", (event_id,))
+        return dict(row)
+
+    def delete_events_bulk(
+        self,
+        serial: Optional[str] = None,
+        from_dt: Optional[datetime.datetime] = None,
+        to_dt: Optional[datetime.datetime] = None,
+        false_trigger: Optional[bool] = None,
+        ids: Optional[list[str]] = None,
+    ) -> list[dict]:
+        """
+        Hard-delete events matching the given filters.  Returns the list
+        of deleted row dicts.  Refuses to delete with no filters at all
+        (would wipe the whole table) — raises ValueError.
+
+        Filter semantics match query_events: serial / from_dt / to_dt /
+        false_trigger combine with AND.  `ids` is an additional inclusion
+        list (event_id IN (...)); if supplied alongside other filters,
+        only rows matching all conditions are deleted.
+        """
+        clauses: list[str] = []
+        params:  list      = []
+
+        if serial:
+            clauses.append("serial = ?")
+            params.append(serial)
+        if from_dt:
+            clauses.append("timestamp >= ?")
+            params.append(from_dt.isoformat())
+        if to_dt:
+            clauses.append("timestamp <= ?")
+            params.append(to_dt.isoformat())
+        if false_trigger is not None:
+            clauses.append("false_trigger = ?")
+            params.append(1 if false_trigger else 0)
+        if ids:
+            placeholders = ",".join("?" * len(ids))
+            clauses.append(f"id IN ({placeholders})")
+            params.extend(ids)
+
+        if not clauses:
+            raise ValueError(
+                "delete_events_bulk refuses to delete with no filters "
+                "(would wipe the entire events table)"
+            )
+
+        where = "WHERE " + " AND ".join(clauses)
+
+        with self._connect() as conn:
+            rows = conn.execute(
+                f"SELECT * FROM events {where}", params,
+            ).fetchall()
+            if rows:
+                conn.execute(f"DELETE FROM events {where}", params)
+        return [dict(r) for r in rows]
+
     def update_event_review(self, event_id: str, review: dict) -> bool:
         """
         Sync derived index columns from a sidecar's `review` block.
@@ -564,21 +722,79 @@ class SeismoDb:
 
     def query_units(self) -> list[dict]:
         """
-        Return one row per known serial with summary stats:
+        Return one row per known serial with summary stats.
-        last_seen, total_events, total_monitor_entries.
+
+        Aggregates from BOTH source tables:
+          - `events`        — populated by every ingest path
+                              (live ACH, /db/import/blastware_file
+                              from the series3-watcher forwarder, etc.)
+          - `ach_sessions`  — only populated by the live ACH server;
+                              empty for events that came in via the
+                              BW-importer route.
+
+        Earlier this method only joined on `ach_sessions`, which made
+        watcher-forwarded units invisible to the SFM webapp's fleet
+        overview even though their events were correctly populated in
+        `events`.  Now we union the two and surface every serial that
+        has activity in either table.
+
+        Fields:
+          serial                — unit serial number (e.g. "BE11529")
+          last_seen             — most recent of MAX(events.timestamp)
+                                  and MAX(ach_sessions.session_time)
+          total_events          — COUNT(*) from `events` (the
+                                  authoritative count regardless of
+                                  ingest path)
+          total_monitor_entries — from `ach_sessions`, 0 when absent
+          total_sessions        — COUNT(*) from `ach_sessions`, 0 when absent
         """
         with self._connect() as conn:
-            rows = conn.execute(
+            event_stats = {
-                """
+                row["serial"]: row
-                SELECT
+                for row in conn.execute(
-                    s.serial,
+                    """
-                    MAX(s.session_time)  AS last_seen,
+                    SELECT serial,
-                    SUM(s.events_downloaded)  AS total_events,
+                           MAX(timestamp) AS last_event_at,
-                    SUM(s.monitor_entries)    AS total_monitor_entries,
+                           COUNT(*)        AS total_events
-                    COUNT(*)                  AS total_sessions
+                      FROM events
-                FROM ach_sessions s
+                     GROUP BY serial
-                GROUP BY s.serial
+                    """,
-                ORDER BY last_seen DESC
+                ).fetchall()
-                """
+            }
-            ).fetchall()
+            session_stats = {
-        return [dict(r) for r in rows]
+                row["serial"]: row
+                for row in conn.execute(
+                    """
+                    SELECT serial,
+                           MAX(session_time)         AS last_session_at,
+                           SUM(monitor_entries)      AS total_monitor_entries,
+                           COUNT(*)                  AS total_sessions
+                      FROM ach_sessions
+                     GROUP BY serial
+                    """,
+                ).fetchall()
+            }
+
+        all_serials = set(event_stats) | set(session_stats)
+        units = []
+        for serial in all_serials:
+            e = event_stats.get(serial)
+            s = session_stats.get(serial)
+            last_event_at   = e["last_event_at"]   if e else None
+            last_session_at = s["last_session_at"] if s else None
+            # Prefer whichever timestamp is more recent
+            last_seen = max(
+                (t for t in (last_event_at, last_session_at) if t),
+                default=None,
+            )
+            units.append({
+                "serial":                serial,
+                "last_seen":             last_seen,
+                "total_events":          e["total_events"]          if e else 0,
+                "total_monitor_entries": s["total_monitor_entries"] if s else 0,
+                "total_sessions":        s["total_sessions"]        if s else 0,
+            })
+
+        # Sort by last_seen desc; serials with no timestamp at all sink to the bottom.
+        units.sort(key=lambda u: u.get("last_seen") or "", reverse=True)
+        return units

sfm/dump_0c.py

@@ -1,216 +0,0 @@
-"""
-sfm.dump_0c — inspect the raw 210-byte SUB 0C waveform record stored in a
-sidecar JSON's `extensions.raw_records.waveform_record_b64`.
-
-Usage:
-
-    python -m sfm.dump_0c <sidecar.sfm.json> [<sidecar.sfm.json> ...]
-
-Prints, for each input:
-  - A header summarising the sidecar's metadata-block claims (peaks,
-    project, timestamp) — the "what BW says this event measured" view.
-  - A 16-byte-wide hex dump of the raw 0C record, annotated with known
-    field anchors (STRT, channel labels, project strings).
-  - A "candidate float regions" scan that brute-forces every byte
-    position as a float32 BE and prints any that yield a value in a
-    plausible range (1e-7 to 1e3) — useful for hunting where Peak
-    Acceleration / Peak Displacement / ZC Freq / Time of Peak live.
-
-Pairing the printed candidates with the BW Event Report values lets
-us nail down byte offsets for the missing fields without a live
-device.
-"""
-
-from __future__ import annotations
-
-import argparse
-import base64
-import json
-import struct
-import sys
-from pathlib import Path
-
-
-# ── Annotations for known anchors in a 210-byte 0C record ──────────────────
-
-# Anchors we look for and label inline in the hex dump.  Each is a needle
-# (bytes to find) and a short label.  Found via .find() — the first
-# occurrence wins.
-_ANCHORS = [
-    (b"Tran",            "Tran label  (PPV @ +6, PVS @ -12)"),
-    (b"Vert",            "Vert label  (PPV @ +6)"),
-    (b"Long",            "Long label  (PPV @ +6)"),
-    (b"MicL",            "MicL label  (peak psi @ +6)"),
-    (b"Project:",        "Project: label"),
-    (b"Client:",         "Client: label"),
-    (b"User Name:",      "User Name: label"),
-    (b"Seis Loc:",       "Seis Loc: label"),
-    (b"Extended Notes",  "Extended Notes label"),
-]
-
-
-def _hex_dump(data: bytes, anchors: dict[int, str]) -> str:
-    """Return a 16-byte-wide hex+ASCII dump, with anchor labels printed
-    on the line that contains the anchor's start byte."""
-    lines = []
-    for off in range(0, len(data), 16):
-        chunk = data[off : off + 16]
-        hex_part   = " ".join(f"{b:02x}" for b in chunk)
-        ascii_part = "".join(chr(b) if 32 <= b < 127 else "." for b in chunk)
-        line = f"  {off:04x}  {hex_part:<47}  |{ascii_part}|"
-
-        # If any anchor lands on a byte in this row, append a tag
-        tags = [
-            f"[{a:#04x}: {label}]"
-            for a, label in anchors.items()
-            if off <= a < off + 16
-        ]
-        if tags:
-            line += "  " + "  ".join(tags)
-        lines.append(line)
-    return "\n".join(lines)
-
-
-def _scan_float32_be(data: bytes, lo: float, hi: float) -> list[tuple[int, float]]:
-    """Brute-force every offset where data[off:off+4] is a float32 BE in
-    (lo, hi).  Includes negatives in the symmetric range."""
-    hits = []
-    for i in range(len(data) - 3):
-        try:
-            v = struct.unpack_from(">f", data, i)[0]
-        except struct.error:
-            continue
-        if v != v:                     # NaN
-            continue
-        if abs(v) < 1e-30 or abs(v) > 1e10:   # crap range
-            continue
-        a = abs(v)
-        if lo <= a <= hi:
-            hits.append((i, v))
-    return hits
-
-
-def _scan_uint16_be(data: bytes, lo: int, hi: int) -> list[tuple[int, int]]:
-    """Find every offset where uint16 BE is in [lo, hi]."""
-    hits = []
-    for i in range(len(data) - 1):
-        v = (data[i] << 8) | data[i + 1]
-        if lo <= v <= hi:
-            hits.append((i, v))
-    return hits
-
-
-def _summarize_sidecar(side: dict) -> str:
-    ev   = side.get("event", {})
-    pv   = side.get("peak_values", {})
-    pi   = side.get("project_info", {})
-    bw   = side.get("blastware", {})
-    return (
-        f"  serial:     {ev.get('serial')}\n"
-        f"  timestamp:  {ev.get('timestamp')}\n"
-        f"  waveform:   {ev.get('waveform_key')}  ({ev.get('record_type')})\n"
-        f"  sample_rate:{ev.get('sample_rate')} sps  rectime:{ev.get('rectime_seconds')}s\n"
-        f"  bw file:    {bw.get('filename')}  ({bw.get('filesize')} B)\n"
-        f"  peaks:      "
-        f"Tran={pv.get('transverse'):.5f}  "
-        f"Vert={pv.get('vertical'):.5f}  "
-        f"Long={pv.get('longitudinal'):.5f}  "
-        f"PVS={pv.get('vector_sum'):.5f} in/s  "
-        f"Mic={pv.get('mic_psi'):.6e} psi"
-        if all(pv.get(k) is not None for k in
-               ("transverse", "vertical", "longitudinal", "vector_sum", "mic_psi"))
-        else f"  peaks:      {pv}\n  project:    {pi}"
-    ) + (
-        f"\n  project:    {pi.get('project')!r}  / {pi.get('client')!r}  / "
-        f"operator={pi.get('operator')!r}  loc={pi.get('sensor_location')!r}"
-    )
-
-
-def dump_one(path: Path) -> int:
-    side = json.loads(path.read_text(encoding="utf-8"))
-
-    raw_b64 = (
-        side.get("extensions", {})
-            .get("raw_records", {})
-            .get("waveform_record_b64")
-    )
-    if not raw_b64:
-        print(f"\n=== {path} ===")
-        print("  ! no extensions.raw_records.waveform_record_b64 — sidecar")
-        print("    pre-dates raw-0C persistence (added in v0.15.x).  Re-save")
-        print("    the event from the device to capture the bytes.")
-        return 1
-
-    raw = base64.b64decode(raw_b64)
-
-    # Build anchor map
-    anchors: dict[int, str] = {}
-    for needle, label in _ANCHORS:
-        i = raw.find(needle)
-        if i >= 0:
-            anchors[i] = label
-
-    print(f"\n=== {path} ===")
-    print("metadata claimed by sidecar:")
-    print(_summarize_sidecar(side))
-
-    print(f"\nraw 0C record  ({len(raw)} bytes):")
-    print(_hex_dump(raw, anchors))
-
-    # Float32 BE candidates in geo-relevant ranges
-    geo_hits = _scan_float32_be(raw, 1e-5, 50.0)
-    # Filter: only show hits that are NOT trivially the per-channel labels'
-    # +6 PPV floats already documented (those will land in any sweep too).
-    print("\nfloat32 BE candidates (1e-5 .. 50.0):")
-    for off, v in geo_hits:
-        annotation = ""
-        for needle, _ in _ANCHORS[:4]:   # geo + mic labels
-            i = raw.find(needle)
-            if i >= 0 and off == i + 6:
-                annotation = f"  ← {needle.decode()} PPV (label+6)"
-                break
-        print(f"    {off:#04x}  ({off:3d})  {v:>+15.6f}{annotation}")
-
-    print("\nuint16 BE candidates ZC-Freq-ish (1..200):")
-    for off, v in _scan_uint16_be(raw, 1, 200):
-        if v < 5:    # too noisy at very low end
-            continue
-        print(f"    {off:#04x}  ({off:3d})  = {v}")
-
-    print("\nuint16 BE candidates Time-of-Peak-ish if stored as ms (1..30000):")
-    for off, v in _scan_uint16_be(raw, 1, 30000):
-        if v < 100:  # noise filter
-            continue
-        # Only the first ~80 are worth showing — too many hits otherwise
-        if off > 80:
-            break
-        print(f"    {off:#04x}  ({off:3d})  = {v} ms ?")
-
-    print()
-    return 0
-
-
-def main(argv: list[str] | None = None) -> int:
-    p = argparse.ArgumentParser(
-        description="Inspect a saved 0C waveform record from a sidecar JSON.",
-    )
-    p.add_argument(
-        "sidecars",
-        nargs="+",
-        type=Path,
-        help="Path(s) to <event>.sfm.json sidecar file(s).",
-    )
-    args = p.parse_args(argv)
-
-    rc = 0
-    for path in args.sidecars:
-        try:
-            rc |= dump_one(path)
-        except Exception as exc:
-            print(f"\n=== {path} ===\n  ERROR: {exc}", file=sys.stderr)
-            rc |= 2
-    return rc
-
-
-if __name__ == "__main__":
-    sys.exit(main())

sfm/event_browser.html

@@ -0,0 +1,909 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+  <meta charset="UTF-8" />
+  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+  <title>SFM Event Browser</title>
+  <script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/4.4.1/chart.umd.min.js"></script>
+  <style>
+    * { box-sizing: border-box; margin: 0; padding: 0; }
+
+    body {
+      background: #0d1117;
+      color: #c9d1d9;
+      font-family: 'Segoe UI', system-ui, sans-serif;
+      font-size: 13px;
+      height: 100vh;
+      display: flex;
+      flex-direction: column;
+      overflow: hidden;
+    }
+
+    header {
+      background: #161b22;
+      border-bottom: 1px solid #30363d;
+      padding: 12px 20px;
+      display: flex;
+      align-items: center;
+      gap: 16px;
+      flex-shrink: 0;
+    }
+
+    header h1 {
+      font-size: 15px;
+      font-weight: 600;
+      color: #f0f6fc;
+      white-space: nowrap;
+    }
+
+    label { color: #8b949e; font-size: 12px; }
+
+    select, input[type="text"], input[type="search"] {
+      background: #0d1117;
+      border: 1px solid #30363d;
+      border-radius: 6px;
+      color: #c9d1d9;
+      padding: 5px 8px;
+      font-size: 13px;
+    }
+    select { min-width: 140px; }
+    input[type="search"] { width: 200px; }
+    select:focus, input:focus { outline: none; border-color: #388bfd; }
+
+    button {
+      background: #1f6feb;
+      border: none;
+      border-radius: 6px;
+      color: #fff;
+      cursor: pointer;
+      font-size: 13px;
+      font-weight: 500;
+      padding: 5px 14px;
+    }
+    button:hover { background: #388bfd; }
+    button:disabled { background: #21262d; color: #484f58; cursor: not-allowed; }
+
+    #main {
+      flex: 1;
+      display: flex;
+      overflow: hidden;
+    }
+
+    /* ── Event list (left sidebar) ────────────────────────────────── */
+    #event-list-wrap {
+      width: 320px;
+      flex-shrink: 0;
+      background: #0d1117;
+      border-right: 1px solid #21262d;
+      display: flex;
+      flex-direction: column;
+    }
+
+    #event-list-header {
+      padding: 10px 14px;
+      border-bottom: 1px solid #21262d;
+      font-size: 11px;
+      color: #8b949e;
+      text-transform: uppercase;
+      letter-spacing: 0.06em;
+      display: flex;
+      justify-content: space-between;
+    }
+
+    #event-list {
+      flex: 1;
+      overflow-y: auto;
+    }
+
+    .event-row {
+      padding: 8px 14px;
+      border-bottom: 1px solid #161b22;
+      cursor: pointer;
+      transition: background 0.1s;
+    }
+    .event-row:hover { background: #161b22; }
+    .event-row.active { background: #1f3a5f; border-left: 3px solid #58a6ff; padding-left: 11px; }
+    .event-row .er-top {
+      display: flex;
+      justify-content: space-between;
+      align-items: center;
+      margin-bottom: 2px;
+    }
+    .event-row .er-ts { font-family: monospace; font-size: 12px; color: #c9d1d9; }
+    .event-row .er-pvs { font-family: monospace; font-size: 12px; color: #58a6ff; font-weight: 600; }
+    .event-row .er-meta { font-size: 11px; color: #8b949e; }
+    .event-row.false_trigger .er-pvs { color: #f85149; text-decoration: line-through; }
+
+    /* ── Main viewer (right side) ─────────────────────────────────── */
+    #viewer {
+      flex: 1;
+      display: flex;
+      flex-direction: column;
+      overflow: hidden;
+    }
+
+    #event-meta {
+      padding: 12px 20px;
+      background: #161b22;
+      border-bottom: 1px solid #21262d;
+      display: grid;
+      grid-template-columns: repeat(auto-fit, minmax(160px, 1fr));
+      gap: 8px 24px;
+      flex-shrink: 0;
+    }
+    .meta-field {
+      display: flex;
+      flex-direction: column;
+      gap: 1px;
+    }
+    .meta-field .mf-label {
+      font-size: 10px;
+      color: #484f58;
+      text-transform: uppercase;
+      letter-spacing: 0.05em;
+    }
+    .meta-field .mf-value {
+      font-family: monospace;
+      font-size: 13px;
+      color: #c9d1d9;
+    }
+    .meta-field .mf-value.highlight { color: #58a6ff; font-weight: 600; }
+
+    #charts {
+      flex: 1;
+      overflow-y: auto;
+      padding: 12px 16px;
+      display: flex;
+      flex-direction: column;
+      gap: 10px;
+    }
+    .chart-wrap {
+      background: #161b22;
+      border: 1px solid #21262d;
+      border-radius: 8px;
+      padding: 10px 30px 8px 12px;  /* right padding leaves room for the "0.0" baseline label */
+    }
+    .chart-label {
+      font-size: 11px;
+      font-weight: 600;
+      letter-spacing: 0.06em;
+      text-transform: uppercase;
+      margin-bottom: 4px;
+      display: flex;
+      justify-content: space-between;
+    }
+    .chart-canvas-wrap { position: relative; height: 130px; }
+
+    .ch-tran { color: #58a6ff; }
+    .ch-vert { color: #3fb950; }
+    .ch-long { color: #d29922; }
+    .ch-micl { color: #bc8cff; }
+
+    #status-bar {
+      background: #161b22;
+      border-top: 1px solid #21262d;
+      padding: 5px 20px;
+      font-size: 12px;
+      color: #8b949e;
+      min-height: 26px;
+      flex-shrink: 0;
+    }
+    #status-bar.error { color: #f85149; }
+    #status-bar.ok    { color: #3fb950; }
+
+    #empty-state {
+      flex: 1;
+      display: flex;
+      flex-direction: column;
+      align-items: center;
+      justify-content: center;
+      color: #484f58;
+      gap: 8px;
+    }
+    #empty-state svg { opacity: 0.3; }
+
+    .pill {
+      background: #21262d;
+      border-radius: 4px;
+      padding: 2px 8px;
+      color: #c9d1d9;
+      font-family: monospace;
+      font-size: 11px;
+      margin-left: 8px;
+    }
+
+    /* Per-channel stats table in the metadata header */
+    .stats-table {
+      grid-column: 1 / -1;
+      border-collapse: collapse;
+      font-family: monospace;
+      font-size: 12px;
+      margin-top: 4px;
+    }
+    .stats-table th, .stats-table td {
+      padding: 3px 14px 3px 0;
+      text-align: left;
+      color: #c9d1d9;
+    }
+    .stats-table th {
+      color: #484f58;
+      font-size: 10px;
+      text-transform: uppercase;
+      letter-spacing: 0.05em;
+      font-weight: 500;
+    }
+
+    /* ── Print view (light theme matching the Instantel printout) ─── */
+    body.print-view {
+      background: #ffffff;
+      color: #000000;
+    }
+    body.print-view header,
+    body.print-view #event-list-wrap,
+    body.print-view #event-list-header,
+    body.print-view #event-meta,
+    body.print-view #status-bar,
+    body.print-view .chart-wrap {
+      background: #ffffff;
+      border-color: #cccccc;
+      color: #000000;
+    }
+    body.print-view .event-row { color: #000; border-bottom-color: #eee; }
+    body.print-view .event-row:hover { background: #f4f4f4; }
+    body.print-view .event-row.active {
+      background: #e6f0ff;
+      border-left-color: #1f6feb;
+    }
+    body.print-view .er-ts { color: #000; }
+    body.print-view .er-pvs { color: #003a8c; }
+    body.print-view .er-meta,
+    body.print-view #event-list-header,
+    body.print-view .meta-field .mf-label,
+    body.print-view .stats-table th {
+      color: #666;
+    }
+    body.print-view .mf-value { color: #000; }
+    body.print-view .mf-value.highlight { color: #003a8c; }
+    body.print-view label { color: #444; }
+    body.print-view input, body.print-view select {
+      background: #fff; color: #000; border-color: #ccc;
+    }
+    /* In print theme, the channel-label colors stay (they identify
+       the trace).  Only the chart panel background flips. */
+
+    @media print {
+      header, #event-list-wrap, #status-bar, button { display: none !important; }
+      body { overflow: visible; height: auto; }
+      #main, #viewer { overflow: visible; }
+      #charts { overflow: visible; }
+    }
+  </style>
+</head>
+<body>
+
+<header>
+  <h1>SFM Event Browser</h1>
+  <label>Serial</label>
+  <select id="serial-select">
+    <option value="">Loading…</option>
+  </select>
+  <input type="search" id="event-filter" placeholder="filter events…" />
+  <span class="pill" id="count-pill">—</span>
+  <button id="mic-unit-toggle" style="margin-left:auto;background:#21262d"
+          onclick="_setMicUnit(_getMicUnit() === 'dBL' ? 'psi' : 'dBL')"
+          title="Toggle mic display unit (dBL ↔ psi). Persists across page loads.">
+    Mic: dBL
+  </button>
+  <button id="print-btn" onclick="togglePrintView()" style="background:#21262d">Print view</button>
+  <button id="reload-btn" onclick="loadSerials()">Reload</button>
+</header>
+
+<div id="main">
+  <div id="event-list-wrap">
+    <div id="event-list-header">
+      <span>Events</span>
+      <span id="event-list-count">—</span>
+    </div>
+    <div id="event-list"></div>
+  </div>
+
+  <div id="viewer">
+    <div id="empty-state">
+      <svg width="48" height="48" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.5">
+        <polyline points="22 12 18 12 15 21 9 3 6 12 2 12"/>
+      </svg>
+      <p>Select a unit and event to view its waveform.</p>
+    </div>
+    <div id="event-meta" style="display:none"></div>
+    <div id="charts" style="display:none"></div>
+  </div>
+</div>
+
+<div id="status-bar">Ready.</div>
+
+<script>
+// Channel colors and rendering order mirror Instantel's BW Event Report
+// printout: MicL at the top, Tran at the bottom.  Colors approximate
+// what BW renders (magenta mic, blue long, green vert, red tran).
+const CHANNEL_COLORS = {
+  MicL: '#e066ff',
+  Long: '#3a80ff',
+  Vert: '#3fb950',
+  Tran: '#f85149',
+};
+const CHANNEL_ORDER = ['MicL', 'Long', 'Vert', 'Tran'];
+
+// Reference pressure for dB(L) — 20 µPa expressed in psi (≈ 2.9e-9 psi).
+const DBL_REF = 2.9e-9;
+
+// User-toggleable mic display unit: 'dBL' (default, matches BW printout
+// + the rest of SFM) or 'psi' (raw sample unit).
+function _getMicUnit() {
+  return localStorage.getItem('sfm_mic_unit') === 'psi' ? 'psi' : 'dBL';
+}
+function _setMicUnit(u) {
+  localStorage.setItem('sfm_mic_unit', u === 'psi' ? 'psi' : 'dBL');
+  _refreshMicUnitToggle();
+  if (currentEventId) loadEvent(currentEventId);
+}
+function _refreshMicUnitToggle() {
+  const b = document.getElementById('mic-unit-toggle');
+  if (b) b.textContent = `Mic: ${_getMicUnit()}`;
+}
+// psi → dB(L).  Null for non-positive (log undefined; Chart.js renders as a gap).
+function _psiToDbl(psi) {
+  if (psi == null || !(psi > 0)) return null;
+  return 20 * Math.log10(psi / DBL_REF);
+}
+
+// Per-sample mic chart conversion — rectify the AC waveform, dBL,
+// floor below the noise-floor minimum.  Gives a continuous baseline
+// instead of the spikey/discontinuous look you get from raw _psiToDbl.
+const MIC_DBL_FLOOR = 60;
+function _psiToDblForChart(psi) {
+  if (psi == null) return MIC_DBL_FLOOR;
+  const a = Math.abs(psi);
+  if (a === 0) return MIC_DBL_FLOOR;
+  const dbl = 20 * Math.log10(a / DBL_REF);
+  return dbl > MIC_DBL_FLOOR ? dbl : MIC_DBL_FLOOR;
+}
+
+// Format an ISO timestamp in the browser's local timezone — UTC values
+// (with 'Z' suffix) convert; naive values are interpreted as local clock.
+// Returns '—' for null/empty/unparseable.
+function _fmtTsLocal(iso) {
+  if (!iso) return '—';
+  const d = new Date(iso);
+  if (isNaN(d)) return iso;
+  return d.toLocaleString();
+}
+
+// Adaptive decimal formatter — scientific notation only for truly extreme
+// values.  Normal-range peaks render as plain decimals with sensible
+// precision (was previously forcing toExponential(3) which produced ugly
+// "2.500E-2 IN/S" labels).
+function _fmtPeak(v, unit) {
+  if (v == null || (typeof v === 'number' && !isFinite(v))) return '';
+  if (typeof v !== 'number') return String(v) + (unit ? ' ' + unit : '');
+  if (v === 0) return '0' + (unit ? ' ' + unit : '');
+  const a = Math.abs(v);
+  const u = unit ? ' ' + unit : '';
+  if (a >= 0.0001 && a < 10000) {
+    const d = a >= 100 ? 1 : a >= 10 ? 2 : a >= 1 ? 3 : a >= 0.1 ? 4 : 5;
+    return v.toFixed(d) + u;
+  }
+  return v.toExponential(2) + u;
+}
+
+let allEvents = [];
+let filteredEvents = [];
+let currentEventId = null;
+let charts = {};
+
+const apiBase = window.location.origin;
+
+function setStatus(msg, cls = '') {
+  const bar = document.getElementById('status-bar');
+  bar.textContent = msg;
+  bar.className = cls;
+}
+
+async function loadSerials() {
+  setStatus('Loading serials…');
+  try {
+    const r = await fetch(`${apiBase}/db/units`);
+    if (!r.ok) throw new Error(r.statusText);
+    // /db/units returns a bare list[dict], not {units:[...]}
+    const units = await r.json();
+    const sel = document.getElementById('serial-select');
+    sel.innerHTML = '';
+    if (!units || units.length === 0) {
+      sel.innerHTML = '<option value="">(no units found)</option>';
+      setStatus('No units in DB.', 'error');
+      return;
+    }
+    sel.innerHTML = '<option value="">— pick a unit —</option>' +
+      units.map(u => {
+        const n = u.total_events ?? 0;
+        return `<option value="${u.serial}">${u.serial}  (${n} events)</option>`;
+      }).join('');
+    setStatus(`Loaded ${units.length} units.`, 'ok');
+  } catch (e) {
+    setStatus(`Failed to load units: ${e.message}`, 'error');
+  }
+}
+
+async function loadEventsForSerial(serial) {
+  if (!serial) {
+    allEvents = [];
+    renderEventList();
+    return;
+  }
+  setStatus(`Loading events for ${serial}…`);
+  try {
+    const r = await fetch(`${apiBase}/db/events?serial=${encodeURIComponent(serial)}&limit=500`);
+    if (!r.ok) throw new Error(r.statusText);
+    const d = await r.json();
+    allEvents = d.events || [];
+    document.getElementById('count-pill').textContent = `${allEvents.length} events`;
+    applyFilter();
+    setStatus(`Loaded ${allEvents.length} events for ${serial}.`, 'ok');
+  } catch (e) {
+    setStatus(`Failed to load events: ${e.message}`, 'error');
+  }
+}
+
+function applyFilter() {
+  const q = document.getElementById('event-filter').value.toLowerCase().trim();
+  if (!q) {
+    filteredEvents = allEvents;
+  } else {
+    filteredEvents = allEvents.filter(ev =>
+      (ev.blastware_filename || '').toLowerCase().includes(q) ||
+      (ev.timestamp           || '').toLowerCase().includes(q) ||
+      (ev.record_type         || '').toLowerCase().includes(q) ||
+      (ev.project             || '').toLowerCase().includes(q)
+    );
+  }
+  document.getElementById('event-list-count').textContent = `${filteredEvents.length} / ${allEvents.length}`;
+  renderEventList();
+}
+
+function renderEventList() {
+  const list = document.getElementById('event-list');
+  list.innerHTML = '';
+  if (filteredEvents.length === 0) {
+    list.innerHTML = '<div style="padding:14px;color:#484f58;font-size:12px">No events.</div>';
+    return;
+  }
+  for (const ev of filteredEvents) {
+    const row = document.createElement('div');
+    row.className = 'event-row' + (ev.false_trigger ? ' false_trigger' : '');
+    if (ev.id === currentEventId) row.className += ' active';
+    const ts = _fmtTsLocal(ev.timestamp);
+    const pvs = ev.peak_vector_sum != null ? `${ev.peak_vector_sum.toFixed(3)} in/s` : '—';
+    row.innerHTML = `
+      <div class="er-top">
+        <span class="er-ts">${ts || '(no ts)'}</span>
+        <span class="er-pvs">${pvs}</span>
+      </div>
+      <div class="er-meta">${ev.record_type || '?'} · ${ev.blastware_filename || ev.id.slice(0,8)}</div>
+    `;
+    row.onclick = () => loadEvent(ev.id);
+    list.appendChild(row);
+  }
+}
+
+async function loadEvent(eventId) {
+  currentEventId = eventId;
+  renderEventList();
+  setStatus('Loading waveform…');
+  try {
+    // Sidecar fetch runs in parallel — its bw_report block carries ZC
+    // Freq + above-range flags + sensor-check results that the per-
+    // channel stats table surfaces.  Failures are non-fatal (legacy
+    // events without a preserved .TXT have no sidecar bw_report).
+    const sidecarP = fetch(`${apiBase}/db/events/${eventId}/sidecar`)
+      .then(r => r.ok ? r.json() : null)
+      .catch(() => null);
+
+    const r = await fetch(`${apiBase}/db/events/${eventId}/waveform.json`);
+    if (!r.ok) {
+      if (r.status === 404) {
+        showEmpty('No waveform data for this event (codec returned no samples).');
+        return;
+      }
+      throw new Error(r.statusText);
+    }
+    const data = await r.json();
+    renderWaveform(data);
+    // Also fetch metadata from the events list for richer header
+    const ev = allEvents.find(e => e.id === eventId);
+    const sidecar = await sidecarP;
+    renderMeta(data, ev, sidecar);
+    setStatus(`Event loaded.`, 'ok');
+  } catch (e) {
+    setStatus(`Failed to load event: ${e.message}`, 'error');
+    showEmpty(`Error: ${e.message}`);
+  }
+}
+
+function showEmpty(msg) {
+  document.getElementById('empty-state').style.display = 'flex';
+  document.getElementById('empty-state').querySelector('p').textContent = msg;
+  document.getElementById('event-meta').style.display = 'none';
+  document.getElementById('charts').style.display = 'none';
+  Object.values(charts).forEach(c => c.destroy());
+  charts = {};
+}
+
+function renderMeta(data, ev, sidecar) {
+  const metaDiv = document.getElementById('event-meta');
+  const fields = [
+    ['Serial',      data.serial || ev?.serial || '—'],
+    ['Timestamp',   _fmtTsLocal(data.timestamp || ev?.timestamp)],
+    ['Record',      data.record_type || ev?.record_type || '—'],
+    ['Sample rate', data.sample_rate ? `${data.sample_rate} sps` : '—'],
+    ['Geo range',   data.geo_range ? `${data.geo_range} (${data.geo_full_scale_ips} in/s FS)` : '—'],
+    ['Project',     ev?.project || '—'],
+    ['Location',    ev?.sensor_location || '—'],
+    ['Peak Vector Sum',
+                    ev?.peak_vector_sum != null ? `${ev.peak_vector_sum.toFixed(4)} in/s` : '—'],
+  ];
+
+  // Per-channel stats table mirroring the printout's middle block.
+  // PPV from the events DB row; ZC Freq + saturation flags from the
+  // sidecar's bw_report block (when a .TXT was preserved on ingest).
+  const bwrPeaks = (sidecar?.bw_report || {}).peaks || {};
+  const bwrMic   = (sidecar?.bw_report || {}).mic   || {};
+  const fmt = v => (v == null ? '—' : (typeof v === 'number' ? v.toFixed(3) : v));
+  const fmtZc = bwr => {
+    if (!bwr || bwr.zc_freq_hz == null) return '—';
+    const prefix = bwr.zc_freq_above_range ? '>' : '';
+    return `${prefix}${Math.round(bwr.zc_freq_hz)} Hz`;
+  };
+  const rows = [
+    ['Tran', ev?.tran_ppv, fmtZc(bwrPeaks.tran)],
+    ['Vert', ev?.vert_ppv, fmtZc(bwrPeaks.vert)],
+    ['Long', ev?.long_ppv, fmtZc(bwrPeaks.long)],
+  ];
+  // Mic display honors the current user preference (dBL default).
+  // mic_ppv is stored as raw psi on series3 events; convert when needed.
+  const micPsi = ev?.mic_ppv;
+  const micUnitDisplay = _getMicUnit();
+  let micStr;
+  if (micPsi == null) {
+    micStr = '—';
+  } else if (micUnitDisplay === 'dBL') {
+    const d = _psiToDbl(Number(micPsi));
+    micStr = (d != null ? d.toFixed(1) : '—') + ' dBL';
+  } else {
+    micStr = Number(micPsi).toExponential(2) + ' psi';
+  }
+  const statsHtml = `
+    <table class="stats-table">
+      <thead>
+        <tr><th>Channel</th><th>PPV (in/s)</th><th>ZC Freq</th></tr>
+      </thead>
+      <tbody>
+        ${rows.map(([ch, ppv, zc]) => `<tr><td>${ch}</td><td>${fmt(ppv)}</td><td>${zc}</td></tr>`).join('')}
+        <tr><td>MicL</td><td>${micStr}</td><td>${fmtZc(bwrMic)}</td></tr>
+      </tbody>
+    </table>
+  `;
+
+  metaDiv.innerHTML =
+    fields.map(([l, v]) =>
+      `<div class="meta-field"><span class="mf-label">${l}</span><span class="mf-value${l === 'Peak Vector Sum' ? ' highlight' : ''}">${v}</span></div>`
+    ).join('') + statsHtml;
+  metaDiv.style.display = 'grid';
+}
+
+function togglePrintView() {
+  document.body.classList.toggle('print-view');
+  // Force chart redraw so axis/grid colors are re-evaluated against the
+  // new background.  Easiest: re-render the current event.
+  if (currentEventId) {
+    loadEvent(currentEventId);
+  }
+}
+
+function renderWaveform(data) {
+  document.getElementById('empty-state').style.display = 'none';
+  const chartsDiv = document.getElementById('charts');
+  chartsDiv.style.display = 'flex';
+  chartsDiv.innerHTML = '';
+  Object.values(charts).forEach(c => c.destroy());
+  charts = {};
+
+  const channels = data.channels || {};
+  // time_axis is METADATA from sfm.plot.v1 — sample_rate, pretrig_samples,
+  // t0_ms (first-sample time relative to trigger; negative when pretrig
+  // exists), dt_ms.  Trigger is at t=0 by convention.
+  const ta    = data.time_axis || {};
+  const sr    = ta.sample_rate || 1024;
+  const dtMs  = ta.dt_ms || (1000.0 / sr);
+  const t0Ms  = ta.t0_ms != null ? ta.t0_ms : 0;
+  const isPrintMode = document.body.classList.contains('print-view');
+  // Histograms record per-interval peaks (typically 1 per minute/5-min),
+  // not per-sample waveforms.  Render as a tight bar graph instead of a
+  // line plot — matches the BW Event Report's histogram presentation.
+  const isHistogram = String(data.record_type || '').toLowerCase().includes('histogram');
+
+  // Which channels actually have data → determines which one renders the
+  // shared x-axis at the bottom (Instantel printout has the time scale
+  // only on the bottom-most chart).
+  const channelsWithData = CHANNEL_ORDER.filter(ch =>
+    channels[ch] && (channels[ch].values || []).length > 0
+  );
+  const lastDataCh = channelsWithData[channelsWithData.length - 1];
+
+  const micUnit = _getMicUnit();
+  for (const ch of CHANNEL_ORDER) {
+    const chData = channels[ch];
+    if (!chData) continue;
+    if ((chData.values || []).length === 0) {
+      // Render an empty card so user sees the channel exists but is missing
+      const wrap = document.createElement('div');
+      wrap.className = 'chart-wrap';
+      wrap.innerHTML = `
+        <div class="chart-label ch-${ch.toLowerCase()}">
+          <span>${ch}</span>
+          <span style="color:#484f58">no samples decoded</span>
+        </div>
+        <div class="chart-canvas-wrap" style="display:flex;align-items:center;justify-content:center;color:#484f58;font-size:12px">empty</div>
+      `;
+      chartsDiv.appendChild(wrap);
+      continue;
+    }
+
+    // Mic channel: convert from raw psi to dB(L) when the user prefers dBL
+    // (the default).  We mutate `values`, `peak`, and `unit` locally so the
+    // chart datasets + axis title + tooltip + peak label all stay aligned.
+    let values = chData.values || [];
+    let unit  = chData.unit || 'unit';
+    let peak  = chData.peak;
+    const peakT = chData.peak_t_ms;
+    if (ch === 'MicL' && unit === 'psi' && micUnit === 'dBL') {
+      // Per-sample chart uses rectified-and-floored conversion so the
+      // baseline is continuous; the peak label uses the unrectified
+      // converter to preserve the true measurement.
+      values = values.map(_psiToDblForChart);
+      peak   = _psiToDbl(peak);
+      unit   = 'dB(L)';
+    }
+
+    const peakLabel = peak != null
+      ? `peak ${_fmtPeak(peak, unit)}`
+        + (!isHistogram && peakT != null ? ` @ ${peakT.toFixed(1)} ms` : '')
+      : '';
+    // Hide x-axis on every chart except the bottom-most data channel —
+    // gives the "single shared time axis" feel of the BW printout.
+    const showXAxis = (ch === lastDataCh);
+
+    const wrap = document.createElement('div');
+    wrap.className = 'chart-wrap';
+    const lbl = document.createElement('div');
+    lbl.className = `chart-label ch-${ch.toLowerCase()}`;
+    lbl.innerHTML = `<span>${ch}</span><span style="color:#8b949e;font-weight:normal">${peakLabel}</span>`;
+    wrap.appendChild(lbl);
+
+    const canvasWrap = document.createElement('div');
+    canvasWrap.className = 'chart-canvas-wrap';
+    const canvas = document.createElement('canvas');
+    canvasWrap.appendChild(canvas);
+    wrap.appendChild(canvasWrap);
+    chartsDiv.appendChild(wrap);
+
+    // Waveform: per-sample time in ms relative to trigger (negative for pretrig).
+    // Histogram: when the server has aggregated to BW-reported intervals AND
+    // provides per-interval timestamps, use those as x-axis labels (HH:MM:SS).
+    // Falls back to interval index.
+    let times;
+    if (isHistogram) {
+      const intervalTimes = ta.interval_times || [];
+      times = (intervalTimes.length === values.length)
+        ? intervalTimes
+        : values.map((_, i) => i + 1);
+    } else {
+      times = values.map((_, i) => t0Ms + i * dtMs);
+    }
+
+    // Downsample for rendering
+    const MAX_POINTS = 4000;
+    let rT = times, rV = values;
+    if (values.length > MAX_POINTS) {
+      const step = Math.ceil(values.length / MAX_POINTS);
+      rT = times.filter((_, i) => i % step === 0);
+      rV = values.filter((_, i) => i % step === 0);
+    }
+
+    // Tick formatter — round to 1 decimal so we don't get
+    // "11.7187040000000002 ms" garbage from floating-point accumulation.
+    const xAxisUnit = isHistogram ? '' : ' ms';
+    const fmtTick = i => {
+      const v = rT[i];
+      if (typeof v !== 'number') return String(v) + xAxisUnit;
+      return (Number.isInteger(v) ? String(v) : v.toFixed(1)) + xAxisUnit;
+    };
+
+    // Y-axis bounds.  Geophone waveforms render symmetric around zero
+    // (seismograph convention — zero line in the middle, signal goes
+    // up AND down).  Mic + histograms keep default auto-scale (always
+    // positive values; zero at the bottom).
+    let yBounds = {};
+    const isGeo = ch !== 'MicL';
+    if (isGeo && !isHistogram) {
+      // Waveform geo: symmetric around zero for full shape detail.
+      let absMax = 0;
+      for (const v of values) {
+        const a = Math.abs(v);
+        if (a > absMax) absMax = a;
+      }
+      const padded = (absMax || 1) * 1.10;
+      yBounds = { min: -padded, max: padded };
+    } else if (isGeo && isHistogram) {
+      // Histogram geo: enforce minimum chart range so quiet events
+      // look quiet (matches BW's near-fixed-scale convention).
+      const HIST_GEO_MIN_INS = 0.05;
+      let p = 0;
+      for (const v of values) { const a = Math.abs(v); if (a > p) p = a; }
+      yBounds = { min: 0, max: Math.max(p * 1.10, HIST_GEO_MIN_INS) };
+    } else if (ch === 'MicL' && micUnit === 'dBL') {
+      // Mic dBL: baseline at noise-floor minimum, top at peak + 5 dB.
+      const peakDbl = (typeof peak === 'number' && isFinite(peak))
+        ? peak + 5
+        : 100;
+      yBounds = { min: MIC_DBL_FLOOR, max: Math.max(peakDbl, MIC_DBL_FLOOR + 20) };
+    } else if (ch === 'MicL' && isHistogram && micUnit === 'psi') {
+      // Mic histogram in psi: same minimum-range treatment as geo.
+      const HIST_MIC_MIN_PSI = 0.001;
+      let p = 0;
+      for (const v of values) { const a = Math.abs(v); if (a > p) p = a; }
+      yBounds = { min: 0, max: Math.max(p * 1.10, HIST_MIC_MIN_PSI) };
+    }
+
+    const chart = new Chart(canvas, {
+      type: isHistogram ? 'bar' : 'line',
+      data: {
+        labels: rT.map(t => (typeof t === 'number' ? (Number.isInteger(t) ? String(t) : t.toFixed(2)) : t)),
+        datasets: isHistogram ? [{
+          data: rV,
+          backgroundColor: CHANNEL_COLORS[ch],
+          borderWidth: 0,
+          barPercentage: 1.0,
+          categoryPercentage: 1.0,  // bars touch — tight bargraph
+        }] : [{
+          data: rV,
+          borderColor: CHANNEL_COLORS[ch],
+          borderWidth: 1,
+          pointRadius: 0,
+          tension: 0,
+        }],
+      },
+      options: {
+        animation: false,
+        responsive: true,
+        maintainAspectRatio: false,
+        plugins: {
+          legend: { display: false },
+          tooltip: {
+            mode: 'index',
+            intersect: false,
+            callbacks: {
+              title: items => isHistogram
+                ? `interval ${items[0].label}`
+                : `t = ${items[0].label} ms`,
+              label: item => `${ch}: ${_fmtPeak(item.raw, unit)}`,
+            },
+          },
+        },
+        scales: {
+          x: {
+            type: 'category',
+            display: showXAxis,
+            ticks: {
+              color: isPrintMode ? '#666' : '#484f58',
+              maxTicksLimit: 10,
+              maxRotation: 0,
+              callback: (val, i) => fmtTick(i),
+            },
+            grid: { color: isPrintMode ? '#e0e0e0' : '#21262d', drawTicks: showXAxis },
+          },
+          y: {
+            ...yBounds,
+            ticks: { color: isPrintMode ? '#666' : '#484f58', maxTicksLimit: 5 },
+            grid: { color: isPrintMode ? '#e0e0e0' : '#21262d' },
+            title: { display: true, text: unit,
+                     color: isPrintMode ? '#666' : '#484f58', font: { size: 10 } },
+          },
+        },
+      },
+      plugins: isHistogram ? [] : [{
+        // Trigger line @ t=0 + triangle markers above/below + "0.0"
+        // baseline label on the right edge.  Matches the Instantel
+        // BW Event Report printout style.  Skipped for histograms —
+        // they have no trigger event.
+        id: 'instantelOverlays',
+        afterDraw(chart) {
+          const ctx   = chart.ctx;
+          const xAxis = chart.scales.x;
+          const yAxis = chart.scales.y;
+          const fgPrim = isPrintMode ? '#000' : '#c9d1d9';
+          const fgTrigger = '#f85149';
+
+          // Dashed vertical trigger line at t=0
+          const zeroIdx = rT.findIndex(t => parseFloat(t) >= 0);
+          if (zeroIdx >= 0) {
+            const x = xAxis.getPixelForValue(zeroIdx);
+            ctx.save();
+            ctx.beginPath();
+            ctx.moveTo(x, yAxis.top);
+            ctx.lineTo(x, yAxis.bottom);
+            ctx.strokeStyle = isPrintMode ? '#cc0000' : 'rgba(248, 81, 73, 0.8)';
+            ctx.lineWidth = 1.2;
+            ctx.setLineDash([4, 3]);
+            ctx.stroke();
+            ctx.restore();
+
+            // Triangles above and below the chart at the trigger column
+            ctx.save();
+            ctx.fillStyle = fgTrigger;
+            ctx.beginPath();  // top triangle pointing down
+            ctx.moveTo(x - 5, yAxis.top - 8);
+            ctx.lineTo(x + 5, yAxis.top - 8);
+            ctx.lineTo(x,     yAxis.top - 1);
+            ctx.closePath();
+            ctx.fill();
+            ctx.beginPath();  // bottom triangle pointing up
+            ctx.moveTo(x - 5, yAxis.bottom + 8);
+            ctx.lineTo(x + 5, yAxis.bottom + 8);
+            ctx.lineTo(x,     yAxis.bottom + 1);
+            ctx.closePath();
+            ctx.fill();
+            ctx.restore();
+          }
+
+          // "0.0" baseline label on the right edge — printout convention.
+          // Position vertically at the zero-amplitude level.
+          const zeroY = yAxis.getPixelForValue(0);
+          if (zeroY >= yAxis.top && zeroY <= yAxis.bottom) {
+            ctx.save();
+            ctx.strokeStyle = isPrintMode ? '#aaa' : '#30363d';
+            ctx.lineWidth = 0.8;
+            ctx.setLineDash([2, 2]);
+            ctx.beginPath();
+            ctx.moveTo(xAxis.left, zeroY);
+            ctx.lineTo(xAxis.right, zeroY);
+            ctx.stroke();
+            ctx.restore();
+
+            ctx.save();
+            ctx.fillStyle = fgPrim;
+            ctx.font = '11px monospace';
+            ctx.textAlign = 'left';
+            ctx.textBaseline = 'middle';
+            ctx.fillText('0.0', xAxis.right + 6, zeroY);
+            ctx.restore();
+          }
+        },
+      }],
+    });
+    charts[ch] = chart;
+  }
+}
+
+// Wire up handlers
+document.getElementById('serial-select').addEventListener('change', e => {
+  loadEventsForSerial(e.target.value);
+});
+document.getElementById('event-filter').addEventListener('input', applyFilter);
+
+// Reflect any persisted mic-unit preference in the header pill on load
+_refreshMicUnitToggle();
+
+// Initial load
+loadSerials();
+</script>
+</body>
+</html>

sfm/import_bw.py

@@ -166,6 +166,7 @@ def main(argv: list[str] | None = None) -> int:
                     {ev._waveform_key.hex(): rec}
                     if ev._waveform_key else None
                 ),
+                device_family="series3",
             )
             tag = "OK  " if ins else ("SKIP" if sk else "OK  ")
             print(f"  [{tag}] {path.name}  → {rec['filename']}  "

sfm/report_pdf.py

@@ -0,0 +1,939 @@
+"""
+sfm/report_pdf.py — generate Instantel-style Event Report PDFs.
+
+Stub layout for v0.20.0 — the exact visual is iterated against actual
+Blastware reference PDFs (uploaded to docs/reference/instantel/).
+Current output captures all the data fields a real BW Event Report
+contains, but the visual hierarchy / spacing is still approximate.
+
+Architecture
+────────────
+1. ``gather_report_data(event_id)`` — assembles a flat dict from three
+   sources: the SeismoDb events row, the .sfm.json sidecar (bw_report
+   block), and the .h5 waveform samples.  Returns ``None`` when the
+   event doesn't exist or has no waveform data on disk.
+
+2. ``render_event_report_pdf(data)`` — takes that dict and produces a
+   single-page letter-sized PDF as bytes, using matplotlib's PDF
+   backend (vector output, no rasterization, prints cleanly).
+
+3. The HTTP endpoint at ``/db/events/{id}/report.pdf`` wires them
+   together: fetch event → gather → render → stream bytes back with
+   ``Content-Type: application/pdf``.
+
+What's in the report (every field BW's printout includes):
+
+  Header (left):  Date/Time, Trigger Source, Range, Sample Rate, Notes,
+                  Project, Client, User Name, Seis. Loc
+  Header (right): Serial + firmware, Battery, Calibration, File Name,
+                  Post Event Notes
+  Mic block:      PSPL (dBL + psi), ZC Freq, Channel Test result
+  Stats table:    per-channel PPV / ZC Freq / Time of Peak /
+                  Peak Acceleration / Peak Displacement / Sensor Check
+  Peak Vector Sum
+  Waveform plot:  4 channels stacked (MicL/Long/Vert/Tran), shared
+                  time axis, trigger marker, peak markers
+  USBM RI8507/OSMRE compliance chart:  STUBBED — separate work item
+
+Histogram events: the layout differs (Number of Intervals header
+field, no trigger marker, per-interval bar chart instead of waveform).
+Handled via a record_type branch in ``render_event_report_pdf``.
+"""
+
+from __future__ import annotations
+
+import io
+import json
+import logging
+import math
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Optional
+
+import matplotlib
+matplotlib.use("Agg")   # headless — no display required
+import matplotlib.pyplot as plt
+import numpy as np
+from matplotlib.backends.backend_pdf import PdfPages
+
+log = logging.getLogger(__name__)
+
+
+# Reference pressure for dB(L) conversion: 20 µPa expressed in psi.
+DBL_REF_PSI = 2.9e-9
+
+
+# ── Data assembly ────────────────────────────────────────────────────────────
+
+
+@dataclass
+class ReportData:
+    """All fields needed to render an Instantel-style Event Report.
+
+    Most fields are Optional — BW's printout shows '—' or just omits
+    sections when source data is missing.  The renderer mirrors that.
+    """
+    # Header — left column
+    event_datetime_str: Optional[str] = None
+    trigger_source:     Optional[str] = None
+    geo_range_str:      Optional[str] = None
+    sample_rate_str:    Optional[str] = None
+    notes:              Optional[str] = None
+    project:            Optional[str] = None
+    client:             Optional[str] = None
+    operator:           Optional[str] = None
+    sensor_location:    Optional[str] = None
+
+    # Header — right column
+    serial:                 Optional[str] = None
+    firmware:               Optional[str] = None
+    battery_volts:          Optional[float] = None
+    calibration_date:       Optional[str] = None
+    calibration_by:         Optional[str] = None
+    file_name:              Optional[str] = None
+    post_event_notes:       Optional[str] = None
+
+    # Microphone block
+    mic_pspl_dbl:           Optional[float] = None
+    mic_pspl_psi:           Optional[float] = None
+    mic_pspl_time_s:        Optional[float] = None
+    mic_pspl_when_str:      Optional[str] = None    # histogram absolute date+time, BW-formatted
+    mic_zc_freq_hz:         Optional[float] = None
+    mic_zc_freq_above_range: bool           = False
+    mic_channel_test_result: Optional[str] = None
+    mic_channel_test_freq_hz: Optional[float] = None
+    mic_channel_test_amp_mv: Optional[float] = None
+
+    # Per-channel stats — list of dicts (one per channel)
+    # Keys: name, ppv_ips, zc_freq_hz, time_of_peak_s,
+    #       peak_accel_g, peak_disp_in, sensor_check
+    channel_stats:          list[dict] = field(default_factory=list)
+
+    # Peak Vector Sum
+    peak_vector_sum_ips:    Optional[float] = None
+    peak_vector_sum_time_s: Optional[float] = None
+
+    # Waveform samples — channels[ch] = list of floats in physical units
+    # Time axis derived from sample_rate + pretrig_samples
+    channels:               dict = field(default_factory=dict)
+    sample_rate_sps:        Optional[int] = None
+    pretrig_samples:        Optional[int] = None
+    t0_ms:                  Optional[float] = None
+    dt_ms:                  Optional[float] = None
+
+    # Record-type discriminator
+    record_type:            Optional[str] = None
+    is_histogram:           bool = False
+
+    # Histogram-only fields — only populated for record_type starts with 'Hist'
+    histogram_start_str:    Optional[str] = None       # "22:30:38 May 16, 2026"
+    histogram_stop_str:     Optional[str] = None
+    histogram_n_intervals:  Optional[float] = None     # 4.00
+    histogram_interval_size: Optional[str] = None      # "1 minute"
+    histogram_interval_size_s: Optional[float] = None  # 60.0 — numeric seconds, used to derive interval_times
+    histogram_interval_times: list[str] = field(default_factory=list)  # per-interval timestamps for x-axis
+
+    # Peak Vector Sum metadata (histograms show absolute date+time)
+    peak_vector_sum_when_str: Optional[str] = None
+
+    # Bookkeeping
+    event_id:               Optional[str] = None
+    server_received_at:     Optional[str] = None
+    bw_pc_sw_version:       Optional[str] = None
+
+
+def gather_report_data(
+    db,
+    store,
+    event_id: str,
+) -> Optional[ReportData]:
+    """Collect every field needed to render an event report.
+
+    Returns ``None`` if the event is unknown or has no waveform data
+    on disk (no .h5, no .a5.pkl — same condition the waveform.json
+    endpoint 404s on).
+    """
+    row = db.get_event(event_id)
+    if row is None:
+        return None
+    serial   = row.get("serial")
+    filename = row.get("blastware_filename")
+    if not serial or not filename:
+        return None
+
+    rd = ReportData(
+        event_id=event_id,
+        serial=serial,
+        file_name=filename,
+        record_type=row.get("record_type"),
+        is_histogram=str(row.get("record_type", "")).lower().startswith("hist"),
+        event_datetime_str=row.get("timestamp"),
+        sample_rate_sps=row.get("sample_rate"),
+        project=row.get("project"),
+        client=row.get("client"),
+        operator=row.get("operator"),
+        sensor_location=row.get("sensor_location"),
+        server_received_at=row.get("created_at"),
+    )
+
+    # ── Sidecar bw_report — the rich BW-derived fields ──
+    sidecar_path = store.sidecar_path_for(serial, filename)
+    if sidecar_path.exists():
+        try:
+            sc = json.loads(sidecar_path.read_text())
+        except Exception as exc:
+            log.warning("gather_report_data: sidecar read failed: %s", exc)
+            sc = {}
+        bw = sc.get("bw_report") or {}
+
+        # Trigger / range / sample-rate display
+        trig = bw.get("trigger") or {}
+        rd.trigger_source = (
+            f"{trig.get('channel','')}: {trig.get('geo_level_ips')} in/s"
+            if trig.get("channel") or trig.get("geo_level_ips") is not None
+            else None
+        )
+        rec = bw.get("recording") or {}
+        rd.geo_range_str = (
+            f"Geo: {rec.get('geo_range_ips')} in/s"
+            if rec.get("geo_range_ips") is not None else None
+        )
+        rt = rec.get("record_time_s")
+        if rt is not None and rd.sample_rate_sps:
+            rd.sample_rate_str = f"{rt:.1f} sec At {rd.sample_rate_sps} Sps"
+
+        # Device block
+        dev = bw.get("device") or {}
+        rd.battery_volts    = dev.get("battery_volts")
+        rd.calibration_date = dev.get("calibration_date")
+        rd.calibration_by   = dev.get("calibration_by")
+        rd.firmware         = bw.get("version")
+        rd.bw_pc_sw_version = bw.get("pc_sw_version")
+
+        # Microphone block
+        mic = bw.get("mic") or {}
+        rd.mic_pspl_dbl    = mic.get("pspl_dbl")
+        if rd.mic_pspl_dbl is not None and rd.mic_pspl_dbl > 0:
+            # Inverse of the dBL formula → psi.  Mirrors waveform_codec convention.
+            rd.mic_pspl_psi = DBL_REF_PSI * (10 ** (rd.mic_pspl_dbl / 20))
+        rd.mic_pspl_time_s = mic.get("time_of_peak_s")
+        rd.mic_zc_freq_hz             = mic.get("zc_freq_hz")
+        rd.mic_zc_freq_above_range    = bool(mic.get("zc_freq_above_range"))
+        sc_mic = (bw.get("sensor_check") or {}).get("mic") or {}
+        rd.mic_channel_test_result   = sc_mic.get("result")
+        rd.mic_channel_test_freq_hz  = sc_mic.get("freq_hz")
+        rd.mic_channel_test_amp_mv   = sc_mic.get("amplitude_mv")
+
+        # Per-channel stats (Tran / Vert / Long).  Per-channel peak
+        # date+time for histograms comes from bw_report.histogram.channel_peak_when
+        # (populated when the parser captured it; see the bw_ascii_report
+        # parser's histogram-fields handler).
+        peaks = bw.get("peaks") or {}
+        sc_block = bw.get("sensor_check") or {}
+        hist_block = bw.get("histogram") or {}
+        peak_when = hist_block.get("channel_peak_when") or {}
+        for ch_lc, ch_label in (("tran", "Tran"), ("vert", "Vert"), ("long", "Long")):
+            ch = peaks.get(ch_lc) or {}
+            sc_ch = sc_block.get(ch_lc) or {}
+            ch_when_iso = peak_when.get(ch_label)
+            peak_date, peak_time = _split_iso_to_date_time(ch_when_iso)
+            rd.channel_stats.append({
+                "name":               ch_label,
+                "ppv_ips":            ch.get("ppv_ips"),
+                "zc_freq_hz":         ch.get("zc_freq_hz"),
+                "zc_freq_above_range": bool(ch.get("zc_freq_above_range")),
+                "time_of_peak_s":     ch.get("time_of_peak_s"),
+                "peak_accel_g":       ch.get("peak_accel_g"),
+                "peak_disp_in":       ch.get("peak_disp_in"),
+                "sensor_check":       sc_ch.get("result"),
+                "peak_date":          peak_date,
+                "peak_time":          peak_time,
+            })
+
+        # MicL peak time (used in the mic block — "PSPL ... on DATE at TIME")
+        mic_when_iso = peak_when.get("MicL")
+        rd.mic_pspl_when_str = _fmt_iso_to_bw(mic_when_iso) if mic_when_iso else None
+
+        # Peak Vector Sum
+        vs = peaks.get("vector_sum") or {}
+        rd.peak_vector_sum_ips    = vs.get("ips")
+        rd.peak_vector_sum_time_s = vs.get("time_s")
+        # PVS absolute date+time (histograms).  Same formatting as Mic.
+        pvs_when_iso = vs.get("when")
+        rd.peak_vector_sum_when_str = _fmt_iso_to_bw(pvs_when_iso) if pvs_when_iso else None
+
+        # Histogram-specific header fields — keys match the projection in
+        # _bw_report_to_dict ("start" / "stop", not "_str" suffixed).
+        if rd.is_histogram:
+            rd.histogram_start_str   = hist_block.get("start") or rd.event_datetime_str
+            rd.histogram_stop_str    = hist_block.get("stop")
+            rd.histogram_n_intervals = hist_block.get("n_intervals")
+            rd.histogram_interval_size = hist_block.get("interval_size")
+            rd.histogram_interval_size_s = hist_block.get("interval_size_s")
+            rd.histogram_interval_times = hist_block.get("interval_times") or []
+
+    # ── Waveform samples — from the .h5 via the existing helper ──
+    from sfm import event_hdf5
+    h5_path = store.hdf5_path_for(serial, filename)
+    if h5_path.exists():
+        try:
+            wf = event_hdf5.plot_json_from_hdf5(h5_path, event_id=event_id)
+            rd.channels = {
+                ch: (chd.get("values") or [])
+                for ch, chd in (wf.get("channels") or {}).items()
+            }
+            ta = wf.get("time_axis") or {}
+            rd.sample_rate_sps  = rd.sample_rate_sps or ta.get("sample_rate")
+            rd.pretrig_samples  = ta.get("pretrig_samples")
+            rd.t0_ms            = ta.get("t0_ms")
+            rd.dt_ms            = ta.get("dt_ms")
+        except Exception as exc:
+            log.warning("gather_report_data: hdf5 read failed: %s", exc)
+
+    # ── Histogram aggregation ──
+    # Codec emits ~N per-block samples (typically 1/sec); BW reports
+    # one bar per configured interval (1 min / 5 min / etc.).  When
+    # bw_report.histogram.n_intervals is populated (events ingested
+    # with the parser extension), group max-per-group to match.  Also
+    # derives per-interval timestamps for the x-axis.  No-op for
+    # waveform events or when n_intervals is missing.
+    if rd.is_histogram and rd.histogram_n_intervals and rd.histogram_n_intervals >= 1:
+        n = int(rd.histogram_n_intervals)
+        for ch, vals in list(rd.channels.items()):
+            if not vals:
+                continue
+            per_group = len(vals) // n
+            remainder = len(vals) % n
+            agg: list = []
+            offset = 0
+            for i in range(n):
+                grp_size = per_group + (1 if i < remainder else 0)
+                if grp_size > 0:
+                    grp = vals[offset:offset + grp_size]
+                    agg.append(max((abs(v) for v in grp if v is not None), default=0))
+                    offset += grp_size
+                else:
+                    agg.append(0)
+            rd.channels[ch] = agg
+        # Derive per-interval HH:MM:SS labels if we have the start time + size
+        if rd.histogram_start_str and rd.histogram_interval_size_s and not rd.histogram_interval_times:
+            try:
+                import datetime as _dt
+                start = _dt.datetime.fromisoformat(rd.histogram_start_str)
+                rd.histogram_interval_times = [
+                    (start + _dt.timedelta(seconds=(i + 1) * rd.histogram_interval_size_s)).strftime("%H:%M:%S")
+                    for i in range(n)
+                ]
+            except Exception:
+                pass
+
+    return rd
+
+
+# ── PDF rendering ────────────────────────────────────────────────────────────
+
+
+def render_event_report_pdf(rd: ReportData) -> bytes:
+    """Render an event report dict to a single-page letter PDF.
+
+    Branches on ``rd.is_histogram`` — waveform and histogram layouts
+    differ in their header fields, stats-table rows, and bottom plot.
+    Layout modeled on Blastware's Event Report PDFs (samples in
+    docs/reference/instantel/).
+    """
+    # Letter portrait — 8.5"×11"
+    fig = plt.figure(figsize=(8.5, 11), dpi=100)
+    fig.patch.set_facecolor("white")
+
+    if rd.is_histogram:
+        _render_histogram_layout(fig, rd)
+    else:
+        _render_waveform_layout(fig, rd)
+
+    # Page footer (common to both layouts) — Created date + event id.
+    # Pushed to the very page bottom so it doesn't collide with the
+    # waveform footer scale / trigger legend lines just above.
+    # Convert UTC server_received_at to local for display.
+    created_local = _fmt_iso_to_bw(rd.server_received_at) if rd.server_received_at else "—"
+    fig.text(
+        0.07, 0.005,
+        f"Created: {created_local}  •  seismo-relay",
+        fontsize=6, color="#888", ha="left",
+    )
+    fig.text(
+        0.93, 0.005,
+        f"Event {rd.event_id[:8] if rd.event_id else '—'}",
+        fontsize=6, color="#888", ha="right",
+    )
+
+    buf = io.BytesIO()
+    fig.savefig(buf, format="pdf")
+    plt.close(fig)
+    return buf.getvalue()
+
+
+def _render_waveform_layout(fig, rd: ReportData) -> None:
+    """Waveform layout: header / mic+USBM / per-channel stats / waveform plot.
+
+    Stats table includes Time (Rel. to Trig), Peak Accel, Peak Disp.
+    Left margin sized to fit the channel labels (MicL/Long/Vert/Tran).
+    Extra bottom margin reserves space for x-axis tick labels +
+    "Amplitude Geo: X in/s/div Mic: Y psi(L)/div" footer + trigger
+    legend without overlap.
+    """
+    gs = fig.add_gridspec(
+        nrows=4, ncols=1,
+        left=0.11, right=0.94, top=0.97, bottom=0.12,
+        height_ratios=[1.7, 2.0, 1.8, 5.5],
+        hspace=0.35,
+    )
+    ax_header = fig.add_subplot(gs[0]); ax_header.axis("off")
+    _draw_header_waveform(ax_header, rd)
+
+    ax_mid = fig.add_subplot(gs[1]); ax_mid.axis("off")
+    _draw_mic_and_usbm(ax_mid, rd)
+
+    ax_stats = fig.add_subplot(gs[2]); ax_stats.axis("off")
+    _draw_channel_stats_waveform(ax_stats, rd)
+
+    _draw_waveform_subplot(fig, gs[3], rd)
+
+
+def _render_histogram_layout(fig, rd: ReportData) -> None:
+    """Histogram layout: header / mic-only / per-channel stats / bar plot.
+
+    No USBM compliance chart (it's a waveform-only concept).  Stats table
+    uses Date + Time-of-peak instead of relative-time + accel + disp.
+    Left margin sized to fit the channel labels.  Extra bottom margin
+    leaves room for the x-axis time labels + footer scale legend
+    without overlap.
+    """
+    gs = fig.add_gridspec(
+        nrows=4, ncols=1,
+        left=0.11, right=0.94, top=0.97, bottom=0.12,
+        height_ratios=[1.8, 0.9, 1.7, 5.6],
+        hspace=0.35,
+    )
+    ax_header = fig.add_subplot(gs[0]); ax_header.axis("off")
+    _draw_header_histogram(ax_header, rd)
+
+    ax_mic = fig.add_subplot(gs[1]); ax_mic.axis("off")
+    _draw_mic_only(ax_mic, rd)
+
+    ax_stats = fig.add_subplot(gs[2]); ax_stats.axis("off")
+    _draw_channel_stats_histogram(ax_stats, rd)
+
+    _draw_histogram_subplot(fig, gs[3], rd)
+
+
+def _to_display_local(iso: str):
+    """Parse an ISO timestamp and return a datetime in the system's local
+    timezone (set by the TZ env var, default America/New_York via the
+    Dockerfile).
+
+    Behaviour:
+      - "...Z" or "...+HH:MM" suffix → tz-aware UTC → converted to local
+      - Naïve "YYYY-MM-DDTHH:MM:SS" (no tz) → returned as-is.  This
+        matches the convention used elsewhere in seismo-relay: BW's
+        recorded-at timestamps are naïve and ALREADY in the unit's
+        local clock; we don't second-guess them.
+    """
+    import datetime as _dt
+    dt = _dt.datetime.fromisoformat(iso.replace("Z", "+00:00"))
+    if dt.tzinfo is not None:
+        # Convert from UTC (or other tz) → local per the TZ env var.
+        # astimezone() without arg uses the system timezone.
+        dt = dt.astimezone()
+    return dt
+
+
+def _fmt_iso_to_bw(iso: Optional[str]) -> Optional[str]:
+    """Convert an ISO-8601 timestamp to BW's display format
+    '22:30:37 May 16, 2026'.  UTC inputs (with Z suffix) are
+    converted to the system's local timezone first; naïve inputs
+    are formatted as-is.  Returns input unchanged on parse failure."""
+    if not iso or "T" not in iso:
+        return iso
+    try:
+        return _to_display_local(iso).strftime("%H:%M:%S %B %d, %Y").replace(" 0", " ")
+    except Exception:
+        return iso
+
+
+def _split_iso_to_date_time(iso: Optional[str]) -> tuple[Optional[str], Optional[str]]:
+    """Split an ISO timestamp into BW-formatted ('May 27 /26', '06:06:14')
+    date+time strings.  Used for the histogram stats table where the
+    Date and Time rows are presented separately.  UTC inputs are
+    converted to local time first.  Returns (None, None) on parse failure."""
+    if not iso:
+        return (None, None)
+    try:
+        dt = _to_display_local(iso)
+        # BW format: 'May 27 /26' (3-letter month + 2-digit year)
+        date_str = dt.strftime("%b %d /%y").replace(" 0", " ")
+        time_str = dt.strftime("%H:%M:%S")
+        return (date_str, time_str)
+    except Exception:
+        return (None, None)
+
+
+def _kv(ax, x, y, label, value, *, label_w=0.18):
+    """Render a 'Label  Value' row at axes-coordinates (x, y)."""
+    ax.text(x, y, label, fontsize=8, color="#555", ha="left", va="top",
+            transform=ax.transAxes)
+    ax.text(x + label_w, y, _fmt(value), fontsize=8, ha="left", va="top",
+            transform=ax.transAxes, family="monospace")
+
+
+def _fmt(v):
+    """Format any field for display — '—' for None, str otherwise."""
+    if v is None:
+        return "—"
+    if isinstance(v, float):
+        return f"{v:.4f}".rstrip("0").rstrip(".")
+    return str(v)
+
+
+def _draw_header_waveform(ax, rd: ReportData) -> None:
+    """Two-column metadata header — waveform variant."""
+    rows_left = [
+        ("Date/Time",      _fmt_iso_to_bw(rd.event_datetime_str)),
+        ("Trigger Source", rd.trigger_source),
+        ("Range",          rd.geo_range_str),
+        ("Sample Rate",    rd.sample_rate_str),
+        ("Notes",          rd.notes),
+        ("Project:",       rd.project),
+        ("Client:",        rd.client),
+        ("User Name:",     rd.operator),
+        ("Seis. Loc:",     rd.sensor_location),
+    ]
+    _draw_header_columns(ax, rows_left, rd)
+
+
+def _draw_header_histogram(ax, rd: ReportData) -> None:
+    """Two-column metadata header — histogram variant.
+
+    Histograms have Start / Finish / Intervals fields instead of
+    Trigger Source (there's no trigger event for a histogram capture).
+    """
+    intervals_str = None
+    if rd.histogram_n_intervals is not None and rd.histogram_interval_size:
+        intervals_str = f"{rd.histogram_n_intervals} At {rd.histogram_interval_size}"
+    rows_left = [
+        ("Start",      _fmt_iso_to_bw(rd.histogram_start_str or rd.event_datetime_str)),
+        ("Finish",     _fmt_iso_to_bw(rd.histogram_stop_str)),
+        ("Intervals",  intervals_str),
+        ("Range",      rd.geo_range_str),
+        ("Sample Rate", (f"{rd.sample_rate_sps} Sps" if rd.sample_rate_sps else None)),
+        ("Notes",      rd.notes),
+        ("Project:",   rd.project),
+        ("Client:",    rd.client),
+        ("User Name:", rd.operator),
+        ("Seis. Loc:", rd.sensor_location),
+    ]
+    _draw_header_columns(ax, rows_left, rd)
+
+
+def _draw_header_columns(ax, rows_left, rd: ReportData) -> None:
+    """Shared 2-column header rendering used by both layouts."""
+    rows_right = [
+        ("Serial Number", f"{rd.serial or '—'}" + (f"  {rd.firmware}" if rd.firmware else "")),
+        ("Battery Level", f"{rd.battery_volts:.1f} Volts" if rd.battery_volts is not None else None),
+        ("Unit Calibration", (f"{rd.calibration_date}" + (f" by {rd.calibration_by}" if rd.calibration_by else ""))
+                              if rd.calibration_date else None),
+        ("File Name", rd.file_name),
+        ("Post Event Notes", rd.post_event_notes),
+    ]
+    y = 0.95
+    dy = 0.095
+    for label, value in rows_left:
+        _kv(ax, 0.0, y, label, value, label_w=0.18)
+        y -= dy
+    y = 0.95
+    for label, value in rows_right:
+        _kv(ax, 0.55, y, label, value, label_w=0.20)
+        y -= dy
+
+
+def _draw_mic_only(ax, rd: ReportData) -> None:
+    """Mic block (histogram variant — no USBM chart)."""
+    ax.text(0.0, 0.95, "Microphone   Linear Weighting", fontsize=8, color="#555",
+            transform=ax.transAxes, va="top")
+    rows = _mic_rows(rd)
+    y = 0.70
+    for label, value in rows:
+        _kv(ax, 0.0, y, label, value, label_w=0.18)
+        y -= 0.22
+
+
+def _draw_mic_and_usbm(ax, rd: ReportData) -> None:
+    """Mic block on the left + USBM compliance chart placeholder on right.
+    (Waveform variant — USBM is a velocity-vs-frequency compliance plot
+    that doesn't apply to histograms.)"""
+    ax.text(0.0, 0.95, "Microphone   Linear Weighting", fontsize=8, color="#555",
+            transform=ax.transAxes, va="top")
+    rows = _mic_rows(rd)
+    y = 0.80
+    for label, value in rows:
+        _kv(ax, 0.0, y, label, value, label_w=0.18)
+        y -= 0.15
+
+    # USBM chart placeholder — upper-right.  Real piecewise compliance
+    # curves are a separate work item; for now this just shows the title
+    # + a "see report" message so the layout is correct.
+    ax.text(0.72, 0.97, "USBM RI8507 And OSMRE",
+            fontsize=9, weight="bold", color="#333", ha="center", va="top",
+            transform=ax.transAxes)
+    ax.text(0.72, 0.50, "[compliance chart\ncoming soon]",
+            fontsize=8, color="#bbb", ha="center", va="center",
+            transform=ax.transAxes, style="italic")
+
+
+def _mic_rows(rd: ReportData) -> list[tuple[str, Optional[str]]]:
+    """Build the mic-section value rows (shared by both layouts).
+
+    For histograms, BW formats the PSPL line as
+        "125.7 dB(L) on May 27, 2026 at 06:19:14"
+    (absolute date+time of peak).  Waveform events show the relative
+    "at 0.012 sec." instead.  Both formats covered here based on which
+    field is populated.
+    """
+    rows: list[tuple[str, Optional[str]]] = []
+    if rd.mic_pspl_dbl is not None:
+        line = f"{rd.mic_pspl_dbl:.1f} dB(L)"
+        if rd.mic_pspl_when_str:
+            # Histogram-style: "PSPL  125.7 dB(L) on May 27, 2026 at 06:19:14"
+            # mic_pspl_when_str is already "HH:MM:SS Month DD, YYYY";
+            # reformat to "on Month DD, YYYY at HH:MM:SS" for BW match.
+            parts = rd.mic_pspl_when_str.split(" ", 1)
+            if len(parts) == 2:
+                line += f" on {parts[1]} at {parts[0]}"
+            else:
+                line += f" on {rd.mic_pspl_when_str}"
+        elif rd.mic_pspl_time_s is not None:
+            # Waveform-style: relative-to-trigger seconds.
+            line += f" at {rd.mic_pspl_time_s:.3f} sec."
+        rows.append(("PSPL", line))
+    if rd.mic_zc_freq_hz is not None:
+        prefix = ">" if rd.mic_zc_freq_above_range else ""
+        rows.append(("ZC Freq", f"{prefix}{rd.mic_zc_freq_hz:.0f} Hz"))
+    if rd.mic_channel_test_result:
+        line = rd.mic_channel_test_result
+        if rd.mic_channel_test_freq_hz is not None and rd.mic_channel_test_amp_mv is not None:
+            line += (f" (Freq = {rd.mic_channel_test_freq_hz:.1f} Hz, "
+                     f"Amp = {rd.mic_channel_test_amp_mv:.0f} mv)")
+        rows.append(("Channel Test", line))
+    return rows
+
+
+def _draw_channel_stats_waveform(ax, rd: ReportData) -> None:
+    """Waveform stats table — has Time (Rel. to Trig), Peak Accel, Peak Disp.
+    Followed by Peak Vector Sum line."""
+    rows_spec = [
+        ("PPV",                  "ppv_ips",        "in/s"),
+        ("ZC Freq",              "zc_freq_hz",     "Hz"),
+        ("Time (Rel. to Trig)",  "time_of_peak_s", "sec"),
+        ("Peak Acceleration",    "peak_accel_g",   "g"),
+        ("Peak Displacement",    "peak_disp_in",   "in"),
+        ("Sensor Check",         "sensor_check",   ""),
+    ]
+    _draw_stats_table(ax, rd, rows_spec)
+    _draw_pvs_summary(ax, rd, n_data_rows=len(rows_spec))
+
+
+def _draw_channel_stats_histogram(ax, rd: ReportData) -> None:
+    """Histogram stats table — PPV, ZC Freq, Date, Time of peak, Sensor Check.
+    Followed by Peak Vector Sum line."""
+    # Date / Time of peak are per-channel timestamps for the interval at peak.
+    # bw_report stores time_of_peak_s as relative seconds, but for histograms
+    # BW shows them as absolute date+time.  We populate from rd.channel_stats
+    # if those absolute fields are present; otherwise fall back to relative.
+    rows_spec = [
+        ("PPV",          "ppv_ips",         "in/s"),
+        ("ZC Freq",      "zc_freq_hz",      "Hz"),
+        ("Date",         "peak_date",       ""),
+        ("Time",         "peak_time",       ""),
+        ("Sensor Check", "sensor_check",    ""),
+    ]
+    _draw_stats_table(ax, rd, rows_spec)
+    _draw_pvs_summary(ax, rd, n_data_rows=len(rows_spec), histogram_when=True)
+
+
+def _draw_pvs_summary(
+    ax,
+    rd: ReportData,
+    *,
+    n_data_rows: int,
+    histogram_when: bool = False,
+) -> None:
+    """Render the Peak Vector Sum + 'NA: Not Applicable' caption below the
+    stats table.
+
+    Reads ``ax._stats_table_bottom`` (set by ``_draw_stats_table`` when
+    it pins the table via an explicit ``bbox``) so the PVS line lands
+    just below the table's known bottom edge instead of guessing at the
+    geometry.
+
+    Centered horizontally for visual balance (the previous left-aligned
+    x=0 landed under the label column, not the data, which looked off).
+    """
+    if rd.peak_vector_sum_ips is None:
+        return
+
+    line = f"Peak Vector Sum   {rd.peak_vector_sum_ips:.3f} in/s"
+    if histogram_when and rd.peak_vector_sum_when_str:
+        # Histogram absolute date+time.  when_str is "HH:MM:SS Month DD, YYYY";
+        # reformat to "<value> on <date> At <time>" to match BW.
+        parts = rd.peak_vector_sum_when_str.split(" ", 1)
+        if len(parts) == 2:
+            line += f" on {parts[1]} At {parts[0]}"
+        else:
+            line += f" on {rd.peak_vector_sum_when_str}"
+    elif not histogram_when and rd.peak_vector_sum_time_s is not None:
+        line += f" At {rd.peak_vector_sum_time_s:.3f} sec."
+
+    # _draw_stats_table stashes the bbox bottom on the axes so we don't
+    # have to guess geometry.  Falls back to a conservative default if
+    # the bbox approach hasn't run.
+    table_bottom_y = getattr(ax, "_stats_table_bottom", -0.10)
+    pvs_y = table_bottom_y - 0.04   # small gap below the table border
+
+    # Centered for visual balance — looks intentional rather than offset.
+    # The original BW-replica had a "NA: Not Applicable" caption below
+    # this line; dropped because we use "—" for missing values and the
+    # legend was always squished against the PVS line.
+    ax.text(0.5, pvs_y, line, fontsize=9, weight="bold",
+            ha="center", va="top", transform=ax.transAxes)
+
+
+def _draw_stats_table(ax, rd: ReportData, rows_spec: list[tuple[str, str, str]]) -> None:
+    """Render a per-channel stats table (Tran/Vert/Long).
+
+    rows_spec: list of (label, field_name_in_channel_stats, unit_string)
+    """
+    headers = ["", "Tran", "Vert", "Long", ""]
+    ch_lookup = {c["name"]: c for c in rd.channel_stats}
+
+    def _cell(field, ch_name):
+        ch_rec = ch_lookup.get(ch_name, {})
+        val = ch_rec.get(field)
+        if val is None:
+            return "—"
+        if isinstance(val, float):
+            # ZC Freq is integer-formatted in BW; ">100 Hz" sentinel
+            # rendered as ">N" (val carries the threshold).  Everything
+            # else gets 3 decimals.
+            if field == "zc_freq_hz":
+                prefix = ">" if ch_rec.get("zc_freq_above_range") else ""
+                return f"{prefix}{val:.0f}"
+            return f"{val:.3f}"
+        return str(val)
+
+    table_data = [headers]
+    for label, field_name, unit in rows_spec:
+        table_data.append([
+            label,
+            _cell(field_name, "Tran"),
+            _cell(field_name, "Vert"),
+            _cell(field_name, "Long"),
+            unit,
+        ])
+    # Pin the table's position+size via bbox so we know exactly where
+    # the bottom edge lands.  Lets _draw_pvs_summary place the PVS line
+    # just below the table without guessing at row heights.
+    #
+    # bbox = [x, y, width, height] in axes coords.  Header + data rows
+    # at row_h each; horizontal extent matches sum(colWidths).
+    n_rows = len(table_data)        # header + data rows
+    row_h  = 0.12                   # axes-fraction per row (fits fontsize=8)
+    table_height = n_rows * row_h
+    table_bottom = 1.0 - table_height
+    tbl = ax.table(
+        cellText=table_data,
+        colWidths=[0.28, 0.14, 0.14, 0.14, 0.10],
+        cellLoc="left", edges="open",
+        bbox=[0.0, table_bottom, 0.80, table_height],
+    )
+    tbl.auto_set_font_size(False)
+    tbl.set_fontsize(8)
+    for j in range(5):
+        tbl[(0, j)].set_text_props(weight="bold", color="#555")
+    # Stash the bottom Y so _draw_pvs_summary can position itself below.
+    ax._stats_table_bottom = table_bottom
+
+
+def _channel_axis_color(ch: str) -> str:
+    return {"MicL": "#cc00cc", "Long": "#0066ff", "Vert": "#009933", "Tran": "#cc0000"}.get(ch, "#444")
+
+
+def _draw_waveform_subplot(fig, gridspec_cell, rd: ReportData) -> None:
+    """4-channel stacked waveform plot — Instantel printout order
+    (MicL on top, Tran on bottom), shared x-axis in SECONDS, trigger
+    triangle markers at t=0, '0.0' baseline label on right of each."""
+    inner = gridspec_cell.subgridspec(4, 1, hspace=0.0)
+    order = ["MicL", "Long", "Vert", "Tran"]
+    sr = rd.sample_rate_sps or 1024
+    # Convert ms-based time axis to seconds for the x-axis
+    dt_s = (rd.dt_ms or (1000.0 / sr)) / 1000.0
+    t0_s = (rd.t0_ms if rd.t0_ms is not None else 0.0) / 1000.0
+
+    last_idx = len(order) - 1
+    for i, ch in enumerate(order):
+        ax = fig.add_subplot(inner[i])
+        values = rd.channels.get(ch) or []
+        times = [t0_s + j * dt_s for j in range(len(values))]
+
+        if values:
+            color = _channel_axis_color(ch)
+            ax.plot(times, values, color=color, linewidth=0.5)
+            # Symmetric y-axis for geo; zero-anchored for mic.
+            if ch != "MicL":
+                amax = max((abs(v) for v in values), default=0.001)
+                ax.set_ylim(-amax * 1.10, amax * 1.10)
+            else:
+                amax = max((abs(v) for v in values), default=0.001)
+                ax.set_ylim(-amax * 1.10, amax * 1.10)
+
+        # Channel label on the LEFT (matches BW)
+        ax.set_ylabel(ch, fontsize=8, rotation=0, ha="right", va="center",
+                      color=_channel_axis_color(ch), weight="bold", labelpad=14)
+        # "0.0" on the RIGHT (BW convention)
+        ax.text(1.005, 0.5, "0.0", transform=ax.transAxes,
+                fontsize=7, color="#555", va="center", ha="left")
+
+        ax.grid(True, linestyle="--", linewidth=0.3, color="#bbb", alpha=0.6)
+        # Vertical dashed trigger line at t=0
+        ax.axvline(0.0, color="#cc0000", linestyle="--", linewidth=0.6, alpha=0.7)
+        # Zero baseline horizontal
+        ax.axhline(0.0, color=_channel_axis_color(ch), linestyle="-",
+                   linewidth=0.4, alpha=0.5)
+
+        if i != last_idx:
+            ax.set_xticklabels([])
+            ax.tick_params(axis="x", length=0)
+        else:
+            ax.tick_params(axis="x", labelsize=7)
+        ax.tick_params(axis="y", labelsize=6)
+
+    # Trigger triangle marker ▼ above the top channel at t=0
+    top_ax = fig.axes[-4]  # MicL is the first added in this gridspec
+    top_ax.plot([0], [top_ax.get_ylim()[1]], marker="v", color="black",
+                markersize=8, clip_on=False, zorder=10)
+
+    # Compute scale-per-division for the footer (10 divs across the chart)
+    # and find peak geo amplitude for the geo amp/div setting.
+    total_s = times[-1] - times[0] if values else 0
+    div_s = total_s / 10 if total_s > 0 else 0
+    geo_amp_div = "—"
+    for ch in ("Tran", "Vert", "Long"):
+        v = rd.channels.get(ch) or []
+        if v:
+            amax = max(abs(x) for x in v)
+            geo_amp_div = f"{(amax * 1.1 * 2) / 10:.3f}"
+            break
+    fig.text(
+        0.11, 0.030,
+        f"Time(Seconds) {div_s:.2f} sec/div   Amplitude Geo: {geo_amp_div} in/s/div   Mic: 0.001 psi(L)/div",
+        fontsize=7, color="#444", ha="left",
+    )
+    fig.text(
+        0.11, 0.018,
+        "Trigger = ▶━━━━━ ━━━━━━◀",
+        fontsize=7, color="#444", ha="left",
+    )
+
+
+def _nice_geo_step(amax: float) -> float:
+    """Pick a "nice" per-division step for the geo y-axis.
+
+    Geo LSB is 0.005 in/s — sub-LSB steps like 0.003/div are nonsense.
+    Quantize to the BW-style 1-2-5 sequence (0.005, 0.01, 0.025, 0.05,
+    …) and return the smallest step where 5 divisions >= amax, so the
+    top of the chart lands on a tick.
+    """
+    if amax <= 0:
+        return 0.005
+    for step in (0.005, 0.01, 0.025, 0.05, 0.1, 0.25, 0.5, 1.0, 2.5, 5.0, 10.0):
+        if step * 5 >= amax:
+            return step
+    return 10.0
+
+
+def _draw_histogram_subplot(fig, gridspec_cell, rd: ReportData) -> None:
+    """4-channel stacked histogram bar chart — per-interval peaks.
+
+    X-axis labeled with the actual times from rd.histogram_interval_times
+    when available; otherwise interval index.
+
+    The three geo channels share a single y-axis scale (a BW-style nice
+    multiple of the 0.005 in/s LSB) so bar heights are directly
+    comparable across channels.  MicL has its own auto-scale.
+    """
+    inner = gridspec_cell.subgridspec(4, 1, hspace=0.0)
+    order = ["MicL", "Long", "Vert", "Tran"]
+    last_idx = len(order) - 1
+
+    # X-axis: use absolute time labels if we have them, else interval index
+    have_times = bool(rd.histogram_interval_times)
+
+    # Shared geo scale: max across Tran/Vert/Long, quantized to a nice
+    # tick step.  Used for ylim + the footer "Amplitude Geo: X in/s/div".
+    geo_amax = 0.0
+    for gch in ("Tran", "Vert", "Long"):
+        gv = rd.channels.get(gch) or []
+        if gv:
+            geo_amax = max(geo_amax, max(abs(x) for x in gv if x is not None))
+    geo_step = _nice_geo_step(geo_amax)
+    geo_top  = geo_step * 5  # 5 divisions — top tick lands at this value
+
+    for i, ch in enumerate(order):
+        ax = fig.add_subplot(inner[i])
+        values = rd.channels.get(ch) or []
+        if values:
+            # Histograms record per-interval PEAK magnitudes — always
+            # non-negative.  Codec output occasionally includes signed
+            # values when the underlying .h5 was scaled like a waveform;
+            # take the absolute value so the bars rise from zero.
+            abs_vals = [abs(v) if v is not None else 0 for v in values]
+            xs = np.arange(len(abs_vals))
+            color = _channel_axis_color(ch)
+            ax.bar(xs, abs_vals, color=color, width=0.85, linewidth=0)
+            if ch in ("Tran", "Vert", "Long"):
+                ax.set_ylim(0, geo_top)
+                ax.set_yticks([j * geo_step for j in range(6)])
+            else:
+                amax = max(abs_vals, default=0)
+                if amax > 0:
+                    ax.set_ylim(0, amax * 1.10)
+        ax.set_ylabel(ch, fontsize=8, rotation=0, ha="right", va="center",
+                      color=_channel_axis_color(ch), weight="bold", labelpad=14)
+        ax.text(1.005, 0.02, "0.0", transform=ax.transAxes,
+                fontsize=7, color="#555", va="bottom", ha="left")
+        ax.grid(True, axis="y", linestyle="--", linewidth=0.3, color="#bbb", alpha=0.6)
+        if i != last_idx:
+            ax.set_xticklabels([])
+            ax.tick_params(axis="x", length=0)
+        else:
+            if have_times and len(rd.histogram_interval_times) == len(values):
+                # Show 2-4 labels evenly spaced
+                n = len(values)
+                step = max(1, n // 4)
+                tick_positions = list(range(0, n, step))
+                ax.set_xticks(tick_positions)
+                ax.set_xticklabels([rd.histogram_interval_times[t] for t in tick_positions],
+                                   rotation=0, fontsize=6)
+            else:
+                ax.set_xlabel("Interval", fontsize=8)
+            ax.tick_params(axis="x", labelsize=7)
+        ax.tick_params(axis="y", labelsize=6)
+
+    # Footer scale info — histograms use minute/div.  Reuses the shared
+    # geo_step computed above so the label matches the actual y-axis
+    # tick spacing on every subplot.
+    interval_str = rd.histogram_interval_size or "—"
+    geo_amp_div = f"{geo_step:.3f}"
+    fig.text(
+        0.11, 0.030,
+        f"Time {interval_str} /div   Amplitude Geo: {geo_amp_div} in/s/div   Mic: 0.001 psi(L)/div",
+        fontsize=7, color="#444", ha="left",
+    )

sfm/sfm_webapp.html

@@ -499,6 +499,20 @@
       text-align: left;
       border-bottom: 1px solid var(--border);
       white-space: nowrap;
+      position: sticky;
+      top: 0;
+      z-index: 1;
+    }
+    table.db-table thead th[data-sort]:hover {
+      background: var(--border2);
+      color: var(--text);
+    }
+    table.db-table thead th .sort-arrow {
+      display: inline-block;
+      width: 10px;
+      color: var(--accent, #58a6ff);
+      font-weight: 900;
+      text-align: center;
     }
     table.db-table tbody tr { border-bottom: 1px solid var(--border2); }
     table.db-table tbody tr:last-child { border-bottom: none; }
@@ -758,7 +772,9 @@
       overflow: hidden;
       min-height: 0;
     }
-    #section-db { display: none; }
+    /* Default to Database view on page load — most users are here to
+       browse stored events, not connect to a live unit. */
+    #section-live { display: none; }
 
     /* ── Live connect bar (host/port/connect, live section only) ── */
     #live-connect-bar {
@@ -792,8 +808,8 @@
   </div>
   <div class="hdr-sep"></div>
   <div class="section-switcher">
-    <button class="section-btn active" onclick="switchSection('live')">Live Device</button>
+    <button class="section-btn"        onclick="switchSection('live')">Live Device</button>
-    <button class="section-btn"        onclick="switchSection('db')">Database</button>
+    <button class="section-btn active" onclick="switchSection('db')">Database</button>
   </div>
   <div class="hdr-sep"></div>
   <label class="force-toggle" id="force-toggle"
@@ -802,6 +818,12 @@
     <span class="ft-dot"></span>
     <span>Force refresh</span>
   </label>
+  <div class="hdr-sep"></div>
+  <button id="mic-unit-toggle" class="section-btn"
+          onclick="_setMicUnit(_getMicUnit() === 'dBL' ? 'psi' : 'dBL')"
+          title="Toggle microphone display unit (dBL ↔ psi) for waveform plots.  Affects all mic charts; persists across page loads.">
+    Mic: dBL
+  </button>
 </header>
 
 <!-- ════════════════════════════════════════════════════════════════
@@ -1224,18 +1246,18 @@
     <div class="db-table-wrap" id="hist-table-wrap" style="display:none">
       <table class="db-table" id="hist-table">
         <thead>
-          <tr>
+          <tr id="hist-header-row">
-            <th>Timestamp</th>
+            <th data-sort="timestamp">Timestamp <span class="sort-arrow"></span></th>
-            <th>Serial</th>
+            <th data-sort="serial">Serial <span class="sort-arrow"></span></th>
-            <th>Tran (in/s)</th>
+            <th data-sort="tran_ppv">Tran (in/s) <span class="sort-arrow"></span></th>
-            <th>Vert (in/s)</th>
+            <th data-sort="vert_ppv">Vert (in/s) <span class="sort-arrow"></span></th>
-            <th>Long (in/s)</th>
+            <th data-sort="long_ppv">Long (in/s) <span class="sort-arrow"></span></th>
-            <th>PVS (in/s)</th>
+            <th data-sort="peak_vector_sum">PVS (in/s) <span class="sort-arrow"></span></th>
-            <th>Mic (dBL)</th>
+            <th data-sort="mic_ppv">Mic (dBL) <span class="sort-arrow"></span></th>
-            <th>Project</th>
+            <th data-sort="project">Project <span class="sort-arrow"></span></th>
-            <th>Client</th>
+            <th data-sort="client">Client <span class="sort-arrow"></span></th>
-            <th>Type</th>
+            <th data-sort="record_type">Type <span class="sort-arrow"></span></th>
-            <th>Key</th>
+            <th data-sort="waveform_key">Key <span class="sort-arrow"></span></th>
             <th></th>
           </tr>
         </thead>
@@ -1388,7 +1410,9 @@ function deviceParams() {
 }
 
 // ── Section switching ─────────────────────────────────────────────────────────
-let currentSection = 'live';
+// Default to Database — most users land here to browse stored events.
+// Live Device is opt-in (click the tab to talk to a unit).
+let currentSection = 'db';
 
 function switchSection(name) {
   currentSection = name;
@@ -2285,13 +2309,16 @@ let sessLoaded   = false;
 const _unitSerials = new Set();
 
 function _ppvClass(v) {
-  if (v == null) return '';
+  const n = (v == null) ? null : Number(v);
-  if (v >= 2.0)  return 'ppv-high';
+  if (n == null || !isFinite(n)) return '';
-  if (v >= 0.5)  return 'ppv-warn';
+  if (n >= 2.0)  return 'ppv-high';
+  if (n >= 0.5)  return 'ppv-warn';
   return 'ppv-ok';
 }
 function _ppvFmt(v) {
-  return v != null ? v.toFixed(5) : '—';
+  if (v == null) return '—';
+  const n = typeof v === 'number' ? v : Number(v);
+  return isFinite(n) ? n.toFixed(5) : String(v);
 }
 function _fmtTs(ts) {
   if (!ts) return '—';
@@ -2330,6 +2357,12 @@ async function _fetchUnits() {
 }
 
 // ── History tab ────────────────────────────────────────────────────────────────
+// Module-level state for the history table — preserved across re-sorts.
+// We sort + re-render without re-fetching.
+let _histEvents = [];
+let _histSortKey = 'timestamp';
+let _histSortDir = 'desc';   // 'asc' | 'desc'
+
 async function loadHistory() {
   histLoaded = true;
   const serial  = document.getElementById('hist-serial-filter').value;
@@ -2361,10 +2394,20 @@ async function loadHistory() {
   _populateSerialDropdown('monlog-serial-filter');
   _populateSerialDropdown('sess-serial-filter');
 
-  document.getElementById('hist-count').textContent = `${events.length} event${events.length !== 1 ? 's' : ''}`;
+  _histEvents = events;
+  renderHistTable();
+}
+
+// Re-render the history table from `_histEvents` using the current sort
+// state.  Pulled out of `loadHistory` so column-header clicks can re-sort
+// in-memory without re-fetching from the server.
+function renderHistTable() {
+  const events = _histEvents;
+  document.getElementById('hist-count').textContent =
+    `${events.length} event${events.length !== 1 ? 's' : ''}`;
+
   const tbody = document.getElementById('hist-tbody');
   tbody.innerHTML = '';
-
   if (events.length === 0) {
     document.getElementById('hist-empty').style.display = 'block';
     document.getElementById('hist-table-wrap').style.display = 'none';
@@ -2373,11 +2416,31 @@ async function loadHistory() {
   document.getElementById('hist-empty').style.display = 'none';
   document.getElementById('hist-table-wrap').style.display = 'block';
 
-  for (const ev of events) {
+  // Sort in-place by current key + direction.  Nulls sink to the bottom
+  // regardless of direction.
+  const k = _histSortKey;
+  const dir = _histSortDir === 'asc' ? 1 : -1;
+  const sorted = [...events].sort((a, b) => {
+    const av = a[k], bv = b[k];
+    if (av == null && bv == null) return 0;
+    if (av == null) return 1;
+    if (bv == null) return -1;
+    if (typeof av === 'number' && typeof bv === 'number') return (av - bv) * dir;
+    return String(av).localeCompare(String(bv)) * dir;
+  });
+
+  // Update arrow indicators in the headers
+  document.querySelectorAll('#hist-header-row th[data-sort]').forEach(th => {
+    const arrow = th.querySelector('.sort-arrow');
+    if (!arrow) return;
+    arrow.textContent = th.dataset.sort === k ? (_histSortDir === 'asc' ? '↑' : '↓') : '';
+  });
+
+  for (const ev of sorted) {
     const tr = document.createElement('tr');
     const pvs = ev.peak_vector_sum;
     tr.classList.add('clickable');
-    tr.title = 'Click to review (open sidecar editor)';
+    tr.title = 'Click to view waveform + sidecar';
     tr.dataset.eventId = ev.id;
     tr.innerHTML = `
       <td>${_fmtTs(ev.timestamp)}</td>
@@ -2386,7 +2449,14 @@ async function loadHistory() {
       <td class="${_ppvClass(ev.vert_ppv)}">${_ppvFmt(ev.vert_ppv)}</td>
       <td class="${_ppvClass(ev.long_ppv)}">${_ppvFmt(ev.long_ppv)}</td>
       <td class="${_ppvClass(pvs)}">${_ppvFmt(pvs)}</td>
-      <td class="td-dim">${ev.mic_ppv != null && ev.mic_ppv > 0 ? (20 * Math.log10(ev.mic_ppv / DBL_REF)).toFixed(1) + ' dBL' : '—'}</td>
+      <td class="td-dim">${(() => {
+        const m = ev.mic_ppv == null ? null : Number(ev.mic_ppv);
+        if (m == null || !isFinite(m) || m <= 0) return '—';
+        // Series III (MiniMate Plus / BW) stores mic_ppv as psi → convert.
+        // Series IV (Micromate / Thor) already stores dB(L) → display direct.
+        if (ev.device_family === 'series4') return m.toFixed(1) + ' dBL';
+        return (20 * Math.log10(m / DBL_REF)).toFixed(1) + ' dBL';
+      })()}</td>
       <td class="td-text">${ev.project ?? '—'}</td>
       <td class="td-text">${ev.client  ?? '—'}</td>
       <td class="td-dim">${ev.record_type ?? '—'}</td>
@@ -2398,6 +2468,28 @@ async function loadHistory() {
   }
 }
 
+// Click a column header → toggle sort.  Click another → set sort to that column.
+document.addEventListener('DOMContentLoaded', () => {
+  const headerRow = document.getElementById('hist-header-row');
+  if (!headerRow) return;
+  headerRow.querySelectorAll('th[data-sort]').forEach(th => {
+    th.style.cursor = 'pointer';
+    th.style.userSelect = 'none';
+    th.addEventListener('click', () => {
+      const k = th.dataset.sort;
+      if (_histSortKey === k) {
+        _histSortDir = _histSortDir === 'asc' ? 'desc' : 'asc';
+      } else {
+        _histSortKey = k;
+        // Default direction: 'desc' for numbers + timestamps (biggest/newest first),
+        // 'asc' for text columns (alphabetical).
+        _histSortDir = ['serial','project','client','record_type','waveform_key'].includes(k) ? 'asc' : 'desc';
+      }
+      renderHistTable();
+    });
+  });
+});
+
 // ── Sidecar review modal ───────────────────────────────────────────────────────
 //
 // Opens on row click in the History table.  Loads the .sfm.json sidecar
@@ -2420,23 +2512,373 @@ async function openSidecarModal(eventId) {
   document.getElementById('sc-edit-ft').checked = false;
   document.getElementById('sc-edit-reviewer').value = '';
   document.getElementById('sc-edit-notes').value = '';
+  // Reset waveform area
+  document.getElementById('sc-waveform-status').textContent = 'Loading waveform…';
+  document.getElementById('sc-waveform-charts').innerHTML = '';
+  _destroyScCharts();
 
-  try {
+  // Sidecar + waveform fetched in parallel — neither blocks the other.
-    const r = await fetch(`${api()}/db/events/${eventId}/sidecar`);
+  const sidecarP  = fetch(`${api()}/db/events/${eventId}/sidecar`)
-    if (!r.ok) {
+    .then(async r => {
-      const e = await r.json().catch(() => ({}));
+      if (!r.ok) { const e = await r.json().catch(() => ({})); throw new Error(e.detail || r.statusText); }
-      throw new Error(e.detail || r.statusText);
+      return r.json();
-    }
+    });
-    const data = await r.json();
+  const waveformP = fetch(`${api()}/db/events/${eventId}/waveform.json`)
+    .then(async r => {
+      if (r.status === 404) return null;  // no waveform available — render empty state
+      if (!r.ok) { const e = await r.json().catch(() => ({})); throw new Error(e.detail || r.statusText); }
+      return r.json();
+    });
+
+  // Sidecar usually loads first (smaller payload).  Each one renders
+  // independently so the modal becomes useful as soon as either lands.
+  sidecarP.then(data => {
     _scCurrentSidecar = data;
     _renderSidecar(data);
     document.getElementById('sc-status').textContent = '';
-  } catch (e) {
+  }).catch(e => {
     document.getElementById('sc-status').className = 'sc-status error';
-    document.getElementById('sc-status').textContent = `Load failed: ${e.message}`;
+    document.getElementById('sc-status').textContent = `Sidecar load failed: ${e.message}`;
+  });
+
+  waveformP.then(data => {
+    if (!data) {
+      document.getElementById('sc-waveform-status').textContent = 'No waveform data for this event.';
+      return;
+    }
+    _renderScWaveform(data);
+  }).catch(e => {
+    document.getElementById('sc-waveform-status').textContent = `Waveform load failed: ${e.message}`;
+  });
+}
+
+// ── Sidecar-modal waveform plot ──────────────────────────────────────────────
+// Renders the 4-channel decoded waveform fetched from
+// /db/events/{id}/waveform.json — MicL on top, Tran on bottom (matches
+// Instantel BW Event Report layout).  Uses Chart.js (loaded at the top of
+// the page for the live-device viewer).
+const _SC_CHANNEL_COLORS = {
+  MicL: '#e066ff',
+  Long: '#3a80ff',
+  Vert: '#3fb950',
+  Tran: '#f85149',
+};
+const _SC_CHANNEL_ORDER = ['MicL', 'Long', 'Vert', 'Tran'];
+let _scCharts = {};
+
+// User preference for how mic is displayed in plots — dBL (default,
+// matches BW printout convention + the rest of SFM) or psi (the raw
+// sample unit).  Toggleable via the header pill; persists in localStorage.
+function _getMicUnit() {
+  return localStorage.getItem('sfm_mic_unit') === 'psi' ? 'psi' : 'dBL';
+}
+function _setMicUnit(u) {
+  localStorage.setItem('sfm_mic_unit', u === 'psi' ? 'psi' : 'dBL');
+  _refreshMicUnitToggleLabel();
+  // Re-render the open modal so the change is immediately visible.
+  if (_scCurrentEventId) openSidecarModal(_scCurrentEventId);
+}
+function _refreshMicUnitToggleLabel() {
+  const b = document.getElementById('mic-unit-toggle');
+  if (b) b.textContent = `Mic: ${_getMicUnit()}`;
+}
+// Convert a psi value to dB(L).  Returns null for non-positive values
+// (log of zero is undefined) — Chart.js handles null as a gap in the line.
+function _psiToDbl(psi) {
+  if (psi == null || !(psi > 0)) return null;
+  return 20 * Math.log10(psi / DBL_REF);
+}
+
+// Per-sample mic display floor.  Sound pressure AC samples spend most
+// of their time at the digitization noise floor (1-2 ADC counts ≈ ~20-40
+// dBL).  Rendering each one as null/-inf produces a spikey discontinuous
+// chart of "moments when sound briefly exceeded 80 dBL" — confusing.
+// Instead we rectify (abs the AC waveform), convert to dBL, and floor
+// anything below MIC_DBL_FLOOR so the chart has a continuous baseline
+// with peaks rising above it.  Matches how acoustic engineers expect to
+// see SPL-vs-time.
+const MIC_DBL_FLOOR = 60;
+function _psiToDblForChart(psi) {
+  if (psi == null) return MIC_DBL_FLOOR;
+  const a = Math.abs(psi);
+  if (a === 0) return MIC_DBL_FLOOR;
+  const dbl = 20 * Math.log10(a / DBL_REF);
+  return dbl > MIC_DBL_FLOOR ? dbl : MIC_DBL_FLOOR;
+}
+
+// Adaptive decimal formatter — scientific notation is reserved for truly
+// extreme values (10000+ or sub-0.0001).  Normal-range values (most peaks
+// fall here) render as decimals with sensible precision.  Replaces the
+// previous .toExponential(3) call that turned every peak into ugly "2.500E-2".
+function _fmtPeak(v, unit) {
+  if (v == null || (typeof v === 'number' && !isFinite(v))) return '';
+  if (typeof v !== 'number') return String(v) + (unit ? ' ' + unit : '');
+  if (v === 0) return '0' + (unit ? ' ' + unit : '');
+  const a = Math.abs(v);
+  const u = unit ? ' ' + unit : '';
+  if (a >= 0.0001 && a < 10000) {
+    const d = a >= 100 ? 1 : a >= 10 ? 2 : a >= 1 ? 3 : a >= 0.1 ? 4 : 5;
+    return v.toFixed(d) + u;
+  }
+  return v.toExponential(2) + u;
+}
+
+function _destroyScCharts() {
+  Object.values(_scCharts).forEach(c => { try { c.destroy(); } catch {} });
+  _scCharts = {};
+}
+
+function _renderScWaveform(data) {
+  document.getElementById('sc-waveform-status').textContent = '';
+  const chartsDiv = document.getElementById('sc-waveform-charts');
+  chartsDiv.innerHTML = '';
+  _destroyScCharts();
+
+  const channels = data.channels || {};
+  // time_axis is METADATA, not an array — it carries sample_rate,
+  // pretrig_samples, t0_ms (first-sample time relative to trigger,
+  // negative when pretrig samples exist), and dt_ms.  Trigger is at
+  // t=0 by convention.
+  const ta       = data.time_axis || {};
+  const sr       = ta.sample_rate || 1024;
+  const dtMs    = ta.dt_ms || (1000.0 / sr);
+  const t0Ms    = ta.t0_ms != null ? ta.t0_ms : 0;
+  // Histogram events have per-interval peaks, not per-sample data.
+  // Render as bars (one per interval) instead of a connected line, and
+  // suppress trigger/zero overlays which don't apply.  X-axis becomes
+  // interval index since the sample_rate-based time math is meaningless
+  // here (each "sample" is one interval, typically 1-5 minutes long).
+  const isHistogram = String(data.record_type || '').toLowerCase().includes('histogram');
+
+  // Which channels have data — determines which one renders the shared bottom axis.
+  const withData = _SC_CHANNEL_ORDER.filter(ch =>
+    channels[ch] && (channels[ch].values || []).length > 0
+  );
+  const lastCh = withData[withData.length - 1];
+
+  const micUnit = _getMicUnit();   // user preference: 'dBL' or 'psi'
+
+  for (const ch of _SC_CHANNEL_ORDER) {
+    const chData = channels[ch];
+    if (!chData) continue;
+    let values = chData.values || [];
+    let chUnit = chData.unit || '';
+    let chPeak = chData.peak;
+
+    // Mic channel: convert from raw psi to dB(L) when user prefers dBL
+    // (default).  Per-sample values use _psiToDblForChart which rectifies
+    // (abs) the AC waveform and floors at MIC_DBL_FLOOR so the chart is
+    // continuous with a baseline + peaks above it, instead of a sparse
+    // pattern of isolated spikes for "moments when sound briefly exceeded
+    // the Y-axis bottom".  The peak label uses _psiToDbl with the
+    // unrectified peak (preserves the true measurement).
+    if (ch === 'MicL' && chUnit === 'psi' && micUnit === 'dBL') {
+      values = values.map(_psiToDblForChart);
+      chPeak = _psiToDbl(chPeak);
+      chUnit = 'dB(L)';
+    }
+
+    const wrap = document.createElement('div');
+    wrap.style.cssText = 'background:var(--surface);border:1px solid var(--border2);border-radius:6px;padding:6px 30px 4px 10px';
+    const lbl = document.createElement('div');
+    lbl.style.cssText = `font-size:10px;font-weight:600;letter-spacing:0.05em;text-transform:uppercase;margin-bottom:2px;color:${_SC_CHANNEL_COLORS[ch]};display:flex;justify-content:space-between`;
+    const peakStr = chPeak != null
+      ? `peak ${_fmtPeak(chPeak, chUnit)}`
+      : '';
+    lbl.innerHTML = `<span>${ch}</span><span style="color:var(--text-dim);font-weight:normal">${peakStr}</span>`;
+    wrap.appendChild(lbl);
+
+    if (values.length === 0) {
+      const e = document.createElement('div');
+      e.style.cssText = 'height:80px;display:flex;align-items:center;justify-content:center;color:var(--text-dim);font-size:11px';
+      e.textContent = 'no samples decoded';
+      wrap.appendChild(e);
+      chartsDiv.appendChild(wrap);
+      continue;
+    }
+
+    const canvasWrap = document.createElement('div');
+    canvasWrap.style.cssText = 'position:relative;height:100px';
+    const canvas = document.createElement('canvas');
+    canvasWrap.appendChild(canvas);
+    wrap.appendChild(canvasWrap);
+    chartsDiv.appendChild(wrap);
+
+    // Waveform: per-sample time in ms relative to trigger (negative for pretrig).
+    // Histogram: when the server has aggregated to BW-reported intervals AND
+    // provides per-interval timestamps, use those as x-axis labels (HH:MM:SS).
+    // Falls back to interval index.
+    let times;
+    if (isHistogram) {
+      const intervalTimes = ta.interval_times || [];
+      times = (intervalTimes.length === values.length)
+        ? intervalTimes
+        : values.map((_, i) => i + 1);
+    } else {
+      times = values.map((_, i) => t0Ms + i * dtMs);
+    }
+
+    // Downsample for rendering when very long.
+    const MAX = 3000;
+    let rT = times, rV = values;
+    if (values.length > MAX) {
+      const step = Math.ceil(values.length / MAX);
+      rT = times.filter((_, i) => i % step === 0);
+      rV = values.filter((_, i) => i % step === 0);
+    }
+    const showX = (ch === lastCh);
+
+    // Tick label formatter: snap floats to 1 decimal place so we don't get
+    // "11.7187040000000002 ms" garbage from accumulated floating-point error.
+    const xAxisLabel = isHistogram ? '' : ' ms';
+    const fmtTick = i => {
+      const v = rT[i];
+      if (typeof v === 'number') {
+        // Whole numbers (intervals) → no decimals.  Sub-integer ms → 1 decimal.
+        const s = Number.isInteger(v) ? String(v) : v.toFixed(1);
+        return s + xAxisLabel;
+      }
+      return String(v) + xAxisLabel;
+    };
+
+    // Y-axis bounds.  Convention:
+    //   - Geophones (Tran/Vert/Long) on waveform-mode events:
+    //     symmetric around zero so the zero line sits in the middle and
+    //     positive/negative excursions are visually balanced.
+    //   - Mic (always positive sound pressure) + histograms (per-interval
+    //     peaks, always positive): default auto-scale, zero at the bottom.
+    let yBounds = {};
+    const isGeo = ch !== 'MicL';
+    if (isGeo && !isHistogram) {
+      // Waveform geo: symmetric around zero, full zoom to shape detail.
+      let absMax = 0;
+      for (const v of values) {
+        const a = Math.abs(v);
+        if (a > absMax) absMax = a;
+      }
+      const padded = (absMax || 1) * 1.10;
+      yBounds = { min: -padded, max: padded };
+    } else if (isGeo && isHistogram) {
+      // Histogram geo: enforce a minimum chart range so a quiet
+      // 0.005 in/s event renders as ~10% of chart height instead of
+      // filling the panel.  Matches BW's near-fixed-scale convention
+      // (their footer is "Geo: 0.002 in/s/div" — a chart-relative scale,
+      // not auto-zoom).
+      const HIST_GEO_MIN_INS = 0.05;
+      let peak = 0;
+      for (const v of values) { const a = Math.abs(v); if (a > peak) peak = a; }
+      yBounds = { min: 0, max: Math.max(peak * 1.10, HIST_GEO_MIN_INS) };
+    } else if (ch === 'MicL' && micUnit === 'dBL') {
+      // Mic in dBL — pin baseline at noise-floor minimum (where we floored
+      // quiet samples), top at actual peak + a few dB headroom.
+      const peakDbl = (typeof chPeak === 'number' && isFinite(chPeak))
+        ? chPeak + 5
+        : 100;
+      yBounds = { min: MIC_DBL_FLOOR, max: Math.max(peakDbl, MIC_DBL_FLOOR + 20) };
+    } else if (ch === 'MicL' && isHistogram && micUnit === 'psi') {
+      // Mic histogram in psi — same minimum-range treatment as geo.
+      // 0.001 psi ≈ 110 dBL — typical "loud" mic peak.  Quiet events
+      // sit near the bottom.
+      const HIST_MIC_MIN_PSI = 0.001;
+      let peak = 0;
+      for (const v of values) { const a = Math.abs(v); if (a > peak) peak = a; }
+      yBounds = { min: 0, max: Math.max(peak * 1.10, HIST_MIC_MIN_PSI) };
+    }
+
+    _scCharts[ch] = new Chart(canvas, {
+      type: isHistogram ? 'bar' : 'line',
+      data: {
+        labels: rT.map(t => (typeof t === 'number' ? (Number.isInteger(t) ? String(t) : t.toFixed(2)) : t)),
+        datasets: isHistogram ? [{
+          data: rV,
+          backgroundColor: _SC_CHANNEL_COLORS[ch],
+          borderWidth: 0,
+          barPercentage: 1.0,
+          categoryPercentage: 1.0,  // bars touch — "tight bargraph" look
+        }] : [{
+          data: rV,
+          borderColor: _SC_CHANNEL_COLORS[ch],
+          borderWidth: 1,
+          pointRadius: 0,
+          tension: 0,
+        }],
+      },
+      options: {
+        animation: false, responsive: true, maintainAspectRatio: false,
+        plugins: {
+          legend: { display: false },
+          tooltip: {
+            mode: 'index', intersect: false,
+            callbacks: {
+              title: items => isHistogram
+                ? `interval ${items[0].label}`
+                : `t = ${items[0].label} ms`,
+              label: item => `${ch}: ${_fmtPeak(item.raw, chUnit)}`,
+            },
+          },
+        },
+        scales: {
+          x: {
+            type: 'category', display: showX,
+            ticks: { color: '#484f58', maxTicksLimit: 8, maxRotation: 0, callback: (v, i) => fmtTick(i) },
+            grid:  { color: '#21262d', drawTicks: showX },
+          },
+          y: {
+            ...yBounds,
+            ticks: { color: '#484f58', maxTicksLimit: 4 },
+            grid:  { color: '#21262d' },
+            title: { display: true, text: chUnit, color: '#484f58', font: { size: 9 } },
+          },
+        },
+      },
+      plugins: isHistogram ? [] : [{
+        // Trigger line + triangle markers + zero baseline — only meaningful
+        // for waveform-mode events.  Histograms have no trigger.
+        id: 'overlays',
+        afterDraw(chart) {
+          const ctx = chart.ctx, x = chart.scales.x, y = chart.scales.y;
+          // Dashed trigger line at t=0
+          const zi = rT.findIndex(t => parseFloat(t) >= 0);
+          if (zi >= 0) {
+            const px = x.getPixelForValue(zi);
+            ctx.save();
+            ctx.beginPath(); ctx.moveTo(px, y.top); ctx.lineTo(px, y.bottom);
+            ctx.strokeStyle = 'rgba(248,81,73,0.8)'; ctx.lineWidth = 1.2;
+            ctx.setLineDash([4, 3]); ctx.stroke(); ctx.restore();
+            // Triangle markers above and below the chart
+            ctx.save();
+            ctx.fillStyle = '#f85149';
+            ctx.beginPath();
+            ctx.moveTo(px - 4, y.top - 7); ctx.lineTo(px + 4, y.top - 7); ctx.lineTo(px, y.top - 1);
+            ctx.closePath(); ctx.fill();
+            ctx.beginPath();
+            ctx.moveTo(px - 4, y.bottom + 7); ctx.lineTo(px + 4, y.bottom + 7); ctx.lineTo(px, y.bottom + 1);
+            ctx.closePath(); ctx.fill();
+            ctx.restore();
+          }
+          // Zero baseline + label
+          const zy = y.getPixelForValue(0);
+          if (zy >= y.top && zy <= y.bottom) {
+            ctx.save();
+            ctx.strokeStyle = '#30363d'; ctx.lineWidth = 0.8;
+            ctx.setLineDash([2, 2]);
+            ctx.beginPath(); ctx.moveTo(x.left, zy); ctx.lineTo(x.right, zy); ctx.stroke();
+            ctx.restore();
+            ctx.save();
+            ctx.fillStyle = '#c9d1d9'; ctx.font = '10px monospace';
+            ctx.textAlign = 'left'; ctx.textBaseline = 'middle';
+            ctx.fillText('0.0', x.right + 6, zy);
+            ctx.restore();
+          }
+        },
+      }],
+    });
   }
 }
 
+// Make sure charts get cleaned up when the modal closes.
+function _scCleanupOnClose() { _destroyScCharts(); }
+
 function _renderSidecar(data) {
   const ev   = data.event        || {};
   const pv   = data.peak_values  || {};
@@ -2444,38 +2886,103 @@ function _renderSidecar(data) {
   const bw   = data.blastware    || {};
   const src  = data.source       || {};
   const rev  = data.review       || {};
+  // bw_report carries the per-channel ASCII-derived stats (ZC Freq,
+  // saturation flags, peak time, etc.).  Only present on events
+  // ingested with a preserved .TXT (post-2026-05-27); falls back to
+  // empty for legacy events.
+  const bwrPeaks = (data.bw_report || {}).peaks || {};
+  const bwrMic   = (data.bw_report || {}).mic   || {};
 
   document.getElementById('sc-title').textContent = `Event — ${bw.filename || ev.waveform_key || 'unknown'}`;
 
-  const fmtPpv = v => (v == null ? '—' : Number(v).toFixed(5) + ' in/s');
+  const fmtPpv = v => {
+    if (v == null) return '—';
+    const n = Number(v);
+    return isFinite(n) ? n.toFixed(5) + ' in/s' : String(v);
+  };
+  // Map sidecar source.kind → device family (Series IV ingest path is
+  // "idf-import"; everything else is Series III today).  The events-list
+  // table uses ev.device_family from the DB row, but sidecars don't carry
+  // that column — source.kind is the equivalent signal here.
+  const family = ((src.kind || '') === 'idf-import') ? 'series4' : 'series3';
   const fmtMic = v => {
-    if (v == null || v <= 0) return '—';
+    if (v == null) return '—';
-    const dbl = 20 * Math.log10(v / DBL_REF);
+    const n = Number(v);
-    return `${dbl.toFixed(1)} dBL  (${v.toExponential(2)} psi)`;
+    if (!isFinite(n) || n <= 0) return '—';
+    // Series IV (Micromate / Thor) stores mic as dB(L); Series III (BW)
+    // stores it as psi and we render both for cross-reference.
+    if (family === 'series4') return `${n.toFixed(1)} dBL`;
+    const dbl = 20 * Math.log10(n / DBL_REF);
+    return `${dbl.toFixed(1)} dBL  (${n.toExponential(2)} psi)`;
   };
 
   document.getElementById('sc-f-serial').textContent   = ev.serial          || '—';
-  document.getElementById('sc-f-ts').textContent       = ev.timestamp       || '—';
+  // Route through _fmtTs so the unit-local naive timestamp shows as
+  // "5/27/2026, 6:00:13 AM" instead of "2026-05-27T06:00:13".
+  document.getElementById('sc-f-ts').textContent       = _fmtTs(ev.timestamp);
   document.getElementById('sc-f-rt').textContent       = ev.record_type     || '—';
   document.getElementById('sc-f-sr').textContent       = (ev.sample_rate ?? '—') + (ev.sample_rate ? ' sps' : '');
   document.getElementById('sc-f-key').textContent      = ev.waveform_key    || '—';
 
-  document.getElementById('sc-f-tran').textContent     = fmtPpv(pv.transverse);
+  // Suffix with " · {prefix}{N} Hz" when bw_report has a ZC Freq.
-  document.getElementById('sc-f-vert').textContent     = fmtPpv(pv.vertical);
+  // Above-range ZC peaks (BW ">100 Hz") get a literal ">" prefix so
-  document.getElementById('sc-f-long').textContent     = fmtPpv(pv.longitudinal);
+  // operators see the same indicator the PDF shows.
+  const fmtZc = bwr => {
+    if (!bwr || bwr.zc_freq_hz == null) return '';
+    const prefix = bwr.zc_freq_above_range ? '>' : '';
+    return ` · ${prefix}${Math.round(bwr.zc_freq_hz)} Hz`;
+  };
+  document.getElementById('sc-f-tran').textContent     = fmtPpv(pv.transverse)   + fmtZc(bwrPeaks.tran);
+  document.getElementById('sc-f-vert').textContent     = fmtPpv(pv.vertical)     + fmtZc(bwrPeaks.vert);
+  document.getElementById('sc-f-long').textContent     = fmtPpv(pv.longitudinal) + fmtZc(bwrPeaks.long);
   document.getElementById('sc-f-pvs').textContent      = fmtPpv(pv.vector_sum);
-  document.getElementById('sc-f-mic').textContent      = fmtMic(pv.mic_psi);
+  document.getElementById('sc-f-mic').textContent      = fmtMic(pv.mic_psi)      + fmtZc(bwrMic);
 
   document.getElementById('sc-f-project').textContent  = pi.project         || '—';
   document.getElementById('sc-f-client').textContent   = pi.client          || '—';
   document.getElementById('sc-f-operator').textContent = pi.operator        || '—';
   document.getElementById('sc-f-loc').textContent      = pi.sensor_location || '—';
 
-  document.getElementById('sc-f-bw').textContent       = bw.filename        || '—';
+  // Filename rendered as a clickable download link for the original BW
+  // binary.  Same endpoint the live-device viewer uses for stored events
+  // (/db/events/{id}/blastware_file).
+  const bwCell = document.getElementById('sc-f-bw');
+  bwCell.innerHTML = '';
+  if (bw.filename && _scCurrentEventId) {
+    const a = document.createElement('a');
+    a.href = `${api()}/db/events/${_scCurrentEventId}/blastware_file`;
+    a.textContent = bw.filename;
+    a.download = bw.filename;
+    a.title = 'Download original BW event binary';
+    a.style.color = 'var(--accent, #58a6ff)';
+    a.style.textDecoration = 'underline';
+    bwCell.appendChild(a);
+  } else {
+    bwCell.textContent = '—';
+  }
   document.getElementById('sc-f-bwsize').textContent   = bw.filesize != null ? `${bw.filesize} bytes` : '—';
   document.getElementById('sc-f-sha').textContent      = bw.sha256          || '—';
-  document.getElementById('sc-f-src').textContent      = src.kind           || '—';
+  // Source kind + a download link for the preserved BW ASCII report
-  document.getElementById('sc-f-cap').textContent      = src.captured_at    || '—';
+  // (.TXT), when available.  Only events ingested after 2026-05-27
+  // have the .TXT preserved; older events show "—".
+  const srcCell = document.getElementById('sc-f-src');
+  srcCell.innerHTML = '';
+  srcCell.appendChild(document.createTextNode(src.kind || '—'));
+  if (src.txt_filename && _scCurrentEventId) {
+    const a = document.createElement('a');
+    a.href = `${api()}/db/events/${_scCurrentEventId}/ascii_report.txt`;
+    a.textContent = ' (download .TXT)';
+    a.download = src.txt_filename;
+    a.title = 'Download preserved BW ASCII report';
+    a.style.color = 'var(--accent, #58a6ff)';
+    a.style.marginLeft = '8px';
+    a.style.fontSize = '11px';
+    srcCell.appendChild(a);
+  }
+  // captured_at has a "Z" suffix (UTC); _fmtTs converts to browser local
+  // — matches the BW-reported recorded-at, no more "21:59:57 vs it's 6 PM"
+  // confusion from operators reading the raw UTC value.
+  document.getElementById('sc-f-cap').textContent      = _fmtTs(src.captured_at);
 
   document.getElementById('sc-edit-ft').checked        = !!rev.false_trigger;
   document.getElementById('sc-edit-reviewer').value    = rev.reviewer || '';
@@ -2488,6 +2995,19 @@ function closeSidecarModal() {
   document.getElementById('sc-overlay').classList.remove('visible');
   _scCurrentEventId = null;
   _scCurrentSidecar = null;
+  _destroyScCharts();
+}
+
+// Trigger a PDF download for the currently-open event.  The browser
+// handles the actual save dialog from the Content-Disposition header
+// the server sends.
+function downloadEventReport() {
+  if (!_scCurrentEventId) return;
+  const url = `${api()}/db/events/${_scCurrentEventId}/report.pdf`;
+  // Open in a new tab — browser prompts to save or displays inline,
+  // and a failed fetch (e.g. 404 for events with no waveform) shows
+  // its JSON error in-page rather than silently failing.
+  window.open(url, '_blank');
 }
 
 function onSidecarOverlayClick(e) {
@@ -2698,6 +3218,16 @@ document.addEventListener('keydown', e => {
 // hit localhost:8200, 10.0.0.44:8200, or anything else.
 document.getElementById('api-base').value = window.location.origin;
 
+// Reflect any persisted mic-unit preference in the header pill on load
+_refreshMicUnitToggleLabel();
+
+// We default to Database view → trigger initial history + units load
+// (switchSection handles this when clicked, but we never click on first paint).
+if (currentSection === 'db') {
+  if (!histLoaded)  loadHistory();
+  if (!unitsLoaded) loadUnits();
+}
+
 // Press Enter in any live connect field to connect
 ['dev-host','dev-port'].forEach(id => {
   document.getElementById(id)?.addEventListener('keydown', e => { if (e.key === 'Enter') connectUnit(); });
@@ -2714,11 +3244,18 @@ document.getElementById('api-base').value = window.location.origin;
       <button class="sc-close" onclick="closeSidecarModal()">×</button>
     </div>
     <div class="sc-body">
+      <!-- Waveform plot — 4 channels stacked (MicL, Long, Vert, Tran) — -->
+      <div class="sc-section" id="sc-section-waveform">
+        <h4>Waveform</h4>
+        <div id="sc-waveform-status" style="color:var(--text-dim);font-size:11px;margin-bottom:6px">Loading…</div>
+        <div id="sc-waveform-charts" style="display:flex;flex-direction:column;gap:6px"></div>
+      </div>
       <div class="sc-section">
         <h4>Event</h4>
         <dl class="sc-grid">
           <dt>Serial</dt>           <dd id="sc-f-serial">—</dd>
-          <dt>Timestamp</dt>        <dd id="sc-f-ts">—</dd>
+          <dt title="When the seismograph recorded this event (from the BW report's Event Time field)">Recorded at</dt>
+                                    <dd id="sc-f-ts">—</dd>
           <dt>Record type</dt>      <dd id="sc-f-rt">—</dd>
           <dt>Sample rate</dt>      <dd id="sc-f-sr">—</dd>
           <dt>Waveform key</dt>     <dd id="sc-f-key">—</dd>
@@ -2746,11 +3283,12 @@ document.getElementById('api-base').value = window.location.origin;
       <div class="sc-section">
         <h4>Source / files</h4>
         <dl class="sc-grid">
-          <dt>BW filename</dt>      <dd id="sc-f-bw">—</dd>
+          <dt id="sc-l-bw">Event file</dt>      <dd id="sc-f-bw">—</dd>
-          <dt>BW filesize</dt>      <dd id="sc-f-bwsize">—</dd>
+          <dt id="sc-l-bwsize">File size</dt>   <dd id="sc-f-bwsize">—</dd>
-          <dt>BW sha256</dt>        <dd id="sc-f-sha">—</dd>
+          <dt id="sc-l-sha">File sha256</dt>    <dd id="sc-f-sha">—</dd>
           <dt>Source kind</dt>      <dd id="sc-f-src">—</dd>
-          <dt>Captured at</dt>      <dd id="sc-f-cap">—</dd>
+          <dt title="When SFM received and stored this event — NOT the unit-local trigger time (see Timestamp at the top of the modal for that).">Time received</dt>
+                                    <dd id="sc-f-cap">—</dd>
         </dl>
       </div>
       <div class="sc-section">
@@ -2773,6 +3311,10 @@ document.getElementById('api-base').value = window.location.origin;
     </div>
     <div class="sc-footer">
       <span class="sc-status" id="sc-status"></span>
+      <button class="btn btn-ghost" id="sc-pdf-btn" onclick="downloadEventReport()"
+              title="Download an Instantel-style Event Report PDF for this event">
+        Download PDF
+      </button>
       <button class="btn btn-ghost" onclick="closeSidecarModal()">Cancel</button>
       <button class="btn" id="sc-save-btn" onclick="saveSidecarReview()">Save</button>
     </div>

sfm/waveform_store.py

@@ -34,7 +34,7 @@ import logging
 import pickle
 import shutil
 from pathlib import Path
-from typing import Optional
+from typing import Optional, Union
 
 from minimateplus import event_file_io
 from minimateplus.blastware_file import blastware_filename, write_blastware_file
@@ -108,11 +108,30 @@ class WaveformStore:
         """Return absolute path to the .h5 clean-waveform file for a given event."""
         return self._serial_dir(serial) / f"{filename}.h5"
 
+    def txt_path_for(self, serial: str, filename: str) -> Path:
+        """Return absolute path to the preserved BW ASCII report (.TXT)
+        for a given event.
+
+        We name it ``<filename>_ASCII.TXT`` to match BW's own filename
+        convention in the ACH folder.  Saved at ingest time alongside
+        the binary so the parser bug fixes can be applied retroactively
+        by re-parsing without needing to re-forward from the watcher PC.
+        """
+        return self._serial_dir(serial) / f"{filename}_ASCII.TXT"
+
     def open_blastware(self, serial: str, filename: str) -> Optional[Path]:
         """Return absolute path to an existing event file or None."""
         bw_path, _ = self.paths_for(serial, filename)
         return bw_path if bw_path.exists() else None
 
+    def open_txt(self, serial: str, filename: str) -> Optional[Path]:
+        """Return absolute path to the preserved BW ASCII report for an
+        event, or None if the .TXT wasn't saved at ingest time (events
+        ingested before .TXT preservation landed will show None until
+        re-forwarded)."""
+        p = self.txt_path_for(serial, filename)
+        return p if p.exists() else None
+
     # ── save / load ─────────────────────────────────────────────────────────────
 
     def save(
@@ -258,6 +277,7 @@ class WaveformStore:
         source_path: Path,
         *,
         serial_hint: Optional[str] = None,
+        bw_report_text: Optional[Union[str, bytes]] = None,
     ) -> tuple[Event, dict]:
         """
         Ingest a Blastware event file produced by an external tool
@@ -267,10 +287,17 @@ class WaveformStore:
         Workflow:
           1. Parse the bytes via event_file_io.read_blastware_file (writes
              a temp file to do that, since the parser takes a path).
-          2. Resolve serial from BW filename (`<P><serial3>...`) or use
+          2. Optionally parse a paired BW ASCII event report (the .TXT
+             file BW writes alongside the binary).  When supplied, its
+             decoded fields land in the sidecar's `bw_report` block AND
+             overlay the device-authoritative peak values into the
+             top-level `peak_values` block.  This is the right path for
+             the ACH-forwarder daemon use case where Blastware's own
+             ACH writes both files into the watch folder.
+          3. Resolve serial from BW filename (`<P><serial3>...`) or use
              serial_hint.  Falls back to "UNKNOWN".
-          3. Copy the BW bytes verbatim into <root>/<serial>/<filename>.
+          4. Copy the BW bytes verbatim into <root>/<serial>/<filename>.
-          4. Write the .sfm.json sidecar with source.kind = "bw-import"
+          5. Write the .sfm.json sidecar with source.kind = "bw-import"
              and a5_pickle_filename = None.  Does NOT write a .a5.pkl
              (no A5 source available; byte-for-byte regeneration not
              possible — the on-disk BW file IS the byte-for-byte source).
@@ -292,6 +319,47 @@ class WaveformStore:
             except FileNotFoundError:
                 pass
 
+        # read_blastware_file derives record_type from its path arg, but
+        # that arg is the tmp file (suffix ".bw") — so override with the
+        # original filename's encoded type (H/W/M/E/C in the BW AB0T
+        # scheme).  Without this override every BW-imported event lands
+        # in the DB with record_type="Waveform" regardless of the actual
+        # type (Histogram, Manual, etc.).
+        ev.record_type = event_file_io.derive_record_type_from_filename(
+            source_path.name
+        )
+
+        # Parse the BW ASCII report if one was supplied.  Failures here
+        # are non-fatal: we still write the binary + sidecar without the
+        # rich derived fields.
+        bw_report = None
+        if bw_report_text is not None:
+            try:
+                from minimateplus.bw_ascii_report import parse_report
+                bw_report = parse_report(bw_report_text)
+            except Exception as exc:
+                log.warning(
+                    "save_imported_bw: BW report parse failed: %s — continuing without it",
+                    exc,
+                )
+
+        # If we have a report, overlay its device-authoritative fields
+        # (peaks, project, sample_rate, record_time) onto the Event
+        # BEFORE handing it to db.insert_events().  Without this overlay
+        # the DB row gets `peak_values` from _peaks_from_samples(), which
+        # runs the still-undecoded waveform codec on the BW body and
+        # produces ±10 in/s saturation values on every channel for every
+        # event.  The sidecar JSON had the correct values via
+        # event_to_sidecar_dict(bw_report=...) but the DB columns didn't.
+        if bw_report is not None:
+            try:
+                event_file_io.apply_report_to_event(ev, bw_report)
+            except Exception as exc:
+                log.warning(
+                    "save_imported_bw: failed to overlay report onto event: %s",
+                    exc,
+                )
+
         # Resolve serial.  blastware_filename derives a 4-char prefix from
         # the numeric serial (e.g. BE11529 → M529); we go the other way
         # via the source filename if a hint wasn't given.
@@ -308,6 +376,28 @@ class WaveformStore:
         filesize = bw_path.stat().st_size
         sha256   = event_file_io.file_sha256(bw_path)
 
+        # 1b. preserve the raw BW ASCII report (.TXT) alongside the binary.
+        # Saved at <root>/<serial>/<filename>_ASCII.TXT.  Lets us re-parse
+        # offline after parser fixes without needing to re-forward from
+        # the watcher PC.  Negligible storage cost (~15 KB per event).
+        # Skipped silently when no report was supplied (live download path,
+        # manual upload without paired TXT).
+        txt_filename: Optional[str] = None
+        if bw_report_text is not None:
+            try:
+                txt_path = self.txt_path_for(serial, filename)
+                if isinstance(bw_report_text, bytes):
+                    txt_path.write_bytes(bw_report_text)
+                else:
+                    txt_path.write_text(bw_report_text)
+                txt_filename = txt_path.name
+            except Exception as exc:
+                log.warning(
+                    "save_imported_bw: failed to save TXT for %s: %s — "
+                    "continuing without it",
+                    filename, exc,
+                )
+
         # 2. write the .h5 clean-waveform file from the parsed Event.
         # Note: peaks here are computed from raw samples (the BW file
         # doesn't carry the device-authoritative 0C peaks).  Best-effort.
@@ -344,7 +434,9 @@ class WaveformStore:
             blastware_sha256=sha256,
             source_kind="bw-import",
             a5_pickle_filename=None,
+            txt_filename=txt_filename,
             review=existing_review,
+            bw_report=bw_report,
         )
         event_file_io.write_sidecar(sidecar_path, sidecar)
 
@@ -360,6 +452,289 @@ class WaveformStore:
             "a5_pickle_filename": None,
             "hdf5_filename":      hdf5_filename,
             "sidecar_filename":   sidecar_path.name,
+            "serial":             serial,
+        }
+
+    def save_imported_idf(
+        self,
+        idf_bytes: bytes,
+        source_path: Path,
+        *,
+        serial_hint: Optional[str] = None,
+        idf_report_text: Optional[Union[str, bytes]] = None,
+    ) -> tuple[Optional["Event"], dict]:
+        """
+        Ingest a Thor (Micromate Series IV) IDF event file (`.IDFW` or
+        `.IDFH`) produced by Thor's TXT exporter.
+
+        Workflow:
+          1. For sig-A `.IDFW` binaries, decode samples + binary metadata
+             via ``micromate.idf_file.read_idf_file()``.  Failure or
+             non-IDFW path falls through to the .txt-only flow.
+          2. Parse the paired TXT report (when supplied) via
+             ``micromate.parse_idf_report`` → dict.  TXT remains the
+             source of truth for fields the binary doesn't yet supply
+             (full peak set with ZC freq / Time of Peak, sensor self-check,
+             firmware string, project strings).
+          3. Wrap parsed dict + filename into a typed ``micromate.IdfEvent``.
+          4. Copy bytes verbatim into ``<root>/<serial>/<filename>``.
+          5. Bridge IdfEvent → ``minimateplus.Event`` and attach
+             ``raw_samples`` from the binary decoder (when available).
+          6. Write the `.h5` clean-waveform file when samples decoded.
+          7. Write the ``.sfm.json`` sidecar with
+             ``source.kind = "idf-import"`` and the full raw IDF report
+             under ``extensions.idf_report``.
+
+        Returns ``(event, record_dict)`` so the endpoint can both insert
+        into SeismoDb and surface the parsed event.
+        """
+        from micromate import IdfEvent, parse_idf_report
+
+        # 1. Binary decode (sig-A IDFW and IDFH).  Non-fatal: any failure
+        # leaves samples / binary metadata unfilled and we proceed with
+        # the .txt path as before.
+        idf_samples: Optional[dict] = None
+        idf_intervals: Optional[list] = None
+        binary_md = None
+        binary_peaks = None
+        is_histogram = False
+        try:
+            from micromate.idf_file import read_idf_file
+            # Pass idf_bytes through `data=` — at this point in the flow
+            # the binary hasn't been written to disk yet, so the codec
+            # can't read from source_path.  We still pass source_path so
+            # the codec has the filename for error messages + .IDFH
+            # suffix detection.
+            res = read_idf_file(source_path, data=idf_bytes)
+            idf_samples = res.samples or None
+            idf_intervals = res.intervals
+            is_histogram = res.intervals is not None
+            binary_md = res.binary_metadata
+            binary_peaks = res.event.peaks
+        except NotImplementedError:
+            # sig-B — codec doesn't handle this yet.
+            pass
+        except Exception as exc:
+            log.warning(
+                "save_imported_idf: binary codec failed for %s: %s — "
+                "falling back to .txt-only ingest",
+                source_path.name, exc,
+            )
+
+        # 2. Parse the .txt sidecar (best-effort; non-fatal on failure).
+        report_dict: dict = {}
+        if idf_report_text is not None:
+            try:
+                report_dict = parse_idf_report(idf_report_text)
+            except Exception as exc:
+                log.warning(
+                    "save_imported_idf: report parse failed: %s — continuing without it",
+                    exc,
+                )
+
+        # 3. Backfill report_dict with binary metadata for fields the
+        # .txt didn't supply.  Binary takes precedence on tied fields
+        # where the binary is more reliable (timestamp, sample_rate),
+        # and fills in fields entirely missing from the .txt.
+        if binary_md is not None:
+            if binary_md.serial and not report_dict.get("serial_number"):
+                report_dict["serial_number"] = binary_md.serial
+            if binary_md.event_datetime and not report_dict.get("event_datetime"):
+                report_dict["event_datetime"] = binary_md.event_datetime
+            if binary_md.sample_rate and not report_dict.get("sample_rate"):
+                report_dict["sample_rate"] = binary_md.sample_rate
+            if binary_md.record_time_sec and not report_dict.get("record_time_sec"):
+                report_dict["record_time_sec"] = binary_md.record_time_sec
+            # Calibration date (binary) vs calibration text (.txt) cohabit
+            # under different keys; no overwrite needed.
+            if binary_md.event_datetime and not report_dict.get("event_type"):
+                report_dict["event_type"] = (
+                    "Full Histogram" if is_histogram else "Full Waveform"
+                )
+
+        # Binary-derived peaks fill in when the .txt didn't supply them.
+        # They're ~3% low vs the device-authoritative .txt values (residual
+        # codec drift), so .txt always wins when present.
+        if binary_peaks is not None:
+            if binary_peaks.transverse_ips and not report_dict.get("tran_ppv"):
+                report_dict["tran_ppv"] = binary_peaks.transverse_ips
+            if binary_peaks.vertical_ips and not report_dict.get("vert_ppv"):
+                report_dict["vert_ppv"] = binary_peaks.vertical_ips
+            if binary_peaks.longitudinal_ips and not report_dict.get("long_ppv"):
+                report_dict["long_ppv"] = binary_peaks.longitudinal_ips
+
+        # 4. Build the typed IdfEvent.  Filename is authoritative for
+        # (serial, timestamp, kind); the report's event_datetime takes
+        # precedence over the filename timestamp inside from_report().
+        idf_event = IdfEvent.from_report(report_dict, source_path.name)
+
+        # The binary mic peak (psi) isn't carried through from_report() —
+        # IdfReport.from_dict only sees the .txt's dB(L) value.  Pull the
+        # binary-derived ``mic_pspl_psi`` onto the typed IdfEvent so the
+        # downstream bridge can populate ``PeakValues.micl`` (psi-shaped)
+        # and the h5 writer's per-count mic factor lands at a sensible
+        # value.  Without this, the h5 mic chart auto-scales against the
+        # dB(L) value-as-pseudo-psi and renders ~flat.
+        if binary_peaks is not None and binary_peaks.mic_pspl_psi is not None:
+            idf_event.peaks.mic_pspl_psi = binary_peaks.mic_pspl_psi
+
+        # Operator-supplied serial_hint wins over the binary's filename
+        # prefix when both are present (e.g. callers passing a known-good
+        # serial that overrides a misnamed export).
+        serial = serial_hint or idf_event.serial or "UNKNOWN"
+
+        # 5. Filesystem write of binary bytes.
+        filename = source_path.name
+        bw_path = self._serial_dir(serial) / filename
+        bw_path.write_bytes(idf_bytes)
+        filesize = bw_path.stat().st_size
+        sha256   = event_file_io.file_sha256(bw_path)
+
+        # _waveform_key dedups (serial, timestamp) rows in the events
+        # table.  Use the binary's sha256 (first 16 bytes) as a stable
+        # surrogate — every distinct binary maps to a distinct row.
+        waveform_key = bytes.fromhex(sha256)[:16]
+
+        # 6. Bridge to minimateplus.Event for the existing sidecar / DB
+        # insert paths.  See IdfEvent.to_minimateplus_event() for the
+        # caveats of this bridge (mic units, missing fields → sidecar).
+        ev = idf_event.to_minimateplus_event(waveform_key)
+
+        # Attach the decoded sample arrays.  Thor's decoder counts use
+        # LSB = 0.0003 in/s for geo (vs BW's 16-count units at 0.005 in/s)
+        # — the .h5 writer's geo_range="normal" yields LSB = 10/32768
+        # ≈ 0.000305 in/s, so plotted samples come out ~1.7% high.
+        # Acceptable known offset; refine with a Thor-aware h5 path later.
+        if idf_samples is not None:
+            ev.raw_samples = idf_samples
+            n_samples = max((len(idf_samples.get(ch, [])) for ch in ("Tran", "Vert", "Long", "MicL")), default=0)
+            ev.total_samples = ev.total_samples or n_samples
+
+        # For IDFH histograms there are no per-sample waveform arrays — the
+        # device stores one peak ADC count per interval per channel.  Synthesise
+        # a 1-sample-per-interval array so the existing h5+renderer pipeline
+        # (which groups samples down to ``n_intervals`` bars via max-per-group)
+        # produces a non-blank histogram chart.  Each "sample" is the peak ADC
+        # count for that interval, so the h5 writer's ``count × geo_fs/32768``
+        # conversion yields the right physical value for the bar height.
+        if is_histogram and idf_intervals:
+            hist_samples = {
+                "Tran": [iv.peak_count("Tran") for iv in idf_intervals],
+                "Vert": [iv.peak_count("Vert") for iv in idf_intervals],
+                "Long": [iv.peak_count("Long") for iv in idf_intervals],
+                "MicL": [iv.peak_count("MicL") for iv in idf_intervals],
+            }
+            ev.raw_samples = hist_samples
+            ev.total_samples = ev.total_samples or len(idf_intervals)
+
+        # 7. Write the .h5 clean-waveform file when we have samples to write
+        # (either the IDFW per-sample stream, or the IDFH synthesised per-
+        # interval peak array).  The renderer treats both shapes the same way.
+        hdf5_filename: Optional[str] = None
+        if ev.raw_samples:
+            hdf5_path = self.hdf5_path_for(serial, filename)
+            try:
+                event_hdf5.write_event_hdf5(
+                    hdf5_path, ev,
+                    serial=serial,
+                    geo_range="normal",   # Thor's geo full scale is also 10 in/s (Normal)
+                    source_kind="idf-import",
+                )
+                hdf5_filename = hdf5_path.name
+            except Exception as exc:
+                log.warning(
+                    "save_imported_idf: HDF5 write failed for %s: %s — continuing without .h5",
+                    hdf5_path, exc,
+                )
+
+        # 8. Write the sidecar.  Source kind "idf-import" is on the allow-list.
+        sidecar_path = self.sidecar_path_for(serial, filename)
+        existing_review = None
+        if sidecar_path.exists():
+            try:
+                existing_review = event_file_io.read_sidecar(sidecar_path).get("review")
+            except Exception:
+                pass
+
+        sidecar = event_file_io.event_to_sidecar_dict(
+            ev,
+            serial=serial,
+            blastware_filename=filename,
+            blastware_filesize=filesize,
+            blastware_sha256=sha256,
+            source_kind="idf-import",
+            a5_pickle_filename=None,
+            review=existing_review,
+        )
+        # Stash the full parsed IDF report under extensions so downstream
+        # consumers can recover the rich derived fields that don't fit
+        # the BW-shaped event model (Peak Acceleration / Displacement,
+        # Time of Peak, sensor self-check, calibration, firmware).
+        if report_dict:
+            sidecar["extensions"]["idf_report"] = report_dict
+
+        # Project the IDF report into the BW report sidecar shape so the
+        # existing Event Report PDF pipeline (sfm/report_pdf.py) can
+        # render Thor events without needing a separate code path.  Thor
+        # data is 95% the same metric set as BW — the adapter handles
+        # the field-name mapping.
+        if report_dict or binary_md is not None:
+            try:
+                from micromate.idf_to_bw_report import build_bw_report_from_idf
+                sidecar["bw_report"] = build_bw_report_from_idf(
+                    report_dict or {},
+                    binary_md=binary_md,
+                    intervals=idf_intervals,
+                    is_histogram=is_histogram,
+                )
+            except Exception as exc:
+                log.warning(
+                    "save_imported_idf: idf→bw_report adapter failed for %s: %s — "
+                    "report PDF will fall back to DB-only fields",
+                    filename, exc,
+                )
+        # For histograms, also stash the binary-decoded per-interval
+        # records so the UI / report layer doesn't need to re-walk the
+        # IDFH file at render time.
+        if idf_intervals is not None:
+            sidecar["extensions"]["idf_intervals"] = [
+                {
+                    "offset":     iv.offset,
+                    "tran_peak":  iv.peak_count("Tran"),
+                    "tran_halfp": iv.tran_halfp,
+                    "tran_freq":  iv.freq_hz("Tran"),
+                    "vert_peak":  iv.peak_count("Vert"),
+                    "vert_halfp": iv.vert_halfp,
+                    "vert_freq":  iv.freq_hz("Vert"),
+                    "long_peak":  iv.peak_count("Long"),
+                    "long_halfp": iv.long_halfp,
+                    "long_freq":  iv.freq_hz("Long"),
+                    "mic_peak":   iv.peak_count("MicL"),
+                    "mic_halfp":  iv.micl_halfp,
+                    "mic_freq":   iv.freq_hz("MicL"),
+                }
+                for iv in idf_intervals
+            ]
+        event_file_io.write_sidecar(sidecar_path, sidecar)
+
+        log.info(
+            "WaveformStore.save_imported_idf serial=%s filename=%s filesize=%d "
+            "kind=%s report_attached=%s binary_decoded=%s h5=%s intervals=%d",
+            serial, filename, filesize,
+            "histogram" if is_histogram else "waveform",
+            bool(report_dict),
+            (idf_samples is not None) or (idf_intervals is not None),
+            hdf5_filename or "(skipped)",
+            len(idf_intervals) if idf_intervals else 0,
+        )
+        return ev, {
+            "filename":           filename,
+            "filesize":           filesize,
+            "sha256":             sha256,
+            "a5_pickle_filename": None,
+            "hdf5_filename":      hdf5_filename,
+            "sidecar_filename":   sidecar_path.name,
+            "serial":             serial,
         }
 
     def load_a5(self, serial: str, filename: str) -> Optional[list[S3Frame]]: