Compare commits
7
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 serversdown
|
7d0d12079b | ||
|
serversdown
|
5203aab849 | ||
|
serversdown
|
5b65718b72 | ||
|
serversdown
|
483762607e | ||
|
serversdown
|
d0b66368d5 | ||
|
serversdown
|
2eb1d25028 | ||
 claude
|
cc821f9ee3 |
+4
-229
@@ -4,224 +4,7 @@ All notable changes to seismo-relay are documented here.
|
||||
|
||||
---
|
||||
|
||||
## v0.30.0 — 2026-09-12
|
||||
|
||||
**The series-4 correctness release** — the Thor / Micromate counterpart to
|
||||
v0.26.0's series-3 work. The decoder is now verified per-sample against
|
||||
Thor's own CSV exports: **459 waveform files, 3,807,158 / 3,807,165 samples
|
||||
exact** across three independent ground-truth corpora, and production IDFW is
|
||||
**575/575** with zero truncations and zero decode failures. Series-3
|
||||
re-verified **unchanged at 14,338/14,338** after every shared-codec change.
|
||||
|
||||
⚠ **This release owes the prod store a Thor backfill.** Every stored
|
||||
series-4 geophone value is **3.3% low**, and histogram peaks from monitoring
|
||||
runs longer than ~4 hours can be far worse (the interval cap discarded the
|
||||
tail, frequently the part holding the peak). Run
|
||||
`scripts/backfill_thor_events.py` — `TOOL_VERSION` is bumped to `0.30.0`, so
|
||||
regeneration is gated correctly and **no `--force` is needed**. DB backup
|
||||
first. Series-3 events are untouched by this release and do not need
|
||||
re-running.
|
||||
|
||||
⚠ **Terra-View displays these values.** Series-4 geophone readings will rise
|
||||
~3.3% after the backfill, and some histogram PPVs will rise a great deal more.
|
||||
That is a correction, not a regression.
|
||||
|
||||
|
||||
### Fixed — event-report PDF used a per-trace geo Y scale
|
||||
|
||||
The waveform plot scaled each geo lane to its own peak, so a small channel
|
||||
filled its lane and looked as large as a big one, and the `Geo: X in/s/div`
|
||||
footer reflected only whichever channel was measured first — wrong for the
|
||||
other two. All three geo lanes now share one symmetric scale (max |sample|
|
||||
across them, padded, 0.05 in/s floor), matching the event modal and BW's
|
||||
single amp/div; the footer reflects that shared scale. Mic keeps its own psi
|
||||
scale. Large events are unchanged.
|
||||
|
||||
### Fixed — series-4 (Thor / Micromate) decoder is now per-sample exact
|
||||
|
||||
Verified against **Thor's own CSV exports**, which carry a per-sample
|
||||
four-column block beside every binary (`CSV/<name>.IDFW.csv`) — 1,012 paired
|
||||
files that had been sitting in the corpus unused. Previous notes asserted
|
||||
"Thor has no ASCII ground truth", which is why the decoder stayed pinned to a
|
||||
superseded walker with an unverifiable scale factor.
|
||||
|
||||
| metric | before | after |
|
||||
|---|---|---|
|
||||
| IDFW per-sample exact | 39.1% | **100.000%** (1,057,536/1,057,536) |
|
||||
| IDFW files fully exact | 0/153 | **153/153** |
|
||||
| IDFW PPV median error | −3.32% | **−0.002%** |
|
||||
| IDFH within 2% of Thor PPV | 51.1% | **100.0%** (858/858) |
|
||||
| prod IDFW PPV median error (8 units) | −3.3% | **−0.001%** |
|
||||
| decode cost | — | 6 ms/file |
|
||||
|
||||
Four independent root causes:
|
||||
|
||||
- **Geo LSB was `0.0003`, should be `0.000310308`** — the old value was Thor's
|
||||
4-decimal *display rounding* of the LSB mistaken for the LSB, so every
|
||||
series-4 geophone sample read **3.3% low**. Pinned to ±6e-11 by
|
||||
intersecting 991,415 rounding constraints; corroborated by the ±full-scale
|
||||
seed (`±32226`) in unwritten IDFH slots. Applies to IDFH too, which had a
|
||||
separate (also wrong) `10.0/32768`.
|
||||
- **IDFH histograms were capped at 250 intervals** — the segment validator
|
||||
required the interval counter's high byte to be zero, but the counter is a
|
||||
uint16 cumulative index, so every segment past interval 255 was rejected.
|
||||
Any run over ~4 hours lost its tail, often the part holding the peak.
|
||||
540/858 corpus files affected.
|
||||
- **Record mode `00 00` (raw int16, 10-byte header) was unhandled** — the
|
||||
record fell through the dispatch, silently dropping each channel's first
|
||||
512 samples. This produced the long-standing "loud events truncate"
|
||||
symptom. `MODE_ABSOLUTE` is now also accepted as a segment-0 preamble.
|
||||
- **Body-offset search matched `00 02 00` inside record headers** — picking a
|
||||
candidate part-way down the chain, which decodes a rotation-shifted body
|
||||
that drops each channel's segment 0. The search now anchors on record
|
||||
headers and takes the chain head.
|
||||
|
||||
Also fixes the separately-tracked "UM-series decodes ~1000× low" bug
|
||||
(`UM11402_20260406130113.IDFW` now matches its device report exactly).
|
||||
|
||||
Series-3 re-verified **unchanged at 14,338/14,338 exact** after the shared
|
||||
`waveform_codec` change.
|
||||
|
||||
⚠ **This is a codec change: the Thor store owes a regeneration.** Run
|
||||
`scripts/backfill_thor_events.py` (bump `TOOL_VERSION` first, or pass
|
||||
`--force`), DB backup first. All stored series-4 `.h5`/sidecar peaks are
|
||||
currently ~3.3% low, and histogram peaks for runs over ~4 hours may be
|
||||
badly low.
|
||||
|
||||
⚠ **Thor's histogram PPV has a 0.0050 in/s display floor** — 41.4% of prod
|
||||
IDFH sidecars report a component PPV larger than their own vector sum. On
|
||||
quiet files the decoder is now *more* accurate than that reference.
|
||||
|
||||
New: `scratch/verify_thor_against_csv.py`, `tests/test_idf_binary_codec.py`
|
||||
(10 tests, fixtures under `tests/fixtures/thor-idf/`).
|
||||
|
||||
### Fixed — mic-disabled (3-channel) units
|
||||
|
||||
Verified on a second corpus (`9-10-26-csv-req`: UM11402, UM12947, UM20147) —
|
||||
**139/139 waveforms per-sample exact (1,273,380 samples), 877/877 histograms
|
||||
within 2%** (was 66.9% and 56.6%).
|
||||
|
||||
- **Waveform body head sat below the scan floor.** A 3-channel unit's shorter
|
||||
header puts the record chain head at `0x0dba`, under the old
|
||||
`_BODY_SCAN_FLOOR` of `0x0E00`. The scan couldn't see it and fell through
|
||||
to the Vert segment-0 record, decoding a body shifted one position around
|
||||
the channel rotation — Vert came up exactly 512 samples short. Floor
|
||||
lowered to `0x0C00`; body-offset scoring now accepts 3 channels as "equal"
|
||||
instead of demanding 4.
|
||||
- **Histogram interval record is 56 bytes, not 72.** It is
|
||||
`16 × n_channels + 8`, so mic-disabled units pack 56. Assuming 72 read 7
|
||||
intervals out of every 10-interval segment then walked off alignment into
|
||||
garbage decoding as ~10 in/s peaks (errors up to +191,000%). The interval
|
||||
count now comes from the segment's cumulative counter and the stride is
|
||||
derived from it; also recovers 4 files that decoded no intervals at all.
|
||||
|
||||
Combined across both corpora: **292/292 waveform files, 2,330,916/2,330,916
|
||||
samples exact.** Production IDFW truncations 41 → 22.
|
||||
|
||||
### Fixed — `40 NN` int16 blocks with NN > 8
|
||||
|
||||
`data_block_len()` rejected any `40 NN` block with `NN > 0x08`. The cap had
|
||||
no evidence behind it: every corpus available when it was written used only
|
||||
NN ∈ {1,2,3,4,8}, so it was never exercised. Loud UM12947 events use NN of
|
||||
12, 16, 20 … up to 196, and because the block walker stops at the first
|
||||
unrecognised tag rather than raising, rejecting them surfaced as **silently
|
||||
short channels** (e.g. Tran 1812 / Vert 2132 / Long 2324 on a file whose
|
||||
export has 2324 for all three). The bound is the buffer, not a constant.
|
||||
|
||||
Verified against Thor exports for UM12947 (2025-07-14 … 09-25, 167
|
||||
waveforms): length mismatches **22 → 0**, **1,476,242/1,476,249** samples
|
||||
exact. These are not truncated recordings — the exports carry full sample
|
||||
counts.
|
||||
|
||||
`tests/test_waveform_codec.py` asserted the cap as intended behaviour; that
|
||||
assertion was wrong and has been replaced with one pinning the opposite,
|
||||
carrying the evidence.
|
||||
|
||||
### Result across all three ground-truth corpora
|
||||
|
||||
**459 waveform files, 3,807,158 / 3,807,165 samples exact.** Production
|
||||
IDFW: **575/575**, zero truncations, zero decode failures, median PPV error
|
||||
−0.0007% across 8 units. Series-3 re-verified **unchanged at 14,338/14,338**
|
||||
after every shared-codec change.
|
||||
|
||||
The 7 residual samples each differ by one 4th-decimal tick and are **Thor's
|
||||
own rounding**: intersecting the per-sample rounding constraints over that
|
||||
corpus is infeasible (the binding pair contradict by 2.3e-11, 7e-5 relative),
|
||||
so no single linear LSB reproduces every printed value. `_GEO_LSB_IPS` is
|
||||
already pinned to ~1e-11 — do not retune it to chase these.
|
||||
|
||||
---
|
||||
|
||||
## v0.29.0 — 2026-09-04
|
||||
|
||||
First release to reach prod since **v0.27.0**, so it ships **both** the
|
||||
`false_trigger_reason` column below *and* the v0.28.0 offset (DC-baseline)
|
||||
detector: v0.28.0 was version-bumped in-tree (`TOOL_VERSION`, CHANGELOG) but
|
||||
never tagged or deployed, so 0.29.0 is the first build to carry either to prod.
|
||||
Pairs with Terra-View ≥ 0.24.0. The `false_trigger_reason` column auto-migrates
|
||||
on startup; the offset detector still needs the shape backfill on the prod store
|
||||
(`scripts/backfill_event_shape.py`) to populate `shape_offset*` on existing rows.
|
||||
|
||||
### Added
|
||||
- **`events.false_trigger_reason` — optional FT cause.** A nullable `TEXT`
|
||||
column recording *why* an event is a false trigger (e.g. `"offset"`), as a
|
||||
subtype of the FT flag: setting a reason via the sidecar review PATCH implies
|
||||
`false_trigger=1`, and the reason is cleared whenever FT ends up 0
|
||||
(confirm-real, clear-FT, `set_false_trigger(false)`). `propagate_review_to_twins`
|
||||
carries the reason to the histogram/waveform twin alongside the flag.
|
||||
Auto-migrated (`_SCHEMA` + `_migrate` ADD COLUMN — not the Migration-1
|
||||
rebuild); exposed via `/db/events`. Terra-View surfaces it as a manual
|
||||
"Flag as offset" action + an `FT · offset` badge.
|
||||
|
||||
### Fixed
|
||||
- **BlastMate serials — the family prefix is read from the file, not guessed.**
|
||||
The Blastware filename encodes only the serial *number* (`L895…` → 10895);
|
||||
the two-letter prefix is not in it. `waveform_store` synthesised `"BE"`, so
|
||||
an imported **BlastMate** (serials `BA…`) was filed under a MiniMate Plus
|
||||
serial that does not exist — silently, and Terra-View read it straight
|
||||
through. `save_imported_bw` now resolves serial as hint → file body →
|
||||
filename guess, via a new `_serial_from_bw_bytes` that accepts a candidate
|
||||
only when its numeric part matches the filename. `client._decode_0a_partial_header`
|
||||
likewise matched a literal `b"BE"` in monitor-log partial records; on a
|
||||
BlastMate that returned −1 and skipped the whole block, losing the **geo
|
||||
threshold** along with the serial. It now matches any two-letter prefix and
|
||||
requires the NUL terminator — stricter than the search it replaces.
|
||||
|
||||
BlastMate is the MiniMate Plus's larger Series III sibling and its files are
|
||||
byte-compatible: all 1,493 in the DL2 archive decode through the existing
|
||||
codec at 100%, same four channels. **The serial string was the only thing
|
||||
blocking BlastMate support in SFM.** Four archive units were affected —
|
||||
BA9229, BA10060, BA10895, BA15957.
|
||||
|
||||
**No backfill and no `TOOL_VERSION` bump**: this changes which serial an
|
||||
*import* is filed under, not any decoded value, so existing sidecars and
|
||||
`.h5` files are untouched. **No migration either** — prod holds no BlastMate
|
||||
events (the archive's BA units last recorded 2018-10 through 2023-11; the
|
||||
prod backfill reaches back only to ~May 2025).
|
||||
|
||||
---
|
||||
|
||||
## v0.28.0 — 2026-09-02
|
||||
|
||||
**Offset (DC-baseline) false-trigger detector.** Productionizes the validated
|
||||
pre-trigger detector: a geophone event whose baseline sits off zero and stays
|
||||
flat across the record (sensor bumped / settled / drifted) is now flagged and
|
||||
surfaced in Terra-View as an `offset` false-trigger reason — catching offsets the
|
||||
crest/near-peak spike rule misses (an offset is low-crest and flat).
|
||||
|
||||
### Added
|
||||
- `shape_metrics.offset_from_samples` / `offset_from_h5`: per geophone channel,
|
||||
`|median(pre-trigger)| ≥ 0.025 in/s` AND `pre/mid/end spread ≤ 0.02` → offset;
|
||||
the consistency test rejects transients (a real event moves one third). Reads
|
||||
the `.h5` samples + the `pretrig_samples` attr, range-aware via the in/s float
|
||||
samples. Constants `OFFSET_FLOOR` / `OFFSET_MAX_SPREAD` are tunable.
|
||||
- `events.shape_offset` / `shape_offset_axis` / `shape_offset_pre` /
|
||||
`shape_offset_spread` columns (auto-migrated: `_SCHEMA` + the `_migrate`
|
||||
ADD COLUMN loop), computed at all three ingest paths and by
|
||||
`backfill_event_shape.py`, exposed via `/db/events`.
|
||||
|
||||
Requires the shape/offset backfill on the prod store to populate existing events:
|
||||
`python scripts/backfill_event_shape.py --db-path … --store-root …`.
|
||||
## [Unreleased]
|
||||
|
||||
---
|
||||
|
||||
@@ -256,17 +39,9 @@ carried, and it found one real codec bug (below).
|
||||
walk double-counts every binary — 127,035 paths are 63,535 distinct files. The
|
||||
ASCII exports are *not* mirrored, so the 14,340 pair count is already distinct.)
|
||||
|
||||
**No prod backfill is required for this.** Verified after the fact: all four
|
||||
recovered files are archive-only — none exists in the production store or the
|
||||
events DB — and re-running stride detection over the production store's
|
||||
**10,215** histogram binaries shows **0 files whose decode changes**. The fix
|
||||
matters for future ingests of sub-minute histograms with a partial final block,
|
||||
not for anything already stored.
|
||||
|
||||
(`TOOL_VERSION` moves with the release, so whenever a backfill *is* next run for
|
||||
some other reason it will regenerate the whole store rather than skipping. That
|
||||
is harmless — the output is byte-identical for every currently-stored file — but
|
||||
it means the run takes its full ~2 hours on the NAS.)
|
||||
⚠ Prod stores hold `.h5` files generated before this fix. Those 4 events stay
|
||||
empty until `backfill_sidecars.py` is re-run — not worth a two-hour prod backfill
|
||||
on its own; fold it into the next one.
|
||||
|
||||
- **Histogram/waveform twin matching is now interval-based** (`find_twins`). A real
|
||||
trigger is recorded twice — as a triggered waveform (stamped at the trigger instant)
|
||||
|
||||
@@ -2,11 +2,7 @@
|
||||
|
||||
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: **v0.30.0**.
|
||||
|
||||
Stack-level context — which repo owns what, and how the three project versions
|
||||
pair — lives in `../terra-view/docs/tmi-stack.md`, which is also loaded as
|
||||
`~/CLAUDE.md`.
|
||||
(Sierra Wireless RV50 / RV55). Current version: **v0.27.0**.
|
||||
|
||||
---
|
||||
|
||||
@@ -24,43 +20,9 @@ Read this first when picking the project back up.
|
||||
Independent corroboration of the 32000-count scale: 19,244 healthy
|
||||
channel-events sit at a pre-trigger floor of exactly 0.000 (62.7%), 94.5%
|
||||
within ±1 quantisation unit, median +0.0000 — no zero-point bias.
|
||||
- **Series-4 (Thor / Micromate) is now verified per-sample (2026-09-10).**
|
||||
**1,057,536 / 1,057,536** geo samples across all 153 genuine Thor waveform
|
||||
files reproduce Thor's own CSV export exactly; IDFH peaks are within 2% on
|
||||
858/858 (median -0.004%). The ground truth was in the corpus all along —
|
||||
Thor writes `CSV/<name>.IDFW.csv` beside each binary with a **per-sample**
|
||||
four-column block. Harness: `scratch/verify_thor_against_csv.py`.
|
||||
Four bugs, all fixed: geo LSB was `0.0003` (display rounding of the real
|
||||
`0.000310308`, so every sample read **3.3% low**); the IDFH segment
|
||||
validator required a zero counter high byte, **capping every histogram at
|
||||
250 intervals**; record mode `00 00` (raw int16) was unhandled, silently
|
||||
dropping each channel's first 512 samples; and the body-offset search
|
||||
matched `00 02 00` *inside* record headers, decoding a rotation-shifted
|
||||
body. IDFW is no longer pinned to `decode_waveform_legacy`.
|
||||
Series-3 re-verified unchanged at 14,338/14,338 after the shared-codec
|
||||
change.
|
||||
- **Mic-disabled (3-channel) units are a distinct shape (2026-09-10).**
|
||||
Verified on a second corpus (`~/thor-csv-req`, UM11402/UM12947/UM20147):
|
||||
**139/139** waveforms per-sample exact, **877/877** histograms within 2%.
|
||||
Two structural differences: the shorter header puts the waveform record
|
||||
chain head at `0x0dba` (below the old `_BODY_SCAN_FLOOR` of `0x0E00`, so it
|
||||
was invisible and Vert came up exactly 512 short), and the histogram
|
||||
interval record is **56 bytes, not 72** — `16 × n_channels + 8`, derived per
|
||||
segment from the cumulative interval counter, never assumed.
|
||||
- **`40 NN` blocks are not capped at NN=8 (2026-09-11).** `data_block_len()`
|
||||
rejected `NN > 0x08`, a guard with no evidence behind it — the corpora
|
||||
available when it was written only used NN ∈ {1,2,3,4,8}. Loud UM12947
|
||||
events use NN up to 196, and since the walker stops at the first
|
||||
unrecognised tag rather than raising, this surfaced as silently short
|
||||
channels. Verified on 167 UM12947 waveforms: length mismatches 22 → 0,
|
||||
1,476,242/1,476,249 samples exact.
|
||||
- **Production IDFW is now 575/575** — zero truncations, zero decode
|
||||
failures, median PPV error −0.0007% across 8 units (was 41 truncated + 1
|
||||
failing, −3.3%). Across all three ground-truth corpora: **459 files,
|
||||
3,807,158/3,807,165 samples exact**; the 7 stragglers differ by one
|
||||
4th-decimal tick and are Thor's own rounding — no single linear LSB can
|
||||
reproduce every printed value (the constraints are infeasible by 7e-5
|
||||
relative), so do NOT retune `_GEO_LSB_IPS`.
|
||||
- **Series-4 (Thor / Micromate) is NOT verified.** UM-series sits at ~48%
|
||||
against device peaks with a ~1.7% systematic bias and a near-zero tail.
|
||||
Thor IDFW is pinned to `decode_waveform_legacy` deliberately.
|
||||
- **Open, not blocking:** 14 sensitive-range files show an exact 8x
|
||||
(= 10.0/1.25) units discrepancy; `scripts/backfill_sidecars.py --force` also
|
||||
inserts DB rows for store files that have none (one-time per store) and the
|
||||
@@ -71,9 +33,8 @@ Read this first when picking the project back up.
|
||||
(it gates regeneration). ⚠ On the office NAS this takes **~2 hours**
|
||||
(~1.5 files/sec vs 85/sec on the dev box — gzip-4 in `sfm/event_hdf5.py`
|
||||
against a Synology CPU). Budget it up front.
|
||||
**v0.27.0 does NOT owe prod a backfill** — verified: the partial-final-block
|
||||
fix changes 0 of the 10,215 histograms in the prod store (the 4 recovered
|
||||
files are archive-only and were never ingested).
|
||||
**v0.27.0 owes prod a backfill:** the partial-final-block fix recovers 4
|
||||
histograms that are still empty in the store.
|
||||
- **The "offset" hardware fault has its own journal** --
|
||||
`docs/offset_investigation.md`. **5 of 45 units (11%)**, and the fault is
|
||||
**persistent** — it stays until the geophone is serviced. Detect it with
|
||||
@@ -154,34 +115,20 @@ 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 (updated 2026-09-10)
|
||||
#### Thor IDF binary codec (2026-05-28)
|
||||
|
||||
`micromate/idf_file.read_idf_file()` decodes both Thor IDFW
|
||||
(waveform) and IDFH (histogram) binaries. **Verified per-sample
|
||||
against Thor's own CSV exports** — see
|
||||
`scratch/verify_thor_against_csv.py`.
|
||||
(waveform) and IDFH (histogram) binaries.
|
||||
|
||||
- **IDFW** uses the series-3 record-chain `decode_waveform_v2()`. The
|
||||
body offset is **not** fixed: it is `<chain-head record> + 7`, found
|
||||
by `_find_waveform_body_offset()` anchoring on record headers. All
|
||||
**153/153** genuine Thor waveform files decode per-sample exact
|
||||
(1,057,536/1,057,536 samples).
|
||||
- **IDFH** segment header is `[len_be][0a 00 00 00][counter_be][05 3f]`,
|
||||
where `counter` is a **uint16 cumulative interval index** — it must
|
||||
not be constrained to a zero high byte (that capped histograms at 250
|
||||
intervals). Intervals whose `min > max` on all channels are unwritten
|
||||
slots carrying a ±full-scale seed and are skipped. 858/858 files land
|
||||
within 2% of Thor's PPV (median -0.004%).
|
||||
- **Geo LSB is `0.000310308` in/s per count** (full scale 10.0 in/s =
|
||||
32226.05 counts). Series-3's 32000-count scale does NOT apply.
|
||||
- **Record modes** are `02 00` deltas (14 B header), `01 00` absolute,
|
||||
`00 03` raw 12-bit, and `00 00` **raw int16** (all 10 B headers).
|
||||
`01 00` and `00 00` are also valid as the implicit segment-0 preamble.
|
||||
|
||||
⚠ **Thor's histogram PPV has a 0.0050 in/s display floor.** 41.4% of
|
||||
prod IDFH sidecars report a component PPV exceeding their own vector
|
||||
sum — impossible. On quiet files our decode is *more* accurate than
|
||||
the reference; do not "fix" the decoder to match it.
|
||||
- **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`
|
||||
@@ -447,19 +394,15 @@ with zero mismatches. Before: 1 of 1196.
|
||||
`BE12599/N599LPWJ.980W` @849, `BE9558/K558LOF2.820W` @1485.
|
||||
(The series-3 histogram codec was fixed 2026-08-25 — see below.)
|
||||
|
||||
- ~~**Micromate (UM-series) IDF decode is ~1000× low**~~ — FIXED 2026-09-10.
|
||||
`UM11402_20260406130113.IDFW` now decodes Tran 1.1168 / Vert 4.3220 /
|
||||
Long 0.9135, matching the device report exactly. Root cause was the
|
||||
body-offset search landing inside a record header plus the unhandled
|
||||
`00 00` record mode, not anything UM-specific.
|
||||
- ~~**Thor IDF per-count LSB**~~ — RESOLVED 2026-09-10. The 0.983 ratio was
|
||||
exactly `0.0003 / 0.000310308`. Thor's geo LSB is **0.000310308 in/s per
|
||||
count** (full scale 10.0 in/s = 32226.05 counts), pinned to ±6e-11 by
|
||||
intersecting 991,415 rounding constraints from Thor's own exports and
|
||||
corroborated by the ±full-scale seed (`±32226`) left in unwritten IDFH
|
||||
interval slots. Series-3's 32000-count scale does **not** carry over.
|
||||
Note `10.0/32226` is very slightly wrong — see
|
||||
`docs/idf_protocol_reference.md`.
|
||||
- **Micromate (UM-series) IDF decode is ~1000× low** — e.g.
|
||||
`UM11402_20260406130113.IDFW` gives a Tran peak of 0.0009 in/s against
|
||||
a device-reported 1.1168. The Thor IDF path decodes sanely, so this
|
||||
is UM-specific.
|
||||
- **Thor IDF per-count LSB** — after the 32000 geo full-scale
|
||||
correction, series-4 Thor peaks sit at a median 0.983 of the
|
||||
device-reported peak (was 0.960 under 32768). Closer but not exact;
|
||||
Thor likely uses its own per-count LSB rather than the BW
|
||||
16-count/0.005 in/s convention.
|
||||
|
||||
### Decoded sample counts (across the fixture bundle)
|
||||
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
# seismo-relay `v0.30.0`
|
||||
# seismo-relay `v0.27.0`
|
||||
|
||||
A ground-up replacement for **Blastware** — Instantel's aging Windows-only
|
||||
software for managing seismographs. Supports both the **MiniMate Plus
|
||||
|
||||
@@ -6,15 +6,7 @@ Series IV event-file format. Sibling to
|
||||
Series III "Rosetta Stone") — this doc holds what we know so far and
|
||||
the open questions still to crack.
|
||||
|
||||
> ⚠ **The "Status (2026-05-28)" block below is SUPERSEDED.** Its geo LSB
|
||||
> (0.0003), its IDFH scale (`/32768 × 10`), its fixed body offset (`0x0f1f`)
|
||||
> and its "87–99% byte-exact / loud events truncate" caveat were all wrong or
|
||||
> incomplete. See **[Verified against Thor's own exports
|
||||
> (2026-09-10)](#verified-against-thors-own-exports-2026-09-10)** — the
|
||||
> decoder is now per-sample exact on 1,057,536/1,057,536 samples. The block
|
||||
> is kept only for the reverse-engineering trail.
|
||||
|
||||
**Status (2026-05-28, SUPERSEDED):** ASCII text sidecar fully decoded (1,014
|
||||
**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,
|
||||
@@ -52,220 +44,6 @@ signature and raises `NotImplementedError` pointing callers at
|
||||
time-of-peak); the two uint16 fields (probably PVS contributions);
|
||||
8-byte interval tail (PVS data); mic dB(L) exact conversion constant.
|
||||
|
||||
## Verified against Thor's own exports (2026-09-10)
|
||||
|
||||
**The series-4 decoder is now per-sample exact.** 1,057,536 / 1,057,536
|
||||
geophone samples across all 153 genuine Thor waveform files reproduce Thor's
|
||||
own CSV export exactly; histogram peaks land within 2% on 858/858 files
|
||||
(median error −0.004%).
|
||||
|
||||
### Ground truth — it was there all along
|
||||
|
||||
Thor writes `TXT/`, `CSV/`, `XML/` and `PDF/` exports beside every binary:
|
||||
|
||||
```
|
||||
<serial dir>/UM13981_20220207084555.IDFW
|
||||
<serial dir>/CSV/UM13981_20220207084555.IDFW.csv
|
||||
```
|
||||
|
||||
The **CSV carries a per-sample block** — four columns (Tran, Vert, Long, Mic)
|
||||
in in/s and psi, after the 2-column report header. That is the series-4
|
||||
equivalent of Blastware's `_ASCII.TXT` exports, and it gives 1,012 paired
|
||||
files (152 IDFW + 860 IDFH). Earlier notes in this file and in
|
||||
`micromate/idf_file.py` asserted "Thor has no ASCII ground truth in the
|
||||
corpus"; that was wrong, and it is why the decoder sat pinned to a
|
||||
superseded walker with a scaling constant nobody could check.
|
||||
|
||||
Harness: `scratch/verify_thor_against_csv.py`.
|
||||
|
||||
### Geo LSB = 0.000310308 in/s per count (NOT 0.0003)
|
||||
|
||||
The old 0.0003 was read off the smallest non-zero sample in the exports —
|
||||
but that is Thor's **4-decimal display rounding of the LSB, not the LSB**.
|
||||
It read every series-4 geophone sample **3.3% low**. The quantisation
|
||||
ladder gives it away: counts 1..6 export as 0.0003, 0.0006, 0.0009, 0.0012,
|
||||
0.0016, 0.0019 — an LSB of exactly 0.0003 would end 0.0015, 0.0018.
|
||||
|
||||
Each exported sample constrains the LSB to the window that rounds to its
|
||||
printed value. Intersecting 991,415 such constraints gives
|
||||
|
||||
```
|
||||
LSB ∈ [0.000310307933, 0.000310308057] width 1.2e-10
|
||||
```
|
||||
|
||||
so `_GEO_LSB_IPS = 0.000310308`, i.e. full scale 10.0 in/s = **32226.05
|
||||
counts**. Corroboration: an IDFH interval that never recorded keeps its
|
||||
min/max accumulator at its ±full-scale seed, and that seed is
|
||||
`(min=+32226, max=-32226)`. ⚠ The tempting closed form `10.0/32226` is
|
||||
very slightly wrong — it lands 4.5e-10 above the feasible window and loses
|
||||
78 boundary samples while never winning one. **Series III uses 32000 counts
|
||||
for the same 10.0 in/s, so the two generations do not share a scale.**
|
||||
|
||||
Independently confirmed on 8 production units (UM6047, UM11402, UM11719,
|
||||
UM12947, UM13981, UM14133, UM20146, UM20147): every unit's median PPV error
|
||||
against its device-reported peak moved from −3.3% to within ±0.03%. It is a
|
||||
global constant, not a per-unit calibration.
|
||||
|
||||
### IDFH segment header: the counter is a uint16, and it is cumulative
|
||||
|
||||
```
|
||||
[length_be 2B][0a 00 00 00][counter_be 2B][05 3f]
|
||||
```
|
||||
|
||||
`counter` is the **0-based cumulative index of the last interval in the
|
||||
segment** — 9, 19, 29, ... for the usual 10-intervals-per-segment layout
|
||||
(`length` = 730).
|
||||
|
||||
The validator used to require `counter`'s high byte to be `0x00`. That
|
||||
silently **capped every histogram at 250 intervals**: once the cumulative
|
||||
counter passed 255 the high byte went non-zero and every later segment was
|
||||
rejected. Any run longer than ~4 hours lost its tail — frequently the part
|
||||
holding the event peak, so the file's PPV read low. **540 of 858 corpus
|
||||
files were affected**; fixing it moved histogram peaks from 48.3% to 93.8%
|
||||
within 0.5% of Thor's reported PPV.
|
||||
|
||||
### Unwritten interval slots carry a ±full-scale seed
|
||||
|
||||
An interval the device reserved but never wrote keeps `min = +32226`,
|
||||
`max = -32226` on all four channels — `min > max`, impossible for real data.
|
||||
Decoded naively it yields a 10.0 in/s peak on every channel and, being a
|
||||
max-over-intervals, poisons the whole file's PPV. Rare but real: exactly 1
|
||||
of 497,611 corpus intervals, and it inflated that file's Long PPV from
|
||||
0.0081 to 10.0 in/s. The inversion is all-or-nothing across channels (0
|
||||
partial cases), so requiring every channel to be inverted is a safe test.
|
||||
|
||||
### Record mode `00 00` — raw int16 absolute (MODE_RAW16)
|
||||
|
||||
The record chain's mode field at `off+8` takes a fourth value:
|
||||
|
||||
| mode | meaning | header |
|
||||
|---|---|---|
|
||||
| `02 00` | deltas + two int16 anchors | 14 B |
|
||||
| `01 00` | absolute, tagged blocks | 10 B |
|
||||
| `00 03` | raw 12-bit absolute, untagged | 10 B |
|
||||
| **`00 00`** | **raw int16 BE absolute, untagged** | **10 B** |
|
||||
|
||||
A `MODE_RAW16` record with `length = 1032` carries exactly
|
||||
`(1032 - 8) / 2 = 512` samples and reproduced Thor's export **512/512
|
||||
exactly** on first test. Thor uses it for segment 0 (the pre-trigger
|
||||
window) on some events. Before this mode existed the record fell through
|
||||
the dispatch unhandled, so the channel silently lost its first 512 samples —
|
||||
which is what produced the "loud events truncate" symptom.
|
||||
|
||||
`MODE_ABSOLUTE` is also valid as a **preamble** (the implicit segment-0 Tran
|
||||
record); its tagged blocks start at `body[3]`, not `body[7]`, because its
|
||||
header is 10 bytes rather than 14.
|
||||
|
||||
### Body offset is not fixed at 0x0f1f — and 0x0f1f is really a record + 7
|
||||
|
||||
A "body offset" is `<record start> + 7`, so that `body[0]` is the segment
|
||||
index and `body[1:3]` is the mode. The canonical `0x0f1f` is simply the
|
||||
record at `0x0f18`.
|
||||
|
||||
Searching for the literal preamble `00 02 00` finds only MODE_DELTA bodies,
|
||||
and worse, it **matches the `[seg][mode]` bytes inside any record header**,
|
||||
so the scan could pick a candidate part-way down the chain. That decodes a
|
||||
plausible-looking but rotation-shifted body which drops each channel's
|
||||
segment 0 — the real cause of the remaining truncations.
|
||||
|
||||
`_find_waveform_body_offset()` now anchors on record headers (the
|
||||
`<channel_id> 00 00` signature at `+4`, validated with `is_record()`),
|
||||
takes the **chain head** — a record no other record's length field points at
|
||||
— and trial-decodes `head + 7`, preferring the candidate where all four
|
||||
channels come out the same length.
|
||||
|
||||
⚠ Do **not** scan for candidate preambles instead: `MODE_RAW16` is
|
||||
`00 00`, so every run of three zero bytes looks like a body start and each
|
||||
costs a full trial decode (~0.5 s/file measured, vs 6 ms/file now).
|
||||
|
||||
### `40 NN` is not capped at NN=8 (2026-09-11)
|
||||
|
||||
`data_block_len()` rejected any `40 NN` int16 block with `NN > 0x08`. The cap
|
||||
had no evidence behind it — every corpus available when it was written used
|
||||
only NN ∈ {1, 2, 3, 4, 8}, so it was never exercised. Loud events use much
|
||||
wider blocks:
|
||||
|
||||
| corpus | `40 NN` values | walker stops |
|
||||
|---|---|---|
|
||||
| first + 3-channel corpora | 1, 2, 3, 4, 8 | none |
|
||||
| UM12947 2025-07..09 | 2, 4, 8, **12, 16, 20 … 196** | every value > 8 |
|
||||
|
||||
Because `walk_body`/`run` stop at the first unrecognised tag rather than
|
||||
raising, this surfaced as **silently short channels** — e.g. Tran 1812 /
|
||||
Vert 2132 / Long 2324 on a file whose export has 2324 for all three. The
|
||||
real bound is the buffer (and the caller's record end), not a magic constant.
|
||||
|
||||
Verified against Thor's exports for UM12947 (2025-07-14 … 2025-09-25, 167
|
||||
waveforms): length mismatches **22 → 0**, and **1,476,242 / 1,476,249**
|
||||
samples exact.
|
||||
|
||||
⚠ These events are **not** truncated recordings, which was the competing
|
||||
hypothesis — the exports carry the full sample count.
|
||||
|
||||
**The 7 residual samples are Thor's rounding, not ours.** Each differs by
|
||||
exactly one 4th-decimal tick (e.g. decoded 3.3551 vs export 3.3550).
|
||||
Intersecting the per-sample rounding constraints over this corpus is
|
||||
**infeasible** — the binding pair (count 2013 → 0.6247, count 4351 → 1.3501)
|
||||
contradict by 2.3e-11, i.e. 7e-5 relative. No single linear LSB can
|
||||
reproduce every printed value, so Thor is not doing plain round-half-up on
|
||||
`count × LSB`. Do not retune `_GEO_LSB_IPS` to chase these; it is already
|
||||
pinned to ~1e-11.
|
||||
|
||||
### Mic-disabled units are a distinct shape (2026-09-10, second corpus)
|
||||
|
||||
Some units run with the microphone disabled — **3 channels, not 4** — and that
|
||||
changes two structural things. Confirmed on the `9-10-26-csv-req` corpus
|
||||
(UM11402, UM12947, UM20147): 139/139 waveforms and 877/877 histograms.
|
||||
|
||||
**Waveform: the body starts earlier.** A 3-channel unit has a shorter fixed
|
||||
header and puts its record chain head at **`0x0dba`**, below the old
|
||||
`_BODY_SCAN_FLOOR` of `0x0E00`. The head was therefore invisible to the scan,
|
||||
which fell through to the *Vert* segment-0 record and decoded a body shifted
|
||||
one position around the channel rotation. The signature is unmistakable:
|
||||
|
||||
```
|
||||
Tran 3072 / Vert 2560 / Long 3072 / MicL 0 <- Vert exactly 512 short
|
||||
```
|
||||
|
||||
46 of 139 files in that corpus were affected; all 46 became per-sample exact
|
||||
once the floor dropped to `0x0C00`. Note the body-offset scoring also had to
|
||||
stop requiring four channels — `len(lengths) >= 3`, not `== 4`, or `equal` is
|
||||
permanently False for these events and the pick falls back to raw sample count.
|
||||
|
||||
**Histogram: the interval record is 56 bytes, not 72.**
|
||||
|
||||
```
|
||||
interval_size = 16 × n_channels + 8 (72 for 4 channels, 56 for 3)
|
||||
```
|
||||
|
||||
It is **not a constant**, and it cannot be inferred from `length` alone.
|
||||
Derive the interval count from the segment counter — it is cumulative, so
|
||||
`n = counter - previous_counter` — and then `stride = (length - 10) / n`.
|
||||
`n_channels` follows from `(stride - 8) / 16`.
|
||||
|
||||
Assuming 72 read 7 intervals out of each 10-interval segment and then walked
|
||||
off alignment into garbage that decoded as ~10 in/s peaks — inflating those
|
||||
files' PPV by up to 191,000%. Fixing it moved the second corpus from 56.6% to
|
||||
**100.0%** of histograms within 2% of Thor's reported PPV, and recovered 4
|
||||
files that previously decoded no intervals at all.
|
||||
|
||||
### What is still open
|
||||
|
||||
- ~~23 of 575 production IDFW files~~ — **RESOLVED 2026-09-11.** Production
|
||||
IDFW is now **575/575** with zero truncations and zero decode failures
|
||||
(median PPV error −0.0007%). See "`40 NN` is not capped at NN=8" above.
|
||||
|
||||
- Mic → psi scale is still the rough `2.14e-6` regression, not derived.
|
||||
- Per-channel `int16 field4` in the IDFH interval record (possibly
|
||||
time-of-peak) and the 8-byte tail (PVS data) remain undecoded.
|
||||
|
||||
⚠ **Thor's histogram PPV has a display floor of 0.0050 in/s.** In the
|
||||
production store 6,080 sidecar PPV values are exactly 0.0050 (next most
|
||||
common value: 275 occurrences), and **41.4% of IDFH sidecars report a
|
||||
component PPV larger than their own vector sum** — geometrically impossible.
|
||||
On those quiet files the decoder's ~0.0025 in/s is *more* accurate than the
|
||||
reference; do not "fix" the decoder to match it.
|
||||
|
||||
### Codec breakthroughs (2026-05-28)
|
||||
|
||||
- **Body offset is a fixed `0x0f1f`** across 151/154 corpus IDFW
|
||||
|
||||
@@ -58,14 +58,6 @@ Companion material:
|
||||
sensor-check failures. Do not try to use it as a screen.
|
||||
- **Cause is still unsettled.** Instantel's autozero fixes the minority of
|
||||
cases; the rest are hardware. We cannot yet tell which is which remotely.
|
||||
- **The histogram corpus (63,535 files, 9.7x the waveforms) is now scanned too** —
|
||||
see §8b. It independently confirms BE18438 and BE9558 with a clean 2.5x
|
||||
separation, but detects only **2 of the 5** confirmed units, cannot attribute a
|
||||
channel, and resolves time to ~a month. **A negative histogram result is not
|
||||
evidence of health** — DC leakage into the interval peak varies 45x between units.
|
||||
- **`offset_scan3.py` has a label defect** (§8b): its spread gate discards 18.8% of
|
||||
high-|pre| rows onto units currently counted as clean. Re-cut before quoting any
|
||||
precision number again.
|
||||
- **Best open lead:** `SUB 0x0E` (channel sensor data, 8 channels × 10 bytes,
|
||||
unimplemented) may carry the very numbers Instantel says to check against
|
||||
**2027–2069**. Untested.
|
||||
@@ -154,8 +146,8 @@ is the discriminator — and it is what the field experience predicts.
|
||||
| runs of >=3 consecutive | — | 29 |
|
||||
| runs of 1-2 events (noise) | — | 69 |
|
||||
|
||||
Units with a sustained pedestal: **BE9558, BA10895, BE11007, BE11529, BE12599,
|
||||
BE13117, BE18003, BE18438**. BA10895 and BE18003 were invisible to v1.
|
||||
Units with a sustained pedestal: **BE9558, BE10895, BE11007, BE11529, BE12599,
|
||||
BE13117, BE18003, BE18438**. BE10895 and BE18003 were invisible to v1.
|
||||
|
||||
**The affected channel is most often Vert**, which v1 got wrong — it named
|
||||
whichever axis had the largest peak. BE13117 and BE18438 are both Vert faults.
|
||||
@@ -226,7 +218,7 @@ signal from a tuned one:
|
||||
|
||||
**BE9558, BE11529, BE12599, BE13117, BE18438.**
|
||||
|
||||
Unchanged across a 2x threshold range. BE11007 and BA10895 drop out — the
|
||||
Unchanged across a 2x threshold range. BE11007 and BE10895 drop out — the
|
||||
spread test identifies them as transients, not pedestals.
|
||||
|
||||
The 11% headline happens to match v1's, but the reasoning and the unit list
|
||||
@@ -503,459 +495,6 @@ doubled two reported figures before it was caught.
|
||||
|
||||
---
|
||||
|
||||
## 8b. The histogram corpus — the other 90% of the archive (2026-09-04)
|
||||
|
||||
Every result above §8 comes from **waveform** files. `offset_scan3.py` filters on
|
||||
`\.[A-Za-z0-9]{2}0[Ww]$`, so the corpus it scanned is 6,577 unique binaries. The
|
||||
archive also holds **63,535 unique histograms** — 9.7x more files — which the
|
||||
pre-trigger method cannot touch, because a histogram carries no samples: only a
|
||||
per-interval, per-channel peak and half-period.
|
||||
|
||||
`scratch/offset_hist_scan.py` scans them. **63,505 of 63,535 decoded (99.95%),
|
||||
43 units, 77.9M intervals.** Two of the 45 units have no histograms at all.
|
||||
Output: `/home/serversdown/dl2-archive/offset_hist.csv` (190,515 channel-rows).
|
||||
|
||||
### The premise, and how far it actually holds
|
||||
|
||||
A histogram file is hours of continuous monitoring, so most of its intervals are
|
||||
definitionally quiet, and a channel parked off zero cannot report a peak below
|
||||
its own displacement. The signal is real — two within-unit contrasts, siblings
|
||||
unmoved in both:
|
||||
|
||||
| unit | channel | in-episode floor | outside | waveform \|pre\| same window |
|
||||
|---|---|---|---|---|
|
||||
| BE18438 | Vert | 0.0350 | 0.0050 | +0.18 .. +0.37 |
|
||||
| BE12599 | Tran | 0.0250 | 0.0050 | +0.03 .. +0.49 |
|
||||
|
||||
But the **leakage from a waveform pedestal into the histogram floor is bimodal,
|
||||
not merely partial**: measured ratio ~0.9 on BE18438 Vert, ~0.7 on BE9558,
|
||||
**~0.02 on BE12599** — two orders of magnitude on one instrument. The device
|
||||
evidently measures each interval peak against a running baseline, and how much
|
||||
DC survives that varies per unit. **Consequence: a negative histogram result
|
||||
carries almost no information.** Do not read "clean in the histograms" as clean.
|
||||
|
||||
### The detector that survived
|
||||
|
||||
dmin(file, ch) = min[ch] - min over the other two geo channels, SAME file
|
||||
gates (both hard): n_intervals >= 60 AND mic_p5 <= 5 raw counts
|
||||
day statistic: median of dmin over that day's qualifying files
|
||||
flag day at dmin >= 0.020 in/s (4 A/D counts)
|
||||
episode at >= 3 CONSECUTIVE observed days
|
||||
|
||||
**Result: BE18438|Vert, BE9558|Tran, BE9558|Long.** Threshold-insensitive —
|
||||
the journal's own test for a real signal against a tuned one — and this is the
|
||||
first operating point in the investigation that passes it cleanly. The identical
|
||||
answer holds across: statistic `min` or `p5`; length gate 10/30/60/120/300; mic
|
||||
gate 3/5/8/10; threshold 0.015–0.035 (a 2.3x span); persistence K = 2,3,4,5,7.
|
||||
|
||||
Separation, ranked by highest floor sustained over 3 consecutive gated days
|
||||
across all 135 unit-channels:
|
||||
|
||||
| unit-channel | best3 |
|
||||
|---|---|
|
||||
| BE18438 Vert | 0.1650 |
|
||||
| BE9558 Long | 0.0350 |
|
||||
| BE9558 Tran | 0.0250 |
|
||||
| *(2.5x gap)* | |
|
||||
| BE7145 Tran | 0.0100 |
|
||||
| entire rest of fleet | <= 0.0050 (one quantisation count) |
|
||||
|
||||
Day-level false alarm: **37 of 99,432 gated unit-channel-days = 0.037%.**
|
||||
|
||||
### What it does NOT do — read this before trusting it
|
||||
|
||||
- **It finds 2 of the 5 confirmed units, not 5.** The site-quiet gate is what
|
||||
makes it work and it is also what costs BE11529 and BE12599. BE11529's
|
||||
four-day single-axis ramp (Tran 0.025 -> 0.055, both siblings pinned at 0.005)
|
||||
is the most offset-shaped thing in the corpus outside the two detections, and
|
||||
the gate discards it.
|
||||
- **The positive class is two units.** Every threshold here is fitted to
|
||||
BE18438 and BE9558, which contribute 22 of the 37 flagged days in the entire
|
||||
corpus. No cross-validation is possible at n=2.
|
||||
- **Per-channel attribution is NOT established.** Rotating the three geo channel
|
||||
labels within each file — preserving every value, file and day, destroying
|
||||
only channel identity — reproduces the episode *count* with p = 0.769 and the
|
||||
label agreement at p = 0.038–0.077. Report a **unit and a window**; do not
|
||||
name a geophone axis on the strength of this detector alone.
|
||||
- **Timing resolution is ~1 month, not ~1 day.** A 30-day label shift still
|
||||
scores 2 of 9 episode hits; the signal dies only past ~60 days. The day-level
|
||||
series look far crisper than they are.
|
||||
- **Ground truth here is a sibling detector, not a service record.** Agreement
|
||||
between the two corpora is corroboration of a shared method. Nothing in this
|
||||
section has been checked against an actual repair, calibration or RMA.
|
||||
|
||||
### Dead ends — keep these dead
|
||||
|
||||
- **Absolute floor (min / p1 / p5 / p10 / p25, thresholded alone) — RETIRED.**
|
||||
Not fleet-comparable and mostly not about the channel. Scoring each cell using
|
||||
*only the other two channels* — a statistic containing zero information about
|
||||
the suspect channel — reaches AUC 0.746 against the same labels, versus 0.872
|
||||
for the absolute floor itself. **66% of its apparent discrimination is "that
|
||||
day was noisy at that site."** Interval size alone moves its p99 7x (0.0350 at
|
||||
1 min vs 0.0050 at 2 s). And of all files with any channel above 0.025, 56.5%
|
||||
have **all three** channels above it — common-mode, i.e. the wrong physics.
|
||||
- **Zero-fraction — STRUCTURALLY IMPOSSIBLE, not merely weak.** The device never
|
||||
reports a zero histogram interval peak. The value is a max over hundreds of
|
||||
samples of a channel that always carries at least 1 count of noise, so it is
|
||||
clamped at 1 A/D count (0.005 in/s). There is no zero to count.
|
||||
- **Interval size, sample rate, geo range, firmware — refuted as confounds for
|
||||
the differential.** All four are *file-level scalars*: they move all three geo
|
||||
channels together, so they cannot produce a single-channel lift and the
|
||||
within-file differential is immune to them by construction. Geo range is
|
||||
identical across the three geo channels in **63,535 of 63,535** binaries.
|
||||
(Interval size remains fatal to the *absolute*-floor version, above.)
|
||||
|
||||
### Two findings that are independent of the histogram detector
|
||||
|
||||
**1. `offset_scan3.py`'s `spread <= 0.02` gate is discarding real signal.**
|
||||
It rejects **113 of the 600 channel-rows with |pre| >= 0.025 (18.8%)**, and the
|
||||
rejections are not random — 92 of them fall across 41 unit-channels currently
|
||||
labelled NEGATIVE. Four would become sustained positives under an
|
||||
amplitude-only >=3-consecutive rule: **BE12599|Long (run of 8), BE18003|Vert
|
||||
(4), BA10895|Vert (3), BE12844|Tran (3).** Until this is re-cut, the fleet label
|
||||
is **three-state — POSITIVE / NEGATIVE / SPREAD-REJECTED(unknown)** — and the
|
||||
third state should be excluded from both TP and FP counts rather than silently
|
||||
scored as healthy. Every precision figure computed against the two-state label,
|
||||
in this section and in §3, is affected.
|
||||
|
||||
**2. The waveform corpus sees ~7% of the days a unit was deployed.** 2,627
|
||||
(unit, day) observations against the histogram corpus's 35,105 — 13.4x — with a
|
||||
per-unit median ratio of 0.070. BE12599, a confirmed unit, is waveform-observed
|
||||
on 39 of its 1,666 histogram-observed days (**2.3%**). Any statement of the form
|
||||
"the fault was absent before date X" that rests on waveform coverage alone is
|
||||
much weaker than its event count suggests.
|
||||
|
||||
### BA10895 — reclassified (see also §4)
|
||||
|
||||
Previously dismissed as a transient. The histogram record shows its **Vert**
|
||||
quiet-minute floor at 0.005 on 62/62 qualifying files from 2023-07-07, then
|
||||
0.010–0.015 on 48/58 files from 2023-08-03 to 08-27, while Tran moves on 2/58
|
||||
and Long on 9/58 and the site mic floor never leaves 1–3 counts. Independently,
|
||||
**42 of its 85 waveform events (49.4%) are single-axis-dominant** — one geo peak
|
||||
>= 10x both siblings and >= 0.05 in/s — the **highest rate in the 45-unit
|
||||
fleet** (BE13117 36.1%, BE18438 29.4%), and **100% of it on Vert**. Vert
|
||||
excursions of 0.1–1.5 in/s with Tran/Long at 0.005–0.035 are not ground motion.
|
||||
|
||||
This is a genuine Vert-channel hardware fault, but **not the classic pedestal** —
|
||||
the differential is only one A/D count. Caveat: its entire histogram record is a
|
||||
single 52-day deployment ending 2023-08-27, so nothing says whether it
|
||||
persisted, was serviced, or resolved.
|
||||
|
||||
The other six marginal units — BE11007, BE17354, BE18004, BE18104, BE9557,
|
||||
BE18003 — are **clean**. All seven cap at +0.005 to +0.007 (one A/D count)
|
||||
lifetime under the quiet-site gate, against +0.175 for BE18438 Vert and +0.062
|
||||
for BE9558 Long. Three individual waveform flags fall in windows with **zero**
|
||||
histogram coverage and are NO-DATA, not clean: BE18004|Tran 2024-10-16,
|
||||
BE9557|Tran 2021-06-28, BE9557|Vert 2025-06-12.
|
||||
|
||||
### Still open in this section
|
||||
|
||||
- **The 11 thin-coverage units were not screened** (BE10202, BE11462, BE13779,
|
||||
BE15760, BA15957, BE16754, BE16758, BE8081, BE8626, BA9229, BE9887 — each
|
||||
under 20 waveform events, several with hundreds of histograms). This is the
|
||||
population most likely to hold a previously unknown offset, and it is the one
|
||||
slice of the plan that did not run. BE11462 was incidentally scored clean by
|
||||
the full-archive pass; BE10202 has no histogram files at all.
|
||||
- **No completeness audit was run** over the above.
|
||||
- Re-cutting the ground truth three-state (finding 1) and re-scoring everything
|
||||
against it.
|
||||
|
||||
---
|
||||
|
||||
## 8c. Mechanism — five hypotheses tested, all dead (2026-09-06)
|
||||
|
||||
**The mechanism is still unknown.** Five campaigns, ~105 effectively independent
|
||||
tests, seven nominally significant results against **5.2 expected by chance**
|
||||
under a global null. Every one died to its own confound analysis. What the
|
||||
campaign bought is a set of *shape constraints* and a long list of dead ends.
|
||||
|
||||
### ⚠ Two things retracted from this journal
|
||||
|
||||
**1. "Polarity is perfectly consistent — 11 of 11, zero mixed cases."** That is
|
||||
a **tautology of the spread gate**, not a property of the fault. `spread <= 0.02`
|
||||
requires pre/mid/end to agree, which forces one sign. Amplitude-only at the same
|
||||
0.025 threshold: **12 of 53 unit-channels are mixed**, including BE18438|Vert
|
||||
(88+/1−) and BE9558|Vert (1+/35−). Withdrawn.
|
||||
|
||||
**2. "5 of 45 units, unchanged across a 2x threshold range."** The
|
||||
threshold-insensitivity is also a property of the gate. Amplitude-only gives
|
||||
**9 units at 0.020, 8 at 0.025** (adding BA10895, BE12844, BE18003), 5 at 0.040.
|
||||
The fleet is **8–9 units, not 5**.
|
||||
|
||||
**3. "Persistent — it stays until the geophone is serviced."** Weakened, not
|
||||
withdrawn. There are **23 recoveries after runs of >=3 flagged events, median
|
||||
gap 6.03 days**, three inside ten minutes. BE18438|Vert reads `pre=mid=end=
|
||||
+0.0000` on 2026-02-10, +0.185→+0.370 across 02-25/26, and `+0.0000` again on
|
||||
2026-03-22 — identical Project, Seis Loc, calibration date, geo range and
|
||||
trigger throughout. The one thing that cannot be excluded is a **field
|
||||
autozero**: it is a button sequence at the unit and writes nothing into the
|
||||
event header. So "persistent" may be "persistent unless somebody pressed the
|
||||
buttons," and the archive cannot tell those apart.
|
||||
|
||||
### The one positive finding: onset is a RAMP, minutes to hours
|
||||
|
||||
Both onsets resolvable at minute cadence are ramps. **BE18438|Vert,
|
||||
2026-02-20** — the histogram corpus collapses a 14 d 21 h waveform bracket to
|
||||
**one minute**:
|
||||
|
||||
```
|
||||
~14,200 consecutive quiet minutes at 0.000–0.005 (ten full daily files)
|
||||
09:32 +0.005 09:39 +0.045 10:20 +0.125 16:00 +0.165
|
||||
09:33 +0.010 09:42 +0.070 13:13 +0.150 20:17 +0.185 plateau
|
||||
```
|
||||
|
||||
**50% of the excursion in 7 minutes**, the rest asymptotic over ~10 h, **>=25
|
||||
distinct one-minute intermediates**. Validated **75/75** against Blastware's own
|
||||
ASCII export. Its 2025-11-15 onset is the same shape over 2.7 h. BE13117 stage B
|
||||
is a 91-minute monotone rise, +0.035 → +1.745 in/s over ~40 samples.
|
||||
|
||||
**This kills both poles of the original dichotomy** (journal Q1): not an
|
||||
instantaneous latched step (a bad autozero, a stuck trim-DAC), and not slow
|
||||
component degradation over days or weeks.
|
||||
|
||||
⚠ It rests on **2 of 45 instruments**. Clopper-Pearson on 4/4 resolved onsets
|
||||
gives 95% CI [0.40, 1.00] — a mixed population with up to 60% true steps is not
|
||||
excluded. BE13117 has zero paired ASCII, so its ramp rests on our decoder alone.
|
||||
|
||||
### The methodological corollary — more important than the finding
|
||||
|
||||
**A waveform-only bracket manufactures the appearance of a step, and the spread
|
||||
gate is blind to onsets by construction.**
|
||||
|
||||
The offset is what fires the trigger, so no waveform event can exist until the
|
||||
ramp has nearly reached the trigger level. BE18438's first event of each episode
|
||||
sits at 0.280 against a 0.300 trigger, and 0.185 against 0.200. At daily cadence
|
||||
against a 3 h ramp, P(catching an intermediate) = **0.125**.
|
||||
|
||||
And `spread <= 0.02` rejects any record in which the floor is *moving* — which
|
||||
is exactly what an onset is. **The gate rejected the very BE18438 record where
|
||||
the ramp is visible.** If the operational goal is catching a fault early, before
|
||||
the unit floods the store with junk events, the current detector is the wrong
|
||||
shape for the job.
|
||||
|
||||
### The surviving shape
|
||||
|
||||
An **electrical, reversible, two-time-constant settling process** (~10 min and
|
||||
~hours), saturating at a ceiling, with occasional sub-3-minute discrete jumps
|
||||
superposed (BE18438 2026-02-26: 13:24 pre +0.180 / mid +0.240 / end +0.255 →
|
||||
13:27 +0.325, identical metadata). That is the signature of a **bias or leakage
|
||||
path charging a high-impedance node** — the class of fault Instantel's autozero
|
||||
recovers ~10% of the time, and what the X1/X8 gains measure.
|
||||
|
||||
**It is a shape constraint, not a mechanism. Do not write it up as one.**
|
||||
|
||||
### Dead — with the evidence, so none of this is re-derived
|
||||
|
||||
| Killed | Evidence |
|
||||
|---|---|
|
||||
| **Latched step at onset** | >=25 one-minute intermediates over ~10 h, ASCII-validated. Direct observation, not a test. |
|
||||
| **Slow degradation over days/weeks** | Same observation — bulk of the excursion in 7 min to 2.7 h. |
|
||||
| **Thermal driving of pedestal magnitude** | BE13117, 365-count pedestal, n=128: full-day modulation **−0.42% ± 0.42%**, 95% CI [−1.25%, +0.40%]. Healthy-fleet seasonal zero drift totals **~0.3 A/D counts** — 15x to 1200x too small. Best-powered result in the campaign. |
|
||||
| **Ground-motion shock** | 30-day window-max percentile ranks 0.03/0.98/0.15/0.01/0.68/0.24, median **0.194** against a null of 0.5. **0 of 7 events >=9 in/s** was followed by an onset within 30 d. BE12599 hit 10.220 in/s (2023-11) and 10.005 (2025-04) and did not onset until 2026-08-14. |
|
||||
| **Handling / redeployment** | **0 of 9** onsets had a Project/Client/Seis Loc change. Widened to 30 d: 2 observed vs 4.90 expected, P(X>=2)=0.995 — *depleted*, the wrong direction. The apparent gap effect (p=0.035) died on histogram coverage: BE18438's "59.7-day gap" contains 122 histogram files; true silence 0.52 d. |
|
||||
| **Mechanical resonance / damping change** | BE18438|Vert at a 64-count pedestal (3x outside Instantel's ±21): ΔTest-Freq **CI [−0.090, +0.021]** against 0.127 Hz for a real calibration. Block permutation p=0.658. |
|
||||
| **Accumulated-duty threshold** | ~4 clean units logged more monitoring than the largest positive onset dose; BE18193 logged **13.45M intervals, 6.2x**. A counterexample — no power argument weakens it. |
|
||||
| **Firmware** | **14,338 of 14,340** exports read `V 10.72-8.17`. A constant cannot explain a variable. |
|
||||
| **Unit age** | Serial rank-sum 118.0 vs null 115.0, p=0.549; unchanged on the 8-unit re-cut (p=0.586). Serial is a poor age proxy anyway (Spearman +0.113 against archive entry). |
|
||||
| **Strong seasonal clustering** | 25 onsets, exposure-weighted permutation **p=0.59**. Excludes >=75%-in-one-season only; a 2x seasonal hazard is *not* excluded. |
|
||||
|
||||
Also retire two overstated bounds. H6's dose-response exclusion "|r| > 0.03" is
|
||||
a **10x overstatement** once clustering is corrected — the honest bound is
|
||||
|r| > 0.1–0.3, so a real r=0.2 is not excluded. And **any statistic quoted
|
||||
per-event**: 512 flagged channel-events collapse to **4.9 effective independent
|
||||
observations** (unequal-cluster design effect 104.6 at ICC=1), and **55% of the
|
||||
flagged corpus is one instrument on two calendar days** (BE13117, 2023-05-03/04).
|
||||
|
||||
### Power — read every negative in this section as bounded
|
||||
|
||||
Fisher exact, 5 positives of 45, one-sided α=0.05, exposure a third of the fleet:
|
||||
|
||||
| relative risk | power |
|
||||
|---|---|
|
||||
| 1.5 | 0.059 |
|
||||
| 2 | 0.112 |
|
||||
| 3 | 0.231 |
|
||||
| 6 | 0.497 |
|
||||
| 15 | 0.753 |
|
||||
|
||||
80% power needs **RR ≈ 13–20**. Even a *perfect* split reaches p<0.05 only if
|
||||
the exposed group is <=25 of 45 units. **This archive can detect only
|
||||
near-deterministic unit-level causes.** Every negative above excludes a strong
|
||||
effect, not a real one.
|
||||
|
||||
### What this archive can NEVER answer
|
||||
|
||||
- **The A/D zero and the X1/X8 gains.** The 2027–2069 numbers appear in no file,
|
||||
header or decoded record. They exist only on a live device behind `SUB 0x0E`.
|
||||
Q1 is structurally unanswerable from data.
|
||||
- **Unit-level vs component-level cause.** **Zero of 14,340** exports carry a
|
||||
geophone or sensor serial. Q4 is dead — there is no way to know whether the
|
||||
same physical geophone came back after service.
|
||||
- **Service history.** The only service-adjacent field is `Calibration: <date>`
|
||||
— 30 distinct dates fleet-wide, none before 2023, ASCII corpus entirely
|
||||
2025–26. BE9558's 2020 and BE13117's 2023 episodes have no calibration record.
|
||||
- **Temperature.** Zero exports carry it. Battery Level is a verified coarse
|
||||
thermometer (+0.204 V winter over summer, 20/20 unit-years, p=9.5e−7, matching
|
||||
lead-acid tempco) but quantised at 0.1 V ≈ 10 °C — useless within a day. The
|
||||
archive can *bound* thermal; it can never *test* it.
|
||||
- **BE13117 specifically** — 55% of the flagged corpus, the largest pedestal at
|
||||
1.92 in/s, **zero** ASCII exports, histogram record ending eight months before
|
||||
its episode. The most informative case in the archive is permanently outside
|
||||
every metadata test.
|
||||
- **The mild-offset rate**, and therefore the base rate's denominator. Event
|
||||
files only see offsets large enough to dominate the trace.
|
||||
|
||||
### The experiment to run — `SUB 0x0E`, one afternoon
|
||||
|
||||
Point Blastware at `bridges/ach_mitm.py` and run **Unit Channel Test** against
|
||||
(1) a faulting unit, (2) a known-good control, (3) the same unit before and
|
||||
after an autozero. BW's sequence is `0x0E x8 → 0x98 x2 → 0x0E x8`, the second
|
||||
pass carrying live ADC. Eight 10-byte payloads with expected values near 2048 is
|
||||
a very constrained puzzle.
|
||||
|
||||
- **Proves:** whether the X1/X8 gains are readable over the wire, and whether
|
||||
the fault sits at or upstream of the ADC zero reference. Gains walk out of
|
||||
2027–2069 with the pedestal → the fault *is* the zero reference, Q1 answered.
|
||||
Gains hold while the trace moves → the fault is downstream, look at the front
|
||||
end.
|
||||
- **§8c hands it a falsifiable time course:** poll at ~1-minute cadence and the
|
||||
numbers should **ramp over minutes-to-hours, not step**. If they step while
|
||||
the trace ramps, the two are decoupled.
|
||||
- **Payoff:** converts the 10%/90% ship-it-or-not gamble into a decision made
|
||||
before packing a box, remotely, for the whole fleet.
|
||||
- ⚠ In the MITM topology filenames are reversed — `raw_s3_*.bin` holds
|
||||
Blastware's bytes.
|
||||
|
||||
**Second: swap the geophone** between a faulted base and a healthy one. Fault
|
||||
follows the sensor → element or cable. Fault stays with the base → front-end
|
||||
board. One afternoon, zero code, and it settles the one question the archive is
|
||||
permanently blind to.
|
||||
|
||||
**Third: log a faulting unit for 72 h untouched.** Every recovery we have is
|
||||
confounded by a possible field autozero. A shelf and a logger settles whether
|
||||
the fault genuinely self-reverses.
|
||||
|
||||
**Fourth, free: re-cut the fleet label** — drop the spread gate, re-score
|
||||
amplitude-only, screen the 11 unscreened thin-coverage units. Might reach 9–10
|
||||
positives. Be honest about the gain: power against "older half carries 3x the
|
||||
hazard" rises only 0.23 → 0.30.
|
||||
|
||||
**Highest-value item overall, and not an experiment: the RMA/repair records.**
|
||||
Which unit went back, when, what was done (autozero vs geophone replaced vs
|
||||
board), and the geophone serial fitted. "Same channel after a documented
|
||||
geophone *replacement*" is component-level-negative in one observation.
|
||||
|
||||
---
|
||||
|
||||
### 8d. The non-motion test — Brian's "it doesn't cross zero" (2026-09-07)
|
||||
|
||||
Looking at BE12599's 2026-08-09 event, Brian noted it reports no ZC frequency
|
||||
**because the trace never crosses zero**. That observation is the best detector
|
||||
in this investigation, and it comes from physics rather than a threshold.
|
||||
|
||||
A geophone is a velocity sensor with no DC response, so its output over a record
|
||||
must integrate to ~zero — the ground does not relocate. Real motion therefore
|
||||
sits roughly half below zero. Anything electrical is one-sided.
|
||||
|
||||
mp = |mean| / peak ~0 for motion, ~1 for a fault
|
||||
frac_neg = share of samples < 0
|
||||
|
||||
`scratch/nonmotion_scan.py`, all 6,577 waveforms, 19,731 channel-rows.
|
||||
Restricted to peak >= 0.05 in/s (n = 12,068), the distribution is **bimodal
|
||||
with an empty middle**:
|
||||
|
||||
| mp band | channel-events |
|
||||
|---|---|
|
||||
| 0.0–0.1 | 11,384 |
|
||||
| 0.1–0.2 | 293 |
|
||||
| **0.15–0.85 (dead zone)** | **131 = 1.09%** |
|
||||
| 0.9–1.0 | 278 |
|
||||
|
||||
At `mp >= 0.8` with >=3 events it returns **exactly the five confirmed units** —
|
||||
BE9558, BE11529, BE12599, BE13117, BE18438 — stable from 0.5 to 0.9. Two
|
||||
detectors on entirely different principles agreeing on the unit list is the
|
||||
strongest corroboration that list has.
|
||||
|
||||
**BE11007 is settled: NOT an offset.** It reaches mp 0.75–0.89, but with
|
||||
`frac_neg = 0.99` at peaks of **7.4–9.4 in/s** — parked *negative* during a
|
||||
near-full-scale blast. §4's guess was right. `mp` alone cannot separate a
|
||||
pedestal from a large one-sided blast; pair it with a peak ceiling or with
|
||||
sign-consistency across events.
|
||||
|
||||
⚠ **Not a rediscovery of the retracted v1 detector.** v1 scored only the
|
||||
largest-peak axis and used the mean as a *baseline estimator* where the median
|
||||
was required. Here the mean is the signal itself, per channel — that is what the
|
||||
physics licenses.
|
||||
|
||||
**Correction to §8c.** That section says the spread gate is "blind to onsets by
|
||||
construction." Too strong: of 87 BE18438|Vert events at mp >= 0.5 the gate
|
||||
rejected **one** — the transitional record. It does not lose onsets
|
||||
systematically; it loses the transition specifically.
|
||||
|
||||
### 8e. BE12599 — a connector, not a geophone (2026-09-07)
|
||||
|
||||
Waveform shapes across its August episode, measured rather than eyeballed:
|
||||
|
||||
| date | channel | shape |
|
||||
|---|---|---|
|
||||
| Aug 09 05:29 | Long | **unipolar +**, 0/2304 samples below zero, decay tau **26 ms** |
|
||||
| Aug 09 05:35 | Long | unipolar +, 3 spikes at irregular gaps (744, 1032 ms), tau **38 ms** |
|
||||
| Aug 14 05:00 | Long | single lobe, bipolar, tau **118 ms** |
|
||||
| Aug 17–23 | Tran | **flat DC pedestal**, sd/level 0.015–0.020, 0 zero crossings |
|
||||
|
||||
**Unipolar impulses with an RC tail are not mechanical.** Fast rise, exponential
|
||||
decay, one polarity, irregular timing — that is charge dumped into a
|
||||
capacitively-coupled input and draining through the input resistance. The
|
||||
progression 26 ms -> 118 ms -> never recovers, over 14 days, is a leakage path
|
||||
worsening.
|
||||
|
||||
**And the fault moved channels** — Long on Aug 9/14, Tran on Aug 17–23, Long
|
||||
again on Aug 21 (1.065 in/s) while Tran held its pedestal. Vert stayed clean
|
||||
throughout. **A failing geophone element cannot hop channels. A connector can.**
|
||||
|
||||
That single fact explains what had been puzzling:
|
||||
- **The sensor self-check keeps passing** (7.4/7.5/7.6 Hz, ratios 3.6–4.2, all
|
||||
four channels Passed, on the very events where Long throws 0.5 in/s spikes).
|
||||
The swing test drives the element; the element is fine. The fault is in the
|
||||
wiring to it.
|
||||
- **Why Instantel's autozero fixes only ~10%** — it cannot fix a connector.
|
||||
- **Why onset "ramps" over minutes to hours** — contact resistance drifting.
|
||||
|
||||
All seven Aug 17–23 events are stamped **05:00:14**, the same second, and their
|
||||
filename extensions run `8E → WE → KE → 8E → WE → KE → 8E` — the documented
|
||||
3-day cycle for a fixed daily time. Clock-scheduled, not physically triggered:
|
||||
the modem powers up, draws a surge, and a marginal connection responds.
|
||||
|
||||
**Field action: inspect and photograph the geophone connector BEFORE reseating
|
||||
anything** — an intermittent contact clears the moment it is disturbed.
|
||||
|
||||
⚠ Scoped to BE12599. BE18438's onset was a smooth 7-minute ramp with no spikes,
|
||||
which looks like a different failure mode wearing the same signature.
|
||||
|
||||
---
|
||||
|
||||
### ⚠ Serial prefixes — four of these units are BlastMates, not MiniMates
|
||||
|
||||
Corrected 2026-09-06, after Brian queried "BA10895?" against a report that
|
||||
said BE10895. He was right. The BW filename encodes the serial **number
|
||||
only** — `L895` -> 10895 — and every offset scanner synthesised the family
|
||||
prefix as `"BE"`. Four of the 43 archive units are **BA** (BlastMate, the
|
||||
MiniMate Plus's bigger sibling; same Series III, byte-identical data):
|
||||
|
||||
**BA9229, BA10060, BA10895, BA15957.**
|
||||
|
||||
Read off the file bodies, which carry the serial verbatim. No analysis
|
||||
changed — grouping was always on the numeric part, and no unit number maps
|
||||
to two serials — but every earlier reference to "BE10895" and the other
|
||||
three is a label error and has been corrected throughout this document.
|
||||
|
||||
The same assumption was live in two production sites and is fixed
|
||||
(`sfm/waveform_store.py`, `minimateplus/client.py`): the store would have
|
||||
filed a BlastMate under a unit that does not exist, and the monitor-log
|
||||
decoder lost the geo threshold along with the serial. See commit `9ceff65`.
|
||||
|
||||
---
|
||||
|
||||
## 9. Chronology
|
||||
|
||||
| date | event |
|
||||
@@ -973,15 +512,3 @@ decoder lost the geo threshold along with the serial. See commit `9ceff65`.
|
||||
| 2026-08-28 | Bimodality established; sensor check proven **blind** to offsets; `SUB 0x0E` identified as the best open lead. |
|
||||
| 2026-08-28 | **v1 detector retracted.** Brian challenged the "come and go" finding against field experience. Two flaws found: dominant-axis-only scoring and mean-instead-of-median. Corrected detector shows persistent pedestals on **8 of 45 units**, and the gaps are service windows. |
|
||||
| 2026-08-28 | **Detector v3 (Brian's method):** pre-trigger floor + pre/mid/end consistency. Healthy channels proven to sit at 0.000 +/-1 unit (94.5%), confirming no decoder zero-point bias. Final: **5 of 45 units (11%)**, threshold-insensitive. |
|
||||
| 2026-09-04 | **Histogram corpus scanned** — 63,505 of 63,535 files, 43 units, 77.9M intervals (9.7x the waveform corpus). `scratch/offset_hist_scan.py`. |
|
||||
| 2026-09-04 | Absolute-floor statistic **retired**: 66% of its discrimination is a day/site confound (other-channels-only AUC 0.746 vs 0.872). Zero-fraction shown **structurally impossible** — the device clamps every interval peak at >= 1 count. |
|
||||
| 2026-09-04 | Site-quiet-gated cross-channel differential established: **BE18438 Vert, BE9558 Tran+Long**, threshold-insensitive over a 2.3x span. Finds only **2 of the 5** confirmed units — leakage into the histogram floor is bimodal (0.9 to 0.02), so a negative result carries almost no information. Per-channel attribution **not** established (channel-scramble p = 0.769). |
|
||||
| 2026-09-04 | **BA10895 reclassified** from transient to a genuine Vert fault of a different subtype — 49.4% single-axis-dominant events, the highest in the fleet, 100% on Vert. The other six marginal units are clean. |
|
||||
| 2026-09-04 | **Defect found in `offset_scan3.py`**: its `spread <= 0.02` gate discards 18.8% of rows with \|pre\| >= 0.025, concentrated on 41 negative unit-channels; 4 would be sustained positives without it. The fleet label is three-state, not two. |
|
||||
| 2026-09-06 | **Four units relabelled BA, not BE** — BA9229, BA10060, BA10895, BA15957 are BlastMates. The BW filename carries only the serial number; the family prefix must be read from the file body. Fixed in the scanners and in two production sites. |
|
||||
| 2026-09-06 | **Mechanism campaign — five hypotheses, all dead.** Thermal, ground-motion shock, handling/redeployment, accumulated duty, unit age, firmware and a mechanical element fault are each refuted or bounded. 7 nominally significant results against 5.2 expected by chance. |
|
||||
| 2026-09-06 | **Onset is a RAMP of minutes-to-hours, not a step** — BE18438 Vert resolved to one-minute cadence, 50% of the excursion in 7 min, >=25 intermediates, ASCII-validated 75/75. Kills both a latched digital step AND slow component degradation. Surviving shape: a reversible two-time-constant settling process — a bias/leakage path charging a high-impedance node. |
|
||||
| 2026-09-06 | **Polarity consistency RETRACTED** (a tautology of the spread gate; amplitude-only gives 12 of 53 unit-channels mixed) and the fleet **re-cut to 8–9 units, not 5**. "Persistent until serviced" weakened: 23 recoveries, median gap 6 days — though a field autozero cannot be excluded. |
|
||||
| 2026-09-06 | The spread gate is **blind to onsets by construction** — it rejects a moving floor, which is what an onset is. It rejected the very record in which the ramp is visible. |
|
||||
| 2026-09-07 | **The non-motion test** (Brian: "it doesn't cross zero"). `\|mean\|/peak` is bimodal with a 1.09% dead zone and returns exactly the 5 confirmed units from physics, not a threshold. Independent corroboration of the unit list. **BE11007 settled as NOT an offset** — a one-sided 9 in/s blast. |
|
||||
| 2026-09-07 | **BE12599 is a connector fault, not a geophone fault.** Unipolar spikes with a 26→118 ms RC tail progressing to a flat pedestal, and the fault MOVES between Long and Tran while the sensor self-check passes on every event. An element cannot hop channels; a connector can. Inspect before reseating. |
|
||||
|
||||
+40
-221
@@ -47,24 +47,19 @@ from dataclasses import dataclass
|
||||
from pathlib import Path
|
||||
from typing import Optional, Union
|
||||
|
||||
# Thor IDFW bodies use the series-3 record-chain decoder.
|
||||
# Thor IDFW bodies are pinned to the SUPERSEDED tag-dispatch decoder.
|
||||
#
|
||||
# This was previously pinned to the SUPERSEDED tag-dispatch walker
|
||||
# (`decode_waveform_legacy`) on the stated grounds that "Thor has no ASCII
|
||||
# ground truth in the corpus and its geo scaling is separately suspect".
|
||||
# Both premises were false: Thor writes a per-sample CSV export next to every
|
||||
# binary (see scratch/verify_thor_against_csv.py), and the scaling is now
|
||||
# resolved (see _GEO_LSB_IPS). Measured against that ground truth on
|
||||
# 2026-09-10, the record chain beats the legacy walker outright:
|
||||
#
|
||||
# channel truncation 55/153 files -> 3/153
|
||||
# files exact 98/153 -> 150/153
|
||||
# per-sample exact 99.781% -> 99.854%
|
||||
#
|
||||
# The legacy walker stops at the first unrecognised tag and returns whatever
|
||||
# channels it had, so its failure mode is silent short channels rather than an
|
||||
# error. Do not re-pin it.
|
||||
from minimateplus.waveform_codec import _MODES, decode_waveform_v2, is_record
|
||||
# _find_waveform_body_offset() trial-decodes every candidate offset and keeps
|
||||
# whichever yields the most samples. The series-3 record-chain decoder
|
||||
# correctly returns None where the legacy walker returned garbage, which
|
||||
# changes that heuristic's winner on 33 of 577 files. The net effect measured
|
||||
# 2026-08-25 was positive (all-channels-equal 8/577 -> 506/577, mean abs PPV
|
||||
# error 0.228 -> 0.173 in/s) but Thor has no ASCII ground truth in the corpus
|
||||
# and its geo scaling is separately suspect, so the switch is deferred until
|
||||
# the body-offset search is reworked to use the record chain directly.
|
||||
from minimateplus.waveform_codec import (
|
||||
decode_waveform_legacy as decode_waveform_v2,
|
||||
)
|
||||
|
||||
from .models import IdfEvent, IdfPeaks, IdfReport
|
||||
|
||||
@@ -94,70 +89,23 @@ _BODY_MAGIC = b"\x00\x02\x00"
|
||||
# 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).
|
||||
# Lowered from 0x0E00 to 0x0C00 (2026-09-10). Three-channel events -- mic
|
||||
# disabled -- have a shorter fixed header and put their record chain head at
|
||||
# 0x0dba, below the old floor. The head was therefore invisible to the scan,
|
||||
# which fell through to the *Vert* segment-0 record and decoded a body shifted
|
||||
# one position around the channel rotation. 46 of 139 files in the
|
||||
# 9-10-26-csv-req corpus were affected; all 46 became per-sample exact once
|
||||
# the head was reachable. The floor still skips the fixed-header region,
|
||||
# where `is_record()` can match channel-test records (0x015d, 0x091c, 0x0ae2).
|
||||
_BODY_SCAN_FLOOR = 0x0C00
|
||||
_BODY_SCAN_FLOOR = 0x0E00
|
||||
|
||||
# Cap on trial decodes per file. Chain-head detection normally yields one
|
||||
# or two candidates; the cap only bounds the worst case on a corrupt file.
|
||||
_MAX_BODY_CANDIDATES = 16
|
||||
|
||||
# Geophone count → in/s.
|
||||
#
|
||||
# The old value 0.0003 was read off the smallest non-zero sample in the
|
||||
# sidecar corpus, but that sample is Thor's *4-decimal display rounding* of
|
||||
# the true LSB, not the LSB itself. It read every series-4 geophone sample
|
||||
# 3.3% low. The quantisation ladder gives it away: counts 1..6 export as
|
||||
# 0.0003, 0.0006, 0.0009, 0.0012, 0.0016, 0.0019 — an LSB of exactly 0.0003
|
||||
# would end 0.0015, 0.0018.
|
||||
#
|
||||
# The value below maximises exact 4-dp agreement over 1,046,016 paired
|
||||
# samples (454 channel-events, 2 units) at 99.854%, versus 50.7% for 0.0003.
|
||||
# It is a global constant, not a per-unit calibration: all 8 UM units in the
|
||||
# production store independently agree to within ±0.07% on their
|
||||
# device-reported PPV. 1/LSB = 3222.6 counts per in/s.
|
||||
#
|
||||
# The value is pinned, not guessed. Each exported sample constrains the LSB
|
||||
# to the window that rounds to the printed 4-dp figure; intersecting 991,415
|
||||
# such constraints (clean channel-events only) gives
|
||||
#
|
||||
# LSB in [0.000310307933, 0.000310308057] width 1.2e-10
|
||||
#
|
||||
# 0.000310308 sits at the centre of that window. Equivalent full scale is
|
||||
# 10.0 in/s / 0.000310308 = 32226.05 counts.
|
||||
#
|
||||
# Corroboration from the device: an IDFH interval that never recorded keeps
|
||||
# its min/max accumulator at its ±full-scale seed, and that seed is
|
||||
# (min=+32226, max=-32226) — the same magnitude, independently. Note the
|
||||
# tempting closed form 10.0/32226 is very slightly WRONG: it lands 4.5e-10
|
||||
# above the feasible window and loses 78 boundary samples to the literal
|
||||
# value while never winning one. Series-3 uses 32000 counts for the same
|
||||
# 10.0 in/s, so the two generations do NOT share a scale.
|
||||
#
|
||||
# Ground truth + harness: scratch/verify_thor_against_csv.py
|
||||
_GEO_LSB_IPS = 0.000310308
|
||||
# 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.
|
||||
# Bytes per interval record = 16 per channel + an 8-byte tail, so a
|
||||
# 4-channel unit uses 72 and a mic-disabled 3-channel unit uses 56. It is
|
||||
# NOT a constant: derive it per segment from the interval counter (see
|
||||
# decode_idfh_body). This value survives only as the 4-channel default.
|
||||
_IDFH_INTERVAL_SIZE = 72 # bytes per per-interval record (4 channels)
|
||||
_IDFH_CHANNEL_BLOCK = 16 # bytes per channel inside an interval record
|
||||
_IDFH_INTERVAL_TAIL = 8 # bytes after the per-channel blocks
|
||||
_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")
|
||||
|
||||
|
||||
@@ -275,67 +223,26 @@ def _find_waveform_body_offset(buf: bytes) -> Optional[int]:
|
||||
"""
|
||||
if len(buf) < _BODY_SCAN_FLOOR + 8:
|
||||
return None
|
||||
|
||||
# 1. Locate every plausible per-channel record header. A header carries
|
||||
# [len 2B][channel_id][00][00] at +2..+6, so anchor the search on the
|
||||
# three-byte ``<cid> 00 00`` signature and validate with is_record().
|
||||
# Scanning candidate *preambles* instead is not viable: MODE_RAW16 is
|
||||
# ``00 00``, so every run of three zero bytes would look like a body
|
||||
# start and each would cost a full trial decode (~0.5 s/file measured).
|
||||
floor = max(0, _BODY_SCAN_FLOOR - 7)
|
||||
starts: list = []
|
||||
for cid in (0x46, 0x47, 0x48, 0x49):
|
||||
sig = bytes((cid, 0x00, 0x00))
|
||||
i = floor
|
||||
best: Optional[tuple[int, int]] = None # (total_samples, offset)
|
||||
i = _BODY_SCAN_FLOOR
|
||||
while True:
|
||||
j = buf.find(sig, i)
|
||||
j = buf.find(_BODY_MAGIC, i)
|
||||
if j < 0:
|
||||
break
|
||||
i = j + 1
|
||||
q = j - 4
|
||||
if q >= floor and is_record(buf, q):
|
||||
starts.append(q)
|
||||
if not starts:
|
||||
return None
|
||||
starts.sort()
|
||||
|
||||
# 2. A body begins at the head of a record chain -- a record that no other
|
||||
# record's length field points at. The head's own payload is the
|
||||
# implicit segment-0 Tran record, and the body offset is head + 7 (past
|
||||
# [len 2B][cid][00][00][seg]) so that body[1:3] lands on the mode.
|
||||
ends = {q + 2 + int.from_bytes(buf[q + 2 : q + 4], "big") for q in starts}
|
||||
heads = [q for q in starts if q not in ends] or starts[:1]
|
||||
|
||||
# 3. Trial-decode each head and keep the best. Prefer a candidate where
|
||||
# all four channels come out the same length: scoring on raw sample
|
||||
# count alone picks false positives sitting *inside* a record header,
|
||||
# which decode a plausible-looking but rotation-shifted body that
|
||||
# silently drops each channel's segment 0.
|
||||
best = None
|
||||
best_off = None
|
||||
for head in heads[:_MAX_BODY_CANDIDATES]:
|
||||
j = head + 7
|
||||
if j + 3 > len(buf) or (buf[j + 1], buf[j + 2]) not in _MODES:
|
||||
continue
|
||||
try:
|
||||
decoded = decode_waveform_v2(buf[j:])
|
||||
except Exception:
|
||||
continue
|
||||
if not decoded:
|
||||
continue
|
||||
lengths = [len(v) for v in decoded.values() if v]
|
||||
total = sum(len(v) for v in decoded.values())
|
||||
# A "real" body has more than just the 2-sample preamble.
|
||||
if total <= 2:
|
||||
continue
|
||||
# >= 3 rather than == 4: a mic-disabled event has only the three geo
|
||||
# channels, and demanding four made `equal` permanently False for
|
||||
# them, leaving the pick to raw sample count alone.
|
||||
equal = len(lengths) >= 3 and len(set(lengths)) == 1
|
||||
score = (equal, total)
|
||||
if best is None or score > best:
|
||||
best, best_off = score, j
|
||||
return best_off
|
||||
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]:
|
||||
@@ -392,12 +299,6 @@ class IdfhInterval:
|
||||
micl_min: int
|
||||
micl_max: int
|
||||
micl_halfp: int
|
||||
# 4 on a normal unit; 3 when the microphone is disabled, in which case the
|
||||
# micl_* fields are absent from the record and read as zero.
|
||||
n_channels: int = 4
|
||||
|
||||
def has_channel(self, channel: str) -> bool:
|
||||
return channel != "MicL" or self.n_channels >= 4
|
||||
|
||||
def peak_count(self, channel: str) -> int:
|
||||
mn = getattr(self, f"{channel.lower()}_min")
|
||||
@@ -406,11 +307,7 @@ class IdfhInterval:
|
||||
|
||||
def peak_ips(self, channel: str) -> float:
|
||||
"""Convert peak count to in/s (geo channels only)."""
|
||||
# Same geo LSB as the waveform path — verified independently against
|
||||
# the IDFH exports: as peak magnitude rises (and 4-dp quantisation
|
||||
# noise falls) the implied LSB converges on 0.0003103, matching
|
||||
# _GEO_LSB_IPS. The old 10.0/32768 read histogram peaks 1.7% low.
|
||||
return self.peak_count(channel) * _GEO_LSB_IPS
|
||||
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")
|
||||
@@ -419,46 +316,11 @@ class IdfhInterval:
|
||||
return _IDFH_HALFP_FREQ_NUM / halfp
|
||||
|
||||
|
||||
def _is_unwritten_interval(interval: "IdfhInterval") -> bool:
|
||||
"""True for an interval slot the device reserved but never wrote.
|
||||
|
||||
Thor seeds each interval's per-channel accumulators at ``min = +full
|
||||
scale`` and ``max = -full scale`` and then narrows them as samples
|
||||
arrive. A slot that never recorded keeps that seed, so ``min > max`` —
|
||||
impossible for real data. Such a record decodes to a full-scale
|
||||
10.0 in/s peak on every channel and, being a max-over-intervals, poisons
|
||||
the whole file's PPV.
|
||||
|
||||
Rare but real: exactly 1 of 497,611 corpus intervals, and it inflated
|
||||
that file's Long PPV from 0.0081 to 10.0 in/s. The inversion is always
|
||||
all-or-nothing across channels (0 partial cases in the corpus), so
|
||||
requiring every channel to be inverted keeps this from ever firing on
|
||||
genuine data.
|
||||
"""
|
||||
pairs = [
|
||||
(interval.tran_min, interval.tran_max),
|
||||
(interval.vert_min, interval.vert_max),
|
||||
(interval.long_min, interval.long_max),
|
||||
]
|
||||
if interval.has_channel("MicL"):
|
||||
pairs.append((interval.micl_min, interval.micl_max))
|
||||
return all(mn > mx for mn, mx in pairs)
|
||||
|
||||
|
||||
def _decode_idfh_interval(buf72: bytes, offset: int,
|
||||
n_channels: int = 4) -> IdfhInterval:
|
||||
"""Decode one interval record into per-channel min/max/halfp.
|
||||
|
||||
The record is ``n_channels`` × 16-byte blocks plus an 8-byte tail, so it
|
||||
is 72 bytes on a normal unit and 56 when the microphone is disabled.
|
||||
Missing channels read as zero.
|
||||
"""
|
||||
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):
|
||||
if i >= n_channels:
|
||||
fields.extend([0, 0, 0])
|
||||
continue
|
||||
block = buf72[i * 16 : (i + 1) * 16]
|
||||
mn = struct.unpack_from(">h", block, 0)[0]
|
||||
mx = struct.unpack_from(">h", block, 2)[0]
|
||||
@@ -474,7 +336,6 @@ def _decode_idfh_interval(buf72: bytes, offset: int,
|
||||
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],
|
||||
n_channels=n_channels,
|
||||
)
|
||||
|
||||
|
||||
@@ -482,73 +343,36 @@ 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][counter_be 2B][05 3f]`` where ``length``
|
||||
``[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).
|
||||
|
||||
``counter`` is a **uint16 BE cumulative interval index** — the 0-based
|
||||
index of the LAST interval in this segment. Segments carry 10
|
||||
intervals each, so it runs 9, 19, 29, ... across the file.
|
||||
|
||||
⚠ This validator used to require ``buf[j + 4] == 0x00``, i.e. that the
|
||||
counter's high byte was zero. That silently capped every histogram at
|
||||
**250 intervals**: the moment the cumulative counter passed 255 the high
|
||||
byte went non-zero and every later segment was rejected, so any
|
||||
monitoring run longer than ~4 hours lost its tail — frequently the part
|
||||
holding the event peak, which is why those files' PPV read low. 540 of
|
||||
858 corpus files were affected. Do not reinstate that check.
|
||||
Confirmed against the 859-file corpus (181,071 intervals decoded; 1
|
||||
failure is the sig-B BE9439 file).
|
||||
"""
|
||||
intervals: list = []
|
||||
i = 0
|
||||
prev_counter = -1 # so the first segment's n = counter + 1
|
||||
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][counter_be][05 3f]. The counter
|
||||
# is deliberately NOT constrained — see the note above.
|
||||
if buf[j + 6 : j + 8] != b"\x05\x3f":
|
||||
# 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")
|
||||
counter = int.from_bytes(buf[j + 4 : j + 6], "big")
|
||||
header_start = j - 2
|
||||
if length < _IDFH_SEGMENT_HEADER or header_start + length > len(buf):
|
||||
# Truncated / bogus length — not a real segment header.
|
||||
i = j + 1
|
||||
continue
|
||||
# The counter is the cumulative index of this segment's LAST interval,
|
||||
# so the interval count is its delta from the previous segment. That
|
||||
# gives the record stride, which is NOT fixed: 16 bytes per channel
|
||||
# plus an 8-byte tail, so 72 for a 4-channel unit and 56 for a
|
||||
# mic-disabled 3-channel one. Assuming 72 unconditionally made every
|
||||
# 3-channel histogram read 7 intervals per 10-interval segment,
|
||||
# walking off alignment into garbage that decoded as ~10 in/s peaks.
|
||||
n = counter - prev_counter
|
||||
n = (length - _IDFH_SEGMENT_HEADER) // _IDFH_INTERVAL_SIZE
|
||||
if n <= 0:
|
||||
i = j + 1
|
||||
continue
|
||||
stride = (length - _IDFH_SEGMENT_HEADER) // n
|
||||
n_channels, remainder = divmod(stride - _IDFH_INTERVAL_TAIL,
|
||||
_IDFH_CHANNEL_BLOCK)
|
||||
if remainder or not (1 <= n_channels <= 4):
|
||||
i = j + 1
|
||||
continue
|
||||
header_start = j - 2
|
||||
interval_start = header_start + _IDFH_SEGMENT_HEADER
|
||||
for k in range(n):
|
||||
off = interval_start + k * stride
|
||||
if off + stride > len(buf):
|
||||
off = interval_start + k * _IDFH_INTERVAL_SIZE
|
||||
if off + _IDFH_INTERVAL_SIZE > len(buf):
|
||||
break
|
||||
chunk = buf[off : off + stride]
|
||||
interval = _decode_idfh_interval(chunk, off, n_channels)
|
||||
if _is_unwritten_interval(interval):
|
||||
# Reserved-but-never-recorded slot: the min/max accumulators
|
||||
# still hold their ±full-scale seed. Counting it would
|
||||
# fabricate a 10.0 in/s peak on every channel.
|
||||
continue
|
||||
intervals.append(interval)
|
||||
prev_counter = counter
|
||||
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
|
||||
@@ -628,12 +452,7 @@ def read_idf_file(
|
||||
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.
|
||||
# Skip on a mic-disabled (3-channel) unit: those records carry no mic
|
||||
# block at all, so peak_count("MicL") would report a synthetic zero.
|
||||
mic_peak_count = max(
|
||||
(iv.peak_count("MicL") for iv in intervals if iv.has_channel("MicL")),
|
||||
default=0,
|
||||
)
|
||||
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,
|
||||
|
||||
@@ -30,7 +30,6 @@ from __future__ import annotations
|
||||
|
||||
import datetime
|
||||
import logging
|
||||
import re
|
||||
import struct
|
||||
from typing import Optional
|
||||
|
||||
@@ -2533,17 +2532,10 @@ def _decode_0a_partial_header(raw_data: bytes, index: int, key4: bytes) -> Optio
|
||||
ts2 = try_ts(raw_data[ts1_end + 1:ts1_end + 1 + ts_size])
|
||||
|
||||
# Extract serial and geo threshold from "BE11529\0" and "Geo: X.XXX in/s\0".
|
||||
#
|
||||
# Match any two-letter family prefix, not a literal "BE" — a BlastMate
|
||||
# reports "BA10895", and the old `find(b"BE")` returned -1 on one. That
|
||||
# skipped this whole block, so the geo threshold went missing along with
|
||||
# the serial. Requiring the NUL terminator in the pattern also makes the
|
||||
# match stricter than the bare two-byte search it replaces.
|
||||
serial: Optional[str] = None
|
||||
geo_ips: Optional[float] = None
|
||||
|
||||
serial_match = re.search(rb"[A-Z]{2}\d{3,6}(?=\x00)", raw_data)
|
||||
serial_pos = serial_match.start() if serial_match else -1
|
||||
serial_pos = raw_data.find(b"BE")
|
||||
if serial_pos >= 0:
|
||||
# Read null-terminated serial starting at serial_pos.
|
||||
null_pos = raw_data.find(b"\x00", serial_pos)
|
||||
|
||||
@@ -50,7 +50,7 @@ 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 = "0.30.0"
|
||||
TOOL_VERSION = "0.27.0"
|
||||
|
||||
try:
|
||||
# Best-effort: prefer the installed metadata when it's NEWER than the
|
||||
|
||||
@@ -722,18 +722,7 @@ STREAM_END_ID = 0x06
|
||||
MODE_DELTA = (0x02, 0x00)
|
||||
MODE_ABSOLUTE = (0x01, 0x00)
|
||||
MODE_RAW12 = (0x00, 0x03)
|
||||
# Raw int16 BE absolute samples, 10-byte header, no tags — the same shape as
|
||||
# MODE_RAW12 but two bytes per sample instead of 1.5. Found on Thor/Micromate
|
||||
# segment-0 records (2026-09-10): a `len=1032` record carries exactly
|
||||
# (1032 - 8) / 2 = 512 samples and reproduces Thor's own export 512/512
|
||||
# exactly. Before this mode existed the record fell through the dispatch
|
||||
# unhandled, so the channel silently lost its first 512 samples.
|
||||
MODE_RAW16 = (0x00, 0x00)
|
||||
_MODES = (MODE_DELTA, MODE_ABSOLUTE, MODE_RAW12, MODE_RAW16)
|
||||
|
||||
# Preambles whose leading data is untagged and therefore cannot be
|
||||
# block-walked; find_first_record() must scan for the next record instead.
|
||||
_UNTAGGED_MODES = (MODE_RAW12, MODE_RAW16)
|
||||
_MODES = (MODE_DELTA, MODE_ABSOLUTE, MODE_RAW12)
|
||||
|
||||
|
||||
def _u16(b: bytes, p: int) -> int:
|
||||
@@ -758,18 +747,7 @@ def data_block_len(body: bytes, p: int) -> Tuple[Optional[int], Optional[int]]:
|
||||
hi = t0 & 0xF0
|
||||
nn = ((t0 & 0x0F) << 8) | t1
|
||||
if hi == 0x40: # int16 BE data block
|
||||
# NN was capped at 0x08 until 2026-09-11. That cap had no basis: the
|
||||
# two corpora available at the time only ever used NN in {1,2,3,4,8},
|
||||
# so it was never exercised. Loud UM12947 events use NN of 12, 16,
|
||||
# 20 ... up to 196, and every value above 8 halted the walk, which
|
||||
# surfaced as silently short channels (walk_body/run stop at the first
|
||||
# unrecognised tag rather than raising). Verified against Thor's own
|
||||
# exports: 22 length-mismatched files -> 0, and the affected corpus
|
||||
# went to 1,476,242/1,476,249 samples exact. The real bound is the
|
||||
# buffer; the caller additionally clamps to the record end.
|
||||
if nn == 0 or p + 2 * nn + 2 > len(body):
|
||||
return None, None
|
||||
return 2 * nn + 2, nn
|
||||
return (None, None) if (nn == 0 or nn > 0x08) else (2 * nn + 2, nn)
|
||||
if nn == 0 or nn % 4:
|
||||
return None, None
|
||||
if hi == 0x00:
|
||||
@@ -783,11 +761,6 @@ def data_block_len(body: bytes, p: int) -> Tuple[Optional[int], Optional[int]]:
|
||||
return None, None
|
||||
|
||||
|
||||
def unpack16(data: bytes) -> List[int]:
|
||||
"""Raw int16 BE absolute samples (MODE_RAW16)."""
|
||||
return [_i16(data, 2 * k) for k in range(len(data) // 2)]
|
||||
|
||||
|
||||
def unpack12(data: bytes) -> List[int]:
|
||||
"""Raw 12-bit packed samples: 6 bytes -> 4 signed values."""
|
||||
out: List[int] = []
|
||||
@@ -812,17 +785,13 @@ def find_first_record(body: bytes) -> Optional[int]:
|
||||
"""Offset of the first record, or None.
|
||||
|
||||
Under the normal ``00 02 00`` preamble the leading bytes are segment-0's
|
||||
Tran blocks, so walk them. Under the untagged preambles (``00 00 03``
|
||||
raw-12 and ``00 00 00`` raw-16) that data has no tags at all and cannot
|
||||
be block-walked — scan for the next record header instead.
|
||||
Tran blocks, so walk them. Under the ``00 00 03`` preamble that data is
|
||||
raw 12-bit with no tags at all and cannot be block-walked — scan instead.
|
||||
"""
|
||||
if len(body) >= 3 and (body[1], body[2]) in _UNTAGGED_MODES:
|
||||
if len(body) >= 3 and (body[1], body[2]) == MODE_RAW12:
|
||||
scan_from = 3
|
||||
else:
|
||||
# Tagged preamble. MODE_DELTA carries a 14-byte record header (two
|
||||
# int16 anchors), so its blocks start at body[7]; MODE_ABSOLUTE has a
|
||||
# 10-byte header and starts at body[3].
|
||||
i = 3 if (len(body) >= 3 and (body[1], body[2]) == MODE_ABSOLUTE) else 7
|
||||
i = 7
|
||||
while i < len(body):
|
||||
if is_record(body, i):
|
||||
nxt = i + 2 + _u16(body, i + 2)
|
||||
@@ -881,7 +850,7 @@ def decode_waveform_v2(body: bytes) -> Optional[dict]:
|
||||
if len(body) < 8 or body[0] != 0x00:
|
||||
return None
|
||||
preamble = (body[1], body[2])
|
||||
if preamble not in (MODE_DELTA, MODE_ABSOLUTE, MODE_RAW12, MODE_RAW16):
|
||||
if preamble not in (MODE_DELTA, MODE_RAW12):
|
||||
return None
|
||||
first = find_first_record(body)
|
||||
if first is None:
|
||||
@@ -926,10 +895,6 @@ def decode_waveform_v2(body: bytes) -> Optional[dict]:
|
||||
if preamble == MODE_DELTA:
|
||||
out["Tran"].extend([_i16(body, 3), _i16(body, 5)])
|
||||
run("Tran", 7, first, absolute=False)
|
||||
elif preamble == MODE_ABSOLUTE:
|
||||
run("Tran", 3, first, absolute=True)
|
||||
elif preamble == MODE_RAW16:
|
||||
out["Tran"].extend(unpack16(body[3:first]))
|
||||
else:
|
||||
out["Tran"].extend(unpack12(body[3:first]))
|
||||
|
||||
@@ -943,6 +908,4 @@ def decode_waveform_v2(body: bytes) -> Optional[dict]:
|
||||
run(ch, off + 10, end, absolute=True)
|
||||
elif mode == MODE_RAW12:
|
||||
out[ch].extend(unpack12(body[off + 10:end]))
|
||||
elif mode == MODE_RAW16:
|
||||
out[ch].extend(unpack16(body[off + 10:end]))
|
||||
return out
|
||||
|
||||
+1
-1
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
|
||||
|
||||
[project]
|
||||
name = "seismo-relay"
|
||||
version = "0.30.0"
|
||||
version = "0.27.0"
|
||||
description = "Python client and REST server for MiniMate Plus seismographs"
|
||||
requires-python = ">=3.10"
|
||||
dependencies = [
|
||||
|
||||
@@ -1,91 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Detect NON-MOTION on a geophone channel: |mean| / peak.
|
||||
|
||||
A geophone is a velocity sensor with no DC response, so its output over a
|
||||
record must integrate to ~zero — the ground does not relocate. Real motion
|
||||
therefore sits roughly half above and half below zero. Anything electrical —
|
||||
a charge-injection spike, a step, a parked pedestal — is one-sided.
|
||||
|
||||
mp = |mean| / peak ~0 for motion, ~1 for a pedestal
|
||||
frac_neg = share of samples < 0 ~0.3-0.5 for motion, ~0 for a fault
|
||||
|
||||
Why this beats the pre-trigger floor (`offset_scan3.py`): that detector's
|
||||
`spread <= 0.02` gate rejects any record whose floor is MOVING, which is
|
||||
exactly what an onset is — it discarded the one BE18438 record in which the
|
||||
ramp was visible. This test is indifferent to whether the fault is a spike,
|
||||
a ramp or a flat pedestal; none of them cross zero.
|
||||
|
||||
⚠ Not a rediscovery of the retracted v1 detector. v1 scored only the
|
||||
largest-peak axis and used the mean as a BASELINE estimator, where the median
|
||||
was required. Here the mean is the signal itself, per channel, and that is
|
||||
what the physics licenses.
|
||||
"""
|
||||
from __future__ import annotations
|
||||
import argparse, csv, re, statistics, sys
|
||||
from concurrent.futures import ProcessPoolExecutor, as_completed
|
||||
from pathlib import Path
|
||||
sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
|
||||
from minimateplus.event_file_io import read_blastware_file
|
||||
|
||||
GEO=("Tran","Vert","Long"); K=10.0/32000.0
|
||||
_WAVE=re.compile(r"\.[A-Za-z0-9]{2}0[Ww]$"); _STEM=re.compile(r"^([B-Z])(\d{3})")
|
||||
_SER=re.compile(rb"[A-Z]{2}\d{3,6}")
|
||||
|
||||
def serial_of(name, path=None):
|
||||
m=_STEM.match(name)
|
||||
if not m: return "?"
|
||||
num=(ord(m.group(1))-ord("B"))*1000+int(m.group(2))
|
||||
if path is not None:
|
||||
try:
|
||||
for s in _SER.findall(Path(path).read_bytes()):
|
||||
s=s.decode()
|
||||
if s[2:].lstrip("0")==str(num): return s
|
||||
except Exception: pass
|
||||
return f"BE{num}"
|
||||
|
||||
def scan(ps):
|
||||
import logging; logging.disable(logging.WARNING)
|
||||
p=Path(ps)
|
||||
try: ev=read_blastware_file(p)
|
||||
except Exception: return None
|
||||
s=ev.raw_samples or {}
|
||||
if not all(s.get(c) for c in GEO): return None
|
||||
ts=ev.timestamp
|
||||
stamp=(f"{ts.year:04d}-{ts.month:02d}-{ts.day:02d}T"
|
||||
f"{ts.hour:02d}:{ts.minute:02d}:{ts.second:02d}") if ts else ""
|
||||
ser=serial_of(p.name,p); out=[]
|
||||
for ch in GEO:
|
||||
a=[x*K for x in s[ch]]
|
||||
pk=max(abs(x) for x in a)
|
||||
if pk<=0: continue
|
||||
out.append({"serial":ser,"timestamp":stamp,"filename":p.name,"channel":ch,
|
||||
"peak":round(pk,4),
|
||||
"mean":round(statistics.fmean(a),4),
|
||||
"mp":round(abs(statistics.fmean(a))/pk,4),
|
||||
"frac_neg":round(sum(1 for x in a if x<0)/len(a),4),
|
||||
"n":len(a)})
|
||||
return out
|
||||
|
||||
COLS=["serial","timestamp","filename","channel","peak","mean","mp","frac_neg","n"]
|
||||
|
||||
def main():
|
||||
ap=argparse.ArgumentParser()
|
||||
ap.add_argument("--dir",required=True); ap.add_argument("--out",required=True)
|
||||
ap.add_argument("--jobs",type=int,default=4)
|
||||
a=ap.parse_args()
|
||||
seen=set(); files=[]
|
||||
for q in sorted(Path(a.dir).rglob("*")):
|
||||
if q.is_file() and _WAVE.search(q.name) and q.name not in seen:
|
||||
seen.add(q.name); files.append(str(q))
|
||||
print(f"unique waveform binaries: {len(files)}",flush=True)
|
||||
rows=[]
|
||||
with ProcessPoolExecutor(max_workers=a.jobs) as ex:
|
||||
for i,f in enumerate(as_completed([ex.submit(scan,p) for p in files]),1):
|
||||
r=f.result()
|
||||
if r: rows.extend(r)
|
||||
if i%1000==0: print(f" {i}/{len(files)}",flush=True)
|
||||
with open(a.out,"w",newline="") as fh:
|
||||
w=csv.DictWriter(fh,fieldnames=COLS); w.writeheader(); w.writerows(rows)
|
||||
print(f"\nwrote {a.out} ({len(rows)} channel-rows)")
|
||||
|
||||
if __name__=="__main__": main()
|
||||
@@ -1,234 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Offset detector — HISTOGRAM corpus (the other 90% of the archive).
|
||||
|
||||
`offset_scan3.py` measures the pre-trigger floor in *waveform* samples. That
|
||||
covers 6,577 of the archive's 70,112 unique series-3 files; the remaining
|
||||
63,535 are **histograms**, which carry no samples — only a per-interval,
|
||||
per-channel peak + half-period. So the pre-trigger method cannot run on them.
|
||||
|
||||
The histogram analogue of "the resting floor" is the **low percentile of the
|
||||
per-interval peaks**. A histogram file is typically hours of continuous
|
||||
monitoring, so the great majority of its intervals are definitionally quiet;
|
||||
the bottom of that distribution is what the channel reads when nothing is
|
||||
happening. A healthy channel bottoms out at 0.000-0.005 in/s. A channel
|
||||
parked off zero cannot report a peak below its own displacement, so its floor
|
||||
is pinned up.
|
||||
|
||||
⚠ The DC leakage into the histogram peak is PARTIAL. Measured within-unit
|
||||
against episodes already established from the waveform scan:
|
||||
|
||||
BE18438 Vert in-episode 0.0350 vs 0.0050 outside (waveform pre = +0.18..+0.37)
|
||||
BE12599 Tran in-episode 0.0250 vs 0.0050 outside (waveform pre = +0.03..+0.49)
|
||||
|
||||
so the device's per-interval peak is evidently measured against a running /
|
||||
AC-coupled baseline that removes most, but not all, of the DC. The residual
|
||||
is real and channel-specific, but the margin is ~5 quantisation counts rather
|
||||
than the ~70 the waveform detector enjoys. Do not carry the waveform
|
||||
detector's 0.025 in/s floor across unexamined — calibrate on the CSV.
|
||||
|
||||
Because the absolute floor also moves with site noise (traffic, wind, a
|
||||
generator), the statistic that matters most is the **cross-channel
|
||||
differential**: a channel's floor minus the quietest of the other two geo
|
||||
channels in the same file. Site noise lifts all three together and cancels;
|
||||
a DC offset lifts one.
|
||||
|
||||
This script does not decide anything. It emits every candidate statistic per
|
||||
(file, channel) so thresholds can be calibrated against the waveform-derived
|
||||
ground truth in `offset_v3.csv` rather than guessed.
|
||||
|
||||
Usage:
|
||||
python scratch/offset_hist_scan.py --dir /home/serversdown/dl2-archive/files \
|
||||
--out /home/serversdown/dl2-archive/offset_hist.csv --jobs 4
|
||||
"""
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import csv
|
||||
import datetime
|
||||
import logging
|
||||
import re
|
||||
import statistics
|
||||
import sys
|
||||
from concurrent.futures import ProcessPoolExecutor, as_completed
|
||||
from pathlib import Path
|
||||
|
||||
sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
|
||||
from minimateplus.event_file_io import read_blastware_file # noqa: E402
|
||||
|
||||
GEO = ("Tran", "Vert", "Long")
|
||||
K = 10.0 / 32000.0 # ADC count -> in/s (see CLAUDE.md: full scale 32000)
|
||||
_HIST = re.compile(r"\.[A-Za-z0-9]{2}0[Hh]$")
|
||||
_STEM = re.compile(r"^([B-Z])(\d{3})")
|
||||
_B36 = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ"
|
||||
|
||||
|
||||
_SERIAL_RE = re.compile(rb"\b([A-Z]{2}\d{3,6})\b")
|
||||
|
||||
|
||||
def serial_of(name: str, path=None) -> str:
|
||||
"""Real serial for a BW file.
|
||||
|
||||
The filename encodes only the NUMBER: `<letter><3 digits>` where
|
||||
letter = chr(ord('B') + serial // 1000). The two-letter family prefix
|
||||
("BE", "BA", ...) is **not** in the filename, so it must be read out of
|
||||
the file body. Four units in the DL2 archive are BA, not BE — assuming
|
||||
"BE" mislabels BA9229, BA10060, BA10895 and BA15957.
|
||||
"""
|
||||
m = _STEM.match(name)
|
||||
if not m:
|
||||
return "?"
|
||||
num = (ord(m.group(1)) - ord("B")) * 1000 + int(m.group(2))
|
||||
if path is not None:
|
||||
try:
|
||||
for s in _SERIAL_RE.findall(Path(path).read_bytes()):
|
||||
s = s.decode()
|
||||
if s[2:].lstrip("0") == str(num):
|
||||
return s
|
||||
except Exception:
|
||||
pass
|
||||
return f"BE{num}" # last-resort fallback; prefix unverified
|
||||
|
||||
|
||||
def stem_time(name: str):
|
||||
"""Decode the filename's base-36 timestamp. Epoch 1985-01-01, 1296 s/tick.
|
||||
|
||||
Preferred over the file's own footer timestamp only because it costs
|
||||
nothing; the caller falls back to the decoded event when this fails.
|
||||
"""
|
||||
try:
|
||||
base, ext = name.rsplit(".", 1)
|
||||
n = 0
|
||||
for c in base[4:8].upper():
|
||||
n = n * 36 + _B36.index(c)
|
||||
ab = _B36.index(ext[0].upper()) * 36 + _B36.index(ext[1].upper())
|
||||
return datetime.datetime(1985, 1, 1) + datetime.timedelta(seconds=n * 1296 + ab)
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
|
||||
def _pct(sorted_vals, q):
|
||||
"""Nearest-rank percentile on an already-sorted list."""
|
||||
if not sorted_vals:
|
||||
return None
|
||||
i = min(len(sorted_vals) - 1, max(0, int(len(sorted_vals) * q / 100.0)))
|
||||
return sorted_vals[i]
|
||||
|
||||
|
||||
def scan(path_str: str):
|
||||
logging.disable(logging.WARNING) # per-worker: the codec warns on undecodables
|
||||
p = Path(path_str)
|
||||
try:
|
||||
ev = read_blastware_file(p)
|
||||
except Exception:
|
||||
return None
|
||||
s = ev.raw_samples or {}
|
||||
if not any(s.get(c) for c in GEO):
|
||||
return None
|
||||
|
||||
ts = stem_time(p.name) or ev.timestamp
|
||||
stamp = ""
|
||||
if ts is not None:
|
||||
stamp = (f"{ts.year:04d}-{ts.month:02d}-{ts.day:02d}T"
|
||||
f"{ts.hour:02d}:{ts.minute:02d}:{ts.second:02d}")
|
||||
|
||||
# Per-channel floor candidates, in in/s.
|
||||
stats = {}
|
||||
for ch in GEO:
|
||||
v = sorted(s.get(ch) or [])
|
||||
if not v:
|
||||
continue
|
||||
stats[ch] = {
|
||||
"n": len(v),
|
||||
"min": v[0] * K,
|
||||
"p1": _pct(v, 1) * K,
|
||||
"p5": _pct(v, 5) * K,
|
||||
"p10": _pct(v, 10) * K,
|
||||
"p25": _pct(v, 25) * K,
|
||||
"med": statistics.median(v) * K,
|
||||
"peak": v[-1] * K,
|
||||
"zeros": sum(1 for x in v if x == 0) / len(v),
|
||||
}
|
||||
if len(stats) < 2: # need at least one sibling channel for the differential
|
||||
return None
|
||||
|
||||
# Mic floor as a site-noise proxy (raw counts; the dB conversion is not
|
||||
# needed — only its relative movement matters here).
|
||||
mic = sorted(s.get("MicL") or [])
|
||||
mic_p5 = _pct(mic, 5) if mic else ""
|
||||
|
||||
rows = []
|
||||
for ch, st in stats.items():
|
||||
others = [stats[o]["p5"] for o in stats if o != ch]
|
||||
rows.append({
|
||||
"serial": serial_of(p.name, p),
|
||||
"timestamp": stamp,
|
||||
"filename": p.name,
|
||||
"channel": ch,
|
||||
"n_intervals": st["n"],
|
||||
"min": round(st["min"], 4),
|
||||
"p1": round(st["p1"], 4),
|
||||
"p5": round(st["p5"], 4),
|
||||
"p10": round(st["p10"], 4),
|
||||
"p25": round(st["p25"], 4),
|
||||
"median": round(st["med"], 4),
|
||||
"peak": round(st["peak"], 4),
|
||||
"frac_zero": round(st["zeros"], 4),
|
||||
# the site-noise-cancelling statistic: this channel's floor above
|
||||
# the quietest sibling geo channel in the same file
|
||||
"diff_p5": round(st["p5"] - min(others), 4),
|
||||
"mic_p5": mic_p5,
|
||||
})
|
||||
return rows
|
||||
|
||||
|
||||
COLS = ["serial", "timestamp", "filename", "channel", "n_intervals",
|
||||
"min", "p1", "p5", "p10", "p25", "median", "peak", "frac_zero",
|
||||
"diff_p5", "mic_p5"]
|
||||
|
||||
|
||||
def main():
|
||||
ap = argparse.ArgumentParser()
|
||||
ap.add_argument("--dir", required=True)
|
||||
ap.add_argument("--out", required=True)
|
||||
ap.add_argument("--jobs", type=int, default=4)
|
||||
ap.add_argument("--limit", type=int, default=0, help="stop after N files (smoke test)")
|
||||
a = ap.parse_args()
|
||||
|
||||
# Dedupe by basename — the DL2 export keeps a byte-identical `Sent/`
|
||||
# mirror of its root, which doubled two figures before it was caught.
|
||||
seen, files = set(), []
|
||||
for q in sorted(Path(a.dir).rglob("*")):
|
||||
if q.is_file() and _HIST.search(q.name) and q.name not in seen:
|
||||
seen.add(q.name)
|
||||
files.append(str(q))
|
||||
if a.limit:
|
||||
files = files[:a.limit]
|
||||
print(f"unique histogram binaries: {len(files)}", flush=True)
|
||||
|
||||
rows, undecodable = [], 0
|
||||
with ProcessPoolExecutor(max_workers=a.jobs) as ex:
|
||||
futs = [ex.submit(scan, f) for f in files]
|
||||
for i, fut in enumerate(as_completed(futs), 1):
|
||||
r = fut.result()
|
||||
if r:
|
||||
rows.extend(r)
|
||||
else:
|
||||
undecodable += 1
|
||||
if i % 5000 == 0:
|
||||
print(f" {i}/{len(files)}", flush=True)
|
||||
|
||||
with open(a.out, "w", newline="") as fh:
|
||||
w = csv.DictWriter(fh, fieldnames=COLS)
|
||||
w.writeheader()
|
||||
w.writerows(rows)
|
||||
|
||||
files_ok = len({r["filename"] for r in rows})
|
||||
units = len({r["serial"] for r in rows})
|
||||
ivals = sum(r["n_intervals"] for r in rows) // 3
|
||||
print(f"\ndecoded {files_ok}/{len(files)} files "
|
||||
f"({undecodable} undecodable), {units} units, ~{ivals/1e6:.1f}M intervals")
|
||||
print(f"wrote {a.out} ({len(rows)} channel-rows)")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
+4
-26
@@ -28,31 +28,9 @@ from minimateplus.event_file_io import read_blastware_file
|
||||
GEO=("Tran","Vert","Long"); K=10.0/32000.0
|
||||
_WAVE=re.compile(r"\.[A-Za-z0-9]{2}0[Ww]$"); _STEM=re.compile(r"^([B-Z])(\d{3})")
|
||||
|
||||
_SERIAL_RE = re.compile(rb"\b([A-Z]{2}\d{3,6})\b")
|
||||
|
||||
|
||||
def serial_of(name: str, path=None) -> str:
|
||||
"""Real serial for a BW file.
|
||||
|
||||
The filename encodes only the NUMBER: `<letter><3 digits>` where
|
||||
letter = chr(ord('B') + serial // 1000). The two-letter family prefix
|
||||
("BE", "BA", ...) is **not** in the filename, so it must be read out of
|
||||
the file body. Four units in the DL2 archive are BA, not BE — assuming
|
||||
"BE" mislabels BA9229, BA10060, BA10895 and BA15957.
|
||||
"""
|
||||
m = _STEM.match(name)
|
||||
if not m:
|
||||
return "?"
|
||||
num = (ord(m.group(1)) - ord("B")) * 1000 + int(m.group(2))
|
||||
if path is not None:
|
||||
try:
|
||||
for s in _SERIAL_RE.findall(Path(path).read_bytes()):
|
||||
s = s.decode()
|
||||
if s[2:].lstrip("0") == str(num):
|
||||
return s
|
||||
except Exception:
|
||||
pass
|
||||
return f"BE{num}" # last-resort fallback; prefix unverified
|
||||
def serial_of(n):
|
||||
m=_STEM.match(n)
|
||||
return f"BE{(ord(m.group(1))-ord('B'))*1000+int(m.group(2))}" if m else "?"
|
||||
|
||||
def scan(ps):
|
||||
p=Path(ps)
|
||||
@@ -70,7 +48,7 @@ def scan(ps):
|
||||
mid, end = a[t:2*t], a[2*t:]
|
||||
if not pre or not mid or not end: continue
|
||||
v=[statistics.median(x)*K for x in (pre,mid,end)]
|
||||
out.append({"serial":serial_of(p.name, p),"timestamp":stamp,
|
||||
out.append({"serial":serial_of(p.name),"timestamp":stamp,
|
||||
"filename":p.name,"channel":ch,
|
||||
"pretrig_n": pre_n or 0,
|
||||
"pre":round(v[0],4),"mid":round(v[1],4),"end":round(v[2],4),
|
||||
|
||||
@@ -1,228 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Verify the Thor / Micromate (series-4) IDF decoder against Thor's own exports.
|
||||
|
||||
Sister harness to ``scratch/verify_against_ascii.py`` (series-3 / Blastware).
|
||||
|
||||
Ground truth is the ``.IDFW.csv`` / ``.IDFH.csv`` file Thor writes next to each
|
||||
binary, under a sibling ``CSV/`` directory:
|
||||
|
||||
<dir>/UM13981_20220207084555.IDFW
|
||||
<dir>/CSV/UM13981_20220207084555.IDFW.csv
|
||||
|
||||
For waveforms the CSV carries a per-sample block of four columns
|
||||
(Tran, Vert, Long, Mic) in in/s and psi -- i.e. true per-sample ground truth,
|
||||
exactly what the BW ASCII exports give us for series-3. The leading 2-column
|
||||
rows are the report header (PPV, sample rate, geo range, ...).
|
||||
|
||||
Usage:
|
||||
python scratch/verify_thor_against_csv.py [--root DIR] [--lsb FLOAT]
|
||||
[--limit N] [--kind idfw|idfh|both]
|
||||
"""
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import csv
|
||||
import os
|
||||
import statistics
|
||||
import sys
|
||||
from collections import Counter, defaultdict
|
||||
|
||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
|
||||
from micromate import idf_file as M
|
||||
|
||||
DEFAULT_ROOT = "/home/serversdown/thor-watcher/example-data"
|
||||
GEO = ("Tran", "Vert", "Long")
|
||||
|
||||
|
||||
def parse_export(path):
|
||||
"""Return (header_dict, sample_rows) from a Thor CSV export."""
|
||||
hdr, rows = {}, []
|
||||
with open(path, newline="", encoding="utf-8", errors="replace") as fh:
|
||||
for rec in csv.reader(fh):
|
||||
if len(rec) == 2:
|
||||
hdr[rec[0].strip()] = rec[1].strip()
|
||||
elif len(rec) >= 3:
|
||||
try:
|
||||
rows.append([float(x) for x in rec])
|
||||
except ValueError:
|
||||
pass
|
||||
return hdr, rows
|
||||
|
||||
|
||||
def index_corpus(root):
|
||||
"""Map BASENAME.IDFW -> (binary_path, csv_path) for every paired file."""
|
||||
exports, binaries = {}, {}
|
||||
for dirpath, _dirs, files in os.walk(root):
|
||||
for name in files:
|
||||
up = name.upper()
|
||||
full = os.path.join(dirpath, name)
|
||||
if up.endswith(".IDFW.CSV") or up.endswith(".IDFH.CSV"):
|
||||
exports.setdefault(name[:-4].upper(), full)
|
||||
elif up.endswith(".IDFW") or up.endswith(".IDFH"):
|
||||
binaries.setdefault(up, full)
|
||||
return {k: (binaries[k], exports[k]) for k in binaries.keys() & exports.keys()}
|
||||
|
||||
|
||||
def hdr_float(hdr, key):
|
||||
raw = hdr.get(key)
|
||||
if not raw:
|
||||
return None
|
||||
try:
|
||||
return float(raw.split()[0])
|
||||
except (ValueError, IndexError):
|
||||
return None
|
||||
|
||||
|
||||
def verify_waveform(binpath, csvpath, lsb):
|
||||
"""Compare one IDFW against its export. Returns a result dict."""
|
||||
out = {"file": os.path.basename(binpath), "status": "ok"}
|
||||
try:
|
||||
res = M.read_idf_file(binpath)
|
||||
except NotImplementedError:
|
||||
out["status"] = "not-thor"
|
||||
return out
|
||||
except Exception as exc: # noqa: BLE001 - harness reports, never raises
|
||||
out["status"] = "decode-error"
|
||||
out["detail"] = f"{type(exc).__name__}: {exc}"
|
||||
return out
|
||||
|
||||
hdr, rows = parse_export(csvpath)
|
||||
if not rows:
|
||||
out["status"] = "no-gt-samples"
|
||||
return out
|
||||
|
||||
gt = {ch: [r[i] for r in rows] for i, ch in enumerate(GEO)}
|
||||
out["gt_len"] = len(rows)
|
||||
out["geo_range"] = hdr.get("GeoRange")
|
||||
|
||||
exact = total = 0
|
||||
lens, chan_status = {}, {}
|
||||
ppv_err = {}
|
||||
for ch in GEO:
|
||||
arr = res.samples.get(ch, [])
|
||||
ref = gt[ch]
|
||||
lens[ch] = len(arr)
|
||||
if len(arr) != len(ref):
|
||||
chan_status[ch] = "length"
|
||||
continue
|
||||
if not arr:
|
||||
chan_status[ch] = "empty"
|
||||
continue
|
||||
hits = sum(1 for c, v in zip(arr, ref) if abs(c * lsb - v) < 5e-5)
|
||||
exact += hits
|
||||
total += len(arr)
|
||||
chan_status[ch] = "exact" if hits == len(arr) else "value"
|
||||
gp = hdr_float(hdr, f"{ch}PPV")
|
||||
if gp:
|
||||
ppv_err[ch] = (max(abs(c) for c in arr) * lsb - gp) / gp
|
||||
|
||||
out["lens"] = lens
|
||||
out["chan_status"] = chan_status
|
||||
out["exact"] = exact
|
||||
out["total"] = total
|
||||
out["ppv_err"] = ppv_err
|
||||
if all(v == "exact" for v in chan_status.values()):
|
||||
out["status"] = "exact"
|
||||
elif any(v == "length" for v in chan_status.values()):
|
||||
out["status"] = "length-mismatch"
|
||||
else:
|
||||
out["status"] = "value-mismatch"
|
||||
return out
|
||||
|
||||
|
||||
def verify_histogram(binpath, csvpath, lsb):
|
||||
out = {"file": os.path.basename(binpath), "status": "ok"}
|
||||
try:
|
||||
res = M.read_idf_file(binpath)
|
||||
except NotImplementedError:
|
||||
out["status"] = "not-thor"
|
||||
return out
|
||||
except Exception as exc: # noqa: BLE001
|
||||
out["status"] = "decode-error"
|
||||
out["detail"] = f"{type(exc).__name__}: {exc}"
|
||||
return out
|
||||
hdr, _rows = parse_export(csvpath)
|
||||
out["n_intervals"] = len(res.intervals or [])
|
||||
errs = {}
|
||||
for ch, attr in (("Tran", "transverse_ips"), ("Vert", "vertical_ips"),
|
||||
("Long", "longitudinal_ips")):
|
||||
gp = hdr_float(hdr, f"{ch}PPV")
|
||||
dv = getattr(res.event.peaks, attr, None)
|
||||
if gp and dv:
|
||||
errs[ch] = (dv - gp) / gp
|
||||
out["ppv_err"] = errs
|
||||
out["status"] = "peaks" if errs else "no-gt-peaks"
|
||||
return out
|
||||
|
||||
|
||||
def main():
|
||||
ap = argparse.ArgumentParser()
|
||||
ap.add_argument("--root", default=DEFAULT_ROOT)
|
||||
ap.add_argument("--lsb", type=float, default=M._GEO_LSB_IPS)
|
||||
ap.add_argument("--limit", type=int, default=0)
|
||||
ap.add_argument("--kind", choices=("idfw", "idfh", "both"), default="both")
|
||||
ap.add_argument("--show", type=int, default=15, help="worst-N detail rows")
|
||||
args = ap.parse_args()
|
||||
|
||||
pairs = index_corpus(args.root)
|
||||
keys = sorted(pairs)
|
||||
if args.kind != "both":
|
||||
keys = [k for k in keys if k.endswith(args.kind.upper())]
|
||||
if args.limit:
|
||||
keys = keys[: args.limit]
|
||||
|
||||
print(f"root: {args.root}")
|
||||
print(f"geo LSB under test: {args.lsb!r} in/s per count")
|
||||
print(f"paired files: {len(keys)}\n")
|
||||
|
||||
wf, hg = [], []
|
||||
for k in keys:
|
||||
binpath, csvpath = pairs[k]
|
||||
if k.endswith(".IDFW"):
|
||||
wf.append(verify_waveform(binpath, csvpath, args.lsb))
|
||||
else:
|
||||
hg.append(verify_histogram(binpath, csvpath, args.lsb))
|
||||
|
||||
if wf:
|
||||
st = Counter(r["status"] for r in wf)
|
||||
ex = sum(r.get("exact", 0) for r in wf)
|
||||
tot = sum(r.get("total", 0) for r in wf)
|
||||
print("=" * 68)
|
||||
print(f"WAVEFORM (IDFW): {len(wf)} files")
|
||||
for s, n in st.most_common():
|
||||
print(f" {s:16} {n:5d} ({100*n/len(wf):5.1f}%)")
|
||||
if tot:
|
||||
print(f" per-sample exact: {ex}/{tot} = {100*ex/tot:.3f}%")
|
||||
errs = [e for r in wf for e in r.get("ppv_err", {}).values()]
|
||||
if errs:
|
||||
print(f" PPV rel-error: median {statistics.median(errs):+.4%} "
|
||||
f"mean {statistics.mean(errs):+.4%} "
|
||||
f"max|.| {max(abs(e) for e in errs):.4%}")
|
||||
bad = [r for r in wf if r["status"] not in ("exact",)]
|
||||
if bad:
|
||||
print(f"\n worst {min(args.show, len(bad))} of {len(bad)} non-exact:")
|
||||
for r in bad[: args.show]:
|
||||
print(f" {r['file']:42} {r['status']:16} "
|
||||
f"lens={r.get('lens')} gt={r.get('gt_len')} "
|
||||
f"{r.get('detail','')}")
|
||||
|
||||
if hg:
|
||||
st = Counter(r["status"] for r in hg)
|
||||
print("=" * 68)
|
||||
print(f"HISTOGRAM (IDFH): {len(hg)} files")
|
||||
for s, n in st.most_common():
|
||||
print(f" {s:16} {n:5d} ({100*n/len(hg):5.1f}%)")
|
||||
errs = [e for r in hg for e in r.get("ppv_err", {}).values()]
|
||||
if errs:
|
||||
print(f" PPV rel-error: median {statistics.median(errs):+.4%} "
|
||||
f"mean {statistics.mean(errs):+.4%} "
|
||||
f"max|.| {max(abs(e) for e in errs):.4%}")
|
||||
within = lambda t: 100*sum(1 for e in errs if abs(e) <= t)/len(errs)
|
||||
print(f" within 0.5%: {within(0.005):.1f}% "
|
||||
f"within 2%: {within(0.02):.1f}% within 5%: {within(0.05):.1f}%")
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,12 +1,12 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Backfill events.shape_* and shape_offset_* from each event's .h5 samples. Idempotent."""
|
||||
"""Backfill events.shape_* from each event's .h5 waveform samples. Idempotent."""
|
||||
from __future__ import annotations
|
||||
import argparse, logging, sys
|
||||
from pathlib import Path
|
||||
sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
|
||||
from sfm.database import SeismoDb
|
||||
from sfm.waveform_store import WaveformStore
|
||||
from sfm.shape_metrics import shape_from_h5, offset_from_h5
|
||||
from sfm.shape_metrics import shape_from_h5
|
||||
|
||||
log = logging.getLogger("backfill_event_shape")
|
||||
|
||||
@@ -21,7 +21,6 @@ def backfill_shape(db: SeismoDb, store: WaveformStore, *, dry_run: bool = False)
|
||||
if not h5_path.exists():
|
||||
counts["skipped_no_h5"] += 1; continue
|
||||
shape = shape_from_h5(h5_path)
|
||||
offset = offset_from_h5(h5_path)
|
||||
if shape is None:
|
||||
# The .h5 can no longer yield a shape (fewer than 2 samples, or a
|
||||
# flat trace). Clear any previously stored value rather than
|
||||
@@ -29,32 +28,22 @@ def backfill_shape(db: SeismoDb, store: WaveformStore, *, dry_run: bool = False)
|
||||
# from and silently feeds the false-trigger detector. Seen after
|
||||
# a decoder fix shrinks an event: 493 rows in the prod snapshot
|
||||
# were carrying metrics from a superseded decode (2026-08-25).
|
||||
if (row.get("shape_crest_factor") is not None
|
||||
or row.get("shape_offset") is not None):
|
||||
if row.get("shape_crest_factor") is not None:
|
||||
if not dry_run:
|
||||
with db._connect() as conn:
|
||||
conn.execute(
|
||||
"UPDATE events SET shape_crest_factor=NULL, "
|
||||
"shape_near_peak_count=NULL, shape_sample_count=NULL, "
|
||||
"shape_axis=NULL, shape_offset=NULL, shape_offset_axis=NULL, "
|
||||
"shape_offset_pre=NULL, shape_offset_spread=NULL WHERE id=?",
|
||||
(row["id"],))
|
||||
"shape_axis=NULL WHERE id=?", (row["id"],))
|
||||
counts["cleared_stale"] += 1
|
||||
counts["skipped_no_samples"] += 1; continue
|
||||
if not dry_run:
|
||||
with db._connect() as conn:
|
||||
conn.execute(
|
||||
"UPDATE events SET shape_crest_factor=?, shape_near_peak_count=?, "
|
||||
"shape_sample_count=?, shape_axis=?, shape_offset=?, "
|
||||
"shape_offset_axis=?, shape_offset_pre=?, shape_offset_spread=? "
|
||||
"WHERE id=?",
|
||||
"shape_sample_count=?, shape_axis=? WHERE id=?",
|
||||
(shape["crest_factor"], shape["near_peak_count"],
|
||||
shape["sample_count"], shape["axis"],
|
||||
(1 if offset["offset"] else 0) if offset else None,
|
||||
offset["axis"] if offset else None,
|
||||
offset["pre"] if offset else None,
|
||||
offset["spread"] if offset else None,
|
||||
row["id"]))
|
||||
shape["sample_count"], shape["axis"], row["id"]))
|
||||
counts["updated"] += 1
|
||||
log.info("backfill_shape: %s", counts)
|
||||
return counts
|
||||
|
||||
+10
-47
@@ -82,7 +82,6 @@ CREATE TABLE IF NOT EXISTS events (
|
||||
record_type TEXT, -- "single_shot" | "continuous"
|
||||
false_trigger INTEGER NOT NULL DEFAULT 0, -- 0=no, 1=yes (manual flag)
|
||||
reviewed_real INTEGER NOT NULL DEFAULT 0, -- 0=no, 1=operator-confirmed real (mutually exclusive with false_trigger)
|
||||
false_trigger_reason TEXT, -- optional FT cause ("offset", ...); NULL = none. Only meaningful when false_trigger=1.
|
||||
blastware_filename TEXT, -- event file within waveform store; extension is per-event (AB0T encodes timestamp)
|
||||
blastware_filesize INTEGER, -- bytes; NULL if no event file saved
|
||||
a5_pickle_filename TEXT, -- "<filename>.a5.pkl" sidecar
|
||||
@@ -100,10 +99,6 @@ CREATE TABLE IF NOT EXISTS events (
|
||||
shape_near_peak_count INTEGER, -- samples >= 0.5 * peak (FT: few; real: many)
|
||||
shape_sample_count INTEGER, -- total samples (to normalize near_peak_count)
|
||||
shape_axis TEXT, -- geophone channel measured ("Tran"/"Vert"/"Long")
|
||||
shape_offset INTEGER, -- 1 = DC-offset false trigger (pre-trigger baseline off zero + flat). Meaningful for waveforms only.
|
||||
shape_offset_axis TEXT, -- geo channel the offset was measured on
|
||||
shape_offset_pre REAL, -- pre-trigger baseline median (in/s)
|
||||
shape_offset_spread REAL, -- max(pre,mid,end) - min(...) in in/s; small = constant/DC
|
||||
created_at TEXT NOT NULL DEFAULT (strftime('%Y-%m-%dT%H:%M:%SZ', 'now')),
|
||||
UNIQUE(serial, timestamp)
|
||||
);
|
||||
@@ -230,12 +225,7 @@ class SeismoDb:
|
||||
("shape_near_peak_count", "INTEGER"),
|
||||
("shape_sample_count", "INTEGER"),
|
||||
("shape_axis", "TEXT"),
|
||||
("shape_offset", "INTEGER"),
|
||||
("shape_offset_axis", "TEXT"),
|
||||
("shape_offset_pre", "REAL"),
|
||||
("shape_offset_spread", "REAL"),
|
||||
("reviewed_real", "INTEGER NOT NULL DEFAULT 0"),
|
||||
("false_trigger_reason", "TEXT"),
|
||||
):
|
||||
if col not in existing_cols:
|
||||
log.info("_migrate: events ADD COLUMN %s %s", col, ddl)
|
||||
@@ -440,11 +430,9 @@ class SeismoDb:
|
||||
tran_zc_above_range, vert_zc_above_range,
|
||||
long_zc_above_range, mic_zc_above_range,
|
||||
shape_crest_factor, shape_near_peak_count,
|
||||
shape_sample_count, shape_axis,
|
||||
shape_offset, shape_offset_axis,
|
||||
shape_offset_pre, shape_offset_spread)
|
||||
shape_sample_count, shape_axis)
|
||||
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?,
|
||||
?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
|
||||
?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
|
||||
""",
|
||||
(
|
||||
self._new_id(), serial, key, session_id, ts,
|
||||
@@ -476,10 +464,6 @@ class SeismoDb:
|
||||
rec.get("shape_near_peak_count"),
|
||||
rec.get("shape_sample_count"),
|
||||
rec.get("shape_axis"),
|
||||
rec.get("shape_offset"),
|
||||
rec.get("shape_offset_axis"),
|
||||
rec.get("shape_offset_pre"),
|
||||
rec.get("shape_offset_spread"),
|
||||
),
|
||||
)
|
||||
inserted += 1
|
||||
@@ -533,11 +517,7 @@ class SeismoDb:
|
||||
shape_crest_factor = COALESCE(?, shape_crest_factor),
|
||||
shape_near_peak_count = COALESCE(?, shape_near_peak_count),
|
||||
shape_sample_count = COALESCE(?, shape_sample_count),
|
||||
shape_axis = COALESCE(?, shape_axis),
|
||||
shape_offset = COALESCE(?, shape_offset),
|
||||
shape_offset_axis = COALESCE(?, shape_offset_axis),
|
||||
shape_offset_pre = COALESCE(?, shape_offset_pre),
|
||||
shape_offset_spread = COALESCE(?, shape_offset_spread)
|
||||
shape_axis = COALESCE(?, shape_axis)
|
||||
WHERE serial = ? AND timestamp = ?
|
||||
""",
|
||||
(
|
||||
@@ -569,10 +549,6 @@ class SeismoDb:
|
||||
rec.get("shape_near_peak_count") if rec else None,
|
||||
rec.get("shape_sample_count") if rec else None,
|
||||
rec.get("shape_axis") if rec else None,
|
||||
rec.get("shape_offset") if rec else None,
|
||||
rec.get("shape_offset_axis") if rec else None,
|
||||
rec.get("shape_offset_pre") if rec else None,
|
||||
rec.get("shape_offset_spread") if rec else None,
|
||||
serial,
|
||||
ts,
|
||||
),
|
||||
@@ -715,9 +691,9 @@ class SeismoDb:
|
||||
|
||||
def propagate_review_to_twins(self, event_id: str, *, window_seconds: int | None = None) -> list[str]:
|
||||
"""
|
||||
Copy this event's `false_trigger`/`reviewed_real`/`false_trigger_reason`
|
||||
columns onto each of its histogram/waveform twins (see `find_twins`), so
|
||||
flagging one twin flags both. Returns the list of twin ids updated.
|
||||
Copy this event's `false_trigger`/`reviewed_real` columns onto each
|
||||
of its histogram/waveform twins (see `find_twins`), so flagging one
|
||||
twin flags both. Returns the list of twin ids updated.
|
||||
|
||||
``window_seconds`` is accepted for backward compatibility but ignored;
|
||||
twin matching is now interval-based (see `find_twins`).
|
||||
@@ -727,16 +703,12 @@ class SeismoDb:
|
||||
return []
|
||||
ft = 1 if row.get("false_trigger") else 0
|
||||
real = 1 if row.get("reviewed_real") else 0
|
||||
# The reason is a subtype of the FT flag — carry it only when the source
|
||||
# is actually a false trigger, so a confirmed-real twin never keeps one.
|
||||
reason = row.get("false_trigger_reason") if ft else None
|
||||
twins = self.find_twins(event_id)
|
||||
moved = []
|
||||
with self._connect() as conn:
|
||||
for tw in twins:
|
||||
conn.execute(
|
||||
"UPDATE events SET false_trigger=?, reviewed_real=?, false_trigger_reason=? WHERE id=?",
|
||||
(ft, real, reason, tw["id"]))
|
||||
conn.execute("UPDATE events SET false_trigger=?, reviewed_real=? WHERE id=?",
|
||||
(ft, real, tw["id"]))
|
||||
moved.append(tw["id"])
|
||||
return moved
|
||||
|
||||
@@ -757,7 +729,7 @@ class SeismoDb:
|
||||
)
|
||||
else:
|
||||
cur = conn.execute(
|
||||
"UPDATE events SET false_trigger=0, false_trigger_reason=NULL WHERE id=?",
|
||||
"UPDATE events SET false_trigger=0 WHERE id=?",
|
||||
(event_id,),
|
||||
)
|
||||
return cur.rowcount > 0
|
||||
@@ -851,8 +823,7 @@ class SeismoDb:
|
||||
return False
|
||||
has_ft = "false_trigger" in review
|
||||
has_real = "reviewed_real" in review
|
||||
has_reason = "false_trigger_reason" in review
|
||||
if not has_ft and not has_real and not has_reason:
|
||||
if not has_ft and not has_real:
|
||||
# Nothing derived to update; just confirm the row exists.
|
||||
with self._connect() as conn:
|
||||
row = conn.execute(
|
||||
@@ -865,19 +836,11 @@ class SeismoDb:
|
||||
sets["false_trigger"] = 1 if review.get("false_trigger") else 0
|
||||
if has_real:
|
||||
sets["reviewed_real"] = 1 if review.get("reviewed_real") else 0
|
||||
if has_reason:
|
||||
reason = review.get("false_trigger_reason") or None
|
||||
sets["false_trigger_reason"] = reason
|
||||
if reason: # a reason is a subtype of FT → implies FT
|
||||
sets["false_trigger"] = 1
|
||||
# mutual exclusivity: a true in one forces the other column to 0
|
||||
if sets.get("false_trigger") == 1:
|
||||
sets["reviewed_real"] = 0
|
||||
if sets.get("reviewed_real") == 1:
|
||||
sets["false_trigger"] = 0
|
||||
# the reason is only meaningful while flagged FT — clear it if FT ends up 0
|
||||
if sets.get("false_trigger") == 0:
|
||||
sets["false_trigger_reason"] = None
|
||||
assign = ", ".join(f"{k}=?" for k in sets)
|
||||
params = list(sets.values()) + [event_id]
|
||||
with self._connect() as conn:
|
||||
|
||||
+10
-19
@@ -777,19 +777,6 @@ def _draw_waveform_subplot(fig, gridspec_cell, rd: ReportData) -> None:
|
||||
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
|
||||
|
||||
# Shared geo scale across Long/Vert/Tran (matches the event modal + BW's
|
||||
# single amp/div): all three geo lanes use ONE Y scale = the max |sample|
|
||||
# across them (padded, floored), so relative amplitudes stay honest instead
|
||||
# of each lane auto-zooming to its own peak. Mic keeps its own (psi) scale.
|
||||
GEO_FLOOR_INS = 0.05
|
||||
_geo_amax = 0.0
|
||||
for _gch in ("Long", "Vert", "Tran"):
|
||||
for _x in (rd.channels.get(_gch) or []):
|
||||
_a = abs(_x)
|
||||
if _a > _geo_amax:
|
||||
_geo_amax = _a
|
||||
geo_shared = max(_geo_amax * 1.10, GEO_FLOOR_INS)
|
||||
|
||||
last_idx = len(order) - 1
|
||||
for i, ch in enumerate(order):
|
||||
ax = fig.add_subplot(inner[i])
|
||||
@@ -799,10 +786,10 @@ def _draw_waveform_subplot(fig, gridspec_cell, rd: ReportData) -> None:
|
||||
if values:
|
||||
color = _channel_axis_color(ch)
|
||||
ax.plot(times, values, color=color, linewidth=0.5)
|
||||
# Geo: one shared symmetric scale (honest relative amplitudes).
|
||||
# Mic: symmetric on its own psi scale (different unit).
|
||||
# Symmetric y-axis for geo; zero-anchored for mic.
|
||||
if ch != "MicL":
|
||||
ax.set_ylim(-geo_shared, geo_shared)
|
||||
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)
|
||||
@@ -837,9 +824,13 @@ def _draw_waveform_subplot(fig, gridspec_cell, rd: ReportData) -> None:
|
||||
# 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
|
||||
# Footer div value reflects the SHARED geo scale (so it's correct for all
|
||||
# three lanes, not just whichever one happened to be checked first).
|
||||
geo_amp_div = f"{(geo_shared * 2) / 10:.3f}" if _geo_amax > 0 else "—"
|
||||
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",
|
||||
|
||||
@@ -47,60 +47,6 @@ def shape_from_samples(chans: dict) -> dict | None:
|
||||
return s
|
||||
|
||||
|
||||
# ── Offset (DC-baseline) detection ────────────────────────────────────────────
|
||||
# A DC offset is a false trigger where the geophone baseline sits at a constant
|
||||
# non-zero floor (sensor bumped / settled / drifted) instead of oscillating
|
||||
# around zero. Brian's method (validated in scratch/offset_scan3.py): the
|
||||
# pre-trigger window is definitionally quiet, so a true offset shows |pre| off
|
||||
# zero AND stays flat across the record (pre ≈ mid ≈ end). A transient moves one
|
||||
# third relative to the others and is rejected by the spread test.
|
||||
# Thresholds are in in/s (the .h5 samples are already range-scaled); validated at
|
||||
# Normal range (10 in/s) — the only range in the fleet.
|
||||
OFFSET_FLOOR = 0.025 # |pre| at/above this reads as an off-zero baseline (5 A/D counts)
|
||||
OFFSET_MAX_SPREAD = 0.02 # max(pre,mid,end) - min(...) at/below this reads as flat/constant
|
||||
|
||||
|
||||
def _channel_offset(x, pretrig_n):
|
||||
"""Return (pre, spread, is_offset) for one channel, or None if unusable."""
|
||||
x = np.asarray(x, dtype=float)
|
||||
n = x.size
|
||||
if n < 3:
|
||||
return None
|
||||
t = n // 3
|
||||
pre = x[:pretrig_n] if (pretrig_n and 0 < pretrig_n < n) else x[:t]
|
||||
mid, end = x[t:2 * t], x[2 * t:]
|
||||
if pre.size == 0 or mid.size == 0 or end.size == 0:
|
||||
return None
|
||||
vals = [float(np.median(seg)) for seg in (pre, mid, end)]
|
||||
spread = max(vals) - min(vals)
|
||||
is_offset = abs(vals[0]) >= OFFSET_FLOOR and spread <= OFFSET_MAX_SPREAD
|
||||
return vals[0], spread, is_offset
|
||||
|
||||
|
||||
def offset_from_samples(chans: dict, pretrig_n) -> dict | None:
|
||||
"""Detect a DC-offset false trigger across the geophone channels.
|
||||
|
||||
An event is offset if ANY geo channel's pre-trigger baseline is off zero and
|
||||
flat across the record. Reports the tripping axis (or, if none trips, the
|
||||
most-offset-like axis) with its ``pre``/``spread`` for transparency + tuning.
|
||||
Returns None when no geo channel is usable.
|
||||
"""
|
||||
results = []
|
||||
for ax in _GEO_CHANNELS:
|
||||
x = chans.get(ax)
|
||||
if x is None:
|
||||
continue
|
||||
r = _channel_offset(x, pretrig_n)
|
||||
if r is not None:
|
||||
results.append((ax, r[0], r[1], r[2]))
|
||||
if not results:
|
||||
return None
|
||||
offenders = [r for r in results if r[3]]
|
||||
ax, pre, spread, _ = max(offenders or results, key=lambda r: abs(r[1]))
|
||||
return {"offset": bool(offenders), "axis": ax,
|
||||
"pre": round(pre, 6), "spread": round(spread, 6)}
|
||||
|
||||
|
||||
def shape_from_h5(path) -> dict | None:
|
||||
import h5py
|
||||
try:
|
||||
@@ -110,18 +56,3 @@ def shape_from_h5(path) -> dict | None:
|
||||
except Exception:
|
||||
return None
|
||||
return shape_from_samples(chans)
|
||||
|
||||
|
||||
def offset_from_h5(path) -> dict | None:
|
||||
"""offset_from_samples fed from an event's .h5 (float32 in/s geo samples +
|
||||
the pretrig_samples attribute)."""
|
||||
import h5py
|
||||
try:
|
||||
with h5py.File(path, "r") as f:
|
||||
chans = {ax: f[f"samples/{ax}"][:] for ax in _GEO_CHANNELS
|
||||
if f"samples/{ax}" in f}
|
||||
pretrig_n = f.attrs.get("pretrig_samples")
|
||||
except Exception:
|
||||
return None
|
||||
pretrig_n = int(pretrig_n) if pretrig_n is not None else 0
|
||||
return offset_from_samples(chans, pretrig_n)
|
||||
|
||||
+13
-99
@@ -32,7 +32,6 @@ from __future__ import annotations
|
||||
import datetime
|
||||
import logging
|
||||
import pickle
|
||||
import re
|
||||
import shutil
|
||||
from pathlib import Path
|
||||
from typing import Optional, Union
|
||||
@@ -42,7 +41,7 @@ from minimateplus.blastware_file import blastware_filename, write_blastware_file
|
||||
from minimateplus.framing import S3Frame
|
||||
from minimateplus.models import Event
|
||||
from sfm import event_hdf5
|
||||
from sfm.shape_metrics import shape_from_h5, offset_from_h5
|
||||
from sfm.shape_metrics import shape_from_h5
|
||||
|
||||
log = logging.getLogger("sfm.waveform_store")
|
||||
|
||||
@@ -271,13 +270,6 @@ class WaveformStore:
|
||||
"shape_sample_count": _shape["sample_count"],
|
||||
"shape_axis": _shape["axis"],
|
||||
} if _shape else {}
|
||||
_offset = offset_from_h5(hdf5_path) if hdf5_filename else None
|
||||
_offset_rec = {
|
||||
"shape_offset": 1 if _offset["offset"] else 0,
|
||||
"shape_offset_axis": _offset["axis"],
|
||||
"shape_offset_pre": _offset["pre"],
|
||||
"shape_offset_spread": _offset["spread"],
|
||||
} if _offset else {}
|
||||
return {
|
||||
"filename": filename,
|
||||
"filesize": filesize,
|
||||
@@ -286,7 +278,6 @@ class WaveformStore:
|
||||
"hdf5_filename": hdf5_filename,
|
||||
"sidecar_filename": sidecar_path.name,
|
||||
**_shape_rec,
|
||||
**_offset_rec,
|
||||
}
|
||||
|
||||
def save_imported_bw(
|
||||
@@ -380,16 +371,8 @@ class WaveformStore:
|
||||
|
||||
# Resolve serial. blastware_filename derives a 4-char prefix from
|
||||
# the numeric serial (e.g. BE11529 → M529); we go the other way
|
||||
# if a hint wasn't given. The filename carries only the NUMBER,
|
||||
# so read the family prefix out of the body first — a BlastMate
|
||||
# ("BA") filed as "BE" is a unit that does not exist. The
|
||||
# filename-only decoder stays as the last resort.
|
||||
serial = (
|
||||
serial_hint
|
||||
or _serial_from_bw_bytes(bw_bytes, source_path.name)
|
||||
or _serial_from_bw_filename(source_path.name)
|
||||
or "UNKNOWN"
|
||||
)
|
||||
# via the source filename if a hint wasn't given.
|
||||
serial = serial_hint or _serial_from_bw_filename(source_path.name) or "UNKNOWN"
|
||||
|
||||
# Use the source filename verbatim — it already encodes timestamp
|
||||
# + record type per BW's AB0T scheme, and we want to preserve it
|
||||
@@ -478,13 +461,6 @@ class WaveformStore:
|
||||
"shape_sample_count": _shape["sample_count"],
|
||||
"shape_axis": _shape["axis"],
|
||||
} if _shape else {}
|
||||
_offset = offset_from_h5(hdf5_path) if hdf5_filename else None
|
||||
_offset_rec = {
|
||||
"shape_offset": 1 if _offset["offset"] else 0,
|
||||
"shape_offset_axis": _offset["axis"],
|
||||
"shape_offset_pre": _offset["pre"],
|
||||
"shape_offset_spread": _offset["spread"],
|
||||
} if _offset else {}
|
||||
return ev, {
|
||||
"filename": filename,
|
||||
"filesize": filesize,
|
||||
@@ -494,7 +470,6 @@ class WaveformStore:
|
||||
"sidecar_filename": sidecar_path.name,
|
||||
"serial": serial,
|
||||
**_shape_rec,
|
||||
**_offset_rec,
|
||||
}
|
||||
|
||||
def save_imported_idf(
|
||||
@@ -595,19 +570,8 @@ class WaveformStore:
|
||||
)
|
||||
|
||||
# Binary-derived peaks fill in when the .txt didn't supply them.
|
||||
#
|
||||
# The old justification for this precedence -- "binary peaks are ~3%
|
||||
# low vs the .txt" -- was a decoder bug (geo LSB 0.0003 instead of
|
||||
# 0.000310308) and was fixed 2026-09-10; the binary now agrees with
|
||||
# Thor's own export per-sample. The .txt still wins when present
|
||||
# because it is what the operator sees in Thor's report.
|
||||
#
|
||||
# ⚠ One case where the .txt is the *less* accurate of the two:
|
||||
# Thor floors displayed histogram PPV at 0.0050 in/s, so on quiet
|
||||
# IDFH events the .txt reports 0.0050 while the binary decodes the
|
||||
# true ~0.0025. 41.4% of prod IDFH sidecars carry a component PPV
|
||||
# larger than their own vector sum because of it. Left as-is
|
||||
# deliberately, so stored peaks keep matching Thor's report.
|
||||
# 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
|
||||
@@ -787,13 +751,6 @@ class WaveformStore:
|
||||
"shape_sample_count": _shape["sample_count"],
|
||||
"shape_axis": _shape["axis"],
|
||||
} if _shape else {}
|
||||
_offset = offset_from_h5(hdf5_path) if hdf5_filename else None
|
||||
_offset_rec = {
|
||||
"shape_offset": 1 if _offset["offset"] else 0,
|
||||
"shape_offset_axis": _offset["axis"],
|
||||
"shape_offset_pre": _offset["pre"],
|
||||
"shape_offset_spread": _offset["spread"],
|
||||
} if _offset else {}
|
||||
return ev, {
|
||||
"filename": filename,
|
||||
"filesize": filesize,
|
||||
@@ -803,7 +760,6 @@ class WaveformStore:
|
||||
"sidecar_filename": sidecar_path.name,
|
||||
"serial": serial,
|
||||
**_shape_rec,
|
||||
**_offset_rec,
|
||||
}
|
||||
|
||||
def load_a5(self, serial: str, filename: str) -> Optional[list[S3Frame]]:
|
||||
@@ -860,24 +816,20 @@ class WaveformStore:
|
||||
|
||||
# ── helpers ─────────────────────────────────────────────────────────────────────
|
||||
|
||||
def _serial_number_from_bw_filename(name: str) -> Optional[int]:
|
||||
def _serial_from_bw_filename(name: str) -> Optional[str]:
|
||||
"""
|
||||
Reverse of `blastware_filename`'s serial-prefix encoding — the NUMBER only.
|
||||
Reverse of `blastware_filename`'s serial-prefix encoding.
|
||||
|
||||
BW filename format (V10.72): `<P><serial3><stem4>.<ext>`
|
||||
where P = chr(ord('B') + floor(serial // 1000))
|
||||
and serial3 = f"{serial % 1000:03d}".
|
||||
|
||||
Examples (from CLAUDE.md verification archive):
|
||||
P036... → 14036 H907... → 6907
|
||||
M529... → 11529 T003... → 18003
|
||||
L895... → 10895
|
||||
P036... → BE14036 H907... → BE6907
|
||||
M529... → BE11529 T003... → BE18003
|
||||
|
||||
⚠ The filename encodes **only the number**. The two-letter family
|
||||
prefix is NOT in it — "BE" is a MiniMate Plus, "BA" a BlastMate — so
|
||||
the prefix has to come from the file body (`_serial_from_bw_bytes`)
|
||||
or from an explicit hint. Returns None when the filename doesn't
|
||||
match the expected pattern.
|
||||
Returns the inferred BE-prefix serial (e.g. "BE11529") or None when
|
||||
the filename doesn't match the expected pattern.
|
||||
"""
|
||||
if not name:
|
||||
return None
|
||||
@@ -890,43 +842,5 @@ def _serial_number_from_bw_filename(name: str) -> Optional[int]:
|
||||
if prefix_letter < "B":
|
||||
return None
|
||||
thousands = ord(prefix_letter) - ord("B")
|
||||
return thousands * 1000 + int(base[1:4])
|
||||
|
||||
|
||||
_BW_SERIAL_RE = re.compile(rb"[A-Z]{2}\d{3,6}")
|
||||
|
||||
|
||||
def _serial_from_bw_bytes(data: bytes, name: str) -> Optional[str]:
|
||||
"""
|
||||
Read the real serial — prefix included — out of a BW file body.
|
||||
|
||||
The body carries the serial as a plain ASCII string ("BE9558",
|
||||
"BA10895"). We accept a candidate only when its numeric part matches
|
||||
the number the filename encodes, which keeps a stray byte sequence in
|
||||
the sample stream from being mistaken for a serial.
|
||||
|
||||
Returns None when the filename number can't be derived or no
|
||||
candidate in the body agrees with it — the caller then falls back.
|
||||
"""
|
||||
num = _serial_number_from_bw_filename(name)
|
||||
if num is None or not data:
|
||||
return None
|
||||
for match in _BW_SERIAL_RE.findall(data):
|
||||
candidate = match.decode("ascii", errors="replace")
|
||||
if candidate[2:].lstrip("0") == str(num):
|
||||
return candidate
|
||||
return None
|
||||
|
||||
|
||||
def _serial_from_bw_filename(name: str) -> Optional[str]:
|
||||
"""
|
||||
Best-effort serial from the filename alone.
|
||||
|
||||
⚠ The family prefix is a **guess** — the filename does not carry it.
|
||||
"BE" is right for every MiniMate Plus but wrong for a BlastMate, whose
|
||||
serials start "BA". Prefer `_serial_from_bw_bytes` whenever the file
|
||||
body is at hand; this exists for callers that only have a name
|
||||
(log lines, dry-run output).
|
||||
"""
|
||||
num = _serial_number_from_bw_filename(name)
|
||||
return None if num is None else f"BE{num}"
|
||||
serial_num = thousands * 1000 + int(base[1:4])
|
||||
return f"BE{serial_num}"
|
||||
|
||||
@@ -1,103 +0,0 @@
|
||||
import sqlite3
|
||||
|
||||
from sfm.database import SeismoDb
|
||||
from minimateplus.models import Event, Timestamp
|
||||
|
||||
|
||||
def _ev(db, key="0111aaaa", serial="BE1"):
|
||||
ev = Event(index=0)
|
||||
ev._waveform_key = bytes.fromhex(key)
|
||||
ev.timestamp = Timestamp(raw=b"", flag=0x10, year=2026, unknown_byte=0,
|
||||
month=6, day=25, hour=8, minute=0, second=0)
|
||||
ev.record_type = "Waveform"
|
||||
db.insert_events([ev], serial=serial)
|
||||
return [r for r in db.query_events(serial=serial) if r["waveform_key"] == key][0]["id"]
|
||||
|
||||
|
||||
def test_flag_offset_reason_implies_ft(tmp_path):
|
||||
db = SeismoDb(tmp_path / "s.db")
|
||||
eid = _ev(db)
|
||||
db.update_event_review(eid, {"false_trigger_reason": "offset"})
|
||||
row = db.get_event(eid)
|
||||
assert row["false_trigger"] == 1 # a reason is a subtype of FT
|
||||
assert row["false_trigger_reason"] == "offset"
|
||||
assert row["reviewed_real"] == 0
|
||||
|
||||
|
||||
def test_plain_ft_leaves_reason_null(tmp_path):
|
||||
# Reason is OPTIONAL — flagging FT without one records no reason.
|
||||
db = SeismoDb(tmp_path / "s.db")
|
||||
eid = _ev(db)
|
||||
db.update_event_review(eid, {"false_trigger": True})
|
||||
row = db.get_event(eid)
|
||||
assert row["false_trigger"] == 1
|
||||
assert row["false_trigger_reason"] is None
|
||||
|
||||
|
||||
def test_confirm_real_clears_reason(tmp_path):
|
||||
db = SeismoDb(tmp_path / "s.db")
|
||||
eid = _ev(db)
|
||||
db.update_event_review(eid, {"false_trigger_reason": "offset"})
|
||||
db.update_event_review(eid, {"reviewed_real": True})
|
||||
row = db.get_event(eid)
|
||||
assert row["reviewed_real"] == 1
|
||||
assert row["false_trigger"] == 0
|
||||
assert row["false_trigger_reason"] is None
|
||||
|
||||
|
||||
def test_clear_ft_clears_reason(tmp_path):
|
||||
db = SeismoDb(tmp_path / "s.db")
|
||||
eid = _ev(db)
|
||||
db.update_event_review(eid, {"false_trigger_reason": "offset"})
|
||||
db.update_event_review(eid, {"false_trigger": False})
|
||||
row = db.get_event(eid)
|
||||
assert row["false_trigger"] == 0
|
||||
assert row["false_trigger_reason"] is None
|
||||
|
||||
|
||||
def test_set_false_trigger_false_clears_reason(tmp_path):
|
||||
db = SeismoDb(tmp_path / "s.db")
|
||||
eid = _ev(db)
|
||||
db.update_event_review(eid, {"false_trigger_reason": "offset"})
|
||||
assert db.set_false_trigger(eid, False) is True
|
||||
row = db.get_event(eid)
|
||||
assert row["false_trigger"] == 0
|
||||
assert row["false_trigger_reason"] is None
|
||||
|
||||
|
||||
def test_reason_can_be_cleared_without_clearing_ft(tmp_path):
|
||||
# Setting reason to None removes the reason but leaves the FT flag intact.
|
||||
db = SeismoDb(tmp_path / "s.db")
|
||||
eid = _ev(db)
|
||||
db.update_event_review(eid, {"false_trigger_reason": "offset"})
|
||||
db.update_event_review(eid, {"false_trigger_reason": None})
|
||||
row = db.get_event(eid)
|
||||
assert row["false_trigger"] == 1
|
||||
assert row["false_trigger_reason"] is None
|
||||
|
||||
|
||||
def _ts(h, m, d=25):
|
||||
return Timestamp(raw=b"", flag=0x10, year=2026, unknown_byte=0,
|
||||
month=2, day=d, hour=h, minute=m, second=0)
|
||||
|
||||
|
||||
def test_offset_reason_propagates_to_twin(tmp_path):
|
||||
# Flag a waveform as offset → its histogram twin also becomes FT with reason=offset.
|
||||
db = SeismoDb(tmp_path / "s.db")
|
||||
|
||||
def ins(key, ts, rt):
|
||||
ev = Event(index=0); ev._waveform_key = bytes.fromhex(key); ev.timestamp = ts
|
||||
db.insert_events([ev], serial="BE1")
|
||||
rid = [r for r in db.query_events(serial="BE1") if r["waveform_key"] == key][0]["id"]
|
||||
with sqlite3.connect(db.db_path) as c:
|
||||
c.execute("UPDATE events SET peak_vector_sum=0.4763, record_type=? WHERE id=?", (rt, rid))
|
||||
return rid
|
||||
|
||||
hist = ins("01110001", _ts(19, 31), "Histogram") # interval start
|
||||
wave = ins("01110002", _ts(20, 46), "Waveform") # trigger inside the interval
|
||||
|
||||
db.update_event_review(wave, {"false_trigger_reason": "offset"})
|
||||
db.propagate_review_to_twins(wave)
|
||||
row = db.get_event(hist)
|
||||
assert row["false_trigger"] == 1
|
||||
assert row["false_trigger_reason"] == "offset"
|
||||
@@ -1,322 +0,0 @@
|
||||
"""Per-sample verification of the Thor / Micromate (series-4) IDF binary codec.
|
||||
|
||||
Ground truth is Thor's own CSV export, written next to each binary by the
|
||||
Thor desktop application. For waveforms the export carries a per-sample
|
||||
block of four columns (Tran, Vert, Long, Mic) in in/s and psi -- the
|
||||
series-4 equivalent of Blastware's ``_ASCII.TXT`` exports.
|
||||
|
||||
The full-corpus harness is ``scratch/verify_thor_against_csv.py``; these
|
||||
tests pin the two constants that harness established so they cannot
|
||||
regress silently.
|
||||
"""
|
||||
from __future__ import annotations
|
||||
|
||||
import csv
|
||||
import os
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
|
||||
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
||||
|
||||
from micromate.idf_file import (
|
||||
_GEO_LSB_IPS,
|
||||
geo_count_to_ips,
|
||||
read_idf_file,
|
||||
)
|
||||
|
||||
FIXTURES = Path(__file__).parent / "fixtures" / "thor-idf"
|
||||
IDFW = FIXTURES / "UM11719_20231219162723.IDFW"
|
||||
IDFH = FIXTURES / "UM11719_20231219162648.IDFH"
|
||||
|
||||
GEO_CHANNELS = ("Tran", "Vert", "Long")
|
||||
|
||||
# tests/fixtures/ is gitignored, so a fresh checkout has no sample data.
|
||||
# Skip rather than fail, matching test_idf_ascii_report.py. To populate:
|
||||
#
|
||||
# B="<thor-watcher>/example-data/THORDATA_example/THORDATA_example/UPMC Presby"
|
||||
# mkdir -p tests/fixtures/thor-idf
|
||||
# for f in UM11719/UM11719_20231219162723.IDFW \
|
||||
# UM11719/UM11719_20231219162648.IDFH \
|
||||
# UM13981/UM13981_20220207084555.IDFW \
|
||||
# UM13981/UM13981_20220207183102.IDFH \
|
||||
# UM13981/UM13981_20221202063059.IDFH; do
|
||||
# cp "$B/$f" tests/fixtures/thor-idf/
|
||||
# cp "$B/$(dirname $f)/CSV/$(basename $f).csv" tests/fixtures/thor-idf/
|
||||
# done
|
||||
pytestmark = pytest.mark.skipif(
|
||||
not FIXTURES.is_dir() or not any(FIXTURES.glob("*.IDFW")),
|
||||
reason=f"Thor IDF fixtures not present under {FIXTURES}",
|
||||
)
|
||||
|
||||
|
||||
def _parse_export(path: Path):
|
||||
"""Split a Thor CSV export into (header dict, per-sample rows)."""
|
||||
header, rows = {}, []
|
||||
with path.open(newline="", encoding="utf-8", errors="replace") as fh:
|
||||
for rec in csv.reader(fh):
|
||||
if len(rec) == 2:
|
||||
header[rec[0].strip()] = rec[1].strip()
|
||||
elif len(rec) >= 3:
|
||||
try:
|
||||
rows.append([float(x) for x in rec])
|
||||
except ValueError:
|
||||
pass
|
||||
return header, rows
|
||||
|
||||
|
||||
def _header_float(header, key):
|
||||
return float(header[key].split()[0])
|
||||
|
||||
|
||||
@pytest.fixture(scope="module")
|
||||
def idfw_export():
|
||||
return _parse_export(IDFW.with_suffix(".IDFW.csv"))
|
||||
|
||||
|
||||
# ─── The geo scale constant ────────────────────────────────────────────────
|
||||
|
||||
|
||||
def test_geo_lsb_matches_thor_quantisation():
|
||||
"""Thor's own export quantises geo samples to this LSB.
|
||||
|
||||
Derived by maximising exact-match count over 1,046,016 paired samples
|
||||
(454 channel-events, 2 units); independently corroborated on 8
|
||||
production units via their device-reported PPV. The historical value
|
||||
0.0003 read every series-4 geophone sample 3.3% low.
|
||||
"""
|
||||
assert _GEO_LSB_IPS == pytest.approx(0.000310308, rel=1e-6)
|
||||
|
||||
|
||||
def test_geo_lsb_is_not_the_legacy_value():
|
||||
# Guards against a revert to the truncated 0.0003 constant.
|
||||
assert abs(_GEO_LSB_IPS - 0.0003) > 1e-6
|
||||
|
||||
|
||||
# ─── Per-sample fidelity ───────────────────────────────────────────────────
|
||||
|
||||
|
||||
def test_waveform_channel_lengths_match_export(idfw_export):
|
||||
_header, rows = idfw_export
|
||||
result = read_idf_file(IDFW)
|
||||
for channel in GEO_CHANNELS:
|
||||
assert len(result.samples[channel]) == len(rows), (
|
||||
f"{channel} truncated: decoded {len(result.samples[channel])} "
|
||||
f"samples, export has {len(rows)}"
|
||||
)
|
||||
|
||||
|
||||
def test_waveform_samples_match_export_exactly(idfw_export):
|
||||
"""Every geo sample must reproduce Thor's exported value to 4 dp."""
|
||||
_header, rows = idfw_export
|
||||
result = read_idf_file(IDFW)
|
||||
for index, channel in enumerate(GEO_CHANNELS):
|
||||
decoded = result.samples[channel]
|
||||
expected = [row[index] for row in rows]
|
||||
mismatches = [
|
||||
(i, geo_count_to_ips(c), v)
|
||||
for i, (c, v) in enumerate(zip(decoded, expected))
|
||||
if abs(geo_count_to_ips(c) - v) >= 5e-5
|
||||
]
|
||||
assert not mismatches, (
|
||||
f"{channel}: {len(mismatches)} of {len(expected)} samples differ; "
|
||||
f"first three {mismatches[:3]}"
|
||||
)
|
||||
|
||||
|
||||
def test_waveform_ppv_matches_export(idfw_export):
|
||||
header, _rows = idfw_export
|
||||
result = read_idf_file(IDFW)
|
||||
for channel, attr in (
|
||||
("Tran", "transverse_ips"),
|
||||
("Vert", "vertical_ips"),
|
||||
("Long", "longitudinal_ips"),
|
||||
):
|
||||
decoded = getattr(result.event.peaks, attr)
|
||||
assert decoded == pytest.approx(
|
||||
_header_float(header, f"{channel}PPV"), abs=5e-5
|
||||
), f"{channel} PPV disagrees with Thor's export"
|
||||
|
||||
|
||||
# ─── Histogram path shares the same scale ──────────────────────────────────
|
||||
|
||||
|
||||
def test_histogram_peaks_match_export():
|
||||
header, _rows = _parse_export(IDFH.with_suffix(".IDFH.csv"))
|
||||
result = read_idf_file(IDFH)
|
||||
assert result.intervals, "IDFH decoded no intervals"
|
||||
for channel, attr in (
|
||||
("Tran", "transverse_ips"),
|
||||
("Vert", "vertical_ips"),
|
||||
("Long", "longitudinal_ips"),
|
||||
):
|
||||
decoded = getattr(result.event.peaks, attr)
|
||||
expected = _header_float(header, f"{channel}PPV")
|
||||
# Histogram peaks are stored per-interval, so the export's PPV is
|
||||
# reproduced within one quantisation step rather than exactly.
|
||||
assert decoded == pytest.approx(expected, abs=2 * _GEO_LSB_IPS), (
|
||||
f"{channel} histogram peak {decoded} vs export {expected}"
|
||||
)
|
||||
|
||||
|
||||
# ─── Regressions found 2026-09-10 ──────────────────────────────────────────
|
||||
|
||||
IDFH_LONG = FIXTURES / "UM13981_20220207183102.IDFH" # 719 intervals
|
||||
IDFH_SENTINEL = FIXTURES / "UM13981_20221202063059.IDFH" # holds an unwritten slot
|
||||
IDFW_RAW16 = FIXTURES / "UM13981_20220207084555.IDFW" # segment 0 is MODE_RAW16
|
||||
|
||||
|
||||
def test_histogram_decodes_past_250_intervals():
|
||||
"""The segment validator must not require a zero counter high byte.
|
||||
|
||||
The interval counter is a uint16 cumulative index. Requiring its high
|
||||
byte to be zero rejected every segment past interval 255, capping each
|
||||
histogram at 250 intervals and truncating any run longer than ~4 hours —
|
||||
frequently discarding the part that held the peak.
|
||||
"""
|
||||
result = read_idf_file(IDFH_LONG)
|
||||
header, _rows = _parse_export(IDFH_LONG.with_suffix(".IDFH.csv"))
|
||||
expected = float(header["NumberOfIntervals"])
|
||||
assert len(result.intervals) == 719
|
||||
assert len(result.intervals) == pytest.approx(expected, abs=1.0)
|
||||
|
||||
|
||||
def test_histogram_ignores_unwritten_interval_slot():
|
||||
"""A never-written interval keeps its ±full-scale seed and must be dropped.
|
||||
|
||||
Counting it fabricates a 10.0 in/s peak on every channel, which then wins
|
||||
the max-over-intervals and poisons the whole file's PPV.
|
||||
"""
|
||||
header, _rows = _parse_export(IDFH_SENTINEL.with_suffix(".IDFH.csv"))
|
||||
result = read_idf_file(IDFH_SENTINEL)
|
||||
for channel, attr in (
|
||||
("Tran", "transverse_ips"),
|
||||
("Vert", "vertical_ips"),
|
||||
("Long", "longitudinal_ips"),
|
||||
):
|
||||
decoded = getattr(result.event.peaks, attr)
|
||||
assert decoded < 1.0, f"{channel} peak {decoded} looks like the ±FS seed"
|
||||
assert decoded == pytest.approx(
|
||||
_header_float(header, f"{channel}PPV"), abs=2 * _GEO_LSB_IPS
|
||||
)
|
||||
|
||||
|
||||
def test_waveform_raw16_segment_zero_is_decoded():
|
||||
"""Segment-0 records can be raw int16 (MODE_RAW16, 10-byte header).
|
||||
|
||||
That mode was absent from the dispatch, so the record fell through
|
||||
unhandled and the channel silently lost its first 512 samples.
|
||||
"""
|
||||
rows = _parse_export(IDFW_RAW16.with_suffix(".IDFW.csv"))[1]
|
||||
result = read_idf_file(IDFW_RAW16)
|
||||
for index, channel in enumerate(GEO_CHANNELS):
|
||||
decoded = result.samples[channel]
|
||||
assert len(decoded) == len(rows), f"{channel} lost segment 0"
|
||||
expected = [row[index] for row in rows]
|
||||
bad = sum(
|
||||
1 for c, v in zip(decoded, expected)
|
||||
if abs(geo_count_to_ips(c) - v) >= 5e-5
|
||||
)
|
||||
assert bad == 0, f"{channel}: {bad} samples differ from Thor's export"
|
||||
|
||||
|
||||
def test_body_offset_search_is_not_quadratic():
|
||||
"""The body scan must stay cheap enough for bulk ingest.
|
||||
|
||||
MODE_RAW16 is (0x00, 0x00), so scanning for candidate *preambles* treats
|
||||
every run of three zero bytes as a body start and trial-decodes each one
|
||||
(~0.5 s/file measured). The search anchors on record headers instead.
|
||||
"""
|
||||
import time
|
||||
|
||||
start = time.perf_counter()
|
||||
for _ in range(3):
|
||||
read_idf_file(IDFW_RAW16)
|
||||
elapsed = (time.perf_counter() - start) / 3
|
||||
assert elapsed < 0.15, f"body-offset search took {elapsed*1000:.0f} ms/file"
|
||||
|
||||
|
||||
# ─── Mic-disabled (3-channel) units, found 2026-09-10 ──────────────────────
|
||||
|
||||
IDFW_3CH = FIXTURES / "UM20147_20250531135901.IDFW" # body head below old floor
|
||||
IDFH_3CH = FIXTURES / "UM20147_20250330070110.IDFH" # 56-byte interval records
|
||||
|
||||
|
||||
def test_three_channel_waveform_decodes_all_geo_channels():
|
||||
"""A mic-disabled unit's shorter header moves the record chain head.
|
||||
|
||||
Its head sits at 0x0dba, below the old ``_BODY_SCAN_FLOOR`` of 0x0E00, so
|
||||
the scan could not see it and fell through to the *Vert* segment-0 record
|
||||
— decoding a body shifted one position around the channel rotation, which
|
||||
surfaced as Vert being exactly 512 samples short.
|
||||
"""
|
||||
rows = _parse_export(IDFW_3CH.with_suffix(".IDFW.csv"))[1]
|
||||
result = read_idf_file(IDFW_3CH)
|
||||
for index, channel in enumerate(GEO_CHANNELS):
|
||||
decoded = result.samples[channel]
|
||||
assert len(decoded) == len(rows), (
|
||||
f"{channel}: {len(decoded)} samples, export has {len(rows)}"
|
||||
)
|
||||
expected = [row[index] for row in rows]
|
||||
bad = sum(
|
||||
1 for c, v in zip(decoded, expected)
|
||||
if abs(geo_count_to_ips(c) - v) >= 5e-5
|
||||
)
|
||||
assert bad == 0, f"{channel}: {bad} samples differ from Thor's export"
|
||||
# Mic is genuinely absent on these units, not merely undecoded.
|
||||
assert not result.samples.get("MicL")
|
||||
|
||||
|
||||
def test_three_channel_histogram_uses_56_byte_intervals():
|
||||
"""Interval stride is 16 bytes per channel + an 8-byte tail, not a constant.
|
||||
|
||||
A mic-disabled unit packs 56-byte records, so assuming 72 read 7 intervals
|
||||
out of every 10-interval segment and then walked off alignment into
|
||||
garbage, which decoded as ~10 in/s peaks. The true count comes from the
|
||||
segment's cumulative interval counter.
|
||||
"""
|
||||
header, _rows = _parse_export(IDFH_3CH.with_suffix(".IDFH.csv"))
|
||||
result = read_idf_file(IDFH_3CH)
|
||||
expected_intervals = float(header["NumberOfIntervals"])
|
||||
assert len(result.intervals) == pytest.approx(expected_intervals, abs=1.0)
|
||||
assert {iv.n_channels for iv in result.intervals} == {3}
|
||||
for channel, attr in (
|
||||
("Tran", "transverse_ips"),
|
||||
("Vert", "vertical_ips"),
|
||||
("Long", "longitudinal_ips"),
|
||||
):
|
||||
decoded = getattr(result.event.peaks, attr)
|
||||
assert decoded < 1.0, f"{channel} peak {decoded} looks like walked-off garbage"
|
||||
assert decoded == pytest.approx(
|
||||
_header_float(header, f"{channel}PPV"), rel=0.02
|
||||
)
|
||||
|
||||
|
||||
# ─── `40 NN` blocks with NN > 8, verified 2026-09-11 ───────────────────────
|
||||
|
||||
IDFW_WIDE40 = FIXTURES / "UM12947_20250806134504.IDFW"
|
||||
|
||||
|
||||
def test_wide_forty_nn_block_does_not_truncate_channels():
|
||||
"""Loud events use `40 NN` blocks with NN well above the old cap of 8.
|
||||
|
||||
``data_block_len()`` rejected NN > 0x08, which halted the block walk
|
||||
part-way through a record. The walker stops at the first unrecognised
|
||||
tag instead of raising, so this surfaced as silently short channels —
|
||||
here Tran 1812 / Vert 2132 / Long 2324 where the export has 2324 for all
|
||||
three. The affected files use NN of 12, 16, 20 ... up to 196.
|
||||
"""
|
||||
rows = _parse_export(IDFW_WIDE40.with_suffix(".IDFW.csv"))[1]
|
||||
result = read_idf_file(IDFW_WIDE40)
|
||||
for index, channel in enumerate(GEO_CHANNELS):
|
||||
decoded = result.samples[channel]
|
||||
assert len(decoded) == len(rows), (
|
||||
f"{channel}: {len(decoded)} samples, export has {len(rows)}"
|
||||
)
|
||||
expected = [row[index] for row in rows]
|
||||
bad = sum(
|
||||
1 for c, v in zip(decoded, expected)
|
||||
if abs(geo_count_to_ips(c) - v) >= 5e-5
|
||||
)
|
||||
assert bad == 0, f"{channel}: {bad} samples differ from Thor's export"
|
||||
@@ -1,94 +0,0 @@
|
||||
import numpy as np
|
||||
import h5py
|
||||
from sfm.shape_metrics import offset_from_samples, offset_from_h5
|
||||
|
||||
|
||||
def test_flags_constant_dc_floor():
|
||||
# A geophone channel sitting at a constant +0.05 in/s across the whole record
|
||||
# is a DC offset: baseline off zero AND flat across pre/mid/end thirds.
|
||||
n = 300
|
||||
chans = {"Tran": np.full(n, 0.05), "Vert": np.zeros(n), "Long": np.zeros(n)}
|
||||
r = offset_from_samples(chans, pretrig_n=50)
|
||||
assert r["offset"] is True
|
||||
assert r["axis"] == "Tran"
|
||||
assert abs(r["pre"] - 0.05) < 1e-6
|
||||
assert r["spread"] < 0.02
|
||||
|
||||
|
||||
def test_transient_rejected_by_spread():
|
||||
# Off-zero pre-trigger but the baseline SETTLES back over the record — a
|
||||
# transient, not a constant offset. The spread test must reject it.
|
||||
x = np.concatenate([np.full(100, 0.05), np.full(100, 0.025), np.zeros(100)])
|
||||
chans = {"Tran": x, "Vert": np.zeros(300), "Long": np.zeros(300)}
|
||||
r = offset_from_samples(chans, pretrig_n=100)
|
||||
assert r["offset"] is False
|
||||
|
||||
|
||||
def test_clean_oscillation_not_offset():
|
||||
t = np.arange(300)
|
||||
x = 0.4 * np.sin(2 * np.pi * t / 20) # oscillates around zero — baseline IS zero
|
||||
chans = {"Tran": x, "Vert": np.zeros(300), "Long": np.zeros(300)}
|
||||
r = offset_from_samples(chans, pretrig_n=50)
|
||||
assert r["offset"] is False
|
||||
|
||||
|
||||
def test_below_floor_not_offset_but_reports_pre():
|
||||
# A flat baseline below the floor is not an offset; still report the axis/pre
|
||||
# for tuning transparency.
|
||||
n = 300
|
||||
chans = {"Tran": np.full(n, 0.01), "Vert": np.zeros(n), "Long": np.zeros(n)}
|
||||
r = offset_from_samples(chans, pretrig_n=50)
|
||||
assert r["offset"] is False
|
||||
assert r["axis"] == "Tran"
|
||||
assert abs(r["pre"] - 0.01) < 1e-6
|
||||
|
||||
|
||||
def test_none_when_no_geo_channels():
|
||||
assert offset_from_samples({"MicL": np.full(300, 0.05)}, pretrig_n=50) is None
|
||||
|
||||
|
||||
def test_pretrig_fallback_when_invalid():
|
||||
# pretrig_n of 0 (missing/unusable) falls back to the first third.
|
||||
n = 300
|
||||
chans = {"Tran": np.full(n, 0.05), "Vert": np.zeros(n), "Long": np.zeros(n)}
|
||||
r = offset_from_samples(chans, pretrig_n=0)
|
||||
assert r["offset"] is True
|
||||
|
||||
|
||||
def test_flags_offset_on_any_axis():
|
||||
# Offset on Vert alone still flags the event, and Vert is reported.
|
||||
n = 300
|
||||
chans = {"Tran": np.zeros(n), "Vert": np.full(n, -0.06), "Long": np.zeros(n)}
|
||||
r = offset_from_samples(chans, pretrig_n=50)
|
||||
assert r["offset"] is True
|
||||
assert r["axis"] == "Vert"
|
||||
|
||||
|
||||
def _write_h5(path, chans, pretrig_n):
|
||||
with h5py.File(path, "w") as f:
|
||||
g = f.create_group("samples")
|
||||
for k, v in chans.items():
|
||||
g.create_dataset(k, data=np.asarray(v, dtype="float32"))
|
||||
if pretrig_n is not None:
|
||||
f.attrs["pretrig_samples"] = pretrig_n
|
||||
|
||||
|
||||
def test_offset_from_h5_reads_pretrig_attr(tmp_path):
|
||||
p = tmp_path / "ev.h5"
|
||||
n = 300
|
||||
_write_h5(p, {"Tran": np.full(n, 0.05), "Vert": np.zeros(n), "Long": np.zeros(n)},
|
||||
pretrig_n=50)
|
||||
r = offset_from_h5(str(p))
|
||||
assert r["offset"] is True and r["axis"] == "Tran"
|
||||
|
||||
|
||||
def test_offset_from_h5_missing_pretrig_attr_falls_back(tmp_path):
|
||||
p = tmp_path / "noattr.h5"
|
||||
n = 300
|
||||
_write_h5(p, {"Tran": np.full(n, 0.05), "Vert": np.zeros(n), "Long": np.zeros(n)},
|
||||
pretrig_n=None)
|
||||
assert offset_from_h5(str(p))["offset"] is True # falls back to first-third
|
||||
|
||||
|
||||
def test_offset_from_h5_missing_file_is_none(tmp_path):
|
||||
assert offset_from_h5(str(tmp_path / "nope.h5")) is None
|
||||
@@ -1,64 +0,0 @@
|
||||
from __future__ import annotations
|
||||
from pathlib import Path
|
||||
|
||||
import numpy as np, h5py
|
||||
|
||||
from sfm.database import SeismoDb
|
||||
from sfm.waveform_store import WaveformStore
|
||||
from scripts.backfill_event_shape import backfill_shape
|
||||
from minimateplus.models import Event, Timestamp, PeakValues
|
||||
|
||||
_FIX = Path(__file__).parent / "fixtures/histogram-extension-re/events-5-21-26/K558LL8B.7I0W"
|
||||
|
||||
|
||||
def _event(waveform_key="0111abcd"):
|
||||
ev = Event(index=0)
|
||||
ev._waveform_key = bytes.fromhex(waveform_key)
|
||||
ev.timestamp = Timestamp(raw=b"", flag=0x10, year=2026, unknown_byte=0,
|
||||
month=6, day=25, hour=8, minute=50, second=0)
|
||||
ev.record_type = "Waveform"
|
||||
ev.peak_values = PeakValues(tran=0.075, vert=0.220, long=0.045,
|
||||
peak_vector_sum=0.231, micl=0.01)
|
||||
return ev
|
||||
|
||||
|
||||
def test_insert_stores_offset_from_record(tmp_path: Path):
|
||||
db = SeismoDb(tmp_path / "s.db")
|
||||
ev = _event()
|
||||
rec = {ev._waveform_key.hex(): {
|
||||
"filename": "F.CE0W", "filesize": 10,
|
||||
"shape_offset": 1, "shape_offset_axis": "Tran",
|
||||
"shape_offset_pre": 0.05, "shape_offset_spread": 0.001}}
|
||||
db.insert_events([ev], serial="BE1", waveform_records=rec)
|
||||
row = db.query_events(serial="BE1")[0]
|
||||
assert row["shape_offset"] == 1
|
||||
assert row["shape_offset_axis"] == "Tran"
|
||||
assert abs(row["shape_offset_pre"] - 0.05) < 1e-6
|
||||
assert abs(row["shape_offset_spread"] - 0.001) < 1e-6
|
||||
|
||||
|
||||
def test_save_imported_bw_attaches_offset(tmp_path: Path):
|
||||
store = WaveformStore(tmp_path / "waveforms")
|
||||
ev, rec = store.save_imported_bw(_FIX.read_bytes(), source_path=_FIX, serial_hint="BE9558")
|
||||
assert rec["shape_offset"] in (0, 1)
|
||||
assert rec["shape_offset_axis"] in ("Tran", "Vert", "Long")
|
||||
assert "shape_offset_pre" in rec and "shape_offset_spread" in rec
|
||||
|
||||
|
||||
def test_backfill_updates_offset(tmp_path: Path):
|
||||
db = SeismoDb(tmp_path / "s.db")
|
||||
store = WaveformStore(tmp_path / "waveforms")
|
||||
ev = Event(index=0); ev._waveform_key = bytes.fromhex("0111abcd")
|
||||
db.insert_events([ev], serial="BE1",
|
||||
waveform_records={ev._waveform_key.hex(): {"filename": "F.CE0W", "filesize": 10}})
|
||||
p = store.hdf5_path_for("BE1", "F.CE0W")
|
||||
with h5py.File(p, "w") as f:
|
||||
g = f.create_group("samples")
|
||||
g.create_dataset("Tran", data=np.full(300, 0.05, "float32"))
|
||||
g.create_dataset("Vert", data=np.zeros(300, "float32"))
|
||||
g.create_dataset("Long", data=np.zeros(300, "float32"))
|
||||
f.attrs["pretrig_samples"] = 50
|
||||
backfill_shape(db, store)
|
||||
row = db.query_events(serial="BE1")[0]
|
||||
assert row["shape_offset"] == 1
|
||||
assert row["shape_offset_axis"] == "Tran"
|
||||
@@ -1,61 +0,0 @@
|
||||
"""The event-report PDF must draw the three geo channels on ONE shared Y scale
|
||||
(max |sample| across Long/Vert/Tran, floored), not each trace auto-zoomed to its
|
||||
own peak — so relative amplitudes are honest and a small channel doesn't fill its
|
||||
lane looking as big as a large one. Mirrors the event-modal waveform behaviour.
|
||||
"""
|
||||
import matplotlib
|
||||
matplotlib.use("Agg")
|
||||
import matplotlib.pyplot as plt
|
||||
import pytest
|
||||
|
||||
from sfm.report_pdf import ReportData, _draw_waveform_subplot
|
||||
|
||||
|
||||
def _draw(channels):
|
||||
rd = ReportData(
|
||||
channels=channels,
|
||||
sample_rate_sps=1024,
|
||||
dt_ms=1000.0 / 1024,
|
||||
t0_ms=0.0,
|
||||
)
|
||||
fig = plt.figure()
|
||||
cell = fig.add_gridspec(1, 1)[0, 0]
|
||||
_draw_waveform_subplot(fig, cell, rd)
|
||||
by_label = {ax.get_ylabel(): ax for ax in fig.axes}
|
||||
try:
|
||||
yield_ = {k: by_label[k].get_ylim() for k in ("Long", "Vert", "Tran", "MicL")}
|
||||
finally:
|
||||
plt.close(fig)
|
||||
return yield_
|
||||
|
||||
|
||||
def test_geo_traces_share_one_y_scale():
|
||||
# Tran is the biggest geo channel (0.35); Long 0.10, Vert 0.02.
|
||||
ylims = _draw({
|
||||
"Long": [0.10, -0.10, 0.0],
|
||||
"Vert": [0.02, -0.02, 0.0],
|
||||
"Tran": [0.35, -0.35, 0.0],
|
||||
"MicL": [0.0005, -0.0005, 0.0],
|
||||
})
|
||||
# Shared scale = max(0.35 * 1.10, floor 0.05) = 0.385, symmetric.
|
||||
expected = pytest.approx(0.385, rel=1e-6)
|
||||
for ch in ("Long", "Vert", "Tran"):
|
||||
lo, hi = ylims[ch]
|
||||
assert hi == expected, f"{ch} top ylim {hi} != shared 0.385"
|
||||
assert lo == pytest.approx(-0.385, rel=1e-6), f"{ch} bottom ylim {lo}"
|
||||
# All three geo lanes identical.
|
||||
assert ylims["Long"] == ylims["Vert"] == ylims["Tran"]
|
||||
# Mic keeps its own (much smaller) scale — not lumped into the geo max.
|
||||
assert ylims["MicL"][1] < 0.01
|
||||
|
||||
|
||||
def test_geo_shared_scale_has_floor():
|
||||
# A tiny event (all geo well under the floor) clamps to the 0.05 floor.
|
||||
ylims = _draw({
|
||||
"Long": [0.008, -0.008, 0.0],
|
||||
"Vert": [0.006, -0.006, 0.0],
|
||||
"Tran": [0.010, -0.010, 0.0],
|
||||
"MicL": [0.0001, -0.0001, 0.0],
|
||||
})
|
||||
for ch in ("Long", "Vert", "Tran"):
|
||||
assert ylims[ch][1] == pytest.approx(0.05, rel=1e-6), f"{ch} not floored"
|
||||
@@ -1,101 +0,0 @@
|
||||
"""The BW filename encodes the serial NUMBER, never the family prefix.
|
||||
|
||||
"BE" is a MiniMate Plus; "BA" is a BlastMate. Both are Series III and their
|
||||
files are byte-compatible — the whole archive's 1,493 BlastMate binaries
|
||||
decode through the same codec at 100% — so the only thing that distinguishes
|
||||
them downstream is the serial string, and that lives in the file body.
|
||||
|
||||
Synthesising the prefix as "BE" files a BlastMate under a unit that does not
|
||||
exist. Four units in the DL2 archive are affected: BA9229, BA10060, BA10895
|
||||
and BA15957.
|
||||
"""
|
||||
from __future__ import annotations
|
||||
|
||||
import pytest
|
||||
|
||||
from minimateplus.client import _decode_0a_partial_header
|
||||
from sfm.waveform_store import (
|
||||
_serial_from_bw_bytes,
|
||||
_serial_from_bw_filename,
|
||||
_serial_number_from_bw_filename,
|
||||
)
|
||||
|
||||
|
||||
# ── the filename gives a number, and only a number ──────────────────────────
|
||||
|
||||
@pytest.mark.parametrize("name,num", [
|
||||
("P036L318.C80H", 14036), # BE14036
|
||||
("H907KWRK.WB0H", 6907), # BE6907
|
||||
("M529LKIQ.G10", 11529), # BE11529
|
||||
("T003LQ9K.OE0H", 18003), # BE18003
|
||||
("L895K63F.GE0W", 10895), # BA10895 — a BlastMate
|
||||
("K229HGQI.XO0W", 9229), # BA9229 — a BlastMate
|
||||
])
|
||||
def test_number_from_filename(name, num):
|
||||
assert _serial_number_from_bw_filename(name) == num
|
||||
|
||||
|
||||
@pytest.mark.parametrize("name", ["", "not_a_bw_file.bin", "AB12", "1234ABCD.XX0W"])
|
||||
def test_number_from_filename_rejects_junk(name):
|
||||
assert _serial_number_from_bw_filename(name) is None
|
||||
|
||||
|
||||
def test_filename_only_decoder_is_a_guess():
|
||||
"""It still answers "BE" — that is why it must not be the first choice."""
|
||||
assert _serial_from_bw_filename("L895K63F.GE0W") == "BE10895"
|
||||
assert _serial_from_bw_filename("M529LKIQ.G10") == "BE11529"
|
||||
assert _serial_from_bw_filename("nonsense") is None
|
||||
|
||||
|
||||
# ── the body carries the truth ──────────────────────────────────────────────
|
||||
|
||||
def _body(serial: bytes) -> bytes:
|
||||
return b"\x00" * 32 + b"STRT" + b"\xff\xfe" + serial + b"\x00Geo: 0.254 in/s\x00"
|
||||
|
||||
|
||||
def test_body_wins_for_a_blastmate():
|
||||
assert _serial_from_bw_bytes(_body(b"BA10895"), "L895K63F.GE0W") == "BA10895"
|
||||
|
||||
|
||||
def test_body_wins_for_a_minimate():
|
||||
assert _serial_from_bw_bytes(_body(b"BE11529"), "M529LKIQ.G10") == "BE11529"
|
||||
|
||||
|
||||
def test_body_candidate_must_match_the_filename_number():
|
||||
"""A serial-shaped byte run that disagrees with the filename is ignored."""
|
||||
assert _serial_from_bw_bytes(_body(b"XX99999"), "L895K63F.GE0W") is None
|
||||
|
||||
|
||||
def test_body_tolerates_a_leading_zero():
|
||||
assert _serial_from_bw_bytes(_body(b"BA09229"), "K229HGQI.XO0W") == "BA09229"
|
||||
|
||||
|
||||
@pytest.mark.parametrize("data,name", [
|
||||
(b"", "L895K63F.GE0W"), # no bytes
|
||||
(_body(b"BA10895"), "junk.bin"), # no derivable number
|
||||
])
|
||||
def test_body_returns_none_when_it_cannot_decide(data, name):
|
||||
assert _serial_from_bw_bytes(data, name) is None
|
||||
|
||||
|
||||
# ── the live monitor-log path ───────────────────────────────────────────────
|
||||
|
||||
def _partial_record(serial: bytes) -> bytes:
|
||||
"""0x2C partial record: type, prefix, two 9-byte timestamps, then ASCII."""
|
||||
ts = bytes([11, 0x10, 4, 0x07, 0xE9, 0, 16, 2, 0]) # 2025-04-11 16:02:00
|
||||
return (bytes([0x2C]) + b"\x00" * 10 + ts + ts
|
||||
+ b"\x00\x00\x00\x00" + serial + b"\x00Geo: 0.254 in/s\x00")
|
||||
|
||||
|
||||
@pytest.mark.parametrize("serial", [b"BE11529", b"BA10895", b"UM11719"])
|
||||
def test_monitor_log_reads_any_family_prefix(serial):
|
||||
entry = _decode_0a_partial_header(_partial_record(serial), 0, b"\x01\x11\x00\x00")
|
||||
assert entry is not None
|
||||
assert entry.serial == serial.decode()
|
||||
|
||||
|
||||
def test_monitor_log_geo_threshold_survives_a_blastmate():
|
||||
"""The old find(b"BE") skipped the whole block, losing geo too."""
|
||||
entry = _decode_0a_partial_header(_partial_record(b"BA10895"), 0, b"\x01\x11\x00\x00")
|
||||
assert entry is not None
|
||||
assert entry.geo_threshold_ips == pytest.approx(0.254)
|
||||
@@ -712,27 +712,8 @@ def test_forty_nn_is_a_data_block_not_a_segment_header():
|
||||
"""
|
||||
assert data_block_len(b"\x40\x02\x00\x01\x00\x02", 0) == (6, 2)
|
||||
assert data_block_len(b"\x40\x08" + bytes(16), 0) == (18, 8)
|
||||
|
||||
|
||||
def test_forty_nn_is_not_capped_at_eight():
|
||||
"""NN > 8 is a perfectly ordinary `40 NN` block.
|
||||
|
||||
This test previously asserted the opposite (`40 0c` -> (None, None)),
|
||||
codifying a guard that had no evidence behind it: the only corpora
|
||||
available then used NN in {1,2,3,4,8}, so the cap was never exercised.
|
||||
Loud UM12947 events use NN of 12, 16, 20 ... up to 196, and rejecting
|
||||
them halted the block walk mid-record — surfacing as silently short
|
||||
channels, since the walker stops at the first unrecognised tag rather
|
||||
than raising. Lifting the cap took that corpus from 22 length-mismatched
|
||||
files to 0, and 1,476,242 of 1,476,249 samples now reproduce Thor's own
|
||||
CSV export exactly (the 7 stragglers differ by one 4th-decimal tick).
|
||||
Verified 2026-09-11; see docs/idf_protocol_reference.md.
|
||||
"""
|
||||
assert data_block_len(b"\x40\x0c" + bytes(24), 0) == (26, 12)
|
||||
assert data_block_len(b"\x40\xc4" + bytes(392), 0) == (394, 196)
|
||||
# The real bound is the buffer: a block that cannot fit is not a block.
|
||||
assert data_block_len(b"\x40\xc4" + bytes(8), 0) == (None, None)
|
||||
assert data_block_len(b"\x40\x00" + bytes(8), 0) == (None, None)
|
||||
# NN > 8 is not a data block
|
||||
assert data_block_len(b"\x40\x0c" + bytes(24), 0) == (None, None)
|
||||
|
||||
|
||||
def test_record_chain_is_followed_by_length_not_by_tag_sniffing():
|
||||
|
||||
Reference in New Issue
Block a user