v0.27.0 Decoder fixes, offset exploration and testing. #34

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serversdown merged 8 commits from dev into main 2026-08-28 22:40:35 -04:00
5 changed files with 453 additions and 4 deletions
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+21
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@@ -7,6 +7,27 @@ All notable changes to seismo-relay are documented here.
## [Unreleased]
### Fixed
- **Sub-minute histograms with a partial final block decoded to nothing**
(`histogram_codec.detect_multi_interval_stride`). The stride search confirmed
itself on a third block header whenever the body was long enough to hold one —
but a body can exceed two strides and still contain only two real blocks, because
a *partial* final block leaves trailing padding. BE18193 `T193L0XM.CI0H` (51
intervals at 2 s = one full 30-interval block plus a 21-interval remainder, in a
2787-byte body) therefore had its correct stride of 612 discarded and produced an
empty decode. A missing third header now means end-of-stream rather than
disqualification; the block-counter check, which is what actually prevents the
false positives that once mis-dispatched 9,082 files, is unchanged.
Found by decoding the full DL2 archive against its preserved Blastware ASCII
exports. Across 127,035 histogram binaries the fix recovers **8 files** (strides
92, 252 and 612; units BE18193, BE18191, BE9557, BE9440) with **zero** files
regressed. Verification over all 14,340 archive pairs goes 14,337 → 14,338 exact,
the only remainder being two series-4 IDF files that belong to a different codec.
⚠ Prod stores hold `.h5` files generated before this fix. The 8 affected events
stay empty until `backfill_sidecars.py` is re-run — not urgent at 8 files, and
worth folding into the next backfill rather than doing one for this alone.
- **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)
and inside the scheduled histogram whose interval contains it (stamped at the 7am/7pm
+12 -4
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@@ -413,10 +413,18 @@ def detect_multi_interval_stride(body: bytes) -> Optional[int]:
if (_ctr(stride) - _ctr(0)) & 0xFFFF != 1:
continue
# confirm on a third block when the body is long enough
if 2 * stride + _MULTI_HEADER_LEN <= len(body):
if not _is_multi_header(body, 2 * stride):
continue
# Confirm on a third block WHEN ONE IS ACTUALLY PRESENT. A body can
# be longer than two strides and still hold only two real blocks: a
# final *partial* block leaves trailing padding. E.g. 51 intervals at
# 2 s = one full 30-interval block + a 21-interval remainder, in a
# 2787-byte body — long enough to demand a third header at 1224 that
# does not exist. Requiring it unconditionally threw away the correct
# stride and the file decoded to nothing (BE18193 T193L0XM.CI0H).
# The block-counter check above is the decisive anti-false-positive
# test; this one is corroboration, so a missing third header means
# end-of-stream, not disqualification.
if (2 * stride + _MULTI_HEADER_LEN <= len(body)
and _is_multi_header(body, 2 * stride)):
if (_ctr(2 * stride) - _ctr(stride)) & 0xFFFF != 1:
continue
return stride
+164
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@@ -0,0 +1,164 @@
#!/usr/bin/env python3
"""Scan series-3 waveform binaries for the 'offset' hardware fault.
A healthy geophone trace is centred on zero. An offset unit sits displaced,
so the channel mean approaches its own peak. Detector (unchanged from the
2026-08-25 run, see memory note `offset-archive-analysis-backlog`):
dominant-axis |mean| / peak > 0.7
AND |mean| >= 0.9 * the unit's geo trigger level
Trigger level is read from a paired _ASCII.TXT where one exists, otherwise
from a per-serial median learned across that unit's ASCII files, otherwise
--default-trigger.
Serial is decoded from the BW filename: prefix letter encodes thousands
(chr(ord('B') + n)), next 3 digits the remainder -- T193 -> BE18193.
Usage:
python scratch/offset_scan.py --dir <path> [--jobs N] --out offsets.csv
"""
from __future__ import annotations
import argparse, csv, json, re, sys
from collections import defaultdict
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
from minimateplus.bw_ascii_report import parse_report
GEO = ("Tran", "Vert", "Long")
_GEO_FS_COUNTS = 32000.0
_WAVE_RE = re.compile(r"\.[A-Za-z0-9]{2}0[Ww]$")
_STEM_RE = re.compile(r"^([B-Z])(\d{3})")
MEAN_OVER_PEAK_MIN = 0.7
TRIGGER_FRACTION = 0.9
def serial_from_name(name: str):
m = _STEM_RE.match(name)
if not m:
return None
letter, digits = m.group(1), m.group(2)
return f"BE{(ord(letter) - ord('B')) * 1000 + int(digits)}"
def counts_to_ips(c, gr):
return c * (gr or 10.0) / _GEO_FS_COUNTS
def scan_one(path_str: str, default_trigger: float) -> dict | None:
p = Path(path_str)
try:
gr, trig = 10.0, None
ap = p.with_name(p.name.replace(".", "_", 1) + "_ASCII.TXT") \
if False else p.parent / (p.stem + "_" + p.suffix.lstrip(".") + "_ASCII.TXT")
if ap.exists():
rep = parse_report(ap.read_text(errors="replace"))
gr = rep.geo_range_ips or 10.0
trig = rep.geo_trigger_level_ips
ev = read_blastware_file(p)
s = ev.raw_samples or {}
if not all(s.get(c) for c in GEO):
return None
best = None
for ch in GEO:
arr = s[ch]
n = len(arr)
if n == 0:
continue
mean = sum(arr) / n
peak = max(abs(v) for v in arr)
if peak == 0:
continue
ratio = abs(mean) / peak
if best is None or peak > best["peak_counts"]:
best = {"channel": ch, "mean_counts": mean,
"peak_counts": peak, "ratio": ratio}
if best is None:
return None
ts = ev.timestamp
return {
"serial": serial_from_name(p.name) or "?",
"timestamp": (f"{ts.year:04d}-{ts.month:02d}-{ts.day:02d}T"
f"{ts.hour:02d}:{ts.minute:02d}:{ts.second:02d}") if ts else "",
"filename": p.name,
"channel": best["channel"],
"offset_ips": round(counts_to_ips(best["mean_counts"], gr), 4),
"peak_ips": round(counts_to_ips(best["peak_counts"], gr), 4),
"mean_over_peak": round(best["ratio"], 3),
"trigger_level_ips": trig if trig is not None else "",
"geo_range_ips": gr,
}
except Exception:
return None
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--dir", required=True)
ap.add_argument("--jobs", type=int, default=4)
ap.add_argument("--limit", type=int, default=0)
ap.add_argument("--default-trigger", type=float, default=0.2)
ap.add_argument("--out", required=True)
a = ap.parse_args()
files = [p for p in Path(a.dir).rglob("*") if p.is_file() and _WAVE_RE.search(p.name)]
files.sort()
if a.limit:
files = files[: a.limit]
print(f"waveform binaries to scan: {len(files)}", flush=True)
rows = []
with ProcessPoolExecutor(max_workers=a.jobs) as ex:
futs = [ex.submit(scan_one, str(p), a.default_trigger) for p in files]
for n, f in enumerate(as_completed(futs), 1):
r = f.result()
if r:
rows.append(r)
if n % 2000 == 0:
print(f" {n}/{len(files)}", flush=True)
# learn per-serial trigger levels from the rows that had an ASCII
by_serial = defaultdict(list)
for r in rows:
if r["trigger_level_ips"] != "":
by_serial[r["serial"]].append(float(r["trigger_level_ips"]))
med = {}
for k, v in by_serial.items():
v.sort()
med[k] = v[len(v) // 2]
for r in rows:
if r["trigger_level_ips"] == "":
r["trigger_level_ips"] = med.get(r["serial"], a.default_trigger)
r["suspect"] = int(
r["mean_over_peak"] > MEAN_OVER_PEAK_MIN
and abs(r["offset_ips"]) >= TRIGGER_FRACTION * float(r["trigger_level_ips"])
)
cols = ["serial", "timestamp", "filename", "channel", "offset_ips", "peak_ips",
"mean_over_peak", "trigger_level_ips", "geo_range_ips", "suspect"]
with open(a.out, "w", newline="") as fh:
w = csv.DictWriter(fh, fieldnames=cols)
w.writeheader()
w.writerows(rows)
sus = [r for r in rows if r["suspect"]]
print(f"\nscanned {len(rows)} decodable waveforms")
print(f"suspect events: {len(sus)}")
per = defaultdict(int)
for r in sus:
per[r["serial"]] += 1
print(f"units with >=1 suspect event: {len(per)} of {len({r['serial'] for r in rows})}")
for s, n in sorted(per.items(), key=lambda x: -x[1])[:20]:
print(f" {s:10} {n}")
print(f"\nwrote {a.out}")
if __name__ == "__main__":
main()
+221
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@@ -0,0 +1,221 @@
#!/usr/bin/env python3
"""Verify the series-3 decoder against preserved Blastware ASCII exports.
Pairs each `<stem>_<ext>_ASCII.TXT` with its binary `<stem>.<ext>`, decodes the
binary with the production codec, and compares against BW's own export:
waveform — per-channel sample counts, then every sample value
histogram — interval count, then every per-interval channel peak
ADC counts convert as ips = counts * geo_range_ips / 32000 (1 decoder unit =
16 counts = 0.005 in/s at the 10 in/s range; see CLAUDE.md).
Usage:
python scratch/verify_against_ascii.py --dir <path> [--limit N] [--jobs N]
[--out results.json] [--kind w|h|all]
"""
from __future__ import annotations
import argparse, json, re, sys, traceback
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
from minimateplus.bw_ascii_report import parse_report_file, parse_report
GEO = ("Tran", "Vert", "Long")
_GEO_FS_COUNTS = 32000.0
_ASCII_SUFFIX_RE = re.compile(r"_ASCII\.TXT$", re.IGNORECASE)
def binary_for(ascii_path: Path) -> Path:
"""H907KXOW_WC0H_ASCII.TXT -> H907KXOW.WC0H"""
stem = _ASCII_SUFFIX_RE.sub("", ascii_path.name)
if "_" not in stem:
return ascii_path.with_name(stem)
head, _, ext = stem.rpartition("_")
return ascii_path.with_name(f"{head}.{ext}")
def counts_to_ips(counts, geo_range_ips):
r = geo_range_ips if geo_range_ips else 10.0
return counts * r / _GEO_FS_COUNTS
def agrees(got, exp, geo_range_ips, tol=0.0006):
"""True when decoded `got` matches BW's exported `exp`.
Saturation carve-out: when an event clips, BW clamps its export to the
channel's range maximum (and writes OORANGE for the summary PPV), while
the decoder faithfully reproduces raw counts that can sit a decoder unit
or two past nominal full scale (32016 counts observed = 10.005 in/s on
the 10 in/s range). Same sign and both at/above the ceiling is agreement,
not a decode error.
"""
if abs(got - exp) <= tol:
return True
r = geo_range_ips if geo_range_ips else 10.0
if abs(exp) >= r - tol and abs(got) >= r - tol and (got >= 0) == (exp >= 0):
return True
return False
def parse_interval_table(text: str):
"""Histogram interval rows: time, Tpk, Tfq, Vpk, Vfq, Lpk, Lfq, PVS, ..., micdB, micfq"""
rows = []
seen_header = False
for line in text.splitlines():
if "\t" not in line:
continue
cols = [c.strip().strip('"') for c in line.split("\t")]
cols = [c for c in cols if c != ""]
if not seen_header:
if any(c in ("Tran", "Vert", "Long") for c in cols):
seen_header = True
continue
if len(cols) < 7:
continue
if not re.match(r"^\d{1,2}:\d{2}:\d{2}$", cols[0]):
continue
def num(s):
try:
return float(s)
except ValueError:
return None
rows.append({"time": cols[0], "Tran": num(cols[1]),
"Vert": num(cols[3]), "Long": num(cols[5])})
return rows
def check_one(ascii_path_str: str) -> dict:
ap = Path(ascii_path_str)
bp = binary_for(ap)
res = {"ascii": ap.name, "binary": bp.name, "status": "?",
"kind": None, "detail": ""}
try:
if not bp.exists():
res["status"] = "no_binary"
return res
text = ap.read_text(errors="replace")
rep = parse_report(text, parse_samples=True)
ev = read_blastware_file(bp)
gr = rep.geo_range_ips
res["kind"] = kind = ("histogram"
if (rep.event_type or "").lower().startswith(("full histogram", "histogram"))
else "waveform")
samples = ev.raw_samples or {}
dec_n = {c: len(samples.get(c) or []) for c in GEO}
if kind == "histogram":
rows = parse_interval_table(text)
res["n_ascii"] = len(rows)
res["n_decoded"] = dec_n["Tran"]
if not rows:
res["status"] = "no_ascii_table"
return res
if dec_n["Tran"] == 0:
res["status"] = "decode_empty"
return res
if dec_n["Tran"] != len(rows):
res["status"] = "count_mismatch"
res["detail"] = f"decoded {dec_n['Tran']} vs ascii {len(rows)}"
return res
bad = 0
worst = 0.0
for i, row in enumerate(rows):
for ch in GEO:
exp = row[ch]
if exp is None:
continue
got = counts_to_ips(samples[ch][i], gr)
if not agrees(got, exp, gr):
bad += 1
worst = max(worst, abs(got - exp))
res["worst_abs"] = round(worst, 6)
res["status"] = "exact" if bad == 0 else "value_mismatch"
if bad:
res["detail"] = f"{bad} interval-channel values off"
return res
# waveform
asc = rep.samples or []
res["n_ascii"] = len(asc)
res["n_decoded"] = dec_n["Tran"]
if not asc:
res["status"] = "no_ascii_table"
return res
if dec_n["Tran"] == 0:
res["status"] = "decode_empty"
return res
if len({dec_n[c] for c in GEO}) != 1:
res["status"] = "channel_len_mismatch"
res["detail"] = str(dec_n)
return res
if dec_n["Tran"] != len(asc):
res["status"] = "count_mismatch"
res["detail"] = f"decoded {dec_n['Tran']} vs ascii {len(asc)}"
return res
bad = 0
worst = 0.0
for i, quad in enumerate(asc):
for j, ch in enumerate(GEO):
exp = quad[j]
got = counts_to_ips(samples[ch][i], gr)
if not agrees(got, exp, gr):
bad += 1
worst = max(worst, abs(got - exp))
res["worst_abs"] = round(worst, 6)
res["status"] = "exact" if bad == 0 else "value_mismatch"
if bad:
res["detail"] = f"{bad} sample values off"
return res
except Exception as e:
res["status"] = "error"
res["detail"] = f"{type(e).__name__}: {e}"
return res
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--dir", required=True)
ap.add_argument("--limit", type=int, default=0)
ap.add_argument("--jobs", type=int, default=8)
ap.add_argument("--kind", choices=["w", "h", "all"], default="all")
ap.add_argument("--out", default=None)
a = ap.parse_args()
root = Path(a.dir)
files = sorted(p for p in root.rglob("*")
if p.is_file() and p.name.upper().endswith("_ASCII.TXT"))
if a.kind != "all":
want = "0W" if a.kind == "w" else "0H"
files = [p for p in files
if _ASCII_SUFFIX_RE.sub("", p.name).upper().endswith(want)]
if a.limit:
files = files[: a.limit]
print(f"pairs to check: {len(files)}", flush=True)
out = []
from collections import Counter
tally = Counter()
with ProcessPoolExecutor(max_workers=a.jobs) as ex:
futs = {ex.submit(check_one, str(p)): p for p in files}
for n, f in enumerate(as_completed(futs), 1):
r = f.result()
out.append(r)
tally[(r["kind"], r["status"])] += 1
if n % 500 == 0:
print(f" {n}/{len(files)}", flush=True)
print("\n=== results ===")
for (kind, status), n in sorted(tally.items(), key=lambda x: -x[1]):
print(f" {str(kind):10} {status:22} {n}")
if a.out:
Path(a.out).write_text(json.dumps(out, indent=1))
print(f"\nwrote {a.out}")
if __name__ == "__main__":
main()
+35
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@@ -643,3 +643,38 @@ def test_multi_interval_matches_blastware_ascii_exactly():
assert hz is None
elif not cell.startswith("<"):
assert hz is not None and abs(hz - float(cell)) <= max(0.55, float(cell) * 0.02)
def test_partial_final_block_is_not_disqualified_by_missing_third_header():
"""A body can exceed two strides yet hold only two real blocks.
Regression for BE18193 `T193L0XM.CI0H` — 51 intervals at 2 s = one full
30-interval block plus a 21-interval remainder, in a body long enough to
demand a third block header at ``2 * stride`` that does not exist. The
third-block confirmation used to be mandatory whenever the body was long
enough, so the correct stride was discarded and the file decoded to
nothing. A missing third header means end-of-stream, not disqualification;
the block-counter check is the decisive anti-false-positive test.
"""
full = [(1, 1, 2, 2, 3, 3, 4, 4)] * 30
partial = [(5, 5, 6, 6, 7, 7, 8, 8)] * 21
body = (_mk_multi_block(full, ctr=256)
+ _mk_multi_block(partial, ctr=257)
+ b"\xff" * 700) # trailing padding past 2 * stride
stride = 12 + 20 * 30
assert 2 * stride + 6 <= len(body), "padding must reach past two strides"
# the whole point: a third header is absent, and that must not disqualify
assert detect_multi_interval_stride(body) == stride
recs = walk_multi_interval_blocks(body)
assert len(recs) == 51
assert recs[0]["t_peak"] == 1
assert recs[-1]["t_peak"] == 5
def test_third_block_still_rejects_a_mismatched_counter():
"""The corroboration must still bite when a third block IS present."""
ivs = [(1, 1, 2, 2, 3, 3, 4, 4)] * 4
body = (_mk_multi_block(ivs, ctr=256)
+ _mk_multi_block(ivs, ctr=257)
+ _mk_multi_block(ivs, ctr=999)) # counter jumps — not consecutive
assert detect_multi_interval_stride(body) != 12 + 20 * 4