File size: 14,671 Bytes
fc238e3 4312254 fc238e3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 | #!/usr/bin/env python3
"""
IRexp release_check.py — DoR integrity asserts for Sci Data Hub patch.
Skeleton + runnable checks against local jsonl.gz mirrors.
Default root: /workspace/irexp-opus4/data (Hub rev used for inventory).
After a patch build, point --data-dir at the patched out/ directory.
Usage:
python3 release_check.py
python3 release_check.py --data-dir /workspace/irexp-opus4/out
python3 release_check.py --expect-commercial-n 88519 # post-lt3 drop, pre-ND
"""
from __future__ import annotations
import argparse
import gzip
import json
import sys
from collections import Counter
from pathlib import Path
from typing import Any, Iterable
BAND_KEY = "ir_bands_cm-1"
OLD_KEY = "ir_bands_old_cm-1"
BAND_LO, BAND_HI = 350.0, 4000.0
MIN_BANDS = 3
CORE_KEYS = {
"id",
BAND_KEY,
"ir_source",
"h_nmr",
"c_nmr",
"smiles",
"selfies",
"inchikey",
"has_structure",
"source_doi",
"license",
"license_raw",
"license_pool",
"license_source",
}
# pmcid required on PMC-derived pools; Chemotion SA uses `source` instead (schema note).
PMC_POOLS_REQUIRE_PMCID = {"commercial", "non_commercial", "resolved_commercial", "train_no_bench_commercial"}
# Documented (Table-1-adjacent) audit / QC fields — prefer keep + document
COMMERCIAL_DOC_FIELDS = {
OLD_KEY,
"ir_shared_in_paper",
"ir_table_flatten_suspect",
"ir_refetch_confirmed",
"ir_refetch_merged",
}
# Hypervalent I–O exception ids observed on rev 50d6155 (has_structure=False ∧ smiles).
# Recompute / refresh if the set changes; empty set means enforce strict equivalence.
KNOWN_HS_FALSE_WITH_SMILES: set[str] = set() # cleared after has_structure flip (presubmit)
def load_jsonl_gz(path: Path) -> list[dict[str, Any]]:
rows: list[dict[str, Any]] = []
with gzip.open(path, "rt", encoding="utf-8") as f:
for line in f:
line = line.strip()
if line:
rows.append(json.loads(line))
return rows
def bands(row: dict[str, Any]) -> list[float]:
b = row.get(BAND_KEY)
if not b:
return []
return [float(x) for x in b]
def nonempty_smiles(row: dict[str, Any]) -> bool:
s = row.get("smiles")
return s is not None and str(s).strip() != ""
def int_bands(vals: Iterable[float]) -> list[int]:
return [int(round(float(x))) for x in vals]
def order_unique_ints(vals: Iterable[float]) -> list[int]:
out: list[int] = []
seen: set[int] = set()
for v in int_bands(vals):
if v not in seen:
seen.add(v)
out.append(v)
return out
class Checker:
def __init__(self) -> None:
self.failures: list[str] = []
self.warnings: list[str] = []
def check(self, cond: bool, msg: str) -> None:
if not cond:
self.failures.append(msg)
def warn(self, cond: bool, msg: str) -> None:
if not cond:
self.warnings.append(msg)
def section(self, title: str) -> None:
print(f"\n== {title} ==")
def assert_ge3_bands(ck: Checker, name: str, rows: list[dict]) -> None:
bad = [r["id"] for r in rows if len(bands(r)) < MIN_BANDS]
ck.check(len(bad) == 0, f"{name}: {len(bad)} rows with len(bands)<{MIN_BANDS} e.g. {bad[:5]}")
def assert_band_range(ck: Checker, name: str, rows: list[dict]) -> None:
bad = []
for r in rows:
for v in bands(r):
if v < BAND_LO or v > BAND_HI:
bad.append((r["id"], v))
break
ck.check(len(bad) == 0, f"{name}: {len(bad)} rows with bands outside [{BAND_LO},{BAND_HI}] e.g. {bad[:5]}")
def assert_no_dup_int_bands(ck: Checker, name: str, rows: list[dict]) -> None:
bad = []
for r in rows:
ib = int_bands(bands(r))
if len(ib) != len(set(ib)):
bad.append(r["id"])
ck.check(len(bad) == 0, f"{name}: {len(bad)} rows with duplicate integer bands e.g. {bad[:5]}")
def assert_has_structure_smiles(
ck: Checker,
name: str,
rows: list[dict],
allow_exceptions: set[str] | None = None,
) -> None:
"""has_structure ⇔ nonempty smiles, with optional documented exceptions."""
allow = allow_exceptions or set()
true_no_smiles = []
false_with_smiles = []
for r in rows:
hs = r.get("has_structure")
sm = nonempty_smiles(r)
rid = r.get("id")
if hs is True and not sm:
true_no_smiles.append(rid)
if hs is False and sm and rid not in allow:
false_with_smiles.append(rid)
if hs is False and sm and rid in allow:
pass # documented exception
if hs not in (True, False):
ck.check(False, f"{name}: non-bool has_structure on {rid}: {hs!r}")
ck.check(
len(true_no_smiles) == 0,
f"{name}: {len(true_no_smiles)} has_structure=True without smiles e.g. {true_no_smiles[:5]}",
)
ck.check(
len(false_with_smiles) == 0,
f"{name}: {len(false_with_smiles)} has_structure=False with smiles "
f"(not in exception set) e.g. {false_with_smiles[:5]}",
)
def assert_unique_ids(ck: Checker, name: str, rows: list[dict]) -> None:
ids = [r["id"] for r in rows]
ck.check(len(ids) == len(set(ids)), f"{name}: duplicate ids within file ({len(ids)-len(set(ids))})")
def assert_core_schema(ck: Checker, name: str, rows: list[dict]) -> None:
if not rows:
ck.check(False, f"{name}: empty file")
return
# Every row must have core keys (presence; nulls allowed where meaningful)
missing_counts = Counter()
for r in rows:
for k in CORE_KEYS:
if k not in r:
missing_counts[k] += 1
ck.check(
len(missing_counts) == 0,
f"{name}: core keys missing on some rows: {dict(missing_counts)}",
)
def assert_commercial_doc_fields(ck: Checker, rows: list[dict], require_dense_refetch: bool) -> None:
"""Documented fields: old bands always present; refetch preferably dense bools."""
missing_old = sum(1 for r in rows if OLD_KEY not in r)
ck.check(missing_old == 0, f"commercial: {missing_old} rows missing {OLD_KEY}")
if require_dense_refetch:
for field in ("ir_refetch_confirmed", "ir_refetch_merged"):
missing = sum(1 for r in rows if field not in r)
ck.check(
missing == 0,
f"commercial: {missing} rows missing dense {field} "
f"(normalize absent→False before Hub patch)",
)
else:
# Soft note for live Hub (sparse refetch)
sparse_c = sum(1 for r in rows if "ir_refetch_confirmed" not in r)
sparse_m = sum(1 for r in rows if "ir_refetch_merged" not in r)
if sparse_c or sparse_m:
ck.warn(
False,
f"commercial: refetch fields sparse "
f"(confirmed missing={sparse_c}, merged missing={sparse_m}); "
f"densify on next Hub patch",
)
def assert_subset(ck: Checker, child: str, parent: str, child_ids: set[str], parent_ids: set[str]) -> None:
extra = child_ids - parent_ids
ck.check(len(extra) == 0, f"{child} ⊈ {parent}: {len(extra)} ids e.g. {list(extra)[:5]}")
def assert_disjoint(ck: Checker, a: str, b: str, a_ids: set[str], b_ids: set[str]) -> None:
inter = a_ids & b_ids
ck.check(len(inter) == 0, f"{a} ∩ {b} nonempty: {len(inter)} e.g. {list(inter)[:5]}")
def assert_resolved_equals_smiles(
ck: Checker,
commercial: list[dict],
resolved_ids: set[str],
) -> None:
"""After rebuild: resolved ids == commercial ids with nonempty smiles."""
expected = {r["id"] for r in commercial if nonempty_smiles(r)}
only_exp = expected - resolved_ids
only_res = resolved_ids - expected
ck.check(
len(only_exp) == 0 and len(only_res) == 0,
f"resolved ≠ commercial∩smiles: missing_from_resolved={len(only_exp)} "
f"extra_in_resolved={len(only_res)} (sample miss {list(only_exp)[:3]})",
)
def main() -> int:
ap = argparse.ArgumentParser(description=__doc__)
ap.add_argument(
"--data-dir",
type=Path,
default=Path("/workspace/irexp-opus4/data"),
help="Directory with irexp_*.jsonl.gz",
)
ap.add_argument(
"--expect-commercial-n",
type=int,
default=None,
help="If set, assert commercial row count equals this (e.g. 88519 after lt3 drop)",
)
ap.add_argument(
"--strict-resolved-smiles",
action="store_true",
help="Assert resolved == commercial∩smiles (enable after rebuild)",
)
ap.add_argument(
"--require-dense-refetch",
action="store_true",
help="Assert ir_refetch_* present on every commercial row",
)
ap.add_argument(
"--allow-live-defects",
action="store_true",
help="Warn instead of fail on known live Hub defects (lt3, dups, resolved sync)",
)
args = ap.parse_args()
d = args.data_dir
ck = Checker()
files = {
"commercial": d / "irexp_commercial.jsonl.gz",
"non_commercial": d / "irexp_non_commercial.jsonl.gz",
"sharealike": d / "irexp_sharealike.jsonl.gz",
"resolved_commercial": d / "irexp_resolved_commercial.jsonl.gz",
"train_no_bench_commercial": d / "train_no_bench_commercial.jsonl.gz",
}
for name, path in files.items():
ck.check(path.is_file(), f"missing file: {path}")
if ck.failures:
for f in ck.failures:
print("FAIL:", f)
return 1
data = {name: load_jsonl_gz(path) for name, path in files.items()}
ids = {name: {r["id"] for r in rows} for name, rows in data.items()}
print(f"data-dir: {d}")
for name, rows in data.items():
print(f" {name}: n={len(rows)}")
# --- counts ---
ck.section("counts")
if args.expect_commercial_n is not None:
ck.check(
len(data["commercial"]) == args.expect_commercial_n,
f"commercial n={len(data['commercial'])} != expect {args.expect_commercial_n}",
)
# --- per-file quality ---
for name, rows in data.items():
ck.section(f"quality:{name}")
assert_unique_ids(ck, name, rows)
assert_core_schema(ck, name, rows)
if name in PMC_POOLS_REQUIRE_PMCID:
missing_pmcid = sum(1 for r in rows if "pmcid" not in r)
ck.check(missing_pmcid == 0, f"{name}: {missing_pmcid} rows missing pmcid")
if name == "sharealike":
# Chemotion rows: source present, pmcid often absent; PMC SA: pmcid present
no_prov = [
r["id"] for r in rows
if not r.get("pmcid") and not r.get("source")
]
ck.check(len(no_prov) == 0, f"sharealike: {len(no_prov)} rows lack both pmcid and source")
if args.allow_live_defects and name in {
"commercial",
"resolved_commercial",
"train_no_bench_commercial",
"non_commercial",
}:
# Report live defects as warnings
n_lt3 = sum(1 for r in rows if len(bands(r)) < MIN_BANDS)
n_dup = sum(1 for r in rows if len(int_bands(bands(r))) != len(set(int_bands(bands(r)))))
if n_lt3:
ck.warn(False, f"{name}: LIVE defect len<3: {n_lt3}")
if n_dup:
ck.warn(False, f"{name}: LIVE defect dup-int bands: {n_dup}")
assert_band_range(ck, name, rows)
else:
assert_ge3_bands(ck, name, rows)
assert_band_range(ck, name, rows)
assert_no_dup_int_bands(ck, name, rows)
allow = KNOWN_HS_FALSE_WITH_SMILES if name.startswith(
("commercial", "resolved", "train_no_bench")
) or name in {"commercial", "resolved_commercial", "train_no_bench_commercial"} else set()
# Apply exceptions only to commercial family
if name in {"commercial", "resolved_commercial", "train_no_bench_commercial"}:
assert_has_structure_smiles(ck, name, rows, allow_exceptions=KNOWN_HS_FALSE_WITH_SMILES)
else:
assert_has_structure_smiles(ck, name, rows, allow_exceptions=set())
# --- commercial documentation fields ---
ck.section("commercial documented fields")
assert_commercial_doc_fields(
ck, data["commercial"], require_dense_refetch=args.require_dense_refetch
)
# Schema notes (non-fatal): companions lack audit columns
for name in ("non_commercial", "sharealike"):
for field in ("ir_bands_old_cm-1", "ir_shared_in_paper", "ir_table_flatten_suspect"):
if any(field in r for r in data[name]):
continue
ck.warn(False, f"schema note: {name} lacks optional field {field} (document or align)")
# --- cross-file relations ---
ck.section("subset / disjoint")
assert_disjoint(ck, "commercial", "non_commercial", ids["commercial"], ids["non_commercial"])
assert_disjoint(ck, "commercial", "sharealike", ids["commercial"], ids["sharealike"])
assert_disjoint(ck, "non_commercial", "sharealike", ids["non_commercial"], ids["sharealike"])
assert_subset(
ck, "resolved_commercial", "commercial", ids["resolved_commercial"], ids["commercial"]
)
assert_subset(
ck,
"train_no_bench_commercial",
"resolved_commercial",
ids["train_no_bench_commercial"],
ids["resolved_commercial"],
)
if args.strict_resolved_smiles:
assert_resolved_equals_smiles(ck, data["commercial"], ids["resolved_commercial"])
else:
# Live Hub: 364 hs/smiles missing from resolved — warn
expected = {r["id"] for r in data["commercial"] if nonempty_smiles(r)}
miss = expected - ids["resolved_commercial"]
if miss:
ck.warn(
False,
f"resolved sync: {len(miss)} commercial smiles rows not in resolved "
f"(enable --strict-resolved-smiles after rebuild)",
)
# train_no_bench delta should be benchmark holdout (informational)
held = ids["resolved_commercial"] - ids["train_no_bench_commercial"]
print(f"\nresolved − train_no_bench: {len(held)} (expect benchmark IK14 holdout)")
# --- summary ---
print("\n== SUMMARY ==")
for w in ck.warnings:
print("WARN:", w)
if ck.failures:
for f in ck.failures:
print("FAIL:", f)
print(f"\nFAILED with {len(ck.failures)} assertion(s), {len(ck.warnings)} warning(s)")
return 1
print(f"PASSED with {len(ck.warnings)} warning(s)")
return 0
if __name__ == "__main__":
sys.exit(main())
|