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"""Compute the representation-validation readiness gate from real artifacts.
This does NOT invent labels or treat fallback fingerprints as POM. It inspects
the on-disk benchmark artifacts and reports whether each readiness check is
genuinely satisfied. Safe to rerun: output is deterministic apart from
``generated_at``. Never overwrites benchmark manifests/results.
"""
from __future__ import annotations
import argparse
import json
from datetime import datetime, timezone
from pathlib import Path
from typing import Any
ROOT = Path(__file__).resolve().parents[1]
def write_json(path: Path, value: Any) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(json.dumps(value, indent=2, sort_keys=True) + "\n")
def _read(path: Path) -> Any:
try:
return json.loads(path.read_text())
except Exception:
return None
def real_pom_available() -> bool:
man = _read(ROOT / "artifacts/pom/pom_manifest.json")
emb = ROOT / "artifacts/pom/pom_embeddings.npy"
if not (man and emb.exists()):
return False
# genuine pretrained weights only; fallback-generated assets are rejected
src = json.dumps(man).lower()
return ("openpom" in src or "v1.0.0" in src) and "fallback" not in src
def ablation_complete() -> bool:
res = _read(ROOT / "artifacts/representation_ablation/ablation_results.json")
if not res:
return False
txt = json.dumps(res)
return "morgan" in txt and "real_pom" in txt
def triplet_count_positive() -> bool:
f = ROOT / "data/benchmarks/substitution_triplets/triplets.jsonl"
if not f.exists():
return False
return sum(1 for line in f.read_text().splitlines() if line.strip()) > 0
def prospective_count_ok() -> bool:
f = ROOT / "data/benchmarks/prospective_formulas/formulas.jsonl"
if not f.exists():
return False
n = sum(1 for line in f.read_text().splitlines() if line.strip())
return 30 <= n <= 50
def prospective_labels_sequestered() -> bool:
f = ROOT / "data/benchmarks/prospective_formulas/labels.sequestered.json"
if not f.exists():
return False
return "evaluation_only" in f.read_text()
def evaluate(now: str) -> dict[str, Any]:
checks = {
"real_pom_available": real_pom_available(),
"ablation_complete": ablation_complete(),
"triplet_count_positive": triplet_count_positive(),
"prospective_formula_count_30_to_50": prospective_count_ok(),
"prospective_labels_sequestered": prospective_labels_sequestered(),
}
ready = all(checks.values())
gate = {
"schema_version": 1,
"generated_at": now,
"ready_for_training": ready,
"checks": checks,
"decision": "READY_FOR_TRAINING" if ready else "DO_NOT_TRAIN",
"blockers": [name for name, passed in checks.items() if not passed],
}
write_json(ROOT / "artifacts/training_readiness.json", gate)
return gate
def main() -> int:
parser = argparse.ArgumentParser()
parser.add_argument("--timestamp", help="ISO-8601 timestamp for reproducible freezing")
args = parser.parse_args()
now = args.timestamp or datetime.now(timezone.utc).isoformat()
gate = evaluate(now)
print(json.dumps(gate, indent=2, sort_keys=True))
return 0 if gate["ready_for_training"] else 2
if __name__ == "__main__":
raise SystemExit(main())
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