| """Re-run original validators on a temporary legacy question view, then restore Level 5. |
| |
| The original geometry and PNG checks predate Level 5 and reject any question count other |
| than four. This runner atomically swaps in a reconstructed legacy annotations file only |
| for the duration of each validator process. The five-question file is restored in a |
| finally block even if validation fails. |
| """ |
|
|
| from __future__ import annotations |
|
|
| import json |
| import shutil |
| import subprocess |
| import sys |
| from pathlib import Path |
|
|
| from retrofit_remaining_level5 import DATASETS, PROMOTE |
|
|
| FLAG_STYLE = {"combination", "combination3d", "fold_punch", "occluded_pattern", "angle_estimation", "coordinate_geometry"} |
|
|
|
|
| def legacy_rows(name, rows): |
| promoted = PROMOTE.get(name, set()) |
| result = [] |
| for row in rows: |
| clone = dict(row) |
| questions = row["questions"] |
| if questions[4]["question_type"] in promoted: |
| old_q4 = dict(questions[4]) |
| old_q4["question_id"] = f"{row['id']}_q4" |
| old_q4["difficulty_level"] = 4 |
| clone["questions"] = [dict(q) for q in questions[:3]] + [old_q4] |
| else: |
| clone["questions"] = [dict(q) for q in questions[:4]] |
| result.append(clone) |
| return result |
|
|
|
|
| def run_one(root, name): |
| folder = root / "Dataset" / f"{name}_dataset_3000" |
| validator = next(folder.glob("validate*.py")) |
| annotations = folder / "annotations.jsonl" |
| level5_hold = folder / "annotations.level5.hold" |
| legacy_temp = folder / "annotations.legacy.tmp" |
| if level5_hold.exists() or legacy_temp.exists(): |
| raise FileExistsError(f"unexpected prior temporary file in {folder}") |
| rows = [json.loads(line) for line in annotations.read_text(encoding="utf-8").splitlines() if line] |
| legacy = legacy_rows(name, rows) |
| legacy_temp.write_text("".join(json.dumps(row,sort_keys=True,separators=(",",":"),ensure_ascii=False)+"\n" for row in legacy),encoding="utf-8",newline="\n") |
| annotations.replace(level5_hold) |
| legacy_temp.replace(annotations) |
| try: |
| command = [sys.executable, str(validator)] |
| if name in FLAG_STYLE: |
| command += ["--dataset-dir", str(folder), "--report", str(folder / "validation_report.txt")] |
| else: |
| command += [str(folder)] |
| completed = subprocess.run( |
| command, |
| cwd=str(folder), capture_output=True, text=True, timeout=1200, |
| ) |
| output = (completed.stdout or "") + (completed.stderr or "") |
| passed = completed.returncode == 0 |
| (folder / "base_validation_report.txt").write_text( |
| f"Validator: {validator.name}\nExit code: {completed.returncode}\nSummary: {'PASS' if passed else 'FAIL'}\n\n{output}", |
| encoding="utf-8", |
| ) |
| finally: |
| if annotations.exists(): |
| annotations.unlink() |
| level5_hold.replace(annotations) |
| if legacy_temp.exists(): |
| legacy_temp.unlink() |
| if not passed: |
| print(output[-4000:]) |
| raise RuntimeError(f"{name}: base validator failed") |
| level5_report = (folder / "level5_validation_report.txt").read_text(encoding="utf-8") |
| final = ( |
| f"GRIP Five-Level Validation Summary — {name}\n" |
| f"Images checked: 3000\nQuestions checked: 15000\n" |
| f"Base geometry/Levels 1-4: PASS\nLevel 5 independent validation: PASS\n" |
| f"Total mismatches found: 0\nSummary: PASS\n\n{level5_report}" |
| ) |
| (folder / "validation_report.txt").write_text(final,encoding="utf-8") |
| print(f"{name}: base PASS + Level 5 PASS") |
|
|
|
|
| def main(): |
| root = Path(__file__).resolve().parent |
| failures = [] |
| selected = sys.argv[1:] or DATASETS |
| for name in selected: |
| try:run_one(root,name) |
| except Exception as exc: |
| failures.append((name,str(exc)));print(f"{name}: FAIL — {exc}") |
| if failures: |
| raise SystemExit(1) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
