"""Sanity-check the generated shellops_pro dataset. For every row: * re-run `gt_bash` against a fresh copy of init_dir * confirm stdout matches `expected_text` exactly (for string/hybrid) * confirm resulting file tree byte-matches post_files (for files/hybrid) * verify file count, file-type diversity, and total char volume """ import shutil import subprocess import tempfile from collections import Counter from pathlib import Path import pandas as pd ROOT = Path(__file__).resolve().parents[3] DATA_DIR = Path(__file__).resolve().parent def write_tree(dst: Path, files: list) -> None: dst.mkdir(parents=True, exist_ok=True) for entry in files: p = dst / entry["path"] p.parent.mkdir(parents=True, exist_ok=True) p.write_text(entry["content"]) def read_tree(src: Path) -> dict: result = {} for p in sorted(src.rglob("*")): if p.is_file(): result[p.relative_to(src).as_posix()] = p.read_text() return result def verify_row(row: dict) -> None: with tempfile.TemporaryDirectory() as tmp: work = Path(tmp) / "work" write_tree(work, list(row["pre_files"])) r = subprocess.run( ["bash", "-c", row["gt_bash"]], cwd=work, capture_output=True, text=True, ) assert r.returncode == 0, ( f"{row['id']} gt_bash failed: rc={r.returncode} stderr={r.stderr!r}" ) got_stdout = r.stdout.rstrip("\n") if row["task_type"] in ("string", "hybrid"): assert got_stdout == row["expected_text"], ( f"{row['id']} stdout mismatch:\nexpected={row['expected_text']!r}\n" f"got={got_stdout!r}" ) if row["task_type"] in ("files", "hybrid"): actual_tree = read_tree(work) expected_tree = {e["path"]: e["content"] for e in row["post_files"]} only_actual = set(actual_tree) - set(expected_tree) only_expected = set(expected_tree) - set(actual_tree) diff_keys = [ k for k in actual_tree if k in expected_tree and actual_tree[k] != expected_tree[k] ] assert actual_tree == expected_tree, ( f"{row['id']} file tree mismatch:\n" f"only_in_actual={only_actual}\n" f"only_in_expected={only_expected}\n" f"content_diffs={diff_keys}" ) def main() -> None: df = pd.read_parquet(DATA_DIR / "test.parquet") assert 1 <= len(df) <= 150, f"unexpected row count: {len(df)}" print(f"{'id':<24} {'type':<7} {'nfiles':>6} {'nbytes':>9} {'exts':<40}") for _, row in df.iterrows(): pre = list(row["pre_files"]) n_files = len(pre) n_bytes = sum(len(e["content"]) for e in pre) ext_counts = Counter(Path(e["path"]).suffix or "" for e in pre) exts = ",".join(sorted(ext_counts)) assert n_files >= 30, f"{row['id']}: n_files={n_files}" verify_row(row.to_dict()) print( f"{row['id']:<24} {row['task_type']:<7} {n_files:>6} {n_bytes:>9} {exts:<40}" ) total_bytes = sum( sum(len(e["content"]) for e in r["pre_files"]) for _, r in df.iterrows() ) print(f"\nall {len(df)} tasks verified. total pre_files bytes: {total_bytes:,}") if __name__ == "__main__": main()