"""Check the small enrichment tables against their retained source metadata.""" from pathlib import Path import json import gzip import pandas as pd import pyarrow.parquet as pq def main(): out = Path(__file__).resolve().parents[1] qwen = pd.read_parquet(out / "data/qwen.parquet") known = qwen[qwen.limit_source_path.notna()] for row in known.itertuples(): source = out.parent / row.limit_source_path metadata = json.loads(source.read_text()) assert row.context_limit == metadata["rollout_protocol"]["max_model_len"] assert row.output_limit == metadata["rollout_protocol"]["max_generate_length"] assert row.model_revision == metadata["model"]["revision"] assert qwen.loc[qwen.limit_source_path.isna(), "context_limit"].isna().all() usage = pd.read_parquet(out / "data/usage_events.parquet") count = 0 for path in (out / "data/events").rglob("*.parquet"): count += sum(v == "usage" for v in pq.read_table(path, columns=["kind"]).column(0).to_pylist()) assert len(usage) == count examples = pd.read_parquet(out / "data/example_summary.parquet") assert examples.loc[examples.example_kind == "process", "truncated"].sum() == 4547 forest = pd.read_parquet(out / "data/forest.parquet") for row in forest[forest.outcome_status == "observed"].itertuples(): source = out.parent / row.trial_grade_source_path original = json.loads(source.read_text()) assert row.reward == original["score"] assert row.outcome_unit == "trial" assert row.canonical_source_path.endswith(("codex-run.jsonl", "opencode-run.jsonl", "yudai-minisweagent.traj.json")) report = {"status":"passed", "known_qwen_limit_episodes":len(known), "usage_events":len(usage), "forest_observed_trial_grades":int((forest.outcome_status == "observed").sum()), "truncated_forest_process_examples":4547} (out / "provenance/metadata_validation.json").write_text(json.dumps(report,indent=2)+"\n") print(json.dumps(report,indent=2)) if __name__ == "__main__": main()