| """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)) |
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|
|
|
| if __name__ == "__main__": |
| main() |
|
|
