"""Rebuild Endless v3 tasks.parquet and archive.parquet from pinned v2 Parquets and metadata/selection.json. pip install pyarrow huggingface_hub python patch.py --out rebuilt Optional --source-dir holds v2 tasks.parquet and archive.parquet for offline reproduction. """ import argparse, json from pathlib import Path import pyarrow as pa import pyarrow.parquet as pq def build(out, source_dir=None): m = json.loads((Path(__file__).parent / 'metadata/selection.json').read_text()) def source(name): if source_dir: return source_dir / name from huggingface_hub import hf_hub_download return Path(hf_hub_download(m['repo_id'], f'endless_v2/{name}', repo_type='dataset', revision=m['v2_revision'], cache_dir=out / '.source-cache')) out.mkdir(parents=True, exist_ok=True) assert not any((out / n).exists() for n in ['tasks.parquet', 'archive.parquet']) old, arch = pq.read_table(source('tasks.parquet')), pq.read_table(source('archive.parquet')) extra = [pa.field('qwen38_attempts', pa.int64()), pa.field('qwen38_successes', pa.int64()), pa.field('qwen38_target_attempts', pa.int64()), pa.field('kept_from_v2', pa.bool_())] kept, excluded = [], [] for r in old.to_pylist(): assert m['tasks'][r['path']]['kept_from_v2'] kept.append({**r, 'qwen38_attempts': 0, 'qwen38_successes': None, 'qwen38_target_attempts': None, 'kept_from_v2': True}) for r in arch.to_pylist(): e = m['tasks'][r['path']] assert r['content_sha256'] == e['qwen38_evaluated_content_sha256'] r.update(qwen38_attempts=e['qwen38_attempts'], qwen38_successes=e['qwen38_successes'], qwen38_target_attempts=m['attempts'], kept_from_v2=False) if e['kept']: r.update(archive_stage=None, archive_reason=None, archive_labels=[]) kept.append(r) else: r.update(archive_reason='zero_success_three_models', archive_labels=['zero_success_three_models']) excluded.append(r) def images(rows): merged = json.loads(old.schema.metadata[b'ot.images.v1']) other = json.loads(arch.schema.metadata[b'ot.images.v1']) merged['tasks'].update(other['tasks']) merged['bundles'].update(other['bundles']) names = {r['path'] for r in rows} merged['tasks'] = {t: e for t, e in merged['tasks'].items() if t in names} used = {e['bundle'] for t in merged['tasks'].values() for e in t['environments']} merged['bundles'] = {k: v for k, v in merged['bundles'].items() if k in used} if 'uncached_task_ids' in merged: merged['uncached_task_ids'] = sorted(names - set(merged['tasks'])) merged['coverage'] = {'cached_tasks': len(merged['tasks']), 'total_tasks': len(names)} return json.dumps(merged).encode() s = m['summary'] release = json.dumps({k: s[k] for k in ['previous_revision', 'source_folder', 'source_revision', 'new_model', 'attempts', 'evaluated', 'v2_kept', 'newly_solved', 'kept', 'reward_policy']}).encode() for name, table, rows in [('tasks.parquet', old, kept), ('archive.parquet', arch, excluded)]: schema = pa.schema([*table.schema, *extra]) pq.write_table(pa.Table.from_pylist(sorted(rows, key=lambda r: r['path']), schema=schema) .replace_schema_metadata({b'ot.images.v1': images(rows), b'ot.release.v3': release}), out / name, compression='zstd') assert len(kept) == s['kept'] and len(excluded) == s['excluded'] print(json.dumps({'kept': len(kept), 'excluded': len(excluded)})) if __name__ == '__main__': p = argparse.ArgumentParser(description=__doc__) p.add_argument('--out', type=Path, required=True) p.add_argument('--source-dir', type=Path) a = p.parse_args() build(a.out, a.source_dir)