| """Rebuild this partial v2 release from pinned v1 tasks and metadata/selection.json. |
| Terminal errors score zero. Historical recovery evidence is preserved. |
| """ |
| import argparse,copy,hashlib,json |
| from pathlib import Path |
| import pyarrow as pa,pyarrow.parquet as pq |
| p=argparse.ArgumentParser();p.add_argument('--out',type=Path,required=True);p.add_argument('--source',type=Path);a=p.parse_args() |
| s=json.loads((Path(__file__).parent/'metadata/selection.json').read_text()) |
| if a.source:f=a.source |
| else: |
| from huggingface_hub import hf_hub_download |
| f=Path(hf_hub_download(s['repo_id'],s['source_folder']+'/tasks.parquet',repo_type='dataset',revision=s['source_revision'])) |
| assert hashlib.sha256(f.read_bytes()).hexdigest()==s['source_sha256'] |
| source=pq.ParquetFile(f,memory_map=True);schema=source.schema_arrow.remove_metadata() |
| for name in s['result_columns']:schema=schema.append(pa.field(name,pa.int64())) |
| names={task for task,e in s['tasks'].items() if e['kept']} |
| assert len(names)==s['partial_refresh']['summary']['kept'] |
| meta=dict(source.schema_arrow.metadata or {}) |
| if b'ot.images.v1' in meta: |
| im=json.loads(meta[b'ot.images.v1']);im['tasks']={k:v for k,v in im['tasks'].items() if k in names};used={e['bundle'] for v in im['tasks'].values() for e in v['environments']};im['bundles']={k:v for k,v in im['bundles'].items() if k in used} |
| if 'missing' in im:im['missing']=[x for x in im['missing'] if x.get('task') in names] |
| if 'uncached_task_ids' in im:im['uncached_task_ids']=sorted(names-set(im['tasks'])) |
| if 'coverage' in im:im['coverage']={'cached_tasks':len(im['tasks']),'total_tasks':len(names)} |
| meta[b'ot.images.v1']=json.dumps(im).encode() |
| meta[b'ot.release.v2']=json.dumps({k:v for k,v in s.items() if k!='tasks'}).encode() |
| a.out.mkdir(parents=True,exist_ok=True);assert not (a.out/'tasks.parquet').exists() |
| written=0 |
| with pq.ParquetWriter(a.out/'tasks.parquet',schema.with_metadata(meta),compression='zstd',use_dictionary=['path','content_sha256'],write_statistics=['path','content_sha256',*s['result_columns']],write_batch_size=1) as writer: |
| for batch in source.iter_batches(batch_size=16,use_threads=False): |
| table=pa.Table.from_batches([batch]);paths=table['path'].to_pylist();hashes=table['content_sha256'].to_pylist() |
| for task,h in zip(paths,hashes):assert h==s['tasks'][task]['content_sha256'] |
| keep=[i for i,task in enumerate(paths) if task in names] |
| if not keep:continue |
| selected=table.take(keep).replace_schema_metadata(None);selected_paths=[paths[i] for i in keep] |
| for name in s['result_columns']:selected=selected.append_column(name,pa.array([s['tasks'][task][name] for task in selected_paths],type=pa.int64())) |
| writer.write_table(selected.replace_schema_metadata(meta));written+=len(keep) |
| assert written==len(names) |
| print(written,'retained tasks') |
|
|
