| """Export only new trajectories in each baseline's exact schema, preserving all old rows.""" |
| from pathlib import Path |
| import sys,os,json,hashlib,copy |
| import pyarrow as pa |
| import pyarrow.parquet as pq |
| BASE=Path(__file__).resolve().parent;sys.path.insert(0,str(BASE/'runtime')) |
| os.environ.setdefault('CGD_ARTIFACTS',str(BASE.parents[2]/'artifacts')) |
| from code_search import sft |
| from generate import validate_messages |
| OUT=BASE/'release';OUT.mkdir(exist_ok=True) |
| prep=json.loads((BASE/'preparation.json').read_text());report={'target_unfiltered':14500,'arms':{}} |
| for arm in ['grep','colgrep']: |
| complete=json.loads((BASE/arm/'COMPLETE.json').read_text());p=BASE/arm/'new-raw.jsonl' |
| assert hashlib.sha256(p.read_bytes()).hexdigest()==complete['raw_sha256'] |
| raw=[json.loads(l) for l in p.open()];assert len(raw)==prep['baseline'][arm]['additional_needed'] |
| ids=[r['instance_id'] for r in raw];assert len(ids)==len(set(ids)) |
| variants={'unfiltered':[],'weighted':[],'f1':[],'filerecall':[]} |
| for row in raw: |
| validate_messages(row) |
| weighted=row.pop('_weighted') |
| variants['unfiltered'].append(row) |
| if weighted:variants['weighted'].append(weighted) |
| if sft.keep_record(row,min_file_recall=0.,allow_shell_search=arm=='grep') and row['file_f1']>=.5:variants['f1'].append(row) |
| if sft.keep_record(row,min_file_recall=1.,allow_shell_search=arm=='grep'):variants['filerecall'].append(row) |
| armreport={} |
| for kind,rows in variants.items(): |
| paths=[p for f,p in sorted(prep['baseline'][arm]['files'].items()) if f.startswith(kind+'/')] |
| old=pq.read_table(paths);schema=old.schema |
| oldids=set(old['instance_id'].to_pylist());assert not oldids.intersection(ids) |
| protocol=json.loads((BASE/f'{arm}-{kind}-protocol.json').read_text()) |
| cleaned=[] |
| for r in rows: |
| r=copy.deepcopy(r);r['messages'][0]['content']=protocol['system_prompt'];r['tools']=json.dumps(protocol['tools'],indent=2) |
| if kind=='weighted':assert len(r['turn_weights'])==sum(m['role']=='assistant' for m in r['messages']) |
| cleaned.append({k:r.get(k) for k in old.column_names}) |
| table=pa.Table.from_pylist(cleaned,schema=schema) |
| dest=OUT/f'{arm}-python'/kind;dest.mkdir(parents=True,exist_ok=True) |
| for i in range((len(table)+1999)//2000):pq.write_table(table.slice(i*2000,2000),dest/f'sft-{i:05d}.parquet',compression='zstd',row_group_size=100) |
| |
| if len(table):assert pq.read_table(sorted(dest.glob('*.parquet'))).equals(table) |
| armreport[kind]={'old_rows':len(old),'new_rows':len(table),'total_rows':len(old)+len(table),'source_repo':prep['baseline'][arm]['repo'],'source_revision':prep['baseline'][arm]['revision']} |
| assert armreport['unfiltered']['total_rows']==14500 |
| report['arms'][arm]=armreport |
| print(arm,armreport,flush=True) |
| report['new_files_sha256']={str(p.relative_to(OUT)):hashlib.sha256(p.read_bytes()).hexdigest() for p in sorted(OUT.rglob('*.parquet'))} |
| (OUT/'generation-report.json').write_text(json.dumps(report,indent=2)+'\n') |
| print('Export verified; no remote datasets modified by generation job',flush=True) |
|
|
