Datasets:
File size: 4,968 Bytes
53a8f5c 4338680 53a8f5c 4338680 53a8f5c 4338680 53a8f5c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 | """Reproduce this full release from its pinned published baseline and reviewed repairs.
Original source conversion/build producer: assets/upstream_patch.py.
This final release step restores reviewed file edits and original archived payloads.
Requires pyarrow; huggingface_hub is used only when local baseline paths are omitted.
Example: python patch.py --source-tasks BASE/tasks.parquet --source-archive BASE/archive.parquet --output restored
"""
import argparse,base64,copy,gzip,hashlib,io,json,tarfile
from pathlib import Path
import pyarrow as pa
import pyarrow.parquet as pq
pa.set_cpu_count(min(pa.cpu_count(),4))
def digest_files(values):
h=hashlib.sha256()
for name,data in sorted(values):
name=name.encode();h.update(len(name).to_bytes(8,'big'));h.update(name);h.update(len(data).to_bytes(8,'big'));h.update(data)
return h.hexdigest()
def members(blob):
with tarfile.open(fileobj=io.BytesIO(blob),mode='r:*') as t:
result=[]
for m in t:
p=Path(m.name)
if p.is_absolute() or '..' in p.parts or not(m.isfile() or m.isdir()):raise ValueError('Unsafe task archive')
result.append((copy.copy(m),t.extractfile(m).read() if m.isfile() else None))
return result
def sha(path):
with Path(path).open('rb') as f:return hashlib.file_digest(f,'sha256').hexdigest()
def main():
ap=argparse.ArgumentParser(description=__doc__);ap.add_argument('--source-tasks',type=Path);ap.add_argument('--source-archive',type=Path);ap.add_argument('--output',type=Path,required=True);ap.add_argument('--cache',type=Path);a=ap.parse_args();root=Path(__file__).resolve().parent;a.output.mkdir(parents=True,exist_ok=True)
if any((a.output/n).exists() for n in ['tasks.parquet','archive.parquet']):raise ValueError('Output Parquets already exist')
with tarfile.open(root/'assets/release-repairs.tar.gz','r:gz') as assets:
spec=json.load(assets.extractfile('spec.json'))
for kind in ['tasks','archive']:
key='source_'+kind;p=getattr(a,key)
if p is None:
from huggingface_hub import hf_hub_download
p=Path(hf_hub_download('FWeindel/validated-tasks',f'{spec["dataset"]}/{kind}.parquet',repo_type='dataset',revision=spec['baseline_revision'],cache_dir=str(a.cache or a.output.parent/'patch-hf-cache')))
if sha(p)!=spec['baseline_sha256'][kind]:raise ValueError('Pinned baseline mismatch: '+kind)
setattr(a,key,p)
schema=pa.ipc.read_schema(pa.BufferReader(base64.b64decode(spec['task_schema'])));metadata={k.encode():base64.b64decode(v) for k,v in spec['metadata'].items()};image_path=root/'cached_images/manifest.json'
if image_path.exists():metadata[b'ot.images.v1']=image_path.read_bytes()
schema=schema.with_metadata(metadata);seen=set()
with pq.ParquetWriter(a.output/'tasks.parquet',schema,compression='zstd') as w:
for batch in pq.ParquetFile(a.source_tasks).iter_batches(batch_size=32,use_threads=False):
out=[]
for row in batch.to_pylist():
n=row['path'];s=spec['tasks'].get(n)
if s is None:continue
ms=members(row['task_binary']);before={m.name:d for m,d in ms if d is not None}
if digest_files(before.items())!=s['source_content_sha256']:raise ValueError('Source task drift: '+n)
changed=s['changes'];result=[];remaining=dict(changed)
for m,d in ms:
if m.name in remaining:
fix=remaining.pop(m.name)
if fix is None:continue
d=assets.extractfile(fix['asset']).read();m.mode=fix['mode'];m.size=len(d)
result.append((m,d))
for name,fix in remaining.items():
if fix is None:raise ValueError('Missing deleted member')
d=assets.extractfile(fix['asset']).read();m=tarfile.TarInfo(name);m.mode=fix['mode'];m.size=len(d);result.append((m,d))
if digest_files((m.name,d) for m,d in result if d is not None)!=s['content_sha256']:raise ValueError('Output task mismatch: '+n)
buf=io.BytesIO()
with tarfile.open(fileobj=buf,mode='w') as t:
for m,d in result:t.addfile(m,io.BytesIO(d) if d is not None else None)
out.append({**s['row'],'task_binary':buf.getvalue()});seen.add(n)
if out:w.write_table(pa.Table.from_pylist(out,schema=schema))
if seen!=set(spec['tasks']):raise ValueError('Incomplete task coverage')
base={r['path']:r['task_binary'] for b in pq.ParquetFile(a.source_archive).iter_batches(batch_size=32,use_threads=False) for r in b.to_pylist()};archived=[]
for n,s in spec['archive'].items():
blob=assets.extractfile(s['asset']).read() if s.get('asset') else base[n]
if hashlib.sha256(blob).hexdigest()!=s['binary_sha256']:raise ValueError('Archive payload drift: '+n)
archived.append({**s['row'],'task_binary':blob})
ar_schema=pa.ipc.read_schema(pa.BufferReader(base64.b64decode(spec['archive_schema'])));pq.write_table(pa.Table.from_pylist(archived,schema=ar_schema),a.output/'archive.parquet',compression='zstd')
print(json.dumps({'retained':len(seen),'archived':len(archived),'task_content_hashes_verified':True,'original_archive_payloads_verified':True}))
if __name__=='__main__':main()
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