#!/usr/bin/env python3 """Reconstruct frozen GuoFeng cases from user-supplied official V1 Train files.""" import argparse import hashlib import json from pathlib import Path def digest(path): h = hashlib.sha256() with path.open('rb') as stream: for block in iter(lambda: stream.read(1024 * 1024), b''): h.update(block) return h.hexdigest() def read_rows(path): with path.open(encoding='utf-8') as stream: return [json.loads(line) for line in stream if line.strip()] def write_rows(path, rows): with path.open('w', encoding='utf-8') as stream: for row in rows: stream.write(json.dumps(row, ensure_ascii=False) + '\n') def write_checksums(root): files = sorted(p for p in root.rglob('*') if p.is_file() and p.name != 'SHA256SUMS') (root / 'SHA256SUMS').write_text(''.join( f'{digest(p)} {p.relative_to(root).as_posix()}\n' for p in files ), encoding='utf-8') def reconstruct(recipe, source, reference, output): manifest = json.loads((recipe / 'manifest.json').read_text(encoding='utf-8')) for side, path in [('source', source), ('reference', reference)]: if digest(path) != manifest['upstream'][side + '_sha256']: raise ValueError(f'Official {side} file hash differs from the frozen input') if output.exists(): raise FileExistsError(output) unit_specs = read_rows(recipe / 'units.jsonl') by_row = {r['corpus_row']: r for r in unit_specs} values = {} for side, path in [('source', source), ('reference', reference)]: with path.open(encoding='utf-8') as stream: for line_number, line in enumerate(stream, 1): if line_number not in by_row: continue raw = line.rstrip('\r\n') spans = by_row[line_number][side + '_keep_spans'] if any(a < 0 or b < a or b > len(raw) for a, b in spans): raise ValueError(f'Invalid character span at row {line_number}') values.setdefault(line_number, {})[side] = ''.join(raw[a:b] for a, b in spans) if values.keys() != by_row.keys(): raise ValueError('Missing official input rows') by_work = {} for spec in unit_specs: work = spec['document_id'].split(':', 1)[0] by_work.setdefault(work, {})[spec['canonical_alignment_unit_index']] = spec cases, requests, references, alignments = [], [], [], [] prompt = (recipe / 'prompt.txt').read_text(encoding='utf-8') for case in read_rows(recipe / 'case-index.jsonl'): m = case['metadata'] selected = [by_work[case['work_id']][i] for i in range( m['start_alignment_unit'], m['end_alignment_unit_exclusive'])] for side in ['source', 'reference']: case[side] = '\n'.join(values[s['corpus_row']][side] for s in selected) actual = hashlib.sha256(case[side].encode()).hexdigest() if actual != case[side + '_sha256']: raise ValueError(f'Frozen text mismatch: {case["case_id"]} {side}') cases.append(case) requests.append({'case_id': case['case_id'], 'messages': [{'role': 'user', 'content': prompt + '\n\n' + case['source']}], 'metadata': {k: case[k] for k in [ 'track_id', 'split', 'work_id', 'length_band', 'source_sha256']}}) references.append({k: case[k] for k in ['case_id', 'reference', 'reference_sha256']}) for index, spec in enumerate(selected): row = {k: v for k, v in spec.items() if not k.endswith('_keep_spans')} row.update(case_id=case['case_id'], alignment_unit_index=index, **values[spec['corpus_row']]) alignments.append(row) output.mkdir(parents=True) (output / 'segale').mkdir() for name, rows in [('cases.jsonl', cases), ('requests.jsonl', requests), ('references.jsonl', references), ('segale/alignment-units.jsonl', alignments)]: write_rows(output / name, rows) (output / 'segale/document-boundaries.jsonl').write_bytes( (recipe / 'document-boundaries.jsonl').read_bytes()) (output / 'manifest.json').write_text( json.dumps(manifest, ensure_ascii=False, indent=2) + '\n', encoding='utf-8') write_checksums(output) return {'case_count': len(cases), 'matched_source_and_reference_hashes': len(cases) * 2} if __name__ == '__main__': parser = argparse.ArgumentParser(description=__doc__) parser.add_argument('--recipe', type=Path, default=Path(__file__).resolve().parent) parser.add_argument('--source', type=Path, required=True, help='Official V1 Train train.zh') parser.add_argument('--reference', type=Path, required=True, help='Official V1 Train train.en') parser.add_argument('--output', type=Path, required=True, help='New output directory') args = parser.parse_args() print(json.dumps(reconstruct(args.recipe, args.source, args.reference, args.output)))