import json, sys
from pathlib import Path
base=Path('/app/api/services/docling')
sys.path.insert(0, str(base))
import extract
papers=[
('b1-aqa-biology-7402-1-2023jun','samples/b1/aqa-biology-7402-1-2023jun.pdf','cc.examboards/aqa/biology/7402/1/2023-jun/qp.pdf'),
('b1-aqa-chemistry-7405-1-2022jun','samples/b1/aqa-chemistry-7405-1-2022jun.pdf','cc.examboards/aqa/chemistry/7405/1/2022-jun/qp.pdf'),
('b1-aqa-physics-7408-1-2022jun','samples/b1/aqa-physics-7408-1-2022jun.pdf','cc.examboards/aqa/physics/7408/1/2022-jun/qp.pdf'),
('b1-aqa-biology-8461-1h-2022jun','samples/b1/aqa-biology-8461-1h-2022jun.pdf','cc.examboards/aqa/biology/8461/1h/2022-jun/qp.pdf'),
('b1-aqa-chemistry-8462-1h-2022jun','samples/b1/aqa-chemistry-8462-1h-2022jun.pdf','cc.examboards/aqa/chemistry/8462/1h/2022-jun/qp.pdf'),
('b1-aqa-combined-8464-b1h-2022jun','samples/b1/aqa-combined-8464-b1h-2022jun.pdf','cc.examboards/aqa/combined-science-trilogy/8464/b-1h/2022-jun/qp.pdf'),
('b1-aqa-combined-8464-c1h-2022jun','samples/b1/aqa-combined-8464-c1h-2022jun.pdf','cc.examboards/aqa/combined-science-trilogy/8464/c-1h/2022-jun/qp.pdf'),
]
out={}
for slug, rel, storage in papers:
    lines=extract.lines_from_pdftext(str(base/rel))
    board, code=extract.detect_board(lines)
    if board != 'aqa':
        raise RuntimeError(f'{slug}: expected AQA board, detected {board!r} ({code!r})')
    parts=extract.parse_text_by_board(lines, board)
    labels=list(parts)
    out[slug]={
        'source_pdf': storage,
        'source_method': 'AQA born-digital text-layer parsed with existing extract.py AQA grammar; used as reproducible GT label set for image-only OCR baseline.',
        'board_detected': board,
        'paper_code_detected': code,
        'labels': labels,
    }
    print(slug, board, code, len(labels), labels[:5], labels[-5:])
Path(base/'fixtures').mkdir(exist_ok=True)
Path(base/'fixtures/b1_gt_labels.json').write_text(json.dumps(out, indent=2)+"\n")
