| """Write one PDF per case from a recovered ``full_text.jsonl``. |
| |
| For jurisdictions whose judgment text was recovered into |
| ``data/<cc>/full_text.jsonl`` (Taiwan/Hong Kong via rendering, Serbia via |
| scraping, India via the real PDF bundle) rather than living in the workbook's |
| ``full_text`` column, this produces the original-language PDFs that the Harvey |
| hand-off needs. Font is chosen per country code (Traditional Chinese for |
| tw/hk, Devanagari for in, etc.). |
| """ |
|
|
| from __future__ import annotations |
|
|
| import json |
| from pathlib import Path |
|
|
| from legex.pdf_export.core import write_one_pdf |
| from legex.pdf_export.font_keys import FONT_BY_CC |
|
|
|
|
| def export_jsonl( |
| jsonl_path: Path, |
| out_dir: Path, |
| *, |
| cc: str, |
| min_chars: int = 1, |
| limit: int | None = None, |
| ) -> int: |
| """Write PDFs from ``jsonl_path`` into ``out_dir``. Returns count written.""" |
| font_key = FONT_BY_CC.get(cc, "default") |
| out_dir.mkdir(parents=True, exist_ok=True) |
| used_names: dict[str, int] = {} |
| count = 0 |
| with jsonl_path.open(encoding="utf-8") as f: |
| for line in f: |
| line = line.strip() |
| if not line: |
| continue |
| try: |
| rec = json.loads(line) |
| except json.JSONDecodeError: |
| continue |
| case_id = str(rec.get("case_id") or "").strip() |
| body = str(rec.get("full_text") or "") |
| if not case_id or len(body) < min_chars: |
| continue |
| base = case_id or f"row_{count}" |
| used_names[base] = used_names.get(base, 0) + 1 |
| fname = f"{base}_{used_names[base]}.pdf" if used_names[base] > 1 else f"{base}.pdf" |
| write_one_pdf( |
| out_dir / fname, |
| case_id, |
| "", |
| body, |
| font_key, |
| text_source="full_text.jsonl", |
| ) |
| count += 1 |
| if count % 25 == 0: |
| print(f" {cc}: {count} …", flush=True) |
| if limit is not None and count >= limit: |
| break |
| print(f" {cc}: done, {count} PDFs -> {out_dir}", flush=True) |
| return count |
|
|
