Extends the shelve pipeline to cover spreadsheets, closing the Excel gap called out in the PR's original "known gaps" list — Windchill/DocPortal corpora commonly include parts lists and spec sheets as spreadsheets, not just prose documents. - scripts/shelve_xlsx.py — openpyxl, chunked by sheet with row-window splitting for large sheets (header row repeated in every window so each chunk stays self-describing for retrieval). - scripts/shelve_ods.py — same chunking strategy via odfpy (already a dependency from ODT support), OpenDocumentSpreadsheet's Table/TableRow/ TableCell. - scripts/shelve_numbers.py — converts via headless LibreOffice to XLSX and delegates to shelve_xlsx, mirroring shelve_pages.py's pattern for .pages. Adds libreoffice-calc to the Docker image alongside the existing libreoffice-writer. - Upload button text changed from an ever-growing format list to "Upload Document or Spreadsheet" — the Supported Formats table in README/docs is now the source of truth for the full list. - 13 new tests (XLSX, ODS, Numbers); full suite (85 tests) passing. Manually verified via Playwright against an isolated test instance: XLSX and ODS both upload, shelve to "ready", and store correctly row-serialized, header-repeated chunks (confirmed via sample-chunks). BM25 search against a 2-chunk toy corpus returned no hits for terms split 1-vs-1 across the two chunks — traced to Okapi BM25's IDF formula giving an exact 0 for terms in exactly half a tiny corpus (log((N-n+0.5)/(n+0.5)) = log(1.0) = 0, filtered by `score <= 0`), not a defect in the new shelvers. The earlier DOCX/ODT/PDF Playwright pass (5 chunks total) diluted this enough to return real results.
101 lines
3.5 KiB
Python
101 lines
3.5 KiB
Python
# scripts/shelve_numbers.py
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"""
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cf-orch task: pagepiper/shelve_numbers
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Converts an Apple Numbers (.numbers) file to XLSX via headless LibreOffice
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(soffice), then delegates extraction/chunking/embedding to shelve_xlsx's
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pipeline.
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Like .pages, .numbers is IWA internally (Snappy-compressed Protocol
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Buffers) — no maintained Python library parses it directly. LibreOffice
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bundles libetonyek, the only mature open-source parser for Apple's iWork
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formats, so shelling out to headless LibreOffice is the only realistic
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full-fidelity extraction path.
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Entry point:
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python scripts/shelve_numbers.py --doc-id X --file-path Y --db-path Z --vec-db-path W
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"""
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from __future__ import annotations
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import logging
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import shutil
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import sqlite3
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import subprocess
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import tempfile
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from pathlib import Path
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logger = logging.getLogger("pagepiper.shelve_numbers")
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_CONVERT_TIMEOUT_SECONDS = 120
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def _update_status_error(db_path: str, doc_id: str, error_msg: str) -> None:
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conn = sqlite3.connect(db_path, timeout=30)
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try:
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conn.execute(
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"UPDATE documents SET status='error', error_msg=?, updated_at=datetime('now') WHERE id=?",
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[error_msg, doc_id],
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)
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conn.commit()
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finally:
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conn.close()
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def _convert_to_xlsx(numbers_path: str, out_dir: str) -> str:
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"""Shell out to headless LibreOffice to convert .numbers -> .xlsx. Returns the output path."""
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result = subprocess.run(
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["soffice", "--headless", "--convert-to", "xlsx", "--outdir", out_dir, numbers_path],
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capture_output=True, text=True, timeout=_CONVERT_TIMEOUT_SECONDS,
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)
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if result.returncode != 0:
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raise RuntimeError(
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f"LibreOffice conversion failed: {result.stderr.strip() or result.stdout.strip()}"
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)
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stem = Path(numbers_path).stem
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xlsx_path = Path(out_dir) / f"{stem}.xlsx"
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if not xlsx_path.exists():
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raise RuntimeError(f"LibreOffice reported success but produced no output for {numbers_path}")
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return str(xlsx_path)
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def run(doc_id: str, file_path: str, db_path: str, vec_db_path: str) -> None:
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"""Convert a .numbers file to XLSX, then run the XLSX shelve pipeline against it."""
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from scripts.shelve_xlsx import run as run_xlsx
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tmp_dir = tempfile.mkdtemp(prefix="pagepiper_numbers_")
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try:
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logger.info("Converting %s to XLSX via headless LibreOffice", file_path)
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xlsx_path = _convert_to_xlsx(file_path, tmp_dir)
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logger.info("Converted to %s — handing off to XLSX shelver", xlsx_path)
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run_xlsx(doc_id=doc_id, file_path=xlsx_path, db_path=db_path, vec_db_path=vec_db_path)
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except Exception as exc:
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logger.error("Shelve failed for doc %s: %s", doc_id, exc, exc_info=True)
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try:
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_update_status_error(db_path, doc_id, str(exc))
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except Exception:
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logger.warning("Could not write error status for doc %s", doc_id)
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raise
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finally:
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shutil.rmtree(tmp_dir, ignore_errors=True)
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if __name__ == "__main__":
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import argparse
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logging.basicConfig(level=logging.INFO)
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parser = argparse.ArgumentParser(
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description="Shelve an Apple Numbers .numbers file (cf-orch task entry point)"
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)
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parser.add_argument("--doc-id", required=True)
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parser.add_argument("--file-path", required=True)
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parser.add_argument("--db-path", required=True)
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parser.add_argument("--vec-db-path", required=True)
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a = parser.parse_args()
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run(
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doc_id=a.doc_id,
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file_path=a.file_path,
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db_path=a.db_path,
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vec_db_path=a.vec_db_path,
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)
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