pagepiper/app/startup.py
pyr0ball f941ebdeeb feat: add ODT and Apple Pages document support, wire DOCX into UI
Extends Pagepiper's document shelving pipeline (renamed from "ingest" —
see below) to cover the formats most likely to appear in a real-world
engineering document corpus, prompted by scoping a STERIS licensing pitch
that needs DOCX/ODT coverage.

- Rename the ingest pipeline to "shelve" throughout (scripts/, app/api,
  tests, docs, frontend). "Glean" (Turnstone's term) was considered and
  rejected — that's a harvest metaphor for log/knowledge extraction,
  not a fit for documents entering a library. Documented as a general
  CF naming principle in the org-level CLAUDE.md.
- Wire DOCX into the upload/scan UI, README, and docs — the extraction
  logic (heading-based chunking, table serialization) already existed
  but wasn't exposed to users or covered by tests.
- Add ODT support via odfpy, mirroring DOCX's chunking strategy.
- Add Apple Pages support via headless LibreOffice conversion to ODT.
  No maintained Python library parses the IWA format directly; libreoffice
  bundles libetonyek, the only real open-source Pages parser. Adds
  libreoffice-writer to the Docker image (~300-400MB) for this.
- 24 new/updated tests across shelve_docx, shelve_odt, and shelve_pages;
  full suite (72 tests) passing.

Known gaps not addressed here: no Windchill/DocPortal connector exists
yet (metadata-only PowerShell recon only), Excel/.xlsx is unsupported,
and circuitforge_core.tasks.dispatch_task does not currently exist in
circuitforge-core — cf-orch dispatch is dead code, always falling
through to local BackgroundTasks. See
circuitforge-plans/pagepiper/superpowers/plans/2026-07-10-steris-licensing-pitch.md
for the full writeup.
2026-07-10 13:58:43 -07:00

141 lines
4.6 KiB
Python

# app/startup.py
"""DB migration and vec schema check utilities — called at startup and on first user request."""
from __future__ import annotations
import logging
import os
import re
import sqlite3
import subprocess
import threading
logger = logging.getLogger("pagepiper")
def warn_if_unencrypted(data_dir: str) -> None:
"""Log a warning if cloud mode is running without fscrypt encryption.
Checks whether the users/ subdirectory of data_dir is fscrypt-encrypted.
Non-fatal: warns but does not block startup.
"""
users_dir = os.path.join(data_dir, "users")
os.makedirs(users_dir, exist_ok=True)
if not _fscrypt_available():
logger.warning(
"SECURITY: fscrypt not found on this system. Cloud user data at %s is stored "
"unencrypted. Install fscrypt and run scripts/setup_cloud_fscrypt.sh to enable "
"encryption at rest.",
users_dir,
)
return
try:
result = subprocess.run(
["fscrypt", "status", users_dir],
capture_output=True, text=True, timeout=5,
)
if "Encrypted" not in result.stdout:
logger.warning(
"SECURITY: user data directory %s is not fscrypt-encrypted. "
"Run: sudo scripts/setup_cloud_fscrypt.sh <user_id>",
users_dir,
)
except Exception as exc:
logger.debug("fscrypt status check failed (non-fatal): %s", exc)
def _fscrypt_available() -> bool:
try:
subprocess.run(["fscrypt", "--version"], capture_output=True, timeout=2)
return True
except (FileNotFoundError, subprocess.TimeoutExpired):
return False
def apply_migrations(db_path: str) -> None:
from scripts.db_migrate import migrate
migrate(db_path)
def reembed_docs(docs: list[tuple[str, str]], db_path: str, vec_db_path: str) -> None:
for doc_id, file_path in docs:
suffix = os.path.splitext(file_path)[1].lower()
try:
if suffix == ".epub":
from scripts.shelve_epub import run
elif suffix == ".docx":
from scripts.shelve_docx import run
elif suffix == ".odt":
from scripts.shelve_odt import run
elif suffix == ".pages":
from scripts.shelve_pages import run
else:
from scripts.shelve_pdf import run
logger.info("Auto re-embed: starting %s", os.path.basename(file_path))
run(doc_id=doc_id, file_path=file_path, db_path=db_path, vec_db_path=vec_db_path)
except Exception as exc:
logger.error("Auto re-embed failed for doc %s: %s", doc_id[:8], exc)
def check_and_rebuild_vec_schema(vec_db_path: str, expected_dims: int, db_path: str) -> None:
"""Drop the vec DB if its stored dimension doesn't match config, then queue re-embed.
sqlite-vec bakes the embedding dimension into the virtual table DDL, so changing
models requires dropping and recreating the whole file. Catches the mismatch at
startup rather than surfacing it as an obscure OperationalError mid-request.
"""
if not os.path.exists(vec_db_path):
return
try:
conn = sqlite3.connect(vec_db_path)
row = conn.execute(
"SELECT sql FROM sqlite_master WHERE name='page_vecs_vecs'"
).fetchone()
conn.close()
except Exception as exc:
logger.warning("Vec schema check could not read %s (non-fatal): %s", vec_db_path, exc)
return
if not row:
return
m = re.search(r'float\[(\d+)\]', row[0])
if not m:
return
actual_dims = int(m.group(1))
if actual_dims == expected_dims:
return
logger.warning(
"Vec DB dimension mismatch: stored=%d, configured=%d — dropping %s and queuing re-embed",
actual_dims, expected_dims, vec_db_path,
)
try:
os.remove(vec_db_path)
except OSError as exc:
logger.error(
"Could not delete stale vec DB %s: %s — fix permissions and restart", vec_db_path, exc
)
return
try:
conn = sqlite3.connect(db_path)
docs = conn.execute(
"SELECT id, file_path FROM documents WHERE status='ready'"
).fetchall()
conn.close()
except Exception as exc:
logger.warning("Could not query documents for re-embed: %s", exc)
return
if not docs:
return
logger.info("Queuing re-embed for %d document(s) in background", len(docs))
threading.Thread(
target=reembed_docs,
args=(docs, db_path, vec_db_path),
daemon=True,
name="pagepiper-reembed",
).start()