Run full-book candidate generation inside worker-owned sessions so each book commits independently during backfills. Abort recalculation when a book has no indexed chapters to preserve existing phrase data, and update admin/UI tests for the new generation flow.
Convert the ebook-search web app to async end to end and add concurrency
to the protected-phrase extraction and judging pipeline so large books no
longer block the event loop or the UI.
ORM / infra:
- Add get_async_postgres_engine and factor shared URL/connect_args building
into build_postgres_url (reused by the sync and async engine builders)
- Add async FastAPI session helpers (get_async_db, AsyncDbSession) with
expire_on_commit=False to avoid implicit IO under asyncio
App:
- Use AsyncEngine/AsyncSession throughout routes, search, ingest, embeddings,
answer, rerank and LLM calls; convert handlers to async
- Share a single httpx.AsyncClient in app state for LLM requests; size the
connection pool for concurrent phrase-judging workers
- Add judge_tasks: run per-book judging as tracked background tasks so a
book already being judged isn't double-queued
Protected phrases:
- Add a process pool (pool.py) and worker-count config
(extraction/judge book/phrase workers) to parallelize candidate generation
and judging
- Split admin actions into all/missing variants for generation and judging
Config:
- Add protected_phrase_extraction_workers, phrase_judge_book_workers,
phrase_judge_phrase_workers
- Introduced dataclasses for phrase candidates, judgments, and matches in `models.py`.
- Implemented database operations for candidate and protected phrases in `store.py`, including loading, saving, and deleting phrases.
- Enhanced text normalization functions in `text_normalization.py` with detailed docstrings.
- Refactored search functionality to utilize new models and methods for detecting protected phrases.
Expose the protected phrase extraction pipeline through the web UI:
- Admin routes: POST /admin/build-phrases, /admin/generate-ngrams, and
/admin/judge-ngrams, each wrapping the protected_phrases.lib backfill
helpers, committing on success, rolling back and rendering an error
partial on failure, and reporting per-book/candidate/mention counts.
- Book detail page: show candidate, judged, and protected phrase counts,
list top candidate n-grams (with kept/rejected status) and protected
phrases, and add a POST /books/{id}/recalculate-phrases action that
clears and regenerates candidates, then redirects back with a status
message.
- Admin template: add Generate/Judge n-gram buttons.
Also reflows admin.html to 2-space HTML formatting.
Richie