4 Commits

Include renames

Author	SHA1	Message	Date
Richie	a1780e7aa3	feat(prompts): implement TOML-backed prompt loading and refactor message generation	2026-07-16 11:56:32 -04:00
Richie	6bf77299e8	Refactor logging statements to use f-strings for improved readability and consistency across the codebase. This change enhances the clarity of log messages by directly embedding variable values, making it easier to trace and debug application behavior.	2026-07-12 19:34:19 -04:00
Richie	bfb3463fd0	feat(ebook): migrate to async DB/HTTP and parallelize phrase pipeline ... 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	2026-07-12 17:51:06 -04:00
Richie	26ff1f0fd3	added answer.py and config	2026-06-14 15:40:04 -04:00