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
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@@ -8,13 +8,20 @@ from typing import TYPE_CHECKING
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from python.ebook_search.llm_interface import request_chat_completion
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if TYPE_CHECKING:
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import httpx
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from python.ebook_search.config import EbookSearchConfig
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from python.ebook_search.search import SearchResult
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logger = logging.getLogger(__name__)
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def answer_query(query: str, results: list[SearchResult], config: EbookSearchConfig) -> str:
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async def answer_query(
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client: httpx.AsyncClient,
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query: str,
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results: list[SearchResult],
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config: EbookSearchConfig,
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) -> str:
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"""Answer a question using only retrieved chunks."""
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if not config.answer_enabled:
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logger.info("ebook_answer_skipped_disabled")
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@@ -35,7 +42,8 @@ def answer_query(query: str, results: list[SearchResult], config: EbookSearchCon
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f"[{index}] {result.source_title}{' - ' + result.chapter_title if result.chapter_title else ''}\n{result.text}"
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for index, result in enumerate(results, start=1)
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)
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content = request_chat_completion(
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content = await request_chat_completion(
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client,
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config,
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[
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{
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