ProfessorNovaandClaude Opus 5
784b76baf7
Self-hosted knowledge management for SMEs: a split-screen Markdown editor whose sections an LLM refines while you write, and RAG question answering over the documents that result. FastAPI + Postgres/pgvector on the back, SvelteKit on the front, everything OpenAI-compatible and self-hostable. Squashed into a single commit; the development history stays local. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CA43ZJda8Rbp2hKXNy8f6b
60 lines
1.9 KiB
Python
60 lines
1.9 KiB
Python
import asyncio
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import uuid
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from collections.abc import AsyncIterator, Awaitable, Callable
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from contextlib import asynccontextmanager
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from fastapi import FastAPI, Request, Response
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from app.api import api_router
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from app.db import async_session_factory
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from app.errors import register_exception_handlers
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from app.help_import import import_help_documents
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from app.ingestion.handlers import ensure_retention_scheduled
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from app.ingestion.queue import run_queue
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from app.llm.overrides import bootstrap_llm_settings
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from app.llm.overrides import load_config as load_llm_config
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from app.log import correlation_id, setup_logging
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from app.prompts.overrides import load_config as load_prompt_config
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from app.template_catalog import seed_starter_templates
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@asynccontextmanager
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async def lifespan(app: FastAPI) -> AsyncIterator[None]:
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setup_logging()
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async with async_session_factory() as db:
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await ensure_retention_scheduled(db)
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await seed_starter_templates(db)
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await import_help_documents(db)
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await bootstrap_llm_settings(db)
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await load_llm_config(db)
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await load_prompt_config(db)
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stop_event = asyncio.Event()
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queue_task = asyncio.create_task(run_queue(stop_event))
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yield
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stop_event.set()
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try:
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await asyncio.wait_for(queue_task, timeout=10)
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except TimeoutError: # pragma: no cover — a handler refused to finish
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queue_task.cancel()
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app = FastAPI(title="Pablan", version="0.1.0", lifespan=lifespan)
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register_exception_handlers(app)
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@app.middleware("http")
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async def add_correlation_id(
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request: Request, call_next: Callable[[Request], Awaitable[Response]]
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) -> Response:
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cid = request.headers.get("x-request-id") or uuid.uuid4().hex[:16]
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token = correlation_id.set(cid)
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try:
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response = await call_next(request)
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finally:
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correlation_id.reset(token)
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response.headers["x-request-id"] = cid
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return response
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app.include_router(api_router)
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