- New routers/nextcloud_talk.py: webhook handler verifies incoming HMAC, calls LLM via BackgroundTasks, posts reply with correctly computed signature (random + message_text, not raw body) - llm_client.py: read Claude OAuth token live from ~/.claude/.credentials.json to avoid stale systemd env tokens; strip conflicting ANTHROPIC_API_KEY - config.py: add nextcloud_url, nextcloud_talk_bot_secret, nextcloud_talk_timeout settings - main.py: register nextcloud_talk router, add logging setup - docs/NEXTCLOUD_TALK_BOT.md: installation guide + HMAC signing gotcha Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
46 lines
1.0 KiB
Python
46 lines
1.0 KiB
Python
import logging
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from contextlib import asynccontextmanager
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from fastapi import FastAPI
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from fastapi.staticfiles import StaticFiles
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from fastapi.responses import FileResponse
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import uvicorn
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logging.basicConfig(level=logging.INFO, format="%(levelname)s:%(name)s: %(message)s")
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from config import settings
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from routers import chat, google_chat, nextcloud_talk
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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yield
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from llm_client import cleanup
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await cleanup()
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app = FastAPI(title="Cortex Dispatcher", lifespan=lifespan)
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app.include_router(chat.router)
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app.include_router(google_chat.router)
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app.include_router(nextcloud_talk.router)
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app.mount("/static", StaticFiles(directory="static"), name="static")
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@app.get("/")
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async def index() -> FileResponse:
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return FileResponse("static/index.html")
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@app.get("/health")
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async def health() -> dict:
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return {"status": "ok"}
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if __name__ == "__main__":
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uvicorn.run(
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"main:app",
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host=settings.host,
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port=settings.port,
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reload=True,
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)
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