feat: add WS Gateway and Chat Service (Step 2)
WS Gateway:
- WebSocket lifecycle handler with RS256 JWT auth
- Redis bridge: device registry, frame publishing, tool_result routing
- Inbound routing: tool_result→LPUSH, home/floating→chat pub/sub
- Outbound: subscribes to ws:out:{user_id}, forwards to Electron
- Single-worker Dockerfile (long-lived WS connections)
Chat Service:
- Redis consumer: subscribes to chat:request:* pattern
- Redis-based ws_context: tool_call→publish, BRPOP tool_result (30s timeout)
- deep_agent: single-agent runner with home/floating/stream variants
- memory_middleware: core/associative/episodic/proactive memory with Fernet
- Domain agents: task (8 tools), note (5), project (6), timeline (4)
- LLM factory via LiteLLM (100+ providers)
- Output formatter (StreamFormatter)
- POST /chat REST fallback with Traefik header auth
- Multi-worker Dockerfile with 120s timeout for LLM calls
This commit is contained in:
49
services/ws-gateway/app/main.py
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49
services/ws-gateway/app/main.py
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"""WS Gateway — stateless WebSocket proxy.
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Accepts Electron device connections, authenticates JWT (RS256 public key),
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and routes frames between Electron and downstream services via Redis pub/sub.
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This service has NO business logic — it only routes JSON frames.
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"""
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from contextlib import asynccontextmanager
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import logging
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from fastapi import FastAPI
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from shared.config import settings
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s %(levelname)s %(name)s: %(message)s",
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)
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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yield
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from shared.redis import redis_client
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await redis_client.aclose()
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def create_app() -> FastAPI:
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app = FastAPI(
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title="Adiuva WS Gateway",
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version="0.1.0",
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docs_url="/docs" if settings.ENV == "dev" else None,
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redoc_url=None,
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lifespan=lifespan,
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)
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from app.handler import router
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app.include_router(router, prefix="/api/v1")
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@app.get("/api/v1/health", tags=["health"])
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async def health() -> dict:
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return {"status": "ok", "service": "ws-gateway", "version": app.version}
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return app
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app = create_app()
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