88 lines
2.1 KiB
Python
88 lines
2.1 KiB
Python
"""Chat Service — LLM orchestration, domain agents, memory.
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Consumes chat requests from Redis, executes deep_agent (home/floating),
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streams responses back via Redis pub/sub to WS Gateway.
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Owns: memory_core, memory_associative, memory_episodic, memory_proactive tables.
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"""
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import sys
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from contextlib import asynccontextmanager
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import logging
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from pathlib import Path
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# Ensure the repo root is on sys.path so "shared" is importable in local dev.
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_repo_root = str(Path(__file__).resolve().parents[3])
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if _repo_root not in sys.path:
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sys.path.insert(0, _repo_root)
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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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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logging.getLogger("sqlalchemy.engine").setLevel(logging.WARNING)
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logging.getLogger("sqlalchemy.pool").setLevel(logging.WARNING)
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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# Initialise Langfuse tracing (no-op if keys are missing)
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from app.tracing import init_langfuse
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init_langfuse()
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# Start Redis consumer in background
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from app.redis_consumer import start_consumer
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consumer_task = start_consumer()
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yield
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consumer_task.cancel()
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from app.tracing import shutdown as shutdown_langfuse
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shutdown_langfuse()
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from shared.db import engine
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await engine.dispose()
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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 Chat Service",
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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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app.add_middleware(
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CORSMiddleware,
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allow_origins=settings.CORS_ORIGINS,
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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from app.routes 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": "chat", "version": app.version}
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return app
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app = create_app()
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