Atomic mv of root V1 assets (main_server.py + modules/ + data/ + tests/ + entry scripts + docs + logs) into signal_v1/ subdirectory. load_dotenv() updated to load web-ai/.env explicitly via Path. Adds web-ai/CLAUDE.md (workspace guide) and web-ai/start.bat (signal_v1 entry wrapper). Prepares for signal_v2/ Phase 2. Tests: signal_v1/tests/unit baseline preserved (no regression). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
189 lines
5.1 KiB
Python
189 lines
5.1 KiB
Python
import os
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import uvicorn
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import multiprocessing
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from fastapi import FastAPI, Request
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from pydantic import BaseModel
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from contextlib import asynccontextmanager
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from modules.config import Config
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from modules.services.ollama import OllamaManager
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from modules.services.kis import KISClient
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from modules.services.news import NewsCollector
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from modules.services.telegram import TelegramMessenger
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from modules.bot import AutoTradingBot
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from modules.utils.process_tracker import ProcessTracker, ProcessWatchdog
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from modules.services.telegram_bot.runner import run_telegram_bot_standalone
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# 전역 객체
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messenger = TelegramMessenger()
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ai_agent = None
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kis_client = None
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news_collector = None
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watchdog = None
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def run_trading_bot(ipc_lock, command_queue, shutdown_event):
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"""트레이딩 봇 실행 래퍼"""
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ProcessTracker.register("Trading Bot Main")
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bot = AutoTradingBot(ipc_lock=ipc_lock, command_queue=command_queue,
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shutdown_event=shutdown_event)
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bot.loop()
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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global ai_agent, kis_client, news_collector, watchdog
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# 1. 설정 검증
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Config.validate()
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# 2. 좀비 프로세스 정리
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try:
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ProcessTracker.check_and_kill_zombies()
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ProcessTracker.clear()
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ProcessTracker.register("Main Server (Uvicorn Worker)")
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except Exception:
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pass
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# 3. 전역 객체 초기화
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ai_agent = OllamaManager()
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kis_client = KISClient()
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news_collector = NewsCollector()
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# 4. 공유 리소스 생성
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ipc_lock = multiprocessing.Lock()
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command_queue = multiprocessing.Queue()
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shutdown_event = multiprocessing.Event()
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print("[Server] Starting AI Trading Bot & Telegram Bot...")
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# 5. 자식 프로세스 생성
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bot_args = (ipc_lock, command_queue, shutdown_event)
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telegram_args = (ipc_lock, command_queue, shutdown_event)
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bot_process = multiprocessing.Process(
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target=run_trading_bot, args=bot_args)
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bot_process.start()
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telegram_process = multiprocessing.Process(
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target=run_telegram_bot_standalone, args=telegram_args)
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telegram_process.start()
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# 6. Watchdog 시작
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watchdog = ProcessWatchdog(shutdown_event=shutdown_event)
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watchdog.watch("Trading Bot", bot_process, run_trading_bot, bot_args)
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watchdog.watch("Telegram Bot", telegram_process,
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run_telegram_bot_standalone, telegram_args)
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watchdog.start()
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messenger.send_message("[Server Started] Windows AI Server Online.")
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yield
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# [Shutdown]
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print("[Server] Shutting down...")
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shutdown_event.set()
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if watchdog:
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watchdog.stop()
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# 자식 프로세스 종료
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for name in ["Trading Bot", "Telegram Bot"]:
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proc = watchdog.get_process(name) if watchdog else None
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if proc and proc.is_alive():
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print(f" - Stopping {name}...")
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proc.join(timeout=5)
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if proc.is_alive():
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proc.terminate()
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proc.join(timeout=3)
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# SharedMemory 정리
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try:
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from multiprocessing.shared_memory import SharedMemory
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shm = SharedMemory(name=Config.SHM_NAME, create=False)
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shm.close()
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shm.unlink()
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except Exception:
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pass
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messenger.send_message("[Server Stopped] Server Shutting Down.")
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app = FastAPI(title="Windows AI Stock Server", lifespan=lifespan)
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@app.middleware("http")
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async def log_requests(request: Request, call_next):
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print(f"[HTTP] {request.method} {request.url}")
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response = await call_next(request)
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return response
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class ManualOrderRequest(BaseModel):
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ticker: str
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action: str
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quantity: int
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@app.get("/")
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def index():
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vram = 0
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if ai_agent:
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vram = ai_agent.check_vram()
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return {
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"status": "online",
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"gpu_vram": round(vram, 2),
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"service": "Windows AI Server (Refactored)"
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}
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@app.get("/trade/balance")
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@app.get("/api/trade/balance")
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async def get_balance():
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if not kis_client:
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return {"error": "Server not initialized"}
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return kis_client.get_balance()
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@app.post("/trade/order")
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@app.post("/api/trade/order")
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async def manual_order(req: ManualOrderRequest):
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ticker = req.ticker
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qty = req.quantity
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action = req.action.upper()
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result = "No Action"
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if action == "BUY":
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result = kis_client.buy_stock(ticker, qty)
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elif action == "SELL":
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result = kis_client.sell_stock(ticker, qty)
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return {"status": "executed", "kis_result": result}
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@app.post("/analyze/portfolio")
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@app.post("/api/analyze/portfolio")
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async def analyze_portfolio():
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balance = kis_client.get_balance()
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news = news_collector.get_market_news()
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prompt = f"""
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Analyze this portfolio with recent news:
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Portfolio: {balance}
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News: {news}
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Response in Korean.
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"""
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analysis = ai_agent.request_inference(prompt)
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return {"analysis": analysis}
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if __name__ == "__main__":
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# 서버 시작 시 좀비 프로세스 정리
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try:
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ProcessTracker.check_and_kill_zombies()
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except Exception:
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pass
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print("[Server] Starting Windows AI Server...")
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uvicorn.run("main_server:app", host="0.0.0.0", port=8000, reload=False)
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