411 lines
15 KiB
Python
411 lines
15 KiB
Python
"""
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FastAPI主应用
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"""
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import asyncio
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.staticfiles import StaticFiles
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from fastapi.responses import FileResponse
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from contextlib import asynccontextmanager
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from app.config import get_settings
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from app.utils.logger import logger
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from app.api import chat, stock, skills, llm, auth, admin, paper_trading, stocks, signals
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import os
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# 后台任务
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_price_monitor_task = None
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_report_task = None
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_stock_agent_task = None
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_crypto_agent_task = None
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async def price_monitor_loop():
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"""后台价格监控循环 - 使用轮询检查止盈止损"""
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from app.services.paper_trading_service import get_paper_trading_service
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from app.services.binance_service import binance_service
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from app.services.feishu_service import get_feishu_service
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from app.services.telegram_service import get_telegram_service
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logger.info("后台价格监控任务已启动（轮询模式）")
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feishu = get_feishu_service()
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telegram = get_telegram_service()
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paper_trading = get_paper_trading_service()
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# 价格更新回调 - 检查止盈止损
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async def on_price_update(symbol: str, price: float):
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"""价格更新时检查止盈止损"""
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try:
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# 检查止盈止损
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triggered = paper_trading.check_price_triggers(symbol, price)
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# 发送通知
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for result in triggered:
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status = result.get('status', '')
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event_type = result.get('event_type', 'order_closed')
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# 处理挂单成交事件
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if event_type == 'order_filled':
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side_text = "做多" if result.get('side') == 'long' else "做空"
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grade = result.get('signal_grade', 'N/A')
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message = f"""✅ 挂单成交
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交易对: {result.get('symbol')}
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方向: {side_text}
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等级: {grade}
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挂单价: ${result.get('entry_price', 0):,.2f}
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成交价: ${result.get('filled_price', 0):,.2f}
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仓位: ${result.get('quantity', 0):,.0f}
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止损: ${result.get('stop_loss', 0):,.2f}
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止盈: ${result.get('take_profit', 0):,.2f}"""
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# 发送通知
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await feishu.send_text(message)
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await telegram.send_message(message)
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logger.info(f"后台监控触发挂单成交: {result.get('order_id')} | {symbol}")
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continue
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# 处理订单平仓事件
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is_win = result.get('is_win', False)
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if status == 'closed_tp':
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emoji = "🎯"
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status_text = "止盈平仓"
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elif status == 'closed_sl':
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emoji = "🛑"
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status_text = "止损平仓"
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elif status == 'closed_be':
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emoji = "🔒"
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status_text = "保本止损"
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else:
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emoji = "📤"
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status_text = "平仓"
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win_text = "盈利" if is_win else "亏损"
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side_text = "做多" if result.get('side') == 'long' else "做空"
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message = f"""{emoji} 订单{status_text}
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交易对: {result.get('symbol')}
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方向: {side_text}
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入场: ${result.get('entry_price', 0):,.2f}
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出场: ${result.get('exit_price', 0):,.2f}
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{win_text}: {result.get('pnl_percent', 0):+.2f}% (${result.get('pnl_amount', 0):+.2f})
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持仓时间: {result.get('hold_duration', 'N/A')}"""
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# 发送通知
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await feishu.send_text(message)
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await telegram.send_message(message)
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logger.info(f"后台监控触发平仓: {result.get('order_id')} | {symbol}")
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except Exception as e:
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logger.error(f"处理 {symbol} 价格更新失败: {e}")
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# 持续监控活跃订单
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while True:
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try:
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# 获取活跃订单
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active_orders = paper_trading.get_active_orders()
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if not active_orders:
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await asyncio.sleep(10) # 没有活跃订单时，10秒检查一次
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continue
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# 获取所有需要的交易对
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symbols = set(order.get('symbol') for order in active_orders if order.get('symbol'))
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# 获取价格并检查止盈止损
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for symbol in symbols:
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try:
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price = binance_service.get_current_price(symbol)
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if not price:
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continue
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# 检查止盈止损
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triggered = paper_trading.check_price_triggers(symbol, price)
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# 发送通知
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for result in triggered:
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status = result.get('status', '')
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event_type = result.get('event_type', 'order_closed')
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# 处理挂单成交事件
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if event_type == 'order_filled':
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side_text = "做多" if result.get('side') == 'long' else "做空"
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grade = result.get('signal_grade', 'N/A')
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message = f"""✅ 挂单成交
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交易对: {result.get('symbol')}
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方向: {side_text}
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等级: {grade}
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挂单价: ${result.get('entry_price', 0):,.2f}
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成交价: ${result.get('filled_price', 0):,.2f}
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仓位: ${result.get('quantity', 0):,.0f}
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止损: ${result.get('stop_loss', 0):,.2f}
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止盈: ${result.get('take_profit', 0):,.2f}"""
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# 发送通知
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await feishu.send_text(message)
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await telegram.send_message(message)
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logger.info(f"后台监控触发挂单成交: {result.get('order_id')} | {symbol}")
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continue
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# 处理订单平仓事件
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is_win = result.get('is_win', False)
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if status == 'closed_tp':
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emoji = "🎯"
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status_text = "止盈平仓"
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elif status == 'closed_sl':
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emoji = "🛑"
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status_text = "止损平仓"
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elif status == 'closed_be':
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emoji = "🔒"
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status_text = "保本止损"
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else:
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emoji = "📤"
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status_text = "平仓"
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win_text = "盈利" if is_win else "亏损"
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side_text = "做多" if result.get('side') == 'long' else "做空"
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message = f"""{emoji} 订单{status_text}
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交易对: {result.get('symbol')}
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方向: {side_text}
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入场: ${result.get('entry_price', 0):,.2f}
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出场: ${result.get('exit_price', 0):,.2f}
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{win_text}: {result.get('pnl_percent', 0):+.2f}% (${result.get('pnl_amount', 0):+.2f})
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持仓时间: {result.get('hold_duration', 'N/A')}"""
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# 发送通知
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await feishu.send_text(message)
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await telegram.send_message(message)
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logger.info(f"后台监控触发平仓: {result.get('order_id')} | {symbol}")
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except Exception as e:
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logger.error(f"检查 {symbol} 价格失败: {e}")
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# 每 3 秒检查一次
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await asyncio.sleep(3)
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except Exception as e:
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logger.error(f"价格监控循环出错: {e}")
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await asyncio.sleep(5)
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async def periodic_report_loop():
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"""定时报告循环 - 每4小时发送一次模拟交易报告"""
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from datetime import datetime
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from app.services.paper_trading_service import get_paper_trading_service
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from app.services.telegram_service import get_telegram_service
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logger.info("定时报告任务已启动")
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# 计算距离下一个整4小时的等待时间
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def get_seconds_until_next_4h():
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now = datetime.now()
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current_hour = now.hour
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# 下一个4小时整点: 0, 4, 8, 12, 16, 20
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next_4h = ((current_hour // 4) + 1) * 4
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if next_4h >= 24:
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next_4h = 0
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# 需要等到明天
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from datetime import timedelta
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next_time = now.replace(hour=0, minute=0, second=0, microsecond=0) + timedelta(days=1)
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else:
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next_time = now.replace(hour=next_4h, minute=0, second=0, microsecond=0)
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wait_seconds = (next_time - now).total_seconds()
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return int(wait_seconds), next_time
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while True:
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try:
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# 计算等待时间
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wait_seconds, next_time = get_seconds_until_next_4h()
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logger.info(f"下次报告时间: {next_time.strftime('%Y-%m-%d %H:%M')}，等待 {wait_seconds // 3600}小时{(wait_seconds % 3600) // 60}分钟")
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# 等待到下一个4小时整点
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await asyncio.sleep(wait_seconds)
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# 生成并发送报告
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paper_trading = get_paper_trading_service()
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telegram = get_telegram_service()
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report = paper_trading.generate_report(hours=4)
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await telegram.send_message(report, parse_mode="HTML")
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logger.info("已发送4小时模拟交易报告")
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except Exception as e:
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logger.error(f"定时报告循环出错: {e}")
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import traceback
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logger.error(traceback.format_exc())
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await asyncio.sleep(60) # 出错后等待1分钟再重试
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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"""应用生命周期管理"""
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global _price_monitor_task, _report_task, _stock_agent_task, _crypto_agent_task
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# 启动时执行
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logger.info("应用启动")
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# 启动后台任务
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settings = get_settings()
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if getattr(settings, 'paper_trading_enabled', True):
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_price_monitor_task = asyncio.create_task(price_monitor_loop())
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logger.info("后台价格监控任务已创建")
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_report_task = asyncio.create_task(periodic_report_loop())
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logger.info("定时报告任务已创建")
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# 启动加密货币智能体
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if getattr(settings, 'crypto_symbols', '') and settings.crypto_symbols.strip():
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try:
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from app.crypto_agent.crypto_agent import get_crypto_agent
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crypto_agent = get_crypto_agent()
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# 防止重复启动
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if not crypto_agent.running:
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_crypto_agent_task = asyncio.create_task(crypto_agent.run())
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logger.info(f"加密货币智能体已启动，监控: {settings.crypto_symbols}")
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else:
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logger.info("加密货币智能体已在运行中")
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except Exception as e:
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logger.error(f"加密货币智能体启动失败: {e}")
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# 启动美股智能体
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if getattr(settings, 'stock_symbols', '') and settings.stock_symbols.strip():
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try:
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from app.stock_agent.stock_agent import get_stock_agent
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stock_agent = get_stock_agent()
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_stock_agent_task = asyncio.create_task(stock_agent.start())
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# 设置智能体实例到 API 模块
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stocks.set_stock_agent(stock_agent)
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logger.info(f"美股智能体已启动，监控: {settings.stock_symbols}")
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except Exception as e:
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logger.error(f"美股智能体启动失败: {e}")
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logger.error(f"提示: 请确保已安装 yfinance (pip install yfinance)")
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yield
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# 关闭时执行
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if _price_monitor_task:
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_price_monitor_task.cancel()
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try:
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await _price_monitor_task
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except asyncio.CancelledError:
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pass
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logger.info("后台价格监控任务已停止")
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if _report_task:
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_report_task.cancel()
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try:
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await _report_task
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except asyncio.CancelledError:
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pass
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logger.info("定时报告任务已停止")
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# 停止加密货币智能体
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if _crypto_agent_task:
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_crypto_agent_task.cancel()
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try:
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await _crypto_agent_task
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except asyncio.CancelledError:
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pass
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logger.info("加密货币智能体已停止")
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# 停止美股智能体
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if _stock_agent_task:
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_stock_agent_task.cancel()
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try:
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await _stock_agent_task
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except asyncio.CancelledError:
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pass
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logger.info("美股智能体已停止")
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logger.info("应用关闭")
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# 创建FastAPI应用
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app = FastAPI(
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title="A股AI分析Agent系统",
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description="基于AI Agent的股票智能分析系统",
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version="1.0.0",
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lifespan=lifespan
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)
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# 配置CORS
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settings = get_settings()
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app.add_middleware(
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CORSMiddleware,
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allow_origins=settings.cors_origins.split(","),
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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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# 注册路由
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app.include_router(auth.router, tags=["认证"])
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app.include_router(admin.router, tags=["后台管理"])
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app.include_router(chat.router, prefix="/api/chat", tags=["对话"])
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app.include_router(stock.router, prefix="/api/stock", tags=["股票数据"])
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app.include_router(skills.router, prefix="/api/skills", tags=["技能管理"])
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app.include_router(llm.router, tags=["LLM模型"])
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app.include_router(paper_trading.router, tags=["模拟交易"])
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app.include_router(stocks.router, prefix="/api/stocks", tags=["美股分析"])
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app.include_router(signals.router, tags=["信号管理"])
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# 挂载静态文件
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frontend_path = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), "frontend")
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if os.path.exists(frontend_path):
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app.mount("/static", StaticFiles(directory=frontend_path), name="static")
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@app.get("/")
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async def root():
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"""根路径，返回主应用页面"""
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index_path = os.path.join(frontend_path, "index.html")
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if os.path.exists(index_path):
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return FileResponse(index_path)
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return {"message": "页面不存在"}
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@app.get("/app")
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async def app_page():
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"""主应用页面"""
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index_path = os.path.join(frontend_path, "index.html")
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if os.path.exists(index_path):
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return FileResponse(index_path)
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return {"message": "页面不存在"}
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@app.get("/health")
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async def health_check():
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"""健康检查"""
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return {"status": "healthy"}
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@app.get("/paper-trading")
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async def paper_trading_page():
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"""模拟交易页面"""
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page_path = os.path.join(frontend_path, "paper-trading.html")
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if os.path.exists(page_path):
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return FileResponse(page_path)
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return {"message": "页面不存在"}
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@app.get("/signals")
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async def signals_page():
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"""信号列表页面"""
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page_path = os.path.join(frontend_path, "signals.html")
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if os.path.exists(page_path):
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return FileResponse(page_path)
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return {"message": "页面不存在"}
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(
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"app.main:app",
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host=settings.api_host,
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port=settings.api_port,
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reload=settings.debug
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)
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