655 lines
26 KiB
Python
655 lines
26 KiB
Python
"""
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推荐交易对API路由
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"""
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from fastapi import APIRouter, HTTPException, Query
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from typing import Optional, List
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from datetime import datetime, timedelta
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from database.models import TradeRecommendation
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import logging
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logger = logging.getLogger(__name__)
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router = APIRouter(prefix="/api/recommendations", tags=["recommendations"])
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@router.get("")
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async def get_recommendations(
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type: Optional[str] = Query('realtime', description="类型: realtime(实时推荐), bookmarked(已标记的推荐)"),
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status: Optional[str] = Query(None, description="状态过滤: active, executed, expired, cancelled (仅用于bookmarked类型)"),
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direction: Optional[str] = Query(None, description="方向过滤: BUY, SELL"),
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limit: int = Query(50, ge=1, le=200, description="返回数量限制"),
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start_date: Optional[str] = Query(None, description="开始日期 (YYYY-MM-DD, 仅用于bookmarked类型)"),
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end_date: Optional[str] = Query(None, description="结束日期 (YYYY-MM-DD, 仅用于bookmarked类型)"),
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min_signal_strength: int = Query(5, ge=0, le=10, description="最小信号强度 (仅用于realtime类型)")
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):
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"""
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获取推荐交易对列表
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Args:
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type: 类型 - realtime(实时推荐，基于当前行情), bookmarked(已标记的推荐，从数据库查询)
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status: 状态过滤（仅用于bookmarked类型）
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direction: 方向过滤
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limit: 返回数量限制
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start_date: 开始日期（仅用于bookmarked类型）
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end_date: 结束日期（仅用于bookmarked类型）
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min_signal_strength: 最小信号强度（仅用于realtime类型）
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"""
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try:
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if type == 'realtime':
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# 从Redis缓存读取推荐（如果存在）
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import sys
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from pathlib import Path
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current_file = Path(__file__)
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backend_path = current_file.parent.parent.parent
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project_root = backend_path.parent
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trading_system_path = project_root / 'trading_system'
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if not trading_system_path.exists():
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alternative_path = backend_path / 'trading_system'
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if alternative_path.exists():
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trading_system_path = alternative_path
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else:
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raise HTTPException(
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status_code=500,
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detail=f"交易系统模块不存在"
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)
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sys.path.insert(0, str(trading_system_path))
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sys.path.insert(0, str(project_root))
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from binance_client import BinanceClient
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import config
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# 创建客户端（用于访问Redis）
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client = BinanceClient(
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api_key=config.BINANCE_API_KEY,
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api_secret=config.BINANCE_API_SECRET,
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testnet=config.USE_TESTNET
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)
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# 连接Redis（如果还没有连接）
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try:
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await client.redis_cache.connect()
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except:
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pass
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# 从Redis读取推荐
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recommendations = []
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cache_available = False
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try:
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import time
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cache_key = "recommendations:realtime"
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cached_data = await client.redis_cache.hgetall(cache_key)
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if cached_data:
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cache_available = True
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current_time = time.time()
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max_age = 3600 * 2 # 推荐最大保留时间：2小时
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# 过滤过期推荐
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for rec in cached_data.values():
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if isinstance(rec, dict):
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rec_timestamp = rec.get('timestamp', 0)
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# 如果推荐时间超过2小时，跳过
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if current_time - rec_timestamp > max_age:
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continue
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recommendations.append(rec)
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# 按时间戳降序排序（最新的在前）
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recommendations.sort(key=lambda x: x.get('timestamp', 0), reverse=True)
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logger.info(f"从Redis读取到 {len(recommendations)} 个有效推荐（已过滤过期）")
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except Exception as e:
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logger.warning(f"从Redis读取推荐失败: {e}")
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# 如果Redis中没有推荐，实时生成
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if not recommendations:
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logger.info("Redis中没有推荐，实时生成推荐...")
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try:
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from market_scanner import MarketScanner
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from risk_manager import RiskManager
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from trade_recommender import TradeRecommender
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await client.connect()
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try:
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scanner = MarketScanner(client)
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risk_manager = RiskManager(client)
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recommender = TradeRecommender(client, scanner, risk_manager)
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# 生成推荐（会自动保存到Redis）
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recommendations = await recommender.generate_recommendations(
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min_signal_strength=min_signal_strength,
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max_recommendations=limit,
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add_to_cache=True,
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min_quality_score=0.0
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)
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logger.info(f"实时生成了 {len(recommendations)} 个推荐")
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finally:
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await client.disconnect()
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except Exception as e:
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logger.error(f"实时生成推荐失败: {e}")
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import traceback
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logger.error(traceback.format_exc())
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# 方向过滤
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if direction:
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recommendations = [r for r in recommendations if r.get('direction') == direction]
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# 限制返回数量
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recommendations = recommendations[:limit]
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return {
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"success": True,
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"count": len(recommendations),
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"type": "realtime",
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"from_cache": cache_available,
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"data": recommendations
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}
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elif type == 'bookmarked':
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# 从数据库查询已标记的推荐
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# 转换日期字符串
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start_dt = None
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end_dt = None
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if start_date:
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try:
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start_dt = datetime.strptime(start_date, "%Y-%m-%d")
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except ValueError:
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raise HTTPException(status_code=400, detail="开始日期格式错误，应为 YYYY-MM-DD")
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if end_date:
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try:
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end_dt = datetime.strptime(end_date, "%Y-%m-%d")
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end_dt = end_dt.replace(hour=23, minute=59, second=59)
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except ValueError:
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raise HTTPException(status_code=400, detail="结束日期格式错误，应为 YYYY-MM-DD")
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recommendations = TradeRecommendation.get_all(
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status=status,
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direction=direction,
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limit=limit,
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start_date=start_dt,
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end_date=end_dt
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)
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# 更新实时价格
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try:
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import sys
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from pathlib import Path
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current_file = Path(__file__)
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backend_path = current_file.parent.parent.parent
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project_root = backend_path.parent
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trading_system_path = project_root / 'trading_system'
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if trading_system_path.exists():
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sys.path.insert(0, str(trading_system_path))
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from binance_client import BinanceClient
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import config
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client = BinanceClient(
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api_key=config.BINANCE_API_KEY,
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api_secret=config.BINANCE_API_SECRET,
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testnet=config.USE_TESTNET
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)
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# 连接Redis（如果还没有连接）
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try:
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await client.redis_cache.connect()
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except:
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pass
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# 更新推荐中的实时价格和涨跌幅
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for rec in recommendations:
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symbol = rec.get('symbol')
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if symbol:
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# 先尝试从内存缓存获取实时价格（同步）
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realtime_price = client.get_realtime_price(symbol)
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# 如果内存缓存没有，尝试从Valkey异步读取
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if realtime_price is None:
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try:
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realtime_price = await client.get_realtime_price_async(symbol)
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except:
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pass
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# 如果WebSocket/Valkey都没有，尝试从REST API获取
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if realtime_price is None:
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try:
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ticker = await client.get_ticker_24h(symbol)
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if ticker:
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realtime_price = float(ticker.get('lastPrice', 0))
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except:
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pass
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if realtime_price is not None and realtime_price > 0:
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old_price = rec.get('current_price', 0)
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rec['current_price'] = realtime_price
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if old_price > 0:
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change_percent = ((realtime_price - old_price) / old_price) * 100
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rec['change_percent'] = round(change_percent, 4)
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rec['price_updated'] = True
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else:
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rec['price_updated'] = False
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else:
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rec['price_updated'] = False
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else:
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rec['price_updated'] = False
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except Exception as price_update_error:
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logger.debug(f"更新推荐实时价格失败（不影响返回）: {price_update_error}")
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return {
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"success": True,
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"count": len(recommendations),
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"type": "bookmarked",
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"data": recommendations
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}
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else:
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raise HTTPException(status_code=400, detail="type参数必须是 'realtime' 或 'bookmarked'")
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"获取推荐列表失败: {e}")
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raise HTTPException(status_code=500, detail=f"获取推荐列表失败: {str(e)}")
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@router.get("/active")
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async def get_active_recommendations():
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"""
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获取当前有效的推荐（已标记的推荐中未过期、未执行、未取消的）
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使用WebSocket实时价格更新推荐中的价格信息
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同一交易对只返回最新的推荐（已去重）
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"""
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try:
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recommendations = TradeRecommendation.get_active()
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# 确保时间格式正确（转换为ISO格式字符串，包含时区信息）
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from datetime import datetime
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for rec in recommendations:
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if rec.get('recommendation_time'):
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if isinstance(rec['recommendation_time'], datetime):
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rec['recommendation_time'] = rec['recommendation_time'].isoformat()
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# 尝试从WebSocket缓存获取实时价格更新推荐中的价格
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try:
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import sys
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from pathlib import Path
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current_file = Path(__file__)
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backend_path = current_file.parent.parent.parent
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project_root = backend_path.parent
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trading_system_path = project_root / 'trading_system'
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if trading_system_path.exists():
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sys.path.insert(0, str(trading_system_path))
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from binance_client import BinanceClient
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import config
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client = BinanceClient(
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api_key=config.BINANCE_API_KEY,
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api_secret=config.BINANCE_API_SECRET,
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testnet=config.USE_TESTNET
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)
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# 连接Redis（如果还没有连接）
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try:
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await client.redis_cache.connect()
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except:
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pass
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# 更新推荐中的实时价格和涨跌幅
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for rec in recommendations:
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symbol = rec.get('symbol')
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if symbol:
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# 先尝试从内存缓存获取实时价格（同步）
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realtime_price = client.get_realtime_price(symbol)
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# 如果内存缓存没有，尝试从Valkey异步读取
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if realtime_price is None:
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try:
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realtime_price = await client.get_realtime_price_async(symbol)
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except:
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pass
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# 如果WebSocket/Valkey都没有，尝试从REST API获取
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if realtime_price is None:
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try:
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ticker = await client.get_ticker_24h(symbol)
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if ticker:
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realtime_price = float(ticker.get('lastPrice', 0))
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except:
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pass
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if realtime_price is not None and realtime_price > 0:
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old_price = rec.get('current_price', 0)
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rec['current_price'] = realtime_price
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if old_price > 0:
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change_percent = ((realtime_price - old_price) / old_price) * 100
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rec['change_percent'] = round(change_percent, 4)
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rec['price_updated'] = True
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else:
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rec['price_updated'] = False
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else:
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rec['price_updated'] = False
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else:
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rec['price_updated'] = False
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except Exception as price_update_error:
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logger.debug(f"更新推荐实时价格失败（不影响返回）: {price_update_error}")
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return {
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"success": True,
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"count": len(recommendations),
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"data": recommendations
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}
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except Exception as e:
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logger.error(f"获取有效推荐失败: {e}")
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raise HTTPException(status_code=500, detail=f"获取有效推荐失败: {str(e)}")
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@router.get("/{recommendation_id}")
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async def get_recommendation(recommendation_id: int):
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"""
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根据ID获取推荐详情
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"""
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try:
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recommendation = TradeRecommendation.get_by_id(recommendation_id)
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if not recommendation:
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raise HTTPException(status_code=404, detail="推荐不存在")
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return {
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"success": True,
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"data": recommendation
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}
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"获取推荐详情失败: {e}")
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raise HTTPException(status_code=500, detail=f"获取推荐详情失败: {str(e)}")
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@router.get("/symbol/{symbol}")
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async def get_recommendations_by_symbol(
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symbol: str,
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limit: int = Query(10, ge=1, le=50, description="返回数量限制")
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):
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"""
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根据交易对获取推荐记录
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"""
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try:
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recommendations = TradeRecommendation.get_by_symbol(symbol, limit=limit)
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return {
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"success": True,
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"count": len(recommendations),
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"data": recommendations
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}
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except Exception as e:
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logger.error(f"获取交易对推荐失败: {e}")
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raise HTTPException(status_code=500, detail=f"获取交易对推荐失败: {str(e)}")
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@router.post("/{recommendation_id}/execute")
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async def mark_recommendation_executed(
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recommendation_id: int,
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trade_id: Optional[int] = None
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):
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"""
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标记推荐已执行
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Args:
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recommendation_id: 推荐ID
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trade_id: 关联的交易记录ID（可选）
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"""
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try:
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recommendation = TradeRecommendation.get_by_id(recommendation_id)
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if not recommendation:
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raise HTTPException(status_code=404, detail="推荐不存在")
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if recommendation['status'] != 'active':
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raise HTTPException(
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status_code=400,
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detail=f"推荐状态为 {recommendation['status']}，无法标记为已执行"
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)
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TradeRecommendation.mark_executed(recommendation_id, trade_id)
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return {
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"success": True,
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"message": "推荐已标记为已执行"
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}
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"标记推荐已执行失败: {e}")
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raise HTTPException(status_code=500, detail=f"标记推荐已执行失败: {str(e)}")
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@router.post("/{recommendation_id}/cancel")
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async def cancel_recommendation(
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recommendation_id: int,
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notes: Optional[str] = None
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):
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"""
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取消推荐
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Args:
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recommendation_id: 推荐ID
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notes: 取消原因备注
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"""
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try:
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recommendation = TradeRecommendation.get_by_id(recommendation_id)
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if not recommendation:
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raise HTTPException(status_code=404, detail="推荐不存在")
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if recommendation['status'] != 'active':
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raise HTTPException(
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status_code=400,
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detail=f"推荐状态为 {recommendation['status']}，无法取消"
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)
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TradeRecommendation.mark_cancelled(recommendation_id, notes)
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return {
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"success": True,
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"message": "推荐已取消"
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}
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"取消推荐失败: {e}")
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raise HTTPException(status_code=500, detail=f"取消推荐失败: {str(e)}")
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@router.post("/generate")
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async def generate_recommendations(
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min_signal_strength: int = Query(5, ge=0, le=10, description="最小信号强度"),
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max_recommendations: int = Query(20, ge=1, le=50, description="最大推荐数量")
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):
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"""
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生成新的交易推荐
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Args:
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min_signal_strength: 最小信号强度
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max_recommendations: 最大推荐数量
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"""
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try:
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# 导入推荐器
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import sys
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from pathlib import Path
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# 从 backend/api/routes/recommendations.py 向上找到项目根目录
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# backend/api/routes -> backend/api -> backend -> 项目根目录
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current_file = Path(__file__)
|
||
backend_path = current_file.parent.parent.parent # backend目录
|
||
project_root = backend_path.parent # 项目根目录
|
||
trading_system_path = project_root / 'trading_system'
|
||
|
||
logger.info(f"查找交易系统模块: {trading_system_path}")
|
||
logger.info(f"路径存在: {trading_system_path.exists()}")
|
||
|
||
if not trading_system_path.exists():
|
||
# 尝试其他可能的路径
|
||
alternative_path = backend_path / 'trading_system'
|
||
if alternative_path.exists():
|
||
trading_system_path = alternative_path
|
||
logger.info(f"使用备用路径: {trading_system_path}")
|
||
else:
|
||
raise HTTPException(
|
||
status_code=500,
|
||
detail=f"交易系统模块不存在。查找路径: {trading_system_path}, 备用路径: {alternative_path}"
|
||
)
|
||
|
||
sys.path.insert(0, str(trading_system_path))
|
||
sys.path.insert(0, str(project_root))
|
||
|
||
from binance_client import BinanceClient
|
||
from market_scanner import MarketScanner
|
||
from risk_manager import RiskManager
|
||
from trade_recommender import TradeRecommender
|
||
import config
|
||
|
||
# 初始化组件
|
||
client = BinanceClient(
|
||
api_key=config.BINANCE_API_KEY,
|
||
api_secret=config.BINANCE_API_SECRET,
|
||
testnet=config.USE_TESTNET
|
||
)
|
||
|
||
await client.connect()
|
||
|
||
try:
|
||
scanner = MarketScanner(client)
|
||
risk_manager = RiskManager(client)
|
||
recommender = TradeRecommender(client, scanner, risk_manager)
|
||
|
||
# 生成推荐（增量添加到Redis缓存）
|
||
recommendations = await recommender.generate_recommendations(
|
||
min_signal_strength=min_signal_strength,
|
||
max_recommendations=max_recommendations,
|
||
add_to_cache=True, # 添加到Redis缓存
|
||
min_quality_score=0.0 # 不过滤，保留所有推荐
|
||
)
|
||
|
||
return {
|
||
"success": True,
|
||
"count": len(recommendations),
|
||
"message": f"成功生成 {len(recommendations)} 个推荐",
|
||
"data": recommendations
|
||
}
|
||
finally:
|
||
await client.disconnect()
|
||
|
||
except HTTPException:
|
||
raise
|
||
except Exception as e:
|
||
logger.error(f"生成推荐失败: {e}")
|
||
import traceback
|
||
logger.error(traceback.format_exc())
|
||
raise HTTPException(status_code=500, detail=f"生成推荐失败: {str(e)}")
|
||
|
||
|
||
@router.post("/clear-cache")
|
||
async def clear_recommendations_cache():
|
||
"""
|
||
清理Redis中的推荐缓存
|
||
"""
|
||
try:
|
||
import sys
|
||
from pathlib import Path
|
||
current_file = Path(__file__)
|
||
backend_path = current_file.parent.parent.parent
|
||
project_root = backend_path.parent
|
||
trading_system_path = project_root / 'trading_system'
|
||
|
||
if not trading_system_path.exists():
|
||
alternative_path = backend_path / 'trading_system'
|
||
if alternative_path.exists():
|
||
trading_system_path = alternative_path
|
||
|
||
sys.path.insert(0, str(trading_system_path))
|
||
sys.path.insert(0, str(project_root))
|
||
|
||
from binance_client import BinanceClient
|
||
import config
|
||
|
||
client = BinanceClient(
|
||
api_key=config.BINANCE_API_KEY,
|
||
api_secret=config.BINANCE_API_SECRET,
|
||
testnet=config.USE_TESTNET
|
||
)
|
||
|
||
try:
|
||
await client.redis_cache.connect()
|
||
cache_key = "recommendations:realtime"
|
||
await client.redis_cache.delete(cache_key)
|
||
|
||
return {
|
||
"success": True,
|
||
"message": "推荐缓存已清理"
|
||
}
|
||
finally:
|
||
await client.disconnect()
|
||
except Exception as e:
|
||
logger.error(f"清理推荐缓存失败: {e}")
|
||
raise HTTPException(status_code=500, detail=f"清理推荐缓存失败: {str(e)}")
|
||
|
||
|
||
@router.post("/bookmark")
|
||
async def bookmark_recommendation(recommendation_data: dict):
|
||
"""
|
||
标记推荐到数据库（用于复盘）
|
||
|
||
Args:
|
||
recommendation_data: 推荐数据（包含所有推荐字段）
|
||
"""
|
||
try:
|
||
# 提取必需字段
|
||
required_fields = ['symbol', 'direction', 'current_price', 'change_percent',
|
||
'recommendation_reason', 'signal_strength']
|
||
for field in required_fields:
|
||
if field not in recommendation_data:
|
||
raise HTTPException(status_code=400, detail=f"缺少必需字段: {field}")
|
||
|
||
# 保存到数据库
|
||
recommendation_id = TradeRecommendation.create(
|
||
symbol=recommendation_data.get('symbol'),
|
||
direction=recommendation_data.get('direction'),
|
||
current_price=recommendation_data.get('current_price'),
|
||
change_percent=recommendation_data.get('change_percent'),
|
||
recommendation_reason=recommendation_data.get('recommendation_reason'),
|
||
signal_strength=recommendation_data.get('signal_strength'),
|
||
market_regime=recommendation_data.get('market_regime'),
|
||
trend_4h=recommendation_data.get('trend_4h'),
|
||
rsi=recommendation_data.get('rsi'),
|
||
macd_histogram=recommendation_data.get('macd_histogram'),
|
||
bollinger_upper=recommendation_data.get('bollinger_upper'),
|
||
bollinger_middle=recommendation_data.get('bollinger_middle'),
|
||
bollinger_lower=recommendation_data.get('bollinger_lower'),
|
||
ema20=recommendation_data.get('ema20'),
|
||
ema50=recommendation_data.get('ema50'),
|
||
ema20_4h=recommendation_data.get('ema20_4h'),
|
||
atr=recommendation_data.get('atr'),
|
||
suggested_stop_loss=recommendation_data.get('suggested_stop_loss'),
|
||
suggested_take_profit_1=recommendation_data.get('suggested_take_profit_1'),
|
||
suggested_take_profit_2=recommendation_data.get('suggested_take_profit_2'),
|
||
suggested_position_percent=recommendation_data.get('suggested_position_percent'),
|
||
suggested_leverage=recommendation_data.get('suggested_leverage', 10),
|
||
order_type=recommendation_data.get('order_type', 'LIMIT'),
|
||
suggested_limit_price=recommendation_data.get('suggested_limit_price'),
|
||
volume_24h=recommendation_data.get('volume_24h'),
|
||
volatility=recommendation_data.get('volatility'),
|
||
notes=recommendation_data.get('notes', '用户标记用于复盘')
|
||
)
|
||
|
||
logger.info(f"✓ 推荐已标记到数据库: {recommendation_data.get('symbol')} {recommendation_data.get('direction')} (ID: {recommendation_id})")
|
||
|
||
return {
|
||
"success": True,
|
||
"message": "推荐已标记到数据库",
|
||
"recommendation_id": recommendation_id
|
||
}
|
||
except HTTPException:
|
||
raise
|
||
except Exception as e:
|
||
logger.error(f"标记推荐失败: {e}")
|
||
import traceback
|
||
logger.error(traceback.format_exc())
|
||
raise HTTPException(status_code=500, detail=f"标记推荐失败: {str(e)}")
|