102 lines
3.5 KiB
Python
102 lines
3.5 KiB
Python
"""推荐列表 API"""
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from fastapi import APIRouter
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from app.engine.recommender import (
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refresh_recommendations,
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get_latest_recommendations,
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get_recommendation_history,
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get_performance_stats,
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)
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from app.config import is_trading_hours
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router = APIRouter(prefix="/api/recommendations", tags=["recommendations"])
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@router.get("/latest")
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async def get_latest():
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"""获取最新推荐列表"""
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result = await get_latest_recommendations()
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mt = result.get("market_temp")
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return {
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"market_temperature": {
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"trade_date": mt.trade_date if mt else "",
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"temperature": mt.temperature if mt else 0,
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"up_count": mt.up_count if mt else 0,
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"down_count": mt.down_count if mt else 0,
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"limit_up_count": mt.limit_up_count if mt else 0,
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"limit_down_count": mt.limit_down_count if mt else 0,
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"max_streak": mt.max_streak if mt else 0,
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"broken_rate": mt.broken_rate if mt else 0,
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"index_above_ma20": mt.index_above_ma20 if mt else False,
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} if mt else None,
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"recommendations": [
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{
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"ts_code": r.ts_code,
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"name": r.name,
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"sector": r.sector,
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"score": r.score,
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"level": r.level,
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"signal": r.signal,
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"market_temp_score": r.market_temp_score,
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"sector_score": r.sector_score,
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"capital_score": r.capital_score,
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"technical_score": r.technical_score,
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"position_score": r.position_score,
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"valuation_score": r.valuation_score,
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"entry_price": r.entry_price,
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"target_price": r.target_price,
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"stop_loss": r.stop_loss,
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"reasons": r.reasons,
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"risk_note": r.risk_note,
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"llm_analysis": r.llm_analysis,
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"entry_timing": r.entry_timing,
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"llm_score": r.llm_score,
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"strategy": r.strategy,
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"entry_signal_type": r.entry_signal_type,
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"scan_session": r.scan_session,
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"created_at": r.created_at.isoformat() if r.created_at else None,
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}
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for r in result.get("recommendations", [])
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],
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"scan_mode": result.get("scan_mode", "unknown"),
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}
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@router.post("/refresh")
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async def refresh(scan_session: str = "manual"):
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"""手动触发一次全量筛选"""
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result = await refresh_recommendations(scan_session=scan_session)
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rec_count = len(result.get("recommendations", []))
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mt = result.get("market_temp")
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return {
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"status": "ok",
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"count": rec_count,
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"temperature": mt.temperature if mt else 0,
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"scan_mode": result.get("scan_mode", "unknown"),
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"is_trading": is_trading_hours(),
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}
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@router.get("/status")
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async def get_scan_status():
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"""获取当前扫描状态信息"""
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return {
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"is_trading": is_trading_hours(),
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"scan_mode": "intraday" if is_trading_hours() else "post_market",
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"description": "盘中实时扫描（腾讯行情）" if is_trading_hours() else "盘后分析（Tushare日级数据）",
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}
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@router.get("/history")
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async def get_history(days: int = 7):
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"""获取历史推荐（按日期分组）"""
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return await get_recommendation_history(days)
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@router.get("/performance")
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async def performance():
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"""获取推荐胜率统计"""
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return await get_performance_stats()
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