178 lines
6.5 KiB
Python
178 lines
6.5 KiB
Python
"""推荐列表 API"""
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import asyncio
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import logging
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import traceback
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from datetime import datetime
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from fastapi import APIRouter, Depends
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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, should_prefer_realtime_today
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from app.data.tushare_client import tushare_client
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from app.core.deps import get_current_admin
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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("/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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"supply_demand_score": r.supply_demand_score,
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"price_action_score": r.price_action_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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"action_plan": r.action_plan,
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"trigger_condition": r.trigger_condition,
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"invalidation_condition": r.invalidation_condition,
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"suggested_position_pct": r.suggested_position_pct,
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"review_after_days": r.review_after_days,
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"lifecycle_status": r.lifecycle_status,
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"data_freshness": r.data_freshness,
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"llm_score": r.llm_score,
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"recall_tags": r.recall_tags,
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"prefilter_decision": r.prefilter_decision,
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"prefilter_reason": r.prefilter_reason,
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"focus_points": r.focus_points,
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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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"strategy_profile": result.get("strategy_profile"),
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}
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@router.post("/refresh")
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async def refresh(scan_session: str = "manual", _admin: dict = Depends(get_current_admin)):
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"""手动触发一次全量筛选（后台执行，立即返回）"""
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from app.engine.recommender import _scan_running, _scan_lock
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if _scan_running:
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return {
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"status": "already_running",
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"message": "扫描正在执行中，请稍候",
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"is_trading": is_trading_hours(),
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}
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# 在后台执行扫描，立即返回响应
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asyncio.create_task(_run_scan_background(scan_session))
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return {
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"status": "scanning",
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"message": "扫描已启动，完成后自动刷新",
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"is_trading": is_trading_hours(),
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}
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async def _run_scan_background(scan_session: str):
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"""后台执行扫描并推送结果"""
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from app.engine.recommender import refresh_recommendations
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from app.api.websocket import broadcast_update
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try:
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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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# 通过 WebSocket 推送扫描完成通知
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await broadcast_update({
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"type": "scan_update",
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"session": scan_session,
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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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"timestamp": datetime.now().isoformat(),
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})
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except Exception as e:
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logger.error(f"后台扫描失败: {e}")
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from app.db.error_logger import log_error
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await log_error("recommender_api", f"后台扫描失败: {e}", detail=traceback.format_exc())
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await broadcast_update({
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"type": "scan_error",
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"session": scan_session,
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"message": str(e),
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"timestamp": datetime.now().isoformat(),
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})
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@router.post("/update-tracking")
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async def update_tracking(_admin: dict = Depends(get_current_admin)):
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"""独立更新推荐跟踪数据（不触发新扫描，盘中可单独调用）"""
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from app.engine.recommender import _update_tracking
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await _update_tracking()
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stats = await get_performance_stats()
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return {
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"status": "ok",
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"tracked": stats.get("tracked", 0),
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"win_rate": stats.get("win_rate", 0),
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"avg_return": stats.get("avg_return", 0),
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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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latest_trade_date = tushare_client.get_latest_trade_date()
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prefer_realtime = should_prefer_realtime_today(latest_trade_date)
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return {
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"is_trading": is_trading_hours(),
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"scan_mode": "intraday" if prefer_realtime else "post_market",
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"description": "今日实时分析优先" if prefer_realtime 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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