zhiwei
9b9c37002a
核心模块： - 策略生命周期管理 (strategy_lifecycle.py) - 技术分析引擎 (technical_analysis.py) - 双维度策略评估 (strategy_evaluator.py) - 实时行情获取 (get_realtime_prices.py) - Web Dashboard (server.py, :8899) 提示词版本管理： - prompt_manager 模块 — 统一管理所有知微提示词 - 8个提示词共24个版本已录入 - 策略→提示词版本关联追踪 - Dashboard「提示词」Tab 数据源增强： - 服务端 POST /api/update/realtime 端点已就绪 - clients/tdx-relay/ — 小小莫在Windows上开发的通达信中继 - 解决港股15分钟延迟问题
106 lines
3.8 KiB
Python
106 lines
3.8 KiB
Python
#!/usr/bin/env python3
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"""market_watch.py — 行業熱點 + 市場洞察數據採集，寫入 dashboard data/market.json"""
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import json
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import urllib.request
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from datetime import datetime
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from pathlib import Path
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DATA_DIR = Path(__file__).parent / "data"
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# ── 後端A：東方財富 push2 API（首選） ──
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def _fetch_em(url):
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"""通用 EM API 請求"""
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req = urllib.request.Request(url, headers={"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"})
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resp = urllib.request.urlopen(req, timeout=10)
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return json.loads(resp.read().decode("utf-8"))
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def fetch_sector_em():
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"""東方財富行業板塊"""
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try:
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data = _fetch_em("https://push2.eastmoney.com/api/qt/clist/get?pn=1&pz=15&po=1&np=1&fields=f2,f3,f4,f12,f14&fs=m:90+t:2")
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return [{"name": i["f14"], "code": i["f12"], "price": i.get("f2", 0), "change": i.get("f3", 0)}
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for i in data.get("data", {}).get("diff", [])]
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except Exception as e:
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return None
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def fetch_concept_em():
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"""東方財富概念板塊"""
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try:
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data = _fetch_em("https://push2.eastmoney.com/api/qt/clist/get?pn=1&pz=10&po=1&np=1&fields=f2,f3,f4,f12,f14&fs=m:90+t:3")
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return [{"name": i["f14"], "code": i["f12"], "change": i.get("f3", 0)}
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for i in data.get("data", {}).get("diff", [])]
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except Exception as e:
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return None
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# ── 後端B：同花順 THS（降級） ──
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def fetch_sector_ths():
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"""THS 行業板塊（含漲跌家數、資金流向）"""
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try:
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import akshare as ak
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df = ak.stock_board_industry_summary_ths()
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return [{
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"name": r["板块"], "code": "", "price": 0,
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"change": float(r.get("涨跌幅", 0)),
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"up_count": int(r.get("上涨家数", 0)),
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"down_count": int(r.get("下跌家数", 0)),
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"net_inflow": float(r.get("净流入", 0)),
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} for _, r in df.iterrows()]
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except Exception as e:
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print(f"⚠️ THS行業失敗: {e}")
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return []
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def fetch_concept_ths():
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"""THS 概念板塊（僅名稱，無實時漲跌）"""
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try:
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import akshare as ak
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df = ak.stock_board_concept_name_ths()
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return [{"name": r["name"], "code": str(r["code"]), "change": 0}
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for _, r in df.head(15).iterrows()]
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except Exception as e:
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print(f"⚠️ THS概念失敗: {e}")
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return []
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# ── 主流程 ──
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def get_market_mood(sectors):
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if not sectors:
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return "unknown"
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ratio = sum(1 for s in sectors if s.get("change", 0) > 0) / len(sectors)
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return "bullish" if ratio > 0.7 else "neutral" if ratio > 0.4 else "bearish"
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def main():
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sectors = fetch_sector_em()
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if sectors is None:
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sectors = fetch_sector_ths()
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concepts = fetch_concept_em()
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if concepts is None:
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concepts = fetch_concept_ths()
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sorted_sectors = sorted(sectors, key=lambda s: s.get("change", 0), reverse=True)
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top_gainers = [s for s in sorted_sectors if s.get("change", 0) > 0][:5]
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top_losers = [s for s in reversed(sorted_sectors) if s.get("change", 0) < 0][:3]
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market_data = {
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"timestamp": datetime.now().strftime("%Y-%m-%d %H:%M"),
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"total_sectors": len(sectors),
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"up_ratio": round(sum(1 for s in sectors if s.get("change", 0) > 0) / max(len(sectors), 1) * 100, 1),
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"mood": get_market_mood(sectors),
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"top_gainers": top_gainers,
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"top_losers": top_losers,
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"sectors": sectors,
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"concepts": concepts,
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}
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DATA_DIR.mkdir(parents=True, exist_ok=True)
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with open(DATA_DIR / "market.json", "w", encoding="utf-8") as f:
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json.dump(market_data, f, ensure_ascii=False, indent=2)
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# 安静：数据只写文件，不打印到stdout，避免cron输出被推送
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if __name__ == "__main__":
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main()
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