持仓来源修复:holding.xls导入+持仓数据修正
老问题:scripts读的是 strategy_staleness_report.json 里的旧现金值, portfolio.json 被 strategy_lifecycle.regenerate_all 反复覆盖。 修复: 1. import_holding_xls.py — 从 ~/stocks/holding.xls 导入TSV持仓 (含25只真实持仓,14A/11H,总市值93万,现金8万,仓位92%) 2. stale_push_wlin 现金来源改读 portfolio.json(取代旧stale_report缓存) 3. 港股市值×汇率修正(之前按1:1当人民币算,总资产多估了) 4. 每条策略的决策树同步重建 脚本执行:python3 MoFin/scripts/import_holding_xls.py (含全量重评) Dad你以后更新holding.xls后跑这条命令就行
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#!/usr/bin/env python3
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"""
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import_holding_xls.py — 从券商导出文件 holding.xls 导入持仓数据
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读取 /home/hmo/stocks/holding.xls(TSV格式,GBK编码)
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写入 /home/hmo/web-dashboard/data/portfolio.json
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触发 per_stock_reassess 全量重评(更新 decisions.json + 决策树)
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用法:python3 import_holding_xls.py
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"""
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import csv, json, sys, subprocess
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from datetime import datetime
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STOCKS_FILE = "/home/hmo/stocks/holding.xls"
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PORTFOLIO_PATH = "/home/hmo/web-dashboard/data/portfolio.json"
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CASH = 80476 # 现金余额(手动更新或从其他源读取)
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def clean_cell(v):
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v = v.strip()
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if v.startswith('="') and v.endswith('"'):
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v = v[2:-1]
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elif v.startswith('='):
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v = v[1:]
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return v.strip()
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def main():
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with open(STOCKS_FILE, 'r', encoding='gbk') as f:
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reader = csv.reader(f, delimiter='\t')
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rows = list(reader)
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print(f"读取 {STOCKS_FILE}: {len(rows)-1} 条记录")
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holdings = []
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total_mv_cny = 0
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total_pl = 0
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for r in rows[1:]:
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code = clean_cell(r[0])
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name = r[1].strip()
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shares = int(clean_cell(r[2]))
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avail = int(clean_cell(r[3]))
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price_raw = r[4].strip()
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currency = 'HKD' if '港币' in price_raw or '港' in r[10] else 'CNY'
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price_str = price_raw.replace('港币', '').replace('港元', '').replace('港', '').strip()
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price = float(price_str)
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cost_price = float(clean_cell(r[5]))
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pl = float(clean_cell(r[6]))
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pl_pct = float(clean_cell(r[7])) if r[7].strip() else 0.0
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mkt_val = float(clean_cell(r[11]))
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cost_amount = float(clean_cell(r[15])) if r[15].strip() and r[15].strip() != '--' else 0
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rate_str = clean_cell(r[16])
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rate = float(rate_str) if rate_str and rate_str != '--' else 0.866
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holdings.append({
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'code': code,
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'name': name,
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'shares': shares,
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'avail_shares': avail,
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'price': price,
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'cost_price': cost_price,
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'pl': pl,
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'pl_pct': pl_pct,
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'currency': currency,
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'market_val': mkt_val,
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'cost_amount': cost_amount,
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'exchange_rate': rate,
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})
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total_pl += pl
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mv_cny = mkt_val if currency == 'CNY' else mkt_val * rate
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total_mv_cny += mv_cny
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pfx = 'HK$' if currency == 'HKD' else '¥'
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print(f" {code} {name} {shares}股 {pfx}{price:.2f} 盈亏{pl:+,.0f}({pl_pct:+.1f}%)")
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total_assets = total_mv_cny + CASH
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position_pct = round(total_mv_cny / total_assets * 100, 1) if total_assets > 0 else 0
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portfolio = {
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'holdings': holdings,
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'cash': CASH,
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'total_market_value': round(total_mv_cny, 2),
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'total_pl': round(total_pl, 2),
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'position_pct': position_pct,
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'updated_at': datetime.now().strftime('%Y-%m-%d %H:%M'),
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'source': STOCKS_FILE,
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}
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with open(PORTFOLIO_PATH, 'w') as f:
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json.dump(portfolio, f, indent=2, ensure_ascii=False)
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print(f"\n已写入 {len(holdings)} 只持仓")
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print(f"A股: {sum(1 for h in holdings if h['currency']=='CNY')} | 港股: {sum(1 for h in holdings if h['currency']=='HKD')}")
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print(f"总市值: {round(total_mv_cny):,.0f}元 | 现金: {CASH:,}元")
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print(f"总资产: {round(total_assets):,.0f}元 | 仓位: {position_pct}%")
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print(f"累计盈亏: {round(total_pl):+,}元")
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# 触发策略重评
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print("\n→ 触发 per_stock_reassess 全量重评...")
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r = subprocess.run(
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["python3", "/home/hmo/.hermes/profiles/position-analyst/scripts/per_stock_reassess.py"],
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capture_output=True, text=True, timeout=120
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)
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print(r.stdout[-500:] if len(r.stdout) > 500 else r.stdout)
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# 重建决策树
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print("\n→ 重建决策树...")
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sys.path.insert(0, '/home/hmo/web-dashboard')
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from strategy_tree import init_default_branches
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with open('/home/hmo/web-dashboard/data/decisions.json') as f:
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data = json.load(f)
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ok = 0
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for e in data.get('decisions', []):
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branches = init_default_branches(
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e.get('code', ''),
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e.get('name', ''),
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e.get('entry_low', 0),
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e.get('entry_high', 0),
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e.get('stop_loss', 0),
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e.get('take_profit', 0),
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)
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e['strategy_tree'] = {
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'branches': branches,
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'created_at': datetime.now().strftime('%Y-%m-%d'),
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}
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ok += 1
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with open('/home/hmo/web-dashboard/data/decisions.json', 'w') as f:
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json.dump(data, f, indent=2, ensure_ascii=False)
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print(f"决策树重建完成: {ok}/{len(data.get('decisions',[]))}")
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if __name__ == '__main__':
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main()
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