MoFin/scripts/import_holding_xls.py

#!/usr/bin/env python3
"""
import_holding_xls.py — 从 holding.xls 导入持仓到全系统

用法：
  python3 import_holding_xls.py [--cash 现金] [--total 总资产] [--mv 市值]

不传 --total/--mv 则从 holding.xls 计算（可能有价格时差误差）。
建议传截图上的真实数字。

示例：
  python3 import_holding_xls.py --cash 20230.10 --total 1008860.62 --mv 988512.96
"""
import csv, json, sys, subprocess, sqlite3, os
from datetime import datetime

STOCKS_FILE = "/home/hmo/stocks/holding.xls"
PORTFOLIO_PATH = "/home/hmo/web-dashboard/data/portfolio.json"
DB_PATH = "/home/hmo/web-dashboard/data/mofin.db"


def clean_cell(v):
    v = v.strip()
    if v.startswith('="') and v.endswith('"'):
        v = v[2:-1]
    elif v.startswith('='):
        v = v[1:]
    return v.strip()


def main():
    # Parse args
    cash = 20230.10
    total_assets = 0
    market_value = 0
    
    args = sys.argv[1:]
    for i, a in enumerate(args):
        if a == '--cash' and i + 1 < len(args):
            cash = float(args[i + 1])
        elif a == '--total' and i + 1 < len(args):
            total_assets = float(args[i + 1])
        elif a == '--mv' and i + 1 < len(args):
            market_value = float(args[i + 1])

    with open(STOCKS_FILE, 'r', encoding='gbk') as f:
        reader = csv.reader(f, delimiter='\t')
        rows = list(reader)

    print(f"读取 {STOCKS_FILE}: {len(rows)-1} 条记录")

    holdings = []
    total_mv_cny = 0

    for r in rows[1:]:
        code = clean_cell(r[0])
        name = r[1].strip()
        shares = int(clean_cell(r[2]))
        price_raw = r[4].strip()
        currency = 'HKD' if '港币' in price_raw or '港' in r[10] else 'CNY'
        price_str = price_raw.replace('港币', '').replace('港元', '').replace('港', '').strip()
        price = float(price_str)
        cost_price = float(clean_cell(r[5]))
        pl = float(clean_cell(r[6])) if r[6].strip() else 0
        mkt_val = float(clean_cell(r[11]))
        cost_amount = float(clean_cell(r[15])) if r[15].strip() and r[15].strip() != '--' else 0
        rate_str = clean_cell(r[16])
        rate = float(rate_str) if rate_str and rate_str != '--' else 0.8664
        mv_cny = mkt_val if currency == 'CNY' else mkt_val * rate
        total_mv_cny += mv_cny

        holdings.append({
            'code': code, 'name': name, 'shares': shares,
            'price': price, 'cost_price': round(cost_price, 2),
            'currency': currency, 'market_val': mkt_val,
            'cost_amount': cost_amount, 'exchange_rate': rate,
        })

    # Use provided values or calculate
    if total_assets <= 0:
        total_assets = total_mv_cny + cash
    if market_value <= 0:
        market_value = round(total_mv_cny, 2)
    
    position_pct = round(market_value / total_assets * 100, 2) if total_assets > 0 else 0

    # Step 1: Update SQLite (regenerate_all reads from here)
    print("\n→ 更新 SQLite holdings 表...")
    conn = sqlite3.connect(DB_PATH)
    c = conn.cursor()
    c.execute('DELETE FROM holdings')
    c.execute('DELETE FROM portfolio_summary')
    for h in holdings:
        c.execute('''
            INSERT INTO holdings (code, name, shares, cost, position_pct, added_at, is_active)
            VALUES (?, ?, ?, ?, ?, ?, 1)
        ''', (h['code'], h['name'], h['shares'], h['cost_price'],
              round(h['market_val'] / total_assets * 100, 2),
              datetime.now().strftime('%Y-%m-%d')))
    c.execute('''
        INSERT INTO portfolio_summary (total_assets, stock_value, cash, position_pct, total_pnl, updated_at)
        VALUES (?, ?, ?, ?, ?, ?)
    ''', (round(total_assets, 2), round(market_value, 2), cash,
          position_pct, 0, datetime.now().strftime('%Y-%m-%d %H:%M')))
    conn.commit()
    conn.close()
    print(f"  OK - {len(holdings)} 只持仓")

    # Step 2: Run full reassessment (reads SQLite, writes decisions.json + portfolio.json)
    print("\n→ 全量策略重评...")
    subprocess.run(
        ["python3", "/home/hmo/.hermes/profiles/position-analyst/scripts/per_stock_reassess.py"],
        capture_output=True, text=True, timeout=120
    )
    print(f"  完成")

    # Step 3: Overwrite portfolio.json with correct aggregate numbers
    # (regenerate_all writes its own format, we fix it back)
    print("\n→ 修正 portfolio.json 汇总数据...")
    portfolio = {
        'holdings': holdings,
        'cash': cash,
        'total_market_value': market_value,
        'total_assets': round(total_assets, 2),
        'total_pl': 0,
        'position_pct': position_pct,
        'updated_at': datetime.now().strftime('%Y-%m-%d %H:%M'),
        'source': STOCKS_FILE,
    }
    with open(PORTFOLIO_PATH, 'w') as f:
        json.dump(portfolio, f, indent=2, ensure_ascii=False)

    # Step 4: Rebuild decision trees
    print("\n→ 重建决策树...")
    sys.path.insert(0, '/home/hmo/web-dashboard')
    from strategy_tree import init_default_branches
    with open('/home/hmo/web-dashboard/data/decisions.json') as f:
        data = json.load(f)
    ok = 0
    for e in data.get('decisions', []):
        branches = init_default_branches(
            e.get('code', ''), e.get('name', ''),
            e.get('entry_low', 0), e.get('entry_high', 0),
            e.get('stop_loss', 0), e.get('take_profit', 0))
        e['strategy_tree'] = {'branches': branches, 'created_at': datetime.now().strftime('%Y-%m-%d')}
        ok += 1
    with open('/home/hmo/web-dashboard/data/decisions.json', 'w') as f:
        json.dump(data, f, indent=2, ensure_ascii=False)

    print(f"\n{'='*50}")
    print(f"导入完成：{len(holdings)}只持仓")
    print(f"总资产: {round(total_assets):,.0f}元")
    print(f"市值: {market_value:,.0f}元")
    print(f"现金: {cash:,.0f}元")
    print(f"仓位: {position_pct}%")
    print(f"决策树: {ok}/{len(data.get('decisions',[]))}")


if __name__ == '__main__':
    main()