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import_holding_xls: 支持截图真实数字覆盖

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regenerate_all 会覆盖 portfolio.json，所以导入流程改为：
1. 先更新 SQLite holdings 表
2. 再跑 regenerate_all（读 SQLite，写 decisions+portfolio）
3. 然后用真实数字覆盖 portfolio.json 汇总字段
4. 重建决策树

支持 --cash --total --mv 传入截图真实数字
用法：python3 import_holding_xls.py --cash 20230 --total 1008860 --mv 988512
This commit is contained in:
知微
2026-06-24 11:29:53 +08:00
parent e2646c36cb
commit eb294f05a5
5 changed files with 1135 additions and 938 deletions
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data/decisions.json
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data/multi_tf_cache.json
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@@ -1281,7 +1281,7 @@
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data/portfolio.json
+77 -173
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@@ -4,144 +4,107 @@
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@@ -151,232 +114,173 @@
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"price": 22.68,
"cost_price": 27.178,
"pl": -1759.2,
"pl_pct": -16.18,
"price": 22.78,
"cost_price": 27.18,
"currency": "CNY",
"market_val": 9112.0,
"cost_amount": 10871.2,
"exchange_rate": 0.866,
"change_pct": -3.98
"exchange_rate": 0.8664
}
],
"cash": 80476,
"total_market_value": 930199.93,
"total_pl": -164810.3,
"position_pct": 92.0,
"updated_at": "2026-06-24 11:47",
"source": "/home/hmo/stocks/holding.xls",
"total_assets": 1010675.93
"cash": 20230.1,
"total_market_value": 988512.96,
"total_assets": 1008860.62,
"total_pl": -164895.4,
"position_pct": 97.98,
"updated_at": "2026-06-24 11:29",
"source": "/home/hmo/stocks/holding.xls + 截图校核"
}
data/price_history.json
+46 -46
View File
@@ -108,7 +108,7 @@
"date": "2026-06-24",
"high": 88.32,
"low": 82.78,
"close": 82.79
"close": 83.0
}
],
"00700": [
@@ -164,7 +164,7 @@
"date": "2026-06-24",
"high": 432.4,
"low": 412.6,
"close": 421.6
"close": 418.8
}
],
"000700": [
@@ -220,7 +220,7 @@
"date": "2026-06-24",
"high": 15.6,
"low": 14.3,
"close": 14.59
"close": 14.65
}
],
"001309": [
@@ -276,7 +276,7 @@
"date": "2026-06-24",
"high": 816.0,
"low": 706.0,
"close": 794.11
"close": 793.0
}
],
"00968": [
@@ -332,7 +332,7 @@
"date": "2026-06-24",
"high": 2.26,
"low": 1.93,
"close": 2.0
"close": 1.99
}
],
"00981": [
@@ -388,7 +388,7 @@
"date": "2026-06-24",
"high": 84.9,
"low": 76.5,
"close": 83.15
"close": 83.5
}
],
"01070": [
@@ -444,7 +444,7 @@
"date": "2026-06-24",
"high": 13.47,
"low": 12.55,
"close": 13.08
"close": 13.1
}
],
"01088": [
@@ -500,7 +500,7 @@
"date": "2026-06-24",
"high": 43.14,
"low": 41.26,
"close": 41.8
"close": 41.72
}
],
"01211": [
@@ -556,7 +556,7 @@
"date": "2026-06-24",
"high": 78.3,
"low": 74.3,
"close": 75.05
"close": 74.6
}
],
"01478": [
@@ -612,7 +612,7 @@
"date": "2026-06-24",
"high": 8.54,
"low": 7.51,
"close": 7.52
"close": 7.57
}
],
"01888": [
@@ -668,7 +668,7 @@
"date": "2026-06-24",
"high": 97.4,
"low": 83.7,
"close": 93.85
"close": 93.5
}
],
"02202": [
@@ -724,7 +724,7 @@
"date": "2026-06-24",
"high": 2.53,
"low": 2.32,
"close": 2.37
"close": 2.36
}
],
"02318": [
@@ -780,7 +780,7 @@
"date": "2026-06-24",
"high": 55.5,
"low": 52.3,
"close": 52.7
"close": 52.55
}
],
"02359": [
@@ -834,9 +834,9 @@
},
{
"date": "2026-06-24",
"high": 143.8,
"high": 145.0,
"low": 130.0,
"close": 143.8
"close": 144.6
}
],
"02388": [
@@ -892,7 +892,7 @@
"date": "2026-06-24",
"high": 47.86,
"low": 45.9,
"close": 46.16
"close": 46.26
}
],
"02628": [
@@ -948,7 +948,7 @@
"date": "2026-06-24",
"high": 30.56,
"low": 28.18,
"close": 28.38
"close": 28.22
}
],
"06160": [
@@ -1002,9 +1002,9 @@
},
{
"date": "2026-06-24",
"high": 168.5,
"high": 168.6,
"low": 160.0,
"close": 168.5
"close": 168.0
}
],
"06869": [
@@ -1059,8 +1059,8 @@
{
"date": "2026-06-24",
"high": 305.0,
"low": 253.4,
"close": 256.2
"low": 251.2,
"close": 256.0
}
],
"09868": [
@@ -1116,7 +1116,7 @@
"date": "2026-06-24",
"high": 52.3,
"low": 48.82,
"close": 50.25
"close": 49.98
}
],
"09988": [
@@ -1172,7 +1172,7 @@
"date": "2026-06-24",
"high": 103.4,
"low": 97.65,
"close": 98.65
"close": 98.4
}
],
"300035": [
@@ -1228,7 +1228,7 @@
"date": "2026-06-24",
"high": 17.1,
"low": 15.96,
"close": 16.03
"close": 16.1
}
],
"300124": [
@@ -1284,7 +1284,7 @@
"date": "2026-06-24",
"high": 68.8,
"low": 65.74,
"close": 66.01
"close": 66.37
}
],
"300548": [
@@ -1756,7 +1756,7 @@
"date": "2026-06-24",
"high": 309.6,
"low": 275.86,
"close": 276.92
"close": 277.4
}
],
"300750": [
@@ -1812,7 +1812,7 @@
"date": "2026-06-24",
"high": 414.04,
"low": 386.66,
"close": 390.67
"close": 393.18
}
],
"518880": [
@@ -1868,7 +1868,7 @@
"date": "2026-06-24",
"high": 8.674,
"low": 8.426,
"close": 8.439
"close": 8.442
}
],
"600036": [
@@ -1930,7 +1930,7 @@
"date": "2026-06-24",
"high": 38.19,
"low": 36.94,
"close": 37.04
"close": 37.03
}
],
"600110": [
@@ -2086,7 +2086,7 @@
"date": "2026-06-24",
"high": 11.0,
"low": 10.43,
"close": 10.43
"close": 10.46
}
],
"601899": [
@@ -2148,7 +2148,7 @@
"date": "2026-06-24",
"high": 30.0,
"low": 27.33,
"close": 27.41
"close": 27.48
}
],
"688411": [
@@ -2204,7 +2204,7 @@
"date": "2026-06-24",
"high": 285.98,
"low": 261.8,
"close": 264.75
"close": 265.9
}
],
"688639": [
@@ -2260,7 +2260,7 @@
"date": "2026-06-24",
"high": 22.47,
"low": 20.99,
"close": 21.35
"close": 21.41
}
],
"688795": [
@@ -2316,7 +2316,7 @@
"date": "2026-06-24",
"high": 745.2,
"low": 660.01,
"close": 679.95
"close": 685.4
}
],
"688802": [
@@ -2372,7 +2372,7 @@
"date": "2026-06-24",
"high": 808.0,
"low": 726.1,
"close": 736.12
"close": 744.0
}
],
"688981": [
@@ -2426,9 +2426,9 @@
},
{
"date": "2026-06-24",
"high": 153.0,
"high": 153.6,
"low": 139.6,
"close": 150.15
"close": 153.58
}
],
"000711": [
@@ -2466,7 +2466,7 @@
"date": "2026-06-24",
"high": 5.38,
"low": 4.86,
"close": 5.0
"close": 5.16
}
],
"688630": [
@@ -2496,9 +2496,9 @@
},
{
"date": "2026-06-24",
"high": 499.0,
"high": 500.0,
"low": 455.55,
"close": 493.7
"close": 499.5
}
],
"300690": [
@@ -2529,8 +2529,8 @@
{
"date": "2026-06-24",
"high": 24.39,
"low": 22.69,
"close": 22.7
"low": 22.68,
"close": 22.83
}
],
"000657": [
@@ -2550,7 +2550,7 @@
"date": "2026-06-24",
"high": 113.99,
"low": 94.79,
"close": 98.45
"close": 98.85
}
],
"300308": [
@@ -2570,7 +2570,7 @@
"date": "2026-06-24",
"high": 1395.0,
"low": 1296.0,
"close": 1300.0
"close": 1308.32
}
],
"600519": [
@@ -2590,7 +2590,7 @@
"date": "2026-06-24",
"high": 1264.0,
"low": 1209.11,
"close": 1215.18
"close": 1214.99
}
],
"601318": [
@@ -2610,7 +2610,7 @@
"date": "2026-06-24",
"high": 52.43,
"low": 49.03,
"close": 49.39
"close": 49.32
}
],
"002171": [
scripts/import_holding_xls.py
+74 -56
View File
@@ -1,16 +1,22 @@
#!/usr/bin/env python3
"""
import_holding_xls.py — 从holding.xls导入持仓到SQLite + portfolio.json
import_holding_xls.py — 从 holding.xls 导入持仓到全系统
用法：python3 import_holding_xls.py [--cash 现金金额]
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
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"
CASH = 80476 # default cash
def clean_cell(v):
@@ -24,10 +30,18 @@ def clean_cell(v):
def main():
# Parse args
global CASH
for i, a in enumerate(sys.argv[1:]):
if a == '--cash' and i + 2 < len(sys.argv):
CASH = float(sys.argv[i + 2])
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')
@@ -47,13 +61,11 @@ def main():
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]))
pl_pct = float(clean_cell(r[7])) if r[7].strip() else 0.0
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 0.866
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
@@ -64,17 +76,51 @@ def main():
'cost_amount': cost_amount, 'exchange_rate': rate,
})
pfx = 'HK$' if currency == 'HKD' else '￥'
print(f" {code} {name} {shares}股 {pfx}{price:.2f} 成本{cost_price:.2f} 盈亏{pl:+,.0f}({pl_pct:+.1f}%)")
# 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)
total_assets = total_mv_cny + CASH
position_pct = round(total_mv_cny / total_assets * 100, 2) if total_assets > 0 else 0
position_pct = round(market_value / total_assets * 100, 2) if total_assets > 0 else 0
# Write portfolio.json
# 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': round(total_mv_cny, 2),
'cash': cash,
'total_market_value': market_value,
'total_assets': round(total_assets, 2),
'total_pl': 0,
'position_pct': position_pct,
@@ -83,43 +129,8 @@ def main():
}
with open(PORTFOLIO_PATH, 'w') as f:
json.dump(portfolio, f, indent=2, ensure_ascii=False)
print(f" → {PORTFOLIO_PATH}")
# Write SQLite
conn = sqlite3.connect(DB_PATH)
c = conn.cursor()
c.execute('DELETE FROM holdings')
c.execute('DELETE FROM portfolio_summary')
for h in holdings:
pos_pct = round(h['market_val'] / total_assets * 100, 2) if total_assets > 0 else 0
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'], pos_pct,
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(total_mv_cny, 2), CASH, position_pct, 0,
datetime.now().strftime('%Y-%m-%d %H:%M')))
conn.commit()
conn.close()
print(f" → SQLite 已更新")
print(f"\n统计: {len(holdings)}只持仓 | "
f"总资产{round(total_assets):,.0f}元 | "
f"现金{CASH:,.0f}元 | "
f"仓位{position_pct}%")
# Trigger full reassessment
print("\n→ 触发 per_stock_reassess 全量重评...")
r = subprocess.run(
["python3", "/home/hmo/.hermes/profiles/position-analyst/scripts/per_stock_reassess.py"],
capture_output=True, text=True, timeout=120
)
print(r.stdout[-500:] if len(r.stdout) > 500 else r.stdout)
# Rebuild decision trees
# 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
@@ -135,7 +146,14 @@ def main():
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"决策树重建: {ok}/{len(data.get('decisions',[]))}")
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__':