96 lines
3.2 KiB
Python
96 lines
3.2 KiB
Python
"""收盘后全面数据审计"""
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import sys, sqlite3
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sys.path.insert(0, '/home/hmo/MoFin')
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from mo_models import is_hk_stock, get_hk_rate, calc_total_assets, calc_total_mv, calc_position_pct
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from mo_data import read_portfolio, read_decisions, read_watchlist
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pf = read_portfolio()
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dec = read_decisions()
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wl = read_watchlist()
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rate = get_hk_rate()
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print(f"HK_RATE: {rate}")
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print()
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# ── 1. 持仓数据审计 ──
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print("=== 持仓 Holdings ===")
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errors = []
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hk_cny_issues = []
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total_mv = 0
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total_cost = 0
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for h in pf.get('holdings', []):
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code = str(h.get('code', ''))
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name = h.get('name', '?')
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cost = h.get('cost') or 0
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price = h.get('price') or 0
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shares = h.get('shares') or 0
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curr = h.get('currency', h.get('_currency', '?'))
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mv = price * shares
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total_mv += mv
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total_cost += cost * shares
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is_hk = is_hk_stock(code)
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flag = 'HK' if is_hk else 'A '
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# 检查币种:港股应为 HKD,A股应为 CNY
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if is_hk and curr != 'HKD':
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hk_cny_issues.append(f"{code} {name}: currency={curr} (应为HKD)")
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if not is_hk and curr != 'CNY':
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hk_cny_issues.append(f"{code} {name}: currency={curr} (应为CNY)")
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# 检查 cost=0 的股票
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if cost <= 0 and shares > 0:
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errors.append(f"{code} {name}: cost=0 但持仓{shares}股")
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pnl_pct = (price - cost) / cost * 100 if cost > 0 else 0
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print(f" [{flag}] {code} {name}: cost={cost:.2f} price={price:.2f} shares={shares} mv={mv:.0f} pnl={pnl_pct:+.1f}% curr={curr}")
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total_pnl = total_mv - total_cost
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print(f"\n total_mv={total_mv:.2f} total_cost={total_cost:.2f} total_pnl={total_pnl:.2f}")
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# ── 2. 汇总数据审计 ──
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print("\n=== Portfolio Summary ===")
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print(f" stored total_assets: {pf.get('total_assets')}")
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print(f" stored total_mv: {pf.get('total_mv')}")
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print(f" stored cash: {pf.get('cash')}")
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print(f" stored frozen_cash: {pf.get('frozen_cash')}")
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print(f" stored total_pnl: {pf.get('total_pnl')}")
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# 用 mo_models 计算(已处理 HKD→CNY)
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calc_ta = calc_total_assets(pf)
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calc_mv = calc_total_mv(pf.get('holdings', []))
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print(f" calculated total_mv (CNY): {calc_mv:.2f}")
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print(f" calculated total_assets (CNY): {calc_ta:.2f}")
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if abs((pf.get('total_assets') or 0) - calc_ta) > 1:
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errors.append(f"total_assets mismatch: stored={pf.get('total_assets')} vs calc={calc_ta:.2f}")
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# ── 3. 决策数据审计 ──
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print("\n=== Decisions ===")
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cnys = 0
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hkds = 0
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none_curr = 0
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for d in dec.get('decisions', []):
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c = d.get('currency', '')
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code = d.get('code', '')
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if c == 'CNY': cnys += 1
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elif c == 'HKD': hkds += 1
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else: none_curr += 1
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# 港股应标 HKD,A 股应标 CNY
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if is_hk_stock(str(code)) and c != 'HKD':
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errors.append(f"决策 {code} currency={c} (应为HKD)")
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elif not is_hk_stock(str(code)) and c != 'CNY':
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errors.append(f"决策 {code} currency={c} (应为CNY)")
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# ── 4. 错误汇总 ──
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print(f"\n{'='*40}")
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if hk_cny_issues:
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print("HK币种问题:")
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for i in hk_cny_issues: print(f" ❌ {i}")
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if errors:
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print("其他问题:")
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for e in errors: print(f" ❌ {e}")
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if not hk_cny_issues and not errors:
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print("✅ 数据审计全部通过")
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