feat: 修复daily历史覆盖度缺口+增加覆盖度校验

- 新增 repair_daily_backfill.py：按daily_basic基准检测并补拉覆盖不足交易日
  （解决2012-2013沪市+创业板整年缺失问题，断点续传日期级检测无法发现）
- importer.py: 新增 check_daily_coverage() 覆盖度审计函数
- incremental_import.py: 增量导入后自动跑覆盖度校验并告警
- 数据批量导入.ipynb: 增加数据完整性检验单元格

quantitative_data/数据批量导入.ipynb

@@ -720,6 +720,68 @@
     "display(df3[['ts_code', 'name', 'industry', 'roe', 'roa', 'eps', 'debt_to_assets']])\n",
     "conn.close()"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "## 数据完整性检验（覆盖度审计）\n",
+    "\n",
+    "> **背景**：2026-08-26 审计发现 daily 表 2012-2013 年存在覆盖度缺口（沪市+创业板整年缺失），\n",
+    "> 而断点续传的\"日期级\"检测（`NOT EXISTS trade_date`）无法发现这种\"日期存在但覆盖不全\"的问题。\n",
+    "> 本单元格做**覆盖度级**校验：以 `daily_basic` 当日股票数为基准，检查 `daily` 是否缺股。\n",
+    ">\n",
+    "> 运行 `repair_daily_backfill.py` 可自动补拉覆盖不足的交易日。\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# ============================================================\n",
+    "# 数据完整性检验：daily vs daily_basic 每日覆盖度审计\n",
+    "# 判据：daily 当日股票数 < daily_basic 当日股票数 × 95% → 覆盖不足\n",
+    "# ============================================================\n",
+    "import importlib\n",
+    "import importer\n",
+    "importlib.reload(importer)\n",
+    "from importer import get_pg_connection, check_daily_coverage, check_table_summary\n",
+    "\n",
+    "conn = get_pg_connection()\n",
+    "\n",
+    "# 1) 各表整体概览（行数 / 股票数 / 日期范围）\n",
+    "print('=' * 60)\n",
+    "print('各表整体概览:')\n",
+    "print('=' * 60)\n",
+    "check_table_summary(conn=conn)\n",
+    "\n",
+    "# 2) 全历史覆盖度审计（默认容差 5%）\n",
+    "print('\\n' + '=' * 60)\n",
+    "print('覆盖度审计: daily vs daily_basic (容差 5%)')\n",
+    "print('=' * 60)\n",
+    "from datetime import date\n",
+    "end_date = date.today().strftime('%Y-%m-%d')\n",
+    "partial = check_daily_coverage(start_date='2010-01-01', end_date=end_date, conn=conn, tolerance=0.05)\n",
+    "\n",
+    "if partial:\n",
+    "    print(f'⚠ 发现 {len(partial)} 个交易日覆盖不足:')\n",
+    "    # 按年份汇总\n",
+    "    from collections import Counter\n",
+    "    years = Counter(p['trade_date'][:4] for p in partial)\n",
+    "    for y in sorted(years):\n",
+    "        print(f'  {y} 年: {years[y]} 个交易日覆盖不足')\n",
+    "    print('\\n样例（前10条）:')\n",
+    "    for p in partial[:10]:\n",
+    "        print(f\"  {p['trade_date']}: daily={p['daily_cnt']} vs daily_basic={p['daily_basic_cnt']} ({p['coverage_pct']}%)\")\n",
+    "    print('\\n→ 修复方法: 运行 python3 repair_daily_backfill.py 补拉')\n",
+    "else:\n",
+    "    print('✅ 覆盖度正常，无缺失交易日')\n",
+    "\n",
+    "conn.close()\n"
+   ]
   }
  ],
  "metadata": {