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   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2025-01-16T07:57:04.498115Z",
     "start_time": "2025-01-16T07:57:00.401734Z"
    }
   },
   "source": [
    "import pandas as pd\n",
    "import loader as ld\n",
    "\n",
    "source_finance_df = ld.load_finance()\n",
    "finance_df = pd.DataFrame()\n",
    "finance_df[[\n",
    "    \"code\",\n",
    "    # 年份\n",
    "    \"year\",\n",
    "    # 股东权益合计（含少数股东权益）\n",
    "    \"total_stockholder_interest\",\n",
    "    # 净利润\n",
    "    \"net_income\",\n",
    "    # 总资产\n",
    "    \"total_assets\",\n",
    "    # 营业总收入\n",
    "    \"total_revenue\",\n",
    "    # 存货\n",
    "    \"inventories\",\n",
    "    # 应收账款\n",
    "    \"accounts_receivable\",\n",
    "    # 营业成本\n",
    "    \"operating_costs\",\n",
    "    # 营业利润\n",
    "    \"operating_profit\",\n",
    "    # 现金与现金等价物\n",
    "    \"cash\",\n",
    "    # 营业活动现金流量净值\n",
    "    \"operating_net_cash_flow\",\n",
    "]] = source_finance_df[[\n",
    "    \"ts_code\",\n",
    "    \"end_date\",\n",
    "    \"total_hldr_eqy_inc_min_int\",\n",
    "    \"n_income\",\n",
    "    \"total_assets\",\n",
    "    \"total_revenue\",\n",
    "    \"inventories\",\n",
    "    \"accounts_receiv\",\n",
    "    \"oper_cost\",\n",
    "    \"operate_profit\",\n",
    "    \"money_cap\",\n",
    "    \"n_cashflow_act\",\n",
    "]]"
   ],
   "outputs": [],
   "execution_count": 1
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-01-16T07:57:04.552251Z",
     "start_time": "2025-01-16T07:57:04.499999Z"
    }
   },
   "cell_type": "code",
   "source": [
    "from strategy import PeriodSelector\n",
    "\n",
    "filter_df = finance_df[(2010 < finance_df[\"year\"]) & (finance_df[\"year\"] < 2025)]\n",
    "codes = filter_df[\"code\"].unique().tolist()\n",
    "print(len(codes))\n",
    "codes = PeriodSelector().select(codes, filter_df)\n",
    "print(len(codes))"
   ],
   "id": "26539ccd8ce0fb9e",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5715\n",
      "4892\n"
     ]
    }
   ],
   "execution_count": 2
  }
 ],
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