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  {
   "cell_type": "markdown",
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   "source": [
    "## 体测人员导入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1144aaac-92a0-4bcf-aba7-096f7dd3ad3b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-10-15T14:33:57.992886Z",
     "iopub.status.busy": "2022-10-15T14:33:57.992353Z",
     "iopub.status.idle": "2022-10-15T14:33:59.266279Z",
     "shell.execute_reply": "2022-10-15T14:33:59.265333Z",
     "shell.execute_reply.started": "2022-10-15T14:33:57.992838Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ok\n"
     ]
    }
   ],
   "source": [
    "import openpyxl\n",
    "import json\n",
    "\n",
    "\n",
    "wb = openpyxl.load_workbook('data/天津石化员工检测花名册 （20221014）.xlsx')\n",
    "sheet = wb.active\n",
    "# sheets = wb.sheetnames\n",
    "person = {}\n",
    "\n",
    "for n in range(2, sheet.max_row+1):\n",
    "    code = sheet.cell(n, 6).value\n",
    "    person.setdefault(code, {})\n",
    "    dict1 = {}\n",
    "    dict1['name'] = sheet.cell(n, 3).value\n",
    "    dict1['sex'] = sheet.cell(n, 4).value\n",
    "    dict1['unit'] = sheet.cell(n, 1).value\n",
    "    dict1['sub_unit'] = sheet.cell(n, 2).value\n",
    "    dict1['id_num'] = sheet.cell(n,5).value\n",
    "    person[code] = dict1\n",
    "filename = 'data/天津石化人员名单.json'\n",
    "with open(filename, 'w') as fl:\n",
    "    json.dump(person, fl, ensure_ascii=False)\n",
    "print('ok')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bf980970-b95f-47f3-a93d-55a659f52471",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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