{ "cells": [ { "cell_type": "markdown", "id": "ae533fe9-e20e-4e44-b9bb-030c4fa4e714", "metadata": {}, "source": [ "## 体测人员导入" ] }, { "cell_type": "code", "execution_count": 12, "id": "1144aaac-92a0-4bcf-aba7-096f7dd3ad3b", "metadata": { "execution": { "iopub.execute_input": "2022-10-24T01:23:19.812476Z", "iopub.status.busy": "2022-10-24T01:23:19.811935Z", "iopub.status.idle": "2022-10-24T01:23:21.182395Z", "shell.execute_reply": "2022-10-24T01:23:21.180972Z", "shell.execute_reply.started": "2022-10-24T01:23:19.812426Z" }, "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 = int(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": "markdown", "id": "5e648b69-40bf-4494-9079-e4e2b6ab8866", "metadata": {}, "source": [ "## 获取人员测试成绩" ] }, { "cell_type": "code", "execution_count": 10, "id": "a57ebb22-543c-4804-8d44-89984058ec1d", "metadata": { "execution": { "iopub.execute_input": "2022-10-24T01:21:48.803009Z", "iopub.status.busy": "2022-10-24T01:21:48.802465Z", "iopub.status.idle": "2022-10-24T01:21:48.864714Z", "shell.execute_reply": "2022-10-24T01:21:48.863863Z", "shell.execute_reply.started": "2022-10-24T01:21:48.802959Z" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ok\n" ] } ], "source": [ "import json\n", "import time\n", "import csv\n", "\n", "filename = '../item.json'\n", "item = {}\n", "unit = {}\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for k,v in dict1.items():\n", " item[k] = v\n", "#SQL语句为：\n", "# SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name FROM places_result AS a,_zgshhgxs AS b WHERE a.place_id=135 AND a.avatar_id=b.id AND a.avatar_id < 4999\n", "\n", "re_ta = {}\n", "dict1 = {}\n", "list1 = []\n", "#print(\"\\n运动项目信息：\")\n", "filename = 'data/134_221021.csv'\n", "with open(filename,'r',newline='') as csv_file:\n", " fl = csv.reader(csv_file,delimiter=',')\n", " header = next(fl) \n", " for line in fl:\n", " #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n", " list1.append(line)\n", "#print(list1)\n", "for result in list1:\n", " user = str(result[4])\n", " m_item = str(result[0]) \n", " re_ta.setdefault(user,{}) \n", " re_ta[user]['name'] = str(result[6])\n", " re_ta[user]['unit'] = str(result[5]) \n", " item_name = item[m_item]['name']\n", " re_ta[user].setdefault(item_name,{}) \n", " score = int(result[1])/item[m_item]['divisor'] \n", " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", " re_ta[user][item_name]['得分'] =result[2]\n", "filename = 'data/result_天津.json'\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl) \n", "print('ok')" ] }, { "cell_type": "markdown", "id": "55d961e5-a512-44b2-808e-7c55d7000d52", "metadata": {}, "source": [ "## 导出测试成绩" ] }, { "cell_type": "code", "execution_count": 15, "id": "38397ad4-2bb3-4b5e-8ece-9ea11e801890", "metadata": { "execution": { "iopub.execute_input": "2022-10-24T01:28:35.781995Z", "iopub.status.busy": "2022-10-24T01:28:35.781432Z", "iopub.status.idle": "2022-10-24T01:28:36.097993Z", "shell.execute_reply": "2022-10-24T01:28:36.097009Z", "shell.execute_reply.started": "2022-10-24T01:28:35.781947Z" }, "tags": [] }, "outputs": [], "source": [ "import json\n", "import openpyxl\n", "\n", "items = ['身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']\n", "title = ['编号','姓名','性别','单位/部门','车间/科室','身高','','体重','','肺活量','','握力','','坐位体前屈','','纵跳','','俯卧撑','','一分钟仰卧起坐','','单脚站立','','选择反应时','','台阶指数']\n", "filename = 'data/result_天津.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "filename = 'data/天津石化人员名单.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl)\n", " \n", "list1 = []\n", "for k, v in dict1.items():\n", " list2 = []\n", " list2.append(str(k).rjust(8,'0'))\n", " list2.append(v['name']) \n", " list2.append(dict2[k]['sex'])\n", " list2.append(dict2[k]['unit'])\n", " list2.append(dict2[k]['sub_unit'])\n", " \n", " for item in items:\n", " if item in v.keys():\n", " list2.append(v[item]['成绩'])\n", " list2.append(v[item]['得分'])\n", " elif item =='name':\n", " list2.append(v[item])\n", " else:\n", " list2.append('') \n", " list2.append('') \n", " list1.append(list2)\n", "filename = 'data/天津石化得分情况表.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "sheet.append(title)\n", "for row in list1:\n", " sheet.append(row)\n", " \n", "wb.save(filename)" ] }, { "cell_type": "code", "execution_count": null, "id": "92ff6604-e754-4d74-9114-9df466a64e9f", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.10" } }, "nbformat": 4, "nbformat_minor": 5 }