352 lines
9.9 KiB
Plaintext
352 lines
9.9 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "a4aa8953-df5c-4389-a26b-254f4b07e8ff",
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"metadata": {},
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"source": [
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"## 导入人员信息"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a03a5289-9766-4a60-9d38-245deb2ee4e6",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"\n",
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"\n",
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"wb = openpyxl.load_workbook('data/天宫院体测人员名单.xlsx')\n",
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"sheet = wb.active\n",
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"# sheets = wb.sheetnames\n",
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"person = {}\n",
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"\n",
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"\n",
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"for n in range(2, sheet.max_row+1):\n",
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" if sheet.cell(n,1).value is not None:\n",
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" code = int(sheet.cell(n, 1).value)\n",
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" person.setdefault(code, {})\n",
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" dict1 = {}\n",
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" dict1['name'] = sheet.cell(n, 2).value\n",
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" \n",
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" if sheet.cell(n,4).value is not None:\n",
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" dict1['sex'] = sheet.cell(n,4).value\n",
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" else:\n",
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" dict1['sex'] = ''\n",
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" dict1['birth'] = sheet.cell(n, 3).value\n",
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" if sheet.cell(n,5).value is not None:\n",
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" dict1['phone'] = sheet.cell(n,5).value\n",
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"\n",
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" person[code] = dict1\n",
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"filename = 'data/天宫院社区人员名单.json'\n",
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"with open(filename, 'w') as fl:\n",
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" json.dump(person, fl, ensure_ascii=False)\n",
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"print('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6c1f6f1a-80cd-4451-a9ad-e706c4df9083",
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"metadata": {},
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"source": [
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"## 生成手工记录插入格式"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d7302951-5960-4686-808f-7e73aa66e025",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import openpyxl\n",
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"import json\n",
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"\n",
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"filename = 'data/天宫院社区人员名单.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"filename = 'data/天宫院手工记录成绩.xlsx'\n",
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"wb = openpyxl.load_workbook(filename)\n",
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"sheet = wb.active\n",
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"\n",
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"s = ''\n",
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"place = \"587256\"\n",
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"sql = []\n",
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"for n in range(2, sheet.max_row+1):\n",
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" if sheet.cell(n,1).value is not None:\n",
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" code = str(sheet.cell(n, 1).value)\n",
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" print(code)\n",
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" if dict1[code]['sex'] == '男':\n",
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" item = 5\n",
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" else:\n",
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" item = 9\n",
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" sj = '2023-04-20 22:00:00'\n",
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" s = f'({place},{code},{item},{sheet.cell(n, 7).value},\"2023-04-20\",0,\"{sj}\")'\n",
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" sql.append(s)\n",
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"s = ','.join(sql)\n",
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"print(s)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "be31057b-a543-4053-9209-307e9a8688c3",
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"metadata": {},
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"source": [
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"## 获取人员测试成绩"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "db39190f-47d4-4a7c-b727-c79e2a64452f",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import json\n",
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"import time\n",
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"import csv\n",
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"\n",
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"filename = '../item.json'\n",
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"item = {}\n",
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"unit = {}\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"for k,v in dict1.items():\n",
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" item[k] = v\n",
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"filename = 'data/天宫院社区人员名单.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"re_ta = {}\n",
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"dict2 = {}\n",
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"list1 = []\n",
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"#print(\"\\n运动项目信息：\")\n",
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"filename = 'data/places_result_20230422.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" for line in fl:\n",
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" #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
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" list1.append(line)\n",
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"#print(list1)\n",
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"for result in list1:\n",
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" user = str(result[2])\n",
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" if user in dict1.keys():\n",
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" \n",
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" m_item = str(result[3]) \n",
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" re_ta.setdefault(user,{}) \n",
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" re_ta[user]['name'] = dict1[user]['name']\n",
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" if 'sex' in dict1[user].keys():\n",
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" re_ta[user]['sex'] = dict1[user]['sex']\n",
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" else:\n",
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" re_ta[user]['sex'] = ' '\n",
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" item_name = item[m_item]['name']\n",
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" re_ta[user].setdefault(item_name,{}) \n",
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" score = int(result[4])/item[m_item]['divisor'] \n",
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
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" re_ta[user][item_name]['得分'] =result[2]\n",
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"filename = 'data/result_天宫院.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl) \n",
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"print('ok')"
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]
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},
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{
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"cell_type": "markdown",
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"id": "dd96c378-f40c-4c21-b91e-78224a18e105",
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"metadata": {},
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"source": [
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"## 导出测试成绩"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c2ee2c71-7e28-4201-af85-ed7f001c6872",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import json\n",
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"import openpyxl\n",
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"\n",
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"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",
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"title = ['编号','姓名','性别','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",
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"filename = 'data/result_天宫院.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"\n",
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"filename = 'data/天宫院社区人员名单.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict2 = json.load(fl)\n",
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" \n",
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"list1 = []\n",
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"for k, v in dict1.items():\n",
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" list2 = []\n",
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" print(k,v['name'])\n",
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" list2.append(str(k).rjust(3,'0'))\n",
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" list2.append(v['name']) \n",
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" list2.append(dict2[k]['sex'])\n",
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" \n",
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" \n",
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" for item in items:\n",
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" if item in v.keys():\n",
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" list2.append(v[item]['成绩']) \n",
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" elif item =='name':\n",
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" list2.append(v[item])\n",
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" else:\n",
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" list2.append('') \n",
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" list1.append(list2)\n",
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"filename = 'data/天宫院社区体测情况表.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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"for row in list1:\n",
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" sheet.append(row)\n",
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" \n",
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"wb.save(filename)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "39f2ae5b-c87d-4bb3-bbfb-574899136ed8",
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"metadata": {},
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"source": [
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"## 体测报告更名分组"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "852cb395-ac79-4525-bb42-2d5078579a7b",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import os,sys,shutil\n",
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"import json\n",
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"import math\n",
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"import openpyxl\n",
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"\n",
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"fi_path = 'file/天宫院'\n",
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"old = []\n",
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"fl=os.listdir(fi_path)\n",
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"\n",
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"for fn in fl:\n",
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" if os.path.isfile(fi_path + '/' + fn):\n",
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" ofn = int(fn.split('.')[0])\n",
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" old.append(ofn) \n",
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"old.sort()\n",
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"for n in old: \n",
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" o_name = f'{fi_path}/{n}.pdf'\n",
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" name = dict1[str(n)]['name']\n",
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" n_name = f'{m_path}/{str(n).rjust(3,\"0\")}-{name}.pdf'\n",
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" #print(o_name,n_name)\n",
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" if not os.path.exists(n_name):\n",
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" shutil.copyfile(o_name,n_name)\n",
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" print(n_name)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "b8287c5d-c249-4e56-99e6-a7b0865127e0",
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"metadata": {},
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"source": [
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"## 生成下载文件JSON文件"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 41,
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"id": "08ce9a37-b40c-4cb7-8c12-f18e2ecfc462",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-04-23T08:52:01.769840Z",
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"iopub.status.busy": "2023-04-23T08:52:01.768890Z",
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"iopub.status.idle": "2023-04-23T08:52:01.785005Z",
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"shell.execute_reply": "2023-04-23T08:52:01.783964Z",
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"shell.execute_reply.started": "2023-04-23T08:52:01.769799Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"ok\n"
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]
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}
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],
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"source": [
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"import os,sys,shutil\n",
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"import json\n",
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"import math\n",
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"import openpyxl\n",
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"\n",
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"filename = 'data/天宫院社区人员名单.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl)\n",
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"fi_path = 'file/天宫院'\n",
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"old = []\n",
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"fl=os.listdir(fi_path)\n",
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"\n",
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"for fn in fl:\n",
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" if os.path.isfile(fi_path + '/' + fn):\n",
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" ofn = int(fn.split('.')[0])\n",
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" old.append(ofn) \n",
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"old.sort()\n",
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"dict2 = {}\n",
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"for n in old:\n",
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" if str(n) in dict1.keys() and 'phone' in dict1[str(n)].keys():\n",
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" dict2[n] = {'name':dict1[str(n)]['name'].strip(),'phone':str(dict1[str(n)]['phone']).strip()}\n",
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" \n",
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"filename = 'data/tiangongyuan.json'\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(dict2, fl, ensure_ascii=False) \n",
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"print('ok') \n",
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" "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "07d4850a-fccd-4759-b360-3762ada7c5b2",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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