{ "cells": [ { "cell_type": "markdown", "id": "b6ce4321-f82a-4d9d-a110-44a23b95970b", "metadata": { "jp-MarkdownHeadingCollapsed": true }, "source": [ "# 2023年体质检测" ] }, { "cell_type": "markdown", "id": "28695364-38de-442e-818d-cfab45902763", "metadata": {}, "source": [ "## 导入人员信息" ] }, { "cell_type": "code", "execution_count": null, "id": "2f2feca4-e0bf-4d68-af95-d3cfe5ac28bb", "metadata": { "tags": [] }, "outputs": [], "source": [ "import openpyxl\n", "import json\n", "\n", "\n", "wb = openpyxl.load_workbook('data/student_20140922(东营工程设计院监测花名册2023年) .xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "person = {}\n", "\n", "for n in range(2, sheet.max_row+1):\n", " if sheet.cell(n,1).value is not None:\n", " code = int(sheet.cell(n, 4).value)\n", " person.setdefault(code, {})\n", " dict1 = {}\n", " dict1['name'] = sheet.cell(n, 6).value\n", " if sheet.cell(n, 7).value ==1:\n", " sex = '男'\n", " else:\n", " sex = '女'\n", " dict1['sex'] = sex\n", " dict1['unit'] = sheet.cell(n, 3).value\n", "\n", "\n", " person[code] = dict1\n", "filename = 'data/东营工程设计院人员名单.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "76caa442-de4f-41eb-8743-b4a9d6c749d0", "metadata": {}, "source": [ "## 获取人员测试成绩" ] }, { "cell_type": "code", "execution_count": null, "id": "ab77e97a-de62-44dc-874e-72e9c8aaecf2", "metadata": { "tags": [] }, "outputs": [], "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", "re_ta = {}\n", "dict1 = {}\n", "list1 = []\n", "#print(\"\\n运动项目信息：\")\n", "filename = 'data/141.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_东营石油工程设计院.json'\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl) \n", "print('ok')" ] }, { "cell_type": "markdown", "id": "6fc0bfbd-a5cd-4720-bc66-14d74d730fc7", "metadata": {}, "source": [ "### 获取人员测试成绩（新格式）" ] }, { "cell_type": "code", "execution_count": null, "id": "4ffa6cd8-98a2-4975-af00-8647a0888bdd", "metadata": { "tags": [] }, "outputs": [], "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", "\n", "dict1 = {}\n", "list1 = []\n", "#print(\"\\n运动项目信息：\")\n", "filename = 'data/141.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", "list2 = []\n", "re_ta = {}\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", "for k, v in re_ta.items():\n", " dict2 = {}\n", " dict2['code'] = k\n", " for k1, v1 in v.items():\n", " dict2[k1] = v1\n", " list2.append(dict2)\n", "dict3 = {}\n", "dict3['result'] = list2\n", "filename = 'data/result_东营石油工程设计院(new).json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict3, fl) \n", "print('ok')" ] }, { "cell_type": "markdown", "id": "c4107446-c0c6-4d76-9062-284ff806ec86", "metadata": {}, "source": [ "## 导出测试成绩" ] }, { "cell_type": "code", "execution_count": null, "id": "ee6db59f-dcc3-4a85-8dba-2e212c2b5be0", "metadata": { "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','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_东营石油工程设计院.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "filename = 'data/东营工程设计院人员名单.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(5,'0'))\n", " list2.append(v['name']) \n", " list2.append(dict2[k]['sex'])\n", " list2.append(dict2[k]['unit']) \n", " \n", " for item in items:\n", " if item in v.keys():\n", " list2.append(v[item]['成绩']) \n", " elif item =='name':\n", " list2.append(v[item])\n", " else:\n", " list2.append('') \n", " list1.append(list2)\n", "filename = 'data/东营石油工程设计院体测情况表.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": "579fd3c1-7fe3-49ef-8875-0d823b7d0546", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "import openpyxl\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,a.date_joined FROM places_result AS a,_tianjin AS b WHERE a.place_id=134 AND a.avatar_id=b.id\n", "filename = 'data/东营工程设计院人员名单.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl) \n", "\n", "list1 = []\n", "#print(\"\\n运动项目信息：\")\n", "filename = 'data/141.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", "dict3 = {}\n", "for result in list1:\n", " user = result[2]\n", " if user in dict2.keys():\n", " dict3.setdefault(user,{}) \n", " dict3[user]['name'] = dict2[user]['name']\n", " dict3[user]['unit'] = dict2[user]['unit']\n", "\n", "print(len(dict3))\n", "list1 = []\n", "for k, v in dict3.items():\n", " list2 = [k,v['name'],v['unit']]\n", " list1.append(list2)\n", "filename = 'data/东营工程设计院参加测试人员情况表.xlsx'\n", "wb = openpyxl.Workbook()\n", "sheet = wb.active\n", "\n", "for row in list1:\n", " sheet.append(row)\n", " \n", "wb.save(filename) \n", " " ] }, { "cell_type": "markdown", "id": "441db522-6774-4868-bb43-3de8ffc3f1ef", "metadata": {}, "source": [ "## 体测报告更名按部门分组" ] }, { "cell_type": "code", "execution_count": null, "id": "3a26fdfb-b28f-42c9-9479-57e210c0b8ae", "metadata": { "tags": [] }, "outputs": [], "source": [ "import os,sys,shutil\n", "import json\n", "import math\n", "import openpyxl\n", "wb = openpyxl.load_workbook('data/东营工程设计院参加测试人员情况表.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "dict1 = {}\n", "list_bh = []\n", "depart = []\n", "for n in range(1,sheet.max_row+1):\n", " dict1.setdefault(sheet.cell(n, 1).value,{}) \n", " m_depart = sheet.cell(n, 3).value\n", " dict1[sheet.cell(n, 1).value]['unit'] = m_depart\n", " dict1[sheet.cell(n, 1).value]['name'] = sheet.cell(n, 2).value\n", " if m_depart not in depart:\n", " depart.append(m_depart)\n", "old = []\n", "\n", " \n", "fi_path = 'file/141'\n", "\n", "\n", "# 创建部门办公室 \n", "m_path = 'file/141/new'\n", "for pn in depart:\n", " if not os.path.exists(m_path + '/' + pn):\n", " os.mkdir(m_path + '/' + pn)\n", "fl=os.listdir(fi_path)\n", "for fn in fl:\n", " if os.path.isfile(fi_path + '/' + fn):\n", " ofn = int(fn.split('.')[0])\n", " old.append(ofn) \n", "old.sort()\n", "for n in old: \n", " o_name = f'{fi_path}/{n}.pdf'\n", " unit = dict1[str(n)]['unit']\n", " name = dict1[str(n)]['name']\n", " n_name = f'{m_path}/{unit}/{str(n).rjust(5,\"0\")}-{name}.pdf'\n", " #print(o_name,n_name)\n", " if not os.path.exists(n_name):\n", " shutil.copyfile(o_name,n_name)\n", " print(n_name)" ] }, { "cell_type": "markdown", "id": "e6f372af-b4a6-4815-b251-d15ff26ee480", "metadata": {}, "source": [ "## 体测报告分析" ] }, { "cell_type": "markdown", "id": "7a23d436-a49f-4e39-bbf3-bf92be6ea072", "metadata": {}, "source": [ "### 获取人员信息" ] }, { "cell_type": "code", "execution_count": null, "id": "e6aed1b3-5825-4aed-83ec-08c50c5276f1", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "import pymysql\n", "import datetime\n", "\n", "dict1 = {}\n", "dict2 = {}\n", "dict3 = {}\n", "\n", "db = pymysql.connect(host = \"localhost\",user = \"songyi\",password = \"yylzs\",database = \"ydyb\" )\n", "cursor = db.cursor()\n", "sql = \"SELECT b.avatar_id, a.name ,a.sex,a.birth FROM people as a,places_people as b WHERE a.id =b.people_id AND b.place_id = 141\"\n", "cursor.execute(sql)\n", "results = cursor.fetchall()\n", "for result in results:\n", " bh = result[0]\n", " \n", " name = str(result[1]).strip()\n", " dict2.setdefault(bh,{})\n", " dict2[bh]['name'] = name\n", " dict2[bh]['sex'] = result[2]\n", " #dict2[bh]['birth'] = result[3]\n", " #print(result[3])\n", " days = (datetime.date(2023, 3, 6)-result[3]).days\n", " dict2[bh]['age'] = round(days/365)\n", "\n", "filename = 'data/东营工程设计院人员信息.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(dict2, fl, ensure_ascii=False)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "300ffd45-7bb4-4e8f-bfb1-d0a5114f396f", "metadata": {}, "source": [ "### 获取人员及体测成绩" ] }, { "cell_type": "code", "execution_count": null, "id": "34cc0d44-7567-4263-9fa2-3fc47d643f00", "metadata": { "tags": [] }, "outputs": [], "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,a.date_joined FROM places_result AS a,_tianjin AS b WHERE a.place_id=134 AND a.avatar_id=b.id\n", "\n", "re_ta = {}\n", "dict1 = {}\n", "list1 = []\n", "#print(\"\\n运动项目信息：\")\n", "filename = 'data/141.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_东营设计院.json'\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl) \n", "print('ok')" ] }, { "cell_type": "markdown", "id": "908b8339-07bf-48a9-b8f3-327c79e38a28", "metadata": {}, "source": [ "### 汇总人员信息及成绩" ] }, { "cell_type": "code", "execution_count": null, "id": "83c471e6-f2af-4ec8-abc2-a9dfa2de5e22", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "\n", "\n", "items = ['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_东营设计院.json'\n", "\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/东营工程设计院人员信息.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl) \n", "for k,v in dict1.items():\n", " print(k)\n", " score = 0\n", " i = 0\n", " for k1,v1 in v.items():\n", " \n", " \n", " if k1 in items:\n", " score = score + int(v1['得分'])\n", " i+=1\n", " \n", " dict1[k]['age'] = dict2[k]['age']\n", " dict1[k]['sex'] = dict2[k]['sex']\n", " dict1[k]['score'] = round(score/i,2)\n", " \n", "filename = 'data/result_东营设计院.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl) \n", "print('ok')" ] }, { "cell_type": "markdown", "id": "dce39907-39cd-40ec-8588-2ec6a15c3aa2", "metadata": {}, "source": [ "### 根据年龄汇总人员信息及成绩" ] }, { "cell_type": "code", "execution_count": null, "id": "e1d9be91-7201-435b-8683-838056beca42", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "\n", "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,59],[60,69]]\n", "filename = 'data/result_东营设计院.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for item in nld:\n", " di = item[0]\n", " gao = item[1]\n", " i = 1\n", " score = 0\n", " m = 0\n", " f = 0\n", " for k,v in dict1.items():\n", " if v['age'] in range(di,gao+1):\n", " score = score+v['score']\n", " i+=1\n", " if v['sex'] == 0:\n", " m = m +1\n", " \n", " print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i-1}人,男性：{m}人')" ] }, { "cell_type": "markdown", "id": "5b78012f-35c2-4b1d-a3e7-5b332e7c4b66", "metadata": {}, "source": [ "### 计算平均成绩及等级" ] }, { "cell_type": "code", "execution_count": null, "id": "785620af-e60c-4f17-b261-cae1de7240b2", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "\n", "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,59],[60,69]]\n", "filename = 'data/result_东营设计院.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "i = 1\n", "score = 0\n", "\n", "m = 0\n", "f = 0\n", "for k,v in dict1.items():\n", " if v['sex'] == 0:\n", " m = m+v['score']\n", " else:\n", " f = f+v['score']\n", " score = score + v['score']\n", "\n", "print(f'平均成绩：{round(score/336,2)}分，男性：{round(m/203,2)}分,女性：{round(f/133,2)}')" ] }, { "cell_type": "markdown", "id": "17e9be28-563c-46ee-a457-51deb085cb55", "metadata": {}, "source": [ "### 计算测试等级" ] }, { "cell_type": "code", "execution_count": null, "id": "aa32ab25-6cb7-4a1b-87f9-5ec2b11d9715", "metadata": { "tags": [] }, "outputs": [], "source": [ "import json\n", "\n", "filename = 'data/result_东营设计院.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "dict2 = {}\n", "dict2['不合格'] = [0,255]\n", "dict2['合格'] = [256,332]\n", "dict2['良好'] = [333,367]\n", "dict2['优秀'] = [368,500]\n", "filename = 'data/result_东营设计院.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "for k1, v1 in dict2.items():\n", " di = v1[0]\n", " gao = v1[1]\n", " i = 0 \n", " m = 0\n", " f = 0\n", " for k,v in dict1.items():\n", " if int(v['score']*100) in range(di,gao+1):\n", " dict1[k]['level'] = k1\n", " i+=1\n", " if v['sex'] == 0:\n", " m = m +1\n", " else:\n", " f = f+1\n", " print(f'{di}~{gao}分人数：{i}人,男性：{m}人,女性:{f}人')\n", "filename = 'data/result_东营设计院.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl) \n", "print('ok')" ] }, { "cell_type": "markdown", "id": "5a07a92d-b81f-42f0-b3d0-13d1c452781a", "metadata": {}, "source": [ "### 计算各年龄段测试等级(男）" ] }, { "cell_type": "code", "execution_count": null, "id": "1759fc30-f390-4ed1-8d48-5eacc050e18f", "metadata": { "tags": [] }, "outputs": [], "source": [ "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,59],[60,69]]\n", "filename = 'data/result_东营设计院.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "dict2 = {}\n", "dict2['不合格'] = [0,255]\n", "dict2['合格'] = [256,332]\n", "dict2['良好'] = [333,367]\n", "dict2['优秀'] = [368,500]\n", "dict3 = {}\n", "for item in nld:\n", " di = item[0]\n", " gao = item[1]\n", " age = f'{di}-{gao}'\n", " dict3.setdefault(age,{})\n", " i = 0 \n", " m = 0\n", " f = 0\n", " for k,v in dict1.items():\n", " if v['age'] in range(di,gao+1): \n", " dict3[age].setdefault(v['level'],0)\n", " if v['sex'] == 0:\n", " dict3[age][v['level']] = dict3[age][v['level']]+1\n", " \n", "for k, v in dict3.items():\n", " print(k,v)" ] }, { "cell_type": "markdown", "id": "c91526fb-8686-49b8-8fee-bbcf8a932952", "metadata": {}, "source": [ "### 计算各年龄段测试等级(女）" ] }, { "cell_type": "code", "execution_count": null, "id": "b7b44be3-8cf1-48e6-a4a6-adfccdb8c0a9", "metadata": { "tags": [] }, "outputs": [], "source": [ "nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,59],[60,69]]\n", "filename = 'data/result_东营设计院.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "dict2 = {}\n", "dict2['不合格'] = [0,255]\n", "dict2['合格'] = [256,332]\n", "dict2['良好'] = [333,367]\n", "dict2['优秀'] = [368,500]\n", "dict3 = {}\n", "for item in nld:\n", " di = item[0]\n", " gao = item[1]\n", " age = f'{di}-{gao}'\n", " dict3.setdefault(age,{})\n", " i = 0 \n", " m = 0\n", " f = 0\n", " for k,v in dict1.items():\n", " if v['age'] in range(di,gao+1): \n", " dict3[age].setdefault(v['level'],0)\n", " if v['sex'] == 1:\n", " dict3[age][v['level']] = dict3[age][v['level']]+1\n", " \n", "for k, v in dict3.items():\n", " print(k,v)" ] }, { "cell_type": "markdown", "id": "4fdbe127-494d-463b-8dc2-4c5126a48dcc", "metadata": {}, "source": [ "### 按照部门计算平均成绩" ] }, { "cell_type": "code", "execution_count": null, "id": "975bb98b-a00c-4a34-b9a3-fe9975c12641", "metadata": { "tags": [] }, "outputs": [], "source": [ "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "depart = []\n", "for k, v in dict1.items():\n", " if v['unit'] not in depart:\n", " depart.append(v['unit'])\n", "\n", "for item in depart:\n", " score = 0\n", " n = 0\n", " for k, v in dict1.items():\n", " if item == v['unit']:\n", " score = score + v['score']\n", " n = n +1 \n", " print(item,round(score/n,2),n)\n", " " ] }, { "cell_type": "markdown", "id": "1d5eb757-3dc0-407d-9281-23fa3de037e2", "metadata": {}, "source": [ "### 计算各项目成绩" ] }, { "cell_type": "code", "execution_count": null, "id": "f51baed5-8d03-4d33-8d68-37ac13f9a47d", "metadata": { "tags": [] }, "outputs": [], "source": [ "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "items = ['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", "for item in items:\n", " score = 0\n", " n = 0\n", " for k, v in dict1.items():\n", " if item in v.keys():\n", " n = n + 1\n", " score =score + int(v[item]['得分'])\n", " print(item,round(score/n,2))" ] }, { "cell_type": "markdown", "id": "adb043d9-4e1f-49eb-b051-84e4efbc3c72", "metadata": {}, "source": [ "### 使用JMESPath查询" ] }, { "cell_type": "code", "execution_count": null, "id": "7b148f6d-0d6d-4573-9df3-ea02faab165d", "metadata": { "tags": [] }, "outputs": [], "source": [ "from jmespath import search\n", "filename = 'data/result_东营石油工程设计院(new).json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "unit = \"建筑设计所\"\n", "data = search(\"result[?unit== '建筑设计所'].[name,unit]\",dict1)\n", "print(data)" ] }, { "cell_type": "markdown", "id": "d3649684-3eab-49ad-8b3d-ebb452289e51", "metadata": { "jp-MarkdownHeadingCollapsed": true }, "source": [ "# 2024年体质检测" ] }, { "cell_type": "markdown", "id": "a3f5f78e-6785-48e6-b2b6-b91b8d2aa4ca", "metadata": {}, "source": [ "## 导入人员信息" ] }, { "cell_type": "code", "execution_count": 46, "id": "096e2b97-b83c-46bb-a070-c816e47da331", "metadata": { "execution": { "iopub.execute_input": "2024-10-12T07:01:48.471770Z", "iopub.status.busy": "2024-10-12T07:01:48.471014Z", "iopub.status.idle": "2024-10-12T07:01:48.503168Z", "shell.execute_reply": "2024-10-12T07:01:48.502646Z", "shell.execute_reply.started": "2024-10-12T07:01:48.471700Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ok\n" ] } ], "source": [ "import openpyxl\n", "import json\n", "\n", "\n", "wb = openpyxl.load_workbook('data/东营石油工程设计公司（2024）.xlsx')\n", "sheet = wb.active\n", "# sheets = wb.sheetnames\n", "person = {}\n", "\n", "for n in range(2, sheet.max_row+1):\n", " if sheet.cell(n,1).value is not None:\n", " code = int(sheet.cell(n, 1).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, 2).value\n", " if sheet.cell(n, 7).value is not None:\n", " dict1['gh'] = sheet.cell(n, 7).value\n", " #dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0] \n", " if sheet.cell(n, 6).value is not None:\n", " dict1['phone'] = str(sheet.cell(n,6).value)\n", " dict1['birth'] = str(sheet.cell(n, 5).value).replace('/','-').split(' ')[0] \n", " #dict1['gh'] = str(sheet.cell(n, 7).value)\n", " person[code] = dict1\n", "filename = 'data/东营工程设计院2024.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "926e4dc3-fe7a-4b8b-9330-5a9eebc8a766", "metadata": {}, "source": [ "## 获取人员测试成绩（新格式）" ] }, { "cell_type": "code", "execution_count": null, "id": "28afeee6-43c0-4e96-b3aa-dc09c6288425", "metadata": {}, "outputs": [], "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", "re_ta = {}\n", "dict1 = {}\n", "list1 = []\n", "filename = 'data/东营工程设计院2024.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/places_result_20240926.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[2])\n", " if user in dict1.keys(): \n", " m_item = str(result[3]) \n", " re_ta.setdefault(user,{}) \n", " re_ta[user]['name'] = dict1[user]['name']\n", " re_ta[user]['sex'] = dict1[user]['sex'] \n", " re_ta[user]['birth'] = dict1[user]['birth'] \n", " re_ta[user]['phone'] = dict1[user]['phone'] \n", " re_ta[user]['gh'] = dict1[user]['gh'] \n", " re_ta[user]['unit'] = dict1[user]['unit']\n", " #re_ta[user]['sub_unit'] = dict1[user]['sub_unit']\n", " item_name = item[m_item]['name']\n", " re_ta[user].setdefault(item_name,{}) \n", " score = int(result[4])/item[m_item]['divisor'] \n", " re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n", "print(len(re_ta))\n", "filename = 'data/result_东营工程设计院2024.json'\n", "\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl, ensure_ascii=False) \n", "print(len(re_ta))" ] }, { "cell_type": "markdown", "id": "78fd57de-eff7-487c-a483-3cf606127f58", "metadata": {}, "source": [ "## 导入问卷信息" ] }, { "cell_type": "code", "execution_count": 47, "id": "808e65e9-a9e3-44ea-9c0b-359375dceb3d", "metadata": { "execution": { "iopub.execute_input": "2024-10-12T07:02:11.291002Z", "iopub.status.busy": "2024-10-12T07:02:11.290225Z", "iopub.status.idle": "2024-10-12T07:02:11.324427Z", "shell.execute_reply": "2024-10-12T07:02:11.323742Z", "shell.execute_reply.started": "2024-10-12T07:02:11.290926Z" } }, "outputs": [], "source": [ "import json\n", "import csv\n", "import openpyxl\n", "import time\n", "from datetime import date\n", "\n", "filename = 'data/result_东营工程设计院2024.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/东营工程设计院2024.json'\n", "with open(filename,'r') as fl:\n", " dict3 = json.load(fl)\n", "\n", "phone = {}\n", "for k,v in dict3.items():\n", " if 'phone' in v.keys():\n", " phone[v['phone']] = k\n", "list1 = []\n", "filename = 'data/Survey_20241008.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", " list1.append(line)\n", "#print(list1)\n", "dict2 = {}\n", "psy =[]\n", "tcm = []\n", "spine = []\n", "\n", "for i in range(0,60):\n", " tcm.append(0)\n", "\n", "\n", "for item in list1:\n", " if item[2] in phone.keys(): \n", " tcm = [] \n", " for i in range(0,60):\n", " tcm.append(0)\n", " content = json.loads(item[5])\n", " rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n", " if phone[item[2]] not in dict1.keys():\n", " dict1[phone[item[2]]] = dict3[phone[item[2]]]\n", " \n", " #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n", " for k, v in content.items(): \n", " if 'tcm' in k:\n", " i = int(k[3:])\n", " tcm[i-1] = int(v)\n", " \n", " if 'tcm' in item[5]:\n", " dict1[phone[item[2]]]['tcm'] = tcm\n", " birth = date.fromisoformat(dict3[phone[item[2]]]['birth'].replace('/','-'))\n", " \n", " days = (rq-birth).days \n", " dict1[phone[item[2]]]['age'] = int(days/365)\n", " dict1[phone[item[2]]]['month'] = int(days/365*12)\n", "filename = 'data/result_东营工程设计院2024_all.json'\n", "\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl, ensure_ascii=False) " ] }, { "cell_type": "markdown", "id": "24b51e8b-a16b-47ac-85a1-b7037e7ce223", "metadata": {}, "source": [ "## 统计未参加问卷人员" ] }, { "cell_type": "code", "execution_count": null, "id": "47f53bdf-ac6a-44f1-9f5f-852eb2d61127", "metadata": {}, "outputs": [], "source": [ "import json\n", "import csv\n", "import openpyxl\n", "import time\n", "from datetime import date\n", "\n", "filename = 'data/result_东营工程设计院2024.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/东营工程设计院2024.json'\n", "with open(filename,'r') as fl:\n", " dict3 = json.load(fl)\n", "\n", "phone = {}\n", "for k,v in dict3.items():\n", " if 'phone' in v.keys():\n", " phone[v['phone']] = k\n", "list1 = []\n", "filename = 'data/Survey_20241008.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", " list1.append(line)\n", "#print(list1)\n", "dict2 = {}\n", "tcm = []\n", "for item in list1:\n", " if item[2] in phone.keys(): \n", " tcm = [] \n", " for i in range(0,60):\n", " tcm.append(0)\n", " content = json.loads(item[5])\n", " rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n", " if phone[item[2]] not in dict1.keys():\n", " dict1[phone[item[2]]] = dict3[phone[item[2]]]\n", " \n", " #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n", " for k, v in content.items(): \n", " if 'tcm' in k:\n", " i = int(k[3:])\n", " tcm[i-1] = int(v)\n", " \n", " if 'tcm' in item[5]:\n", " dict1[phone[item[2]]]['tcm'] = tcm\n", " birth = date.fromisoformat(dict3[phone[item[2]]]['birth'].replace('/','-'))\n", " \n", " days = (rq-birth).days \n", " dict1[phone[item[2]]]['age'] = int(days/365)\n", " dict1[phone[item[2]]]['month'] = int(days/365*12)\n", " else:\n", " print(item[2])\n", "filename = 'data/result_东营工程设计院2024_all.json'\n", "\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl, ensure_ascii=False) " ] }, { "cell_type": "code", "execution_count": null, "id": "c633a37c-0f0e-4b81-83cb-a9fa49efbe36", "metadata": {}, "outputs": [], "source": [ "import json\n", "import csv\n", "import openpyxl\n", "import time\n", "from datetime import date\n", "\n", "filename = 'data/result_东营工程设计院2024_all.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "i = 1\n", "for k, v in dict1.items():\n", " if 'tcm' not in v.keys():\n", " print(i,k,v['name'])\n", " i+=1" ] }, { "cell_type": "code", "execution_count": null, "id": "3f68bad7-e2ba-47e1-9ae0-08fce2ad79d1", "metadata": {}, "outputs": [], "source": [ "import json\n", "import csv\n", "import openpyxl\n", "import time\n", "from datetime import date\n", "\n", "filename = 'data/result_东营工程设计院2024.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "\n", "filename = 'data/东营工程设计院2024.json'\n", "with open(filename,'r') as fl:\n", " dict3 = json.load(fl)\n", "\n", "phone = {}\n", "for k,v in dict3.items():\n", " if 'phone' in v.keys():\n", " phone[v['phone']] = k\n", "list1 = []\n", "filename = 'data/Survey_20241008.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", " list1.append(line)\n", "for item in list1:\n", " if item[2] in phone.keys() and phone[item[2]] not in dict1.keys(): \n", " print(phone[item[2]])" ] }, { "cell_type": "markdown", "id": "f13c93bc-dc11-455f-b90f-07ebabfb0d5a", "metadata": {}, "source": [ "## 导出带得分体测情况明细表" ] }, { "cell_type": "code", "execution_count": 2, "id": "5cb11459-4719-4cbf-9735-510436b8bd49", "metadata": { "execution": { "iopub.execute_input": "2024-10-16T05:59:47.130519Z", "iopub.status.busy": "2024-10-16T05:59:47.129808Z", "iopub.status.idle": "2024-10-16T05:59:47.178226Z", "shell.execute_reply": "2024-10-16T05:59:47.177645Z", "shell.execute_reply.started": "2024-10-16T05:59:47.130453Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ok\n" ] } ], "source": [ "import json\n", "import openpyxl\n", "\n", "items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n", "bmi = ['height','weight']\n", "title = ['编号','姓名','性别','年龄','单位/部门','身高','体重','bmi','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", "\n", "filename = 'data/result_东营工程设计院2024.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "list1 = []\n", "for k, v in dict1.items(): #print(k,dict2[str(k)]['name'])\n", " list2 = []\n", " list2.append(str(k).rjust(5,'0'))\n", " list2.append(dict1[k]['name']) \n", " list2.append(dict1[k]['sex'])\n", " list2.append(dict1[k]['age'])\n", " list2.append(dict1[k]['unit'])\n", " i = 0\n", " if 'bmi' in dict1[k].keys():\n", " list2.append(dict1[k]['height']['成绩'])\n", " list2.append(dict1[k]['weight']['成绩'])\n", " list2.append(dict1[k]['bmi']['score'])\n", " i+=1\n", " else:\n", " list2.append('') \n", " list2.append('') \n", " list2.append('') \n", " \n", " \n", " for item in items:\n", " if item in dict1[k].keys():\n", " list2.append(dict1[k][item]['成绩'])\n", " list2.append(dict1[k][item]['score']) \n", " i+=1\n", " elif item =='name':\n", " list2.append(dict1[k][item])\n", " else:\n", " list2.append('') \n", " list2.append('') \n", " if i>2:\n", " list1.append(list2)\n", "filename = 'data/东营工程设计院体测情况明细表.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)\n", "print('ok') " ] }, { "cell_type": "markdown", "id": "4c2bb4c7-a884-4ade-a6a5-b080dc0a3d7a", "metadata": {}, "source": [ "# 2025年体质检测" ] }, { "cell_type": "markdown", "id": "553ccd00-fcaa-40af-a7fc-fbd157196023", "metadata": {}, "source": [ "## 体测人员导入" ] }, { "cell_type": "code", "execution_count": 1, "id": "3e6da1e5-4b4e-448a-9663-815372da636b", "metadata": { "execution": { "iopub.execute_input": "2025-06-20T07:00:42.285453Z", "iopub.status.busy": "2025-06-20T07:00:42.285034Z", "iopub.status.idle": "2025-06-20T07:00:42.566814Z", "shell.execute_reply": "2025-06-20T07:00:42.566337Z", "shell.execute_reply.started": "2025-06-20T07:00:42.285425Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ok\n" ] } ], "source": [ "import openpyxl\n", "import json\n", "\n", "\n", "wb = openpyxl.load_workbook('data/石油工程设计有限公司人员2025.xlsx',data_only=True)\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, 1).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, 6).value\n", " dict1['birth'] = str(sheet.cell(n, 5).value).replace('/','-').split(' ')[0] \n", " if sheet.cell(n, 7).value is not None:\n", " dict1['phone'] = sheet.cell(n,7).value\n", " #dict1['id'] = str(sheet.cell(n,2).value)\n", " person[code] = dict1\n", "filename = 'data/东营石油工程设计院2025.json'\n", "with open(filename, 'w') as fl:\n", " json.dump(person, fl, ensure_ascii=False)\n", "print('ok')" ] }, { "cell_type": "markdown", "id": "bdd3dec8-e443-4365-a03a-7db2e698061e", "metadata": {}, "source": [ "## 生成读卡系统文件" ] }, { "cell_type": "code", "execution_count": 7, "id": "93610ae6-098d-434a-a19a-6071aaa65500", "metadata": { "execution": { "iopub.execute_input": "2025-06-01T02:19:35.342854Z", "iopub.status.busy": "2025-06-01T02:19:35.342124Z", "iopub.status.idle": "2025-06-01T02:19:35.355636Z", "shell.execute_reply": "2025-06-01T02:19:35.354344Z", "shell.execute_reply.started": "2025-06-01T02:19:35.342790Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ok\n" ] } ], "source": [ "import json\n", "\n", "filename = 'data/东营石油工程设计院2025.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = []\n", "for k, v in dict1.items():\n", " dict2 = {}\n", " #if dict1['sex'] =='男':\n", " # sex = 1\n", " \n", " dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':v['unit']}\n", " list1.append(dict2)\n", "json_data = json.dumps(list1,ensure_ascii=False, indent=4) \n", "\n", "# 将 json 数据写入文件\n", "with open(\"data/card_东营石油工程设计院2025.json\", \"w\",encoding = 'utf-8') as file:\n", " file.write(json_data) \n", "print('ok')" ] }, { "cell_type": "markdown", "id": "e185883c-5c98-4090-883d-7ea643279b06", "metadata": {}, "source": [ "## 获取人员测试成绩" ] }, { "cell_type": "code", "execution_count": 2, "id": "d07d132b-dd74-458d-af0c-6a6ae005ad3a", "metadata": { "execution": { "iopub.execute_input": "2025-06-20T07:01:09.689108Z", "iopub.status.busy": "2025-06-20T07:01:09.688292Z", "iopub.status.idle": "2025-06-20T07:01:09.724466Z", "shell.execute_reply": "2025-06-20T07:01:09.724012Z", "shell.execute_reply.started": "2025-06-20T07:01:09.689036Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "246\n" ] } ], "source": [ "import json\n", "import datetime\n", "import csv\n", "from datetime import date\n", "import my_module as My\n", "\n", "filename = 'data/东营石油工程设计院2025.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl) \n", "filename = 'data/marks_20250609.csv'\n", "re_ta = My.get_result(filename,dict1)\n", "\n", "\n", "filename = 'data/result_东营石油工程设计院2025.json'\n", "with open(filename,'w') as fl:\n", " json.dump(re_ta, fl, ensure_ascii=False) \n", "print(len(re_ta))" ] }, { "cell_type": "markdown", "id": "a558472a-8428-476a-932a-3e723c9aa76b", "metadata": {}, "source": [ "## 生成测试得分" ] }, { "cell_type": "code", "execution_count": 3, "id": "971d592d-9ff5-4758-af68-2f60a986c2a2", "metadata": { "execution": { "iopub.execute_input": "2025-06-20T07:01:12.924286Z", "iopub.status.busy": "2025-06-20T07:01:12.923570Z", "iopub.status.idle": "2025-06-20T07:01:12.944059Z", "shell.execute_reply": "2025-06-20T07:01:12.943647Z", "shell.execute_reply.started": "2025-06-20T07:01:12.924217Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ok!\n" ] } ], "source": [ "import json\n", "import time\n", "import my_module as My\n", "\n", "#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n", "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n", "filename = 'data/result_东营石油工程设计院2025.json'\n", "with open(filename,'r') as fl:\n", " dict2 = json.load(fl) \n", "for k, v in dict2.items():\n", " #print(k)\n", " if v['sex'] == '男':\n", " sex = 'M'\n", " else:\n", " sex = 'F' \n", " if 'bmi' in v.keys():\n", " #bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n", " bmi_data = v['bmi']['成绩']\n", " data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n", " dict2[k]['bmi'] = {}\n", " dict2[k]['bmi']['成绩'] = bmi_data\n", " dict2[k]['bmi']['score'] = My.cal_bmi(data1)\n", " for item_en in list_item:\n", " if item_en in v.keys(): \n", " data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n", " #print(k,v['name'])\n", " dict2[k][item_en]['score'] = My.cal_score(data1)\n", " #print(k,v[item_en]['成绩'],cal_score(data1))\n", "\n", "filename = f'data/result_东营石油工程设计院2025.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict2,fl , ensure_ascii=False) \n", "print('ok!') " ] }, { "cell_type": "markdown", "id": "91afcf8e-9a70-438a-b956-8a195ddb0de8", "metadata": {}, "source": [ "## 导出测试人员信息" ] }, { "cell_type": "code", "execution_count": 13, "id": "fe5dc201-ee74-40a6-a7e3-4d9f8c0e05ed", "metadata": { "execution": { "iopub.execute_input": "2025-06-09T05:57:30.861539Z", "iopub.status.busy": "2025-06-09T05:57:30.860835Z", "iopub.status.idle": "2025-06-09T05:57:30.983605Z", "shell.execute_reply": "2025-06-09T05:57:30.983113Z", "shell.execute_reply.started": "2025-06-09T05:57:30.861474Z" } }, "outputs": [], "source": [ "import json\n", "import openpyxl\n", "\n", "items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n", "title = ['编号','姓名','性别','单位','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", "\n", "filename = 'data/result_东营石油工程设计院2025.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "\n", "filename = 'data/东营石油工程设计院2025.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(5,'0'))\n", " list2.append(v['name']) \n", " list2.append(dict2[k]['sex'])\n", " list2.append(dict2[k]['unit'])\n", " if 'bmi' in v.keys():\n", " height = v['bmi']['成绩'].split(',')[0]\n", " weight = v['bmi']['成绩'].split(',')[1]\n", " list2.append(height)\n", " list2.append(weight)\n", " else:\n", " list2.append('')\n", " list2.append('')\n", " for item in items:\n", " if item in v.keys():\n", " list2.append(v[item]['成绩']) \n", " elif item =='name':\n", " list2.append(v[item])\n", " else:\n", " list2.append('')\n", " \n", " list1.append(list2)\n", "filename = 'data/东营石油工程设计院情况表2025.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": "markdown", "id": "1fb920d9-2a09-45cf-80e8-0e2dfe7da4c2", "metadata": {}, "source": [ "## 导入问卷信息" ] }, { "cell_type": "code", "execution_count": 12, "id": "9108c394-577f-451a-975c-e1e1cf8b4daf", "metadata": { "execution": { "iopub.execute_input": "2025-06-23T03:24:33.496466Z", "iopub.status.busy": "2025-06-23T03:24:33.495720Z", "iopub.status.idle": "2025-06-23T03:24:33.522545Z", "shell.execute_reply": "2025-06-23T03:24:33.522082Z", "shell.execute_reply.started": "2025-06-23T03:24:33.496392Z" } }, "outputs": [], "source": [ "import json\n", "import csv\n", "import openpyxl\n", "import time\n", "from datetime import date\n", "#import my_module as My\n", "\n", "dict1 = {}\n", "filename = 'data/result_东营石油工程设计院2025.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "filename = 'data/东营石油工程设计院2025.json'\n", "with open(filename,'r') as fl:\n", " dict3 = json.load(fl)\n", "\n", "phone = {}\n", "for k,v in dict3.items():\n", " if 'phone' in v.keys():\n", " phone[str(v['phone'])] = k\n", "\n", "list1 = []\n", "filename = 'data/survey_records_20250623.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", " list1.append(line)\n", "#print(list1)\n", "dict2 = {}\n", "psy =[]\n", "tcm = []\n", "spine = []\n", "for i in range(0,44):\n", " psy.append(0)\n", "\n", "for i in range(0,60):\n", " tcm.append(0)\n", "for i in range(0,26):\n", " spine.append(0)\n", "i= 1\n", "for item in list1:\n", " if item[3] in phone.keys():\n", " psy =[]\n", " tcm = []\n", " spine = []\n", " for i in range(0,44):\n", " psy.append(0)\n", " psy.append([])\n", " for i in range(0,60):\n", " tcm.append(0)\n", " for i in range(0,26):\n", " spine.append(0)\n", " \n", " content = json.loads(item[4])\n", " if phone[item[3]] not in dict1.keys():\n", " dict1[phone[item[3]]] = dict3[phone[item[3]]]\n", " rq = date.fromisoformat(item[5].replace('/','-').split(' ')[0])\n", " #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])\n", " else:\n", " rq = date.fromisoformat('2025-06-23')\n", " for k, v in content.items():\n", " if 'psy' in k:\n", " i = int(k[3:])\n", " psy[i-1] = int(v)\n", " if 'tcm' in k:\n", " i = int(k[3:])\n", " tcm[i-1] = int(v)\n", " if 'spine' in k:\n", " i = int(k[5:])\n", " spine[i-1] = int(v)\n", " if 'psy' in item[4]:\n", " #for i in range(5,26):\n", " # new_valve = 5-psy[i]\n", " # psy[i] = new_valve\n", " \n", " \n", " dict1[phone[item[3]]]['psy'] = psy\n", " if 'tcm' in item[4]:\n", " dict1[phone[item[3]]]['tcm'] = tcm\n", " if 'spine' in item[4]:\n", " dict1[phone[item[3]]]['spine'] = spine\n", " birth = date.fromisoformat(dict3[phone[item[3]]]['birth'].replace('/','-'))\n", " \n", " days = (rq-birth).days \n", " dict1[phone[item[3]]]['age'] = int(days/365)\n", " dict1[phone[item[3]]]['month'] = int(days/365*12)\n", " \n", "\n", "filename = 'data/result_东营石油工程设计院2025-1.json'\n", "with open(filename,'w') as fl:\n", " json.dump(dict1, fl, ensure_ascii=False)\n", "#print(data1[1])" ] }, { "cell_type": "markdown", "id": "1f2c3e94-e14b-4c68-b5c7-a71b95fc2f86", "metadata": {}, "source": [ "## 生成报告" ] }, { "cell_type": "code", "execution_count": 4, "id": "cf15813a-02de-4dc9-95fe-912d9a5d9025", "metadata": { "execution": { "iopub.execute_input": "2025-06-20T07:01:28.279760Z", "iopub.status.busy": "2025-06-20T07:01:28.279048Z", "iopub.status.idle": "2025-06-20T07:03:42.883383Z", "shell.execute_reply": "2025-06-20T07:03:42.882115Z", "shell.execute_reply.started": "2025-06-20T07:01:28.279692Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "245\n" ] } ], "source": [ "import requests\n", "import json\n", "import openpyxl\n", "\n", "\n", "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", "filename = 'data/result_东营石油工程设计院2025.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = []\n", "file_path ='./东营石油设计院2025/'\n", "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", "i=0\n", "list2 = []\n", "for k, v in dict1.items():\n", " list1 = []\n", " mydata = {}\n", " \n", " id = str(k).rjust(4,\"0\")\n", " mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n", " mydata['title'] = '东营石油设计院'\n", " mydata['subtitle'] = v['unit']\n", " mydata['id'] = id\n", " mydata['name'] = v['name']\n", " if v['sex'] == '男':\n", " mydata['gender'] = 'male'\n", " else:\n", " mydata['gender'] = 'female'\n", " \n", " mydata['month'] = v['month']\n", " mydata['fits'] = {}\n", " survey_list = ['tcm','psy57','spine']\n", " for item in survey_list:\n", " if item in v.keys():\n", " mydata.setdefault('surveys',{})\n", " mydata['surveys'][item] = v[item]\n", " \n", " \n", " #mydata['fits'] = {}\n", " for item in list_item:\n", " if item in v.keys():\n", " mydata.setdefault('fits',{})\n", " if item in ['lung','pushup','step','situp']:\n", " mark = v[item]['成绩'].split()[0].split('.')[0]\n", " else:\n", " mark = v[item]['成绩'].split()[0]\n", " mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n", " #if len(mydata['fits']) >2 or len(mydata['surveys']) >0:\n", " if len(mydata['fits']) >2 : \n", " list1.append(mydata)\n", " list2.append([k,v['name']])\n", " i+=1\n", " x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n", " #print(id,v['name'],x.text)\n", " #print(mydata)\n", " #x.close()\n", "print(i)" ] }, { "cell_type": "code", "execution_count": 13, "id": "a7eb6a67-a31d-43cf-a44b-8c36c4686de4", "metadata": { "execution": { "iopub.execute_input": "2025-06-23T03:24:39.379408Z", "iopub.status.busy": "2025-06-23T03:24:39.378752Z", "iopub.status.idle": "2025-06-23T03:24:40.314206Z", "shell.execute_reply": "2025-06-23T03:24:40.313653Z", "shell.execute_reply.started": "2025-06-23T03:24:39.379350Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'path': './东营石油设计院2025-1/0263-周翠娟.pdf', 'title': '东营石油设计院', 'subtitle': '档案管理中心', 'id': '0263', 'name': '周翠娟', 'gender': 'female', 'month': 468, 'fits': {'lung': {'mark': '2737', 'score': 4}, 'grip': {'mark': '26.4', 'score': 2}, 'flexion': {'mark': '18.6', 'score': 4}, 'jump': {'mark': '22.8', 'score': 4}, 'balance': {'mark': '66.8', 'score': 5}, 'reaction': {'mark': '0.423', 'score': 5}, 'situp': {'mark': '25', 'score': 5}, 'bmi': {'mark': '166.3,57.1', 'score': 5}}, 'surveys': {'tcm': [4, 4, 1, 3, 1, 5, 2, 2, 2, 1, 3, 1, 3, 3, 3, 3, 1, 1, 1, 2, 1, 1, 1, 1, 4, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 4, 2, 2, 1, 4, 1, 3, 2, 2, 3, 1, 1, 1, 1, 4, 4, 1, 3], 'psy': [6, 7, 7, 7, 7, 2, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 1, 1, 3, 2, 1, 1, 2, 1, 2, 1, 1, 1, 1, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 2, 3, 3, 4, 4, []], 'spine': [2, 2, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 2, 2, 0, 2, 1, 2, 2]}}\n", "1\n" ] } ], "source": [ "import requests\n", "import json\n", "import openpyxl\n", "\n", "\n", "headers = {\n", " \"Content-Type\": \"application/json; charset=UTF-8\"\n", " }\n", "filename = 'data/result_东营石油工程设计院2025-1.json'\n", "with open(filename,'r') as fl:\n", " dict1 = json.load(fl)\n", "list1 = []\n", "file_path ='./东营石油设计院2025-1/'\n", "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n", "i=0\n", "list2 = []\n", "for k, v in dict1.items():\n", " list1 = []\n", " mydata = {}\n", " \n", " id = str(k).rjust(4,\"0\")\n", " mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'\n", " mydata['title'] = '东营石油设计院'\n", " mydata['subtitle'] = v['unit']\n", " mydata['id'] = id\n", " mydata['name'] = v['name']\n", " if v['sex'] == '男':\n", " mydata['gender'] = 'male'\n", " else:\n", " mydata['gender'] = 'female'\n", " \n", " mydata['month'] = v['month']\n", " mydata['fits'] = {}\n", " survey_list = ['tcm','psy','spine']\n", " for item in survey_list:\n", " if item in v.keys():\n", " mydata.setdefault('surveys',{})\n", " mydata['surveys'][item] = v[item]\n", " \n", " \n", " #mydata['fits'] = {}\n", " for item in list_item:\n", " if item in v.keys():\n", " mydata.setdefault('fits',{})\n", " if item in ['lung','pushup','step','situp']:\n", " mark = v[item]['成绩'].split()[0].split('.')[0]\n", " else:\n", " mark = v[item]['成绩'].split()[0]\n", " mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n", " if 'surveys' in mydata.keys():\n", " #if len(mydata['fits']) >2 : \n", " list1.append(mydata)\n", " list2.append([k,v['name']])\n", " i+=1\n", " x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)\n", " #print(id,v['name'],x.text)\n", " print(mydata)\n", " #x.close()\n", "print(i)" ] }, { "cell_type": "code", "execution_count": null, "id": "be1fbc81-363c-41cc-8ede-63100002ef1c", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.12.3" } }, "nbformat": 4, "nbformat_minor": 5 }