20231017
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512song committed
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commit
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@@ -1612,7 +1612,7 @@
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"with open(filename,'r') as fl:\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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" dict1 = json.load(fl) \n",
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"\n",
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"\n",
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"filename = 'data/places_result_20231013.csv'\n",
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"filename = 'data/places_result_20231017.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\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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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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" header = next(fl) \n",
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@@ -1688,7 +1688,7 @@
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" else:\n",
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" else:\n",
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" list2.append('') \n",
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" list2.append('') \n",
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" list1.append(list2)\n",
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" list1.append(list2)\n",
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"filename = 'data/天津石化体测情况（截至20231013）.xlsx'\n",
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"filename = 'data/天津石化体测情况（截至20231017）.xlsx'\n",
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"wb = openpyxl.Workbook()\n",
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"wb = openpyxl.Workbook()\n",
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"sheet = wb.active\n",
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"sheet = wb.active\n",
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"sheet.append(title)\n",
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"sheet.append(title)\n",
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@@ -1905,10 +1905,312 @@
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"wb.save(filename)"
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"wb.save(filename)"
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]
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]
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},
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},
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{
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"cell_type": "markdown",
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"id": "ed2a999f-47b9-4f36-88e2-354a0e37243b",
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"metadata": {},
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"source": [
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"## 转换报告格式"
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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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"cell_type": "code",
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"execution_count": null,
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"execution_count": null,
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"id": "0f3c5384-04b0-432a-8800-c7af57ee1131",
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"id": "678ce52b-5368-4ec8-8b9e-0567895d856a",
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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 datetime\n",
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"import csv\n",
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"from datetime import date\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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"item['1']['en'] = 'lung'\n",
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"item['2']['en'] = 'grip'\n",
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"item['3']['en'] = 'flexion'\n",
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"item['4']['en'] = 'jump'\n",
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"item['5']['en'] = 'pushup'\n",
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"item['6']['en'] = 'balance'\n",
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"item['7']['en'] = 'reaction'\n",
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"item['8']['en'] = 'step'\n",
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"item['9']['en'] = 'situp'\n",
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"item['10']['en'] = 'height'\n",
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"item['11']['en'] = 'weight'\n",
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"\n",
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"\n",
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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"filename = 'data/天津石化人员名单2023.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/places_result_20231017.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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"#f_item = ['lung','grip','flexion','jump','balance','reaction','step','situp']\n",
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"#m_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
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"for result in list1:\n",
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" user = str(result[2])\n",
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" rq = date.fromisoformat(result[6].replace('/','-'))\n",
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" if user in dict1.keys():\n",
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" l_xm = []\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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" re_ta[user]['sex'] = dict1[user]['sex']\n",
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" if dict1[user]['sex'] == '男':\n",
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" l_xm = ['weight','height','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
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" else:\n",
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" l_xm = ['weight','height','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
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" re_ta[user]['unit'] = dict1[user]['unit']\n",
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" birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
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" #nian = int(birth[0].strip())\n",
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" #yue = int(birth[1].strip())\n",
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" #ri = int(birth[2].strip())\n",
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" #print(k,nian,yue,ri)\n",
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" item_name = item[m_item]['en'] \n",
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" if item_name in l_xm: \n",
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" days = (rq-birth).days \n",
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" re_ta[user]['age'] = int(days/365)\n",
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" re_ta[user]['month'] = int(days/365*12)\n",
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" re_ta[user]['rq'] = result[6]\n",
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"\n",
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"\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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"print(len(re_ta))\n",
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"filename = 'data/result_天津231017.json'\n",
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"\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl, ensure_ascii=False) \n",
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"print(len(re_ta))"
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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": "17a9248a-18b3-4696-a895-dde38f7f88a5",
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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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"\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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" dict3 = json.load(fl) \n",
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"for k,v in dict3.items():\n",
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" item[k] = v\n",
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"item['1']['en'] = 'lung'\n",
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"item['2']['en'] = 'grip'\n",
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"item['3']['en'] = 'flexion'\n",
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"item['4']['en'] = 'jump'\n",
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"item['5']['en'] = 'pushup'\n",
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"item['6']['en'] = 'balance'\n",
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"item['7']['en'] = 'reaction'\n",
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"item['8']['en'] = 'step'\n",
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"item['9']['en'] = 'situp'\n",
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"item['10']['en'] = 'height'\n",
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"item['11']['en'] = 'weight'\n",
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"\n",
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"filename = 'data/体质检测标准 (1).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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"\n",
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"\n",
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"def cal_score(data1):\n",
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" #data = {'name':'张三','sex':'M','age':37,'item':'StepExperiment','result':46} \n",
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" person = dict1['person']\n",
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" criteria = dict1['criteria']\n",
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" if data1['age'] >59:\n",
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" data1['age'] = 59\n",
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" if data1['age'] <20:\n",
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" data1['age'] = 20\n",
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" info = data1['sex']+str(data1['age'])\n",
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" bz = person[info]\n",
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" mx = criteria[bz][data1['item']]\n",
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" result = data1['result'] \n",
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" if data1['item'] == 'reaction':\n",
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" for bz1 in mx:\n",
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" if result > bz1:\n",
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" #print(bz1)\n",
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" score = mx.index(bz1,0)\n",
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" break\n",
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" else:\n",
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" score = 5\n",
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" else:\n",
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" for bz1 in mx:\n",
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" if result < bz1:\n",
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" #print(bz1)\n",
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" score = mx.index(bz1,0)\n",
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" break\n",
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" else:\n",
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" score = 5\n",
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" return(score)\n",
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"filename = 'data/体质检测标准_BMI.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict4 = json.load(fl) \n",
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" \n",
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"def cal_bmi(data1):\n",
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" # data = {'name':'张三','sex':'M','age':37,'item':'HeightWeight','result':'177.7,97.0'}\n",
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" person = dict4['person']\n",
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" criteria = dict4['criteria']\n",
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" if data1['age'] > 59:\n",
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" data1['age'] = 59\n",
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" if data1['age'] <20:\n",
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" data1['age'] = 20\n",
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" info = data1['sex']+str(data1['age'])\n",
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" bz = person[info]\n",
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" #print(bz)\n",
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" result = data1['result']\n",
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" #print(data1['code'],result)\n",
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" height = int(float(result.split(',')[0]))\n",
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" weight = float(result.split(',')[1])\n",
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" if str(height) not in criteria[bz]:\n",
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" score = 1\n",
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" else: \n",
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" mx = criteria[bz][str(height)]\n",
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" if weight < mx[0]:\n",
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" score = 1\n",
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" elif weight < mx[1]:\n",
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" score = 3\n",
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" elif weight < mx[2]:\n",
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" score = 5 \n",
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" elif weight <= mx[3]:\n",
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" score = 3 \n",
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" elif weight > mx[3]:\n",
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" score = 1\n",
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" return score\n",
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" \n",
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" \n",
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"\n",
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"#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
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"filename = 'data/result_天津231017.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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"for k, v in dict2.items():\n",
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" #print(k)\n",
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" if v['sex'] == '男':\n",
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" sex = 'M'\n",
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" else:\n",
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" sex = 'F' \n",
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" if 'height' in v.keys() and 'weight' in v.keys():\n",
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" bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n",
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" data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n",
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" dict2[k]['bmi'] = {}\n",
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" dict2[k]['bmi']['成绩'] = bmi_data\n",
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" dict2[k]['bmi']['score'] = cal_bmi(data1)\n",
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" for item_en in list_item:\n",
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" if item_en in v.keys(): \n",
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" data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n",
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" dict2[k][item_en]['score'] = cal_score(data1)\n",
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" #print(k,v[item_en]['成绩'],cal_score(data1))\n",
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"\n",
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"filename = f'data/result_天津231017.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!') "
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]
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},
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{
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"cell_type": "markdown",
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|
"id": "c1c98895-27e7-41c8-a43b-a63ebfa1c5e2",
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"metadata": {},
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"source": [
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"## 生成报告"
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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": 27,
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|
"id": "f6171872-6b48-480a-b2c7-cf368d6cc6d8",
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"metadata": {
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"execution": {
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|
"iopub.execute_input": "2023-10-17T07:22:34.411936Z",
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|
"iopub.status.busy": "2023-10-17T07:22:34.411657Z",
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|
"iopub.status.idle": "2023-10-17T07:22:34.919302Z",
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"shell.execute_reply": "2023-10-17T07:22:34.918526Z",
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|
"shell.execute_reply.started": "2023-10-17T07:22:34.411911Z"
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},
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"tags": []
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||||||
|
},
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|
"outputs": [],
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"source": [
|
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|
"import requests\n",
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"import json\n",
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"import openpyxl\n",
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"\n",
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"\n",
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"headers = {\n",
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" \"Content-Type\": \"application/json; charset=UTF-8\"\n",
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" }\n",
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"filename = 'data/result_天津231017.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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"list1 = []\n",
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"fiie_path ='./134/'\n",
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"list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']\n",
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"i=1\n",
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"list2 = []\n",
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"for k, v in dict1.items():\n",
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" list1 = []\n",
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" mydata = {}\n",
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" \n",
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" id = str(k).rjust(8,\"0\")\n",
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" mydata['path'] = fiie_path+id+'-'+ v['name']+'.pdf'\n",
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||||||
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" mydata['title'] = '天津石化分公司'\n",
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" mydata['subtitle'] = v['unit']\n",
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" mydata['id'] = id\n",
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" mydata['name'] = v['name']\n",
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" if v['sex'] == '男':\n",
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" mydata['gender'] = 'male'\n",
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" else:\n",
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" mydata['gender'] = 'female'\n",
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" \n",
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" mydata['month'] = v['month']\n",
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||||||
|
" mydata['fits'] = {}\n",
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||||||
|
" for item in list_item:\n",
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|
" if item in v.keys():\n",
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|
" if item in ['lung','pushup','step','situp']:\n",
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" mark = v[item]['成绩'].split()[0].split('.')[0]\n",
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" else:\n",
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" mark = v[item]['成绩'].split()[0]\n",
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|
" mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}\n",
|
||||||
|
" if len(mydata['fits']) >2:\n",
|
||||||
|
" \n",
|
||||||
|
" list1.append(mydata)\n",
|
||||||
|
" list2.append([k,v['name']])\n",
|
||||||
|
" i+=1\n",
|
||||||
|
" x = requests.post('http://192.168.1.148:3003', data = json.dumps(list1), headers=headers)\n",
|
||||||
|
" print(id,v['name'],x.text)\n",
|
||||||
|
" #x.close()\n"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "2b5edd54-acb6-40b6-a7d5-47d3c9d4c15d",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"outputs": [],
|
"outputs": [],
|
||||||
"source": []
|
"source": []
|
||||||
|
|||||||
Reference in new issue
Block a user