jupyter/体测单位/通用模板.ipynb

体测人员导入

In [22]:

import openpyxl
import json


wb = openpyxl.load_workbook('data/物华社区人员名单.xlsx',data_only=True)
sheet = wb.active
# sheets = wb.sheetnames
person = {}

for n in range(2, sheet.max_row+1):
    code = int(sheet.cell(n, 1).value)
    person.setdefault(code, {})
    dict1 = {}
    dict1['name'] = sheet.cell(n, 2).value
    dict1['sex'] = sheet.cell(n, 3).value
    if sheet.cell(n, 4).value is not None:
        dict1['unit'] = sheet.cell(n, 4).value
    else:
        dict1['unit'] = ''
    dict1['birth'] = str(sheet.cell(n, 5).value).replace('/','-').split(' ')[0] 
    person[code] = dict1
filename = 'data/物华社区人员.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print(len(person),'ok')

30 ok

生成读卡系统文件

In [3]:

import json

filename = 'data/中心健康检测人员.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
list1 = []
for k, v in dict1.items():
    dict2 = {}
    #if dict1['sex'] =='男':
    #    sex = 1
    
    dict2 = {'id':k,'name':v['name'],'gender':v['sex'],'birth':v['birth'],'unit':v['unit']}
    list1.append(dict2)
json_data = json.dumps(list1,ensure_ascii=False, indent=4)  

# 将 json 数据写入文件
with open("data/data_中心健康检测人员.json", "w",encoding = 'utf-8') as file:
    file.write(json_data)   
print('ok')

ok

获取人员测试成绩

In [23]:

import json
import datetime
import csv
from datetime import date


re_ta = {}
list1 = []
filename = 'data/物华社区人员.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 

filename = 'data/marks_20260126.csv'
with open(filename,'r',newline='') as csv_file:
    fl = csv.reader(csv_file,delimiter=',')
    header = next(fl)    
    for line in fl:
        #line = re.sub('[\r\n\f ]{1,}', '', line)
        list1.append(line)

for result in list1:
    user = str(result[2])
    rq = date.fromisoformat(result[5].replace('/','-'))
    if user in dict1.keys():
        #print(user)
        l_xm = []
        m_item = str(result[3])    
        re_ta.setdefault(user,{})    
        re_ta[user]['name'] = dict1[user]['name']
        re_ta[user]['sex'] = dict1[user]['sex']
        re_ta[user]['birth'] = dict1[user]['birth']
        re_ta[user]['unit'] = dict1[user]['unit']
        if 'phone' in dict1[user].keys():
            re_ta[user]['phone'] = dict1[user]['phone']
        if dict1[user]['sex'] == '男':
            l_xm = ['bmi','lung','grip','flexion','jump','pushup','balance','reaction','step']
        else:
            l_xm = ['bmi','lung','grip','flexion','jump','balance','reaction','step','situp']
        #re_ta[user]['unit'] = dict1[user]['unit']
        birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))
        item_name = result[3]     
        if item_name in l_xm:            
            days = (rq-birth).days        
            re_ta[user]['age'] = int(days/365)
            re_ta[user]['month'] = int(days/365*12)
            re_ta[user]['rq'] = result[5]
            re_ta[user].setdefault(item_name,{})  
            score = result[4] 
            re_ta[user][item_name]['成绩'] = score

filename = 'data/result_物华社区人员.json'
with open(filename,'w') as fl:
    json.dump(re_ta, fl, ensure_ascii=False) 
print(len(re_ta))

30

生成测试得分

In [24]:

import json
import time
import my_module as My

#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']
list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']
filename = 'data/result_物华社区人员.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl) 
for k, v in dict2.items():
    #print(k)
    if v['sex'] == '男':
        sex = 'M'
    else:
        sex = 'F'            
    if 'bmi' in v.keys():
        #bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]
        bmi_data = v['bmi']['成绩']
        data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}
        dict2[k]['bmi'] = {}
        dict2[k]['bmi']['成绩'] = bmi_data
        dict2[k]['bmi']['score'] = My.cal_bmi(data1)
    for item_en in list_item:
        if item_en in v.keys():            
            data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}
            #print(k,v['name'])
            dict2[k][item_en]['score'] = My.cal_score(data1)
            #print(k,v[item_en]['成绩'],cal_score(data1))

filename = 'data/result_物华社区人员.json'
with open(filename,'w') as fl:
    json.dump(dict2,fl , ensure_ascii=False) 
print('ok!',len(dict2))        

ok! 30

导入问卷信息

按照姓名导入

In [20]:

import json
import csv
import openpyxl
import time
from datetime import date

dict1 = {}

filename = 'data/result_物华社区人员.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)


list1 = []
filename = 'data/sql_20260122.csv'
with open(filename,'r',newline='') as csv_file:
    fl = csv.reader(csv_file,delimiter=',')
    header = next(fl)    
    for line in fl:
        list1.append(line)
#print(list1)
dict2 = {}

    
    
for item in list1:
    content = json.loads(json.loads(item[1]))
    name = content['name']
    for k, v in dict1.items():
        if v['name'] == name:
            tcm = []            
            for i in range(0,60):
                tcm.append(0)
            rq = date.fromisoformat(item[2].replace('/','-').split(' ')[0])
                #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])
            
            for k1, v1 in content.items():                
                if 'tcm' in k1:                    
                    i = int(k1[3:])
                    tcm[i-1] = int(v1)
            #print(tcm)    
            if 'tcm' in item[1]:                
                dict1[k]['tcm'] = tcm            
            
            #dict1[k]['rq'] = rq
filename = 'data/result_中心健康检测人员.json'

with open(filename,'w') as fl:
    json.dump(dict1, fl, ensure_ascii=False)              

生成报告

In [25]:

import requests
import json
import openpyxl


headers = {
    "Content-Type": "application/json; charset=UTF-8"
    }
filename = 'data/result_物华社区人员.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
list1 = []
file_path ='./物华社区/'
list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']
i=0
list2 = []
for  k, v in dict1.items():
    list1 = []
    mydata = {}
    
    id = str(k).rjust(4,"0")
    mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'
    mydata['title'] = '物华社区'
    mydata['subtitle'] = v['unit']
    mydata['id'] = id
    mydata['name'] = v['name']
    if v['sex'] == '男':
        mydata['gender'] = 'male'
    else:
        mydata['gender'] = 'female'
    
    mydata['month'] = v['month']
    mydata['fits'] = {}
    survey_list = ['tcm','psy_yangmiao_old','spine']
    for item in survey_list:
        if item in  v.keys():
            mydata.setdefault('surveys',{})
            mydata['surveys'][item] = v[item]
            
    
    #mydata['fits'] = {}
    for item in list_item:
        if item in v.keys():
            mydata.setdefault('fits',{})
            if item in ['lung','pushup','step','situp']:
                mark = v[item]['成绩'].split()[0].split('.')[0]
            else:
                mark = v[item]['成绩'].split()[0]
            mydata['fits'][item] = {'mark':mark,'score':v[item]['score']}
    #if len(mydata['fits']) >2 or len(mydata['surveys']) >0:
    #if len(mydata['fits']) >2 :  
    if len(mydata['fits']) >2 or 'surveys' in mydata.keys():
        list1.append(mydata)
        list2.append([k,v['name']])
        i+=1
        x = requests.post('http://localhost:3003', data = json.dumps(list1), headers=headers)
        #print(id,v['name'],x.text)
        #print(mydata)
        #x.close()
print(i)

30

生成体质检测明细表

In [ ]: