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512song 1036605b50 20251203

2025-12-03 22:24:07 +08:00

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体质检测数据处理

基础数据管理

体测数据按编号汇总

In [ ]:

import json
import time
import csv

filename = '../item.json'
item = {}
bh = set()
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for k,v in dict1.items():
    item[k] = v
re_ta = {}
dict1 = {}
list1 = []
list2 = []
rq = '20240612'
filename = f'data/places_result_{rq}.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)
        bh.add(line[2])
        
#print(list1)
for result in list1:
    user = str(result[2])
        
    m_item = str(result[3])    
    re_ta.setdefault(user,{})    
    
    item_name = item[m_item]['name']
    re_ta[user].setdefault(item_name,{})  
    score = int(result[4])/item[m_item]['divisor']    
    re_ta[user][item_name]['成绩'] = f'{score} {item[m_item]["unit"]}'
print(len(re_ta))


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']
title = ['编号','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']
list1 = []
for k, v in re_ta.items():
    list2 = []
    list2.append(str(k))
    for item in items:
        if item in v.keys():
            list2.append(v[item]['成绩'])            
        elif item =='name':
            list2.append(v[item])
        else:
            list2.append('') 
    list1.append(list2)
filename = f'data/长炼医院体测情况表({rq}).xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
wb.save(filename)

体测项目标准导入

In [ ]:

import openpyxl
import json

tcbz ={
    'HeightWeigh':'身高体重',
    'StepExperiment':'台阶指数',
    'Lung':'肺活量',
    'Proneness':'坐位体前屈',
    'PowerfullGrip':'握力',
    'OneMinutePushUp':'一分钟仰卧起坐',
    'PushUp':'俯卧撑',
    'VerticalJump':'纵跳',
    'ReactionTime':'选择反应时',
    'FootStand':'单脚站立'
}
wb = openpyxl.load_workbook('data/体质检测标准.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
dict1 = {}
dict3 = {}
for k, v in tcbz.items():
    dict3[v] = k
sheet = wb.active
data1 =list(sheet.values)
del data1[0]
for item in data1:
    sex = item[0][6:]
    if sex =='男':
        age_sex = 'M'+item[0][:5]
    else:
        age_sex = 'F'+item[0][:5]
    dict1.setdefault(age_sex,{})
    if item[1] in dict3.keys():
        xm = dict3[item[1]]
    dict1[age_sex].setdefault(xm,[])
    dict1[age_sex][xm].append(item[3]/item[4])
dict2 = {}
#print(dict1)
for k, v in dict1.items():
    i1 = int(k[1:3])
    i2 = int(k[-2:])
    m_sex = k[:1]
    for i in range(i1,i2+1):
        dict2[m_sex+str(i)] = k
dict3 = {}
dict3['person'] = dict2
dict3['criteria'] = dict1
filename = 'data/体质检测标准.json'
with open(filename, 'w') as fl:
    json.dump(dict3, fl, ensure_ascii=False)
print('ok')

身高标准导入

In [ ]:

import openpyxl
import json

tcbz ={
    'HeightWeigh':'身高体重',
    'StepExperiment':'台阶指数',
    'Lung':'肺活量',
    'Proneness':'坐位体前屈',
    'PowerfullGrip':'握力',
    'OneMinutePushUp':'一分钟仰卧起坐',
    'PushUp':'俯卧撑',
    'VerticalJump':'纵跳',
    'ReactionTime':'选择反应时',
    'FootStand':'单脚站立'
}
wb = openpyxl.load_workbook('data/体质检测标准_BMI.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
dict1 = {}
dict3 = {}
for k, v in tcbz.items():
    dict3[v] = k
sheet = wb.active
data1 =list(sheet.values)
del data1[0]
for item in data1:
    min_age = int(item[1]/12)
    max_age = int((item[2]+1)/12) - 1
    sex = item[0]
    height = int(item[3])
    if sex ==0:
        age_sex = 'M'+str(min_age)+'~'+str(max_age)
    else:
        age_sex = 'F'+str(min_age)+'~'+str(max_age)
    dict1.setdefault(age_sex,{})
    
    dict1[age_sex].setdefault(height,[])
    dict1[age_sex][height].append(item[5]/1000)
dict2 = {}
#print(dict1)
for k, v in dict1.items():
    i1 = int(k[1:3])
    i2 = int(k[-2:])
    m_sex = k[:1]
    for i in range(i1,i2+1):
        dict2[m_sex+str(i)] = k
dict3 = {}
dict3['person'] = dict2
dict3['criteria'] = dict1
filename = 'data/体质检测标准_BMI.json'
with open(filename, 'w') as fl:
    json.dump(dict3, fl, ensure_ascii=False)
print('ok')

生成项目信息

In [ ]:

import json

filename = '../item.json'
item = {}
unit = {}
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for k,v in dict1.items():
    item[k] = v
    del item[k]['divisor']
item['1']['en'] = 'lung'
item['2']['en'] = 'grip'
item['3']['en'] = 'flexion'
item['4']['en'] = 'jump'
item['5']['en'] = 'pushup'
item['6']['en'] = 'balance'
item['7']['en'] = 'reaction'
item['8']['en'] = 'step'
item['9']['en'] = 'situp'
item['10']['en'] = 'height'
item['11']['en'] = 'weight'

filename = 'data/体质检测项目信息.json'
with open(filename, 'w') as fl:
    json.dump(item, fl, ensure_ascii=False)
print('ok')

计算分数

In [ ]:

import json
import time
import csv

filename = 'data/体质检测标准.json'
item = {}
unit = {}
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
person = dict1['person']
criteria = dict1['criteria']
data = {'name':'张三','sex':'M','age':37,'item':'StepExperiment','result':46}
info = data['sex']+str(data['age'])
bz = person[info]
mx = criteria[bz][data['item']]
result = data['result']
score = -1
print(mx)
for bz1 in mx:
    if result < bz1:
        print(bz1)
        score = mx.index(bz1,0)
        break
    else:
        score = 5
#if score == -1:
 #   score = 5
print(score)

计算BMI分数

In [ ]:

import json
import time
import csv

filename = 'data/体质检测标准_BMI.json'
item = {}
unit = {}
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
person = dict1['person']
criteria = dict1['criteria']
data = {'name':'张三','sex':'M','age':37,'item':'HeightWeight','result':'177.7,97.0'}
info = data['sex']+str(data['age'])

bz = person[info]
print(bz)
result = data['result']
print(result)
height = int(float(result.split(',')[0]))
weight = float(result.split(',')[1])
mx = criteria[bz][str(height)]
if weight < mx[0]:
    score = 1
elif weight < mx[1]:
    score = 3
elif weight < mx[2]:
    score = 5    
elif weight <= mx[3]:
    score = 3  
elif weight > mx[3]:
    score = 1
print(score)

生成手工成绩sql语言

In [3]:

import openpyxl
import json


wb = openpyxl.load_workbook('data/采油工艺研究院手工录入.xlsx',data_only=True)
sheet = wb.active
s = ''
list1 = []
for n in range(2, sheet.max_row+1):
    ss = ''
    list2 = []
    list2.append("'"+str(sheet.cell(n, 1).value)+"'")
    list2.append("'"+str(sheet.cell(n, 2).value)+"'")
    list2.append("'"+str(sheet.cell(n, 3).value)+"'")
    list2.append("'"+str(sheet.cell(n, 4).value)+"'")
    list2.append("'"+str(sheet.cell(n, 5).value)+"'")
    #list2.append("'"+str(sheet.cell(n, 6).value)+"'")
    ss = ','.join(list2)
    list1.append("("+ss+")")
s = ','.join(list1)
print(s)

('769530','185','bmi','165.0,67.0','2025-12-03'),('769530','186','bmi','178.0,81.0','2025-12-03'),('769530','187','bmi','171.0,68.0','2025-12-03'),('769530','188','bmi','168.0,65.0','2025-12-03'),('769530','189','bmi','167.0,69.0','2025-12-03'),('769530','191','bmi','183.0,75.0','2025-12-03'),('769530','192','bmi','170.0,78.0','2025-12-03'),('769530','193','bmi','178.0,78.0','2025-12-03'),('769530','194','bmi','153.0,52.0','2025-12-03'),('769530','195','bmi','166.0,69.0','2025-12-03'),('769530','196','bmi','155.0,59.0','2025-12-03'),('769530','198','bmi','162.0,59.0','2025-12-03'),('769530','185','grip','36.0','2025-12-03'),('769530','186','grip','41.4','2025-12-03'),('769530','187','grip','58.0','2025-12-03'),('769530','188','grip','26.7','2025-12-03'),('769530','189','grip','31.0','2025-12-03'),('769530','190','grip','49.0','2025-12-03'),('769530','191','grip','39.0','2025-12-03'),('769530','192','grip','42.0','2025-12-03'),('769530','193','grip','43.7','2025-12-03'),('769530','194','grip','22.5','2025-12-03'),('769530','195','grip','29.0','2025-12-03'),('769530','196','grip','31.2','2025-12-03'),('769530','197','grip','30.0','2025-12-03'),('769530','198','grip','39.7','2025-12-03'),('769530','185','balance','7.47','2025-12-03'),('769530','186','balance','82','2025-12-03'),('769530','187','balance','30','2025-12-03'),('769530','188','balance','9.51','2025-12-03'),('769530','189','balance','21','2025-12-03'),('769530','190','balance','24','2025-12-03'),('769530','192','balance','35','2025-12-03'),('769530','193','balance','25','2025-12-03'),('769530','194','balance','20.55','2025-12-03'),('769530','195','balance','24','2025-12-03'),('769530','196','balance','15','2025-12-03'),('769530','197','balance','34','2025-12-03'),('769530','198','balance','28','2025-12-03'),('769530','185','lung','3130','2025-12-03'),('769530','186','lung','4035','2025-12-03'),('769530','187','lung','4040','2025-12-03'),('769530','188','lung','2252','2025-12-03'),('769530','189','lung','3417','2025-12-03'),('769530','190','lung','4693','2025-12-03'),('769530','191','lung','4254','2025-12-03'),('769530','192','lung','4031','2025-12-03'),('769530','193','lung','4849','2025-12-03'),('769530','194','lung','2259','2025-12-03'),('769530','195','lung','4106','2025-12-03'),('769530','196','lung','2399','2025-12-03'),('769530','197','lung','3100','2025-12-03'),('769530','198','lung','3310','2025-12-03'),('769530','187','flexion','10.0','2025-12-03'),('769530','188','flexion','10.1','2025-12-03'),('769530','189','flexion','19.8','2025-12-03'),('769530','190','flexion','-0.4','2025-12-03'),('769530','191','flexion','0.4','2025-12-03'),('769530','192','flexion','-12.4','2025-12-03'),('769530','193','flexion','3.8','2025-12-03'),('769530','194','flexion','0.6','2025-12-03'),('769530','195','flexion','6.8','2025-12-03'),('769530','196','flexion','7.8','2025-12-03'),('769530','197','flexion','-1.7','2025-12-03'),('769530','198','flexion','7.2','2025-12-03'),('769530','188','reaction','0.431','2025-12-03'),('769530','189','reaction','0.411','2025-12-03'),('769530','190','reaction','0.416','2025-12-03'),('769530','191','reaction','0.461','2025-12-03'),('769530','192','reaction','0.426','2025-12-03'),('769530','193','reaction','0.454','2025-12-03'),('769530','194','reaction','0.414','2025-12-03'),('769530','195','reaction','0.414','2025-12-03'),('769530','196','reaction','0.463','2025-12-03'),('769530','197','reaction','0.450','2025-12-03'),('769530','198','reaction','0.457','2025-12-03')

体测报告生成

转换报告格式

In [ ]:

import json
import datetime
import csv
from datetime import date

filename = '../item.json'
item = {}
unit = {}
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for k,v in dict1.items():
    item[k] = v
item['1']['en'] = 'lung'
item['2']['en'] = 'grip'
item['3']['en'] = 'flexion'
item['4']['en'] = 'jump'
item['5']['en'] = 'pushup'
item['6']['en'] = 'balance'
item['7']['en'] = 'reaction'
item['8']['en'] = 'step'
item['9']['en'] = 'situp'
item['10']['en'] = 'height'
item['11']['en'] = 'weight'


re_ta = {}
dict1 = {}
list1 = []
filename = 'data/天津石化人员2024.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 

filename = 'data/places_result_20241104.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)
#f_item = ['lung','grip','flexion','jump','balance','reaction','step','situp']
#m_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step']
for result in list1:
    user = str(result[2])
    rq = date.fromisoformat(result[6].replace('/','-'))
    if user in dict1.keys():
        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']
        if dict1[user]['sex'] == '男':
            l_xm = ['weight','height','lung','grip','flexion','jump','pushup','balance','reaction','step']
        else:
            l_xm = ['weight','height','lung','grip','flexion','jump','balance','reaction','step','situp']
        re_ta[user]['unit'] = dict1[user]['unit']
        #birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))
        birth = date.fromisoformat(dict1[user]['birth'])
        #nian = int(birth[0].strip())
        #yue = int(birth[1].strip())
        #ri = int(birth[2].strip())
        #print(k,nian,yue,ri)
        item_name = item[m_item]['en']        
        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[6]


            re_ta[user].setdefault(item_name,{})  
            score = int(result[4])/item[m_item]['divisor']    
            re_ta[user][item_name]['成绩'] = f'{score} {item[m_item]["unit"]}'
print(len(re_ta))
filename = 'data/result_天津石化2024.json'

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

生成完善得分

In [ ]:

import json
import time

filename = '../item1.json'
item = {}
unit = {}
with open(filename,'r') as fl:
    dict3 = json.load(fl) 
for k,v in dict3.items():
    item[k] = v
item['1']['en'] = 'lung'
item['2']['en'] = 'grip'
item['3']['en'] = 'flexion'
item['4']['en'] = 'jump'
item['5']['en'] = 'pushup'
item['6']['en'] = 'balance'
item['7']['en'] = 'reaction'
item['8']['en'] = 'step'
item['9']['en'] = 'situp'
item['10']['en'] = 'height'
item['11']['en'] = 'weight'

filename = 'data/体质检测标准 (1).json'    
with open(filename,'r') as fl:
    dict1 = json.load(fl)



def cal_score(data1):
    #data = {'name':'张三','sex':'M','age':37,'item':'StepExperiment','result':46}     
    person = dict1['person']
    criteria = dict1['criteria']
    if data1['age'] >59:
        data1['age'] = 59
    if data1['age'] <20:
        data1['age'] = 20
    info = data1['sex']+str(data1['age'])
    bz = person[info]
    mx = criteria[bz][data1['item']]
    result = data1['result']    
    if data1['item'] == 'reaction':
        for bz1 in mx:
            if result > bz1:
                #print(bz1)
                score = mx.index(bz1,0)
                break
            else:
                score = 5
    else:
        for bz1 in mx:
            if result < bz1:
                #print(bz1)
                score = mx.index(bz1,0)
                break
            else:
                score = 5
    return(score)
filename = 'data/体质检测标准_BMI.json'
with open(filename,'r') as fl:
    dict4 = json.load(fl) 
    
def cal_bmi(data1):
   # data = {'name':'张三','sex':'M','age':37,'item':'HeightWeight','result':'177.7,97.0'}
    person = dict4['person']
    criteria = dict4['criteria']
    if data1['age'] > 59:
        data1['age'] = 59
    if data1['age'] <20:
        data1['age'] = 20
    info = data1['sex']+str(data1['age'])
    bz = person[info]
    #print(bz)
    result = data1['result']
    #print(data1['code'],result)
    height = int(float(result.split(',')[0]))
    weight = float(result.split(',')[1])
    if str(height) not in criteria[bz]:
        score = 1
    else:   
        mx = criteria[bz][str(height)]
        if weight < mx[0]:
            score = 1
        elif weight < mx[1]:
            score = 3
        elif weight < mx[2]:
            score = 5    
        elif weight <= mx[3]:
            score = 3  
        elif weight > mx[3]:
            score = 1
    return score
    
    

#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_长炼医院人员2024（湖南青年）.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 'height' in v.keys() and 'weight' in v.keys():
        bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]
        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'] = 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])}
            dict2[k][item_en]['score'] = cal_score(data1)
            #print(k,v[item_en]['成绩'],cal_score(data1))

filename = f'data/result_长炼医院人员2024（湖南青年）.json'
with open(filename,'w') as fl:
    json.dump(dict2,fl , ensure_ascii=False) 
print('ok!')

生成报告

In [ ]:

import requests
import json
import openpyxl


headers = {
    "Content-Type": "application/json; charset=UTF-8"
    }
filename = 'data/result_沧州炼化-1.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
list1 = []
file_path ='./沧州炼化2025/'
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(8,"0")
    id = str(k).rjust(4,"0")
    mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'
    mydata['title'] = '中国石化沧州炼化公司'
    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','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 :    
        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)

生成报告（按照编号）

In [ ]:

import requests
import json
import openpyxl


headers = {
    "Content-Type": "application/json; charset=UTF-8"
    }
filename = 'data/result_镇海2025-1.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
list1 = []
file_path ='./镇海石化2025/'
list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']
i=0
list2 = []
person =['X00309','012947','013304','007231','007243','013612']
for  k, v in dict1.items():
    list1 = []
    mydata = {}
    
    #id = str(k).rjust(8,"0")
    id = str(k)
    if id in person:
        mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'
        mydata['title'] = '中国石化镇海炼化公司'
        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','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 :    
            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)

In [ ]:

import requests
import json
import openpyxl


headers = {
    "Content-Type": "application/json; charset=UTF-8"
    }
filename = 'data/result_胜利采油厂1.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
list1 = []
file_path ='./胜利采油厂/'
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'] = '东营胜利采油厂'
    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','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:
      
    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)

体测报告按部门分类

In [ ]:

import os,sys,shutil
import json
import glob
from pathlib import Path

fi_path = '/home/songyi/pdf-typescript-old2/沧州炼化2025'
new_path = 'file/沧州炼化2025'
old = []
dict2 = {}

filename = 'data/result_沧州炼化-1.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
fls = glob.glob(f'{fi_path}/*.pdf')
print(len(fls))
for fn in fls:
    fi_name =Path(fn).stem.split('-')[0]
    code = str(int(fi_name))    
    unit_path = Path(new_path,dict1[str(code)]['unit'])
    unit_path.mkdir(parents = True, exist_ok = True)
    n_name = Path(unit_path,Path(fn).stem+'.pdf')
    #if not os.path.exists(n_name):
    shutil.copyfile(fn,n_name)
    print(fn)

生成体测报告打印明细表

In [ ]:

import os,sys,shutil
import json
import glob
from pathlib import Path
import openpyxl

fi_path = '/home/songyi/pdf-typescript-old2/沧州炼化2025'

filename = 'data/result_沧州炼化-1.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
fls = glob.glob(f'{fi_path}/*.pdf')
list1 = []
title = ['测试编号','姓名','性别','部门']
for fn in fls:
    list2 = []
    fi_name =Path(fn).stem.split('-')[0]    
    code = str(int(fi_name))
    sex = dict1[str(code)]['sex']
    unit = dict1[str(code)]['unit']
    list2 = [fi_name,Path(fn).stem.split('-')[1],sex,unit]
    
    list1.append(list2)

filename = 'data/2025年沧州炼化体测报告明细表.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename) 
print('ok')

检查报告错误人员

In [ ]:

import os,sys,shutil
import json
import glob
from pathlib import Path
import openpyxl

fi_path = '/home/songyi/pdf-typescript/北海炼化2024'

filename = 'data/result_北海炼化2024.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
print(len(dict1))
fls = glob.glob(f'{fi_path}/*.pdf')
list1 = []
for fn in fls:    
    fi_name =Path(fn).stem.split('-')[0]    
    code = int(fi_name)
    list1.append(str(code))
for k, v in dict1.items():
    if k not in list1:
        print(k)

体质检测数据管理

数据导入Mycrm

导入系统人员信息

In [ ]:

import json
import time
import csv

list1 = []
filename = 'data/person_134.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)
#print(list1)
dict1 = {}
for result in list1:
    code = str(result[4])
    if int(result[1]) == 0:
        sex = '男'
    else:
        sex = '女'
    
    m_item = str(result[3])    
    dict1.setdefault(code,{})    
    dict1[code]['name'] = result[0]
    dict1[code]['sex'] = sex
    dict1[code]['birth'] = result[2]
filename = 'data/天津石化人员清单.json'
with open(filename,'w') as fl:
    json.dump(dict1, fl, ensure_ascii=False) 
print(len(dict1))

导入测试项目item

In [ ]:

import json
import psycopg2
from psycopg2 import extras as ex

filename = '../item.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
data_list = []
for k, v in dict1.items():
    data_list.append((int(k),v['name'])) 
conn = psycopg2.connect(database="mycrm", user="postgres", password="songyi", host="localhost", port="5432")
cursor = conn.cursor()
sql = 'insert into shijiazhuang_item (id,name) values %s'
ex.execute_values(cursor, sql, data_list, page_size=10000)
#conn.commit()
cursor.close()
conn.close()
print('ok!')

导入一级部门

In [ ]:

import json
import psycopg2
from psycopg2 import extras as ex

conn = psycopg2.connect(database="mycrm", user="postgres", password="songyi", host="localhost", port="5432")
cursor = conn.cursor()
filename = 'data/result_石家庄.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
unit = set()
for k, v in dict1.items():
    #if 'sub_unit' not in v.keys():
    #    print(k,v['name'])
    unit.add(v['unit'])
print(unit)    
i = 1
dict2 = {}
for item in unit:
    dict2[item] = i
    i+=1
data_list = []
for k,  v in dict2.items():
    data_list.append((v,k)) 
    
sql = 'insert into shijiazhuang_unit (id,name) values %s'
ex.execute_values(cursor, sql, data_list, page_size=10000)
#conn.commit()
cursor.close()
conn.close()
print('ok!')

导入二级部门

In [ ]:

import json
import psycopg2
from psycopg2 import extras as ex

conn = psycopg2.connect(database="mycrm", user="postgres", password="songyi", host="localhost", port="5432")
cursor = conn.cursor()
filename = 'data/天津石化人员名单.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
unit = set()
for k, v in dict1.items():
    #if 'sub_unit' not in v.keys():
    #    print(k,v['name'])
    unit.add(v['unit'])
print(unit)    
i = 1
dict2 = {}
for item in unit:
    dict2[item] = i
    i+=1
data_list = []
dict3 = {}
for k,  v in dict1.items():
    dict3.setdefault(v['unit'],set())
    dict3[v['unit']].add(v['sub_unit'])
i = 1    
for k, v in dict3.items():
    unit_id = dict2[k]
    for item in v:
        data_list.append((i,item,unit_id))
        i+=1
sql = 'insert into tianjin_sub_unit (id,name,unit_id) values %s'
ex.execute_values(cursor, sql, data_list, page_size=10000)
#conn.commit()
cursor.close()
conn.close()
print('ok!')

生成部门JSON文件

In [ ]:

import json
import csv

dict1 = {}
filename = 'data/shijiazhuang_unit_20230517.csv'
with open(filename,'r',newline='') as csv_file:
    fl = csv.reader(csv_file,delimiter=',')
    header = next(fl)
    list1 = []
    for line in fl:
        #line = re.sub('[\r\n\f ]{1,}', '', line)
        list1.append({'id':int(line[0]),'name':line[1]})
dict1['unit'] = list1

filename = 'data/sub_unit_134.csv'
with open(filename,'r',newline='') as csv_file:
    fl = csv.reader(csv_file,delimiter=',')
    header = next(fl)
    list1 = []
    for line in fl:
        #line = re.sub('[\r\n\f ]{1,}', '', line)
        list1.append({'id':int(line[0]),'name':line[1],'unit_id':int(line[2])})
dict1['sub_unit'] = list1
print(dict1)

filename = 'data/天津石化部门.json'
with open(filename,'w') as fl:
    json.dump(dict1, fl, ensure_ascii=False) 
print(len(dict1))

In [ ]:

import json
import csv

dict1 = {}
filename = 'data/shijiazhuang_unit_20230517.csv'
with open(filename,'r',newline='') as csv_file:
    fl = csv.reader(csv_file,delimiter=',')
    header = next(fl)
    list1 = []
    for line in fl:
        #line = re.sub('[\r\n\f ]{1,}', '', line)
        list1.append({'id':int(line[0]),'name':line[1]})
        dict1[int(line[0])] = line[1]


filename = 'data/石家庄石化部门.json'
with open(filename,'w') as fl:
    json.dump(dict1, fl, ensure_ascii=False) 
print(len(dict1))

导入人员信息

In [ ]:

import json
import psycopg2
from psycopg2 import extras as ex

conn = psycopg2.connect(database="mycrm", user="postgres", password="songyi", host="localhost", port="5432")
cursor = conn.cursor()
filename = 'data/天津石化人员清单.json'
with open(filename,'r') as fl:
    person = json.load(fl)
    
filename = 'data/石家庄石化部门.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

i = 1
dict2 = {}
for item in unit:
    dict2[item] = i
    i+=1
data_list = []
dict3 = {}
dict4 = {}
for k,  v in dict1.items():
    dict3.setdefault(v['unit'],set())
    dict3[v['unit']].add(v['sub_unit'])    
i = 1    
for k, v in dict3.items():
    unit_id = dict2[k]
    for item in v:
        data_list.append((i,item,unit_id))
        i+=1
for item in data_list:
    sub_id = item[0]
    dict4[sub_id] = {'name':item[1],'unit':item[2]}
dict5 = {}
for k, v in dict1.items():
    id_unit = dict2[v['unit']]
    sub_name = v['sub_unit']
    id_sub = 0
    for k1, v1 in dict4.items():
        if v1['name'] == sub_name and v1['unit'] == id_unit:
            id_sub = int(k1)
    if id_sub >0:
        dict5[k] = {'unit':id_unit,'sub_unit':id_sub}
    else:
        print(k,'not fund')
data_list = []
for k, v in dict5.items():
    id = int(k)
    name = person[k]['name']
    sex = person[k]['sex']
    birth = person[k]['birth']
    phone = ''
    note = ''
    unit = v['sub_unit']
    data_list.append((id,name,sex,birth,unit))
sql = 'insert into tianjin_person (id,name,sex,birth,unit_id) values %s'
ex.execute_values(cursor, sql, data_list, page_size=10000)
#conn.commit()
cursor.close()
conn.close()
print('ok!')

In [ ]:

import json
import psycopg2
from psycopg2 import extras as ex

conn = psycopg2.connect(database="mycrm", user="postgres", password="songyi", host="localhost", port="5432")
cursor = conn.cursor()
    
filename = 'data/石家庄石化部门.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
dict3 = {}
for k,v in dict1.items():
    dict3[v] = int(k)
filename = 'data/result_石家庄.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl)
data_list = []
for k, v in dict2.items():
    id = int(k)
    name = dict2[k]['name']
    sex = dict2[k]['sex']
    birth = dict2[k]['birth']    
    unit = dict3[dict2[k]['unit']]
    data_list.append((id,name,sex,birth,unit))
sql = 'insert into shijiazhuang_person (id,name,sex,birth,unit_id) values %s'
ex.execute_values(cursor, sql, data_list, page_size=10000)
#conn.commit()
cursor.close()
conn.close()
print('ok!')

导入测试成绩及得分

二级部门导入

In [ ]:

import json
import psycopg2
from psycopg2 import extras as ex

filename = '../item.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
dict2 = {}
for k, v in dict1.items():
    dict2[v['name']] = int(k)

filename = 'data/天津石化部门.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
unit = {}
for item in dict1['unit']:
    unit[item['name']] = item['id']

sub_unit = {}
for item in dict1['sub_unit']:
    sub_unit.setdefault(item['unit_id'],[])
    sub_unit[item['unit_id']].append({'id':item['id'],'name':item['name']})
    
filename = 'data/天津石化人员名单.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
person = {}
for k, v in dict1.items():
    person[k] = {'unit':v['unit'],'sub_unit':v['sub_unit']}

    
conn = psycopg2.connect(database="mycrm", user="postgres", password="songyi", host="localhost", port="5432")
cursor = conn.cursor()
data_list = []
filename = 'data/result_天津.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for k, v in dict1.items():
    for item in v.keys():
        if item in dict2.keys():
            item_id = dict2[item]
            if v[item]['得分'] == '\\N':
                score = None
            else:
                score = int(v[item]['得分'])
            unit_name = person[k]['unit']  
            sub_unit_name = person[k]['sub_unit']
            unit_id = unit[unit_name]
            for items in sub_unit[unit_id]:
                if items['name'] ==sub_unit_name:
                    sub_id = items['id'] 
            data_list.append((v[item]['成绩'],score,int(k),item_id,unit_id,sub_id))
         
sql = 'insert into tianjin_records (performance,score,avatar_id_id,item_id_id,unit_id_id,sub_unit_id_id) values %s'
ex.execute_values(cursor, sql, data_list, page_size=10000)
#conn.commit()
cursor.close()
conn.close()
print('ok!')

一级部门导入

In [ ]:

import json
import psycopg2
from psycopg2 import extras as ex

filename = '../item.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
dict2 = {}
for k, v in dict1.items():
    dict2[v['name']] = int(k)

filename = 'data/石家庄石化部门.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
dict3 = {}
for k,v in dict1.items():
    dict3[v] = int(k)
    

conn = psycopg2.connect(database="mycrm", user="postgres", password="songyi", host="localhost", port="5432")
cursor = conn.cursor()
data_list = []
filename = 'data/result_石家庄.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for k, v in dict1.items():
    for item in v.keys():
        if item in dict2.keys():
            item_id = dict2[item]            
            if v[item]['得分'] == '':
                score = None
            else:
                score = int(v[item]['得分'])
            unit_name = v['unit']
            unit_id = dict3[unit_name]
            data_list.append((v[item]['成绩'],score,int(k),item_id,unit_id))
sql = 'insert into shijiazhuang_records (performance,score,avatar_id_id,item_id_id,unit_id_id) values %s'
ex.execute_values(cursor, sql, data_list, page_size=10000)
#conn.commit()
cursor.close()
conn.close()
print('ok!')

In [ ]:

import json
import psycopg2
from psycopg2 import extras as ex

filename = '../item.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
dict2 = {}
for k, v in dict1.items():
    dict2[v['name']] = int(k)

filename = 'data/天津石化部门.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
unit = {}
for item in dict1['unit']:
    unit[item['name']] = item['id']
print(unit)

体质测试综合报告数据分析

清理报告数据

In [151]:

import json
import openpyxl


filename = 'data/result_沧州炼化-1.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

    
#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']
items = {}
items['lung'] = '肺活量'
items['grip'] ='握力'
items['flexion'] ='坐位体前屈'
items['jump'] ='纵跳'
items['pushup'] ='俯卧撑'
items['balance'] ='单脚站立'
items['reaction'] ='选择反应时'
items['step'] ='台阶指数'
items['situp'] ='一分钟仰卧起坐'
items['bmi'] ='BMI'


list1 = []
#fiie_path ='./138/'
list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']
i=1
list2 = []
dict2 = {}
for  k, v in dict1.items():
    list1 = []
    mydata = {}
    id = str(k).rjust(8,"0")
    mydata['unit'] = v['unit']
    mydata['name'] = v['name']
    mydata['sex'] = v['sex']
    mydata['month'] = v['month']
    age = int(v['month']/12)
    if age <20:
        mydata['age'] = 20
    else:
        mydata['age'] = int(v['month']/12)
    
    mydata['fits'] = {}
    score = 0
    for item in list_item:
        if item in v.keys():
            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'][items[item]] = {'mark':mark,'score':v[item]['score']}
            score = score + v[item]['score']
    mydata['score'] = round(score/len(mydata['fits']),2)
    if len(mydata['fits']) >2:
        dict2[str(k)] = mydata
filename = f'data/data_沧州炼化.json'
with open(filename,'w') as fl:
    json.dump(dict2,fl , ensure_ascii=False) 
print(len(dict2))

计算平均成绩

In [154]:

import json

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]
filename = 'data/data_沧州炼化.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
i = 1
m = 0
f = 0
score = 0
t_score = 0
for k,v in dict1.items():
    if v['sex'] == '男':
        m = m +1
        score = score+v['score']
print(f'平均成绩：{round(score/m,4)}分，男性：{m}人')
t_score = t_score + score
score = 0
for k,v in dict1.items():
    if v['sex'] == '女':
        f = f +1
        score = score+v['score']
print(f'平均成绩：{round(score/f,4)}分，女性：{f}人')
t_score = t_score + score
print(f'平均成绩：{round(t_score/(f+m),4)}分，总体：{(f+m)}人')

平均成绩：2.7312分，男性：997人
平均成绩：3.2382分，女性：224人
平均成绩：2.8242分，总体：1221人

计算测试等级

In [155]:

import json

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']

#filename = 'data/data_长炼医院.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
dict2 = {}
dict2['不合格'] = [0,255]
dict2['合格'] = [256,332]
dict2['良好'] = [333,367]
dict2['优秀'] = [368,500]

for k1, v1 in dict2.items():
    di = v1[0]
    gao = v1[1]
    i = 0    
    m = 0
    f = 0
    for k,v in dict1.items():
        if int(v['score']*100) in range(di,gao+1):
            dict1[k]['level'] = k1
            i+=1
            if v['sex'] == '男':
                m = m +1
            else:
                f = f+1
    print(f'{di}~{gao}分人数：{i}人,男性：{m}人,女性:{f}人')
print(len(dict1))
with open(filename,'w') as fl:
    json.dump(dict1, fl) 
print('ok')

0~255分人数：383人,男性：358人,女性:25人
256~332分人数：551人,男性：458人,女性:93人
333~367分人数：195人,男性：130人,女性:65人
368~500分人数：92人,男性：51人,女性:41人
1221
ok

计算各年龄段测试等级(女）

In [156]:

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
dict2 = {}
dict2['不合格'] = [0,255]
dict2['合格'] = [256,332]
dict2['良好'] = [333,367]
dict2['优秀'] = [368,500]
dict3 = {}
for item in nld:
    di = item[0]
    gao = item[1]
    age = f'{di}-{gao}'
    dict3.setdefault(age,{})
    i = 0    
    m = 0
    f = 0
    for k,v in dict1.items():
        if v['age'] in range(di,gao+1):              
            dict3[age].setdefault(v['level'],0)
            if v['sex'] == '女':
                dict3[age][v['level']] = dict3[age][v['level']]+1
            
for k, v in dict3.items():
    print(k,v)

20-24 {'合格': 2, '不合格': 1, '良好': 1, '优秀': 0}
25-29 {'合格': 9, '不合格': 3, '良好': 7, '优秀': 2}
30-34 {'合格': 5, '不合格': 0, '优秀': 3, '良好': 2}
35-39 {'合格': 5, '不合格': 4, '良好': 4, '优秀': 5}
40-44 {'合格': 10, '不合格': 5, '优秀': 5, '良好': 11}
45-49 {'不合格': 12, '良好': 29, '合格': 48, '优秀': 15}
50-54 {'合格': 14, '不合格': 0, '优秀': 10, '良好': 11}
55-80 {'合格': 0, '不合格': 0, '良好': 0, '优秀': 1}

计算各年龄段测试等级(男）

In [157]:

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
dict2 = {}
dict2['不合格'] = [0,255]
dict2['合格'] = [256,332]
dict2['良好'] = [333,367]
dict2['优秀'] = [368,500]
dict3 = {}
for item in nld:
    di = item[0]
    gao = item[1]
    age = f'{di}-{gao}'
    dict3.setdefault(age,{})
    i = 0    
    m = 0
    f = 0
    for k,v in dict1.items():
        if v['age'] in range(di,gao+1):            
            dict3[age].setdefault(v['level'],0)
            if v['sex'] == '男':
                dict3[age][v['level']] = dict3[age][v['level']]+1
            
for k, v in dict3.items():
    print(k,v)

20-24 {'合格': 15, '不合格': 9, '良好': 3, '优秀': 2}
25-29 {'合格': 31, '不合格': 22, '良好': 3, '优秀': 1}
30-34 {'合格': 22, '不合格': 8, '优秀': 0, '良好': 4}
35-39 {'合格': 65, '不合格': 27, '良好': 21, '优秀': 6}
40-44 {'合格': 56, '不合格': 50, '优秀': 5, '良好': 16}
45-49 {'不合格': 49, '良好': 23, '合格': 68, '优秀': 6}
50-54 {'合格': 118, '不合格': 99, '优秀': 21, '良好': 31}
55-80 {'合格': 83, '不合格': 94, '良好': 29, '优秀': 10}

根据年龄汇总人员信息及成绩

In [158]:

nld = [[16,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,69]]

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for item in nld:
    di = item[0]
    gao = item[1]
    i = 0
    score = 0
    m = 0
    f = 0
    for k,v in dict1.items():
        if v['age'] in range(di,gao+1):
            score = score+v['score']
            i+=1
            if v['sex'] == '男':
                m = m +1
    if i ==0:
        print(f'{di}~{gao}岁平均成绩：0分，人数：0人,男性：{m}人')
    else:
        print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人,男性：{m}人')

16~24岁平均成绩：2.79分，人数：33人,男性：29人
25~29岁平均成绩：2.78分，人数：78人,男性：57人
30~34岁平均成绩：2.86分，人数：44人,男性：34人
35~39岁平均成绩：2.92分，人数：137人,男性：119人
40~44岁平均成绩：2.8分，人数：158人,男性：127人
45~49岁平均成绩：2.93分，人数：250人,男性：146人
50~54岁平均成绩：2.83分，人数：304人,男性：269人
55~69岁平均成绩：2.67分，人数：217人,男性：216人

根据年龄汇总人员信息及成绩（男）

In [159]:

import json

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for item in nld:
    di = item[0]
    gao = item[1]
    i = 0
    score = 0
    m = 0
    f = 0
    for k,v in dict1.items():
        if v['age'] in range(di,gao+1) and v['sex'] == '男':
            score = score+v['score']
            i+=1
    if i ==0:
        print(f'{di}~{gao}岁平均成绩：0分，人数：{i}人') 
    else:
        print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')

20~24岁平均成绩：2.77分，人数：29人
25~29岁平均成绩：2.63分，人数：57人
30~34岁平均成绩：2.69分，人数：34人
35~39岁平均成绩：2.86分，人数：119人
40~44岁平均成绩：2.7分，人数：127人
45~49岁平均成绩：2.75分，人数：146人
50~54岁平均成绩：2.75分，人数：269人
55~80岁平均成绩：2.66分，人数：216人

根据年龄汇总人员信息及成绩（女）

In [160]:

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for item in nld:
    di = item[0]
    gao = item[1]
    i = 0
    score = 0
    m = 0
    f = 0
    for k,v in dict1.items():
        if v['age'] in range(di,gao+1) and v['sex'] == '女':
            score = score+v['score']
            i+=1
    if i ==0:
        print(f'{di}~{gao}岁平均成绩：0分，人数：{i}人') 
    else:
        print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')

20~24岁平均成绩：2.94分，人数：4人
25~29岁平均成绩：3.19分，人数：21人
30~34岁平均成绩：3.44分，人数：10人
35~39岁平均成绩：3.28分，人数：18人
40~44岁平均成绩：3.18分，人数：31人
45~49岁平均成绩：3.18分，人数：104人
50~54岁平均成绩：3.44分，人数：35人
55~80岁平均成绩：4.12分，人数：1人

计算各项目成绩

In [161]:

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
items = ['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']
for item in items:
    score = 0
    n = 0
    for k, v in dict1.items():        
        if item in v['fits'].keys():
            n = n + 1
            score =score + int(v['fits'][item]['score'])
    print(item,round(score/n,2),n)

BMI 3.04 1212
肺活量 3.23 1202
握力 2.56 1211
坐位体前屈 3.26 1144
纵跳 2.17 1152
俯卧撑 2.5 955
一分钟仰卧起坐 3.8 202
单脚站立 2.58 1184
选择反应时 3.26 1204
台阶指数 2.72 768

按照部门计算平均成绩

In [152]:

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
depart = []
for k, v in dict1.items():
    if v['unit'] not in depart:
        depart.append(v['unit'])

for item in depart:
    score = 0
    n = 0
    for k, v in dict1.items():
        if item == v['unit']:
            score = score + v['score']
            n = n +1 
    print(item,round(score/n,2),n)

应急救援中心 2.9 82
质量计量中心 2.94 125
公用工程部 2.77 164
财务资产部 3.1 15
炼油一部 2.74 163
炼油二部 2.8 145
炼油三部 2.88 144
储运部 2.68 139
行政事务中心 2.65 90
总经理办公室 3.1 9
安全环保部 3.03 14
计划经营部 2.96 12
党群工作部 3.31 14
物资采购中心 3.02 24
生产技术部 2.95 19
设备工程部 2.99 22
监督审计部 2.88 10
党委组织部 2.95 10
发展规划部 3.15 7
企管法律部 2.98 13

按照部门计算平均成绩（女性）

In [167]:

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
depart = []
for k, v in dict1.items():
    if v['unit'] not in depart:
        depart.append(v['unit'])

for item in depart:
    score = 0
    n = 0
    for k, v in dict1.items():
        if item == v['unit']:
            score = score + v['score']
            n = n +1 
    if n>0:
        print(item,round(score/n,2),n)
    else:
        print(item,0,n)

应急救援中心 2.9 82
质量计量中心 2.94 125
公用工程部 2.77 164
财务资产部 3.1 15
炼油一部 2.74 163
炼油二部 2.8 145
炼油三部 2.88 144
储运部 2.68 139
行政事务中心 2.65 90
总经理办公室 3.1 9
安全环保部 3.03 14
计划经营部 2.96 12
党群工作部 3.31 14
物资采购中心 3.02 24
生产技术部 2.95 19
设备工程部 2.99 22
监督审计部 2.88 10
党委组织部 2.95 10
发展规划部 3.15 7
企管法律部 2.98 13

计算部门等级

In [163]:

import json

items = ['优秀','良好','合格','不合格'] 

with open(filename,'r') as fl:
    dict1 = json.load(fl)


dict3 = {}
for k, v in dict1.items():
    unit = v['unit']
    dict3.setdefault(unit,{})
    for item in items:
        dict3[unit].setdefault(item,0)

for k, v in dict1.items():
    unit = v['unit']
    #dict3.setdefault(unit,{})
    #for item in items:
    #dict3[unit].setdefault(v['level'],0)
    dict3[unit][v['level']] +=1
for k, v in dict3.items():
    print(k,v['优秀'],v['良好'],v['合格'],v['不合格'])

应急救援中心 5 18 39 20
质量计量中心 13 21 63 28
公用工程部 10 25 69 60
财务资产部 3 3 7 2
炼油一部 5 17 85 56
炼油二部 10 25 61 49
炼油三部 16 25 59 44
储运部 11 12 57 59
行政事务中心 4 9 41 36
总经理办公室 0 4 3 2
安全环保部 3 2 6 3
计划经营部 2 2 5 3
党群工作部 2 6 6 0
物资采购中心 4 4 12 4
生产技术部 1 3 12 3
设备工程部 0 8 8 6
监督审计部 0 3 5 2
党委组织部 0 3 5 2
发展规划部 2 1 3 1
企管法律部 1 4 5 3

计算部门成绩

In [168]:

import json

items = ['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'] 
with open(filename,'r') as fl:
    dict1 = json.load(fl)


dict3 = {}

for k, v in dict1.items():
    unit = v['unit']
    dict3.setdefault(unit,{})
    for item in items:
        dict3[unit].setdefault(item,{})
        dict3[unit][item].setdefault('score',0)
        dict3[unit][item].setdefault('count',0)
    for k1,v1 in v['fits'].items():
        if k1 in items:
            dict3[unit][k1]['score']+=v1['score']
            dict3[unit][k1]['count']+=1

for k, v in dict3.items():
    print(k)
    for k1, v1 in v.items():
        print(k1,v1['score'],v1['count'])

应急救援中心
BMI 228 82
肺活量 240 82
握力 212 82
坐位体前屈 246 78
纵跳 189 77
俯卧撑 280 76
一分钟仰卧起坐 7 2
单脚站立 179 77
选择反应时 275 82
台阶指数 159 53
质量计量中心
BMI 427 123
肺活量 426 125
握力 302 124
坐位体前屈 371 115
纵跳 251 116
俯卧撑 135 62
一分钟仰卧起坐 195 51
单脚站立 330 120
选择反应时 410 123
台阶指数 207 74
公用工程部
BMI 505 163
肺活量 520 160
握力 406 161
坐位体前屈 467 149
纵跳 335 158
俯卧撑 327 137
一分钟仰卧起坐 61 15
单脚站立 370 158
选择反应时 511 160
台阶指数 280 98
财务资产部
BMI 57 15
肺活量 48 15
握力 27 15
坐位体前屈 55 13
纵跳 33 14
俯卧撑 19 5
一分钟仰卧起坐 37 9
单脚站立 43 14
选择反应时 52 15
台阶指数 24 10
炼油一部
BMI 491 161
肺活量 505 163
握力 430 163
坐位体前屈 492 157
纵跳 315 154
俯卧撑 307 139
一分钟仰卧起坐 67 19
单脚站立 406 160
选择反应时 523 161
台阶指数 271 102
炼油二部
BMI 402 144
肺活量 463 144
握力 380 144
坐位体前屈 466 139
纵跳 321 142
俯卧撑 233 112
一分钟仰卧起坐 110 29
单脚站立 368 143
选择反应时 462 143
台阶指数 288 98
炼油三部
BMI 462 142
肺活量 463 138
握力 364 144
坐位体前屈 471 131
纵跳 247 131
俯卧撑 335 124
一分钟仰卧起坐 61 15
单脚站立 348 141
选择反应时 476 143
台阶指数 230 84
储运部
BMI 392 138
肺活量 416 137
握力 360 136
坐位体前屈 428 133
纵跳 256 131
俯卧撑 283 126
一分钟仰卧起坐 28 9
单脚站立 334 136
选择反应时 415 138
台阶指数 213 74
行政事务中心
BMI 248 90
肺活量 263 85
握力 222 88
坐位体前屈 259 80
纵跳 143 82
俯卧撑 171 72
一分钟仰卧起坐 26 9
单脚站立 200 83
选择反应时 278 86
台阶指数 115 44
总经理办公室
BMI 25 9
肺活量 31 9
握力 24 9
坐位体前屈 24 8
纵跳 24 8
俯卧撑 9 3
一分钟仰卧起坐 20 5
单脚站立 34 9
选择反应时 28 9
台阶指数 21 8
安全环保部
BMI 38 14
肺活量 48 14
握力 40 14
坐位体前屈 40 13
纵跳 36 13
俯卧撑 24 10
一分钟仰卧起坐 11 3
单脚站立 45 13
选择反应时 50 13
台阶指数 36 13
计划经营部
BMI 38 12
肺活量 39 11
握力 32 12
坐位体前屈 32 11
纵跳 30 11
俯卧撑 15 6
一分钟仰卧起坐 20 5
单脚站立 30 12
选择反应时 45 12
台阶指数 23 11
党群工作部
BMI 58 14
肺活量 51 14
握力 36 14
坐位体前屈 45 14
纵跳 41 14
俯卧撑 19 6
一分钟仰卧起坐 32 7
单脚站立 51 14
选择反应时 50 14
台阶指数 27 13
物资采购中心
BMI 72 24
肺活量 89 24
握力 65 24
坐位体前屈 88 24
纵跳 56 23
俯卧撑 45 15
一分钟仰卧起坐 33 8
单脚站立 61 24
选择反应时 76 24
台阶指数 41 16
生产技术部
BMI 57 19
肺活量 67 19
握力 47 19
坐位体前屈 56 18
纵跳 42 17
俯卧撑 45 17
一分钟仰卧起坐 3 1
单脚站立 61 19
选择反应时 68 19
台阶指数 32 14
设备工程部
BMI 74 22
肺活量 71 22
握力 53 22
坐位体前屈 71 22
纵跳 67 22
俯卧撑 62 17
一分钟仰卧起坐 18 5
单脚站立 60 22
选择反应时 68 22
台阶指数 49 22
监督审计部
BMI 28 10
肺活量 32 10
握力 19 10
坐位体前屈 28 10
纵跳 27 10
俯卧撑 22 7
一分钟仰卧起坐 12 3
单脚站立 35 10
选择反应时 31 10
台阶指数 22 9
党委组织部
BMI 26 10
肺活量 37 10
握力 25 10
坐位体前屈 29 10
纵跳 30 10
俯卧撑 14 6
一分钟仰卧起坐 12 4
单脚站立 34 10
选择反应时 37 10
台阶指数 22 10
发展规划部
BMI 19 7
肺活量 28 7
握力 18 7
坐位体前屈 23 7
纵跳 22 6
俯卧撑 20 6
一分钟仰卧起坐 5 1
单脚站立 19 6
选择反应时 28 7
台阶指数 11 6
企管法律部
BMI 37 13
肺活量 45 13
握力 36 13
坐位体前屈 37 12
纵跳 32 13
俯卧撑 25 9
一分钟仰卧起坐 9 2
单脚站立 42 13
选择反应时 44 13
台阶指数 21 9

统计班次成绩

In [ ]:

items = ['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'] 
filename = 'data/data_镇海2025.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
banci = []
for k, v in dict1.items():
    if v['banci'] not in banci:
        banci.append(v['banci'])

for item in banci:
    score = 0
    n = 0
    for k, v in dict1.items():
        if item == v['banci'] and v['sex'] == '女':
            score = score + v['score']
            n = n +1 
    print(item,round(score/n,2),n)

统计班次测试等级

In [ ]:

import json

items = ['优秀','良好','合格','不合格'] 

dict3 = {}
for k, v in dict1.items():
    banci = v['banci']
    dict3.setdefault(banci,{})
    for item in items:
        dict3[banci].setdefault(item,0)

for k, v in dict1.items():
    banci = v['banci']
    #dict3.setdefault(unit,{})
    #for item in items:
    #dict3[unit].setdefault(v['level'],0)
    if v['sex'] =='男':
        dict3[banci][v['level']] +=1
for k, v in dict3.items():
    print(k,v['优秀'],v['良好'],v['合格'],v['不合格'])

In [ ]:

import json

items = ['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'] 
filename = 'data/data_镇海2025.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)


dict3 = {}

for k, v in dict1.items():
    unit = v['banci']
    dict3.setdefault(unit,{})
    for item in items:
        dict3[unit].setdefault(item,{})
        dict3[unit][item].setdefault('score',0)
        dict3[unit][item].setdefault('count',0)
    for k1,v1 in v['fits'].items():
        if k1 in items:
            dict3[unit][k1]['score']+=v1['score']
            dict3[unit][k1]['count']+=1

for k, v in dict3.items():
    print(k)
    for k1, v1 in v.items():
        print(k1,v1['score'],v1['count'])

问卷数据处理分析

常用参数及自定义函数

In [ ]:

import json

questions = [
  [1],
  [-1, 2],
  [-1, 2],
  [-1, 8],
  [-1, 3],
  [1],
  [-1],
  [-1, 7],
  [2],
  [2],
  [2],
  [2, 3],
  [2],
  [2],
  [3],
  [3],
  [3],
  [3],
  [3],
  [4],
  [4],
  [4],
  [4],
  [4],
  [4],
  [4],
  [4],
  [5],
  [5],
  [5],
  [5],
  [5],
  [5],
  [5],
  [5],
  [6],
  [6],
  [6],
  [6],
  [6],
  [6],
  [7],
  [7],
  [7],
  [7],
  [7],
  [7],
  [8],
  [8],
  [8],
  [8],
  [8],
  [8],
  [9],
  [9],
  [9],
  [9],
  [9],
  [9],
  [9]
]

kinds = [
  '平和',
  '气虚',
  '阳虚',
  '阴虚',
  '痰湿',
  '湿热',
  '血瘀',
  '气郁',
  '特禀'
]

def tcm_calc(arr):
  qa = [8, 8, 7, 8, 8, 6, 7, 7, 7]
  # 成绩数组
  s = [0] * 9
  # 遍历五进制
  for i in range(len(questions)):
    m = arr[i] - 1
    for v in questions[i]:
      if v < 0:
        s[-v - 1] += 4 - m
      else:
        s[v - 1] += m
  return [int((v / qa[i]) * 25) for i, v in enumerate(s)]

def tcm_kind(score):
  kind = 0
  near = False
  max_kind = 0
  max_score = 0
  for i in range(1, 9):
    if score[i] > max_score:
      max_kind = i
      max_score = score[i]
  if score[0] >= 60 and max_score < 40:
    if max_score >= 30:
      near = True
      kind = max_kind
  else:
    kind = max_kind
  return {
    "kind": kind,
    "near": near
  }
list2 = ['成就感','愉快心境','放松程度','压力应对','体力充沛','情感充沛度']
list3 = [[5,7],[7,4],[7,4],[7,4],[8,1],[6,1]] 
list4 = ['颈椎','胸椎','腰椎','骶尾椎']
list5 = [[0,10,10],[10,17,7],[17,24,6],[24,26,2]]


qb = [
      1, 1, 1, 1, 1,
      4, 3, 2, 3, 2, 4, 3,
      4, 3, 2, 4, 4, 2, 4,
      3, 2, 2, 4, 3, 3, 2,
      5, 5, 5, 5, 5, 5, 5, 5,
      6, 6, 6, 6, 6, 6
    ]

计算中医体质

In [ ]:

import openpyxl

filename = 'data/result_南京化工-3.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
i = 1
list2 = []
for k, v in dict1.items():
    if 'tcm' in v.keys():
        list1 = []
        tcm =v['tcm']
        for item in tcm:
            list1.append(item)
        score = tcm_calc(list1)

        result = tcm_kind(score)
        kind = result['kind']
        near = result['near']
        #print(i,k,kinds[kind], near, score)
        #i+=1
        list3 = []
        list3.append(k)
        list3.append(v['name'])
        list3.append(v['sex'])
        list3.append(kinds[kind])
        list3.append(near)
        for item in score:
            list3.append(item)
        list2.append(list3)
print(list2)
filename = 'data/南京化工中医情况明细表（202510）.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active

for row in list2:
    sheet.append(row)
    
wb.save(filename)
print('ok')

计算心理

In [ ]:

list2 = ['成就感','愉快心境','放松程度','压力应对','体力充沛','情感充沛度']
list3 = [[5,7],[7,4],[7,4],[7,4],[8,1],[6,1]]
qb = [
      1, 1, 1, 1, 1,
      4, 3, 2, 3, 2, 4, 3,
      4, 3, 2, 4, 4, 2, 4,
      3, 2, 2, 4, 3, 3, 2,
      5, 5, 5, 5, 5, 5, 5, 5,
      6, 6, 6, 6, 6, 6
    ]
filename = 'data/result_北海炼化2024.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
list4 = []
for k, v in dict1.items():
    if 'psy' in v.keys():
        list5 = []
        psy=v['psy']
        for i in range(26,40):
            new_valve = psy[i]-1
            psy[i] = new_valve
        dict3 = {}
        
        i = 0
        for item in qb:
            dict3.setdefault(item,0)
            dict3[item] +=psy[i]
            i+=1
        #print(dict3)
        list5.append(k)
        for i in range(0,6):
            score = int(dict3[i+1]/list3[i][0]/list3[i][1]*100)
            list5.append(score)
        list4.append(list5)
filename = 'data/北海炼化心理情况明细表2024.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active

for row in list4:
    sheet.append(row)
    
wb.save(filename)
print('ok')

计算脊柱

In [ ]:

list4 = ['颈椎','胸椎','腰椎','骶尾椎']
list5 = [[0,10,10],[10,17,7],[17,24,6],[24,26,2]]
filename = 'data/result_新疆油田采油工艺研究院-1.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
list6 = []
for k, v in dict1.items():
    if 'spine' in v.keys():
        list7 = []
        spine = v['spine']
        list7.append(k)
        for i in range(0,4):
            score = 0
            for ii in range(list5[i][0],list5[i][1]):
                score+= spine[ii]
            #print(k,list4[i],int(score/list5[i][2]*100)-100)
            list7.append(int(score/list5[i][2]*100)-100)
        list6.append(list7)
filename = 'data/新疆油田采油工艺研究院脊柱情况明细表.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active

for row in list6:
    sheet.append(row)
    
wb.save(filename)
print('ok')

导出脊柱明细表

In [ ]:

list4 = ['颈椎','胸椎','腰椎','骶尾椎']
list5 = [[0,10,10],[10,17,7],[17,24,6],[24,26,2]]
filename = 'data/result_北海炼化2024.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
list6 = []
for k, v in dict1.items():
    if 'spine' in v.keys():
        list7 = []
        spine = v['spine']
        list7.append(k)
        list7.append(v['name'])
        list7.append(v['sex'])
        list7.append(v['age'])
        for i in range(0,4):
            score = 0
            for ii in range(list5[i][0],list5[i][1]):
                score+= spine[ii]
            #print(k,list4[i],int(score/list5[i][2]*100)-100)
            list7.append(int(score/list5[i][2]*100)-100)
        for item in v['spine']:
            list7.append(item)
        list6.append(list7)
filename = 'data/北海炼化脊柱情况明细表2024.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active

for row in list6:
    sheet.append(row)
    
wb.save(filename)
print('ok')

导出体质监测情况表

In [ ]:

import openpyxl

list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']
filename = 'data/result_沧州炼化-1.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
data_list = []
for k, v in dict1.items():
    list6 = []
    list6.append(str(k).rjust(4,'0'))
    list6.append(v['name'])
    list6.append(v['sex'])
    list6.append(v['unit'])
    list6.append(v['age'])
    if 'bmi' in v.keys():
        bmi = v['bmi']['成绩']
        list6.append(bmi.split(',')[0]+' 厘米')
        list6.append(bmi.split(',')[1]+' 千克')
        list6.append(v['bmi']['score'])
    else:
        list6.append('')
        list6.append('')
        list6.append('')
    for xm in list_item:
        if xm in v.keys():
            list6.append(v[xm]['成绩'])
            list6.append(v[xm]['score'])
        else:
            list6.append('')
            list6.append('')
            
    if 'tcm' in v.keys():
        list1 = []
        tcm =v['tcm']
        for item in tcm:
            list1.append(item)
        score = tcm_calc(list1)

        result = tcm_kind(score)
        kind = result['kind']
        near = result['near']
        #print(k,kinds[kind], near, score)
        list6.append(kinds[kind])
        if near:
            list6.append('是')
        else:
            list6.append('')
        for item in score:
            list6.append(item)
    else:
        for i in range(0,11):
            list6.append('')
            i+=1
    if 'psy' in v.keys():
        psy=v['psy']
        for i in range(26,40):
            new_valve = psy[i]-1
            psy[i] = new_valve
        dict3 = {}
        
        i = 0
        for item in qb:
            dict3.setdefault(item,0)
            dict3[item] +=psy[i]
            i+=1
        
        for i in range(0,6):
            score = int(dict3[i+1]/list3[i][0]/list3[i][1]*100)
            list6.append(score)
    else:
        for i in range(0,6):
            list6.append('')
            i+=1
    if 'spine' in v.keys():
        spine = v['spine']
        for i in range(0,4):
            score = 0
            for ii in range(list5[i][0],list5[i][1]):
                score+= spine[ii]
            list6.append(int(score/list5[i][2]*100)-100)
    else:
        for i in range(0,4):
            list6.append('')
            i+=1
    data_list.append(list6)
filename = 'data/沧州炼化2025年体质检测明细表.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
title = ['编号', '姓名', '性别', '单位/部门', '年龄', '身高', '体重', 'bmi', '肺活量', '得分', '握力', '得分', '坐位体前屈', '得分', '纵跳', '得分', '俯卧撑', '得分', '单脚站立', '得分', '选择反应时', '得分', '台阶指数', '得分', '一分钟仰卧起坐', '得分', '中医体质', '是否倾向', '平和', '气虚', '阳虚', '阴虚', '痰湿', '湿热', '血瘀', '气郁', '特禀', '成就感', '愉快心理', '放松程度', '压力应对', '体力充沛', '情感充沛度', '颈椎', '胸椎', '腰椎', '骶尾椎']
sheet.append(title)
for row in data_list:
    sheet.append(row)
    
wb.save(filename)

In [ ]:

104 KiB Raw Blame History

体质检测数据处理

基础数据管理

体测数据按编号汇总

体测项目标准导入

身高标准导入

生成项目信息

计算分数

计算BMI分数

生成手工成绩sql语言

体测报告生成

转换报告格式

生成完善得分

生成报告

生成报告（按照编号）

体测报告按部门分类

生成体测报告打印明细表

检查报告错误人员

体质检测数据管理

数据导入Mycrm

导入系统人员信息

导入测试项目item

导入一级部门

导入二级部门

生成部门JSON文件

导入人员信息

导入测试成绩及得分

二级部门导入

一级部门导入

体质测试综合报告数据分析

清理报告数据

计算平均成绩

计算测试等级

计算各年龄段测试等级(女）

计算各年龄段测试等级(男）

根据年龄汇总人员信息及成绩

根据年龄汇总人员信息及成绩（男）

根据年龄汇总人员信息及成绩（女）

计算各项目成绩

按照部门计算平均成绩

按照部门计算平均成绩（女性）

计算部门等级

计算部门成绩

统计班次成绩

统计班次测试等级

问卷数据处理分析

常用参数及自定义函数

计算中医体质

计算心理

计算脊柱

导出脊柱明细表

导出体质监测情况表

104 KiB

Raw Blame History