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512song 9ec7907bde 20251030

2025-10-30 08:24:56 +08:00

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体质测试2024年

体测人员导入

In [ ]:

import openpyxl
import json
from datetime import date

wb = openpyxl.load_workbook('data/镇海参加测试人员名单（合并）.xlsx')
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
    dict1['unit'] = sheet.cell(n, 5).value
    if sheet.cell(n, 6).value is not None:
        dict1['gh'] = sheet.cell(n, 6).value
    dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0] 
    if sheet.cell(n, 7).value is not None:
        dict1['phone'] = str(sheet.cell(n,7).value)
    person[code] = dict1
filename = 'data/镇海（合并）.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print('ok')

生成读卡系统文件

In [6]:

import json

filename = 'data/镇海.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/card_镇海.json", "w",encoding = 'utf-8') as file:
    file.write(json_data)   
print('ok')

ok

获取人员测试成绩

In [ ]:

import json
import time
import csv

filename = '../item.json'
item = {}
unit = {}
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for k,v in dict1.items():
    item[k] = v
re_ta = {}
dict1 = {}
list1 = []
filename = 'data/镇海（合并）.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 

filename = 'data/places_result_20240922.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)
for result in list1:
    user = str(result[2])
    if user in dict1.keys():        
        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]['unit'] = dict1[user]['unit']
        #re_ta[user]['sub_unit'] = dict1[user]['sub_unit']
        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))
filename = 'data/result_镇海（合并）.json'

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

导出测试人员信息

In [ ]:

import json
import openpyxl

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','姓名','性别','单位','部门','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']

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

filename = 'data/镇海体测人员.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl)
    
list1 = []
for k, v in dict1.items():
    list2 = []
    list2.append(str(k).rjust(5,'0'))
    list2.append(v['name'])    
    list2.append(dict2[k]['sex'])
    list2.append(dict2[k]['unit'])    
    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('')
    list2.append(dict2[k]['gwxl'])
    list2.append(dict2[k]['gzz'])
    list1.append(list2)
filename = 'data/镇海体测情况表.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)

统计未体测人员明细表

In [ ]:

import json
import openpyxl

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

filename = 'data/镇海1.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl)

list1 = []

i = 1
for k, v in dict2.items():    
    if k not in dict1.keys():
        list2 = [i,k,v['name'],v['unit']]
        i+=1
        list1.append(list2)
#print(list1)
filename = f'data/镇海未测试人员名单（截至20240922）.xlsx'
title = ['序号','员工编号','姓名','部门']
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)    
wb.save(filename)

清理重复人员

In [ ]:

import json

filename = 'data/镇海.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
print(len(dict1))
dict2 = {}
for k, v in dict1.items():
    if 'phone' in v.keys():
        dict2.setdefault(k,{})
        dict2[k]['name'] = v['name']
        dict2[k]['phone'] = v['phone']

list1 = []
for k, v in dict2.items():
    i = 0
    for k1, v1 in dict1.items():
        if v['name']== v1['name'] and v['phone'] == v1['phone'] and k1 != k:
            list1.append(max(int(k),int(k1)))
for item in set(list1):
    del dict1[str(item)]
print(len(dict1))
filename = 'data/镇海1.json'

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

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

filename = 'data/places_result_20240922.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_镇海（合并）.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 = '../item.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_镇海（合并）.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_镇海（合并）.json'
with open(filename,'w') as fl:
    json.dump(dict2,fl , ensure_ascii=False) 
print('ok!')

生成体测成绩明细表

In [ ]:

import json
import openpyxl

items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']
bmi = ['height','weight']
title = ['编号','姓名','性别','单位/部门','身高','体重','bmi','肺活量','','握力','','坐位体前屈','','纵跳','','俯卧撑','','一分钟仰卧起坐','','单脚站立','','选择反应时','','台阶指数']

filename = 'data/result_镇海（合并）.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

list1 = []
for k, v in dict1.items():    #print(k,dict2[str(k)]['name'])
    list2 = []
    list2.append(str(k).rjust(5,'0'))
    list2.append(dict1[k]['name'])    
    list2.append(dict1[k]['sex'])
    list2.append(dict1[k]['unit'])
    i = 0
    if 'bmi' in dict1[k].keys():
        list2.append(dict1[k]['height']['成绩'])
        list2.append(dict1[k]['weight']['成绩'])
        list2.append(dict1[k]['bmi']['score'])
        i+=1
    else:
        list2.append('') 
        list2.append('') 
        list2.append('') 
           
        
    for item in items:
        if item in dict1[k].keys():
            list2.append(dict1[k][item]['成绩'])
            list2.append(dict1[k][item]['score']) 
            i+=1
        elif item =='name':
            list2.append(dict1[k][item])
        else:
            list2.append('') 
            list2.append('') 
    if i>2:
        list1.append(list2)
filename = 'data/镇海体测情况明细表.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)
print('ok')

生成报告

In [ ]:

import requests
import json
import openpyxl


headers = {
    "Content-Type": "application/json; charset=UTF-8"
    }
filename = 'data/result_镇海（合并）.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
list1 = []
file_path ='./镇海石化/'
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'] = '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)

统计报告人员信息

In [ ]:

import json
import glob
from pathlib import Path
import openpyxl

filename = 'data/镇海.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
fi_path = '/home/songyi/python/mycrm/flask/pdf/files/345321'
fls = glob.glob(f'{fi_path}/*.pdf')
dict2 = {}
for fn in fls:
    
    fi_name =Path(fn).stem.split('-')[0]
    #fi_name =Path(fn).stem
    code = int(fi_name)
    dict2[str(code)] = dict1[str(code)]
filename = 'data/镇海体测人员.json'
with open(filename,'w') as fl:
    json.dump(dict2,fl , ensure_ascii=False) 
print(len(dict2)) 
list1 = []
for k, v in dict2.items():  
    list2 = []
    if 'gh' in v.keys():
        gh = v['gh']
    else:
        gh = ''
    if 'phone' in v.keys():
        phone = v['phone']
    else:
        phone = ''
    list2 = [k,v['name'],v['sex'],v['birth'],v['unit'],gh,phone]
    list1.append(list2)
#print(list1)
filename = 'data/镇海参加测试人员名单.xlsx'
title = ['序号','员工编号','姓名','部门']
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)    
wb.save(filename)

补充报告人员信息

In [ ]:

import json
import glob
from pathlib import Path
import openpyxl


filename = 'data/镇海体测人员.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
wb = openpyxl.load_workbook('data/镇海炼化参加测试人员名单（分析用）.xlsx')
sheet = wb.active
for n in range(2, sheet.max_row+1):
    if sheet.cell(n, 12).value is not None:
        code = int(sheet.cell(n, 1).value)
        if sheet.cell(n, 12).value is not None:
            dict1[str(code)]['gwlb'] = sheet.cell(n, 12).value
        dict1[str(code)]['gwxl'] = sheet.cell(n, 9).value
        dict1[str(code)]['gzz'] = sheet.cell(n, 11).value

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

核验报告人员信息

In [ ]:

import openpyxl
import json
from datetime import date

wb = openpyxl.load_workbook('data/镇海炼化参加测试人员名单.xlsx')
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
    dict1['unit'] = sheet.cell(n, 5).value
    if sheet.cell(n, 6).value is not None:
        dict1['gh'] = sheet.cell(n, 6).value
    dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0] 
    if sheet.cell(n, 7).value is not None:
        dict1['phone'] = str(sheet.cell(n,7).value)
    if len(str(sheet.cell(n,7).value))<11:
        print(code,sheet.cell(n, 2).value)
    person[code] = dict1
filename = 'data/镇海炼化参加测试人员.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print(len(person))

生成查询信息

In [ ]:

import openpyxl
import os,sys,shutil
import json
import math
import glob
import random
from pathlib import Path
import pymongo

myclient = pymongo.MongoClient('mongodb://localhost:27017/')
mydb = myclient["baogao"]
mycol = mydb["pdf"]

place_id = 345321

fi_path = '/home/songyi/python/mycrm/flask/pdf/files'
fls = glob.glob(f'{fi_path}/{str(place_id)}/*.pdf')

filename = 'data/镇海炼化参加测试人员.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
for fn in fls:
    dict2 = {}
    fi_name =Path(fn).stem.split('-')[0]
    #fi_name =Path(fn).stem
    code = int(fi_name)
    dxm = dict1[str(code)]['gh']
    dict2 = {'place_id':place_id,'code':dxm,'fn':Path(fn).name}
    list2.append(dict2)
    i +=1
x = mycol.insert_many(list2)
print('ok')

根据工号生成查询信息

In [ ]:

import json
filename = 'data/镇海炼化参加测试人员.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
list1 = []
list2 = []
set1 = set()
for k, v in dict1.items():
    if 'gh' in v.keys():
        gh = v['gh']
        if gh not in list1:
            list1.append(v['gh'])
        else:
            list2.append(gh)
print(list2)

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/镇海石化'
new_path = 'file/镇海石化'
old = []
dict2 = {}

filename = 'data/镇海炼化参加测试人员.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
fls = glob.glob(f'{fi_path}/*.pdf')
for fn in fls:
    fi_name =Path(fn).stem.split('-')[0]
    code = 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)

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/镇海石化'

filename = 'data/镇海炼化参加测试人员.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 = 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/镇海石化体测报告明细表.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename) 
print('ok')

体质测试综合报告数据分析

清理报告数据

In [ ]:

import json
import openpyxl


filename = 'data/result_镇海（合并）.json'
with open(filename,'r',encoding = 'utf-8') 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_镇海（合并）.json'
with open(filename,'w') as fl:
    json.dump(dict2,fl , ensure_ascii=False) 
print('ok!')

报告按照工作制分类

In [ ]:

import json
import openpyxl


filename = 'data/result_镇海2.json'
with open(filename,'r',encoding = 'utf-8') as fl:
    dict1 = json.load(fl)
filename = 'data/镇海体测人员.json'
with open(filename,'r',encoding = 'utf-8') as fl:
    dict3 = 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():
    if dict3[k]['gzz'] == '倒班':
        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_镇海_倒班.json'
with open(filename,'w') as fl:
    json.dump(dict2,fl , ensure_ascii=False) 
print(len(dict2))

计算平均成绩

In [ ]:

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]
filename = 'data/data_镇海（合并）.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')

计算测试等级

In [ ]:

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')

计算各年龄段测试等级(女）

In [ ]:

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)

计算各年龄段测试等级(男）

In [ ]:

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)

根据年龄汇总人员信息及成绩

In [ ]:

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')

根据年龄汇总人员信息及成绩（男）

In [ ]:

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')

根据年龄汇总人员信息及成绩（女）

In [ ]:

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')

计算各项目成绩

In [ ]:

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)

按照部门计算平均成绩

In [ ]:

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)

按照部门计算平均成绩（男性）

In [ ]:

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'] and v['sex'] == '男':
            score = score + v['score']
            n = n +1 
    if n>0:
        print(item,round(score/n,2),n)
    else:
        print(item,0,n)

计算部门成绩

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

filename = 'data/镇海（合并）.json'
with open(filename,'r') as fl:
    dict2 = 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'])

计算部门等级

In [ ]:

import json

items = ['优秀','良好','合格','不合格'] 
filename = 'data/data_镇海（合并）.json'
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'])

体质测试2025年

体测人员导入

In [ ]:

import openpyxl
import json
from datetime import date

wb = openpyxl.load_workbook('data/镇海人员2025.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
person = {}

for n in range(2, sheet.max_row+1):
    code = sheet.cell(n, 5).value
    person.setdefault(code, {})
    dict1 = {}
    dict1['name'] = sheet.cell(n, 2).value
    dict1['sex'] = sheet.cell(n, 3).value
    dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0] 
    dict1['unit'] = sheet.cell(n, 7).value
    dict1['phone'] = sheet.cell(n, 4).value
    person[code] = dict1
filename = 'data/镇海人员2025.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print(len(person),'ok')

生成读卡系统文件

In [7]:

import json

filename = 'data/镇海人员2025.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/card_镇海2025.json", "w",encoding = 'utf-8') as file:
    file.write(json_data)   
print(len(list1),'ok')

1383 ok

合并读卡系统文件

In [13]:

import json

filename = 'data/镇海人员2025.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

filename = 'data/data_镇海2025.json'
with open(filename,'r') as fl:
    list1 = json.load(fl)
for item in list1:
    code = item['id'].lower()
    if code not in dict1.keys():
        print(code,item['name'],item['unit'])
        code = code.lower()
        dict1.setdefault(code,{})
        dict1[code]['name'] = item['name']
        dict1[code]['sex'] = item['gender']
        dict1[code]['unit'] = item['unit']
        dict1[code]['birth'] = item['birth']
filename = 'data/镇海人员2025.json'
with open(filename, 'w') as fl:
    json.dump(dict1, fl, ensure_ascii=False)
print(len(dict1),'ok')

019698 张毅 公用工程二部
019210 张雨婷 公用工程二部
022238 赵若程 电气中心
019810 孟玫 油库中心
021551 朱浩 炼油一部
010517 胡明 烯烃一部
015967 牛姗 烯烃一部
012920 娄形宇 电气中心
019130 魏巍 电气中心
012233 方健 烯烃一部
014585 杨恒平 质管中心
012785 乐幸 烯烃一部
021124 吴焕妍 炼油二部
021532 范展鹏 储运一部
011878 王可 公用工程一部
020838 王安东 电气中心
021429 张博伟 电气中心
016333 姜媚媚 公司机关
015474 万忠荣 化学制品部
015869 李萌萌 炼油四部
007608 汪海渊 储运一部
010250 王国维 氢能制造部
019332 严偲浩 公司机关
015859 罗信 采购中心
018940 李云鹏 炼油四部
012240 邵晓 采购中心
010536 陈炜敏 采购中心
015693 邵金燕 公司机关
019268 邹兆宁 公司机关
020208 孙书伟 采购中心
019167 吴涵华 新材料研究院
012067 阮继春 炼油五部
021192 舒润发 化学制品部
015086 王东伟 公司机关
019042 李刚 储运一部
011455 任奇伟 炼油四部
014748 王静 公用工程一部
015669 周慧芬 公用工程一部
021804 蓝海涛 储运一部
020138 牛丙波 新材料研究院
023552 李宇 烯烃二部
012802 胡庆球 公司机关
019017 周靖 烯烃一部
016056 于海 储运一部
015919 冯辉 烯烃二部
019764 曹华林 油库中心
019668 覃江宜 电气中心
023169 王武 电气中心
018979 林冠宇 合成材料部
023027 邓孜瑶 炼油一部
015512 王娜 烯烃一部
020194 徐梦莹 油库中心
019760 常亚男 油库中心
020801 陈冲 炼油三部
1464 ok

规范人员编号

In [ ]:

import json

filename = 'data/镇海人员2025.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
dict2 = {}
for k, v in dict1.items():
    new_k = k.lower()
    dict2[new_k] = v
filename = 'data/镇海人员2025-1.json'
with open(filename, 'w') as fl:
    json.dump(dict2, fl, ensure_ascii=False)
print(len(dict1),'ok')

获取人员测试成绩

In [15]:

import json
import datetime
import csv
from datetime import date
import my_module1 as My

filename = 'data/镇海人员2025.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
filename = 'data/marks_20251029.csv'
re_ta = My.get_result(filename,dict1)


filename = 'data/result_镇海2025.json'
with open(filename,'w') as fl:
    json.dump(re_ta, fl, ensure_ascii=False) 
print(len(re_ta))

获取人员测试成绩（上午）

In [ ]:

import json
import datetime
import csv
from datetime import date
import my_module1 as My

filename = 'data/镇海人员2025.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
filename = 'data/marks_20251027-1.csv'
re_ta = My.get_result(filename,dict1)


filename = 'data/result_镇海2025.json'
with open(filename,'w') as fl:
    json.dump(re_ta, fl, ensure_ascii=False) 
print(len(re_ta))

生成测试得分

In [ ]:

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_镇海2025.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 = f'data/result_镇海2025.json'
with open(filename,'w') as fl:
    json.dump(dict2,fl , ensure_ascii=False) 
print('ok!')

导出测试人员信息

In [ ]:

import json
import openpyxl

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','姓名','性别','单位','部门','身高','体重','肺活量','握力','坐位体前屈','纵跳','俯卧撑','一分钟仰卧起坐','单脚站立','选择反应时','台阶指数']

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

filename = 'data/镇海人员2025.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl)
    
list1 = []
for k, v in dict1.items():
    list2 = []
    list2.append(str(k).rjust(5,'0'))
    list2.append(v['name'])    
    list2.append(dict2[k]['sex'])
    list2.append(dict2[k]['unit'])    
    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('')
    #list2.append(dict2[k]['gwxl'])
    #list2.append(dict2[k]['gzz'])
    list1.append(list2)
filename = 'data/镇海体测情况表（截至20251027）-1.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)

统计各部门测试情况

In [16]:

import json

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

filename = 'data/镇海人员2025.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl)

dict3 = {}
for k, v in dict2.items():
    unit = v['unit']
    #sub_unit = v['sub_unit']
    dict3.setdefault(unit,{})
    dict3[unit].setdefault('人数',0)
    dict3[unit].setdefault('体测人数',0)
    #dict3[unit].setdefault(sub_unit,0)
    #dict3[unit][sub_unit] = dict3[unit][sub_unit] + 1
    dict3[unit]['人数'] = dict3[unit]['人数'] + 1

title =['单位','体测人数']
list1 = []
for k,v in dict1.items():    
    unit = v['unit']
    #sub_unit = v['sub_unit']
    #dict3[unit][sub_unit] = dict3[unit][sub_unit] - 1
    dict3[unit].setdefault('体测人数',0)
    dict3[unit]['体测人数'] = dict3[unit]['体测人数'] + 1
for k, v in dict3.items():
    list2 = [k,v['人数'],v['体测人数']]
    list1.append(list2)

filename = 'data/镇海部门测试情况（截至20251029）.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)

In [ ]:

filename = 'data/result_镇海2025.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl) 
i = 1
for k, v in dict2.items():
    if 'bmi' in v.keys():
        print(i,k,v['name'])
        i+=1

In [ ]:

68 KiB Raw Blame History

体质测试2024年

体测人员导入

生成读卡系统文件

获取人员测试成绩

导出测试人员信息

统计未体测人员明细表

清理重复人员

转换报告格式

生成完善得分

生成体测成绩明细表

生成报告

统计报告人员信息

补充报告人员信息

核验报告人员信息

生成查询信息

根据工号生成查询信息

体测报告按部门分类

生成体测报告打印明细表

体质测试综合报告数据分析

清理报告数据

报告按照工作制分类

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（男性）

计算部门成绩

计算部门等级

体质测试2025年

体测人员导入

生成读卡系统文件

合并读卡系统文件

规范人员编号

获取人员测试成绩

获取人员测试成绩（上午）

生成测试得分

导出测试人员信息

统计各部门测试情况

68 KiB

Raw Blame History