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512song b424b0f3b6 20250613

2025-06-13 18:32:13 +08:00

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2023年体质检测

导入人员信息

In [ ]:

import openpyxl
import json


wb = openpyxl.load_workbook('data/student_20140922(东营工程设计院监测花名册2023年) .xlsx')
sheet = wb.active
# sheets = wb.sheetnames
person = {}

for n in range(2, sheet.max_row+1):
    if sheet.cell(n,1).value is not None:
        code = int(sheet.cell(n, 4).value)
        person.setdefault(code, {})
        dict1 = {}
        dict1['name'] = sheet.cell(n, 6).value
        if sheet.cell(n, 7).value ==1:
            sex = '男'
        else:
            sex = '女'
        dict1['sex'] = sex
        dict1['unit'] = sheet.cell(n, 3).value


        person[code] = dict1
filename = 'data/东营工程设计院人员名单.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print('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 = []
#print("\n运动项目信息：")
filename = 'data/141.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[4])
    m_item = str(result[0])    
    re_ta.setdefault(user,{})    
    re_ta[user]['name'] = str(result[6])
    re_ta[user]['unit'] = str(result[5])    
    item_name = item[m_item]['name']
    re_ta[user].setdefault(item_name,{})  
    score = int(result[1])/item[m_item]['divisor']    
    re_ta[user][item_name]['成绩'] = f'{score} {item[m_item]["unit"]}'
    re_ta[user][item_name]['得分'] =result[2]
filename = 'data/result_东营石油工程设计院.json'
with open(filename,'w') as fl:
    json.dump(re_ta, fl) 
print('ok')

获取人员测试成绩（新格式）

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

dict1 = {}
list1 = []
#print("\n运动项目信息：")
filename = 'data/141.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)
list2 = []
re_ta = {}
for result in list1:
    user = str(result[4])
    m_item = str(result[0])    
    re_ta.setdefault(user,{})    
    re_ta[user]['name'] = str(result[6])
    re_ta[user]['unit'] = str(result[5])    
    item_name = item[m_item]['name']
    re_ta[user].setdefault(item_name,{})  
    score = int(result[1])/item[m_item]['divisor']    
    re_ta[user][item_name]['成绩'] = f'{score} {item[m_item]["unit"]}'
    re_ta[user][item_name]['得分'] =result[2]
for k, v in re_ta.items():
    dict2 = {}
    dict2['code'] = k
    for k1, v1 in v.items():
        dict2[k1] = v1
    list2.append(dict2)
dict3 = {}
dict3['result'] = list2
filename = 'data/result_东营石油工程设计院(new).json'
with open(filename,'w') as fl:
    json.dump(dict3, fl) 
print('ok')

导出测试成绩

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_东营石油工程设计院.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

filename = 'data/东营工程设计院人员名单.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('') 
    list1.append(list2)
filename = 'data/东营石油工程设计院体测情况表.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)

In [ ]:

import json
import openpyxl
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
#SQL语句为：
#SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name,a.date_joined FROM places_result AS a,_tianjin AS b WHERE a.place_id=134 AND a.avatar_id=b.id
filename = 'data/东营工程设计院人员名单.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl) 

list1 = []
#print("\n运动项目信息：")
filename = 'data/141.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)
dict3 = {}
for result in list1:
    user = result[2]
    if user in dict2.keys():
        dict3.setdefault(user,{})  
        dict3[user]['name'] = dict2[user]['name']
        dict3[user]['unit'] = dict2[user]['unit']

print(len(dict3))
list1 = []
for k, v in dict3.items():
    list2 = [k,v['name'],v['unit']]
    list1.append(list2)
filename = 'data/东营工程设计院参加测试人员情况表.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active

for row in list1:
    sheet.append(row)
    
wb.save(filename)

体测报告更名按部门分组

In [ ]:

import os,sys,shutil
import json
import math
import openpyxl
wb = openpyxl.load_workbook('data/东营工程设计院参加测试人员情况表.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
dict1 = {}
list_bh = []
depart = []
for n in range(1,sheet.max_row+1):
    dict1.setdefault(sheet.cell(n, 1).value,{})    
    m_depart = sheet.cell(n, 3).value
    dict1[sheet.cell(n, 1).value]['unit'] = m_depart
    dict1[sheet.cell(n, 1).value]['name'] = sheet.cell(n, 2).value
    if m_depart not in depart:
        depart.append(m_depart)
old = []

        
fi_path = 'file/141'


# 创建部门办公室    
m_path = 'file/141/new'
for pn in depart:
    if not os.path.exists(m_path + '/' + pn):
        os.mkdir(m_path + '/' + pn)
fl=os.listdir(fi_path)
for fn in fl:
    if os.path.isfile(fi_path + '/' + fn):
        ofn = int(fn.split('.')[0])
        old.append(ofn) 
old.sort()
for n in old:    
    o_name = f'{fi_path}/{n}.pdf'
    unit = dict1[str(n)]['unit']
    name = dict1[str(n)]['name']
    n_name = f'{m_path}/{unit}/{str(n).rjust(5,"0")}-{name}.pdf'
    #print(o_name,n_name)
    if not os.path.exists(n_name):
        shutil.copyfile(o_name,n_name)
        print(n_name)

体测报告分析

获取人员信息

In [ ]:

import json
import pymysql
import datetime

dict1 = {}
dict2 = {}
dict3 = {}

db = pymysql.connect(host = "localhost",user = "songyi",password = "yylzs",database = "ydyb" )
cursor = db.cursor()
sql = "SELECT b.avatar_id, a.name ,a.sex,a.birth FROM people as a,places_people as b WHERE a.id =b.people_id AND  b.place_id = 141"
cursor.execute(sql)
results = cursor.fetchall()
for result in results:
    bh = result[0]
    
    name = str(result[1]).strip()
    dict2.setdefault(bh,{})
    dict2[bh]['name'] = name
    dict2[bh]['sex'] = result[2]
    #dict2[bh]['birth'] = result[3]
    #print(result[3])
    days = (datetime.date(2023, 3, 6)-result[3]).days
    dict2[bh]['age'] = round(days/365)

filename = 'data/东营工程设计院人员信息.json'
with open(filename, 'w') as fl:
    json.dump(dict2, fl, ensure_ascii=False)
print('ok')

获取人员及体测成绩

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
#SQL语句为：
#SELECT a.item_id,a.performance,a.score,a.date AS DATE1,a.avatar_id,b.unit,b.name,a.date_joined FROM places_result AS a,_tianjin AS b WHERE a.place_id=134 AND a.avatar_id=b.id

re_ta = {}
dict1 = {}
list1 = []
#print("\n运动项目信息：")
filename = 'data/141.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[4])
    m_item = str(result[0])    
    re_ta.setdefault(user,{})    
    re_ta[user]['name'] = str(result[6])
    re_ta[user]['unit'] = str(result[5])    
    item_name = item[m_item]['name']
    re_ta[user].setdefault(item_name,{})  
    score = int(result[1])/item[m_item]['divisor']    
    re_ta[user][item_name]['成绩'] = f'{score} {item[m_item]["unit"]}'
    re_ta[user][item_name]['得分'] =result[2]
filename = 'data/result_东营设计院.json'
with open(filename,'w') as fl:
    json.dump(re_ta, fl) 
print('ok')

汇总人员信息及成绩

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/result_东营设计院.json'

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

filename = 'data/东营工程设计院人员信息.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl) 
for k,v in dict1.items():
    print(k)
    score = 0
    i = 0
    for k1,v1 in v.items():
        
        
        if k1 in items:
            score = score + int(v1['得分'])
            i+=1
    
    dict1[k]['age'] = dict2[k]['age']
    dict1[k]['sex'] = dict2[k]['sex']
    dict1[k]['score'] = round(score/i,2)
            
filename = 'data/result_东营设计院.json'
with open(filename,'w') as fl:
    json.dump(dict1, fl) 
print('ok')

根据年龄汇总人员信息及成绩

In [ ]:

import json

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,59],[60,69]]
filename = 'data/result_东营设计院.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for item in nld:
    di = item[0]
    gao = item[1]
    i = 1
    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'] == 0:
                m = m +1
            
    print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i-1}人,男性：{m}人')

计算平均成绩及等级

In [ ]:

import json

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,59],[60,69]]
filename = 'data/result_东营设计院.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 

i = 1
score = 0

m = 0
f = 0
for k,v in dict1.items():
    if v['sex'] == 0:
        m = m+v['score']
    else:
        f = f+v['score']
    score = score + v['score']

print(f'平均成绩：{round(score/336,2)}分，男性：{round(m/203,2)}分,女性：{round(f/133,2)}')

计算测试等级

In [ ]:

import json

filename = 'data/result_东营设计院.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]
filename = 'data/result_东营设计院.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
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'] == 0:
                m = m +1
            else:
                f = f+1
    print(f'{di}~{gao}分人数：{i}人,男性：{m}人,女性:{f}人')
filename = 'data/result_东营设计院.json'
with open(filename,'w') as fl:
    json.dump(dict1, fl) 
print('ok')

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],[55,59],[60,69]]
filename = 'data/result_东营设计院.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]
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'] == 0:
                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(女）

In [ ]:

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,59],[60,69]]
filename = 'data/result_东营设计院.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]
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'] == 1:
                dict3[age][v['level']] = dict3[age][v['level']]+1
            
for k, v in dict3.items():
    print(k,v)

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 
    print(item,round(score/n,2),n)

计算各项目成绩

In [ ]:

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

使用JMESPath查询

In [ ]:

from jmespath import search
filename = 'data/result_东营石油工程设计院(new).json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
unit = "建筑设计所"
data = search("result[?unit== '建筑设计所'].[name,unit]",dict1)
print(data)

2024年体质检测

导入人员信息

In [46]:

import openpyxl
import json


wb = openpyxl.load_workbook('data/东营石油工程设计公司（2024）.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
person = {}

for n in range(2, sheet.max_row+1):
    if sheet.cell(n,1).value is not None:
        code = int(sheet.cell(n, 1).value)
        person.setdefault(code, {})
        dict1 = {}
        dict1['name'] = sheet.cell(n, 3).value
        dict1['sex'] = sheet.cell(n, 4).value
        dict1['unit'] = sheet.cell(n, 2).value
        if sheet.cell(n, 7).value is not None:
            dict1['gh'] = sheet.cell(n, 7).value
        #dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0] 
        if sheet.cell(n, 6).value is not None:
            dict1['phone'] = str(sheet.cell(n,6).value)
        dict1['birth'] = str(sheet.cell(n, 5).value).replace('/','-').split(' ')[0] 
        #dict1['gh'] = str(sheet.cell(n, 7).value)
        person[code] = dict1
filename = 'data/东营工程设计院2024.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print('ok')

ok

获取人员测试成绩（新格式）

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/东营工程设计院2024.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 

filename = 'data/places_result_20240926.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]['birth'] = dict1[user]['birth'] 
        re_ta[user]['phone'] = dict1[user]['phone'] 
        re_ta[user]['gh'] = dict1[user]['gh'] 
        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_东营工程设计院2024.json'

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

导入问卷信息

In [47]:

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

filename = 'data/result_东营工程设计院2024.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 

filename = 'data/东营工程设计院2024.json'
with open(filename,'r') as fl:
    dict3 = json.load(fl)

phone =  {}
for k,v in dict3.items():
    if 'phone' in v.keys():
        phone[v['phone']] = k
list1 = []
filename = 'data/Survey_20241008.csv'
with open(filename,'r',newline='') as csv_file:
    fl = csv.reader(csv_file,delimiter=',')
    header = next(fl)    
    for line in fl:
        list1.append(line)
#print(list1)
dict2 = {}
psy =[]
tcm = []
spine = []

for i in range(0,60):
    tcm.append(0)


for item in list1:
    if item[2] in phone.keys():        
        tcm = []    
        for i in range(0,60):
            tcm.append(0)
        content = json.loads(item[5])
        rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])
        if phone[item[2]] not in dict1.keys():
            dict1[phone[item[2]]] = dict3[phone[item[2]]]
            
            #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])
        for k, v in content.items():            
            if 'tcm' in k:
                i = int(k[3:])
                tcm[i-1] = int(v)
            
        if 'tcm' in item[5]:
            dict1[phone[item[2]]]['tcm'] = tcm
        birth = date.fromisoformat(dict3[phone[item[2]]]['birth'].replace('/','-'))
        
        days =  (rq-birth).days          
        dict1[phone[item[2]]]['age'] = int(days/365)
        dict1[phone[item[2]]]['month'] = int(days/365*12)
filename = 'data/result_东营工程设计院2024_all.json'

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

统计未参加问卷人员

In [ ]:

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

filename = 'data/result_东营工程设计院2024.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 

filename = 'data/东营工程设计院2024.json'
with open(filename,'r') as fl:
    dict3 = json.load(fl)

phone =  {}
for k,v in dict3.items():
    if 'phone' in v.keys():
        phone[v['phone']] = k
list1 = []
filename = 'data/Survey_20241008.csv'
with open(filename,'r',newline='') as csv_file:
    fl = csv.reader(csv_file,delimiter=',')
    header = next(fl)    
    for line in fl:
        list1.append(line)
#print(list1)
dict2 = {}
tcm = []
for item in list1:
    if item[2] in phone.keys():        
        tcm = []    
        for i in range(0,60):
            tcm.append(0)
        content = json.loads(item[5])
        rq = date.fromisoformat(item[6].replace('/','-').split(' ')[0])
        if phone[item[2]] not in dict1.keys():
            dict1[phone[item[2]]] = dict3[phone[item[2]]]
            
            #dict1[phone[item[2]]]['rq'] = date.fromisoformat(item[6].replace('/','-').split(' ')[0])
        for k, v in content.items():            
            if 'tcm' in k:
                i = int(k[3:])
                tcm[i-1] = int(v)
            
        if 'tcm' in item[5]:
            dict1[phone[item[2]]]['tcm'] = tcm
        birth = date.fromisoformat(dict3[phone[item[2]]]['birth'].replace('/','-'))
        
        days =  (rq-birth).days          
        dict1[phone[item[2]]]['age'] = int(days/365)
        dict1[phone[item[2]]]['month'] = int(days/365*12)
    else:
        print(item[2])
filename = 'data/result_东营工程设计院2024_all.json'

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

In [ ]:

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

filename = 'data/result_东营工程设计院2024_all.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 

i = 1
for k, v in dict1.items():
    if 'tcm' not in v.keys():
        print(i,k,v['name'])
        i+=1

In [ ]:

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

filename = 'data/result_东营工程设计院2024.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 

filename = 'data/东营工程设计院2024.json'
with open(filename,'r') as fl:
    dict3 = json.load(fl)

phone =  {}
for k,v in dict3.items():
    if 'phone' in v.keys():
        phone[v['phone']] = k
list1 = []
filename = 'data/Survey_20241008.csv'
with open(filename,'r',newline='') as csv_file:
    fl = csv.reader(csv_file,delimiter=',')
    header = next(fl)    
    for line in fl:
        list1.append(line)
for item in list1:
    if item[2] in phone.keys() and phone[item[2]] not in dict1.keys(): 
        print(phone[item[2]])

导出带得分体测情况明细表

In [2]:

import json
import openpyxl

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

filename = 'data/result_东营工程设计院2024.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]['age'])
    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/东营工程设计院体测情况明细表.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)
print('ok')

ok

2025年体质检测

体测人员导入

In [5]:

import openpyxl
import json


wb = openpyxl.load_workbook('data/石油工程设计有限公司人员2025.xlsx',data_only=True)
sheet = wb.active
# sheets = wb.sheetnames
person = {}

for n in range(2, sheet.max_row+1):
    code = int(sheet.cell(n, 1).value)
    person.setdefault(code, {})
    dict1 = {}
    dict1['name'] = sheet.cell(n, 3).value
    dict1['sex'] = sheet.cell(n, 4).value
    dict1['unit'] = sheet.cell(n, 6).value
    dict1['birth'] = str(sheet.cell(n, 5).value).replace('/','-').split(' ')[0] 
    if sheet.cell(n, 7).value is not None:
        dict1['phone'] = sheet.cell(n,7).value
    #dict1['id'] = str(sheet.cell(n,2).value)
    person[code] = dict1
filename = 'data/东营石油工程设计院2025.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print('ok')

ok

生成读卡系统文件

In [7]:

import json

filename = 'data/东营石油工程设计院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_东营石油工程设计院2025.json", "w",encoding = 'utf-8') as file:
    file.write(json_data)   
print('ok')

ok

获取人员测试成绩

In [6]:

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

filename = 'data/东营石油工程设计院2025.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
filename = 'data/marks_20250609.csv'
re_ta = My.get_result(filename,dict1)


filename = 'data/result_东营石油工程设计院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 [7]:

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_东营石油工程设计院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_东营石油工程设计院2025.json'
with open(filename,'w') as fl:
    json.dump(dict2,fl , ensure_ascii=False) 
print('ok!')

ok!

导出测试人员信息

In [13]:

import json
import openpyxl

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

filename = 'data/result_东营石油工程设计院2025.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

filename = 'data/东营石油工程设计院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'])
    if 'bmi' in v.keys():
        height = v['bmi']['成绩'].split(',')[0]
        weight = v['bmi']['成绩'].split(',')[1]
        list2.append(height)
        list2.append(weight)
    else:
        list2.append('')
        list2.append('')
    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 = 'data/东营石油工程设计院情况表2025.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)

生成报告

In [4]:

import requests
import json
import openpyxl


headers = {
    "Content-Type": "application/json; charset=UTF-8"
    }
filename = 'data/result_东营石油工程设计院2025.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
list1 = []
file_path ='./东营石油设计院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(4,"0")
    mydata['path'] = file_path+id+'-'+ v['name']+'.pdf'
    mydata['title'] = '东营石油设计院'
    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','psy57','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 [ ]:

52 KiB Raw Blame History

2023年体质检测

导入人员信息

获取人员测试成绩

获取人员测试成绩（新格式）

导出测试成绩

体测报告更名按部门分组

体测报告分析

获取人员信息

获取人员及体测成绩

汇总人员信息及成绩

根据年龄汇总人员信息及成绩

计算平均成绩及等级

计算测试等级

计算各年龄段测试等级(男）

计算各年龄段测试等级(女）

按照部门计算平均成绩

计算各项目成绩

使用JMESPath查询

2024年体质检测

导入人员信息

获取人员测试成绩（新格式）

导入问卷信息

统计未参加问卷人员

导出带得分体测情况明细表

2025年体质检测

体测人员导入

生成读卡系统文件

获取人员测试成绩

生成测试得分

导出测试人员信息

生成报告

52 KiB

Raw Blame History