jupyter/体测单位/镇海.ipynb

体测人员导入

In [26]:

import openpyxl
import json
from datetime import date

wb = openpyxl.load_workbook('data/镇海体质监测报名.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, 7).value
    dict1['gh'] = sheet.cell(n, 5).value
    dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0] 
    dict1['phone'] = str(sheet.cell(n,4).value)
    person[code] = dict1
filename = 'data/镇海.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 [4]:

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/data_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 [27]:

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

filename = 'data/places_result_20240920.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.json'

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

934
934

导出测试人员信息

In [28]:

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.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/镇海体测情况（截至20240920）.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 [30]:

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.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 [29]:

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) 

1354
1298

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