jupyter/体测单位/政法委.ipynb

体测人员导入

In [9]:

import openpyxl
import json


wb = openpyxl.load_workbook('data/政法委名单.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['unit'] = '政法委'
    dict1['sex'] = sheet.cell(n, 3).value
    dict1['birth'] = str(sheet.cell(n,4).value).split(' ')[0]
    if sheet.cell(n,5).value is not None:
        dict1['phone'] = sheet.cell(n,5).value
        
    person[code] = dict1
filename = 'data/政法委.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 [6]:

import json

filename = 'data/政法委.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':'政法委'}
    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_政法委.json", "w",encoding = 'utf-8') as file:
    file.write(json_data)   
print('ok')

ok

获取人员测试成绩

In [10]:

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

filename = 'data/places_result_20231020.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']
        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_政法委.json'

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

25
25

导出测试人员信息

In [12]:

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

filename = 'data/政法委.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/政法委.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)

手工数据导入数据库

In [8]:

import openpyxl
import json

filename = 'data/政法委.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl)
wb = openpyxl.load_workbook('data/政法委手工数据.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
dict1 = {}
dict3 = {1:10,2:11,3:7,4:2,5:6,6:3,7:1}
sheet = wb.active
data1 =list(sheet.values)
del data1[0]
list1 = []
for item in data1:
    code = int(item[0])
    list1.append((496535,code,item[2],item[1],'2023-10-20','2023-10-20 17:00:00'))
print(list1)

[(496535, 2, 5, 3, '2023-10-20', '2023-10-20 17:00:00'), (496535, 8, 5, 20, '2023-10-20', '2023-10-20 17:00:00'), (496535, 42, 5, 29, '2023-10-20', '2023-10-20 17:00:00'), (496535, 22, 5, 30, '2023-10-20', '2023-10-20 17:00:00'), (496535, 21, 5, 43, '2023-10-20', '2023-10-20 17:00:00'), (496535, 12, 5, 20, '2023-10-20', '2023-10-20 17:00:00'), (496535, 4, 5, 38, '2023-10-20', '2023-10-20 17:00:00'), (496535, 30, 5, 10, '2023-10-20', '2023-10-20 17:00:00'), (496535, 2, 3, -118, '2023-10-20', '2023-10-20 17:00:00')]

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