jupyter/体测单位/天津石化.ipynb

体测人员导入

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import openpyxl
import json


wb = openpyxl.load_workbook('data/天津石化员工检测花名册 （20221014）.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
person = {}

for n in range(2, sheet.max_row+1):
    code = int(sheet.cell(n, 6).value)
    person.setdefault(code, {})
    dict1 = {}
    dict1['name'] = sheet.cell(n, 3).value
    dict1['sex'] = sheet.cell(n, 4).value
    dict1['unit'] = sheet.cell(n, 1).value
    dict1['sub_unit'] = sheet.cell(n, 2).value
    dict1['id_num'] = sheet.cell(n,5).value
    person[code] = dict1
filename = 'data/天津石化人员名单.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print('ok')

获取人员测试成绩

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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 FROM places_result AS a,_zgshhgxs AS b WHERE a.place_id=135 AND a.avatar_id=b.id AND a.avatar_id < 4999

re_ta = {}
dict1 = {}
list1 = []
#print("\n运动项目信息：")
filename = 'data/134_2210.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_天津.json'
with open(filename,'w') as fl:
    json.dump(re_ta, fl) 
print('ok')

导出测试成绩

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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','车间/科室','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_天津.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

filename = 'data/天津石化人员名单.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl)
    
list1 = []
for k, v in dict1.items():
    list2 = []
    list2.append(str(k).rjust(8,'0'))
    list2.append(v['name'])    
    list2.append(dict2[k]['sex'])
    list2.append(dict2[k]['unit'])
    list2.append(dict2[k]['sub_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/天津石化体测情况表（截至20221026）.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)

按照日期进行报告分类

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import json
import time
import csv
import os,sys,shutil
import glob

dict1 = {}
list1 = []
filename = 'data/134_2210.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)
for result in list1:
    user = str(result[4])
    dict1.setdefault(user,'2022-10-01')
    m_date = result[7]
    if m_date> dict1[user]:
        dict1[user] = m_date
rq = set()  
for k, v in dict1.items():
    rq.add(str(v).split(' ')[0].replace('-', '', 2))
# 创建目录
m_path = 'file/134'
for pn in rq:
    if not os.path.exists(m_path + '/' + pn):
        os.mkdir(m_path + '/' + pn)
fls = glob.glob(f'file/*.pdf')
for fn in fls:
    #old = os.path.basename(fn).split('.')[0].rjust(8,'0') 
    old = os.path.basename(fn).split('.')[0]
    mrq = str(dict1[old]).split(' ')[0].replace('-', '', 2)
    n_name = f'{m_path}/{mrq}/{str(old).rjust(8,"0")}_{mrq}.pdf'
    if not os.path.exists(n_name):
        shutil.copyfile(fn,n_name)
print('ok!')

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