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jupyter/体测单位/巴陵石化.ipynb
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2022-11-02 11:41:38 +08:00

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人员基本信息导入

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import openpyxl
import json

wb = openpyxl.load_workbook('data/巴陵石化监测花名册.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
person = {}
for n in range(2, sheet.max_row+1):
    if sheet.cell(n,2).value is None:
        break
    else:        
        code = int(sheet.cell(n, 4).value)
        person.setdefault(code, {})
        dict1 = {}
        dict1['name'] = sheet.cell(n, 6).value    
        xb = str(sheet.cell(n, 7).value)
        if xb == '1':
            sex = '男'
        elif xb =='2':
            sex = '女'
        dict1['sex'] = sex
        dict1['unit'] = sheet.cell(n, 3).value
        dict1['birth'] = str(sheet.cell(n,8).value).split(' ')[0]
        person[code] = dict1
filename = 'data/巴陵石化人员.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/137_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_巴陵.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','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_巴陵.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

filename = 'data/巴陵石化人员.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl)
    
list1 = []
for k, v in dict1.items():
    list2 = []
    list2.append(str(k).rjust(8,'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/巴陵石化体测情况表(截至20221031).xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)

统计测试成绩

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import json
import openpyxl

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']
title = ['编号','姓名','性别','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_巴陵.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

filename = 'data/巴陵石化人员.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl)
    
list1 = []
dict3 = {}
i = 0
for k, v in dict1.items():
    sex = dict2[k]['sex']
    dict3.setdefault(sex,{})    
    for item in v.keys():
        if item in items:
            dict3[sex].setdefault(item,[]) 
            if v[item]['得分'].isdigit() :
                dict3[sex][item].append(v[item]['得分'])    
#print(dict3)    
for k, v in dict3.items():
    sex = k
    for k1, v1 in v.items():
        df = 0
        if len(v1) >0:
            
            for i in range(0,len(v1)-1):
                df = df + int(v1[i])
        print(sex,k1,df,i)
            
    

报告按照部门分组

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import os,sys,shutil
import json
import math


fi_path = os.getcwd()+'/file/137'
old = []
new = []
dict2 = {}
depart = []

filename = 'data/巴陵石化人员.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

for k, v in dict1.items():
    m_name = v['name']
    m_depart = v['unit']
    depart.append(m_depart)    
    dict2[int(k)] = [m_name,m_depart]
# 创建部门办公室    
m_path = os.getcwd()+'/file/137/new'
for pn in depart:
    if not os.path.exists(m_path + '/' + pn):
        os.mkdir(m_path + '/' + pn)
#print(dict1)


fl=os.listdir(fi_path)
for fn in fl:
    if os.path.isfile(fi_path + '/' + fn):
        ofn = int(fn.split('.')[0])
        old.append(ofn)
    #print(fn)
old.sort()
    #print(str(nfn)+'.pdf')

for n in old:
    
    o_name = f'{fi_path}/{n}.pdf'
    n_name = f'{fi_path}/new/{dict2[n][1]}/{str(n).rjust(5,"0")}-{dict2[n][0]}.pdf'
    if not os.path.exists(n_name):
        shutil.copyfile(o_name,n_name)
        print(n_name)

统计报告人员信息表

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import json
import openpyxl
import os
import glob

filename = 'data/巴陵石化人员.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
m_path = os.getcwd()+'/file/137'
fls = glob.glob(f'file/137/*.pdf')
list1 = []
for fn in fls:
    list2 = []
    code = os.path.basename(fn).split('.')[0]
    list2 = [code.rjust(5,"0"),dict1[code]['name'],dict1[code]['unit']]
    list1.append(list2)
title = ['编号','姓名','部门']    
filename = 'data/巴陵十五部门人员体测情况表(截至20221101).xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)
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