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512song ac73cd8540 20251009

2025-11-09 14:52:20 +08:00

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体质测试2024年

体测人员导入

In [ ]:

import openpyxl
import json
from datetime import date

wb = openpyxl.load_workbook('data/镇海参加测试人员名单（合并）.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, 5).value
    if sheet.cell(n, 6).value is not None:
        dict1['gh'] = sheet.cell(n, 6).value
    dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0] 
    if sheet.cell(n, 7).value is not None:
        dict1['phone'] = str(sheet.cell(n,7).value)
    person[code] = dict1
filename = 'data/镇海（合并）.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print('ok')

生成读卡系统文件

In [ ]:

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/card_镇海.json", "w",encoding = 'utf-8') as file:
    file.write(json_data)   
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 = []
filename = 'data/镇海（合并）.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 

filename = 'data/places_result_20240922.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（合并）.json'

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

导出测试人员信息

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

filename = 'data/镇海体测人员.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl)
    
list1 = []
for k, v in dict1.items():
    list2 = []
    list2.append(str(k).rjust(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('')
    list2.append(dict2[k]['gwxl'])
    list2.append(dict2[k]['gzz'])
    list1.append(list2)
filename = 'data/镇海体测情况表.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)

统计未体测人员明细表

In [ ]:

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（截至20240922）.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 [ ]:

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)

转换报告格式

In [ ]:

import json
import datetime
import csv
from datetime import date

filename = '../item.json'
item = {}
unit = {}
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for k,v in dict1.items():
    item[k] = v
item['1']['en'] = 'lung'
item['2']['en'] = 'grip'
item['3']['en'] = 'flexion'
item['4']['en'] = 'jump'
item['5']['en'] = 'pushup'
item['6']['en'] = 'balance'
item['7']['en'] = 'reaction'
item['8']['en'] = 'step'
item['9']['en'] = 'situp'
item['10']['en'] = 'height'
item['11']['en'] = 'weight'


re_ta = {}
dict1 = {}
list1 = []
filename = 'data/镇海（合并）.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 

filename = 'data/places_result_20240922.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)
#f_item = ['lung','grip','flexion','jump','balance','reaction','step','situp']
#m_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step']
for result in list1:
    user = str(result[2])
    rq = date.fromisoformat(result[6].replace('/','-'))
    if user in dict1.keys():
        l_xm = []
        m_item = str(result[3])    
        re_ta.setdefault(user,{})    
        re_ta[user]['name'] = dict1[user]['name']
        re_ta[user]['sex'] = dict1[user]['sex']
        if dict1[user]['sex'] == '男':
            l_xm = ['weight','height','lung','grip','flexion','jump','pushup','balance','reaction','step']
        else:
            l_xm = ['weight','height','lung','grip','flexion','jump','balance','reaction','step','situp']
        re_ta[user]['unit'] = dict1[user]['unit']
        #birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))
        birth = date.fromisoformat(dict1[user]['birth'])
        #nian = int(birth[0].strip())
        #yue = int(birth[1].strip())
        #ri = int(birth[2].strip())
        #print(k,nian,yue,ri)
        item_name = item[m_item]['en']        
        if item_name in l_xm:            
            days = (rq-birth).days        
            re_ta[user]['age'] = int(days/365)
            re_ta[user]['month'] = int(days/365*12)
            re_ta[user]['rq'] = result[6]


            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（合并）.json'

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

生成完善得分

In [ ]:

import json
import time

filename = '../item.json'
item = {}
unit = {}
with open(filename,'r') as fl:
    dict3 = json.load(fl) 
for k,v in dict3.items():
    item[k] = v
item['1']['en'] = 'lung'
item['2']['en'] = 'grip'
item['3']['en'] = 'flexion'
item['4']['en'] = 'jump'
item['5']['en'] = 'pushup'
item['6']['en'] = 'balance'
item['7']['en'] = 'reaction'
item['8']['en'] = 'step'
item['9']['en'] = 'situp'
item['10']['en'] = 'height'
item['11']['en'] = 'weight'

filename = 'data/体质检测标准 (1).json'    
with open(filename,'r') as fl:
    dict1 = json.load(fl)



def cal_score(data1):
    #data = {'name':'张三','sex':'M','age':37,'item':'StepExperiment','result':46}     
    person = dict1['person']
    criteria = dict1['criteria']
    if data1['age'] >59:
        data1['age'] = 59
    if data1['age'] <20:
        data1['age'] = 20
    info = data1['sex']+str(data1['age'])
    bz = person[info]
    mx = criteria[bz][data1['item']]
    result = data1['result']    
    if data1['item'] == 'reaction':
        for bz1 in mx:
            if result > bz1:
                #print(bz1)
                score = mx.index(bz1,0)
                break
            else:
                score = 5
    else:
        for bz1 in mx:
            if result < bz1:
                #print(bz1)
                score = mx.index(bz1,0)
                break
            else:
                score = 5
    return(score)
filename = 'data/体质检测标准_BMI.json'
with open(filename,'r') as fl:
    dict4 = json.load(fl) 
    
def cal_bmi(data1):
   # data = {'name':'张三','sex':'M','age':37,'item':'HeightWeight','result':'177.7,97.0'}
    person = dict4['person']
    criteria = dict4['criteria']
    if data1['age'] > 59:
        data1['age'] = 59
    if data1['age'] <20:
        data1['age'] = 20
    info = data1['sex']+str(data1['age'])
    bz = person[info]
    #print(bz)
    result = data1['result']
    #print(data1['code'],result)
    height = int(float(result.split(',')[0]))
    weight = float(result.split(',')[1])
    if str(height) not in criteria[bz]:
        score = 1
    else:   
        mx = criteria[bz][str(height)]
        if weight < mx[0]:
            score = 1
        elif weight < mx[1]:
            score = 3
        elif weight < mx[2]:
            score = 5    
        elif weight <= mx[3]:
            score = 3  
        elif weight > mx[3]:
            score = 1
    return score
    
    

#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_镇海（合并）.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 'height' in v.keys() and 'weight' in v.keys():
        bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]
        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'] = 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])}
            dict2[k][item_en]['score'] = cal_score(data1)
            #print(k,v[item_en]['成绩'],cal_score(data1))

filename = f'data/result_镇海（合并）.json'
with open(filename,'w') as fl:
    json.dump(dict2,fl , ensure_ascii=False) 
print('ok!')

生成体测成绩明细表

In [ ]:

import json
import openpyxl

items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']
bmi = ['height','weight']
title = ['编号','姓名','性别','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_镇海（合并）.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]['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/镇海体测情况明细表.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)
print('ok')

生成报告

In [ ]:

import requests
import json
import openpyxl


headers = {
    "Content-Type": "application/json; charset=UTF-8"
    }
filename = 'data/result_镇海（合并）.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
list1 = []
file_path ='./镇海石化/'
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'] = '中国石化镇海炼化公司'
    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','psy','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)

统计报告人员信息

In [ ]:

import json
import glob
from pathlib import Path
import openpyxl

filename = 'data/镇海.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
fi_path = '/home/songyi/python/mycrm/flask/pdf/files/345321'
fls = glob.glob(f'{fi_path}/*.pdf')
dict2 = {}
for fn in fls:
    
    fi_name =Path(fn).stem.split('-')[0]
    #fi_name =Path(fn).stem
    code = int(fi_name)
    dict2[str(code)] = dict1[str(code)]
filename = 'data/镇海体测人员.json'
with open(filename,'w') as fl:
    json.dump(dict2,fl , ensure_ascii=False) 
print(len(dict2)) 
list1 = []
for k, v in dict2.items():  
    list2 = []
    if 'gh' in v.keys():
        gh = v['gh']
    else:
        gh = ''
    if 'phone' in v.keys():
        phone = v['phone']
    else:
        phone = ''
    list2 = [k,v['name'],v['sex'],v['birth'],v['unit'],gh,phone]
    list1.append(list2)
#print(list1)
filename = 'data/镇海参加测试人员名单.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)

补充报告人员信息

In [ ]:

import json
import glob
from pathlib import Path
import openpyxl


filename = 'data/镇海体测人员.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
wb = openpyxl.load_workbook('data/镇海炼化参加测试人员名单（分析用）.xlsx')
sheet = wb.active
for n in range(2, sheet.max_row+1):
    if sheet.cell(n, 12).value is not None:
        code = int(sheet.cell(n, 1).value)
        if sheet.cell(n, 12).value is not None:
            dict1[str(code)]['gwlb'] = sheet.cell(n, 12).value
        dict1[str(code)]['gwxl'] = sheet.cell(n, 9).value
        dict1[str(code)]['gzz'] = sheet.cell(n, 11).value

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

核验报告人员信息

In [ ]:

import openpyxl
import json
from datetime import date

wb = openpyxl.load_workbook('data/镇海炼化参加测试人员名单.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['sex'] = sheet.cell(n, 3).value
    dict1['unit'] = sheet.cell(n, 5).value
    if sheet.cell(n, 6).value is not None:
        dict1['gh'] = sheet.cell(n, 6).value
    dict1['birth'] = str(sheet.cell(n, 4).value).replace('/','-').split(' ')[0] 
    if sheet.cell(n, 7).value is not None:
        dict1['phone'] = str(sheet.cell(n,7).value)
    if len(str(sheet.cell(n,7).value))<11:
        print(code,sheet.cell(n, 2).value)
    person[code] = dict1
filename = 'data/镇海炼化参加测试人员.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print(len(person))

生成查询信息

In [ ]:

import openpyxl
import os,sys,shutil
import json
import math
import glob
import random
from pathlib import Path
import pymongo

myclient = pymongo.MongoClient('mongodb://localhost:27017/')
mydb = myclient["baogao"]
mycol = mydb["pdf"]

place_id = 345321

fi_path = '/home/songyi/python/mycrm/flask/pdf/files'
fls = glob.glob(f'{fi_path}/{str(place_id)}/*.pdf')

filename = 'data/镇海炼化参加测试人员.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
for fn in fls:
    dict2 = {}
    fi_name =Path(fn).stem.split('-')[0]
    #fi_name =Path(fn).stem
    code = int(fi_name)
    dxm = dict1[str(code)]['gh']
    dict2 = {'place_id':place_id,'code':dxm,'fn':Path(fn).name}
    list2.append(dict2)
    i +=1
x = mycol.insert_many(list2)
print('ok')

根据工号生成查询信息

In [ ]:

import json
filename = 'data/镇海炼化参加测试人员.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
list1 = []
list2 = []
set1 = set()
for k, v in dict1.items():
    if 'gh' in v.keys():
        gh = v['gh']
        if gh not in list1:
            list1.append(v['gh'])
        else:
            list2.append(gh)
print(list2)

体测报告按部门分类

In [ ]:

import os,sys,shutil
import json
import glob
from pathlib import Path

fi_path = '/home/songyi/pdf-typescript/镇海石化'
new_path = 'file/镇海石化'
old = []
dict2 = {}

filename = 'data/镇海炼化参加测试人员.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
fls = glob.glob(f'{fi_path}/*.pdf')
for fn in fls:
    fi_name =Path(fn).stem.split('-')[0]
    code = int(fi_name)
    unit_path = Path(new_path,dict1[str(code)]['unit'])
    unit_path.mkdir(parents = True, exist_ok = True)
    n_name = Path(unit_path,Path(fn).stem+'.pdf')
    if not os.path.exists(n_name):
        shutil.copyfile(fn,n_name)

生成体测报告打印明细表

In [ ]:

import os,sys,shutil
import json
import glob
from pathlib import Path
import openpyxl

fi_path = '/home/songyi/pdf-typescript/镇海石化'

filename = 'data/镇海炼化参加测试人员.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)
fls = glob.glob(f'{fi_path}/*.pdf')
list1 = []
title = ['测试编号','姓名','性别','部门']
for fn in fls:
    list2 = []
    fi_name =Path(fn).stem.split('-')[0]    
    code = int(fi_name)
    sex = dict1[str(code)]['sex']
    unit = dict1[str(code)]['unit']
    list2 = [fi_name,Path(fn).stem.split('-')[1],sex,unit]
    
    list1.append(list2)

filename = 'data/镇海石化体测报告明细表.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename) 
print('ok')

体质测试综合报告数据分析

清理报告数据

In [ ]:

import json
import openpyxl


filename = 'data/result_镇海（合并）.json'
with open(filename,'r',encoding = 'utf-8') as fl:
    dict1 = json.load(fl)

    
#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']
items = {}
items['lung'] = '肺活量'
items['grip'] ='握力'
items['flexion'] ='坐位体前屈'
items['jump'] ='纵跳'
items['pushup'] ='俯卧撑'
items['balance'] ='单脚站立'
items['reaction'] ='选择反应时'
items['step'] ='台阶指数'
items['situp'] ='一分钟仰卧起坐'
items['bmi'] ='BMI'


list1 = []
#fiie_path ='./138/'
list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']
i=1
list2 = []
dict2 = {}
for  k, v in dict1.items():
    list1 = []
    mydata = {}
    
    id = str(k).rjust(8,"0")
    mydata['unit'] = v['unit']
    mydata['name'] = v['name']
    mydata['sex'] = v['sex']
    mydata['month'] = v['month']
    age = int(v['month']/12)
    if age <20:
        mydata['age'] = 20
    else:
        mydata['age'] = int(v['month']/12)
    
    mydata['fits'] = {}
    score = 0
    for item in list_item:
        if item in v.keys():
            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'][items[item]] = {'mark':mark,'score':v[item]['score']}
            score = score + v[item]['score']
    mydata['score'] = round(score/len(mydata['fits']),2)
    if len(mydata['fits']) >2:
        dict2[str(k)] = mydata
filename = f'data/data_镇海（合并）.json'
with open(filename,'w') as fl:
    json.dump(dict2,fl , ensure_ascii=False) 
print('ok!')

报告按照工作制分类

In [ ]:

import json
import openpyxl


filename = 'data/result_镇海2.json'
with open(filename,'r',encoding = 'utf-8') as fl:
    dict1 = json.load(fl)
filename = 'data/镇海体测人员.json'
with open(filename,'r',encoding = 'utf-8') as fl:
    dict3 = json.load(fl)


#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']
items = {}
items['lung'] = '肺活量'
items['grip'] ='握力'
items['flexion'] ='坐位体前屈'
items['jump'] ='纵跳'
items['pushup'] ='俯卧撑'
items['balance'] ='单脚站立'
items['reaction'] ='选择反应时'
items['step'] ='台阶指数'
items['situp'] ='一分钟仰卧起坐'
items['bmi'] ='BMI'


list1 = []
#fiie_path ='./138/'
list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','bmi']
i=1
list2 = []
dict2 = {}
for  k, v in dict1.items():
    if dict3[k]['gzz'] == '倒班':
        list1 = []
        mydata = {}
        
        id = str(k).rjust(8,"0")
        mydata['unit'] = v['unit']
        mydata['name'] = v['name']
        mydata['sex'] = v['sex']
        mydata['month'] = v['month']
        age = int(v['month']/12)
        if age <20:
            mydata['age'] = 20
        else:
            mydata['age'] = int(v['month']/12)
        
        mydata['fits'] = {}
        score = 0
        for item in list_item:
            if item in v.keys():
                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'][items[item]] = {'mark':mark,'score':v[item]['score']}
                score = score + v[item]['score']
        mydata['score'] = round(score/len(mydata['fits']),2)
        if len(mydata['fits']) >2:
            dict2[str(k)] = mydata
filename = f'data/data_镇海_倒班.json'
with open(filename,'w') as fl:
    json.dump(dict2,fl , ensure_ascii=False) 
print(len(dict2))

计算平均成绩

In [ ]:

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]
filename = 'data/data_镇海（合并）.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
i = 1
m = 0
f = 0
score = 0
t_score = 0
for k,v in dict1.items():
    if v['sex'] == '男':
        m = m +1
        score = score+v['score']
print(f'平均成绩：{round(score/m,4)}分，男性：{m}人')
t_score = t_score + score
score = 0
for k,v in dict1.items():
    if v['sex'] == '女':
        f = f +1
        score = score+v['score']
print(f'平均成绩：{round(score/f,4)}分，女性：{f}人')
t_score = t_score + score
print(f'平均成绩：{round(t_score/(f+m),4)}分，总体：{(f+m)}人')

计算测试等级

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/data_长炼医院.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]

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'] == '男':
                m = m +1
            else:
                f = f+1
    print(f'{di}~{gao}分人数：{i}人,男性：{m}人,女性:{f}人')
print(len(dict1))
with open(filename,'w') as fl:
    json.dump(dict1, fl) 
print('ok')

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],[55,80]]

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'] == '女':
                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(男）

In [ ]:

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]

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'] == '男':
                dict3[age][v['level']] = dict3[age][v['level']]+1
            
for k, v in dict3.items():
    print(k,v)

根据年龄汇总人员信息及成绩

In [ ]:

nld = [[16,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,69]]

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for item in nld:
    di = item[0]
    gao = item[1]
    i = 0
    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'] == '男':
                m = m +1
    if i ==0:
        print(f'{di}~{gao}岁平均成绩：0分，人数：0人,男性：{m}人')
    else:
        print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人,男性：{m}人')

根据年龄汇总人员信息及成绩（男）

In [ ]:

import json

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for item in nld:
    di = item[0]
    gao = item[1]
    i = 0
    score = 0
    m = 0
    f = 0
    for k,v in dict1.items():
        if v['age'] in range(di,gao+1) and v['sex'] == '男':
            score = score+v['score']
            i+=1
    if i ==0:
        print(f'{di}~{gao}岁平均成绩：0分，人数：{i}人') 
    else:
        print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')

根据年龄汇总人员信息及成绩（女）

In [ ]:

nld = [[20,24],[25,29],[30,34],[35,39],[40,44],[45,49],[50,54],[55,80]]

with open(filename,'r') as fl:
    dict1 = json.load(fl) 
for item in nld:
    di = item[0]
    gao = item[1]
    i = 0
    score = 0
    m = 0
    f = 0
    for k,v in dict1.items():
        if v['age'] in range(di,gao+1) and v['sex'] == '女':
            score = score+v['score']
            i+=1
    if i ==0:
        print(f'{di}~{gao}岁平均成绩：0分，人数：{i}人') 
    else:
        print(f'{di}~{gao}岁平均成绩：{round(score/i,2)}分，人数：{i}人')

计算各项目成绩

In [ ]:

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

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
    if n>0:
        print(item,round(score/n,2),n)
    else:
        print(item,0,n)

按照部门计算平均成绩（男性）

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'] and v['sex'] == '男':
            score = score + v['score']
            n = n +1 
    if n>0:
        print(item,round(score/n,2),n)
    else:
        print(item,0,n)

计算部门成绩

In [ ]:

import json

items = ['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/data_镇海（合并）.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

filename = 'data/镇海（合并）.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl)
dict3 = {}

for k, v in dict1.items():
    unit = v['unit']
    dict3.setdefault(unit,{})
    for item in items:
        dict3[unit].setdefault(item,{})
        dict3[unit][item].setdefault('score',0)
        dict3[unit][item].setdefault('count',0)
    for k1,v1 in v['fits'].items():
        if k1 in items:
            dict3[unit][k1]['score']+=v1['score']
            dict3[unit][k1]['count']+=1

for k, v in dict3.items():
    print(k)
    for k1, v1 in v.items():
        print(k1,v1['score'],v1['count'])

计算部门等级

In [ ]:

import json

items = ['优秀','良好','合格','不合格'] 
filename = 'data/data_镇海（合并）.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)


dict3 = {}
for k, v in dict1.items():
    unit = v['unit']
    dict3.setdefault(unit,{})
    for item in items:
        dict3[unit].setdefault(item,0)

for k, v in dict1.items():
    unit = v['unit']
    #dict3.setdefault(unit,{})
    #for item in items:
    #dict3[unit].setdefault(v['level'],0)
    dict3[unit][v['level']] +=1
for k, v in dict3.items():
    print(k,v['优秀'],v['良好'],v['合格'],v['不合格'])

体质测试2025年

体测人员导入

In [ ]:

import openpyxl
import json
from datetime import date

wb = openpyxl.load_workbook('data/镇海人员2025.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
person = {}

for n in range(2, sheet.max_row+1):
    code = sheet.cell(n, 5).value
    person.setdefault(code, {})
    dict1 = {}
    dict1['name'] = sheet.cell(n, 2).value
    dict1['sex'] = sheet.cell(n, 3).value
    dict1['birth'] = str(sheet.cell(n, 6).value).replace('/','-').split(' ')[0] 
    dict1['unit'] = sheet.cell(n, 7).value
    dict1['phone'] = sheet.cell(n, 4).value
    person[code] = dict1
filename = 'data/镇海人员2025.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print(len(person),'ok')

In [ ]:

import openpyxl
import json
from datetime import date

wb = openpyxl.load_workbook('data/镇海人员信息确认表.xlsx')
sheet = wb.active
# sheets = wb.sheetnames
person = {}

for n in range(2, sheet.max_row+1):
    code = sheet.cell(n, 1).value.lower()
    person.setdefault(code, {})
    dict1 = {}
    dict1['name'] = sheet.cell(n, 2).value
    dict1['sex'] = sheet.cell(n, 3).value
    dict1['birth'] = str(sheet.cell(n, 5).value).replace('/','-').split(' ')[0] 
    dict1['unit'] = sheet.cell(n, 4).value
    if sheet.cell(n,6).value is not None:
        dict1['phone'] = sheet.cell(n, 6).value
    person[code] = dict1
filename = 'data/镇海人员2025.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print(len(person),'ok')

生成读卡系统文件

In [ ]:

import json

filename = 'data/镇海人员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_镇海2025.json", "w",encoding = 'utf-8') as file:
    file.write(json_data)   
print(len(list1),'ok')

合并读卡系统文件

In [ ]:

import json

filename = 'data/镇海人员2025.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

filename = 'data/data_镇海2025.json'
with open(filename,'r') as fl:
    list1 = json.load(fl)
for item in list1:
    code = item['id'].lower()
    if code not in dict1.keys():
        print(code,item['name'],item['unit'])
        code = code.lower()
        dict1.setdefault(code,{})
        dict1[code]['name'] = item['name']
        dict1[code]['sex'] = item['gender']
        dict1[code]['unit'] = item['unit']
        dict1[code]['birth'] = item['birth']
filename = 'data/镇海人员2025.json'
with open(filename, 'w') as fl:
    json.dump(dict1, fl, ensure_ascii=False)
print(len(dict1),'ok')

In [ ]:

import json

filename = 'data/镇海人员2025.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

filename = 'data/data_镇海2025.json'
with open(filename,'r') as fl:
    list1 = json.load(fl)
for item in list1:
    code = item['id'].lower()
    dict1[code]['name'] = item['name']
    dict1[code]['sex'] = item['gender']
    dict1[code]['unit'] = item['unit']
    dict1[code]['birth'] = item['birth']
filename = 'data/镇海人员2025-1.json'
with open(filename, 'w') as fl:
    json.dump(dict1, fl, ensure_ascii=False)
print(len(dict1),'ok')

核对人员信息

In [55]:

import openpyxl
import json
from datetime import date

wb = openpyxl.load_workbook('data/镇海人员信息确认表.xlsx')
sheet = wb.active
person = {}

for n in range(2, sheet.max_row+1):
    code = sheet.cell(n, 1).value
    person.setdefault(code, {})
    dict1 = {}
    dict1['name'] = sheet.cell(n, 2).value
    dict1['sex'] = sheet.cell(n, 3).value
    dict1['birth'] = str(sheet.cell(n, 5).value).replace('/','-').split(' ')[0] 
    dict1['unit'] = sheet.cell(n, 4).value
    if sheet.cell(n, 6).value is not None:
        dict1['phone'] = sheet.cell(n, 6).value
    person[code] = dict1
filename = 'data/镇海人员2025.json'
with open(filename, 'w') as fl:
    json.dump(person, fl, ensure_ascii=False)
print(len(person),'ok')

1564 ok

导入手工数据

In [ ]:

import openpyxl
import json
from datetime import date

wb = openpyxl.load_workbook('data/镇海项目手工成绩.xlsx')
sheet = wb.active
filename = 'data/result_镇海2025.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl) 

for n in range(2, sheet.max_row+1):
    code = str(sheet.cell(n, 1).value)
    item = str(sheet.cell(n, 2).value)
    mark = str(sheet.cell(n, 3).value)
    dict2[code].setdefault(item,{})
    dict2[code][item]['成绩'] = mark
    
filename = 'data/result_镇海2025-1.json'
with open(filename,'w') as fl:
    json.dump(dict2, fl, ensure_ascii=False) 
print(len(re_ta))

获取人员测试成绩

In [ ]:

import json
import datetime
import csv
from datetime import date
import my_module1 as My

filename = 'data/镇海人员2025.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl) 
filename = 'data/marks_20251031.csv'
re_ta = My.get_result(filename,dict1)


filename = 'data/result_镇海2025.json'
with open(filename,'w') as fl:
    json.dump(re_ta, fl, ensure_ascii=False) 
print(len(re_ta))

修正测试成绩

In [60]:

import openpyxl
import json
from datetime import date


filename = 'data/result_镇海2025.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl) 
filename = 'data/镇海人员2025.json'
with open(filename,'r') as fl:
    dict3 = json.load(fl) 
dict1 = {}
for k, v in dict2.items():
    code = k.upper()
    dict1[code] = v
    dict1[code]['unit'] = dict3[code]['unit']
filename = 'data/result_镇海2025-1.json'
with open(filename,'w') as fl:
    json.dump(dict1, fl, ensure_ascii=False) 
print(len(re_ta))

生成测试得分

In [ ]:

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_镇海2025-1.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_镇海2025.json'
with open(filename,'w') as fl:
    json.dump(dict2,fl , ensure_ascii=False) 
print('ok!')

导出测试人员信息

In [ ]:

import json
import openpyxl

items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']
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2025.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

filename = 'data/镇海人员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'])
    list2.append(dict2[k]['birth'])
    if 'phone' in v.keys():
        list2.append(dict2[k]['phone'])
    else:
        list2.append('')
    
    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/镇海体测情况表(2025年）.xlsx'
wb = openpyxl.Workbook()
sheet = wb.active
sheet.append(title)
for row in list1:
    sheet.append(row)
    
wb.save(filename)

统计各部门测试情况

In [ ]:

import json

filename = 'data/result_镇海2025.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

filename = 'data/镇海人员2025.json'
with open(filename,'r') as fl:
    dict2 = json.load(fl)

dict3 = {}
for k, v in dict2.items():
    unit = v['unit']
    #sub_unit = v['sub_unit']
    dict3.setdefault(unit,{})
    dict3[unit].setdefault('人数',0)
    dict3[unit].setdefault('体测人数',0)
    #dict3[unit].setdefault(sub_unit,0)
    #dict3[unit][sub_unit] = dict3[unit][sub_unit] + 1
    dict3[unit]['人数'] = dict3[unit]['人数'] + 1

title =['单位','体测人数']
list1 = []
for k,v in dict1.items():    
    unit = v['unit']
    #sub_unit = v['sub_unit']
    #dict3[unit][sub_unit] = dict3[unit][sub_unit] - 1
    dict3[unit].setdefault('体测人数',0)
    dict3[unit]['体测人数'] = dict3[unit]['体测人数'] + 1
for k, v in dict3.items():
    list2 = [k,v['人数'],v['体测人数']]
    list1.append(list2)

filename = 'data/镇海部门测试情况（截至20251031）.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 [ ]:

import json
import openpyxl

filename = 'data/result_镇海2025.json'
with open(filename,'r') as fl:
    dict1 = json.load(fl)

filename = 'data/镇海人员2025.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（截至20251031）.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)

体测报告导入数据库

In [ ]:

import openpyxl
import os,sys,shutil
import json
import math
import glob
import random
from pathlib import Path
import pymongo

myclient = pymongo.MongoClient('mongodb://localhost:27017/')
mydb = myclient["baogao"]

place_id = 1
place_code = "20"

fi_path = '/home/songyi/python/mycrm/flask/pdf/files'
fls = glob.glob(f'{fi_path}/{str(place_id)}/*.pdf')


for fn in fls:
    dict2 = {}
    fi_name =Path(fn).stem.split('-')[0]
    #fi_name =Path(fn).stem
    code = int(fi_name)
    dxm = list1[i]
    dict2 = {'place_id':place_id,'code':dxm,'fn':Path(fn).name}
    list2.append(dict2)
    i +=1
x = mycol.insert_many(list2)
print(len(list2),'ok')

In [64]:


import os,sys,shutil
import json
import math
import glob
import random
from pathlib import Path
import pymongo

myclient = pymongo.MongoClient('mongodb://localhost:27017/')
mydb = myclient["baogao"]

place_id = 1
place_code = "20"

#fi_path = '/root/data/flask/pdf/files'
#fi_path = '/home/songyi/python/mycrm/flask/pdf/files'
fls = glob.glob(f'{fi_path}/{str(place_id)}/*.pdf')

list2 = []
for fn in fls:
    dict2 = {}
    fi_name =Path(fn).stem.split('-')[0]
    #fi_name =Path(fn).stem
    code = fi_name
    dict2 = {'place_id':place_id,'code':code,'fn':Path(fn).name}
    list2.append(dict2)
    i +=1
x = mycol.insert_many(list2)
print(len(list2),'ok')

[{'place_id': 1, 'code': '016368', 'fn': '016368-陈兴旺.pdf'}, {'place_id': 1, 'code': '013403', 'fn': '013403-孙震.pdf'}, {'place_id': 1, 'code': '008553', 'fn': '008553-张国栋.pdf'}, {'place_id': 1, 'code': '015775', 'fn': '015775-张永战.pdf'}, {'place_id': 1, 'code': '015867', 'fn': '015867-高再玲.pdf'}, {'place_id': 1, 'code': '015770', 'fn': '015770-许丹萍.pdf'}, {'place_id': 1, 'code': '021574', 'fn': '021574-杨子敬.pdf'}, {'place_id': 1, 'code': '013141', 'fn': '013141-何文丰.pdf'}, {'place_id': 1, 'code': '015635', 'fn': '015635-王宇光.pdf'}, {'place_id': 1, 'code': '016224', 'fn': '016224-方丽华.pdf'}, {'place_id': 1, 'code': '014081', 'fn': '014081-谢希杭.pdf'}, {'place_id': 1, 'code': '019323', 'fn': '019323-赖佳奇.pdf'}, {'place_id': 1, 'code': '020747', 'fn': '020747-贺海鹏.pdf'}, {'place_id': 1, 'code': '014609', 'fn': '014609-靳贤锐.pdf'}, {'place_id': 1, 'code': '016309', 'fn': '016309-张鹏宇.pdf'}, {'place_id': 1, 'code': '015206', 'fn': '015206-王贺永.pdf'}, {'place_id': 1, 'code': '015184', 'fn': '015184-彭志涛.pdf'}, {'place_id': 1, 'code': '018706', 'fn': '018706-陈佳欣.pdf'}, {'place_id': 1, 'code': '021568', 'fn': '021568-张峻哲.pdf'}, {'place_id': 1, 'code': '016402', 'fn': '016402-石晓雨.pdf'}, {'place_id': 1, 'code': '016023', 'fn': '016023-何正楠.pdf'}, {'place_id': 1, 'code': '008319', 'fn': '008319-陈文近.pdf'}, {'place_id': 1, 'code': '014701', 'fn': '014701-陈顺.pdf'}, {'place_id': 1, 'code': '013564', 'fn': '013564-徐凯华.pdf'}, {'place_id': 1, 'code': '015014', 'fn': '015014-赵刚.pdf'}, {'place_id': 1, 'code': '010481', 'fn': '010481-徐旭东.pdf'}, {'place_id': 1, 'code': '016354', 'fn': '016354-张婕.pdf'}]

In [ ]:

74 KiB Raw Blame History

体质测试2024年

体测人员导入

生成读卡系统文件

获取人员测试成绩

导出测试人员信息

统计未体测人员明细表

清理重复人员

转换报告格式

生成完善得分

生成体测成绩明细表

生成报告

统计报告人员信息

补充报告人员信息

核验报告人员信息

生成查询信息

根据工号生成查询信息

体测报告按部门分类

生成体测报告打印明细表

体质测试综合报告数据分析

清理报告数据

报告按照工作制分类

计算平均成绩

计算测试等级

计算各年龄段测试等级(女）

计算各年龄段测试等级(男）

根据年龄汇总人员信息及成绩

根据年龄汇总人员信息及成绩（男）

根据年龄汇总人员信息及成绩（女）

计算各项目成绩

按照部门计算平均成绩

按照部门计算平均成绩（男性）

计算部门成绩

计算部门等级

体质测试2025年

体测人员导入

生成读卡系统文件

合并读卡系统文件

核对人员信息

导入手工数据

获取人员测试成绩

修正测试成绩

生成测试得分

导出测试人员信息

统计各部门测试情况

统计未体测人员明细表

体测报告导入数据库

74 KiB

Raw Blame History