text: import csv
  import requests
  df = open("bridgeData3.csv",'r').readlines()
  fin = open('final.csv','r').readlines()
  finCsv = fin[1:]
  # url = https://b2ptc.herokuapp.com/bridges
  finalCsv = df[1:]
  obj = {}
  for i in finalCsv:
      x = i.split(',')
      obj[x[1]] = {'bridge_name':x[0],'proj_code':x[1],'before_img':x[2],'after_img':x[3]}
  
  for i in finCsv:
      x = i.split(',')
      if x[6] in obj:
          y= obj[x[6]]
          y['province'] = x[0]
          y['district'] = x[1]
          y['sector'] = x[2]
          y['cell'] = x[3]
          y['bridge_site'] = x[4]
          y['stage'] = x[5]
          y['id'] = int(x[6])
          y['type'] = x[7]
          y['latt'] = float(x[8])
          y['long'] = float(x[9])
          try:
              serv = float(x[10])
          except:
              serv = x[10]
          sv = x[13].split(' ')[2]
          y['served'] = [serv,x[14] ]
          y['prov']
          
          
          
          print(y)
      
  # for i in finalCsv:
  #     x = i.split(',')
  #     requests.put(url+x[0],data={before:x[2],after:x[3]})
  # pull each id,before image and after from df
  # for each data item do a put request with the id as the param id 
  # and then put the before and after image in an dict and place it as the data for the put request
  