「‘NoneType’對象不是標化」或「KeyError異常：」與openpyxl和ipwhois

Question

我工作的一個python3腳本，執行以下操作：

1. 打開一個Excel文件中的工作目錄
2. 選擇在Excel中第一片材文件
3. 通過所有的IP地址的選擇在第三列（一範圍的IP地址在此情況下）的所有數據
4. 迭代並調用爲每個
5. 商店的whois API每個IP的結果變量（以.json）
6. 通過解析結果找名稱，IP範圍，聯繫方式
7. 上面寫到Excel新行從6文件中的值
8. 保存Excel用在一個新的文件的文件名當前目錄

當前文檔具有427個唯一IP地址的列表，並且來自whois api的RIPE名稱的結果是唯一的（有時在相同的響應中）。爲了適應這種情況，我已經遍歷每個RIPE名稱以獲取['contact']列表中的次級數據集。只要聯繫人列表包含我想要的值，此工作正常。如果沒有，我會得到一個NoneType的錯誤。我試圖用if語句來構建預防性邏輯，其中result == None爲我的變量賦予一個'NULL'值，但隨後我在RIPE名稱上得到了一個KeyError異常。我卡住了，需要你的幫助。這裏是我的代碼的副本：

import openpyxl 

from pprint import pprint 
from ipwhois import IPWhois 

wb = openpyxl.load_workbook('Abuse Log with Notes FWC 2016-06-09.xlsx')#change name here to file to be used 
sheet = wb.get_sheet_by_name('Sheet1') #get first sheet in workbook 

#Add new column headings for API results 
sheet['E1'] = 'HOST NAME' 
sheet['F1'] = 'HOST COUNTRY' 
sheet['G1'] = 'IP START' 
sheet['H1'] = 'IP END' 
sheet['I1'] = 'HOST EMAIL' 
sheet['J1'] = 'HOST PHONE' 
sheet['K1'] = 'HOST ADDRESS' 

#Store all start range IP's for Amazon in one list variable 
AmazonStartIPs = [ 
    '54.64.0.0', '54.160.0.0','54.144.0.0', 
    '52.64.0.0','54.208.0.0','54.192.0.0', 
    '54.240.0.0','54.224.0.0','54.72.0.0', 
    '54.176.0.0','52.32.0.0','52.0.0.0', 
    '52.192.0.0','52.84.0.0','53.32.0.0'] 

def checkForAmazon(): 
    if StartAddress in AmazonStartIPs: 
     Name = 'Amazon Web Services - Elastic Compute Cloud' 
     CountryCode = 'US' 
     AbuseEmail = 'abuse@amazonaws.com' 
     AbusePhone = '+1-206-266-4064' 
     AbuseAddress = ['410 Terry Avenue','North Seattle', 'WA', '98109-5210','UNITED STATES'] 

iterateColumn = sheet.columns[2]#get all cell values in column C 
currentRowIndex = 2 

for Address in iterateColumn[1:5]:#test range 1:5 to reduce API load 
    ip_address = Address.value#set var to value of item in iterateColumn 
     IP = IPWhois(ip_address)#store whois call in var of IP 
     results = IP.lookup_rdap(depth=1)#call whois and store .json results 

     Name = results['network']['name']#set name to IP Host name 
     Name=''.join(Name)#formatting for excel 

     CountryCode = results['asn_country_code']#var for country code 
     CountryCode=''.join(CountryCode) 

     StartAddress = results['network']['start_address']#var for IP range Start 
     StartAddress=''.join(StartAddress) 

     EndAddress = results['network']['end_address']#var for IP range End 
     EndAddress = ''.join(EndAddress) 

     #write values above to iterable rows in spreadsheet 
     sheet.cell(row = currentRowIndex, column = 5).value = Name 
     sheet.cell(row = currentRowIndex, column = 6).value = CountryCode 
     sheet.cell(row = currentRowIndex, column = 7).value = StartAddress 
     sheet.cell(row = currentRowIndex, column = 8).value = EndAddress 

     for key in results['objects']:#get unique key values in results object 
     r = key#store as var of r to prevent having to call by ripe name 

     AbuseEmail = results['objects'][r]['contact']['email'][0]['value'] 
     if results['objects'][r]['contact']['email'] == None: 
     AbuseEmail = 'NULL' 
     elif results['objects'] is None: 
     AbuseEmail = 'NULL' 

     sheet.cell(row = currentRowIndex, column = 9).value = AbuseEmail 
     AbuseEmail = ''.join(AbuseEmail) 

     if results['objects'][r]['contact']['phone'] == None: 
     AbusePhone = 'NULL' 
     else: 
     AbusePhone = results['objects'][r]['contact']['phone'][0]['value'] 

     sheet.cell(row=currentRowIndex, column = 10).value = AbusePhone 
     AbusePhone = ''.join(AbusePhone) 

     if results['objects'][r]['contact']['address'] == None: 
     AbuseAddress = 'NULL' 
     else: 
     AbuseAddress = results['objects'][r]['contact']['address'][0]['value'] 

     sheet.cell(row=currentRowIndex, column = 11).value = AbuseAddress 
     AbuseAddress =''.join(AbuseAddress) 

     checkForAmazon() 

     currentRowIndex += 1 


rowsUpdated = sheet.max_row 
print('{} records have been updated.'.format(rowsUpdated)) 

wb.save('ABUSE_IP_LOG_HOST_DATA.xlsx') 

Answer 1

至於建議的MattDMo，我增加了以下異常處理和解決了這個問題：

try: 
    AbuseEmail = results['objects'][r]['contact']['email'][0]['value'] 
    AbusePhone = results['objects'][r]['contact']['phone'][0]['value'] 
    AbuseAddress = results['objects'][r]['contact']['address'][0]['value'] 
except (KeyError, TypeError): 
    AbuseEmail = 'NULL' 
    AbusePhone = 'NULL' 
    AbuseAddress = 'NULL'