我正在尝试创建AI-like chatbot,其中一项功能是登录。我之前使用过登录代码并且工作正常,但我现在遇到了处理密码散列的代码的困难。这是代码:
def reset_filter
xvaziris = Xvaziri.all // or do the search here, depending on what you need
xvaziris.each do |xvaziri|
xvaziri.hidden = false
end
redirect_to xvaziris_url
end
以下是我得到的结果:
import hashlib
...
register = input ("Are you a new user? (y/n) >")
password_file = 'passwords.txt'
if register.lower() == "y":
newusername = input ("What do you want your username to be? >")
newpassword = input ("What do you want your password to be? >")
newpassword = hashlib.sha224(newpassword).hexdigest()
file = open(password_file, "a")
file.write("%s,%s\n" % (newusername, newpassword))
file.close()
elif register.lower() == ("n"):
username = input ("What is your username? >")
password = input ("What is your password? >")
password = hashlib.sha224(password).hexdigest()
print ("Loading...")
with open(password_file) as f:
for line in f:
real_username, real_password = line.strip('\n').split(',')
if username == real_username and password == real_password:
success = True
print ("Login successful!")
#Put stuff here! KKC
if not success:
print("Incorrect login details.")
我已经查找了我认为我应该使用的编码(latin-1)并找到了所需的语法,添加了,我仍然收到相同的结果。
答案 0 :(得分:1)
散列适用于字节。 str
个对象包含Unicode文本,而不是字节,因此您必须先编码。选择a)可以处理您可能遇到的所有代码点的编码,也许b)生成相同哈希的其他系统也可以使用。
如果你是哈希的唯一用户,那么选择UTF-8;它可以处理所有Unicode,对西方文本最有效:
newpassword = hashlib.sha224(newpassword.encode('utf8')).hexdigest()
hash.hexdigest()
的返回值是Unicode str
值,因此您可以安全地将其与从文件中读取的str
值进行比较。