高效地生成一个16个字符的字母数字字符串

我正在寻找一种非常快速的方法来为表中的主键生成字母数字唯一的 id。

这样有用吗?

def genKey():
hash = hashlib.md5(RANDOM_NUMBER).digest().encode("base64")
alnum_hash = re.sub(r'[^a-zA-Z0-9]', "", hash)
return alnum_hash[:16]

生成随机数的好方法是什么? 如果我以微时间为基础,我必须考虑不同实例同时调用 genKey ()的可能性。

还是说有更好的办法?

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You can use this:

>>> import random
>>> ''.join(random.choice('0123456789ABCDEF') for i in range(16))
'E2C6B2E19E4A7777'

There is no guarantee that the keys generated will be unique so you should be ready to retry with a new key in the case the original insert fails. Also, you might want to consider using a deterministic algorithm to generate a string from an auto-incremented id instead of using random values, as this will guarantee you uniqueness (but it will also give predictable keys).

Have a look at the uuid module (Python 2.5+).

A quick example:

>>> import uuid
>>> uid = uuid.uuid4()
>>> uid.hex
'df008b2e24f947b1b873c94d8a3f2201'

Note that the OP asked for a 16-character alphanumeric string, but UUID4 strings are 32 characters long. You should not truncate this string, instead, use the complete 32 characters.

This value is incremented by 1 on each call (it wraps around). Deciding where the best place to store the value will depend on how you are using it. You may find this explanation of interest, as it discusses not only how Guids work but also how to make a smaller one.

The short answer is this: Use some of those characters as a timestamp and the other characters as a "uniquifier," a value increments by 1 on each call to your uid generator.

For random numbers a good source is os.urandom:

 >> import os
>> import hashlib
>> random_data = os.urandom(128)
>> hashlib.md5(random_data).hexdigest()[:16]

Simply use python builtin uuid:

If UUIDs are okay for your purposes use the built in uuid package.

One Line Solution:

>>> import uuid
>>> str(uuid.uuid4().get_hex().upper()[0:16])
'40003A9B8C3045CA'
>>> import random
>>> ''.join(random.sample(map(chr, range(48, 57) + range(65, 90) + range(97, 122)), 16))
'CDh0geq3NpKtcXfP'

As none of the answers provide you with a random string consisting of characters 0-9, a-z, A-Z: Here is a working solution which will give you one of approx. 62^16 = 4.76724 e+28 keys:

import random, string
x = ''.join(random.choice(string.ascii_uppercase + string.ascii_lowercase + string.digits) for _ in range(16))
print(x)

It is also very readable without knowing ASCII codes by heart.

There is an even shorter version since python 3.6.2:

import random, string
x = ''.join(random.choices(string.ascii_letters + string.digits, k=16))
print(x)

simply use python inbuilt uuid :

import uuid
print uuid.uuid4().hex[:16].upper()

In Python 3.6, released in December 2016, the secrets module was introduced.

You can now generate a random token this way :

import secrets


secrets.token_hex(16)

From the Python docs :

The secrets module is used for generating cryptographically strong random numbers suitable for managing data such as passwords, account authentication, security tokens, and related secrets.

In particularly, secrets should be used in preference to the default pseudo-random number generator in the random module, which is designed for modelling and simulation, not security or cryptography.

https://docs.python.org/3/library/secrets.html

You could use the choice function in np.random which chooses the number of characters specified from a list of characters:

import numpy as np
chars = np.array(list('abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789'))
np_codes = np.random.choice(chars,16)
print(''.join([val for val in np_codes]))

this outputs something like the following: 591FXwW61F4Q57av

import math
import secrets




def random_alphanum(length: int) -> str:
if length == 0:
return ''
elif length < 0:
raise ValueError('negative argument not allowed')
else:
text = secrets.token_hex(nbytes=math.ceil(length / 2))
is_length_even = length % 2 == 0
return text if is_length_even else text[1:]
  • uuid method is inefficient and limited because uuid only returns 36 characters, and is then truncated.
  • default psuedo-random number generator is not suitable for security or cryptographic applications, a standard module secrets is available and is designed for these applications.

There's an official recipe:

import string
import secrets
alphabet = string.ascii_letters + string.digits
password = ''.join(secrets.choice(alphabet) for i in range(16))
print(password)

This will create output similar to 'STCT3jdDUkppph03'.

I would prefer urandom over secrets.token_hex, as it samples from a richer character set and hence needs a smaller length to achieve the same entropy.

os.urandom, which reads from urandom, is considered secure (see the relevant answer in a question if urandom is secure). You can then read as much as you like from urandom and produce a random alphanummeric as follows:

import math
import os
def random_alphanumeric(str_len: int) -> str:
rand_len = 3 * (math.ceil(str_len / 3) + 1)
return base64.b64encode(os.urandom(rand_len), altchars=b'aA').decode('ascii')[:str_len]

NOTE: The above function is not secure. Since you need a "very quick way to generate an alphanumeric", this function sacrifices performance over security, since the frequencies of a and A (or whatever characters you choose to replace + and / with) will be increased compared to what urandom would give you otherwise.

If you put randomness above performance, you could do something like:

def secure_random_alphanumeric(str_len: int) -> str:
ret = ''
while len(ret) < str_len:
rand_len = 3 * (math.ceil((str_len - len(ret)) / 3) + 2)
ret += base64.b64encode(os.urandom(rand_len)).decode('ascii').replace('+', '').replace('/', '').replace('=', '')
return ret[:str_len]

Note that chaining replace turns out to be faster than sequntially calling it, as per this answer.

Also, in the above, +1 is replaced by +2 when determining rand_lento reduce the number of iterations needed to achieve the requested length. You could even replace by +3 or more to reduce even more the possibility for an iteration, but then you would loose in performance at the chained replace calls.