Randimizer generates timstamped unique random strings with minimal collision probability.
Project description
Introduction
This package provides a simple way how to generate timestamped random strings with minimal length of 8 characters. The first 6 characters are the timestamp in seconds and the remaining set of characters (required length - 6) are randomly generated.
The random string is generated using the following set of characters: abcdefghijkmnopqrstuvwxyzABCDEFGHJKLMNPQRSTUVWXYZ23456789
as you can see the characters l
and I
are not included to avoid confusion with 1
and 0
.
The key advantage of this package is the ability to generate completely unique and not easily predictible strings with the performace:
- 57 strings per 1 seconds for a length of 7 characters
- 3,249 strings per 1 seconds for a length of 8 characters
- 185,193 strings per 1 seconds for a length of 9 characters
Usage
# import the randomizer
from surquest.utils.randomizer import Randomizer
# Generate a timestamped random string with a length of 8 characters
random_string = Randomizer.generate_timestamped_random_string(
string_length=8
) # returns something like `gechEuKq`
Installation
The package is available on PyPI and can be installed using pip:
pip install surquest-utils-random-string-generator
Additional information
You are also able to submit your own set of characters to be used for the random string generation.
import string
from surquest.utils.randomizer import Randomizer
# Generate a timestamped random string with a length of 8 characters
randomizer = Randomizer(
string_length=8,
characters=string.ascii_letters + string.digits
)
random_string = randomizer.generate_timestamped_random_string(10)
The Randomizer class can be also used for conversion of integers to strings based on given set of characters.
from surquest.utils.randomizer import Randomizer
randomizer = Randomizer()
# input number
number = 1234567890
# convert number to string
random_string = randomizer.convert_integer_to_charset(number)
# convert string back to number
number = randomizer.convert_charset_to_integer(random_string)
Local development
You are more than welcome to contribute to this project. To make your start easier we have prepared a docker image with all the necessary tools to run it as interpreter for Pycharm or to run tests.
Build docker image
# powershell syntax (windows)
docker build `
--tag surquest/utils/randomizer `
--file package.base.dockerfile `
--target test .
Run tests
# powershell syntax (windows)
docker run --rm -it `
-v "${pwd}:/opt/project" `
-w "/opt/project/test" `
surquest/utils/randomizer pytest
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