pagan
Welcome to the Python Avatar Generator for Absolute Nerds.
Current version: 0.4.3
View the change history here.
Remember those good old days when your imagination was a big part of the computer gaming experience? Hardware limitations forced you to fill the void left by poorly pixelated images. Pagan brings back those nostalgic feelings by generating identicons in an old-school style inspired by retro roleplaying adventure games.
Pagan hashes input strings to generate unique avatar images intended for use as profile pictures in web applications. These images can be used to replace default user images for new accounts, or to enhance comment sections by visually representing a user's IP address or username.
Pagan is currently under development. It can perform the following functions:
- Generate identicons with unique colors and gear based on any input string.
- Use multiple hash functions from within Python's hashlib.
- Create avatar images to fit a specific resolution.
- Remap 16x16 generated pixelmaps to a required image size.
- Expand generated pagans by adding new weapons or gear.
Enjoy the nostalgia!
Some example avatars hashed with SHA512:
| Input | Avatar |
|---|---|
| pagan |  |
| python |  |
| avatar |  |
| github |  |
| retro |  |
| piece of cake |  |
| hash me if you can |  |
Installation:
To install Pagan, first clone this repository:
>> git clone https://github.com/daboth/pagan.git
Then, enter this command at the terminal to manually install Pagan:
>> python setup.py install
Alternatively, use this command to install pagan via pip:
>> pip install pagan
Python usage example:
# Import the pagan module.
import pagan
# Acquire an arbitrary string.
inpt = 'pagan'
# Use pagan to generate an avatar object based on an input string.
# Optional: You may specify which hash function Pagan should use.
# The functions are available as constants.
# Default: MD5.
img = pagan.Avatar(inpt, pagan.SHA512)
# Open the avatar image in an
# external image viewer.
img.show()
# Set an output path and a file name.
# You don't need to specify a file ending.
# Choose a path depending on your OS.
outpath = 'output/'
filename = inpt
# Saves the avatar image as a .png file
# by omitting the path and name. The
# file endings will be generated automatically.
img.save(outpath, filename)
# You can change the avatar input and
# hash function anytime.
img.change('new input', pagan.SHA256)
Command Line Interface
The pagan command line interface can be used to generate avatars without needing to write a python script:
>> pagan [-h] [--show] [--output OUTPUT] [--hash HASH] input [input ...]
For example, typing
>> pagan hello
will generate an avatar from the string 'hello' and save it in the current working directory.
For more information, execute Pagan using the -h help parameter:
>> pagan -h
Webserver
A demo of Pagan can be run in a webserver application. To access the Pagan demo, execute the following instructions from the webserver directory:
>> cd /tools/webserver/
>> python webserver.py
Beware: This demo of Pagan will fill your temporary directory with generated image files. Do not run it in production!
The webserver will serve from localhost port 8080. Open this adress in your browser window:
http://127.0.0.1:8080/
Supported Hashes
| Hash | Constant |
|---|---|
| md5 | pagan.MD5 |
| sha1 | pagan.SHA1 |
| sha224 | pagan.SHA224 |
| sha256 | pagan.SHA256 |
| sha384 | pagan.SHA384 |
| sha512 | pagan.SHA512 |
Testing
To test Pagan, you must install either the pytest or tox Python modules. Configure tox.ini to test different Python versions.
Docker
To use pagan within Docker, you must build the Docker image with:
>> docker build -t pagan .
Then, run docker image
>> docker run -d -p 8080:8080 -t pagan
The webserver inside Docker will serve from localhost port 8080. Open this adress in your browser window:
http://127.0.0.1:8080/
If you want to use PAGAN CLI, you just have to look for the IP Adress of the Docker container and then connect through ssh with user: pagan and pass: pagan, like this:
>> ssh -X [email protected]
Using py.test
>> pip install pytest
>> pytest
Using tox
>> pip install tox
>> tox
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