Simple tool to allow to transcrypt Python code that uses P5.js
Project description
Python to P5.js Transcriptor
This project started from a proof of concept based in Axel Tanner's "Transcrypt & p5js" blogpost. The project's main goal was to use Tanner's approach combined with decorator and global variables control to enable P5.js API from being called "directly" from the Python code as clean as possible.
Here's an example of a valid Python code using P5.js API:
from pyp5js import *
def setup():
createCanvas(200, 200)
background(160)
def draw():
fill('blue')
background(200)
r = sin(frameCount / 60) * 50 + 50
ellipse(100, 100, r, r)
start_p5(setup, draw)
Installation
The project is not under Pypi yet, so you'll have to install it from the git repo. To do so, just run:
$ pip install git+https://github.com/berinhard/pyp5js.git@master # python 3 only
Usage
Since you'll be writting Python code and then generating the correspondent P5.js code from it, pyp5js provides a simple command line API to help you to generate the files.
So, to start a new sketch, you'll have to run:
$ pyp5js new my_sketch
This command will create a directory with the following code structure:
~ my_sketch/
~ static /
- p5.js
- index.html
- my_sketch.py
The index.html is prepared to display your sketch, so you'll have to keep on opening it to refresh see results from the code you'll add to my_sketch.py.
After updating your code, you'll have to run the transcrypt command to update the files. Run it as:
$ pyp5js transcrypt my_sketch
The way the code is implemented, for now, you'll have to execute it from the same directory-level where my_sketch is - you can't run it from inside the my_sketch directory.
If you're lazy as me, you can use the monitor command instead of the previous one. The command will monitor your sketch directory and keep track of any changes on any .py files. When it notices a new change, it automatically runs the transcrypt process for you. So, now you'll just have to refresh your index.html file to see the results.
$ pyp5js monitor my_sketch
All of the command-line interface methods have a few optional arguments and you can check them by running:
$ pyp5js --help
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