Skip to main content

A wrapper for the Discord Python Pixels API.

Project description

PyDisPix

A simple wrapper around Python Discord Pixels.

Requires Python 3.9+ (3.x where x >= 9).

Requires requests, pillow and matplotlib from pip.

Example

import pydispix

# Create a client with your token.
client = pydispix.Client('my-auth-token')

# Let pydispix find your token from `TOKEN` environmental variable
client = pydispix.Client()

# Download and save the canvas.
canvas = client.get_canvas()
canvas.save('canvas.png')

# And access pixels from it.
print(canvas[4, 10])

# Or just fetch a specific pixel.
print(client.get_pixel(4, 10))

# Draw a pixel.
client.put_pixel(50, 10, 'cyan')
client.put_pixel(1, 5, pydispix.Color.BLURPLE)
client.put_pixel(100, 4, '93FF00')
client.put_pixel(44, 0, 0xFF0000)
client.put_pixel(8, 54, (255, 255, 255))

We can also display the image with pillow

canvas = client.get_canvas()
canvas.show()

Or we can display with matplotlib to see it with coordinates

canvas = client.get_canvas()
canvas.mpl_show()

Auto-draw

Load an image:

from PIL import Image

im = Image.open('pretty.png')
ad = pydispix.AutoDrawer.load_image(client, (5, 40), im, scale=0.1)
ad.draw()

Or specify each pixel:

ad = pydispix.AutoDrawer.load(client, '''0
0
3
2
ff0000
00ff00
0000ff
ff0000
00ff00
0000ff''')
ad.draw()

Format of the drawing plan:

  • Leftmost X coordinate
  • Topmost Y coordinate
  • Width
  • Height
  • Each pixel, left-to-right, top-to-bottom.

Auto-draw will avoid colouring already correct pixels, for efficiency.

You can also run this continually with guard=True which makes sure that after your image is drawn, this keeps running to check if it haven't been tampered with, and fixes all non-matching pixels.

ad.draw(guard=True, guard_delay=2)

Guard delay is the delay between each full iteration of all pixels. We need to wait since looping without any changes is almost instant in python, and we don't want to put cpu through that stress for no reason

Progress bars

Every request that has rate limits can now display a progress bar while it's sleeping on cooldown:

pixel = client.get_pixel(0, 0, show_progress=True)
canvas = client.get_canvas(show_progress=True)
client.put_pixel(52, 10, "FFFFFF", show_progress=True)

https://user-images.githubusercontent.com/20902250/119607092-418e4200-bde3-11eb-9ac5-4e455ffd47c2.mp4

Logging

To see logs, you can set the DEBUG environment variable, which changes the loglevel from logging.INFO to logging.DEBUG You can also do this manually by executing:

import logging

logger = logging.getLogger("pydispix")
logger.setLevel(logging.DEBUG)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pydispix-0.4.1.tar.gz (9.4 kB view details)

Uploaded Source

Built Distribution

pydispix-0.4.1-py3-none-any.whl (9.9 kB view details)

Uploaded Python 3

File details

Details for the file pydispix-0.4.1.tar.gz.

File metadata

  • Download URL: pydispix-0.4.1.tar.gz
  • Upload date:
  • Size: 9.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5

File hashes

Hashes for pydispix-0.4.1.tar.gz
Algorithm Hash digest
SHA256 d1586fb69985dab3795bb05106527dd6f9b5bb2f4275cb16679b1142a203604f
MD5 1175dae5ae0913822c9abc4020e4f948
BLAKE2b-256 76e6fe31f5f9e4057335ac32b707ffdb921ebb9146188ac70a9fabb996d4318f

See more details on using hashes here.

File details

Details for the file pydispix-0.4.1-py3-none-any.whl.

File metadata

  • Download URL: pydispix-0.4.1-py3-none-any.whl
  • Upload date:
  • Size: 9.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5

File hashes

Hashes for pydispix-0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 56968cd6263a98c3c6cad4e48179a3d3ce77f5cc26181fda22abb90fe4c756dc
MD5 5f181ab8b5e4fe9eae1339e6ae044159
BLAKE2b-256 22b10ba2dff8c3e42ecbad4225bb78330a7ec5bde2999d28291ca61a6353d53d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page