Skip to main content

A wrapper for the Discord Python Pixels API.

Project description

PyDisPix

A simple wrapper around Python Discord Pixels.

Requires Python 3.7+ (3.x where x >= 7).

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()

# Fetch the canvas
canvas = client.get_canvas()

# Show the canvas using PIL
canvas.show()

# Show the canvas using matplotlib, this will include coordinates
canvas.mpl_show()

# Save the canvas to a file
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()

To prefer fixing existing pixels to placing new ones:

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

Churches

Churches are groups of people collaborating on some image, or set of images on the canvas. It's basically a big botnet of people. Most popular church is currently the Church Of Rick. Churches provide it's members with tasks to fill certain pixels, and the members finish those tasks and report it back to the church. This is how you run a single task like this with Church of Rick:

from pydispix.churches import RickChurchClient

client = RickChurchClient(pixels_api_token, rick_church_api_token)
client.run_task()

Church of SQLite is also supported, and they don't require an API key, it is free for everyone:

from pydispix.churches import SQLiteChurchClient

client = SQLiteChurchClient(pixels_api_token)
client.run_task()

You can also implement your own church according to it's specific API requirements, if you're interested in doing this, check the church.py and how the specific churches are implemented using it: churches.py.

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-0.9.1.tar.gz (16.4 kB view details)

Uploaded Source

Built Distribution

pydispix-0.9.1-py3-none-any.whl (18.5 kB view details)

Uploaded Python 3

File details

Details for the file pydispix-0.9.1.tar.gz.

File metadata

  • Download URL: pydispix-0.9.1.tar.gz
  • Upload date:
  • Size: 16.4 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-0.9.1.tar.gz
Algorithm Hash digest
SHA256 16687467a84bf39e5a65e1fbc384e7218bbdd8749c6414be03764080f304b590
MD5 a724c9dfa8c16524555fcefc597e14fb
BLAKE2b-256 420349cdfcab105609dc160f912dd9118ce385a5190c9646f845768f9296186f

See more details on using hashes here.

File details

Details for the file pydispix-0.9.1-py3-none-any.whl.

File metadata

  • Download URL: pydispix-0.9.1-py3-none-any.whl
  • Upload date:
  • Size: 18.5 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-0.9.1-py3-none-any.whl
Algorithm Hash digest
SHA256 89662afb0f49d3f63a7dbaba60897f91a5b00e4bdbca7c035b4ac6eb3147d04c
MD5 178b818c7493687b5015c5ac6345a370
BLAKE2b-256 bf0da83edf933767dd2e8fac4c238703cf459c4aadda123aacdc6c115e0191d8

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