Bilibili Draw Pixel Utility

A set of Python scripts to help you play the Bilibili Sketching Board.

Features

Written in asynchronous structure with asyncio and aiohttp, can support a large number of accounts
Use cURL format command-line to extract user cookies
Use WebSocket connection to update sketch data incrementally
Provide plug-in interface to implement something interesting, e.g., dynamic figure, digital clock. See clock.py as a demo.
Easy-to-use tools to convert images to drawing tasks

generate.py: generate drawing tasks file for draw_pixel.py and guard.py
draw_pixel.py: draw every pixel of a drawing task in order
guard.py: guard a drawing task with passive and active recovering. The passive recovering compares the sketch board and drawing task at start, recovers the polluted pixels in order. The active recovering watches the region of drawing task, recovers the polluted pixel immediately once it appears
process_image.py: scans a image, converts colors that are not available in palette with the nearest available colors. It is based on LAB color space.
merge_tasks.py: merge and sort multiple task files into a single task file.
download.py: download the current sketch board as a GIF image file
record.py: download and save the sketch board every 3 minutes. It is used to record the drawing process, which can be used to create video later.

Run following command,

python3 -m pip install -r requirements.txt

Open Chrome DevTools, switch to the Network tab
Draw a arbitrary pixel on the sketch board
Locate the POST request named draw and right click the mouse on it
Select Copy -> Copy as cURL (bash), paste and save the content in a text file, e.g., users.txt
If you have other accounts, login your account and do step 1-4 again. Save each content in a single line. You can have blank line or add comment line with leading #

Prepare you image with your favorite Image Editor, and save the image as a PNG file, e.g., foo.png. If you don't want to include some regions in your image, leave those regions transparent
If you are not sure whether this image contains unavailable colors, process your image with command,
```
process_image.py foo.png foo_processed.png
```
Note down the top-left coordinate (x1, y1) at where you want to place your image

Run following command to generate the task file mytask.json,

generate.py -o mytask.json --pattern foo.png --topleft x1 y1

Finally, run following command to start the task,
```
guard.py mytask.json users.txt
```