pixelart-tracker 0.0.1

iDotMatrix YouTube Subscriber Counter

This project uses Python to display the number of subscribers of a YouTube channel on a 32px by 32px iDotMatrix-style pixel art screen.

Dependencies:

• Python 3.x
• asyncio
• aiohttp
• PIL (Pillow) 10.x
• idotmatrix 0.0.4
• PyDantic 1.10.x

Installation:

1. Clone the repository:

git clone https://github.com/nesitor/subscribers-viewer.git

2. Create the venv:

python3 virtualenv venv
source ./venv/bin/activate

3. Install the dependencies:

pip install -e .

4. Get your Youtube API KEY: Request an API KEY going here https://console.cloud.google.com/apis/api/youtube.googleapis.com/credentials

5. Set env variables:

export SUBS_YOUTUBE_CHANNEL_ID=YOUR_YOUTUBE_CHANNEL_ID
export SUBS_YOUTUBE_API_KEY=YOUR_YOUTUBE_API_KEY

Usage:

1. Scan for compatible devices:

python3 src/app.py --scan

2. Run the client:

python3 src/app.py --address <device_mac_address>/auto

Where <device_mac_address> is the device physical address or auto is to autodiscover devices and use the first one found.

Example:

python3 src/app.py --address 37:D4:98:8F:2B:C8

Code Explanation:

• The script uses the aiohttp library to get the YouTube channel information.
• The channel information is parsed into a dictionary.
• The subscriber count is extracted from the dictionary.
• The subscriber count is converted to a pixel readable string.
• The string is converted to a character array.
• The character array is used to create a pixel art image.
• The pixel art image is displayed on the screen.

Technical Details:

• The iDotMatrix display is simulated using the PIL (Pillow) library.
• The total screen size is 32px by 32px pixels.
• The pixels are colored always white for the characters.
• The pixel art image is scaled to fit the screen.

License:

This project is licensed under the MIT license.

Contributions:

Contributions to this project are welcome. Create an issue or pull request on GitHub to get started.