arakurumi/bot repository overview

Docker-Bot

Ready-to-run Docker images for my Telegram bot workloads. Each variant layers a self-contained Python environment on top of a prebuilt media toolbox, so you get FFmpeg, aria2c, rclone, 7-Zip and friends together with the bot dependencies — without installing anything on the host.

⁠Features

• Two variants — gemoe and mltb, each with its own dependency set
• Isolated environments — packages live in /gemoe (plus /librespot) and /mltb, not in the system Python
• Prebuilt toolbox base — media and CLI utilities inherited from arakurumi/myne and arakurumi/mltb
• Multi-architecture — linux/amd64 and linux/arm64 in a single manifest per tag
• Daily rebuilds — refreshed automatically on a schedule and on every change to its source directory
• Verified publishes — every build checks that the environment and key packages import inside the pushed image
• No exposed ports — designed for interactive use and for running bot code you mount in

⁠Quick Start

Pull the image for the bot you want to run:

docker pull arakurumi/bot:gemoe

Start an interactive shell:

docker run --rm -it arakurumi/bot:gemoe

Working on files in your current directory? Mount it as a workspace:

docker run --rm -it -v "$PWD:/workspace" -w /workspace arakurumi/bot:gemoe

On Windows PowerShell:

docker run --rm -it -v "${PWD}:/workspace" -w /workspace arakurumi/bot:gemoe

For the MLTB environment, use arakurumi/bot:mltb.

Because dependencies are installed into virtual environments, run bot code with the bundled interpreter:

docker run --rm arakurumi/bot:gemoe /gemoe/bin/python -c "import kurigram, yt_dlp; print('ok')"

docker run --rm arakurumi/bot:mltb /mltb/bin/python -c "import kurigram, yt_dlp; print('ok')"

⁠Configuration

No environment variables or ports are required. Both images default to /bin/sh as their command and inherit the media tooling and defaults of their base toolbox image.

⁠Tags

Only the two variant tags are published:

gemoe
mltb

These tags are rebuilt and pushed automatically on changes to the source and on a daily schedule, so their contents can change between pulls.

⁠Updating

Pull fresh copies of the tag you use:

docker pull arakurumi/bot:gemoe
docker pull arakurumi/bot:mltb

⁠Documentation

Full source and build details are on GitHub: arakurumi/Docker-Bot⁠

⁠License

Released under the MIT License⁠.