krosseye/decker repository overview

⁠Decker

⁠Development Docker Container for Pepper 🤖🐍

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This development environment is containerized and reproducible, providing all necessary dependencies for Python application development for the Pepper robot. Pepper utilizes Python 2.7, which is end-of-life, and finding compatible tools can be challenging. This environment aims to streamline the setup process.

⁠Features ✨

• Tags Available: Use the tag krosseye/decker:dev for a comprehensive development environment setup. Alternatively, krosseye/decker:slim offers a leaner image suitable for either creating redistributable applications or setting up a minimal development environment 🏷️

• Distro: Debian Buster 🐧

• Python: Python 2.7 is installed and includes requests, numpy and version 2.5 of the NAOqi SDK 🐍🤖

• Docs: Run the docs command to access the SoftBank Robotics docs locally at http://localhost:8000 📝

• CLI: Includes tools such as git, nano, eza, Pylint and autopep8, along with OhMyBash for enhanced shell experience 🐚

⁠Getting Started 🚀

⁠From Source 📦

• Clone Repository:

  git clone https://github.com/Krosseye/Decker.git
  

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• Build Docker Image:

  docker build -f Dockerfile -t decker .  # build dev variant
  docker build -f Dockerfile.min -t decker:slim .  # build slim variant
  

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⁠From Docker Hub 🐳

• Pull Docker Image:

  docker pull krosseye/decker:dev # pull dev variant
  docker pull krosseye/decker:slim # pull slim variant
  

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⁠Development 💻

• Run Docker Container:

  docker run -d --name decker-env -v decker-workspace:/workspace krosseye/decker
  

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• Enter Dev Container:

  Install the Dev Containers⁠ extension to work with VS Code as if everything were running locally on your machine.

• Development:

  Once inside the container, you'll be in the /workspace directory. You can start developing your Python applications for Pepper.

⁠Notes 📝

• Ensure Docker is installed on your system before beginning.

• This environment assumes familiarity with Unix-likes, Docker and basic container management.