microsandbox

# Python SDK Image This directory contains the Dockerfile for the Python SDK image used with microsandbox. ## Features - Latest Python version - Common Python development packages pre-installed - microsandbox-portal service with Python REPL support - Non-root user for improved security ## Building the Image To build the image, run the following command from the project root: ```bash docker build -t python -f sdk-images/python/Dockerfile . ``` The Dockerfile uses a multi-stage build that automatically compiles the portal binary with Python features enabled, so no separate build step is required. Alternatively, you can use the provided build script: ```bash ./scripts/build_sdk_images.sh -s python ``` ## Running the Container To run the container with the portal service accessible on port 4444: ```bash docker run -it -p 4444:4444 -e RUST_LOG=info --name python python ``` ### Options - `-p 4444:4444`: Maps container port 4444 to host port 4444 - `-e RUST_LOG=info`: Sets logging level for better debugging - `--name python`: Names the container for easier reference ## Accessing the Container To access a shell inside the running container: ```bash docker exec -it python bash ``` ## Stopping and Cleaning Up ```bash # Stop the container docker stop python # Remove the container docker rm python # Remove the image (optional) docker rmi python ``` ## Customization ### Adding Additional Python Packages You can customize the Dockerfile to include additional Python packages: ```dockerfile # Add this to the Dockerfile RUN pip install --no-cache-dir \ numpy \ pandas \ matplotlib ``` ### Mounting Local Files To access your local files inside the container: ```bash docker run -it -p 4444:4444 -v $(pwd)/your_code:/home/python-user/work --name python python ``` ## Troubleshooting If you encounter connection issues to the portal: 1. Check the logs: `docker logs python` 2. Verify the portal is running: `docker exec -it python ps aux | grep portal` 3. Ensure port 4444 is available on your host machine