# Aleleba VSCode Dockerfile Configuration This repository contains a Dockerfile configuration for use with Visual Studio Code with dev tunnel. ## Getting Started To run the Docker container, follow these steps: 1. Clone this repository to your local machine. 2. Open the integrated terminal in Visual Studio Code. 3. Run the Docker container by running the following command: `docker run -it -e HOME_USER=custom-home-user -e VSCODE_TUNNEL_NAME=vscode-ssh-remote-server -v /path/to/extensions.json:/home/extensions.json aleleba/vscode` ### Environment Variables The following environment variables can be set when running the Docker container: - `HOME_USER`: The username of the user running the container. This is used to set the correct permissions on files created in the container. - `VSCODE_TUNNEL_NAME`: The name of the SSH tunnel used by Visual Studio Code to connect to the container. ### Custom Environment Variables You can set custom environment variables for the `HOME_USER` by using the `USER_ENV_` prefix when running the Docker container. These environment variables will be created in the `/home/${HOME_USER}/.bashrc` file without the `USER_ENV_` prefix. For example, if you want to set a custom environment variable named `MY_VARIABLE` for the `HOME_USER`, you can do so by setting the `USER_ENV_MY_VARIABLE` environment variable when running the Docker container: ```bash docker run -it -e HOME_USER=custom-home-user -e USER_ENV_MY_VARIABLE=my_value -e VSCODE_TUNNEL_NAME=vscode-ssh-remote-server -v /path/to/extensions.json:/home/extensions.json aleleba/vscode ``` In this example, MY_VARIABLE will be set to my_value in the /home/${HOME_USER}/.bashrc file. ### Global Environment Variables You can set global environment variables by using the `GLOBAL_ENV_` prefix when running the Docker container. These environment variables will be created in the `/etc/environment` file without the `GLOBAL_ENV_` prefix. For example, if you want to set a global environment variable named `MY_GLOBAL_VARIABLE`, you can do so by setting the `GLOBAL_ENV_MY_GLOBAL_VARIABLE` environment variable when running the Docker container: ```bash docker run -it -e HOME_USER=custom-home-user -e GLOBAL_ENV_MY_GLOBAL_VARIABLE=my_global_value -e VSCODE_TUNNEL_NAME=vscode-ssh-remote-server -v /path/to/extensions.json:/home/extensions.json aleleba/vscode ``` In this example, MY_GLOBAL_VARIABLE will be set to my_global_value in the /etc/environment file. ### Adding VSCode Extensions To add VSCode extensions to the container, create a JSON file with an array of objects containing the extension details you want to install, the only Mandatory field is uniqueIdentifier and follow this structure. For example: ``` [ { "extensionsGroup": { "description": "Extensions of Spanish Language Pack", "extensions": [ { "name": "Spanish Language Pack for Visual Studio Code", "notes": "Extension of Spanish Language Pack for Visual Studio Code", "uniqueIdentifier": "ms-ceintl.vscode-language-pack-es" } ] } }, { "extensionsGroup": { "description": "Extensions of Github Copilot", "extensions": [ { "name": "GitHub Copilot", "notes": "Extension of GitHub Copilot", "uniqueIdentifier": "github.copilot" }, { "name": "GitHub Copilot Chat", "notes": "Extension of GitHub Copilot Chat", "uniqueIdentifier": "github.copilot-chat" } ] } } ] ``` Save this file as `extensions.json` and add it as a volume when running the Docker container on /home/extensions.json. For example: `docker run -it -e HOME_USER=custom-home-user -e VSCODE_TUNNEL_NAME=vscode-ssh-remote-server -v /path/to/extensions.json:/home/extensions.json aleleba/vscode` The extensions will be installed automatically after the container is created. ### Using Docker Compose Alternatively, you can use Docker Compose to run the container with the `aleleba/vscode` image and the `HOME_USER` and `VSCODE_TUNNEL_NAME` environment variables set. Here's an example `docker-compose.yml` file: ``` version: '3' services: vscode: image: aleleba/vscode environment: HOME_USER: custom-home-user VSCODE_TUNNEL_NAME: vscode-ssh-remote-server volumes: - /path/to/extensions.json:/home/extensions.json ``` You can run this `docker-compose.yml` file by navigating to the directory where it is saved and running the following command: `docker-compose up -d` This will start the container in the background and output the container ID. You can then use the `docker ps` command to view the running container. ## Adding Custom Scripts In this project, you can add custom scripts that will be automatically executed when the application starts. The `/usr/bin/custom-scripts` directory in the Docker container is a volume that maps to a directory on your host machine. Here's how you can add a custom script: ### 1. Create a new script file Create a new file with a `.sh` extension in the directory on your host machine that maps to the `/usr/bin/custom-scripts` volume in the Docker container. For example, if the `/usr/bin/custom-scripts` volume maps to the `./custom-scripts` directory on your host machine, you can create a file named `install_node.sh` in the `./custom-scripts` directory. ```bash touch ./custom-scripts/install_node.sh ``` ### 2. Write your script Open the file in a text editor and write your script. Here's an example that installs Node.js using NVM: ```bash #!/bin/bash # Installing Node.js with NVM curl -O https://raw.githubusercontent.com/creationix/nvm/master/install.sh bash install.sh source ~/.nvm/nvm.sh nvm install --lts nvm alias default lts/* nvm use default && npm install -g yo generator-code nvm use default && npm install -g @vscode/vsce ``` The #!/bin/bash line at the top of the script tells the system that this script should be run with the Bash shell. ### 3. Run your Docker container When you start your Docker container, all .sh files in the /usr/bin/custom-scripts directory will be automatically executed in alphabetical order. The environment variables from the /etc/environment file will be loaded before each script is executed. Remember to replace install_node.sh with the name of your script and ./custom-scripts with the actual path to the directory on your host machine that maps to the /usr/bin/custom-scripts volume in the Docker container. ## Contributing If you'd like to contribute to this project, please fork the repository and create a pull request. ## License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. I hope this helps! Let me know if you have any further questions.