Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

• Node.js (v14 or later)
• npm (usually comes with Node.js)
• dfx (Internet Computer SDK)

Setting up the project

1. Clone the repository:

   git clone https://github.com/IC-DAPPS/rust-svelte-gix
   cd rust-svelte-gix
   

2. Install dependencies:

   npm install
   

3. Install playwright:

   npx playwright install --save-dev
   

Running the application locally

1. Start the Internet Computer local network:

   dfx start --clean
   

Running tests

In a new terminal, you can run the tests:

To run all tests:

npm run test

To run specific tests:

• For card component: npm run test:card

Built With

• Svelte - The web framework used
• Internet Computer - Deployment platform
• Playwright - Testing framework

Installation and Running Tests using pocket-ic inside container

For macOS and Linux Users

Using Docker

1. Install Docker Desktop:

   • macOS: Download and install from Docker Desktop for Mac
   • Linux: Follow the instructions for your specific distribution on Docker's official documentation

2. Ensure Docker Desktop is running on your laptop:

   • Open Docker Desktop application
   • Wait for the Docker engine to start (you'll see a green "Running" status)

3. Open a terminal or command prompt

4. Navigate to your project directory:

   cd path/to/your/project
   

5. Build the Docker image:

   npm run build:docker
   

6. Run the tests:

   npm run run:docker
   

Note: Make sure Docker Desktop is running before executing these commands. If you encounter any issues, check Docker Desktop's status and restart it if necessary.

Using Podman (Linux only)

1. Install Podman:

   • For most Linux distributions, use your package manager. For example, on Ubuntu:

     sudo apt-get update
     sudo apt-get install -y podman
     

2. Build the Podman image:

   npm run build:podman
   

3. Run the tests:

   npm run run:podman
   

Note: Podman is not officially supported on macOS. If you're using macOS, we recommend using Docker.

License

This project is licensed under the MIT License - see the LICENSE.md file for details