The Fuel Client is an innovative implementation that opens up exciting possibilities in the world of blockchain technology. In this guide, we will walk you through the steps to build, test, and run the Fuel Client effectively. So buckle up and let’s get started!

System Requirements

Before we dive into the building process, you need to ensure your system meets certain requirements:

• MacOS:

  brew update

  brew install cmake

• Debian:

  apt update

  apt install -y cmake pkg-config build-essential git clang libclang-dev

• Arch:

  pacman -Syu --needed --noconfirm cmake gcc pkgconf git clang

Rust Setup

You will need to install the wasm32-unknown-unknown target:

rustup target add wasm32-unknown-unknown

Compiling the Fuel Client

For compiling the Fuel Client, we recommend using xtask. Think of it as a well-organized workshop where everything is set ready for production:

cargo xtask build

This command will not only compile the Fuel Client but also handle other custom processes like regenerating the GraphQL schema.

Running the Fuel Client

Now that you’ve built the client, it’s time to run it. You can execute the service using the command below, much like turning the key in the ignition to start your vehicle:

./target/debug/fuel-core run

To see the options available when running, use the help command:

./target/debug/fuel-core run --help

Building with Docker and Kubernetes

For those looking to leverage Docker and Kubernetes, here are the commands:

• Create Docker Image:

  docker build -t fuel-core . -f deployment/Dockerfile

• Delete Docker Image:

  docker image rm fuel-core

• Create Kubernetes Volume, Deployment, Service:

  kubectl create -f deployment/fuel-core.yml

• Delete Kubernetes Volume, Deployment, Service:

  kubectl delete -f deployment/fuel-core.yml

Troubleshooting

Even with the best intentions, sometimes things go awry. Here are some troubleshooting tips:

• Publishing Issues: If you face problems with publishing, use the publish-crates action for automatic publishing of all crates. Troubleshoot it locally with:

  act release -s GITHUB_TOKEN=YOUR_GITHUB_TOKEN -j publish-crates-check --container-architecture linux/amd64 --reuse

• Outdated Database: Should you encounter an error regarding the database, clear your local database using:

  rm -rf ~/.fuel/db

• File Descriptor Limits: On MacOS, if you see errors about too many open files, adjust the file limit for your session:

  ulimit -n 10240

• Log Levels: Control the log levels using the RUST_LOG environment variable for better debugging.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

By following these steps, you should be well on your way to successfully implementing and running the Fuel Client. Remember, like any complex engine, sometimes you need to tweak and troubleshoot to get everything running smoothly!

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.