Welcome to your ultimate guide on setting up and running a Hyperledger Fabric application using Go, Gin, and Vue. In this article, we’ll walk through the steps required for installation and usage, making it user-friendly for developers of all levels. Plus, we’ll offer troubleshooting ideas to help you resolve common issues while working with these technologies.
Prerequisites
Before we dive in, ensure you have the following prerequisites ready:
- Docker
- Docker Compose
- Linux or Mac OS
Installation Steps
Let’s get started with setting up your Hyperledger Fabric environment.
1. Clone the Repository
First, you’ll want to clone the necessary GitHub repository for the application:
git clone https://github.com/your-repo/rootfabric-realty
2. Set Permissions
Navigate into the cloned directory and set the appropriate permissions:
cd rootfabric-realty
sudo chmod -R +x rootfabric-realty
3. Start the Network
To start your application, execute the following commands:
./network.start.sh
./application.start.sh
Accessing the Application
Once your application is running, you can access it at the following URLs:
Stopping the Application
When you’re done, you may want to stop your application. Use the following commands:
./networkexplorer.stop.sh
./application.stop.sh
./network.stop.sh
Understand the Architecture
To better grasp how to work with this setup, let’s break down its architecture using an analogy:
Think of your application like a multi-story building. Each floor represents a different component:
- The ground floor (Fabric SDK with Gin) is the entrance where customers (API requests) come in.
- The second floor (Vue + Element-UI) is the stylish interface where users interact with the application.
- The upper floors (Chaincode in Go) house the essential frameworks that execute the backend logic.
- The roof (Hyperledger Fabric) provides the necessary security and infrastructure, ensuring everything runs smoothly beneath it.
Troubleshooting
If you encounter issues while setting up the Hyperledger Fabric application, consider these troubleshooting tips:
- Ensure that Docker and Docker Compose are correctly installed on your machine.
- Check that you’ve navigated to the correct directory before running any scripts.
- Verify that the ports (8000, 8888, and 8080) are not in use by other applications.
- If the application is not accessible, restart both Docker and your application.
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Final Thoughts
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.