Technical Setup

Setting Up Solana CLI

To begin interacting with the Solana blockchain, you first need to set up the Solana Command Line Interface (CLI).

To install the Solana CLI, execute the following command in your terminal:

curl --proto '=https' --tlsv1.2 -sSf https://release.solana.com/stable/install/solana-release-x86_64-unknown-linux-gnu.tar.bz2 | sh

This will install the necessary tools to interact with the Solana blockchain.

Creating a Solana Wallet

Next, create a wallet to manage your Solana accounts and assets:

# Generate a new keypair
solana-keygen new --outfile ~/my-wallet.json

You can now use this wallet to deploy smart contracts and interact with the blockchain.

Deploying Smart Contracts

Nebula Terminal leverages smart contracts to automate blockchain operations. Here’s how you can deploy a smart contract written in Rust using Solana’s BPF (Berkeley Packet Filter) format.

1. Write the smart contract (using Rust and Solana SDK).

2. Build the contract:

# Build the smart contract using Solana's BPF format
cargo build-bpf

1. Deploy the contract:

# Deploy the smart contract to the Solana blockchain
solana program deploy /path/to/contract.so

This will deploy your smart contract to the Solana network, and it will be ready to interact with the AI Engine or trigger automated actions.

AI Model Integration

Nebula Terminal supports both supervised learning and reinforcement learning models. These models are typically trained on external systems or off-chain servers, using historical blockchain data. Once trained, the models are hosted on a server where they can receive live blockchain data, analyze it, and send predictions or instructions to Solana smart contracts.

Example: Python Integration with Solana

Here’s an example of using a Python-based AI model with Solana to make predictions and trigger smart contracts:

from solana.rpc.api import Client
import requests
import numpy as np
from sklearn.linear_model import LinearRegression

# Solana client setup
solana_client = Client("https://api.mainnet-beta.solana.com")

# AI model (e.g., Linear Regression) for price prediction
price_data = np.array([100, 105, 110, 115, 120]).reshape(-1, 1)  # Example price data
time_data = np.array([1, 2, 3, 4, 5]).reshape(-1, 1)

model = LinearRegression()
model.fit(time_data, price_data)

# Predict future price
future_time = np.array([6]).reshape(-1, 1)
predicted_price = model.predict(future_time)

# Trigger Solana smart contract based on AI decision
if predicted_price > 125:
    # Send transaction to execute smart contract
    # Example of sending tokens or triggering smart contract
    solana_client.send_transaction(transaction)

Interacting with Blockchain Data

Blockchain data can be retrieved using Solana’s RPC API to fetch information like token balances, transactions, or contract events. Data from these transactions can be fed into the AI models for analysis.

Example of querying account info:

Here's a simple example of querying an account's information using Solana's @solana/web3.js library:

const { Connection, PublicKey, clusterApiUrl } = require('@solana/web3.js');
const connection = new Connection(clusterApiUrl('mainnet-beta'), 'confirmed');

async function getAccountInfo(publicKey) {
  const accountInfo = await connection.getAccountInfo(new PublicKey(publicKey));
  console.log(accountInfo);
}

getAccountInfo('your-public-key-here');

Replace 'your-public-key-here' with the actual public key of the account you wish to query. This script establishes a connection to the Solana mainnet and fetches information for the specified account. The account information can then be used as input for further data analysis or decision-making processes in AI models.