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Web3 Functions SDK & Hardhat Plugin

This SDK allows builders to build & run Web3 Functions as well as provides a hardhat plugin for ease integration in Hardhat developer environments:

Getting Started with Web3 Functions
Hardhat Plugin

Getting Started with Web3 Functions

Project Setup

Install project dependencies

yarn install

If you want to use a private RPC provider,
- Copy .env.example to init your own .env file

cp .env.example .env

Complete your .env file with your private settings

Write a Web3Function

Create a new file in src/web3-functions
Register your web3Function main function using Web3Function.onRun
Example:

import { Web3Function, Web3FunctionContext } from "../lib";
import { Contract } from "@ethersproject/contracts";
import ky from "ky"; // we recommend using ky as axios doesn't support fetch by default

const ORACLE_ABI = [
  "function lastUpdated() external view returns(uint256)",
  "function updatePrice(uint256)",
];

Web3Function.onRun(async (context: Web3FunctionContext) => {
  const { userArgs, gelatoArgs, provider } = context;

  // Retrieve Last oracle update time
  const oracleAddress = "0x6a3c82330164822A8a39C7C0224D20DB35DD030a";
  const oracle = new Contract(oracleAddress, ORACLE_ABI, provider);
  const lastUpdated = parseInt(await oracle.lastUpdated());
  console.log(`Last oracle update: ${lastUpdated}`);

  // Check if it's ready for a new update
  const nextUpdateTime = lastUpdated + 300; // 5 min
  const timestamp = (await provider.getBlock("latest")).timestamp;
  console.log(`Next oracle update: ${nextUpdateTime}`);
  if (timestamp < nextUpdateTime) {
    return { canExec: false, message: `Time not elapsed` };
  }

  // Get current price on coingecko
  const currency = "ethereum";
  const priceData: any = await ky
    .get(
      `https://api.coingecko.com/api/v3/simple/price?ids=${currency}&vs_currencies=usd`,
      { timeout: 5_000, retry: 0 }
    )
    .json();
  price = Math.floor(priceData[currency].usd);
  console.log(`Updating price: ${price}`);

  // Return execution call data
  return {
    canExec: true,
    callData: oracle.interface.encodeFunctionData("updatePrice", [price]),
  };
});

create your web3Function schema.json to specify your runtime configuration:

{
  "web3FunctionVersion": "2.0.0",
  "runtime": "js-1.0",
  "memory": 128, 
  "timeout": 30,
  "userArgs": {}
}

Test your web3Function

Use yarn test FILENAME command to test your web3Function
Options:
- --logs Show internal Web3Function logs
- --runtime=thread|docker Use thread if you don't have dockerset up locally (default: thread)
- --debug Show Runtime debug messages
- --chain-id=[number] Specify the chainId to be used for your Web3Function (default: 5)
Example: yarn test src/web3-functions/index.ts --logs --runtime=thread

Output:

Web3Function Build result:
✓ File: ./.tmp/index.js
✓ File size: 1.70mb
✓ Build time: 109.93ms

Web3Function running logs:
> ChainId: 5
> Last oracle update: 1665512172
> Next oracle update: 1665512472
> Updating price: 1586

Web3Function Result:
✓ Return value: {
  canExec: true,
  callData: '0x8d6cc56d0000000000000000000000000000000000000000000000000000000000000632'
}

Web3Function Runtime stats:
✓ Duration: 0.91s
✓ Memory: 57.77mb

Deploy / Fetch Web3Function

Use yarn deploy FILENAME command to upload your web3Function.

> yarn deploy ./src/web3-functions/index.ts

Use User arguments

Declare your expected userArgs in you schema, accepted types are 'string', 'string[]', 'number', 'number[]', 'boolean', 'boolean[]':

{
  "web3FunctionVersion": "2.0.0",
  "runtime": "js-1.0",
  "memory": 128, 
  "timeout": 30,
  "userArgs": {
    "currency": "string",
    "oracle": "string"
  }
}

Access your userArgs from the Web3Function context:

Web3Function.onRun(async (context: Web3FunctionContext) => {
  const { userArgs, gelatoArgs, secrets } = context;

  // User args:
  console.log('Currency:', userArgs.currency)
  console.log('Oracle:', userArgs.oracle)
  
});

Add userArgs.json in your web3 function folder:

{
  "oracle": "0x6a3c82330164822A8a39C7C0224D20DB35DD030a",
  "currency": "ethereum"
}

Use Secrets (ie: environment variables)

Use secrets to store any private credentials that should not be published on IPFS with your web3 function.

Create a .env file in your web3 function folder, containing your key / value secrets:

API_KEY="XXXX"

Access your secrets from the Web3Function context:

Web3Function.onRun(async (context: Web3FunctionContext) => {
  const { secrets } = context;

  // Get api key from secrets
  const apiKey = await context.secrets.get("API_KEY");
  if (!apiKey)
    return { canExec: false, message: `API_KEY not set in secrets` };
    
});

When creating a task on Gelato UI, you will be asked to enter secrets. They will be store securely in Gelato Network.

Use State / Storage

Web3Functions are stateless scripts, that will run in a new & empty memory context on every execution. If you need to manage some state variable, we provide a simple key/value store that you can access from your web3Function context.

See the above example to read & update values from your storage:

import {
  Web3Function,
  Web3FunctionContext,
} from "@gelatonetwork/web3-functions-sdk";

Web3Function.onRun(async (context: Web3FunctionContext) => {
  const { storage, provider } = context;

  // Use storage to retrieve previous state (stored values are always string)
  const lastBlockStr = (await storage.get("lastBlockNumber")) ?? "0";
  const lastBlock = parseInt(lastBlockStr);
  console.log(`Last block: ${lastBlock}`);

  const newBlock = await provider.getBlockNumber();
  console.log(`New block: ${newBlock}`);
  if (newBlock > lastBlock) {
    // Update storage to persist your current state (values must be cast to string)
    await storage.set("lastBlockNumber", newBlock.toString());
  }

  return {
    canExec: false,
    message: `Updated block number: ${newBlock.toString()}`,
  };
});

Test storage execution:

yarn test src/web3-functions/storage/index.ts --logs

You will see your updated key/values:

Simulated Web3Function Storage update:
 ✓ lastBlockNumber: '8321923'

To run your web3 function using mock storage values, add a storage.json in your web3 function folder:

{
  "lastBlockNumber": "8200000"
}

Speed run DevX with the Web3 Function Hardhat Plugin

The Web3 Function Hardhat Plugin provides built-in hardhat tasks that will speed your development as well as provide a great DevX for end to end testing.

In order to user the Hardhat Plugin you will need to:

Configure Hardhat

Import Web3 functions Hardhat plugin into hardhat.config.ts:

import "@gelatonetwork/web3-functions-sdk/hardhat-plugin";

const config: HardhatUserConfig = {
  w3f: {
    rootDir: "./web3-functions", //where your Web3 Function is located
    debug: false,
    networks: ["mumbai", "goerli", "baseGoerli"], //(multiChainProvider) injects provider for these networks
  },
}

Web3 Function Simulation

Use the following command to run your web3 function locally:
npx hardhat w3f-run W3F_NAME

Options:
- --logs Show internal Web3Function logs
Example:
npx hardhat w3f-run oracle --logs

Deploy Web3 Function to IPFS

Use the following command to deploy your web3 function to IPFS:
npx hardhat w3f-deploy W3F_NAME

Example:
npx hardhat w3f-deploy oracle

E2E testing

The Web3 Function hardhat plugin exposes the w3f object that can be imported directly from hardhat.

This object will help you to instantiate your Web3 Function and run it.

const { w3f } = hre;

oracleW3f = w3f.get("W3F_NAME");

userArgs = {
  currency: "ETH",
  oracleAddress: oracle.address,
};
let { result } = await oracleW3f.run({ userArgs });

if (result.canExec) {
  const calldata = result.callData[0];
  await owner.sendTransaction({ to: calldata.to, data: calldata.data });
}