@vercel/fun
TypeScript icon, indicating that this package has built-in type declarations

1.1.1 • Public • Published

ƒun

Build Status

Local serverless function λ development runtime.

Example

Given a Lambda function like this one:

// example/index.js
exports.handler = function(event, context, callback) {
	callback(null, { hello: 'world' });
};

You can invoke this function locally using the code below:

import { createFunction } from '@vercel/fun';

async function main() {
	// Starts up the necessary server to be able to invoke the function
	const fn = await createFunction({
		Code: {
			// `ZipFile` works, or an already unzipped directory may be specified
			Directory: __dirname + '/example'
		},
		Handler: 'index.handler',
		Runtime: 'nodejs8.10',
		Environment: {
			Variables: {
				HELLO: 'world'
			}
		},
		MemorySize: 512
	});

	// Invoke the function with a custom payload. A new instance of the function
	// will be initialized if there is not an available one ready to process.
	const res = await fn({ hello: 'world' });

	console.log(res);
	// Prints: { hello: 'world' }

	// Once we are done with the function, destroy it so that the processes are
	// cleaned up, and the API server is shut down (useful for hot-reloading).
	await fn.destroy();
}

main().catch(console.error);

Caveats

ƒun provides an execution environment that closely resembles the real Lambda environment, with some key differences that are documented here:

  • Lambdas processes are ran as your own user, not the sbx_user1051 user.
  • Processes are not sandboxed nor chrooted, so do not rely on hard-coded locations like /var/task, /var/runtime, /opt, etc. Instead, your function code should use the environment variables that represent these locations (namely LAMBDA_TASK_ROOT and LAMBDA_RUNTIME_DIR).
  • Processes are frozen by sending the SIGSTOP signal to the lambda process, and unfrozen by sending the SIGCONT signal, not using the cgroup freezer.
  • Lambdas that compile to native executables (i.e. Go) will need to be compiled for your operating system. So if you are on macOS, then the binary needs to be executable on macOS.

Runtimes

ƒun aims to support all runtimes that AWS Lambda provides. Currently implemented are:

  • nodejs for Node.js Lambda functions using the system node binary
  • nodejs6.10 for Node.js Lambda functions using a downloaded Node v6.10.0 binary
  • nodejs8.10 for Node.js Lambda functions using a downloaded Node v8.10.0 binary
  • nodejs10.x for Node.js Lambda functions using a downloaded Node v10.15.3 binary
  • nodejs12.x for Node.js Lambda functions using a downloaded Node v12.22.7 binary
  • nodejs14.x for Node.js Lambda functions using a downloaded Node v14.18.1 binary
  • python for Python Lambda functions using the system python binary
  • python2.7 for Python Lambda functions using a downloaded Python v2.7.12 binary
  • python3 for Python Lambda functions using the system python3 binary
  • python3.6 for Python Lambda functions using a downloaded Python v3.6.8 binary
  • python3.7 for Python Lambda functions using a downloaded Python v3.7.2 binary
  • go1.x for Lambda functions written in Go - binary must be compiled for your platform
  • provided for custom runtimes

Dependents (4)

Package Sidebar

Install

npm i @vercel/fun

Weekly Downloads

544,256

Version

1.1.1

License

Apache-2.0

Unpacked Size

159 kB

Total Files

125

Last publish

Collaborators

  • matt.straka
  • ijjk
  • quietshu
  • vercel-release-bot
  • nick.tracey
  • matheuss
  • chriswdmr
  • snokohn
  • zeit-bot