@google-cloud/functions-framework
Advanced tools
FaaS (Function as a service) framework for writing portable Node.js functions
@google-cloud/functions-framework is a Node.js framework for writing, deploying, and running Google Cloud Functions locally. It allows developers to create HTTP functions and background functions that can be triggered by various Google Cloud services.
HTTP Function
This feature allows you to create an HTTP function that can be triggered by HTTP requests. The example code defines a simple HTTP function that responds with 'Hello, World!'.
const functions = require('@google-cloud/functions-framework');
functions.http('helloHttp', (req, res) => {
res.send('Hello, World!');
});Background Function
This feature allows you to create a background function that can be triggered by events from Google Cloud services. The example code defines a background function that logs the received event.
const functions = require('@google-cloud/functions-framework');
functions.cloudEvent('helloBackground', (cloudEvent) => {
console.log('Received event:', cloudEvent);
});Local Development
This feature allows you to run your Google Cloud Functions locally for development and testing. The example code shows how to set up a script in your package.json to start the functions framework targeting the 'helloHttp' function.
{
"scripts": {
"start": "functions-framework --target=helloHttp"
}
}Express is a minimal and flexible Node.js web application framework that provides a robust set of features for web and mobile applications. Unlike @google-cloud/functions-framework, Express is not specifically designed for Google Cloud Functions but can be used to create HTTP servers and APIs.
The Serverless Framework is a toolkit for deploying and operating serverless architectures. It supports multiple cloud providers, including AWS, Azure, and Google Cloud. While @google-cloud/functions-framework is focused on Google Cloud Functions, Serverless Framework provides a more general solution for serverless deployments across different platforms.
Firebase Functions is a framework for deploying serverless functions on Firebase. It is tightly integrated with Firebase services and provides similar functionality to @google-cloud/functions-framework but is more focused on Firebase-specific use cases.
An open source FaaS (Function as a service) framework for writing portable Node.js functions -- brought to you by the Google Cloud Functions team.
The Functions Framework lets you write lightweight functions that run in many different environments, including:
The framework allows you to go from:
exports.helloWorld = (req, res) => {
res.send('Hello, World');
};
To:
curl http://my-url
# Output: Hello, World
All without needing to worry about writing an HTTP server or complicated request handling logic.
Watch this video to learn more about the Node Functions Framework.
Add the Functions Framework to your package.json file using npm.
npm install @google-cloud/functions-framework
Create an index.js file with the following contents:
exports.helloWorld = (req, res) => {
res.send('Hello, World');
};
Run the following command:
npx @google-cloud/functions-framework --target=helloWorld
Open http://localhost:8080/ in your browser and see Hello, World.
Create an index.js file with the following contents:
exports.helloWorld = (req, res) => {
res.send('Hello, World');
};
To run a function locally, first create a package.json file using npm init:
npm init
Now install the Functions Framework:
npm install @google-cloud/functions-framework
Add a start script to package.json, with configuration passed via
command-line arguments:
"scripts": {
"start": "functions-framework --target=helloWorld"
}
Use npm start to start the built-in local development server:
npm start
...
Serving function...
Function: helloWorld
URL: http://localhost:8080/
Send requests to this function using curl from another terminal window:
curl localhost:8080
# Output: Hello, World
The
Node.js 10 runtime on Google Cloud Functions
is based on the Functions Framework. On Cloud Functions, the Functions Framework
is completely optional: if you don't add it to your package.json, it will be
installed automatically.
After you've written your function, you can simply deploy it from your local
machine using the gcloud command-line tool.
Check out the Cloud Functions quickstart.
Once you've written your function, added the Functions Framework and updated your start script in package.json, all that's left is to create a container image. Check out the Cloud Run quickstart for Node.js to create a container image and deploy it to Cloud Run. You'll write a Dockerfile when you build your container. This Dockerfile allows you to specify exactly what goes into your container (including custom binaries, a specific operating system, and more).
If you want even more control over the environment, you can deploy your container image to Cloud Run on GKE. With Cloud Run on GKE, you can run your function on a GKE cluster, which gives you additional control over the environment (including use of GPU-based instances, longer timeouts and more).
Cloud Run and Cloud Run on GKE both implement the Knative Serving API. The Functions Framework is designed to be compatible with Knative environments. Just build and deploy your container to a Knative environment.
You can configure the Functions Framework using command-line flags or environment variables. If you specify both, the environment variable will be ignored.
| Command-line flag | Environment variable | Description |
|---|---|---|
--port | PORT | The port on which the Functions Framework listens for requests. Default: 8080 |
--target | FUNCTION_TARGET | The name of the exported function to be invoked in response to requests. Default: function |
--signature-type | FUNCTION_SIGNATURE_TYPE | The signature used when writing your function. Controls unmarshalling rules and determines which arguments are used to invoke your function. Default: http; accepted values: http or event or cloudevent |
--source | FUNCTION_SOURCE | The path to the directory of your function. Default: cwd (the current working directory) |
You can set command-line flags in your package.json via the start script.
For example:
"scripts": {
"start": "functions-framework --target=helloWorld"
}
The Functions Framework can unmarshall incoming
Google Cloud Functions event payloads to data and context objects.
These will be passed as arguments to your function when it receives a request.
Note that your function must use the event-style function signature:
exports.helloEvents = (data, context) => {
console.log(data);
console.log(context);
};
To enable automatic unmarshalling, set the function signature type to event
using a command-line flag or an environment variable. By default, the HTTP
signature will be used and automatic event unmarshalling will be disabled.
For more details on this signature type, check out the Google Cloud Functions documentation on background functions.
The Functions Framework can unmarshall incoming
CloudEvents payloads to a cloudevent object.
It will be passed as an argument to your function when it receives a request.
Note that your function must use the cloudevent-style function signature:
exports.helloCloudEvents = (cloudevent) => {
console.log(cloudevent.specversion);
console.log(cloudevent.type);
console.log(cloudevent.source);
console.log(cloudevent.subject);
console.log(cloudevent.id);
console.log(cloudevent.time);
console.log(cloudevent.datacontenttype);
};
To enable CloudEvents, set the signature type to cloudevent. By default, the HTTP signature will be used and automatic event unmarshalling will be disabled.
Learn how to use CloudEvents in this guide.
More advanced guides and docs can be found in the docs/ folder.
Contributions to this library are welcome and encouraged. See CONTRIBUTING for more information on how to get started.
FAQs
FaaS (Function as a service) framework for writing portable Node.js functions
The npm package @google-cloud/functions-framework receives a total of 271,367 weekly downloads. As such, @google-cloud/functions-framework popularity was classified as popular.
We found that @google-cloud/functions-framework demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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