faas-cli: A Go repository from luciany

faas-cli

This is a CLI for use with OpenFaaS - a serverless functions framework for Docker & Kubernetes.

Before using this tool please setup OpenFaaS by following instructions over on the main repo.

The CLI can be used to build and deploy functions to OpenFaaS. You can build OpenFaaS functions from a set of supported language templates (such as Node.js, Python, CSharp and Ruby). That means you just write a handler file such as (handler.py/handler.js) and the CLI does the rest to create a Docker image.

Demo: ASCII cinema

TL;DR - Introductory tutorial

Blog: Coffee with the FaaS-CLI

Get started: Install the CLI

You can install the CLI with a curl utility script, brew or by downloading the binary from the releases page. Once installed you'll get the faas-cli command and faas alias.

Utility script with curl:

$ curl -sSL https://cli.openfaas.com | sudo sh

Non-root with curl (requires further actions as advised after downloading):

$ curl -sSL https://cli.openfaas.com | sh

Via brew:

$ brew install faas-cli

Note: The brew release may not run the latest minor release but is updated regularly.

In PowerShell:

$version = (Invoke-WebRequest "https://api.github.com/repos/openfaas/faas-cli/releases/latest" | ConvertFrom-Json)[0].tag_name
(New-Object System.Net.WebClient).DownloadFile("https://github.com/openfaas/faas-cli/releases/download/$version/faas-cli.exe", "faas-cli.exe")

Windows

The easiest way to install the faas-cli is through scoop:

scoop install faas-cli

Note: The scoop release may not run the latest minor release but is updated regularly.

Build from source

the contributing guide has instructions for building from source and for configuring a Golang development environment.

Run the CLI

The main commands supported by the CLI are:

faas-cli new - creates a new function via a template in the current directory
faas-cli build - builds Docker images from the supported language types
faas-cli push - pushes Docker images into a registry
faas-cli deploy - deploys the functions into a local or remote OpenFaaS gateway
faas-cli remove - removes the functions from a local or remote OpenFaaS gateway
faas-cli invoke - invokes the functions and reads from STDIN for the body of the request
faas-cli login - stores basic auth credentials for OpenFaaS gateway (supports multiple gateways)
faas-cli logout - removes basic auth credentials for a given gateway
faas-cli store - allows browsing and deploying OpenFaaS store functions

Advanced commands:

faas-cli template pull - pull in templates from a remote GitHub repository Detailed Documentation

Help for all of the commands supported by the CLI can be found by running:

faas-cli help or faas-cli [command] --help

You can chose between using a programming language template where you only need to provide a handler file, or a Docker that you can build yourself.

Templates

Command: faas-cli new FUNCTION_NAME --lang python/node/go/ruby/Dockerfile/etc

In your YAML you can also specify lang: node/python/go/csharp/ruby

Supports common languages
Quick and easy - just write one file
Specify depenencies on Gemfile / requirements.txt or package.json etc
Customise the provided templates

Perhaps you need to have gcc or another dependency in your Python template? That's not a problem.

You can customise the Dockerfile or code for any of the templates. Just create a new directory and copy in the templates folder from this repository. The templates in your current working directory are always used for builds.

Language	Author	URL
PHP	@itscaro	https://github.com/itscaro/openfaas-template-php/
PHP5	@itscaro	https://github.com/itscaro/openfaas-template-php/

Docker image as a function

Specify lang: Dockerfile if you want the faas-cli to execute a build or skip_build: true for pre-built images.

Ultimate versatility and control
Package anything
If you are using a stack file add the skip_build: true attribute
Use one of the samples as a basis

Use a YAML stack file

A YAML stack file groups functions together and also saves on typing.

You can define individual functions or a set of of them within a YAML file. This makes the CLI easier to use and means you can use this file to deploy to your OpenFaaS instance. By default the faas-cli will attempt to load stack.yaml from the current directory.

Here is an example file using the stack.yml file included in the repository.

provider:
  name: faas
  gateway: http://localhost:8080

functions:
  url-ping:
    lang: python
    handler: ./sample/url-ping
    image: alexellis2/faas-urlping

This url-ping function is defined in the sample/url-ping folder makes use of Python. All we had to do was to write a handler.py file and then to list off any Python modules in requirements.txt.

Build the files in the .yml file:

$ faas-cli build -f ./stack.yml

-f specifies the file or URL to download your YAML file from. The long version of the -f flag is: --yaml.

You can also download over HTTP/s:

$ faas-cli build -f https://raw.githubusercontent.com/openfaas/faas-cli/master/stack.yml

Docker along with a Python template will be used to build an image named alexellis2/faas-urlping.

Deploy your function

Now you can use the following command to deploy your function(s):

$ faas-cli deploy -f ./stack.yml

Managing secrets

You can deploy secrets and configuration via environmental variables in-line or via external files.

Note: external files take priority over in-line environmental variables. This allows you to specify a default and then have overrides within an external file.

Priority:

environment_file - defined in zero to many external files

  environment_file:
    - file1.yml
    - file2.yml

If you specify a variable such as "access_key" in more than one environment_file file then the last file in the list will take priority.

Environment file format:

environment:
  access_key: key1
  secret_key: key2

Define environment in-line within the file:

Imagine you needed to define a http_proxy variable to operate within a corporate network:

functions:
  url-ping:
    lang: python
    handler: ./sample/url-ping
    image: alexellis2/faas-urlping
    environment:
      http_proxy: http://proxy1.corp.com:3128
      no_proxy: http://gateway/

Constraints

Constraints work with Docker Swarm and are useful for pinning functions to certain hosts.

Here is an example of picking only Linux:

   constraints:
     - "node.platform.os == linux"

Or only Windows:

   constraints:
     - "node.platform.os == windows"

Labels

Labels can be applied through a map which may be consumed by the back-end scheduler such as Docker Swarm or Kubernetes.

For example:

   labels:
     kafka.topic: topic1
     canary: true

YAML reference

The possible entries for functions are documented below:

functions:
  deployed_function_name:
    lang: node or python (optional)
    handler: ./path/to/handler (optional)
    image: docker-image-name
    environment:
      env1: value1
      env2: "value2"
    labels:
      label1: value1
      label2: "value2"
   constraints:
     - "com.hdd == ssd"

Use environmental variables for setting tokens and configuration.

Access functions with `curl`

You can initiate a HTTP POST via curl:

with the -d flag i.e. -d "my data here"
or with --data-binary @filename.txt to send a whole file including newlines
if you want to pass input from STDIN then use --data-binary @-

$ curl -d '{"hello": "world"}' http://localhost:8080/function/nodejs-echo
{ nodeVersion: 'v6.9.1', input: '{"hello": "world"}' }

$ curl --data-binary @README.md http://localhost:8080/function/nodejs-echo

$ uname -a | curl http://localhost:8080/function/nodejs-echo--data-binary @-

For further instructions on the manual CLI flags (without using a YAML file) read manual_cli.md

FaaS-CLI Developers / Contributors

See contributing guide.

License

This project is part of the OpenFaaS project licensed under the MIT License.

luciany/faas-cli