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
Blog: Coffee with the FaaS-CLI
The easiest way to install the faas-cli is through a curl script or brew
:
$ curl -sSL https://cli.openfaas.com | sudo sh
or
$ brew install faas-cli
The contributing guide has instructions for building from source
The main commands supported by the CLI are:
faas-cli new
- creates a new function via a template in the current directoryfaas-cli build
- builds Docker images from the supported language typesfaas-cli push
- pushes Docker images into a registryfaas-cli deploy
- deploys the functions into a local or remote OpenFaaS gatewayfaas-cli remove
- removes the functions from a local or remote OpenFaaS gatewayfaas-cli invoke
- invokes the functions and reads from STDIN for the body of the request
Help for all of the commands supported by the CLI can be found by running:
faas-cli help
orfaas-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/ruby/Dockerfile/etc
In your YAML you can also specify lang: node/python/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.
See also: faas-cli new --help
Docker image
Specify lang: Dockerfile
if you want the faas-cli to execute a build or skip_build: true
for pre-supplied 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
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.
Here is an example file using the samples.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 ./samples.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/samples.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 ./samples.yml
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 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"
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"
constraints:
- "com.hdd == ssd"
Use environmental variables for setting tokens and configuration.
Accessing the function 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
See contributing guide.
This project is part of the OpenFaaS project licensed under the MIT License.