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How to Contribute

Sloth is Apache 2.0 licensed and accepts contributions via GitHub pull requests. This document outlines some of the conventions on development workflow, commit message formatting, contact points and other resources to make it easier to get your contribution accepted.

We gratefully welcome improvements to issues and documentation as well as to code.

Getting Started

  • Fork the repository on GitHub
  • Read the README for getting started.
  • If you want to contribute as a developer, continue reading this document for further instructions
  • Play with the project, submit bugs, submit pull requests!

Contribution workflow

This is a rough outline of how to prepare a contribution:

  • Fork the repository.
  • Create a topic branch from where you want to base your work (usually branched from master).
  • Make commits of logical units.
  • Make sure your commit messages are clear and self-explanatory.
  • Push your changes to a topic branch in your fork of the repository.
  • If you changed code, add automated tests to cover your changes.
  • Submit a pull request from your fork to the original repository.

Running the application

CLI

To run the CLI you can use the example specs. Some examples:

go run ./cmd/sloth generate  -i ./examples/getting-started.yml

go run ./cmd/sloth/ validate -i ./examples/ -p ./examples/plugins/ -e _gen

Kubernetes

To run Sloth in a controller mode you can run it in multiple ways, depending on the part that you are working on it may be helpful one or the other.

Apart the options that we will describe next, Kuberentes controller mode has multiple options that can be used to develop, deploy in different ways or apply maintenance, like selecting one single namespace, use a label selector... Check them with sloth controller --help

Without a cluster

If you are not developing something that needs a real Kubernetes connection, Sloth can run without a Kubernetes cluster with fake memory K8s memory based clients, use --mode="fake"

Example:

go run ./cmd/sloth/ controller --mode=fake --debug

With a local cluster

If you need a Kubernetes connection or develop using more realistic setup, you can connect to any Kubernetes cluster using local credentials using --kube-local flag.

go run ./cmd/sloth/ controller --kube-local

Dry run

If you need to set Sloth in dry-run mode (read-only operations), you case use --mode=dry-run.

go run ./cmd/sloth/ controller --mode=dry-run

You can use this mode with --kube-local.

go run ./cmd/sloth/ controller --kube-local --mode=dry-run

Automated checks and unit tests

You can check your code satisfies project standards by using:

make check

You can run the unit tests by doing:

make test

Integration tests

When running the tests if you don't have any of the required dependencies, the tests will be skipped

CLI

First you will need to build the binary (you can use make build).

Search your binary, for example ./bin/sloth-linux-amd64 and set as the binary to execute the integration tests:

export SLOTH_INTEGRATION_BINARY=${PWD}/bin/sloth-linux-amd64

Now you can run the tests:

make ci-integration-cli

Kubernetes

For Kubernetes you will need a cluster, the easiest way is to create a cluster using Kind, lets see an example by creating a cluster and exporting the access configuration.

kind create cluster --name sloth
kind get kubeconfig --name sloth > /tmp/kind-sloth.kubeconfig

Prepare the required CRDs on the cluster:

kubectl --kubeconfig=/tmp/kind-sloth.kubeconfig apply -f ./pkg/kubernetes/gen/crd/
kubectl --kubeconfig=/tmp/kind-sloth.kubeconfig apply -f ./test/integration/crd

Now we are ready, we need to prepare the integration tests settings that point to the binary of sloth we want to use (build with make build) and the Kubernetes cluster access config.

export SLOTH_INTEGRATION_BINARY=${PWD}/bin/sloth-linux-amd64
export SLOTH_INTEGRATION_KUBE_CONFIG=/tmp/kind-sloth.kubeconfig

Execute the tests:

make ci-integration-k8s

Profiling

By default Sloth will set [pprof] on metrics ports (8081).

Check this pprof cheatsheet.