You can use the REST API to deploy your projects hosted on GitHub on a server that you own. For more information about the endpoints to manage deployments and statuses, see "REST API endpoints for deployments." You can also use the REST API to coordinate your deployments the moment your code lands on the default branch. For more information, see "Building a CI server."
This guide will use the REST API to demonstrate a setup that you can use. In our scenario, we will:
- Merge a pull request.
- When the CI is finished, we'll set the pull request's status accordingly.
- When the pull request is merged, we'll run our deployment to our server.
Our CI system and host server will be figments of our imagination. They could be Heroku, Amazon, or something else entirely. The crux of this guide will be setting up and configuring the server managing the communication.
If you haven't already, be sure to download ngrok
, and learn how
to use it. We find it to be a very useful tool for exposing local
applications to the internet.
Note
Alternatively, you can use webhook forwarding to set up your local environment to receive webhooks. For more information, see "Using the GitHub CLI to forward webhooks for testing."
Note: you can download the complete source code for this project from the platform-samples repo.
Writing your server
We'll write a quick Sinatra app to prove that our local connections are working. Let's start with this:
require 'sinatra'
require 'json'
post '/event_handler' do
payload = JSON.parse(params[:payload])
"Well, it worked!"
end
(If you're unfamiliar with how Sinatra works, we recommend reading the Sinatra guide.)
Start this server up. By default, Sinatra starts on port 4567
, so you'll want
to configure ngrok
to start listening for that, too.
In order for this server to work, we'll need to set a repository up with a webhook. The webhook should be configured to fire whenever a pull request is created, or merged.
Go ahead and create a repository you're comfortable playing around in. Might we suggest @octocat's Spoon/Knife repository?
After that, you'll create a new webhook in your repository, feeding it the URL that ngrok
gave you, and choosing application/x-www-form-urlencoded
as the content type.
Click Update webhook. You should see a body response of Well, it worked!
.
Great! Click on Let me select individual events., and select the following:
- Deployment
- Deployment status
- Pull Request
These are the events GitHub will send to our server whenever the relevant action occurs. We'll configure our server to just handle when pull requests are merged right now:
post '/event_handler' do
@payload = JSON.parse(params[:payload])
case request.env['HTTP_X_GITHUB_EVENT']
when "pull_request"
if @payload["action"] == "closed" && @payload["pull_request"]["merged"]
puts "A pull request was merged! A deployment should start now..."
end
end
end
What's going on? Every event that GitHub sends out attached a X-GitHub-Event
HTTP header. We'll only care about the PR events for now. When a pull request is
merged (its state is closed
, and merged
is true
), we'll kick off a deployment.
To test out this proof-of-concept, make some changes in a branch in your test repository, open a pull request, and merge it. Your server should respond accordingly!
Working with deployments
With our server in place, the code being reviewed, and our pull request merged, we want our project to be deployed.
We'll start by modifying our event listener to process pull requests when they're merged, and start paying attention to deployments:
when "pull_request"
if @payload["action"] == "closed" && @payload["pull_request"]["merged"]
start_deployment(@payload["pull_request"])
end
when "deployment"
process_deployment(@payload)
when "deployment_status"
update_deployment_status
end
Based on the information from the pull request, we'll start by filling out the
start_deployment
method:
def start_deployment(pull_request)
user = pull_request['user']['login']
payload = JSON.generate(:environment => 'production', :deploy_user => user)
@client.create_deployment(pull_request['head']['repo']['full_name'], pull_request['head']['sha'], {:payload => payload, :description => "Deploying my sweet branch"})
end
Deployments can have some metadata attached to them, in the form of a payload
and a description
. Although these values are optional, it's helpful to use
for logging and representing information.
When a new deployment is created, a completely separate event is triggered. That's
why we have a new switch
case in the event handler for deployment
. You can
use this information to be notified when a deployment has been triggered.
Deployments can take a rather long time, so we'll want to listen for various events, such as when the deployment was created, and what state it's in.
Let's simulate a deployment that does some work, and notice the effect it has on
the output. First, let's complete our process_deployment
method:
def process_deployment
payload = JSON.parse(@payload['payload'])
# you can send this information to your chat room, monitor, pager, etc.
puts "Processing '#{@payload['description']}' for #{payload['deploy_user']} to #{payload['environment']}"
sleep 2 # simulate work
@client.create_deployment_status("repos/#{@payload['repository']['full_name']}/deployments/#{@payload['id']}", 'pending')
sleep 2 # simulate work
@client.create_deployment_status("repos/#{@payload['repository']['full_name']}/deployments/#{@payload['id']}", 'success')
end
Finally, we'll simulate storing the status information as console output:
def update_deployment_status
puts "Deployment status for #{@payload['id']} is #{@payload['state']}"
end
Let's break down what's going on. A new deployment is created by start_deployment
,
which triggers the deployment
event. From there, we call process_deployment
to simulate work that's going on. During that processing, we also make a call to
create_deployment_status
, which lets a receiver know what's going on, as we
switch the status to pending
.
After the deployment is finished, we set the status to success
.
Conclusion
At GitHub, we've used a version of Heaven to manage our deployments for years. A common flow is essentially the same as the server we've built above:
- Wait for a response on the state of the CI checks (success or failure)
- If the required checks succeed, merge the pull request
- Heaven takes the merged code, and deploys it to staging and production servers
- In the meantime, Heaven also notifies everyone about the build, via Hubot sitting in our chat rooms
That's it! You don't need to build your own deployment setup to use this example. You can always rely on GitHub integrations.