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Continuous Integration (CI) tools are vital for automating the testing and deployment of modern software. One such open-source tool is Woodpecker CI, a lightweight CI/CD system. Woodpecker CI is an open-source continuous integration and delivery platform that helps developers automate building, testing, and deploying their code. It is a community-driven fork and successor of the popular Drone CI project, sharing many design principles and compatibility with Drone pipelines. Traditionally, Woodpecker pipelines are written in YAML. But with the rise of programmable pipelines, we now have the flexibility to define our CI configuration using Starlark — a Python-like configuration language.
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Continuous Integration tools are essential to build and test modern software automatically and regularly. Woodpecker CI is one such open-source tool, a lightweight CI/CD system. Woodpecker CI is an open-source continuous integration and delivery system that help developers in automating deployment, builds, and testing of code. It's an open-source fork and alternative to the popular Drone CI project with numerous design similarities and Drone pipeline compatibility. Traditionally, Woodpecker pipelines are YAML, but now that programmable pipelines are in vogue, we can finally have the liberty of defining our CI configuration through Starlark — a Python-ish config language.
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In this blog, I’ll walk you through setting up Woodpecker CI with Traefik as a reverse proxy and integrating it with WCCS (Woodpecker CI Config Service) to convert Starlark configurations into YAML files, enabling us to write pipelines in .woodpecker.star files. Here's a high-level view of what we'll cover:
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In this article, I will walk you through setting up Woodpecker CI with Traefik as a reverse proxy and [WCCS](https://github.com/opencloud-eu/woodpecker-ci-config-service/) (Woodpecker CI Config Service) to convert Starlark configurations into YAML files so that we can write pipelines in `.star` files. Here is a high-level overview of what we are going through:
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- Spinning up a Woodpecker server with Traefik
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By the end, you’ll be able to write CI pipelines in Starlark and dynamically convert them to YAML during runtime.
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## Prepare Woodpecker secrets via .env
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Create a `.env` file to store your environment variables.
Before running any pipeline, woodpecker server needs send POST request to an external config service which, in our case, is WCCS with all current config file and build information of the current repository. The external service will then send back new pipeline configurations. For example, starlark is being converted into yaml configurations.
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Every request sent by Woodpecker is signed using a http-signature by a private key (ed25519) generated on the first start of the Woodpecker server. You can get the public key for the verification of the http-signature from:
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```console
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http(s)://your-ci-server/api/signature/public-key
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https://<your-ci-server>/api/signature/public-key
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```
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Store that public key into `keys/public.pem` in the same directory level as your docker compose, it will be needed for signature verification.
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## Setting Up WCCS-Woodpecker CI Config Service (Starlark Conversion Service)
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The Woodpecker Config Conversion Service (WCCS) is a lightweight web service created and maintained by [Opencloud-eu](https://opencloud.eu/en). It enables Woodpecker CI to convert pipeline definitions written in Starlark into standard YAML on the fly by receiving a signed POST request from Woodpecker.
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You can easily deploy WCCS using their official Docker image available on Docker Hub: [opencloudeu/wccs](https://hub.docker.com/r/opencloudeu/wccs).
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Update your `docker-compose.yml` to include the WCCS service:
Woodpecker now sends a signed JSON payload to WCCS whenever a build is triggered. WCCS verifies the signature using the public key and responds with a YAML pipeline based on your .woodpecker.star file.
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After conneting WCCS with woodpecker server, there's one more thing that you need to do i.e. to set pipeline config path.
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- From the settings of your Woodpecker server, go to `Repositories` and click on the enabled repo's settings icon as shown below:
Here's a simple `.woodpecker.star` example that you can add in your project's root and you're all set:
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```console
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## Triggering Your First CI Run
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Now that you have your `.woodpecker.star` file ready, commit and push it to your GitHub repository and then, open a Pull Request from your branch <your-branch-name> to master.
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Once the PR is created, Woodpecker will automatically send the build request to WCCS, fetch the pipeline config, and start your first CI run. You can head over to the Woodpecker UI to watch the build logs in real time.
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Once the PR is created, Woodpecker will automatically send a build request to WCCS, fetch the pipeline configuration, and start your first CI run. You can then head over to the Woodpecker UI to watch the build logs in real time.
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