constellation/dev-docs/workflows/build-test-run.md

Build

The following are instructions for building all components in the constellation repository, except for images. A manual on how to build images locally can be found in the image README.

Prerequisites:

• 20GB (minimum), better 40 GB disk space (required if you want to cross compile for all platforms)

• Latest version of Go.

• Bazelisk installed as bazel in your path.

• Docker. Can be installed with these commands on Ubuntu 22.04: sudo apt update && sudo apt install docker.io. As the build spawns docker containers your user account either needs to be in the docker group (Add with sudo usermod -a -G docker $USER) or you have to run builds with sudo. When using sudo remember that your root user might (depending on your distro and local config) not have the go binary in it's PATH. The current PATH can be forwarded to the root env with sudo env PATH=$PATH <cmd>.

• Packages on Ubuntu:

  sudo apt install build-essential cmake libssl-dev pkg-config libcryptsetup12 libcryptsetup-dev
  

• Packages on Fedora:

  sudo dnf install @development-tools pkg-config cmake openssl-devel cryptsetup-libs cryptsetup-devel
  

Developer workspace:

mkdir build
cd build
# build required binaries for a dev build
# and symlink them into the current directory
# also push the built container images
# After the first run, set the pushed imaged to public.
bazel run //:devbuild --container_prefix=ghcr.io/USERNAME/constellation
./constellation ...
# modify code
# rerun to ensure that all binaries are up to date
bazel run //:devbuild
./constellation ...

Overwrite the default container_prefix in the .bazeloverwriterc in the root of the workspace:

# cat .bazeloverwriterc
build --container_prefix=ghcr.io/USERNAME/constellation

Bazel build:

bazel query //...
bazel build //path/to:target
bazel build //... # build everything (for every supported platform)
bazel build //bootstrapper/cmd/bootstrapper:bootstrapper # build bootstrapper
bazel build //cli:cli_oss # build CLI
bazel build //cli:cli_oss_linux_amd64 # cross compile CLI for linux amd64
bazel build //cli:cli_oss_linux_arm64 # cross compile CLI for linux arm64
bazel build //cli:cli_oss_darwin_amd64 # cross compile CLI for mac amd64
bazel build //cli:cli_oss_darwin_arm64 # cross compile CLI for mac arm64

Remote caching and execution

We use BuildBuddy for remote caching (and maybe remote execution in the future). To use it, you need to join the BuildBuddy organization and get an API key. Then, you can write it to ~/.bazelrc:

build --remote_header=x-buildbuddy-api-key=<redacted>

To use the remote cache, build the project with bazel build --config remote_cache //path/to:target. You can also copy the remote_cache config from .bazelrc to your ~/.bazelrc and remove the remote_cache prefix to make it the default.

Test

You can run all integration and unitttests like this:

ctest -j `nproc`

You can limit the execution of tests to specific targets with e.g. ctest -R unit-* to only execute unit tests.

Some of the tests rely on libvirt and won't work if you don't have a virtualization capable CPU. You can find instructions on setting up libvirt in our QEMU README.

Running unit tests with Bazel:

bazel test //...

Deploy

⚠️ Debug images are not safe to use in production environments. ⚠️ The debug images will open an additional unsecured port (4000) which accepts any binary to be run on the target machine. Make sure that those machines are not exposed to the internet.

Cloud

To familiarize yourself with debugd and learn how to deploy a cluster using it, read this manual. If you want to deploy a cluster for production, please refer to our user documentation here.

Locally

In case you want to have quicker iteration cycles during development you might want to setup a local cluster. You can do this by utilizing our QEMU setup. Instructions on how to set it up can be found in the QEMU README.

Verification

In order to verify your cluster we describe a verification workflow in our official docs. Apart from that you can also reproduce some of the measurements described in the docs locally. Use the provided scripts in /image/measured-boot to generated measurements for a built image. Measurements for release images are also available in our image API.

Dependency management

Go

Go dependencies are managed with Go modules that are all linked from the main go.work file. Follow the go documentation on how to use Go modules.

Bazel

Bazel is the primary build system for this project. It is used to build all Go code and will be used to build all artifacts in the future. Still, we aim to keep the codebase compatible with go build and go test as well. Whenever Go code is changed, you will have to run bazel run //:tidy to regenerate the Bazel build files for Go code.

Bazel commands

• bazel query //... - list all targets
• bazel query //subfolder - list all targets in a subfolder
• bazel build //... - build all targets
• bazel build //subfolder/... - build all targets in a subfolder (recursive)
• bazel build //subfolder:all - build all targets in a subfolder (non-recursive)
• bazel build //subfolder:target - build single target
• bazel run --run_under="cd $PWD &&" //cli:cli_oss -- create -c 1 -w 1 - build + run a target with arguments in current working directory
• bazel cquery --output=files //subfolder:target - get location of a build artifact
• bazel test //... - run all tests
• bazel run //:tidy - tidy, format and generate
• bazel run //:check - execute checks and linters
• bazel run //:generate - execute code generation

Editor integration

You can continue to use the default Go language server and editor integration. This will show you different paths for external dependencies and not use the Bazel cache. Alternatively, you can use the go language server integration for Bazel. This will use Bazel for dependency resolution and execute Bazel commands for building and testing.

Image export

To download an image you will have to export it first. Below you find general instructions on how to do this for GCP and Azure.

GCP

In order to download an image you will have to export it to a bucket you have access to:

• "Owner" permissions on the project

• "Storage Admin" permissions on the bucket

• Export with:

  gcloud compute images export --image=<image_path> --destination-uri=<bucket_uri> --export-format=qcow2 --project=<image_project>
  

• Click on "Download" on the created object

Azure

To download an image from Azure you will have to create a disk from the image and generate a download link for that disk:

#!/usr/bin/env bash

VERSION=0.0.1
TARGET_DISK=export-${VERSION}

az disk create -g <resource_group> -l <target_region> -n $TARGET_DISK --hyper-v-generation V2 --os-type Linux --sku standard_lrs --security-type TrustedLaunch --gallery-image-reference <image_path>

az disk grant-access -n $TARGET_DISK -g constellation-images --access-level Read --duration-in-seconds 3600 | jq -r .accessSas

Depending on you internet connection you might have to modify the duration value. The duration value specifies for how long the link is usable.