Installing Docker (with Buildkit)¶

You do not need to download or use Docker Desktop with Ferrocene. If you choose to use Docker Desktop, install it as directed on the Website and skip the rest of this section.

On Linux, install Docker and docker-buildx from your package manager. On Ubuntu 20.04 and up:

apt install docker.io docker-buildx

On some distributions, you may need to start the service with systemctl enable --now docker. If you just installed docker-buildx, restart the Docker service.

On MacOS, you can use the Docker CLI connected to a Lima host:

brew install lima docker docker-buildx
limactl start template://docker

After setting up the instance, Lima will inform you of how to configure Docker to use it instead with Docker.

On Windows, it’s generally recommended to do CI imitation within WSL2. Enable WSL2 from an administrator Powershell if you haven’t done so already, then setup ubuntu-24.04.

wsl --install
wsl --install -d Ubuntu-24.04

From there, follow the Linux instructions above.

Using the Python virtual environment¶

Ferrocene uses uv to manage Python and dependencies. There are a number of ways to install listed in the repository, but we recommend the curl (Linux, MacOS) or powershell (Windows) methods:

curl -LsSf https://astral.sh/uv/install.sh | sh

powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

Follow the onscreen instructions post-install to ensure uv is present on your $PATH.

Set up the virtual environment:

uv python install 3.12
uv venv
uv pip sync requirements.txt

You can then source the virtual enviroment each time you wish to use it:

source .venv/bin/activate

If you infrequently use Python scripts, or want to use them in a oneshot command:

uv run $COMMAND

For example, to run our licensing checks you can run:

uv run reuse --include-submodules lint

Using the CI config.toml¶

To create the config.toml used by the CI, set FERROCENE_HOST to your host triple, then run the configure.sh:

CI=true FERROCENE_HOST=aarch64-unknown-linux-gnu ./ferrocene/ci/configure.sh

Using the CI Docker images¶

Docker images used in CI can be found in ferrocene/ci/docker-images. Each image documents how to build it at the top of the Dockerfile.

To build the most common image, ubuntu-20:

cd $FERROCENE_REPO
docker build -t ubuntu-20 -f ferrocene/ci/docker-images/ubuntu-20/Dockerfile .

Reproducing CI jobs¶

Most CI jobs are formatted similar to this:

x86_64-linux-dist-targets:
  executor: docker-ubuntu-20
  resource_class: large # 4-core
  environment:
    FERROCENE_HOST: x86_64-unknown-linux-gnu
    FERROCENE_TARGETS: << pipeline.parameters.targets--x86_64-unknown-linux-gnu--std-only >>
    SCRIPT: |
      ./x.py --stage 2 dist rust-std
  steps:
    - ferrocene-job-dist:
        restore-from-job: x86_64-linux-build

Jobs can only be reproduced on the host triple specified in FERROCENE_HOST. Ensure your host is correct.

If FERROCENE_TARGETS is different than your host triple, update your config.toml’s [build] section’s host and target to reflect that.

For Mac or Windows jobs, you can coarsely reproduce the CI by running the lines in SCRIPT, line by line if desired.

For Linux jobs, enter the Docker container specified by the executor line:

docker run --rm --tty --interactive --workdir /ferrocene \
   --mount "type=bind,src=$(pwd),dst=/ferrocene" \
   ubuntu-20 bash

Inside the container, run ./x clean then run the lines of the SCRIPT of the job:

./x clean
./x --stage 2 dist rust-std

Tooling Pragmatism¶

The tooling chosen for our CI is not necessarily borne out of preference, but practicality. If you are adding new components to the CI, choose practical and simple over fancy and interesting.

Ferrocene’s CI should, as a rule, be unremarkable, boring, and reliable.

In general, Python scripts are preferred over Bash scripts, as Python is more portable.

New scripts should be written in Python unless they are trivial and only run on Linux/macOS jobs.

Before attempting to fix a bug in a Bash script, evaluate if it would make sense to convert it to Python. During evaluation, check for these signals that a bash script should be rewritten in Python:

• The script runs in Windows jobs at all

  • bash.exe on Windows is problematic and has been the source of a number of bugs.

• The script calls shasum or other hashing related functionality

  • There are tangible differences between Linux, macOS, and Windows’ Bash implementations.

• The script deals with .tar files

  • Windows’ tar implementations (both BSDtar and GNUtar) are problematic with symlinks and slow, while Python’s implementation has proven more reliable.