gitlab-tart-executor

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Published: May 3, 2024 License: MIT

README

GitLab Tart Executor

Custom GitLab Runner executor to run jobs inside ephemeral Tart macOS virtual machines.

Configuration

brew install cirruslabs/cli/gitlab-tart-executor
concurrent = 2

[[runners]]
  # ...
  executor = "custom"
  [runners.feature_flags]
    FF_RESOLVE_FULL_TLS_CHAIN = false
  [runners.custom]
    config_exec = "gitlab-tart-executor"
    config_args = ["config"]
    prepare_exec = "gitlab-tart-executor"
    prepare_args = ["prepare"]
    run_exec = "gitlab-tart-executor"
    run_args = ["run"]
    cleanup_exec = "gitlab-tart-executor"
    cleanup_args = ["cleanup"]

Now you can use Tart Images in your .gitlab-ci.yml:

# You can use any remote Tart image.
# Tart Executor will pull it from the registry
# and use it for creating ephemeral VMs.
image: ghcr.io/cirruslabs/macos-ventura-base:latest

test:
  # In case you tagged runners that have
  # GitLab Tart Executor configured on them
  tags:
    - tart-installed

  script:
    - uname -a

Advanced configuration

Speeding up execution by mounting a temporary directory from the host

It's been noted that jobs run faster when they write to a volume mounted from the host (most likely because this avoids the copy-on-write expansion of the VM's disk).

Tart Executor will mount a temporary directory from the host automatically if you set the TART_EXECUTOR_HOST_DIR variable either in GitLab UI or in .gitlab-ci.yml:

test:
  # You can use any remote Tart image.
  # Tart Executor will pull it from the registry
  # and use it for creating ephemeral VMs.
  image: ghcr.io/cirruslabs/macos-ventura-base:latest

  # In case you tagged runners that have
  # GitLab Tart Executor configured on them
  tags:
    - tart-installed

  script:
    - uname -a

  variables:
    TART_EXECUTOR_HOST_DIR: "true"
Fully utilizing resources of the host

You can tell the Tart Executor to override the default CPU and memory settings of the VM image by passing the --cpu and --memory command-line arguments to prepare sub-command.

To avoid manually retrieving and calculating the total number CPUs and the memory on the host, pass the auto as an argument to --cpu and --memory instead of the numerical values, e.g. --cpu auto or --memory auto.

This will force the prepare stage to retrieve the total host resources internally and calculate them according to formula:

<total amount of the resource (CPUs or memory) on the host> / <concurrency>

...where <concurrency> is controlled by the --concurrency command-line argument.

Here's an example on how to configure the GitLab Runner to run two Tart VMs concurrently, utilizing half of the host's resources for each VM:

concurrent = 2

[[runners]]
  # ...
  executor = "custom"
  [runners.feature_flags]
    FF_RESOLVE_FULL_TLS_CHAIN = false
  [runners.custom]
    config_exec = "gitlab-tart-executor"
    config_args = ["config"]
    prepare_exec = "gitlab-tart-executor"
    prepare_args = ["prepare", "--concurrency", "2", "--cpu", "auto", "--memory", "auto"]
    run_exec = "gitlab-tart-executor"
    run_args = ["run"]
    cleanup_exec = "gitlab-tart-executor"
    cleanup_args = ["cleanup"]
Using different SSH credentials

Tart Executor uses the default admin:admin credentials when connecting to the VM over SSH.

If your image uses different credentials, set TART_EXECUTOR_SSH_USERNAME and/or TART_EXECUTOR_SSH_PASSWORD variables either in GitLab UI or in .gitlab-ci.yml:

test:
  # You can use any remote Tart image.
  # Tart Executor will pull it from the registry
  # and use it for creating ephemeral VMs.
  image: ghcr.io/cirruslabs/macos-ventura-base:latest

  # In case you tagged runners that have
  # GitLab Tart Executor configured on them
  tags:
    - tart-installed

  script:
    - uname -a

  variables:
    TART_EXECUTOR_SSH_USERNAME: "custom-username"
    TART_EXECUTOR_SSH_PASSWORD: "custom-password"

Licensing

Tart Executor is open sourced under MIT license so people can base their own executors in Go of this code. Tart itself on the other hand is source available under Fair Software License that required paid sponsorship upon exceeding a free limit.

Supported command-line arguments

config stage
Argument Default Description
--builds-dir Path to a directory on host to use for storing builds, automatically mounts that directory to the guest VM (mutually exclusive with --guest-builds-dir)
--cache-dir Path to a directory on host to use for caching purposes, automatically mounts that directory to the guest VM (mutually exclusive with --guest-cache-dir)
--guest-builds-dir1 Path to a directory in guest to use for storing builds, useful when mounting a block device (via --disk command-line argument) to the VM (mutually exclusive with --builds-dir)
--guest-cache-dir1 Path to a directory in guest to use for caching purposes, useful when mounting a block device (via --disk command-line argument to the VM (mutually exclusive with --cache-dir)

1: this is an advanced feature which should only be resorted to when the standard directory sharing via --builds-dir and --cache-dir is not sufficient for some reason.

prepare stage
Argument Default Description
--concurrency 1 Maximum number of concurrently running Tart VMs to calculate the auto resources
--cpu no override Override default image CPU configuration (number of CPUs or auto1)
--memory no override Override default image memory configuration (size in megabytes or auto1)
--dir --dir arguments to pass to tart run, can be specified multiple times
--disk --disk arguments to pass to tart run, can be specified multiple times
--auto-prune true Whether to enable or disable the Tart's auto-pruning mechanism (sets the TART_NO_AUTO_PRUNE environment variable for Tart command invocations under the hood)

1: automatically distributes all host resources according to the concurrency level (for example, VM gets all of the host CPU and RAM assigned when --concurrency is 1, and half of that when --concurrency is 2)

Supported environment variables

Name Default Description
TART_EXECUTOR_SSH_USERNAME admin SSH username to use when connecting to the VM
TART_EXECUTOR_SSH_PASSWORD admin SSH password to use when connecting to the VM
TART_EXECUTOR_SSH_PORT 22 Connect to the VM at the given SSH port
TART_EXECUTOR_HEADLESS true Run the VM in headless mode (true) or with GUI (false)
TART_EXECUTOR_ALWAYS_PULL true Always pull the latest version of the Tart image (true) or only when the image doesn't exist locally (false)
TART_EXECUTOR_INSECURE_PULL false Set to true to connect the OCI registry via insecure HTTP protocol
TART_EXECUTOR_PULL_CONCURRENCY Override the Tart's default network concurrency parameter (--concurrency) when pulling remote VMs from the OCI-compatible registries
TART_EXECUTOR_SOFTNET false Whether to enable Softnet software networking (true) or disable it (false)
TART_EXECUTOR_BRIDGED Use bridged networking, for example, "en0". Use tart run --net-bridged=list to see names of all available interfaces.
TART_EXECUTOR_HOST_DIR1 false Whether to mount a temporary directory from the host for performance reasons (true) or use a directory inside of a guest (false)
TART_EXECUTOR_SHELL system default Alternative Unix shell to use (e.g. bash -l)
TART_EXECUTOR_INSTALL_GITLAB_RUNNER Set to brew to install GitLab Runner via Homebrew, curl to install the latest version using cURL or major.minor.patch to install a specific version using cURL
TART_EXECUTOR_TIMEZONE Timezone to set in the guest (or auto to pick up the timezone from host), see systemsetup listtimezones for a list of possible timezones

1: to use the directory mounting feature, both the host and the guest need to run macOS 13.0 (Ventura) or newer.

Local Development

In order to test a local change with your GitLab Runner, you first need to build the binary:

go build -o gitlab-tart-executor cmd/gitlab-tart-executor/main.go

Now you can run your GitLab Runner as follows:

PATH=$PATH:$PWD gitlab-runner run

If that's not possible, use an absolute path to gitlab-tart-executor binary in your .gitlab-runner/config.toml for config_exec , prepare_exec, run_exec and cleanup_exec fields.

Directories

Path Synopsis
cmd
internal

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