JenkinsFileGenerator

---

Overview ✅

JenkinsFileGenerator transforms YAML configuration files into complete Jenkins pipeline scripts (Jenkinsfiles) by combining multiple features such as Git checkout, GitHub integration, Slack notifications, Unreal Engine builds, and more. Each feature is implemented as a separate module with its own configuration schema and template, making the system highly extensible and maintainable.

Features

• Modular Feature System: Each pipeline capability (Git, GitHub, Slack, etc.) is implemented as a separate feature
• Dependency Resolution: Automatic handling of feature dependencies using topological sorting
• Template-based Generation: Uses Mako templates for flexible code generation
• Configuration Validation: Pydantic-based validation for all configuration options
• Documentation Generation: Automatic generation of configuration documentation
• Groovy Linting: Optional integration with npm-groovy-lint for code quality

Installation

1. Clone the repository
2. Set up the Python environment:

# Windows PowerShell
.\setup-env.ps1

# Or manually:
python -m venv .venv
.venv\Scripts\Activate.ps1
pip install -e .[dev]

Usage

Basic Command Line Usage

Activating the virtual environment will create a script named jenkinsfilegenerator that you can use:

jenkinsfilegenerator <config_file> [options]

Arguments

Argument	Type	Required	Description
config	Path	Yes	Path to the YAML configuration file
-o, --output	Path	Yes	Output path for the generated Jenkinsfile
--batch	Path	No	Path to a YAML batch file
-bbd, --blackboarddata	Str	No	A comma separated list of key=value pairs
--lint	Flag	No	Run npm-groovy-lint on the generated file
--generate-documentation	Flag	No	Generates the configuration documentation
--validate	Flag	No	Validates the config file and the mako templates
--list_features	Flag	No	Output the registered features in the console
--no-validation	Flag	No	Skip configuration validation (not recommended)
--verbose	Flag	No	Show detailed messages
--quiet	Flag	No	Suppress non-error output

Examples

# Basic generation
jenkinsfilegenerator config.yaml -o Jenkinsfile

# With linting
jenkinsfilegenerator config.yaml -o Jenkinsfile --lint

# With the blackboard data
jenkinsfilegenerator config.yaml -o Jenkinsfile --blackboarddata "build_type=Development,platform=Windows" --lint

# Use a batch file with linting
jenkinsfilegenerator --batch batch.yaml --lint

# Generate documentation
jenkinsfilegenerator config.yaml --generate_documentation

Blackboard data

If you need to use the same token multiple times in a YAML config file, it is possible to specify that token in the blackboard data, with the --blackboarddata argument, which accepts a comma separated list of key=value pairs.

For example build_type=Development,platform=Windows.

In your config file, you can use the syntax ^BLACKBOARD_DATA.key^.

So for example if in your config file you have the following text:

pipeline_name: "MyGame_^BLACKBOARD_DATA.build_type^"
project:
  name: "MyGame"
jenkins:
  default_node_names: "UE_5.2"
features:
  git:
    use_simple_checkout: false
    checkout:
      branch_name: "refs/heads/^BLACKBOARD_DATA.branch_name^"

You can pass the string build_type=Development,branch_name=develop, which will update the config file to

pipeline_name: "MyGame_Development"
project:
  name: "MyGame"
jenkins:
  default_node_names: "UE_5.2"
features:
  git:
    use_simple_checkout: false
    checkout:
      branch_name: "refs/heads/develop"

before using this updated version of the config file to generate the final jenkinsfile.

Batch generation

Instead of using the config and --output arguments to generate a single jenkinsfile, it's possible to use the --batch argument to specify the path to a YAML file which contains a list of items which will each generate a different jenkinsfile.

The structure of the YAML file should start with an items property, which is an array of input_config_file, output_jenkinsfile and blackboard_data. The input_config_file and output_jenkinsfile properties are both relative path to the batch config file.

items:
- input_config_file: "jenkinsfile_release_template.yaml"
  output_jenkinsfile: "../Jenkinsfile_Release_Development"
  blackboard_data: "build_type=Development,branch_name=develop"
- input_config_file: "jenkinsfile_release_template.yaml"
  output_jenkinsfile: "../Jenkinsfile_Release_Staging"
  blackboard_data: "build_type=Staging,branch_name=staging"
- input_config_file: "jenkinsfile_release_template.yaml"
  output_jenkinsfile: "../Jenkinsfile_Release_Production"
  blackboard_data: "build_type=Production,branch_name=release"

This is a great way to generate, from the same template file, multiple outputs with different values, in one command, without having to maintain multiple config files.

Customizing the output

Some features have entry points in the output they generate, to allow you to define custom code for your project.

You can find those entry points by looking for code like this in the mako files of this repository:

% if global_values['customization'].get('XXX'):
<%include file="${global_values['customization']['XXX']}"/>
% endif

To output your own code, you need to follow these simple steps:

1. Create a folder next to your config file that will contain your customization code (Ex: Customization)
2. Set the property customization_folder of your pipeline config to the name of your folder (If you place that folder in another location, you can use a relative path here. You can also use an absolute path if you want)
3. In that folder, create a file for each customization you want. For example, the unreal feature supports unreal_postBuildGraphTasks. So you would create a file named unreal_postBuildGraphTasks.mako in that folder. Note that you can use the context data that the mako template engine uses, so you have the exact same data that is used when the feature is processed.

That's it !

You can check ue_full_example.yaml for a working configuration.

How to debug?

VS Code

In the launch.json file of the .vscode folder, add the following lines:

{
  "configurations": [
    {
      "name": "Python Debugger: Module",
      "type": "debugpy",
      "request": "launch",
      "module": "generator",
      "console": "integratedTerminal",
      "args": [
        "E:/Dev/Projects/YourGame/Scripts/Build/Jenkins/Config/jenkinsfile_pull_request.yaml",
        "--output",
        "E:/Dev/Projects/YourGame/Scripts/Build/Jenkins/Jenkinsfile",
        "--lint"
      ]
    }
  ]
}

Configuration File Structure

The configuration file is a YAML file with the following top-level structure:

pipeline_name: "MyPipeline"
project:
  name: "MyProject"
jenkins:
  default_node_names: "linux"
  workspace_suffix: "optional_suffix"
features:
  # Feature configurations go here

See the examples directory for configuration examples.

Available Features

• utils: Basic utilities (abort running builds, etc.)
• properties: Jenkins pipeline properties
• git: Git checkout configuration
• github: GitHub integration (PR handling, status updates)
• plasticscm: PlasticSCM checkout configuration
• slack_notifications: Slack messaging for build events
• unreal: Unreal Engine BuildGraph integration

You can also look at the documentation for the features.

How the Feature System Works

1. Configuration to Feature Selection

When you provide a YAML configuration file, the generator:

1. Parses the YAML into a PipelineConfig object
2. Discovers available features by scanning the generator/features/ directory
3. Selects active features based on what's present in the features section of your config
4. Validates configuration for each selected feature using Pydantic models

# Example: If your config has this...
features:
  git:
    use_simple_checkout: true
  slack_notifications:
    channel: "#ci-builds"
    message_template: "Build completed"

# The generator will:
# 1. Instantiate GitFeature and SlackNotificationsFeature
# 2. Validate their configurations against GitConfig and SlackNotificationsConfig
# 3. Add any missing dependencies (utils is added automatically)

2. Dependency Resolution

Features can declare dependencies on other features:

class GitHubFeature(BaseFeature):
    feature_name = "github"

    @property
    def dependencies(self) -> List[str]:
        return ["utils"]  # GitHub feature requires utils feature

The system uses topological sorting to ensure features are processed in the correct order, automatically adding missing dependencies with default configurations.

3. Template-based Code Generation

Each feature has an associated Mako template in generator/templates/ that defines code blocks:

<!-- git.mako -->
<%def name="additional_functions()">
def checkout() {
    % if feature_config.use_simple_checkout:
        checkout scm
    % else:
        // Complex checkout logic here
    % endif
}
</%def>

4. Block Assembly

Each feature can contribute to these predefined blocks in the final Jenkinsfile:

• libraries: @Library imports
• imports: Import statements
• properties: Pipeline properties
• pre_pipeline_steps: Code before main pipeline
• build_steps: Main build logic
• on_build_unstable: Unstable build handling
• on_build_failure: Failure handling
• on_build_success: Success handling
• post_build_steps: Post-build cleanup
• on_exception_thrown: Exception handling
• on_finally: Finally block
• additional_functions: Helper functions

5. Final Assembly

The base template (base_jenkinsfile.mako) combines all feature blocks into the final Jenkinsfile:

// Generated structure
@Library('feature-libs')
import feature.imports

properties([...])

try {
    // pre_pipeline_steps from all features

    // build_steps from all features

    if (currentBuild.result == 'UNSTABLE') {
        // on_build_unstable from all features
    } else if (currentBuild.result == 'FAILURE') {
        // on_build_failure from all features
    } else {
        // on_build_success from all features
    }

} catch (Exception e) {
    // on_exception_thrown from all features
    throw e
} finally {
    // on_finally from all features
}

// additional_functions from all features

6. Feature Implementation Pattern

To create a new feature:

1. Create the configuration model:

class MyFeatureConfig(FeatureConfig):
    setting1: str = Field(description="Description here")
    setting2: Optional[bool] = Field(default=False)

2. Implement the feature class:

class MyFeature(BaseFeature):
    feature_name = "my_feature"

    def should_include(self, config: Dict[str, Any]) -> bool:
        return "my_feature" in config

    def get_config_model(self) -> Type[FeatureConfig]::
        return MyFeatureConfig

    @property
    def dependencies(self) -> List[str]:
        return ["utils"]  # Optional dependencies

3. Create the template (templates/my_feature.mako):

<%def name="build_steps()">
    // Your Jenkins pipeline code here
    echo "Running my feature with setting: ${feature_config.setting1}"
</%def>

The feature will be automatically discovered and available for use in configuration files.

Development

• Install Astral UV

• Setup dev environment and install dependencies:

  .\setup-venv.ps1

• Linting & formatting

  • Use uv run ruff check . and uv run ruff format . Add checks to CI as required.
  • Use uv run mypy .

To create a new release, you must be on the develop branch, and call invoke create_release

Project Structure

generator/
├── core/                    # Core engine components
│   ├── jenkins_file_generator.py  # Main orchestrator
│   ├── base_feature.py      # Feature base class
│   ├── dependency_resolver.py     # Dependency management
│   └── ...
├── features/                # Feature implementations
│   ├── git.py
│   ├── github.py
│   ├── slack_notifications.py
│   └── ...
├── templates/               # Mako templates
│   ├── base_jenkinsfile.mako
│   ├── git.mako
│   └── ...
└── utils/                   # Utility modules

Adding New Features

1. Create your feature class in generator/features/
2. Create your template in generator/templates/
3. The feature will be automatically discovered and registered
4. Run --generate_documentation to update docs

License

MIT License - see LICENSE file for details.

Contributing

1. Follow the existing feature pattern
2. Add appropriate validation and documentation
3. Add entries in the .changelog folder for towncrier. You can read the README file for more information.
4. Add if possible a configuration example in the examples folder.
5. Update documentation

For detailed configuration options, see the generated documentation in the documentation/ directory.