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ADR-002: Preset Expansion System

Status: Accepted Date: 2026-02-05 Deciders: Engineering Team Technical Story: Extensible preset system for reusable configuration patterns

Context

As mooncake matured, users frequently requested support for common deployment patterns (Ollama, Docker, PostgreSQL, Nginx, etc.). The initial approach was to implement each as a native Go action (e.g., ollama action with ~1,400 lines of code). This approach had several problems:

  1. Maintenance Burden: Each new tool required ~1,000+ lines of Go code, tests, documentation
  2. Release Cycle Dependency: Adding/updating tool support required code releases
  3. Limited User Extensibility: Users couldn't create their own "actions" without Go knowledge
  4. Feature Bloat: Core binary size grew with each tool integration
  5. Tight Coupling: Tool-specific logic mixed with mooncake core

The Ollama action exemplified these issues:

  • 672 lines in ollama_step.go + 646 lines of tests
  • Platform detection logic (apt/dnf/yum/brew)
  • Service configuration (systemd/launchd)
  • Model management
  • Installation/uninstallation workflows

Most of this logic could be expressed in YAML using existing mooncake actions (shell, service, file, etc.), but no mechanism existed for packaging reusable workflows.

Decision

We adopted a preset system that allows packaging reusable workflows as YAML files. Presets expand into constituent steps at execution time with parameter injection.

Benefits:

  • Extensible: Users can create presets without Go knowledge
  • Maintainable: Update workflows in YAML, no code releases needed
  • Smaller Binary: Tool-specific code moved out of core
  • Faster Iteration: Presets can be updated without recompilation

1. Preset Structure

Presets are YAML files defining:

  • Name: Unique identifier
  • Description: Human-readable summary
  • Version: Semantic version
  • Parameters: Typed parameter definitions (string, bool, array, object)
  • Steps: Mooncake steps using existing actions

Example:

name: ollama
description: Install and configure Ollama AI runtime
version: 1.0.0
parameters:
  - name: state
    type: string
    default: present
    enum: [present, absent, running, stopped]
  - name: models
    type: array
    required: false
steps:
  - name: Install Ollama
    shell: curl -fsSL https://ollama.com/install.sh | sh
    when: "{{ parameters.state != 'absent' }}"
  - name: Configure service
    service:
      name: ollama
      state: "{{ parameters.state }}"

2. Key Architectural Decisions

Flat Presets Only (No Nesting)

  • Presets CANNOT invoke other presets
  • Prevents circular dependencies
  • Simpler mental model and execution flow
  • Easier to debug and trace
#  NOT ALLOWED
name: my-preset
steps:
  - preset: base-setup  # Would fail validation - presets cannot call other presets

Parameters Namespace

  • Parameters accessible via parameters.name in templates
  • Clear separation from variables and facts
  • Prevents naming collisions
- shell: echo "{{ parameters.state }}"  #  Explicit namespace
- shell: echo "{{ state }}"              #  Would look in variables

Register at Preset Level

  • Preset returns aggregate result (changed = any step changed)
  • Users get preset_result.changed, preset_result.stdout
  • Individual step results not exposed (encapsulation)
- preset: ollama
  with:
    state: present
  register: install_result

- print: "Ollama changed: {{ install_result.changed }}"

Discovery Paths (Priority Order)

  1. ./presets/ - Playbook-local presets
  2. ~/.mooncake/presets/ - User presets
  3. /usr/local/share/mooncake/presets/ - Local installation
  4. /usr/share/mooncake/presets/ - System installation

Two File Formats

  • Flat: <name>.yml (e.g., presets/ollama.yml)
  • Directory: <name>/preset.yml (e.g., presets/ollama/preset.yml)
  • Directory format supports bundling templates/files with preset

3. Execution Flow

  1. User invokes preset: preset: {name: ollama, with: {state: present}}
  2. Loader searches discovery paths for preset definition
  3. Validator checks parameters (types, required, enum constraints)
  4. Expander creates parameters namespace with validated params
  5. Expander clones preset steps
  6. Planner expands includes, loops, templates (with parameters injected)
  7. Executor runs expanded steps sequentially
  8. Handler aggregates results (changed = any step changed)
  9. Result registered to user's variable if requested

4. Integration with Planner

Presets integrate with the planner's expansion system:

  • Preset steps may contain include directives → expanded by planner
  • Preset steps may contain with_items loops → expanded by planner
  • Preset steps may use relative paths → resolved from preset base directory
  • Parameters injected into variable context before planner expansion

This ensures presets work seamlessly with all mooncake features.

Alternatives Considered

Alternative 1: Nested Presets

Approach: Allow presets to invoke other presets

Pros:

  • Better composition and reuse
  • DRY principle for common patterns

Cons:

  • Circular dependency complexity
  • Harder to debug (deep nesting)
  • Parameter passing complexity
  • Execution order ambiguity

Rejected: Simplicity and debuggability more important than composition

Alternative 2: Global Variables Instead of Parameters Namespace

Approach: Inject parameters directly into global variable context

Pros:

  • Simpler template syntax: {{ state }} vs {{ parameters.state }}

Cons:

  • Name collisions with user variables
  • Unclear where values come from
  • Harder to track parameter usage

Rejected: Explicit namespace prevents subtle bugs and improves clarity

Alternative 3: Keep Tool-Specific Actions

Approach: Continue implementing tools as Go actions

Pros:

  • No new concepts for users
  • Potentially better performance
  • Compile-time validation

Cons:

  • Doesn't solve maintenance burden
  • Users can't extend without Go knowledge
  • Binary bloat
  • Slow feature iteration

Rejected: Doesn't address core extensibility problem

Alternative 4: Expose Individual Step Results

Approach: Return array of results instead of aggregate

Pros:

  • More granular control for users
  • Can inspect each step individually

Cons:

  • Breaks encapsulation
  • Implementation details leak
  • API changes when preset internals change
  • More complex for users

Rejected: Aggregate result better matches abstraction level

Consequences

Positive

  1. Code Reduction
  2. Ollama: ~1,400 lines Go → 250 lines YAML
  3. Removed: ollama_step.go, ollama_step_test.go
  4. Net: -1,400 lines code, +250 lines YAML

  5. User Extensibility

  6. Users can create presets without Go knowledge
  7. Share presets via git/files
  8. Community can contribute presets

  9. Faster Iteration

  10. Update presets without recompiling
  11. No release cycle for preset changes
  12. Users can hotfix/customize locally

  13. Smaller Binary

  14. Tool-specific code moved to YAML
  15. Core stays focused and minimal

  16. Better Separation of Concerns

  17. Core: execution engine
  18. Presets: tool workflows
  19. Clear boundary

  20. Validation and Safety

  21. Parameter type checking
  22. Required parameter enforcement
  23. Enum constraint validation

Negative

  1. Two Ways to Do Things
  2. Users might be confused: action vs preset?
  3. Mitigation: Clear documentation, use presets for tools

  4. Runtime Errors Instead of Compile-Time

  5. YAML typos discovered at runtime
  6. Mitigation: JSON schema validation, dry-run mode

  7. Performance Overhead

  8. YAML parsing and expansion at runtime
  9. Mitigation: Overhead negligible for typical workloads

  10. Limited Type Safety

  11. No compile-time checks for parameter usage
  12. Mitigation: Parameter validation catches most issues

Risks

  1. Preset Quality
  2. Risk: Community presets may be buggy/insecure
  3. Mitigation: Discovery path priority (local overrides system)
  4. Status: Low risk with good docs

  5. Breaking Changes

  6. Risk: Preset API changes break users
  7. Mitigation: Semantic versioning for presets
  8. Status: Medium risk, needs version checking

  9. Performance

  10. Risk: Complex presets might be slow
  11. Mitigation: Benchmarking, optimization if needed
  12. Status: Low risk, not observed in practice

Implementation Details

File Organization

internal/
├── presets/
│   ├── loader.go       # Preset discovery and loading
│   ├── validator.go    # Parameter validation
│   └── expander.go     # Step expansion with parameters
├── actions/
│   └── preset/
│       └── handler.go  # Preset action handler
presets/
├── ollama.yml          # Flat format example
└── complex-app/        # Directory format example
    ├── preset.yml
    ├── templates/
    │   └── config.j2
    └── files/
        └── default.conf

Parameter Validation

// ValidateParameters checks user-provided parameters against definition
func ValidateParameters(def *PresetDefinition, userParams map[string]interface{}) (map[string]interface{}, error) {
    validated := make(map[string]interface{})

    // Check each defined parameter
    for _, param := range def.Parameters {
        value, provided := userParams[param.Name]

        // Apply defaults
        if !provided && param.Default != nil {
            value = param.Default
        }

        // Check required
        if !provided && param.Required {
            return nil, fmt.Errorf("required parameter '%s' not provided", param.Name)
        }

        // Type checking
        if err := validateType(param.Type, value); err != nil {
            return nil, fmt.Errorf("parameter '%s': %w", param.Name, err)
        }

        // Enum constraints
        if len(param.Enum) > 0 && !contains(param.Enum, value) {
            return nil, fmt.Errorf("parameter '%s' must be one of %v", param.Name, param.Enum)
        }

        validated[param.Name] = value
    }

    // Check for unknown parameters
    for name := range userParams {
        if !isDefined(def, name) {
            return nil, fmt.Errorf("unknown parameter '%s'", name)
        }
    }

    return validated, nil
}

Context Isolation

Preset execution preserves caller's variable context:

// Save context before execution
saved := captureContext(ec)
defer saved.restore(ec, parametersNamespace)

// Inject parameters
for k, v := range parametersNamespace {
    ec.Variables[k] = v
}

// Execute steps
ExecuteSteps(expandedSteps, ec)

// Context automatically restored by defer

Relative Path Resolution

Preset base directory used for relative paths:

# In presets/myapp/preset.yml
steps:
  - template:
      src: templates/config.j2      # Resolved to presets/myapp/templates/config.j2
      dest: /etc/myapp/config.conf
  - copy:
      src: files/default.conf       # Resolved to presets/myapp/files/default.conf
      dest: /etc/myapp/default.conf

Validation of Approach

Ollama Migration Success

The Ollama action was successfully migrated to a preset:

  • Before: 1,400 lines Go (action + tests)
  • After: 250 lines YAML
  • Functionality: Identical (all features preserved)
  • Test Coverage: Manual testing + examples
  • Breaking Changes: Zero (users updated config)

This validates that presets can handle complex, multi-platform workflows.

Preset vs Action Guidelines

Use Presets For:

  • Tool installation/configuration (Ollama, Docker, PostgreSQL)
  • Multi-step workflows (deploy webapp, setup dev environment)
  • Platform-specific logic (apt vs dnf vs brew)
  • Service management patterns

Use Actions For:

  • Primitive operations (file, shell, template)
  • Performance-critical paths
  • Complex logic requiring Go
  • Core mooncake features

Compliance

This ADR complies with:

  • YAML specification for preset format
  • JSON Schema for parameter validation
  • Mooncake code style guidelines
  • Security best practices (no code execution from presets)

References

Future Considerations

  1. Preset Versioning: Add version checking and compatibility validation
  2. Preset Registry: Central repository for community presets
  3. Preset Testing: Framework for testing presets (like molecule for Ansible)
  4. Preset Documentation: Auto-generate docs from preset definitions
  5. Preset Dependencies: Allow declaring required system packages/tools
  6. Conditional Parameters: Parameter visibility based on other parameter values
  7. Preset Composition: Explore safe nesting patterns if user demand arises

Appendix: Migration Statistics

Ollama Action Removal

  • Files Deleted: 2 files (1,318 lines)
  • internal/executor/ollama_step.go (672 lines)
  • internal/executor/ollama_step_test.go (646 lines)
  • Files Created: 1 file (250 lines)
  • presets/ollama.yml
  • Net Change: -1,068 lines (-81% code reduction)
  • Breaking Changes: None (config syntax equivalent)
  • User Migration: Update ollama: to preset: {name: ollama, with: {...}}

Preset System Implementation

  • Core Files: 4 files (715 lines)
  • internal/presets/loader.go (120 lines)
  • internal/presets/validator.go (180 lines)
  • internal/presets/expander.go (50 lines)
  • internal/actions/preset/handler.go (205 lines)
  • Tests (160 lines)
  • Documentation: 3 guides (1,400+ lines)
  • User guide (600 lines)
  • Authoring guide (800 lines)
  • Reference updates
  • Examples: 30+ examples in examples/ollama/

Overall Impact

  • Code: -1,068 lines (action removal) + 715 lines (preset system) = -353 net lines
  • Extensibility: Users can now create presets without Go knowledge
  • Maintenance: Preset updates = YAML edits (no releases needed)
  • Performance: Negligible overhead measured