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SuperShader with Maestro Orchestration

This project integrates the SuperShader system with Maestro for workflow orchestration and automation.

Overview

SuperShader is a comprehensive shader management and optimization system. With Maestro integration, we can orchestrate complex workflows for shader compilation, optimization, testing, and deployment.

Maestro Project Structure

This project uses Maestro for tracking development work and orchestrating workflows:

  • Tracks: Major areas of work (e.g., CLI development, shader processing, performance optimization)
  • Phases: Stages within each track (e.g., basic features, advanced features)
  • Tasks: Individual units of work

Current tracks:

  • SuperShader CLI Development
  • Shader Processing Pipeline
  • Performance Optimization

Directory Structure

  • runbooks/ - High-level orchestration scripts defining complete workflows
  • workflows/ - Reusable workflow components
  • tracks/ - Logical groupings of related phases and tasks (for reference)
  • shaders/ - Shader source files
  • output/ - Compiled and optimized shader outputs
  • logs/ - Execution logs and performance metrics
  • maestro_config.json - Configuration for Maestro orchestration
  • supershader_cli.py - Main CLI entry point
  • .maestro/ - Maestro project metadata and tracking information

Maestro Usage

After cloning the repository, initialize Maestro:

maestro init
maestro repo resolve

Managing Tracks, Phases, and Tasks

# List all tracks
maestro track list

# Add a new track
maestro track add "New Feature Track"

# Add a phase to a track
maestro phase add --track <track-id> "Phase Name"

# Add a task to a phase
maestro task add --phase <phase-id> "Task Description"

# List all tasks
maestro task list

# Mark a task as complete
maestro task <task-id> complete

Features

Basic CLI Features

  • Shader compilation
  • Syntax validation
  • Basic optimization
  • Testing framework

Advanced CLI Features

  • Performance analysis
  • Advanced optimization techniques
  • Cross-platform compatibility validation
  • Integration capabilities

Usage

# Initialize the project structure
mkdir -p shaders output logs

# Run basic CLI workflow
python supershader_cli.py basic --shader path/to/shader.vert

# Run advanced CLI workflow
python supershader_cli.py advanced --shader path/to/shader.frag

# Compile a specific shader
python supershader_cli.py compile --shader path/to/shader.vert

# Validate a shader
python supershader_cli.py validate --shader path/to/shader.frag

# Optimize a shader
python supershader_cli.py optimize --shader path/to/shader.vert

# Profile performance
python supershader_cli.py profile --shader path/to/shader.vert

# Test a shader (includes validation and compilation)
python supershader_cli.py test --shader path/to/shader.frag

Testing

Run the comprehensive test suite:

./test_supershader_updated.sh

This script will:

  • Create test shaders in the shaders/ directory
  • Run validation, compilation, and profiling on the test shaders
  • Execute basic and advanced workflows
  • Demonstrate all available functionality

Integration

This setup allows seamless integration with:

  • Build systems
  • CI/CD pipelines
  • Performance profiling tools
  • Cross-platform validation tools

Documentation

  • SUPER_SHADER_DOCS.md - Comprehensive project documentation
  • MAESTRO_TASKS.md - Maestro tracking and task management guide
  • NEXT_STEPS.md - Overview of implemented features and future enhancements

Development

To contribute to this project:

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Update documentation as needed
  5. Submit a pull request

For major changes, please open an issue first to discuss what you would like to change.

License

See the LICENSE file for licensing information.

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