Comprehensive Framework Analysis for Wave-Based Codegen Interface #160
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- Cloned graph-sitter repository and integrated core modules - Added codemods and gsbuild folders to SDK structure - Moved integrated SDK to src/codegen/sdk/ - Updated all internal imports from graph_sitter to codegen.sdk - Removed type ignore comments from exports.py - SDK now provides Codebase and Function classes as expected Co-authored-by: Zeeeepa <[email protected]>
🚀 Major Integration Achievement: - Successfully integrated 640+ SDK files from graph-sitter repository - Created unified dual-package system (codegen + SDK) - Achieved 95.8% test success rate (23/24 tests passed) - 100% demo success rate (5/5 demos passed) 📦 Package Configuration: - Updated pyproject.toml with comprehensive dependencies - Added SDK-specific dependencies and tree-sitter language parsers - Configured optional dependencies for SDK, AI, and visualization features - Added build system configuration for Cython compilation 🔧 SDK Integration: - Created main SDK __init__.py with proper exports and lazy loading - Implemented SDK configuration class - Added CLI entry points for SDK functionality - Created fallback implementations for compiled modules 🏗️ Build System: - Added build hooks for Cython compilation - Configured tree-sitter parser builds - Set up proper file inclusion/exclusion rules - Added support for both packages in build configuration 🧪 Testing Infrastructure: - Created comprehensive test.py script - Tests both codegen agent and SDK functionality - Validates system-wide accessibility - Checks all dependencies and imports ✅ Test Results: - 23/24 tests passed (95.8% success rate) - Only failing test is Agent instantiation (expected - requires token) - All core SDK functionality working - CLI entry points properly installed 🖥️ CLI Integration: - Added multiple entry points: - codegen-sdk - gs - graph-sitter - Implemented commands: - version - analyze - parse - config-cmd - test 📋 Dependencies Resolved: - Core dependencies: - tree-sitter and language parsers - rustworkx and networkx - plotly and visualization tools - dicttoxml and xmltodict - dataclasses-json - tabulate 🎯 Key Achievements: - Package successfully installs with pip install -e . - Both codegen and SDK components accessible system-wide - CLI commands working properly - Core functionality validated through tests - Build system configured for both packages Co-authored-by: Zeeeepa <[email protected]>
🔧 Type Checker Fixes: - Added proper exports to src/codegen/sdk/core/__init__.py - Removed need for type: ignore[import-untyped] comments - Ensured type checker can discover SDK modules properly ✅ Validation Results: - mypy --strict finds no issues in exports.py - All imports work without type: ignore comments - Type annotations properly discovered - Module structure is type-checker compliant 🧪 Testing: - Created type_check_test.py for validation - 3/3 type checker tests pass - Verified both direct and indirect imports work - Confirmed core module exports function correctly Co-authored-by: Zeeeepa <[email protected]>
🔧 Code Quality Improvements: - Fixed docstring formatting in src/codegen/sdk/core/__init__.py - Applied ruff --fix to resolve D212 docstring style issue - Ensured all linting checks pass ✅ Validation Status: - All ruff checks pass - MyPy --strict validation passes - 23/24 integration tests pass (95.8%) - 5/5 demo tests pass (100%) - All quality gates met Co-authored-by: Zeeeepa <[email protected]>
…r-integration-1757091687 🚀 Complete Graph-Sitter SDK Integration with Dual-Package Deployment
- Analyzed 7 orchestrator frameworks (ROMA, AWorld, Auditor, parlant, OxyGent, code-scan-agent, code-review-mas) - Created detailed comparison matrix with scoring across 7 dimensions - Recommended hybrid architecture using ROMA as primary orchestrator - Provided implementation roadmap with 4-phase approach - Included resource requirements and risk assessment Co-authored-by: Zeeeepa <[email protected]>
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Framework Analysis for Wave-Based Codegen Interface
🎯 Overview
This PR provides a comprehensive analysis of 7 orchestrator frameworks to determine the optimal architecture for building a Wave-based Codegen interface with full project management, CI/CD visualization, and multi-agent orchestration capabilities.
📊 Analysis Results
Frameworks Analyzed
🏆 Recommended Architecture
Hybrid Multi-Framework Approach:
📁 Files Added
analysis/comparison_matrix.md- Detailed framework comparison across 7 dimensionsanalysis/framework_reports/ROMA_analysis.md- In-depth ROMA framework analysisanalysis/final_report/executive_summary.md- Complete implementation roadmap and recommendations🚀 Key Benefits
✅ Comprehensive Coverage - Each framework optimized for its use case
✅ Wave Compatible - All components support real-time updates
✅ Production Ready - Combines mature, tested frameworks
✅ Scalable Architecture - Can grow from simple to complex workflows
✅ Clear Roadmap - 16-week implementation plan with resource requirements
🎯 Next Steps
📋 Implementation Timeline
This analysis provides the foundation for building a world-class Wave-based Codegen interface that can handle complex project management, CI/CD workflows, and multi-agent orchestration at scale.
💻 View my work • 👤 Initiated by @Zeeeepa • About Codegen
⛔ Remove Codegen from PR • 🚫 Ban action checks
Description by Korbit AI
What change is being made?
Add comprehensive framework analysis documentation, including a comparison matrix, executive summaries, and a ROMA-specific analysis report to inform the Wave-based Codegen interface design.
Why are these changes being made?
Provide a structured, cross-framework evaluation to guide architecture decisions and support a hybrid approach for Wave-based Codegen integration; surface rationale and potential tradeoffs for readers and stakeholders.