Files
Rogee 824861c27c feat: Refactor AST generation routes workflow
- Introduced a comprehensive data model for route definitions, parameters, and validation rules.
- Established component interfaces for route parsing, comment parsing, import resolution, route building, validation, and rendering.
- Developed a detailed implementation plan outlining execution flow, user requirements, and compliance with design principles.
- Created a quickstart guide to assist users in utilizing the refactored system effectively.
- Conducted thorough research on existing architecture, identifying key improvements and establishing a refactoring strategy.
- Specified functional requirements and user scenarios to ensure clarity and testability.
- Generated a task list for implementation, emphasizing test-driven development and parallel execution where applicable.
2025-09-22 11:33:13 +08:00

4.9 KiB

Phase 0: Research Findings

Research Overview

Conducted comprehensive analysis of existing /projects/atomctl/pkg/ast/route/ implementation to understand current architecture, identify improvement opportunities, and establish refactoring strategy.

Key Findings

1. Current Architecture Analysis

File Structure:

  • route.go (272 lines): Core parsing logic with mixed responsibilities
  • builder.go (155 lines): Template data construction
  • render.go (54 lines): Rendering coordination entry point
  • renderer.go (23 lines): Template rendering wrapper
  • router.go.tpl (47 lines): Go template for code generation

Architecture Pattern: Monolithic design with functional approach, lacking clear component boundaries

2. Comparison with Refactored Provider Module

Aspect Current Route Module Refactored Provider Module
Architecture Monolithic, flat Component-based, layered
Components 5 files, unclear boundaries 15+ files, clear separation
Error Handling Simple, uses panic Comprehensive error collection
Extensibility Limited Highly extensible
Test Coverage Minimal Comprehensive test strategy
Configuration Hardcoded Configurable system

3. Identified Problems

Design Principle Violations:

  • DRY: Duplicate import parsing and AST traversal logic with provider module
  • SRP: route.go handles parsing, validation, and construction
  • OCP: Adding new parameter types requires core code changes
  • DIP: Direct dependencies between components

Code Quality Issues:

  • Use of panic instead of proper error handling
  • Hardcoded paths and package names
  • Complex type judgment logic without abstraction
  • Insufficient test coverage

4. Refactoring Strategy

Decision: Adopt the successful patterns from pkg/ast/provider refactoring Rationale:

  • Proven architecture that SOLID principles
  • Maintains backward compatibility
  • Provides clear migration path
  • Leverages existing shared utilities

Alternatives Considered:

  • Minimal fixes to existing code (rejected: doesn't address architectural issues)
  • Complete rewrite (rejected: too risky, breaks compatibility)
  • Incremental refactoring (selected: balances improvement and stability)

Research-Driven Decisions

1. Architecture Decision

Decision: Component-based architecture following provider patterns Components to Create:

  • RouteParser (coordinator)
  • CommentParser (annotation parsing)
  • ImportResolver (import processing)
  • RouteBuilder (route construction)
  • RouteValidator (validation logic)
  • RouteRenderer (template rendering)

2. Compatibility Decision

Decision: Maintain full backward compatibility Requirements:

  • Preserve existing @Router and @Bind annotation syntax
  • Keep cmd/gen_route.go interface unchanged
  • Ensure generated code output remains identical

3. Testing Strategy Decision

Decision: Test-driven development approach Approach:

  • Write comprehensive tests first (contract tests)
  • Refactor implementation to make tests pass
  • Maintain test coverage throughout refactoring

4. Performance Decision

Decision: Maintain current performance characteristics Targets:

  • <2s parsing for typical projects
  • Minimal memory overhead
  • No performance regression

Implementation Strategy

Phase 1: Design & Contracts

  1. Define new component interfaces based on provider patterns
  2. Create data models and contracts
  3. Establish test scenarios and acceptance criteria

Phase 2: Task Implementation

  1. Implement new component architecture
  2. Migrate existing logic incrementally
  3. Maintain compatibility through testing

Phase 3: Validation

  1. Comprehensive testing across all scenarios
  2. Performance validation
  3. Integration testing with existing systems

Risk Assessment

Low Risk:

  • Backward compatibility maintained
  • Incremental refactoring approach
  • Proven architectural patterns

Medium Risk:

  • Complex parameter handling logic migration
  • Template system integration
  • Error handling standardization

Mitigation Strategies:

  • Comprehensive test coverage
  • Incremental implementation with validation
  • Rollback capability at each stage

Success Criteria

  1. Code Quality: Clear separation of concerns, SOLID compliance
  2. Maintainability: Component-based architecture with clear boundaries
  3. Testability: Comprehensive test coverage with clear contract tests
  4. Compatibility: Zero breaking changes to existing functionality
  5. Performance: No performance regression

Conclusion

The research confirms that refactoring pkg/ast/route using the successful patterns from pkg/ast/provider is the optimal approach. This will improve code maintainability, testability, and extensibility while preserving all existing functionality.

Decision Status: APPROVED - Proceed to Phase 1 design