# Refactoring Tasks

## Purpose

This directory contains tasks for improving code quality, structure, and maintainability in the LLM AnyGate project without changing external behavior. These tasks focus on technical debt reduction and code optimization.

## Refactoring Categories

### Architecture
- Module reorganization
- Dependency injection
- Design pattern implementation
- Service layer extraction

### Performance
- Algorithm optimization
- Caching implementation
- Database query optimization
- Async/await improvements

### Code Quality
- Duplicate code removal
- Complex method simplification
- Variable/function renaming
- Type hint additions

### Technical Debt
- Legacy code modernization
- Library updates
- Deprecated API removal
- Test coverage improvement

## Task Template

```markdown
# Refactor: [Component/Area]

## HEADER
- **Purpose**: Improve [what aspect]
- **Status**: pending
- **Date**: [YYYY-MM-DD]
- **Dependencies**: [Related refactors]
- **Target**: [Who will refactor]

## Motivation
[Why this refactoring is needed]

## Current State
```python
# Current implementation
def current_implementation():
    # Problems:
    # - Too complex
    # - Poor performance
    # - Hard to test
    pass
```

## Proposed State
```python
# Refactored implementation
def refactored_implementation():
    # Improvements:
    # - Cleaner structure
    # - Better performance
    # - Testable
    pass
```

## Refactoring Plan
1. [ ] Step 1: [Extract method/class]
2. [ ] Step 2: [Simplify logic]
3. [ ] Step 3: [Add abstractions]
4. [ ] Step 4: [Update tests]

## Benefits
- **Readability**: [How it improves]
- **Performance**: [Expected gains]
- **Maintainability**: [Future benefits]
- **Testing**: [Test improvements]

## Risk Assessment
- **Breaking Changes**: [None/List them]
- **Performance Risk**: [Low/Medium/High]
- **Complexity**: [Simple/Moderate/Complex]

## Verification
- [ ] All tests pass
- [ ] No behavior changes
- [ ] Performance benchmarked
- [ ] Code reviewed

## Metrics
- Lines of code: [before] → [after]
- Complexity: [before] → [after]
- Test coverage: [before] → [after]
```

## Example Refactoring Tasks

### Provider System
- `task-extract-provider-interface.md` - Clean provider abstraction
- `task-async-provider-calls.md` - Convert to full async
- `task-provider-factory-pattern.md` - Implement factory pattern

### Configuration System
- `task-simplify-config-parsing.md` - Reduce complexity
- `task-config-validation-layer.md` - Extract validation
- `task-config-schema-types.md` - Add type safety

### Gateway Core
- `task-router-middleware.md` - Extract routing logic
- `task-request-pipeline.md` - Create request pipeline
- `task-response-handlers.md` - Standardize responses

### Testing
- `task-test-fixtures.md` - Create reusable fixtures
- `task-mock-providers.md` - Improve provider mocks
- `task-test-organization.md` - Reorganize test structure

## Code Smells to Address

Common issues to refactor:
- Long methods (>20 lines)
- Deep nesting (>3 levels)
- Duplicate code blocks
- Magic numbers/strings
- Large classes (>200 lines)
- Complex conditionals
- Tight coupling
- Missing abstractions

## Refactoring Techniques

### Extract Method
Before:
```python
def process(data):
    # validation
    if not data:
        raise ValueError()
    # transformation
    result = data.upper()
    # save
    save_to_db(result)
```

After:
```python
def process(data):
    validate(data)
    result = transform(data)
    save(result)
```

## Best Practices

1. One refactoring at a time
2. Maintain test coverage throughout
3. Use version control for safety
4. Benchmark performance changes
5. Document architectural decisions
6. Get code review before merging