# Architecture Overview

## System Design

The Review Bot Automator is designed as a modular, extensible system that can intelligently resolve conflicts in GitHub PR comments. The architecture follows a pipeline pattern with clear separation of concerns.

## Core Components

### 1. Comment Parser & Extractor

**Location**: `src/pr_conflict_resolver/integrations/`

Responsible for:

- Fetching PR comments from GitHub API
- Parsing different comment formats (suggestions, diffs, codemods)
- Extracting multi-option selections
- Normalizing comment data

**Key Classes**:

- `GitHubCommentExtractor`: Fetches and parses GitHub comments
- `CodeRabbitParser`: Specialized parser for CodeRabbit format
- `CommentNormalizer`: Standardizes comment data

### 2. Conflict Detection Engine

**Location**: `src/pr_conflict_resolver/analysis/`

Analyzes comments for potential conflicts:

- Line range overlap detection
- Semantic duplicate detection
- File-type specific conflict analysis
- Impact assessment

**Key Classes**:

- `ConflictDetector`: Main conflict detection logic
- `SemanticAnalyzer`: Analyzes structured file conflicts
- `ImpactAssessor`: Evaluates change impact and risk

### 3. File-Type Handlers

**Location**: `src/pr_conflict_resolver/handlers/`

Specialized handlers for different file types:

- JSON: Duplicate key detection, key-level merging
- YAML: Comment preservation, structure-aware merging
- TOML: Section merging, format preservation
- Python/TypeScript: AST-aware analysis (planned)

**Key Classes**:

- `BaseHandler`: Abstract base class for all handlers
- `JsonHandler`: JSON-specific conflict resolution
- `YamlHandler`: YAML-specific conflict resolution
- `TomlHandler`: TOML-specific conflict resolution

### 4. Priority System

**Location**: `src/pr_conflict_resolver/core/`

Determines priority levels for different change types:

- User selections (highest priority)
- Security fixes
- Syntax errors
- Regular suggestions
- Formatting changes (lowest priority)

**Key Classes**:

- `PriorityCalculator`: Calculates change priorities
- `PriorityLearner`: ML-assisted priority learning
- `DynamicPriorityAdjuster`: Context-aware priority adjustment

### 5. Resolution Strategies

**Location**: `src/pr_conflict_resolver/strategies/`

Implements different conflict resolution strategies:

- Skip: Skip conflicting change
- Override: Override lower-priority change
- Merge: Semantic merging of compatible changes
- Sequential: Apply changes in sequence
- Defer: Escalate to user

**Key Classes**:

- `ResolutionStrategy`: Base strategy class
- `PriorityBasedStrategy`: Priority-based resolution
- `SemanticMergeStrategy`: Semantic merging
- `InteractiveStrategy`: User-guided resolution

### 6. Application Engine

**Location**: `src/pr_conflict_resolver/core/`

Applies resolved changes to files:

- Backup creation
- Change application
- Validation
- Rollback on failure

**Key Classes**:

- `ChangeApplicator`: Applies changes to files
- `BackupManager`: Manages file backups
- `ValidationEngine`: Validates applied changes

### 7. Reporting & Metrics

**Location**: `src/pr_conflict_resolver/core/`

Generates reports and tracks metrics:

- Conflict summaries
- Visual diffs
- Success rate tracking
- Performance metrics

**Key Classes**:

- `ReportGenerator`: Creates conflict reports
- `MetricsCollector`: Tracks resolution metrics
- `VisualDiffGenerator`: Creates visual diffs

## Data Flow

```
GitHub PR Comments
        ↓
Comment Parser & Extractor
        ↓
Conflict Detection Engine
        ↓
    ┌─────────┴─────────┐
    ↓                   ↓
File Handlers      Priority System
    ↓                   ↓
    └─────────┬─────────┘
              ↓
Resolution Strategy Selector
              ↓
Application Engine
              ↓
Reporting & Metrics
```

## Configuration System

### Preset Configurations

- **Conservative**: Skip all conflicts, manual review required
- **Balanced**: Priority system + semantic merging (default)
- **Aggressive**: Maximize automation, user selections always win
- **Semantic**: Focus on structure-aware merging for config files

### Custom Configuration

Users can create custom configurations with:

- Priority rules
- Resolution strategies
- File-type specific settings
- Learning parameters

## Extension Points

### Custom Handlers

Implement `BaseHandler` to add support for new file types:

```python
class CustomHandler(BaseHandler):
    def can_handle(self, file_path: str) -> bool:
        return file_path.endswith('.custom')

    def apply_change(self, path: str, change: Change) -> bool:
        # Custom implementation
        pass
```

### Custom Strategies

Implement `ResolutionStrategy` for custom resolution logic:

```python
class CustomStrategy(ResolutionStrategy):
    def resolve(self, conflict: Conflict) -> Resolution:
        # Custom resolution logic
        pass
```

### Custom Integrations

Implement comment source integrations:

```python
class CustomCommentSource(CommentSource):
    def fetch_comments(self, pr: PullRequest) -> List[Comment]:
        # Custom comment fetching
        pass
```

## Performance Considerations

### Caching

- Conflict analysis results cached by fingerprint
- File content cached during processing
- Priority calculations cached by change signature

### Parallel Processing

- Multiple files processed in parallel
- Conflict analysis parallelized
- Large PRs processed in batches

### Memory Management

- Streaming processing for large files
- Lazy loading of file content
- Garbage collection of processed data

## Security Considerations

### Input Validation

- All file paths validated
- Content size limits enforced
- Malicious content detection

### Backup Management

- Secure backup storage
- Backup cleanup policies
- Rollback verification

### Access Control

- GitHub token scoping
- Repository permission checks
- User authorization validation

## Testing Strategy

### Unit Tests

- Individual component testing
- Mock external dependencies
- Edge case coverage

### Integration Tests

- End-to-end workflow testing
- Real GitHub API testing (with test repos)
- Performance benchmarking

### Test Fixtures

- Sample PR comments
- Test repositories
- Conflict scenarios
- Expected outcomes

## Deployment

### Package Distribution

- PyPI package distribution
- Docker container support
- GitHub Actions integration

### Configuration Management

- Environment-based configuration
- Secret management
- Configuration validation

### Monitoring

- Health checks
- Performance metrics
- Error tracking
- Usage analytics

## Future Enhancements

### ML-Assisted Learning

- Priority learning from user decisions
- Conflict pattern recognition
- Automatic strategy optimization

### Advanced Merging

- Three-way merge support
- Intelligent conflict resolution
- Context-aware merging

### Multi-Platform Support

- GitLab integration
- Bitbucket support
- Azure DevOps compatibility

### Enterprise Features

- Team-wide configuration
- Audit logging
- Compliance reporting
- Advanced security controls