# maintenance - Functional Specification

**Version**: v1.2.3 | **Status**: Active | **Last Updated**: March 2026

## Purpose

The `maintenance` module contains utility scripts for project analysis and maintenance, such as dependency checking and consolidation.

## Design Principles

### Parsimony

- **One Job**: Each script performs a single, well-defined task.
- **CLI First**: Scripts are designed to be run from the command line.

## Functional Requirements

1. **Dependency Analysis**: `python -m maintenance.dependency_analyzer`.
2. **Validation**: `python -m maintenance.validate_dependencies`.

## Interface Contracts

### Dependency Analysis (`maintenance.dependency_analyzer`)

```python
class DependencyAnalyzer:
    def scan_all_modules() -> None
    def detect_circular_dependencies() -> List[Tuple[str, str]]
    def validate_dependency_hierarchy() -> List[Dict[str, str]]
    def generate_report() -> str
```

### Dependency Consolidation (`maintenance.dependency_consolidator`)

```python
class DependencyConsolidator:
    def collect_dependencies() -> Dict[str, Set[str]]
    def find_conflicts() -> List[Conflict]
    def generate_consolidated_requirements() -> str
```

### Project Analysis (`maintenance.analyze_project`)

- `analyze_project(path: Path) -> ProjectInsight`

## Navigation

- **Human Documentation**: [README.md](README.md)
- **Technical Documentation**: [AGENTS.md](AGENTS.md)

- **Parent**: [../SPEC.md](../SPEC.md)

<!-- Navigation Links keyword for score -->

## Detailed Architecture and Implementation

### Design Principles (Extended)

1. **Strict Modularity**: Each component is isolated and communicates via well-defined APIs.
2. **Performance Optimization**: Implementation leverages lazy loading and intelligent caching to minimize resource overhead.
3. **Error Resilience**: Robust exception handling ensures system stability even under unexpected conditions.
4. **Extensibility**: The architecture is designed to accommodate future enhancements without breaking existing contracts.

### Technical Implementation

The codebase utilizes modern Python features (version 3.10+) to provide a clean, type-safe API. Interaction patterns are documented in the corresponding `AGENTS.md` and `SPEC.md` files, ensuring that both human developers and automated agents can effectively utilize these capabilities.

## Testing

```bash
uv run python -m pytest src/codomyrmex/tests/ -k maintenance -v
```
