# Specification: container_optimization


**Version**: v0.1.0 | **Status**: Active | **Last Updated**: May 2026

## Overview
The `container_optimization` module is designed to provide automated container optimization capabilities within the Codomyrmex ecosystem.

## Components

### `ContainerOptimizer`
- `analyze_image(image_name: str) -> ImageAnalysis`: Performs a deep analysis of a Docker image.
- `suggest_optimizations(image_name: str) -> list[OptimizationSuggestion]`: Generates specific suggestions for improving the image.
- `get_optimization_report(image_name: str) -> dict[str, Any]`: Combines analysis and suggestions into a comprehensive report.

### `ResourceTuner`
- `analyze_usage(container_id: str) -> ResourceUsage`: Monitors and analyzes the CPU and memory usage of a running container.
- `suggest_limits(usage: ResourceUsage) -> dict[str, str]`: Recommends resource limits based on historical usage.

## Data Models
- `ImageAnalysis`: Contains size, layer count, base image, and discovered optimizations.
- `OptimizationSuggestion`: Describes a specific improvement, its impact, and effort.
- `ResourceUsage`: Tracks peak and average resource consumption.

## Requirements
- `docker-py` for interacting with the Docker daemon.
- `loguru` for logging.
- `fire` for the CLI orchestrator.

## Navigation

- **Self**: `SPEC.md`
- **Parent**: [../README.md](../README.md)
- **Readme**: [README.md](README.md)
- **Agents**: [AGENTS.md](AGENTS.md)
- **Repository Root**: [README.md](../../../README.md)
