infrash-embedded 0.1.23
Energy optimization tool for embedded systems, particularly MSP430 microcontrollers
License: Apache License 2.0
Requires Python: >=3.7

# Energy Optimizer

**Website**: [embedded.infrash.com](https://embedded.infrash.com)

A comprehensive tool for analyzing and optimizing embedded code for energy efficiency, with a particular focus on MSP430 microcontrollers.

## Overview

Energy Optimizer is a command-line tool that helps embedded systems developers identify and fix energy inefficiencies in their code. The tool focuses on:

1. Static code analysis to find energy-inefficient code patterns
2. Suggesting optimizations to reduce power consumption
3. Generating detailed energy efficiency reports
4. Supporting deployment of optimized code

## Features

- **Static Code Analysis**: Scan your code for energy inefficiencies without executing it
- **MSP430 Optimizations**: Specialized analysis for MSP430 microcontrollers
- **Comprehensive Reports**: Detailed reports with energy impact estimates
- **Automatic Optimization**: Suggestions for code improvements
- **Integration Support**: Deploy optimized code with version control integration

## Installation

```bash
pip install infrash-embedded
```

## Usage

### Basic Commands

```bash
# Analyze a project
energy-optimizer analyze /path/to/msp430/project

# Optimize code
energy-optimizer optimize /path/to/project

# Generate a report
energy-optimizer report /path/to/project --format markdown --output report.md

# Deploy optimized code
energy-optimizer deploy /path/to/project git@github.com:user/repo.git
```

### Analyzing a Project

```bash
energy-optimizer analyze /path/to/your/project
```

### Optimizing a Project

```bash
energy-optimizer optimize /path/to/your/project
```

### Generating a Report

```bash
energy-optimizer report /path/to/your/project --format markdown --output report.md
```

### Deploying Optimized Code

```bash
energy-optimizer deploy /path/to/your/project git@github.com:username/repository.git
```

## Architecture

The tool consists of several key components:

### 1. Code Analysis Module

#### Code Parser
- Language detection (C, C++, Assembly)
- AST generation for detailed analysis
- Dependency resolution

#### Pattern Detector
- Loop analysis for inefficiencies
- Sleep mode optimization
- Peripheral usage analysis
- Function call optimization
- Clock configuration evaluation

#### MSP430 Specific Analyzer
- Register configuration analysis
- Instruction set optimization
- Hardware-specific pattern recognition

#### Configuration Analyzer
- Compiler flag optimization
- Linker script analysis
- Build system optimization

#### Issue Management
- Collection and prioritization
- Impact estimation
- Suggestion generation

### 2. Optimization Module

### 3. Reporting Module

### 4. Deployment Module

## Supported Optimizations

Energy Optimizer can detect and suggest improvements for:

- Inefficient loops and unnecessary computations
- Suboptimal power modes and sleep configurations
- Peripheral usage and configuration issues
- Clock system inefficiencies
- Register configuration problems
- Function call optimizations
- MSP430-specific energy issues

## Data Flow

1. Source code files are parsed into AST representations
2. Multiple analyzers process the AST in parallel
3. Identified issues are collected, classified, and prioritized
4. Suggestions for improvements are generated based on issues
5. Results are passed to other modules (optimization, reporting)

## Requirements

- Python 3.7 or higher
- For deployment features: Git
- For analysis of compiled code: LLVM/Clang (optional)

## Development

```bash
# Clone the repository
git clone https://github.com/infrash/embedded.git

# Navigate to the project directory
cd embedded

# Install dependencies
pip install -r requirements.txt
```

## Extension Mechanisms

- Plugin System: Interface for adding custom analyzers
- Rule Database: Configurable rules for different microcontrollers
- Pattern Recognition Database: Expandable database of energy anti-patterns
- Architecture-specific Extensions: Framework for supporting additional microcontroller architectures

## Performance Optimizations

- Incremental Analysis: Only analyze changed files when possible
- Parallel Processing: Analyze multiple files concurrently
- Caching: Cache AST and analysis results for reuse
- Configurable Depth: Allow adjustment of analysis depth based on performance requirements

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request on our [GitHub repository](https://github.com/infrash/embedded).

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