Simplyfi

A Multi-Language Code Analysis and Visualization Platform

Table of Contents

• Introduction
• System Requirements
• Technical Architecture
• Installation Guide
• Configuration
• Usage
• Development
• API Reference
• Contributing
• Support

Introduction

Overview

Simplyfi is an advanced code analysis platform that transforms source code into comprehensive visual representations. The platform employs sophisticated parsing algorithms to generate abstract syntax trees (ASTs) and flowcharts, facilitating code understanding and documentation.

Key Capabilities

• Source code parsing and analysis across multiple programming languages
• Abstract Syntax Tree (AST) visualization
• Automated flowchart generation from code logic
• Interactive code explanation through natural language processing
• Customizable visualization parameters

Dependencies

• Python packages are listed in requirements.txt
• Additional system libraries may be required based on your operating system

Technical Architecture

Simplyfi implements a modular architecture designed for extensibility and maintainability:

Core Components

1. Input Processing Module

• Language detection and classification
• Syntax validation
• Code tokenization
• Query parsing and intent recognition

2. Analysis Engine

• Abstract Syntax Tree (AST) generation
• Control flow analysis
• Data flow tracking
• Pattern recognition

3. Visualization Pipeline

• Graph generation algorithms
• Layout optimization
• Style management
• Interactive element handling

4. User Interface Layer

• Web-based interface
• Real-time updates
• User input handling
• Result presentation

Data Flow

1. User input received through interface
2. Code/query parsed and validated
3. Analysis performed based on input type
4. Visual representation generated
5. Results displayed with interactive elements
6. User feedback collected and processed

Installation Guide

Prerequisites

Ensure your system meets the minimum requirements and has the following installed:

• Python 3.8+
• pip (Python package installer)
• Git
• virtualenv (recommended)

Installation Steps

1. Clone the Repository

   git clone https://github.com/binarybardakshat/simplyfi.git
   cd simplyfi

2. Environment Setup

   # Create virtual environment
   python -m venv venv
   
   # Activate virtual environment
   # Windows
   .\venv\Scripts\activate
   # Unix/macOS
   source venv/bin/activate

3. Install Dependencies

   pip install -r requirements.txt

4. Configure Environment

   # Create configuration directory
   mkdir -p .streamlit
   
   # Create configuration file
   touch .streamlit/secrets.toml

5. Verify Installation

   python -m pytest tests/

Configuration

API Configuration

1. Obtain API Credentials

   • Navigate to Google MakerSuite
   • Generate new API credentials
   • Save the API key securely

2. Configure API Access

   # .streamlit/secrets.toml
   [API_KEY]
   API_KEY = "your_api_key_here"

Advanced Configuration

Additional configuration options can be set in config.yaml:

visualization:
  default_theme: "light"
  export_formats: ["svg", "png", "pdf"]
  max_node_count: 1000

performance:
  cache_size: "512MB"
  worker_threads: 4
  timeout: 30

logging:
  level: "INFO"
  format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s"

Usage

Basic Usage

1. Start the Application

   streamlit run app.py

2. Access the Interface

   • Open web browser
   • Navigate to http://localhost:8501

Development

Development Setup

1. Install Development Dependencies

   pip install -r requirements-dev.txt

2. Configure Pre-commit Hooks

   pre-commit install

Testing

# Run test suite
pytest

# Run with coverage
pytest --cov=simplyfi tests/

# Generate coverage report
coverage html

Code Style

• Follow PEP 8 guidelines
• Use type hints
• Maintain test coverage above 90%
• Document all public APIs

API Reference

Core Classes

CodeAnalyzer

class CodeAnalyzer:
    """
    Main class for code analysis operations.
    """
    def analyze(self, source: str) -> Analysis:
        """
        Analyze source code and return analysis results.
        
        Args:
            source: Source code or file path
            
        Returns:
            Analysis object containing results
        """
        pass

Visualization

class Visualization:
    """
    Handles visualization generation and export.
    """
    def generate(self, analysis: Analysis) -> None:
        """
        Generate visualization from analysis results.
        """
        pass

Contributing

Contribution Process

1. Fork the repository
2. Create a feature branch
3. Implement changes
4. Add/update tests
5. Update documentation
6. Submit pull request

Code Standards

• Follow existing code style
• Include unit tests
• Update documentation
• Maintain backward compatibility
• Add type hints

Pull Request Guidelines

1. Use descriptive commit messages
2. Reference relevant issues
3. Update CHANGELOG.md
4. Ensure CI passes
5. Obtain code review approval

Support

Official Channels

• GitHub Issues: Bug reports and feature requests
• Email Support: binarybardakshat@gmail.com
• Documentation: Project Wiki

Common Issues

• API Authentication

  • Verify API key format
  • Check network connectivity
  • Confirm API service status

• Visualization

  • Validate input format
  • Check memory usage
  • Verify browser compatibility

License

This project is licensed under the MIT License. See the LICENSE file for details.

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Copyright © 2024 Simplyfi Project Contributors. All rights reserved.