PyFlow - Visual Python Coding Assistant

🎯 Overview

PyFlow is a comprehensive web-based platform designed to help new Python programmers learn faster through real-time visual flow diagrams, interactive debugging tools, and AI-assisted coding suggestions.

✨ Features

Core Functionality

• Dynamic Code-to-Flowchart Visualizer: Real-time conversion of Python code to interactive flowcharts
• Interactive Debugging Mode: Step-by-step execution with animated flowchart visualization
• AI-Powered Learning Assistant: Intelligent code explanations and suggestions
• Template & Snippet Library: Drag-and-drop code templates for common patterns
• Gamified Challenges: Progressive coding challenges with visual feedback
• Collaboration Tools: Share and collaborate on code with real-time flowchart updates

Learning Features

• Visual algorithm understanding through flowcharts
• Plain English error explanations
• Pythonic code suggestions
• Progress tracking and analytics
• Personalized learning roadmaps

🛠️ Technical Stack

Frontend

• Framework: React.js with TypeScript
• Code Editor: Monaco Editor (VS Code editor)
• Flowchart Visualization: Mermaid.js / D3.js
• UI Framework: TailwindCSS
• State Management: Redux Toolkit

Backend

• Framework: FastAPI (Python)
• AST Parsing: Python AST module for code analysis
• Execution Engine: Sandboxed Python execution
• AI Integration: OpenAI GPT for code explanations
• Authentication: JWT tokens

Database

• Primary: PostgreSQL
• Caching: Redis
• File Storage: AWS S3 (for exports/media)

DevOps

• Containerization: Docker
• Orchestration: Docker Compose (development), Kubernetes (production)
• CI/CD: GitHub Actions
• Deployment: Cloud provider (AWS/GCP/Azure)

📁 Project Structure

PyFlow/
├── frontend/                 # React.js application
│   ├── src/
│   │   ├── components/       # Reusable UI components
│   │   ├── pages/           # Application pages
│   │   ├── hooks/           # Custom React hooks
│   │   ├── services/        # API services
│   │   ├── store/           # Redux store
│   │   ├── utils/           # Utility functions
│   │   └── types/           # TypeScript type definitions
│   ├── public/              # Static assets
│   └── package.json
├── backend/                 # FastAPI application
│   ├── app/
│   │   ├── api/            # API routes
│   │   ├── core/           # Core functionality
│   │   ├── models/         # Database models
│   │   ├── services/       # Business logic
│   │   └── utils/          # Utility functions
│   ├── tests/              # Backend tests
│   └── requirements.txt
├── shared/                 # Shared types and utilities
├── docs/                   # Documentation
├── docker-compose.yml      # Development environment
└── README.md

🚀 Getting Started

Prerequisites

• Node.js (v18+)
• Python (3.9+)
• Docker & Docker Compose
• Git

Quick Start

1. Clone the repository

   git clone <repository-url>
   cd PyFlow

2. Start with Docker Compose

   docker-compose up --build

3. Access the application

   • Frontend: http://localhost:3000
   • Backend API: http://localhost:8000
   • API Documentation: http://localhost:8000/docs

Development Setup

Frontend Development

cd frontend
npm install
npm run dev

Backend Development

cd backend
pip install -r requirements.txt
uvicorn app.main:app --reload --host 0.0.0.0 --port 8000

📋 Development Roadmap

Phase 1: MVP (2-3 months)

• Project setup and architecture
• Basic code editor with syntax highlighting
• Python AST parser for flowchart generation
• Basic flowchart visualization with Mermaid.js
• Step-by-step execution engine
• Variable state tracking
• Error highlighting and basic explanations

Phase 2: Advanced Features (3-4 months)

• AI-powered code explanations
• Drag-and-drop code snippets
• Interactive flowchart nodes
• Code optimization suggestions
• Export functionality (PDF/PNG)
• User authentication and profiles

Phase 3: Community & Learning (4-6 months)

• Gamified coding challenges
• Progress dashboard and analytics
• Sharing and collaboration features
• Mobile-responsive design
• Performance optimizations

🧪 Testing

Frontend Tests

cd frontend
npm run test

Backend Tests

cd backend
pytest

📖 Documentation

• API Documentation
• Frontend Architecture
• Backend Architecture
• Deployment Guide

🤝 Contributing

Please read our Contributing Guide for details on our code of conduct and the process for submitting pull requests.

📄 License

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

🆘 Support

For support and questions, please open an issue in the GitHub repository or contact the development team.

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PyFlow - Making Python learning visual and interactive! 🐍✨