# AISE AI Code Editor

AI-Supported Lightweight Code Editor built with Streamlit (AISE501 Spring 2026)

## Project Structure

```
AISE_AIAgent/
├── frontend/                      # Streamlit UI Components
│   ├── __init__.py
│   ├── app.py                    # Main Streamlit application
│   ├── sidebar.py                # File navigation sidebar
│   ├── editor.py                 # Code editor pane
│   └── chat.py                   # Chat interface
│
├── backend/                       # Backend Logic Modules
│   ├── __init__.py
│   └── managers/                 # Business logic managers
│       ├── __init__.py
│       ├── file_manager.py       # File I/O operations
│       ├── chat_manager.py       # AI chat management
│       ├── system_prompter.py    # System prompts & context
│       ├── search_manager.py     # Internet search
│       ├── execution_engine.py   # Code execution
│       └── debug_logger.py       # Logging & debugging
│
├── tests/                         # Unit tests
│   ├── __init__.py
│   ├── test_file_manager.py
│   ├── test_chat_manager.py
│   └── test_execution_engine.py
│
├── .gitignore                     # Git exclusions
├── requirements.txt               # Python dependencies
└── README.md                      # This file
```

## Features

- **File Display & Management**: Browse and edit code files
- **Chat Interface**: AI-powered code assistant
- **Code Execution**: Run Python code with debugging
- **Internet Search**: Fetch documentation and examples
- **System Prompts**: Context-aware AI interactions

## Setup

### 1. Project Clonen

1. In den Zielordner wechseln
cd /pfad/zum/zielordner

2. Repository klonen
git clone https://gitea.fhgr.ch/meulilivio/AISE1_Project.git

3. In das Projekt wechseln
cd AISE1_Project

### 2. Activate Virtual Environment

```bash
# Windows
.\.venv\Scripts\Activate.ps1

# macOS/Linux
source .venv/bin/activate
```

### 3. Install Dependencies

```bash
pip install -r requirements.txt
```

### 4. Run Application

```bash
streamlit run frontend/app.py
```

### 5. Run Tests

```bash
pytest tests/
```

## Architecture

The application follows a frontend-backend split:

- **Frontend**: Streamlit UI components (sidebar, editor, chat)
- **Backend**: Specialized manager modules
  - FileManager: File operations
  - ChatManager: AI interaction
  - SystemPrompter: Prompt management
  - SearchManager: Internet search
  - ExecutionEngine: Code execution
  - DebugLogger: Error handling & logging

## Development

Use Git to track changes:

```bash
git add .
git commit -m "Your message"
git push origin sturcture
```