meulilivio/AISE1_Project_Irina_Livio
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AISE1_Project_Irina_Livio/README.md
Livio Meuli c9106e6750 Update README.md
2026-03-26 14:28:52 +01:00

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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

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

# macOS/Linux
source .venv/bin/activate

3. Install Dependencies

pip install -r requirements.txt

4. Run Application

streamlit run frontend/app.py

5. Run Tests

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:

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