Python Test Case Generator

A web application that analyzes Python code, generates test cases, and provides code quality insights.

Features

1. Code Analysis

• Automatic function detection
• Type hint analysis
• Complexity metrics calculation
• Code quality suggestions
• Best practice recommendations

2. Test Case Generation

• Generates edge cases based on type hints
• Supports multiple test categories:
  • Boundary cases
  • Edge cases
  • Error cases
• Export tests in different formats (pytest/unittest)

3. User Interface

• Interactive code editor with syntax highlighting
• Dark/Light theme toggle
• Split view layout
• Collapsible test case sections
• Copy-to-clipboard functionality
• Test case filtering by category

Project Structure

python_test_generator/
├── app.py                 # Main Flask application
├── templates/
│   └── index.html        # Main HTML template
├── static/
│   ├── css/
│   │   └── style.css     # Custom styles
│   └── js/
│       └── main.js       # Frontend functionality
└── requirements.txt      # Project dependencies

Installation

1. Clone the repository

git clone
cd python_test_generator

2. Create and activate virtual environment

python -m venv venv

# Windows
venv\Scripts\activate

# Unix/MacOS
source venv/bin/activate

3. Install dependencies

pip install -r requirements.txt

Running the Application

1. Start the Flask server

python app.py

2. Open your browser and navigate to http://localhost:5000

Code Examples

Example Input

def calculate_discount(price: int, discount_percentage: int) -> float:
    if discount_percentage < 0 or discount_percentage > 100:
        raise ValueError("Discount percentage must be between 0 and 100")
    return price * (1 - discount_percentage / 100)

Generated Test Cases

def test_calculate_discount_boundary():
    try:
        result = calculate_discount(0, discount_percentage)
        assert result is not None
    except Exception as e:
        pass

def test_calculate_discount_edge():
    try:
        result = calculate_discount(-1, discount_percentage)
        assert result is not None
    except Exception as e:
        pass

Dependencies

• Flask==3.0.0
• radon==3.2.6

Features in Detail

Code Analysis

• Function detection using Python's AST
• Type hint analysis for parameters and return types
• Cyclomatic complexity calculation
• Code quality suggestions including:
  • Missing docstrings
  • Missing type hints
  • Function complexity warnings

Test Case Generation

• Generates test cases based on parameter types
• Supports different test categories
• Handles edge cases for common data types:
  • Integers (0, -1, MAX_INT)
  • Strings (empty, very long, special characters)
  • Lists (empty, large, None values)

UI Features

• Syntax highlighting using CodeMirror
• Real-time code analysis
• Theme switching (light/dark)
• Test case organization and filtering
• Export functionality