qm2 1.1.0

CLI-based quiz maker application with categories and import/export support.

Quiz Maker 2 (QM2) - Interactive Terminal Quiz Application

Overview

Quiz Maker 2 (QM2) is a robust, interactive terminal-based quiz engine built with Python. Designed for developers and power users, it now features AI-powered quiz generation, allowing you to create comprehensive study materials in seconds using Google's Gemini AI. It features a modern UI, extensive import/export capabilities, and a high-performance core.

Key Features

• AI Quiz Generation: Instantly generate quizzes on any topic using Google Gemini
• 4 Question Types: Multiple Choice, True/False, Fill-in-the-blank, Matching
• Timed Quiz Sessions: Customizable timeout settings with real-time feedback
• Flashcards Mode: Study mode for reviewing questions without scoring
• Score Tracking: Comprehensive statistics and performance analytics
• Category Management: Organize questions into hierarchical categories
• Import/Export: Convert between CSV and JSON formats
• Remote Import: Download quiz files directly from URLs
• Rich Terminal UI: Beautiful, colored interface using Rich library
• Performance Optimized: Caching system for large question sets
• Cross-Platform: Works on Windows, macOS, and Linux

Quick Start

pip install qm2

qm2

Or install from source:

git clone https://github.com/ahalvadzija/qm2.git
cd qm2
pip install -e .

To use AI features, set your API key and run:

export GEMINI_API_KEY="your_key_here"
qm2

Screenshots

Quiz Features

Tools & Help

Installation

From PyPI (Recommended)

pip install qm2

From Source

git clone https://github.com/ahalvadzija/qm2.git
cd qm2
pip install -e .

Development Installation

git clone https://github.com/ahalvadzija/qm2.git
cd qm2
pip install -e ".[dev]"

Docker Installation (Alternative)

If you prefer to run QM2 in an isolated environment without installing Python locally:

1. Build the image:

   docker build -t qm2 .
   

Run the application: Since QM2 is interactive, you must use the -it flags:

docker run -it qm2

Persist your data: To keep your quiz data and scores after the container stops, mount a local directory: Bash

docker run -it -v qm2_data:/root/.local/share/qm2 qm2

Usage

Basic Usage

# Start the application
qm2

# Or if installed from source
python -m qm2

Command Line Options

# Show help
qm2 --help

# Show version
qm2 --version

Features in Detail

Question Types

1. Multiple Choice: Question + correct answer + 3 wrong answers
2. True/False: Statement + boolean answer
3. Fill-in-the-blank: Question with blank + correct answer
4. Matching: Items to match with correct pairs

Category Management

• Create hierarchical categories (e.g., programming/python/basics)
• Rename and delete categories
• Automatic directory structure creation

Import/Export Capabilities

• CSV ↔ JSON: Bidirectional conversion
• Template Generation: Create starter templates
• Remote Import: Download from URLs
• Bulk Operations: Manage multiple files efficiently

Performance Features

• Caching System: Optimized for large question sets
• Memory Management: Automatic cache cleanup
• Fast Loading: Sub-second load times for thousands of questions

AI Generation Support

QM2 integrates with Google Gemini to automate quiz creation. You can generate professional-grade questions by simply providing a topic.

Setup

1. Get a free API key from Google AI Studio.
2. Export it to your environment:
   • Linux/macOS: export GEMINI_API_KEY='...'
   • Windows (CMD): set GEMINI_API_KEY=...
   • Windows (PowerShell): $env:GEMINI_API_KEY='...'

AI Features

• Smart Retries: Automatic fallback between models (Gemini 2.0 Flash -> 1.5 Flash -> 1.5 Pro) if one is unavailable.
• Rate Limit Handling: Built-in exponential backoff to handle API quotas gracefully.
• Topic-to-Quiz: Generates all 4 question types (including complex Matching) with high accuracy.

Project Structure

qm2/
├── src/qm2/                # Core application package
│   ├── core/               # Business logic (engine, questions, scores)
│   ├── ui/                 # Rich terminal user interface
│   ├── utils/              # File I/O and helper utilities
│   └── __main__.py         # CLI entry point
├── tests/                  # Extensive test suite (tests)
│   ├── test_engine.py      # Core logic benchmarks
│   ├── test_performance.py # Speed & stress tests
│   └── ...                 # App, UI, and integration tests
├── docs/                   # MkDocs documentation source
│   ├── index.md            # Homepage
│   ├── guide.md            # User guide
│   └── reference.md        # Technical reference
├── examples/               # Sample JSON/CSV question sets
├── Dockerfile              # Docker container configuration
├── .dockerignore           # Docker build exclusions
├── mkdocs.yml              # Documentation site configuration
├── pyproject.toml          # Build system and dependencies
├── requirements.txt        # Development dependencies
└── README.md               # Project overview and quick start

Quality Assurance & Performance

Reliability is at the heart of QM2. The project maintains an 86% coverage rate backed by a massive suite of individual tests. CI/CD pipeline ensures that every release is battle-tested.

Test Coverage Breakdown

• App & UI (95+ tests): Comprehensive navigation testing including brute force menu traversal and submenu logic.
• Engine & Core (45+ tests): Validation of all question types, session handling, and flashcards mode.
• Validation & Security (40+ tests): Deep CSV/JSON schema validation and safe remote file importing.
• Data & IO (35+ tests): Cross-platform path handling, concurrent file access, and encoding resilience.
• Performance (12+ tests): Stress testing with large datasets and cache optimization benchmarks.

Performance Benchmarks

QM2 is engineered for high-speed interactions and efficient resource management, verified by a dedicated performance suite:

• Benchmarked Speed: Processes 1,000+ questions in < 1 second, ensuring no lag during large quiz sessions.
• Intelligent Caching: Implements a caching layer that makes subsequent data loads 10x faster.
• Memory Efficiency: Automatic cache cleanup prevents memory leaks during long-running sessions.
• Thread Safety: Verified safe concurrent file access, preventing data corruption during simultaneous read/write operations.

Performance Testing (tests/test_performance.py)

• Execution: 12 specialized performance tests passed in 2.11s.
• Coverage focus: Validated core/engine.py and utils/files.py for speed bottlenecks.

Core Engine Testing (tests/test_engine.py)

• Execution: 23 core logic tests passed in 1.34s.
• Coverage: High coverage (68%) of src/qm2/core/engine.py, ensuring question logic and scoring are flawless.

How to Run Tests

# Run all tests
pytest

# Run with coverage
pytest --cov=qm2

# Run specific test categories
pytest tests/test_engine.py    # Core engine tests
pytest tests/test_questions.py # Question management tests
pytest tests/test_files.py     # File operations tests
pytest tests/test_scores.py    # Score tracking tests
pytest tests/test_performance.py # Performance tests

Configuration

QM2 uses platformdirs for cross-platform data storage:

• Linux: ~/.local/share/qm2/
• macOS: ~/Library/Application Support/qm2/
• Windows: %APPDATA%\qm2\

Environment Variables

# Custom data directory
export QM2_DATA_DIR="/path/to/custom/data"

# Disable colors
export NO_COLOR=1

Question Format

JSON Format

[
    {
        "type": "multiple",
        "question": "What is the capital of France?",
        "correct": "Paris",
        "wrong_answers": ["Rome", "Berlin", "Madrid"]
    },
    {
        "type": "truefalse",
        "question": "Python is a programming language.",
        "correct": "True",
        "wrong_answers": ["False"]
    },
    {
        "type": "fillin",
        "question": "The capital of Japan is ______.",
        "correct": "Tokyo",
        "wrong_answers": []
    },
    {
        "type": "match",
        "question": "Match programming languages with their types",
        "pairs": {
            "left": ["Python", "JavaScript", "C++"],
            "right": ["Interpreted", "Web scripting", "Compiled"],
            "answers": { "a": "1", "b": "2", "c": "3" }
        }
    }
]

CSV Format

type,question,correct,wrong_answers,left,right,answers
multiple,What is the capital of France?,Paris,"Rome,Berlin,Madrid",,,
truefalse,The Sun is a star.,True,False,,,
fillin,The capital of Japan is ______.,Tokyo,,,,
match,Match technologies,,,Python|HTML,Programming language|Markup language,"a:1,b:2"

Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Development Setup

git clone https://github.com/ahalvadzija/qm2.git
cd qm2
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -e ".[dev]"

Running Tests

pytest tests/ -v
pytest --cov=qm2 tests/

Code Style

black src/ tests/
isort src/ tests/
flake8 src/ tests/

License

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

💖 Acknowledgments

QM2 wouldn't be as beautiful or interactive without these amazing open-source projects:

• Rich – Powering the sleek terminal visuals, tables, and progress feedback.
• Questionary – Providing the intuitive, user-friendly interactive prompts.

Support

• Email: [e-mail]
• Issues: GitHub Issues

Links

• PyPI: https://pypi.org/project/qm2/
• GitHub: https://github.com/ahalvadzija/qm2
• Documentation: https://ahalvadzija.github.io/qm2

---

Created by: Adnan Halvadžija

⭐ If you find this project useful, please give it a star on GitHub!