qrcodex 0.1.1

An advanced QR code generator with multiple data type support

QRCodeX - Advanced QR Code Generator

A modern Python library for generating QR codes with support for multiple data types, custom styling, and various output formats.

Features

• Multiple data types support:
  • Text (auto-detects numeric and alphanumeric modes)
  • URLs (auto-detected)
  • Images (PNG, JPEG, etc. converted to data URIs)
  • Binary data (automatically encoded)
• Custom styling:
  • Custom colors (hex, RGB, named colors)
  • Adjustable size and border
  • Error correction levels (L, M, Q, H)
• Multiple output formats:
  • PNG (with transparency support)
  • SVG (scalable vector graphics)
  • PDF (coming soon)
• Modern Python features:
  • Type hints for better IDE support
  • Path handling with pathlib
  • Comprehensive error handling
  • CLI interface (coming soon)

Installation

From PyPI

pip install qrcodex

From Source

git clone https://github.com/GamingOP69/qrcodex.git
cd qrcodex
pip install -e .

Development Installation

git clone https://github.com/GamingOP69/qrcodex.git
cd qrcodex
pip install -r requirements.dev.txt
pip install -e .

Usage

Basic Usage

from qrcodex import QRCodeX

# Create a simple text QR code
qr = QRCodeX()
qr.add_data("Hello, World!")
qr.generate("output.png")

# Create a URL QR code (automatically detected)
qr = QRCodeX()
qr.add_data("https://example.com")  # Automatically detected as URL
qr.generate("url.png")

Advanced Usage

from qrcodex import QRCodeX
from pathlib import Path

# Create a QR code with custom settings
qr = QRCodeX(
    error_correction='H',    # Highest error correction
    box_size=10,            # Pixel size of each module
    border=4,               # Border size
    version=None           # Auto version selection
)

# Add multiple types of data
qr.add_data("https://example.com", data_type='url')
qr.add_data(Path("image.png"), data_type='image')
qr.add_data(bytes([0x00, 0xFF]), data_type='binary')

# Generate with custom colors
qr.generate(
    "output.svg",
    fill_color="#FF0000",    # Red QR code
    back_color="white",      # White background
    format="svg"            # SVG output
)

Error Correction Levels

• L (Low) - 7% of data can be restored
• M (Medium) - 15% of data can be restored
• Q (Quartile) - 25% of data can be restored
• H (High) - 30% of data can be restored

# High error correction for better reliability
qr = QRCodeX(error_correction='H')
qr.add_data("Important data")
qr.generate("reliable.png")

Image QR Codes

from qrcodex import QRCodeX
from pathlib import Path

# Convert image to QR code
qr = QRCodeX(error_correction='M')
qr.add_data(Path("logo.png"), data_type='image')
qr.generate("image_qr.png")

# Use existing data URI
data_uri = "data:image/png;base64,..."
qr.add_data(data_uri, data_type='image')
qr.generate("uri_qr.png")

Binary Data

# Create QR code with binary data
binary_data = bytes([0x00, 0xFF, 0xAA, 0x55])
qr = QRCodeX()
qr.add_data(binary_data, data_type='binary')
qr.generate("binary.png")

Development

Setup Development Environment

1. Clone the repository:

git clone https://github.com/GamingOP69/qrcodex.git
cd qrcodex

2. Create a virtual environment:

python -m venv venv
source venv/bin/activate  # Linux/macOS
venv\Scripts\activate     # Windows

3. Install development dependencies:

pip install -r requirements.dev.txt

Running Tests

# Run all tests
pytest

# Run with coverage report
pytest --cov=qrcodex

# Run specific test file
pytest tests/test_generator.py

Code Style

The project uses:

• black for code formatting
• isort for import sorting
• flake8 for linting
• mypy for type checking

Run all checks:

black .
isort .
flake8 .
mypy src/qrcodex

Building

# Build distribution packages
python -m build

# Install locally for testing
pip install -e .

License

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

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Make your changes
4. Run the tests (pytest)
5. Commit your changes (git commit -m 'Add amazing feature')
6. Push to your branch (git push origin feature/amazing-feature)
7. Open a Pull Request

Support

If you encounter any issues or have questions:

1. Check the documentation
2. Open an issue
3. Contact the maintainers