v1.1.1

Maintenance release.

• Requires Python 3.10+ (3.9 is past end-of-life)
• Dark mode: rendered-output pane stays paper-white so template output is always readable
• Package metadata cleanup

v1.1.0

First PyPI release of Velocity Template Previewer.

Highlights

• Desktop app for previewing and rendering Apache Velocity templates (PyQt5)
• Real-time syntax highlighting for Velocity and JSON, validation, HTML export
• Background-threaded rendering, auto-save, recent files, dark mode

Since 1.0

• Full pytest suite (34 tests) and strict mypy type checking, enforced in CI on Linux/macOS/Windows
• Codebase reorganized into focused modules (renderer, styles, utils)
• Install with: pip install velocity-previewer

v1.0.2 - Security and Stability Improvements

Security and stability improvements:

• Fix XSS vulnerability in HTML export
• Fix thread safety and memory leak issues
• Extract magic numbers to constants
• Improve type hints and error handling
• Streamline README documentation

🚀 Release v1.0.1 - Bugfix Release

🚀 Release v1.0.1 - Bugfix Release

📅 Release Date

December 2024

🎯 What's New

This release focuses on improving code quality and fixing CI/CD pipeline issues to ensure reliable builds across all platforms.

✅ Bug Fixes

• Fixed Black code formatting issues - All Python files now comply with Black formatting standards
• Resolved flake8 linting errors - Removed unused QStatusBar import from main.py
• Fixed Windows CI Unicode encoding errors - Replaced Unicode characters (✓, ❌, 🎉) with ASCII alternatives in test output for better Windows console compatibility
• Fixed HTML export test failure - Added missing "Velocity Template Previewer" app name to HTML export metadata

🔧 Technical Improvements

• Enhanced CI/CD reliability - All GitHub Actions now pass consistently across Linux, macOS, and Windows
• Improved test output compatibility - Test messages now work correctly in all terminal environments
• Better code quality - Cleaner, more maintainable codebase with proper formatting

🧪 Testing

• All functionality tests pass
• Black formatting check passes
• Flake8 linting passes
• Cross-platform compatibility verified

📦 Installation

# Using pip
pip install vm-visualizer==1.0.1

# Or clone and install
git clone https://github.com/star7js/vm-visualizer.git
cd vm-visualizer
git checkout v1.0.1
pip install -e .

🔗 Links

• GitHub Repository: https://github.com/star7js/vm-visualizer
• Previous Release: v0.1.0

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Note: This is a bugfix release that maintains full backward compatibility with v1.0.0. No breaking changes were introduced.