tsilva-notebook-utils 0.0.124

Utility functions for Jupyter/Colab notebooks

🧰 tsilva-notebook-utils

🔬 Handy utilities for enhancing your Jupyter and Google Colab notebooks

📖 Overview

tsilva-notebook-utils is a collection of utility functions designed to make working with Jupyter and Google Colab notebooks more efficient. It provides tools for video rendering, notification systems, and Colab-specific features like automatic disconnection after idle periods.

🛠️ Usage

Video Rendering

from tsilva_notebook_utils import render_video

# Render a simple video from frames
frames = [frame1, frame2, frame3]  # List of numpy arrays
video = render_video(frames, fps=30, scale=1.5)
display(video)

# Render frames with labels
labeled_frames = [(frame1, "Start"), (frame2, "Middle"), (frame3, "End")]
video = render_video(labeled_frames, fps=24)
display(video)

# Compare multiple videos side by side
from tsilva_notebook_utils import render_videos
render_videos([(video1_frames, "Original"), (video2_frames, "Processed")])

Google Colab Utilities

from tsilva_notebook_utils import disconnect_after_timeout

# Automatically disconnect Colab after 5 minutes of inactivity
disconnect_after_timeout(timeout_seconds=300)

Notifications

Send notifications to PopDesk notification server:

from tsilva_notebook_utils import send_popdesk_notification

# Send a notification when your long-running notebook task completes
send_popdesk_notification(
    url="https://your-popdesk-url",
    auth_token="your-auth-token",
    title="Training Complete",
    message="Your model has finished training with 95% accuracy"
)

� Development & Releases

Development Setup

# Clone the repository
git clone https://github.com/tsilva/tsilva-notebook-utils.git
cd tsilva-notebook-utils

# Install in development mode
pip install -e .

# Run tests
python -m pytest tests/

Version Management

This project uses automated version bumping with bump2version. Version numbers are automatically updated across all relevant files.

Local Version Bumping

Use the provided scripts for local development:

# Bump patch version (0.0.115 → 0.0.118)
make bump-patch
# or
python bump_version.py patch

# Bump minor version (0.0.115 → 0.1.0)
make bump-minor
# or
python bump_version.py minor

# Bump major version (0.0.115 → 1.0.0)
make bump-major
# or
python bump_version.py major

Automated Releases

🎯 Recommended: GitHub Actions Release Workflow

1. Go to the GitHub Actions tab
2. Select "Release and Publish" workflow
3. Click "Run workflow"
4. Choose your release type:
   • patch: Bug fixes (0.0.115 → 0.0.118)
   • minor: New features (0.0.115 → 0.1.0)
   • major: Breaking changes (0.0.115 → 1.0.0)
   • prerelease: Beta versions (0.0.115 → 0.0.118-alpha.1)
5. Click "Run workflow"

What happens automatically:

• ✅ Version bumped in pyproject.toml and __init__.py
• ✅ Git commit created with version bump message
• ✅ Git tag created (e.g., v0.0.118)
• ✅ Package built and published to PyPI
• ✅ GitHub release created with release notes

Manual Release Process

If you prefer manual control:

# 1. Bump version locally
make bump-patch  # or bump-minor, bump-major

# 2. Build the package
make build

# 3. Publish to PyPI (requires PYPI_API_TOKEN)
make publish

Release Notes

Recent releases can be found on the Releases page.

Version History

• v0.0.115: Current version with automated release workflow
• v0.0.114: Previous stable version

Contributing

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

🧪 Testing

Running Tests Locally

# Install test dependencies
pip install -e .[test]

# Run all tests with coverage
./run_tests.sh

# Or use pytest directly
pytest tests/ --cov=tsilva_notebook_utils --cov-report=term-missing -v

# Run specific test file
pytest tests/test_gymnasium.py -v

# Run tests for specific class
pytest tests/test_gymnasium.py::TestSyncRolloutCollector -v

Test Structure

The test suite includes:

• Unit tests for individual functions and classes
• Integration tests for complex workflows
• Coverage reporting to ensure code quality
• Linting checks with flake8, black, and isort

Tests are automatically run on:

• Every push to main and develop branches
• Every pull request
• Multiple Python versions (3.9, 3.10, 3.11, 3.12)

Available Make Commands

make help          # Show all available commands
make install       # Install package in development mode
make test          # Run tests
make bump-patch    # Bump patch version
make bump-minor    # Bump minor version
make bump-major    # Bump major version
make build         # Build the package
make publish       # Build and publish to PyPI
make clean         # Clean build artifacts

�📄 License

This project is licensed under the MIT License.