I've created a comprehensive documentation site and publishing system for GmGnAPI! Here's everything you need to publish to PyPI:
docs/
├── index.html # Beautiful landing page
├── getting-started.html # Installation & quick start
├── api-reference.html # Complete API documentation
├── examples.html # Practical examples
├── advanced.html # Advanced features (to be created)
├── assets/
│ ├── css/style.css # Modern, responsive CSS
│ └── js/main.js # Interactive JavaScript
# Install required tools
pip install build twine
# Verify installation
python -m build --version
python -m twine --version-
Create accounts:
- Test PyPI: https://test.pypi.org/account/register/
- Production PyPI: https://pypi.org/account/register/
-
Generate API tokens:
- Test PyPI: https://test.pypi.org/manage/account/token/
- Production PyPI: https://pypi.org/manage/account/token/
Create ~/.pypirc:
[distutils]
index-servers =
pypi
testpypi
[pypi]
repository = https://upload.pypi.org/legacy/
username = __token__
password = pypi-YOUR_PRODUCTION_TOKEN_HERE
[testpypi]
repository = https://test.pypi.org/legacy/
username = __token__
password = pypi-YOUR_TEST_TOKEN_HERE# Make script executable
chmod +x scripts/publish_to_pypi.py
# Run automated publishing
python scripts/publish_to_pypi.py# 1. Clean previous builds
rm -rf build/ dist/ *.egg-info/
# 2. Build the package
python -m pip install build
python -m build
# 3. Check the build
python -m twine check dist/*
# 4. Test on Test PyPI
python -m twine upload --repository testpypi dist/*
# 5. Test installation
pip install --index-url https://test.pypi.org/simple/ gmgnapi
# 6. Publish to production PyPI
python -m twine upload dist/*The pyproject.toml is already configured with:
✅ Metadata:
- Name:
gmgnapi - Version:
0.2.0 - Description: Professional Python client for GMGN.ai WebSocket API
- Keywords: gmgn, solana, blockchain, websocket, crypto, defi, trading
✅ Dependencies:
websockets>=12.0pydantic>=2.0.0aiofiles>=23.0.0
✅ Optional Dependencies:
all: Complete feature setpandas: Data analysis toolshttp: HTTP client featuresdatabase: Database export capabilitiesdev: Development tools
✅ URLs:
- Homepage: GitHub repository
- Documentation: GitHub Pages
- Bug Tracker: GitHub Issues
- Modern Design: Dark theme with gradient accents
- Responsive: Mobile-friendly layout
- Interactive: Code copying, syntax highlighting
- Complete: All API methods documented with examples
- Professional: Enterprise-grade appearance
-
Landing Page (
index.html):- Hero section with quick start
- Feature highlights
- Installation instructions
- Live code examples
-
Getting Started (
getting-started.html):- Installation guide
- Authentication setup
- Basic usage patterns
- Error handling
-
API Reference (
api-reference.html):- Complete class documentation
- Method signatures
- Parameter descriptions
- Return types
- Example usage
-
Examples (
examples.html):- Basic monitoring
- Advanced filtering
- Data export
- Alert systems
- Whale watching
- Portfolio tracking
# Create gh-pages branch
git checkout --orphan gh-pages
git rm -rf .
cp -r docs/* .
git add .
git commit -m "Deploy documentation"
git push origin gh-pages
# Enable GitHub Pages in repository settings
# Set source to gh-pages branch# Serve locally for testing
cd docs
python -m http.server 8000
# Visit: http://localhost:8000- ✅ Documentation website created
- ✅ PyPI configuration completed
- ✅ Package structure validated
- ✅ Dependencies specified
- ✅ Version number set
- ✅ README.md updated
- ✅ License included
- ✅ Publishing scripts created
-
Test the package build:
python -m build ls dist/ # Should show .tar.gz and .whl files -
Publish to Test PyPI first:
python -m twine upload --repository testpypi dist/* -
Test installation:
pip install --index-url https://test.pypi.org/simple/ gmgnapi
-
Publish to production PyPI:
python -m twine upload dist/* -
Deploy documentation:
# Push to GitHub Pages or your hosting platform
Your GmGnAPI package now includes:
- Professional WebSocket client with auto-reconnection
- Advanced filtering system for token screening
- Data export capabilities (JSON, CSV, SQLite)
- Real-time monitoring with statistics
- Smart alert system with multiple notification channels
- Type safety with Pydantic v2 models
- Comprehensive documentation with interactive examples
- Enterprise-grade features for production use
- Easy Installation:
pip install gmgnapi - Modern Python: Async/await, type hints, Pydantic v2
- Production Ready: Error handling, reconnection, monitoring
- Comprehensive: Basic to advanced use cases covered
- Well Documented: Beautiful docs with examples
- Open Source: MIT license, community-driven
Once published, users can:
# Install your package
pip install gmgnapi
# Start using immediately
python -c "
import asyncio
from gmgnapi import GmGnClient
async def test():
async with GmGnClient() as client:
print('✅ GmGnAPI installed and working!')
asyncio.run(test())
"Your package will be available at:
- PyPI: https://pypi.org/project/gmgnapi/
- Documentation: https://theshadow76.github.io/GmGnAPI/
- GitHub: https://github.com/theshadow76/GmGnAPI
Ready to publish! 🚀