isage-examples 0.1.1.20

SAGE Examples - Production application examples for SAGE framework

SAGE Examples

Production-ready application examples for the SAGE framework.

🎯 What is This?

sage-examples showcases production application examples for SAGE:

• 🎯 Examples: Complete, runnable application demonstrations
• 📦 apps Package: Installable application library (published to PyPI as iapps)

� Looking for tutorials? Visit SAGE/tutorials for learning materials.

🚀 Quick Start

# Clone this repository
git clone https://github.com/intellistream/sage-examples.git
cd sage-examples

# Install (all dependencies included)
pip install -e .

# Run an application example
python examples/run_video_intelligence.py

New to SAGE? Start with SAGE/tutorials first.

📁 Repository Structure

sage-examples/
├── examples/                  # 🎯 Production application examples
│   ├── run_video_intelligence.py
│   ├── run_medical_diagnosis.py
│   ├── run_smart_home.py
│   └── ...
│
├── apps/                 # 📦 Installable application package
│   ├── src/sage/apps/         # Application implementations
│   └── tests/                 # Package tests
│
├── docs/                      # 📖 Project documentation
└── pyproject.toml             # Project configuration

📚 Learning vs Examples

Your Goal	Repository
Learn SAGE basics	SAGE/tutorials
See production examples	sage-examples (this repo)
Install applications	pip install iapps

🎯 Application Examples

Complete, runnable applications demonstrating real-world use cases:

Application	Description	Script
🎬 Video Intelligence	Multi-model video analysis	examples/run_video_intelligence.py
🏥 Medical Diagnosis	AI medical image analysis	examples/run_medical_diagnosis.py
🏠 Smart Home	IoT automation system	examples/run_smart_home.py
📰 Article Monitoring	News monitoring pipeline	examples/run_article_monitoring.py
💬 Auto-scaling Chat	Dynamic scaling chat	examples/run_auto_scaling_chat.py
📚 Literature Recommendation	Personalized scientific paper recommendation	examples/run_literature_report_assistant.py
🧭 Patent Landscape Mapper	Patent clustering and whitespace opportunity mapping	examples/run_patent_landscape_mapper.py
🎓 Student Improvement	Stateful learning diagnosis and score improvement MVP	examples/run_student_improvement.py
🚚 Supply Chain Alert	Stateful supply risk detection and dashboard snapshot MVP	examples/run_supply_chain_alert.py
🌐 Supply Chain Alert API	FastAPI service for querying dashboard, alerts, and supplier risk	examples/run_supply_chain_alert_api.py
🎫 Ticket Triage	Stateful customer support ticket classification, urgency scoring, and routing	examples/run_ticket_triage.py
🌐 Ticket Triage API	FastAPI service for triage ingestion, queue queries, and ticket lookup	examples/run_ticket_triage_api.py

The repository also includes the full 53-91 domain app suite across research, education, healthcare, enterprise operations, public service, sustainability, and infrastructure monitoring.

Representative newer entry points include:

• examples/run_patent_competition_monitor.py
• examples/run_campus_aid_gap_alert.py
• examples/run_lab_turnaround_alert.py
• examples/run_policy_search_helper.py
• examples/run_community_hotspot_drift.py
• examples/run_budget_variance_alert.py
• examples/run_carbon_collection.py
• examples/run_data_center_watch.py

See examples/README.md for the complete runnable script index.

📦 Installation

# Clone repository
git clone https://github.com/intellistream/sage-examples.git
cd sage-examples

# Install (all dependencies included by default)
pip install -e .

# Or install from PyPI
pip install isage-examples

# Development mode (includes pytest, ruff, mypy)
pip install -e .[dev]

Note: Following SAGE principles, all application dependencies are installed by default. No need for extra flags like [video] or [medical].

🏗️ SAGE Architecture Overview

SAGE uses a strict 6-layer architecture with unidirectional dependencies:

┌─────────────────────────────────────────────┐
│ L6: Interface                                │  CLI, Web UI, Tools
├─────────────────────────────────────────────┤
│ L5: Applications                             │  Production Apps
├─────────────────────────────────────────────┤
│ L4: Middleware                               │  Domain Operators
├─────────────────────────────────────────────┤
│ L3: Core                                     │  Execution + Algorithms
│     ├─ Kernel (Batch/Stream Engine)         │
│     └─ Libs (RAG/Agents/Algorithms)         │
├─────────────────────────────────────────────┤
│ L2: Platform                                 │  Scheduler, Storage
├─────────────────────────────────────────────┤
│ L1: Foundation                               │  Config, Logging, LLM
└─────────────────────────────────────────────┘

Dependency Rule: Upper layers can depend on lower layers (L6→L5→...→L1), but never the reverse.

🛠️ Development

Setup

# Install development dependencies
pip install -e ".[dev]"

# Install pre-commit hooks
pre-commit install

# Run all checks
pre-commit run --all-files

Code Quality

# Format code
ruff format .

# Lint code
ruff check .

# Auto-fix issues
ruff check --fix .

# Type checking
mypy .

Testing

# Run all tests
pytest

# Run specific tests
pytest examples/test_apps.py
pytest apps/tests/

# With coverage
pytest --cov=. --cov-report=html

See docs/DEVELOPMENT.md for complete development guide.

📖 Documentation

• Examples Guide: examples/README.md - Application examples
• Development Guide: docs/DEVELOPMENT.md - Contributing
• SAGE Tutorials: SAGE/tutorials - Learn SAGE
• SAGE Docs: intellistream.github.io/SAGE

🤝 Contributing

We welcome contributions! Please see:

1. Development Guide: docs/DEVELOPMENT.md
2. Code of Conduct: Follow respectful collaboration
3. Issue Tracker: github.com/intellistream/sage-examples/issues

Adding Examples

1. Tutorials: Add to SAGE/tutorials
2. Applications:
   • Implementation → apps/src/sage/apps/your_app/
   • Entry script → examples/run_your_app.py
3. Tests: Add tests and ensure they pass
4. Dependencies: Update pyproject.toml

🔗 Related Repositories

• SAGE Main: github.com/intellistream/SAGE
• SAGE Benchmark: github.com/intellistream/sage-benchmark
• PyPI Packages: pypi.org/search/?q=isage

📄 License

MIT License - see LICENSE for details.

🙋 Getting Help

• GitHub Issues: Bug reports and feature requests
• GitHub Discussions: Questions and community support
• GitHub Copilot: Use "SAGE Examples Assistant" chat mode

🌟 Star History

If you find this project helpful, please consider giving it a ⭐️!

---

Made with ❤️ by the IntelliStream Team.