# idea41-monoidalscheduler-category-theoretic

This repository provides a production-ready skeleton for a modular, end-to-end real-time scheduler for industrial IoT environments using category-theoretic abstractions.

- DSL to declare resources and constraints as Objects and Morphisms
- Monoidal composition primitives (tensor and sequential wiring)
- A toy optimization backend that reduces to convex/MIQP problems where applicable
- Prototyping adapters for sensors and actuators with TLS-based communication
- Real-time bounding guarantees, worst-case analysis scaffolding

This is a complete Python package (PEP 621 compliant) that can be installed locally via
```
pip install -e .
```

See AGENTS.md for architecture and testing instructions.