databricks-industrial-automation-suite 0.0.3

A comprehensive library designed to support all major industrial automation protocols within the Databricks ecosystem.

Databricks Industrial Automation Suite (Databricks Free Edition Hackathon)

Overview

The Databricks Industrial Automation Suite is a comprehensive library designed to support all major industrial automation protocols within the Databricks ecosystem. It enables seamless integration, data exchange, and control across diverse industrial systems, helping enterprises unify and modernize their operational technology (OT) and IT workflows.

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Supported Protocols

Protocol	Status
OPC UA	✅ Supported
Matter	⬜ Planned
Modbus TCP	⬜ In Progress
HART Communication Protocol	⬜ Planned
MQTT	⬜ Planned

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Getting Started

Installation (User Mode)

To install the published package:

%pip install databricks-industrial-automation-suite

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Development Setup (Build & Install Locally)

If you want to develop, test, or contribute to the project locally, follow these steps:

Clone the repository

git clone https://github.com/yourusername/databricks-industrial-automation-suite.git
cd databricks-industrial-automation-suite

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Install dependencies using Poetry

If you use Poetry (recommended):

poetry install

This creates a virtual environment and installs all dependencies automatically.

To enter that environment:

poetry shell

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Build the package

poetry build

This generates distributable files under dist/:

dist/
 ├── databricks_industrial_automation_suite-0.1.0.tar.gz
 └── databricks_industrial_automation_suite-0.1.0-py3-none-any.whl

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Install the built package locally

Option 1 — Install from wheel:

pip install dist/databricks_industrial_automation_suite-0.1.0-py3-none-any.whl

Option 2 — Editable install for live code updates:

pip install -e .

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Test the installation

Try importing the library or running example scripts:

python
>>> from databricks_industrial_automation_suite.integrations.opcua import OPCUAClient
>>> print("Library loaded successfully!")

Or execute one of the included examples:

python examples/browse_child_nodes.py

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Rebuild cleanly (optional)

If you need a fresh build:

rm -rf dist build *.egg-info
poetry build

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(Optional) Local virtual environment test

You can also test the install in a clean environment:

python3 -m venv .venv
source .venv/bin/activate
pip install dist/*.whl

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Usage Highlights

• Native OPC UA client connection support (streaming, browsing, and security).
• Modular, extensible architecture for upcoming industrial protocols.
• Designed for scalability, observability, and Databricks integration.

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Contribution

This suite is under active development. We welcome contributions of:

• New protocol integrations
• Documentation improvements
• Bug fixes or performance enhancements

Please open issues or pull requests on the GitHub repository.

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Additional Resources

• Certificate Management: Use tools like XCA to manage secure client certificates.

• Testing: You can run an OPC UA demo server locally via Docker:

  docker run -d -p 4840:4840 ghcr.io/falk-werner/opcua-server:latest