A focused tool for collecting and organizing Actor Light Fixture control information in a clean, developer-friendly format. It helps teams work with light fixture configuration and control data more efficiently, without manual digging or guesswork.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project gathers and structures data related to Actor Light Fixture control and configuration. It solves the problem of scattered or hard-to-reuse lighting control data by turning it into a predictable, reusable format. It’s built for developers, integrators, and product teams working with branded or logo-based lighting systems.
- Centralizes light fixture control details in one place
- Designed for automation and repeatable data workflows
- Easy to integrate into existing lighting or control systems
- Keeps data consistent and ready for downstream use
| Feature | Description |
|---|---|
| Structured data output | Converts raw control details into a predictable schema. |
| Configurable inputs | Supports flexible configuration for different fixture setups. |
| Developer-friendly | Simple structure that fits cleanly into modern codebases. |
| Extensible design | Easy to adapt for additional lighting control features. |
| Field Name | Field Description |
|---|---|
| fixtureName | Name or identifier of the light fixture. |
| logoType | Type or style of logo used in the fixture. |
| controlMode | How the fixture is controlled (manual, digital, automated). |
| brightnessLevel | Configured brightness or intensity value. |
| colorProfile | Color or lighting profile applied to the fixture. |
| status | Current operational state of the fixture. |
Actor Light Fixture/
├── src/
│ ├── index.js
│ ├── controllers/
│ │ └── fixtureController.js
│ ├── parsers/
│ │ └── fixtureParser.js
│ ├── utils/
│ │ └── validators.js
│ └── config/
│ └── settings.example.json
├── data/
│ ├── input.sample.json
│ └── output.sample.json
├── package.json
└── README.md
- Lighting engineers use it to standardize fixture control data, so they can deploy setups faster and with fewer errors.
- Product teams use it to analyze logo light configurations, helping them maintain brand consistency.
- System integrators use it to feed clean data into automation systems, reducing manual configuration work.
- Developers use it to prototype lighting control features without rebuilding data models from scratch.
Can this handle different types of light fixtures? Yes. The structure is flexible and can be extended to support various fixture types and control modes.
Is this suitable for production systems? It’s designed with real-world usage in mind and fits well into production workflows when paired with proper validation.
Do I need advanced setup to use it? No. A basic Node.js environment is enough to get started, and configuration is kept intentionally simple.
Primary Metric: Processes fixture control records with an average throughput of hundreds of entries per second in local environments.
Reliability Metric: Consistently maintains a high success rate when handling well-formed input data.
Efficiency Metric: Lightweight execution with low memory overhead, suitable for continuous runs.
Quality Metric: Outputs complete, normalized records with consistent field coverage across runs.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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