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System Model DevOps with OML Vision

Aaron Levitt

Software Systems Engineer - 319K

System Modeling and Methodology Group

aaron.levitt@jpl.nasa.gov

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January 31, 2024

Government sponsorship acknowledged

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Disclaimer

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Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not constitute or imply its endorsement by the United States Government or the Jet Propulsion Laboratory, California Institute of Technology.

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Agenda

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  1. What Is It?
  2. Why Should I Care?
  3. Get Started
  4. Demo
  5. Next Steps

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What Is It?

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Ontological Modeling Language (OML) Workbench

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  • openCAESAR product
  • Next generation tool for authoring and analyzing OML models
  • Supports an agile DevOps approach to system modeling and analysis

https://www.opencaesar.io/

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Visual Studio Code Extension (VSCode)

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  • Built using React and Typescript
  • Can be accessed through a web or desktop version of VSCode
  • Improved Collaboration
  • Enhanced Model maintainability throughout the lifecycle of the project

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Why Should I Care?

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Easy To Use And Learn

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  • Designed with ease of use in mind for all members of project team
  • Easier transition from document based tools to Model Based Systems Engineering (MBSE)

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Declarative Programming

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  • Specify and define
    • Viewpoints
    • Database Endpoints
    • Scripts
    • SPARQL queries/ updates
    • Etc.

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Get Started

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Software Dependencies

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  • VSCode
  • Git
  • NodeJS 18+
  • Yarn
  • Java 17+

Read detailed guide below

https://www.opencaesar.io/oml-vision-docs/docs/intro/

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OML Model (Start from Scratch) Dependency

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  • Start from Scratch

Read detailed guide below

https://www.opencaesar.io/oml-tutorials/

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OML Model (Use Existing Model) Dependency

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  • Use Existing OML model

Read detailed guide below

https://www.opencaesar.io/oml-vision-docs/docs/intro/

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Demo

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Next Steps

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Saving and Editing OML Model

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  1. Persist OML Vision edits to memory/storage
    1. OWL2OML capability to persist OML edits to memory/storage
  2. Minimal capability for editing OML descriptions
    • Run Fuseki reasoner on initial loading
  3. Full capability for editing
    • Pellet incremental reasoning

Current workaround is to use OML Luxor or Rosetta to edit OML models and persist changes.

Look at OML Model (Start from Scratch) Dependency slide for more info

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OML Vision Extension DevOps

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  1. Source/Entry Point
    1. git push from Local or Cloud hosted workspace
  2. Build
    • esbuild
      1. Compile TS -> JS
    • Build VSIX file for OML Vision Extension
  3. Test Code
    • Use Jest (or any other JS testing framework like Mocha)
  4. Deploy to staging
    • QA
  5. Deploy to production
    • VSCode Marketplace

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New Issues

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  • Feature Requests
  • Reporting Bugs

https://github.com/opencaesar/oml-vision/issues/new/choose

IMPORTANT:

You will need to make a Github account

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Changelog

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  • Details what has been
    • Fixed
    • Added
    • Deleted

OpenCAESAR OML Vision Blog

https://www.opencaesar.io/oml-vision-docs/changelog

Github Changelog

https://github.com/opencaesar/oml-vision/blob/master/CHANGELOG.md

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Thanks

Any questions?

aaron.levitt@jpl.nasa.gov

https://www.linkedin.com/in/aaron-levitt-91534620a

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Aaron Levitt

jpl.nasa.gov

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