ogma VS Nest

[1] https://github.com/nasa/ogma

The changelog is available at: https://github.com/nasa/ogma/releases/tag/v1.0.8

https://space-ros.github.io/docs/rolling/Related-Projects/Ogma.html https://github.com/nasa/ogma

For more details, including videos of monitors being generated and flown in simulators, see: https://github.com/nasa/ogma

The student, if selected, will be working on extending our capabilities to test cFS/ROS/FPrime applications, especially those using Ogma and/or Copilot for monitoring. Both Ogma and Copilot are open-source software written in Haskell.

Among others, Copilot has been used at the Safety Critical Avionics Systems Branch of NASA Langley Research Center for monitoring test flights of drones. It also serves as a runtime monitoring backend for the requirements elicitation tool FRET (https://github.com/NASA-SW-VnV/fret/), via Ogma (https://github.com/nasa/ogma).

Understanding these properties can get hard. Using a high level language as opposed to just C is very helpful (we review the code of flight systems with sometimes 4-5 people in the room and it's not trivial at all what it is doing or to show that it is correct). But even streams can sometimes be hard to understand for very complex monitors. We've also built Ogma (https://github.com/nasa/ogma) so that people can write properties in structured natural language, or transform other languages into Copilot (and then C/whatever).

NASA Ogma: generate hard-realtime C runtime monitoring applications\ (0 comments)

When using the NestJS framework, sometimes you may need to change some default timeout. You can define them just like you'd do in a plain Node.js HTTP server like so:

Back: a graphQL server built with Nestjs

NestJS - opinionated more scalable, but harder to learn docs

Pragmatically, we can apply this to a Nest application by creating an Interface for our services, separating the Presenter layer (Controller) from the Use Case (Services):

It’s a text document that contains all the commands a user could call to assemble an image. Let’s check an example of a Dockerfile for a nodejs app in this case it will be a NestJS app and then explain each part.

describe('Create bookmarks', () => { const dto: CreateBookmarkDto = { title: 'NestJS', link: 'https://nestjs.com/', }; it('should create bookmark', () => { return pactum .spec() .post('/bookmarks') .withHeaders({ Authorization: 'Bearer $S{userAt}', }) .withBody(dto) .expectStatus(201) .stores('bookmarkId', 'id')//store the bookmark id in the variable bookmarkId .expectBodyContains(dto.title) .expectBodyContains(dto.link) }); });

In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:

The purpose of this article is to provide a step-by-step guide for implementing authentication system in a NestJS project using the Passport middleware module.

That's exactly where I am. My manager gave me these links, that cover a lot of those words the backend uses, so I can identify what they mean and how to use them. 1. For inspiration and concepts: https://github.com/Sairyss/domain-driven-hexagon 2. Suggested to read the documentation for nest.js. They apply such concepts I don't understand: https://nestjs.com/