orval VS moonfire-nvr

In cases where the client needs to stay separate, we have had a good experience with Orval[1] to generate a fully-typed @tanstack/query client from our OpenAPI spec.

[1] https://orval.dev/

- Vite/React/Tailwind for the frontend, with [Orval](https://orval.dev/) to generate FE definitions based on the API spec.

For non-API/SPA use-cases, it also has good HTML support, with built-in Jinja and HTMX integrations. The docs are great (https://docs.litestar.dev/latest/ - not quite Django-tier but that's the gold standard), however the reference application is a tad too complex imo (https://github.com/litestar-org/litestar-fullstack).

https://github.com/litestar-org/awesome-litestar has a list of useful extensions - highly recommend trying it out if you are starting a new Python web project.

In order to generate the API client, there are a few options available, but we are going to use (Orval)[https://orval.dev]. Orval is a CLI tool that generates API clients based on an OpenAPI specification. It supports TypeScript, JavaScript, Axios, React, Vue, Angular and Svelte and it's highly customizable.

I would use "reveal": "never" if I don't care about the results of the command, for example, I generate swagger types using orval.dev on every folder open, but I want this to run in background as it's not that important, so I use "reveal": "never" for it.

we started using (and now contributing to) https://orval.dev/ this year which both generates the mocks using MSW as well as the client-side networking code (React Query in our case). It removes so much boilerplate its amazing.

wrote up the basics of our workflow few weeks ago https://betaacid.co/blog/api-contracts

Personally, find gRPC-Web very attractive but the current state of TypeScript/JS code-gen is very confusing and lacking.

I would love something like https://orval.dev for gRPC-web. Have I missed something or is it just early to expect it?

I tried a few libraries but couldn't get them to work or would generate unappealing results. I believe I'm hitting this issue with my local experiments. https://github.com/grpc/grpc-web/issues/535

This is a Library I've used in the past, https://github.com/anymaniax/orval

If you have OpenAPI specs to work with you could also use Orval (https://orval.dev/) to generate a lot of code. We’re just starting to evaluate it at work but so far the team that’s trialing it is liking it.

On the frontend we can use the OpenAPI docs to generate the TS types for our data structures. Not only types but fetch functions as well as react-query hook can be generated as well. And in this blog post you can see how to do that with a library called Orval.

On this page, we’ll use a code generator called Orval.

How do folks test timing-related stuff with MSW? AFAIK, MSW doesn't get along with jest.useFakeTimers. It drives me nuts; I have a bunch of disabled tests in an open-source project and at least one that is flaky because it uses real timers where I'd like to be using fake timers. [1, 2]

I've been thinking about ripping out MSW from my tests in favor of my own API-level mock for this reason. But it seems like many other folks are happy with MSW. I have to assume there's something I'm not getting. I'm a fish out of water with frontend stuff in general...

[1] https://github.com/scottlamb/moonfire-nvr/blob/5ea5d27908f1a...

[2] https://github.com/scottlamb/moonfire-nvr/blob/5ea5d27908f1a...

> I wonder how hard it would be to run your own streamer pipeline or whatnot on these things?

Agree with the_biot: The actual streaming component is not too hard. If this were the biggest problem, I'd be thrilled to contribute to an open source streaming server to complement my open source NVR. [1] The driver situation is indeed a bit harder—these things don't just have mainline Linux support with v4l2 for the video input and encoder. Or open source drivers of any kind to crib from AFAIK.

The biggest problem IMHO is that there just aren't any good cameras to buy, even completely ignoring the software aspect. I want a camera that:

1. doesn't support genocide. Nothing that involves Dahua, Hikvision, or Huawei. See IPVM articles on the subject. And a lot of available cameras are relabeled Dahua/Hikvision stuff and/or use Huawei components.

2. is legal for sale / authorized for use in the US. (See the Secure Equipment Act of 2021.)

3. has good night mode performance: IR/day switch, a sensor that is at least 1/1.8", reasonable resolution (somewhere from HD to 4k).

4. has an "eyeball" or "turret" form factor rather than "bullet". The latter seems to really attract spiders, so you end up with a really nice video of a web...

5. supports PoE.

6. is weatherized (IP66 or so).

7. is reasonably priced.

If you ignore #1 and #2, there's some nice hardware out there, but I'm not willing to do that. If you ignore #3, there are a few options (GeoVision, maybe Reolink, maybe Hanwha.) If you ignore #4 and #7, there might be a couple (Axis, maybe Hanwha.) Nothing that ticks all the boxes.

Hard to get excited about investing a lot in the software when the hardware isn't there.

[1] https://github.com/scottlamb/moonfire-nvr

saw one nvr project in rust - https://github.com/scottlamb/moonfire-nvr - maybe you can find answer there

Moonfire NVR does basically that. No decoding at all. The configuration process could be smoother, but there's a decent setup guide to follow.

This is exactly what you're looking for: https://github.com/scottlamb/moonfire-nvr

But I would definitely avoid compiling Rust on the Raspberry Pi 3 if you can avoid it. I set up a Docker cross-compile environment for this reason.

Moonfire may be what you're looking for otherwise.

That last bit's not quite true: another option is to just use the cameras as a dumb stream source and do all the fanciness in an open source NVR. I've been slowly working on moonfire-nvr. Help welcome!

Moonfire