Enable TS input about modelina HOT 9 CLOSED

Hey @jonaslagoni let me take this up, even though it's not marked as a good-first-issue .

I kinda got tired of modifying docs and now want to try to solve some core issues.

Please do! 👏

Feel free to ping me with any questions you may have 🙂

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This issue has been automatically marked as stale because it has not had recent activity 😴
It will be closed in 60 days if no further activity occurs. To unstale this issue, add a comment with detailed explanation.
Thank you for your contributions ❤️

from modelina.

This issue has been automatically marked as stale because it has not had recent activity 😴
It will be closed in 60 days if no further activity occurs. To unstale this issue, add a comment with detailed explanation.
Thank you for your contributions ❤️

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Gonna let stale run its cause, even though I would love to enable it, cant prioritize it at the moment.

from modelina.

Hey @jonaslagoni let me take this up, even though it's not marked as a good-first-issue .

I kinda got tired of modifying docs and now want to try to solve some core issues.

from modelina.

Hey @jonaslagoni, could you clarify a few things for me w.r.t the issue and correct me if I misunderstood anything ?

Currently we support input of AsyncAPI, JSON Schema and output data models of various languages like JS, Java, Go.

• For this issue, we are trying to support the input of a Typescript data model and output the existing supported language ?
• We are going to implement it by first converting the input Typescript model to JSON schema using the custom library mentioned above ? And then use the obtained JSON schema to output the language supported data model ?

from modelina.

For this issue, we are trying to support the input of a Typescript data model and output the existing supported language?

Yes, basically converting it to our internal model representation yes. So we can output it to multiple other languages 🙂

We are going to implement it by first converting the input Typescript model to JSON schema using the custom library mentioned above? And then use the obtained JSON schema to output the language-supported data model?

That is my suggestion yes 🙂 I.e. you "basically" do the same as the AsyncAPI input processor (and the other input processors tbh 😄) where it uses the JSON Schema input processor to convert the message payloads into the internal model representation (CommonModel) here:

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🎉 This issue has been resolved in version 0.51.0 🎉

The release is available on:

• npm package (@latest dist-tag)
• GitHub release

Your semantic-release bot 📦🚀

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🎉 This issue has been resolved in version 1.0.0-next.23 🎉

The release is available on:

• npm package (@next dist-tag)
• GitHub release

Your semantic-release bot 📦🚀

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