Datamodel-code-generator: Add ability to use generic container types

[ofek]

Is your feature request related to a problem? Please describe.

We have immutability requirements and therefore do not use list/typing.List nor dict/typing.Dict

Describe the solution you'd like

An option that would use typing.Sequence instead of typing.List and typing.Mapping instead of typing.Dict

If use_standard_collections option is set, then import from collections.abc instead of typing

Describe alternatives you've considered

In my feature branch I have a post-generation step that modifies the output file

Additional context

Soon, every Datadog Agent integration will use this to generate models for user configuration 🙂

[koxudaxi]

@ofek
Thank you for suggesting this feature.
Looks Good!!
I will implement it when I get the time.

Soon, every Datadog Agent integration will use this to generate models for user configuration 🙂

Wow, it's excellent news. 🥳
May I write the use-case in the README/documentation after you release it?

[ofek]

May I write the use-case in the README/documentation after you release it?

Sure!

[koxudaxi]

@ofek
I have released a new version 0.7.3
The version has --use-generic-container-types

[ofek]

Amazing, thank you very much!!! I'll comment here when my PR gets merged 🙂

[ofek]

https://github.com/DataDog/integrations-core/pull/8675 is merged and I've started the syncing of every integration: https://github.com/DataDog/integrations-core/pulls 😄

[koxudaxi]

@ofek
It's great!! 🎉

Do you use OpenAPIParser directly here?
https://github.com/DataDog/integrations-core/blob/85d693ffa317c20c7e623a17c299e6ea137a5a35/datadog_checks_dev/datadog_checks/dev/tooling/specs/configuration/consumers/model.py

I will keep the result of OpenAPIParser().parse().
But, I will refactor the low-level function because the current version doesn't reach 1.0
If you get any problem, then please tell me it.
Also, I can add unittest or integration test to your project.

Thank you

[ofek]

Yes we use that directly. I'll let you know if we encounter any issues, thank you!

[ofek]

https://datadoghq.dev/integrations-core/meta/config-models/