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Is your feature request related to a problem? Please describe.
It would be great to be able to deploy eg. to hacking a set of resource deployments without having to go through all the puff maps in all release states to disable/comment out the parts we don't want to deploy.
Something like a --skip-validation flag that we could use with deploy-me to avoid validating all release states.
The text was updated successfully, but these errors were encountered:
The pydantic framework used for applying a data model to configuration (implicitly doing the data model validation) doesn't appear to have a "disable validation" capability pydantic/pydantic#897
some of the work-arounds presented at the above link might work, but the context above is for static validation disable rather than runtime and haven't looked at it too deeply yet. will keep investigating.
Is your feature request related to a problem? Please describe.
It would be great to be able to deploy eg. to
hacking
a set of resource deployments without having to go through all the puff maps in all release states to disable/comment out the parts we don't want to deploy.Something like a
--skip-validation
flag that we could use withdeploy-me
to avoid validating all release states.The text was updated successfully, but these errors were encountered: