Generated new Python types #2827
Conversation
andrewnester
requested review from
anton-107,
denik,
pietern and
shreyas-goenka
as code owners
andrewnester
temporarily deployed
to
test-trigger-is
GitHub Actions
Inactive
| genkit update-sdk | ||
| [ ! -f tagging.py ] || mv tagging.py internal/genkit/tagging.py | ||
| [ ! -f .github/workflows/next-changelog.yml ] || rm .github/workflows/next-changelog.yml | ||
| pushd experimental/python && make codegen |
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I don't think we use popd anywhere, lets use cd here?
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Nvm, I see this is what @kanterov recommends. Not sure why though.
|
@andrewnester where do we do git commit? code generation should run before that |
| """ | ||
| :meta private: [EXPERIMENTAL] | ||
| """ | ||
| """""" |
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@kanterov Can you take a look at why this yields an empty doc block?
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@pietern it works as intended, class doesn't have experimental annotation and no description in JSON schema
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Shouldn't empty docstrings be omitted from the output instead?
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From what I remember missing class doc string breaks the parsing of field doc strings
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Ack, thanks for clarifying
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I'm not sure it's still needed. I there was a problem with VSCode, but I have found that it's resolved now. Databricks SDK doesn't add empty doc strings, at least we should keep both consistent, I will create a PR to remove empty doc strings.
Changes
Generated new Python types by running
pushd experimental/python && make codegenWhy
This PR #2788 introduced new task types but Python types were not generated causing schema checks to fail.