Comments (2)
I like the idea, but why would we need AST introspection? Couldn't just we if all the dataset in a pipeline have a schema attached in their metadata? Is it related to the decorator way to trigger data checks?
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So I was thinking about supporting the Python annotations (as well as the catalog metadata), but we don't actually have to do that using static analysis we can actually just inspect the live objects at pipeline creation time.
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Related Issues (17)
- What do you want to see in `kedro-pandera`? HOT 9
- Enable Offline Data Check with Jupyter
- Support DataframeModel and the python API for declaring schema HOT 4
- Add data validation to terminal outputs HOT 1
- Enable lazy validation at a dataset level
- Add kedro catalog validate command
- Run the pipeline with fake pandera-generated data
- Add a preview of the schema in kedro-viz
- Generate HTML documentation from schema HOT 3
- Generate metadata catalog entry from annotated functions HOT 3
- Temporarily deactivate runtime validation HOT 3
- Enable multiple schema validation
- Upgrade requirements with a valid kedro version HOT 1
- Release v0.1.0 HOT 7
- Remove leftover print statement in `resolve_dataframe_model` HOT 1
- Add a hello-world tutorial HOT 1
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