Short question: I've a function producing a dictionary expected to be saved as a yaml file. I'm getting the right results when I yaml.dump() the dictionary. This function is now a node function. Is it enough to add micro_segmentation.reporting.tree_node_yaml: type: yaml.YAMLDataSet filepath: data/demo/08_reporting/micro_segmentation/tree_definition.yaml This is how the function is defined in the pipeline: node( func=convert_tree_node_table_to_yaml, inputs={"df": "micro_segmentation.reporting.tree_node_table"}, outputs="micro_segmentation.reporting.tree_node_yaml", name="micro_segmentation.assessment.convert_tree_node_table_to_yaml", tags=["micro_segmentation.assessment"],

I hate does the dictionary returned by the dictionary look like? Can you provide a stack trace?

Note that when I yaml.dump() the dict returned by the function, I'm getting the expected yaml file. Can run the function but cannot run the pipeline from here, but I can share the expected dict used in the test case.

What’s the error/problem?

No error(s). Context: I have a function generating a dictionary. When I yaml.dump() that dictionary, I'm getting the yaml file I need. The function is now a node function in a pipeline, as follow: func=convert_tree_node_table_to_yaml, inputs={"df": "micro_segmentation.reporting.tree_node_table"}, outputs="micro_segmentation.reporting.tree_node_yaml", name="micro_segmentation.assessment.convert_tree_node_table_to_yaml", I've added the following in the catalog: micro_segmentation.reporting.tree_node_yaml: type: yaml.YAMLDataSet filepath: data/demo/08_reporting/micro_segmentation/tree_definition.yaml The question: is this enough to get the dictionary saved as a yaml file ?

we’re doing the same thing behind the scenes, the only difference is abstracting the filesystem so it works on cloud storage

Ok. Good. So this should work. I cannot run the full pipeline here.

yes it’s not doing anything fancy https://docs.kedro.org/en/stable/_modules/kedro/extras/datasets/yaml/yaml_dataset.html#YAMLDataSet

Thanks

accept a Python dict and pass to

yaml.dump