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Find answers, ask questions, and share expertise about Alteryx Promote.
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The reason nested JSON is currently flattened in R and not in Python is because all input JSON to an R model is converted, using jsonlite, to a DataFrame. In order to support requests that have multiple observations attached, the JSON must be flattened to accomodate the 2 dimensional nature of a DataFrame. Additionally, when deploying an R model, the model.predict() function must operate on a DataFrame and not on a list.
Python is a bit more flexible in the regard. When input JSON is sent to a Python model, the JSON is converted into a dict or a list, depending on its structure. These data types inherently support nested data and thus the input JSON keys are not flattened. When deploying a python model, the deployed function should operate on a dict or a list depending on the expected input structure.