i already did
thanks
Cool thanks! Looking
In your main handler function, I commented out a few lines so it looks like this:
def handler(pd: "pipedream"):
# Reference data from previous steps
info_nueva = pd.steps["trigger"]["event"]["file"]["id"]
#Transform into a pandas df, then back to a dict
# final_data = transform_df(info_nueva).to_dict("split")
#Only keep necesary data
# final_dictionary = [final_data['columns']] + final_data["data"]
# Return data for use in future steps
# return final_dictionary
And tested the step. Since it ran successfully, there must be a problem in the code.
I know it’s a pain and we’re improving our docs on common Pipedream Internal Errors, but could you debug your custom code line by line and see where the error is located?
I did on my local machine and it ran without problem, I believe the problem comes from the return from the handler
this works
so yea the problem was fixed with this snippet added to the transform df function
i think the main issue is without proper error handling, this becomes a guessing game. But thanks for the quick response and help