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import dataiku
from dataiku import recipe
# simply copy the first recipe input dataset
# to the first recipe output dataset, with the schema
ds_input = recipe.get_inputs()[0]
df_input = ds_input.get_dataframe()
when run in jupiter notebook I get the following error
--------------------------------------------------------------------------- TypeError Traceback (most recent call last) <ipython-input-7-53db26cb82aa> in <module> 7 # to the first recipe output dataset, with the schema 8 ----> 9 ds_input = recipe.get_inputs()[0] 10 df_input = ds_input.get_dataframe() 11 /opt/dataiku/python/dataiku/recipe/__init__.py in get_inputs(index, role, object_type, as_type) 69 def get_inputs(index=None, role=None, object_type=None, as_type='object'): 70 flow_spec = flow.FLOW ---> 71 return [_get_typed_recipe_input_output(x, as_type) for x in flow_spec["in"] if _recipe_input_output_matches(x, index, role, object_type)] 72 73 def get_input(index=None, role=None, object_type=None, as_type='object'): TypeError: 'NoneType' object is not subscriptable
In a Notebook you first need to establish proper context and point to the project/recipe you want to look at:
import dataiku
client_handle = dataiku.api_client()
project_handle = client_handle.get_project('some_project_key')
recipe_handle = project_handle.get_recipe('some_recipe_id')
recipe_settings = recipe_handle.get_settings()
recipe_settings.get_recipe_inputs()
Hi Turribeach,
tested your code and got.
NameError: name 'recipe_settings' is not defined
My bad, I missed a line of code. Updated the code above now.