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#ask-community
Title
# ask-community
m

Mycchaka Kleinbort

03/20/2023, 1:53 PM
I wonder if the following is possible... invoking a dagster run as if it were an API call (a very slow one) Suppose I have:
Copy code
@asset 
def data()->pd.DataFrame:
    ... 

@asset 
def clean_data(data)->pd.DataFrame:
    ... 

@asset 
def predictions(clean_data, model)
    ...
It'd be nice to be able to "call" this pipeline with some arbitrary input for data I envision a jupyter notebook where
data
is some pandas dataframe (generated by some process) - would there be a way to leverage the pipelines defined in dagster to calculate the
predictions
on this data?
j

jamie

03/23/2023, 7:33 PM
the graphql api might help you here https://docs.dagster.io/concepts/dagit/graphql