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this is the result of `print(f.parameters())`: ``...
# ask-community
m
this is the result of `print(f.parameters())`:
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{<Parameter: tap_catalog>, <Parameter: tap_config>}
j
Not entirely sure what’s going on here at first glance but I can say flows definitely accept an arbitrary number of parameters 🙂
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In [18]: @task
    ...: def vals(x1, x2, x3):
    ...:     print(x1, x2, x3)
    ...:

In [19]: with Flow('test') as flow:
    ...:     p1 = Parameter('p1')
    ...:     p2 = Parameter('p2')
    ...:     p3 = Parameter('p3')
    ...:     vals(p1, p2, p3)
    ...:

In [20]: flow.parameters()
Out[20]: {<Parameter: p1>, <Parameter: p2>, <Parameter: p3>}
It’s almost like 
target_config
isn’t being picked up on 
run_cassandra_target
🤔 what happens when you run the flow?
Here’s a setup similar to yours and I am getting the proper amount of parameters on the flow:
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In [23]: @task
    ...: def take_two(x, y):
    ...:     return x + y
    ...:

In [24]: @task
    ...: def take_res_and_param(param, res):
    ...:     print(param + res)
    ...:

In [25]: with Flow('test') as flow:
    ...:     p1 = Parameter('p1')
    ...:     p2 = Parameter('p2')
    ...:     p3 = Parameter('p3')
    ...:     res = take_two(p1, p2)
    ...:     take_res_and_param(p3, res)
    ...:
    ...:

In [26]: flow.parameters()
Out[26]: {<Parameter: p1>, <Parameter: p2>, <Parameter: p3>}
m
ARGH 😬 Forgot to decorate 
run_cassandra_target
with 
@task
(it’s my first stab at a Flow, sorry ab that)
j
No problem! Glad you got it sorted out
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