I have a few assets as follows, where the data_assets below loads data and returns a class:

@asset(partitions_def=daily_partitions_def)
def data_asset_a(context):
	return DataAssetA(context)

@asset(partitions_def=daily_partitions_def)
@def data_asset_b(context):
    return DataAssetB(context)

@asset(partitions_def=partitions_def)
def calc_asset(context, data_asset):
    dt = context.partition_key
    df = CALC(data_obj=data_asset).daily_run(dt)
    return df

I would like to run the clac asset with the two different data_assets on two different schedules. Is there an good way to do this without creating two calc assets?

Hi Nicholas, if

data_asset_a

and

data_asset_b

are differently structured, then you'll need separate

calc_asset

assets. However, it's possible that you could use our new Multidimensionally partitioned assets to model your problem, and collapse

data_asset_a

and

data_asset_b

into one multidimensionally partitioned

data_asset

.