Recipes with Time Range dependence partitions: is it possible to ignore missing partitions?

While working with a team partner, we started to see an unexpected behavior with a join recipe.

We are trying to join 2 partitioned datasets, both at the day level, and we are using this dependence definition:

 So we want to join the first dataset with 14 partitions from the second dataset at a time. The problem happens when we want to process "today" (or for that matter, any of the last 7 days) and the recipe will fail because it can't not find the partitions "today+1", "today+2", .. "today+7".

Is there any way to setup the time range dependence to ignore this error so the data can still be joined, instead of failing completely? We think this should be an option (ignore missing partition) because we have several other use cases where the same happens: if in the time range one partition is missing, the whole processing day fails.

The solution "do not add days into the future" is not valid for us because some times we need to reprocess all the data in the last 2 weeks or so.

Thanks!