fit_predict only returns labels for newly added data, is that intended?

[alexandradec]

Hello. I can see in the code that fit_predict gets an X array of data, adds it to the micro clusters and then runs DBSCAN on them (the micro clusters). However, it then returns labels only for X but not for preexisting data.
A more concrete example of how I want to use the algorithm:
I have multiple days of data.
I run partial_fit using only the 1st day, and this creates some micro clusters.
Then I run partial_fit on the data of the 2nd day, and this updates the existing micro clusters.
etc
If on my final day I want to run fit_predic to get the final clustering result, I have to give all the points (of all the days) as X because the function only labels those points.
Is it how it is intended?