Pandas: Group by and conditional sum based on value of current row

Question

My dataframe looks like this:

customer_nr	order_value	year_ordered	payment_successful
1	50	1980	1
1	75	2017	0
1	10	2020	1
2	55	2000	1
2	300	2007	1
2	15	2010	0

I want to know the total amount a customer has successfully paid in the years before, for a specific order.

The expected output is as follows:

customer_nr	order_value	year_ordered	payment_successful	total_successfully_previously_paid
1	50	1980	1	0
1	75	2017	0	50
1	10	2020	1	50
2	55	2000	1	0
2	300	2007	1	55
2	15	2010	0	355

Closest i've gotten is this:

df.groupby(['customer_nr', 'payment_successful'], as_index=False)['order_value'].sum()

That just gives me the summed amount successfully and unsuccessfully paid all time per customer. It doesn't account for selecting only previous orders to participate in the sum.