Spark: How to get value for each day in interval?

Question

I have a table with values and a date starting from which this value is valid:

param	validfrom	value
param1	01-01-2022	1
param2	03-01-2022	2
param1	05-01-2022	11
param1	07-01-2022	1

I need to get values of each parameter on each day before the specified date

For example, I have to get values for 06-01-2022:

param	validfrom	value
param1	01-01-2022	1
param1	02-01-2022	1
param1	03-01-2022	1
param1	04-01-2022	1
param1	05-01-2022	11
param1	06-01-2022	11
param2	03-01-2022	2
param2	04-01-2022	2
param2	05-01-2022	2
param2	06-01-2022	2

In other words, I need to get rows for missing dates and fill values by previous value.

I use window funсtion to get last value like this:

val windowPartitionByCompositeKey = Window.partitionBy(CompositeKey.map(col):_*)

    spark.table("table")
      .where($"$ValidFrom" <= repDt )
      .distinct()
      .withColumn("max_validfrom", max($"$ValidFrom").over(windowPartitionByCompositeKey))
      .where($"$ValidFrom" === $"max_validfrom")
      .drop("max_validfrom")
      .show()

and I get next result:

param	validfrom	value
param2	03-01-2022	2
param1	05-01-2022	11

But I need to get value of each param on each day before the specified date.

How I can get this?