Timedelta-based schedule and after arguments.

By default, passing TimedeltaTypes as both the schedule and the after argument causes the folds to align to the right edge of the available data.

from rics import configure_stuff
from time_split import log_split_progress, plot, settings, split

configure_stuff(datefmt="")

data = ("2022-02", "2022-03")
config = dict(schedule="7d", before="3d", after="5d", available=data)

plot(**config, bar_labels=False)

for fold in log_split_progress(split(**config), logger="my-logger"):
    print("Doing work..")

👻 Configured some stuff just the way I like it!
[my-logger:INFO] Begin fold 1/3: '2022-02-07' <= [schedule: '2022-02-10' (Thursday)] < '2022-02-15'.
Doing work..
[my-logger:INFO] Finished fold 1/3: [schedule: '2022-02-10' (Thursday)] after 18 μs.
[my-logger:INFO] Begin fold 2/3: '2022-02-14' <= [schedule: '2022-02-17' (Thursday)] < '2022-02-22'.
Doing work..
[my-logger:INFO] Finished fold 2/3: [schedule: '2022-02-17' (Thursday)] after 15 μs.
[my-logger:INFO] Begin fold 3/3: '2022-02-21' <= [schedule: '2022-02-24' (Thursday)] < '2022-03-01'.
Doing work..
[my-logger:INFO] Finished fold 3/3: [schedule: '2022-02-24' (Thursday)] after 14 μs.

Setting settings.misc.snap_to_end to False will adopt the default behavior used by pandas.date_range().

settings.misc.snap_to_end = False
plot(**config, bar_labels=False)

for fold in log_split_progress(split(**config), logger="my-logger"):
    print("Doing work..")

[my-logger:INFO] Begin fold 1/3: '2022-02-05' <= [schedule: '2022-02-08' (Tuesday)] < '2022-02-13'.
Doing work..
[my-logger:INFO] Finished fold 1/3: [schedule: '2022-02-08' (Tuesday)] after 19 μs.
[my-logger:INFO] Begin fold 2/3: '2022-02-12' <= [schedule: '2022-02-15' (Tuesday)] < '2022-02-20'.
Doing work..
[my-logger:INFO] Finished fold 2/3: [schedule: '2022-02-15' (Tuesday)] after 16 μs.
[my-logger:INFO] Begin fold 3/3: '2022-02-19' <= [schedule: '2022-02-22' (Tuesday)] < '2022-02-27'.
Doing work..
[my-logger:INFO] Finished fold 3/3: [schedule: '2022-02-22' (Tuesday)] after 14 μs.

The configuration in time_split.settings are global, so changes made will remain in effect for all callers until the original value is reset.

settings.misc.snap_to_end = True