datecycles 0.1.2

Simple library for complicated date cycling rules

datecycles

Simple library for complicated date cycling rules

PyPI

GitHub

Installation

pip install --upgrade datecycles

"Documentation"

Currently there is no proper documentation, but the code is somewhat commented, there are examples at the end of this README, there are bunch of tests and here's explanations for the parameters:

datecycles(
    every_n,
    unit,
    day=None,
    weekday=None,
    start=None,
    end=None,
    count=None,
    shift_to_workday=None,
    country=None,
    holidays=None,
    tzinfo=None,
)

every_n: int defines the cycle interval.

unit: str defines the interval unit / cycle duration. Allowed values: "day", "week", "month", "year".

day: Optional[int] defines the day of month that is requested. Cannot be used with weekday.

start: Optional[arrow.arrow.Arrow] defines the minimum date.

end: Optional[arrow.arrow.Arrow] defines the maximum date. Can be used with count.

count: Optional[int] defines maximum number of results returned. Can be used with end.

shift_to_workday: Optional[str] defines how to handle results that are at weekends or holidays. "next" finds the next workday, "previous" finds the previous workday, "skip" skips the result completely, None returns the result as is without shifting the date.

country: str defines the country to be used for holidays. Allowed values are those that can be found in Python holidays library. For example, holidays.Finland and holidays.FI both exist so values "Finland" and "FI" are both valid values.

holidays: Union[dict, list] defines the holidays. Can't be used with country. If some custom holidays must be combined with country's holidays, see holidays documentation regarding adding custom holidays.

tzinfo: str defines the timezone used in results. start and end must also have the same timezone that's defined here. Allowed values are those that arrow accepts as a timezone.

Usage

Importing:

# Import the function
from datecycles import datecycles

Example 1

Cycle every month on 2nd day, starting from 2021-07-10, take 5 first results

datecycles(
    1,
    "month",
    day=2,
    start=arrow.get(2021, 7, 10),
    count=5
)

# [<Arrow [2021-08-02T00:00:00+00:00]>,
#  <Arrow [2021-09-02T00:00:00+00:00]>,
#  <Arrow [2021-10-02T00:00:00+00:00]>,
#  <Arrow [2021-11-02T00:00:00+00:00]>,
#  <Arrow [2021-12-02T00:00:00+00:00]>]

Example 2

Cycle every month on first friday, starting from 2021-07-10 until end of year

datecycles(
    1,
    "month",
    weekday=(0, False, "friday"),
    start=arrow.get(2021, 7, 10),
    end=arrow.get(2021, 12, 31)
)

# [<Arrow [2021-08-06T00:00:00+00:00]>,
#  <Arrow [2021-09-03T00:00:00+00:00]>,
#  <Arrow [2021-10-01T00:00:00+00:00]>,
#  <Arrow [2021-11-05T00:00:00+00:00]>,
#  <Arrow [2021-12-03T00:00:00+00:00]>]

Example 3

Cycle every month on first friday that appears in a full week, starting from 2021-07-10 until end of year

datecycles(
    1,
    "month",
    weekday=(0, True, "friday"),
    start=arrow.get(2021, 7, 10),
    end=arrow.get(2021, 12, 31)
)

# [<Arrow [2021-08-06T00:00:00+00:00]>,
#  <Arrow [2021-09-10T00:00:00+00:00]>,
#  <Arrow [2021-10-08T00:00:00+00:00]>,
#  <Arrow [2021-11-05T00:00:00+00:00]>,
#  <Arrow [2021-12-10T00:00:00+00:00]>]

Example 4

Cycle every 3rd month on last friday that appears in a full week, starting from 2021-09-01, take 4 first results

datecycles(
    3,
    "month",
    weekday=(-1, True, "friday"),
    start=arrow.get(2021, 9, 1),
    count=4
)

# [<Arrow [2021-09-24T00:00:00+00:00]>,
#  <Arrow [2021-12-24T00:00:00+00:00]>,
#  <Arrow [2022-03-25T00:00:00+00:00]>,
#  <Arrow [2022-06-24T00:00:00+00:00]>]

Example 5

Cycle every 3rd month on last friday that appears in a full week, starting from 2021-09-01, take 4 first results, in case the result is a weekend day or holiday in Finland, go to the next workday

datecycles(
    3,
    "month",
    weekday=(-1, True, "friday"),
    start=arrow.get(2021, 9, 1),
    count=4,
    shift_to_workday="next",
    country="Finland"
)

# [<Arrow [2021-09-24T00:00:00+00:00]>,
#  <Arrow [2021-12-27T00:00:00+00:00]>,
#  <Arrow [2022-03-25T00:00:00+00:00]>,
#  <Arrow [2022-06-27T00:00:00+00:00]>]