Python date and datetime extension
Project description
dvrd_pydate
This package provides date
and datetime
extensions with useful extra utility functions.
The extensions are provided as the PyDate(date)
and PyDateTime(datetime, PyDate)
classes. All built-in date
and
datetime
functions are still available through inheritance.
Initialization
from_value
PyDate
and PyDateTime
objects can be constructed using the default date
/datetime
constructors or initializing
functions. They can also easily be constructed from existing date
/datetime
objects or their Py*
variants, using
the staticmethod from_value
.
from datetime import datetime, date
from dvrd_pydate import PyDate, PyDateTime
date_value = date(2024, 1, 1)
datetime_value = datetime(2024, 1, 1, 12, 0, 0, 0)
# All valid initializers
pydate_value = PyDate(2024, 1, 1)
pydate_value = PyDate.fromisoformat('2024-01-01')
pydate_value = PyDate.from_value(date_value)
pydate_value = PyDate(pydate_value)
pydatetime_value = PyDateTime(2024, 1, 1, 12, 0, 0, 0)
pydatetime_value = PyDateTime.fromisoformat('2024-01-01:12:00:00.000')
pydatetime_value = PyDateTime.from_value(datetime_value)
pydatetime_value = PyDateTime.from_value(pydatetime_value)
Argument | Type | Required | Default | Description |
---|---|---|---|---|
value | date | str |
No | None |
Construct a new PyDate(Time) object from the given value. If value is None , date.today() or datetime.now() is used instead. |
clone
Both classes provide a clone
function, which simply clones the object into a new one. This function takes no
arguments.
Iteration
Both classes provide a staticmethod iter
which returns a generator. The generator generates PyDate(Time)s with given
interval. It is possible to supply a start date, end date and max amounts of steps to take. If both end
and
max_steps
are given, the generator stops at whichever argument is reached first.
from dvrd_pydate import PyDate, DatePart
for date_value in PyDate.iter(end=PyDate.now().add(7, DatePart.DAYS)):
pass
for date_value in PyDate.iter(max_steps=7):
# Does the same as the loop above
pass
Argument | Type | Required | Default | Description |
---|---|---|---|---|
start | date | str |
No | None |
Start iterating from date(time). If None , uses date.today()or datetime.now()` |
end | date | str |
No | None |
Optional date(time) to end the iteration at. |
step | DatePart | TimePart | tuple[int, DatePart | TimePart] |
No | DatePart.DAY |
Interval to determine each new date(time) with. PyDate can only use DatePart , while PyDateTime can use both DatePart as TimePart . |
max_steps | int |
No | None | Max amount of date(time)s to generate. |
Mutations
Both classes provide functions to alter the date or time. All functions return a new instance, mutations are not done in-place. All functions can therefore also be chained together.
Add
Add an amount of date/time part. PyDate
only supports DatePart
parts, while PyDateTime
supports both DatePart
(
through inheritance) and TimePart
.
from dvrd_pydate import PyDate, PyDateTime, DatePart, TimePart
date_value = PyDate.today()
date_value = date_value.add(7, DatePart.DAYS)
date_value = date_value.add(1, DatePart.WEEK) # Same as above
datetime_value = PyDateTime.now()
datetime_value = datetime_value.add(1, DatePart.MONTH).add(30, TimePart.SECONDS)
Argument | Type | Required | Default | Description |
---|---|---|---|---|
value | int |
Yes | N/A | The value to add to the current date(time) |
key | DatePart | TimePart |
Yes | N/A | The part to add the value to |
Subtract
Subtract an amount of date/time part. PyDate
only supports DatePart
parts, while PyDateTime
supports both
DatePart
(through inheritance) and TimePart
.
from dvrd_pydate import PyDate, PyDateTime, DatePart, TimePart
date_value = PyDate.today()
date_value = date_value.subtract(7, DatePart.DAYS)
date_value = date_value.subtract(1, DatePart.WEEK) # Does the same as above
datetime_value = PyDateTime.now()
datetime_value = datetime_value.subtract(1, DatePart.MONTH).subtract(30, TimePart.SECONDS)
Add/Subtract parts
Each part also has its own add
and subtract
function. E.g. add_days(2)
, add_hours(3)
, subtract_months(4)
, etc.
Adding or subtracting with value 1
can also be achieved by using the utility functions add_day()
, add_hour()
,
subtract_month()
, etc. which calls the add
/subtract
functions with value 1
.
start_of / end_of
Both classes provide the start_of
and end_of
functions to conveniently set the date(time) to the start of the given
date/time part.
from dvrd_pydate import PyDate, DatePart
date_value = PyDate(2024, 2, 5) # 5th of February 2024
start_of_month = date_value.start_of(DatePart.MONTH) # 1st of February 2024
end_of_month = date_value.end_of(DatePart.MONTH) # 29th of February 2024
Argument | Type | Required | Default | Description |
---|---|---|---|---|
part | DatePart | TimePart |
Yes | N/A | Determines to which part the date(time) is mutated to |
Comparison
Both classes provide convenient function to compare itself to another date(time). The following functions can be used:
is_before
is_same_or_before
is_same
is_same_or_after
is_after
is_between
from dvrd_pydate import PyDate, DatePart
date1 = PyDate(2024, 1, 1)
date2 = PyDate(2024, 1, 15)
date1.is_same(date2) # Granularity defaults to DatePart.DAY, returns False
date1.is_same(date2, DatePart.MONTH) # True
All function return a bool
. All functions except is_between
take the following arguments:
Argument | Type | Required | Default | Description |
---|---|---|---|---|
other | date(time) | str |
Yes | N/A | Date(time) to compare to. Can also be a ISO date(time) string |
granularity | DatePart | TimePart |
No | DatePart.DAY |
Determines the exactness of the comparison. For example, this makes it easy to test if two dates are in the same month of the same year. |
The is_between
function tests if the object is in between given date(time)s. It is possible to exclude the given start
and end date.
from dvrd_pydate import PyDate, DatePart
date1 = PyDate(2024, 1, 1)
date2 = PyDate(2024, 1, 15)
date3 = PyDate(2024, 1, 12)
date3.is_between(date1, date2) # True
date2.is_between(date1, date2) # True
date2.is_between(date1, date2, to_inclusive=False) # False
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