Core Data Utility

The Core Data utility package implements the data utility functions and objects that was created on sub-package namespace, ddeutil, design for independent installation.

I make this package able to extend with any sub-extension with this namespace. So, this namespace able to scale-out the requirement with folder level design. You can add any custom features and import it by import ddeutil.{extension}.

Note

This package provide the base utility functions and objects for any sub-namespace package.

📍 Installation

pip install -U ddeutil

Python version supported:

Python Version	Installation	Support Fixed Bug
>=3.9,<3.14	pip install -U ddeutil	✔️

Note

If you want to install all optional dependencies for this package, you can use pip install -U ddeutil[all]. For optional dependencies that use on this package, it will list on below table;

Optional deps	Module
ujson	hash.checksum
python-dateutil	dtutils.next_date_with_freq, dtutils.calc_data_freq
psutil	threader.MonitorThread.

🎯 Features

This core data package will implement all of utility functions and objects that does not re-create again because it is basic code but has a lot of using require.

Module	Name	Description	Remark
base	isinstance_check	Return True if a data is instance of the respect instance.
	import_string	Import a dotted module path and return the attribute/class designated by the last name in the path.
	lazy	Lazy use import_string function that wrapped with partial function.
	round_up	Round up the number with decimals precision size.
	remove_pad	Remove zero padding of zero prefix string.
	first	Returns the first item in the iterable that satisfies the condition.
	onlyone	Get only one element from check list that exists in match list.
	hasdot	Return True value if dot searching exists in content data.
	getdot	Return the value if dot searching exists in content data.
	setdot	Set the value if dot searching exists in content data.
	filter_dict	Filter dict value with excluded and included collections.
	random_str	Random string from uppercase ASCII and number 0-9.	no coverage
	coalesce	Coalesce function that is a just naming define function.	no coverage
base.cache	memorize	Return a cachable function that keep all arguments and pass to string type for keeping it in the caching key.
	property_memorize	Return a property attribute for new-style classes that only calls its getter on the first access.
	clear_cache	Clear cache or the another word is delete caching attribute value that implement cache with target attribute property.
base.checker	can_int	Check an input value that can be integer type or not (but some value does not use int() to convert it such as 0.0 or 3.0)
	is_int	Check an input value that be integer type or not.
base.convert	must_bool
	must_list
	str2any	Convert an input string value to the real type of that object. Note that this convert function do not force or try-hard to convert type such as a boolean value should be 'True' or 'False' only.
	str2args	Convert an input arguments string to args and kwargs values.
	str2bool	Convert an input string value to boolean (True or False).
	str2dict	Convert an input string value to dict.
	str2int_float	Convert an input string value to float.
	str2list	Convert an input string value to list.
base.hash	checksum
	freeze
	freeze_args
	hash_all
	hash_str
base.merge	merge_dict
	merge_dict_value
	merge_dict_value_list
	merge_list
	sum_values	Sum all values in an input dict value with start and end index.
	zip_equal
base.sorting	ordered
	sort_priority
base.splitter	isplit
	must_rsplit
	must_split
decorator	deepcopy
	deepcopy_args
	timing
	timing_open
	debug
	retry
	profile	Profile the current memory and cpu usage while wrapped function running.
dtutils	replace_date	Replace datetime matrix that less than an input mode to origin value.
	next_date	Return the next date with specific unit mode.
	closest_quarter	Return closest quarter datetime of an input datetime.
	last_dom	Get the latest day of month that relate with an input datetime value.
	last_doq	Get the latest day of quarter that relate with an input datetime value.
	next_date_freq
	calc_data_freq
threader	ThreadWithControl	Threading object that can control maximum background agent and result after complete.
	MonitorThread	Monitoring threading object that log the current memory and cpu usage.

🍻 Usages

I will show some usage example of function in this package. If you want to use complex or adjust some parameter, please see doc-string or real source code (I think it do not complex and you can see how that function work).

OnlyOne

from ddeutil.core import onlyone

assert 'a' == onlyone(['a', 'b'], ['a', 'b', 'c'])
assert 'c' == onlyone(('a', 'b'), ['c', 'e', 'f'])
assert onlyone(['a', 'b'], ['c', 'e', 'f'], default=False) is None

Instance Check

from ddeutil.core import isinstance_check
from typing import Union, Optional, NoReturn, Any

assert isinstance_check("s", str)
assert isinstance_check(["s"], list[str])
assert isinstance_check(("s", "t"), tuple[str, ...])
assert not isinstance_check(("s", "t"), tuple[str])
assert isinstance_check({"s": 1, "d": "r"}, dict[str, Union[int, str]])
assert isinstance_check("s", Optional[str])
assert isinstance_check(1, Optional[Union[str, int]])
assert not isinstance_check("s", list[str])
assert isinstance_check([1, "2"], list[Union[str, int]])
assert not isinstance_check("s", NoReturn)
assert isinstance_check(None, NoReturn)
assert isinstance_check("A", Any)
assert isinstance_check([1, [1, 2, 3]], list[Union[list[int], int]])
assert not isinstance_check([1], Union[str, int])
assert isinstance_check((1, "foo", True), tuple[int, str, bool])

String to Any

from ddeutil.core import str2any

assert str2any(22) == 22
assert str2any("1245") == 1245
assert str2any('"string"') == "string"
assert str2any("[1, 2, 3]") == [1, 2, 3]
assert str2any('{"key": "value"}') == {"key": "value"}
assert str2any("1245.123") == 1245.123
assert str2any("True")
assert str2any("[1, 2") == "[1, 2"
assert str2any("1.232.1") == "1.232.1"