Fast Argument validation for functions using decorators
Project description
Validation Decorators
Simple and fast type-checking and parameter validation.
Do you want to remove visual clutter in your python function? Do you want to check types fast without a lot of boilerplate?
Then this package is right for you.
Not convinced? Check out the following:
# classic
def foo(bar: int, message: str, some_additional_info: dict):
if not isinstance(bar, int):
raise TypeError(...)
if not isinstance(message, str):
raise TypeError(...)
if not isinstance(some_additional_info, dict):
raise TypeError(...)
# now begin to code...
# now
@validate_types(bar=(int,), message=(str,), some_additional_info=(dict,))
def foo(bar: int, message: str, , some_additional_info: dict):
# begin to code
If of course also supports multiple types:
from pathlib import Path
@validate_types(path=(str, Path), message=(str,))
def foo(path: str | Path, message: str):
# begin to code
Do you want to convert your input-types fast and without clutter?
def from_dict(dict_: dict):
return (dict_.get('bar'), dict_.get('message'), dict_.get('some_additional_info')), {}
@convert_with(from_dict)
def foo(bar: int, message:str, some_additional_info: dict):
...
Skip Type-checks by providing the SkipTypecheck
class as a type, this is very usefull for methods.
from decorator_validation.decorators import validate_types, SkipTypeCheck
class FileReader:
@validate_types((SkipTypeCheck,), file_path=(str,))
def __init__(self, file_path: str):
...
Of course, sometimes you want to have custom error messages. Then, just use the following code:
from decorator_validation.decorators import validate_with
from pathlib import Path
def my_validation_func(obj, file_path:str) -> True:
if not isinstance(file_path, str):
raise TypeError(...)
if not Path(file_path).resolver().is_file():
raise ValueError(...)
return True
class FileReader:
@validate_with(my_validation_func)
def __init__(self, file_path: str):
...
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