parameters-validation | Easy & clean function parameters validation | Validation library

from parameters_validation import no_whitespaces, validate_parameters

@validate_parameters
def foo(arg: no_whitespaces(str)):
    print(arg)

foo.mock_validations({"arg": lambda *_, **__: print("mocked")})("white   spaces")
# prints: mocked
# prints  

from pyspark.sql import DataFrame

def persist_to_s3(df: DataFrame, path: str):
    df.write.parquet(path)

from pyspark.sql import DataFrame

def persist_to_s3(df: DataFrame, path: str):
    if "ts" not in df.columns:
        raise ValueError("dataf  

from pandas import dataframe
from parameters_validation import parameter_validation, validate_parameters

@parameter_validation
def has_id_column(df: dataframe):
    if "id" not in df:
        raise ValueError("Dataframe must contain an `id` column")