Check the

DataFrameSchema

- if you see any

lambda

functions then refactor them into concrete functions and see if it helps

@Ben Horsburgh Strangely enough, I’ve created a non-anonymous function in the body of my custom check, but still get the same error.. Can you identify anything that might cause the issue ? thx

@pa.extensions.register_check_method()
def custom_check_is_valid_barcode(barcodes: "pd.Series[str]", 
                                  check: bool) -> "pd.Series[bool]":

    def check_barcode_validity(row):
        return barcodenumber.check_code(row.BARCODE_TYPE, row.BARCODE)

    if not isinstance(check, bool):
        raise ValueError(f"`check` should be `bool` not {type(check)}")

    barcodes = barcodes.to_frame()
    barcodes.columns = ['BARCODE']
    barcodes['BARCODE_TYPE'] = barcodes.fillna('').map(identify_barcode)
    
    if check:
        barcodes['IS_VALID'] = barcodes.apply(check_barcode_validity, axis=1)
    else:
        barcodes['IS_VALID'] = True
    
    return barcodes['IS_VALID']

For now, I’ve simply dodged the problem by “non-persisting” the schema, but if anyone has a solution / explanation, please let me know 🙂 🙏

@Yolan Honoré-Rougé I hope that you won’t mind this _out of the blue “ping_”. But given you’re work on

kedro-pandera

I thought that you might have some insight into the above. Many thanks in advance, Regards Marc