criteria_table_validaton_helper

Module for validation logic of the (ClassificationRule) criteria table

validate_table_coverage(crit_table, logger)

Check if the criteria for the parameters given in the criteria_table cover the entire range of data values. If not give the user feedback (warnings) concerning gaps and overlaps.

Parameters:

Name	Type	Description	Default
crit_table	Dict[str, Any]	User input describing criteria per parameter	required

Source code in parsers/criteria_table_validaton_helper.py

def validate_table_coverage(crit_table: Dict[str, Any], logger: ILogger):
    """Check if the criteria for the parameters given in the criteria_table
    cover the entire range of data values. If not give the user feedback (warnings)
    concerning gaps and overlaps.

    Args:
        crit_table (Dict[str, Any]): User input describing criteria per parameter
    """
    criteria_table = crit_table.copy()
    del criteria_table["output"]

    new_crit_table = criteria_table.copy()
    unique = True

    # If only 1 parameter is given in the criteria_table check the first parameter
    # on all values and not only the unique values.
    if len(new_crit_table.items()) == 1:
        unique = False

    # Make a loop over all variables from right to left to check combinations
    msgs = []
    for key in reversed(criteria_table.keys()):
        msgs = msgs + list(
            _divide_table_in_unique_chunks(new_crit_table, logger, {}, unique)
        )
        del new_crit_table[key]

    max_msg = 6
    if len(msgs) < max_msg:
        logger.log_warning("\n".join(msgs))
    else:
        # Only show the first 6 lines. Print all msgs to a txt file.
        logger.log_warning("\n".join(msgs[:max_msg]))
        logger.log_warning(
            f"{len(msgs)} warnings found concerning coverage of the "
            f"parameters. Only first {max_msg} warnings are shown. See "
            "multiple_classification_rule_warnings.log file for all warnings."
        )
        with open(
            "multiple_classification_rule_warnings.log", "w", encoding="utf-8"
        ) as file:
            file.write("\n".join(msgs))