def _compare_match_tables()

in data_validation/find_tables.py [0:0]

• 25 lines of code
• 5 McCabe index (conditional complexity)

def _compare_match_tables(source_table_map, target_table_map, score_cutoff=0.8) -> list:
    """Return dict config object from matching tables."""
    # TODO(dhercher): evaluate if improved comparison and score cutoffs should be used.
    table_configs = []

    target_keys = target_table_map.keys()
    for source_key in source_table_map:
        target_key = jellyfish_distance.extract_closest_match(
            source_key, target_keys, score_cutoff=score_cutoff
        )
        if target_key is None:
            continue

        table_config = {
            consts.CONFIG_SCHEMA_NAME: source_table_map[source_key][
                consts.CONFIG_SCHEMA_NAME
            ],
            consts.CONFIG_TABLE_NAME: source_table_map[source_key][
                consts.CONFIG_TABLE_NAME
            ],
            consts.CONFIG_TARGET_SCHEMA_NAME: target_table_map[target_key][
                consts.CONFIG_SCHEMA_NAME
            ],
            consts.CONFIG_TARGET_TABLE_NAME: target_table_map[target_key][
                consts.CONFIG_TABLE_NAME
            ],
        }
        table_configs.append(table_config)

    return table_configs