def transform_row()

in processing/batch_ingest_sm_pyspark.py [0:0]

• 7 lines of code
• 2 McCabe index (conditional complexity)

def transform_row(row) -> list:
    columns = list(row.asDict())
    record = []
    for column in columns:
        feature = {'FeatureName': column, 'ValueAsString': str(row[column])}
        record.append(feature)
    return record