Changes in Analytics Backend.

            StructField("kpi_value"  ,  DoubleType()  , True)

        ])

def get_aggregations(oper_list):

def GetAggregations(oper_list):

    # Define the possible aggregation functions

    agg_functions = {

        'avg'  :  round(avg    ("kpi_value"), 3) .alias("avg_value"),

    }

    return [agg_functions[op] for op in oper_list if op in agg_functions]   # Filter and return only the selected aggregations

def apply_thresholds(aggregated_df, thresholds):

def ApplyThresholds(aggregated_df, thresholds):

    # Apply thresholds (TH-Fail and TH-RAISE) based on the thresholds dictionary on the aggregated DataFrame.

    # Loop through each column name and its associated thresholds

                                           ),

                                    col("kpi_id")

                                ) \

                                .agg(*get_aggregations(oper_list))

                                .agg(*GetAggregations(oper_list))

        # Apply thresholds to the aggregated data

        thresholded_stream_data = apply_thresholds(windowed_stream_data, thresholds)

        thresholded_stream_data = ApplyThresholds(windowed_stream_data, thresholds)

        # --- This will write output on console: FOR TESTING PURPOSES

        # Start the Spark streaming query