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def fn_processInteraction(**kwargs):
    try:
        entity = 'Interaction'
        dagIdVar = os_path.basename(__file__).replace(".py", "")
        adminVariableValue = {}
        cassPath = os_environ.get('CASSANDRA_HOME')
        dfDataSet = pd.DataFrame()
        dfMigMasterFailed = pd.DataFrame()
        failedEntities = {}
        over_ride = checkDag()
        if not cassPath:
            raise Exception("CASSANDRA_HOME not configured.")
        # Configuration  Properties
        configProperties, configMainProperties = getConfiguration(__file__)
        print("configMainProperties")
        print(configMainProperties.sections())
        print("configProperties")
        print(configProperties.sections())

        opId = configMainProperties.get("config", "opId")
        buId = configMainProperties.get("config", "buId")
        dateTimeFormat = configMainProperties.get("config", "dateTimeFormat", raw=True)
        dateFormat = configMainProperties.get("config", "dateFormat", raw=True)
        entityType = json.loads(configProperties.get("config", "entityType"))
        adminVariableValue = None
        dfDataSet = pd.DataFrame()
        dfMigMasterFailed = pd.DataFrame()
        failedEntities = {}
        cassPath = os_environ.get('CASSANDRA_HOME')
        df_ref_inter_type = pd_DataFrame()

        if Variable.get("odsBulkMigration_Interaction", None):
            adminVariableValue = Variable.get("odsBulkMigration_Interaction", None)
            print('Airflow UI variable value assigned {odsBulkMigration_Interaction: %s}' % adminVariableValue)

        if not adminVariableValue:
            raise Exception("adminVariableValue{odsBulkMigration_Interaction} value not set.")
        adminVariableValue = json.loads(adminVariableValue)

        if 'entityId' in adminVariableValue.keys() and adminVariableValue['entityId'] == 'Interaction':
            entityId = adminVariableValue['entityId']
        else:
            raise Exception("entityId not set or entityId is not Interaction.")

        if ('batchId' in adminVariableValue.keys() and adminVariableValue['batchId'] != ''):
            batchId = int(adminVariableValue['batchId'])
            print("batchId: %s [UI defined]" % batchId)
        else:
            raise Exception("batchId not present or batchId value is not valid")

        if not cassPath:
            raise Exception("CASSANDRA_HOME not configured.")

        if ('opId' in adminVariableValue.keys() and adminVariableValue['opId']):
            opId = adminVariableValue['opId']
            print("opId   : %s [UI defined]" % opId)

        if ('buId' in adminVariableValue.keys() and adminVariableValue['buId']):
            buId = adminVariableValue['buId']
            print("buId   : %s [UI defined]" % buId)

        # Cassandra database connection
        ##dbConnectRetVal = setCassandraDBConnection(configMainProperties)
        # --Invoke utility based function
        dbConnectRetVal = setCassandraDBConnection(pandas_enabled=True)
        if not dbConnectRetVal[0]:
            raise Exception("Cassandra database connection failed: " + dbConnectRetVal[1])
        cassDbSession = dbConnectRetVal[1]
        print("Cassandra database connection established")

        # Source database connection
        # dbConnectRetVal = setSourceConnection(configMainProperties)
        # --Invoke utility based function
        dbConnectRetVal = setDbEngine()
        if not dbConnectRetVal[0]:
            raise Exception("Source database connection failed: " + dbConnectRetVal[1])
        sourceDbEngine = dbConnectRetVal[1]
        print("Source database connection established")

        print("opId                : %s" % opId)
        print("buId                : %s" % buId)
        print("cassPath            : %s" % cassPath)

        for indx in entityType:
            if configProperties.has_section(indx):
                print("-------- PROCESSING ENTITY: %s ----------------" % indx)
                if configProperties.has_option(indx, "datasets"):
                    dataset = json.loads(configProperties.get(indx, "datasets"))
                    print("dataset: %s" % dataset)
                if configProperties.has_option(indx, "datasets"):
                    dataset = json.loads(configProperties.get(indx, "datasets"))
                    print("dataset: %s" % dataset)
                    for indxDS in dataset:
                        if over_ride == 'YES' and indxDS == 'stageData':
                            continue  # skip stageData dataset processing
                        print("--- Processing dataset: %s" % indxDS)
                        query = configProperties.get(indx, indxDS + ".query", raw=True)
                        columnsForComparison = json.loads(configProperties.get(indx, indxDS + ".columnsForComparison"))
                        lkupColumns = json.loads(configProperties.get(indx, indxDS + ".lkupColumns"))
                        joinCondition = configProperties.get(indx, indxDS + ".joinCondition", raw=True)
                        primaryKey = configProperties.get(indx, indxDS + ".primaryKey",
                                                          raw=True) if configProperties.has_option(indx,
                                                                                                   indxDS + ".primaryKey") else None
                        dateTimeColumns = json.loads(
                            configProperties.get(indx, indxDS + ".dateTimeColumns")) if configProperties.has_option(
                            indx, indxDS + ".dateTimeColumns") else []
                        dateColumns = json.loads(
                            configProperties.get(indx, indxDS + ".dateColumns")) if configProperties.has_option(indx,
                                                                                                                indxDS + ".dateColumns") else []
                        columnsToRemove = json.loads(
                            configProperties.get(indx, indxDS + ".columnsToRemove")) if configProperties.has_option(
                            indx, indxDS + ".columnsToRemove") else []
                        connDatabase = configProperties.get(indx, indxDS + ".database",
                                                            raw=True) if configProperties.has_option(indx,
                                                                                                     indxDS + ".database") else None
                        columnsToInt = json.loads(
                            configProperties.get(indx, indxDS + ".columnsToInt")) if configProperties.has_option(indx,
                                                                                                                 indxDS + ".columnsToInt") else []
                        columnsToText = json.loads(
                            configProperties.get(indx, indxDS + ".columnsToText")) if configProperties.has_option(indx,
                                                                                                                  indxDS + ".columnsToText") else []

                        if 'homm_batch' in query.lower():
                            query = (configProperties.get(indx, indxDS + ".query", raw=True) % (batchId))
                        elif "op_id='%s'" in query.lower().replace(' ', '') and "bu_id='%s'" in query.lower().replace(
                                ' ', ''):
                            query = (configProperties.get(indx, indxDS + ".query", raw=True) % (opId, buId))

                        if indxDS == "stageData":
                            dfSrcData = cassDbSession.execute(query, timeout=1000)
                            dfSrcData = dfSrcData._current_rows
                            dfSrcData.columns = dfSrcData.columns.str.lower()
                            print("dfSrcData", type(dfSrcData))
                            print("Extracted           : %s [%s]" % (len(dfSrcData), indxDS))
                            if len(dfSrcData) == 0:
                                raise Exception("Entity Interaction not stagged for batch[%s]" % batchId)
                            dfSrcData['homm_entity_value'] = dfSrcData['homm_entity_value'].astype(str)
                            dfDataSet = dfSrcData.copy().loc[(dfSrcData['homm_entity_status'] == 'staged')]
                            print("homm_entity_status  : %s [Filter]" % (len(dfDataSet)))
                            if len(dfDataSet) == 0:
                                raise Exception(
                                    "Entity Interaction not stagged for batch[%s] after filter=staged" % batchId)
                            dfMigMasterFailed = dfSrcData.copy()
                        else:
                            if not (len(lkupColumns) > 0 and len(columnsForComparison) > 0 and joinCondition):
                                raise Exception(
                                    "Merge entity lkupColumns/columnsForComparison/joinCondition not defined properly")

                            dfSrcData = pd.read_sql(query, con=sourceDbEngine)
                            dfSrcData.columns = dfSrcData.columns.str.lower()
                            print("Extracted           : %s [%s]" % (len(dfSrcData), indxDS))
                            if over_ride != 'YES' and indxDS != 'interaction':
                                if len(dfSrcData) == 0:
                                    raise Exception("Entity Interaction failed in traversing datasets.")



                            print("dfDataSet           : %s [Before Merge]" % len(dfDataSet))
                            if over_ride == 'YES' and indxDS != 'interaction':
                                dfDataSet = dfDataSet.copy().merge(dfSrcData
                                                                   , how=joinCondition
                                                                   , left_on=lkupColumns
                                                                   , right_on=columnsForComparison
                                                                   )
                            if over_ride == 'YES' and indxDS == 'interaction':
                                dfDataSet=dfSrcData.copy()


                            print("dfDataSet           : %s [After Merge]" % len(dfDataSet))
                            print("Columns             : %s" % (list(dfDataSet)))
                            if len(dfDataSet) == 0:
                                raise Exception("LOST RECORDS POST MERGE")

                            dfDataSet.drop_duplicates(subset=None, keep='first', inplace=True)
                            if over_ride != 'YES' and indxDS != 'interaction':
                                if len(columnsToRemove) > 0:
                                    print("columnsToRemove     : %s {%s}" % (columnsToRemove, type(columnsToRemove)))
                                    dfDataSet.drop(columnsToRemove, axis=1, inplace=True)

                    # endFor==dataset
                else:
                    failedEntities.update({indx: "datasets section not found"})
            else:
                failedEntities.update({indx: "entityInteraction section not found"})
        # endFor==>entityType

        # DataLoading and update Status
        if len(failedEntities):
            raise Exception("Failed entities: " + str({k: v for k, v in failedEntities.items()}))
        elif len(dfDataSet) == 0:
            raise Exception("NO RECORDS TO PROCESS")
        else:
            print("dfDataSet : type{%s}" % type(list(dfDataSet)))
            print(list(dfDataSet))
            print("")

            print("Total               : %s" % len(dfDataSet))

            tableName = 'hos_interaction'
            if not dataPopulate(tableName
                    , dfDataSet
                    , configMainProperties
                    , "_" + str(batchId)):
                raise Exception("ODS data store load failed.")

            print("Cassandra dataload submitted")

            tableName = 'hos_migration_master'
            dfDataSet['homm_entity_value'] = dfDataSet['hosi_interaction_id']
            dfDataSet['homm_batch'] = batchId
            dfDataSet['homm_entity_id'] = 'interaction'
            dfDataSet['homm_entity_status'] = 'odsStaged'
            dfDataSet['homm_updated_on'] = datetime.strftime(datetime.utcnow(), dateTimeFormat)
            if not dataPopulate(tableName
                    , dfDataSet[['homm_entity_id', 'homm_entity_status', 'homm_batch', 'homm_updated_on',
                                 'homm_entity_value']]
                    , configMainProperties
                    , "_" + str(batchId)):
                raise Exception("Staging master odsStaged update failed")

            dfDataSet['homm_entity_value'] = dfDataSet['homm_entity_value'].astype(str)
            dfMigMasterFailed = dfMigMasterFailed[['homm_entity_value']].merge(dfDataSet[['homm_entity_value']]
                                                                               , how='left'
                                                                               , on=['homm_entity_value']
                                                                               , indicator=True
                                                                               ).loc[lambda x: x['_merge'] != 'both']
            print("dfMigMasterFailed   : %s" % len(dfMigMasterFailed))
            dfMigMasterFailed['homm_batch'] = batchId
            dfMigMasterFailed['homm_entity_id'] = 'interaction'
            dfMigMasterFailed['homm_entity_status'] = 'odsFailed'
            dfMigMasterFailed['homm_updated_on'] = datetime.strftime(datetime.utcnow(), dateTimeFormat)
            if not dataPopulate(tableName
                    , dfMigMasterFailed[['homm_entity_id', 'homm_entity_status', 'homm_batch',
                                         'homm_entity_value']]
                    , configMainProperties
                    , "_" + str(batchId) + "_Failed"):
                raise Exception("Staging master odsFailed update failed")
        # endIf
        print("SUCCESS")
        gc.collect()
    except Exception as exp:
        gc.collect()
        print("Error - {} . Line No - {} ".format(str(exp), str(sys.exc_info()[-1].tb_lineno)))
        raise AirflowException(str(exp))