add total chlorine flow parameter

app.py

@@ -45,9 +45,6 @@ def recommend_best_parameters():
                                   payload="live_query",
                                   absolute_time=absolute_time)
     df_input = live_data_puller.get_data()
-    df_input["Bharuch-Unit 2.CTCMP.Stage IIA - Chlorination & Neutralization-I.Reactor R-7204.total_chlorine_flow"] = \
-        df_input["Bharuch-Unit 2.CTCMP.Stage IIA - Chlorination & Neutralization-I.Reactor R-7204.Flow 3"] + \
-        df_input["Bharuch-Unit 2.CTCMP.Stage IIA - Chlorination & Neutralization-I.Reactor R-7204.Flow 5"]
     data_dict = df_input.to_dict(orient="records")
     logger.debug("Input Data Received")
     optimizer = ParameterOptimization()

scripts/core/recommender/parameter_optimizer.py

@@ -247,6 +247,10 @@ class ParameterOptimization(object):
     def find_optimum(self, data_dict, add_predict, controllable=False):
         logger.info("Finding optimum data for the last received live data.")
         df_validate = pd.DataFrame(data_dict)
+        df_validate["Bharuch-Unit 2.CTCMP.Stage IIA - Chlorination & Neutralization-I.Reactor R-7204.total_chlorine_flow"] = \
+            df_validate["Bharuch-Unit 2.CTCMP.Stage IIA - Chlorination & Neutralization-I.Reactor R-7204.Flow 3"] + \
+            df_validate["Bharuch-Unit 2.CTCMP.Stage IIA - Chlorination & Neutralization-I.Reactor R-7204.Flow 5"]
+        data_1 = df_validate
         original_data = df_validate.to_dict(orient="records")[0]
         df_validate = df_validate[PARAMETER_INPUT]
         # print("df_validate =", df_validate)