Changes

app.py

@@ -115,15 +115,15 @@ def nuc_monitor(usr_start_date, usr_end_date, past_date, mongo_db_data):
                    "ST LAURENT 2": 915.0, "TRICASTIN 1": 915.0, "TRICASTIN 2": 915.0, "TRICASTIN 3": 915.0, 
                    "TRICASTIN 4": 915.0, "FESSENHEIM 1": 880.0, "FESSENHEIM 2": 880.0}
 
-
     # --------------------- INITIAL DATA CLEANING FOR MONGO DATA ------------------------ #    
 
     # # Create a DataFrame
     # mongo_data = mongo_unavs_call(usr_start_date, usr_end_date, past_date)
     # mongo_data = get_mongodb_data(usr_start_date, usr_end_date, past_date)
-
+    # print(mongo_db_data)
     mongo_df = pd.DataFrame(mongo_db_data)
 
+    # print(mongo_df)
     # Unpack the dictionaries into separate columns
     mongo_df_unpacked = pd.json_normalize(mongo_df['generation_unavailabilities'])
 
@@ -132,7 +132,6 @@ def nuc_monitor(usr_start_date, usr_end_date, past_date, mongo_db_data):
 
     # Drop the original column
     mongo_df_result.drop(columns=['generation_unavailabilities'], inplace=True)
-    mongo_df_columns = mongo_df_result.columns
 
     mongo_df_result['start_date'] = mongo_df_result['values'].apply(lambda x: x[0]['start_date'])
     mongo_df_result['end_date'] = mongo_df_result['values'].apply(lambda x: x[0]['end_date'])
@@ -164,7 +163,7 @@ def nuc_monitor(usr_start_date, usr_end_date, past_date, mongo_db_data):
 
     # nuclear_unav = mongo_unavs.copy()[(mongo_unavs.copy()["production_type"] == "NUCLEAR") & (mongo_unavs.copy()["updated_date"] <= past_date_str)]
     nuclear_unav = mongo_unavs.copy()[(mongo_unavs.copy()["production_type"] == "NUCLEAR") & (mongo_unavs.copy()["updated_date"] <= past_date_str)
-                                      & (mongo_unavs.copy()["status"] != "DISMISSED")]
+                                    & (mongo_unavs.copy()["status"] != "DISMISSED")]
 
     # if photo_date == True:
     #     nuclear_unav = merged_df.copy()[(merged_df.copy()["production_type"] == "NUCLEAR") & (merged_df.copy()["updated_date"] <= past_date_str)]
@@ -199,22 +198,11 @@ def nuc_monitor(usr_start_date, usr_end_date, past_date, mongo_db_data):
     # This means that the actual unavailability is something else
     # filtered_df = filtered_id_df.copy()[(filtered_id_df.copy()['start_date'] <= end_date_str) & (filtered_id_df.copy()['end_date'] >= start_date_str)]
     filtered_df = filtered_id_df.copy()
-    # 2022-11 a 2023-03
-    print("filtered_df\n", filtered_df)
-    filtered_df_chooz = filtered_df[filtered_df["name"] == "CHOOZ 2"]
 
-    print(filtered_df_chooz[["name", "message_id", "creation_date", "updated_date", "status", "available_capacity"]])
 
 # --------------------------- !!!!!!!!!!!!!!!!!!!!!!! HERE IS POTENTIAL ERROR!!!!!!!!!!!!!!!!!!!!!!! --------------------------- #
 
-#     # Create a boolean mask to identify rows where status is "Dismissed"
-    # mask_dismissed = filtered_df["status"] == "DISMISSED"
-
-    # print(filtered_df["status"])
-    # print(filtered_df[mask])
-
     # Update available_capacity where the condition is True
-    # filtered_df.loc[mask_dismissed, "available_capacity"] = filtered_df.loc[mask_dismissed, "installed_capacity"]
 
     # Standardize datetime in dataframe
     filtered_df2 = filtered_df.copy() # This code will just standardize datetime stuff
@@ -293,7 +281,7 @@ def nuc_monitor(usr_start_date, usr_end_date, past_date, mongo_db_data):
         sorted_results[key] = sorted(value, key=lambda x: x['updated_date'])
 
     results_sorted = sorted_results
- 
+
     dates_of_interest = [start_date] # We are creating a list of dates ranging from user specified start and end dates
     date_plus_one = start_date