From 86dd6efdc387a2b6c67a9244db3382d6fe7896ab Mon Sep 17 00:00:00 2001
From: Khalim Conn-Kowlessar <kconnkowlessar@gmail.com>
Date: Fri, 19 Jan 2024 11:27:51 +0000
Subject: [PATCH] fixed bug in lighting outlets cleaning

---
 backend/app/plan/router.py | 20 ++++++++++++--------
 etl/epc/Record.py          |  2 +-
 2 files changed, 13 insertions(+), 9 deletions(-)

diff --git a/backend/app/plan/router.py b/backend/app/plan/router.py
index 521ec615..d3471e8f 100644
--- a/backend/app/plan/router.py
+++ b/backend/app/plan/router.py
@@ -66,14 +66,18 @@ async def trigger_plan(body: PlanTriggerRequest):
         )
 
         # For testing:
-        # plan_input.extend(
-        #     [
-        #         {'address': '73 Long Chaulden', 'postcode': 'HP1 2HX', 'Notes': ''},
-        #         {'address': '8 Lindlings', 'postcode': 'HP1 2HA', 'Notes': ''},
-        #         {'address': '44 Lindlings', 'postcode': 'HP1 2HE', 'Notes': ''},
-        #         {'address': '46 Chaulden Terrace', 'postcode': 'HP1 2AN', 'Notes': ''},
-        #     ]
-        # )
+        plan_input.extend(
+            [
+                {'address': '73 Long Chaulden', 'postcode': 'HP1 2HX', 'Notes': ''},
+                {'address': '8 Lindlings', 'postcode': 'HP1 2HA', 'Notes': ''},
+                {'address': '44 Lindlings', 'postcode': 'HP1 2HE', 'Notes': ''},
+                {'address': '46 Chaulden Terrace', 'postcode': 'HP1 2AN', 'Notes': ''},
+                {'address': '4, Heather Shaw', 'postcode': 'BA14 7JS', 'Notes': ''},
+                {'address': '16 Glastonbury Road', 'postcode': 'M32 9PE', 'Notes': ''},
+                {'address': '31 Loddon Way', 'postcode': 'BA15 1HG', 'Notes': ''},
+                {'address': '62 Pearmain Drive', 'postcode': 'NG3 3DJ', 'Notes': ''},
+            ]
+        )
 
         input_properties = []
         for config in plan_input:
diff --git a/etl/epc/Record.py b/etl/epc/Record.py
index 4474baf1..cdbafd7e 100644
--- a/etl/epc/Record.py
+++ b/etl/epc/Record.py
@@ -389,7 +389,7 @@ class EPCRecord:
 
                 cleaned_property_data = EPCDataProcessor.apply_averages_cleaning(
                     data_to_clean=self.epc_record_as_dataframe("prepared_epc", replace_empty_string=True),
-                    cleaning_data=self.cleaning_data,
+                    cleaning_data=cleaning_data,
                     cols_to_merge_on=['PROPERTY_TYPE', 'BUILT_FORM', 'CONSTRUCTION_AGE_BAND', 'LOCAL_AUTHORITY'],
                 )
                 self.prepared_epc["fixed-lighting-outlets-count"] = round(