From 375c5545a5951404373a9d06500798d78088ecbd Mon Sep 17 00:00:00 2001 From: Khalim Conn-Kowlessar Date: Wed, 24 Jul 2024 16:22:35 +0100 Subject: [PATCH] minor --- backend/app/plan/router.py | 2 -- recommendations/HeatingRecommender.py | 3 ++- 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/backend/app/plan/router.py b/backend/app/plan/router.py index 3d2755c2..00e73b56 100644 --- a/backend/app/plan/router.py +++ b/backend/app/plan/router.py @@ -503,8 +503,6 @@ async def trigger_plan(body: PlanTriggerRequest): for key, scored in predictions_dict.items(): all_predictions[key] = pd.concat([all_predictions[key], scored]) - prediction_df = all_predictions["heating_cost_predictions"] - # Insert the predictions into the recommendations and run the optimiser # TODO: If a recommendation has a negative impact on SAP, we should remove it - this seems to have become a # possibility with heating system diff --git a/recommendations/HeatingRecommender.py b/recommendations/HeatingRecommender.py index 03415d9c..07bac2cd 100644 --- a/recommendations/HeatingRecommender.py +++ b/recommendations/HeatingRecommender.py @@ -86,7 +86,8 @@ class HeatingRecommender: electic_heating_has_mains = self.has_electric_heating_description and self.property.data["mains-gas-flag"] portable_heaters_has_mains = ( - self.property.main_heating["clean_description"] in ["Portable electric heaters assumed for most rooms"] and + self.property.main_heating["clean_description"] in ["Portable electric heaters assumed for most rooms"] + and self.property.data["mains-gas-flag"] )