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fixed issue when phase is 0

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This commit is contained in:
Khalim Conn-Kowlessar 2026-02-24 19:34:51 +00:00
parent 90af1b156e
commit de360ab866
3 changed files with 5 additions and 3 deletions
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2
.idea/Model.iml generated
View file

@ -7,7 +7,7 @@
<sourceFolder url="file://$MODULE_DIR$/open_uprn" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/recommendations" isTestSource="false" />
</content>
<orderEntry type="jdk" jdkName="Fastapi-backend" jdkType="Python SDK" />
<orderEntry type="jdk" jdkName="Python 3.9 (Stonewater Map App)" jdkType="Python SDK" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
</module>

2
.idea/misc.xml generated
View file

@ -3,7 +3,7 @@
<component name="Black">
<option name="sdkName" value="Python 3.10 (backend)" />
</component>
<component name="ProjectRootManager" version="2" project-jdk-name="Fastapi-backend" project-jdk-type="Python SDK" />
<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.9 (Stonewater Map App)" project-jdk-type="Python SDK" />
<component name="PyCharmProfessionalAdvertiser">
<option name="shown" value="true" />
</component>

4
recommendations/Recommendations.py
View file

@ -582,6 +582,7 @@ class Recommendations:
if rec_phase == starting_phase:
return {
"sap": float(property_instance.data["current-energy-efficiency"]),
"sap_prediction": float(property_instance.data["current-energy-efficiency"]),
"carbon": float(property_instance.data["co2-emissions-current"]),
"heat_demand": float(property_instance.data["energy-consumption-current"]),
}
@ -599,12 +600,13 @@ class Recommendations:
if not previous_phase_reps:
return {
"sap": float(property_instance.data["current-energy-efficiency"]),
"sap_prediction": float(property_instance.data["current-energy-efficiency"]),
"carbon": float(property_instance.data["co2-emissions-current"]),
"heat_demand": float(property_instance.data["energy-consumption-current"]),
}
# Median fallback (including zero-length case)
keys = ("sap", "carbon", "heat_demand")
keys = ("sap", "sap_prediction", "carbon", "heat_demand")
return {
key: np.median([item[key] for item in previous_phase_reps])
for key in keys