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handling divising by zero sap points
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1 changed files with 7 additions and 4 deletions
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@ -242,13 +242,13 @@ class Recommendations:
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# We also need to create the representative recommendations for each recommendation type
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property_representative_recommendations = self.create_representative_recommendations(
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property_recommendations, non_invasive_recommendations=self.property_instance.non_invasive_recommendations
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property_recommendations,
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)
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return property_recommendations, property_representative_recommendations
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@staticmethod
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def create_representative_recommendations(property_recommendations, non_invasive_recommendations):
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def create_representative_recommendations(property_recommendations):
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"""
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This method will create a representative recommendation for each recommendation type
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In order to create a representative recommendation, we choose the recommendation that has:
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@ -302,7 +302,10 @@ class Recommendations:
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elif not has_u_value and has_sap_points:
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# Sort the options by the cost per SAP point improvement - the lower the better
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for rec in recommendations:
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rec["efficiency"] = rec["total"] / rec["sap_points"]
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if rec["sap_points"] == 0:
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rec["efficiency"] = 0
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else:
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rec["efficiency"] = rec["total"] / rec["sap_points"]
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elif has_rank:
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# Sort the options by rank - the lower the better
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for rec in recommendations:
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@ -581,7 +584,7 @@ class Recommendations:
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"heating_cop": mapped["cop"], "hotwater_cop": 1
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}
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mapped_hotwater = DESCRIPTIONS_TO_FUEL_TYPES[hotwater_description]
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mapped_hotwater = assumptions.DESCRIPTIONS_TO_FUEL_TYPES[hotwater_description]
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return {
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"heating_fuel_type": heating_fuel, "hotwater_fuel_type": mapped_hotwater["fuel"],
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