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refactoring simialtion_epcs

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Khalim Conn-Kowlessar 2024-08-07 19:07:08 +01:00
parent 9a62184ab5
commit a2834a180e
1 changed files with 38 additions and 59 deletions
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97
backend/Property.py
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@ -376,72 +376,51 @@ class Property:
)
self.recommendations_scoring_data.append(scoring_dict)
# We also use the representative recommendations to produce transformed EPCs
represenative_recs_to_this_phase = [
r for r in property_representative_recommendations
if r["phase"] <= phase
]
simulation_epc = self.epc_record.prepared_epc.copy()
# Insert static values
simulation_epc["lodgement_date"] = simulation_lodgment_date
simulation_epc = {k.replace("_", "-"): v for k, v in simulation_epc.items()}
# TODO: This is placeholder, but it's to handle the case of having both internal and external wall
# insulation as options. This will cause the process below to fall over, so we take just
# external wall insulation in epc_transformations, if we have both
types = [
x["type"] for x in represenative_recs_to_this_phase
]
if "external_wall_insulation" in types and "internal_wall_insulation" in types:
types = [x["type"] for x in previous_phase_representatives]
if "external_wall_insulation" in types and "internal_wall_insulation" in types:
raise Exception("We shouldn't have this in the representative recommendations")
epc_transformations = [
x["description_simulation"] for x in represenative_recs_to_this_phase if
x["type"] != "internal_wall_insulation"
]
else:
epc_transformations = [
x["description_simulation"] for x in represenative_recs_to_this_phase
x["description_simulation"] for x in previous_phase_representatives
]
# It is possible that we could have two simulations applied to the same descriptions
# We extract these out
phase_epc_transformation = {}
for config in epc_transformations:
for k, v in config.items():
if k in phase_epc_transformation:
if "-energy-eff" in k:
# We take the highest value
if phase_epc_transformation[k] == "Very Good":
# It is possible that we could have two simulations applied to the same descriptions
# We extract these out
phase_epc_transformation = {}
for config in epc_transformations:
for k, v in config.items():
if k in phase_epc_transformation:
if "-energy-eff" in k:
# We take the highest value
if phase_epc_transformation[k] == "Very Good":
continue
elif phase_epc_transformation[k] == "Good":
if v == "Very Good":
phase_epc_transformation[k] = v
elif phase_epc_transformation[k] == "Average":
if v in ["Good", "Very Good"]:
phase_epc_transformation[k] = v
elif phase_epc_transformation[k] == "Poor":
if v in ["Average", "Good", "Very Good"]:
phase_epc_transformation[k] = v
else:
phase_epc_transformation[k] = v
continue
elif phase_epc_transformation[k] == "Good":
if v == "Very Good":
phase_epc_transformation[k] = v
elif phase_epc_transformation[k] == "Average":
if v in ["Good", "Very Good"]:
phase_epc_transformation[k] = v
elif phase_epc_transformation[k] == "Poor":
if v in ["Average", "Good", "Very Good"]:
phase_epc_transformation[k] = v
else:
phase_epc_transformation[k] = v
continue
if phase_epc_transformation[k] == v:
continue
if phase_epc_transformation[k] == v:
continue
raise NotImplementedError(
"Already have this key in the phase_epc_transformation - implement me"
)
phase_epc_transformation[k] = v
simulation_epc = self.epc_record.prepared_epc.copy()
# Insert static values
simulation_epc["lodgement_date"] = simulation_lodgment_date
# Replace the understores with hyphens
simulation_epc = {k.replace("_", "-"): v for k, v in simulation_epc.items()}
# Add in today's costs (unadjusted
simulation_epc["heating-cost-current"] = int(self.energy_cost_estimates["unadjusted"]["heating"])
simulation_epc["hot-water-cost-current"] = int(self.energy_cost_estimates["unadjusted"]["hot_water"])
simulation_epc["lighting-cost-current"] = int(self.energy_cost_estimates["unadjusted"]["lighting"])
simulation_epc.update(phase_epc_transformation)
self.simulation_epcs[phase] = simulation_epc
raise NotImplementedError(
"Already have this key in the phase_epc_transformation - implement me"
)
phase_epc_transformation[k] = v
simulation_epc.update(phase_epc_transformation)
self.simulation_epcs[rec["recommendation_id"]] = simulation_epc
def update_simulation_epcs(self, impact_summary):
"""