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change scenario data

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Michael Duong 2024-02-20 09:44:51 +00:00
parent 343039233a
commit c53e4ce849
3 changed files with 18 additions and 11 deletions
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20
backend/Property.py
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@ -128,16 +128,19 @@ class Property:
It will be the same starting and ending EPC, as we don't have the expected EPC yet
"""
difference_record = self.epc_record - self.epc_record
# difference_record = self.epc_record - self.epc_record
# TODO: change these lower and replace in the settings file
print("CHANGE THE LATEST FIELD TO REMOVE NUMBER HABITABLE ROOMS IF WE WANT TO USE STARTING/ENDING")
fixed_data_col_names = MANDATORY_FIXED_FEATURES + LATEST_FIELD
print("NEED TO CHANGE THE DASH TO LOWER CASE")
fixed_data_col_names = [x.lower().replace("_", "-") for x in fixed_data_col_names]
fixed_data = {k.replace("-", "_"): v for k, v in self.data.items() if k in fixed_data_col_names}
difference_record.append_fixed_data(fixed_data)
# difference_record.append_fixed_data(fixed_data)
difference_record = self.epc_record.create_EPCDifferenceRecord(self.epc_record, fixed_data)
self.base_difference_record = TrainingDataset(datasets=[difference_record], cleaned_lookup=cleaned_lookup)
@ -238,12 +241,15 @@ class Property:
# Note: often when the wall is insulatied, the internal/external insulation is not noted so we should
# test the impact of using these booleans
if recommendation["type"] == "external_wall_insulation":
output["external_insulation"] = True
output["internal_insulation"] = False
output["external_insulation_ending"] = True
output["internal_insulation_ending"] = False
if recommendation["type"] == "internal_wall_insulation":
output["external_insulation"] = False
output["internal_insulation"] = True
output["external_insulation_ending"] = False
output["internal_insulation_ending"] = True
if recommendation["type"] == "cavity_wall_insulation":
output['is_filled_cavity_ending'] = True
# TODO: perhaps detrimental
# When making a recommendation for the wall, we will also update the ventilation
@ -314,7 +320,7 @@ class Property:
if recommendation["type"] == "low_energy_lighting":
output["low_energy_lighting_ending"] = 100
output["lighting_energy_eff_starting"] = "Very Good"
output["lighting_energy_eff_ending"] = "Very Good"
if recommendation["type"] == "windows_glazing":
output["multi_glaze_proportion_ending"] = 100

3
etl/epc/Pipeline.py
View file

@ -24,7 +24,8 @@ from etl.epc.settings import (
# TODO: change in setting file
MANDATORY_FIXED_FEATURES = [x.lower() for x in MANDATORY_FIXED_FEATURES]
LATEST_FIELD = [x.lower() for x in LATEST_FIELD if x.lower() not in ROOM_FEATURES]
# LATEST_FIELD = [x.lower() for x in LATEST_FIELD if x.lower() not in ROOM_FEATURES]
LATEST_FIELD = [x.lower() for x in LATEST_FIELD]
COMPONENT_FEATURES = [x.lower() for x in COMPONENT_FEATURES]
RDSAP_RESPONSE = RDSAP_RESPONSE.lower()
HEAT_DEMAND_RESPONSE = HEAT_DEMAND_RESPONSE.lower()

6
etl/epc/generate_scenarios_data.py
View file

@ -183,7 +183,7 @@ for scenario_property in scenario_properties:
if "windows" in measure:
for rec in windows_recommendations:
if rec["type"] == "windows":
if rec["type"] == "windows_glazing":
windows_recs.append(rec)
combi_list = [wall_recs, loft_recs, solar_recs, windows_recs]
@ -240,8 +240,8 @@ all_predictions = model_api.predict_all(
prediction_buckets={
"sap_change_predictions": get_settings().SAP_PREDICTIONS_BUCKET,
"heat_demand_predictions": get_settings().HEAT_PREDICTIONS_BUCKET,
"carbon_change_predictions": get_settings().CARBON_PREDICTIONS_BUCKET
}
"carbon_change_predictions": get_settings().CARBON_PREDICTIONS_BUCKET,
},
)
save_dataframe_to_s3_parquet(