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integrating scoring heat and hot water models and adjusting days_to for the cost models
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1 changed files with 14 additions and 0 deletions
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@ -2,8 +2,10 @@ import os
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import ast
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from itertools import groupby
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import pandas as pd
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from datetime import datetime, timedelta
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from etl.epc.Dataset import TrainingDataset
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from etl.epc.Record import EPCRecord
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from etl.epc.settings import LATEST_FIELD, MANDATORY_FIXED_FEATURES
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from etl.epc_clean.epc_attributes.all_cleaners import all_cleaner_map
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from etl.solar.SolarPhotoSupply import SolarPhotoSupply
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@ -291,6 +293,7 @@ class Property:
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if r[0]["phase"] is not None
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]
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)
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simulation_lodgment_date = (datetime.now() - timedelta(days=1)).strftime("%Y-%m-%d")
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for phase in phases:
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property_recommendations_by_phase = [
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@ -323,6 +326,10 @@ class Property:
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0
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].copy()
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recommendation_record["days_to_ending"] = EPCRecord._calculate_days_to(
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lodgement_date=simulation_lodgment_date,
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)
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for rec in property_recommendations_by_phase:
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# We simulate the impact of the recommendation at this current phase, and all of the prior phases
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@ -355,6 +362,13 @@ class Property:
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phase_epc_transformation[k] = v
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simulation_epc = self.epc_record.prepared_epc.copy()
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# Insert static values
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simulation_epc["lodgement_date"] = simulation_lodgment_date
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# Insert today's costs, unadjusted (i.e. in line with what we expect the EPC would say today)
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simulation_epc["heating-cost-current"] = round(self.energy_cost_estimates["unadjusted"]["heating"])
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simulation_epc["lighting-cost-current"] = round(self.energy_cost_estimates["unadjusted"]["lighting"])
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simulation_epc["hot-water-cost-current"] = round(self.energy_cost_estimates["unadjusted"]["hot_water"])
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# Replace the understores with hyphens
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simulation_epc = {k.replace("_", "-"): v for k, v in simulation_epc.items()}
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simulation_epc.update(phase_epc_transformation)
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