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192 lines
8 KiB
Python
192 lines
8 KiB
Python
from typing import List
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import numpy as np
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from backend.Property import Property
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from etl.epc_clean.epc_attributes.WindowAttributes import WindowAttributes
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from recommendations.Costs import Costs
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from recommendations.recommendation_utils import override_costs, check_simulation_difference
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class WindowsRecommendations:
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# If the property has existing glazing, we scale down the number of windows that need to be glazed
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COVERAGE_MAP = {
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# If most of the windows have already been glazed, we assume that 2/3 are glazed and 1/2 are remaining to be
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# glazed
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"most": 0.33,
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# If glazing is partial, we assume 50/50 split between glazed and unglazed
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"partial": 0.5,
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}
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def __init__(self, property_instance: Property, materials: List):
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self.property = property_instance
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self.costs = Costs(self.property)
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self.recommendation = []
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self.glazing_material = [
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material for material in materials if material["type"] == "windows_glazing"
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]
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if len(self.glazing_material) != 1:
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raise ValueError("There should only be one window glazing material")
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self.glazing_material = self.glazing_material[0]
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def recommend(self, phase=0):
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"""
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This method will recommend the best possible glazing options for a property.
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In order to do this, we need to estimate the number of windows that the home has. This information will be
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stored in the property object, under property.number_of_windows
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:return:
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"""
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# If the property is in a conservation area or is a listed building, it becomes more difficult to install
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# double glazing. Therefore, we don't recommend it. It is still possible but is not practical as it
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# requires planning permission and might require a more expensive window type, such as timber.
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number_of_windows = self.property.number_of_windows
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is_secondary_glazing = self.property.restricted_measures or (
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self.property.windows["glazing_type"] == "secondary"
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)
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windows_area = self.property.windows_area
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if not number_of_windows:
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raise ValueError("Number of windows not specified")
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if self.property.windows["has_glazing"] & (
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self.property.windows["glazing_coverage"] == "full"
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):
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return
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if windows_area is not None:
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raise Exception("We have windows area, we should use this data for our recommendations!!!")
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# We scale the number of windows based on the proportion of existing glazing
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if self.property.data["multi-glaze-proportion"] != "":
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n_windows_scalar = 1 - (
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int(self.property.data["multi-glaze-proportion"]) / 100
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)
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else:
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n_windows_scalar = self.COVERAGE_MAP.get(
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self.property.windows["glazing_coverage"], 1
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)
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number_of_windows *= n_windows_scalar
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number_of_windows = np.ceil(number_of_windows)
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# We then price the job based on the number of windows that there are
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cost_result = self.costs.window_glazing(
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number_of_windows=number_of_windows,
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material=self.glazing_material,
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is_secondary_glazing=is_secondary_glazing,
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)
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already_installed = "windows_glazing" in self.property.already_installed
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if already_installed:
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cost_result = override_costs(cost_result)
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description = "The property already has double glazing installed. No further action is required."
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else:
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glazing_type = (
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"secondary glazing" if is_secondary_glazing else "double glazing"
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)
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if self.property.windows["glazing_coverage"] in ["partial", "most"]:
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description = f"Install {glazing_type} to the remaining windows"
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else:
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description = f"Install {glazing_type} to all windows"
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if self.property.is_listed:
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description += (
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". Secondary glazing recommended due to listed building status"
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)
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elif self.property.is_heritage:
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description += (
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". Secondary glazing recommended due to herigate building status"
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)
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elif self.property.in_conservation_area:
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description += (
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". Secondary glazing recommended due to conservation area status"
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)
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self.recommendation = [
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{
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"phase": phase,
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"parts": [],
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"type": "windows_glazing",
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"description": description,
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"starting_u_value": None,
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"new_u_value": None,
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"sap_points": None,
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"already_installed": already_installed,
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**cost_result,
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"is_secondary_glazing": is_secondary_glazing,
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# TODO: Make this condition on is_secondary_glazing
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"description_simulation": {
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"multi-glaze-proportion": 100,
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"windows-energy-eff": "Average",
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"windows-description": "Fully double glazed",
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"glazed-type": "double glazing installed during or after 2002",
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}
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}
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]
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def recommend_mixed_glazing(self, phase):
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"""
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This function will recommend mixed glazing to the property. This is a more specific recommendation than
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the general windows recommendation, but is almost certain to arise from a survey
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:return:
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"""
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mixed_glazing_recommendation_config = next(
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(r for r in self.property.non_invasive_recommendations if r["type"] == "mixed_glazing"), {}
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)
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if not mixed_glazing_recommendation_config:
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return
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description = (
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"Install a combination of secondary and double glazing to single glazed windows" if
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not mixed_glazing_recommendation_config.get("description")
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else mixed_glazing_recommendation_config["description"]
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)
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windows_ending_config = WindowAttributes("Full secondary glazing").process()
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windows_simulation_config = check_simulation_difference(
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new_config=windows_ending_config, old_config=self.property.windows, prefix="windows_"
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)
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windows_simulation_config = {
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**windows_simulation_config,
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"windows_energy_eff_ending": "Average",
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"glazed_type_ending": "secondary glazing",
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"multi_glaze_proportion_ending": 100,
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}
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return [
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{
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"phase": phase,
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"parts": [],
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"type": "mixed_glazing",
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"description": description,
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"starting_u_value": None,
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"new_u_value": None,
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"already_installed": False,
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"sap_points": mixed_glazing_recommendation_config["sap_points"],
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"heat_demand": None, # We will predict this
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"kwh_savings": None, # We will predict this
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"co2_equivalent_savings": None, # We will predict this
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"energy_cost_savings": None, # We will predict this
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"total": mixed_glazing_recommendation_config["cost"],
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# We use a very simple and rough estimate of 4 hours per unit
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"labour_hours": mixed_glazing_recommendation_config.get("labour_hours", 8),
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"labour_days": mixed_glazing_recommendation_config.get("labour_days", 1), # Assume 8 hour day
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"survey": mixed_glazing_recommendation_config["survey"],
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"simulation_config": windows_simulation_config,
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"description_simulation": {
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"multi-glaze-proportion": 100,
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"windows-energy-eff": "Average",
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"windows-description": "Multiple glazing throughout",
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"glazed-type": "secondary glazing",
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},
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}
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]
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