adding enforcing of solar across the building if one unit needs it

This commit is contained in:
Khalim Conn-Kowlessar 2025-01-24 10:24:23 +00:00
parent 0fad758fbb
commit 3ccc5eae89
5 changed files with 49 additions and 9 deletions

2
.idea/Model.iml generated
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@ -7,7 +7,7 @@
<sourceFolder url="file://$MODULE_DIR$/open_uprn" isTestSource="false" />
<sourceFolder url="file://$MODULE_DIR$/recommendations" isTestSource="false" />
</content>
<orderEntry type="jdk" jdkName="Stonewater-wave-3" jdkType="Python SDK" />
<orderEntry type="jdk" jdkName="Fastapi-backend" jdkType="Python SDK" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
<component name="PyNamespacePackagesService">

2
.idea/misc.xml generated
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@ -3,7 +3,7 @@
<component name="Black">
<option name="sdkName" value="Python 3.10 (backend)" />
</component>
<component name="ProjectRootManager" version="2" project-jdk-name="Stonewater-wave-3" project-jdk-type="Python SDK" />
<component name="ProjectRootManager" version="2" project-jdk-name="Fastapi-backend" project-jdk-type="Python SDK" />
<component name="PyCharmProfessionalAdvertiser">
<option name="shown" value="true" />
</component>

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@ -772,6 +772,32 @@ async def trigger_plan(body: PlanTriggerRequest):
]
recommendations[p.id] = final_recommendations
# when we have buildings, we tweak our solar PV recommendations as if one unit needs it, we apply it to all
# of them
# TODO: We can probably do better and optimise at the building level - this is temp
logger.info("Adjusting solar PV recommendations for buildings")
building_ids = set([p.building_id for p in input_properties if p.building_id is not None])
for bid in building_ids:
# We check if any of them have solar PV
building = [p for p in input_properties if p.building_id == bid]
has_solar = False
for unit in building:
# Get default recommendations
has_solar = len([r for r in recommendations[unit.id] if r["default"] and r["type"] == "solar_pv"]) > 0
if has_solar:
break
if has_solar:
# We adjust the units within the building
for unit in building:
for rec in recommendations[unit.id]:
if rec["type"] == "solar_pv":
# This is straightforward, we just set the default to True, since when we're at a building
# level, we only allow 1 solar PV option for each unit. If we change this, this logic will
# need to be updated
rec["default"] = True
# ~~~~~~~~~~~~~~~~
# Funding
# ~~~~~~~~~~~~~~~~

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@ -263,7 +263,7 @@ class RetrieveFindMyEpc:
"roomstat_programmer_trvs", "time_temperature_zone_control"
],
"Change heating to gas condensing boiler": ["boiler_upgrade"],
"Fan assisted storage heaters and dual immersion cylinder": ["high_heat_retention_storage_heaters"],
"Fan assisted storage heaters and dual immersion cylinder": ["high_heat_retention_storage_heater"],
"Flat roof or sloping ceiling insulation": ["flat_roof_insulation"],
"Heating controls (room thermostat)": [
"roomstat_programmer_trvs", "time_temperature_zone_control"
@ -291,7 +291,7 @@ class RetrieveFindMyEpc:
"PV Cells recommendation": [],
"Replacement glazing units": ["double_glazing"],
"Heating controls (time and temperature zone control)": ["time_temperature_zone_control"],
"High heat retention storage heaters": ["high_heat_retention_storage_heaters"],
"High heat retention storage heaters": ["high_heat_retention_storage_heater"],
"Gas condensing boiler": ["boiler_upgrade"],
"Change room heaters to condensing boiler": ["boiler_upgrade"],
"Cylinder thermostat": ["cylinder_thermostat"],

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@ -1,6 +1,5 @@
import re
import backend.app.assumptions as assumptions
from etl.customers.immo.pilot.asset_list import non_invasive_recommendations
from recommendations.Costs import Costs, BOILER_UPGRADE_SCHEME_ASHP_VALUE
from recommendations.recommendation_utils import (
check_simulation_difference, override_costs, combine_recommendation_configs
@ -632,7 +631,8 @@ class HeatingRecommender:
heating_controls_only,
system_change,
system_type,
measure_type
measure_type,
non_intrusive_recommendation=None
):
"""
Given a recommendation for heating controls, and a recommendation for the heating system, we combine the two
@ -650,8 +650,13 @@ class HeatingRecommender:
:param system_type: The type of heating system we are recommending
:param measure_type: The type of measure we are recommending - more granular than the "type" field, allowing us
to distinguish between different types of heating recommendations
:param non_intrusive_recommendation: A non-intrusive recommendation, which may specify the number of SAP points
or a cost for this recommendation
"""
if non_intrusive_recommendation is None:
non_intrusive_recommendation = {}
# We produce recommendations with & without heating controls
# We will also produce a recommendation for heating controls only
heating_controls_switch = [True, False] if controls_recommendations else [False]
@ -699,13 +704,14 @@ class HeatingRecommender:
"description": recommendation_description,
"starting_u_value": None,
"new_u_value": None,
"sap_points": None,
"sap_points": non_intrusive_recommendation.get("sap_points"),
"already_installed": already_installed,
**total_costs,
"simulation_config": recommendation_simulation_config,
"description_simulation": recommendation_description_simulation,
# We insert the heating system type here
"system_type": system_type
"system_type": system_type,
"survey": non_intrusive_recommendation.get("survey", False)
}
output.append(recommendation)
@ -808,6 +814,13 @@ class HeatingRecommender:
# No recommendation needed
return
# We check if there is a high heat retention non-intrusive recommendation
non_intrusive_recommendation = next(
(r for r in self.property.non_invasive_recommendations if
r["type"] == "high_heat_retention_storage_heater"),
{}
)
# We check if the property has dual heating in place with a boiler and storage heaters
if self.dual_heating:
new_heating_description = self.DUAL_HEATING_DESCRIPTIONS[
@ -896,7 +909,8 @@ class HeatingRecommender:
heating_controls_only=heating_controls_only,
system_change=system_change,
system_type="high_heat_retention_storage_heater",
measure_type="high_heat_retention_storage_heater"
measure_type="high_heat_retention_storage_heater",
non_intrusive_recommendation=non_intrusive_recommendation
)
if _return:
return recommendations