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Merge pull request #482 from Hestia-Homes/funding-engine

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Funding engine
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KhalimCK 2025-08-22 04:11:59 +01:00 • committed by GitHub
commit de61f0f01b
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GPG key ID: B5690EEEBB952194
2 changed files with 17 additions and 11 deletions
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2
recommendations/SolarPvRecommendations.py
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@ -264,7 +264,7 @@ class SolarPvRecommendations:
scaffolding_options=self.scaffolding_options,
n_floors=self.property.number_of_floors
)
description = solar_pv_product['description']
description = f"solar_pv_product['description'] - {solar_pv_product['size']} kWp system"
if self.property.in_conservation_area:
description += " Property is in a consevation area - please check with local planning authority."

26
recommendations/optimiser/funding_optimiser.py
View file

@ -21,7 +21,7 @@ from backend.Funding import Funding
logger = setup_logger()
# measures we DO NOT treat as fundable in the ECO4 'funded' pass
_ECO4_EXCLUDE_TYPES = {"secondary_heating"}
_ECO4_EXCLUDE_TYPES = {"secondary_heating", "extension_cavity_wall_insulation", "sealing_open_fireplace"}
def _path_scheme(path_spec):
@ -314,11 +314,17 @@ def optimise_with_funding_paths(p, input_measures, housing_type, funding: Fundin
# 4) run your existing optimiser for the remaining groups
# If we have a budget, we need to ensure the subproblem respects it so we remove the fixed cost (which
# may already be over budget) and the fixed gain (which may not be achievable)
picked, sub_cost, sub_gain = run_optimizer(
sub_measures,
budget - fixed_cost if budget is not None else None,
sub_target_gain=target_gain - fixed_gain if target_gain is not None else None
)
if fixed_gain > target_gain:
picked, sub_cost, sub_gain = ([], 0.0, 0.0)
elif fixed_gain < target_gain and not sub_measures:
picked, sub_cost, sub_gain = ([], 0.0, 0.0)
else:
picked, sub_cost, sub_gain = run_optimizer(
sub_measures,
budget - fixed_cost if budget is not None else None,
sub_target_gain=target_gain - fixed_gain if target_gain is not None else None
)
if picked is None:
continue
@ -346,14 +352,14 @@ def optimise_with_funding_paths(p, input_measures, housing_type, funding: Fundin
# We find the indexes of the picked types
picked_group_index = {}
for pt in picked_types:
for gi, grp in enumerate(optimisation_input_measures):
for gi, grp in enumerate(input_measures):
if any(pt in opt["type"] for opt in grp):
picked_group_index[pt] = gi
break
# We get the remaining types
# ECO4 case
remaining = []
for i, grp in enumerate(optimisation_input_measures):
for i, grp in enumerate(input_measures):
if i in picked_group_index.values():
continue
keep = [x for x in grp if x["type"] not in picked_types]
@ -677,8 +683,8 @@ def _make_solar_heating_funding_paths(
# Solar PV with existing eligible heating system
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
has_eligible_heating_system = funding.check_solar_eligible_heating_system(
mainheat_description=p.main_heating["clean_description"],
heating_control_description=p.main_heating_controls["clean_description"]
mainheat_description=p.main_heating["clean_description"].lower(),
heating_control_description=p.main_heating_controls["clean_description"].lower()
)
if has_eligible_heating_system and _find_measure(input_measures, "solar_pv"):