Model/domain/modelling/contingencies.py
Khalim Conn-Kowlessar 3c87be8e1e feat(modelling): roof (loft) Recommendation Generator + roof-area geometry
recommend_loft_insulation(epc, products) detects an uninsulated main loft
(SapBuildingPart.roof_insulation_thickness == 0) and emits a
Recommendation("Roof") with one loft_insulation Option carrying the overlay
(roof_insulation_thickness = 270 mm, the recommended top-up) and a priced
Cost (roof area x the Product's fully-loaded unit cost + contingency).

- building_geometry.roof_area(epc, identifier): the part's greatest
  per-storey floor area (RdSAP 10 §3.8). Pinned 14.85 m^2 on 000490 MAIN.
- BuildingPartOverlay gains roof_insulation_thickness; the generic Overlay
  Applicator writes it with NO change (validated by the tracer) — the
  deep-module field-fold paying off.
- loft_insulation contingency (0.10) added.

Progress on #1158 (generator + geometry); end-to-end + Elmhurst pin pending
the orchestrator (#1157) and the parser fix. Four behaviour tests
(geometry pin; detect / none / cost). pyright strict clean.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-03 09:05:38 +00:00

22 lines
771 B
Python

"""Per-Measure-Type contingency rates.
The one cost component carried separately from a Product's fully-loaded total
(CONTEXT.md). Mirrors the legacy `recommendations/Costs.py::Costs.CONTINGENCIES`;
extended as each measure type lands.
"""
_CONTINGENCY_RATES: dict[str, float] = {
"cavity_wall_insulation": 0.10,
"loft_insulation": 0.10,
}
def contingency_rate(measure_type: str) -> float:
"""Return the contingency rate for a Measure Type, raising if unknown
(strict — do not silently default, per the repo's strict-raise convention)."""
try:
return _CONTINGENCY_RATES[measure_type]
except KeyError as exc:
raise ValueError(
f"no contingency rate configured for measure type {measure_type!r}"
) from exc