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Khalim Conn-Kowlessar bb2c0068ff feat(modelling): price the cavity Option from area x Product — closes #1155 
recommend_cavity_wall now takes a ProductRepository and prices the Measure
Option: Cost(total = gross_heat_loss_wall_area(MAIN) x product.unit_cost_per_m2,
contingency_rate = product.contingency_rate). Detection is unchanged and runs
before pricing, so ineligible walls still return None without a catalogue hit.

Completes #1155 — the cavity-wall Recommendation Generator now detects an
uninsulated main cavity wall and emits a priced Option carrying the filled-
cavity overlay. Four behaviour tests (detection x3 + fully-loaded cost).
pyright strict clean.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-03 08:35:52 +00:00
..
__init__.py feat(modelling): Overlay Applicator folds EpcSimulation onto EpcPropertyData 2026-06-02 22:13:51 +00:00
contingencies.py feat(modelling): ProductRepository + Postgres materials-table source 2026-06-03 08:32:38 +00:00
overlay_applicator.py feat(modelling): Overlay Applicator folds EpcSimulation onto EpcPropertyData 2026-06-02 22:13:51 +00:00
product.py feat(modelling): ProductRepository + Postgres materials-table source 2026-06-03 08:32:38 +00:00
recommendation.py feat(modelling): wall Recommendation Generator — cavity-fill detection + overlay 2026-06-02 22:49:33 +00:00
simulation.py feat(modelling): Overlay Applicator folds EpcSimulation onto EpcPropertyData 2026-06-02 22:13:51 +00:00
wall_recommendation.py feat(modelling): price the cavity Option from area x Product — closes #1155 2026-06-03 08:35:52 +00:00