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Author SHA1 Message Date
Khalim Conn-Kowlessar
31da90f5eb feat(modelling): persist recommendation.material_id from the catalogue
Expand half of the recommendation_materials retirement (ADR-0017). A
Plan Measure installs a single Product, so thread its catalogue id end to
end — Product.id -> MeasureOption.material_id -> PlanMeasure.material_id
-> recommendation.material_id — replacing the per-material BOM child
table with one nullable column on the row. ProductPostgresRepository
reads the id from MaterialRow; the four fabric generators set it on their
Option; the orchestrator carries it onto the Plan Measure; the mirror
declares + maps the column. Optional throughout (the JSON stopgap
catalogue carries no ids -> NULL).

The multi-measure integration test now pins each persisted measure's
material_id to its seeded MaterialRow id. Migration spec (live column
must be added before this deploys; contraction is the owner's next step)
in docs/migrations/recommendation-material-id.md.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-04 08:26:58 +00:00
Khalim Conn-Kowlessar
631df921de feat(modelling): ventilation Recommendation Generator (detect + price)
recommend_ventilation(epc, products) does the same two jobs as wall/roof/floor —
detect applicability (the has_ventilation guard) and price the work (2 MEV units
+ contingency) — and returns a Recommendation. Ventilation is a Recommendation
like the others; what makes it special (forced when fabric is selected, excluded
from the free pool) stays in the Measure Dependency layer. Detect + price now
live in generators/, not inline in measure_dependency.py. Note it is NOT run by
the candidate-pool runner — it is consumed only by the dependency path.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-03 14:01:14 +00:00
Khalim Conn-Kowlessar
84ec6da032 refactor(modelling): group domain/modelling into generators/scoring/optimisation
domain/modelling/ had grown to 15 flat modules. Group the behavioural ones into
subpackages — generators/ (wall/roof/floor Recommendation Generators), scoring/
(overlay applicator, package scorer, role-1/3 scoring), optimisation/ (optimiser
+ measure dependency) — and leave the shared value-object vocabulary
(recommendation, plan, scenario, product, contingencies, simulation) flat at the
top, since it is imported everywhere. Pure move + import-path rewrite across 89
import sites; no behaviour change. 136 pass, pyright strict clean.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-03 13:48:36 +00:00