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Author SHA1 Message Date
Khalim Conn-Kowlessar
9ef97be958 refactor(modelling): type measure_type fields as MeasureType
Tighten the recommendation/plan vocabulary off generic str:
MeasureOption.measure_type and PlanMeasure.measure_type are now MeasureType
(also _GlazingTarget.measure_type, MeasureDependency.triggers ->
frozenset[MeasureType], and the optimiser's chosen/required-type locals).
Because MeasureType is a StrEnum the change is transparent to persistence
(the `recommendation` varchar column), the optimiser group-by key, and every
`== "solar_pv"`-style comparison — so pyright now enforces the enum at every
construction site with no runtime behaviour change.

The catalogue boundary stays str: ProductRepository.get(measure_type: str)
and Product.measure_type are unchanged (they map arbitrary DB/JSON rows), so
the fake product repos in tests need no edit. Test construction helpers coerce
their str arg via MeasureType(...); direct constructions use members.

Suite green: tests/domain/modelling + orchestration + harness 253 pass + 3
xfail; pyright clean on production + tests (pre-existing moto + property-
override-rowcount baselines untouched).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-08 20:13:31 +00:00
Khalim Conn-Kowlessar
26de28aae8 feat(modelling): Plan carries baseline/post Bills and derives the energy figures
Plan gains optional baseline_bill / post_bill (the Bills derived for the
unmodified and post-package end-states at one Fuel Rates snapshot) and derives
the four plan-level columns: post_energy_bill (post total), energy_bill_savings
(baseline - post), post_energy_consumption (Σ post section kWh), and
energy_consumption_savings (baseline - post delivered kWh). All return None until
billing runs (persisted as NULL), so existing Plan construction and the
not-yet-wired orchestrator stay green. Plan-level only; per-measure savings are a
later slice (ADR-0014 amendment).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-03 17:23:20 +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
Khalim Conn-Kowlessar
0ebd9cc7fd feat(modelling): domain Plan + PlanMeasure types (#1157)
Slice 2 of #1157. The per-Property output of one Scenario's modelling
run, per ADR-0017.

- PlanMeasure: a selected Measure Option frozen with its installed Cost
  and role-3 (final-package cascade) attributed MeasureImpact — the
  output counterpart of a Recommendation's candidate Option.
- Plan: the selected Plan Measures + baseline/post-retrofit Scores.
  Single-phase (ADR-0005); derives the persisted headline figures —
  cost_of_works, contingency_cost, co2_savings_kg_per_yr (kg; the mapper
  converts to tonnes), post_sap_continuous, and post_epc_rating (band
  from the rounded SAP via Epc.from_sap_score).

1 unit test, pyright strict clean.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-03 11:40:27 +00:00