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Author SHA1 Message Date
Khalim Conn-Kowlessar
e79ffabfc5 refactor(modelling): expose cascade_scores for the role-3 + bill cascade
Pull the cumulative-prefix scoring out of `marginal_impacts` into a reusable
`cascade_scores(scorer, baseline, overlays) -> list[Score]` (index 0 the
baseline, one calculator run per prefix) plus a pure `marginals_from_scores`.
Each Score carries its SapResult, so the next slice's telescoping per-measure
bill cascade can re-bill the same prefixes the role-3 attribution already
scores — no extra `calculate` calls (ADR-0014 / ADR-0016). `marginal_impacts`
now delegates; behaviour unchanged.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-03 17:54:54 +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
13dd5fe81a feat(modelling): per-measure scoring — marginal cascade + per-Option signal (#1156)
scoring.py adds the telescoping marginal cascade that serves two of the three
ADR-0016 scoring roles:
- marginal_impacts(scorer, baseline, overlays): applies overlays cumulatively
  in order and reports each measure's marginal MeasureImpact (sap_points +
  carbon/energy savings). Role 3 (final-package attribution) — the marginals
  telescope EXACTLY to the whole-package total.
- independent_option_impacts(scorer, baseline, options): role 1 — scores each
  Option's overlay independently vs baseline, scoring each DISTINCT overlay
  once (Options sharing an overlay reuse the result). Approximate signal for
  the optimiser; never surfaced as a measure's true impact.

Role 2 (whole-package re-score) is PackageScorer.score directly. Three
behaviour tests on the real Sap10Calculator / a counting stand-in (hand-built
EPD): single-overlay marginal == improvement-over-baseline; two-overlay
marginals telescope to the package total; per-Option dedup scores each
distinct overlay once. Closes #1156. pyright strict clean.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-03 08:50:49 +00:00