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Author SHA1 Message Date
Khalim Conn-Kowlessar
5c19737fc5 feat(modelling): gate generation by the considered-measures allowlist
`restrict_to_considered_measures` filtered candidates only *after* every
generator had run, so an excluded measure still queried the catalogue.
That crashed properties with a lodged secondary heater: the live
`material.type` enum has no `secondary_heating_removal` value, so the
query raised a psycopg2 `InvalidTextRepresentation` before the allowlist
could drop it.

`_candidate_recommendations` now pairs each generator with the measure
types it can emit and runs it only when the allowlist admits one of them
(None = all), so an excluded measure never reaches the catalogue.
`restrict_to_considered_measures` still trims disallowed Options off the
multi-Option survivors. Add `--exclude-measures` to run_modelling_e2e
(allowlist minus the excluded set) for excluding one measure without
enumerating the rest.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-16 14:56:09 +00:00
Jun-te Kim
32de7f6c3f 17.1 and 18 done by claude 2026-06-12 12:52:36 +00:00
Khalim Conn-Kowlessar
7942a8101a feat(modelling): considered_measures allowlist on the orchestrator
Add domain/modelling/considered_measures.py::restrict_to_considered_measures —
the pure allowlist that limits a run to a chosen set of MeasureType (mirroring
the legacy engine's `inclusions`). It filters at the Option level, so a
multi-option Recommendation (e.g. Heating & Hot Water competing HHRSH against
an ASHP bundle) is kept with only its allowed Options; a Recommendation left
with none is dropped. None = consider everything (unrestricted default).

Thread `considered_measures: frozenset[MeasureType] | None` through
ModellingOrchestrator.run -> _plan_for -> _scored_candidate_groups /
_candidate_recommendations (applies the filter) and _measure_dependencies
(suppresses a forced dependency whose required measure is outside the
allowlist, so a restricted run forces nothing it is not considering). The
local-run seam (harness.console.run_modelling) gains the same param.

The Optimiser still freely chooses among survivors — including none. Tests:
the pure filter (3 cases) + an orchestrator-seam test proving a
{solar_pv}-restricted run yields only solar_pv options. 257 pass + 3 xfail;
pyright clean.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-08 20:32:11 +00:00
Khalim Conn-Kowlessar
b249f69cb2 feat(modelling): thread SolarPotential into the orchestrator's solar Generator
Slice 8 of the Solar PV Recommendation Generator (ADR-0026). The
ModellingOrchestrator now reads each Property's persisted Google Solar
buildingInsights JSON (uow.solar), projects it once per Property into a typed
SolarPotential via `_solar_potential_for` (None for a missing or error
payload), and threads it into `recommend_solar` alongside planning_restrictions
— mirroring the ASHP wiring. Solar fires only when a feasible potential is
present, so dwellings without fetched solar data are unaffected.

FakeSolarRepo now returns None for an unseeded Property (was raising) and
supports `by_property` seeding, so the orchestrator's new solar read is exercised.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-08 12:22:56 +00:00