Model/harness/sample_catalogue.json
Khalim Conn-Kowlessar f7863f986d feat(modelling): wire the lighting generator into the candidate pool
Slice 4 of the lighting generator (ADR-0023): run recommend_lighting in
_candidate_recommendations (no planning gate). Price low_energy_lighting in the
offline catalogue + contingency table (0.26, the legacy rate); the
_GENERATOR_MEASURE_TYPES forcing test enforces both. A run_modelling test pins
the wiring end-to-end (an incandescent-lit dwelling gets the LED upgrade in the
optimised package).

Downstream updates, all because lighting now fires on any cert with non-LED
bulbs: report.py gains the low_energy_lighting trigger (the non-LED counts); the
two golden-cert report tests and the multi-measure integration test now expect
low_energy_lighting alongside the fabric measures (the sample/golden EPCs lodge
low-energy-unknown bulbs); first-run integration seeds a low_energy_lighting
MaterialRow.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-05 12:39:54 +00:00

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JSON

{
"cavity_wall_insulation": { "unit_cost_per_m2": 18.5 },
"loft_insulation": { "unit_cost_per_m2": 12.0 },
"sloping_ceiling_insulation": { "unit_cost_per_m2": 40.0 },
"flat_roof_insulation": { "unit_cost_per_m2": 60.0 },
"suspended_floor_insulation": { "unit_cost_per_m2": 25.0 },
"solid_floor_insulation": { "unit_cost_per_m2": 45.0 },
"mechanical_ventilation": { "unit_cost_per_m2": 450.0 },
"external_wall_insulation": { "unit_cost_per_m2": 100.0 },
"internal_wall_insulation": { "unit_cost_per_m2": 90.0 },
"double_glazing": { "unit_cost_per_m2": 600.0 },
"secondary_glazing": { "unit_cost_per_m2": 510.0 },
"low_energy_lighting": { "unit_cost_per_m2": 8.0 }
}