recommend_heating now receives planning_restrictions in the orchestrator (the
ASHP planning gate); the ASHP bundle joins the free candidate pool for every
house/bungalow. Catalogue + contingency (legacy 0.25) gain air_source_heat_pump;
report.py _triggers_for explains the ASHP trigger; the harness forcing test
covers it. Integration tests seed an air_source_heat_pump MaterialRow (ASHP
fires on every house, the broadest trigger yet). NB the optimiser correctly does
NOT select ASHP for an EPC-band goal — gas->electric does not improve the SAP
cost-rating; ASHP is a CO2/PE measure, selectable once non-EPC goals land. ASHP
bundle COMPLETE (S5-S7). ADR-0024.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
recommend_heating joins the free candidate pool in _candidate_recommendations;
the HHR storage bundle reaches the optimised package for an electric/off-gas
dwelling. Catalogue + contingency (legacy 0.10) gain
high_heat_retention_storage_heaters; report.py _triggers_for explains the
heating trigger (electric/off-gas main); the harness _GENERATOR_MEASURE_TYPES
forcing test covers it. ASHP + boiler bundles still to come. ADR-0024.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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>
format_report_csv emits one comma-safe row per property: the calculator-error
fields (lodged/calculated/Δ/flag), the Plan headline figures (baseline+post
SAP/band, measures, cost+contingency, bill & CO2 savings, valuation %), the
flattened measure triggers, and any captured error — sortable in a spreadsheet
for a large dump.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
format_report_markdown emits: (1) cohort parity stats + a per-property
lodged-vs-calculated table flagging |Δ| > 0.5 (errors shown inline),
(2) Plans + costings (SAP/band jump, cost + contingency, bill & CO2 savings,
valuation uplift), (3) each fired measure with the EPC attributes that
triggered it.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
build_property_reports models a dump in order (errors captured per-cert);
parity_report_for aggregates the lodged-vs-calculated SAP across the cohort
into the existing ParityReport (MAE/RMSE/bias/worst-N), excluding certs that
couldn't be mapped or scored. Residual convention is the calculator's own
(predicted - actual), the negative of PropertyReport.sap_error.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Section 3 of the report: build_property_report now runs the Modelling stage
and, for every Plan Measure, records the EPC attribute(s) that caused its
generator to fire (MeasureTrigger) — wall_construction/insulation for cavity
fill, roof thickness for loft, floor thickness/construction for floors, the
absent mechanical kind for ventilation. Modelling raises are captured as
plan_error, independent of the calculator-error capture.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Section 1 of the property inspection report: PropertyReport compares the
cert's lodged energy_rating_current to Sap10Calculator's un-rounded SAP and
flags |Δ| > 0.5 (the ADR-0010/0013 shadow-validation design target). A
mapping/scoring raise is captured per-cert as calculator_error, never
propagated, so one bad cert can't abort the sweep.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
