EpcSource widens to "expired" (ADR-0054; the column is TEXT — no
migration). "predicted"/"expired" form one slot family: _slot_sources
routes every slot read and slot-clearing delete through the family, so a
re-ingestion flipping the flavour replaces the row instead of stranding
its sibling. FakeEpcRepo mirrors the family.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Sizing selects the aroTHERM plus rung nearest PSR ~0.8 (0.8 x design heat
loss) — the Appendix-N efficiency peak, reproducing the pump a real
installer fits — rather than the MCS PSR>=1.0 capacity target, which
oversizes. Validated against the relodged Elmhurst ASHP cert (delta 0
held at the 5 kW Vaillant); the two self-snapshot pins re-pin to their
correctly-sized larger pumps, and the orchestrator/harness thread the
calculator's design heat loss so production sizes to the dwelling. Manual
SapResult test stubs carry the new design_heat_loss_kw field.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The solid-brick LPG fixture (main_fuel_type=27, gas_connection_available=True)
was previously excluded from HHRSH by the mains_gas bug. After the fix it is
correctly offered HHRSH, so the integration test's product catalogue and
assertion are updated to match.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The PropertyBaselineOrchestrator now reads no Lodged Performance off a predicted
Property's neighbour-synthesised EPC: lodged is None when source_path is
'predicted', so no phantom lodged figure is manufactured. The Effective half is
unchanged. Rebaseliner port + PropertyBaselinePerformance.lodged widen to
Optional; the pristine-cert paths assert non-None (lodged is None only for a
predicted Property, which is always physical_state_changed).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Add Property.physical_state_changed (true on Site Notes / Landlord Overrides
/ Prediction — trigger (b)/(c)) and pass it from the
PropertyBaselineOrchestrator into the Rebaseliner. So an overridden or
predicted SAP>=10.2 property now stores calc(effective) as its Effective
baseline instead of echoing the lodged headline — closing the "81 in the DB"
divergence between the displayed baseline and the modelled plan.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The fixture lodges is_exposed_floor=True, which was silently dropped on
save->reload before this branch — so the orchestrator (reads the DB) modelled
the floor as not-exposed. Now it round-trips, the exposed floor is honoured,
and the ASHP-led max-gain fallback on this gas dwelling is bill-neutral
(marginally negative) rather than bill-positive: large energy saving, but the
gas->electricity fuel switch offsets the GBP saving. Same optimal package,
same telescoping; only the bill-savings sign assumption changed.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Even after batching the data writes, the handler still wrote to the DB per
property through the orchestrator's SubTask bookkeeping: create + start +
complete each self-committed, and _cascade re-listed every sibling and re-saved
the parent on every transition — ~5 writes per property plus an O(N^2) cascade.
- TaskOrchestrator.run_subtasks: create all children in one INSERT, run each
(failures isolated per child), then persist all terminal states in one bulk
save and cascade the parent once. Children go WAITING -> terminal; the
transient IN_PROGRESS row is never written.
- SubTaskRepository.create_many / save_many (bulk INSERT / bulk fetch + update).
- _cascade short-circuits when the Task is already FAILED (terminal) — skips the
sibling roll-up entirely.
- modelling_e2e handler fans out via run_subtasks instead of per-property
create_child_subtask + run_subtask.
Per N-property batch the SubTask bookkeeping drops from ~5N writes + an O(N^2)
cascade to ~2 writes + 1 cascade.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
16 modelling_e2e properties failed with "Effective EPC is missing
renewable_heat_incentive; cannot read baseline space-heating / hot-water kWh".
Baseline runs for predicted properties too (ADR-0031), reading space/water-
heating kWh off the EPC's lodged RHI block. Predicted EPCs deep-copy a neighbour
template that may carry no RHI, so `_require_rhi` hard-failed the whole subtask.
Fix: when the EPC has no RHI, fall back to the property's OWN computed figures
from the scored SapResult (space_heating_kwh_per_yr / hot_water_kwh_per_yr) —
more representative than a neighbour's lodged numbers. Only when there is also no
SapResult (the rebaseliner scored nothing) is there genuinely no demand to
record, and we still fail noisily. Lodged certs are unchanged (RHI still wins).
Regression tests: fallback-to-computed, and the no-RHI/no-result raise.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The FE-owned `material.type` pgEnum cannot carry `secondary_heating_removal`,
so pricing it through the DB catalogue raises a DataError that poisons the
session — the modelling pipeline crashed on any property with a lodged
secondary heater unless the measure was excluded on the Scenario.
Realise the `ProductRepository` docstring's intent (DB catalogue today, a JSON
file for costs the ETL does not yet supply, behind the same port): add a
`CompositeProductRepository` that resolves an override source first, then the
catalogue. Checking the override first keeps that Measure Type away from the DB
entirely; every other type misses the override and falls through unchanged.
- off_catalogue_costs.json prices it at £270 flat per-dwelling — the legacy
`Costs.heater_removal` ported to the new flat model (ADR-0028):
(£25 + £200 baseline) x 1.2 VAT, for the single fixed secondary a cert lodges.
Contingency (0.25) is joined from config, not the file.
- Wire the composite into PostgresUnitOfWork.product and run_modelling_e2e, so
the first-run pipeline and the local runner both honour the overlay.
- Integration test: drop the unrealistic seeded secondary_heating_removal DB
rows (the pgEnum can't hold the type) and assert it is JSON-sourced
(material_id is None, cost £270) end-to-end through a real Unit of Work.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The new pipeline left no per-Property record of a run (the old engine set
property.has_recommendations and populated property_details_epc). Restore the
marker: PropertyRepository.mark_modelled sets has_recommendations (true when the
Plan carries measures, mirroring the old engine) and bumps updated_at, so a
first-run under the new process is identifiable as updated_at >= 2026-06-01.
ModellingOrchestrator marks each Property after its Scenarios (true if any
Scenario yielded a measure); run_modelling_e2e's --persist path marks it too
(its compute runs on in-memory fakes, so the DB UoW sets it directly). Adds the
has_recommendations/updated_at columns to the PropertyRow mirror.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
`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>
Two review points from @dancafc:
1) Rename the `Comparable` dataclass → `ComparableProperty` (it models one
comparable *property*; the collection stays `ComparableProperties`). Applied
across domain, repositories, orchestration, harness, scripts, and tests with a
word-boundary rename so `ComparableProperties` is untouched.
2) Move `PredictionTarget` out of comparable_properties.py into prediction_target.py
(where `PredictionTargetAttributes` + `build_prediction_target` already live).
comparable_properties.py now imports it; no import cycle (prediction_target no
longer depends on comparable_properties). Importers updated.
92 tests pass across the touched suites; pyright strict clean.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
