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Make run_modelling_e2e the single script that does everything for a portfolio, so the 291-property run needs one invocation with per-property recovery (no all-or-nothing chunking): - On --persist, a lodged-EPC Property now also gets its Baseline Performance row written via PropertyBaselineOrchestrator (per Property, so one bad cert does not abort the batch). Predicted (EPC-less) Properties have no lodged figures, so they get a Plan but no baseline row. - The run CSV gains api_sap (register) vs baseline_sap (calculator) + sap_delta, so calculator-vs-API divergence is reviewable per property. Fill the off-catalogue overlay for the measures the live material catalogue cannot price, so they stop crashing the run: - double_glazing (£550/window) and secondary_glazing (£400/window): priced per window (the generator multiplies by single-glazed window count, matching the legacy window_glazing). Grounded in 2025/26 UK installed costs; per-window is the right unit for windows (fixed per-unit install dominates) — per-m2 fits walls/floors, not glazing. - gas_boiler_upgrade / system_tune_up / system_tune_up_zoned: these are priced off the heating rate sheet (Products()), with get() reading the catalogue only for an id — so the overlay entry exists to satisfy that lookup (material_id stays None, as with ASHP); the rate sheet remains authoritative. Validated on a 12-property sample (incl. a secondary-glazing case and a SAP-Schema-16.2 cert): 12/12 baseline rows + plans, 0 errors. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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| .. | ||
| applications | ||
| datatypes | ||
| domain | ||
| e2e | ||
| fixtures/epc_prediction | ||
| harness | ||
| infrastructure | ||
| magic_plan | ||
| orchestration | ||
| repositories | ||
| scripts | ||
| utilities | ||
| __init__.py | ||
| conftest.py | ||
| test_lambda_packaging.py | ||