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The API schema lodges `glazing_type` (int code) per window but `window_transmission_details=None` and `frame_factor=None`. Without per-window U lodgement the cascade falls back to a single global `u_window(None,None,None)=2.5` × total area, which over-shot cert 001479's window W/K by +2.63 (cascade 46.23 vs worksheet 43.60). Fix: `_API_GLAZING_TYPE_TO_TRANSMISSION` lookup translates `glazing_type` → (u_value, solar_transmittance, frame_factor) and the mapper populates `WindowTransmissionDetails` + `frame_factor` per window so the cascade uses its per-window U fast path (each window contributes A × U_eff_individual rather than total_area × U_eff_global). Two codes mapped now: 3 → DG pre-2002 U=2.8 g=0.76 FF=0.70 13 → DG post-2022 Argon U=1.4 g=0.72 FF=0.70 Cert 001479 lodges 8 Main windows at glazing_type=3 + 1 Ext1 window at glazing_type=13 — exactly the manufacturer-lodged worksheet values. The cascade now matches the worksheet's `Windows 1: 13.96 × 2.518 = 35.15 W/K` and `Windows 2: 6.37 × 1.3258 = 8.45 W/K` → **windows W/K EXACT 43.5962**. **Cert 001479 API path: fabric heat loss is now COMPLETELY EXACT across all 6 components** (walls/party/roof/floor/windows/doors all match worksheet at the worksheet's 4 d.p. precision). Total fabric: 139.4957 W/K ✓ (was 122.6130 before Slice 87) walls: 39.7652 ✓ party walls: 17.0700 ✓ roof: 10.3438 ✓ floor: 23.1705 ✓ windows: 43.5962 ✓ doors: 5.5500 ✓ API SAP delta progression through Slices 87-93: Slice 87 baseline: +3.0752 After Slice 90: +1.5298 (party walls) After Slice 91: +1.0970 (descriptive strings + roof desc) After Slice 92: +1.0022 (floor dims) After Slice 93: +1.1846 (windows — fabric now EXACT) The +1.18 SAP gap is now PURELY non-fabric: candidates are internal gains, solar gains, ventilation, MIT, or hot water cascade — to diagnose in the next slice. Golden cert residuals updated for the cascade improvements. Pyright net-zero on mapper.py (33 → 33). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> |
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| .. | ||
| epc | ||
| magicplan | ||
| __init__.py | ||
| datatypes.py | ||
| enums.py | ||