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Slice 93: API mapper window_transmission_details from glazing_type
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>
This commit is contained in:
Khalim Conn-Kowlessar
parent
8e752e5720
commit
7281b7b300
2 changed files with 58 additions and 16 deletions
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@ -1524,7 +1524,11 @@ class EpcPropertyDataMapper:
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glazing_gap=w.glazing_gap,
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orientation=w.orientation,
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window_type=w.window_type,
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frame_factor=w.frame_factor,
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frame_factor=(
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w.frame_factor
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if w.frame_factor is not None
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else _API_GLAZING_TYPE_TO_TRANSMISSION.get(w.glazing_type, (None, None, None))[2]
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),
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glazing_type=w.glazing_type,
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window_width=_measurement_value(w.window_width),
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window_height=_measurement_value(w.window_height),
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@ -1532,6 +1536,16 @@ class EpcPropertyDataMapper:
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window_location=w.window_location,
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window_wall_type=w.window_wall_type,
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permanent_shutters_present=w.permanent_shutters_present == "Y",
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# When the API lodgement carries explicit
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# `window_transmission_details`, pass through verbatim
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# (Manufacturer-lodged U + solar takes precedence over
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# the cascade default). Otherwise derive from the
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# `glazing_type` integer code via the SAP10 lookup —
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# gives the cascade per-window U-values for the
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# `windows_have_per_window_u` fast path in
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# `heat_transmission.py`, matching the cohort
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# Elmhurst behaviour (which sets these per-window via
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# `make_window`).
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window_transmission_details=(
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WindowTransmissionDetails(
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u_value=w.window_transmission_details.u_value,
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@ -1539,7 +1553,15 @@ class EpcPropertyDataMapper:
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solar_transmittance=w.window_transmission_details.solar_transmittance,
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)
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if w.window_transmission_details is not None
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else None
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else (
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WindowTransmissionDetails(
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u_value=_API_GLAZING_TYPE_TO_TRANSMISSION[w.glazing_type][0],
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data_source="SAP10 lookup (glazing_type)",
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solar_transmittance=_API_GLAZING_TYPE_TO_TRANSMISSION[w.glazing_type][1],
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)
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if w.glazing_type in _API_GLAZING_TYPE_TO_TRANSMISSION
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else None
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)
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),
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permanent_shutters_insulated=w.permanent_shutters_insulated,
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)
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@ -2070,6 +2092,26 @@ def _api_roof_construction_str(value: Optional[int]) -> Optional[str]:
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_API_FLOOR_HEAT_LOSS_EXPOSED: Final[int] = 1
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# GOV.UK API `glazing_type` integer → (u_value W/m²K, g_perpendicular,
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# frame_factor) lookup the cascade reads via `window_transmission_
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# details` for per-window cascade fidelity. The cascade defaults to a
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# single global `u_window(None,None,None)=2.5` and `_G_PERPENDICULAR_
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# DEFAULT=0.76` when these are unset — close to right for typical
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# DG-pre-2002 dwellings but wildly off for newer DG (e.g. cert 001479
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# Ext1 lodges glazing_type=13 → manufacturer DG post-2022 Argon
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# U=1.4 / g=0.72, vs cascade default U=2.5).
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#
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# Codes observed across the 10 golden fixtures: 3 (Main DG pre-2002)
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# and 13 (Ext1 post-2022 Argon). The wider SAP10.2 glazing-type enum
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# (4-12, 14+) is not yet mapped — incremental coverage as new
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# fixtures surface them.
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_API_GLAZING_TYPE_TO_TRANSMISSION: Dict[int, tuple[float, float, float]] = {
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# (u_value, solar_transmittance/g_⊥, frame_factor)
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3: (2.8, 0.76, 0.70), # Double glazed, pre-2002
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13: (1.4, 0.72, 0.70), # Double glazed, Argon-filled post-2022
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}
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def _api_build_sap_floor_dimensions(
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fds: List[Any],
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floor_heat_loss: Optional[int],
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@ -95,8 +95,8 @@ _EXPECTATIONS: tuple[_GoldenExpectation, ...] = (
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cert_number="0300-2747-7640-2526-2135",
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actual_sap=78,
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expected_sap_resid=+2,
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expected_pe_resid_kwh_per_m2=-0.9139,
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expected_co2_resid_tonnes_per_yr=-0.9974,
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expected_pe_resid_kwh_per_m2=-0.2955,
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expected_co2_resid_tonnes_per_yr=-0.9443,
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notes=(
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"Large semi-detached, TFA 526, age D, gas boiler PCDB-listed "
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"(no Table 4b code). Cert lodges open_flues_count=1 + "
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@ -119,8 +119,8 @@ _EXPECTATIONS: tuple[_GoldenExpectation, ...] = (
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cert_number="6035-7729-2309-0879-2296",
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actual_sap=70,
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expected_sap_resid=-5,
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expected_pe_resid_kwh_per_m2=+37.7305,
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expected_co2_resid_tonnes_per_yr=+0.8510,
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expected_pe_resid_kwh_per_m2=+39.1452,
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expected_co2_resid_tonnes_per_yr=+0.8845,
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notes=(
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"Mid-terrace, TFA 128, age A, gas combi Table 4b code 104. "
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"Slice 59 per-bp window apportionment tightens all 3 "
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@ -132,9 +132,9 @@ _EXPECTATIONS: tuple[_GoldenExpectation, ...] = (
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_GoldenExpectation(
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cert_number="7536-3827-0600-0600-0276",
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actual_sap=68,
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expected_sap_resid=+2,
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expected_pe_resid_kwh_per_m2=-11.7633,
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expected_co2_resid_tonnes_per_yr=-0.3124,
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expected_sap_resid=+1,
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expected_pe_resid_kwh_per_m2=-8.8124,
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expected_co2_resid_tonnes_per_yr=-0.2337,
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notes=(
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"Detached + 2 extensions, TFA 152. Multi-age bps (Main=D, "
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"Ext1=L, Ext2=F). Slice 59 (per-bp window apportionment) and "
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@ -147,8 +147,8 @@ _EXPECTATIONS: tuple[_GoldenExpectation, ...] = (
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cert_number="8135-1728-8500-0511-3296",
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actual_sap=72,
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expected_sap_resid=+1,
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expected_pe_resid_kwh_per_m2=-13.0069,
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expected_co2_resid_tonnes_per_yr=-0.2200,
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expected_pe_resid_kwh_per_m2=-10.0737,
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expected_co2_resid_tonnes_per_yr=-0.1645,
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notes=(
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"Semi-detached, TFA 102, age C, gas PCDB-listed. Cert lodges "
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"blocked_chimneys_count=1. Slice 59 per-bp window apportionment "
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@ -160,8 +160,8 @@ _EXPECTATIONS: tuple[_GoldenExpectation, ...] = (
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cert_number="2130-1033-4050-5007-8395",
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actual_sap=82,
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expected_sap_resid=+2,
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expected_pe_resid_kwh_per_m2=-44.8941,
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expected_co2_resid_tonnes_per_yr=+0.2250,
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expected_pe_resid_kwh_per_m2=-43.5103,
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expected_co2_resid_tonnes_per_yr=+0.2414,
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notes=(
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"End-terrace + 1 extension, TFA 64, gas combi PCDB index 17505, "
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"postcode DE22 (PCDB Table 172 match), PV: 2× 2.04 kWp arrays "
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@ -179,9 +179,9 @@ _EXPECTATIONS: tuple[_GoldenExpectation, ...] = (
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_GoldenExpectation(
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cert_number="0390-2254-6420-2126-5561",
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actual_sap=65,
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expected_sap_resid=+1,
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expected_pe_resid_kwh_per_m2=-3.5091,
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expected_co2_resid_tonnes_per_yr=-0.0136,
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expected_sap_resid=+0,
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expected_pe_resid_kwh_per_m2=-1.9117,
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expected_co2_resid_tonnes_per_yr=+0.0102,
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notes=(
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"End-terrace + 1 extension, TFA 80, gas combi PCDB index 18119, "
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"no PV, no secondary, postcode LN12 (PCDB Table 172 match). "
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