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Khalim Conn-Kowlessar 7281b7b300 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>
2026-05-26 08:18:33 +00:00
..
domain Slice 93: API mapper window_transmission_details from glazing_type 2026-05-26 08:18:33 +00:00
fetchers added potential file scaffolding: 2026-05-15 10:56:53 +00:00
repos added potential file scaffolding: 2026-05-15 10:56:53 +00:00
utils added potential file scaffolding: 2026-05-15 10:56:53 +00:00
README.md added potential file scaffolding: 2026-05-15 10:56:53 +00:00

README.md

Shared packages

Workspace packages consumed by services/*. Each package is its own Python distribution with its own pyproject.toml; services import via the workspace dependency mechanism ({ workspace = true }).

Package Purpose
domain/ Shared domain types — Property, BaselinePerformance, Plan, Scenario, EpcPropertyData, etc. No persistence, no IO, no business logic.
repos/ Persistence layer — one repo per aggregate. Owns the SQL. Depends on domain.
fetchers/ External API clients (gov EPC, Ofgem, Google Solar, etc.). Depend on domain for response shapes.
utils/ Cross-cutting infra — logging, S3, CloudWatch URL builders, SQS task helpers.

Adding a new shared package

Only when a real second consumer materialises. Don't pre-shatter (repos-epc, repos-property, ...) — split when a deployment needs to drop a dep, not before.

See ../ara_backend_design.md §11 for the broader monorepo layout and ../CONTEXT.md for the domain glossary that names the types living in domain/.