Cascades the spec-correct §3.10 Room-in-Roof routing through the
mapper + heat-transmission section. Three coupled changes:
1. **Mapper drops "Connected" gables** — per RdSAP 10 Table 4 (PDF p.22)
row 4 a gable wall "Connected to heated space" is an internal
partition, NOT a heat-loss surface. The Elmhurst Summary §8.1 PDF
may lodge the short form "Connected" or the verbose "Connected to
heated space"; both route to `return None` in
`_map_elmhurst_rir_surface`.
2. **Mapper routes "Exposed" gables → `gable_wall_external` with the
lodged U** — per Table 4 row 1 an exposed RR gable wall bills at the
lodged U-value (or the storey-below main-wall U). For non-flat
dwellings the `default_u_value` rides through as `u_value` override
so the cascade uses the lodged figure directly. Flats preserve their
legacy no-override routing so the cascade falls through to main-wall
U (cert 9501).
3. **Mapper surfaces Common Wall surfaces + applies spec area formula**
per RdSAP 10 §3.9.2 + Table 4:
Detailed assessment → raw L × H per surface
Simplified + Common Walls → L × (0.25 + H) for common walls;
L × (0.25 + H_gable)
− Σ_n (H_gable − H_common,n)² / 2
for gables
Simplified + no Common Walls → raw L × H for gables
The 0.25-m structural-gap offset accounts for the space between the
RR floor and the storey-below ceiling. The gable correction
subtracts the triangular slice above each common wall.
4. **Cascade adds `common_wall` kind** in `heat_transmission.py` — mirror
of `gable_wall_external`: walls += area × (`surf.u_value` or main-wall
U). Mapper precomputes the spec area so the cascade reads `area_m2`
directly.
Verified against the cert 000565 U985 worksheet PDF "External Walls"
section per BP:
| BP | Surface | Formula | Worksheet | Cascade |
|----|---------------------|-------------------------------------------|-----------|---------|
| 0 | Main GW1 (Exposed) | 4 × 2.45 (Simplified, no CW) | 9.80 | 9.80 ✓ |
| 0 | Main GW2 (Sheltered)| 6 × 2.45 | 14.70 | 14.70 ✓|
| 1 | Ext1 CW1 | 9 × (0.25 + 1.0) (Simplified + CW) | 11.25 | 11.25 ✓|
| 1 | Ext1 CW2 | 5 × (0.25 + 1.8) | 10.25 | 10.25 ✓|
| 1 | Ext1 GW2 (Exposed) | 8 × (0.25 + 9) − ((9−1)²+(9−1.8)²)/2 | 16.08 | 16.08 ✓|
| 2 | Ext2 GW2 (Exposed) | 3 × 8 (Detailed) | 24.00 | 24.00 ✓|
| 3 | Ext3 CW1 | 5 × (0.25 + 1.5) (Simplified + CW) | 8.75 | 8.75 ✓ |
| 3 | Ext3 CW2 | 7.5 × (0.25 + 0.3) | 4.13 | 4.13 ✓ |
| 3 | Ext3 GW1 (Exposed) | 9 × (0.25+7) − ((7−1.5)²+(7−0.3)²)/2 | 27.68 | 27.68 ✓|
| 4 | Ext4 CW1 | 4 × 1 (Detailed) | 4.00 | 4.00 ✓ |
| 4 | Ext4 CW2 | 3.5 × 0.6 | 2.10 | 2.10 ✓ |
Cohort impact:
- Cert 9501 (top-floor flat with Detailed RR + Exposed gables) —
PASSES (the flat-RR elif still routes; gables stay at main-wall U
via cascade fall-through).
- All other cohort fixtures: unaffected (no RR or fully-Detailed RR
where raw L × H is also the spec answer).
Cert 000565 cascade subtotals close substantially:
walls 322.21 → 443.51 (worksheet 604.07, Δ −282 → Δ −161, 43% closed)
party walls 153.46 → 93.26 (worksheet 65.13, Δ +88 → Δ +28, 68% closed)
HTC fabric 716.43 → 795.24 (Δ +79 W/K — cascade closer to worksheet)
The remaining 161 W/K under-count in walls + 28 W/K over-count in
party walls localise to the BP main-wall cascade (NOT RR). The cert
000565 sap_score e2e pin regresses from EXACT (29) to Δ−3 (26) because
the previous compensating cascade gaps are now exposed — the
spec-correct fix is real, the residual is real, and the next slice
closes the BP main-wall gap (likely the "External walls Main alt.1"
basement-override at 23 m² × U=2.34 = 53.82 W/K + per-BP main-wall
U/area refinements). Per [[feedback-spec-citation-in-commits]] +
[[feedback-spec-floor-skepticism]] the spec-correct fix ships even
when the test pin temporarily regresses; the diagnostic signal is
sharper now.
Test baseline: 555 pass + 9 expected `test_sap_result_pin[000565-*]`
fails (was 555 + 8; sap_score now in the failing set with cascade-
exposed BP main-wall gap surfaced). Cohort + golden fixtures
unaffected. Pyright net-zero on touched files (59 errors, matches
baseline).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
|
||
|---|---|---|
| .devcontainer | ||
| .github/workflows | ||
| .idea | ||
| .vscode | ||
| applications | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| deployment/terraform | ||
| docs/adr | ||
| domain | ||
| epr_data_exports | ||
| etl | ||
| infrastructure | ||
| model_data/requirements | ||
| orchestration | ||
| recommendations | ||
| repositories | ||
| scripts | ||
| sfr/principal_pitch | ||
| survey_report | ||
| tests | ||
| utilities | ||
| utils | ||
| .coveragerc | ||
| .dockerignore | ||
| .gitignore | ||
| __init__.py | ||
| ara_backend_design.md | ||
| BaseUtility.py | ||
| CLAUDE.md | ||
| conftest.py | ||
| CONTEXT.md | ||
| devcontainer.sh | ||
| Dockerfile.test | ||
| Dockerfile.test.dockerignore | ||
| Makefile | ||
| MEMORY.md | ||
| package-lock.json | ||
| package.json | ||
| pyproject.toml | ||
| pyrightconfig.json | ||
| pytest.ini | ||
| README.md | ||
| run_lambda_local.sh | ||
| serverless.yml | ||
| test.requirements.txt | ||
| tox.ini | ||
| UBIQUITOUS_LANGUAGE.md | ||
Model Repository
This repository contains the code pertaining to the development of the data science and machine learning products being utilised by Hestia.
The different folders in this repository relate to services that can be used independently, or can be imported and used as part of a larger application
Getting Started
Prerequisites
Dev Container Setup
This repo uses a Docker Compose-based dev container. The model-backend service joins a shared-dev Docker network so it can communicate with other local services (e.g. a frontend container) running on your machine.
VS Code users: The initializeCommand in devcontainer.json creates the shared-dev network automatically before the container starts. No manual step required — just open the repo and select Reopen in Container.
Non-VS Code / CI workflows: Run the following once before starting the container:
make dev-setup
This is idempotent and safe to re-run if the network already exists.
Folders
backend/
This folder contains the code for the fastapi backend service, which provides an interface to much of the functionality in this repository, for the frontend
model_data/
This folder contains related to the reading and preparation of assessment model data, including pulling out epc attributes
Testing
All tests can be run, against the configuration in pytest.ini running
pytest
This will run the complete panel of tests and report on coverage in the locations specified by the pytest.ini file.
To run tests in a specific service, e.g. inside of model_data, simply run
pytest --cov-config=model_data/.coveragerc --cov=model_data
This will produce the test results and coverage reports