RdSAP 10 Specification §3.10.1 (PDF p.24) "Default U-values of the
roof rooms":
"Where the details of insulation are not available, the default
U-values are those for the appropriate age band for the
construction of the roof rooms (see Table 18 : Assumed roof
U-values when Table 16 or Table 17 do not apply). The default
U-values apply when the roof room insulation is 'as built' or
'unknown'."
Cert 000565 Summary §8.1 BP[4] Ext4 lodges:
Flat Ceiling 1 5.00 1.00 Unknown PUR or PIR 0.15 No
Worksheet line (30): `Roof room Ext4 Flat Ceiling 1: 5 × 0.15 =
0.75 W/K` (U985-0001-000565 line 333).
Pre-slice the extractor allow-list `_RIR_INSULATION_THICKNESS_RE
| ("As Built", "None")` did NOT include the "Unknown" thickness
token, so the cell was dropped (`insulation = ""`). The mapper
translated `""` to `insulation_thickness_mm=0`, and the cascade
hit Table 17 row 0 → U=2.30 vs worksheet 0.15 (over-counting
BP[4] FC1 by +10.75 W/K on a 5 m² ceiling).
Two-layer fix:
1. Extractor (`elmhurst_extractor.py:_parse_rir_surface_row`) — add
"Unknown" as the third spec-valid thickness token alongside
"As Built" and "None".
2. Mapper (`mapper.py:_elmhurst_rir_insulation_thickness_mm`) —
return `Optional[int]`; "Unknown" → None. The cascade's existing
`_u_rr_table_17` already falls back to `u_rr_default_all_elements`
(Table 18 col 4) when thickness is None — for cert 000565 BP[4]
age band M, returns 0.15 W/m²K ✓.
Cascade no-op: the existing None → Table 18 col 4 fallback IS the
spec-correct path per §3.10.1; no calculator changes needed.
Movement at HEAD (cert 000565):
- BP[4] FC1 cascade U: 2.30 → 0.15 ✓ EXACT vs ws 0.15
- roof_w_per_k: 63.72 → 52.97 (Δ +12.34 → +1.59, closed -10.75)
- sap_score_continuous: 28.07 → 28.31 (Δ -0.44 → -0.20)
- sap_score (int): 28 (continuous still below 28.5 threshold;
remaining residual + BP[1] residual + BP[2] floor)
- SH: +533 → +218 kWh
Test count: 585 → 587 pass (+2 new AAA tests) + 9 expected 000565
fails unchanged.
Cohort safety: "Unknown" RIR insulation appears only in cert 000565
across the Summary fixture set (grep audit); cohort certs lodge
concrete thickness or "None"/"As Built". Pyright net-zero per
touched file.
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