An as-built cavity wall (wall_insulation_type=4) lodged "Cavity wall, as
built, insulated (assumed)" was routed to RdSAP 10 Table 6's "Filled
cavity" row. Per Table 6 (England, PDF p.41) the Filled-cavity row carries
the "†" footnote ("assumed as built") only at age bands I-M, where it is
numerically identical to "Cavity as built"; at bands A-H the Filled-cavity
row represents a GENUINE fill, not the as-built assumption. So an as-built
cavity must use the "Cavity as built" row at all bands (band G/H = 0.60,
not the filled 0.35).
This is the same latent A-H bug slice S0380.210 fixed for the "partial
insulation (assumed)" variant but left in place for "insulated (assumed)"
by a legacy production convention. The API SAP-accuracy cohort over-rated
"Cavity wall, as built, insulated (assumed)" certs at bands G/H by a clean
+1.38 / +1.61 SAP median (n=37 / n=18); bands I-M were unaffected (rows
coincide), confirming the spec mechanism per-band.
Retires the `_cavity_described_as_filled` description sniffer — as-built
cavities now always use the as-built row regardless of the rendered
insulation adjective; a genuine retrofit fill is still caught by the
explicit wall_insulation_type=2 branch.
API SAP eval: 48.6% -> 52.1% within 0.5; <1.0 63.8% -> 67.2%; median |err|
0.548 -> 0.475; mean|err| 1.561 -> 1.497; 909 computed, 0 raises.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
|
||
|---|---|---|
| .devcontainer | ||
| .github/workflows | ||
| .idea | ||
| .vscode | ||
| applications | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| deployment/terraform | ||
| docs | ||
| domain | ||
| epr_data_exports | ||
| etl | ||
| infrastructure | ||
| model_data/requirements | ||
| orchestration | ||
| recommendations | ||
| repositories | ||
| sap worksheets | ||
| 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