58cff932e6
A flat roof lodged "Flat, no insulation" / "Flat, limited insulation" with
an undetermined insulation thickness ('ND'/'AB' → parsed None) was given the
Table 16 row-0/12mm U (2.30 / 1.50) from the description marker, regardless
of age band. Per RdSAP 10 §5.11.4 (PDF p.44) "U-values in Table 18 are used
when thickness of insulation cannot be determined" — the column (3)
flat-roof age-band default applies. The "no/limited insulation" text is
RdSAP's as-built rendering: at old bands (A-D) the column (3) default IS
2.30 (so those certs are unchanged), but a newer-band flat roof carries the
age-band insulation as built (band H = 0.35, F = 0.68, not 2.30).
Confirmed by the description-vs-rating audit: cert 0390-2753 (top-floor
flat, band H, "Flat, no insulation", thickness 'ND') lodges roof
energy_efficiency_rating = 3 (moderate U), NOT the rating-1 that 2.30
implies — and drove a -31.78 SAP error (roof 202 W/K over 88 m²). Same
masked-at-old-bands structure as the cavity-U fix: accurate at A-D where the
default coincides with 2.30, catastrophic only where it diverges.
Pitched roofs are deliberately NOT rerouted (their "no insulation" text is
load-bearing — the broad 'ND'→Table-18 reroute was empirically net-negative
for pitched lofts).
API SAP eval: 52.1% -> 53.1% within 0.5; <1.0 67.2% -> 68.0%; median |err|
0.475 -> 0.467; mean|err| 1.497 -> 1.424; flat-roof bucket within-0.5
23% -> 35% (11 improved, 2 regressed).
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