d769f4488a
RdSAP 10 Specification (10-06-2025) §5.2.5: "If a dwelling or part of a
dwelling has commercial premises above record as another dwelling
above" — so code 9 ("another premises above") must get the same
zero-heat-loss treatment as code 7 ("another dwelling above"), per the
spec's own "there is no heat loss through the roof of a building part
that has the same dwelling above or another dwelling above."
The previous fix mapped both to None, which only avoided the mapper
crash — it didn't achieve zero heat loss. heat_transmission.py's
per-part suppression (part_roof_is_party) only fires when
roof_construction_type CONTAINS the literal string "another dwelling
above"; that string was only ever set on the Elmhurst ingestion path.
The API path mapped 7 (and, until now, 9) to None, so the suppression
never fired for any API-derived cert — has_exposed_roof (the
dwelling_type-label-only fallback) was the sole gate, with no way to
know about a per-part party-ceiling lodgement. Both codes now map to
"(another dwelling above)" so the existing suppression logic fires on
both ingestion paths, matching what
domain/epc/property_overrides/roof_party_ceiling_guard.py already does
independently for the landlord-override pipeline (same spec citation).
Verified against the motivating cert (uprn 10013320122): roof_w_per_k
now correctly computes to 0.0. Full RdSAP-21.0.1 corpus (1000 certs)
re-run: within-0.5 unchanged at 77.8%, MAE improves marginally
(0.6364 vs 0.637 ceiling) — no regression.
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| .claude/skills | ||
| .devcontainer | ||
| .github/workflows | ||
| .idea | ||
| .vscode | ||
| applications | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| deployment/terraform | ||
| docs | ||
| domain | ||
| epr_data_exports | ||
| etl | ||
| harness | ||
| 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 | ||
| modelling_audit.md | ||
| next_claude_prompt.txt | ||
| P960-0001-001431-2.pdf | ||
| package-lock.json | ||
| package.json | ||
| playground.py.local-backup | ||
| pyproject.toml | ||
| pyrightconfig.json | ||
| pytest.ini | ||
| README.md | ||
| run_lambda_local.sh | ||
| serverless.yml | ||
| Summary_001431-3.pdf | ||
| 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