Schema-21.0.0/0.1's SapRoomInRoof dataclass declared only floor_area and construction_age_band. Real certs lodge gable wall lengths under sap_room_in_roof.room_in_roof_type_1 (RdSAP §3.9.1 Simplified Type 1). from_dict silently dropped the whole block at deserialization, so the mapper never had a chance to surface the lengths on EpcPropertyData. Fix: add RoomInRoofType1 dataclass to both schema-21 variants; extend SapRoomInRoof with `room_in_roof_type_1: Optional[...]`; update the mapper to populate EpcPropertyData.SapRoomInRoof gable_1_length_m / gable_2_length_m from the new field. Calculator behaviour unchanged this slice: heat_transmission.py:243 requires BOTH length AND height to contribute gable area, and the cert lodges length only (RdSAP §3.9.1 uses a default 2.45 m storey height — not yet plumbed). Cert 0240's −12 SAP residual unchanged. Schema scope: both 21.0.0 and 21.0.1 schemas (identical SapBuildingPart mapper code, kept consistent). Older schemas (17/18/19/20) don't carry this RR shape on their dataclasses and are out of scope per the prior cohort scope decision. Unblocks the follow-up slices that close the RR cascade: default H_gable in calculator or mapper, parse "Roof room(s), insulated (assumed)" description for the U-value override, etc. 930/930 Elmhurst cascade green. 14/14 golden cohort green at pinned residuals (no shift, as expected). 76/76 mapper tests green. Pyright net-zero (32 errors before and after). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> |
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| .devcontainer | ||
| .github/workflows | ||
| .idea | ||
| .vscode | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| docs | ||
| epr_data_exports | ||
| etl | ||
| infrastructure/terraform | ||
| model_data/requirements | ||
| packages | ||
| recommendations | ||
| scripts | ||
| services | ||
| sfr/principal_pitch | ||
| survey_report | ||
| utils | ||
| .coveragerc | ||
| .dockerignore | ||
| .gitignore | ||
| __init__.py | ||
| AGENTS.md | ||
| 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_backlog.sh | ||
| 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