9c0a373f7d
The §10.7 no-water-heating default cylinder raised UnmappedSapCode for age bands A-F (2 certs in a 2026 sample, bands B + C) because Table 29's "A to F: 12 mm loose jacket" row wasn't plumbed — the loose-jacket storage-loss branch didn't exist. S0380.224 added it, so this slice completes the Table 29 lookup. Restructure _TABLE_29_DEFAULT_CYLINDER_INSULATION_BY_AGE to carry (cylinder_insulation_type, thickness_mm) per band — A-F → (loose jacket, 12), G/H → (factory, 25), I-M → (factory, 38) per RdSAP 10 Table 29 (PDF p.56) — and have the default read both, setting the loose-jacket type for A-F instead of hardcoding factory. The strict-raise is retained only for an absent / out-of-A-M age band (no Table 29 row). Validated: certs 2211 (band B, SAP 49.8 vs lodged 52) and 3420 (band C, 11.2 vs 11) now compute. §4 + golden suite 2395 passed — the corpus "no system" cert (age G, 25 mm factory) is unchanged. cert_to_inputs.py pyright unchanged at 32; new test suppresses reportPrivateUsage. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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| .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