911ad3f221
Cert 0380 (ASHP semi-detached bungalow, worksheet SAP 88.5104) lodges glazing_type=14 on all windows. The worksheet uses U=1.3258 (post-curtain) for line (27), back-calculating to a raw U=1.40 — the SAP10.2 Table 24 row for "Double or triple glazed, 2022 or later" (England/Wales 2022+ / Scotland 2023+ / NI 2022+). Without code 14 in `_API_GLAZING_TYPE_TO_TRANSMISSION` the cascade falls back to `u_window`'s default (~U=2.50 post-curtain), inflating windows HLC by 5 W/K on cert 0380 (6.80 → 11.68). Added `14: (1.4, 0.72, 0.70)` — same U/g/frame as code 13. Codes 13 and 14 are schema siblings within the post-2022 product family (the cert lodgement integer differentiates between DG and TG sealed-unit variants but Table 24 collapses them to the same row). Effect on cert 0380 API path: - windows HLC 11.68 → 6.80 (= worksheet 6.80 exact) - (37) total HLC 104.22 → 99.34 (worksheet 96.09; Δ +3.25 left on walls — next slice closes it) - sap_continuous 86.82 → 87.62 (Δ -1.69 → -0.89; closer to worksheet 88.51) No golden cert residuals shifted (cohort + 9501 don't lodge glazing_type=14). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> |
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| .devcontainer | ||
| .github/workflows | ||
| .idea | ||
| .vscode | ||
| applications | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| deployment/terraform | ||
| docs/adr | ||
| domain | ||
| epr_data_exports | ||
| etl | ||
| infrastructure | ||
| model_data/requirements | ||
| orchestration | ||
| recommendations | ||
| repositories | ||
| 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