86226ebdb6
SAP 10.2 Appendix K eqn (K2) p.84:
HTB = y × Σ(Aexp)
where Aexp is "the total area of external elements calculated at
worksheet (31)". The worksheet (31) column header reads "Total NET
area of external elements" — net of openings.
Cert 2636 (dr87-0001-000898 line 187): (31) = 160.33 m² =
47.70 main net + 11.57 alt net + 42.92 roof + 39.18 ground floor
+ 3.74 cantilever + 11.52 windows + 3.70 doors.
Pre-fix cascade summed the alt-wall at its 12.76 m² gross (no
opening deduction) — (31) was 161.52, driving (36) to 24.228 vs
worksheet 24.0495 (Δ +0.1785 W/K). That drift propagated through
(39) HTC → MIT → space heating, leaving cert 2636 at Δ -0.015
SAP — the only ASHP cohort cert above the 1e-4 floor.
`alt_walls_total_area` aggregates per-alt-wall gross at line 736;
this slice subtracts `alt_window_area` from it in the (31) sum so
the alt-wall contribution is net, matching the (29a) net-area
convention already applied per-element to the A×U sums.
Cohort-1 ASHP cohort: 9/9 certs < 1e-4 Summary path (was 8/9 with
cert 2636 at -0.015). Cert 2636 API path also closes to < 1e-4 —
the bug was path-symmetric in the cascade, not in either mapper.
Cohort-2 unchanged at 33 exact + 5 ≤0.07.
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