a41ac6bd74
Replaces the SAP 10.3 §13 rating constants in `worksheet/rating.py` with SAP 10.2 values per ADR-0010 (active spec target is SAP 10.2, 14-03-2025; spec changed to SAP 10.3 only as of 13-01-2026 which hasn't been adopted): Energy Cost Deflator 0.36 → 0.42 Linear branch slope 16.21 → 13.95 (SAP = 100 − slope × ECF) Log branch intercept 108.8 → 117.0 (SAP = intercept − slope × log10(ECF)) Log branch slope 120.5 → 121.0 The two errors were near-cancelling on the Elmhurst cohort (low-cost combi-gas dwellings on the linear branch): the wrong deflator made our ECF ~14% low, and the wrong linear slope made our SAP drop per unit ECF ~16% high. Their product was close to the spec but not exactly — leaving 000490 stuck 1 SAP integer over PDF after the other component closures (Appendix L, secondary heating, ventilation, pumps_fans) had brought cost to within £0.04 of PDF. Final cohort SAP integer status — **both fixtures hit delta=0**: 000474: integer 62 = PDF 62 (continuous 61.91 vs PDF 62.26, Δ -0.35) 000490: integer 57 = PDF 57 (continuous 57.40 vs PDF 57.40, Δ -0.002) 000490 e2e SAP integer ceiling tightened 1 → 0. Updated 8 internal rating + calculator tests that pinned the SAP 10.3 constants (test_rating.py, test_calculator.py, test_bre_worked_ examples.py). All 685 tests green; 0 xfail. 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