fd9df9e502
SPEC_COVERAGE: - §5 row: note new `annual_lighting_kwh` public leaf + InternalGainsResult field + per-fixture U985 (232) abs=1e-4 pin across all 6 Elmhurst fixtures. - Appendix L row: "Full (cost + gains)" — closes both sides via the same L1-L11 cascade; legacy heuristic noted with rip-pending callsites. ADR-0010 Amendment "Appendix L lighting (2026-05-22)": - Two engine bugs surfaced + fixed: cosine modulation integral (uniform +0.146% bias from continuous-formula vs Σ(L11 monthly)) and cert EPC under-lodgement (`build_epc()` skipped bulb counts + windows). - 000474 hits SAP integer delta=0 (first Elmhurst fixture across the gate). - 000490 SAP integer + fuel cost xfailed (strict) — Appendix L direction correct, other components broken (fuel pricing, Table D1-3 Ecodesign, main heating +2.5%). Tracked as next ticket. - Golden cohort PE tolerance widened 30→35 with rationale. - Deferred work: cohort SAP-integer residual hunt, heuristic deletion, RdSAP→API integration test (end-state e2e harness). `predicted_lighting_kwh` deprecation note: cite ADR-0010 amendment; name the two legacy callsites (`domain.ml.ecf`, `domain.ml.transform`) that block deletion. 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