28e9dd3864
ADR-0010 §10: the cert-based fixtures contained compensating errors
under cert-cal prices and are scheduled for replacement by BRE
worked-example fixtures (P5). Until P5 lands they stay as a loose
smoke test catching catastrophic regressions only.
Changes:
- Swap prices=cert_calibration_prices() → prices=SAP_10_2_SPEC_PRICES.
Last external consumer of cert_calibration_prices — P2.3 can now
delete table_12_cert_calibration.py cleanly.
- Loosen tolerance: SAP ±1 → ±5, PE ±10 → ±25. The cert-cal prices
had been numerically tuned around these specific certs, so spec
prices alone produce a -3 to +3 SAP drift across the set.
- Retire 9390-2722-3520-2105-8715 early (heat-network mid-floor
flat). It drifted to SAP residual -7 because cert-cal had absorbed
heat-network DLF + Table 12c interactions. Cert JSON remains in
fixtures/golden/ per ADR-0010 §10; a BRE worked-example covering
the heat-network path will subsume it during P5.
Remaining 6 fixtures pass at ±5 SAP under spec prices. The whole
suite retires when P5 lands.
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