398692703f
An electric room/panel-heater dwelling (main SAP code 691) on a Dual meter is a 10-hour tariff by RdSAP 10 §12 Rule 3, so its main heating bills the secondary's identical electricity at a 0.50-blended 11.09 p/kWh. Its SECONDARY heating, however, resolved its tariff from the bare meter string — where a Dual meter defaults to 7-hour (`tariff_from_meter_type`) — and billed at the 7-hour all-high-rate 15.29 p/kWh. The ~10% secondary fraction was over-priced by ~4 p/kWh, under-rating SAP by ~1 point across the LRHA WAVE 3 code-691 cohort. Route the dwelling's resolved `_rdsap_tariff(epc)` into `_secondary_fuel_cost_gbp_ per_kwh` / `_secondary_off_peak_rate_gbp_per_kwh`, exactly as the main-heating cost path (`_space_heating_fuel_cost_gbp_per_kwh`) and the secondary CO2 path (`_secondary_heating_co2_factor_kg_per_kwh`) already do — removing the internal meter-only resolution that diverged from the dwelling's single §12 tariff. Storage-heater dwellings (7-hour by §12) are unchanged — their secondary correctly stays at 15.29 p (regression-pinned in test_cert_to_inputs). LRHA WAVE 3 within-0.5 49.5% → 52.4%, MAE 0.977; gov-API, Elmhurst RealCert, Guinness and Wythenshawe corpora unaffected. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| deployment/terraform | ||
| docs | ||
| domain | ||
| epr_data_exports | ||
| etl | ||
| harness | ||
| infrastructure | ||
| model_data/requirements | ||
| orchestration | ||
| recommendations | ||
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| sap worksheets | ||
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| sfr/principal_pitch | ||
| survey_report | ||
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| utilities | ||
| utils | ||
| .coveragerc | ||
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| __init__.py | ||
| ara_backend_design.md | ||
| BaseUtility.py | ||
| CLAUDE.md | ||
| conftest.py | ||
| CONTEXT.md | ||
| devcontainer.sh | ||
| Dockerfile.test | ||
| Dockerfile.test.dockerignore | ||
| Makefile | ||
| MEMORY.md | ||
| modelling_audit.md | ||
| next_claude_prompt.txt | ||
| P960-0001-001431-2.pdf | ||
| package-lock.json | ||
| package.json | ||
| playground.py.local-backup | ||
| pyproject.toml | ||
| pyrightconfig.json | ||
| pytest.ini | ||
| README.md | ||
| run_lambda_local.sh | ||
| serverless.yml | ||
| Summary_001431-3.pdf | ||
| test.requirements.txt | ||
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| 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