358b4dcd01
Elmhurst §14.0 leaves "Fuel Type" empty for electric main heating
systems (heat pumps, electric boilers, storage heaters, electric
underfloor, warm-air HPs) — the SAP code identifies the carrier
directly. The mapper was reading the empty string via
`_elmhurst_main_fuel_int(mh.fuel_type)` → None, and downstream
`_main_fuel_code` returned None, so Table 32 unit-price lookups
defaulted to mains gas. Cert 000565 (HP Main 1, SAP code 224) was
being charged 29,353 kWh/yr of electricity at the gas tariff —
£0.0364/kWh instead of £0.165/kWh.
New `_ELECTRIC_SAP_MAIN_HEATING_CODES` frozen set covers the Table
4a electric carrier rows:
191-196 Electric boilers
211-217, 221-227 Heat pumps (224 = ASHP 2013+, 1.70 COP)
401-409 Electric storage heaters
421-425 Electric underfloor heating
521-527 Warm-air heat pumps
Inference fires in both Main 1 (`_map_elmhurst_sap_heating`) and
Main 2 (`_map_elmhurst_main_heating_2`) construction paths — when
`_elmhurst_main_fuel_int(fuel_type)` returns None AND the SAP code
is in the electric set, fall back to `_STANDARD_ELECTRICITY_FUEL_
CODE = 30` (Table 12 row "Electricity, standard tariff").
Cert 000565 cascade impact (compounding with S0380.56):
- sap_score: 71 → 30 (target 29 → Δ +1.7; was Δ +44)
- sap_score_continuous: 71.42 → 30.21 (target 28.51 → Δ +1.70; was Δ +42.91)
- ecf: 2.05 → 5.22 (target 5.39 → Δ −0.17; was Δ −3.34)
- total_fuel_cost_gbp: 1,423.80 → 3,624.64 (target 4,680.26 → Δ −1,055.62; was Δ −3,256.46)
- co2_kg_per_yr: 7,181.62 → 5,009.47 (target 6,447.63 → Δ −1,438.16; was Δ +733.99)
(now undershooting — independent cascade gap
around Table 12d monthly electric CO2 factor
interpolation; separate slice)
Single-main non-HP certs: no behavioural change (`fuel_type` lodged
explicitly for gas/oil boilers → `_elmhurst_main_fuel_int` returns
non-None → inference branch not entered). Cohort regression check:
472 pass + 10 expected 000565 fails — no regression.
Spec source: SAP 10.2 Table 4a main heating SAP codes + Table 12 fuel
codes (electricity, standard tariff = 30). Heat-pump cohort efficiency
values cross-referenced in `domain/sap10_ml/sap_efficiencies.py:42-44`.
Pyright net-zero on mapper.py (32 / 32).
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