9427354d88
`_is_electric_main` and `_is_electric_water` hand-rolled a literal set
check `code in {10, 25, 29}` ∪ `{30..40}` to classify a fuel code as
electricity. The set conflated two enums:
- {10, 25, 29} — API enum codes (epc_codes.csv row main_fuel):
10 = electricity (backwards compat)
25 = electricity (community)
29 = electricity (not community)
- {30, 31, ..., 40} — Table 32 codes (RdSAP 10 spec p.95):
30 = standard tariff
31/32 = 7-hour low/high
33/34 = 10-hour low/high
35 = 24-hour heating
38/40 = 18-hour high/low
API enum codes 1-29 collide with Table 32 codes 1-29 for unrelated
fuels — API 10 = "electricity" vs Table 32 10 = "dual fuel (mineral +
wood)". S0380.135's EES dispatch sets `main_fuel_type` to Table 32
codes (BDI → 10 for dual fuel), so a dual-fuel main was silently
mis-classified as electric. The `_space_heating_fuel_cost_gbp_per_kwh`
tariff branch then re-routed solid fuel 6's space heating cost through
the 18-hour-low electric rate (5.50 p/kWh) instead of dual-fuel 3.99
p/kWh — solid fuel 6 SAP residual −7.38 → −11.37 in S0380.135.
The fix promotes the existing `table_32._is_electric_code` to public
`is_electric_fuel_code` and routes both `_is_electric_main` and
`_is_electric_water` through it. The canonical helper normalises a
fuel code via T32-first then API-translate fallback (same convention
as `unit_price_p_per_kwh`), so a Table-32-code-10 dual-fuel main
classifies as non-electric correctly.
Subtle behaviour change: API enum code 25 ("electricity (community)")
maps via API_FUEL_TO_TABLE_32 to Table 32 code 41 ("heat from electric
heat pump (community)") which is a heat network billed at the heat-
network rate (4.24 p/kWh single rate), not at the off-peak electric
tariff. Pre-S0380.136 the literal-set check would have treated this
as direct electric and applied the Table 12a high/low-rate split —
that was wrong; community heat networks don't have an off-peak split.
The new canonical helper correctly excludes code 41 from
_ELECTRIC_FUEL_CODES.
Heating-systems corpus impact:
solid fuel 6 (Dual Fuel Anthracite Wood, SAP 160):
ΔSAP −11.3731 → +1.9493 (now in cluster with other solid-fuel)
Δcost +£268.44 → −£44.91
ΔPE unchanged (PE wasn't affected by the cost mis-routing)
No other corpus variants moved — none have `main_fuel_type` in the
ambiguous API/T32 collision range that was previously mis-classified.
Extended handover suite: 879 pass / 0 fail (+2 from new AAA tests
covering both `_is_electric_main` and `_is_electric_water` dual-fuel
non-electric classification + API code 29 → electric / API code 25 →
heat-network non-electric semantics).
Pyright net-zero on touched files (43 → 43).
No golden fixture impact — no golden cert lodges `main_fuel_type=10`
(dual fuel) on the cascade path.
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