e4bf4e70e8
SAP 10.2 Table 3 (PDF p.160) provides three primary-loss rows keyed off
the DHW timing arrangement, the middle row giving winter h=5 / summer
h=3 for "Cylinder thermostat, water heating NOT separately timed".
Solid-fuel boiler systems (Table 4a codes 151-161 — independent boilers,
open-fire + back boilers, closed room heaters with boilers, range cooker
boilers, stoves with boilers) do not ship with dual programmers. Per
SAP 10.2 §9.2.4 (PDF p.27) these are "independent solid fuel boilers,
open fires with a back boiler and room heaters with a boiler" — the
appliance itself is the timer. DHW timing follows the burn schedule,
not a separate cylinder programmer, so the middle Table 3 row applies.
Pre-slice `_separately_timed_dhw` returned True for any cylinder +
non-electric HW fuel cert (the S0380.140 gate), routing solid-fuel
boilers through h=3 year-round (the third row, "Cylinder thermostat,
water heating separately timed"). That under-counted winter (59)m
by ~21 kWh/month × 8 winter months across the affected cohort, with
the under-counted water-heating gain propagating into MIT / SH / SAP.
New gate: `sap_main_heating_code in _TABLE_4A_SOLID_FUEL_BOILER_CODES`
(frozenset of {151, 153, 155, 156, 158, 159, 160, 161}) — added before
the existing cylinder-present fallback. The post-S0380.140 electric-
immersion / heat-pump / no-main branches are unchanged. Table 4b
liquid-fuel boilers (101-141) keep the True default — modern gas/oil
installations standardly include dual programmers and the worksheet
confirms `oil 1` / `oil pcdb 1..3` / `pcdb 1` are pinned exact at
h=3 year-round.
Worksheet evidence (heating-systems corpus property 001431):
- solid fuel 3 (SAP code 160 range cooker boiler + WHC=901
cylinder thermostat): worksheet (59)m winter = 64.58 (h=5, p=0)
and summer = 41.92 / 43.31 (h=3, p=0). Cascade closes ΔSAP +0.30
→ −0.0000, Δcost −£6.84 → −0.00, ΔPE −214 → −0.00 (4-metric exact).
- solid fuel 2 (SAP code 158 closed room heater + back boiler):
same Table 3 fix narrows ΔSAP +2.06 → +1.86. Remaining ~1.86 SAP
is the SAP 10.2 §12.4.4 immersion-in-summer rule for back-boilers
(codes 156, 158) — the worksheet has summer (59)m = 0 because the
Elmhurst P960 lodges `Summer Immersion: Yes` + the spec routes
Jun-Sep HW through an electric immersion at η=100%. That's a
bigger lift (monthly HW efficiency + fuel-split plumbing) and is
a follow-up slice.
Other corpus variants: no impact (verified via cohort sweep). The
gate is narrow by SAP code so only the 2 affected variants move.
Extended handover suite: 897 pass / 0 fail (+1 from new AAA test).
Pyright net-zero (43 → 43, transient +1 fixed via `EpcPropertyData`
import on the new test's `_cylinder_epc_for` return annotation).
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