oil 6 (B30K standard liquid-fuel boiler, Table 4b code 126 winter 80 /
summer 68) lodges Main Heating Controls Sap code 2101 ("No time or
thermostatic control of room temperature") WITH a cylinder thermostat.
The cascade's `no_interlock` gate only checked the cylinder thermostat,
so oil 6 kept raw efficiency despite the P960 worksheet header lodging
"Boiler Interlock: No".
Per RdSAP 10 §3 (PDF p.57): boiler interlock is "assumed present if
there is a room thermostat and (for stored hot water systems heated by
the boiler) a cylinder thermostat. Otherwise not interlocked." Control
code 2101 (and 2102 "Programmer, no room thermostat") provides no room
thermostat — the two Table 4e Group 1 rows carrying the "+0.6 °C /
Table 4c(2)" annotation — so the boiler is NOT interlocked regardless
of the cylinderstat. SAP 10.2 Table 4c(2) (PDF p.169) "No thermostatic
control of room temperature – regular boiler" then deducts 5pp from
BOTH the Space and DHW seasonal efficiency.
Three changes in cert_to_inputs.py:
- new `_BOILER_NO_ROOM_THERMOSTAT_CONTROL_CODES = {2101, 2102}`;
- `no_interlock` now ORs room-thermostat absence with the existing
stored-HW cylinderstat-absence test (the RdSAP §3 conjunction);
- the Space -5pp leg fires for Table 4b non-PCDB boilers (code
101-141), not only PCDB-record boilers; the DHW leg is gated on a
cylinder being present (Table 4c(2) combi DHW = 0).
Result for oil 6: space fuel (211) = 13446.3457 EXACT, HW fuel (219) =
4099.5872 EXACT. ΔSAP +3.0518 → +0.0782, Δcost -£69.79 → -£1.68,
ΔCO2 -240.66 → -1.71, ΔPE -1112.66 → -18.61.
The spec-correct fix exposes a single residual cause (per
[[feedback-software-no-special-handling]]): the central heating pump
(230c) — cascade reads pump_age=2 → Table 4f 41 kWh but ws (230c) =
53.3 kWh. The 12.3 kWh gap fully accounts for the residual across all
three metrics; pinned as the S0380.178 forcing function.
All other 40 corpus variants + 858 section pins + 6 U985 fixtures
unchanged (2101/2102 boiler codes appear only on oil 6). Pyright
net-zero.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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|---|---|---|
| .devcontainer | ||
| .github/workflows | ||
| .idea | ||
| .vscode | ||
| applications | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| deployment/terraform | ||
| docs | ||
| 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