c054d71284
Closes the residual S0380.177 exposed on oil 6. The cascade's central
heating pump used the bare Table 4f age default (41 kWh for "2013 or
later") but the worksheet (230c) = 53.3 kWh.
SAP 10.2 Table 4f (PDF p.175) footnote a) on the "Circulation pump"
rows reads verbatim: "Multiply by a factor of 1.3 if room thermostat
is absent." oil 6 lodges control code 2101 ("No time or thermostatic
control of room temperature") = no room thermostat, so 41 x 1.3 = 53.3
= ws (230c) EXACTLY; pumps/fans (231) = 53.3 + 100 (liquid-fuel boiler
flue fan/pump) = 153.3 EXACT. Same root cause (absent room thermostat)
as the S0380.177 Table 4c(2) interlock fix — both keyed on the new
`_BOILER_NO_ROOM_THERMOSTAT_CONTROL_CODES = {2101, 2102}`.
`_table_4f_circulation_pump_kwh` now multiplies the resolved pump kWh
by `_TABLE_4F_NO_ROOM_THERMOSTAT_PUMP_MULTIPLIER = 1.3` when the main's
control code is in that set.
oil 6 now FULLY EXACT on all four metrics (ΔSAP/cost/CO2/PE < 1e-4).
The sibling oil 5 (same "2013 or later" pump age but control 2106 WITH
a room thermostat) keeps the bare 41 kWh and is unaffected — as do the
other 39 corpus variants (2101/2102 appear only on oil 6). 935 pass;
pyright net-zero 32 -> 32.
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