fb173cdf3f
RdSAP 10 Specification §4.1 Table 5 "Ventilation parameters" (PDF p.28)
verbatim — "Extract fans" entry:
• Number of extract fans if known
• If number is unknown:
Not park home:
Age bands A to E all cases → 0
Age bands F to G all cases → 1
Age bands H to M up to 2 hab. rooms → 1
3 to 5 hab. rooms → 2
6 to 8 hab. rooms → 3
more than 8 hab. rooms → 4
Park home:
Age band F all cases → 0
Age bands G onwards all cases → 2
The Elmhurst Summary §12.0 renders "No. of intermittent extract fans: 0"
as the form for *unknown*; every other §2 chimney/flue line item follows
"number if known, or 0 if not present" and the cascade trusts the lodged
value verbatim. Only extract fans have a non-zero age-band default.
Pre-slice the cascade read the lodged 0 verbatim → cohort-wide -0.044
ACH ventilation deficit (= -2.6 W/K HLC, = -1.2% SH demand, = ~-0.3 SAP
per variant). All 25 cascade-OK corpus variants are age G + 4 habitable
rooms + not park home → Table 5 default = 1 fan.
New helper `_rdsap_extract_fans_default(age_band, habitable_rooms, *,
is_park_home)` + wiring in `ventilation_from_cert` applies
`max(lodged, table_5_default)` so the spec minimum fires when lodging
is below it.
Heating-systems corpus impact (25 cascade-OK variants):
oil 1, oil pcdb 1/2/3 +0.27..+0.29 → EXACT (<1e-4)
electric 1, solid fuel 5/6/7/8 +0.28..+0.43 → EXACT
pcdb 1, ashp +0.41 / +0.18 → ±0.02
electric 3/6/7/8/9, sf 4/9/10/11 +0.39..+0.60 → +0.08..+0.12
electric 5 -0.74 → -1.18 (Cluster B over-shoot)
electric 2 -0.24 → -0.46 (Cluster C HW gap)
gshp +1.09 → +0.94 (Cluster C HW gap)
solid fuel 2/3 +3.08 / +1.76 → +2.77 / +1.31
Cluster A (cohort-wide HLC deficit) is closed. The four remaining open
fronts (Clusters B + C) are now visible without offsetting bugs:
- Cluster B (Table 9c step 12 R sign): electric 5, solid fuel 2/3
- Cluster C (HW kWh cascade): gshp + electric 2 (Appendix N3)
solid fuel 2/3 (Table 4b HW efficiency)
Golden-fixture re-pins:
cert 0240 (age J, TFA 118): PE +2.18 → +5.80, CO2 +0.13 → +0.32
cert 0390-2954 (age F, TFA 360): PE -28.27 → -27.97, CO2 -2.74 → -2.71
Pyright net-zero (44 → 44). Extended handover suite: 893 → 895 pass.
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