878088bf2d
Cert 000565 has two Table 4f line items the existing
`_PUMPS_FANS_KWH_BY_MAIN_CATEGORY` lookup misses:
- (230e) Main 2 gas-combi flue fan = 45 kWh (Main 1 is the HP, so
Main 1's category doesn't carry the gas flue fan — the 2-main
cert has its flue fan on Main 2)
- (230g) Solar HW pump = 80 kWh (= [25 + 5×H1] × 2 per Table 4f
with H1 = 3 m² collector aperture default)
New `_table_4f_additive_components(epc)` sums these on top of the
Main 1 category base. Per SAP 10.2 Table 4f page 174:
- Gas boiler flue fan (fan-assisted): 45 kWh
- Solar thermal system pump (electrically powered):
[25 + 5×H1] × (2000 ÷ 1000) kWh, where H1 is the solar
collector aperture area in m²
H1 currently defaults to 3.0 m² (cert 000565 lodging — flat-panel
3 m² is the most common UK domestic solar HW spec). TODO: extend
the Elmhurst schema + extractor to lodge `solar_collector_aperture_
area_m2` from Summary §16 so the cascade reads the actual value.
Cert 000565 cascade impact:
- pumps_fans_kwh_per_yr: 130 → 255 (Δ −122.52 → +2.48)
The remaining +2.48 surplus is the (230a) MEV component
miscounted in the 130 default base — Main 1 HP should give base
= 0 per Table 4f ("circulation pump in COP"), but mapper-side
HP-category derivation is its own deferred slice. With MEV
properly wired and HP category = 4, the cert closes exactly to
the 252.52 worksheet pin.
- total_fuel_cost_gbp: Δ −167.49 → −150.93 (the +125 kWh delta
bills at the ALL_OTHER_USES blended rate £0.1324 → +£16.55)
- sap_score_continuous: Δ +1.91 → +1.72
Deferred (out of slice scope):
- (230a) MEV / MVHR — needs PCDB MEV lookup table + IUF derivation.
For cert 000565 worksheet shows MEV = 127.5 kWh = IUF × SFP ×
1.22 × V (V = 641.59 m³, PCDF 500755 SFP = 0.1274, IUF ≈ 1.278
derived from worksheet). Next slice.
- HP SAP code (224, 211-227, 521-524) → main_heating_category=4
in mapper — would change pumps_fans Main 1 base from 130 default
to 0 (correct per Table 4f HP row). Currently blocked on MEV
cascade landing — without MEV, dropping base from 130 to 0
worsens the residual.
Cohort regression check: 427 pass + 10 expected 000565 fails. The
14 Elmhurst Summary fixtures + JSON fixtures + cohort ASHP all
either: (a) have no Main 2 lodged → no flue contribution, or
(b) have no solar HW lodged → no pump contribution. The additive
helper returns 0 for those certs.
Spec source: SAP 10.2 §10a Table 4f page 174 (verified verbatim).
RdSAP 10 references Table 4f via §19.1.
Pyright net-zero (34 / 34).
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