bf62738787
Elmhurst Summary §15.1 sometimes lodges "Cylinder Size: No Access" (the
inaccessible-cylinder lodging form). Pre-slice the mapper strict-raised
`UnmappedElmhurstLabel` because `_ELMHURST_CYLINDER_SIZE_LABEL_TO_SAP10`
only carried the three lodged-size labels (Normal/Medium/Large).
Per RdSAP 10 Specification Table 28 page 55 ("Cylinder size"):
> "Inaccessible:
> - if off-peak electric dual immersion: 210 litres
> - if from solid fuel boiler: 160 litres
> - otherwise: 110 litres"
And per §10.5.1 page 53:
> "An electric immersion is assumed dual in the following cases:
> - cylinder is inaccessible and electricity tariff is dual"
So the 210-L "off-peak electric dual immersion" branch fires automatically
when both (a) cylinder is inaccessible AND (b) water heating is electric
AND (c) meter type is dual / off-peak (no separate dual-immersion lodging
required).
New helper `_resolve_elmhurst_inaccessible_cylinder_size` keys off
§15.0 "Water Heating Fuel Type" + §14.2 "Electricity meter type":
- solid fuel water heating fuel (Anthracite, House coal, Wood, etc.)
→ 160 L → SAP10 cylinder_size enum 3 (Medium)
- "Electricity" + dual/18-hour/24-hour/off-peak meter
→ 210 L → SAP10 cylinder_size enum 4 (Large)
- otherwise → 110 L → SAP10 cylinder_size enum 2 (Normal)
`_elmhurst_cylinder_size_code` extended with optional water_heating_fuel
+ meter_type kwargs; the single call site at line 4459 threads
`survey.water_heating.water_heating_fuel_type` and
`survey.meters.electricity_meter_type`.
Property 001431 (the heating-systems corpus dwelling) lodges `pcdb 1`
with §14.0 Potterton oil boiler (PCDF 716) + §15.0 "Water Heating Fuel
Type: Heating oil" + §14.2 "Electricity meter type: 18 Hour" — water
fuel is oil (not electric, not solid fuel) → "otherwise" branch → 110 L
→ enum 2 (Normal). `pcdb 1` now cascade-executes (corpus tally 34 → 35
OK / 41 populated).
Extended handover suite at HEAD post-slice: **831 pass, 0 fail**
(was 830 + 1 new AAA test).
Pyright net-zero on touched files (45 → 45 — pre-existing errors
unrelated).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
|
||
|---|---|---|
| .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