58088c1056
Three extensions closing the last 0.05 SAP residual on 000487 — and with it, all 6 Elmhurst Summary PDFs match their U985 worksheets to 1e-4 unrounded SAP. 1. Alternative-wall extraction. `WallDetails` gains an `alternative_walls: List[AlternativeWall]` field; the extractor parses §7's "Alternative Wall N Area / Type / Insulation / Thickness / Thickness Unknown / U-value Known" prefixed labels. Even when an extension lodges "As Main Wall: Yes" we still pull alt walls from the extension's own subsection (they don't inherit) — the main wall fields are merged with the extension's alt-wall list. 2. Alt-wall mapper plumbing. `_map_elmhurst_alternative_wall` builds a `SapAlternativeWall` per lodged Elmhurst entry; the building- part mapper attaches up to two via `sap_alternative_wall_1/_2` per `SapBuildingPart`. When the surveyor flags `Thickness Unknown: Yes` (cohort's only example — 000487 Ext1's "TimberWallOneLayer" entry) we route the cascade with thickness=None so `u_wall` falls through to the age-band-and- construction default — Timber Frame age B uninsulated → U=1.9, matching the full-cert-text U=1.90 the handbuilt fixture lodges for the same 9-mm thin timber wall. 3. "TI" wall-construction code mapping. The §7 "Alternative Wall 1 Type: TI Timber Frame" uses leading code "TI" rather than the "TF" code seen on the primary wall types — both alias to SAP10 wall_construction=5 (Timber Frame). Final cohort state — all 6 closed at 1e-4: 000474 0.0000 ✓ Slice 47 000477 0.0000 ✓ Slice 52 000480 0.0000 ✓ Slice 50 000487 0.0000 ✓ THIS SLICE 000490 0.0000 ✓ Slice 49 000516 0.0000 ✓ Slice 51 758 tests pass; pyright net-zero (35 baseline). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> |
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| .vscode | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| docs | ||
| epr_data_exports | ||
| etl | ||
| infrastructure/terraform | ||
| model_data/requirements | ||
| packages | ||
| recommendations | ||
| scripts | ||
| services | ||
| sfr/principal_pitch | ||
| survey_report | ||
| utils | ||
| .coveragerc | ||
| .dockerignore | ||
| .gitignore | ||
| __init__.py | ||
| AGENTS.md | ||
| 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_backlog.sh | ||
| 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