2b1f90a7de
The Elmhurst extractor crashed parsing simulated-case-6's room-in-roof
window rows: the §11 "Location" cell "Roof of Room in Roof" wraps across
the layout prefix/suffix blocks and leaked into the glazing-type phrase
("Double between 2002 Roof of Room and 2021 in Roof" → UnmappedElmhurst-
Label). Fix (`_parse_window_from_anchors`): detect the roof-of-room
location tokens, strip them from the before/after blocks so the glazing
phrase reconstructs cleanly, and set location="Roof of Room".
Mapper: `_is_elmhurst_roof_window` gains a "Roof of Room" location branch
(highest-confidence rooflight signal, above the BP-roof-type / U>3.0
gates); `_ELMHURST_ROOF_WINDOW_U_BY_GLAZING` gains "Double between 2002
and 2021" → 2.30 (case 6 lodges the already-inclined roof-window U, so
the +0.30 inclination adjustment must not double-apply).
This is the site-notes mirror of S0380.198 (API window_wall_type=4):
both paths now route room-in-roof rooflights to (27a) at the inclined U.
Validated against the case-6 P960 worksheet at abs=1e-4:
(27) Windows = 22.7408 (cascade 22.7407)
(27a) Roof Windows = 13.0375 (cascade 13.0375, EXACT)
(31) ext area = 336.13
Case 6 is pinned only on the §3 window line refs (new standalone test,
not added to the section-pin `_FIXTURES`) because its DUAL main heating
(51% rads + 49% underfloor, oil) makes the §10/§12 per-system lines
non-comparable to SapResult's aggregated fields — documented in the
fixture module. Summary mirrored to Summary_001431_case6.pdf.
Suite: 2355 passed, 1 skipped. New code: 0 pyright errors.
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 | ||
| sap worksheets | ||
| 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