7a9a8b7ebe
Cert 001479 Ext2 §8 lodges:
Type: PS Pitched, sloping ceiling
Insulation: S Sloping ceiling insulation
Insulation Thickness: As Built
age C (1930-49)
The Summary's "As Built" thickness encodes "the dwelling as originally
constructed" — for pre-1950 sloping-ceiling roofs that's uninsulated
(no roof insulation in original 1930s construction). The worksheet's
§3 row pins U=2.30 (Table 16 row 0, uninsulated).
Pre-slice the mapper passed thickness=None through, routing to
`u_roof`'s Table 18 col 1 default (0.40 W/m²K for age C). That table
assumes joist insulation accessible from the loft — wrong geometry for
PS (Pitched, sloping ceiling) which has no loft access for retrofit.
Add `_resolve_sloping_ceiling_thickness`: when roof_type starts with
"PS" + lodged thickness is None + age ∈ {A,B,C,D} → thickness=0.
Other ages leave None (cascade default), matching Ext1's worksheet
U=0.15 at age M.
Cascade SAP 61.93 → 61.39 (−0.54, expected — uninsulated roof adds
heat loss); cohort 6 certs all green at 1e-4 (none have PS+age≤D);
pyright net-zero baseline preserved.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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| .devcontainer | ||
| .github/workflows | ||
| .idea | ||
| .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