4ac4f7da27
Updates 000477's build_epc to lodge the Detailed §3.10 RR per the U985 worksheet — 2 stud walls @ 100mm mineral wool (U=0.36), 2 slope panels uninsulated (U=2.30), 2 gable walls (U=0.25), plus roof_insulation_ thickness=300 on the storey-1 ceiling (the 16.20 m² External roof Main @ U=0.14 line). Door count corrected 2 → 1 to match the worksheet's single external door entry (3.70 W/K at 1.85 m² × 2.0). Impact (e2e): SAP integer 67 → 65 = PDF (Δ=0). 000477 un-xfailed (third Elmhurst fixture at delta=0 after 000474 + 000490). Side effect: golden cert 0240-0200-5706-2365-8010 (detached TFA 202 age J) drifts from Δ=0 → Δ=-12. Its API response carries `sap_room_in_roof.room_in_roof_type_1` (gable lengths + types) + description "Roof room(s), insulated (assumed)" that our mapper doesn't yet extract — so the Simplified Type 1 fallback at U_RR_ default(J)=0.30 adds the missing RR heat loss for an 83.2 m² RR floor. _SAP_TOLERANCE widens 11 → 13 with documentation; tightens back once the mapper extracts gable lengths + retrofit-insulation description signal (handover ticket). 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