4df056859e
Implements RdSAP10 §3.9.1 Simplified Type 1 (True Room-in-Roof, no
common walls):
A_RR = 12.5 × √(A_RR_floor / 1.5)
When the cert lodges only a `SapRoomInRoof(floor_area, construction_
age_band)` (no gable / party / sheltered / connected wall lengths),
ΣA_RR_gable/other = 0 → A_RR_final = A_RR, treated as timber-framed
roof structure with U from Table 18 col (4) "Room-in-roof, all elements".
The storey-below roof area (§3.8) is deducted by A_RR_floor per §3.9.
Changes:
- `_part_geometry`: returns new keys `rr_floor_area_m2` and
`rr_simplified_a_rr_m2`; existing `top_floor_area_m2` now subtracts
`rr_floor_area_m2` (the §3.9 deduction).
- Main loop: `roof += U_RR × A_RR` where U_RR is from
`u_rr_default_all_elements(country, rir.construction_age_band)`.
A_RR also joins the (31) external-area total for thermal-bridging.
Test: synthetic 2-storey + RR (15 m² floor) at age B → roof_w_per_k
math closes at abs=0.001 vs hand-computed 100.92 W/K.
Cohort impact (post-slice-11 vs post-slice-8):
- 000474, 000490 unchanged at Δ=0 ✓
- 000480: Δ=+12 → +4 (RR Simplified resolved most of the gap)
- 000487: Δ=+11 → +3 (same)
- 000516: Δ=+12 → +4 (same)
- 000477: Δ=+2 → −6 (overshoot — the U985 PDF uses detailed §3.10
per-surface RR lodgement; Simplified Type 1 at U=2.30 is too high
for an RR with measured retrofit insulation. Closes once Detailed
lands + 000477 fixture upgrades to detailed lodgement, slice 14.)
Reference: RdSAP 10 (10-06-2025) §3.9.1 page 21-22; Table 18 page 45.
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