f2e8b657ce
RdSAP 10 Specification §15 "Rounding of data" (PDF p.66):
"For consistency of application, after expanding the RdSAP data into
SAP data using the rules in this Appendix, the data are rounded
before being passed to the SAP calculator. The rounding rules are:
U-values: 2 d.p.
All element areas (gross) including window areas and conservatory
wall area: 2 d.p."
The §3.9.1 / §3.10.1 shell formula A_RR_shell = 12.5 × √(A_RR_floor /
1.5) produces a gross element area for the room-in-roof. Pre-slice the
cascade kept the raw float (e.g. cert 000565 BP[0]: 12.5 × √30 =
68.46532...), then subtracted lodged wall surfaces to obtain the (30)
residual roof area. The worksheet rounds A_RR_shell to 2 d.p. (68.47)
BEFORE the subtraction — per §15 above.
Cert 000565 has three BPs that fire this path (Main, Ext1, Ext3 — all
have detailed wall surfaces with no `slope` / `flat_ceiling` /
`stud_wall` lodgement, so §3.10.1 residual fires). Each contributes a
sub-rounding residual that the unrounded cascade was missing:
BP[0] Main: 68.4653 → 68.47; residual 43.9653 → 43.97 (+0.0016 W/K)
BP[1] Ext1: 59.5119 → 59.51; residual 18.2519 → 18.25 (−0.0007 W/K)
BP[3] Ext3: 57.7350 → 57.74; residual 17.3450 → 17.35 (+0.0017 W/K)
Movement (HEAD `d0268a5b` → this slice) for cert 000565:
roof_w_per_k 51.3768 → 51.3795 ✓ EXACT (Δ −0.0027 → 0.0)
thermal_bridging 128.6448 → 128.6460 ✓ EXACT (Δ −0.0012 → 0.0)
total_external_a 857.6323 → 857.6400 ✓ EXACT (Δ −0.0077 → 0.0)
space_heating_kwh 59008.2363 → 59008.3499 ✓ EXACT (Δ −0.1136 → 0.0)
main_fuel_kwh 34710.7272 → 34710.7941 ✓ EXACT (Δ −0.0669 → 0.0)
total_fuel_cost 4680.2515 → 4680.2593 ✓ EXACT (Δ −0.0078 → 0.0)
co2_kg_per_yr 6447.6161 → 6447.6263 ✓ EXACT (Δ −0.0102 → 0.0)
sap_score_cont 28.5087 → 28.5087 ✓ EXACT (Δ +4.2e-5 → −4.7e-5)
sap_score (int) 29 ✓ EXACT (preserved)
ecf 5.38682 → 5.38683 (vs ws 5.3868, Δ +3.2e-5)
Cert 000565 truly closes — every SAP-result field within 1e-4 of the
worksheet PDF.
Cohort safety: 6 cohort certs (000474..000516) unchanged — cohort
000516's roof routes through the Detailed branch with `slope` /
`flat_ceiling` / `stud_wall` lodgements, so `has_roof_lodgement=True`
short-circuits the §3.10.1 residual block. Cohort certs 000474/477/
480/487/490 are pre-S0380.103 hand-built fixtures whose RR fields don't
exercise the simplified A_RR_shell path (rir.floor_area=0 or
detailed_surfaces only).
Test added: `test_summary_000565_a_rr_shell_rounded_2_dp_closes_roof_
w_per_k_per_rdsap_10_section_15` pins the cascade roof_w_per_k = 51.3795
exactly (Δ ≤ 1e-4 vs worksheet (30) Σ).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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| .devcontainer | ||
| .github/workflows | ||
| .idea | ||
| .vscode | ||
| applications | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| deployment/terraform | ||
| docs/adr | ||
| domain | ||
| epr_data_exports | ||
| etl | ||
| infrastructure | ||
| model_data/requirements | ||
| orchestration | ||
| recommendations | ||
| repositories | ||
| 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