d61a27e0ff
RdSAP10 §15 p.66 (Rounding of data):
"All element areas (gross) including window areas and
conservatory wall area: 2 d.p."
Certs 2800 and 4800 lodge heat_loss_perimeter = 21.25 m and
room_height = 2.30 m. The exact-decimal products
21.25 * 2.30 = 48.8750 (gross wall area)
6.25 * 2.30 = 14.3750 (party wall area)
sit ON the HALF_UP rounding boundary and must round to 48.88
and 14.38 m^2. Float representation drops them BELOW the
boundary:
21.25 (float) * 2.30 (float) ~= 48.87499...
HALF_UP 2 d.p. = 48.87
6.25 (float) * 2.30 (float) ~= 14.37499...
HALF_UP 2 d.p. = 14.37
The 0.01 m^2 area shortfall feeds into (29a) net wall area and
(32) party wall area, and into (31) total external area for
(36) thermal bridging — propagating a +0.0007 SAP residual via
the U-weighted heat-loss sums.
Adds `_decimal_round_half_up_sum` helper and routes both
gross-wall and party-wall sums through it, mirroring the
S0380.34 fix on `_living_area_fraction`. Certs that sit off
the .005 boundary (i.e. nearly all) are unaffected; certs
that land on it close from +0.0007 → <5e-5.
Cohort-2 distribution after S0380.31..S0380.35:
38 exact (was 36 exact + 2 <=0.07).
Cohort-1 ASHP cohort: 9/9 <1e-4 (unchanged).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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| .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