5d4b55d7f9
SAP 10.2 Table 2b note b (PDF p.159) applies the ×0.9 temperature-factor
reduction only when DHW is "separately timed" relative to space heating
on a SHARED heat generator ("boiler systems, warm air systems and heat
pump systems"). Per RdSAP 10 §10.5.1 (PDF p.55) a separate boiler/
circulator providing DHW only (water-heating code 911 = "Gas boiler/
circulator for water heating only") is NOT the main space-heating system
— so there is no shared timer to apply the ×0.9 against. `_separately_
timed_dhw` now returns False when water_heating_code is not "from main /
2nd-main system" ({901,902,914}), mirroring the existing WHC 903 electric-
immersion carve-out.
Simulated case 19 (electric storage main SAP 402 + WHS 911 + 210 L
loose-jacket cylinder) is the worksheet case. The single flag drives both:
- (53) Temperature factor: 0.54 → 0.6000 (worksheet base, no ×0.9)
- (55) storage loss/day: → 3.4531; (56)/(57)m Jan → 107.0456 (1e-4)
- (59)m primary loss: h=3 (43.31) → h=5 (Jan 64.5792), worksheet-exact
This also worksheet-pins S0380.224's loose-jacket storage loss magnitude
at 1e-4, previously only direction-validated.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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|---|---|---|
| .devcontainer | ||
| .github/workflows | ||
| .idea | ||
| .vscode | ||
| applications | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| deployment/terraform | ||
| docs | ||
| domain | ||
| epr_data_exports | ||
| etl | ||
| infrastructure | ||
| model_data/requirements | ||
| orchestration | ||
| recommendations | ||
| repositories | ||
| sap worksheets | ||
| 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