Implements SAP10.2 Appendix J Table 3c row 1 (Instantaneous combi, two-
profile EN 13203-2 / OPS 26 tests):
(61)m = (45)m × [r1 + DVF × F3] × fu + [F2 × n_m]
DVF (Daily Volume Factor) is piecewise in V_d,m, gated on the test
profile pair: M+L (PCDF separate_dhw_tests=2) or M+S (=3). Helper
`_table_3c_dvf` keeps the spec's piecewise branches close to the
formula in `combi_loss_monthly_kwh_table_3c_two_profile_instantaneous`.
Tests:
- 000477 element-wise LINE_61 pin via Table 3c (PCDB 18118 lodges
r1=0.015, F2=0.0, F3=0.00014; profile_pair=M+L). Closes 000477's
combi-loss component at abs=1e-3 against U985 PDF.
- Parametrized DVF boundary table for M+L (V<100, V=100, V=199.8,
V>199.8) and M+S (V<36, V∈[36,100.2], V>100.2) at abs=1e-9.
Citation fix: parser docstring updates the BRE PCDF Spec reference from
the placeholder "v1.0 §7.11" to the actual Rev 6b (12 May 2021) Gas and
Oil Boiler Table, pp. 14-15 (now landed at docs/sap-spec/). Notes that
PCDF field 48's encoding (1=schedule 2 → profile M; 2=schedules 2+3 →
M+L; 3=schedules 2+1 → M+S) drives the Table 3b/3c row selection, and
that r2 (field 55) is lodged but spec-excluded from SAP.
Table 3c rows 2-5 (storage-FGHRS / storage-combi variants) and Table
3b rows 2-5 stay deferred — symmetric "row 1 only" coverage until a
fixture exercises them.
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