20424a2dca
The codebase targets SAP 10.2 (14-03-2025) per ADR-0010 and the values match SAP 10.2 (grid CO2 = 0.136 not 0.086, ECF deflator = 0.42, etc.). But ~35 docstrings/comments labelled formulas / sections / appendices as "SAP 10.3 (13-01-2026)" — mis-labeling without affecting behaviour. Relabels all of them to "SAP 10.2 specification (14-03-2025)" where the formula being implemented is identical between 10.2 and 10.3 (which is the vast majority — §1-§9 heat balance, §11/§13 SAP rating equations, Appendix U climate tables, Table 9a/9c utilisation factor). Intentionally retained: - `worksheet/rating.py:14` — explicit comparison "SAP 10.3 widens these to 0.36 / 16.21 / 108.8 / 120.5" annotating where 10.3 values would differ from the 10.2 values we ship. - `tables/table_12.py` — its docstring explicitly compares 10.2 vs 10.3 CO2 / PEF differences; the file's purpose is the 10.2 → 10.3 reference table, so the 10.3 label is intentional discussion. All 515 passing tests continue to pass (only the 48 known cascade-pin failures from slice 19a remain — those are real residuals, not label issues). 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