`_cylinder_storage_loss_override` returned None for any cylinder whose cylinder_insulation_type wasn't 1 (factory), so a loose-jacket cylinder (code 2, RdSAP 10 field 7-11) fell to the cascade's zero-storage-loss combi/instantaneous default — its real storage loss vanished. SAP 10.2 Table 2 Note 1 gives loose jacket a SEPARATE, ~2× higher loss factor (L = 0.005 + 1.76/(t+12.8) vs factory 0.005 + 0.55/(t+4)); the cylinder_storage_loss_factor_table_2 helper already implements it — only the dispatch was missing. Fix: a `_cylinder_storage_loss_insulation_label` resolver maps the lodged code to the Table 2 branch (1 → factory_insulated, 2 → loose_jacket; None/0/unknown → None, keeping the conservative no-loss default). The override and the HW storage call now route through it instead of hardcoding "factory_insulated". Evidence + validation: a random 2026 register sample has 22 loose-jacket certs that over-predicted SAP by +2.29 mean (18/22 too high, 1/22 within 0.5) — the exact signature of under-counted HW storage loss. After the fix their mean error collapses to +0.45 and 11/22 land within 0.5, with ZERO regression across the worksheet-validated cohort (§4 + golden suite 2394 passed — no validated cert lodges loose jacket, so none shifts). Also unblocks the §10.7 A-F no-water-heating default (next slice) which needs the loose-jacket branch. cert_to_inputs.py pyright unchanged at 32. 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