4a21717de6
Adds the user-simulated case-4 worksheet as e2e fixture `001431_6035` — reproduces golden cert 6035's full floor geometry (Main ground-floor HLP 15.99 + first-floor HLP 8.32, the asymmetric upper storey) and 8 windows. All 11 Block-1 line refs pin at abs=1e-4 against the worksheet (SAP 68, ECF 2.2802, cost 937.2341, CO2 4682.3494, space 15745.3260, main fuel 18744.4357). This is the 4th independent 1e-4 confirmation across the 6035 archetype (sim cases 1-4). Case 4 matches 6035 on floors + window areas; the residual ~50 kWh / £11 cascade delta vs 6035 is two lodged inputs only (largest window orientation N vs S; meter type "Dual" vs API 2), not calculator behaviour. Conclusion: the cascade reproduces the spec engine exactly for 6035's geometry, so 6035's +19 PE vs the lodged register is lodged-register divergence (the gov.uk register's rounded value vs the spec-exact worksheet), NOT a calculator gap. 6035 is a "pin-forever" lodged-only cert. Bugs surfaced + fixed along the way: S0380.192 (Simplified-RR remaining area) and S0380.193 (suspended-floor sealed rule). 2341 passed (+11), 0 failed; pyright net-zero. 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