Post-S0380.28 (Appendix N footnote 43 reciprocal η interpolation), the
ASHP-cohort chain-test residuals collapsed:
Summary path:
cert 0380: +0.000001 (was +0.034)
cert 0350: +0.000022 (was ~+0.046)
cert 2225: -0.000048 (was ~+0.044)
cert 2636: -0.014945 (was ~+0.003 — cantilever-specific)
cert 3800: -0.000020 (was +0.021)
cert 9285: -0.000034 (was +0.021)
cert 9418: -0.000000 (was +0.00004)
API path (cohort handover thread 4 — open):
cert 0380: +0.025273
cert 0350: +0.030594 (worst)
cert 2225: +0.028517
cert 2636: +0.014705
cert 3800: +0.023327
cert 9285: +0.028674
The previous 0.07 tolerance gave 130%+ headroom over the pre-slice
worst residual; with S0380.28 closing the cluster the same tolerance
gives 130%+ headroom over the post-slice API worst (0.031), letting
regressions hide for a long time before firing.
0.04 gives ~30% headroom over the API path's worst residual (cert
0350 +0.0306) and ~170% over the Summary path's worst (cert 2636
-0.015 — the cantilever fixture). Fires loudly on any regression
beyond the documented API-path residual cluster.
Tightens 15 chain tests (8 Summary path + 7 API path). All pass.
Tests: 710 pass (unchanged), 10 expected fails unchanged.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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| .devcontainer | ||
| .github/workflows | ||
| .idea | ||
| .vscode | ||
| applications | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| deployment/terraform | ||
| docs/adr | ||
| domain | ||
| epr_data_exports | ||
| etl | ||
| infrastructure | ||
| model_data/requirements | ||
| orchestration | ||
| recommendations | ||
| repositories | ||
| 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