b6454d27e6
🎯 Closes the 7th and final ASHP cohort cert. Summary path now
mirrors the API path's complete cohort closure at the ±0.07 spec
precision floor.
Cert 9418-3062-8205-3566-7200 (Summary_000902.pdf): Daikin Altherma
EDLQ05CAV3 (PCDB 102421 — distinct from the rest of the cohort's
Mitsubishi 104568), end-terrace house, TWO 1.64 kWp PV arrays (N+S),
210 L cylinder, `heating_duration_code='24'` (continuous heating).
Worksheet "SAP value" lodges 84.6305.
Single-line fix to
`_ELMHURST_CYLINDER_SIZE_LABEL_TO_SAP10`:
+ "Large": 4,
extending Slice S0380.6's "Medium" → 3 mapping to also cover the
"Large" cylinder. Without it `_elmhurst_cylinder_size_code('Large',
True)` returned None → cascade routed off the HP-with-cylinder HW
path → HW kWh under by 466 (Summary 1404 vs API 1871 vs
worksheet-implied 1871 via (64)/(216) divide).
Forcing function: cert 9418 first-attempt Summary SAP closes from
Δ +2.5973 (lookup miss) to Δ **+0.0296** — within ±0.07. The PV
multi-array Slice S0380.9 work was already sufficient for cert
9418's two-array PV layout (1.64 kWp N + 1.64 kWp S surfaced
correctly first-try).
ASHP cohort closure: 7/7 at spec floor:
cert Δ vs worksheet
0380 +0.0594
0350 +0.0458
2225 +0.0441
2636 +0.0323
3800 +0.0442
9285 +0.0502
9418 +0.0296 ← this slice
───────────────
mean +0.0437
Identical disposition to the API path's cohort closure at slice
102f (commit
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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