7992154ffd
Two final API gaps to close cert 9501 at 1e-4:
(a) PV array surfacing — third shape variant:
Schema-21 EPCs carry `photovoltaic_supply` as one of three shapes:
- legacy `{"none_or_no_details": {...}}` (PV absent / roof-only)
- nested list `[[{...}], ...]` (cohort cert 2130)
- dict wrapper `{"pv_arrays": [{...}]}` (cert 9501)
The schema's `PhotovoltaicSupply` modelled only `none_or_no_details`
— cert 9501's measured arrays under `pv_arrays` were silently
dropped (Δ -£250 PV credit → -9.32 SAP). Added
`SchemaPhotovoltaicArray` dataclass + `pv_arrays:
Optional[List[...]]` sibling field on `PhotovoltaicSupply`; updated
`_map_schema_21_pv` to dispatch on the new shape.
(b) Gap-aware glazing lookup (RdSAP 10 Table 24 row 2):
DG pre-2002 spec U varies by gap: 6mm=3.1 / 12mm=2.8 / 16+=2.7.
The mapper's flat `_API_GLAZING_TYPE_TO_TRANSMISSION[3]` returned
U=2.8 unconditionally — cert 9501 lodges `glazing_gap="16+"` so
the worksheet uses 2.7. Added `_API_GLAZING_TYPE_GAP_TO_
TRANSMISSION` keyed by (type, gap) with the spec-table values for
code 3; `_api_glazing_transmission` consults the per-gap dict
first, falling back to type-only when no gap entry exists.
Refactored the inline `SapWindow(...)` build into
`_api_sap_window` helper (also nets one pyright error: net-zero
actually improved 33 → 32 on mapper.py).
Effect on cert 9501 API path:
- sap_continuous 59.20 → **68.525161** (= worksheet 68.5252 exact;
Δ -0.000039 — well within 1e-4)
- total_fuel_cost £1101 → £849.21 (= worksheet 849.21 exact)
- pv_export_credit £0 → £250.02 (= worksheet 250.02 exact)
Re-pinned residuals (5 cohort certs with glazing_gap="16+" or 6 now
pick up the spec-correct DG-pre-2002 U):
- 0300: PE +8.44 → +8.28, CO2 -0.23 → -0.25
- 6035: PE +48.30 → +47.85, CO2 +1.10 → +1.09
- 7536: PE -6.51 → -7.08, CO2 -0.17 → -0.19
- 8135: PE -5.31 → -3.66 (gap=6 spec U=3.1), CO2 -0.07 → -0.04
- 2130: PE -38.18 → -38.63, CO2 +0.30 → +0.30
Layer 4 chain test `test_api_9501_full_chain_sap_matches_worksheet
_pdf_exactly` added — third production gate after cert 001479 +
cert 0330. First flat-shaped cert in the production gate set.
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