2cebba28dc
Three tightly-coupled fixes that close another big chunk of cert
001479's API-path SAP gap.
(1) Surface human-readable strings on SapBuildingPart from API ints
The API mapper sets `bp.floor_construction_type` and `bp.roof_
construction_type` strings via int→string lookups so the cascade
fixes from Slices 88 + 89 also apply to the API path:
- `_API_FLOOR_CONSTRUCTION_TO_STR`: 1=Solid, 2=Suspended timber
(drives `u_floor`'s suspended-branch selection)
- `_API_ROOF_CONSTRUCTION_TO_STR`: 1=Flat, 3=Pitched no-loft,
4=Pitched-access-to-loft, 5=Vaulted, 8=Pitched-sloping-ceiling
(drives the cos(30°) inclined-surface factor)
(2) Pre-1950 PS sloping ceiling → thickness=0 (port Slice 57)
`_api_resolve_sloping_ceiling_thickness` mirrors Slice 57's Elmhurst-
mapper logic: when a PS pitched-sloping-ceiling roof (API code 8)
carries no insulation thickness on a pre-1950 dwelling (age bands
A-D), set thickness=0 so the cascade returns the uninsulated U=2.30
rather than the age-band-default (e.g. U=0.40 for age C).
(3) Cascade: per-bp `roof_thickness=0` overrides global "insulated"
description
For cert 001479 the API's `epc.roofs` carries two descriptions
(Main's "Pitched, 300mm loft insulation" + Ext1's "Pitched,
insulated") which the cascade joined into a global
`roof_description`. `u_roof`'s Table 18 footnote (2) ("assumed
insulation if described as insulated") then incorrectly upgraded
Ext2's explicitly-uninsulated thickness=0 to ins_mm=50 → U=0.68
instead of 2.30. Fix: in `heat_transmission.py` per-bp roof loop,
drop `roof_description` when the per-bp `roof_thickness` is
explicitly 0. The per-bp thickness lodgement is the authoritative
signal; the global description is for cases where no thickness was
lodged at all.
Impact on cert 001479 API path (cumulative through Slice 91):
Before Slice 87: +3.0752 SAP delta
After Slice 90: +1.5298 (party wall enum fix)
After Slice 91: +1.0970 (descriptive strings + roof desc fix)
Roof W/K is now EXACT for cert 001479 (10.3438 = worksheet target).
Golden cert residual updates: 8 of 10 expectations shifted by
Slices 87-91 cascade improvements:
0240: SAP -10→-13, PE -2.05→+10.45, CO2 -0.04→+0.59
6035: SAP -4→ -5, PE +34.02→+34.50, CO2 +0.76→+0.77
7536: SAP +3→ +2, PE -22.53→-15.83, CO2 -0.60→-0.42
8135: SAP unchanged, PE -16.51→-16.37, CO2 unchanged
2130: SAP unchanged, PE -51.90→-51.10, CO2 +0.14→+0.15
0240/6035/7536: spec-compliance shifts (more accurate U-values
move further from the assessor's lodged SAP, because the
assessor's SAP was itself produced with the same incorrect
paths the cascade previously matched).
Pyright: mapper.py 33 → 33; heat_transmission.py 13 → 13;
test_golden_fixtures.py 0 → 0.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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| .github/workflows | ||
| .idea | ||
| .vscode | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| docs | ||
| epr_data_exports | ||
| etl | ||
| infrastructure/terraform | ||
| model_data/requirements | ||
| packages | ||
| recommendations | ||
| scripts | ||
| services | ||
| sfr/principal_pitch | ||
| survey_report | ||
| utils | ||
| .coveragerc | ||
| .dockerignore | ||
| .gitignore | ||
| __init__.py | ||
| AGENTS.md | ||
| 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_backlog.sh | ||
| 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