aab75cf902
The gov-EPC API `wall_construction` enum diverges from the calculator's
internal WALL_* code-space (confirmed by the description-vs-code audit across
the corpus): API 1-5 align (granite/sandstone/solid-brick/cavity/timber), but
API 6=basement, 8=system built, 9=cob — whereas the calc constants are
WALL_SYSTEM_BUILT=6, WALL_COB=7, WALL_PARK_HOME=8, WALL_CURTAIN=9. Codes 8 and
9 therefore fell OUT of u_wall's `known_types` and resolved only via the
`walls[].description` fallback, with two failure modes:
- System built (API 8): a cert lodging no description silently defaulted to
cavity (1.5) instead of the system-built U (RdSAP 10 Table 6, e.g. band E
as-built 1.7). Latent in the corpus (all 43 carry a description) but a
silent mis-bill waiting to happen.
- Cob (API 9): a LIVE bug — calc WALL_CURTAIN=9 (set by the Summary path's
"CW" mapping, paired with a curtain_wall_age) intercepts code 9 in the
`construction == WALL_CURTAIN` branch, billing the cob wall at the curtain
default 2.0 regardless of description.
Fix, split by where each can be disambiguated safely:
- System built: `u_wall` gains `_GOV_API_WALL_CODE_TO_TYPE = {8: WALL_
SYSTEM_BUILT}`, resolving code 8 directly (calc WALL_PARK_HOME=8 is never
dispatched, so no collision; gov 6=basement is left to the basement
machinery — cannot remap 8→6).
- Cob: translated at the API mapper (`_api_wall_construction_code`, 9 →
WALL_COB=7) where the source is unambiguously the gov enum — the gov API
has no curtain code, so an API 9 is always cob. Applied to main + alt
walls across the from_rdsap_schema_* builders. The Summary path's "CW"→9
curtain mapping is untouched.
Worksheet harness UNAFFECTED (47/47, 0 divergers — Summary path unchanged).
API gauge 65.1% -> 65.3% within-0.5 (mean|err| 1.075 -> 1.059): the n=1 cob
cert now computes cob instead of curtain. 3 AAA tests (u_wall system-built
without description; mapper cob 9->7; aligned/system/basement pass-through).
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