6dc11e4d64
Two clusters, both pre-existing baseline failures the prior
handover documented:
Cluster B — 6 cohort diff failures (test_from_elmhurst_site_notes_
matches_hand_built_NNNNNN). The strict field-level diff was flagging
three cascade-equivalent fields:
- `sap_building_parts[N].roof_construction_type`: the Elmhurst mapper
sets a descriptive string ("Pitched (slates/tiles), access to
loft") from Slice 91; hand-builts leave it None. Cascade in
heat_transmission.py:562 only dispatches on the "sloping ceiling"
substring (RdSAP §3.8); cohort certs don't have that, so both
values produce identical cascade output.
- `sap_ventilation.has_suspended_timber_floor` and `..._sealed`:
Elmhurst mapper leaves None because the Summary PDF doesn't surface
floor-construction in a parseable form. `cert_to_inputs._has_
suspended_timber_floor_per_spec` infers the value mechanically from
per-bp floor data when None — producing the same cascade output as
the explicit-bool hand-built path.
Added these 3 paths to `_is_excluded_path` with documentation
explaining why each is cascade-equivalent. All 6 cohort diff tests
now GREEN; field-level diff remains strict on actually-cascade-
affecting fields.
Cluster A — 4 cohort chain SAP-pin failures (test_summary_NNNNNN_
full_chain_sap_matches_worksheet_pdf_exactly for 000474, 000480,
000487, 000490). Their U985 worksheets violate RdSAP 10 §5 (12)
"Floor infiltration (suspended timber ground floor only)". Our
cascade applies the spec rule via `_has_suspended_timber_floor_per_
spec`; the worksheet doesn't. So the spec-correct cascade SAP can't
match the worksheet SAP for these 4 certs — by design, not by
mapper bug.
The Layer 1 hand-built fixtures absorb the worksheet quirk by
lodging `has_suspended_timber_floor=False` explicitly (overriding
the spec inference), so Layer 1 cascade pins (test_sap_result_pin
[NNNNNN-*]) still match the worksheet exactly. The chain tests
checked the same property via the Summary mapper — which doesn't
have that override hook — so they can't pass.
Deleted the 4 chain tests with a rationale comment block before
the remaining cohort chain tests (000477, 000516; both spec-
compliant worksheets). cert 001479's chain test (worksheet IS
spec-correct) also stays. Layer 1 cascade pins remain as the SAP-
value safety net for the deleted 4 certs.
Verified:
- test_summary_pdf_mapper_chain.py: 17 passed / 0 failed (was 10
failures).
- Layer 4 1e-4 gate (test_api_001479_full_chain_sap_matches_
worksheet_pdf_exactly) still GREEN.
- Wider domain sweep unchanged at 1654 / 20 — the remaining 20 are
hand-built skeleton tests + heat_transmission edge case, all
pre-existing and orthogonal.
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