69668ec634
Unblocks two 38-cert-cohort certs that previously raised
`UnmappedElmhurstLabel("cylinder_size", 'Normal')` at extraction:
cert 2536-2525-0600-0788-2292 ws SAP=79.7264
cert 9421-3045-3205-1646-6200 ws SAP=87.4495
Both Summary §15.1 lodgements read "Cylinder Size: Normal"; both dr87
worksheets lodge line ref (47) "Store volume = 110.0000" L (extracted
from `Hot Water Cylinder → Cylinder Volume 110.00`). RdSAP 10 §10.5
Table 28 documents the "Normal (90-130 litres)" descriptor whose
midpoint is 110 L — the canonical Elmhurst label string in
`datatypes/epc/surveys/elmhurst_site_notes.py` is "Normal (90-130
litres)", and the worksheet's exact 110 L matches the midpoint.
Two-line fix:
+ "Normal": 2, in `_ELMHURST_CYLINDER_SIZE_LABEL_TO_SAP10`
+ 2: 110.0, in `_CYLINDER_SIZE_CODE_TO_LITRES`
The cascade enum 2 is consistent with the existing
`cert_to_inputs.py` docstring's documented (but not-yet-observed)
code 2 → Normal slot, alongside code 3 (Medium / 160 L) and code 4
(Large / 210 L) added in earlier slices.
Slice keeps tight: two mapping unit tests pinning `cylinder_size == 2`
for both certs at extraction. Post-fix the first-attempt cascade
deltas vs worksheet are:
cert 2536 Δ +0.0244 (was: RAISES)
cert 9421 Δ +0.0296 (was: RAISES)
Both deltas now sit in the same systematic +0.02..+0.07 small-gap
band as ~12 other first-attempt certs in cohort 2 — chain test +
±0.07 pin would just paper over a known systematic residual that the
user has explicitly asked to drive towards 1e-4, not toward ±0.07.
Following slice will investigate the shared systematic offset and
close cert 2536 / 9421 along with the rest of the +0.04 band on
the chain.
Pyright net-zero per file:
- datatypes/epc/domain/mapper.py: 32 (baseline 32)
- domain/sap10_calculator/rdsap/cert_to_inputs.py: 35 (baseline 35)
- backend/documents_parser/tests/test_summary_pdf_mapper_chain.py: 0
Regression baseline: 691 pass + 10 fail (= prior 689 + 10 + 2 new GREEN).
Spec refs:
- RdSAP 10 §10.5 Table 28 — "Cylinder Volume" Normal band 90-130 L,
midpoint 110 L (also the canonical Elmhurst label suffix).
- Cert 2536 worksheet `dr87-0001-000889.pdf` line ref (47) = 110.0000.
- Cert 9421 worksheet `dr87-0001-000884.pdf` line ref (47) = 110.0000.
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