5fcb594f0a
Closes the three-layer gap that left the Summary mapper producing
`wall_insulation_thickness=None` even though Summary §7.0 lodges
"Insulation Thickness" / "100 mm" explicitly on cert 0380. Three
small co-ordinated edits ship the field end-to-end:
1. `datatypes/epc/surveys/elmhurst_site_notes.py` — add
`WallDetails.insulation_thickness_mm: Optional[int] = None`,
mirroring the existing `RoofDetails.insulation_thickness_mm`.
2. `backend/documents_parser/elmhurst_extractor.py` — extend
`_wall_details_from_lines` to read the `_local_val(lines,
"Insulation Thickness")` label inside the §7 Walls block (the
"Insulation Thickness" label is local-scoped per block, so it
does not collide with §8 Roofs / §9 Floors).
3. `datatypes/epc/domain/mapper.py` — surface
`wall_insulation_thickness=f"{walls.insulation_thickness_mm}mm"`
on `SapBuildingPart`. Mirrors the API mapper's string-with-unit
shape (`'100mm'`) so cert-to-cert parity tests (Summary EPC ≡
API EPC) compare equal; the cascade's `_parse_thickness_mm`
accepts either form.
Forcing function (Slice S0380.1): cert 0380 Summary cascade SAP
moves from 86.8671 (Δ -1.6433 — i.e. after Slice S0380.3 only) to
88.1981 (Δ -0.3123) — closes ~81% of the remaining gap. Critically,
`walls_w_per_k` now hits API parity exactly (Summary 11.6150 ≡ API
11.6150) — the composite filled-cavity-plus-external U-value calc
is now keyed off the lodged 100 mm thickness rather than its
internal default.
Residual -0.31 SAP vs worksheet is comparable to the documented HP
cohort's API-path residual of +0.06 (cert 0380 API path closes at
+0.0594). Summary path is now within ±0.37 of API path. Remaining
diffs to investigate (per the next-step diagnostic): hot-water
cascade (Summary 1002.74 kWh vs API 878.05 kWh, +124.69 kWh), HLC
parameters (heat_transfer_coefficient still differs slightly through
secondary terms), and possibly secondary-heating routing. The
worksheet vs API +0.06 residual is the documented Appendix N3.6
PSR-interpolation precision floor and out of scope for Summary-path
closure.
Added focused unit test
`test_summary_0380_surfaces_wall_insulation_thickness_100mm` that
pins the mapper boundary directly (Summary "100 mm" line pair →
EPC `wall_insulation_thickness="100mm"`), so future debuggers can
localise regressions in the new extractor / field / mapper path
before walking the full chain.
Pyright net-zero across all four edited files:
datatypes/epc/domain/mapper.py: 32 (baseline)
datatypes/epc/surveys/elmhurst_site_notes.py: 0
backend/documents_parser/elmhurst_extractor.py: 0
backend/documents_parser/tests/test_summary_pdf_mapper_chain.py: 0
Regression suite: 672 pass + 11 fail (vs handover baseline 669 + 10
— net +3 pass for the three Slices S0380.2-4 GREEN unit tests; the
+1 fail vs baseline is still the S0380.1 chain test which this slice
moves from Δ -1.6433 to Δ -0.3123 but does not yet fully close).
Spec refs:
- SAP 10.2 §3.7 / Appendix S Table S5 (composite filled-cavity-plus-
external U-value calc — series-resistance form keyed off lodged
insulation thickness)
- Cert 0380 Summary PDF §7.0 lines 121-122 ("Insulation Thickness"
/ "100 mm" — the missing extractor read this slice adds)
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