c144d444e2
Per RdSAP10 §5.8 final note + Table 14 page 41:
"For drylining including laths and plaster use Rinsulation = 0.17 m²K/W."
Applied additively to the base U-value of an otherwise-uninsulated wall:
U_adjusted = 1 / (1/U_base + 0.17) — rounded to 2 d.p. half-up.
Closed form for the cohort fixture (cavity-as-built age C, U_base=1.5):
1 / (1/1.5 + 0.17) = 1.19522... → 1.20 ✓ matches worksheet
Cert 7700-3362-0922-7022-3563 (Summary_000905.pdf / dr87-0001-000905.pdf)
is an End-Terrace house age C lodging:
- Main wall: CavityWallDensePlasterDenseBlock, Filled Cavity, U=0.70
- Alt wall 1: 14.44 m² Cavity As-Built, Dry-lining: Yes (worksheet
`CavityWallPlasterOnDabsDenseBlock`, U=1.20)
Pre-slice the Elmhurst alt-wall mapper hard-coded `wall_dry_lined="N"`
and the cascade ignored the field everywhere — alt-wall U routed to the
cavity-as-built default (1.50), giving fabric (33) 148.72 W/K vs
worksheet 144.38 (Δ +4.33 W/K = ~+0.44 SAP). Worksheet "SAP value" line
lodges unrounded SAP 63.4425.
Implementation:
1. `AlternativeWall.dry_lined: bool = False` on the Elmhurst surveys
dataclass.
2. Elmhurst extractor reads "Alternative Wall N Dry-lining: Yes/No"
into the new field.
3. `_map_elmhurst_alternative_wall` propagates `wall_dry_lined="Y"`
instead of the hard-coded "N".
4. `u_wall` gains a `dry_lined: bool = False` kwarg and a single
§5.8 adjustment site at the as-built bucket (bucket=0). Insulated
buckets already absorb the dry-lining R via Table 14.
5. `_alt_wall_w_per_k` passes `dry_lined=alt_wall.wall_dry_lined == "Y"`.
Scope is the alt-wall path only — main BPs in the corpus all lodge
`wall_dry_lined="N"` (or the Summary PDF omits the field for the main
wall), so the main-wall call site is untouched. Conservative regression
posture per the user's strict cohort-pin convention.
Cohort-2 outcome (38 certs, Summary path):
exact (<1e-4): 22 → **23** (+1: cert 7700 -0.44 → +4.87e-05)
0.07..0.5: 1 → **0** (-1: cert 7700 closes out)
0.5..1: 1 → 1 (cert 9796 unchanged — MIT precision floor)
RAISES: 0 → 0
Cohort-1 ASHP cohort untouched: all certs lodge wall_dry_lined="N", so
the alt-wall call site short-circuits to the original cascade. Verified
no regressions across the 22 previously-exact cohort-2 certs either.
Pyright net-zero on all 8 touched files (183 → 183).
Tests: 704 → 708 pass (+4 new: u_wall §5.8 adjustment fires
correctly; cavity-as-built unchanged without flag; insulated bucket
unaffected by flag; heat_transmission alt-wall delta = 14.44 × 0.30
W/K; cert 7700 full chain hits worksheet 63.4425 at < 1e-4),
10 expected fails unchanged.
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