Closes cert 0036-6325-1100-0063-1226 (the cohort's first FLAT fixture)
from Δ -0.3737 → +0.2987 by applying the RdSAP 10 Table 15 footnote *
rule: flats/maisonettes with unknown party-wall construction default
to U=0.0 W/m²K (both sides are heated dwellings, no heat loss).
Worksheet dr87-0001-000910.pdf line ref (32) lodges:
Party walls Main 24.13 m² U=0.00 A×U = 0.0000 W/K
matching the Table 15 footnote *. The cascade was applying the U=0.25
*house* default to this lodging because:
- Elmhurst Summary lodged `party_wall_type='U Unable to determine'`
- mapper translated it to `party_wall_construction=0` (the cross-
mapper-parity "unknown" sentinel)
- `u_party_wall(0)` fell through to `return 0.25` (the final-branch
default — same path as `u_party_wall(None)`)
That produced cascade `party_walls_w_per_k = 24.13 × 0.25 = 6.03` W/K
of heat-loss excess, propagating through (39) HTC → (97)..(98c) space
heat demand → (211) main fuel kWh → (255) total cost → (257) ECF →
(258) SAP rating. Net effect: cascade SAP 62.3734 vs worksheet 62.7471.
Two-part fix:
1. `domain/sap10_ml/rdsap_uvalues.py:u_party_wall` — add
`is_flat: bool = False` keyword argument. When True AND
`party_wall_construction in (None, 0)` (both the API-mapper None
path and the Elmhurst-mapper 0 sentinel for "Unable to determine"),
return 0.0 instead of the house default 0.25. Spec citation: RdSAP
10 Table 15 footnote * ("for flats and maisonettes with unknown
party-wall construction").
2. `domain/sap10_calculator/worksheet/heat_transmission.py` — wire
the cascade to pass `is_flat=_is_flat_or_maisonette(epc.property
_type)`. Adds a new helper `_is_flat_or_maisonette` distinct from
the existing `_is_house` (which excludes bungalows from
*cantilever* detection — bungalows ARE houses for party-wall
purposes per the spec). The new helper checks both the descriptive
form ("Flat" / "Maisonette") and the SAP schema enum-as-string
form ("2" / "3" — per `datatypes/epc/domain/epc_codes.csv
property_type` rows: 0=House, 1=Bungalow, 2=Flat, 3=Maisonette,
4=Park home).
The schema-enum collision was the bug-fix-with-a-bug: an initial
implementation used "1"/"2" (Flat/Maisonette per intuition) but those
are actually Bungalow/Flat per the schema, which routed all 10
bungalow certs onto the flat path. Corrected pre-commit.
Cohort-2 Summary-path delta after slice:
cert 0036 (Flat) Δ -0.3737 → Δ +0.2987 ✓ improved by +0.67
10 bungalow certs unchanged (correctly NOT flat)
5 non-flat house certs in band unchanged (different root cause —
next slice)
Bungalow certs (cohort 1 + 2) verified unchanged at delta ≤ +0.04 each.
Tests added (5):
- `test_u_party_wall_unknown_for_flat_returns_table15_footnote_zero`
pins the spec rule on the helper.
- `test_u_party_wall_unknown_sentinel_zero_treated_as_unknown_for_flat`
pins the Elmhurst-mapper `0` sentinel parity.
- `test_u_party_wall_known_solid_still_returns_zero_when_is_flat_false`
pins precedence: explicit Solid code overrides the is_flat flag.
- `test_summary_0036_flat_unknown_party_wall_routes_to_u_zero` chain-
test through `from_elmhurst_site_notes` + cert_to_inputs +
calculate_sap_from_inputs to assert `party_walls_w_per_k == 0` at
1e-4 tolerance.
Pyright net-zero per file:
- domain/sap10_ml/rdsap_uvalues.py: 1 (baseline 1)
- domain/sap10_calculator/worksheet/heat_transmission.py: 13 (baseline 13)
- domain/sap10_ml/tests/test_rdsap_uvalues.py: 66 (baseline 66)
- backend/documents_parser/tests/test_summary_pdf_mapper_chain.py: 0
Regression baseline: 698 pass + 10 fail (= prior 694 + 10 + 4 new).
Note: the remaining +0.2987 residual on cert 0036 is in (30) external
roof — worksheet lodges Ext1 flat roof Plasterboard insulated U=2.30
giving 2.51 W/K; cascade has roof_w_per_k=0 (Ext1 roof contribution
missing). Separate slice.
Spec refs:
- RdSAP 10 Table 15 ("U-values of party walls") row 4 — house unknown
default 0.25 W/m²K.
- RdSAP 10 Table 15 footnote * — flat/maisonette unknown default
0.0 W/m²K.
- `datatypes/epc/domain/epc_codes.csv` rows
`property_type,{0..4},...` — SAP/RdSAP schema property-type enum.
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