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Khalim Conn-Kowlessar 006e9842c9 Slice 89: PS pitched-sloping-ceiling roof area uses inclined surface
RdSAP 10 §3.8 "Roof area" spec:
  "Roof area is the greatest of the floor areas on each level...
   In the case of a pitched roof with a sloping ceiling, divide the
   area so obtained by cos(30°)."

The cascade previously used `top_floor_area_m2` (horizontal projection)
verbatim for the roof area calculation — correct for flat roofs and
pitched-with-loft (where assessors measure on the horizontal), but
~15% under-area for PS pitched-sloping-ceiling roofs (1/cos(30°) =
1.1547). For cert 001479 Ext1 + Ext2 (both PS sloping ceiling):

  Ext1: cascade 5.37 m² × 0.15 = 0.81 W/K
        worksheet 6.20 m² × 0.15 = 0.93 W/K  (delta -0.12)
  Ext2: cascade 1.92 m² × 2.30 = 4.42 W/K
        worksheet 2.22 m² × 2.30 = 5.11 W/K  (delta -0.69)
  Total roof W/K shortfall: -0.81

Fix: detect PS pitched-sloping-ceiling roofs via `bp.roof_construction
_type` (string lodgement from the Summary §8 "Roof Type" line) and
apply the 1/cos(30°) inclination factor before rounding the gross
roof area.

Schema addition: `SapBuildingPart.roof_construction_type: Optional[
str] = None` mirrors the existing `floor_construction_type`. Mapper
populates it via `_strip_code(roof.roof_type)` for both Main and
Extension bps — the Elmhurst Summary lodges the roof type
explicitly (e.g. "PS Pitched, sloping ceiling" / "PA Pitched (slates
/tiles), access to loft" / "Flat").

**Result: cert 001479 Summary → mapper → cascade now lands at SAP
69.0094 EXACT (delta -0.0000) — Layer 2 GREEN at 1e-4.** Full fabric
breakdown matches the worksheet exactly:
  fabric_heat_loss = 139.4957 W/K  ✓
    walls   = 39.7652 ✓  party   = 17.0700 ✓
    roof    = 10.3438 ✓  floor   = 23.1705 ✓
    windows = 43.5962 ✓  doors   =  5.5500 ✓

Layer 2 status across the 7 cert chain tests:
  000477  GREEN (was GREEN)
  000516  GREEN (was GREEN)
  001479  GREEN (new — was +1.19 before Slice 87)
  000474  RED   -0.7524 (Elmhurst (12) non-spec — orthogonal)
  000480  RED   -1.0273 (Elmhurst (12) non-spec — orthogonal)
  000487  RED   +0.4834 (Elmhurst (12) non-spec — orthogonal)
  000490  RED   -1.1042 (Elmhurst (12) non-spec — orthogonal)

Cohort cascade pins remain GREEN (66 of 66) — hand-built fixtures
have roof_construction_type=None (default) so the new code path is
inert for them; their roofs use RR detailed_surfaces with explicit
areas already.

Pyright net-zero on every touched file (heat_transmission 13 → 13,
mapper 35 → 35, epc_property_data 0 → 0).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-25 21:00:34 +00:00
.devcontainer added env variables for boto 2026-05-12 12:34:17 +00:00
.github/workflows resolve merge conflict 2026-05-13 14:22:04 +00:00
.idea scaffolding for ml pipeline 2026-05-16 14:15:56 +00:00
.vscode added utils to allow easier subtask management 2026-03-02 15:15:39 +00:00
asset_list save 2026-05-07 15:55:44 +00:00
backend Slice 84: RED tracer-bullet diff test for cohort 000516 2026-05-25 18:12:20 +00:00
backlog implemented onboarding 2026-04-21 20:23:33 +00:00
datatypes Slice 89: PS pitched-sloping-ceiling roof area uses inclined surface 2026-05-25 21:00:34 +00:00
docs Handover: Layer-2 cohort 000474 GREEN; reframe with production end-goal first 2026-05-25 17:35:28 +00:00
epr_data_exports allowing carbon and energy otimisation by removing slack 2025-07-31 19:13:16 +01:00
etl scaffolding for ml pipeline 2026-05-16 14:15:56 +00:00
infrastructure/terraform correct tfstate bucket name 2026-05-12 13:03:04 +00:00
model_data/requirements its working the way khalim wanted wiht postcode and then search that 2026-01-22 15:17:13 +00:00
packages Slice 89: PS pitched-sloping-ceiling roof area uses inclined surface 2026-05-25 21:00:34 +00:00
recommendations save 2026-05-07 15:55:44 +00:00
scripts added type hinting to uprn 2026-05-12 09:40:12 +00:00
services P2.1: extract predict_sap_for_cert; swap probe to SAP 10.2 spec prices 2026-05-19 09:51:42 +00:00
sfr/principal_pitch added added historic epc data class with shape 2026-05-08 12:03:35 +00:00
survey_report quidos site notes extraction 2025-02-18 19:49:29 +00:00
utils changed to utils 2026-05-11 08:37:44 +00:00
.coveragerc fixed unit tests 2023-10-05 16:04:12 +01:00
.dockerignore make sure all test files are ignored when docker images are built 2026-04-23 11:29:07 +00:00
.gitignore slice 14a: ml_training_data pkg + sample.py (CSV filter + random sample) 2026-05-16 17:39:43 +00:00
__init__.py added checking for directory before creation and made some minor style changes 2023-08-25 15:21:17 +01:00
AGENTS.md added bulk address uprn route 2026-04-20 13:06:31 +00:00
ara_backend_design.md second grill session updating prd + context 2026-05-15 10:41:47 +00:00
BaseUtility.py fixed missing task and subtask for single remote assessments 2025-11-27 17:50:26 +00:00
CLAUDE.md note kwh service not needing predictions 2026-05-13 21:52:02 +00:00
conftest.py working on integrating new EPC api into address2UPRN 2026-04-27 11:32:44 +00:00
CONTEXT.md docs: ADR-0010 retargets calculator to SAP 10.2; rewrite handover 2026-05-19 09:54:24 +00:00
devcontainer.sh add dev container 2026-04-17 14:50:57 +00:00
Dockerfile.test post gres can't be ran as root 2026-03-13 15:56:13 +00:00
Dockerfile.test.dockerignore run tests 2026-03-13 15:44:16 +00:00
Makefile adding to dev container to create shared network on start up 2026-04-25 15:03:07 +00:00
MEMORY.md memory 2026-04-02 10:24:31 +00:00
package-lock.json restructuring openUrpn code 2023-07-20 11:41:43 +01:00
package.json restructuring openUrpn code 2023-07-20 11:41:43 +01:00
pyproject.toml slice 14a: ml_training_data pkg + sample.py (CSV filter + random sample) 2026-05-16 17:39:43 +00:00
pyrightconfig.json slice 14d: build_features wires bulk reader -> mapper -> EpcMlTransform 2026-05-16 18:38:41 +00:00
pytest.ini slice 14a: ml_training_data pkg + sample.py (CSV filter + random sample) 2026-05-16 17:39:43 +00:00
README.md adding to dev container to create shared network on start up 2026-04-25 15:03:07 +00:00
run_backlog.sh added bulk address uprn route 2026-04-20 13:06:31 +00:00
run_lambda_local.sh debugging local lambda run and updating the sap point checking condition 2023-09-13 18:47:12 +01:00
serverless.yml added logic to add to serverless 2026-04-22 12:39:44 +00:00
test.requirements.txt fixing missing deps for tests 2026-04-30 20:03:57 +00:00
tox.ini removing playright install for integration test 2026-04-30 20:08:13 +00:00
UBIQUITOUS_LANGUAGE.md note kwh service not needing predictions 2026-05-13 21:52:02 +00:00

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