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Khalim Conn-Kowlessar 0320341837 Slice 94: API mapper sheltered_sides + floor_type — cert 001479 to 1e-3
Two API mapper gaps surfacing the cert 001479 +1.18 SAP gap post
Slice 93:

(1) `SapVentilation.sheltered_sides` from API `built_form`

The API schema doesn't lodge sheltered_sides as a discrete field —
it's derived per RdSAP §S5 from the dwelling's built_form. The
cascade defaults to 2 when missing (right for Mid-Terrace) but wrong
for detached/semi/end-terrace. Cert 001479 (built_form=2 Semi-
Detached) needs 1 sheltered side; default 2 over-counted shelter
factor → line (21) under by 0.185 → ventilation under by ~2 ACH/yr.

New `_api_sheltered_sides` translator + `_API_BUILT_FORM_TO_
SHELTERED_SIDES` table (1=Detached/0, 2=Semi/1, 3=End-T/1, 4=Mid-T/2,
5=Encl-End/2, 6=Encl-Mid/3) — mirrors the cohort Elmhurst
`_ELMHURST_SHELTERED_SIDES_BY_BUILT_FORM` keyed by the API integer
enum.

(2) `SapBuildingPart.floor_type` from API `floor_heat_loss`

The Slice 87 spec rule for §2(12) suspended-timber-floor infiltration
(`_has_suspended_timber_floor_per_spec` in cert_to_inputs) requires
the Main bp's lowest floor to have `floor_type == "Ground floor"` to
apply the (12)=0.2/0.1 rule. The API mapper wasn't surfacing this
string (only floor_construction_type), so the spec rule short-
circuited to False even for genuine ground floors and the cascade's
line (12) was 0.0 instead of 0.2.

New `_api_floor_type_str` translator + `_API_FLOOR_HEAT_LOSS_TO_
FLOOR_TYPE` table (1="To external air" for cantilevered exposed
floors, 7="Ground floor"). Routes correctly for cert 001479: Main +
Ext1 carry floor_heat_loss=7 → both Ground floor; Ext2 carries
floor_heat_loss=1 → exposed (its is_exposed_floor=True already lifts
the floor U cascade to Table 20).

**Result on cert 001479 API path:**
  SAP delta: +1.18 → +0.0006 (essentially exact match at integer SAP)
  Cascade SAP=69.0100 vs worksheet 69.0094 — within 1e-3 of target.

The remaining ~0.001 SAP gap is dominated by:
  - hot_water_kwh_per_yr: +6.7 (API 2365.0 vs target 2358.3)
  - internal_gains Σ: +25.7 W·months (subtle gain-cascade differences)
  - solar_gains Σ: +1.5 W·months
Sub-1e-3 SAP impact each; would need slice-by-slice diagnosis to
close to the strict 1e-4 bar.

Layer 3 API-mapper-vs-Summary-mapper EpcPropertyData equivalence:
the API path now produces SAP within 0.001 of the Summary path
(Summary Layer 2 = 69.0094 EXACT). API integer SAP = 69 = worksheet
integer SAP = 69 ✓ — matches the API's published energy_rating_
current=69 (zero residual on the production goal metric).

Golden cert residuals: 8 of 10 expectations shifted by Slices 90-94
cascade improvements. Spec-compliance shifts; new residuals pinned.

Pyright: mapper.py 33 → 33.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-26 08:27:10 +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 94: API mapper sheltered_sides + floor_type — cert 001479 to 1e-3 2026-05-26 08:27:10 +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 94: API mapper sheltered_sides + floor_type — cert 001479 to 1e-3 2026-05-26 08:27:10 +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