Contains projects associated to the development of modeling products
Find a file
Khalim Conn-Kowlessar 4cfec00f22 Slice S0380.17: map Elmhurst §11 glazing-type labels to SAP10 codes
Closes a systematic +0.02..+0.07 SAP over-prediction on every triple-
glazed cert in cohort 2 (13 of 38) and removes a silent-default
failure mode flagged via cert 3336-2825-9400-0512-8292 (+0.0674 Δ).

Root cause: `_map_elmhurst_window` (datatypes/epc/domain/mapper.py)
was passing the Elmhurst-lodged glazing-type string verbatim into
`SapWindow.glazing_type` (declared `Union[int, str]`). The §5 (66)..
(67) daylight-factor cascade at
`domain/sap10_calculator/worksheet/internal_gains.py:512` requires
`isinstance(w.glazing_type, int)` to look up Table 6b col light g_L —
string lodgings silently fell through to the `_G_LIGHT_DEFAULT = 0.80`
(double-glazed) branch. Cert 3336 (Triple glazed, worksheet "Window,
Triple glazed") got g_L = 0.80 instead of the correct 0.70, inflating
C_daylight from 1.072 to 1.041 → lighting kWh under-predicted by
−4.53 kWh/yr → total fuel cost under by −1.17 GBP → ECF Δ −0.0049 →
SAP continuous over by +0.0674.

Fix: `_ELMHURST_GLAZING_LABEL_TO_SAP10` dict + `_elmhurst_glazing_
type_code` helper translate the Elmhurst Summary §11 lodged strings
to the SAP 10.2 Table U2 integer codes the cascade keys on:

  "Single"                                          → 1
  "Double pre 2002"                                 → 2
  "Double between 2002 and 2021"                    → 3
  "Double with unknown install date"                → 3
  "Double with unknown 16 mm or install date more"  → 3
  "Double post or during 2022"                      → 5
  "Triple post or during 2022"                      → 6
  "Triple post or during"                           → 6  (year-trunc.)
  "Secondary"                                       → 7

Two regex passes strip the layout noise the extractor sometimes folds
into the glazing-type token: a `(?:Part )?value value Proofed Shutters`
prefix (from adjacent column headers) and a ` Summary Information` /
` Alternative wall…` suffix. Verified against the union of cohort-1
(7 certs) + cohort-2 (38 certs) + test-fixture (9 PDFs) glazing
labels: 18 distinct surface forms, all closed by the dict + noise
patterns; one window in cert 2636's Summary_000898.pdf lodged the
year-truncated "Triple post or during" — added as an alias for code 6
per worksheet "Triple glazed" lodging.

Strict-enum gate: `_elmhurst_glazing_type_code` raises
`UnmappedElmhurstLabel("glazing_type", label)` (Slice S0380.15
pattern, extended to the new helper) when the label is None or not
in the dict — surfaces mapper-coverage gaps at extraction time rather
than masking them as a SAP precision floor.

Cohort-2 Summary-path delta progression (38 certs):
  bucket          before slice 2    after slice 2
  exact (<1e-4)   11                11
  <0.005          0                 5     ← 9421 +0.0012, 2536 +0.0016, 9370 +0.0017, 0100 +0.0028, 2800 +0.0044
  0.005-0.07      15                10    ← all triple-glazed
  0.07-0.5        5                 5
  0.5-1           4                 4
  1-5             1                 1
  5+              2                 2
  RAISES          0                 0

3336 (user's flag) closes from +0.0674 → +0.0400 — the residual is
the remaining systematic offset the next slice will investigate.

Tests added (3):
- `test_summary_3336_triple_glazed_windows_route_to_code_6` — pins
  the mapper output for the user's flagged cert.
- `test_summary_000474_double_glazed_windows_route_to_code_3` —
  exercises the DG branch + the year-unknown alias mapping.
- `test_summary_mapper_raises_on_unmapped_glazing_type_label` —
  strict-enum coverage gate via mutated site notes.

Tests updated (1):
- `test_first_window_glazing_type` (test_elmhurst_end_to_end.py):
  asserts int code 5 (DG low-E argon — "Double post or during 2022")
  not the string verbatim. The string-passthrough behaviour was
  always a latent bug; this test was the only direct pin on it.

Pyright net-zero per file:
  - datatypes/epc/domain/mapper.py: 32 (baseline 32)
  - backend/documents_parser/tests/test_summary_pdf_mapper_chain.py: 0
  - backend/documents_parser/tests/test_elmhurst_end_to_end.py: 0

Regression baseline: 694 pass + 10 fail (= prior 691 + 10 + 3 new).
Triple-glazed original-cohort certs are now closer to worksheet too;
the ±0.07 chain tests on the original cohort still hold, and a future
slice tightens them once the next-largest residual is closed.

Spec refs:
- SAP 10.2 Table U2 — glazing-type integer enum.
- SAP 10.2 Table 6b col light — light-transmission g_L by glazing
  type (triple 0.70, double-glazed variants 0.80, single 0.90).
- RdSAP 10 §11 Windows — Summary lodging of glazing type as a
  type+install-date phrase.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-01 16:28:46 +00:00
.devcontainer pr review, move domain and orhcestration 2026-06-01 14:00:31 +00:00
.github/workflows added landlord description overrides 2026-05-29 12:12:54 +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
applications move landlord overrides 2026-06-01 15:46:46 +00:00
asset_list Remove EPC and asset_list changes unrelated to SAL handler 2026-05-22 15:36:46 +00:00
backend Slice S0380.17: map Elmhurst §11 glazing-type labels to SAP10 codes 2026-06-01 16:28:46 +00:00
backlog implemented onboarding 2026-04-21 20:23:33 +00:00
datatypes Slice S0380.17: map Elmhurst §11 glazing-type labels to SAP10 codes 2026-06-01 16:28:46 +00:00
deployment/terraform added landlord description overrides 2026-05-29 12:12:54 +00:00
docs/adr move landlord overrides 2026-06-01 15:46:46 +00:00
domain Slice S0380.16: add 'Normal' → cylinder_size=2 (110 L) for cohort 2 2026-06-01 16:28:46 +00:00
epr_data_exports allowing carbon and energy otimisation by removing slack 2025-07-31 19:13:16 +01:00
etl added batch description and nonfunded measures 2026-05-27 10:30:19 +00:00
infrastructure move landlord overrides 2026-06-01 15:46:46 +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
orchestration moved classifier data transformation to an easy one 2026-06-01 14:53:34 +00:00
recommendations save 2026-05-07 15:55:44 +00:00
repositories move landlord overrides 2026-06-01 15:46:46 +00:00
scripts add address list 2026-05-21 15:30:03 +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
tests move landlord overrides 2026-06-01 15:46:46 +00:00
utilities get rid of comments 2026-05-20 13:21:11 +00:00
utils rename files in sharepoint to desired structure 2026-05-20 16:26:07 +00:00
.coveragerc fixed unit tests 2023-10-05 16:04:12 +01:00
.dockerignore deployment from infrastructure 2026-05-19 12:55:30 +00:00
.gitignore fixed merge conflicts from main 2026-05-26 11:21:09 +00:00
__init__.py added checking for directory before creation and made some minor style changes 2023-08-25 15:21:17 +01:00
ara_backend_design.md refactor: lift-and-shift packages/domain/src/domain/ml → domain/sap10_ml 2026-05-26 13:01:35 +00:00
BaseUtility.py fixed missing task and subtask for single remote assessments 2025-11-27 17:50:26 +00:00
CLAUDE.md fixed merge conflicts from main 2026-05-26 11:21:09 +00:00
conftest.py working on integrating new EPC api into address2UPRN 2026-04-27 11:32:44 +00:00
CONTEXT.md refactor: lift-and-shift packages/domain/src/domain/ml → domain/sap10_ml 2026-05-26 13:01:35 +00:00
devcontainer.sh add dev container 2026-04-17 14:50:57 +00:00
Dockerfile.test fix: address 22 project-wide test failures from previous sweep 2026-05-26 13:34:51 +00:00
Dockerfile.test.dockerignore deployment from infrastructure 2026-05-19 12:55:30 +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 refactor: lift-and-shift packages/domain/src/domain/ml → domain/sap10_ml 2026-05-26 13:01:35 +00:00
README.md adding to dev container to create shared network on start up 2026-04-25 15:03:07 +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 tests wrong environemnt 2026-05-29 16:17:06 +00:00
tox.ini removing playright install for integration test 2026-04-30 20:08:13 +00:00
UBIQUITOUS_LANGUAGE.md postcode_splitter: pure domain (UserAddress, sanitise_postcode, postcode_batching) 2026-05-19 16:45:47 +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