256a5afee5
The full Summary→ElmhurstSiteNotes→EpcPropertyData→cascade→SAP chain now produces unrounded SAP 62.52 for cert U985-0001-000474 vs the worksheet PDF's 62.2584 — inside the 0.5 tolerance the user accepts on the API-cert residual cohort. The hand-built worksheet-fixture chain matches Elmhurst's unrounded SAP to 4 d.p. (62.2584), so the calculator+cascade are provably equivalent to Elmhurst's calculator; this slice closes the mapper side of the chain.
Mapper changes drop the string-versus-int impedance mismatch that prevented the cascade from consuming Elmhurst-coded values:
- construction_age_band: `_strip_code('B 1900-1929')` → 'B' (was '1900-1929')
- wall_construction: `_elmhurst_wall_construction_int('CA Cavity')` → 4 (was string 'Cavity')
- wall_insulation_type: `'A As Built'` → 4 (was string 'As Built')
- party_wall_construction: same int-mapping treatment
- main_fuel_type: `_elmhurst_main_fuel_int('Mains gas')` → 26 (the Table 12 fuel code; was string)
- heat_emitter_type: `'Radiators'` → 1 (was string)
- main_heating_control: `_elmhurst_sap_control_code('SAP code 2106, ...')` → 2106 (the SAP code int; was the trailing description)
- main_heating_index_number: parsed leading int from `pcdf_boiler_reference` ('16839 Vaillant…' → 16839) + `main_heating_data_source=1` so the PCDB cascade fires
- window orientation: `_elmhurst_orientation_int('North-West')` → 8 (the SAP10 octant; was string — solar gains were dropping to 0 W/m² as a result)
Floor handling also re-aligned with the SAP convention: floors sorted with the lowest as floor=0 (Elmhurst lodges 1st-floor entries first in the PDF); zero-area entries filtered out (single-storey extensions); non-ground room heights get the +0.25 m joist-void adjustment; `is_exposed_floor=True` for ground floors lodged above unheated space ('U Above unheated space'). `total_floor_area_m2` now sums across main + extensions.
Three regression pins on the new path:
- sap_building_parts == 3 (multi-bp)
- sap_windows == 7 (layout-style window parser)
- unrounded SAP within 0.5 of 62.2584 (worksheet PDF line 257)
Existing end-to-end test assertions updated to reflect the spec-correct int codes.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
|
||
|---|---|---|
| .devcontainer | ||
| .github/workflows | ||
| .idea | ||
| .vscode | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| docs | ||
| epr_data_exports | ||
| etl | ||
| infrastructure/terraform | ||
| model_data/requirements | ||
| packages | ||
| recommendations | ||
| scripts | ||
| services | ||
| sfr/principal_pitch | ||
| survey_report | ||
| utils | ||
| .coveragerc | ||
| .dockerignore | ||
| .gitignore | ||
| __init__.py | ||
| AGENTS.md | ||
| 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_backlog.sh | ||
| 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