7901dda455
Adds three Elmhurst EES (Energy Efficiency Standard) codes to `_ELMHURST_MAIN_HEATING_EES_TO_FUEL_CODE` so the mapper can derive the main heating fuel for electric storage / direct-acting certs whose Elmhurst Summary §14.0 does not lodge a "Main Heating Fuel Type" string (same pattern as the solid-fuel block above): "WEA": 30, # electric warm-air storage "REA": 30, # resistive electric (corpus electric 12 SAP 691) "OEA": 30, # other electric (corpus electric 13/14 SAP 701) All route to Table 32 standard-electricity code 30; the cascade resolves the actual price tier (high vs low rate) downstream via `_rdsap_tariff(epc)` keyed off `meter_type`. The corpus carries 4 electric-storage variants on the 18-hour tariff: electric 11 — WEA + SAP 515 (warm-air electric) electric 12 — REA + SAP 691 electric 13 — OEA + SAP 701 electric 14 — OEA + SAP 701 (differs from 13 by emitter / controls) Pre-slice all 4 raised `MissingMainFuelType` per S0380.132. Post-slice all 4 EXACT on first try across all 4 metrics: electric 11: ΔSAP_c +0.0000 Δcost +£0.0000 ΔCO2 −0.0000 ΔPE −0.0000 electric 12: ΔSAP_c +0.0000 Δcost +£0.0000 ΔCO2 −0.0000 ΔPE −0.0000 electric 13: ΔSAP_c +0.0000 Δcost −£0.0000 ΔCO2 +0.0000 ΔPE −0.0000 electric 14: ΔSAP_c +0.0000 Δcost −£0.0000 ΔCO2 +0.0000 ΔPE −0.0000 Closure on first try because the cascade was already wired for the electric-storage path (SAP 10.2 Table 4a codes 515 / 691 / 701, Table 4e Group 4 storage controls, Table 5a pump-gain wet-gate from S0380.160, S0380.144 secondary-fraction by sub-row); only the Elmhurst EES → fuel mapping was missing. Moves electric 11/12/13/14 out of `_BLOCKED_BY_MISSING_MAIN_FUEL_TYPE` into `_EXPECTATIONS` at ±0.0000. Blocked tier now: 11 variants (community heating × 5, no system, oil 2-6). Tests: - test_elmhurst_main_heating_ees_maps_electric_storage_codes_to_electricity - corpus pins: electric 11/12/13/14 expected residuals = ±0.0000 Cascade-OK tier: 30 variants (up from 25), all SAP / cost / CO2 / PE EXACT (< 1e-4) vs Elmhurst worksheet on every metric. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> |
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| .github/workflows | ||
| .idea | ||
| .vscode | ||
| applications | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| deployment/terraform | ||
| docs | ||
| 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