74b2c1131f
Populates §4 LINE_42..LINE_65 + per-fixture HW inputs (HAS_BATH, MIXER_SHOWER_FLOW_RATES_L_PER_MIN, COLD_WATER_TEMPS_C, LOW_WATER_USE, COMBI_LOSS_OVERRIDE, ELECTRIC_SHOWER_OVERRIDE) in 000477, 000480, 000487, 000516 — values extracted from the Elmhurst U985 worksheets supplied 2026-05-20. 000474 + 000490 get the same input constants for uniform parametrization. Adds electric_shower_monthly_kwh_override to water_heating_from_cert to unlock 000487 (instantaneous electric shower, no mixer). The orchestrator's has_shower flag now also accounts for the electric path. Extends 6 parametrized §4 tests from (000474, 000490) to ALL_FIXTURES and adds a new ALL_FIXTURES-parametrized e2e test exercising the orchestrator end-to-end through (42)..(65) for every Elmhurst fixture. Tolerance on (43)/(44) loosened to 5e-3 to absorb Elmhurst's 4-d.p. display rounding. Result: 150/150 tests pass; §1-§4 conform at ≤1e-2 kWh / 5e-3 L for every fixture. Deferred branches surfaced via overrides: - PCDB Table 3b combi loss (000474, 000477, 000516) - Non-time-clock Table 3a combi loss rows (000480, 000487) - Electric-shower (64a)m derivation from cert codes (000487) 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