72ef0f0e7b
When a heat-pump cert lodges a PCDB Table 362 record, the APM override set BOTH the space efficiency (N3.6) and the water efficiency (N3.7a) from the heat pump unconditionally. But the PCDB η_water applies only when the DHW is heated BY the heat pump (water-heating code "from main": 901/902/914). A separate electric immersion (WHC 903) heats the water at 100% regardless of the space system, so applying the HP's water SCOP (187.5% × 0.6 in-use = 112.5%) under-counted the immersion's hot-water fuel. Gate the η_water override on the DHW-from-main codes; a separate immersion keeps its own 100% efficiency. Space η_space still always uses the APM value (the heat pump is the space main). Worksheet-validated to 1e-4 on simulated case 45 (HP space + WHC-903 immersion): water fuel (62) 1893.57 -> 2130.2639, total cost (255) 619.7433, CO2 692.13 — all matching the P960 exactly; SAP 60.53 -> rounds to the worksheet's 61. RdSAP-21.0.1 corpus unchanged (no HP+WHC903 certs in it). Pinned in test_cert_to_inputs (immersion fuel is main-independent). Co-Authored-By: Claude Opus 4.8 (1M context) <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 | ||
| harness | ||
| infrastructure | ||
| model_data/requirements | ||
| orchestration | ||
| recommendations | ||
| repositories | ||
| sap worksheets | ||
| 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 | ||
| next_claude_prompt.txt | ||
| 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