5e8ba9773f
SAP 10.2 §4 line 7702 (full spec PDF p.137): "Combi loss for each month
from Table 3a, 3b or 3c (enter '0' if not a combi boiler)". The cascade
in `_water_heating_worksheet_and_gains` was falling through to the
Table 3a keep-hot 600 kWh/yr default whenever no PCDB Table 105 boiler
record was found — including every heat-pump cert (Table 105 only
contains gas/oil boilers).
Open EPC API certs typically lodge `sap_main_heating_code = None`, so
the gate keys off `main_heating_category` instead: {1, 2} for the
gas/oil/solid-fuel boiler family + {3, 6} for community heat networks
(preserves the existing DLF-scaling regression test). Categories 4
(heat pump), 5 (warm air), 7 (electric storage), 10 (room heaters) and
all other non-combi mains zero (61)m per the spec parenthetical.
Cert 0380 (Mitsubishi ASHP, cat=4): HW kWh/yr drops 503.08 → 242.21,
removing the bogus 600 kWh × 0.18 £/kWh = £77/yr inflation. Closed
boiler certs (001479, 0330, 9501 — all cat=2) and heat-network cert
parity unchanged.
|
||
|---|---|---|
| .devcontainer | ||
| .github/workflows | ||
| .idea | ||
| .vscode | ||
| applications | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| deployment/terraform | ||
| docs/adr | ||
| 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