380b6781e8
Path (i) — cert_to_inputs precompute. cert_to_inputs calls space_heating_fuel_monthly_kwh from local SpaceHeatingResult + Table 11 secondary fraction + per-system efficiencies; stashes the EnergyRequirementsResult on new `CalculatorInputs.energy_requirements` composite slot (default = _ZERO_ENERGY_REQUIREMENTS_RESULT).
_solve_month stops doing q/η inline — reads precomputed (211)m / (215)m fuel tuples directly via `inputs.energy_requirements.{main_1,secondary}_fuel_monthly_kwh[m-1]`. Existing `CalculatorInputs.main_heating_efficiency` / `.secondary_heating_efficiency` / `.secondary_heating_fraction` stay on the dataclass as inputs to the orchestrator (now redundant for the calculator's read path; kept for audit + backwards compat).
SapResult gains flat `main_2_heating_fuel_kwh_per_yr` and `space_cooling_fuel_kwh_per_yr` scalars — both zero in scope A, populated by future two-main + Table 10c SEER slices.
Round-trip test pins `inputs.energy_requirements.main_1_fuel_kwh_per_yr == result.main_heating_fuel_kwh_per_yr` to float equality (no rounding from the cert→inputs hop) and asserts scope-A scalars stay zero. PDF-derived ALL_FIXTURES pinning (Q5(α) grilling decision) blocked on PCDB integration — flagged in PCDB gap-list entry.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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| .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