e75198ce5d
The PE cascade was crediting the PV split at annual Table 12 factors (IMPORT 1.501 / EXPORT 0.501) instead of the spec-correct effective monthly Table 12e factors. Per Appendix M1 §8 (p.94): "For calculation of primary energy, for electricity used within the dwelling apply the normal import PE factors for the relevant tariff from Table 12e. For the electricity exported, apply the factors for 'electricity sold to grid, PV', also from table 12e." Cert 0380 worksheet (page 5) lodges 1.4960 / 0.4268 — the effective monthly values weighted by E_PV,dw,m / E_PV,ex,m. The cascade now computes the same via `_effective_monthly_pe_factor` (the helper already in place for secondary heating, pumps+fans, lighting, electric showers). Two new Optional fields on `CalculatorInputs`: - `pv_dwelling_primary_factor` — falls back to `other_primary_factor` - `pv_exported_primary_factor` — falls back to `pv_export_primary_factor` Both populated in `cert_to_inputs.py` via `_effective_monthly_pe_ factor(pv_split.epv_*_monthly_kwh, fuel_code)` — code 30 (standard electricity) for dwelling, code 60 (electricity sold to grid, PV) for exported. Mirrors the existing CO2 cascade shape exactly. Cohort PE residual closure (kWh/m²): | Cert | Post-S0380.48 | Post-S0380.49 | |---|---:|---:| | 0350 | -3.58 | **-2.96** | | 0380 | -4.01 | **-3.06** | | 2225 | -4.50 | **-3.73** | | 2636 | -4.14 | **-3.44** | | 3800 | -4.01 | **-3.25** | | 9285 | -3.46 | **-2.81** | | 9418 | -3.76 | **-3.01** | | 2130 (PV gas) | -9.70 | **-8.22** | 7-cert ASHP+battery cluster closed by 0.6-0.8 kWh/m² each (matches the +0.074 differential between annual 0.501 and worksheet 0.4268 applied to E_PV,ex ≈ 640 kWh/yr / TFA 60.43 = 0.78 kWh/m²). The remaining -3 kWh/m² residual is β fine-tuning (cascade 0.751 vs worksheet 0.7426 — small monthly D_PV distribution detail). Cert 9501 (PV no battery) drifted +0.25 → +0.65 PE — known shape change from the factor correction; β=0.498 matches worksheet exactly so the drift uncovers a different small gap previously masked by the wrong factors. Still well within tolerance. CO2 + SAP unchanged. Pyright net-zero on touched files (34 errors before, 34 after — all pre-existing). |
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|---|---|---|
| .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