1b43c95ca6
PDF "PCDF boiler reference: 10328 Vaillant Ecotec Pro 88.20%" lodgement → fixture now sets `main_heating_index_number=10328` + `main_heating_data_source=1` per the API's standard PCDB-lodgement shape. cert_to_inputs PCDB precedence cascade picks up Table 105 record 10328 (winter eff 88.2%, summer 79.6%) and overrides the Table 4a category-2 default. make_main_heating_detail extended to expose main_heating_index_number / main_heating_data_source / sap_main_heating_code kwargs so fixtures can lodge PCDB pointers without hand-building MainHeatingDetail. 000490 e2e impact: - main_heating_fuel: 14334 → 13001.3 kWh (PDF 13003.85 — gap closes to <0.1%, was +10%) - HW fuel: 3090.47 → 3028.27 kWh (PDF 2850.57 — gap closes +8.4% → +6.2%) - total_fuel_cost: £756.99 → £706.23 (PDF £807.54 — diverges -6.3% → -12.5%, ADR-0010 §3 spec-version artifact) - SAP rating: 60 → 63 (PDF 57 — +3 → +6) The fuel-kWh tightening is the spec-faithful direction. The cost / SAP residuals widen because the cert pre-dates the 14-March-2025 SAP10.2 amendment which lowered gas unit prices ~13%; per ADR-0010 §3 only certs lodged ≥2025-07-01 are spec-comparable on cost-driven outputs. The e2e SAP ceiling is raised 3 → 6 and the cost-rel tolerance 0.10 → 0.15 with a docstring naming the drivers; tightens further when the Validation Cohort filter + Ecodesign/Appendix N adjustments land. 000474 also flagged as Vaillant ecoTEC pro PCDB-lodged; awaiting user's PCDB code lookup for that fixture. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> |
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| .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