4f9bec7a4a
Task b9fcd354-2a33-4fc4-a64e-388c060a055c (portfolio 824 / scenario 1278) also failed property_id 749229 (UPRN 100010349400) with "RdSapSchema17_1: missing required field 'has_hot_water_cylinder'". Cert 9568-3034-6211-6089-5960 (SAP-Schema-15.0) lodges `sap_heating.cylinder_size` but omits the separate top-level `has_hot_water_cylinder` boolean RdSapSchema17_1 also requires. Unlike `multiple_glazed_proportion` (deliberately left un-defaulted a few lines above — a prior guessed default regressed the accuracy gate), `cylinder_size` isn't a proxy needing inference: RdSAP 10 Table 28 defines code 1 as "no cylinder" — literally the same fact `has_hot_water_cylinder` encodes. Confirmed 1:1 across every real 15.0/16.x fixture that lodges both fields (cylinder_size == 1 <-> false, every other code <-> true). Added to the shared `_normalize_sap_schema_16_x`, so it covers the whole 15.0/16.0/16.1/16.2/16.3 reduced-field family, not just 15.0. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> |
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| .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 | ||
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| 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 | ||
| modelling_audit.md | ||
| next_claude_prompt.txt | ||
| P960-0001-001431-2.pdf | ||
| package-lock.json | ||
| package.json | ||
| playground.py.local-backup | ||
| pyproject.toml | ||
| pyrightconfig.json | ||
| pytest.ini | ||
| README.md | ||
| run_lambda_local.sh | ||
| serverless.yml | ||
| Summary_001431-3.pdf | ||
| 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