846a3238b3
SapRoomInRoof.detailed_surfaces (+ the gable/common-wall scalars) had no columns, so 107 corpus certs lost their whole §3.9/§3.10 room-in-roof geometry on the DB round-trip and fell back to the Simplified all-elements age-band default — worst case -15.21 SAP (#1665 / #1664). Add EpcRoomInRoofModel (0..1 per building part, unique FK) + EpcRoomInRoofSurface Model (0..n, surface_index order). Save nests via RETURNING (building part -> RIR -> surfaces); delete clears bottom-up (surfaces -> room_in_roof -> parts) since the FE FKs are ON DELETE no action; both read paths group + reconstruct in a new _to_room_in_roof / _to_rir_surface, replacing the two-field flat rebuild in _to_building_part. The flat room_in_roof_* columns on epc_building_part are superseded and dropped in a follow-up (#1664). Nullable is preserved on insulation_thickness_mm / u_value (null vs 0 is the Table 17-vs-18 branch); area is unconstrained (a §3.9.2 absent-gable adjustment is signed). Drop the 8 _UNPERSISTED_ALLOWLIST entries. Verified: worst RIR cert 10012119141 round-trip -15.21 -> 0.0000 with detailed_surfaces at deep equality. Companion FE migration: assessment-model#443 (epc_room_in_roof + epc_room_in_roof_surface). Deploy gate. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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| .claude/skills | ||
| .devcontainer | ||
| .github/workflows | ||
| .idea | ||
| .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 | ||
| 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 | ||
| 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