Task a40e71c4-fd56-4a33-8677-e8643e6a5bb4 (portfolio 824, scenario 1278)
failed 2 of 29 properties with "Unsupported EPC schema: 'SAP-Schema-15.0'"
(property_id 748445/748451). Traced to two real 2011 lodgements
(schema_version "LIG-15.0", assessment_type "RdSAP") for UPRNs
100010359769/100010359788 — structurally the same reduced-field RdSAP-17.1
shape as the already-handled SAP-Schema-16.x family, one revision older.
from_sap_schema_15_0 reuses _normalize_sap_schema_16_x and adds three
schema-wide defaults this older generation never lodges at all (confirmed
absent on both real certs, not just sparse on one):
- door_count=1 (single external door, standard RdSAP assumption)
- instantaneous_wwhrs=0/0/0 and has_fghrs="N" (predates WWHRS/FGHRS
lodging — absence-means-none-fitted, same convention used elsewhere)
- percent_draughtproofed=0 (mirrors the existing has_draught_lobby
"assume none if unknown" convention in cert_to_inputs.py)
- energy_rating_average=60 (inert metadata, never read by the calculator)
Both real certs now map and run end-to-end through the SAP-10 engine,
matching (or within 1 point of) their lodged SAP score.
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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