f863598d39
Closes 23 of 24 mapper-vs-hand-built load-bearing divergences by populating fields the Elmhurst mapper extracts from Summary_000516. pdf but the original hand-built left at their `make_minimal_sap10_ epc` / dataclass-default values. Every change is cascade-equivalent — all 11 `_FIXTURE_PINS["000516"]` SapResult pins remain GREEN against worksheet `SAP value 62.7937`. 000516-specific deltas: - `wall_thickness_measured=True` on Main (Summary lodges 400 mm). - `floor_type="Above unheated space"` (exposed timber floor, not Ground floor) — matches the cert's `is_exposed_floor=True` for the lowest Main floor. - `roof_insulation_location="None"` — the Summary lodges the literal string "None" for an uninsulated roof; mapper surfaces it verbatim. Standard Cat A additions (per Slice 72/75/78/82 pattern): floor descriptive fields, 6 ventilation zero counts, draught_lobby=True, pressure_test="Not available", top-level descriptive strings + booleans, `number_of_storeys=3` (Main ground + first + RIR), shower_outlets="Non-electric shower", central_heating_pump_age_str="Unknown". Diff count: 24 → **1**. Remaining diff is `sap_windows: LEN 5 vs 2` — closes via Slice 86. Pyright net-zero on the touched 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