6baf66cdde
Closes 4 of 5 remaining cohort 000474 diffs (5 → 1): **Mapper:** Add "U" → 0 to `_ELMHURST_PARTY_WALL_CODE_TO_SAP10`. The modal cohort lodgement Summary §7 "Party Wall Type: U Unable to determine" was previously falling through to None; the cohort hand- built convention uses 0 as the explicit "unknown" sentinel. The cascade resolves both 0 and None to the same `u_party_wall` default (0.25), so cascade output is unchanged. Closes 3 diffs (one per bp). **Hand-built:** Set `central_heating_pump_age_str="Unknown"` on cohort 000474 Main heating detail (post-construction since the helper doesn't expose the kwarg). Matches the Elmhurst mapper's surfaced value from Summary §14 "Heat pump age: Unknown" — the str dual- encoding internal_gains.py reads. Closes 1 diff. All 66 cohort cascade pins remain GREEN at 1e-4. Pyright 35-error baseline preserved on mapper.py; 0 errors on the hand-built file. Remaining 1 diff on cohort 000474: - `sap_windows: LEN 7 vs 5` — the cohort hand-built collapsed §11 by glazing-type × orientation × bp group (preserving total area, cascade-equivalent but not field-equal); the mapper extracts 1:1 with the worksheet's 7 §11 table rows. Next slice will expand the hand-built to 7 individual SapWindow entries matching the mapper. 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