a0d9d09410
Update NEXT_AGENT_PROMPT.md with current branch state for cert 001479 work. Slices 54-57 closed Elmhurst-side mapper gaps surfaced by the cross-mapper diff against the new GOV.UK API counterpart: 54: extensions_count from len(survey.extensions) 55: party-wall code "CU" → cavity unfilled U=0.5 56: floor "E To external air" → u_exposed_floor (Table 20) 57: PS sloping-ceiling + As Built + pre-1950 → thickness=0 → U=2.30 Per-bp fabric U-values all match worksheet exactly now. Cascade SAP went 63.17 → 61.39 (gap widened to +7.62) as each fix exposed previously-masked over-counting elsewhere; per-data-correct moves. Remaining ~15 W/K HLC gap (HLP cascade 2.235 vs worksheet 3.127) lives in non-fabric: living_area_fraction TFA convention, internal gains, secondary heating SAP-code wiring, possibly thermal bridging and ventilation HLC. Documents one source-data caveat: Summary §3 says Ext1 age "M 2023 onwards", worksheet header says "Ext1: L" — assessor inconsistency; trust Summary per session policy. 758 cohort tests + cert-001479 structural pins green; pyright net-zero on touched files. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> |
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| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| docs | ||
| epr_data_exports | ||
| etl | ||
| infrastructure/terraform | ||
| model_data/requirements | ||
| packages | ||
| recommendations | ||
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| 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