2d3355ee48
Closes the final `sap_windows: LEN 5 vs 2` divergence by replacing the cohort 000516 hand-built's 2-window collapsed encoding with 5 SapWindow entries mirroring the Summary §11 1:1. Single-bp dwelling; single glazing-type group (PVC double / g⊥=0.76 / U=2.8); per- orientation totals preserved: NE (orient=2): 3.88 m² split 2.15 + 1.73 (2 rows) SW (orient=6): 4.43 m² split 1.94 + 1.67 + 0.82 (3 rows) Mapper interleaves NE/SW rows; hand-built mirrors that order so list-position diffs are zero. Cascade output unchanged: all 11 `_FIXTURE_PINS["000516"]` SapResult pins remain GREEN at 1e-4 against worksheet `SAP value 62.7937`. **Cohort 000516 is now fully Layer-2 GREEN.** **All 6 cohort certs (000474, 000477, 000480, 000487, 000490, 000516) are now Layer-2 zero-diff** — the mapper produces a load-bearing- field-equivalent EpcPropertyData for every cohort cert. This clears the way for closing cert 001479 (the load-bearing API↔Elmhurst parity-test fixture; Slice 62 skeleton at 2/11 cascade pins green, gap −3.02 SAP) and then adding the API mapper diff test (Layer 3) and the production acceptance test (Layer 4 — ±0.5 of published SAP 69 for cert 0535-9020-6509-0821-6222). Full sweep: 107 passed (was 105 pre-Slice-84; +2 new diff tests for 000490 + 000516), 10 failed (same 10 001479-related). Pyright net- zero on every touched fixture across Slices 71–86. 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