175873b48b
`heat_transmission_from_cert` hardcoded all window + door area to the first sap_building_part (Main) via the `if i == 0` branch. That's heat-loss-invariant for cohort certs whose per-bp wall U is uniform (cohort 6 all share wall_construction + wall_insulation_type across bps) but wrong for cert 001479 where Ext1's wall U=0.26 (filled cavity, age M) differs sharply from Main's U=0.70 (uninsulated cavity, age C). Worksheet §3: External walls Main 47.13 net × 0.70 = 32.99 (29a) External walls Ext1 10.17 net × 0.26 = 2.64 (29a) External walls Ext2 5.90 × 0.70 = 4.13 (29a) Σ walls 39.77 Pre-slice the cascade attributed all 9 windows to Main, leaving Ext1's 6.37 m² window NOT deducted from Ext1's wall — Ext1 wall area inflated to 16.54 (gross) instead of 10.17 (net), then multiplied by the lower U=0.26 → cascade understated walls_w_per_k by ~2.8 W/K. Add `_window_bp_index` mapping `SapWindow.window_location` (int from API mapper, "Main"/"Nth Extension" string from Elmhurst) to a sap_building_parts index. Pre-compute per-bp window areas and use that in the loop's `net_wall_area` calculation. Backwards-compat preserved for direct callers passing `window_total_area_m2` kwarg with an empty `epc.sap_windows` (legacy single-bp test path): the kwarg total still apportions to Main. Cohort hand-built fixtures default `window_location=0` so all windows route to Main — same as the old i==0 logic for those tests. Cascade behaviour changes for 3 golden certs with non-Main windows (all 3 in the right direction — residuals tighten toward zero): 6035-7729: SAP -5 → -4, PE +36.15 → +34.02, CO2 +0.81 → +0.76 7536-3827: SAP +4 (same), PE -27.17 → -24.73, CO2 -0.72 → -0.66 8135-1728: SAP +1 (same), PE -16.98 → -16.51, CO2 -0.30 → -0.29 Pins tightened; notes annotated with slice attribution. Cert 001479 chain pin closes from delta 1.63 → 1.37 (cascade SAP 70.64 → 70.38, target 69.0094) — remaining ~4.4 W/K HLC gap lives in floor U defaults (Ext1 insulated "As Built") and Ext2 roof area derivation. 70 of 71 chain+golden+heat-transmission tests green; only the cert 001479 chain pin remains RED (load-bearing forcing function). Pyright net-zero (13-error baseline on heat_transmission.py preserved). 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