732eef6adb
Fourth slice of the SAP10 Calculator Session A (ADR-0009). Ports the per-element conduction HLC logic out of domain.ml.envelope into a typed HeatTransmission breakdown under domain.sap.worksheet. Aggregates Σ U×A across walls, roof, floor, party walls, windows, doors, plus thermal- bridging y × total exposed area, summed across every building part. The orchestrator can now read walls_w_per_k / roof_w_per_k / floor_w_per_k etc. directly off the result for audit + monthly-loop wiring, rather than seeing a single envelope_heat_loss scalar. U-value cascade still routes through domain.ml.rdsap_uvalues (migrates to domain.sap.rdsap.cascade_defaults in Session B per ADR-0009 module-layout plan). domain.ml.envelope stays in place to keep the ML transform's physics-feature pipeline running until Session B. 6 AAA cycles cover: per-element breakdown for a baseline age-G cavity mid-terrace, window net-wall subtraction, insulated-door U-value blending, cavity-party-wall contribution per Table 15, thermal-bridging scaling by age band per Table 21, and multi-part (main + extension) aggregation. 192 tests pass across domain.sap + domain.ml — no regressions. |
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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