bd84a2f190
Clears the three non-table-add blocks tracked in #1639 plus a latent age-band bug they surfaced. LRHA WAVE 3 cohort: 77 → 103 of 104 computing. Block A (exact cylinder volume): a measured cylinder lodges its litres on a separate "Exact cylinder volume:" line; parse it in the extractor, carry it on WaterHeating.cylinder_volume_measured_l, route the "Exact cylinder volume" band to SAP cylinder-size code 6, and thread the litres into SapHeating (the calculator reads them only when the code is 6). Verified end-to-end on the real 166 L fixture. Block B (Controls line-wrap): PasHub wraps a long "Controls:" value across two PDF lines and _get_in read only the first, truncating the label so the mapper missed its Table 4e code. Re-join the continuation when the value ends on a conjunction/comma (grammatically incomplete) so "…room thermostat and TRVs" matches the existing code 2314. Scoped to Controls: — the shared _get_in is unchanged; a wider truncation audit is tracked separately. Age-band normalisation: the heat_network_age_band '2007 - 2011' block was one facet of a broader bug — PasHub lodges the construction age band in mixed templates ("K: …" prefixed, tight "1991-1995", space-padded "2007 - 2011") and only the letter form was normalised, so bare year ranges were SILENTLY MIS-RATED by the age-band-keyed U-value/DLF cascades. Normalise every template to its RdSAP letter in _extract_age_band: unblocks the heat-network dwellings AND corrects ~30 already-computing fixtures (within-0.5 42.9% → 49.5%, MAE 3.05 → 1.02). Sibling Guinness cohort unchanged (82.9% / 0.36). Block C (gable 'None') was already resolved on main — no change needed. Fixture 461178278096 lodges no main heating at all (MissingMainFuelType); tolerated as a known gap in the harness and ticketed (#1680) for the modelling decision. LRHA ratchets re-baselined to the corrected cohort (0.49 / 1.05). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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| .claude/skills | ||
| .devcontainer | ||
| .github/workflows | ||
| .idea | ||
| .vscode | ||
| applications | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| deployment/terraform | ||
| docs | ||
| domain | ||
| epr_data_exports | ||
| etl | ||
| harness | ||
| infrastructure | ||
| model_data/requirements | ||
| orchestration | ||
| recommendations | ||
| repositories | ||
| sap worksheets | ||
| scripts | ||
| sfr/principal_pitch | ||
| survey_report | ||
| tests | ||
| utilities | ||
| utils | ||
| .coveragerc | ||
| .dockerignore | ||
| .gitignore | ||
| __init__.py | ||
| ara_backend_design.md | ||
| BaseUtility.py | ||
| CLAUDE.md | ||
| conftest.py | ||
| CONTEXT.md | ||
| devcontainer.sh | ||
| Dockerfile.test | ||
| Dockerfile.test.dockerignore | ||
| Makefile | ||
| MEMORY.md | ||
| modelling_audit.md | ||
| next_claude_prompt.txt | ||
| P960-0001-001431-2.pdf | ||
| package-lock.json | ||
| package.json | ||
| playground.py.local-backup | ||
| pyproject.toml | ||
| pyrightconfig.json | ||
| pytest.ini | ||
| README.md | ||
| run_lambda_local.sh | ||
| serverless.yml | ||
| Summary_001431-3.pdf | ||
| 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