460f17352a
Adds the (API JSON + Summary PDF) fixtures for cert 0330-2249-8150-2326-4121 — the boiler pilot identified in the handover. Property: 17 Summerfield Road, MANCHESTER M22 1AE (mid-terrace house, mains gas boiler PCDB idx 10241, age D). Source: API JSON fetched via EpcClientService from https://api.get-energy-performance-data.communities.gov.uk (OPEN_EPC_API_TOKEN). Summary PDF copied from `sap worksheets/Additional data with api/0330-2249-8150-2326-4121/ Summary_000897.pdf` (where the user provided the triple). Worksheet target: SAP 61.5993 (continuous), from `dr87-0001-000897 .pdf` in the same source directory. Current state on these fixtures (uncommitted before this slice): - Summary mapper cascade SAP: 62.0660 (Δ +0.4667 vs worksheet) - API mapper cascade SAP: 63.7446 (Δ +2.1453 vs worksheet) Both paths RED at 1e-4. Two specific cascade-component gaps identified in the handover for follow-up slices: 1. Windows HLC +6.71 W/K (API vs Summary) — likely glazing_type=14 not in Slice 93's `_API_GLAZING_TYPE_TO_TRANSMISSION` (only codes 3 and 13 mapped). 2. HW kWh +1060 (API 3172.65 vs Summary 2112.00) — §4 subsystem gap; needs occupancy/shower/cylinder probe. This commit stages the fixtures only — no tests added yet. The follow-up slice should add a RED Layer 2 test (Summary path 1e-4 vs 61.5993) and proceed slice-by-slice. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> |
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| applications | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| deployment/terraform | ||
| docs/adr | ||
| domain | ||
| epr_data_exports | ||
| etl | ||
| infrastructure | ||
| model_data/requirements | ||
| orchestration | ||
| recommendations | ||
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| sfr/principal_pitch | ||
| survey_report | ||
| tests | ||
| utilities | ||
| utils | ||
| .coveragerc | ||
| .dockerignore | ||
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| __init__.py | ||
| 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_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