2b5fc6a575
Spec lines 7909-7953 (worksheet block §9a). Composes per-system fuel kWh from (98c)m, Table 11 secondary fraction (201), and per-system efficiencies (206)/(207)/(208). Formula: (211)m = (98c)m × (204) × 100 / (206) where (204) collapses to (202) = 1 − (201) in scope A's single-main case. EnergyRequirementsResult dataclass mirrors the full §9a worksheet shape with 16 fields including (203)/(205)/(207)/(209)/(213)/(221) zero-branch placeholders — worksheet-shape-fidelity precedent (§8c Q4/Q7/Q9, §8f Q3 grilling). First multi-main / fixed-AC / PCDB cert triggers the slices that populate them. Synthetic tests: (a) single-main no-secondary 80% efficiency Σ(211)=Σ(98c)/0.8, (b) Table 11 secondary fraction split (201)=0.1 produces (211)+(215) at correct ratios, (c) summer-clamp zeros from §8 (98c)m propagate through linearly to (211)m/(215)m, (d) scope-A two-main + cooling-fuel fields remain zero regardless of inputs. Calculator + cert_to_inputs wiring lands in slice 3. PDF-derived ALL_FIXTURES pins for slice 2 deferred until PCDB integration grounds LINE_206 (Manufacturer-declared boiler efficiency); flagged in the SPEC_COVERAGE PCDB gap-list entry. 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