c7e2aa3755
Slice 4b — closes the #1157 tracer. ModellingOrchestrator.run(property_ids, scenario_ids, portfolio_id) now does real work in one Unit of Work, committed once (ADR-0011/0012/0016/0017): read Property (effective EPC) + Scenario via repos → recommend_cavity_wall → select its Option → PackageScorer.score (role-2 package total) + marginal_impacts (role-3 attribution) → build Plan/PlanMeasure → uow.plan.save → commit. - AraFirstRunPipeline / ModellingStage thread portfolio_id from the trigger body (one source of truth); handler builds the real orchestrator (unit_of_work + Sap10Calculator), dropping the Scenario/Materials stubs. - ScenarioRepository.get_many promoted to @abstractmethod now the bare-stub instantiations are gone. - New ara_first_run-style integration test: a property with an uninsulated cavity wall yields a persisted Plan + one cavity_wall_insulation Plan Measure (priced from the Product, figures present, linked by plan_id). Numeric SAP correctness is pinned separately in test_elmhurst_cascade_pins. - Existing pipeline integration test updated: seeds scenario 7 and runs the real Modelling stage (its already-insulated sample wall yields an empty package — no crash). 121 pass across repositories/modelling/orchestration/app; pyright strict clean. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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| .devcontainer | ||
| .github/workflows | ||
| .idea | ||
| .vscode | ||
| applications | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| deployment/terraform | ||
| docs | ||
| domain | ||
| epr_data_exports | ||
| etl | ||
| 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 | ||
| 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