edb1e6b892
Session summary documents covering 6 slices:
- S0380.85 — Curtain Wall §5.18 dispatch (cascade walls 443 → 555.93 W/K)
- S0380.86 — §5.6 thin-wall stone + §5.8 dry-line (555.93 → 602.40,
worksheet 604.07, 0.27% residual)
- S0380.87 — Table 4e GROUP 2 HP control codes — single-line spec
dispatch bug; SH residual +7924 → +1460 (82%), sap_score
23 → 27, largest single-slice movement of session
- S0380.88 — Full Table 4e Groups 0-7 + UnmappedSapCode strict-raise
- S0380.89 — Table 4d responsiveness + screed-UFH bug fix + strict raise
(latent bug found via strict-raise rollout)
- S0380.90 — 6 dispatch sites strict-raise + UnmappedSapCode shared
module + GOV.UK API digit-string meter_type bug fix
HANDOVER_POST_S0380_90.md covers full state, cumulative-closure table,
strict-raise philosophy, and which 6 dispatch sites were closed.
NEXT_AGENT_PROMPT_POST_S0380_90.md briefs the next-slice work:
S0380.91 (RdSAP 10 Table 15 row 3 "Cavity masonry filled" U=0.2 in
u_party_wall — closes ~+1000 kWh of the remaining +1460 SH residual
on cert 000565 Ext1).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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| .vscode | ||
| applications | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| deployment/terraform | ||
| docs/adr | ||
| domain | ||
| epr_data_exports | ||
| etl | ||
| infrastructure | ||
| model_data/requirements | ||
| orchestration | ||
| recommendations | ||
| repositories | ||
| 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