0e4f4c051a
Update NEXT_AGENT_PROMPT.md for the TDD session that landed 3 more
slices on top of Session 1's fabric work:
58: secondary fuel cost routes through lodged secondary_fuel_type
(closes the biggest single gap on cert 001479 — 9 SAP)
59: heat_transmission apportions windows per bp via window_location
60: thermal bridging y uses primary bp's age (dwelling-wide)
Chain pin `test_summary_001479_full_chain_sap_matches_worksheet_pdf_
exactly` is committed RED as the load-bearing TDD forcing function:
Pre-workstream: delta +5.84 SAP (cascade 63.17 vs target 69.0094)
Post-Slice 60: delta −1.19 SAP (cascade 70.20 vs target 69.0094)
Per-bp fabric U-values all match the worksheet exactly. Remaining
1.19 SAP overshoot maps to ~3 W/K of HLC undercount in roof + floor:
- Ext2 PS sloping-ceiling roof area uses floor projection (1.92 m²)
instead of slant area (2.22 m²). −0.81 W/K.
- Main ground-floor U: `u_floor` Table 19 returns 0.60 for age C;
worksheet expects 0.65 (same as age B). −1.52 W/K.
- (31) external area under-count drives bridging gap. −2.08 W/K.
Slice 61 (SapFloorDimension.floor_lodged_u_value override using
Summary §9 "Default U-value") was attempted and reverted: closed
001479 floor gap exactly but broke 000474 cohort's 1e-4 pin (its
cascade calibration uses u_floor age-B 0.77 vs Summary's lodged
0.75). Next session needs a different fix — Table 19 audit for
age C, or selective override.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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| .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