e51fcb74ca
User pivot at end of prior session: don't hand-build EpcPropertyData
fixtures — route Summary PDFs through `EpcPropertyDataMapper.from_
elmhurst_site_notes` so the pin grid exercises extractor + mapper +
calculator, and each new Elmhurst doc grows mapper coverage instead
of bespoke fixture code.
New fixture cert 000565 is a stress-test cert (5 building parts, age
mix A→J, conservatory with heaters, curtain wall, basement walls,
mixed party-wall constructions) that surfaces many uncommon cascade
paths absent from the cohort-2 + ASHP corpus.
Mapper coverage extended for 3 Elmhurst §11 glazing labels surfaced
on this cert (per RdSAP-Schema-21.0.1, `datatypes/epc/domain/
epc_codes.csv` glazed_type rows):
"Triple between 2002 and 2021": 9 (RdSAP-21 schema row 9 — triple
glazing, installed 2002-2022 in EAW; `_G_PERPENDICULAR_BY_
GLAZING_TYPE[9] = 0.68`, `_G_LIGHT_BY_GLAZING_CODE[9] = 0.70`)
"Single glazing": 1 (alias of bare "Single"; cascade
g_L = 0.90, g⊥ = 0.85 per SAP 10.2 Table 6b)
"Double glazing, known data": 3 (Elmhurst lodgement of RdSAP-21
schema row 7 "double, known data"; manufacturer U-value and
g-value lodged via WindowTransmissionDetails override the
cascade's defaults — grouped under code 3 with other unknown-
date DG variants for cascade-equivalence on g_L/g⊥)
Per [[feedback-e2e-validation-philosophy]] + [[feedback-zero-error-
strict]]: pin tolerances are abs=1e-4 against U985-0001-000565.pdf
Block 1 line refs (pinned: SAP int + SAP continuous + ECF + total
fuel cost + CO2 + space heating + main 1 fuel + secondary fuel +
hot water + lighting + pumps/fans).
Outcome: 1/11 pin green (`secondary_heating_fuel_kwh_per_yr = 0`);
10 pins are now named calculator-gap residuals to fix in subsequent
slices:
main_heating_fuel_kwh_per_yr +27,665.01 kWh/yr (heat-pump SAP code
224 + gas combi via WHC 914 "from second main"; cascade probably
runs ASHP for DHW instead of routing through gas combi)
hot_water_kwh_per_yr +164.88 kWh/yr (FGHRS / solar HW /
Table 3a no-keep-hot for the gas combi DHW path)
lighting_kwh_per_yr -236.19 kWh/yr (RdSAP §12-1 bulb-
count cascade; 27 total / 7 low-energy / 20 incandescent lodged)
pumps_fans_kwh_per_yr -122.52 kWh/yr (cascade defaults
to 130; expected 252.52 = MEV PCDF 500755 + flue + solar pump)
Cohort regression check: 472 pass + 10 expected 000565 failures.
Pyright net-zero (32 errors before, 32 after).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
|
||
|---|---|---|
| .devcontainer | ||
| .github/workflows | ||
| .idea | ||
| .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