Cert 000565 surfaced the spec gap. Worksheet shows "Electricity
Tariff: 10 Hour Off Peak" while the Summary PDF only lodges
"Electricity meter type: Dual" — no separate tariff-hour field is
exported. Elmhurst SAP picks 10-hour because RdSAP 10 §12 page 62
contains a published inference algorithm:
> If the meter is dual 18-hour/24-hour it is 18-hour/24-hour tariff.
> Otherwise the choice between 7-hour and 10-hour is determined as
> follows.
> 1. If the main heating system (or main system if there are two)
> is an electric CPSU (192) it is 10-hour tariff.
> 2. Otherwise, if … electric storage heaters (401 to 409), or
> electric dry core or water storage boiler (193 or 195), or
> electric underfloor heating (421 or 422) — it is 7-hour tariff.
> 3. If that has not resolved it then if … direct-acting electric
> boiler (191), or heat pump (211 to 224, 521 to 524, or
> database), or electric room heaters — it is 10-hour tariff.
> 4. If none of the above applies it is 7-hour tariff.
Cert 000565 Main 1 SAP code 224 (ASHP) + Dual meter → Rule 3 →
10-hour. Matches the worksheet exactly.
New `rdsap_tariff_for_cert(meter_type, main_1_sap_code=...,
main_2_sap_code=..., main_1_is_heat_pump_database=...,
main_2_is_heat_pump_database=...)` implements the dispatch.
"or database" branch covers PCDB Table 362 heat-pump lodgements per
the spec's "or database" wording. Callers compute the boolean via
`heat_pump_record(main_heating_index_number) is not None`.
The pre-existing `tariff_from_meter_type(meter_type)` keeps its
contract for legacy call sites — returns SEVEN_HOUR as the Dual
default (the §12 Rule 4 fallback). Docstring updated to point at the
new helper for callers that need spec-correct dispatch.
Code sets (verbatim §12 page 62):
- `_RULE_1_CPSU_CODES` = {192}
- `_RULE_2_STORAGE_CODES` = {401..409, 193, 195, 421, 422} (NOT 423/424/425)
- `_RULE_3_TEN_HOUR_CODES` = {191, 211..224, 521..524}
- electric room heater codes (Table 4a 6xx) deferred with TODO until a
fixture surfaces them — Rule 4 fallback is correct in the interim
(electric room heater certs would currently get 7-hour, biasing
their cost residual; not on the active fixture front).
This commit is the FOUNDATIONAL change — no cost helpers are wired
to the new dispatch yet, so cohort/golden tests are unchanged
(354 pass + 10 expected 000565 fails). The next slice wires
`_space_heating_fuel_cost_gbp_per_kwh` / `_hot_water_fuel_cost_gbp_
per_kwh` / `_other_fuel_cost_gbp_per_kwh` to use the new dispatch +
Table 12a high-rate fractions for off-peak certs.
Spec source: `domain/sap10_calculator/docs/specs/RdSAP 10
Specification 10-06-2025.pdf` §12 page 62. Verified verbatim per
[[feedback-verify-handover-claims]] before implementing.
Pyright net-zero (0 / 0).
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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| .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