3542186f18
Continuation of S0380.135's Table 4a per-heating-system responsiveness dispatch (`_RESPONSIVENESS_BY_SAP_CODE` in cert_to_inputs.py). The solid-fuel coverage closed 10 corpus variants; this slice extends the dispatch to the electric heating SAP code ranges from SAP 10.2 Table 4a (PDF p.170): 401 Old (large volume) storage heaters R=0.00 402 Slimline storage heaters R=0.20 403 Convector storage heaters R=0.20 404 Fan storage heaters R=0.40 405 Slimline storage heaters + Celect-type ctrl R=0.40 407 Fan storage heaters + Celect-type ctrl R=0.60 408 Integrated storage+direct-acting heater R=0.60 409 High heat retention storage heaters (§9.2.8) R=0.80 421 In concrete slab (off-peak only) R=0.00 422 Integrated (storage+direct-acting) R=0.25 423 Integrated with low off-peak R=0.50 424 In screed above insulation R=0.75 425 In timber floor / immediately below covering R=1.00 515 Electricaire system R=0.75 691 Panel, convector or radiant heaters R=1.00 694 Water- or oil-filled radiators R=1.00 701 Electric ceiling heating R=0.75 A few electric storage codes (402, 403, 405, 407) carry a *different* R value in the 24-hour tariff section of Table 4a vs the off-peak section (e.g. Slimline 402 = R=0.20 off-peak / R=0.40 24-hour). This dict captures the off-peak value as the default because the 24-hour tariff is rare in the corpus (no variant lodges it). If a 24-hour- tariff cert surfaces with one of these codes the dispatch needs to be promoted to a (sap_code, tariff) lookup; until then the off-peak default applies. Heating-systems corpus impact — 6 electric corpus variants re-pinned: variant SAP R ΔSAP was ΔPE was electric 3 401 0.00 +9.43 +14.70 -1059 -3189 electric 5 402 0.20 +6.76 +10.97 -96 -1798 electric 6 404 0.40 +7.82 +10.97 -494 -1770 electric 7 408 0.60 +7.58 +9.68 -428 -1277 electric 8 409 0.80 +5.84 +6.89 +200 -224 electric 9 421 0.00 +6.77 +12.03 +154 -1976 3/6 PE residuals close to ±200 kWh (electric 5/8/9). The remaining +5..+9 SAP residuals across all electric variants suggest a separate shared cascade gap (likely Table 12a high/low-rate fraction or pumps/ fans electric handling — fuel cost is consistently under-counted by ~£100-£220 across the cluster). Queued for follow-up. electric 1 (SAP 191 Direct acting electric boiler) and electric 2 (SAP 524 Air source heat pump) unchanged — both have spec R=1.0 already (matched the Table 4d emitter fallback). Extended handover suite: 880 pass / 0 fail (+1 new AAA test covering the 17 electric R-dispatch entries). Pyright net-zero on touched files (43 → 43). No golden fixture impact — no golden cert lodges a covered electric SAP code via the cascade path that would shift residuals. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> |
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| applications | ||
| asset_list | ||
| backend | ||
| backlog | ||
| datatypes | ||
| deployment/terraform | ||
| docs/adr | ||
| domain | ||
| epr_data_exports | ||
| etl | ||
| infrastructure | ||
| model_data/requirements | ||
| orchestration | ||
| recommendations | ||
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| sfr/principal_pitch | ||
| survey_report | ||
| tests | ||
| utilities | ||
| utils | ||
| .coveragerc | ||
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| .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