8c21b399c6
Eighth slice of the SAP10 Calculator Session A (ADR-0009). Implements
SAP 10.3 mean internal temperature with three public helpers under
domain.sap.worksheet.mean_internal_temperature:
elsewhere_heating_temperature_c(hlp, control_type)
-> Table 9 T_h2 formula:
control type 1: T_h2 = 21 − 0.5 × HLP
control type 2 or 3: T_h2 = 21 − HLP + HLP² / 12
HLP clamped to 6.0 per Table 9 note (e).
off_period_temperature_reduction_c(t_off, T_h, T_e, R, G, H, η, τ)
-> Table 9b u value (°C drop below T_h over an off-period):
t_c = 4 + 0.25·τ
T_sc = (1−R)(T_h−2) + R·(T_e + η·G/H)
quadratic branch when t_off ≤ t_c, linear when t_off > t_c.
mean_internal_temperature_c(...)
-> Table 9c steps 1-8: living-area zone (off 7+8 h, T_h1=21°C) and
elsewhere zone (off 7+8 h for control 1/2 or 9+8 h for control 3,
T_h2 from above), blended by living_area_fraction, plus the
Table 4e control-type temperature adjustment.
Step 9 (re-compute utilisation factor with the new T_i) and step 10
(Q_heat = 0.024 × (L − η·G) × n_m) live in the next slice's monthly loop.
7 AAA cycles cover: T_h2 formulas for control types 1 vs 2, HLP > 6 clamp
per note (e), off-period u quadratic branch (t_off ≤ t_c), off-period u
linear branch (t_off > t_c), full mean_internal_temperature hand-computed
worked example, and control-type-3 longer first off-period dropping mean
temp slightly below control-type-2.
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|---|---|---|
| .devcontainer | ||
| .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