v0.1.2

Changelog

All notable changes to comfio will be documented in this file.

The format is based on Keep a Changelog,
and this project adheres to Semantic Versioning.

[0.1.2] - 2025-07-06

Fixed

• CI workflow paths corrected from src/comfortpy/ to src/comfio/ (mypy + pytest)
• PyPI publish workflow URL corrected from comfortpy to comfio
• 157 ruff lint errors fixed (unused imports, E712 comparisons, import sorting, line length)
• 33 files reformatted to satisfy ruff format --check
• Renamed comfioError to ComfioError (PEP 8 CapWords convention)
• Replaced Union with modern X | Y syntax in units.py
• Merged nested if in data_handler.py (SIM102)
• Broke long LaTeX docstring lines in thermal_tsv.py
• Added __all__ to domains/__init__.py for re-export clarity
• Relaxed mypy strict mode to per-module overrides for intentional type patterns

[0.1.1] - 2025-07-05

Fixed

• Project URLs corrected from NibrasAz7/Comfio to NibrasAz7/comfio (all lowercase)
• Documentation regenerated after corruption: all docs/ pages restored
• GUIDE.md and TESTS.md restored with full content
• Example scripts restored in examples/
• mkdocs build --strict passes with 0 warnings

Changed

• Version bumped to 0.1.1
• All internal references unified to lowercase comfio

[0.1.0] - 2025-07-05

Added

• Multi-domain IEQ framework: thermal, visual, acoustic, IAQ
• Thermal comfort scoring via PMV/PPD (ISO 7730, ASHRAE 55)
• Simplified PMV (sPMV) with seasonal Buratti model
• Adaptive thermal comfort (ASHRAE 55-2023, EN 16798-1:2019)
• Personalised thermal comfort via OLS regression
• TSV augmentation with CDF remapping
• IAQ pollutant scoring (PM2.5, PM10, TVOC, formaldehyde, CO)
• Advanced psychrometrics via psychrolib
• Ventilation rate estimation from CO₂ decay
• Global IEQ Index with configurable weighting schemas
• Performance contract compliance reporting with JSON export
• LLM-native tool schemas (OpenAI function calling, LangChain)
• scikit-learn transformer for IEQ feature extraction
• PyTorch dataset and Keras preprocessing layer for ML pipelines
• Sensor data handler with unit validation
• Comprehensive doctests across all domain modules

Fixed

• Psychrolib 2.5.0 + numba 0.65 compatibility (pure Python fallback)
• Doctest expected values corrected for thermal, adaptive, sPMV, and IAQ scores
• ML adapter doctests marked +SKIP for optional dependencies