idfpy 25.2.0.post1

Type-safe Pydantic models for all EnergyPlus IDF objects

idfpy

Type-safe Pydantic models for all EnergyPlus IDF object types, plus IDF file read/write and simulation execution.

Auto-generated from Energy+.schema.epJSON version 25.2.0.

Features

• 858 object types as Pydantic v2 models with full validation
• 275 reference types with cross-object validation
• Case-insensitive Literal field matching (EnergyPlus IDF is case-insensitive)
• Extensible field support (vertices, schedule data, etc.)
• IDF read/write with positional field ordering
• EnergyPlus simulation execution with ExpandObjects support
• Accepts both snake_case and original EnergyPlus schema key names

Installation

pip install idfpy

Quick Start

from pathlib import Path
from idfpy import IDF
from idfpy.models.simulation import Version, Building
from idfpy.models.thermal_zones import Zone

# Create an IDF
idf = IDF()
idf.add(Version())
idf.add(Building(name='MyBuilding', north_axis=0.0))
idf.add(Zone(name='Zone1'))

# Save
idf.save(Path('output.idf'))

# Load existing IDF
idf = IDF.load(Path('existing.idf'))
print(f'{len(idf)} objects loaded')

# Run simulation
idf.run(
    idf_path=Path('model.idf'),
    weather_path=Path('weather.epw'),
    output_dir=Path('results/'),
)

License

MIT