pyproject.toml

[project]
name = "dibs_datasource_csv"
version = "1.0.1"
description = "This package translates CSV date files to DIBS input. DIBS---Dynamic-ISO-Building-Simulator is a simulation program for calculating the space heating, occupancy hot water, cooling and electricity demand of German non-residential buildings. Further the DIBS calculates the heating value based energy uses, the primary energy and the greenhouse gas emission. The underlying resistance-capacity-model is based on the simplified hourly method of ISO 13790:2008."
readme = "README.md"
requires-python = ">=3.10.0"
license = { file = "LICENSE" }
authors = [
    { name = "Julian Bischof", email = "j.bischof@iwu.de" },
    { name = "Simon Knoll" },
    { name = "Wail Samjouni", email = "w.samjouni@iwu.de" },
    { name = "Michael Hörner" },
    { name = "André Müller", email = "a.mueller@iwu.de" },
    { name = "Jens Calisti", email = "j.calisti@iwu.de" },
]

dependencies = [
    "pandas == 2.2.1",
    "numpy>1.22.4,<=2.0.0.dev0",
    "dibs_computing_core",
    "dibs_data == 1.0.1",
    "openpyxl == 3.1.2",
    "geopy == 2.4.0"
]

keywords = ["Building", "Building-Stock", "Non-Domestic", "Non-Residential", "Operational", "Energy", "Greenhouse Gas", "Global Warming Potential", "Simulation", "Model", "Germany", "ISO 13790", "5R1C"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Programming Language :: Python"
]


[tool.pytest.ini_options]
pythonpath = [
    "src",
]


addopts = [
    "--import-mode=importlib",
]


[project.urls]
Repository = "https://github.com/IWUGERMANY/DibsDataSourceCSV"

[tool.black]
line-length = 88
target-version = ['py310']

[build-system]
requires = ["flit_core >=2"]
build-backend = "flit_core.buildapi"