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setup.py
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setup.py
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#################################################################################
# DISPATCHES was produced under the DOE Design Integration and Synthesis Platform
# to Advance Tightly Coupled Hybrid Energy Systems program (DISPATCHES), and is
# copyright (c) 2020-2023 by the software owners: The Regents of the University
# of California, through Lawrence Berkeley National Laboratory, National
# Technology & Engineering Solutions of Sandia, LLC, Alliance for Sustainable
# Energy, LLC, Battelle Energy Alliance, LLC, University of Notre Dame du Lac, et
# al. All rights reserved.
#
# Please see the files COPYRIGHT.md and LICENSE.md for full copyright and license
# information, respectively. Both files are also available online at the URL:
# "https://github.com/gmlc-dispatches/dispatches".
#################################################################################
"""
Project setup with setuptools
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
import pathlib
import re
# this will come in handy, probably
cwd = pathlib.Path(__file__).parent.resolve()
# Parse long description from README.md file
with open("README.md") as f:
lines, capture = [], False
for line in f:
s = line.strip()
if re.match(r"#\s*[Aa]bout", s):
capture = True
elif re.match("^#", s):
break
elif capture is True:
lines.append(s)
if lines:
long_description = " ".join(lines)
else:
long_description = "DISPATCHES project"
def read_requirements(input_file):
"""Build list of requirements from a requirements.txt file
"""
req = []
for line in input_file:
s = line.strip()
c = s.find("#") # look for comment
if c != 0: # no comment (-1) or comment after start (> 0)
if c > 0: # strip trailing comment
s = s[:c]
req.append(s)
return req
class SpecialDependencies:
"""
The following packages require special treatment, as they change rapidly between release cycles.
Two separate lists of dependencies are kept:
- for_release: to be used when cutting a release of DISPATCHES
- for_prerelease: to be used for the prerelease version of DISPATCHES (i.e. the `main` branch, and all PRs targeting it)
"""
# idaes-pse: for IDAES DMF -dang 12/2020
for_release = [
# NOTE: this will fail until this idaes-pse version is available on PyPI
"idaes-pse==2.0.*",
]
for_prerelease = [
"idaes-pse==2.0.*",
]
SPECIAL_DEPENDENCIES = SpecialDependencies.for_prerelease
########################################################################################
setup(
name="dispatches",
url="https://github.com/gmlc-dispatches/dispatches",
version="1.3.dev0",
description="GMLC DISPATCHES software tools",
long_description=long_description,
long_description_content_type="text/plain",
author="DISPATCHES team",
# Classifiers help users find your project by categorizing it.
#
# For a list of valid classifiers, see https://pypi.org/classifiers/
classifiers=[
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
"Development Status :: 3 - Alpha",
"Intended Audience :: End Users/Desktop",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: BSD License",
"Natural Language :: English",
"Operating System :: MacOS",
"Operating System :: Microsoft :: Windows",
"Operating System :: Unix",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: Implementation :: CPython",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Scientific/Engineering :: Chemistry",
"Topic :: Software Development :: Libraries :: Python Modules",
"Programming Language :: Python :: 3 :: Only",
],
keywords="market simulation, chemical engineering, process modeling, hybrid power systems",
packages=find_packages(),
python_requires=">=3.8, <4",
install_requires=[
"pytest",
# we use jupyter notebooks
"jupyter",
# for visualizing DMF provenance
"graphviz",
"gridx-prescient>=2.2.2",
"nrel-pysam>=3.0.1",
"dispatches-data-packages >= 23.3.19",
*SPECIAL_DEPENDENCIES
],
extras_require={
"teal": [
"raven-framework == 2.2 ; python_version <= '3.8' and platform_system != 'Linux'",
"teal-ravenframework == 0.3 ; python_version <= '3.8' and platform_system != 'Linux'",
"dispatches-synthetic-price-data >= 23.4.4",
],
"surrogates": [
"tslearn >= 0.5.2",
"tensorflow >= 2.9.1",
"tables >= 3.6.1",
"matplotlib",
"dispatches-dynamic-sweep-data >= 23.4.4",
],
},
package_data={
"": ["*.json"],
"dispatches.tests.data.prescient_5bus": ["*.csv"],
"dispatches.case_studies.renewables_case.tests": [
"rts_results_all_prices.npy",
],
"dispatches.case_studies.renewables_case.data": [
"Wind_Thermal_Dispatch.csv",
"309_WIND_1-SimulationOutputs.csv",
"44.21_-101.94_windtoolkit_2012_60min_80m.srw"
],
"dispatches.case_studies.fossil_case.ultra_supercritical_plant": [
"pfd_ultra_supercritical_pc.svg",
],
"dispatches.workflow.train_market_surrogates.dynamic.tests.data":[
"inputdatatest.h5",
"revdatatest.csv",
"simdatatest.csv",
"sample_clustering_model.json"
],
},
)