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setup.py
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setup.py
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#!/usr/bin/env python
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
import codecs
import os.path
# to access version
def read(rel_path):
here = os.path.abspath(os.path.dirname(__file__))
with codecs.open(os.path.join(here, rel_path), "r") as fp:
return fp.read()
def get_version(rel_path):
for line in read(rel_path).splitlines():
if line.startswith("__version__"):
delim = '"' if '"' in line else "'"
return line.split(delim)[1]
else:
raise RuntimeError("Unable to find version string.")
long_description = "The `Adapter Python IO` software provides a convenient data table loader from various formats such as `xlsx`, `csv`, `db (sqlite database)`, and `sqlalchemy`. Its main feature is the ability to convert data tables identified in one main and optionally one or more additional input files into `database tables` and `Pandas DataFrames` for downstream usage in any compatible software. `Adapter` builds upon the existing Python packages that allow for the communication between `Python` and `MS Excel`, as well as `databases` and `csv` files. It provides inbuilt capabilities to specify the output location path, as well as a version identifier for a research code run. In addition to the loading capability, an instance of the `Adapter` `IO` object has the write capability. If invoked, all loaded tables are written as either a single `database` or a set of `csv` files, or both. The purpose of this software is to support the development of research and analytical software through allowing for a simple multi-format IO with versioning and output path specification in the input data itself. The package is supported on `Windows` and `macOS`, as well as for `Linux` for the utilization without any `xlsx` inputs."
setup(
name="adapterio",
version=get_version("adapter/__init__.py"),
description="I/O module",
long_description=long_description,
# The project's main homepage.
url="https://github.com/LBNL-ETA/Adapter",
# Author details
author="Milica Grahovac, Youness Bennani, Thomas Burke, Katie Coughlin, Mohan Ganeshalingam, Akhil Mathur, Evan Neill, Akshay Sharma, Zheng He and Lyra Lan",
# Choose your license
license="BSD-3-Clause-LBNL",
# See https://pypi.python.org/pypi?%3Aaction=list_classifiers
classifiers=[
"Programming Language :: Python :: 3.8",
],
keywords="data, tables, IO for research computation, sql, excel, csv, dataframe, connection",
packages=find_packages(exclude=["*.tests", "*.tests"]),
install_requires=[
"pandas>=2.2.0",
"xlwings>=0.19.4",
"psycopg2-binary>=2.8.6",
"SQLAlchemy>=2.0.0",
"openpyxl>=3.1.2",
],
)