setup.py

# coding: utf-8

# Copyright 2014-2019 Álvaro Justen <https://github.com/turicas/rows/>

#    This program is free software: you can redistribute it and/or modify
#    it under the terms of the GNU Lesser General Public License as published by
#    the Free Software Foundation, either version 3 of the License, or
#    (at your option) any later version.

#    This program is distributed in the hope that it will be useful,
#    but WITHOUT ANY WARRANTY; without even the implied warranty of
#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
#    GNU Lesser General Public License for more details.

#    You should have received a copy of the GNU Lesser General Public License
#    along with this program.  If not, see <http://www.gnu.org/licenses/>.

from __future__ import unicode_literals

from distutils.util import convert_path
from setuptools import find_packages, setup


version_filename = convert_path("rows/__init__.py")
with open(version_filename, mode="r", encoding="utf-8") as fobj:
    for line in fobj:
        if "__version__ =" in line:
            version = line.strip().split("=")[-1].strip()

utils_requirements = ["requests", "requests-cache", "tqdm"]
EXTRA_REQUIREMENTS = {
    "cli": ["click"] + utils_requirements,
    "csv": ["unicodecsv"],
    "detect": ["file-magic"],
    "html": ["lxml"],  # apt: libxslt-dev libxml2-dev
    "ods": ["lxml"],
    "parquet": ["parquet"],
    "pdf": ["cached-property", "pymupdf>=1.16.8"],
    "pdf-pdfminer.six": ["cached-property", "pdfminer.six"],
    "pdf-pymupdf": ["cached-property", "pymupdf"],
    "postgresql": ["psycopg2-binary"],
    "utils": utils_requirements,
    "xls": ["xlrd", "xlwt"],
    "xlsx": ["defusedxml>=0.6.0", "openpyxl"],
    "xpath": ["lxml"],
}
EXTRA_REQUIREMENTS["all"] = sum(EXTRA_REQUIREMENTS.values(), [])
INSTALL_REQUIREMENTS = ["dataclasses", "pathlib", "six", "requests"] + EXTRA_REQUIREMENTS["csv"]
LONG_DESCRIPTION = """
No matter in which format your tabular data is: rows will import it,
automatically detect types and give you high-level Python objects so you can
start working with the data instead of trying to parse it. It is also
locale-and-unicode aware. :)

Read the documentation and learn how simple is to use it: http://turicas.info/rows
""".strip()


setup(
    name="rows",
    description=(
        "A common, beautiful interface to tabular data, " "no matter the format"
    ),
    long_description=LONG_DESCRIPTION,
    version=version,
    author="Álvaro Justen",
    author_email="alvarojusten@gmail.com",
    url="https://github.com/turicas/rows/",
    packages=find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"]),
    install_requires=INSTALL_REQUIREMENTS,
    extras_require=EXTRA_REQUIREMENTS,
    keywords="tabular table csv xls xlsx xpath ods sqlite html pdf rows data opendata",
    dependency_links=[
        "https://github.com/turicas/parquet-python/archive/enhancement/move-to-thriftpy2.zip#egg=parquet"
    ],
    entry_points={"console_scripts": ["rows = rows.cli:cli"]},
    classifiers=[
        "Development Status :: 5 - Production/Stable",
        "Environment :: Console",
        "Intended Audience :: Developers",
        "Intended Audience :: Science/Research",
        "Intended Audience :: System Administrators",
        "License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)",
        "Natural Language :: English",
        "Operating System :: OS Independent",
        "Programming Language :: Python :: 2.7",
        "Programming Language :: Python :: 3.5",
        "Programming Language :: Python :: 3.6",
        "Topic :: Database",
        "Topic :: Software Development :: Libraries :: Python Modules",
        "Topic :: Text Processing :: Markup :: HTML",
        "Topic :: Utilities",
    ],
)