setup.py

import codecs
import os
import re

from setuptools import find_packages, setup

here = os.path.abspath(os.path.dirname(__file__))


def read(*parts):
    with codecs.open(os.path.join(here, *parts), "r") as fp:
        return fp.read()


def find_version(*file_paths):
    version_file = read(*file_paths)
    version_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]", version_file, re.M)
    if version_match:
        return version_match.group(1)
    raise RuntimeError("Unable to find version string.")


with open("requirements.txt") as file:
    install_requires = file.read().splitlines()

extras_requires = {}
extras_requires_patterns = re.compile(r"requirements-extras-(\w+)\.txt")
for file_name in os.listdir("."):
    match = extras_requires_patterns.search(file_name)
    if not match:
        continue

    with open(file_name) as file:
        extras_name = match.group(1)
        extras_requires[extras_name] = file.read().splitlines()

setup(
    name="fireant",
    version=find_version("fireant", "__init__.py"),
    author="KAYAK, GmbH",
    author_email="bandit@kayak.com",
    # License
    license="Apache License Version 2.0",
    packages=find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"]),
    # Include additional files into the package
    include_package_data=True,
    # Details
    url="https://github.com/kayak/fireant",
    description="Data analysis tool for Python and Jupyter Notebooks",
    long_description="Fireant is a tool which aims to simplify the process of accessing analytical data and building "
    "dashboards and reports.  It eliminates the need for handwritten queries or code to process "
    "data. "
    "The main feature, the dataset, is a schema that is used to configure metrics, the data being "
    "visualized, and dimensions, the spatiality over which metrics can be extended and grouped. "
    "Included in the Slicer is a Slicer Manager API which exposes methods to render tables and "
    "charts "
    "in a variety of different formats.\n\n"
    "Fireant is a great compliment to Jupyter notebooks using matplotlib and pandas. It can be used "
    "in "
    "web projects with Highcharts and React-Table. It can even just provide a layer of "
    "abstraction "
    "for accessing analytical data akin to ORM libraries in software projects.",
    classifiers=[
        "License :: OSI Approved :: Apache Software License",
        "Development Status :: 5 - Production/Stable",
        "Intended Audience :: Developers",
        "Programming Language :: Python :: 3",
        "Programming Language :: PL/SQL",
        "Topic :: Software Development :: Libraries :: Python Modules",
        "Topic :: Scientific/Engineering :: Information Analysis",
        "Topic :: Scientific/Engineering :: Mathematics",
        "Operating System :: POSIX",
        "Operating System :: MacOS :: MacOS X",
        "Operating System :: Microsoft :: Windows",
    ],
    keywords=(
        "fireant python query builder querybuilder sql mysql postgres mssql psql oracle vertica aggregated "
        "relational database rdbms business analytics bi data science analysis pandas"
    ),
    install_requires=install_requires,
    extras_require=extras_requires,
    tests_require=["mock"],
    test_suite="fireant.tests",
)