# Copyright 2019 MilaGraph. All Rights Reserved.

#

# Licensed under the Apache License, Version 2.0 (the "License");

# you may not use this file except in compliance with the License.

# You may obtain a copy of the License at

#

# http://www.apache.org/licenses/LICENSE-2.0

#

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an "AS IS" BASIS,

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

# See the License for the specific language governing permissions and

# limitations under the License.

#

# Author: Zhaocheng Zhu

from __future__ import print_function, absolute_import

import os

from setuptools import setup, find_packages

from graphvite import __version__, lib_path, lib_file

name = "graphvite"

faiss_file = os.path.join(lib_path, "libfaiss.so")

project_path = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))

# library files

install_path = os.path.join(name, "lib")

data_files = [(install_path, [lib_file, faiss_file])]

# configuration files

for path, dirs, files in os.walk(os.path.join(project_path, "config")):

install_path = os.path.join(name, os.path.relpath(path, project_path))

files = [os.path.join(path, file) for file in files]

data_files.append((install_path, files))

setup(

name=name,

version=__version__,

description="A general and high-performance graph embedding system for various applications",

packages=find_packages(),

data_files=data_files,

entry_points={"console_scripts": ["graphvite = graphvite.cmd:main"]},

zip_safe=False,

#install_requires=["numpy", "pyyaml", "easydict", "six", "future"],

#extras_requires={"app": ["imageio", "psutil", "scipy", "matplotlib", "torch", "torchvision", "nltk"]}

)