#!/usr/bin/env python

from setuptools import find_packages, setup

import os
import subprocess
import sys
import time
import torch
from torch.utils.cpp_extension import BuildExtension, CppExtension, CUDAExtension

version_file = './basicsr/version.py'


def readme():
    with open('README.md', encoding='utf-8') as f:
        content = f.read()
    return content


def get_git_hash():

    def _minimal_ext_cmd(cmd):
        # construct minimal environment
        env = {}
        for k in ['SYSTEMROOT', 'PATH', 'HOME']:
            v = os.environ.get(k)
            if v is not None:
                env[k] = v
        # LANGUAGE is used on win32
        env['LANGUAGE'] = 'C'
        env['LANG'] = 'C'
        env['LC_ALL'] = 'C'
        out = subprocess.Popen(cmd, stdout=subprocess.PIPE, env=env).communicate()[0]
        return out

    try:
        out = _minimal_ext_cmd(['git', 'rev-parse', 'HEAD'])
        sha = out.strip().decode('ascii')
    except OSError:
        sha = 'unknown'

    return sha


def get_hash():
    if os.path.exists('.git'):
        sha = get_git_hash()[:7]
    elif os.path.exists(version_file):
        try:
            from version import __version__
            sha = __version__.split('+')[-1]
        except ImportError:
            raise ImportError('Unable to get git version')
    else:
        sha = 'unknown'

    return sha


def write_version_py():
    content = """# GENERATED VERSION FILE
# TIME: {}
__version__ = '{}'
__gitsha__ = '{}'
version_info = ({})
"""
    sha = get_hash()
    with open('./basicsr/VERSION', 'r') as f:
        SHORT_VERSION = f.read().strip()
    VERSION_INFO = ', '.join([x if x.isdigit() else f'"{x}"' for x in SHORT_VERSION.split('.')])

    version_file_str = content.format(time.asctime(), SHORT_VERSION, sha, VERSION_INFO)
    with open(version_file, 'w') as f:
        f.write(version_file_str)


def get_version():
    with open(version_file, 'r') as f:
        exec(compile(f.read(), version_file, 'exec'))
    return locals()['__version__']


def make_cuda_ext(name, module, sources, sources_cuda=None):
    if sources_cuda is None:
        sources_cuda = []
    define_macros = []
    extra_compile_args = {'cxx': []}

    if torch.cuda.is_available() or os.getenv('FORCE_CUDA', '0') == '1':
        define_macros += [('WITH_CUDA', None)]
        extension = CUDAExtension
        extra_compile_args['nvcc'] = [
            '-D__CUDA_NO_HALF_OPERATORS__',
            '-D__CUDA_NO_HALF_CONVERSIONS__',
            '-D__CUDA_NO_HALF2_OPERATORS__',
        ]
        sources += sources_cuda
    else:
        print(f'Compiling {name} without CUDA')
        extension = CppExtension

    return extension(
        name=f'{module}.{name}',
        sources=[os.path.join(*module.split('.'), p) for p in sources],
        define_macros=define_macros,
        extra_compile_args=extra_compile_args)


def get_requirements(filename='requirements.txt'):
    with open(os.path.join('.', filename), 'r') as f:
        requires = [line.replace('\n', '') for line in f.readlines()]
    return requires


if __name__ == '__main__':
    if '--cuda_ext' in sys.argv:
        ext_modules = [
            make_cuda_ext(
                name='deform_conv_ext',
                module='ops.dcn',
                sources=['src/deform_conv_ext.cpp'],
                sources_cuda=['src/deform_conv_cuda.cpp', 'src/deform_conv_cuda_kernel.cu']),
            make_cuda_ext(
                name='fused_act_ext',
                module='ops.fused_act',
                sources=['src/fused_bias_act.cpp'],
                sources_cuda=['src/fused_bias_act_kernel.cu']),
            make_cuda_ext(
                name='upfirdn2d_ext',
                module='ops.upfirdn2d',
                sources=['src/upfirdn2d.cpp'],
                sources_cuda=['src/upfirdn2d_kernel.cu']),
        ]
        sys.argv.remove('--cuda_ext')
    else:
        ext_modules = []

    write_version_py()
    setup(
        name='basicsr',
        version=get_version(),
        description='Open Source Image and Video Super-Resolution Toolbox',
        long_description=readme(),
        long_description_content_type='text/markdown',
        author='Xintao Wang',
        author_email='xintao.wang@outlook.com',
        keywords='computer vision, restoration, super resolution',
        url='https://github.com/xinntao/BasicSR',
        include_package_data=True,
        packages=find_packages(exclude=('options', 'datasets', 'experiments', 'results', 'tb_logger', 'wandb')),
        classifiers=[
            'Development Status :: 4 - Beta',
            'License :: OSI Approved :: Apache Software License',
            'Operating System :: OS Independent',
            'Programming Language :: Python :: 3',
            'Programming Language :: Python :: 3.7',
            'Programming Language :: Python :: 3.8',
        ],
        license='Apache License 2.0',
        setup_requires=['cython', 'numpy'],
        install_requires=get_requirements(),
        ext_modules=ext_modules,
        cmdclass={'build_ext': BuildExtension},
        zip_safe=False)
