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setup.py
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setup.py
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import os
import platform
import subprocess
import sys
from os import path
from setuptools import Extension, find_packages, setup
from setuptools.command.develop import develop
from setuptools.command.egg_info import egg_info
from setuptools.command.install import install
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
if sys.version_info < (3, 10, 0):
raise OSError(f"Marie requires Python >=3.10, but yours is {sys.version}")
try:
# marie was already taken by PIP
pkg_name = "marie-ai"
lib_name = "marie"
libinfo_py = path.join(lib_name, "__init__.py")
libinfo_content = open(libinfo_py, "r", encoding="utf8").readlines()
version_line = [l.strip() for l in libinfo_content if l.startswith("__version__")][
0
]
exec(version_line) # gives __version__
except FileNotFoundError:
__version__ = '0.0.0'
try:
with open('README.md', encoding='utf-8') as fp:
_long_description = fp.read()
except FileNotFoundError:
_long_description = ""
def register_ac():
import os
import re
from pathlib import Path
home = str(Path.home())
resource_path = "marie/resources/completions/marie.%s"
regex = r"#\sMARIE_CLI_BEGIN(.*)#\sMARIE_CLI_END"
_check = {"zsh": ".zshrc", "bash": ".bashrc", "fish": ".fish"}
def add_ac(k, v):
v_fp = os.path.join(home, v)
if os.path.exists(v_fp) or os.environ.get('SHELL', '').endswith(k):
try:
with open(v_fp, encoding='utf-8') as fp:
sh_content = fp.read()
except FileNotFoundError:
sh_content = ''
with open(resource_path % k, encoding='utf-8') as fr:
if re.findall(regex, sh_content, flags=re.S):
_sh_content = re.sub(regex, fr.read(), sh_content, flags=re.S)
else:
_sh_content = sh_content + '\n\n' + fr.read()
if _sh_content:
with open(v_fp, 'w', encoding='utf-8') as fp:
fp.write(_sh_content)
try:
for k, v in _check.items():
add_ac(k, v)
except Exception:
pass
class PostDevelopCommand(develop):
"""Post-installation for development mode."""
def run(self):
develop.run(self)
register_ac()
class PostInstallCommand(install):
"""Post-installation for installation mode."""
def run(self):
install.run(self)
register_ac()
class PostEggInfoCommand(egg_info):
"""Post-installation for egg info mode."""
def run(self):
egg_info.run(self)
register_ac()
def get_extra_requires(path, add_all=True):
import re
from collections import defaultdict
try:
with open(path, encoding='utf-8') as fp:
extra_deps = defaultdict(set)
for k in fp:
if k.strip() and not k.startswith("#"):
tags = set()
if ":" in k:
rpos = k.rindex(":")
k, v = (k[0:rpos], k[rpos + 1 : len(k)])
print(f"++ {k} ===== {v}")
# k, v = k.split(":")
tags.update(vv.strip() for vv in v.split(","))
tags.add(re.split("[<=>]", k)[0])
for t in tags:
extra_deps[t].add(k)
# add tag `all` at the end
if add_all:
extra_deps['all'] = set(vv for v in extra_deps.values() for vv in v)
return extra_deps
except FileNotFoundError:
return {}
all_deps = get_extra_requires('extra-requirements.txt')
core_deps = all_deps['core']
perf_deps = all_deps['perf'].union(core_deps)
standard_deps = all_deps['standard'].union(core_deps).union(perf_deps)
# uvloop is not supported on windows
perf_deps = {
i + ";platform_system!='Windows'" if i.startswith('uvloop') else i
for i in perf_deps
}
standard_deps = {
i + ";platform_system!='Windows'" if i.startswith('uvloop') else i
for i in standard_deps
}
for k in ['all', 'devel', 'cicd']:
all_deps[k] = {
i + ";platform_system!='Windows'" if i.startswith('uvloop') else i
for i in all_deps[k]
}
# by default, final deps is the standard deps, unless specified by env otherwise
final_deps = standard_deps
# Use env var to enable a minimum installation of Marie
# MARIE_PIP_INSTALL_CORE=1 pip install marie
# MARIE_PIP_INSTALL_PERF=1 pip install marie
if os.environ.get("MARIE_PIP_INSTALL_CORE"):
final_deps = core_deps
elif os.environ.get("MARIE_PIP_INSTALL_PERF"):
final_deps = perf_deps
if sys.version_info.major == 3 and sys.version_info.minor >= 11:
for dep in list(final_deps):
if dep.startswith('grpcio'):
final_deps.remove(dep)
final_deps.add('grpcio>=1.49.0')
final_deps.add('grpcio-health-checking>=1.49.0')
final_deps.add('grpcio-reflection>=1.49.0')
extra_golang_kw = {}
ret_code = -1
try:
ret_code = subprocess.run(['go', 'version']).returncode
except Exception:
pass
is_mac_os = platform.system() == 'Darwin'
is_windows_os = platform.system() == 'Windows'
is_37 = sys.version_info.major == 3 and sys.version_info.minor == 7
if ret_code == 0 and not is_windows_os and (not is_mac_os or not is_37):
extra_golang_kw = {
'build_golang': {'root': 'jraft', 'strip': False},
'ext_modules': [
Extension(
'jraft',
['marie/serve/consensus/run.go'],
py_limited_api=True,
define_macros=[('Py_LIMITED_API', None)],
)
],
'setup_requires': ['setuptools-golang'],
}
setup(
name=pkg_name,
packages=find_packages(),
version=__version__,
include_package_data=True,
description="Python library to Integrate AI-powered features into your applications",
author="Marie AI",
author_email="hello@marieai.co",
license="Apache 2.0",
url="https://github.com/marieai/marie-ai/",
download_url="https://github.com/marieai/marie-ai/tags",
long_description=_long_description,
long_description_content_type="text/markdown",
zip_safe=False,
install_requires=list(final_deps),
extras_require=all_deps,
entry_points={
"console_scripts": [
"marie=marie_cli:main",
],
},
cmdclass={
'develop': PostDevelopCommand,
'install': PostInstallCommand,
'egg_info': PostEggInfoCommand,
},
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Unix Shell",
"Environment :: Console",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Topic :: Database :: Database Engines/Servers",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Internet :: WWW/HTTP :: Indexing/Search",
"Topic :: Scientific/Engineering :: Image Recognition",
"Topic :: Multimedia :: Video",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Software Development",
"Topic :: Software Development :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules",
],
project_urls={
"Documentation": "https://docs.marieai.co",
"Source": "https://github.com/marieai/marie-ai.git",
"Tracker": "https://github.com/marieai/marie-ai/issues",
},
keywords=(
"marie-ai ocr icr index elastic neural-network encoding "
"embedding serving docker container image video audio deep-learning mlops"
),
)