Files
dvc/dvc/__init__.py
T
2019-01-16 14:12:19 +02:00

71 lines
2.2 KiB
Python

"""
DVC
----
Make your data science projects reproducible and shareable.
"""
import os
import warnings
VERSION_BASE = '0.23.2'
__version__ = VERSION_BASE
PACKAGEPATH = os.path.abspath(os.path.dirname(__file__))
HOMEPATH = os.path.dirname(PACKAGEPATH)
VERSIONPATH = os.path.join(PACKAGEPATH, 'version.py')
def _update_version_file():
"""Dynamically update version file."""
from git import Repo
from git.exc import InvalidGitRepositoryError
try:
repo = Repo(HOMEPATH)
except InvalidGitRepositoryError:
return __version__
sha = repo.head.object.hexsha
short_sha = repo.git.rev_parse(sha, short=6)
dirty = '.mod' if repo.is_dirty() else ''
ver = '{}+{}{}'.format(__version__, short_sha, dirty)
# Write a helper file, that will be installed with the package
# and will provide a true version of the installed dvc
with open(VERSIONPATH, 'w+') as fobj:
fobj.write('# AUTOGENERATED by dvc/__init__.py\n')
fobj.write('version = "{}"\n'.format(ver))
return ver
def _remove_version_file():
"""Remove version.py so that it doesn't get into the release."""
if os.path.exists(VERSIONPATH):
os.unlink(VERSIONPATH)
if os.path.exists(os.path.join(HOMEPATH, 'setup.py')):
# dvc is run directly from source without installation or
# __version__ is called from setup.py
if os.getenv('APPVEYOR_REPO_TAG', '').lower() != 'true' \
and os.getenv('TRAVIS_TAG', '') == '':
__version__ = _update_version_file()
else: # pragma: no cover
_remove_version_file()
else: # pragma: no cover
# dvc was installed with pip or something. Hopefully we have our
# auto-generated version.py to help us provide a true version
from dvc.version import version
__version__ = version
VERSION = __version__
# Ignore numpy's runtime warnings: https://github.com/numpy/numpy/pull/432.
# We don't directly import numpy, but our dependency networkx does, causing
# these warnings in some environments. Luckily these warnings are benign and
# we can simply ignore them so that they don't show up when you are using dvc.
warnings.filterwarnings("ignore", message="numpy.dtype size changed")
warnings.filterwarnings("ignore", message="numpy.ufunc size changed")