I have a class MyClass defined in my_module. MyClass has a method pickle_myself which pickles the instance of the class in question:
def pickle_myself(self, pkl_file_path):
with open(pkl_file_path, 'w+') as f:
pkl.dump(self, f, protocol=2)
I have made sure that my_module is in PYTHONPATH. In the interpreter, executing __import__('my_module') works fine:
>>> __import__('my_module')
<module 'my_module' from 'A:\my_stuff\my_module.pyc'>
However, when eventually loading the file, I get:
File "A:\Anaconda\lib\pickle.py", line 1128, in find_class
__import__(module)
ImportError: No module named my_module
Some things I have made sure of:
I have not changed the location of my_module.py (Python pickling after changing a module's directory)
I have tried to use dill instead, but still get the same error (More on python ImportError No module named)
EDIT -- A toy example that reproduces the error:
The example itself is spread over a bunch of files.
First, we have the module ball (stored in a file called ball.py):
class Ball():
def __init__(self, ball_radius):
self.ball_radius = ball_radius
def say_hello(self):
print "Hi, I'm a ball with radius {}!".format(self.ball_radius)
Then, we have the module test_environment:
import os
import ball
#import dill as pkl
import pickle as pkl
class Environment():
def __init__(self, store_dir, num_balls, default_ball_radius):
self.store_dir = store_dir
self.balls_in_environment = [ball.Ball(default_ball_radius) for x in range(num_balls)]
def persist(self):
pkl_file_path = os.path.join(self.store_dir, "test_stored_env.pkl")
with open(pkl_file_path, 'w+') as f:
pkl.dump(self, f, protocol=2)
Then, we have a module that has functions to make environments, persist them, and load them, called make_persist_load:
import os
import test_environment
#import pickle as pkl
import dill as pkl
def make_env_and_persist():
cwd = os.getcwd()
my_env = test_environment.Environment(cwd, 5, 5)
my_env.persist()
def load_env(store_path):
stored_env = None
with open(store_path, 'rb') as pkl_f:
stored_env = pkl.load(pkl_f)
return stored_env
Then we have a script to put it all together, in test_serialization.py:
import os
import make_persist_load
MAKE_AND_PERSIST = True
LOAD = (not MAKE_AND_PERSIST)
cwd = os.getcwd()
store_path = os.path.join(cwd, "test_stored_env.pkl")
if MAKE_AND_PERSIST == True:
make_persist_load.make_env_and_persist()
if LOAD == True:
loaded_env = make_persist_load.load_env(store_path)
In order to make it easy to use this toy example, I have put it all up on in a Github repository that simply needs to be cloned into your directory of choice.. Please see the README containing instructions, which I also reproduce here:
Instructions:
1) Clone repository into a directory.
2) Add repository directory to PYTHONPATH.
3) Open up test_serialization.py, and set the variable MAKE_AND_PERSIST to True. Run the script in an interpreter.
4) Close the previous interpreter instance, and start up a new one. In test_serialization.py, change MAKE_AND_PERSIST to False, and this will programmatically set LOAD to True. Run the script in an interpreter, causing ImportError: No module named test_environment.
5) By default, the test is set to use dill, instead of pickle. In order to change this, go into test_environment.py and make_persist_load.py, to change imports as required.
EDIT: after switching to dill '0.2.5.dev0', dill.detect.trace(True) output
C2: test_environment.Environment
# C2
D2: <dict object at 0x000000000A9BDAE8>
C2: ball.Ball
# C2
D2: <dict object at 0x000000000AA25048>
# D2
D2: <dict object at 0x000000000AA25268>
# D2
D2: <dict object at 0x000000000A9BD598>
# D2
D2: <dict object at 0x000000000A9BD9D8>
# D2
D2: <dict object at 0x000000000A9B0BF8>
# D2
# D2
EDIT: the toy example works perfectly well when run on Mac/Ubuntu (i.e. Unix-like systems?). It only fails on Windows.
I can tell from your question that you are probably doing something like this, with a class method that is attempting to pickle the instance of the class. It's ill-advised to do that, if you are doing that… it's much more sane to use pkl.dump external to the class instead (where pkl is pickle or dill etc). However, it can still work with this design, see below:
>>> class Thing(object):
... def pickle_myself(self, pkl_file_path):
... with open(pkl_file_path, 'w+') as f:
... pkl.dump(self, f, protocol=2)
...
>>> import dill as pkl
>>>
>>> t = Thing()
>>> t.pickle_myself('foo.pkl')
Then restarting...
Python 2.7.10 (default, Sep 2 2015, 17:36:25)
[GCC 4.2.1 Compatible Apple LLVM 5.1 (clang-503.0.40)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import dill
>>> f = open('foo.pkl', 'r')
>>> t = dill.load(f)
>>> t
<__main__.Thing object at 0x1060ff410>
If you have a much more complicated class, which I'm sure you do, then you are likely to run into trouble, especially if that class uses another file that is sitting in the same directory.
>>> import dill
>>> from bar import Zap
>>> print dill.source.getsource(Zap)
class Zap(object):
x = 1
def __init__(self, y):
self.y = y
>>>
>>> class Thing2(Zap):
... def pickle_myself(self, pkl_file_path):
... with open(pkl_file_path, 'w+') as f:
... dill.dump(self, f, protocol=2)
...
>>> t = Thing2(2)
>>> t.pickle_myself('foo2.pkl')
Then restarting…
Python 2.7.10 (default, Sep 2 2015, 17:36:25)
[GCC 4.2.1 Compatible Apple LLVM 5.1 (clang-503.0.40)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import dill
>>> f = open('foo2.pkl', 'r')
>>> t = dill.load(f)
>>> t
<__main__.Thing2 object at 0x10eca8090>
>>> t.y
2
>>>
Well… shoot, that works too. You'll have to post your code, so we can see what pattern you are using that dill (and pickle) fails for. I know having one module import another that is not "installed" (i.e. in some local directory) and expecting the serialization to "just work" doesn't for all cases.
See dill issues:
https://github.com/uqfoundation/dill/issues/128
https://github.com/uqfoundation/dill/issues/129
and this SO question:
Why dill dumps external classes by reference, no matter what?
for some examples of failure and potential workarounds.
EDIT with regard to updated question:
I don't see your issue. Running from the command line, importing from the interpreter (import test_serialization), and running the script in the interpreter (as below, and indicated in your steps 3-5) all work. That leads me to think you might be using an older version of dill?
>>> import os
>>> import make_persist_load
>>>
>>> MAKE_AND_PERSIST = False #True
>>> LOAD = (not MAKE_AND_PERSIST)
>>>
>>> cwd = os.getcwd()
>>> store_path = os.path.join(cwd, "test_stored_env.pkl")
>>>
>>> if MAKE_AND_PERSIST == True:
... make_persist_load.make_env_and_persist()
...
>>> if LOAD == True:
... loaded_env = make_persist_load.load_env(store_path)
...
>>>
EDIT based on discussion in comments:
Looks like it's probably an issue with Windows, as that seems to be the only OS the error appears.
EDIT after some work (see: https://github.com/uqfoundation/dill/issues/140):
Using this minimal example, I can reproduce the same error on Windows, while on MacOSX it still works…
# test.py
class Environment():
def __init__(self):
pass
and
# doit.py
import test
import dill
env = test.Environment()
path = "test.pkl"
with open(path, 'w+') as f:
dill.dump(env, f)
with open(path, 'rb') as _f:
_env = dill.load(_f)
print _env
However, if you use open(path, 'r') as _f, it works on both Windows and MacOSX. So it looks like the __import__ on Windows is more sensitive to file type than on non-Windows systems. Still, throwing an ImportError is weird… but this one small change should make it work.
In case someone is having same problem, I had the same problem running Python 2.7 and the problem was the pickle file created on windows while I am running Linux, what I had to do is running dos2unix which has to be downloaded first using
sudo yum install dos2unix
And then you need to convert the pickle file example
dos2unix data.p
How could I get the version defined in setup.py from my package (for --version, or other purposes)?
Interrogate version string of already-installed distribution
To retrieve the version from inside your package at runtime (what your question appears to actually be asking), you can use:
import pkg_resources # part of setuptools
version = pkg_resources.require("MyProject")[0].version
Store version string for use during install
If you want to go the other way 'round (which appears to be what other answer authors here appear to have thought you were asking), put the version string in a separate file and read that file's contents in setup.py.
You could make a version.py in your package with a __version__ line, then read it from setup.py using execfile('mypackage/version.py'), so that it sets __version__ in the setup.py namespace.
Warning about race condition during install
By the way, DO NOT import your package from your setup.py as suggested in another answer here: it will seem to work for you (because you already have your package's dependencies installed), but it will wreak havoc upon new users of your package, as they will not be able to install your package without manually installing the dependencies first.
example study: mymodule
Imagine this configuration:
setup.py
mymodule/
/ __init__.py
/ version.py
/ myclasses.py
Then imagine some usual scenario where you have dependencies and setup.py looks like:
setup(...
install_requires=['dep1','dep2', ...]
...)
And an example __init__.py:
from mymodule.myclasses import *
from mymodule.version import __version__
And for example myclasses.py:
# these are not installed on your system.
# importing mymodule.myclasses would give ImportError
import dep1
import dep2
problem #1: importing mymodule during setup
If your setup.py imports mymodule then during setup you would most likely get an ImportError. This is a very common error when your package has dependencies. If your package does not have other dependencies than the builtins, you may be safe; however this isn't a good practice. The reason for that is that it is not future-proof; say tomorrow your code needs to consume some other dependency.
problem #2: where's my __version__ ?
If you hardcode __version__ in setup.py then it may not match the version that you would ship in your module. To be consistent, you would put it in one place and read it from the same place when you need it. Using import you may get the problem #1.
solution: à la setuptools
You would use a combination of open, exec and provide a dict for exec to add variables:
# setup.py
from setuptools import setup, find_packages
from distutils.util import convert_path
main_ns = {}
ver_path = convert_path('mymodule/version.py')
with open(ver_path) as ver_file:
exec(ver_file.read(), main_ns)
setup(...,
version=main_ns['__version__'],
...)
And in mymodule/version.py expose the version:
__version__ = 'some.semantic.version'
This way, the version is shipped with the module, and you do not have issues during setup trying to import a module that has missing dependencies (yet to be installed).
The best technique is to define __version__ in your product code, then import it into setup.py from there. This gives you a value you can read in your running module, and have only one place to define it.
The values in setup.py are not installed, and setup.py doesn't stick around after installation.
What I did (for example) in coverage.py:
# coverage/__init__.py
__version__ = "3.2"
# setup.py
from coverage import __version__
setup(
name = 'coverage',
version = __version__,
...
)
UPDATE (2017): coverage.py no longer imports itself to get the version. Importing your own code can make it uninstallable, because you product code will try to import dependencies, which aren't installed yet, because setup.py is what installs them.
Your question is a little vague, but I think what you are asking is how to specify it.
You need to define __version__ like so:
__version__ = '1.4.4'
And then you can confirm that setup.py knows about the version you just specified:
% ./setup.py --version
1.4.4
I wasn't happy with these answers... didn't want to require setuptools, nor make a whole separate module for a single variable, so I came up with these.
For when you are sure the main module is in pep8 style and will stay that way:
version = '0.30.unknown'
with file('mypkg/mymod.py') as f:
for line in f:
if line.startswith('__version__'):
_, _, version = line.replace("'", '').split()
break
If you'd like to be extra careful and use a real parser:
import ast
version = '0.30.unknown2'
with file('mypkg/mymod.py') as f:
for line in f:
if line.startswith('__version__'):
version = ast.parse(line).body[0].value.s
break
setup.py is somewhat of a throwaway module so not an issue if it is a bit ugly.
Update: funny enough I've moved away from this in recent years and started using a separate file in the package called meta.py. I put lots of meta data in there that I might want to change frequently. So, not just for one value.
With a structure like this:
setup.py
mymodule/
/ __init__.py
/ version.py
/ myclasses.py
where version.py contains:
__version__ = 'version_string'
You can do this in setup.py:
import sys
sys.path[0:0] = ['mymodule']
from version import __version__
This won't cause any problem with whatever dependencies you have in your mymodule/__init__.py
Create a file in your source tree, e.g. in yourbasedir/yourpackage/_version.py . Let that file contain only a single line of code, like this:
__version__ = "1.1.0-r4704"
Then in your setup.py, open that file and parse out the version number like this:
verstr = "unknown"
try:
verstrline = open('yourpackage/_version.py', "rt").read()
except EnvironmentError:
pass # Okay, there is no version file.
else:
VSRE = r"^__version__ = ['\"]([^'\"]*)['\"]"
mo = re.search(VSRE, verstrline, re.M)
if mo:
verstr = mo.group(1)
else:
raise RuntimeError("unable to find version in yourpackage/_version.py")
Finally, in yourbasedir/yourpackage/__init__.py import _version like this:
__version__ = "unknown"
try:
from _version import __version__
except ImportError:
# We're running in a tree that doesn't have a _version.py, so we don't know what our version is.
pass
An example of code that does this is the "pyutil" package that I maintain. (See PyPI or google search -- stackoverflow is disallowing me from including a hyperlink to it in this answer.)
#pjeby is right that you shouldn't import your package from its own setup.py. That will work when you test it by creating a new Python interpreter and executing setup.py in it first thing: python setup.py, but there are cases when it won't work. That's because import youpackage doesn't mean to read the current working directory for a directory named "yourpackage", it means to look in the current sys.modules for a key "yourpackage" and then to do various things if it isn't there. So it always works when you do python setup.py because you have a fresh, empty sys.modules, but this doesn't work in general.
For example, what if py2exe is executing your setup.py as part of the process of packaging up an application? I've seen a case like this where py2exe would put the wrong version number on a package because the package was getting its version number from import myownthing in its setup.py, but a different version of that package had previously been imported during the py2exe run. Likewise, what if setuptools, easy_install, distribute, or distutils2 is trying to build your package as part of a process of installing a different package that depends on yours? Then whether your package is importable at the time that its setup.py is being evaluated, or whether there is already a version of your package that has been imported during this Python interpreter's life, or whether importing your package requires other packages to be installed first, or has side-effects, can change the results. I've had several struggles with trying to re-use Python packages which caused problems for tools like py2exe and setuptools because their setup.py imports the package itself in order to find its version number.
By the way, this technique plays nicely with tools to automatically create the yourpackage/_version.py file for you, for example by reading your revision control history and writing out a version number based on the most recent tag in revision control history. Here is a tool that does that for darcs: http://tahoe-lafs.org/trac/darcsver/browser/trunk/README.rst and here is a code snippet which does the same thing for git: http://github.com/warner/python-ecdsa/blob/0ed702a9d4057ecf33eea969b8cf280eaccd89a1/setup.py#L34
We wanted to put the meta information about our package pypackagery in __init__.py, but could not since it has third-party dependencies as PJ Eby already pointed out (see his answer and the warning regarding the race condition).
We solved it by creating a separate module pypackagery_meta.py that contains only the meta information:
"""Define meta information about pypackagery package."""
__title__ = 'pypackagery'
__description__ = ('Package a subset of a monorepo and '
'determine the dependent packages.')
__url__ = 'https://github.com/Parquery/pypackagery'
__version__ = '1.0.0'
__author__ = 'Marko Ristin'
__author_email__ = 'marko.ristin#gmail.com'
__license__ = 'MIT'
__copyright__ = 'Copyright 2018 Parquery AG'
then imported the meta information in packagery/__init__.py:
# ...
from pypackagery_meta import __title__, __description__, __url__, \
__version__, __author__, __author_email__, \
__license__, __copyright__
# ...
and finally used it in setup.py:
import pypackagery_meta
setup(
name=pypackagery_meta.__title__,
version=pypackagery_meta.__version__,
description=pypackagery_meta.__description__,
long_description=long_description,
url=pypackagery_meta.__url__,
author=pypackagery_meta.__author__,
author_email=pypackagery_meta.__author_email__,
# ...
py_modules=['packagery', 'pypackagery_meta'],
)
You must include pypackagery_meta into your package with py_modules setup argument. Otherwise, you can not import it upon installation since the packaged distribution would lack it.
This should also work, using regular expressions and depending on the metadata fields to have a format like this:
__fieldname__ = 'value'
Use the following at the beginning of your setup.py:
import re
main_py = open('yourmodule.py').read()
metadata = dict(re.findall("__([a-z]+)__ = '([^']+)'", main_py))
After that, you can use the metadata in your script like this:
print 'Author is:', metadata['author']
print 'Version is:', metadata['version']
Simple and straight, create a file called source/package_name/version.py with the following contents:
#!/usr/bin/env python3
# -*- coding: UTF-8 -*-
__version__ = "2.6.9"
Then, on your file source/package_name/__init__.py, you import the version for other people to use:
#!/usr/bin/env python3
# -*- coding: UTF-8 -*-
from .version import __version__
Now, you can put this on setup.py
#!/usr/bin/env python3
# -*- coding: UTF-8 -*-
import re
import sys
try:
filepath = 'source/package_name/version.py'
version_file = open( filepath )
__version__ ,= re.findall( '__version__ = "(.*)"', version_file.read() )
except Exception as error:
__version__ = "0.0.1"
sys.stderr.write( "Warning: Could not open '%s' due %s\n" % ( filepath, error ) )
finally:
version_file.close()
Tested this with Python 2.7, 3.3, 3.4, 3.5, 3.6 and 3.7 on Linux, Windows and Mac OS. I used on my package which has Integration and Unit Tests for all theses platforms. You can see the results from .travis.yml and appveyor.yml here:
https://travis-ci.org/evandrocoan/debugtools/builds/527110800
https://ci.appveyor.com/project/evandrocoan/pythondebugtools/builds/24245446
An alternate version is using context manager:
#!/usr/bin/env python3
# -*- coding: UTF-8 -*-
import re
import sys
try:
filepath = 'source/package_name/version.py'
with open( filepath ) as file:
__version__ ,= re.findall( '__version__ = "(.*)"', file.read() )
except Exception as error:
__version__ = "0.0.1"
sys.stderr.write( "Warning: Could not open '%s' due %s\n" % ( filepath, error ) )
You can also be using the codecs module to handle unicode errors both on Python 2.7 and 3.6
#!/usr/bin/env python3
# -*- coding: UTF-8 -*-
import re
import sys
import codecs
try:
filepath = 'source/package_name/version.py'
with codecs.open( filepath, 'r', errors='ignore' ) as file:
__version__ ,= re.findall( '__version__ = "(.*)"', file.read() )
except Exception as error:
__version__ = "0.0.1"
sys.stderr.write( "Warning: Could not open '%s' due %s\n" % ( filepath, error ) )
If you are writing a Python module 100% in C/C++ using Python C Extensions, you can do the same thing, but using C/C++ instead of Python.
On this case, create the following setup.py:
#!/usr/bin/env python3
# -*- coding: UTF-8 -*-
import re
import sys
import codecs
from setuptools import setup, Extension
try:
filepath = 'source/version.h'
with codecs.open( filepath, 'r', errors='ignore' ) as file:
__version__ ,= re.findall( '__version__ = "(.*)"', file.read() )
except Exception as error:
__version__ = "0.0.1"
sys.stderr.write( "Warning: Could not open '%s' due %s\n" % ( filepath, error ) )
setup(
name = 'package_name',
version = __version__,
package_data = {
'': [ '**.txt', '**.md', '**.py', '**.h', '**.hpp', '**.c', '**.cpp' ],
},
ext_modules = [
Extension(
name = 'package_name',
sources = [
'source/file.cpp',
],
include_dirs = ['source'],
)
],
)
Which reads the version from the file version.h:
const char* __version__ = "1.0.12";
But, do not forget to create the MANIFEST.in to include the version.h file:
include README.md
include LICENSE.txt
recursive-include source *.h
And it is integrated into the main application with:
#include <Python.h>
#include "version.h"
// create the module
PyMODINIT_FUNC PyInit_package_name(void)
{
PyObject* thismodule;
...
// https://docs.python.org/3/c-api/arg.html#c.Py_BuildValue
PyObject_SetAttrString( thismodule, "__version__", Py_BuildValue( "s", __version__ ) );
...
}
References:
python open file error
Define a global in a Python module from a C API
How to include package data with setuptools/distribute?
https://github.com/lark-parser/lark/blob/master/setup.py#L4
How to use setuptools packages and ext_modules with the same name?
Is it possible to include subdirectories using dist utils (setup.py) as part of package data?
To avoid importing a file (and thus executing its code) one could parse it and recover the version attribute from the syntax tree:
# assuming 'path' holds the path to the file
import ast
with open(path, 'rU') as file:
t = compile(file.read(), path, 'exec', ast.PyCF_ONLY_AST)
for node in (n for n in t.body if isinstance(n, ast.Assign)):
if len(node.targets) == 1:
name = node.targets[0]
if isinstance(name, ast.Name) and \
name.id in ('__version__', '__version_info__', 'VERSION'):
v = node.value
if isinstance(v, ast.Str):
version = v.s
break
if isinstance(v, ast.Tuple):
r = []
for e in v.elts:
if isinstance(e, ast.Str):
r.append(e.s)
elif isinstance(e, ast.Num):
r.append(str(e.n))
version = '.'.join(r)
break
This code tries to find the __version__ or VERSION assignment at the top level of the module return is string value. The right side can be either a string or a tuple.
There's a thousand ways to skin a cat -- here's mine:
# Copied from (and hacked):
# https://github.com/pypa/virtualenv/blob/develop/setup.py#L42
def get_version(filename):
import os
import re
here = os.path.dirname(os.path.abspath(__file__))
f = open(os.path.join(here, filename))
version_file = f.read()
f.close()
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.")
A lot of the other answers are outdated, I believe the standard way to get version information from an installed python 3.10 package is by using importlib.metadata as of PEP-0566
Official docs: https://docs.python.org/3.10/library/importlib.metadata.html
from importlib.metadata import version
VERSION_NUM = version("InstalledPackageName")
This is simple, clean, and no fuss.
This won't work if you are doing something weird in a script that runs during package installation, but if all you are doing is getting the version number for a version check to show the user in through a CLI --help command, about box, or anything else where your package is already installed and just needs the installed version number this seems like the best solution to me.
Cleaning up https://stackoverflow.com/a/12413800 from #gringo-suave:
from itertools import ifilter
from os import path
from ast import parse
with open(path.join('package_name', '__init__.py')) as f:
__version__ = parse(next(ifilter(lambda line: line.startswith('__version__'),
f))).body[0].value.s
Now this is gross and needs some refining (there may even be an uncovered member call in pkg_resources that I missed), but I simply do not see why this doesn't work, nor why no one has suggested it to date (Googling around has not turned this up)...note that this is Python 2.x, and would require requiring pkg_resources (sigh):
import pkg_resources
version_string = None
try:
if pkg_resources.working_set is not None:
disto_obj = pkg_resources.working_set.by_key.get('<my pkg name>', None)
# (I like adding ", None" to gets)
if disto_obj is not None:
version_string = disto_obj.version
except Exception:
# Do something
pass
deploy package to server and file naming convention for indices packages :
example for pip dynamic version conversion:
win:
test_pkg-1.0.0-cp36-cp36m-win_amd64.whl
test_pkg-1.0.0-py3.6-win-amd64.egg
mac:
test_pkg-1.0.0-py3.7-macosx-10.12-x86_64.egg
test_pkg-1.0.0-py3.7-macosx-10.12-x86_64.whl
linux:
test_pkg-1.0.0-cp36-cp36m-linux_x86_64.whl
from setuptools_scm import get_version
def _get_version():
dev_version = str(".".join(map(str, str(get_version()).split("+")[0]\
.split('.')[:-1])))
return dev_version
Find the sample setup.py calls the dynamic pip version matching from git commit
setup(
version=_get_version(),
name=NAME,
description=DESCRIPTION,
long_description=LONG_DESCRIPTION,
classifiers=CLASSIFIERS,
# add few more for wheel wheel package ...conversion
)
For what is worth, I wrote getversion to solve this issue for one of our projects' needs. It relies on a sequence of PEP-compliant strategies to return the version for a module, and adds some strategies for development mode (git scm).
Example:
from getversion import get_module_version
# Get the version of an imported module
from xml import dom
version, details = get_module_version(dom)
print(version)
Yields
3.7.3.final.0
Why was this version found ? You can understand it from the details:
> print(details)
Version '3.7.3.final.0' found for module 'xml.dom' by strategy 'get_builtin_module_version', after the following failed attempts:
- Attempts for module 'xml.dom':
- <get_module_version_attr>: module 'xml.dom' has no attribute '__version__'
- Attempts for module 'xml':
- <get_module_version_attr>: module 'xml' has no attribute '__version__'
- <get_version_using_pkgresources>: Invalid version number: None
- <get_builtin_module_version>: SUCCESS: 3.7.3.final.0
More can be found in the documentation.
I am using an environment variable as below
VERSION=0.0.0 python setup.py sdist bdist_wheel
In setup.py
import os
setup(
version=os.environ['VERSION'],
...
)
For consistency check with packer version, I am using below script.
PKG_VERSION=`python -c "import pkg; print(pkg.__version__)"`
if [ $PKG_VERSION == $VERSION ]; then
python setup.py sdist bdist_wheel
else
echo "Package version differs from set env variable"
fi
I created the regex pattern to find version number from setup.cfg ?:[\s]+|[\s])?[=](?:[\s]+|[\s])?(.*)
import re
with open("setup.cfg", "r") as _file:
data = _file.read()
print(re.findall(r"\nversion(?:[\s]+|[\s])?[=](?:[\s]+|[\s])?(.*)", data))
# -> ['1.1.0']
You can add this code to your __init__.py:
VERSION = (0, 3, 0)
def get_version():
"""Return the VERSION as a string.
For example, if `VERSION == (0, 10, 7)`, return '0.10.7'.
"""
return ".".join(map(str, VERSION))
__version__ = get_version()
And add this to the setup.py:
def get_version(version_tuple):
"""Return the version tuple as a string, e.g. for (0, 10, 7),
return '0.10.7'.
"""
return ".".join(map(str, version_tuple))
init = os.path.join(os.path.dirname(__file__), "your_library", "__init__.py")
version_line = list(filter(lambda line: line.startswith("VERSION"), open(init)))[0]
VERSION = get_version(eval(version_line.split("=")[-1]))
And finally, you can add the version=VERSION, line to the setup:
setup(
name="your_library",
version=VERSION,
)
I've solved this issue in the following way:
Created a version.py inside my module:
setup.py
mymodule/
/ __init__.py
/ version.py
/ myclasses.py
version.py
__version__ = '1.0.0'
setup.py
import sys
sys.path.insert(0, ("./mymodule"))
from version import __version__
I've avoided dependency this way. Of course, I'was inspired by many answers here.
Thank you!