I have a structure of the directory as such with foobar and alphabet data directories together with the code something.py:
\mylibrary
\packages
\foobar
foo.zip
bar.zip
\alphabet
abc.zip
xyz.zip
something.py
setup.py
And the goal is such that users can pip install the module as such:
pip install mylibrary[alphabet]
And that'll only include the data from the packages/alphabet/* data and the python code. Similar behavior should be available for pip install mylibrary[foobar].
If the user installs without the specification:
pip install mylibrary
Then it'll include all the data directories under packages/.
Currently, I've tried writing the setup.py with Python3.5 as such:
import glob
from setuptools import setup, find_packages
setup(
name = 'mylibrary',
packages = ['packages'],
package_data={'packages':glob.glob('packages' + '/**/*.txt', recursive=True)},
)
That will create a distribution with all the data directories when users do pip install mylibrary.
How should I change the setup.py such that specific pip installs like pip install mylibrary[alphabet] is possible?
Firs you have to package and publish alphabet and foobar as a separate packages as pip install mylibrary[alphabet] means
pip install mylibrary
pip install alphabet
After that add alphabet and foobar as extras:
setup(
…,
extras = {
'alphabet': ['alphabet'],
'foobar': ['foobar'],
}
)
The keys in the dictionary are the names used in pip install mylibrary[EXTRA_NAME], the values are a list of package names that will be installed from PyPI.
PS. And no, you cannot use extras to install some data files that are not available as packages from PyPI.
Related
I've read a discussion where a suggestion was to use the requirements.txt inside the setup.py file to ensure the correct installation is available on multiple deployments without having to maintain both a requirements.txt and the list in setup.py.
However, when I'm trying to do an installation via pip install -e ., I get an error:
Obtaining file:///Users/myuser/Documents/myproject
Processing /home/ktietz/src/ci/alabaster_1611921544520/work
ERROR: Could not install packages due to an OSError: [Errno 2] No such file or directory:
'/System/Volumes/Data/home/ktietz/src/ci/alabaster_1611921544520/work'
It looks like pip is trying to look for packages that are available on pip (alabaster) on my local machine. Why? What am I missing here? Why isn't pip looking for the required packages on the PyPi server?
I have done it before the other way around, maintaining the setup file and not the requirements file. For the requirements file, just save it as:
*
and for setup, do
from distutils.core import setup
from setuptools import find_packages
try:
from Module.version import __version__
except ModuleNotFoundError:
exec(open("Module/version.py").read())
setup(
name="Package Name",
version=__version__,
packages=find_packages(),
package_data={p: ["*"] for p in find_packages()},
url="",
license="",
install_requires=[
"numpy",
"pandas"
],
python_requires=">=3.8.0",
author="First.Last",
author_email="author#company.com",
description="Description",
)
For reference, my version.py script looks like:
__build_number__ = "_LOCAL_"
__version__ = f"1.0.{__build_number__}"
Which Jenkins is replacing the build_number with a tag
This question consists of two separate questions, for the rather philosopihc choice of how to arrange setup requirements is actually unrelated to the installation error that you are experiencing.
First about the error: It looks like the project you are trying to install depends on another library (alabaster) of which you apparently also did an editable install using pip3 install -e . that points to this directory:
/home/ktietz/src/ci/alabaster_1611921544520/work
What the error tells you is that the directory where the install is supposed to be located does not exist anymore. You should only install your project itself in editable mode, but the dependencies should be installed into a classical system directory, i. e. without the option -e.
To clean up, I would suggest that you do the following:
# clean up references to the broken editable install
pip3 uninstall alabaster
# now do a proper non-editable install
pip3 install alabaster
Concerning the question how to arrange setup requirements, you should primarily use the install_requires and extras_require options of setuptools:
# either in setup.py
setuptools.setup(
install_requires = [
'dep1>=1.2',
'dep2>=2.4.1',
]
)
# or in setup.cfg
[options]
install_requires =
dep1>=1.2
dep2>=2.4.1
[options.extras_require]
extra_deps_a =
dep3
dep4>=4.2.3
extra_deps_b =
dep5>=5.2.1
Optional requirements can be organised in groups. To include such an extra group with the install, you can do pip3 install .[extra_deps_name].
If you wish to define specific dependency environments with exact versions (e. g. for Continuous Integration), you may use requirements.txt files in addition, but the general dependency and version constraint definitions should be done in setup.cfg or setup.py.
This is an extension of SO setup.py ignores full path dependencies, instead looks for "best match" in pypi
I am trying to write setup.py to install a proprietary package from a .tar.gz file on an internal web site. Unfortunately for me the prop package name duplicates a public package in the public PyPI, so I need to force install of the proprietary package at a specific version. I'm building a docker image from a Debian-Buster base image, so pip, setuptools and tox are all freshly installed, the image brings python 3.8 and pip upgrades itself to version 21.2.4.
Solution 1 - dependency_links
I followed the instructions at the post linked above to put the prop package in install_requires and dependency_links. Here are the relevant lines from my setup.py:
install_requires=["requests", "proppkg==70.1.0"],
dependency_links=["https://site.mycompany.com/path/to/proppkg-70.1.0.tar.gz#egg=proppkg-70.1.0"]
Installation is successful in Debian-Buster if I run python3 setup.py install in my package directory. I see the proprietary package get downloaded and installed.
Installation fails if I run pip3 install . also tox (version 3.24.4) fails similarly. In both cases, pip shows a message "Looking in indexes" then fails with "ERROR: Could not find a version that satisfies the requirement".
Solution 2 - PEP 508
Studying SO answer pip ignores dependency_links in setup.py which states that dependency_links is deprecated, I started over, revised setup.py to have:
install_requires=[
"requests",
"proppkg # https://site.mycompany.com/path/to/proppkg-70.1.0.tar.gz#egg=proppkg-70.1.0"
],
Installation is successful in Debian-Buster if I run pip3 install . in my package directory. Pip shows a message "Looking in indexes" but still downloads and installs the proprietary package successfully.
Installation fails in Debian-Buster if I run python3 setup.py install in my package directory. I see these messages:
Searching for proppkg# https://site.mycompany.com/path/to/proppkg-70.1.0.tar.gz#egg=proppkg-70.1.0
..
Reading https://pypi.org/simple/proppkg/
..
error: Could not find suitable distribution for Requirement.parse(...).
Tox also fails in this scenario as it installs dependencies.
Really speculating now, it almost seems like there's an ordering issue. Tox invokes pip like this:
python -m pip install --exists-action w .tox/.tmp/package/1/te-0.3.5.zip
In that output I see "Collecting proppkg# https://site.mycompany.com/path/to/proppkg-70.1.0.tar.gz#egg=proppkg-70.1.0" as the first step. That install fails because it fails to import package requests. Then tox continues collecting other dependencies. Finally tox reports as its last step "Collecting requests" (and that succeeds). Do I have to worry about ordering of install steps?
I'm starting to think that maybe the proprietary package is broken. I verified that the prop package setup.py has requests in its install_requires entry. Not sure what else to check.
Workaround solution
My workaround is installing the proprietary package in the docker image as a separate step before I install my own package, just by running pip3 install https://site.mycompany.com/path/to/proppkg-70.1.0.tar.gz. The setup.py has the PEP508 URL in install_requires. Then pip and tox find the prop package in the pip cache, and work fine.
Please suggest what to try for the latest pip and tox, or if this is as good as it gets, thanks in advance.
Update - add setup.py
Here's a (slightly sanitized) version of my package's setup.py
from setuptools import setup, find_packages
def get_version():
"""
read version string
"""
version_globals = {}
with open("te/version.py") as fp:
exec(fp.read(), version_globals)
return version_globals['__version__']
setup(
name="te",
version=get_version(),
packages=find_packages(exclude=["tests.*", "tests"]),
author="My Name",
author_email="email#mycompany.com",
description="My Back-End Server",
entry_points={"console_scripts": [
"te-be=te.server:main"
]},
python_requires=">=3.7",
install_requires=["connexion[swagger-ui]",
"Flask",
"gevent",
"redis",
"requests",
"proppkg # https://site.mycompany.com/path/to/proppkg-70.1.0.tar.gz#egg=proppkg-70.1.0"
],
package_data={"te": ["openapi_te.yml"]},
include_package_data=True, # read MANIFEST.in
)
I'm building a new PyPI package based on an existing open source project using setuptools and add some code modifications (they are not the same).
Example:
opensource-custom=2.13.1
Since this project requires dependencies that will look for opensource
what options can I pass to my setup.py when building my wheel files so when I do pip freeze/pip list I can see both?
opensource-custom=2.13.1
opensource=2.13.0
An example of this scenario is intel-numpy if you do a pip install of it, it will generate a copy of numpy.
>pip install intel-numpy
>pip freeze
icc-rt==2019.0
intel-numpy==1.15.1
intel-openmp==2019.0
mkl==2019.0
mkl-fft==1.0.6
mkl-random==1.0.1.1
numpy==1.15.1
tbb==2019.0
tbb4py==2019.0
It sounds like you want to make opensource a dependency of opensource-custom. To do this, you can specify the install_requires parameter in setup.py:
from setuptools import setup
setup(
name='opensource-custom',
install_requires=[
'opensource',
],
...
)
See https://packaging.python.org/guides/distributing-packages-using-setuptools/#install-requires
I'm using this package called Dulwich. While developing, I install it like this:
pip install dulwich --global-option="--pure"
I want to add dulwich as a dependency to the setup.py file for my own package, but i'm not sure how to get it to use that pure flag. If my dependencies just looks like this:
DEPENDENCIES = [
'dulwich',
]
setup(
install_requires=DEPENDENCIES,
...
)
it will fail. I've tried all variations of adding --pure and --global-options but they all fail with errors like:
'install_requires' must be a string or list of strings containing valid project/version requirement specifiers; Invalid requirement, parse error at "'--pure'"
How am I supposed to correctly add this package as a dependency? The end goal is that I can put my package on PyPi, so that when someone runs
pip install my_package
it will automatically run the equivalent of pip install dulwich --global-option="--pure" as well
I want to use setuptools to create a package consisting of two files: foo.py (script) and foo.conf.
Then I want to publish the package on my devpi-server and then install the package using pip.
Suppose I that initially I have my current working directory clean
$ ls -l
total 0
Then I issue pip install (or download?) command
$ pip install -i http://mydevpi.server foo
And get a dir with my two files created
$ tree
.
|
foo
|
|\_ foo.py
|
\_ foo.conf
So questions are:
what setuptools configuration should I use?
what exact pip command should I use to install the package the way I want? Will pip install -i http://mydevpi.server --target=. do the trick?
First write somethings as setup.py in foo directory like:
import setuptools
setuptools.setup(
name='foo_pip',
version='1',
packages=[''],
url='1',
license='1',
author='1',
author_email='1',
description='1'
)
(You can use distutils or setuptools)
Then python setup.py bdist_wheel -d TARGET and there will be a whl file in target directory, copy the path.
You can now install using pip install the_wheel_file_path --prefix="the_path_to_install"
Something like this
Processing .../TARGET/foo_pip-1-py2-none-any.whl
Installing collected packages: foo-pip
Successfully installed foo-pip-1
Then use it by import foo