Installing with pip, I can write the following requirements.txt file:
git+https://repo#branch#egg=foo&subdirectory=this/bar/foo
numpy
And successfully install the requirements file:
python3 -m pip install -r requirements.tx
However, I have co-located in the directory a setup.py script that lists:
setuptools.setup(
...
install_requires = get_lines('requirements.txt'),
...
)
And installing this submodule using pip involves pip running setup.py...which fails to handle the module link:
git+https://github.com/repo#branch#egg=foo&subdirectory=this/bar/foo
I can see a lot of ways around this, but it seems like there should be one non-ambiguous way to do this which changes as little as possible in the setup.py script.
Is there such a way?
You probably need to change the line in requirements.txt to something like:
foo # git+https://repo#branch#egg=foo&subdirectory=this/bar/foo
References:
https://pip.pypa.io/en/stable/reference/pip_install/#requirement-specifiers
https://www.python.org/dev/peps/pep-0440/#direct-references
Although I am not entirely sure it will work. There might be subtle differences between the notations accepted in requirements.txt files, pip directly and setuptools. In particular I do not know how well things like egg and subdirectory are supported.
Advices:
Avoid calling python setup.py install or python setup.py develop from now on, and make sure to call python -m pip install . or python -m pip install --editable . instead.
I do consider reading requirements.txt from within setup.py as a red flag (or at least yellow). The contents of install_requires of setuptools and requirements.txt usually serve different purposes.
I want to create a python package which will be cloned from its git repo when a build runs, so I will have the source inside the build agent. I would then like to run the python package as a command line tool, the package is called environment_manager.
Initially I thought I would follow a tutorial for creating a simple setup.py although this has proved to be a lot more difficult than I thought it would be and whenever I run python setup.py install --force I am not able to use my installed package, generally either module not found or the command is not recognised when I type it.
I have found that if I simply install with pip install . then I am actually able to use the tool from the command line and it works. I don't understand what the difference is, or why this only works when doing the pip install method.
Below is the setup.py file, I cannot see what is wrong with it:
from setuptools import setup, find_packages, find_namespace_packages
import pathlib
here = pathlib.Path(__file__).parent.resolve()
# Get the long description from the README file
long_description = (here / 'README.MD').read_text(encoding='utf-8')
setup(
name='environment_manager',
version='1.0.0',
package_dir={'': 'src'},
packages=find_namespace_packages(where='src', include='environment_manager.*'),
python_requires='>=3.8, <4',
install_requires=['boto3', 'botocore', 'pyyaml'],
extras_require={
'dev': ['pre-commit', 'black', 'pylint'],
'test': ['pytest', 'pytest-mock', 'coverage'],
},
entry_points={
'console_scripts': [
'environment-manager=environment_manager.environment_controller:main',
],
}
)
My project structure looks like:
environment_manager
/src
conf/
environment_manager/
environment_controller.py
config_parser.py
command.py
test/
unit_tests.py
I thought the correct way to install and run the tool from the command line was to use setup.py and setuptools but it seems like it is a lot easier and actually works if I just install it with pip.
Is installing it with pip over setup.py correct (as both ways the package appears when I type pip list) and are there any issues with my setup.py script? The script was taken from the pypa sample project and I removed most of what I didnt need.
setup.py is a python file, which usually tells you that the module/package you are about to install has been packaged and distributed with Distutils, which is the standard for distributing Python Modules. This allows you to easily install Python packages. Often it's enough to write: $ pip install .
In other words setup.py is a packaging file while pip is a package manager, therefore you should have setup.py file to be able to install with pip.
pip is a package manager which helps install, manage, and uninstall Python packages. It searches for them on PyPI, downloads them, and then runs their setup.py script.
Since you mentioned that you can run your binary executable after a pip install, but not a setup.py install, it is likely that each of them is installing the binary to separate locations.
One thing I would check is that you are using python and pip from the same version of Python, e.g:
% python --version
Python 3.8.6
% pip --version
pip 20.1.1 from /usr/lib/python3.8/site-packages/pip (python 3.8)
If these have different Python versions listed, they are likely installing to two separate directories - one in your PATH environment variable, and one which is not.
Next, I would check pip list -v after each install method, as this should list a Location header telling you where the package has been installed.
I understand that it is possible to install packages from git and pip using the command below.
pip install git+git://github.com/author/package.git#master
So basically what this new command should do is that,
It should install all the packages necessary in my local just by using names or more precisely without me uploading the full package to git, only their names.
So Basically, I am trying to replicate this command with git.
pip install -r requirements.txt
Is this even possible? Has anyone done it?
Examples: Requirements.txt contain :
pandas==1.0.4
matplotlib==3.2.1
numpy=1.18.5
So something in the git with setup.py along the lines of it to install that package, if possible.
import pip
with open('requirements.txt','r') as fh:
for line in fh.readlines():
pip install line
Still not sure I fully understand, what is the goal here...
Maybe you want to somehow have the requirements.txt file in a git repository and have it installed with pip. The goal being to have the requirements version controlled.
I believe you could achieve something to that effect with some kind of fake Python package that has no code, only dependencies.
Place the following 2 files in a MyDependencies git repository:
setup.py
#!/usr/bin/env python3
import pathlib
import pkg_resources
import setuptools
with pathlib.Path('requirements.txt').open() as requirements_txt:
install_requires = [
str(requirement)
for requirement
in pkg_resources.parse_requirements(requirements_txt)
]
setuptools.setup(
name='MyDependencies',
version='0.0.0',
install_requires=install_requires,
)
requirements.txt
pandas==1.0.4
matplotlib==3.2.1
numpy=1.18.5
Then the dependencies can be installed like so:
path/to/pythonX.Y -m pip install --upgrade git+git://github.com/username/MyDependencies.git#master
If I am not mistaken, this should do the trick.
References:
https://stackoverflow.com/a/59971236/11138259
According to the setuptools documentation, setuptools version 30.3.0 (December 8, 2016) "allows using configuration files (usually setup.cfg) to define package’s metadata and other options which are normally supplied to setup() function". Similar to running pip install -r requirements.txt to install Python packages from a requirements file, is there a way to ask pip to install the packages listed in the install_requires option of a setup.cfg configuration file?
If you have all your dependencies and other metadata defined in setup.cfg, just create a minimal setup.py file in the same directory that looks like this:
from setuptools import setup
setup()
From now on you can run pip install and it will install all the dependencies defined in setup.cfg as if they were declared in setup.py.
If your setup.cfg belongs to a well-formed package, you can do e.g.:
pip install -e .[tests,dev]
(install this package in place, with given extras)
afterwards you can pip uninstall that package by name, leaving deps in place.
Here is my workaround. I use the following command to parse the install_requires element from the setup.cfg file and install the packages using pip.
python3 -c "import configparser; c = configparser.ConfigParser(); c.read('setup.cfg'); print(c['options']['install_requires'])" | xargs pip install
Here is a more readable version of the Python script before the pipe in the above command line.
import configparser
c = configparser.ConfigParser()
c.read('setup.cfg')
print(c['options']['install_requires'])
No, pip does not currently have facilities for parsing requirements from setup.cfg. It will only install dependencies along with the main package(s) provided in setup.py.
Is it possible to install packages using pip from the local filesystem?
I have run python setup.py sdist for my package, which has created the appropriate tar.gz file. This file is stored on my system at /srv/pkg/mypackage/mypackage-0.1.0.tar.gz.
Now in a virtual environment I would like to install packages either coming from pypi or from the specific local location /srv/pkg.
Is this possible?
PS
I know that I can specify pip install /srv/pkg/mypackage/mypackage-0.1.0.tar.gz. That will work, but I am talking about using the /srv/pkg location as another place for pip to search if I typed pip install mypackage.
What about::
pip install --help
...
-e, --editable <path/url> Install a project in editable mode (i.e. setuptools
"develop mode") from a local project path or a VCS url.
eg, pip install -e /srv/pkg
where /srv/pkg is the top-level directory where 'setup.py' can be found.
I am pretty sure that what you are looking for is called --find-links option.
You can do
pip install mypackage --no-index --find-links file:///srv/pkg/mypackage
From the installing-packages page you can simply run:
pip install /srv/pkg/mypackage
where /srv/pkg/mypackage is the directory, containing setup.py.
Additionally1, you can install it from the archive file:
pip install ./mypackage-1.0.4.tar.gz
1
Although noted in the question, due to its popularity, it is also included.
I am installing pyfuzzybut is is not in PyPI; it returns the message: No matching distribution found for pyfuzzy.
I tried the accepted answer
pip install --no-index --find-links=file:///Users/victor/Downloads/pyfuzzy-0.1.0 pyfuzzy
But it does not work either and returns the following error:
Ignoring indexes: https://pypi.python.org/simple
Collecting pyfuzzy
Could not find a version that satisfies the requirement pyfuzzy (from versions: )
No matching distribution found for pyfuzzy
At last , I have found a simple good way there: https://pip.pypa.io/en/latest/reference/pip_install.html
Install a particular source archive file.
$ pip install ./downloads/SomePackage-1.0.4.tar.gz
$ pip install http://my.package.repo/SomePackage-1.0.4.zip
So the following command worked for me:
pip install ../pyfuzzy-0.1.0.tar.gz.
Hope it can help you.
This is the solution that I ended up using:
import pip
def install(package):
# Debugging
# pip.main(["install", "--pre", "--upgrade", "--no-index",
# "--find-links=.", package, "--log-file", "log.txt", "-vv"])
pip.main(["install", "--upgrade", "--no-index", "--find-links=.", package])
if __name__ == "__main__":
install("mypackagename")
raw_input("Press Enter to Exit...\n")
I pieced this together from pip install examples as well as from Rikard's answer on another question. The "--pre" argument lets you install non-production versions. The "--no-index" argument avoids searching the PyPI indexes. The "--find-links=." argument searches in the local folder (this can be relative or absolute). I used the "--log-file", "log.txt", and "-vv" arguments for debugging. The "--upgrade" argument lets you install newer versions over older ones.
I also found a good way to uninstall them. This is useful when you have several different Python environments. It's the same basic format, just using "uninstall" instead of "install", with a safety measure to prevent unintended uninstalls:
import pip
def uninstall(package):
response = raw_input("Uninstall '%s'? [y/n]:\n" % package)
if "y" in response.lower():
# Debugging
# pip.main(["uninstall", package, "-vv"])
pip.main(["uninstall", package])
pass
if __name__ == "__main__":
uninstall("mypackagename")
raw_input("Press Enter to Exit...\n")
The local folder contains these files: install.py, uninstall.py, mypackagename-1.0.zip
An option --find-links does the job and it works from requirements.txt file!
You can put package archives in some folder and take the latest one without changing the requirements file, for example requirements:
.
└───requirements.txt
└───requirements
├───foo_bar-0.1.5-py2.py3-none-any.whl
├───foo_bar-0.1.6-py2.py3-none-any.whl
├───wiz_bang-0.7-py2.py3-none-any.whl
├───wiz_bang-0.8-py2.py3-none-any.whl
├───base.txt
├───local.txt
└───production.txt
Now in requirements/base.txt put:
--find-links=requirements
foo_bar
wiz_bang>=0.8
A neat way to update proprietary packages, just drop new one in the folder
In this way you can install packages from local folder AND pypi with the same single call: pip install -r requirements/production.txt
PS. See my cookiecutter-djangopackage fork to see how to split requirements and use folder based requirements organization.
Assuming you have virtualenv and a requirements.txt file, then you can define inside this file where to get the packages:
# Published pypi packages
PyJWT==1.6.4
email_validator==1.0.3
# Remote GIT repo package, this will install as django-bootstrap-themes
git+https://github.com/marquicus/django-bootstrap-themes#egg=django-bootstrap-themes
# Local GIT repo package, this will install as django-knowledge
git+file:///soft/SANDBOX/python/django/forks/django-knowledge#egg=django-knowledge
To install only from local you need 2 options:
--find-links: where to look for dependencies. There is no need for the file:// prefix mentioned by others.
--no-index: do not look in pypi indexes for missing dependencies (dependencies not installed and not in the --find-links path).
So you could run from any folder the following:
pip install --no-index --find-links /srv/pkg /path/to/mypackage-0.1.0.tar.gz
If your mypackage is setup properly, it will list all its dependencies, and if you used pip download to download the cascade of dependencies (ie dependencies of depencies etc), everything will work.
If you want to use the pypi index if it is accessible, but fallback to local wheels if not, you can remove --no-index and add --retries 0. You will see pip pause for a bit while it is try to check pypi for a missing dependency (one not installed) and when it finds it cannot reach it, will fall back to local. There does not seem to be a way to tell pip to "look for local ones first, then the index".
Having requirements in requirements.txt and egg_dir as a directory
you can build your local cache:
$ pip download -r requirements.txt -d eggs_dir
then, using that "cache" is simple like:
$ pip install -r requirements.txt --find-links=eggs_dir
What you need is --find-links of pip install.
-f, --find-links If a url or path to an html file, then parse for links to archives. If a local path or
file:// url that's a directory, then look for archives in the directory listing.
In my case, after python -m build, tar.gz package (and whl file) are generated in ./dist directory.
pip install --no-index -f ./dist YOUR_PACKAGE_NAME
Any tar.gz python package in ./dist can be installed by this way.
But if your package has dependencies, this command will prompt error.
To solve this, you can either pip install those deps from official pypi source, then add --no-deps like this
pip install --no-index --no-deps -f ./dist YOUR_PACKAGE_NAME
or copy your deps packages to ./dist directory.
I've been trying to achieve something really simple and failed miserably, probably I'm stupid.
Anyway, if you have a script/Dockerfile which download a python package zip file (e.g. from GitHub) and you then want to install it you can use the file:/// prefix to install it as shown in the following example:
$ wget https://example.com/mypackage.zip
$ echo "${MYPACKAGE_MD5} mypackage.zip" | md5sum --check -
$ pip install file:///.mypackage.zip
NOTE: I know you could install the package straight away using pip install https://example.com/mypackage.zip but in my case I wanted to verify the checksum (never paranoid enough) and I failed miserably when trying to use the various options that pip provides/the #md5 fragment.
It's been surprisingly frustrating to do something so simple directly with pip. I just wanted to pass a checksum and have pip verify that the zip was matching before installing it.
I was probably doing something very stupid but in the end I gave up and opted for this. I hope it helps others trying to do something similar.
In my case, it was because this library depended on another local library, which I had not yet installed. Installing the dependency with pip, and then the dependent library, solved the issue.
If you want to install one local package (package A) to be used inside another local project/package (B) this is quite simple. All you need is to CD to (B) and call:
pip install /path/to/package(A)
Of course you will need to first compile the package (A) with:
sudo python3 ./setup.py install
And, each time you change package A, just run again setup.py in package (A) then pip install ... inside the using project/package (B)
Just add directory on pip command
pip install mypackage file:/location/in/disk/mypackagename.filetype