I'm wondering if there's a way to "install" single-file python modules using pip (i.e. just have pip download the specified version of the file and copy it to site-packages).
I have a Django project that uses several 3rd-party modules which aren't proper distributions (django-thumbs and a couple others) and I want to pip freeze everything so the project can be easily installed elsewhere. I've tried just doing
pip install git+https://github.com/path/to/file.git
(and tried with the -e tag too) but pip complains that there's no setup.py file.
Edit: I should have mentioned - the reason I want to do this is so I can include the required module in a requirements.txt file, to make setting up the project on a new machine or new virtualenv easier.
pip requires a valid setup.py to install a python package. By definition every python package has a setup.py... What you are trying to install isn't a package but rather a single file module... what's wrong with doing something like:
git clone git+https://github.com/path/to/file.git /path/to/python/install/lib
I don't quite understand the logic behind wanting to install something that isn't a package with a package manager...
Related
I'm new to Python. I'm familiar with pip... but how do I install something that pip doesn't know about?
Specifically, this is a Jupyter SQL Magics extension (GitHub link)
How do I install an extension "from scratch"?
Not everything is uploaded to pip and can be installed by it.
This seems to be a python script not extension.
Just download the code and use it as import to your script.
Here is how imports work
Python extensions, modules, library or programs (call them how you like) have setup.py script that makes them install-able. Or if its a program that requires library in order to use it it might have requirements.txt file.
This file is used by pip to install every dependency like so:
pip install -r requirements.txt
you can read more about setup.py here
Can you give more details what are you trying to accomplish?
I have a python project that uses tools/programs from the command line command called pip.
How do i ensure that the user has all the tools i'm using on their computer?
Do i have to include a readme that states you need the following tools in order to properly run the program, or is there some sort of function or module for me that can automatically install the missing features?
Oh, and i'm fairly new to Python, so maybe i just do not understand how pip works. Can i just use os.system("pip install something")? And what if i wanna be not platform specific?
The convention is to include a requirements.txt which contains information on which packages need to be installed. You can read more at the official documentation for pip.
However, since generating that manually can be painful, there are tools like pipreqs which examines your project and generates a requirements.txt file for you by comparing your imports against those which are found through official pip repositories.
Once the requirements.txt file is generated, it can be installed this way: pip install -r requirements.txt.
My python package contains a lot of files compiled by python-protobuf (python2-protobuf-2.5.0 on Arch Linux), I installed the package on Ubuntu server 12.04.3 (which have python-protobuf-2.4.1), tried to run the code, and hit the following error:
from google.protobuf.internal import enum_type_wrapper
ImportError: cannot import name enum_type_wrapper
I think it's because the protobuf modules in my package are compiled by protobuf-2.5.0 and they do not work with protobuf-2.4.1.
I have no idea of the environments in which my code may run, the version of protobuf may vary. How to make my package work with both protobuf 2.4 and 2.5?
(A possible way: include two different sets of protobuf libraries (one compiled by 2.4.1, the other compiled by 2.5.0) in my package, get google.protobuf version at runtime and select the protobuf libraries to import. Is it possible?
You need to specify the version of protobuf that will work with in your setup.py in the list install_requires=['protobuf>=2.5.0']. With a Python package, you can put just the name or the exact versions that will run with the package using ==. I believe you can also specify != for specific versions.
If you are not packaging it with a setup.py, you should set up a virtualenv and put a file install_requires.txt with all the specific python packages and versions in the root of the project.
That might look like:
$ cd ../project
$ virtualenv project_venv
$ source project_venv/bin/activate
$ cd project
$ pip install protobuf>=2.5.0
$ pip freeze > ./requirements.txt
Then someone you distribute to can activate their virtualenv and do:
$ pip install -r requirements.txt
Make sure your package will work from a fresh virtualenv by installing with that method. This is also good to check before installing via a setup.py. You want to make sure your requirements will get anyone working who just does a fresh sudo python setup.py install, or python setup.py install in a virtualenv context.
You can exit a virtualenv context with:
$ deactivate
Your best bet may be to include a copy of the protobuf runtime library with your package, maybe under a different package name. Then you can make sure that it matches the version of your generated code.
Another option is to invoke protoc as part of the installation process, so you get whatever version is available on the host.
I don't think packaging multiple versions of your generated code sounds like a good idea -- you'll just have problems again when the next protobuf release comes out.
Two options in setup.py develop and install are confusing me. According to this site, using develop creates a special link to site-packages directory.
People have suggested that I use python setup.py install for a fresh installation and python setup.py develop after any changes have been made to the setup file.
Can anyone shed some light on the usage of these commands?
python setup.py install is used to install (typically third party) packages that you're not going to develop/modify/debug yourself.
For your own stuff, you want to first install your package and then be able to frequently edit the code without having to re-install the package every time — and that is exactly what python setup.py develop does: it installs the package (typically just a source folder) in a way that allows you to conveniently edit your code after it’s installed to the (virtual) environment, and have the changes take effect immediately.
Note: It is highly recommended to use pip install . (regular install) and pip install -e . (developer install) to install packages, as invoking setup.py directly will do the wrong things for many dependencies, such as pull prereleases and incompatible package versions, or make the package hard to uninstall with pip.
Update:
The develop counterpart for the latest python -m build approach is as follows (as per):
From the documentation. The develop will not install the package but it will create a .egg-link in the deployment directory back to the project source code directory.
So it's like installing but instead of copying to the site-packages it adds a symbolic link (the .egg-link acts as a multiplatform symbolic link).
That way you can edit the source code and see the changes directly without having to reinstall every time that you make a little change. This is useful when you are the developer of that project hence the name develop. If you are just installing someone else's package you should use install
Another thing that people may find useful when using the develop method is the --user option to install without sudo. Ex:
python setup.py develop --user
instead of
sudo python setup.py develop
Is it possible to collect many Python extensions an install them in one step? I have a Python build environment for an open source project that often needs to be recreated on multiple machine. It's a pain to double click through a bunch of python extension exes every time we need to do this.
Ideally I'd like to package a complete build environment, Python, extensions, system environment variables, and all, into a one step install process. But a single step extension install would also be helpful. Is this possible?
Yes, you can do that... do you have pip(python indexed package) installed in your system?
if not, then install it... and put all the extensions into a single text file... say requirements.txt...
This is done by running
pip freeze > requirements.txt
then by using pip you can install it... by using this command...
pip install -r requirements.txt...
it will install all the extensions mentioned in the file...
you can find the pip package here pip
might help you...
You can with Distribute define dependencies of a package, and easy_install or pip will install all dependencies when you ask to install the package.