How can I keep track of the packages when I install them using pip inside a virtualenv?
It seems like a mess now; if I install package A, it automatically install its dependancies; B, C and D. Then I decide to use package N instead which installs its dependancies as well.
Now when I remove package A, its dependancies are not automatically removed.
How I can keep my virtualenv clean? Is there a tool to check for unused packages and remove them?
To remove a package:
pip uninstall package_name
To get list of packages required by any given package (using pip):
pip show package_name
This will show you the packages that are required for it to run, and also the packages that require your package for them to run.
So the best way to uninstall a package with all its dependency packages is to run pip show package_name first to see the list of its dependency packages and then uninstall it along with its dependency packages one by one. For example:
pip show package_name
pip uninstall package_name
pip uninstall dependency_package_1
pip uninstall dependency_package_2
...etc
Making virtualenvs is relatively cheap. You could just create a new virtualenv whenever you get into this situation and run your pip install again.
Not very elegant, but it gets the job done. Of course you need to be maintaining some requirements file for the pip install and it will go faster if you have some local index or cache for pip.
To get a clean environment, create a new one. Some pip hooks can help you on this path:
pip freeze to get list of installed packages and their versions, wich can later be used with
-r <file> to install list of packages, stated in a requirements file
--build <dir> to place builds in a specific directory
--no-clean to not clean up build directories
later you can use those builds with --no-download
--no-deps to not install dependencies
Alternative way is to name each dependency of your project in your "setup.py" or "requirements.txt". Exercise setup.py or pip install cat requirements.txt multiple times with virtualenv in order to run your application successfully. After that, manually add the new dependency to one of the files to keep your dependency in sync.
Related
In my requirements.txt I have packages defined in following manner:
Django ~= 2.2.0
It means that when I use pip install -r requirements.txt pip will find the latest available 2.2.x version and install it along with all dependencies.
What I need is requirements-formatted list of all packages with explicit versions that will be installed but without actually installing any packages. So example output would be something like:
Django==2.2.23
package1==0.2.1
package2==1.4.3
...
So in other words I'm looking for something like pip freeze results but without installing anything.
pip-compile is what you need!
Doc: https://github.com/jazzband/pip-tools)
python -m pip install pip-tools
pip-compile requirements.txt --output-file requirements-all.txt
The pip-compile command lets you compile a requirements.txt file from your dependencies, this way you can pip install you dependencies to always have the same environment
TL;DR
Try pipdetree or pip-tree.
Explanation
pip, contrary to most package managers, doesn't have a big dependency graph to look up. What it does is that it lets arbitrary setup code to be executed, which automatically pulls the dependencies. This means that, for example, a package could manage their dependencies in an other way than putting them in requirements.txt (see fastai for an example of a project that handles the dependencies differently).
So, there is, theoretically, no other way to see all the dependencies than to actually run an install on an isolated environment, see what was pulled, then delete the environment (because it could potentially be the same part of the code that does the installation and that brings the dependencies). You could actually do that with venv.
In practice, tools like pipdetree or pip-tree fetch the dependencies based on some standardization of the requirements (most packages separate the dependencies and the installation, and actually let pip handle both).
I am updating all my packages with pip with
import pip
from subprocess import call
for dist in pip.get_installed_distributions():
call("pip install --upgrade " + dist.project_name, shell=True)
but it takes forever since many more packages are installed than I actually need.
Can I delete all unused packages with pip?
Of course you can delete any package you want. The real question is should you?
Is this in a virtualenv or is it system wide python? If it's system wide, just because your project isn't using those packages doesn't mean no other apps rely on them. If its a virtualenv, I would recommend creating a temp virtualenv, and installing only the packages that you know your project depends on. This way you can see which packages were installed as dependencies of packages you require and you can remove the ones that are not needed anymore.
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
According to another question, pip offers a facility for uninstalling eggs, which it's help also indicates.
I have a project that, once installed, has a structure in my local site-packages folder that looks like this:
projecta/
projecta-1.0-py2.6.egg-info/
Using an up to date version, pip uninstall projecta asks me the following question:
/path/to/python2.6/site-packages/projecta-1.0-py2.6.egg-info
Proceed (y/n)?
Answering y will remove the .egg-info directory, but not the main projecta directory, without saying there was any sort of error. Why doesn't pip manage or know to remove this directory?
The project itself is installed via a setup.py file using distutils. Are there any special settings I could/should use in that file to help pip with the removal process?
If I recall correctly pip knows how to uninstall packages installed via setuptools/distribute, not raw distutils.
There are some setuptools's features pip is based on - like --record option, which stores package metadata (and it is what allows pip to uninstal package related files).
Try doing:
$ pip install /path/to/projecta
$ pip uninstall projecta
I know the obvious answer is to use virtualenv and virtualenvwrapper, but for various reasons I can't/don't want to do that.
So how do I modify the command
pip install package_name
to make pip install the package somewhere other than the default site-packages?
The --target switch is the thing you're looking for:
pip install --target=d:\somewhere\other\than\the\default package_name
But you still need to add d:\somewhere\other\than\the\default to PYTHONPATH to actually use them from that location.
-t, --target <dir>
Install packages into <dir>. By default this will not replace existing files/folders in <dir>.
Use --upgrade to replace existing packages in <dir> with new versions.
Upgrade pip if target switch is not available:
On Linux or OS X:
pip install -U pip
On Windows (this works around an issue):
python -m pip install -U pip
Use:
pip install --install-option="--prefix=$PREFIX_PATH" package_name
You might also want to use --ignore-installed to force all dependencies to be reinstalled using this new prefix. You can use --install-option to multiple times to add any of the options you can use with python setup.py install (--prefix is probably what you want, but there are a bunch more options you could use).
Instead of the --target or --install-options options, I have found that setting the PYTHONUSERBASE environment variable works well (from discussion on a bug regarding this very thing):
PYTHONUSERBASE=/path/to/install/to pip install --user
(Or set the PYTHONUSERBASE directory in your environment before running the command, using export PYTHONUSERBASE=/path/to/install/to)
This uses the very useful --user option but tells it to make the bin, lib, share and other directories you'd expect under a custom prefix rather than $HOME/.local.
Then you can add this to your PATH, PYTHONPATH and other variables as you would a normal installation directory.
Note that you may also need to specify the --upgrade and --ignore-installed options if any packages upon which this depends require newer versions to be installed in the PYTHONUSERBASE directory, to override the system-provided versions.
A full example
PYTHONUSERBASE=/opt/mysterypackage-1.0/python-deps pip install --user --upgrade numpy scipy
..to install the scipy and numpy package most recent versions into a directory which you can then include in your PYTHONPATH like so (using bash and for python 2.6 on CentOS 6 for this example):
export PYTHONPATH=/opt/mysterypackage-1.0/python-deps/lib64/python2.6/site-packages:$PYTHONPATH
export PATH=/opt/mysterypackage-1.0/python-deps/bin:$PATH
Using virtualenv is still a better and neater solution!
To pip install a library exactly where I wanted it, I navigated to the location I wanted the directory with the terminal then used
pip install mylibraryName -t .
the logic of which I took from this page: https://cloud.google.com/appengine/docs/python/googlecloudstorageclient/download
Installing a Python package often only includes some pure Python files. If the package includes data, scripts and or executables, these are installed in different directories from the pure Python files.
Assuming your package has no data/scripts/executables, and that you want your Python files to go into /python/packages/package_name (and not some subdirectory a few levels below /python/packages as when using --prefix), you can use the one time command:
pip install --install-option="--install-purelib=/python/packages" package_name
If you want all (or most) of your packages to go there, you can edit your ~/.pip/pip.conf to include:
[install]
install-option=--install-purelib=/python/packages
That way you can't forget about having to specify it again and again.
Any excecutables/data/scripts included in the package will still go to their default places unless you specify addition install options (--prefix/--install-data/--install-scripts, etc., for details look at the custom installation options).
Tested these options with python3.5 and pip 9.0.3:
pip install --target /myfolder [packages]
Installs ALL packages including dependencies under /myfolder. Does not take into account that dependent packages are already installed elsewhere in Python. You will find packages from /myfolder/[package_name]. In case you have multiple Python versions, this doesn't take that into account (no Python version in package folder name).
pip install --prefix /myfolder [packages]
Checks if dependencies are already installed. Will install packages into /myfolder/lib/python3.5/site-packages/[packages]
pip install --root /myfolder [packages]
Checks dependencies like --prefix but install location will be /myfolder/usr/local/lib/python3.5/site-packages/[package_name].
pip install --user [packages]
Will install packages into $HOME:
/home/[USER]/.local/lib/python3.5/site-packages
Python searches automatically from this .local path so you don't need to put it to your PYTHONPATH.
=> In most of the cases --user is the best option to use.
In case home folder can't be used because of some reason then --prefix.
pip3 install "package_name" -t "target_dir"
source - https://pip.pypa.io/en/stable/reference/pip_install/
-t switch = target
Nobody seems to have mentioned the -t option but that the easiest:
pip install -t <direct directory> <package>
pip install packageName -t pathOfDirectory
or
pip install packageName --target pathOfDirectorty
Just add one point to #Ian Bicking's answer:
Using the --user option to specify the installed directory also work if one wants to install some Python package into one's home directory (without sudo user right) on remote server.
E.g.,
pip install --user python-memcached
The command will install the package into one of the directories that listed in your PYTHONPATH.
Newer versions of pip (8 or later) can directly use the --prefix option:
pip install --prefix=$PREFIX_PATH package_name
where $PREFIX_PATH is the installation prefix where lib, bin and other top-level folders are placed.
To add to the already good advice, as I had an issue installing IPython when I didn't have write permissions to /usr/local.
pip uses distutils to do its install and this thread discusses how that can cause a problem as it relies on the sys.prefix setting.
My issue happened when the IPython install tried to write to '/usr/local/share/man/man1' with Permission denied. As the install failed it didn't seem to write the IPython files in the bin directory.
Using "--user" worked and the files were written to ~/.local. Adding ~/.local/bin to the $PATH meant I could use "ipython" from there.
However I'm trying to install this for a number of users and had been given write permission to the /usr/local/lib/python2.7 directory. I created a "bin" directory under there and set directives for distutils:
vim ~/.pydistutils.cfg
[install]
install-data=/usr/local/lib/python2.7
install-scripts=/usr/local/lib/python2.7/bin
then (-I is used to force the install despite previous failures/.local install):
pip install -I ipython
Then I added /usr/local/lib/python2.7/bin to $PATH.
I thought I'd include this in case anyone else has similar issues on a machine they don't have sudo access to.
If you are using brew with python, unfortunately, pip/pip3 ships with very limited options. You do not have --install-option, --target, --user options as mentioned above.
Note on pip install --user
The normal pip install --user is disabled for brewed Python. This is because of a bug in distutils, because Homebrew writes a distutils.cfg which sets the package prefix.
A possible workaround (which puts executable scripts in ~/Library/Python/./bin) is:
python -m pip install --user --install-option="--prefix=" <package-name>
You might find this line very cumbersome. I suggest use pyenv for management.
If you are using
brew upgrade python python3
Ironically you are actually downgrade pip functionality.
(I post this answer, simply because pip in my mac osx does not have --target option, and I have spent hours fixing it)
With pip v1.5.6 on Python v2.7.3 (GNU/Linux), option --root allows to specify a global installation prefix, (apparently) irrespective of specific package's options. Try f.i.,
$ pip install --root=/alternative/prefix/path package_name
I suggest to follow the documentation and create ~/.pip/pip.conf file. Note in the documentation there are missing specified header directory, which leads to following error:
error: install-base or install-platbase supplied, but installation scheme is incomplete
The full working content of conf file is:
[install]
install-base=$HOME
install-purelib=python/lib
install-platlib=python/lib.$PLAT
install-scripts=python/scripts
install-headers=python/include
install-data=python/data
Unfortunatelly I can install, but when try to uninstall pip tells me there is no such package for uninstallation process.... so something is still wrong but the package goes to its predefined location.
pip install /path/to/package/
is now possible.
The difference with this and using the -e or --editable flag is that -e links to where the package is saved (i.e. your downloads folder), rather than installing it into your python path.
This means if you delete/move the package to another folder, you won't be able to use it.
system` option, that will install pip package-bins to /usr/local/bin thats accessible to all users. Installing without this option may not work for all users as things go to user specific dir like $HOME/.local/bin and then it is user specific install which has to be repeated for all users, also there can be path issues if not set for users, then bins won't work. So if you are looking for all users - yu need to have sudo access:
sudo su -
python3 -m pip install --system <module>
logout
log back in
which <module-bin> --> it should be installed on /usr/local/bin/
Sometimes it works only works with Cache argument
-m pip install -U pip --target=C:\xxx\python\lib\site-packages Pillow --cache-dir C:\tmp