配置virtualenv，virtualenv是python的一个很有用的虚拟环境工具，这样安装

apt-get install python-setuptools
easy_install virtualenv

(运行这条命令容易出错，pip install virtualenv不会出错。

所以pip install比easy_install更好）

然后设置一个/多个app基准环境:

virtualenv dev

root@as3:~# virtualenv dev
New python executable in dev/bin/python
Installing Setuptools..............................................................................................................................................................................................................................done.
Installing Pip.....................................................................................................................................................................................................................................................................................................................................done.
root@as3:~# dev/bin/python -V
Python 2.7.6
root@as3:~#

在此环境下安装的软件仅在此环境下有效.

root@as3:~# cd dev
root@as3:~/dev# ls
bin include lib
root@as3:~/dev# ls bin
activate activate.fish easy_install pip python python2.7
activate.csh activate_this.py easy_install-2.7 pip-2.7 python2
root@as3:~/dev# ls include
python2.7
root@as3:~/dev# ls lib
python2.7
root@as3:~/dev#

----------------

On virtualenv

Whenever I do any programming with Python, I always use virtualenv to isolate my Python environment(s) from the rest of my system. It’s not only good practice, it’s good system hygiene and will save you from using pip as a footgun.

Using virtualenv will create separate environments for each of the Python projects on a system, with package downloads only going into the location of the current project’s virtual environment and not affecting anything else on the system. There is no cross-project package contamination.

This separation is especially appreciated by those of us who have had experiences of installing packages globally and then having to deal with library conflicts and packages not being able to be downloaded and installed, whether those conflicts occur because of different versions of Python itself or of the individual packages.

Note that these virtual environments are not the same as virtual machines and there is no virtualization.

Here is a short list of reasons for using virtualenv:

Testing a package with different versions of Python, i.e., 2.7 and 3.x.
Testing different versions of a package with different package dependencies.
Easily able to capture package dependencies in a requirements.txt file.
Installing a package just to have a look around before deleting it.
Easy cleanup.

One can imagine trying to do several of these scenarios system-wide and the difficulty inherent in doing so. One quickly understands the advantage of creating virtual environments for each project where all the package dependencies are effectively “siloed” from one another.

As we’ll see, virtualenv provides the ability to create these virtual environments.

Let’s look at it now.

`virtualenv`

virtualenv is the tool to install to enable all of the environment isolation that I mentioned previously. Install it as usual:

$ python -m pip install virtualenv

There are a number of useful flags that can be used to control how the virtual environment behaves. I’ll just show a short list of ones that I tend to use:

-p - Specify the Python version, although it must be present on the system. Will default to the first-found on the system if not present (i.e., the result of which python).
- Any bootstrapped packages will be compatible with the specified version (see below).
--prompt - Specify a prompt prefix other than the default (DEST).
--system-site-packages - Allow the virtual environment access to the system’s site-package directory.
- Note that this will affect the output of pip freeze if creating a requirements.txt file after activating the virtual environment, which will include all of the local and system packages particular to the Python version.
- To filter out the system packages and only include the dependencies downloaded into the virtual environment, add the --local flag:
  - pip freeze --local > requirements.txt
-v - Increase verbosity.

To create a virtual environment, simply call it with the destination name of the environment:

$ virtualenv venv

venv tends to be used as a convention, but it can be named anything.

Let’s now take a look at the directory structure that was created:

$ tree -dL 4 venv/
venv/
├── bin
└── lib
  └── python3.8
      └── site-packages
          ├── _distutils_hack
          ├── pip
          ├── pip-20.3.3.dist-info
          ├── pkg_resources
          ├── setuptools
          ├── setuptools-51.3.3.dist-info
          ├── wheel
          └── wheel-0.36.2.dist-info

Again, note that this isn’t a fully-independent virtual environment, for apart from some automatic bootstrapping (which can be configured) of packages such as pip, setuptools and wheel into the Python virtual environment, the Python interpreter will rely on the system Python distribution for standard library and binary libraries.

And the bin directory itself:

$ tree venv/bin
venv/bin/
├── activate
├── activate.csh
├── activate.fish
├── activate.ps1
├── activate_this.py
├── activate.xsh
├── easy_install
├── easy_install3
├── easy_install-3.8
├── easy_install3.8
├── pip
├── pip3
├── pip-3.8
├── pip3.8
├── python -> /usr/bin/python
├── python3 -> python
├── python3.8 -> python
├── wheel
├── wheel3
├── wheel-3.8
└── wheel3.8

Notes:

All of the activate* scripts are the activators to choose from. The one without an extension is for Bash.
The binaries are the aforementioned bootstrapped packages that work with the version of Python chosen for the virtualenv.
Since the system Python version is also being used for the virtualenv (the absence of the -p option), python is symlinked to the system-wide version.

What version of Python is my system using?
$ which python
/usr/bin/python
$
$ $(which python) -V
Python 3.8.0

To activate the new environment, source an activator of your choosing. Again, I use the Bash activate script, but use the one that matches your shell:

$ source venv/bin/activate
(venv) $

This does several things to the current shell environment:

Changes the interactive prompt PS1 to the name given to the DEST directory (or to the value of --prompt, if given).
Prepends the location of the virtualenv’s bin directory to the front of $PATH so that location will be prioritzed:

Loads the deactivate Bash function into the current session, which is used to effectively reverse the steps that activate takes.

  (venv) $ declare -f deactivate
  deactivate ()
  {
      unset -f pydoc > /dev/null 2>&1 || true;
      if ! [ -z "${_OLD_VIRTUAL_PATH:+_}" ]; then
          PATH="$_OLD_VIRTUAL_PATH";
          export PATH;
          unset _OLD_VIRTUAL_PATH;
      fi;
      if ! [ -z "${_OLD_VIRTUAL_PYTHONHOME+_}" ]; then
          PYTHONHOME="$_OLD_VIRTUAL_PYTHONHOME";
          export PYTHONHOME;
          unset _OLD_VIRTUAL_PYTHONHOME;
      fi;
      if [ -n "${BASH-}" ] || [ -n "${ZSH_VERSION-}" ]; then
          hash -r 2> /dev/null;
      fi;
      if ! [ -z "${_OLD_VIRTUAL_PS1+_}" ]; then
          PS1="$_OLD_VIRTUAL_PS1";
          export PS1;
          unset _OLD_VIRTUAL_PS1;
      fi;
      unset VIRTUAL_ENV;
      if [ ! "${1-}" = "nondestructive" ]; then
          unset -f deactivate;
      fi
  }

Depending on your system architecture, this function will look different.

You can verify that the virtualev is prioritizing the python and pip binaries in its bin directory:

(venv) $ which python pip
/home/btoll/projects/benjamintoll.com/venv/bin/python
/home/btoll/projects/benjamintoll.com/venv/bin/pip

And let’s check the $PATH:

(venv) $ echo $PATH | tr : \\n | head -4
/home/btoll/projects/benjamintoll.com/venv/bin
/opt/go/bin
/home/btoll/go/bin
/home/btoll/bin

Looks good. Now, let’s download some packages and create a requirements.txt file for future project bootstrapping. In addition, we’ll list the downloaded modules before and after the package installs:

(venv) $ pip list
Package    Version
---------- -------
pip        20.3.3
setuptools 51.3.3
wheel      0.36.2
(venv) $
(venv) $ pip install numpy scipi
Collecting numpy
  Downloading numpy-1.20.2-cp38-cp38-manylinux2010_x86_64.whl (15.4 MB)
     |████████████████████████████████| 15.4 MB 12.4 MB/s
Collecting scipy
  Downloading scipy-1.6.2-cp38-cp38-manylinux1_x86_64.whl (27.2 MB)
     |████████████████████████████████| 27.2 MB 12.2 MB/s
Installing collected packages: numpy, scipy
Successfully installed numpy-1.20.2 scipy-1.6.2
(venv) $
(venv) $ pip list
Package    Version
---------- -------
numpy      1.20.2
pip        20.3.3
scipy      1.6.2
setuptools 51.3.3
wheel      0.36.2

As expected, pip only lists the packages that have been downloaded since the virtualenv has been created (remember that pip, setuptools and wheel were downloaded automatically on virtualenv creation). None of the system-wide packages have been listed, which means that our isolated virtual environment doesn’t “know” about them. This is great and exactly what we want.

Our last action is to create the requirements.txt file. Let’s first see what packages and their versions will be included:

(venv) $ pip freeze
numpy==1.20.2
scipy==1.6.2

A couple things to note here:

Again, no system-wide packages.
The bootstrapped packages aren’t included.

Super!

And create the file:

(venv) $ pip freeze > requirements.txt

Weeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee!

Finally, let’s deactivate the virtual environment session and remove the virtual environment. There is no special function or command flag or option to delete the virtual environment. Simply delete it and its contents like usual.

(venv) $ deactivate
$
$ rm -rf venv

And we’re back to our system-wide binaries and old $PATH value:

$ which python pip
/usr/bin/python
/home/btoll/.local/bin/pip
$
$ echo $PATH | tr : \\n | head -4
/opt/go/bin
/home/btoll/go/bin
/home/btoll/bin
/home/btoll/.local/bin

virtualenv has a lot of handy features, such as support for a configuration file to override defaults, creating the virtual environment from an install image, and others that can be very useful depending on the use case. Check out the docs for more information.

Conclusion

My original intent was to describe virtualenv and then follow up with how to use virtualenvwrapper as a management tool for virtualenv, but then this post got really long, and I ran out of steam. I may do a separate post for virtualenvwrapper at some point in the future, but I honestly don’t use it as much as I used to because I’m rarely juggling more than one Python virtual environment at a time.

So, in conclusion, I conclude that I really have no idea what I’ll do next or really what I’ll do at any given moment.

References

from https://www.benjamintoll.com/2021/04/01/on-virtualenv/

人生在世，看得透，又看得远者prevail everywhere. v.gd/YLHADG v.gd/cRqvfD v.gd/bKvfFH v.gd/sRm3tA

Pages

Monday, 28 October 2013

为python app配置virtualenv

On virtualenv

`virtualenv`

Conclusion

References