lakshman
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Better Python package management using source and version control systems

By : lakshman

Thanks to awesome django community, there is plenty of open source django code around.

These packages get updated quite often and if you use it often like we do, you'd have possibly realized the need to manage these packages better.

Thankfully, all python ever needs is the source, and all you need to do is to place the source in the python path.

Most projects use Distributed Version Control Systems like Mercurial and Git, and they come locally with the entire history of the source which provides a lot of control to use any version of the code. For code that we use often, like django packages, using the source from a version control system seems to be the best way to manage.

In order to install django-registration, a popular django app by James Bennett, you need to:

Clone the repository:

$ hg clone https://becomingguru@bitbucket.org/ubernostrum/django-registration/ django_registration

Create a symbolic link in the python path:

$ sudo ln -fs ~/django_registration/registration /usr/lib/python2.6/dist-packages/django_registration

Thats it. django_registration is now on the python path, courtesy of symbollic link, that links the django-registration source to python path, in this case the dist-packages/ folder; thus it will be possible to import this app within the python environment.

You now have the latest version of the source in the folder ~/django_registration, which you can check, and modify. With an editor/IDE that has go to source option, you can browse the source by using a simple short cut.(which may not have been simple if the code were is some egg file in a less well known folder)

Because of cloning of the mercurial repository, you now have access to all the revisions of the application. So you can easily update, or change to other versions.

To update to a newer version when one exists:

$ hg pull -u

To move to any particular revision:

$ hg update -r200

To check the tags:

$ hg tags

tip                              221:b360801eae96
v0.7                             205:d073602dc103
v0.6                             154:e263c551ef7b
v0.5                             139:dc2bf754aa94
v0.4                             110:4d2a725d8c18
v0.3                              75:f41e8a239016
v0.2                              58:e5110bb8d48a
v0.1                              42:d28e5a770ff8

If you want to update to a recent release, say 0.7,

 $  hg update v0.7
7 files updated, 0 files merged, 0 files removed, 0 files unresolved

The same is also applicable while dealing with SVN repositories; alebit some of the revision changes go thro the network to the central server.

In order to install and work with django trunk, check out the trunk and add a symlink, as before

$ svn co http://code.djangoproject.com/svn/django/trunk/ django-trunk
$ cd django-trunk/django
$ sudo ln -fs . /usr/lib/python2.6/dist-packages/django-extensions

You will now be able to access the latest version of django:

$ python
>>> import django
>>> django.get_version()
u'1.1 beta 1 SVN-11092'

To use any other version of django you can do some SVN manipulation, as following:

#To update to a latest version
svn up
At revision 11092.

#To update to a particular revision
svn update -r11090
At revision 11090.

#To update to a last committed version
svn up -r'COMMITTED'
At revision 11079.

#Change to a tagged version - to release 1.02
svn switch http://code.djangoproject.com/svn/django/tags/releases/1.0.2/

#Change to any branch
svn switch http://code.djangoproject.com/browser/django/branches/soc2009

svn switch commands talk to the central servers and can be time consuming.

Possible shortcomings of using source and symbollic links:

Setuptools distribution adds to the python standard library Distutils module, by adding a lot of functionality, among others that stores the package meta data like the version, location of download. If you perform

easy_install django

after installing it by source as above, easy_install again downloads the latest released version of django 1.02, listed in the Python Package Index, as it hasn't been informed of django installation.

If you are not going to use easy_install at all, this isn't a problem; but it is good to also update setup tools that a version of this application exists, if you at all need. You can then use the pkg_resources module installed with setup tools distibution, to query to find all the installed applications, from python.

If the application contains a setup.py file, you could manually inform setup tools to update using the following command

python setup.py develop

The workflow

To install packages, in a way with high control following needs to be done:

* Checkout the repository
* Add a symbollic link to the repository
* Update setup tools of this installation.

Enter PIP

PIP is a package management tool that does the workflow we need, well. It automatically checks out from the repos and runs python manage.py develop and updates few other resources, so that python package management tools in the system are well aware of the installed packages.

If you are checking out the source and creating symbolic links, it is kind of awkward to have to create symbolic links all the time; Pip automates that. Pip also updates the setuptools with the metadata of the application, so that next time if you ask the same application to be installed, via easy_install or pip, it doesn't download and install again.

So the following command:

pip install -e hg+http://bitbucket.org/ubernostrum/django-registration/#egg=django_registration
  • Clones the mercurial repository django-registration locally, into Env/src/django_registration
  • Creates the required symbollic links in the python path, in this case in the site-packages folder
  • Updates the local package management tools by setup tools of the new package.

-e option tells pip to install the package as editable, that is to leave the repository undeleted. The hg+ and egg=django_registration indicate the repository and the local folder to install to.

Pip works well with git, SVN, Hg an Bzr. Provided you inform the pip of the repository and the folder name, pip completes the work-flow.

Since the source is present in the Env/src folder, along with the SVN, Git or Hg data, one can modify the versions using version control systems, as illustrated in some of the commands above

Multiple environments

Most often the requirement will be just to update the package into the latest version, for which simple revision control update commands seem good enough. Its good to also mess around with the code changing into different versions and trying different things.

But if you seem to be changing of the versions too often, for compatibility between different environments, you might want to using virtualenv, that isolates a python working environment. virtualenvwrapper adds a bash wrapper to use virtualenv conviniently.


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Comments

Dirkjan Ochtman

Are you aware of python setup.py develop? Combined with VCS checkout, it's quite useful (simpler than symlinking, for sure).

commmenttor
lakshman

Dirkjan,

Yes I agree setup.py develop can be easier than source symlinking. Thats why I have mentioned that too.

But as I said in the end, pip seems to be the simplest, as it takes care of the check out also.

commmenttor

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johnnyh749

[Pip](http://pypi.python.org/pypi/pip) with virtualenv is definitely great! I’ve used those two with [fabric](http://docs.fabfile.org/) to deploy to remote servers with great results. I use a requirements file with Pip and specify the virtualenv location in one step: pip install -E env -r requirements.txt

This comment was originally posted on Reddit

j____e___s__u_s

I’ve recently started using all three, and they are indeed awesome.

This comment was originally posted on Reddit

tehfink

Cool. How about a tutorial? Can you write one/point us in the right direction?

This comment was originally posted on Reddit

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