My Software Development Environment for Python

February 21st, 2011 • Comments Off

Python is my favorite programming language for multiple reasons. Most important though is that it has a strong community, a Benevolent Dictator For Life (BDFL) and allows rapid development of high quality software. I love automation of processes wherever possible because it saves time. Here is a list of tools, methodologies, stuff I use to ensure code quality:

  • Source Code Management (SCM) – Currently I prefer using Mercurial. It is written in Python and has a low learning curve. Although similar to GIT I don’t think there is much to argue against or in favor of GIT over Mercurial. Most of the time I’m fiddeling around with the command line but for merging I use meld (nice 3-way view) and hgview (it’s faster than the hgk extension) for viewing the current status of the repository.
  • Issue Tracking – Since I’m coding in small teams only I find a story board which is located next to the code most convenient. For bigger teams I would favor Mantis.
  • Project hosting – Although I’m not a huge fan of Sourceforge it currently offers all I need. Major issue against Sourceforge is the performance of the service. But the ability to deploy website is a must have for me.
  • Quality assurance – I use: pylint for code style checks (PEP8 conform of course :-) ) (and with a rating with 10 out of 10 :-) ), pycoverage for coverage reports (I love to get 100% code coverage with my unittests (Also see this post here) – and yes that’s possible), pygenie to review the complexity, pycallgraph to get an overview of how the code behaves during run-time, and last but no least pep8 for some sanity checks. All these tools are embedded Hudson and reports are generated automatically (!!) without human interaction *yeeha*
  • Reporting & Builds – Probably because I have some Sun Microsystems background I like hudson – It runs as a service on my machine in the background and is bound to my local branch of my python code (Polls every 5 minutes). Each time I do a ‘hg commit’ it tests the software and creates a bunch of reports. Nicely integrated are the pylint (via Violations plugins) and the Coverage reporting. So I just have to visit the local hudson page and see what is going on. I could do automatic releases of my code and deploy those on pypi but I don’t because in some months I don’t code that much. (BTW.: I’m not contributing to the Hudson, Jenkins discussion :-) )
  • Packaging – I use pip to access pypi – Why? Because of the uninstallation and build features it offers. And also the pip requirement files are nice!
  • Documentation – I find the sphinx tool very convenient. It comes with nice themes, good code integration and easy to write markup language.
  • IDE – I use IDLE for smaller edits, when doing real coding I currently run Aptana Studio Beta 3 – Try it out – it has some nice features (Like the build in Terminal, Python support, Refactoring, Code Formatting, Usable for website development as well etc.).
  • Shell script – This is probably not the nicest way but for now the fastest. I have one shell scripts in place which is called by hudson (Main reason why it is a shell script) and which I use to deploy versions of the software  to pypi. Whenever I deploy those scripts for example first ensure that all tests run and after a successful deployment they create a tag in the SCM with the version string.

Tools I sometimes use during the development of code:

  • tornado web – It is fast, and the asnc calls are nice. The ideal framework to write RESTful service in python.
  • django – For bigger Apps I would recommend the Django Framework
  • SWIG – To call C libraries from python. I still find it the most convenient way – but I’m happy to be told otherwise

Thinks I would like to have replacements for:

  • I would love to see a smartHG instead of smartGIT :-)
  • A mixture of github, bitbucket and SourceForge for project hosting
  • Maybe an replacement for hudson…
  • the SWIG solution…

Overall I’m pretty happy with this setup and find it good for fast coding. I usually write unittests (With test for success, failure and sanity for every routine) first before starting coding. I don’t find it a time waste but actually I’m pretty sure that the overall setup allows me to code and refactor faster.

Maybe others or you (?) also want to writeup their setups and we can start a site like The Setup for Software Development? Please Retweet and share the link!

Update: Also have a look at this Python and Dtrace blog post.

Hudson and Python

September 23rd, 2010 • 3 Comments

Regarding Continuous Integration (CI) systems I probably still like Hudson! Great tool and runs perfectly well. Just get the latest jar file and run it with java – jar hudson.jar. Now to get started you will need to install some plugins:

  • the Python plugin
  • the mercurial (or whatever SCM you use) plugin
  • Violations Plugin (which will parse pylint output later on)
  • Cobertura Plugin (which will parse the coverage output and display it nicely)

You can install those plugins in he management interface of hudson. When configuring the job in hudson you simple add a new “Build a free-style software project” job. Add SCM information – and than add some build steps. I had to use two:

python setup.py clean --all
python setup.py build
coverage erase
nosetests --with-coverage --cover-package=<your packages> --with-xunit
coverage xml

And a second one:

#!/bin/bash
pylint -f parseable <your packages> > pylint.txt
echo "pylint complete"

Both are external scripts. Now in the post-build section activate the JUnit test reporting and tell it to use the **/nosetests.xml file. Also activate the Cobertura Coverage report and tell it to use **/coverage.xml. Finally activate the Report Violations – and add pylint.txt in the right row.

Configure the rest of the stuff just as you like and hit the Build button. Thanks to XML the reporting tools written for java can parser the output generated for your Python project. Now you have nice reports from a Python project in Hudson!

A more detailed and great article about this topic can be found here.

Story board for agile development

July 14th, 2010 • 1 Comment

I’m a fan of software development processes. They need to be simple and easy to follow. Now one thing I like are so called task/story boards for agile development to keep track of stuff in the pipeline. What I do not like is that tool support is rather not good. Most people seem to be using ‘real’ task/story boards with paper and pen. That is not an option for me – since I’m not always in the same place :-)

Other tools are so overblown that they are hardly usable – and again an external tool makes that the stories and their states are not stored near the source code – where the belong IMHO.

So I stumbled upon simple-kanban an easy tool where you basically can just drag and drop stories around based on their state. There is a very simple editor for editing the stories and the best feature is: It’s an single HTML file which you can check-in next to your source code in your SCM. And with the web browser integrated in eclipse even open in your IDE.

Only feature missing was that this board couldn’t store the information – you had to manually copy the stories from the editor and paste them into the HTML file, which you could save then:

Go to the data view and copy all stories. Then simply edit the source of the HTML file with an editor of your choice, preferably one which knows HTML. There you can paste the copied stories over the old ones and save the HTML file.

I didn’t like that – and since I knew of tiddlywiki, which is another single page application (SPA), which can store data, I thought I can update it. So I took the saving features from the wiki (described here BTW) and integrated them with the simple-kanban board. Now I have a save button and do not need to do nasty copy & pastes into source codes.

BTW this is how it looks in Eclipse:

Nice for small projects, your to-dos (Getting Thinks Done (GTD)) or any other stuff…

Open source & making money: two worlds?

May 17th, 2010 • 4 Comments

I’m a big fan of Open Source Software. But I can also understand that making money is important nowadays. And to be honest I feel more confident when a company is involved in the development of a tool/product/application. I think communities are great – but a company with real QA and who needs to make money out of a tool/product/application has a motivation to make the best out of the tool/product/application.

Now the question is: How do you make money with this in mind? Simply by selling support contracts? I have seen companies fail with that model.

A good idea might be to release the code in open source but as a company do development of new features in a closed repository. Make a clear release plan which shows the upcoming features (and distribute it). When a customer needs one of these upcoming features etc. he can either:

  • develop them himself or
  • buy a license to get the access to the current version or
  • wait

Next to that Support contracts might still be an option :-)

Crucial point is here the right choice of a source code control system. Because the community still might develop cool features which you want in you closed repository as well…But distributed SCMs do the job…

How to write kick-ass Unittests

December 17th, 2009 • 1 Comment

It doesn’t mater which programming language you are using Java, Python, or something else. Writing cool kick-ass Unittests is a must. So here are some thoughts and Ideas:

  • Design first & design to test. But do not add extra methods juts for testing!
  • Always write your unittest first! It will start small (jsut checking the public methods and eventually grow with your code)
  • Design and spend time writing test environments with Mocks etc.
  • Each method should be at least tested by 3 test methods in your unittest:
    • test for success – Test if the method behaves correctly when given parameters in range
    • test for failure – Test if the method behaves correctly when given invalid parameters, wrong environment etc.
    • test for sanity – Test with a set of input parameters and compare results with expected output parameters.

Next to this I would encourage all developers to use Agile development methodologies like Scrum or similar. And also: please tweet and blog to give your users an insight of what is going on with your product/software.

Blog post is also available here

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