Skip to main content


Showing posts from December, 2009

Continuous Integration of Python Code with Unit Tests and Maven

My main development language is Java, but I also some work in Python for deployment and related tools. Being a big fan of unit testing I write unit tests in Python using PyUnit. Being a big fan of Maven and Continuous Integration, I really want the  Python unit tests to run as part of the build. I wanted to have a solution that met the following criteria:
Used commonly available pluginsKeep the maven structure of test and src files in the appropriate directories.Have the tests run in the test phase and fail the build when the tests fail.
The simplest approach I came up with to do this was to use the Exec Maven Plugin by adding the following configuration to your (python) project's POM.

<plugin> <groupId>org.codehaus.mojo</groupId> <artifactId>exec-maven-plugin</artifactId> <executions> <execution> <configuration> <executable>python</executable> <workingDirectory>src/test/python</workingDirect…

Versions in Maven and Source

I'm a big fan of Maven, a build (and project) management tool. When you are working with Maven, each artifact  that you develop (jar, or war file for example) has a version that's distinct from version in your SCM system.  The Maven Book has a good discussion about how versions are managed, but some there are often questions on projects about how to use Maven versions when you also have the SCM version. "SCM Version 6453" gives more information that "Artifact version 1.1" for example. yet we have 2 version numbers to manage. Here's one approach that works well for simple projects.

I'm assuming that you know the basics of how to specify dependencies in Maven. If you need a quick intro to Maven, see the Maven Book.

If you are developing a project that has artifacts that external clients will incorporate with Maven, you need to change the artifact version with each release, as you  specify the artifact version in the dependency element in your pom. If …

Uncertainty and Agile Requirements

The key value of Agile methods is to help you to manage uncertainty. By being incremental and iterative, you manage risks by not investing a lot of effort in specifying things that may "wrong." At the start of each iteration you can look at what you have and decide that it's the right thing, in which case you can build on it, or the wrong thing, in which case you can try something else. Since you've only invested a small amount of effort relative to the specification you do in a waterfall process, you've wasted less effort and, in the end, money if you are wrong.

This approach of small stories with only some details works really well in many cases. An agile team runs into trouble when the project team confuses "uncertainty" with "vagueness." To be successful, an agile team needs to work off of a backlog that has stories that are precise enough that the team can iterate effectively with the stakeholders at the end of each iteration, and can dev…