The original idea is to create a standalone jython environment, I took traditional Java tools, ant and ivy, to resolve Java dependencies. But the XMLs seem to be verbose and not pythonic. So I decide to create something like pip, that is, resolves and installs dependencies in a pythonic way. It is jip.
jip will automatically download jars and its non-optional runtime dependencies from Maven repositories. By default, jip will search your local repository and maven central repository for the requested artifact. Also, you can create a configuration file to overwrite this.
Virtualenv is required by jip. You must run jip within a standalone environment, created by virtualenv:
virtualenv -p /usr/local/bin/jython jython-env
Don’t forget to activate it.
Then download jip with pip:
pip install jip
Now you have pip for python and jip for java. To install a Java package, just type:
jip install <groupId>:<artifactId>:<version>
groupId+artifactId+version is known as the coordinate of a maven artifact. For example, you need spring-core in your jython development:
jip install org.springframework:spring-core:3.0.5.RELEASE
The jars will be stored in javalib directory:
commons-logging-1.1.1.jar spring-core-3.0.5.RELEASE.jar spring-asm-3.0.5.RELEASE.jar
And When you installed jip, I will provide you a jython-all command to include dependencies by default. So use jython-all instead of jython to run your program and the shell.
For traditional Java user, there is a resolve subcommand to download dependencies defined in a pom file. This is more maintainable, some of you may prefer this way to typing it one by one.
jip resolve pom.xml
To define custom repositories, place a dot file .jip in your home directory:
You may have internal Nexus, just append to this file following the pattern.
Finally, a clean subcommand to remove everything you downloaded.
That’s all. You can find the project at:
Your feedback is appreciate. Fire an issue in github if you find any bugs or new ideas about this tool.