As a new feature in jip 0.4, we can use some helpers from jip.dist to simplify package distribution. With jip.dist, you can define Java dependencies for your jython package. In an environment with jip, dependencies will be automatically installed when user uses pip to get you package.
We have two different approaches allow you to choose.
Approach 1, Define dependencies in POM
This is the standard maven way. To describe your jython package and its dependencies, create a pom.xml in your project. The directory hierarchy looks like:
├── app │ ├── module1 │ │ ├── __init__.py │ ├── core.py │ ├── __init__.py ├── LICENSE ├── MANIFEST.in ├── pom.xml ├── README └── setup.py
In pom.xml, just add dependencies as you do with Maven.
...
<dependencies>
<dependency>
<groupid>org.slf4j</groupid>
<artifactid>slf4j-api</artifactid>
<version>1.6.1</version>
</dependency>
<dependency>
<groupid>org.slf4j</groupid>
<artifactid>slf4j-log4j12</artifactid>
<version>1.6.1</version>
</dependency>
...
</dependencies>
<repositories>
<repository>
<id>sonatype-oss-sonatype</id>
<url>http://oss.sonatype.org/content/repositories/snapshots/</url>
</repository>
</repositories>
</project>
You can also define repositories in pom.xml if you use custom repository. (for example, jboss, java.net)
Remember to add pom.xml in your MANIFEST.in, to ensure the file will be packaged into source package:
Approach 2, Define dependencies with Python
You may be tired with endless XML configuration. jip allows you to define dependencies with python, just like gradle with groovy.
In your setup.py, add something like:
'dependencies':[
## (groupdId, artifactId, version)
('org.slf4j', 'slf4j-api', '1.6.1'),
('org.slf4j', 'slf4j-log4j12', '1.6.1'),
('info.sunng.soldat', 'soldat', '1.0-SNAPSHOT'),
('org.apache.mina', 'mina-core', '2.0.2')
],
'repositories':[
('sonatype-oss-snapshot', 'http://oss.sonatype.org/content/repositories/snapshots/')
]
}
Then pass it to setup(). The keyword argument require_java is jip specific.
...
requires_java=requires_java,
...)
Use jip’s setup wrapper
To use jip’s power, the only difference is to use setup() from jip.dist instead of setuptools or distutils.
Then publish your jython package to Python Cheese Shop:
$ jython setup.py sdist upload
Internally, jip uses setuptools. So you can still do jython setup.py develop .
And jip 0.4 is available under MIT License. You are free to use jip.dist in your code.
For your user
You should write a guide forcing users to use your jython application within virtualenv. And install jip as a prerequisite:
$ pip install jip
Then simply install your package with pip:
$ pip install <your-package-name>
No additional step required!
So please just release your jython package with jip !
For more information:
