PAnt build tool comes with several Ant tasks to facilitate the use of Jython/Python from Ant.
PAnt tasks have a number of advantages over built-in <script language=”jython”> way of invoking Jython from Ant:
* More graceful exception handling. Jython code invoked using “script” generates long error stack that contains full stack trace of the “script” task itself. Sifting through the traces and trying to distinguish Java trace from Python trace is quite painful. PAnt “jython” task produces brief readable python-only error stack.
* You can use Ant properties as parameters (“jython” task makes them available in the local namespace of the calling script).
* Convenience “import” attribute.
* “jythonInit” task allows for setting python.path using Ant path structure.
* Jython interpreter is initialized once per Ant project. All scripts invoked from the same Ant project reuse the same built-in namespace. So you can define variables and imports in one call and use them in a subsequent call.
* Task name ( the name that prefixes all console output from Ant for a given task) is generated automatically based on the supplied Python code.
* “verbose.jython” property triggers verbose output for jython-related tasks only. This is much easier than trying to scan through hundreds of lines of general “ant -v” verbose log.
Example:
Ant code:
print "Property from ant:", testProp
# define a var that we can use in other scripts
s="test"
print "Var created earlier: ",s
“testmodule” python code:
from pant.pant import project
def test (prop):
print "Passed parameter: ",prop
print "Test property: ", project.properties["testProp"]
Please refer to this build.xml file for more examples.
The tasks can be used independently of PAnt python code.
PAnt Ant Tasks Reference
Getting Started
Download PAnt, extract pant.jar and create “taskdef” as described here
“jythonInit” Task
The tasks initializes jython interpreter. Because of the overhead, the interpreter is initialized only once even if jythonInit is invoked multiple times. The repeating calls are simply ignored.
jythonInit automatically adds pant.pant module to PYTHONPATH.
Attributes:
* pythonPathRef – cachedir used for caching packages (optional). Defaults to ${java.io.tmpdir}/jython_cache (note– this is different from default jython behavior).
Nested elements:
pythonPath – python.path to use defined using Ant path-like structure. Required if “pythonPathRef” attribute was not provided.
Special properties:
log.python.path – if set to “true”, jythonInit will print python path to Ant log. Default: false.
“jython” Task
Invokes python code.
Note: by default, jython does not print python stack trace in case of an exception. To see the trace, run Ant in verbose mode using “-v” or use “-Dverbose.jython=true” property.
Attributes:
* exec – Python code snippet to execute. Typically, this is a function from a module available from python.path. This has to be a single line, e.g., mod.fun() although you could combine multiple statements separated by “;”. Required if “execfile” was not provided.
* import – a convenience attribute for providing “import” statement. Its only purpose is to make the task invocation more readable. Alternatively, you can have “import” as part of the”exec”,e.g., exec="import mod;mod.fun()". Optional.
* execfile – path to a python script file. Required if “exec” was not provided.
Nested elements:
Inline text with python code.
Special properties:
verbose.jython – if set to “true”, jython will print additional information about executing python code to Ant log. Default: false.
pimport Task
Creates Ant targets from a python module. Functions that will be used as targets have to be marked using “@target” decorator as described here.
Python module name is used as Ant project name. Target overriding works the same way with Ant import task. In other words, targets defined using pimport will override targets previously defined using “import” or “pimport” tasks.
Attributes:
module – python module to create targets from. The module has to be available from python.path specified using jythonInit.
