I have several (SQLCreator) sources and other transformers all feeding into a PythonCaller. I'm using the PythonCaller to pull certain attributes from each feature and create new features.
Is there a good way to determine which features come from which sources/transformers inside the Python script?
Currently I'm testing each feature for specific attributes, but this will not work for situations where features from multiple sources have the same attributes.
I create a specific attribute, that explicitly contains what "stream" the data is coming from.
There is an attributeCreator on each stream just prior to the PythonCaller, with a common attribute (I use _!type) with a different value for each stream. I retrieve that value in the PythonCaller and test for the various values.
Likewise if I want to split the output, I attach a temporary attribute to the outgoing feature and use a tester/testfilter after the PythonCaller.
Hello @carlreedw
For these transformers:
The following python code will display:
Creator_CREATED
Creator_2_CREATED
import fme
import fmeobjects
class FeatureProcessor(object):
def __init__(self):
pass
def input(self,feature):
print str(feature.getFeatureType())
self.pyoutput(feature)
def close(self):
pass
Regards,
Larry