I have 2 features feeding into a Python Caller and I'd like to separate each feature into it's own array. When I read an attribute that is in the first feature, but not the second, I get several None values in addition to the first feature's values.
Question
How do to split features coming into python caller?
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@danilo_inovacao . See below. I have 2 tables feeding into the PythonCaller_2.
I've grouped each feature into it's own list in an attempt to separate them, but when I feed them into the python caller, it treats it as one.
+52- Celebrity
@danilo_inovacao . See below. I have 2 tables feeding into the PythonCaller_2.
I've grouped each feature into it's own list in an attempt to separate them, but when I feed them into the python caller, it treats it as one.
@danilo_inovacao . See below. I have 2 tables feeding into the PythonCaller_2.
I've grouped each feature into it's own list in an attempt to separate them, but when I feed them into the python caller, it treats it as one.
+52- Celebrity
@danilo_inovacao Sorry about that. See images below. Let me know if you need more info.
Hi @brinne, i believe the problem is the list attribute created before the transformer PythonCaller.
Has a interesting link Unpacking Python Array and Python and Lists
Thanks,
Danilo
+7Hi @brinne,
Do you mean "how do I keep 2 different features apart in a PythonCaller"? If this is the case, then the answer already lies in the question: 2 different features. What makes the features different from each other? They come from different Readers, they might have different geometry types, etc. So you could use some attribute (e.g. fme_feature_type, fme_basename, etc. or a common attribute in both datasets that already exists or that you created yourself) to distinct between the two and use some logic like this in your PythonCaller:
class FeatureProcessor(object): def __init__(self): self.feature_list_1 = [] self.feature_list_2 = [] def input(self, feature): tag = feature.getAttribute("your_attribute") if tag == "feature_type_1": self.feature_list_1.append(feature.clone()) elif tag == "feature_type_2": self.feature_list_2.append(feature.clone()) else: return # feature must have a tag ...You could wrap your PythonCaller in a custom transformer for convenience, like in dualportpythoncaller.zip.
Hi @brinne,
Do you mean "how do I keep 2 different features apart in a PythonCaller"? If this is the case, then the answer already lies in the question: 2 different features. What makes the features different from each other? They come from different Readers, they might have different geometry types, etc. So you could use some attribute (e.g. fme_feature_type, fme_basename, etc. or a common attribute in both datasets that already exists or that you created yourself) to distinct between the two and use some logic like this in your PythonCaller:
class FeatureProcessor(object): def __init__(self): self.feature_list_1 = [] self.feature_list_2 = [] def input(self, feature): tag = feature.getAttribute("your_attribute") if tag == "feature_type_1": self.feature_list_1.append(feature.clone()) elif tag == "feature_type_2": self.feature_list_2.append(feature.clone()) else: return # feature must have a tag ...You could wrap your PythonCaller in a custom transformer for convenience, like in dualportpythoncaller.zip.
+7Nice solution. But the indents are weird, looks like the code tag doesn't like tabs?
+7Why not use two PythonCallers for each, if you'd process the two features separately?
But my guess is that you would like to do some kind of custom FeatureMerger? I included the link to the documentation, just in case that was the transformer you were looking for ;)
Why not use two PythonCallers for each, if you'd process the two features separately?
Nice solution. But the indents are weird, looks like the code tag doesn't like tabs?
Maybe so. The indentations are still collapsed...
+7Nice solution. But the indents are weird, looks like the code tag doesn't like tabs?
Didn't notice the indents issue at first (it looks alright on my machine - but I'm on Mac, so it might be a formatting bug), but when I use the +/- button to expand/collapse the code, weird things happen. Thanks for noticing, I fixed the indents and reattached the workspace!
Ah, you (and @takashi) meant in my workspace?
Didn't notice the indents issue at first (it looks alright on my machine - but I'm on Mac, so it might be a formatting bug), but when I use the +/- button to expand/collapse the code, weird things happen. Thanks for noticing, I fixed the indents and reattached the workspace!
Tabs can be tricky and can behave differently depending on platforms, so personally I tend to avoid them :-)
Ah, you (and @takashi) meant in my workspace?
Didn't notice the indents issue at first (it looks alright on my machine - but I'm on Mac, so it might be a formatting bug), but when I use the +/- button to expand/collapse the code, weird things happen. Thanks for noticing, I fixed the indents and reattached the workspace!