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I have a question, i am trying to join in a pythoncaller

 

Only i am getting this error:

BADNEWS: Cannot convert null string into an integer

(C:\code\fme\foundation\framework\util\stf\stfutil.cpp:347) class StatusInfo *__cdecl STF_stringToUInt(const class ObsoleteString &,unsigned int &)

Python Exception <AttributeError>: 'fmeobjects.FMEFeature' object has no attribute 'getAllAttributes'

Traceback (most recent call last):

 File "<string>", line 14, in input

AttributeError: 'fmeobjects.FMEFeature' object has no attribute 'getAllAttributes'

Error encountered while calling method `input'

PythonCaller_FeatureMergerReplacement (PythonFactory): PythonFactory failed to process feature

 

 

The script i am using is:

import fme
import fmeobjects
import pandas as pd
 
class FeatureMergerReplacement(object):
    def __init__(self):
        # Initialiseer de DataFrames
        self.primary_df = pd.DataFrame()
        self.secondary_df = pd.DataFrame()
 
    def input(self, feature):
        # Voeg rij toe aan primary_df
        new_row = pd.DataFrame(/feature.getAllAttributes()], columns=feature.getAllAttributeNames())
        self.primary_df = pd.concat(Âself.primary_df, new_row], ignore_index=True)
    
    def input2(self, feature):
        # Voeg rij toe aan secondary_df
        new_row = pd.DataFrame(ffeature.getAllAttributes()], columns=feature.getAllAttributeNames())
        self.secondary_df = pd.concat( self.secondary_df, new_row], ignore_index=True)
 
    def close(self):
        # Voer de join-operatie uit
        self.merged_df = pd.merge(self.primary_df, self.secondary_df, on='ObservationID', how='inner')
 
        # Itereer over elke rij in het resultaat en stuur terug naar FME
        for index, row in self.merged_df.iterrows():
            feature = fmeobjects.FMEFeature()
            for col in self.merged_df.columns:
                feature.setAttribute(col, rowicol])
            self.pyoutput(feature)

 

 

Firstly, when posting Python code, can you please format it using the "Code snippet" function:

imageIt makes a big difference in readability.

Secondly, to the error message itself, there is no method called "getAllAttributes" in the FMEFeature class definition, see https://docs.safe.com/fme/html/fmepython/api/fmeobjects/_feature/fmeobjects.FMEFeature.html

You can try to use a list comprehension if you need all the values from all the attributes, e.g.:

new_row = pd.DataFrame(afeature.getAttribute(x) for x in feature.getAllAttributeNames()], columns=feature.getAllAttributeNames())

 


Also, I'm not quite sure how "input2()" ever gets called?


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