Parsing text file with offset field names

Is it too simplistic to suggest you skip row 1 all together and then just have an AttributeManager straight after to map col0 to appropriate value, col1 etc. Hardcoded admittedly but gets the job done.

I think that may be the only solution. But I was hoping it wasn't :).

You could do it dynamically with a pythonCreator

import fmeobjects

class FeatureCreator(object):
    def input(self,feature):
        f = open(FME_MacroValues['SourceDataset_TEXTLINE'],'r')
        header = f.readline()
        attributes = header.split()[1:]  #drop first element
        ct = len(attributes)
        for line in f:
            values = line.split()
            newFeature = fmeobjects.FMEFeature()
            for i in range(ct):
                newFeature.setAttribute(attributes[i],values[i])
            self.pyoutput(newFeature)

You would still need to expose the attributes manually to use them on the canvas

Hi @ogc_ryan I was able to remove the X field from the header when adding a new CSV reader. When you edit the CSV parameters, first change the Attribute Definition to Manual. Un-check X. Under Fields, set "Field Names Line" to "None". Then reset "Data Start Line" to 2.