Two transformers to look at will be the TextDecoder (can decoded the base64) and the AttributeFileWriter which can write the contents of an attribute to a file

Hi @hkingsbury, thanks for your help, it helped to show the way to unlock AI capabilities in FME 2024, using PythonCaller I asked to the AI and it provided this code:

import fme
import fmeobjects


class FeatureProcessor(object):

    def __init__(self):
        pass

    def input(self, feature: fmeobjects.FMEFeature):
        # Retrieve the _response_body attribute from the feature
        response_body = feature.getAttribute('_response_body')

        # Assuming response_body contains binary data for the raster
        # Convert the binary data to a raster file
        # This example saves the raster to a temporary file. Adjust the path as necessary.
        raster_file_path = r'YOURFILEPATH\raster.tif'
        with open(raster_file_path, 'wb') as file:
            file.write(response_body)

        # Optionally, set the path of the raster file as an attribute to the feature
        feature.setAttribute('rasterFilePath', raster_file_path)

        # Output the feature
        self.pyoutput(feature)

This helped to convert my api _responsebody input data and then stored it into the specific path.

Sharing it to newbies in the future to have a nice way to solve this issue.

Regards!

Nice job @armando_amador! Did you try the AttributeFileWriter? You’ll be able to achieve the same outcome without needing python