class_docstr: Handles Amazon SageMaker DataWrangler tasks
class_docstr_tok: ["Handles","Amazon","SageMaker","DataWrangler","tasks"]
docstr: Creates a ProcessingInput with Data Wrangler recipe uri and appends it to inputs
docstr_tok: ["Creates","a","ProcessingInput","with","Data","Wrangler","recipe","uri","and","appends","it","to","inputs"]
code: def _get_recipe_input(self):
      """Creates a ProcessingInput with Data Wrangler recipe uri and appends it to inputs"""
      return ProcessingInput(
          source=self.data_wrangler_flow_source,
          destination="/opt/ml/processing/flow",
          input_name="flow",
          s3_data_type="S3Prefix",
          s3_input_mode="File",
          s3_data_distribution_type="FullyReplicated",
      )
  
file_path: sagemaker-python-sdk/src/sagemaker/wrangler/processing.py
imports: from __future__ import absolute_import
  from typing import Dict, Optional
  from sagemaker.network import NetworkConfig
  from sagemaker.processing import ProcessingInput, Processor
  from sagemaker import image_uris
  from sagemaker.session import Session
  from sagemaker.utils import format_tags, Tags
label_desc: Use image node_id 3 for calling the DataWranglerProcessor obj's underlying member method code with example usage: obj._get_recipe_input() and returns: ProcessingInput