old_contents: """
  Automated processing of associated exposures
  """
  
  
  
new_contents: """
  Automated processing of associated exposures
  """
  
  def fetch_from_AWS_bucket(root='j022644-044142', id=1161, product='.beams.fits', bucket_name='aws-grivam', verbose=True, dryrun=False, output_path='./', get_fit_args=False, skip_existing=True):
      """
      Fetch products from the Grizli AWS bucket.  
      
      Boto3 will require that you have set up your AWS credentials in, e.g., 
      ~/.aws/credentials
      """
      import os
      import boto3
      
      s3 = boto3.resource('s3')
      s3_client = boto3.client('s3')
      bkt = s3.Bucket(bucket_name)
      
      files = [obj.key for obj in bkt.objects.filter(Prefix='Pipeline/{0}/Extractions/{0}_{1:05d}{2}'.format(root, id, product))]
      
      if get_fit_args:
          files += ['Pipeline/{0}/Extractions/fit_args.npy'.format(root)]
          
      for file in files:
          local = os.path.join(output_path, os.path.basename(file))
          
          if verbose:
              print('{0} -> {1}'.format(file, output_path))
              
          if not dryrun:
              if os.path.exists(local) & skip_existing:
                  continue
              
              bkt.download_file(file, local, 
                            ExtraArgs={"RequestPayer": "requester"})
          
  
subject: Add script to fetch data from AWS