title: google ml-engine cloud storage as a file
body: <p>I am working in Python with Google Cloud ML-Engine.  The documentation I have found indicates that data storage should be done with Buckets and Blobs</p>
  
  <p><a href="https://cloud.google.com/ml-engine/docs/tensorflow/working-with-cloud-storage" rel="nofollow noreferrer">https://cloud.google.com/ml-engine/docs/tensorflow/working-with-cloud-storage</a></p>
  
  <p>However, much of my code, and the libraries it calls works with files.  Can I somehow treat Google Storage as a file system in my ml-engine code?</p>
  
  <p>I want my code to read like</p>
  
  <pre><code>with open(&lt;something&gt;) as f:
     for line in f:
        dosomething(line)
  </code></pre>
  
  <p>Note that in ml-engine one does not create and configure VM instances.  So I can not mount my own shared filesystem with Filestore. </p>