text: import solr
  from PIL import Image
  import pytesseract
  import requests
  
  PLACEHOLDER_IMAGE_PATH = '/tmp/best_match_image.jpg'
  BATCH_SIZE = 1000
  
  s = solr.SolrConnection('http://solr-prod.s-9.us:8983/solr/shoprunner')
  start = 0
  iteration = -1
  while True:
      iteration += 1
      start = iteration * BATCH_SIZE
      results = s.query('*:*', fields=['id', 'image_url'], rows=BATCH_SIZE, start=start).results
      image_sets = [(x['id'], x['image_url']) for x in results]
      for doc_id, image_set in image_sets:
          # has all resolutions. we pick the biggest one for best match (hopefully?)
          best_match_image_url = None
          for image in image_set:
              if image.startswith('original|'):
                  best_match_image_url = image[9:]
                  break
          if not best_match_image_url:
              continue
          f = open(PLACEHOLDER_IMAGE_PATH, 'wb')
          image_content = requests.get(best_match_image_url).content
          f.write(image_content)
          f.close()
          image_text = pytesseract.image_to_string(Image.open(PLACEHOLDER_IMAGE_PATH))
          if 'not' in image_text.lower() and 'available' in image_text.lower():
              print doc_id, '-', best_match_image_url, '--', image_text
  
  