code: def action_cache_reset():
      
      printDebug("""The existing cache will be erased and recreated.""")
      printDebug(
          """This operation may take several minutes, depending on how many files exist in your local library."""
      )
      ONTOSPY_LOCAL_MODELS = get_home_location()
      # https://stackoverflow.com/questions/185936/how-to-delete-the-contents-of-a-folder-in-python
      # NOTE This will not only delete the contents but the folder itself as well.
      shutil.rmtree(ONTOSPY_LOCAL_CACHE_TOP)
  
      var = input(Style.BRIGHT + "=====\nProceed? (y/n) " + Style.RESET_ALL)
      if var == "y":
          repo_contents = get_localontologies()
          print(Style.BRIGHT +
                "\n=====\n%d ontologies available in the local library\n=====" %
                len(repo_contents) + Style.RESET_ALL)
          for onto in repo_contents:
              fullpath = ONTOSPY_LOCAL_MODELS + "/" + onto
              try:
                  print(Fore.RED + "\n=====\n" + onto + Style.RESET_ALL)
                  print("Loading graph...")
                  g = Ontospy(fullpath)
                  print("Loaded ", fullpath)
              except:
                  g = None
                  print(
                      "Error parsing file. Please make sure %s contains valid RDF."
                      % fullpath)
  
              if g:
                  print("Caching...")
                  do_pickle_ontology(onto, g)
  
          print(Style.BRIGHT + "===Completed===" + Style.RESET_ALL)
  
      else:
          print("Goodbye")
docs: Delete all contents from cache folder
      Then re-generate cached version of all models in the local repo