new_contents: import sys
  
  from whoosh import highlight
  from whoosh import qparser
  from whoosh.index import open_dir
  from whoosh.scoring import TF_IDF, BM25F
  
  search_input = sys.argv[1]
  search_type = sys.argv[2]
  operation_type = sys.argv[3]
  
  if search_input.endswith(","):
      search_input = search_input[:-1]
  if search_type.endswith(","):
      search_type = search_type[:-1]
  if(operation_type =="AND"):
      op_type = qparser.AndGroup
  elif(operation_type=="OR"):
      op_type = qparser.OrGroup
  else:
      op_type = qparser.AndGroup
  
  dirname = "indexdir"
  ix = open_dir(dirname)
  qp = qparser.MultifieldParser(['content', 'path', 'title', 'head1', 'head2', 'head3', 'head4'], ix.schema,
                                group=op_type)
  qp.add_plugin(qparser.PlusMinusPlugin)
  query = qp.parse(search_input)
  # print(query)
  if search_type == "BM25":
      w = BM25F(B=0.75, K1=1.5)
  elif search_type == "TFIDF":
      w = TF_IDF()
  else:
      w = BM25F(B=0.75, K1=1.5,)
  with ix.searcher(weighting=w) as searcher:
      results = searcher.search(query, terms=True)
      results.fragmenter = highlight.ContextFragmenter(maxchars=50, surround=50, )
      # print(list(searcher.lexicon("content")))
      found_doc_num = results.scored_length()
      run_time = results.runtime
  #  -------------------------------for html use---------------------------------
      if found_doc_num == 0:
          final_top_output = "<h1> Sorry " + str(found_doc_num) + " Search Results Found.</h1>" \
              "<h5>Search Results for "+search_input+" using "+search_type+" (" + str(run_time) + " seconds)</h5><br>"
  
      else:
          final_top_output = "<h1> Top " + str(found_doc_num) + " Search Results </h1>" \
              "<h5>Search Results for "+search_input+" using "+search_type +" Ranking and "+ operation_type+\
                             " operation to score (" + str(run_time) + " seconds)</h5><br>"
      print(final_top_output)
      if results:
          for hit in results:
              snip = "<p>" + hit.highlights('content', top=2) + "</p>"
              path = hit['path']
              title = "<h4><a href=\"" + path + "\">" + hit['title'] + "</a></h4>"
              path = "<a href=\"" + path + "\">" + path + "</a>"
              score = hit.score
              score = "<p>" + path + "&nbsp &nbsp &nbsp(Score: " + str(score) + ")</p>"
              print(title, score, '\n', snip, "<br>")
  
  #------------------------------for non html use-------------------------------------------------------------
      # if found_doc_num == 0:
      #     final_top_output = "Sorry " + str(found_doc_num) + " Search Results Found." \
      #         "Search Results for "+search_input+" using "+search_type+" (" + str(run_time) + " seconds)\n"
      #
      # else:
      #     final_top_output = "Top " + str(found_doc_num) + " Search Results" \
      #         "Search Results for "+search_input+" using "+search_type +" Ranking and "+ operation_type+\
      #                        " operation to score (" + str(run_time) + " seconds)"
      # print(final_top_output)
      # if results:
      #     for hit in results:
      #         snip = hit.highlights('content', top=2)
      #         path = hit['path']
      #         title = hit['title']
      #         score = hit.score
      #         score = path + "   (Score: " + str(score) + ")"
      #         print(str(title.encode('utf-8')), '\n', str(score.encode('utf-8')), '\n', snip, "\n")
              # print(list(searcher.lexicon("path")))
  
  
subject: Update search.py