for x in xr.most_frequent_terms("content", 2000):
query = QueryParser("content", ix.schema).parse(x[1])
r = ix.searcher().search(query,limit=1000)
c = []
d = {}
// list of CVE per keyword
//for v in r: c.append(v["path"]+" ")
d["size"] = str(int(x[0]))
After Change
argParser.add_argument("-m", type=int, default=30, help="most frequent terms (default is 30)")
argParser.add_argument("-l", action="store_true", help="dump all terms encountered in CVE description")
argParser.add_argument("-g", action="store_true", help="graph of most frequent terms with each matching CVE (JSON output)")
argParser.add_argument("-s", action="store_true", default=False, help="enable stemming on graph JSON output (default is False)")
args = argParser.parse_args()
from whoosh.query import *
if args.q:
