def compute_similarity(job):
"""Return a tuple containing:
(query, filename, similarity, semantic similarity, word order similarity)
calling dmmgmain.similarity().
"""
sim, sem, wos = similarity(job[1][0], job[1][1], job[1][2])
return (job[1][1], job[1][2], sim, sem, wos)
help="Path to the database root")
nltk_updater()
args = parser.parse_args()
if args.delta:
delta = args.delta
else:
delta = None
if args.client:
client.start()
elif args.server:
server.start((delta, args.query, args.rootpath))
else:
if os.path.isfile(args.rootpath):
similarity(delta, args.query, args.rootpath)
elif os.path.isdir(args.rootpath) and os.path.isfile(args.query):
for filepath in filepath_gen(args.rootpath):
similarity(delta, args.query, filepath)
elif os.path.isdir(args.rootpath) and os.path.isdir(args.query):
queryset, testset = server.file_manager(args.query, args.rootpath)
for query_filepath in queryset:
try:
testset.remove(query_filepath)
except KeyError:
pass
for test_filepath in testset:
similarity(delta, query_filepath, test_filepath)
else:
sys.stderr.write('Provide a valid path.\n')
exit(1)