def query_line(line, models, use_duration, window):
ret = addict.Dict()
ret.term, paths = history.build(line)
if ret.term and paths:
assert len(paths) == 1
ret.path = paths[0]
ret.result = query(ret.term, ret.path, models,
decision=False,
use_duration=use_duration,
window=window)
return ret
return {}
def main():
args = docopt(__doc__)
for line in sys.stdin:
term, histories = history.build(line)
if term and histories:
assert len(histories) == 1
if args['train']:
mergers = int(args['-m'])
reducers = int(args['-r'])
key = term
n = int(ceil(pow(reducers, 1.0 / mergers)))
for i in xrange(mergers):
key += '-%d' % randint(0, n)
forward(key, stream.encode(histories))
elif args['classify']:
fields = history.extract_fields(line)
forward(fields.mid_terminal, fields.uid, fields.bid, fields.aid,
stream.encode(histories))
