import http, sys, completionLister, Features, SimpleMixer, PerceptronMixer, \
argparse, Logger, Tracker, NaiveBayesMixer
from ContextClassifier import ContextClassifier
from KNClassifier import KNClassifier
from Feature import Feature
parser = argparse.ArgumentParser(description='run autocomplete server')
parser.add_argument("-p",
"--port",
type=int,
default=8082,
help="set port on which server listens for http requests")
parser.add_argument("directories",
nargs="+",
help="list of directories on which to train classifier")
args = parser.parse_args()
Logger.init(Tracker.DIR + '/logs')
features = Features.feature.values()
# cls = ContextClassifier(NaiveBayesMixer.NaiveBayesMixer(), features)
cls = ContextClassifier(SimpleMixer.SimpleMixer(),
[Features.NgramFeatureChain(4)])
lister = completionLister.CompletionLister(cls)
lister.scanDirs(args.directories)
server = http.Server(args.port, lister)
server.run()
