def __init__(self, verbose = False):
# load modules
# NLU, DB connection test
self.nlu = NLparser(verbose)
# verbose true for DM and NLG
verbose = True
self.dm = DialogManager(verbose)
self.nlg = NLgenerator(verbose)
self.sessionid = date.strftime(date.today(),"%y%m%d") + "_" + time.strftime("%H%M%S")
self.logger = utils.ConsoleAndFileLogger(self.sessionid)
class Agent:
def __init__(self, verbose = False):
# load modules
# NLU, DB connection test
self.nlu = NLparser(verbose)
# verbose true for DM and NLG
verbose = True
self.dm = DialogManager(verbose)
self.nlg = NLgenerator(verbose)
self.sessionid = date.strftime(date.today(),"%y%m%d") + "_" + time.strftime("%H%M%S")
self.logger = utils.ConsoleAndFileLogger(self.sessionid)
def run(self):
self.logger.log("Hello. I am YARB (Yet Another Recommendation Bot).")
self.logger.log("Please tell me your name.")
usermsg = raw_input("> ")
self.logger.logtofile("> " + usermsg)
if (self.dm.processUserName(usermsg) == 1):
self.logger.log("Welcome back, " + usermsg + ".")
else:
self.logger.log("Nice to meet you, " + usermsg + ".")
self.logger.log("If you'd like a recommendation, please tell\nme about what you like or dislike.")
self.dm.loadOptions()
while not self.dm.sessionclosed():
usermsg = raw_input("> ")
self.logger.logtofile("> " + usermsg)
if usermsg == "":
continue
nluoutput = self.nlu.process(usermsg) # NLU
for output in nluoutput:
dmoutput = self.dm.process(output) # DM
#dmoutput = self.dm.process(nluoutput)
response = self.nlg.process(dmoutput) # NLG
self.logger.log(response)
self.dm.saveUserPreferences()
self.logger.log("Session closed [id = {0:s}].".format(self.sessionid))
def test(self, inputfilename):
print 'reading: ' + inputfilename
infile = open(inputfilename, 'r')
num = 1
breakpoint = 29
print 'processing... classifier: trivia'
for line in infile:
# NLU process
input = line.strip()
#print input
nluoutput = self.nlu.process(input) # NLU
#if num != breakpoint and nluoutput.get_classifier() != "userPreference":
# num = num + 1
# continue
#if breakpoint == num:
#print str(num) + ". " + line.replace('\\','') + " --> " + nluoutput.get_classifier() + " , [", nluoutput.tostr_entities(), "]"
#if nluoutput.get_classifier() == "trivia":
print str(num) + ". " + input
dmoutput = self.dm.process(nluoutput)
msg = self.nlg.process(dmoutput)
print "> " + msg
print
num = num + 1
