def input_da_nblist(self):
"""Reads an N-best list of dialogue acts from the input.
:rtype : confusion network
"""
self.init_readline()
nblist = DialogueActNBList()
i = 1
while i < 100:
l = raw_input("User DA %d: " % i).decode('utf8')
if len(l) == 1 and l.startswith("."):
print
break
try:
prob, da = self.parse_input_da(l)
except SemHubException as e:
print e
continue
nblist.add(prob, da)
i += 1
nblist.merge()
nblist.scale()
return nblist.get_confnet()
def main():
import autopath
cfg = Config.load_configs(['resources/default-lz.cfg'],
use_default=False,
project_root=True)
#cfg = {'DM': {'UfalRuleDM':
# {'ontology':"/xdisk/devel/vystadial/alex/applications/" + \
# "CamInfoRest/ontology.cfg",
# 'db_cfg': "/xdisk/devel/vystadial/alex/applications/" + \
# "CamInfoRest/cued_data/CIRdbase_V7_noloc.txt"}}}
u = UfalRuleDM(cfg)
# ufal_ds = u.create_ds()
while 1:
curr_acts = DialogueActNBList()
for ln in sys.stdin:
if len(ln.strip()) == 0:
break
ln = ln.strip()
print ln
score, act = ln.split(" ", 1)
score = float(score)
curr_acts.add(score, DialogueActItem(dai=act))
u.da_in(curr_acts)
print " >", u.da_out()
def filter(self, in_da):
"""Go through the input dialogue acts and pick only the ones
that we can understand and that have good enough confidence."""
new_nblist = DialogueActNBList()
# for each dialogue act item check if it is of known type
# and if it has good probability
for item in in_da:
da = item[1]
new_da = DialogueAct()
for dai in da:
if dai.dat in ["inform", "request"]:
if dai.value is not None and not dai.value in self.policy.values:
continue
if dai.dat in ["inform", "request", "confirm"]:
if not dai.name in self.policy.slots:
continue
# check if the value is in our ontology
#if type(dai.value) is str and \
# self.ontology_unknown_re.match(dai.value):
# continue
if dai.dat in ["inform", "request", "other",
"confirm", "reqalts", "bye",
"restart"]:
new_da.append(dai)
if item[0] >= 0.3: # do not consider things bellow 0.3
if len(new_da) > 0:
new_nblist.add(item[0], new_da)
return new_nblist
def test_merge_slu_nblists_full_nbest_lists(self):
# make sure the alex.components.slu.da.merge_slu_nblists merges nblists correctly
nblist1 = DialogueActNBList()
nblist1.add(0.7, DialogueAct("hello()"))
nblist1.add(0.2, DialogueAct("bye()"))
nblist1.merge().normalise()
# nblist1.normalise()
nblist2 = DialogueActNBList()
nblist2.add(0.6, DialogueAct("hello()"))
nblist2.add(0.3, DialogueAct("restart()"))
nblist2.merge().normalise()
# nblist2.normalise()
nblists = [[0.7, nblist1], [0.3, nblist2]]
merged_nblists = merge_slu_nblists(nblists)
correct_merged_nblists = DialogueActNBList()
correct_merged_nblists.add(0.7 * 0.7, DialogueAct("hello()"))
correct_merged_nblists.add(0.7 * 0.2, DialogueAct("bye()"))
correct_merged_nblists.add(0.7 * 0.1, DialogueAct("other()"))
correct_merged_nblists.add(0.3 * 0.6, DialogueAct("hello()"))
correct_merged_nblists.add(0.3 * 0.3, DialogueAct("restart()"))
correct_merged_nblists.add(0.3 * 0.1, DialogueAct("other()"))
correct_merged_nblists.merge().normalise()
# correct_merged_nblists.normalise()
s = []
s.append("")
s.append("Merged nblists:")
s.append(unicode(merged_nblists))
s.append("")
s.append("Correct merged results:")
s.append(unicode(correct_merged_nblists))
s.append("")
print '\n'.join(s)
self.assertEqual(unicode(merged_nblists),
unicode(correct_merged_nblists))
def test_swapping_merge_normalise(self):
nblist1 = DialogueActNBList()
nblist1.add(0.7, DialogueAct("hello()"))
nblist1.add(0.2, DialogueAct("bye()"))
nblist2 = deepcopy(nblist1)
nblist1.merge().normalise()
nblist2.normalise().merge()
s = []
s.append("")
s.append("Using merge().normalise():")
s.append(unicode(nblist1))
s.append("")
s.append("Using normalise().merge():")
s.append(unicode(nblist2))
s.append("")
self.assertEqual(nblist1, nblist2)
