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evaluator.py
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evaluator.py
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import random
import sys
sys.path.append('..')
from preprocessing.utils.dbPointer import queryResultVenues
import json
domains = ['restaurant', 'hotel', 'attraction', 'train', 'taxi', 'hospital', 'police']
requestables = ['phone', 'address', 'postcode', 'reference', 'id']
def issubset(A, B):
A = set(A)
B = set(B)
return A.issubset(B)
def parseGoal(goal, d, domain):
"""Parses user goal into dictionary format."""
goal[domain] = {}
goal[domain] = {'informable': [], 'requestable': [], 'booking': []}
if 'info' in d['goal'][domain]:
if domain == 'train':
# we consider dialogues only where train had to be booked!
if 'book' in d['goal'][domain]:
goal[domain]['requestable'].append('reference')
if 'reqt' in d['goal'][domain]:
if 'trainID' in d['goal'][domain]['reqt']:
goal[domain]['requestable'].append('id')
else:
if 'reqt' in d['goal'][domain]:
for s in d['goal'][domain]['reqt']: # addtional requests:
if s in ['phone', 'address', 'postcode', 'reference', 'id']:
# ones that can be easily delexicalized
goal[domain]['requestable'].append(s)
if 'book' in d['goal'][domain]:
goal[domain]['requestable'].append("reference")
goal[domain]["informable"] = d['goal'][domain]['info']
if 'book' in d['goal'][domain]:
goal[domain]["booking"] = d['goal'][domain]['book']
return goal
def evaluateModel(dialogues, mode='valid'):
"""Gathers statistics for the whole sets."""
fin1 = open('data/delex.json')
delex_dialogues = json.load(fin1)
successes, matches = 0, 0
real_sucesses, real_matches = 0, 0
total = 0
gen_stats = {'restaurant': [0, 0, 0], 'hotel': [0, 0, 0], 'attraction': [0, 0, 0], 'train': [0, 0, 0], 'taxi': [0, 0, 0],
'hospital': [0, 0, 0], 'police': [0, 0, 0]}
sng_gen_stats = {'restaurant': [0, 0, 0], 'hotel': [0, 0, 0], 'attraction': [0, 0, 0], 'train': [0, 0, 0],
'taxi': [0, 0, 0],
'hospital': [0, 0, 0], 'police': [0, 0, 0]}
filenames = sorted(dialogues.keys())
for filename in filenames:
dial = dialogues[filename]
if filename not in delex_dialogues:
filename += ".json"
data = delex_dialogues[filename]
success, match, _ = evaluateDialogue(dial, data)
successes += success
matches += match
total += 1
# Print results
matches = matches / float(total) * 100
successes = successes / float(total) * 100
print('Corpus Entity Matches : %2.2f%%' % (matches))
print('Corpus Requestable Success : %2.2f%%' % (successes))
# return "{}_{}".format("%2.2f"%bleu, matches, successes)
def evaluateDialogue(dialog, realDialogue):
# get the list of domains in the goal
goal = {}
for domain in domains:
if realDialogue['goal'][domain]:
goal = parseGoal(goal, realDialogue, domain)
real_requestables = {}
for domain in goal.keys():
real_requestables[domain] = goal[domain]['requestable']
# CHECK IF MATCH HAPPENED
provided_requestables = {}
venue_offered = {}
for domain in goal.keys():
venue_offered[domain] = []
provided_requestables[domain] = []
for t, sent_t in enumerate(dialog):
#sent_t = sent_t.replace("colleges", "[attaraction_name]")
#sent_t = sent_t.replace("college", "[attaraction_name]")
for domain in goal.keys():
# Search for the only restaurant, hotel, attraction or train with an ID
if '[' + domain + '_name]' in sent_t or 'trainid]' in sent_t:
if domain in ['restaurant', 'hotel', 'attraction', 'train']:
# HERE YOU CAN PUT YOUR BELIEF STATE ESTIMATION
venues = queryResultVenues(domain, realDialogue['log'][t * 2 + 1])
# if venue has changed
if len(venue_offered[domain]) == 0 and venues:
venue_offered[domain] = venues # random.sample(venues, 1)
else:
flag = True
for ven in venue_offered[domain]:
if ven not in venues:
flag = False
break
if not flag and venues: # sometimes there are no results so sample won't work
venue_offered[domain] = venues
else:
venue_offered[domain] = '[' + domain + '_name]'
# ATTENTION: assumption here - we didn't provide phone or address twice! etc
for requestable in requestables:
if requestable == 'reference':
if domain + '_reference' in sent_t:
if 'restaurant_reference' in sent_t:
if realDialogue['log'][t * 2]['db_pointer'][-5] == 1: # if pointer was allowing for that?
provided_requestables[domain].append('reference')
elif 'hotel_reference' in sent_t:
if realDialogue['log'][t * 2]['db_pointer'][-3] == 1: # if pointer was allowing for that?
provided_requestables[domain].append('reference')
elif 'train_reference' in sent_t:
if realDialogue['log'][t * 2]['db_pointer'][-1] == 1: # if pointer was allowing for that?
provided_requestables[domain].append('reference')
else:
provided_requestables[domain].append('reference')
else:
if domain + '_' + requestable + ']' in sent_t:
provided_requestables[domain].append(requestable)
# if name was given in the task
for domain in goal.keys():
# if name was provided for the user, the match is being done automatically
if 'name' in goal[domain]['informable']:
venue_offered[domain] = '[' + domain + '_name]'
# special domains - entity does not need to be provided
if domain in ['taxi', 'police', 'hospital']:
venue_offered[domain] = '[' + domain + '_name]'
if domain == 'train':
if not venue_offered[domain]:
if goal[domain]['requestable'] and 'id' not in goal[domain]['requestable']:
venue_offered[domain] = '[' + domain + '_name]'
"""
Given all inform and requestable slots
we go through each domain from the user goal
and check whether right entity was provided and
all requestable slots were given to the user.
The dialogue is successful if that's the case for all domains.
"""
# HARD EVAL
stats = {'restaurant': [0, 0, 0], 'hotel': [0, 0, 0], 'attraction': [0, 0, 0], 'train': [0, 0, 0], 'taxi': [0, 0, 0],
'hospital': [0, 0, 0], 'police': [0, 0, 0]}
match = 0
success = 0
# MATCH
for domain in goal.keys():
match_stat = 0
if domain in ['restaurant', 'hotel', 'attraction', 'train']:
if type(venue_offered[domain]) is str and '_name' in venue_offered[domain]:
match += 1
match_stat = 1
elif venue_offered[domain]:
groundtruth = queryResultVenues(domain, goal[domain]['informable'], real_belief=True)
if issubset(venue_offered[domain], groundtruth):
match += 1
match_stat = 1
else:
if '[' + domain + '_name]' in venue_offered[domain]:
match += 1
match_stat = 1
stats[domain][0] = match_stat
stats[domain][2] = 1
if match == len(goal):
match = 1
else:
match = 0
# SUCCESS
if match:
for domain in goal.keys():
success_stat = 0
domain_success = 0
if len(real_requestables[domain]) == 0:
success += 1
success_stat = 1
stats[domain][1] = success_stat
continue
# if values in sentences are super set of requestables
for request in set(provided_requestables[domain]):
if request in real_requestables[domain]:
domain_success += 1
if domain_success >= len(real_requestables[domain]):
success += 1
success_stat = 1
stats[domain][1] = success_stat
if success >= len(real_requestables):
success = 1
else:
success = 0
# rint requests, 'DIFF', requests_real, 'SUCC', success
return success, match, stats