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import json
import os
import random
from fuzzywuzzy import fuzz
from itertools import chain
from zipfile import ZipFile
from copy import deepcopy
from convlab.util.unified_datasets_util import BaseDatabase, download_unified_datasets
class Database(BaseDatabase):
def __init__(self):
"""extract data.zip and load the database."""
data_path = download_unified_datasets('multiwoz21', 'data.zip', os.path.dirname(os.path.abspath(__file__)))
archive = ZipFile(data_path)
self.domains = ['restaurant', 'hotel', 'attraction', 'train', 'hospital', 'police']
self.dbs = {}
for domain in self.domains:
with archive.open('data/{}_db.json'.format(domain)) as f:
self.dbs[domain] = json.loads(f.read())
# add some missing information
self.dbs['taxi'] = {
"taxi_colors": ["black","white","red","yellow","blue","grey"],
"taxi_types": ["toyota","skoda","bmw","honda","ford","audi","lexus","volvo","volkswagen","tesla"],
"taxi_phone": ["^[0-9]{10}$"]
}
self.dbs['police'][0]['postcode'] = "cb11jg"
for entity in self.dbs['hospital']:
entity['postcode'] = "cb20qq"
entity['address'] = "Hills Rd, Cambridge"
self.slot2dbattr = {
'open hours': 'openhours',
'price range': 'pricerange',
'arrive by': 'arriveBy',
'leave at': 'leaveAt',
'train id': 'trainID'
}
def query(self, domain: str, state: dict, topk: int, ignore_open=False, soft_contraints=(), fuzzy_match_ratio=60) -> list:
"""
return a list of topk entities (dict containing slot-value pairs) for a given domain based on the dialogue state.
:param state: support two formats: 1) [[slot,value], [slot,value]...]; 2) {domain: {slot: value, slot: value...}} (the same as belief state)
"""
if isinstance(state, dict):
assert domain in state, print(f"domain {domain} not in state {state}")
state = state[domain].items()
# query the db
if domain == 'taxi':
return [{'taxi_colors': random.choice(self.dbs[domain]['taxi_colors']),
'taxi_types': random.choice(self.dbs[domain]['taxi_types']),
'taxi_phone': ''.join([str(random.randint(1, 9)) for _ in range(11)])}]
if domain == 'police':
return deepcopy(self.dbs['police'])
if domain == 'hospital':
department = None
for key, val in state:
if key == 'department':
department = val
if not department:
return deepcopy(self.dbs['hospital'])
else:
return [deepcopy(x) for x in self.dbs['hospital'] if x['department'].lower() == department.strip().lower()]
state = list(map(lambda ele: (self.slot2dbattr.get(ele[0], ele[0]), ele[1]) if not(ele[0] == 'area' and ele[1] == 'center') else ('area', 'centre'), state))
found = []
for i, record in enumerate(self.dbs[domain]):
constraints_iterator = zip(state, [False] * len(state))
soft_contraints_iterator = zip(soft_contraints, [True] * len(soft_contraints))
for (key, val), fuzzy_match in chain(constraints_iterator, soft_contraints_iterator):
if val in ["", "dont care", 'not mentioned', "don't care", "dontcare", "do n't care"]:
pass
else:
try:
if key not in record:
continue
if key == 'leaveAt':
val1 = int(val.split(':')[0]) * 100 + int(val.split(':')[1])
val2 = int(record['leaveAt'].split(':')[0]) * 100 + int(record['leaveAt'].split(':')[1])
if val1 > val2:
break
elif key == 'arriveBy':
val1 = int(val.split(':')[0]) * 100 + int(val.split(':')[1])
val2 = int(record['arriveBy'].split(':')[0]) * 100 + int(record['arriveBy'].split(':')[1])
if val1 < val2:
break
# elif ignore_open and key in ['destination', 'departure', 'name']:
elif ignore_open and key in ['destination', 'departure']:
continue
elif record[key].strip() == '?':
# '?' matches any constraint
continue
else:
if not fuzzy_match:
if val.strip().lower() != record[key].strip().lower():
break
else:
if fuzz.partial_ratio(val.strip().lower(), record[key].strip().lower()) < fuzzy_match_ratio:
break
except:
continue
else:
res = deepcopy(record)
res['Ref'] = '{0:08d}'.format(i)
found.append(res)
if len(found) == topk:
return found
return found
if __name__ == '__main__':
db = Database()
assert issubclass(Database, BaseDatabase)
assert isinstance(db, BaseDatabase)
# both calls will be ok
res1 = db.query("restaurant", [['price range', 'expensive']], topk=3)
res2 = db.query("restaurant", {'restaurant':{'price range': 'expensive'}}, topk=3)
assert res1 == res2
print(res1, len(res1))
# print(db.query("hotel", [['price range', 'moderate'], ['stars','4'], ['type', 'guesthouse'], ['internet', 'yes'], ['parking', 'no'], ['area', 'east']])) |