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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('camrest', 'data.zip', os.path.dirname(os.path.abspath(__file__)))
archive = ZipFile(data_path)
self.dbs = {}
with archive.open('data/CamRestDB.json') as f:
self.dbs['restaurant'] = json.loads(f.read())
self.slot2dbattr = {
'price range': 'pricerange',
}
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."""
# query the db
assert domain == 'restaurant'
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 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)
res = db.query("restaurant", [['price range', 'expensive']], topk=3)
print(res, len(res))
# print(db.query("hotel", [['price range', 'moderate'], ['stars','4'], ['type', 'guesthouse'], ['internet', 'yes'], ['parking', 'no'], ['area', 'east']]))
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