database.py

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']]))