Upload database.py
Browse files- database.py +67 -0
database.py
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import json
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import os
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import random
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from fuzzywuzzy import fuzz
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from itertools import chain
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from zipfile import ZipFile
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from copy import deepcopy
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from convlab.util.unified_datasets_util import BaseDatabase, download_unified_datasets
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class Database(BaseDatabase):
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def __init__(self):
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"""extract data.zip and load the database."""
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data_path = download_unified_datasets('camrest', 'data.zip', os.path.dirname(os.path.abspath(__file__)))
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archive = ZipFile(data_path)
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self.dbs = {}
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with archive.open('data/CamRestDB.json') as f:
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self.dbs['restaurant'] = json.loads(f.read())
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self.slot2dbattr = {
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'price range': 'pricerange',
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}
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def query(self, domain: str, state: dict, topk: int, ignore_open=False, soft_contraints=(), fuzzy_match_ratio=60) -> list:
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"""return a list of topk entities (dict containing slot-value pairs) for a given domain based on the dialogue state."""
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# query the db
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assert domain == 'restaurant'
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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))
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found = []
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for i, record in enumerate(self.dbs[domain]):
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constraints_iterator = zip(state, [False] * len(state))
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soft_contraints_iterator = zip(soft_contraints, [True] * len(soft_contraints))
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for (key, val), fuzzy_match in chain(constraints_iterator, soft_contraints_iterator):
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if val in ["", "dont care", 'not mentioned', "don't care", "dontcare", "do n't care"]:
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pass
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else:
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try:
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if key not in record:
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continue
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if record[key].strip() == '?':
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# '?' matches any constraint
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continue
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else:
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if not fuzzy_match:
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if val.strip().lower() != record[key].strip().lower():
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break
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else:
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if fuzz.partial_ratio(val.strip().lower(), record[key].strip().lower()) < fuzzy_match_ratio:
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break
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except:
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continue
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else:
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res = deepcopy(record)
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res['Ref'] = '{0:08d}'.format(i)
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found.append(res)
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if len(found) == topk:
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return found
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return found
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if __name__ == '__main__':
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db = Database()
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assert issubclass(Database, BaseDatabase)
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assert isinstance(db, BaseDatabase)
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res = db.query("restaurant", [['price range', 'expensive']], topk=3)
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print(res, len(res))
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# print(db.query("hotel", [['price range', 'moderate'], ['stars','4'], ['type', 'guesthouse'], ['internet', 'yes'], ['parking', 'no'], ['area', 'east']]))
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