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Add WikipediaResponseAdapter #1748

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2 changes: 2 additions & 0 deletions chatterbot/logic/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,7 @@
from chatterbot.logic.specific_response import SpecificResponseAdapter
from chatterbot.logic.time_adapter import TimeLogicAdapter
from chatterbot.logic.unit_conversion import UnitConversion
from chatterbot.logic.wikipedia_response import WikipediaResponseAdapter

__all__ = (
'LogicAdapter',
Expand All @@ -12,4 +13,5 @@
'SpecificResponseAdapter',
'TimeLogicAdapter',
'UnitConversion',
'WikipediaResponseAdapter'
)
98 changes: 98 additions & 0 deletions chatterbot/logic/wikipedia_response.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,98 @@
from chatterbot.logic import LogicAdapter


class WikipediaResponseAdapter(LogicAdapter):
"""
Return a response which get from Wikipedia.

:kwargs:
* *lang_code* (``str``) --
Decide which language you want to get answers from Wikipedia.
The default is English Wikipedia.
* *cut_threshold* (``int``) --
If the data from Wikipedia is too long,
it's the minimum length to cut. The standard is dot character.
"""

def __init__(self, chatbot, **kwargs):
super().__init__(chatbot, **kwargs)
self.lang_code = kwargs.get('lang_code', 'en')
self.cut_threshold = kwargs.get('cut_threshold', 2)
self.input_text = ''
self.input_search_text = ''
self.find_word = ''
self.response_statement = ''

def can_process(self, statement):
if not self.lang_code:
return False

input_search_text = statement.search_text \
if statement.search_text else \
self.chatbot.storage.tagger.get_text_index_string(statement.text)

for props in input_search_text.split(' '):
props_list = props.split(':')
if props_list[0] == "VERB":
self.find_word = props_list[1]
break

if not self.find_word:
return False

from requests import get

url = 'https://' + self.lang_code + '.wikipedia.org/w/api.php'

query = '?format=json&action=query&prop=extracts' \
+ '&exlimit=1&explaintext&exintro&titles=' \
+ self.find_word \
+ '&redirects=true'

response = get(url=(url + query)).json()

pages = response['query']['pages']

if '-1' in pages.keys():
return False

key = next(iter(pages.keys()))
self.input_text = statement.text
self.input_search_text = input_search_text

response_text = pages[key]['extract']

cut_response = response_text.split('.')

if self.cut_threshold < len(cut_response):
self.response_statement = ''
for i in range(self.cut_threshold):
self.response_statement += cut_response[i] + '.'
else:
self.response_statement = response_text

self.response_statement = \
self.response_statement.replace('\n', ' ')

return True

def process(self, statement,
additional_response_selection_parameters=None):
from chatterbot.conversation import Statement

output_search_text = self.chatbot.storage.tagger.get_text_index_string(
self.response_statement)

response_text = Statement(
text=self.response_statement,
in_response_to=statement.text,
search_text=output_search_text,
search_in_respond_to=self.input_search_text,
)

if statement.text == self.input_text:
response_text.confidence = 1
else:
response_text.confidence = 0

return response_text