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60 lines
1.9 KiB
60 lines
1.9 KiB
from __future__ import unicode_literals
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from ..conversation import Statement
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from . import BestMatch
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class LowConfidenceAdapter(BestMatch):
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"""
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Returns a default response with a high confidence
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when a high confidence response is not known.
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:kwargs:
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* *threshold* (``float``) --
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The low confidence value that triggers this adapter.
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Defaults to 0.65.
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* *default_response* (``str``) or (``iterable``)--
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The response returned by this logic adaper.
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* *response_selection_method* (``str``) or (``callable``)
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The a response selection method.
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Defaults to ``get_first_response``.
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"""
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def __init__(self, **kwargs):
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super(LowConfidenceAdapter, self).__init__(**kwargs)
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self.confidence_threshold = kwargs.get('threshold', 0.65)
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default_responses = kwargs.get(
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'default_response', "I'm sorry, I do not understand."
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)
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# Convert a single string into a list
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if isinstance(default_responses, str):
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default_responses = [
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default_responses
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]
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self.default_responses = [
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Statement(text=default) for default in default_responses
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]
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def process(self, input_statement):
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"""
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Return a default response with a high confidence if
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a high confidence response is not known.
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"""
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# Select the closest match to the input statement
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closest_match = self.get(input_statement)
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# Choose a response from the list of options
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response = self.select_response(input_statement, self.default_responses)
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# Confidence should be high only if it is less than the threshold
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if closest_match.confidence < self.confidence_threshold:
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response.confidence = 1
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else:
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response.confidence = 0
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return response
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