# Copyright 2017 Neural Networks and Deep Learning lab, MIPT
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from abc import ABCMeta, abstractmethod
from deeppavlov.core.models.component import Component
[docs]class Filter(Component, metaclass=ABCMeta):
"""Abstract class for filters. Filter is a DeepPavlov component,
which is used in Agent to select utterances from incoming batch
to be processed for each Agent skill.
def __call__(self, utterances_batch: list, history_batch: list) -> list:
"""Returns skills-utterances application matrix.
Returns skills-utterances application matrix which contains
information about Agent skills to be applied to each utterance
from incoming batch.
utterances_batch: A batch of utterances of any type.
history_batch: A batch of list typed histories
for each utterance.
response: Skills-utterances application matrix,
[[True, False, True, True],
[False, True, True, True]]
Where each inner dict corresponds to one of the Agent
skills and each value in the inner dict contains information
about whether the skill will be applied to the utterance
with the same position in the utterances_batch.