Source code for deeppavlov.agents.processors.default_rich_content_processor

# Copyright 2017 Neural Networks and Deep Learning lab, MIPT
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#     http://www.apache.org/licenses/LICENSE-2.0
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from deeppavlov.core.agent.processor import Processor
from deeppavlov.core.agent.rich_content import RichMessage
from deeppavlov.agents.rich_content.default_rich_content import PlainText


[docs]class DefaultRichContentWrapper(Processor): """Returns RichControl wrapped responses with highest confidence.""" def __init__(self, *args, **kwargs) -> None: pass def __call__(self, utterances: list, batch_history: list, *responses: list) -> list: """Selects for each utterance response with highest confidence and wraps them to RichControl objects. Args: utterances_batch: Not used. history_batch: Not used. responses: Each response positional argument corresponds to response of one of Agent skills and is represented by batch (list) of (response, confidence) tuple structures. Returns: result: A batch of responses corresponding to the utterance batch received by agent. """ responses, confidences = zip(*[zip(*r) for r in responses]) indexes = [c.index(max(c)) for c in zip(*confidences)] result = [] for i, *responses in zip(indexes, *responses): rich_message = RichMessage() plain_text = PlainText(str(responses[i])) rich_message.add_control(plain_text) result.append(rich_message) return result