154 lines
6.0 KiB
Python
154 lines
6.0 KiB
Python
# Copyright 2018 Mycroft AI Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from enum import IntEnum
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from abc import ABC, abstractmethod
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from mycroft import MycroftSkill
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from mycroft.messagebus.message import Message
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from multiprocessing.pool import ThreadPool
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class CQSMatchLevel(IntEnum):
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EXACT = 1 # Skill could find a specific answer for the question
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CATEGORY = 2 # Skill could find an answer from a category in the query
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GENERAL = 3 # The query could be processed as a general quer
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# Copy of CQSMatchLevel to use if the skill returns visual media
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CQSVisualMatchLevel = IntEnum('CQSVisualMatchLevel',
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[e.name for e in CQSMatchLevel])
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def is_CQSVisualMatchLevel(match_level):
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return isinstance(match_level, type(CQSVisualMatchLevel.EXACT))
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VISUAL_DEVICES = ['mycroft_mark_2']
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def handles_visuals(self, platform):
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return platform in VISUAL_DEVICES
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class CommonQuerySkill(MycroftSkill, ABC):
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pool = ThreadPool(5)
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def __init__(self, name=None, bus=None):
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super().__init__(name, bus)
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def bind(self, bus):
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if bus:
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super().bind(bus)
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self.add_event('question:query', self.__handle_question_query)
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self.add_event('question:action', self.__handle_query_action)
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def __handle_question_query(self, message):
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CommonQuerySkill.pool.apply_async(self.__thread_question_query,
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args=[message])
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def __thread_question_query(self, message):
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search_phrase = message.data["phrase"]
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# First, notify the requestor that we are attempting to handle
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# (this extends a timeout while this skill looks for a match)
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self.bus.emit(message.response({"phrase": search_phrase,
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"skill_id": self.skill_id,
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"searching": True}))
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# Now invoke the CQS handler to let the skill perform its search
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result = self.CQS_match_query_phrase(search_phrase)
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if result:
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match = result[0]
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level = result[1]
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answer = result[2]
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callback = result[3] if len(result) > 3 else None
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confidence = self.__calc_confidence(match, search_phrase, level)
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self.bus.emit(message.response({"phrase": search_phrase,
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"skill_id": self.skill_id,
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"answer": answer,
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"callback_data": callback,
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"conf": confidence}))
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else:
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# Signal we are done (can't handle it)
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self.bus.emit(message.response({"phrase": search_phrase,
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"skill_id": self.skill_id,
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"searching": False}))
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def __calc_confidence(self, match, phrase, level):
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# Assume the more of the words that get consumed, the better the match
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consumed_pct = len(match.split()) / len(phrase.split())
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if consumed_pct > 1.0:
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consumed_pct = 1.0
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# Add bonus if match has visuals and the device supports them.
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platform = self.config_core.get('encolsure', {}).get('platform')
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if is_CQSVisualMatchLevel(level) and handles_visuals(platform):
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bonus = 0.1
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else:
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bonus = 0
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if int(level) == int(CQSMatchLevel.EXACT):
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return 0.9 + (consumed_pct / 10) + bonus
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elif int(level) == int(CQSMatchLevel.CATEGORY):
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return 0.6 + (consumed_pct / 10) + bonus
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elif int(level) == int(CQSMatchLevel.GENERAL):
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return 0.5 + (consumed_pct / 10) + bonus
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else:
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return 0.0 # should never happen
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def __handle_query_action(self, message):
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""" Message handler for question:action. Extracts phrase and data from
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message forward this to the skills CQS_action method. """
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if message.data["skill_id"] != self.skill_id:
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# Not for this skill!
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return
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phrase = message.data["phrase"]
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data = message.data.get("callback_data")
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# Invoke derived class to provide playback data
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self.CQS_action(phrase, data)
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@abstractmethod
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def CQS_match_query_phrase(self, phrase):
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"""
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Analyze phrase to see if it is a play-able phrase with this
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skill. Needs to be implemented by the skill.
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Args:
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phrase (str): User phrase uttered after "Play", e.g. "some music"
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Returns:
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(match, CQSMatchLevel[, callback_data]) or None: Tuple containing
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a string with the appropriate matching phrase, the PlayMatch
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type, and optionally data to return in the callback if the
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match is selected.
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"""
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# Derived classes must implement this, e.g.
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return None
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def CQS_action(self, phrase, data):
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"""
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Take additional action IF the skill is selected.
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The speech is handled by the common query but if the chosen skill
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wants to display media, set a context or prepare for sending
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information info over e-mail this can be implemented here.
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Args:
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phrase (str): User phrase uttered after "Play", e.g. "some music"
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data (dict): Callback data specified in match_query_phrase()
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"""
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# Derived classes may implement this if they use additional media
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# or wish to set context after being called.
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pass
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