mycroft-core/mycroft/skills/common_query_skill.py

154 lines
6.0 KiB
Python

# Copyright 2018 Mycroft AI Inc.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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 enum import IntEnum
from abc import ABC, abstractmethod
from mycroft import MycroftSkill
from mycroft.messagebus.message import Message
from multiprocessing.pool import ThreadPool
class CQSMatchLevel(IntEnum):
EXACT = 1 # Skill could find a specific answer for the question
CATEGORY = 2 # Skill could find an answer from a category in the query
GENERAL = 3 # The query could be processed as a general quer
# Copy of CQSMatchLevel to use if the skill returns visual media
CQSVisualMatchLevel = IntEnum('CQSVisualMatchLevel',
[e.name for e in CQSMatchLevel])
def is_CQSVisualMatchLevel(match_level):
return isinstance(match_level, type(CQSVisualMatchLevel.EXACT))
VISUAL_DEVICES = ['mycroft_mark_2']
def handles_visuals(self, platform):
return platform in VISUAL_DEVICES
class CommonQuerySkill(MycroftSkill, ABC):
pool = ThreadPool(5)
def __init__(self, name=None, bus=None):
super().__init__(name, bus)
def bind(self, bus):
if bus:
super().bind(bus)
self.add_event('question:query', self.__handle_question_query)
self.add_event('question:action', self.__handle_query_action)
def __handle_question_query(self, message):
CommonQuerySkill.pool.apply_async(self.__thread_question_query,
args=[message])
def __thread_question_query(self, message):
search_phrase = message.data["phrase"]
# First, notify the requestor that we are attempting to handle
# (this extends a timeout while this skill looks for a match)
self.bus.emit(message.response({"phrase": search_phrase,
"skill_id": self.skill_id,
"searching": True}))
# Now invoke the CQS handler to let the skill perform its search
result = self.CQS_match_query_phrase(search_phrase)
if result:
match = result[0]
level = result[1]
answer = result[2]
callback = result[3] if len(result) > 3 else None
confidence = self.__calc_confidence(match, search_phrase, level)
self.bus.emit(message.response({"phrase": search_phrase,
"skill_id": self.skill_id,
"answer": answer,
"callback_data": callback,
"conf": confidence}))
else:
# Signal we are done (can't handle it)
self.bus.emit(message.response({"phrase": search_phrase,
"skill_id": self.skill_id,
"searching": False}))
def __calc_confidence(self, match, phrase, level):
# Assume the more of the words that get consumed, the better the match
consumed_pct = len(match.split()) / len(phrase.split())
if consumed_pct > 1.0:
consumed_pct = 1.0
# Add bonus if match has visuals and the device supports them.
platform = self.config_core.get('encolsure', {}).get('platform')
if is_CQSVisualMatchLevel(level) and handles_visuals(platform):
bonus = 0.1
else:
bonus = 0
if int(level) == int(CQSMatchLevel.EXACT):
return 0.9 + (consumed_pct / 10) + bonus
elif int(level) == int(CQSMatchLevel.CATEGORY):
return 0.6 + (consumed_pct / 10) + bonus
elif int(level) == int(CQSMatchLevel.GENERAL):
return 0.5 + (consumed_pct / 10) + bonus
else:
return 0.0 # should never happen
def __handle_query_action(self, message):
""" Message handler for question:action. Extracts phrase and data from
message forward this to the skills CQS_action method. """
if message.data["skill_id"] != self.skill_id:
# Not for this skill!
return
phrase = message.data["phrase"]
data = message.data.get("callback_data")
# Invoke derived class to provide playback data
self.CQS_action(phrase, data)
@abstractmethod
def CQS_match_query_phrase(self, phrase):
"""
Analyze phrase to see if it is a play-able phrase with this
skill. Needs to be implemented by the skill.
Args:
phrase (str): User phrase uttered after "Play", e.g. "some music"
Returns:
(match, CQSMatchLevel[, callback_data]) or None: Tuple containing
a string with the appropriate matching phrase, the PlayMatch
type, and optionally data to return in the callback if the
match is selected.
"""
# Derived classes must implement this, e.g.
return None
def CQS_action(self, phrase, data):
"""
Take additional action IF the skill is selected.
The speech is handled by the common query but if the chosen skill
wants to display media, set a context or prepare for sending
information info over e-mail this can be implemented here.
Args:
phrase (str): User phrase uttered after "Play", e.g. "some music"
data (dict): Callback data specified in match_query_phrase()
"""
# Derived classes may implement this if they use additional media
# or wish to set context after being called.
pass