41 lines
1.5 KiB
Python
41 lines
1.5 KiB
Python
# Copyright 2017 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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#
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import re
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from mycroft.util.parse import normalize
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from mycroft_bus_client.message import dig_for_message
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import mycroft_bus_client
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class Message(mycroft_bus_client.Message):
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"""Mycroft specific Message class."""
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def utterance_remainder(self):
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"""
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For intents get the portion not consumed by Adapt.
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For example: if they say 'Turn on the family room light' and there are
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entity matches for "turn on" and "light", then it will leave behind
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" the family room " which is then normalized to "family room".
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Returns:
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str: Leftover words or None if not an utterance.
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"""
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utt = normalize(self.data.get("utterance", ""))
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if utt and "__tags__" in self.data:
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for token in self.data["__tags__"]:
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# Substitute only whole words matching the token
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utt = re.sub(r'\b' + token.get("key", "") + r"\b", "", utt)
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return normalize(utt)
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