Conversational Context
A Skill can add context to the Intent Parser to create more natural interaction with Mycroft.
How tall is John Cleese?
"John Cleese is 196 centimeters"Where's he from?
"He's from England"Context is added manually by the Skill creator using either the
self.set_context() method or the @adds_context() decorator.Consider the following intent handlers:
@intent_handler(IntentBuilder().require('PythonPerson').require('Length'))
def handle_length(self, message):
python = message.data.get('PythonPerson')
self.speak('{} is {} cm tall'.format(python, length_dict[python]))
@intent_handler(IntentBuilder().require('PythonPerson').require('WhereFrom'))
def handle_from(self, message):
python = message.data.get('PythonPerson')
self.speak('{} is from {}'.format(python, from_dict[python]))
To interact with the above handlers the user would need to say
User: How tall is John Cleese?
Mycroft: John Cleese is 196 centimeters
User: Where is John Cleese from?
Mycroft: He's from England
To get a more natural response the functions can be changed to let Mycroft know which
PythonPerson we're talking about by using the self.set_context() method to give context: @intent_handler(IntentBuilder().require('PythonPerson').require('Length'))
def handle_length(self, message):
# PythonPerson can be any of the Monty Python members
python = message.data.get('PythonPerson')
self.speak('{} is {} cm tall'.format(python, length_dict[python]))
self.set_context('PythonPerson', python)
@intent_handler(IntentBuilder().require('PythonPerson').require('WhereFrom'))
def handle_from(self, message):
# PythonPerson can be any of the Monty Python members
python = message.data.get('PythonPerson')
self.speak('He is from {}'.format(from_dict[python]))
self.set_context('PythonPerson', python)
When either of the methods are called the
PythonPerson keyword is added to Mycroft's context, which means that if there is a match with Length but PythonPerson is missing Mycroft will assume the last mention of that keyword. The interaction can now become the one described at the top of the page.User: How tall is John Cleese?
Mycroft detects the
Length keyword and the PythonPerson keywordMycroft: 196 centimeters
John Cleese is added to the current context
User: Where's he from?
Mycroft detects the
WhereFrom keyword but not any PythonPerson keyword. The Context Manager is activated and returns the latest entry of PythonPerson which is John CleeseMycroft: He's from England
The context isn't limited by the keywords provided by the current Skill. For example
@intent_handler(IntentBuilder().require(PythonPerson).require(WhereFrom))
def handle_from(self, message):
# PythonPerson can be any of the Monty Python members
python = message.data.get('PythonPerson')
self.speak('He is from {}'.format(from_dict[python]))
self.set_context('PythonPerson', python)
self.set_context('Location', from_dict[python])
Enables conversations with other Skills as well.
User: Where is John Cleese from?
Mycroft: He's from England
User: What's the weather like over there?
Mycroft: Raining and 14 degrees...
To make sure certain Intents can't be triggered unless some previous stage in a conversation has occured. Context can be used to create "bubbles" of available intent handlers.
User: Hey Mycroft, bring me some Tea
Mycroft: Of course, would you like Milk with that?
User: No
Mycroft: How about some Honey?
User: All right then
Mycroft: Here you go, here's your Tea with Honey
from mycroft.skills.context import adds_context, removes_context
class TeaSkill(MycroftSkill):
@intent_handler(IntentBuilder('TeaIntent').require("TeaKeyword"))
@adds_context('MilkContext')
def handle_tea_intent(self, message):
self.milk = False
self.speak('Of course, would you like Milk with that?',
expect_response=True)
@intent_handler(IntentBuilder('NoMilkIntent').require("NoKeyword").
require('MilkContext').build())
@removes_context('MilkContext')
@adds_context('HoneyContext')
def handle_no_milk_intent(self, message):
self.speak('all right, any Honey?', expect_response=True)
@intent_handler(IntentBuilder('YesMilkIntent').require("YesKeyword").
require('MilkContext').build())
@removes_context('MilkContext')
@adds_context('HoneyContext')
def handle_yes_milk_intent(self, message):
self.milk = True
self.speak('What about Honey?', expect_response=True)
@intent_handler(IntentBuilder('NoHoneyIntent').require("NoKeyword").
require('HoneyContext').build())
@removes_context('HoneyContext')
def handle_no_honey_intent(self, message):
if self.milk:
self.speak('Heres your Tea with a dash of Milk')
else:
self.speak('Heres your Tea, straight up')
@intent_handler(IntentBuilder('YesHoneyIntent').require("YesKeyword").
require('HoneyContext').build())
@removes_context('HoneyContext')
def handle_yes_honey_intent(self, message):
if self.milk:
self.speak('Heres your Tea with Milk and Honey')
else:
self.speak('Heres your Tea with Honey')
When starting up only the
TeaIntent will be available. When that has been triggered and MilkContext is added the MilkYesIntent and MilkNoIntent are available since the MilkContext is set. when a yes or no is received the MilkContext is removed and can't be accessed. In it's place the HoneyContext is added making the YesHoneyIntent and NoHoneyIntent available.As you can see, Conversational Context lends itself well to implementing a dialog tree or conversation tree.
Last modified 2yr ago