data.py.example

class Data():

    # Create a dictionary called intents
    # Each element can be a string or a list of strings,
    # representing a single intent
    # Each string represents a base utterance
    # that can be parsed into multiple utterances.
    #
    # The syntax (AUML) can include the following:
    # - simple, literal words
    # - optional words, if followed by a ?
    # - a list of OR'ed words, offset by () and separated by a |
    # - Alexa literal slots, offset of course by {}
    # - variables, begins with $ (see below)

    intents = {
        # just a single string with a literal word
        'weather': 'weather',

        # A list of strings with more complicated syntax
        'playShow': [
            # $play is a variable (see below)
            # show is just a literal Alexa slot
            # (it won't be altered in resulting utterances)
            "$play {show}"
        ],

        'playNewscast': [
            # $play, as above, is a variable
            # 'the' and 'latest' are optional
            # this will create 40 unique utterances
            "$play the? $newscast"
        ]
    }

    # Variables are a way to re-use phrases
    # across multiple intents and base utterances.
    # So $play maps to the play element of the variables dictionary.
    # This is useful if you are using the same nouns and verbs across intents.
    # And it allows you to sidestep the Alexa rule of only one slot per utterance.
    variables = {
        # Note the syntax:
        # (foo|bar|baz) means:
        # include one (and only one) of the pipe-separated words
        #
        # So "$play {show}" will create 5 separate utterances:
        # - play {show}
        # - play me {show}
        # - I want top listen to {show}
        # - I want to hear {show}
        # - I'd like to hear {show}
        'play': "(play|play me|I want to listen to|I want to hear|I'd like to hear)",
        'newscast': '(news|newscast|news brief|news briefing)'
    }