bots.yaml

apps:
    example_app_name:

        # From dev.twitter.com
        consumer_key: '...'
        consumer_secret: '...'

users:
    example_screen_name:
        # oauth with twitter to get these
        key: '...'
        secret: '...'

        # this should match one of the apps above
        app: example_app_name

        # If your bot is based on another account, the screen name of that account
        parent: screen_name

        # Location of a text file, with one tweet (or other sentence) per line
        # This can also be set on the command line.
        # This can be a single item or a list
        #
        corpus: tests/data/tweets.txt

        # How many tweets should we check to make sure we're not repeating something we already tweeted?
        checkback: 20

        # This determines how long of a phrase the markov chain be working with.
        # Higher values are slower and hew closer to the corpus
        # Lower values are faster and more oddball
        #
        state_size: 3

        # Words to never tweet
        # These will be added to a built-in blacklist, taken from https://github.com/dariusk/wordfilter
        #
        blacklist:
            - badword
            - evilword

        # With these set to True, we won't tweet these types or learn them from its parent
        #
        no_retweets: False
        no_replies: False

        # With these set, these types of tweets won't be tweeted
        # They will still be fed into the corpus, they will just
        # be filtered out of results
        #
        no_hashtags: False
        no_urls: False
        no_mentions: False
        # Symbols are stock ticker abbreviations like $APPL
        no_symbols: False

        # With these set, the text will be stripped of these entities before being fed to the brain
        # For instance, if filter_hashtags is set,
        # "What's Going On #lemonheads" will be fed to the brain as:
        # ""What's Going On"
        # Take care. Changing the corpus in this way can lead to strange results.
        #
        filter_hashtags: False
        filter_media: False
        filter_urls: False
        filter_mentions: False
        filter_symbols: False

        # By default, wordfilter is applied to the parent's tweets.
        filter_parent_badwords: True