def setUp(self):
"""
Instantiate the trainer class for testing.
"""
super(TwitterTrainerTestCase, self).setUp()
self.trainer = TwitterTrainer(
self.chatbot.storage,
twitter_consumer_key='twitter_consumer_key',
twitter_consumer_secret='twitter_consumer_secret',
twitter_access_token_key='twitter_access_token_key',
twitter_access_token_secret='twitter_access_token_secret'
)
self.trainer.api = Mock()
self.trainer.api.GetSearch = MagicMock(side_effect=get_search_side_effect)
self.trainer.api.GetStatus = MagicMock(side_effect=get_status_side_effect)
To use this example, create a new file called settings.py.
In settings.py define the following:
TWITTER = {
"CONSUMER_KEY": "my-twitter-consumer-key",
"CONSUMER_SECRET": "my-twitter-consumer-secret",
"ACCESS_TOKEN": "my-access-token",
"ACCESS_TOKEN_SECRET": "my-access-token-secret"
}
'''
# Comment out the following line to disable verbose logging
logging.basicConfig(level=logging.INFO)
chatbot = ChatBot("TwitterBot",
logic_adapters=["chatterbot.logic.BestMatch"],
input_adapter="chatterbot.input.TerminalAdapter",
output_adapter="chatterbot.output.TerminalAdapter",
database_uri="./twitter-database.db",
twitter_consumer_key=TWITTER["CONSUMER_KEY"],
twitter_consumer_secret=TWITTER["CONSUMER_SECRET"],
twitter_access_token_key=TWITTER["ACCESS_TOKEN"],
twitter_access_token_secret=TWITTER["ACCESS_TOKEN_SECRET"])
trainer = TwitterTrainer(chatbot)
trainer.train()
chatbot.logger.info('Trained database generated successfully!')
