Load everything up. Note that any arg here will override both
        default and custom settings

        @param level: the log level
        @param log_file: boolean t/f whether to log to a file, else stdout
        @param json: boolean t/f whether to write the logs in json

def setup(self, level=None, log_file=None, json=None):
        """
        Load everything up. Note that any arg here will override both
        default and custom settings

        @param level: the log level
        @param log_file: boolean t/f whether to log to a file, else stdout
        @param json: boolean t/f whether to write the logs in json
        """
        self.settings = self.wrapper.load(self.settings_name)

        my_level = level if level else self.settings['LOG_LEVEL']
        # negate because logger wants True for std out
        my_output = not log_file if log_file else self.settings['LOG_STDOUT']
        my_json = json if json else self.settings['LOG_JSON']
        self.logger = LogFactory.get_instance(json=my_json, stdout=my_output,
                                              level=my_level,
                                              name=self.settings['LOGGER_NAME'],
                                              dir=self.settings['LOG_DIR'],
                                              file=self.settings['LOG_FILE'],
                                              bytes=self.settings['LOG_MAX_BYTES'],
                                              backups=self.settings['LOG_BACKUPS'])

        self._decorate_routes()
        self._spawn_redis_connection_thread()
        self._spawn_kafka_connection_thread()

        # spawn heartbeat processing loop
        self._heartbeat_thread = Thread(target=self._heartbeat_loop)
        self._heartbeat_thread.setDaemon(True)
        self._heartbeat_thread.start()

        self.start_time = self.get_time()

        # disable flask logger
        if self.settings['FLASK_LOGGING_ENABLED'] == False:
            log = logging.getLogger('werkzeug')
            log.disabled = True

        self._load_schemas()