How to use the jardin.config.logger function in jardin

def write(self, query_builder, **kwargs):
        query = query_builder(**kwargs).query
        config.logger.debug(query)
        self.db.execute(*query)
        row_ids = self.db.lexicon.row_ids(self.db, kwargs['primary_key'])
        if len(row_ids) > 0:
            return self.select(where={kwargs['primary_key']: row_ids})

        return pandas.DataFrame(columns=self.columns())

def insert(self, **kwargs):
        """
        Performs an INSERT statement on the model's table in the master database.

        :param values: A dictionary containing the values to be inserted. ``datetime``, ``dict`` and ``bool`` objects can be passed as is and will be correctly serialized by psycopg2.
        :type values: dict
        """
        if len(kwargs['values']) == 0:
            config.logger.warning('No values to insert.')
            return
        values = kwargs['values']
        if isinstance(values, self):
            values = values.attributes.copy()
        if isinstance(values, dict):
            for (k, v) in list(values.items()):
                if v is None:
                    del kwargs['values'][k]
            
        kwargs['stack'] = self.stack_mark(inspect.stack())
        kwargs['primary_key'] = self.primary_key

        column_names = self.table_schema().keys()
        now = datetime.utcnow()
        for field in [f for f in ('created_at', 'updated_at') if f in column_names]:
            if isinstance(kwargs['values'], dict):

def connect(self):
        connection = super(DatabaseConnection, self).connect()
        connection.initialize(config.logger)
        return connection