Apache Airflow WriteToCsv Operator

DataSourceToCsv.py

# airflow related
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
# other packages
from datetime import datetime, timedelta
from os import environ
import csv

class DataSourceToCsv(BaseOperator):
    """
    Extract data from the data source to CSV file
    """
@apply_defaults
def __init__(
        self,
        bigquery_table_name,
        extract_query,
        connection = #connection,
        *args, **kwargs):
super(DataSourceToCsv, self).__init__(*args, **kwargs)
        self.bigquery_table_name = bigquery_table_name
        self.extract_query = extract_query
        self.connection =  connection
        self.file_path = #filepath_to_save_CSV
def __datasource_to_csv(self, execution_date):
        final_query = self.extract_query.\
                        replace("$EXECUTION_DATE", """'%s'""" % execution_date)
        logging.info("QUERY : %s" % final_query)
        cursor = PostgresHook(self.connection).get_conn().cursor()
        cursor.execute(final_query)
        result = cursor.fetchall()
# Write to CSV file
        temp_path = self.file_path + \
                        self.bigquery_table_name + \
                        '_' + execution_date + '.csv'
        with open(temp_path, 'w') as fp:
            a = csv.writer(fp, quoting = csv.QUOTE_MINIMAL, delimiter = '|')
            a.writerow([i[0] for i in cursor.description])
            a.writerows(result)
# Read CSV file
        full_path = temp_path + '.gz'
        with open(temp_path, 'rb') as f:
            data = f.read()
# Compress CSV file
        with gzip.open(full_path, 'wb') as output:
            try:
                output.write(data)
            finally:
                output.close()
# Close file after reading
        f.close()
        # Delete csv file
        os.remove(temp_path)
        # Change access mode
        os.chmod(full_path, 0o777)

def execute(self, context):
self.__datasource_to_csv(execution_date)