Coverage for airflow.executors.sequential_executor : 50%

from builtins import str 

import logging 

import subprocess 

from airflow.executors.base_executor import BaseExecutor 

from airflow.utils import State 

class SequentialExecutor(BaseExecutor): 

    """ 

    This executor will only run one task instance at a time, can be used 

    for debugging. It is also the only executor that can be used with sqlite 

    since sqlite doesn't support multiple connections. 

    Since we want airflow to work out of the box, it defaults to this 

    SequentialExecutor alongside sqlite as you first install it. 

    """ 

    def __init__(self): 

        super(SequentialExecutor, self).__init__() 

        self.commands_to_run = [] 

    def execute_async(self, key, command, queue=None): 

        self.commands_to_run.append((key, command,)) 

    def sync(self): 

        for key, command in self.commands_to_run: 

            logging.info("command" + str(command)) 

            try: 

                sp = subprocess.Popen(command, shell=True) 

                sp.wait() 

            except Exception as e: 

                self.change_state(key, State.FAILED) 

                raise e 

            self.change_state(key, State.SUCCESS) 

        self.commands_to_run = [] 

    def end(self): 

        self.heartbeat()