气流远程文件传感器

时间:2019-01-07 14:47:44

标签: airflow airflow-scheduler apache-airflow-xcom

我正在尝试查找远程服务器中是否有任何文件与提供的模式匹配。类似于以下解决方案 Airflow File Sensor for sensing files on my local drive

我将SSHOperator与bash命令一起使用,如下所示

SSH_Bash = """
    echo 'poking for files...'
    ls /home/files/test.txt
    if [ $? -eq "0" ]; then    
    echo 'Found file'
    else
    echo 'failed to find'
    fi
    """

t1 = SSHOperator(
    ssh_conn_id='ssh_default',
    task_id='test_ssh_operator',
    command=SSH_Bash,
    dag=dag)

它可以工作,但看起来不是最佳解决方案。有人可以帮我得到比Bash脚本更好的解决方案,以感测远程服务器中的文件。

我尝试了下面的sftp传感器,

import os
import re

import logging
from paramiko import SFTP_NO_SUCH_FILE
from airflow.contrib.hooks.sftp_hook import SFTPHook
from airflow.operators.sensors import BaseSensorOperator
from airflow.plugins_manager import AirflowPlugin
from airflow.utils.decorators import apply_defaults


class SFTPSensor(BaseSensorOperator):
    @apply_defaults
    def __init__(self, filepath,filepattern, sftp_conn_id='sftp_default', *args, **kwargs):
        super(SFTPSensor, self).__init__(*args, **kwargs)
        self.filepath = filepath
        self.filepattern = filepattern
        self.hook = SFTPHook(sftp_conn_id)

    def poke(self, context):
        full_path = self.filepath
        file_pattern = re.compile(self.filepattern)

        try:
            directory = os.listdir(self.hook.full_path)
            for files in directory:
                if not re.match(file_pattern, files):
                    self.log.info(files)
                    self.log.info(file_pattern)
                else:
                    context["task_instance"].xcom_push("file_name", files)
                    return True
            return False
        except IOError as e:
            if e.errno != SFTP_NO_SUCH_FILE:
                raise e
            return False

class SFTPSensorPlugin(AirflowPlugin):
    name = "sftp_sensor"
    sensors = [SFTPSensor]

但这总是戳入本地计算机而不是远程计算机。有人可以帮我弄错我的地方。

1 个答案:

答案 0 :(得分:0)

我替换了

中的行
directory = self.hook.list_directory(full_path)

x = Book.objects.all().values('author','category').annotate(pages = Sum('pages')).order_by('pages')