Question

我广泛搜索了气流博客和文档，以调试遇到的问题。

我要解决的问题

检查ftp服务器上是否存在特定文件
如果存在，则将其上传到云
如果不存在，请向客户端发送一封电子邮件，报告找不到文件

我有什么

一个自定义运算符，它扩展了使用SSH Hook并推送值（真或假）的BaseOperator。
使用BranchPythonOperator从xcom中提取值的任务，并检查上一个任务返回的是true还是false，并做出有关下一个任务的决定。

请查看下面的代码。这段代码是我正在尝试做的简化版本。

如果有人对我的原始代码感兴趣，请向下滚动到问题的末尾。

在此，自定义运算符仅根据分钟是偶数还是奇数来返回String偶数或奇数。

import logging

from airflow.models import BaseOperator
from airflow.plugins_manager import AirflowPlugin
from airflow.utils.decorators import apply_defaults
from datetime import datetime

log = logging.getLogger(__name__)

class MediumTestOperator(BaseOperator):

    @apply_defaults
    def __init__(self,
                 do_xcom_push=True,
                 *args,
                 **kwargs):
        super(MediumTestOperator, self).__init__(*args, **kwargs)
        self.do_xcom_push = do_xcom_push
        self.args = args
        self.kwargs = kwargs

    def execute(self, context):
        # from IPython import embed; embed()
        current_minute = datetime.now().minute

        context['ti'].xcom_push(key="Airflow", value="Apache Incubating")

        if current_minute %2 == 0:
            context['ti'].xcom_push(key="minute", value="Even")
        else:
            context['ti'].xcom_push(key="minute", value="Odd")
        # from IPython import embed; embed()


class MediumTestOperatorPlugin(AirflowPlugin):
    name = "medium_test"
    operators = [MediumTestOperator]

文件：caller.py

from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from airflow.operators.python_operator import BranchPythonOperator
from airflow.operators.dummy_operator import DummyOperator
from medium_payen_op import MediumTestOperator
from datetime import datetime, timedelta

default_args = {
    'owner': 'guillaume',
    'depends_on_past': False,
    'start_date': datetime(2018, 6, 18),
    'email': ['hello@moonshots.ai'],
    'email_on_failure': False,
    'email_on_retry': False,
    'retries': 1,
    'retry_delay': timedelta(minutes=1)
}
dag = DAG(
    'Weekday',
    default_args=default_args,
    schedule_interval="@once")


sample_task = MediumTestOperator(
    task_id='task_1',
    provide_context=True,
    dag=dag
)


def get_branch_follow(**kwargs):
    x = kwargs['ti'].xcom_pull(task_ids='task_1', key="minute")
    print("From Kwargs: ", x)
    if x == 'Even':
        return 'task_3'
    else:
        return 'task_4'


task_2 = BranchPythonOperator(
    task_id='task_2_branch',
    python_callable=get_branch_follow,
    provide_context=True,
    dag=dag
)


def get_dample(**kwargs):
    x = kwargs['ti'].xcom_pull(task_ids='task_1', key="minute")
    y = kwargs['ti'].xcom_pull(task_ids='task_1', key="Airflow")
    print("Minute is:", x, " Airflow is from: ", y)
    print("Task 3 Running")


task_3 = PythonOperator(
    python_callable=get_dample,
    provide_context=True,
    dag=dag,
    task_id='task_3'
)


def get_dample(**kwargs):
    x = kwargs['ti'].xcom_pull(task_ids='task_1', key="minute")
    y = kwargs['ti'].xcom_pull(task_ids='task_1', key="Airflow")
    print("Minute is:", x, " Airflow is from: ", y)
    print("Task 4 Running")


task_4 = PythonOperator(
    python_callable=get_dample,
    provide_context=True,
    dag=dag,
    task_id='task_4'
)

sample_task >> task_3

task_2 >> task_3
task_2 >> task_4

从所附图像中可以看到，Xcom推送确实起作用了，我可以从PythonOperator提取值，而不能从BranchPythonOperator提取值。

感谢您的帮助。

BranchPythonOperator的Python可调用对象内部的Xcom Pull始终返回“无”，从而导致Else块始终运行。

DAG的树状视图

管理员屏幕上的

XCom值

来自PythonOperator的Xcom Pull返回正确的值。

这是我正在使用的原始代码

自定义运算符将字符串True或False推送为Xcom值，然后由BranchPythonOperator读取。

我想读取在BranchPythonOperator任务内部使用上述自定义运算符创建的任务所推入的值，并根据返回的值选择其他路径。

文件：check_file_exists_operator.py

import logging
from tempfile import NamedTemporaryFile

from airflow.contrib.hooks.ssh_hook import SSHHook
from airflow.models import BaseOperator
from airflow.plugins_manager import AirflowPlugin
from airflow.utils.decorators import apply_defaults

log = logging.getLogger(__name__)


class CheckFileExistsOperator(BaseOperator):
    """
    This operator checks if a given file name exists on the
    the sftp server.

    Returns true if it exists, false otherwise.

    :param sftp_path_prefix: The sftp remote path. This is the specified file path
        for downloading the file from the SFTP server.
    :type sftp_path_prefix: string
    :param file_to_be_processed: File that is to be Searched 
    :type file_to_be_processed: str
    :param sftp_conn_id: The sftp connection id. The name or identifier for
        establishing a connection to the SFTP server.
    :type sftp_conn_id: string
    :param timeout: timeout (in seconds) for executing the command.
    :type timeout: int
    :param do_xcom_push: return the stdout which also get set in xcom by
           airflow platform
    :type do_xcom_push: bool

    """

    FORWARD_SLASH_LITERAL = '/'

    template_fields = ('file_to_be_processed',)

    @apply_defaults
    def __init__(self,
                 sftp_path_prefix,
                 file_to_be_processed,
                 sftp_conn_id='ssh_default',
                 timeout=10,
                 do_xcom_push=True,
                 *args,
                 **kwargs):
        super(CheckFileExistsOperator, self).__init__(*args, **kwargs)
        self.sftp_path_prefix = sftp_path_prefix
        self.file_to_be_processed = file_to_be_processed
        self.sftp_conn_id = sftp_conn_id
        self.timeout = timeout
        self.do_xcom_push = do_xcom_push
        self.args = args
        self.kwargs = kwargs

    def execute(self, context):

        # Refer to https://docs.paramiko.org/en/2.4/api/sftp.html
        ssh_hook = SSHHook(ssh_conn_id=self.sftp_conn_id)
        sftp_client = ssh_hook.get_conn().open_sftp()

        sftp_file_absolute_path = self.sftp_path_prefix.strip() + \
                                  self.FORWARD_SLASH_LITERAL + \
                                  self.file_to_be_processed.strip()

        task_instance = context['task_instance']

        log.debug('Checking if the follwoing file exists: %s', sftp_file_absolute_path)

        try:
            with NamedTemporaryFile("w") as temp_file:
                sftp_client.get(sftp_file_absolute_path, temp_file.name)

                # Return a string equivalent of the boolean.
                # Returning a boolean will make the key unreadable
                params = {'file_exists' : True}
                self.kwargs['params'] = params
                task_instance.xcom_push(key="file_exists", value='True')

                log.info('File Exists, returning True')

                return 'True'

        except FileNotFoundError:
            params = {'file_exists' : False}
            self.kwargs['params'] = params
            task_instance.xcom_push(key="file_exists", value='False')

            log.info('File Does not Exist, returning False')

            return 'False'


class CheckFilePlugin(AirflowPlugin):
    name = "check_file_exists"
    operators = [CheckFileExistsOperator]

文件：airflow_dag_sample.py

import logging

from airflow import DAG
from check_file_exists_operator import CheckFileExistsOperator
from airflow.contrib.operators.sftp_to_s3_operator import SFTPToS3Operator
from airflow.operators.python_operator import BranchPythonOperator
from datetime import timedelta, datetime
from dateutil.relativedelta import relativedelta
from airflow.operators.email_operator import EmailOperator

log = logging.getLogger(__name__)
FORWARD_SLASH_LITERAL = '/'

default_args = {
    'owner': 'gvatreya',
    'depends_on_past': False,
    'start_date': datetime(2019, 1, 1),
    'email': ['***@***.com'],
    'email_on_failure': False,
    'email_on_retry': False,
    'retries': 5,
    'retry_delay': timedelta(minutes=2),
    'timeout': 10,
    'sftp_conn_id': 'sftp_local_cluster',
    'provide_context': True
}

dag = DAG('my_test_dag',
          description='Another tutorial DAG',
          schedule_interval='0 12 * * *',
          start_date=datetime(2017, 3, 20),
          default_args=default_args,
          template_searchpath='/Users/your_name/some_path/airflow_home/sql',
          catchup=False)

template_filename_from_xcom = """
    {{ task_instance.xcom_pull(task_ids='get_fname_ships', key='file_to_be_processed', dag_id='my_test_dag') }}
"""

template_file_prefix_from_xcom = """
    {{ task_instance.xcom_pull(task_ids='get_fname_ships', key="month_prefix_for_file", dag_id='my_test_dag') }}
"""

t_check_file_exists = CheckFileExistsOperator(
    sftp_path_prefix='/toDjembe',
    file_to_be_processed=template_filename_from_xcom.strip(),
    sftp_conn_id='sftp_local_cluster',
    task_id='check_file_exists',
    dag=dag
)


def branch(**kwargs):
    file_exist = kwargs['task_instance'].xcom_pull(task_ids='get_fname_ships', key="file_exists",
                                                   dag_id='my_test_dag')
    print(template_filename_from_xcom)
    from IPython import embed; embed()
    log.debug("FILE_EXIST(from branch): %s", file_exist)
    if file_exist:
        return 's3_upload'
    else:
        return 'send_file_not_found_email'


t_branch_on_file_existence = BranchPythonOperator(
    task_id='branch_on_file_existence',
    python_callable=branch,
    dag=dag
)

t_send_file_not_found_email = EmailOperator(
    task_id='send_file_not_found_email',
    to='***@***.com',
    subject=template_email_subject.format(state='FAILURE',filename=template_filename_from_xcom.strip(),content='Not found on SFTP Server'),
    html_content='File Not Found in SFTP',
    mime_charset='utf-8',
    dag=dag
)

t_upload_to_s3 = SFTPToS3Operator(
    task_id='s3_upload',
    sftp_conn_id='sftp_local_cluster',
    sftp_path='/djembe/' + template_filename_from_xcom.strip(),
    s3_conn_id='s3_conn',
    s3_bucket='djembe-users',
    s3_key='gvatreya/experiment/' + template_file_prefix_from_xcom.strip() + FORWARD_SLASH_LITERAL + template_filename_from_xcom.strip(),
    dag=dag
)

t_check_file_exists >> t_branch_on_file_existence

t_branch_on_file_existence >> t_upload_to_s3
t_branch_on_file_existence >> t_send_file_not_found_email

但是，当我运行代码时，分支运算符始终会看到字符串“ None”。

但是，Xcom的值为true。

我尝试使用IPython embed()进行调试，发现taskinstance不包含xcom的值。我尝试使用参数和其他我能想到的东西，但无济于事。

花了几天时间之后，我现在开始认为我错过了有关Airflow中XCom的重要信息。

希望任何人都能提供帮助。

谢谢。

Answer 1

我认为，问题在于依赖性。

您当前具有以下条件：

sample_task >> task_3

task_2 >> task_3
task_2 >> task_4

将其更改为以下内容，即添加sample_task >> tasK_2行。

sample_task >> task_3
sample_task >> tasK_2

task_2 >> task_3
task_2 >> task_4

在使用BranchPythonOperator的任务之前，应先运行推送到xcom的任务

在您的第二个示例中，branch函数使用xcom_pull(task_ids='get_fname_ships'，但是我找不到带有get_fname_ships task_id的任何任务。

气流-在BranchPythonOperator中访问Xcom

1 个答案: