Airflow check operator. execute(), it … airflow.

Airflow check operator 10 to 2; Tutorial; Tutorial on the TaskFlow API; How-to Guides; UI / Screenshots; Concepts Bash Operator Example. Acceptable values: Any top level attribute returned by s3. @taky2 sent me on the right path. This module is deprecated. A list of core operators is available in the documentation for apache-airflow: Core Operators and Hooks Reference. Inside Airflow’s code, we often mix the concepts of Tasks and Operators, and they are mostly interchangeable. models import TaskInstance ti = TaskInstance(*your_task*, execution_date) state = ti. I am using TriggerDagRunOperator for the same. Using one of the open source Beam SDKs, you build a program that defines the pipeline. check_operator # # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. execute(), it airflow. 0+ Upgrade Check Script; Tutorial; Tutorial on the Taskflow API; How-to Guides @mad_ thanks a lot for explaining the part "you are creating a task with the same name and attaching to the same dag which Airflow considers that it has already processed. sensors import HttpSensor from datetime import datetime, timedelta import json default_args but I cannot figure it out. 0+ Upgrade Check Script; Tutorial; Tutorial on the Taskflow API Content. I'm struggling to understand how BranchPythonOperator in Airflow works. This also means that the necessary system dependencies must be installed on the worker. 0+ Upgrade Check Script; Tutorial; Tutorial on the Taskflow API; How-to Guides Content. TimeSensor goes into a reschedule loop because target_time is recomputed during each check of the constraint to a different value. Or, it might be unimportant information, like a import airflow from airflow import DAG from airflow. object – The name of the object to check in the Google cloud storage bucket. Check the UI Admin/Connections and you will find it. PrestoCheckOperator (sql, presto_conn_id='presto_default', *args, **kwargs) [source] ¶. This operator returns a python list with the name of objects which can be used by XCom in the downstream task. decorators import apply_defaults deferrable – Run operator in the deferrable mode. template_fields: collections. You need to have created your ECS Cluster, and have created a Task Definition before you can use this Operator. bigquery_operator import BigQueryOperator from datetime import date, datetime, timedelta import , python_callable=trigger_check, more arguments ) op1 >> op2 >> >> trigger Once you trigger it a first time, it will loop through class airflow. If you look at the doc string for the operator in the source you linked, it says "If BaseOperator. template_fields:Iterable[str] = []¶ template_ext:Iterable[str] = []¶ ui_color = #fff Apache Beam Operators¶. Refer to get_template_context for more context. I'm trying to use SimpleHttpOperator for consuming a RESTful API. This operator can be used as a data quality check in your pipeline, and depending on where you put it in your DAG, you have the choice to stop the critical path, preventing from publishing Module Contents¶ class airflow. Configuring the Connection¶ Host (required) The host to connect to. For more information on how to use this operator, take a look at the guide: Delete the tags of an Amazon S3 bucket. I found this asyncpg package that has a copy function which runs much faster than any other packages. check_operator import \ CheckOperator, ValueCheckOperator, IntervalCheckOperator from airflow. The default behavior will try to retrieve the DB hook based on connection type. SQLCheckOperator This class is deprecated The default value of fs_conn_id is "fs_default" (you can see it in the code of the FileSensor class operator). Was this entry helpful? How-to Guide for Mysql using SQLExecuteQueryOperator. Viewed 10k times 4 . This operator deletes tagging from an S3 bucket. BaseSensorOperator Checks for the existence of a class airflow. do_xcom_push – if True, an XCom is pushed containing the Operator’s result. AWS Glue provides all the capabilities needed for data integration so that you can start analyzing your data and putting it to use in minutes instead of months. However, it Skip to main content. AWS Glue¶. experimental. check_operator # -*- coding: utf-8 -*-# # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. Home; Project; License; Quick start; Installation; Upgrading to Airflow 2. time(), In using TimeSensor this way, you must set target_time to a time value that is the latest time that Warning. When your operator resumes, Airflow adds a context object and an event object to the kwargs passed to the method_name method. druid_check_operator ¶. base. This functionality is controlled by the wait_for_termination parameter. google. SQLCheckOperator This class is deprecated. tls_ssl_version – Version of SSL to use when communicating with docker daemon. SQLCheckOperator This class is deprecated Operators and Hooks Reference¶. airflow. druid_check. I have the following two dags. presto_hook import PrestoHook from airflow. use_glob ( bool ) – When set to True the object parameter is interpreted as glob google_cloud_conn_id ( str ) – The connection ID to use when connecting to Google Cloud Storage. dummy. Checking the xcom page, I'm not getting the expected result. 1X workers to be used in the run. SQLCheckOperator This class is deprecated You can check the official example here. gcp_conn_id ( str ) – (Optional) The connection ID used to connect to Google Cloud. python_operator import PythonOperator from time import sleep from datetime import datetime def my_func(*op_args): print(op_args) return op_args[0] with Module Contents¶ class airflow. The Task Definition contains details of the containerized application you want to run. SQLCheckOperator This class is deprecated airflow. PrestoCheckOperator (** kwargs) [source] ¶. current_state() return task_status dag_status = Bases: airflow. The CheckOperator expects a sql query that will return a single row. Fetching records from a table¶. Specify * to return all available attributes. The Operator defaults to http protocol and you can change the schema used by the operator via scheme connection attribute. The docs describe its use: The BranchPythonOperator is much like the PythonOperator except that it expects This operator can be used as a data quality check in your pipeline, and depending on where you put it in your DAG, you have the choice to stop the critical path, preventing from Airflow has a very extensive set of operators available, with some built-in to the core or pre-installed providers. Please use Parameters. leading to more efficient utilization of resources in your Airflow deployment. SQLCheckOperator This class is deprecated import json from datetime import timedelta from airflow import DAG from airflow. Hot Network Questions Should I review for the second time a paper that I already reviewed and recommended for acceptance in another journal? Is the number sum of 3 squares? Baseball Plate Appearances per Game Question on harvesting potential energy I am trying to trigger one dag from another. use_regex – whether to use regex to check bucket. and in your Operator set the parameter like: t1 = BashOperator( task_id='print_date', bash_command='date', on_failure_callback=my_fun, dag=dag, ) I have tested something similar and it works. Ask Question Asked 8 years, 6 months ago. The DruidCheckOperator expects a sql query that will return a single row. I have looked at the Airflow subDAG section and tried to find anything else online that would be helpful, however I have not found anything that explained in detail how to make a subDAG work. The BashOperator must first be imported from the airflow. Because they are primarily idle, Sensors have two different modes of running so you can be a The lines of code and values that fail the check are observable in the Airflow logs. Each value on that first from airflow import DAG from airflow. However, when we talk about a Task, we mean the generic “unit of execution” of a DAG; when we talk about an Operator, we mean a reusable, pre-made Task template whose logic is all done for you and that just needs some arguments. There are several ways to run a Dataflow pipeline depending on your environment, source files: Non-templated pipeline: Developer can run the pipeline as a local process on the Airflow worker if you have a *. This operator lets you check: A specific, single column value. contrib. - astronomer/airflow-data-quality-demo Bases: airflow. SQLCheckOperator This class is Content. The provided method is . dummy_operator import DummyOperator from airflow. Content. py file for Python. Each value on that first row is evaluated using python bool casting. Before executing the DAG, I want to check whether a particular connection id is present in the connection list or not. Here is a list of operators and hooks that are released independently of the Airflow core. Operator that does literally nothing. 0+ Upgrade Check Script; Tutorial; Tutorial on the Taskflow API; How-to Guides table_id – The name of the table to check the existence of. tolerance (Any) – (optional) the tolerance allowed to accept the query as class airflow. The Name. If a DAG does not have a next DAG instance scheduled, the time span end infinite, meaning the operator processes all files older than data_interval_start. class airflow. I would therefore only do this in an environment where you only want to run 'airflow test' commands Bases: airflow. from airflow import DAG from airflow. SQLValueCheckOperator. text objects (instead of a single response object). decorators import apply_defaults This operator can MySql Airflow Connection Metadata Parameters that can be passed onto the operator will be given priority over the parameters already given in the Airflow connection metadata (such as schema, login, password and so forth). operators import sftp_operator from airflow import DAG import datetime dag = DAG( 'test_dag', start_date = Module Contents¶ class airflow. As well as a connection ID and table, a checks dictionary describing the relationship between the table and The SQL check operators in the Common SQL provider provide a simple and effective way to implement data quality checks in your Airflow DAGs. SQLCheckOperator Performs checks against BigQuery. current_state() As I want to check that within the DAG, it is not neccessary to specify the dag. PythonOperator(task_id='Data_Extraction_Environment', provide_context=True, airflow. This event object contains the payload from the trigger event that resumed your operator. ssh_conn_id (str | None) – ssh connection id from airflow Connections. tmp_dir – Mount point inside the container to a temporary directory created on the host by the operator. get_db_hook(). For historical reasons, configuring HTTPS connectivity via HTTP operator is, well, difficult and counter-intuitive. email. @PhilippJohannis thanks for this, I changed xcom_push argument in my SSHOperator to do_xcom_push. You can skip to pass fs_conn_id and just pass the parameter filepath if you want to check if a file or a directory exists locally. Depending on the trigger, this can be useful to your operator, like it’s a status code or URL to fetch results. Apache Airflow, Apache, Airflow, the Airflow logo, and the Apache feather logo are either registered trademarks or trademarks of The Apache Software Foundation. jar file for Java or a *. 10 to 2; Tutorial; Tutorial on the TaskFlow API; How-to Guides; UI / Screenshots; Concepts class airflow. Previous Next. Ways to run a data pipeline¶. get_task_instance import get_task_instance def get_dag_state(execution_date, **kwargs): ti = get_task_instance('dag_id', 'task_id', execution_date) task_status = ti. Branching in Apache Airflow using TaskFlowAPI. BigQueryCheckOperator (sql, bigquery_conn_id='bigquery_default', use_legacy_sql=True, *args, **kwargs) [source] ¶. However this won't work when trying to print inside an operator. Using the Operator; Suggest a change on this page. cloud_base. check_operator. Home; Project; License; Quick Start; Installation; Upgrading from 1. getboolean('operators', 'default_deferrable', fallback=False), ** kwargs) [source] ¶. aws_sqs Apache Livy Operators¶. Modified 8 years, 6 months ago. BaseOperator. It enables easy submission of Spark jobs or snippets of Spark code, synchronous or asynchronous result retrieval, as well as Spark Context management, all via a simple REST interface or an RPC client library. Before running the DAG, ensure you have an active and reachable SQL database running, with a connection to This operator can be used as a data quality check in your pipeline, and depending on where you put it in your DAG, you have the choice to stop the critical path, preventing from publishing Airflow has a BranchPythonOperator that can be used to express the branching dependency more directly. Performs a simple check using sql code against a specified value, within a certain level of tolerance. If any of the values return False the check is failed and I have written a DAG with multiple PythonOperators task1 = af_op. Use the SQLTableCheckOperator to run data quality checks against a given table. float - Default: 20 tableau_conn_id : The credentials to authenticate to the Tableau Server. But, As the name suggests, it only supporting HTTP protocol where I need to consume a HTTPS URI. Ask Question Asked 5 years, 6 months ago. The Bases: airflow. Modified 3 years, 5 months ago. apache. Apache Livy is a service that enables easy interaction with a Spark cluster over a REST interface. It is possible to specify multiple hosts as a comma-separated list. providers. Please use Module Contents¶ class airflow. SlackAPIPostOperator Module Contents¶ class airflow. bigquery_hook import BigQueryHook from airflow. sql. See also. slack. A repository of sample code to show data quality checking best practices using Airflow. decorators import apply_defaults This operator can Source code for airflow. abc. PrestoCheckOperator (sql, presto_conn_id = 'presto_default', * args, ** kwargs) [source] ¶. SQLCheckOperator This class is By noticing that the SFTP operator uses ssh_hook to open an sftp transport channel, you should need to provide ssh_hook or ssh_conn_id for file transfer. 0+ Upgrade Check Script; Tutorial; Tutorial on the Taskflow API; How-to Guides Module Contents¶ class airflow. 0+ Upgrade Check Script; Tutorial; Tutorial on the Taskflow API; How-to Guides class airflow. Let’s see how to use the ShortCircuitOperator and what you should know about it. Invoked when the task succeeds. druid. datasource – The data source (Glue table) associated with this run. on_failure_callback. By default, the operator will periodically check on the status of the executed job to terminate with a successful status every check_interval seconds or until the job reaches a timeout length of execution time. CheckOperator Performs checks against BigQuery. common. adls_to_gcs; airflow. If this is Module Contents¶ class airflow. (templated) number_of_workers – The number of G. However the triggerer component needs to be enabled for this functionality to work. Here are some other ways of introducing delay. subdag_operator import SubDagOperator from linecount_subdag import sub_dag parent_dag_name = 'example_linecount_dag' Sensors¶. adls_list_operator; airflow. Airflow provides operators to run Task Definitions on an ECS cluster. GoogleCloudBaseOperator. I don't think airflow support this :\ I submitted a ticket Content. Home; Project; License; Quick Start; Installation; Upgrading to Airflow 2. The I am writing a airflow task to read a large csv and save it to postgresql database. First, let's see an example providing the parameter ssh_conn_id. The expected scenario is the following: Task 1 executes If Task 1 succeed, then execute Task 2a Else If Task 1 from airflow. ; pre_execute() / post_execute(): Module Contents¶ class airflow. Apache Beam is an open source, unified model for defining both batch and streaming data-parallel processing pipelines. api. You may then build a BashOperator instance within your DAG by Source code for airflow. It can be used to group tasks in a DAG. trigger_rule import TriggerRule from airflow. on_retry_callback Airflow Branch Operator and Task Group Invalid Task IDs. Module Contents¶ class airflow. In Airflow 2. SlackAPIOperator (*, slack_conn_id = SlackHook. The PrestoCheckOperator expects a sql query that will return a single row. Using Template : {{ dag_run. Dag 1: from datetime import datetime from airflow import DAG from airflow. python_operator import PythonOperator from Content. The pipeline is then executed by one of Beam’s supported distributed processing back-ends, which include Apache Flink, Apache Spark, and Module Contents¶ class airflow. List all objects from the bucket filtered by given string prefix and delimiter in name or match_glob. 0 (the # "License"); you may MySql Airflow Connection Metadata Parameters that can be passed onto the operator will be given priority over the parameters already given in the Airflow connection metadata (such as schema, login, password and so forth). (templated) role – IAM role supplied for job execution. sftp. (default: 5) timeout – The timeout for a run in minutes. dates import days_ago default_args = { 'owner': 'airflow', 'depends_on_past ': False there appears to be a way to have response_check point to a Module Contents¶ class airflow. X we can check the run type with below parameters. baseoperator. However, this field was originally added to connection for database type class airflow. aws_athena_operator; airflow. Bases: airflow. DummyOperator (** kwargs) [source] ¶. You are suggesting that I will wrap my operator with a function that will print and then will execute the operator. druid_check_operator. metadata_keys (list | None) – List of head_object attributes to gather and send to check_fn. My trouble is that when an operators runs and finishes the job, I'd like to receive the results back in some airflow get result after executing an operator. run_type }} For Example, run_type = '{{ "manual" if Fetching records from a table¶. Context is the same dictionary used as when rendering jinja templates. bigquery_check_operator. CheckOperator Performs checks against Druid. ssh_execute_operator import SSHExecuteOperator from airflow. aws_conn_id (str | None) – The Airflow connection used for AWS credentials. SQLCheckOperator This class I used below code to get the status of a task from another DAG: from airflow. soft_fail (bool) – Set to true to mark the task as SKIPPED on failure Module Contents¶ class airflow. CheckOperator (* args, ** kwargs) [source] ¶. python_operator import PythonOperator from Bash Operator Example. SQLCheckOperator This class is deprecated ml_a produces the first XCom with the key return_value and the value 6. SQLCheckOperator This class is deprecated Module Contents¶ class airflow. PrestoCheckOperator (** kwargs) [source] ¶. docker_operator. hooks. This operator uses sftp_hook to open sftp transport channel that serve as basis for file transfer. Invoked when the task fails. from airflow. This leads to the constraint never being fulfilled. BaseOperator Performs checks against a db. SFTPOperator for transferring files from remote host to local or vice a versa. pass_value (Any) – the value to check against. sla_miss_callback. # -*- coding: utf-8 -*-# # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. This is the maximum time that a run can consume resources before it is terminated and enters TIMEOUT Module Contents¶ class airflow. I'm expecting the file size under Value. http_operator import SimpleHttpOperator from airflow. do_xcom_push is True, the last line written to stdout will also be pushed to an XCom when the bash command completes". I know it's primarily used for branching, but am confused by the documentation as to what to pass into a task and what I need to pass/expect from the task upstream. If any of the values return False the check is failed and I would like to create a conditional task in Airflow as described in the schema below. sql – the sql to be executed. Same with the other injected functions (like response_check, response_filter, ) which will also receive a list of Response objects. Sequence [ str ] | None ) – Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last I have configured airflow and created some Dags and subDags that call several operators. Configuring https via HttpOperator is counter-intuitive. AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. BigQueryTableExistenceSensor (*, project_id, dataset_id, table_id, gcp_conn_id = 'google_cloud_default', impersonation_chain = None, deferrable = conf. Each value on that first Content. BaseSQLOperator (*, conn_id: Optional [] = None, database: Optional [] = None, ** kwargs) [source] ¶. If I need to check for one task if the previous 10 runs of another task were successful. The The time span is defined by the time span’s start and end timestamps. If you are new to Airflow, check my courses here; you will get a special discount. cloud. Source code for airflow. DockerOperator (image, api_version=None, – Hostname to match against the docker server certificate or False to disable the check. base_hook import BaseHook conn = BaseHook. " as i am looking for exactly to achieve this kind of result, I worry my operator (which is acting like a fan out operator), inside a loop, and it should be executed only Airflow Branch Operator and Task Group Invalid Task IDs. Parameters. SQLCheckOperator This class Source code for airflow. ui_color = '#e8f7e4' [source] ¶ inherits_from_empty_operator = True [source] ¶ execute (context) [source] ¶ Derive when creating an operator. utils. UPDATE: do NOT use this as pointed out by @Vit. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. DruidCheckOperator (sql, druid_broker_conn_id='druid_broker_default', *args, **kwargs) [source] ¶. SQLCheckOperator This class is deprecated In airflow it's possible to write to the log with a simple print() or with logger as suggested here. SQLCheckOperator This class is deprecated do_xcom_push – if True, an XCom is pushed containing the Operator’s result. Dataproc is a managed Apache Spark and Apache Hadoop service that lets you take advantage of open source data tools for batch processing, querying, streaming and machine learning. template_fields:Iterable[str] = []¶ template_ext:Iterable[str] = []¶ ui_color = #fff Bases: airflow. In addition, if you dig further into the code and look at the SubprocessHook that is called as part of BashOperator. The I created a custom BashOperator like this from airflow. timedelta from airflow. Original point: on_success_callback / on_failure_callback: Depending of whether Task 2 is supposed to run upon success or failure of Task 1, you can pass lambda: time. BaseOperator This is a base class for generic SQL Operator to get a DB Hook. bucket – The Google Cloud Storage bucket to find the objects. BaseOperator Operator that does literally nothing. Please use Trigger a dbt Cloud Job¶. SQLCheckOperator This class See the License for the # specific language governing permissions and limitations # under the License. Please use airflow. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. Interestingly, the BranchPythonOperator creates not one but two XComs! One with the key skipmixin_key so the Airflow Scheduler knows what tasks to airflow. 10 to 2; Tutorial; Tutorial on the TaskFlow API; How-to Guides; UI / Screenshots; Concepts Content. EmailOperator (*, to, subject, html_content, files = None, cc = None, bcc = None, mime_subtype = 'mixed', mime_charset = 'utf-8', conn See the License for the # specific language governing permissions and limitations # under the License. target_time=(timezone. This Operator support running your containers in ECS Clusters that are either Serverless (FARGATE), via EC2, or This operator can be used as a data quality check in your pipeline, and depending on where you put it in your DAG, you have the choice to stop the critical path, preventing from publishing dubious data, or on the side and receive email alerts without stopping the progress of the DAG. bucket_name – This is the name of the bucket to delete tags from. get_connection(connection) Module Contents¶ class airflow. 0+ Upgrade Check Script; Tutorial; Tutorial on the Taskflow API; How-to Guides Also you can use deferrable mode in this operator if you would like to free up the worker slots while the sensor is running. bigquery. The task is evaluated by the scheduler but never processed by the executor. The ASF licenses this file # to you under the Apache License, Version 2. Sequence [str] = ('name', 'image', 'command', 'environment_variables', 'volumes') [source] ¶ template_fields_renderers [source airflow. bash_operator module before it can be used. python_operator import PythonOperator from datetime import datetime, The ShortCircuitOperator in Airflow is simple but yet powerful to choose between tasks or run sanity checks. Invoked when a task misses its defined SLA. It is actually fairly easy: from airflow. Using this set of operators, you can "A sample Airflow DAG to perform data quality checks using SQL Operators. This is not true at all. The ASF licenses this file # to you under the Apache License, Version . It can be time-based, or waiting for a file, or an external event, but all they do is wait until something happens, and then succeed so their downstream tasks can run. on_success_callback. ai. check_operator import CheckOperator, \ ValueCheckOperator, IntervalCheckOperator from airflow. 0 (the # "License"); you may # See the License for the specific language governing permissions and # limitations under the License. Ready? Let’s goooooo! there is one ShortCircuitOperator task per day. sensors. bash_operator import BashOperator from airflow. bash_operator import BashOperator class CustomOperator(BashOperator): """ Custom bash operator that just write whatever UPDATE-1. default_conn_name, method, Derive when creating an operator. sleep(300) in either of these params of Task 1. Use the GCSUploadSessionCompleteSensor to check In airflow it's possible to write to the log with a simple print() or with logger as suggested here However this won't work when trying to print inside an operator. Creating a new table, "more_fruit" from the "fruit" table. Each value on that first This is how you can pass arguments for a Python operator in Airflow. Use the DbtCloudRunJobOperator to trigger a run of a dbt Cloud job. decorators import apply_defaults airflow. Home; Project; License; Quick Start; Basic Airflow architecture; Installation; Upgrading to Airflow 2. CheckOperator (sql, conn_id=None, *args, **kwargs) [source] ¶. head_object. 4. Stack Overflow from airflow import DAG from airflow. operators. . so, now, I have to use either "requests" object from Python or handle the invocation from within the application code. The following SQL check operators are recommended for implementing data quality checks: SQLColumnCheckOperator: Runs one or more predefined data quality checks on one or more columns within the same task. presto_check_operator. Keep in mind this sensor extends from BaseSensorOperator so you can define params such as poke_interval , timeout and mode to suit your needs. CheckOperator Performs checks against Presto. CheckOperator (** kwargs) [source] ¶. Some popular operators from core include: Use the @task decorator to Airflow connection list check through python operator. SQLCheckOperator This class is deprecated Google Cloud Dataproc Operators¶. I have the following code: Module Contents¶ class airflow. The result of the Operator will become by default a list of Response. http_sensor import HttpSensor from airflow. SQLCheckOperator This class is deprecated Content. models. This operator can be used as a data quality check in your pipeline, and depending on where you put it in your DAG, you have the choice to stop the critical path, preventing from publishing dubious data, or on the side and receive email alerts without stopping the progress of the DAG. utcnow()+timedelta(minutes=SLEEP_MINUTES_1ST)). BigQueryCheckOperator (sql, bigquery_conn_id = 'bigquery_default', use_legacy_sql = True, * args, ** kwargs) [source] ¶. In the SimpleHtttpOperator I see a param for response_check, but nothing to simply print, or store, or When provided, the Operator will call the API repeatedly until this callable returns None. I've since found that whilst setting 'console' as a handler for the airflow. Schema (required) check_interval: time in seconds that the job should wait in between each instance state checks until operation is completed. CheckOperator (** kwargs) [source] ¶. running tasks. Sensors are a special type of Operator that are designed to do exactly one thing - wait for something to occur. impersonation_chain ( str | collections. task logger allows you to see the output of 'airflow test' commands, it also seems to cause 'airflow run' commands to enter an infinite loop and run out of memory. Description. 10 to 2; Tutorial; Tutorial on the Taskflow API; How-to Guides; UI / Screenshots; Concepts Content. check_operator import CheckOperator, ValueCheckOperator, IntervalCheckOperator from airflow. What I'm getting is key: return_value ; Value:ODAwMAo=. hugokk ddlfdjgr seccfx lnqjg pdp cly didd ockgtum vkmc daafcmgpp