How to get a job status running in an Airbyte instance which is OSS deployed with a public IP using Airflow?

To get a job status running in an Airbyte instance which is OSS deployed with a public IP using Airflow, you can follow these steps: 1. Create an Airbyte connection in Apache Airflow: Once Airflow starts, navigate to Airflow's

Connections

page. Airflow will use the Airbyte API to execute our actions. The Airbyte API uses HTTP, so you'll need to create a HTTP Connection. Airbyte is typically hosted at

localhost:8001

. Configure Airflow's HTTP connection accordingly. Don't forget to click save! [source](https://docs.airbyte.com/operator-guides/using-the-airflow-airbyte-operator) 2. Retrieve the Airbyte Connection ID: This ID can be seen in the URL on the connection page in the Airbyte UI. The Airbyte UI can be accessed at

localhost:8000

. [source](https://docs.airbyte.com/operator-guides/using-the-airflow-airbyte-operator) 3. Create a DAG in Apache Airflow to trigger your Airbyte job: You can create a simple Airflow DAG to run an Airbyte Sync Job. Here is an example of how to do it:

python from airflow import DAG   from airflow.utils.dates import days_ago   from airflow.providers.airbyte.operators.airbyte import AirbyteTriggerSyncOperator      with DAG(dag_id='trigger_airbyte_job_example',    default_args={'owner': 'airflow'},    schedule_interval='@daily',    start_date=days_ago(1)    ) as dag:       money_to_json = AirbyteTriggerSyncOperator(    task_id='airbyte_money_json_example',    airbyte_conn_id='airbyte_conn_example',    connection_id='1e3b5a72-7bfd-4808-a13c-204505490110',    asynchronous=False,    timeout=3600,    wait_seconds=3    )

[source](https://docs.airbyte.com/operator-guides/using-the-airflow-airbyte-operator) 4. Monitor the Job Status: You can monitor the job status by checking the Airbyte UI's Sync History tab to see if the job started syncing! [source](https://docs.airbyte.com/operator-guides/using-the-airflow-airbyte-operator) Please note that the Airbyte operator is designed to work with the internal Config API rather than the newer Airbyte API and is therefore not intended or designed for orchestrating Airbyte Cloud. [source](https://docs.airbyte.com/operator-guides/using-the-airflow-airbyte-operator)

@kapa.ai Please guide me to use HttpSensor instead

I'm sorry, but the information extracts provided do not contain any details or instructions on how to use HttpSensor. As an AI developed for Airbyte, I can only provide information based on the extracts given. I recommend checking the official documentation or tutorials of the tool or library that provides HttpSensor for more detailed guidance.