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To run synchronization of a connection in Airbyte using Python in an Airflow task, you can use the

AirbyteTriggerSyncOperator

and

AirbyteJobSensor

in your Airflow DAG. Here's a simplified example:

python
from airflow import DAG
from airflow.providers.airbyte.operators.airbyte import AirbyteTriggerSyncOperator
from airflow.providers.airbyte.sensors.airbyte import AirbyteJobSensor
from airflow.sensors.filesystem import FileSensor
from airflow.operators.bash import BashOperator
import pendulum

AIRBYTE_CONNECTION_ID = '[REPLACE THIS WITH YOUR CONNECTION ID]'
RAW_PRODUCTS_FILE = '/tmp/airbyte_local/json_from_faker/_airbyte_raw_products.jsonl'
COPY_OF_RAW_PRODUCTS = '/tmp/airbyte_local/json_from_faker/moved_raw_products.jsonl'

# Define your DAG here
with DAG(dag_id='trigger_airbyte_job_example',  
         default_args={'owner': 'airflow'},  
         schedule_interval='@daily',  
         start_date=days_ago(1)) as dag:  

    # Use AirbyteTriggerSyncOperator to trigger Airbyte to perform a synchronization
    trigger_airbyte = AirbyteTriggerSyncOperator(
        task_id='airbyte_money_json_example',  
        airbyte_conn_id='airbyte_conn_example',  
        connection_id=AIRBYTE_CONNECTION_ID,  
        asynchronous=False,  
        timeout=3600,  
        wait_seconds=3  
    )  

    # Use AirbyteJobSensor to wait for Airbyte to complete the synchronization
    wait_for_sync_completion = AirbyteJobSensor(
        task_id='wait_for_airbyte_job',
        airbyte_conn_id='airbyte_conn_example',
        job_id="{{ task_instance.xcom_pull('trigger_airbyte_job_example')['job']['id'] }}",
        poke_interval=5,
        timeout=3600
    )

    # Use FileSensor to confirm that the file created by Airbyte exists
    raw_products_file_sensor = FileSensor(
        task_id='wait_for_raw_products_file',
        fs_conn_id='fs_default',
        filepath=RAW_PRODUCTS_FILE,
        poke_interval=5,
        timeout=3600
    )

    # Use BashOperator to rename the raw products file
    mv_raw_products_file = BashOperator(
        task_id='mv_raw_products_file',
        bash_command=f'mv {RAW_PRODUCTS_FILE} {COPY_OF_RAW_PRODUCTS}'
    )

    # Define the order of tasks
    trigger_airbyte >> wait_for_sync_completion >> raw_products_file_sensor >> mv_raw_products_file

In this example,

AirbyteTriggerSyncOperator

is used to trigger Airbyte to perform a synchronization.

AirbyteJobSensor

is used to wait for Airbyte to complete the synchronization.

FileSensor

is used to confirm that the file created by Airbyte exists.

BashOperator

is used to rename the raw products file. Please replace

AIRBYTE_CONNECTION_ID

,

RAW_PRODUCTS_FILE

, and

COPY_OF_RAW_PRODUCTS

with your actual values.

To run synchronization of a connection in Airbyte using Python in an Airflow task, you can use the

AirbyteTriggerSyncOperator

and

AirbyteJobSensor

in your Airflow DAG. Here's a simplified example:

python from airflow import DAG from airflow.providers.airbyte.operators.airbyte import AirbyteTriggerSyncOperator from airflow.providers.airbyte.sensors.airbyte import AirbyteJobSensor from airflow.sensors.filesystem import FileSensor from airflow.operators.bash import BashOperator import pendulum  AIRBYTE_CONNECTION_ID = '[REPLACE THIS WITH YOUR CONNECTION ID]' RAW_PRODUCTS_FILE = '/tmp/airbyte_local/json_from_faker/_airbyte_raw_products.jsonl' COPY_OF_RAW_PRODUCTS = '/tmp/airbyte_local/json_from_faker/moved_raw_products.jsonl'  # Define your DAG here with DAG(dag_id='trigger_airbyte_job_example',            default_args={'owner': 'airflow'},            schedule_interval='@daily',            start_date=days_ago(1)) as dag:        # Use AirbyteTriggerSyncOperator to trigger Airbyte to perform a synchronization     trigger_airbyte = AirbyteTriggerSyncOperator(         task_id='airbyte_money_json_example',           airbyte_conn_id='airbyte_conn_example',           connection_id=AIRBYTE_CONNECTION_ID,           asynchronous=False,           timeout=3600,           wait_seconds=3       )        # Use AirbyteJobSensor to wait for Airbyte to complete the synchronization     wait_for_sync_completion = AirbyteJobSensor(         task_id='wait_for_airbyte_job',         airbyte_conn_id='airbyte_conn_example',         job_id="{{ task_instance.xcom_pull('trigger_airbyte_job_example')['job']['id'] }}",         poke_interval=5,         timeout=3600     )      # Use FileSensor to confirm that the file created by Airbyte exists     raw_products_file_sensor = FileSensor(         task_id='wait_for_raw_products_file',         fs_conn_id='fs_default',         filepath=RAW_PRODUCTS_FILE,         poke_interval=5,         timeout=3600     )      # Use BashOperator to rename the raw products file     mv_raw_products_file = BashOperator(         task_id='mv_raw_products_file',         bash_command=f'mv {RAW_PRODUCTS_FILE} {COPY_OF_RAW_PRODUCTS}'     )      # Define the order of tasks     trigger_airbyte >> wait_for_sync_completion >> raw_products_file_sensor >> mv_raw_products_file

In this example,

AirbyteTriggerSyncOperator

is used to trigger Airbyte to perform a synchronization.

AirbyteJobSensor

is used to wait for Airbyte to complete the synchronization.

FileSensor

is used to confirm that the file created by Airbyte exists.

BashOperator

is used to rename the raw products file. Please replace

AIRBYTE_CONNECTION_ID

,

RAW_PRODUCTS_FILE

, and

COPY_OF_RAW_PRODUCTS

with your actual values. For more details, you can refer to the [Airbyte tutorial on using Airflow and Airbyte together](https://airbyte.com/tutorials/how-to-use-airflow-and-airbyte-together) and [Airbyte's documentation on creating a simple Airflow DAG to run an Airbyte Sync Job](https://docs.airbyte.com/operator-guides/using-the-airflow-airbyte-operator#creating-a-simple-airflow-dag-to-run-an-airbyte-sync-job).