Merge sync and async operator

README.md

@@ -1,8 +1,8 @@
 # Fivetran Async Provider for Apache Airflow
 
 This package provides an async operator, sensor and hook that integrates [Fivetran](https://fivetran.com) into Apache Airflow.
-`FivetranSensorAsync` allows you to monitor a Fivetran sync job for completion before running downstream processes.
-`FivetranOperatorAsync` submits a Fivetran sync job and polls for its status on the triggerer.
+`FivetranSensor` allows you to monitor a Fivetran sync job for completion before running downstream processes.
+`FivetranOperator` submits a Fivetran sync job and polls for its status on the triggerer.
 Since an async sensor or operator frees up worker slot while polling is happening on the triggerer,
 they consume less resources when compared to traditional "sync" sensors and operators.
 
@@ -33,30 +33,30 @@ The sensor assumes the `Conn Id` is set to `fivetran`, however if you are managi
 
 ### [Fivetran Operator Async](https://github.com/astronomer/airflow-provider-fivetran-async/tree/main/fivetran_provider_async/operators.py)
 
-`FivetranOperatorAsync` submits a Fivetran sync job and monitors it on trigger for completion.
+`FivetranOperator` submits a Fivetran sync job and monitors it on trigger for completion.
 It requires that you specify the `connector_id` of the sync job to start. You can find `connector_id` in the Settings page of the connector you configured in the [Fivetran dashboard](https://fivetran.com/dashboard/connectors).
 
 Import into your DAG via:
 ```python
-from fivetran_provider_async.operators import FivetranOperatorAsync
+from fivetran_provider_async.operators import FivetranOperator
 ```
 
 ### [Fivetran Sensor Async](https://github.com/astronomer/airflow-provider-fivetran-async/tree/main/fivetran_provider_async/sensors.py)
 
-`FivetranSensorAsync` monitors a Fivetran sync job for completion.
-Monitoring with `FivetranSensorAsync` allows you to trigger downstream processes only when the Fivetran sync jobs have completed, ensuring data consistency.
+`FivetranSensor` monitors a Fivetran sync job for completion.
+Monitoring with `FivetranSensor` allows you to trigger downstream processes only when the Fivetran sync jobs have completed, ensuring data consistency.
 
 
 
-You can use multiple instances of `FivetranSensorAsync` to monitor multiple Fivetran connectors.
+You can use multiple instances of `FivetranSensor` to monitor multiple Fivetran connectors.
 
 If used in this way,
 
-`FivetranSensorAsync` requires that you specify the `connector_id` of the sync job to start. You can find `connector_id` in the Settings page of the connector you configured in the [Fivetran dashboard](https://fivetran.com/dashboard/connectors).
+`FivetranSensor` requires that you specify the `connector_id` of the sync job to start. You can find `connector_id` in the Settings page of the connector you configured in the [Fivetran dashboard](https://fivetran.com/dashboard/connectors).
 
 Import into your DAG via:
 ```python
-from fivetran_provider_async.sensors import FivetranSensorAsync
+from fivetran_provider_async.sensors import FivetranSensor
 ```
 
 ## Examples

fivetran_provider_async/example_dags/example_fivetran.py

@@ -22,13 +22,15 @@
         task_id="fivetran-task",
         fivetran_conn_id="fivetran_default",
         connector_id="{{ var.value.connector_id }}",
+        deferrable=False,
     )
 
     fivetran_sync_wait = FivetranSensor(
         task_id="fivetran-sensor",
         fivetran_conn_id="fivetran_default",
         connector_id="{{ var.value.connector_id }}",
         poke_interval=5,
+        deferrable=False,
     )
 
     fivetran_sync_start >> fivetran_sync_wait

fivetran_provider_async/example_dags/example_fivetran_async.py

@@ -2,8 +2,8 @@
 
 from airflow import DAG
 
-from fivetran_provider_async.operators import FivetranOperator, FivetranOperatorAsync
-from fivetran_provider_async.sensors import FivetranSensorAsync
+from fivetran_provider_async.operators import FivetranOperator
+from fivetran_provider_async.sensors import FivetranSensor
 
 default_args = {
     "owner": "Airflow",
@@ -19,17 +19,18 @@
 )
 
 with dag:
-    fivetran_async_op = FivetranOperatorAsync(
+    fivetran_async_op = FivetranOperator(
         task_id="fivetran_async_op",
         connector_id="bronzing_largely",
     )
 
     fivetran_sync_op = FivetranOperator(
         task_id="fivetran_sync_op",
         connector_id="bronzing_largely",
+        deferrable=False,
     )
 
-    fivetran_async_sensor = FivetranSensorAsync(
+    fivetran_async_sensor = FivetranSensor(
         task_id="fivetran_async_sensor",
         connector_id="bronzing_largely",
         poke_interval=5,

fivetran_provider_async/example_dags/example_fivetran_bigquery.py

@@ -49,13 +49,15 @@
         task_id="fivetran-task",
         fivetran_conn_id="fivetran_default",
         connector_id="{{ var.value.connector_id }}",
+        deferrable=False,
     )
 
     fivetran_sync_wait = FivetranSensor(
         task_id="fivetran-sensor",
         fivetran_conn_id="fivetran_default",
         connector_id="{{ var.value.connector_id }}",
         poke_interval=5,
+        deferrable=False,
     )
 
     """

fivetran_provider_async/example_dags/example_fivetran_bqml.py

@@ -72,26 +72,30 @@ def ml_branch(ds, **kwargs):
         task_id="linkedin-sync",
         fivetran_conn_id="fivetran_default",
         connector_id="{{ var.value.linkedin_connector_id }}",
+        deferrable=False,
     )
 
     linkedin_sensor = FivetranSensor(
         task_id="linkedin-sensor",
         fivetran_conn_id="fivetran_default",
         connector_id="{{ var.value.linkedin_connector_id }}",
         poke_interval=5,
+        deferrable=False,
     )
 
     twitter_sync = FivetranOperator(
         task_id="twitter-sync",
         fivetran_conn_id="fivetran_default",
         connector_id="{{ var.value.twitter_connector_id }}",
+        deferrable=False,
     )
 
     twitter_sensor = FivetranSensor(
         task_id="twitter-sensor",
         fivetran_conn_id="fivetran_default",
         connector_id="{{ var.value.twitter_connector_id }}",
         poke_interval=5,
+        deferrable=False,
     )
 
     dbt_run = SSHOperator(

fivetran_provider_async/example_dags/example_fivetran_dbt.py

@@ -20,23 +20,27 @@
     linkedin_sync = FivetranOperator(
         task_id="linkedin-ads-sync",
         connector_id="{{ var.value.linkedin_connector_id }}",
+        deferrable=False,
     )
 
     linkedin_sensor = FivetranSensor(
         task_id="linkedin-sensor",
         connector_id="{{ var.value.linkedin_connector_id }}",
         poke_interval=600,
+        deferrable=False,
     )
 
     twitter_sync = FivetranOperator(
         task_id="twitter-ads-sync",
         connector_id="{{ var.value.twitter_connector_id }}",
+        deferrable=False,
     )
 
     twitter_sensor = FivetranSensor(
         task_id="twitter-sensor",
         connector_id="{{ var.value.twitter_connector_id }}",
         poke_interval=600,
+        deferrable=False,
     )
 
     dbt_run = SSHOperator(

fivetran_provider_async/example_dags/example_fivetran_xcom.py

@@ -25,6 +25,7 @@
         task_id="fivetran-operator",
         fivetran_conn_id="fivetran_default",
         connector_id="{{ var.value.connector_id }}",
+        deferrable=False,
     )
 
     delay_task = PythonOperator(task_id="delay_python_task", python_callable=lambda: time.sleep(60))
@@ -35,6 +36,7 @@
         connector_id="{{ var.value.connector_id }}",
         poke_interval=5,
         xcom="{{ task_instance.xcom_pull('fivetran-operator', key='return_value') }}",
+        deferrable=False,
     )
 
     fivetran_operator >> delay_task >> fivetran_sensor

fivetran_provider_async/operators.py

@@ -1,9 +1,10 @@
+from __future__ import annotations
+
 from typing import Any, Dict, Optional
 
 from airflow.exceptions import AirflowException
 from airflow.models import BaseOperator, BaseOperatorLink
 from airflow.utils.context import Context
-from airflow.utils.decorators import apply_defaults
 
 from fivetran_provider_async.hooks import FivetranHook
 from fivetran_provider_async.triggers import FivetranTrigger
@@ -23,71 +24,6 @@ def get_link(self, operator, dttm):
 
 
 class FivetranOperator(BaseOperator):
-    """
-    `FivetranOperator` starts a Fivetran sync job.
-
-    `FivetranOperator` requires that you specify the `connector_id` of the sync job to
-    start. You can find `connector_id` in the Settings page of the connector you
-    configured in the `Fivetran dashboard <https://fivetran.com/dashboard/connectors>`_.
-    Note that when a Fivetran sync job is controlled via an Operator, it is no longer
-    run on the schedule as managed by Fivetran. In other words, it is now scheduled only
-    from Airflow. This can be changed with the schedule_type parameter.
-
-    :param fivetran_conn_id: `Conn ID` of the Connection to be used to configure
-        the hook.
-    :type fivetran_conn_id: Optional[str]
-    :param fivetran_retry_limit: # of retries when encountering API errors
-    :type fivetran_retry_limit: Optional[int]
-    :param fivetran_retry_delay: Time to wait before retrying API request
-    :type fivetran_retry_delay: int
-    :param connector_id: ID of the Fivetran connector to sync, found on the
-        Connector settings page.
-    :type connector_id: str
-    :param schedule_type: schedule type. Default is "manual" which takes the connector off Fivetran schedule.
-        Set to "auto" to keep connector on Fivetran schedule.
-    :type schedule_type: str
-    """
-
-    operator_extra_links = (RegistryLink(),)
-
-    # Define which fields get jinjaified
-    template_fields = ["connector_id"]
-
-    @apply_defaults
-    def __init__(
-        self,
-        connector_id: str,
-        run_name: Optional[str] = None,
-        timeout_seconds: Optional[int] = None,
-        fivetran_conn_id: str = "fivetran",
-        fivetran_retry_limit: int = 3,
-        fivetran_retry_delay: int = 1,
-        poll_frequency: int = 15,
-        schedule_type: str = "manual",
-        **kwargs,
-    ):
-        super().__init__(**kwargs)
-        self.fivetran_conn_id = fivetran_conn_id
-        self.fivetran_retry_limit = fivetran_retry_limit
-        self.fivetran_retry_delay = fivetran_retry_delay
-        self.connector_id = connector_id
-        self.poll_frequency = poll_frequency
-        self.schedule_type = schedule_type
-
-    def _get_hook(self) -> FivetranHook:
-        return FivetranHook(
-            self.fivetran_conn_id,
-            retry_limit=self.fivetran_retry_limit,
-            retry_delay=self.fivetran_retry_delay,
-        )
-
-    def execute(self, context):
-        hook = self._get_hook()
-        hook.prep_connector(self.connector_id, self.schedule_type)
-        return hook.start_fivetran_sync(self.connector_id)
-
-
-class FivetranOperatorAsync(FivetranOperator):
     """
     `FivetranOperatorAsync` submits a Fivetran sync job , and polls for its status on the
     airflow trigger.`FivetranOperatorAsync` requires that you specify the `connector_id` of
@@ -104,8 +40,13 @@ class FivetranOperatorAsync(FivetranOperator):
     :param poll_frequency: Time in seconds that the job should wait in between each try.
     :param reschedule_wait_time: Optional, if connector is in reset state,
             number of seconds to wait before restarting the sync.
+    :param deferrable: Run operator in deferrable mode
     """
 
+    operator_extra_links = (RegistryLink(),)
+
+    template_fields = ["connector_id"]
+
     def __init__(
         self,
         connector_id: str,
@@ -117,6 +58,7 @@ def __init__(
         poll_frequency: int = 15,
         schedule_type: str = "manual",
         reschedule_wait_time: int = 0,
+        deferrable: bool = True,
         **kwargs,
     ):
         self.connector_id = connector_id
@@ -128,35 +70,36 @@ def __init__(
         self.poll_frequency = poll_frequency
         self.schedule_type = schedule_type
         self.reschedule_wait_time = reschedule_wait_time
-        super().__init__(
-            connector_id=self.connector_id,
-            run_name=self.run_name,
-            timeout_seconds=self.timeout_seconds,
-            fivetran_conn_id=self.fivetran_conn_id,
-            fivetran_retry_limit=self.fivetran_retry_limit,
-            fivetran_retry_delay=self.fivetran_retry_delay,
-            poll_frequency=self.poll_frequency,
-            schedule_type=self.schedule_type,
-            **kwargs,
-        )
+        self.deferrable = deferrable
+        super().__init__(**kwargs)
 
-    def execute(self, context: Dict[str, Any]) -> None:
+    def execute(self, context: Dict[str, Any]) -> None | str:
         """Start the sync using synchronous hook"""
         hook = self._get_hook()
         hook.prep_connector(self.connector_id, self.schedule_type)
-        hook.start_fivetran_sync(self.connector_id)
-
-        # Defer and poll the sync status on the Triggerer
-        self.defer(
-            timeout=self.execution_timeout,
-            trigger=FivetranTrigger(
-                task_id=self.task_id,
-                fivetran_conn_id=self.fivetran_conn_id,
-                connector_id=self.connector_id,
-                poke_interval=self.poll_frequency,
-                reschedule_wait_time=self.reschedule_wait_time,
-            ),
-            method_name="execute_complete",
+        last_sync = hook.start_fivetran_sync(self.connector_id)
+
+        if not self.deferrable:
+            return last_sync
+        else:
+            # Defer and poll the sync status on the Triggerer
+            self.defer(
+                timeout=self.execution_timeout,
+                trigger=FivetranTrigger(
+                    task_id=self.task_id,
+                    fivetran_conn_id=self.fivetran_conn_id,
+                    connector_id=self.connector_id,
+                    poke_interval=self.poll_frequency,
+                    reschedule_wait_time=self.reschedule_wait_time,
+                ),
+                method_name="execute_complete",
+            )
+
+    def _get_hook(self) -> FivetranHook:
+        return FivetranHook(
+            self.fivetran_conn_id,
+            retry_limit=self.fivetran_retry_limit,
+            retry_delay=self.fivetran_retry_delay,
         )
 
     def execute_complete(self, context: "Context", event: Optional[Dict[Any, Any]] = None) -> None:
@@ -242,3 +185,16 @@ def get_openlineage_facets_on_start(self):
 
     def get_openlineage_facets_on_complete(self, task_instance):
         return self.get_openlineage_facets_on_start()
+
+
+class FivetranOperatorAsync(FivetranOperator):
+    def __init__(self, *args, **kwargs):
+        import warnings
+
+        super().__init__(*args, **kwargs)
+
+        warnings.warn(
+            "FivetranOperatorAsync has been deprecated. Please use `FivetranOperator`.",
+            DeprecationWarning,
+            stacklevel=2,
+        )