Implement DbtCloudJobRunOperatorAsync and `DbtCloudJobRunSensorAsy…

…nc` (#623)

README.rst

@@ -83,6 +83,10 @@ Extras
      - ``pip install 'astronomer-providers[databricks]'``
      - Databricks
 
+   * - ``dbt.cloud``
+     - ``pip install 'astronomer-providers[dbt.cloud]'``
+     - Dbt Cloud
+
    * - ``google``
      - ``pip install 'astronomer-providers[google]'``
      - Google

astronomer/providers/dbt/cloud/example_dags/example_dbt_cloud.py

@@ -0,0 +1,61 @@
+"""Example use of DBTCloudAsync related providers."""
+
+import os
+from datetime import timedelta
+
+from airflow import DAG
+from airflow.operators.empty import EmptyOperator
+from airflow.providers.dbt.cloud.operators.dbt import DbtCloudRunJobOperator
+from airflow.utils.timezone import datetime
+
+from astronomer.providers.dbt.cloud.operators.dbt import DbtCloudRunJobOperatorAsync
+from astronomer.providers.dbt.cloud.sensors.dbt import DbtCloudJobRunSensorAsync
+
+DBT_CLOUD_CONN_ID = os.getenv("ASTRO_DBT_CLOUD_CONN", "dbt_cloud_default")
+DBT_CLOUD_ACCOUNT_ID = os.getenv("ASTRO_DBT_CLOUD_ACCOUNT_ID", 12345)
+DBT_CLOUD_JOB_ID = int(os.getenv("ASTRO_DBT_CLOUD_JOB_ID", 12345))
+EXECUTION_TIMEOUT = int(os.getenv("EXECUTION_TIMEOUT", 6))
+
+
+default_args = {
+    "execution_timeout": timedelta(hours=EXECUTION_TIMEOUT),
+    "dbt_cloud_conn_id": DBT_CLOUD_CONN_ID,
+    "account_id": DBT_CLOUD_ACCOUNT_ID,
+    "retries": int(os.getenv("DEFAULT_TASK_RETRIES", 2)),
+    "retry_delay": timedelta(seconds=int(os.getenv("DEFAULT_RETRY_DELAY_SECONDS", 60))),
+}
+
+with DAG(
+    dag_id="example_dbt_cloud",
+    start_date=datetime(2022, 1, 1),
+    schedule_interval=None,
+    default_args=default_args,
+    tags=["example", "async", "dbt-cloud"],
+    catchup=False,
+) as dag:
+    start = EmptyOperator(task_id="start")
+    end = EmptyOperator(task_id="end")
+    # [START howto_operator_dbt_cloud_run_job_async]
+    trigger_dbt_job_run_async = DbtCloudRunJobOperatorAsync(
+        task_id="trigger_dbt_job_run_async",
+        job_id=DBT_CLOUD_JOB_ID,
+        check_interval=10,
+        timeout=300,
+    )
+    # [END howto_operator_dbt_cloud_run_job_async]
+
+    trigger_job_run2 = DbtCloudRunJobOperator(
+        task_id="trigger_job_run2",
+        job_id=DBT_CLOUD_JOB_ID,
+        wait_for_termination=False,
+        additional_run_config={"threads_override": 8},
+    )
+
+    # [START howto_operator_dbt_cloud_run_job_sensor_async]
+    job_run_sensor_async = DbtCloudJobRunSensorAsync(
+        task_id="job_run_sensor_async", run_id=trigger_job_run2.output, timeout=20
+    )
+    # [END howto_operator_dbt_cloud_run_job_sensor_async]
+
+    start >> trigger_dbt_job_run_async >> end
+    start >> trigger_job_run2 >> job_run_sensor_async >> end

astronomer/providers/dbt/cloud/hooks/dbt.py

@@ -0,0 +1,134 @@
+from functools import wraps
+from inspect import signature
+from typing import Any, Dict, List, Optional, Tuple, TypeVar, cast
+
+import aiohttp
+from aiohttp import ClientResponseError
+from airflow import AirflowException
+from airflow.hooks.base import BaseHook
+from airflow.models import Connection
+from asgiref.sync import sync_to_async
+
+from astronomer.providers.package import get_provider_info
+
+T = TypeVar("T", bound=Any)
+
+
+def provide_account_id(func: T) -> T:
+    """
+    Decorator which provides a fallback value for ``account_id``. If the ``account_id`` is None or not passed
+    to the decorated function, the value will be taken from the configured dbt Cloud Airflow Connection.
+    """
+    function_signature = signature(func)
+
+    @wraps(func)
+    async def wrapper(*args: Any, **kwargs: Any) -> Any:
+        bound_args = function_signature.bind(*args, **kwargs)
+
+        if bound_args.arguments.get("account_id") is None:
+            self = args[0]
+            if self.dbt_cloud_conn_id:
+                connection = await sync_to_async(self.get_connection)(self.dbt_cloud_conn_id)
+                default_account_id = connection.login
+                if not default_account_id:
+                    raise AirflowException("Could not determine the dbt Cloud account.")
+                bound_args.arguments["account_id"] = int(default_account_id)
+
+        return await func(*bound_args.args, **bound_args.kwargs)
+
+    return cast(T, wrapper)
+
+
+class DbtCloudHookAsync(BaseHook):
+    """
+    Interact with dbt Cloud using the V2 API.
+
+    :param dbt_cloud_conn_id: The ID of the :ref:`dbt Cloud connection <howto/connection:dbt-cloud>`.
+    """
+
+    conn_name_attr = "dbt_cloud_conn_id"
+    default_conn_name = "dbt_cloud_default"
+    conn_type = "dbt_cloud"
+    hook_name = "dbt Cloud"
+
+    def __init__(self, dbt_cloud_conn_id: str):
+        self.dbt_cloud_conn_id = dbt_cloud_conn_id
+
+    async def get_headers_tenants_from_connection(self) -> Tuple[Dict[str, Any], str]:
+        """Get Headers, tenants from the connection details"""
+        headers: Dict[str, Any] = {}
+        connection: Connection = await sync_to_async(self.get_connection)(self.dbt_cloud_conn_id)
+        tenant: str = connection.schema if connection.schema else "cloud"
+        provider_info = get_provider_info()
+        package_name = provider_info["package-name"]
+        version = provider_info["versions"]
+        headers["User-Agent"] = f"{package_name}-v{version}"
+        headers["Content-Type"] = "application/json"
+        headers["Authorization"] = f"Token {connection.password}"
+        return headers, tenant
+
+    @staticmethod
+    def get_request_url_params(
+        tenant: str, endpoint: str, include_related: Optional[List[str]] = None
+    ) -> Tuple[str, Dict[str, Any]]:
+        """
+        Form URL from base url and endpoint url
+
+        :param tenant: The tenant name which is need to be replaced in base url.
+        :param endpoint: Endpoint url to be requested.
+        :param include_related: Optional. List of related fields to pull with the run.
+            Valid values are "trigger", "job", "repository", and "environment".
+        """
+        data: Dict[str, Any] = {}
+        base_url = f"https://{tenant}.getdbt.com/api/v2/accounts/"
+        if include_related:
+            data = {"include_related": include_related}
+        if base_url and not base_url.endswith("/") and endpoint and not endpoint.startswith("/"):
+            url = base_url + "/" + endpoint
+        else:
+            url = (base_url or "") + (endpoint or "")
+        return url, data
+
+    @provide_account_id
+    async def get_job_details(
+        self, run_id: int, account_id: Optional[int] = None, include_related: Optional[List[str]] = None
+    ) -> Any:
+        """
+        Uses Http async call to retrieve metadata for a specific run of a dbt Cloud job.
+
+        :param run_id: The ID of a dbt Cloud job run.
+        :param account_id: Optional. The ID of a dbt Cloud account.
+        :param include_related: Optional. List of related fields to pull with the run.
+            Valid values are "trigger", "job", "repository", and "environment".
+        """
+        endpoint = f"{account_id}/runs/{run_id}/"
+        headers, tenant = await self.get_headers_tenants_from_connection()
+        url, params = self.get_request_url_params(tenant, endpoint, include_related)
+        async with aiohttp.ClientSession(headers=headers) as session:
+            async with session.get(url, params=params) as response:
+                try:
+                    response.raise_for_status()
+                    return await response.json()
+                except ClientResponseError as e:
+                    raise AirflowException(str(e.status) + ":" + e.message)
+
+    async def get_job_status(
+        self, run_id: int, account_id: Optional[int] = None, include_related: Optional[List[str]] = None
+    ) -> int:
+        """
+        Retrieves the status for a specific run of a dbt Cloud job.
+
+        :param run_id: The ID of a dbt Cloud job run.
+        :param account_id: Optional. The ID of a dbt Cloud account.
+        :param include_related: Optional. List of related fields to pull with the run.
+            Valid values are "trigger", "job", "repository", and "environment".
+        """
+        try:
+            self.log.info("Getting the status of job run %s.", str(run_id))
+            response = await self.get_job_details(
+                run_id, account_id=account_id, include_related=include_related
+            )
+            job_run_status: int = response["data"]["status"]
+            return job_run_status
+        except Exception as e:
+            raise e

astronomer/providers/dbt/cloud/operators/dbt.py

@@ -0,0 +1,79 @@
+import time
+from typing import TYPE_CHECKING, Any, Dict
+
+from airflow import AirflowException
+from airflow.providers.dbt.cloud.hooks.dbt import DbtCloudHook
+from airflow.providers.dbt.cloud.operators.dbt import DbtCloudRunJobOperator
+
+from astronomer.providers.dbt.cloud.triggers.dbt import DbtCloudRunJobTrigger
+
+if TYPE_CHECKING:  # pragma: no cover
+    from airflow.utils.context import Context
+
+
+class DbtCloudRunJobOperatorAsync(DbtCloudRunJobOperator):
+    """
+    Executes a dbt Cloud job asynchronously. Trigger the dbt cloud job via worker to dbt and with run id in response
+    poll for the status in trigger.
+
+    .. seealso::
+        For more information on sync Operator DbtCloudRunJobOperator, take a look at the guide:
+        :ref:`howto/operator:DbtCloudRunJobOperator`
+
+    :param dbt_cloud_conn_id: The connection ID for connecting to dbt Cloud.
+    :param job_id: The ID of a dbt Cloud job.
+    :param account_id: Optional. The ID of a dbt Cloud account.
+    :param trigger_reason: Optional Description of the reason to trigger the job. Dbt requires the trigger reason while
+        making an API. if it is not provided uses the default reasons.
+    :param steps_override: Optional. List of dbt commands to execute when triggering the job instead of those
+        configured in dbt Cloud.
+    :param schema_override: Optional. Override the destination schema in the configured target for this job.
+    :param timeout: Time in seconds to wait for a job run to reach a terminal status. Defaults to 7 days.
+    :param check_interval: Time in seconds to check on a job run's status. Defaults to 60 seconds.
+    :param additional_run_config: Optional. Any additional parameters that should be included in the API
+        request when triggering the job.
+    :return: The ID of the triggered dbt Cloud job run.
+    """
+
+    def execute(self, context: "Context") -> None:  # type: ignore[override]
+        """Submits a job which generates a run_id and gets deferred"""
+        if self.trigger_reason is None:
+            self.trigger_reason = (
+                f"Triggered via Apache Airflow by task {self.task_id!r} in the {self.dag.dag_id} DAG."
+            )
+        hook = DbtCloudHook(dbt_cloud_conn_id=self.dbt_cloud_conn_id)
+        trigger_job_response = hook.trigger_job_run(
+            account_id=self.account_id,
+            job_id=self.job_id,
+            cause=self.trigger_reason,
+            steps_override=self.steps_override,
+            schema_override=self.schema_override,
+            additional_run_config=self.additional_run_config,
+        )
+        run_id = trigger_job_response.json()["data"]["id"]
+        job_run_url = trigger_job_response.json()["data"]["href"]
+
+        context["ti"].xcom_push(key="job_run_url", value=job_run_url)
+        end_time = time.time() + self.timeout
+        self.defer(
+            timeout=self.execution_timeout,
+            trigger=DbtCloudRunJobTrigger(
+                conn_id=self.dbt_cloud_conn_id,
+                run_id=run_id,
+                end_time=end_time,
+                account_id=self.account_id,
+                poll_interval=self.check_interval,
+            ),
+            method_name="execute_complete",
+        )
+
+    def execute_complete(self, context: "Context", event: Dict[str, Any]) -> int:
+        """
+        Callback for when the trigger fires - returns immediately.
+        Relies on trigger to throw an exception, otherwise it assumes execution was
+        successful.
+        """
+        if event["status"] == "error":
+            raise AirflowException(event["message"])
+        self.log.info(event["message"])
+        return int(event["run_id"])

astronomer/providers/dbt/cloud/sensors/dbt.py

@@ -0,0 +1,62 @@
+import time
+from typing import TYPE_CHECKING, Any, Dict
+
+from airflow import AirflowException
+from airflow.providers.dbt.cloud.sensors.dbt import DbtCloudJobRunSensor
+
+from astronomer.providers.dbt.cloud.triggers.dbt import DbtCloudRunJobTrigger
+
+if TYPE_CHECKING:  # pragma: no cover
+    from airflow.utils.context import Context
+
+
+class DbtCloudJobRunSensorAsync(DbtCloudJobRunSensor):
+    """
+    Checks the status of a dbt Cloud job run.
+
+    .. seealso::
+        For more information on sync Sensor DbtCloudJobRunSensor, take a look at the guide::
+        :ref:`howto/operator:DbtCloudJobRunSensor`
+
+    :param dbt_cloud_conn_id: The connection identifier for connecting to dbt Cloud.
+    :param run_id: The job run identifier.
+    :param account_id: The dbt Cloud account identifier.
+    :param timeout: Time in seconds to wait for a job run to reach a terminal status. Defaults to 7 days.
+    """
+
+    def __init__(
+        self,
+        *,
+        poll_interval: float = 5,
+        timeout: float = 60 * 60 * 24 * 7,
+        **kwargs: Any,
+    ):
+        self.poll_interval = poll_interval
+        self.timeout = timeout
+        super().__init__(**kwargs)
+
+    def execute(self, context: "Context") -> None:
+        """Defers trigger class to poll for state of the job run until it reaches a failure state or success state"""
+        end_time = time.time() + self.timeout
+        self.defer(
+            timeout=self.execution_timeout,
+            trigger=DbtCloudRunJobTrigger(
+                run_id=self.run_id,
+                conn_id=self.dbt_cloud_conn_id,
+                account_id=self.account_id,
+                poll_interval=self.poll_interval,
+                end_time=end_time,
+            ),
+            method_name="execute_complete",
+        )
+
+    def execute_complete(self, context: "Context", event: Dict[str, Any]) -> int:
+        """
+        Callback for when the trigger fires - returns immediately.
+        Relies on trigger to throw an exception, otherwise it assumes execution was
+        successful.
+        """
+        if event["status"] in ["error", "cancelled"]:
+            raise AirflowException(event["message"])
+        self.log.info(event["message"])
+        return int(event["run_id"])