airflow dataplex 源码

airflow dataplex 代码

文件路径：/airflow/providers/google/cloud/sensors/dataplex.py

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# distributed with this work for additional information
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# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing,
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
"""This module contains Google Dataplex sensors."""
from __future__ import annotations

from typing import TYPE_CHECKING, Sequence

if TYPE_CHECKING:
    from airflow.utils.context import Context

from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
from google.api_core.retry import Retry

from airflow.exceptions import AirflowException
from airflow.providers.google.cloud.hooks.dataplex import DataplexHook
from airflow.sensors.base import BaseSensorOperator


class TaskState:
    """Dataplex Task states"""

    STATE_UNSPECIFIED = 0
    ACTIVE = 1
    CREATING = 2
    DELETING = 3
    ACTION_REQUIRED = 4


class DataplexTaskStateSensor(BaseSensorOperator):
    """
    Check the status of the Dataplex task

    :param project_id: Required. The ID of the Google Cloud project that the task belongs to.
    :param region: Required. The ID of the Google Cloud region that the task belongs to.
    :param lake_id: Required. The ID of the Google Cloud lake that the task belongs to.
    :param dataplex_task_id: Required. Task identifier.
    :param api_version: The version of the api that will be requested for example 'v3'.
    :param retry: A retry object used  to retry requests. If `None` is specified, requests
        will not be retried.
    :param metadata: Additional metadata that is provided to the method.
    :param gcp_conn_id: The connection ID to use when fetching connection info.
    :param delegate_to: The account to impersonate, if any. For this to work, the service accountmaking the
        request must have  domain-wide delegation enabled.
    :param impersonation_chain: Optional service account to impersonate using short-term
        credentials, or chained list of accounts required to get the access_token
        of the last account in the list, which will be impersonated in the request.
        If set as a string, the account must grant the originating account
        the Service Account Token Creator IAM role.
        If set as a sequence, the identities from the list must grant
        Service Account Token Creator IAM role to the directly preceding identity, with first
        account from the list granting this role to the originating account (templated).
    """

    template_fields = ['dataplex_task_id']

    def __init__(
        self,
        project_id: str,
        region: str,
        lake_id: str,
        dataplex_task_id: str,
        api_version: str = "v1",
        retry: Retry | _MethodDefault = DEFAULT,
        metadata: Sequence[tuple[str, str]] = (),
        gcp_conn_id: str = "google_cloud_default",
        delegate_to: str | None = None,
        impersonation_chain: str | Sequence[str] | None = None,
        *args,
        **kwargs,
    ) -> None:
        super().__init__(*args, **kwargs)
        self.project_id = project_id
        self.region = region
        self.lake_id = lake_id
        self.dataplex_task_id = dataplex_task_id
        self.api_version = api_version
        self.retry = retry
        self.metadata = metadata
        self.gcp_conn_id = gcp_conn_id
        self.delegate_to = delegate_to
        self.impersonation_chain = impersonation_chain

    def poke(self, context: Context) -> bool:
        self.log.info("Waiting for task %s to be %s", self.dataplex_task_id, TaskState.ACTIVE)
        hook = DataplexHook(
            gcp_conn_id=self.gcp_conn_id,
            delegate_to=self.delegate_to,
            api_version=self.api_version,
            impersonation_chain=self.impersonation_chain,
        )

        task = hook.get_task(
            project_id=self.project_id,
            region=self.region,
            lake_id=self.lake_id,
            dataplex_task_id=self.dataplex_task_id,
            retry=self.retry,
            metadata=self.metadata,
        )
        task_status = task.state

        if task_status == TaskState.DELETING:
            raise AirflowException(f"Task is going to be deleted {self.dataplex_task_id}")

        self.log.info("Current status of the Dataplex task %s => %s", self.dataplex_task_id, task_status)

        return task_status == TaskState.ACTIVE

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