Source code for airflow.providers.apache.kylin.hooks.kylin

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from __future__ import annotations

from kylinpy import exceptions, kylinpy

from airflow.exceptions import AirflowException
from airflow.hooks.base import BaseHook


[docs]class KylinHook(BaseHook):
    """
    Interact with Kylin to run CubeSource commands and get job status.

    :param kylin_conn_id: The connection id as configured in Airflow administration.
    :param project: project name
    :param dsn: dsn
    """

    def __init__(
        self,
        kylin_conn_id: str = "kylin_default",
        project: str | None = None,
        dsn: str | None = None,
    ):
        super().__init__()
        self.kylin_conn_id = kylin_conn_id
        self.project = project
        self.dsn = dsn

[docs]    def get_conn(self):
        conn = self.get_connection(self.kylin_conn_id)
        if self.dsn:
            return kylinpy.create_kylin(self.dsn)
        self.project = self.project or conn.schema
        return kylinpy.Kylin(
            conn.host,
            username=conn.login,
            password=conn.password,
            port=conn.port,
            project=self.project,
            **conn.extra_dejson,
        )

[docs]    def cube_run(self, datasource_name, op, **op_args):
        """
        Run CubeSource command which in CubeSource.support_invoke_command

        :param datasource_name:
        :param op: command
        :param op_args: command args
        :return: response
        """
        cube_source = self.get_conn().get_datasource(datasource_name)
        try:
            return cube_source.invoke_command(op, **op_args)
        except exceptions.KylinError as err:
            raise AirflowException(f"Cube operation {op} error , Message: {err}")

[docs]    def get_job_status(self, job_id):
        """
        Get job status

        :param job_id: kylin job id
        :return: job status
        """
        return self.get_conn().get_job(job_id).status