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75 lines
1.9 KiB
Python
75 lines
1.9 KiB
Python
import logging
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from datetime import datetime, timedelta
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from typing import Any, List, Tuple
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from airflow import DAG
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from airflow.models.baseoperator import BaseOperator
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from datahub_airflow_plugin.entities import Dataset
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logger = logging.getLogger(__name__)
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class CustomOperator(BaseOperator):
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def __init__(self, name, **kwargs):
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super().__init__(**kwargs)
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self.name = name
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def execute(self, context):
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"""
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Other code....
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"""
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logger.info("executing other code here")
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input_tables = ["mydb.schema.tableA", "mydb.schema.tableB"]
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output_tables = ["mydb.schema.tableD"]
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inlets, outlets = self._get_sf_lineage(input_tables, output_tables)
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context["ti"].task.inlets = inlets
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context["ti"].task.outlets = outlets
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@staticmethod
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def _get_sf_lineage(
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input_tables: List[str], output_tables: List[str]
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) -> Tuple[List[Any], List[Any]]:
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"""
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Get lineage tables from Snowflake.
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"""
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inlets: List[Dataset] = []
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outlets: List[Dataset] = []
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for table in input_tables:
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inlets.append(Dataset(platform="snowflake", name=table))
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for table in output_tables:
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outlets.append(Dataset(platform="snowflake", name=table))
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return inlets, outlets
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default_args = {
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"owner": "airflow",
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"depends_on_past": False,
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"start_date": datetime(2023, 1, 1),
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"email": ["jdoe@example.com"],
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"email_on_failure": False,
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"execution_timeout": timedelta(minutes=5),
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}
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with DAG(
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"custom_operator_dag",
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default_args=default_args,
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description="An example dag with custom operator",
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schedule_interval=None,
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tags=["example_tag"],
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catchup=False,
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default_view="tree",
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) as dag:
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custom_task = CustomOperator(
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task_id="custom_task_id",
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name="custom_name",
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dag=dag,
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)
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