Michael McGuinness
89 lines
2.7 KiB
Python
89 lines
2.7 KiB
Python
from __future__ import annotations
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import os
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from datetime import datetime
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import logging
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from airflow import DAG
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from airflow.providers.snowflake.operators.snowflake import SnowflakeOperator
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from airflow.providers.snowflake.hooks.snowflake import SnowflakeHook
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from airflow.operators.python import PythonOperator
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from airflow.utils.trigger_rule import TriggerRule
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from airflow.operators.empty import EmptyOperator
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from airflow.models import Variable
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from airflow.exceptions import AirflowFailException
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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SNOWFLAKE_CONN_ID = "doczy_dev_snowflake"
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DAG_ID = "load_doczy_processed_outputs"
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DATABASE = "DOCZY_DEV"
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TAGS = ["dev", "config_interface", "dataload"]
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# Trigger rules
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ALL_SUCCESS = "all_success"
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ALL_FAILED = "all_failed"
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ALL_DONE = "all_done"
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ONE_SUCCESS = "one_success"
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ONE_FAILED = "one_failed"
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# Passing empty params for now, this will be overridden by the payload from the trigger
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# These params can also be set from the Airflow UI while manually triggering the DAG
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# This will be replaced with the payload from the event after API connection is setup
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default_params = {"pipeline_processed_output": ""}
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def call_stored_proc(proc_name, file_type, params):
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dwh_hook = SnowflakeHook(snowflake_conn_id=SNOWFLAKE_CONN_ID)
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with dwh_hook.get_conn() as conn:
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# dwh_hook.set_autocommit(conn,autocommit=False)
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cur = conn.cursor()
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# Added new parameter file_type to determine the file name to be passed to the stored procedure
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if file_type == "pipeline_processed_output":
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file_name = params["pipeline_processed_output"]
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cur.execute(f"CALL {DATABASE}.STG.{proc_name}('{file_name}');")
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result = cur.fetchone()
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if result[0] == "Setup, Load, and Audit Complete":
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logger.info("PROCEDURE EXECUTED SUCCESSFULLY")
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else:
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raise AirflowFailException(
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"Check the DAG logs for more information. ERROR FROM SNOWFLAKE: ",
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result,
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)
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logger.info(f"QUERY EXECUTION RESULT: {str(result)}")
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dag = DAG(
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DAG_ID,
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start_date=datetime(2024, 1, 1),
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default_args={"snowflake_conn_id": SNOWFLAKE_CONN_ID, "retries": 0},
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tags=TAGS,
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catchup=False,
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schedule=None,
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params=default_params,
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)
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begin_job = EmptyOperator(task_id="Begin")
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load_pipeline_processed_output = PythonOperator(
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task_id="load_pipeline_processed_output",
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python_callable=call_stored_proc,
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dag=dag,
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op_kwargs={
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"proc_name": "LOAD_DOCZY_PIPELINE_PROCESSED_OUTPUT",
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"file_type": "pipeline_processed_output",
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},
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)
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end_job = EmptyOperator(task_id="End")
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begin_job >> load_pipeline_processed_output >> end_job
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