81 lines
2.2 KiB
Python
81 lines
2.2 KiB
Python
import logging
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from airflow.exceptions import AirflowFailException
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from airflow.operators.empty import EmptyOperator
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from airflow.operators.python import PythonOperator
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from datetime import datetime
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from airflow import DAG
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from airflow.providers.snowflake.hooks.snowflake import SnowflakeHook
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# from openpyxl.workbook import Workbook
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import pandas as pd
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import boto3
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import io
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SNOWFLAKE_CONN_ID="doczy_dev_snowflake"
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TAGS=["QC","dev","etl","QC-Summery"]
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DAG_ID="qc_report_dag"
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bucket = "doczy-dev-infra-mwaa-resources"
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object_key = "outputs/"
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DATABASE="DOCZY_DEV"
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SCHEMA = "STG"
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TABLE_NAME = "TRAINING_DATA_RAW"
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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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args = {"owner": "Airflow", "start_date": datetime(2022, 1, 1), "retries":0 }
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dag = DAG(
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dag_id=DAG_ID, default_args=args, schedule=None,
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tags=TAGS
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)
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def getData():
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# Setup connection to Snowflake
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dwh_hook = SnowflakeHook(snowflake_conn_id=SNOWFLAKE_CONN_ID)
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conn = dwh_hook.get_conn() # Get the raw connection
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# Your query and the database details
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qc_query = f"SELECT * FROM {DATABASE}.{SCHEMA}.{TABLE_NAME}"
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# Fetch data into a Pandas DataFrame
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df = pd.read_sql(qc_query, conn)
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# Initialize S3 client
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s3 = boto3.client("s3")
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# Create a buffer to hold the data
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with io.StringIO() as csv_buffer:
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df.to_csv(csv_buffer, index=False)
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# Save the data to S3
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response = s3.put_object(
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Bucket=bucket, Key=object_key+'snowflake_table_results.csv' , Body=csv_buffer.getvalue()
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)
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status = response.get("ResponseMetadata", {}).get("HTTPStatusCode")
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if status == 200:
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print(f"Successful S3 put_object response. Status - {status}")
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else:
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raise AirflowFailException(f"Unsuccessful S3 put_object response. Status - {status}")
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print("Dataframe is written to S3 successfully.")
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with dag:
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begin_job = EmptyOperator(task_id='Begin')
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get_data_from_snowflake = PythonOperator(task_id="get_data_from_snowflake", python_callable=getData)
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end_job = EmptyOperator(task_id='End')
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begin_job >> get_data_from_snowflake >> end_job |