Merged in dev_umistry (pull request #34)

Updated init objects in Snowflake
This commit is contained in:
Umang Mistry
2024-03-15 21:32:57 +00:00
5 changed files with 191 additions and 22 deletions
+2 -2
View File
@@ -81,14 +81,14 @@ load_training_results = PythonOperator(
task_id="load_request_submissions",
python_callable=call_stored_proc,
dag=dag,
op_kwargs={'proc_name':'LOAD_TRAINING_RESULTS', 'file_type':'request_submission'}
op_kwargs={'proc_name':'', 'file_type':'request_submission'}
)
load_attempt_logs_sp = PythonOperator(
task_id="load_contract_config",
python_callable=call_stored_proc,
dag=dag,
op_kwargs={'proc_name':'LOAD_ATTEMPT_LOGS', 'file_type':'contract_config'}
op_kwargs={'proc_name':'LOAD_CONTRACT_CONFIG', 'file_type':'contract_config'}
)
+100
View File
@@ -0,0 +1,100 @@
from __future__ import annotations
import os
from datetime import datetime
import logging
from airflow import DAG
from airflow.providers.snowflake.operators.snowflake import SnowflakeOperator
from airflow.providers.snowflake.hooks.snowflake import SnowflakeHook
from airflow.operators.python import PythonOperator
from airflow.utils.trigger_rule import TriggerRule
from airflow.operators.empty import EmptyOperator
from airflow.models import Variable
from airflow.exceptions import AirflowFailException
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
SNOWFLAKE_CONN_ID = "doczy_dev_snowflake"
DAG_ID = "load_raw_training_data"
DATABASE="DOCZY_DEV"
# bucket = "airflow-data-ingestion"
TAGS=["dev","training_data","dataload"]
# Trigger rules
ALL_SUCCESS = 'all_success'
ALL_FAILED = 'all_failed'
ALL_DONE = 'all_done'
ONE_SUCCESS = 'one_success'
ONE_FAILED = 'one_failed'
# Passing empty params for now, this will be overridden by the payload from the trigger
# These params can also be set from the Airflow UI while manually triggering the DAG
default_params = {"column_config_file_name": "", "raw_training_data_file_name":""}
# This will be replaced with the payload from the event after API connection is setup
# training_results_file_name = "training_results_sample.csv"
# attempt_logs_file_name = "attempt_logs_sample.csv"
def call_stored_proc(proc_name,file_type, params):
dwh_hook = SnowflakeHook(snowflake_conn_id=SNOWFLAKE_CONN_ID)
with dwh_hook.get_conn() as conn:
# dwh_hook.set_autocommit(conn,autocommit=False)
cur = conn.cursor()
# Added new parameter file_type to determine the file name to be passed to the stored procedure
# The bucket name is set by default to "doczy-dev-infra-raw-data-ingestion" and the files should be ALWAYS save under training_interface/ path for now
if file_type == 'column_config':
file_name = params['column_config_file_name']
elif file_type == 'raw_training_data':
file_name = params['raw_training_data_file_name']
cur.execute(f"CALL {DATABASE}.STG.{proc_name}('{file_name}');")
result = cur.fetchone()
if result[0] == 'Setup, Load, and Audit Complete':
logger.info('PROCEDURE EXECUTED SUCCESSFULLY')
else:
raise AirflowFailException("Check the DAG logs for more information. ERROR FROM SNOWFLAKE: ", result)
logger.info(f"QUERY EXECUTION RESULT: {str(result)}")
dag = DAG(
DAG_ID,
start_date=datetime(2024, 1, 1),
default_args={"snowflake_conn_id": SNOWFLAKE_CONN_ID, "retries":0},
tags=TAGS,
catchup=False,
schedule=None,
params = default_params
)
begin_job = EmptyOperator(task_id='Begin')
load_training_results = PythonOperator(
task_id="load_column_config",
python_callable=call_stored_proc,
dag=dag,
op_kwargs={'proc_name':'LOAD_COLUMN_CONFIG', 'file_type':'column_config'}
)
load_attempt_logs_sp = PythonOperator(
task_id="load_raw_training_data",
python_callable=call_stored_proc,
dag=dag,
op_kwargs={'proc_name':'LOAD_TRAINING_DATA_RAW', 'file_type':'raw_training_data'}
)
end_job = EmptyOperator(task_id='End')
begin_job >> load_training_results >> load_attempt_logs_sp >> end_job
@@ -0,0 +1,69 @@
CREATE OR REPLACE PROCEDURE STG.LOAD_REQUEST_SUBMISSION(file_name VARCHAR)
RETURNS STRING
LANGUAGE SQL
EXECUTE AS CALLER
AS
$$
DECLARE
procedure_name varchar;
BEGIN
procedure_name := 'LOAD_CONTRACT_CONFIG';
call stg.log_audit(:procedure_name, 'Section 1', 99, 'START');
-- Create or replace stage with dynamic file name
EXECUTE IMMEDIATE 'CREATE OR REPLACE STAGE STG.CONTRACT_CONFIG_STAGE
STORAGE_INTEGRATION = dev_bucket_integration
URL = ''s3://doczy-dev-infra-raw-data-ingestion/config_interface/' || :file_name || '''
FILE_FORMAT = (FORMAT_NAME = ''STG.CSV_HEADER'');';
call stg.log_audit(:procedure_name, 'Section 1', 99, 'END');
call stg.log_audit(:procedure_name, 'Section 2', 99, 'START');
COPY INTO STG.CONTRACT_CONFIG FROM (
SELECT
NULLIF(TRIM($1),'') AS REQUEST_ID,
NULLIF(TRIM($2),'') AS CONTRACT_NAME,
NULLIF(TRIM($3),'') AS GROUP_1,
NULLIF(TRIM($4),'') AS GROUP_1_OVERRIDE,
NULLIF(TRIM($5),'') AS GROUP_2,
NULLIF(TRIM($6),'') AS GROUP_2_OVERRIDE,
NULLIF(TRIM($7),'') AS GROUP_3,
NULLIF(TRIM($8),'') AS GROUP_3_OVERRIDE,
NULLIF(TRIM($9),'') AS GROUP_4,
NULLIF(TRIM($10),'') AS GROUP_4_OVERRIDE,
NULLIF(TRIM($11),'') AS GROUP_5,
NULLIF(TRIM($12),'') AS GROUP_5_OVERRIDE,
NULLIF(TRIM($13),'') AS REQUEST_DATETIME,
NULLIF(TRIM($14),'') AS REQUEST_USER,
NULLIF(TRIM($15),'') AS OVERRIDE_DATETIME,
NULLIF(TRIM($16),'') AS LATEST_FLAG DEFAULT TRUE,
NULLIF(TRIM($17),'') AS PIPELINE_KICKOFF_DATETIME
FROM @STG.CONTRACT_CONFIG_STAGE
)
FILE_FORMAT = (FORMAT_NAME = 'STG.CSV_HEADER')
ON_ERROR = ABORT_STATEMENT;
call stg.log_audit(:procedure_name, 'Section 2', 99, 'END');
call stg.log_audit(:procedure_name, 'Section 3', 99, 'START');
INSERT INTO DOCZY_DEV.STG.DIM_AUDIT (AUDIT_SID, TABLE_NAME, SOURCE_FILE_NAME, LOAD_DATE, SOURCE_COUNT)
SELECT STG.AUDIT_SID.NEXTVAL, 'STG.CONTRACT_CONFIG',*
FROM
(SELECT DISTINCT METADATA$FILENAME, CURRENT_TIMESTAMP(), max(METADATA$FILE_ROW_NUMBER) from @STG.CONTRACT_CONFIG_STAGE group by 1,2);
RETURN 'Setup, Load, and Audit Complete';
call stg.log_audit(:procedure_name, 'Section 3', 99, 'END');
END;
$$;
@@ -16,18 +16,18 @@ CREATE TABLE IF NOT EXISTS STG.TRAINING_RESULTS
-- Create file format
CREATE FILE FORMAT IF NOT EXISTS STG.CSV_HEADER
TYPE = 'CSV'
FIELD_DELIMITER = ','
FILE_EXTENSION = '.csv'
RECORD_DELIMITER = '\\n'
DATE_FORMAT = AUTO
TRIM_SPACE = TRUE
NULL_IF = ('NULL', '', 'N/A','?','~','\\N')
SKIP_HEADER = 1
EMPTY_FIELD_AS_NULL = TRUE
FIELD_OPTIONALLY_ENCLOSED_BY = '"'
SKIP_BLANK_LINES = TRUE;
-- CREATE FILE FORMAT IF NOT EXISTS STG.CSV_HEADER
-- TYPE = 'CSV'
-- FIELD_DELIMITER = ','
-- FILE_EXTENSION = '.csv'
-- RECORD_DELIMITER = '\\n'
-- DATE_FORMAT = AUTO
-- TRIM_SPACE = TRUE
-- NULL_IF = ('NULL', '', 'N/A','?','~','\\N')
-- SKIP_HEADER = 0
-- EMPTY_FIELD_AS_NULL = TRUE
-- FIELD_OPTIONALLY_ENCLOSED_BY = '"'
-- SKIP_BLANK_LINES = TRUE;
-- Create staging table for attempt logs
@@ -30,14 +30,14 @@ BEGIN
call stg.log_audit(:procedure_name, 'Section 3', 99, 'START');
-- Copy command to load data
COPY INTO STG.TRAINING_DATA_COLUMN_CONFIG FROM (
SELECT
NULLIF(TRIM($1), '') AS COLUMN_NAME,
NULLIF(TRIM($2), '') AS COLUMN_DATATYPE
FROM @STG.RAW_TRAINING_DATA_STAGE
)
FILE_FORMAT = (FORMAT_NAME = 'STG.CSV_HEADER')
ON_ERROR = ABORT_STATEMENT;
-- COPY INTO STG.TRAINING_DATA_COLUMN_CONFIG FROM (
-- SELECT
-- NULLIF(TRIM($1), '') AS COLUMN_NAME,
-- NULLIF(TRIM($2), '') AS COLUMN_DATATYPE
-- FROM @STG.RAW_TRAINING_DATA_STAGE
-- )
-- FILE_FORMAT = (FORMAT_NAME = 'STG.CSV_HEADER')
-- ON_ERROR = ABORT_STATEMENT;
call stg.log_audit(:procedure_name, 'Section 3', 99, 'END');