"""Asset checks for rds_hook_creator_label data quality.""" from datetime import timedelta import dagster as dg from dagster_snowflake import SnowflakeResource from src.utils.snowflake.constants import Warehouse from src.utils.snowflake.logger import log_query from src.utils.snowflake.query import load_query @dg.asset_check( asset="rds_hook_creator_label", description="Verify that all IDs in the partition are unique (no duplicates)", blocking=False, ) def check_hook_creator_label_id_uniqueness( context: dg.AssetCheckExecutionContext, snowflake: SnowflakeResource ) -> dg.AssetCheckResult: """ Check that all IDs in the current partition are unique. This check: 1. Counts total rows in the partition 2. Counts distinct IDs in the partition 3. Identifies any duplicate IDs if found 4. Fails if duplicates exist, passes otherwise """ logger = context.log # Get partition information - for asset checks, use op_execution_context partition_key = context.op_execution_context.partition_key logger.info(f"Checking ID uniqueness for partition: {partition_key}") # Parse partition key (format: YYYY-MM-DD-HH:00) # Example: "2025-10-03-14:00" partition_parts = partition_key.split("-") p_date = f"{partition_parts[0]}-{partition_parts[1]}-{partition_parts[2]}" p_hour = int(partition_parts[3].split(":")[0]) logger.info(f"Checking partition: p_date={p_date}, p_hour={p_hour}") with snowflake.get_connection() as conn: cursor = conn.cursor() # Use warehouse warehouse_query = load_query( "src/utils/snowflake/queries/use_warehouse.sql", params={"warehouse": Warehouse.SUNO_PROD_RDS_HOURLY_X_SMALL.value} ) cursor.execute(warehouse_query) # Query 1: Check for duplicate IDs duplicate_check_query = f""" SELECT COUNT(*) as total_rows, COUNT(DISTINCT ID) as distinct_ids, COUNT(*) - COUNT(DISTINCT ID) as duplicate_count FROM SUNO_PROD.PROD.RDS_HOOK_CREATOR_LABEL WHERE p_date = '{p_date}' AND p_hour = {p_hour} """ log_query(logger, duplicate_check_query) cursor.execute(duplicate_check_query) result = cursor.fetchone() if not result: return dg.AssetCheckResult( passed=False, description="No data found in partition", metadata={ "partition_key": partition_key, "p_date": p_date, "p_hour": p_hour, } ) total_rows, distinct_ids, duplicate_count = result logger.info(f"Total rows: {total_rows}, Distinct IDs: {distinct_ids}, Duplicates: {duplicate_count}") # If there are duplicates, get details if duplicate_count > 0: return dg.AssetCheckResult( passed=False, description=f"Found {duplicate_count} duplicate IDs in partition {partition_key}", metadata={ "partition_key": partition_key, "p_date": p_date, "p_hour": p_hour, "total_rows": total_rows, "distinct_ids": distinct_ids, "duplicate_count": duplicate_count, } ) # No duplicates - check passes return dg.AssetCheckResult( passed=True, description=f"All {total_rows} IDs in partition {partition_key} are unique", metadata={ "partition_key": partition_key, "p_date": p_date, "p_hour": p_hour, "total_rows": total_rows, "distinct_ids": distinct_ids, "duplicate_count": 0, } )