"""Discount redemption asset for processing RDS discount redemption data and triggering Glue export."""

from datetime import datetime
import warnings
from pathlib import Path

import dagster as dg
from dagster_snowflake import SnowflakeResource

from src.utils.snowflake.constants import TIME_WINDOW_FRESHNESS_POLICY_WARN_1H_FAIL_2H, Group, PartitionExpr, Warehouse, SnowflakeDB, Team, SnowflakeSchema
from src.utils.snowflake.logger import log_query
from src.utils.snowflake.query import load_query
from src.utils.glue_utils import trigger_glue_job
from src.utils.automation_conditions import rds_hourly_cron_condition

warnings.filterwarnings("ignore", category=dg.BetaWarning)

ASSET_DIR = Path(__file__).parent
DISCOUNT_REDEMPTION_START_DATE = datetime.strptime('2024-01-01', '%Y-%m-%d')
DISCOUNT_REDEMPTION_TABLE_NAME = "RDS_DISCOUNT_REDEMPTION"
WAREHOUSE = Warehouse.SUNO_PROD_RDS_HOURLY_X_SMALL.value
SNOWFLAKE_DB = SnowflakeDB.SUNO_PROD.value
SNOWFLAKE_SCHEMA = SnowflakeSchema.PROD.value

@dg.asset(
    name="rds_discount_redemption",
    description="Processed discount redemption table with data from RDS, triggers Glue export to S3.",
    group_name=Group.RDS.value,
    partitions_def=dg.HourlyPartitionsDefinition(start_date=DISCOUNT_REDEMPTION_START_DATE, end_offset=0),
    backfill_policy=dg.BackfillPolicy.multi_run(max_partitions_per_run=24),
    owners=[Team.CORE_POD.value],
    metadata={
        "database": SNOWFLAKE_DB, "schema": SNOWFLAKE_SCHEMA, "table_name": DISCOUNT_REDEMPTION_TABLE_NAME,
        "data_start_date": DISCOUNT_REDEMPTION_START_DATE.strftime("%Y-%m-%d"), "cluster_by": "[p_date, p_hour]",
        "partition_expr": PartitionExpr.HOURLY.value, "transient": True, "sla_minutes": 60,
    },
    automation_condition=rds_hourly_cron_condition,
    freshness_policy=TIME_WINDOW_FRESHNESS_POLICY_WARN_1H_FAIL_2H,
)
def rds_discount_redemption(context: dg.AssetExecutionContext, snowflake: SnowflakeResource) -> dg.MaterializeResult:
    run_id = context.run.run_id
    logger = dg.get_dagster_logger()
    partition_start = context.partition_time_window.start
    partition_end = context.partition_time_window.end

    fetch_params = {
        "partition_start_date": partition_start.strftime("%Y-%m-%d"), "partition_end_date": partition_end.strftime("%Y-%m-%d"),
        "partition_start_hour": partition_start.hour, "partition_end_hour": partition_end.hour,
        "discount_redemption_table_name": DISCOUNT_REDEMPTION_TABLE_NAME,
        "stage_path": f"@SUNO_DATABASE_EVENTS/billing_discountredemption/pdate={partition_start.strftime('%Y-%m-%d')}/phour={partition_start.strftime('%H')}",
    }

    rows_affected = 0
    try:
        glue_result = trigger_glue_job("rds_to_s3_billing_discountredemption_hourly_upsert", context, {"--partition_date": partition_start.strftime("%Y-%m-%d"), "--partition_hour": str(partition_start.hour)}, 20, True, 1800)
        glue_job_status, glue_job_id, glue_execution_time = "SUCCESS", glue_result.get("job_run_id", "N/A"), glue_result.get("execution_time", 0)
    except Exception as e:
        logger.error(f"Glue job failed: {str(e)}")
        glue_job_status, glue_job_id, glue_execution_time = "FAILED", "N/A", 0
        raise e

    with snowflake.get_connection() as conn:
        cursor = conn.cursor()
        cursor.execute(load_query("src/utils/snowflake/queries/use_warehouse.sql", params={"warehouse": WAREHOUSE}))
        cursor.execute(load_query("src/utils/snowflake/queries/delete_hourly_partitions.sql", params={**fetch_params, "delete_partition_table_name": DISCOUNT_REDEMPTION_TABLE_NAME}))
        cursor.execute(load_query(ASSET_DIR / "upsert.sql", params=fetch_params))
        rows_affected = cursor.rowcount

    return dg.MaterializeResult(metadata={"run_id": dg.MetadataValue.text(run_id), "table_name": DISCOUNT_REDEMPTION_TABLE_NAME, "dagster/row_count": rows_affected, "glue_job_status": dg.MetadataValue.text(glue_job_status), "glue_job_run_id": dg.MetadataValue.text(glue_job_id), "glue_execution_time_seconds": glue_execution_time})