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.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
PLAYLIST_START_DATE = datetime.strptime('2024-01-01', '%Y-%m-%d')
SNOWFLAKE_TABLE_NAME = "rds_playlist"
DATABASE_TABLE_NAME = "bots_playlist"
WAREHOUSE = Warehouse.SUNO_PROD_RDS_HOURLY_MEDUIM.value

@dg.asset(
    name="rds_playlist",
    description="Playlist information with stats and flags",
    group_name=Group.RDS.value,
    partitions_def=dg.HourlyPartitionsDefinition(start_date=PLAYLIST_START_DATE, end_offset=0),
    backfill_policy=dg.BackfillPolicy.multi_run(max_partitions_per_run=24),
    owners=[Team.CORE_POD.value],
    metadata={
        "database": SnowflakeDB.SUNO_PROD.value,
        "schema": SnowflakeSchema.PROD.value,
        "table_name": SNOWFLAKE_TABLE_NAME,
        "cluster_by": "see_table_sql",
        "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_playlist(context: dg.AssetExecutionContext, snowflake: SnowflakeResource) -> dg.MaterializeResult:
    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,
        "playlist_table_name": SNOWFLAKE_TABLE_NAME,
        "stage_path": f"@SUNO_DATABASE_EVENTS/{DATABASE_TABLE_NAME}/pdate={partition_start.strftime('%Y-%m-%d')}/phour={partition_start.strftime('%H')}"
    }
    
    try:
        glue_result = trigger_glue_job(
            "rds_to_s3_bots_playlist_hourly_upsert",
            context,
            {
                "--partition_date": partition_start.strftime("%Y-%m-%d"),
                "--partition_hour": str(partition_start.hour)
            },
            wait_for_completion=True,
            poll_interval=20,
            timeout=1800
        )
        glue_job_status = "SUCCESS"
        glue_job_id = glue_result.get("job_run_id", "N/A")
        glue_execution_time = glue_result.get("execution_time", 0)
    except Exception as e:
        logger.error(f"Glue job failed: {str(e)}")
        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": SNOWFLAKE_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(context.run.run_id),
            "table_name": SNOWFLAKE_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
        }
    )