"""Asset checks for rds_usage_plan data quality."""

import dagster as dg
from dagster_snowflake import SnowflakeResource

from src.utils.snowflake.constants import Warehouse
from src.utils.snowflake.query import load_query


@dg.asset_check(
    asset="rds_usage_plan",
    description="Verify ID uniqueness",
    blocking=False
)
def check_usage_plan_id_uniqueness(
    context: dg.AssetCheckExecutionContext,
    snowflake: SnowflakeResource
) -> dg.AssetCheckResult:
    """Check that all IDs in the usage plan table are unique."""
    with snowflake.get_connection() as conn:
        cursor = conn.cursor()
        cursor.execute(load_query(
            "src/utils/snowflake/queries/use_warehouse.sql",
            params={"warehouse": Warehouse.SUNO_PROD_RDS_HOURLY_X_SMALL.value}
        ))
        
        cursor.execute(
            "SELECT COUNT(*), COUNT(DISTINCT ID), COUNT(*) - COUNT(DISTINCT ID) "
            "FROM SUNO_PROD.PROD.RDS_USAGE_PLAN"
        )
        total, distinct, dupes = cursor.fetchone() or (0, 0, 0)
        
        return dg.AssetCheckResult(
            passed=dupes == 0,
            description=f"{'Unique' if dupes == 0 else f'{dupes} duplicates'}",
            metadata={
                "total_rows": total,
                "distinct_ids": distinct,
                "duplicates": dupes
            }
        )


@dg.asset_check(
    asset="rds_usage_plan",
    description="Verify row count > 0",
    blocking=False
)
def check_usage_plan_row_count(
    context: dg.AssetCheckExecutionContext,
    snowflake: SnowflakeResource
) -> dg.AssetCheckResult:
    """Check that the usage plan table has data."""
    with snowflake.get_connection() as conn:
        cursor = conn.cursor()
        cursor.execute(load_query(
            "src/utils/snowflake/queries/use_warehouse.sql",
            params={"warehouse": Warehouse.SUNO_PROD_RDS_HOURLY_X_SMALL.value}
        ))
        
        cursor.execute("SELECT COUNT(*) FROM SUNO_PROD.PROD.RDS_USAGE_PLAN")
        row_count = cursor.fetchone()[0]
        
        return dg.AssetCheckResult(
            passed=row_count > 0,
            description=f"Table has {row_count} rows",
            metadata={"row_count": row_count}
        )


# Export all asset checks
asset_checks = [
    check_usage_plan_id_uniqueness,
    check_usage_plan_row_count,
]

__all__ = ["asset_checks"]