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from superset.db_engine_specs.hive import HiveEngineSpec

time_grain_expressions = {
    None: "{col}",
    "PT1S": "date_trunc('second', {col})",
    "PT1M": "date_trunc('minute', {col})",
    "PT1H": "date_trunc('hour', {col})",
    "P1D": "date_trunc('day', {col})",
    "P1W": "date_trunc('week', {col})",
    "P1M": "date_trunc('month', {col})",
    "P3M": "date_trunc('quarter', {col})",
    "P1Y": "date_trunc('year', {col})",
    "P1W/1970-01-03T00:00:00Z": (
        "date_trunc('week', {col} + interval '1 day') + interval '5 days'"
    ),
    "1969-12-28T00:00:00Z/P1W": (
        "date_trunc('week', {col} + interval '1 day') - interval '1 day'"
    ),
}


class SparkEngineSpec(HiveEngineSpec):
    _time_grain_expressions = time_grain_expressions
    engine_name = "Apache Spark SQL"