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# to you under the Apache License, Version 2.0 (the
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#
#   http://www.apache.org/licenses/LICENSE-2.0
#
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from datetime import datetime
from typing import Any, Optional

from sqlalchemy import types

from superset.constants import TimeGrain
from superset.db_engine_specs.base import BaseEngineSpec, DatabaseCategory


class FireboltEngineSpec(BaseEngineSpec):
    """Engine spec for Firebolt"""

    engine = "firebolt"
    engine_name = "Firebolt"
    default_driver = "firebolt"

    metadata = {
        "description": (
            "Firebolt is a cloud data warehouse designed for "
            "high-performance analytics."
        ),
        "logo": "firebolt.png",
        "homepage_url": "https://www.firebolt.io/",
        "categories": [
            DatabaseCategory.CLOUD_DATA_WAREHOUSES,
            DatabaseCategory.ANALYTICAL_DATABASES,
            DatabaseCategory.PROPRIETARY,
        ],
        "pypi_packages": ["firebolt-sqlalchemy"],
        "connection_string": (
            "firebolt://{client_id}:{client_secret}@{database}/{engine_name}"
            "?account_name={account_name}"
        ),
        "parameters": {
            "client_id": "Service account client ID",
            "client_secret": "Service account client secret",
            "database": "Database name",
            "engine_name": "Engine name",
            "account_name": "Account name",
        },
        "drivers": [
            {
                "name": "firebolt-sqlalchemy",
                "pypi_package": "firebolt-sqlalchemy",
                "connection_string": (
                    "firebolt://{client_id}:{client_secret}@{database}/{engine_name}"
                    "?account_name={account_name}"
                ),
                "is_recommended": True,
            },
        ],
    }

    _time_grain_expressions = {
        None: "{col}",
        TimeGrain.SECOND: "date_trunc('second', CAST({col} AS TIMESTAMP))",
        TimeGrain.MINUTE: "date_trunc('minute', CAST({col} AS TIMESTAMP))",
        TimeGrain.HOUR: "date_trunc('hour', CAST({col} AS TIMESTAMP))",
        TimeGrain.DAY: "date_trunc('day', CAST({col} AS TIMESTAMP))",
        TimeGrain.WEEK: "date_trunc('week', CAST({col} AS TIMESTAMP))",
        TimeGrain.MONTH: "date_trunc('month', CAST({col} AS TIMESTAMP))",
        TimeGrain.QUARTER: "date_trunc('quarter', CAST({col} AS TIMESTAMP))",
        TimeGrain.YEAR: "date_trunc('year', CAST({col} AS TIMESTAMP))",
    }

    @classmethod
    def convert_dttm(
        cls, target_type: str, dttm: datetime, db_extra: Optional[dict[str, Any]] = None
    ) -> Optional[str]:
        sqla_type = cls.get_sqla_column_type(target_type)

        if isinstance(sqla_type, types.Date):
            return f"CAST('{dttm.date().isoformat()}' AS DATE)"
        if isinstance(sqla_type, types.TIMESTAMP):
            return f"""CAST('{dttm.isoformat(timespec="seconds")}' AS TIMESTAMP)"""
        if isinstance(sqla_type, types.DateTime):
            return f"""CAST('{dttm.isoformat(timespec="seconds")}' AS DATETIME)"""
        return None

    @classmethod
    def epoch_to_dttm(cls) -> str:
        return "from_unixtime({col})"