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# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
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# KIND, either express or implied.  See the License for the
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import logging
import re
from datetime import datetime
from typing import Any, List, Optional, Tuple, TYPE_CHECKING

from sqlalchemy.types import String, UnicodeText

from superset.db_engine_specs.base import BaseEngineSpec, LimitMethod
from superset.utils import core as utils

if TYPE_CHECKING:
    from superset.models.core import Database

logger = logging.getLogger(__name__)


class MssqlEngineSpec(BaseEngineSpec):
    engine = "mssql"
    engine_name = "Microsoft SQL"
    limit_method = LimitMethod.WRAP_SQL
    max_column_name_length = 128

    _time_grain_expressions = {
        None: "{col}",
        "PT1S": "DATEADD(second, DATEDIFF(second, '2000-01-01', {col}), '2000-01-01')",
        "PT1M": "DATEADD(minute, DATEDIFF(minute, 0, {col}), 0)",
        "PT5M": "DATEADD(minute, DATEDIFF(minute, 0, {col}) / 5 * 5, 0)",
        "PT10M": "DATEADD(minute, DATEDIFF(minute, 0, {col}) / 10 * 10, 0)",
        "PT15M": "DATEADD(minute, DATEDIFF(minute, 0, {col}) / 15 * 15, 0)",
        "PT0.5H": "DATEADD(minute, DATEDIFF(minute, 0, {col}) / 30 * 30, 0)",
        "PT1H": "DATEADD(hour, DATEDIFF(hour, 0, {col}), 0)",
        "P1D": "DATEADD(day, DATEDIFF(day, 0, {col}), 0)",
        "P1W": "DATEADD(week, DATEDIFF(week, 0, {col}), 0)",
        "P1M": "DATEADD(month, DATEDIFF(month, 0, {col}), 0)",
        "P0.25Y": "DATEADD(quarter, DATEDIFF(quarter, 0, {col}), 0)",
        "P1Y": "DATEADD(year, DATEDIFF(year, 0, {col}), 0)",
    }

    @classmethod
    def epoch_to_dttm(cls) -> str:
        return "dateadd(S, {col}, '1970-01-01')"

    @classmethod
    def convert_dttm(cls, target_type: str, dttm: datetime) -> Optional[str]:
        tt = target_type.upper()
        if tt == utils.TemporalType.DATE:
            return f"CONVERT(DATE, '{dttm.date().isoformat()}', 23)"
        if tt == utils.TemporalType.DATETIME:
            datetime_formatted = dttm.isoformat(timespec="milliseconds")
            return f"""CONVERT(DATETIME, '{datetime_formatted}', 126)"""
        if tt == utils.TemporalType.SMALLDATETIME:
            datetime_formatted = dttm.isoformat(sep=" ", timespec="seconds")
            return f"""CONVERT(SMALLDATETIME, '{datetime_formatted}', 20)"""
        return None

    @classmethod
    def fetch_data(
        cls, cursor: Any, limit: Optional[int] = None
    ) -> List[Tuple[Any, ...]]:
        data = super().fetch_data(cursor, limit)
        # Lists of `pyodbc.Row` need to be unpacked further
        return cls.pyodbc_rows_to_tuples(data)

    column_type_mappings = (
        (re.compile(r"^N((VAR)?CHAR|TEXT)", re.IGNORECASE), UnicodeText()),
        (re.compile(r"^((VAR)?CHAR|TEXT|STRING)", re.IGNORECASE), String()),
    )

    @classmethod
    def extract_error_message(cls, ex: Exception) -> str:
        if str(ex).startswith("(8155,"):
            return (
                f"{cls.engine} error: All your SQL functions need to "
                "have an alias on MSSQL. For example: SELECT COUNT(*) AS C1 FROM TABLE1"
            )
        return f"{cls.engine} error: {cls._extract_error_message(ex)}"