sqlglot/sqlglot/dialects/dialect.py

from __future__ import annotations

import logging
import typing as t
from enum import Enum, auto
from functools import reduce

from sqlglot import exp
from sqlglot.errors import ParseError
from sqlglot.generator import Generator
from sqlglot.helper import AutoName, flatten, is_int, seq_get
from sqlglot.jsonpath import parse as parse_json_path
from sqlglot.parser import Parser
from sqlglot.time import TIMEZONES, format_time
from sqlglot.tokens import Token, Tokenizer, TokenType
from sqlglot.trie import new_trie

DATE_ADD_OR_DIFF = t.Union[exp.DateAdd, exp.TsOrDsAdd, exp.DateDiff, exp.TsOrDsDiff]
DATE_ADD_OR_SUB = t.Union[exp.DateAdd, exp.TsOrDsAdd, exp.DateSub]

if t.TYPE_CHECKING:
    from sqlglot._typing import B, E, F

    JSON_EXTRACT_TYPE = t.Union[exp.JSONExtract, exp.JSONExtractScalar]

logger = logging.getLogger("sqlglot")


class Dialects(str, Enum):
    """Dialects supported by SQLGLot."""

    DIALECT = ""

    BIGQUERY = "bigquery"
    CLICKHOUSE = "clickhouse"
    DATABRICKS = "databricks"
    DORIS = "doris"
    DRILL = "drill"
    DUCKDB = "duckdb"
    HIVE = "hive"
    MYSQL = "mysql"
    ORACLE = "oracle"
    POSTGRES = "postgres"
    PRESTO = "presto"
    REDSHIFT = "redshift"
    SNOWFLAKE = "snowflake"
    SPARK = "spark"
    SPARK2 = "spark2"
    SQLITE = "sqlite"
    STARROCKS = "starrocks"
    TABLEAU = "tableau"
    TERADATA = "teradata"
    TRINO = "trino"
    TSQL = "tsql"


class NormalizationStrategy(str, AutoName):
    """Specifies the strategy according to which identifiers should be normalized."""

    LOWERCASE = auto()
    """Unquoted identifiers are lowercased."""

    UPPERCASE = auto()
    """Unquoted identifiers are uppercased."""

    CASE_SENSITIVE = auto()
    """Always case-sensitive, regardless of quotes."""

    CASE_INSENSITIVE = auto()
    """Always case-insensitive, regardless of quotes."""


class _Dialect(type):
    classes: t.Dict[str, t.Type[Dialect]] = {}

    def __eq__(cls, other: t.Any) -> bool:
        if cls is other:
            return True
        if isinstance(other, str):
            return cls is cls.get(other)
        if isinstance(other, Dialect):
            return cls is type(other)

        return False

    def __hash__(cls) -> int:
        return hash(cls.__name__.lower())

    @classmethod
    def __getitem__(cls, key: str) -> t.Type[Dialect]:
        return cls.classes[key]

    @classmethod
    def get(
        cls, key: str, default: t.Optional[t.Type[Dialect]] = None
    ) -> t.Optional[t.Type[Dialect]]:
        return cls.classes.get(key, default)

    def __new__(cls, clsname, bases, attrs):
        klass = super().__new__(cls, clsname, bases, attrs)
        enum = Dialects.__members__.get(clsname.upper())
        cls.classes[enum.value if enum is not None else clsname.lower()] = klass

        klass.TIME_TRIE = new_trie(klass.TIME_MAPPING)
        klass.FORMAT_TRIE = (
            new_trie(klass.FORMAT_MAPPING) if klass.FORMAT_MAPPING else klass.TIME_TRIE
        )
        klass.INVERSE_TIME_MAPPING = {v: k for k, v in klass.TIME_MAPPING.items()}
        klass.INVERSE_TIME_TRIE = new_trie(klass.INVERSE_TIME_MAPPING)

        klass.INVERSE_ESCAPE_SEQUENCES = {v: k for k, v in klass.ESCAPE_SEQUENCES.items()}

        klass.tokenizer_class = getattr(klass, "Tokenizer", Tokenizer)
        klass.parser_class = getattr(klass, "Parser", Parser)
        klass.generator_class = getattr(klass, "Generator", Generator)

        klass.QUOTE_START, klass.QUOTE_END = list(klass.tokenizer_class._QUOTES.items())[0]
        klass.IDENTIFIER_START, klass.IDENTIFIER_END = list(
            klass.tokenizer_class._IDENTIFIERS.items()
        )[0]

        def get_start_end(token_type: TokenType) -> t.Tuple[t.Optional[str], t.Optional[str]]:
            return next(
                (
                    (s, e)
                    for s, (e, t) in klass.tokenizer_class._FORMAT_STRINGS.items()
                    if t == token_type
                ),
                (None, None),
            )

        klass.BIT_START, klass.BIT_END = get_start_end(TokenType.BIT_STRING)
        klass.HEX_START, klass.HEX_END = get_start_end(TokenType.HEX_STRING)
        klass.BYTE_START, klass.BYTE_END = get_start_end(TokenType.BYTE_STRING)
        klass.UNICODE_START, klass.UNICODE_END = get_start_end(TokenType.UNICODE_STRING)

        if enum not in ("", "bigquery"):
            klass.generator_class.SELECT_KINDS = ()

        if not klass.SUPPORTS_SEMI_ANTI_JOIN:
            klass.parser_class.TABLE_ALIAS_TOKENS = klass.parser_class.TABLE_ALIAS_TOKENS | {
                TokenType.ANTI,
                TokenType.SEMI,
            }

        return klass


class Dialect(metaclass=_Dialect):
    INDEX_OFFSET = 0
    """Determines the base index offset for arrays."""

    WEEK_OFFSET = 0
    """Determines the day of week of DATE_TRUNC(week). Defaults to 0 (Monday). -1 would be Sunday."""

    UNNEST_COLUMN_ONLY = False
    """Determines whether or not `UNNEST` table aliases are treated as column aliases."""

    ALIAS_POST_TABLESAMPLE = False
    """Determines whether or not the table alias comes after tablesample."""

    TABLESAMPLE_SIZE_IS_PERCENT = False
    """Determines whether or not a size in the table sample clause represents percentage."""

    NORMALIZATION_STRATEGY = NormalizationStrategy.LOWERCASE
    """Specifies the strategy according to which identifiers should be normalized."""

    IDENTIFIERS_CAN_START_WITH_DIGIT = False
    """Determines whether or not an unquoted identifier can start with a digit."""

    DPIPE_IS_STRING_CONCAT = True
    """Determines whether or not the DPIPE token (`||`) is a string concatenation operator."""

    STRICT_STRING_CONCAT = False
    """Determines whether or not `CONCAT`'s arguments must be strings."""

    SUPPORTS_USER_DEFINED_TYPES = True
    """Determines whether or not user-defined data types are supported."""

    SUPPORTS_SEMI_ANTI_JOIN = True
    """Determines whether or not `SEMI` or `ANTI` joins are supported."""

    NORMALIZE_FUNCTIONS: bool | str = "upper"
    """Determines how function names are going to be normalized."""

    LOG_BASE_FIRST = True
    """Determines whether the base comes first in the `LOG` function."""

    NULL_ORDERING = "nulls_are_small"
    """
    Indicates the default `NULL` ordering method to use if not explicitly set.
    Possible values: `"nulls_are_small"`, `"nulls_are_large"`, `"nulls_are_last"`
    """

    TYPED_DIVISION = False
    """
    Whether the behavior of `a / b` depends on the types of `a` and `b`.
    False means `a / b` is always float division.
    True means `a / b` is integer division if both `a` and `b` are integers.
    """

    SAFE_DIVISION = False
    """Determines whether division by zero throws an error (`False`) or returns NULL (`True`)."""

    CONCAT_COALESCE = False
    """A `NULL` arg in `CONCAT` yields `NULL` by default, but in some dialects it yields an empty string."""

    DATE_FORMAT = "'%Y-%m-%d'"
    DATEINT_FORMAT = "'%Y%m%d'"
    TIME_FORMAT = "'%Y-%m-%d %H:%M:%S'"

    TIME_MAPPING: t.Dict[str, str] = {}
    """Associates this dialect's time formats with their equivalent Python `strftime` format."""

    # https://cloud.google.com/bigquery/docs/reference/standard-sql/format-elements#format_model_rules_date_time
    # https://docs.teradata.com/r/Teradata-Database-SQL-Functions-Operators-Expressions-and-Predicates/March-2017/Data-Type-Conversions/Character-to-DATE-Conversion/Forcing-a-FORMAT-on-CAST-for-Converting-Character-to-DATE
    FORMAT_MAPPING: t.Dict[str, str] = {}
    """
    Helper which is used for parsing the special syntax `CAST(x AS DATE FORMAT 'yyyy')`.
    If empty, the corresponding trie will be constructed off of `TIME_MAPPING`.
    """

    ESCAPE_SEQUENCES: t.Dict[str, str] = {}
    """Mapping of an unescaped escape sequence to the corresponding character."""

    PSEUDOCOLUMNS: t.Set[str] = set()
    """
    Columns that are auto-generated by the engine corresponding to this dialect.
    For example, such columns may be excluded from `SELECT *` queries.
    """

    PREFER_CTE_ALIAS_COLUMN = False
    """
    Some dialects, such as Snowflake, allow you to reference a CTE column alias in the
    HAVING clause of the CTE. This flag will cause the CTE alias columns to override
    any projection aliases in the subquery.

    For example,
        WITH y(c) AS (
            SELECT SUM(a) FROM (SELECT 1 a) AS x HAVING c > 0
        ) SELECT c FROM y;

        will be rewritten as

        WITH y(c) AS (
            SELECT SUM(a) AS c FROM (SELECT 1 AS a) AS x HAVING c > 0
        ) SELECT c FROM y;
    """

    # --- Autofilled ---

    tokenizer_class = Tokenizer
    parser_class = Parser
    generator_class = Generator

    # A trie of the time_mapping keys
    TIME_TRIE: t.Dict = {}
    FORMAT_TRIE: t.Dict = {}

    INVERSE_TIME_MAPPING: t.Dict[str, str] = {}
    INVERSE_TIME_TRIE: t.Dict = {}

    INVERSE_ESCAPE_SEQUENCES: t.Dict[str, str] = {}

    # Delimiters for string literals and identifiers
    QUOTE_START = "'"
    QUOTE_END = "'"
    IDENTIFIER_START = '"'
    IDENTIFIER_END = '"'

    # Delimiters for bit, hex, byte and unicode literals
    BIT_START: t.Optional[str] = None
    BIT_END: t.Optional[str] = None
    HEX_START: t.Optional[str] = None
    HEX_END: t.Optional[str] = None
    BYTE_START: t.Optional[str] = None
    BYTE_END: t.Optional[str] = None
    UNICODE_START: t.Optional[str] = None
    UNICODE_END: t.Optional[str] = None

    @classmethod
    def get_or_raise(cls, dialect: DialectType) -> Dialect:
        """
        Look up a dialect in the global dialect registry and return it if it exists.

        Args:
            dialect: The target dialect. If this is a string, it can be optionally followed by
                additional key-value pairs that are separated by commas and are used to specify
                dialect settings, such as whether the dialect's identifiers are case-sensitive.

        Example:
            >>> dialect = dialect_class = get_or_raise("duckdb")
            >>> dialect = get_or_raise("mysql, normalization_strategy = case_sensitive")

        Returns:
            The corresponding Dialect instance.
        """

        if not dialect:
            return cls()
        if isinstance(dialect, _Dialect):
            return dialect()
        if isinstance(dialect, Dialect):
            return dialect
        if isinstance(dialect, str):
            try:
                dialect_name, *kv_pairs = dialect.split(",")
                kwargs = {k.strip(): v.strip() for k, v in (kv.split("=") for kv in kv_pairs)}
            except ValueError:
                raise ValueError(
                    f"Invalid dialect format: '{dialect}'. "
                    "Please use the correct format: 'dialect [, k1 = v2 [, ...]]'."
                )

            result = cls.get(dialect_name.strip())
            if not result:
                from difflib import get_close_matches

                similar = seq_get(get_close_matches(dialect_name, cls.classes, n=1), 0) or ""
                if similar:
                    similar = f" Did you mean {similar}?"

                raise ValueError(f"Unknown dialect '{dialect_name}'.{similar}")

            return result(**kwargs)

        raise ValueError(f"Invalid dialect type for '{dialect}': '{type(dialect)}'.")

    @classmethod
    def format_time(
        cls, expression: t.Optional[str | exp.Expression]
    ) -> t.Optional[exp.Expression]:
        """Converts a time format in this dialect to its equivalent Python `strftime` format."""
        if isinstance(expression, str):
            return exp.Literal.string(
                # the time formats are quoted
                format_time(expression[1:-1], cls.TIME_MAPPING, cls.TIME_TRIE)
            )

        if expression and expression.is_string:
            return exp.Literal.string(format_time(expression.this, cls.TIME_MAPPING, cls.TIME_TRIE))

        return expression

    def __init__(self, **kwargs) -> None:
        normalization_strategy = kwargs.get("normalization_strategy")

        if normalization_strategy is None:
            self.normalization_strategy = self.NORMALIZATION_STRATEGY
        else:
            self.normalization_strategy = NormalizationStrategy(normalization_strategy.upper())

    def __eq__(self, other: t.Any) -> bool:
        # Does not currently take dialect state into account
        return type(self) == other

    def __hash__(self) -> int:
        # Does not currently take dialect state into account
        return hash(type(self))

    def normalize_identifier(self, expression: E) -> E:
        """
        Transforms an identifier in a way that resembles how it'd be resolved by this dialect.

        For example, an identifier like `FoO` would be resolved as `foo` in Postgres, because it
        lowercases all unquoted identifiers. On the other hand, Snowflake uppercases them, so
        it would resolve it as `FOO`. If it was quoted, it'd need to be treated as case-sensitive,
        and so any normalization would be prohibited in order to avoid "breaking" the identifier.

        There are also dialects like Spark, which are case-insensitive even when quotes are
        present, and dialects like MySQL, whose resolution rules match those employed by the
        underlying operating system, for example they may always be case-sensitive in Linux.

        Finally, the normalization behavior of some engines can even be controlled through flags,
        like in Redshift's case, where users can explicitly set enable_case_sensitive_identifier.

        SQLGlot aims to understand and handle all of these different behaviors gracefully, so
        that it can analyze queries in the optimizer and successfully capture their semantics.
        """
        if (
            isinstance(expression, exp.Identifier)
            and self.normalization_strategy is not NormalizationStrategy.CASE_SENSITIVE
            and (
                not expression.quoted
                or self.normalization_strategy is NormalizationStrategy.CASE_INSENSITIVE
            )
        ):
            expression.set(
                "this",
                (
                    expression.this.upper()
                    if self.normalization_strategy is NormalizationStrategy.UPPERCASE
                    else expression.this.lower()
                ),
            )

        return expression

    def case_sensitive(self, text: str) -> bool:
        """Checks if text contains any case sensitive characters, based on the dialect's rules."""
        if self.normalization_strategy is NormalizationStrategy.CASE_INSENSITIVE:
            return False

        unsafe = (
            str.islower
            if self.normalization_strategy is NormalizationStrategy.UPPERCASE
            else str.isupper
        )
        return any(unsafe(char) for char in text)

    def can_identify(self, text: str, identify: str | bool = "safe") -> bool:
        """Checks if text can be identified given an identify option.

        Args:
            text: The text to check.
            identify:
                `"always"` or `True`: Always returns `True`.
                `"safe"`: Only returns `True` if the identifier is case-insensitive.

        Returns:
            Whether or not the given text can be identified.
        """
        if identify is True or identify == "always":
            return True

        if identify == "safe":
            return not self.case_sensitive(text)

        return False

    def quote_identifier(self, expression: E, identify: bool = True) -> E:
        """
        Adds quotes to a given identifier.

        Args:
            expression: The expression of interest. If it's not an `Identifier`, this method is a no-op.
            identify: If set to `False`, the quotes will only be added if the identifier is deemed
                "unsafe", with respect to its characters and this dialect's normalization strategy.
        """
        if isinstance(expression, exp.Identifier):
            name = expression.this
            expression.set(
                "quoted",
                identify or self.case_sensitive(name) or not exp.SAFE_IDENTIFIER_RE.match(name),
            )

        return expression

    def to_json_path(self, path: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
        if isinstance(path, exp.Literal):
            path_text = path.name
            if path.is_number:
                path_text = f"[{path_text}]"

            try:
                return parse_json_path(path_text)
            except ParseError as e:
                logger.warning(f"Invalid JSON path syntax. {str(e)}")

        return path

    def parse(self, sql: str, **opts) -> t.List[t.Optional[exp.Expression]]:
        return self.parser(**opts).parse(self.tokenize(sql), sql)

    def parse_into(
        self, expression_type: exp.IntoType, sql: str, **opts
    ) -> t.List[t.Optional[exp.Expression]]:
        return self.parser(**opts).parse_into(expression_type, self.tokenize(sql), sql)

    def generate(self, expression: exp.Expression, copy: bool = True, **opts) -> str:
        return self.generator(**opts).generate(expression, copy=copy)

    def transpile(self, sql: str, **opts) -> t.List[str]:
        return [
            self.generate(expression, copy=False, **opts) if expression else ""
            for expression in self.parse(sql)
        ]

    def tokenize(self, sql: str) -> t.List[Token]:
        return self.tokenizer.tokenize(sql)

    @property
    def tokenizer(self) -> Tokenizer:
        if not hasattr(self, "_tokenizer"):
            self._tokenizer = self.tokenizer_class(dialect=self)
        return self._tokenizer

    def parser(self, **opts) -> Parser:
        return self.parser_class(dialect=self, **opts)

    def generator(self, **opts) -> Generator:
        return self.generator_class(dialect=self, **opts)


DialectType = t.Union[str, Dialect, t.Type[Dialect], None]


def rename_func(name: str) -> t.Callable[[Generator, exp.Expression], str]:
    return lambda self, expression: self.func(name, *flatten(expression.args.values()))


def approx_count_distinct_sql(self: Generator, expression: exp.ApproxDistinct) -> str:
    if expression.args.get("accuracy"):
        self.unsupported("APPROX_COUNT_DISTINCT does not support accuracy")
    return self.func("APPROX_COUNT_DISTINCT", expression.this)


def if_sql(
    name: str = "IF", false_value: t.Optional[exp.Expression | str] = None
) -> t.Callable[[Generator, exp.If], str]:
    def _if_sql(self: Generator, expression: exp.If) -> str:
        return self.func(
            name,
            expression.this,
            expression.args.get("true"),
            expression.args.get("false") or false_value,
        )

    return _if_sql


def arrow_json_extract_sql(self: Generator, expression: JSON_EXTRACT_TYPE) -> str:
    this = expression.this
    if self.JSON_TYPE_REQUIRED_FOR_EXTRACTION and isinstance(this, exp.Literal) and this.is_string:
        this.replace(exp.cast(this, "json"))

    return self.binary(expression, "->" if isinstance(expression, exp.JSONExtract) else "->>")


def inline_array_sql(self: Generator, expression: exp.Array) -> str:
    return f"[{self.expressions(expression, flat=True)}]"


def no_ilike_sql(self: Generator, expression: exp.ILike) -> str:
    return self.like_sql(
        exp.Like(this=exp.Lower(this=expression.this), expression=expression.expression)
    )


def no_paren_current_date_sql(self: Generator, expression: exp.CurrentDate) -> str:
    zone = self.sql(expression, "this")
    return f"CURRENT_DATE AT TIME ZONE {zone}" if zone else "CURRENT_DATE"


def no_recursive_cte_sql(self: Generator, expression: exp.With) -> str:
    if expression.args.get("recursive"):
        self.unsupported("Recursive CTEs are unsupported")
        expression.args["recursive"] = False
    return self.with_sql(expression)


def no_safe_divide_sql(self: Generator, expression: exp.SafeDivide) -> str:
    n = self.sql(expression, "this")
    d = self.sql(expression, "expression")
    return f"IF(({d}) <> 0, ({n}) / ({d}), NULL)"


def no_tablesample_sql(self: Generator, expression: exp.TableSample) -> str:
    self.unsupported("TABLESAMPLE unsupported")
    return self.sql(expression.this)


def no_pivot_sql(self: Generator, expression: exp.Pivot) -> str:
    self.unsupported("PIVOT unsupported")
    return ""


def no_trycast_sql(self: Generator, expression: exp.TryCast) -> str:
    return self.cast_sql(expression)


def no_comment_column_constraint_sql(
    self: Generator, expression: exp.CommentColumnConstraint
) -> str:
    self.unsupported("CommentColumnConstraint unsupported")
    return ""


def no_map_from_entries_sql(self: Generator, expression: exp.MapFromEntries) -> str:
    self.unsupported("MAP_FROM_ENTRIES unsupported")
    return ""


def str_position_sql(self: Generator, expression: exp.StrPosition) -> str:
    this = self.sql(expression, "this")
    substr = self.sql(expression, "substr")
    position = self.sql(expression, "position")
    if position:
        return f"STRPOS(SUBSTR({this}, {position}), {substr}) + {position} - 1"
    return f"STRPOS({this}, {substr})"


def struct_extract_sql(self: Generator, expression: exp.StructExtract) -> str:
    return (
        f"{self.sql(expression, 'this')}.{self.sql(exp.to_identifier(expression.expression.name))}"
    )


def var_map_sql(
    self: Generator, expression: exp.Map | exp.VarMap, map_func_name: str = "MAP"
) -> str:
    keys = expression.args["keys"]
    values = expression.args["values"]

    if not isinstance(keys, exp.Array) or not isinstance(values, exp.Array):
        self.unsupported("Cannot convert array columns into map.")
        return self.func(map_func_name, keys, values)

    args = []
    for key, value in zip(keys.expressions, values.expressions):
        args.append(self.sql(key))
        args.append(self.sql(value))

    return self.func(map_func_name, *args)


def format_time_lambda(
    exp_class: t.Type[E], dialect: str, default: t.Optional[bool | str] = None
) -> t.Callable[[t.List], E]:
    """Helper used for time expressions.

    Args:
        exp_class: the expression class to instantiate.
        dialect: target sql dialect.
        default: the default format, True being time.

    Returns:
        A callable that can be used to return the appropriately formatted time expression.
    """

    def _format_time(args: t.List):
        return exp_class(
            this=seq_get(args, 0),
            format=Dialect[dialect].format_time(
                seq_get(args, 1)
                or (Dialect[dialect].TIME_FORMAT if default is True else default or None)
            ),
        )

    return _format_time


def time_format(
    dialect: DialectType = None,
) -> t.Callable[[Generator, exp.UnixToStr | exp.StrToUnix], t.Optional[str]]:
    def _time_format(self: Generator, expression: exp.UnixToStr | exp.StrToUnix) -> t.Optional[str]:
        """
        Returns the time format for a given expression, unless it's equivalent
        to the default time format of the dialect of interest.
        """
        time_format = self.format_time(expression)
        return time_format if time_format != Dialect.get_or_raise(dialect).TIME_FORMAT else None

    return _time_format


def parse_date_delta(
    exp_class: t.Type[E], unit_mapping: t.Optional[t.Dict[str, str]] = None
) -> t.Callable[[t.List], E]:
    def inner_func(args: t.List) -> E:
        unit_based = len(args) == 3
        this = args[2] if unit_based else seq_get(args, 0)
        unit = args[0] if unit_based else exp.Literal.string("DAY")
        unit = exp.var(unit_mapping.get(unit.name.lower(), unit.name)) if unit_mapping else unit
        return exp_class(this=this, expression=seq_get(args, 1), unit=unit)

    return inner_func


def parse_date_delta_with_interval(
    expression_class: t.Type[E],
) -> t.Callable[[t.List], t.Optional[E]]:
    def func(args: t.List) -> t.Optional[E]:
        if len(args) < 2:
            return None

        interval = args[1]

        if not isinstance(interval, exp.Interval):
            raise ParseError(f"INTERVAL expression expected but got '{interval}'")

        expression = interval.this
        if expression and expression.is_string:
            expression = exp.Literal.number(expression.this)

        return expression_class(
            this=args[0], expression=expression, unit=exp.Literal.string(interval.text("unit"))
        )

    return func


def date_trunc_to_time(args: t.List) -> exp.DateTrunc | exp.TimestampTrunc:
    unit = seq_get(args, 0)
    this = seq_get(args, 1)

    if isinstance(this, exp.Cast) and this.is_type("date"):
        return exp.DateTrunc(unit=unit, this=this)
    return exp.TimestampTrunc(this=this, unit=unit)


def date_add_interval_sql(
    data_type: str, kind: str
) -> t.Callable[[Generator, exp.Expression], str]:
    def func(self: Generator, expression: exp.Expression) -> str:
        this = self.sql(expression, "this")
        unit = expression.args.get("unit")
        unit = exp.var(unit.name.upper() if unit else "DAY")
        interval = exp.Interval(this=expression.expression, unit=unit)
        return f"{data_type}_{kind}({this}, {self.sql(interval)})"

    return func


def timestamptrunc_sql(self: Generator, expression: exp.TimestampTrunc) -> str:
    return self.func(
        "DATE_TRUNC", exp.Literal.string(expression.text("unit").upper() or "DAY"), expression.this
    )


def no_timestamp_sql(self: Generator, expression: exp.Timestamp) -> str:
    if not expression.expression:
        from sqlglot.optimizer.annotate_types import annotate_types

        target_type = annotate_types(expression).type or exp.DataType.Type.TIMESTAMP
        return self.sql(exp.cast(expression.this, to=target_type))
    if expression.text("expression").lower() in TIMEZONES:
        return self.sql(
            exp.AtTimeZone(
                this=exp.cast(expression.this, to=exp.DataType.Type.TIMESTAMP),
                zone=expression.expression,
            )
        )
    return self.func("TIMESTAMP", expression.this, expression.expression)


def locate_to_strposition(args: t.List) -> exp.Expression:
    return exp.StrPosition(
        this=seq_get(args, 1), substr=seq_get(args, 0), position=seq_get(args, 2)
    )


def strposition_to_locate_sql(self: Generator, expression: exp.StrPosition) -> str:
    return self.func(
        "LOCATE", expression.args.get("substr"), expression.this, expression.args.get("position")
    )


def left_to_substring_sql(self: Generator, expression: exp.Left) -> str:
    return self.sql(
        exp.Substring(
            this=expression.this, start=exp.Literal.number(1), length=expression.expression
        )
    )


def right_to_substring_sql(self: Generator, expression: exp.Left) -> str:
    return self.sql(
        exp.Substring(
            this=expression.this,
            start=exp.Length(this=expression.this) - exp.paren(expression.expression - 1),
        )
    )


def timestrtotime_sql(self: Generator, expression: exp.TimeStrToTime) -> str:
    return self.sql(exp.cast(expression.this, "timestamp"))


def datestrtodate_sql(self: Generator, expression: exp.DateStrToDate) -> str:
    return self.sql(exp.cast(expression.this, "date"))


# Used for Presto and Duckdb which use functions that don't support charset, and assume utf-8
def encode_decode_sql(
    self: Generator, expression: exp.Expression, name: str, replace: bool = True
) -> str:
    charset = expression.args.get("charset")
    if charset and charset.name.lower() != "utf-8":
        self.unsupported(f"Expected utf-8 character set, got {charset}.")

    return self.func(name, expression.this, expression.args.get("replace") if replace else None)


def min_or_least(self: Generator, expression: exp.Min) -> str:
    name = "LEAST" if expression.expressions else "MIN"
    return rename_func(name)(self, expression)


def max_or_greatest(self: Generator, expression: exp.Max) -> str:
    name = "GREATEST" if expression.expressions else "MAX"
    return rename_func(name)(self, expression)


def count_if_to_sum(self: Generator, expression: exp.CountIf) -> str:
    cond = expression.this

    if isinstance(expression.this, exp.Distinct):
        cond = expression.this.expressions[0]
        self.unsupported("DISTINCT is not supported when converting COUNT_IF to SUM")

    return self.func("sum", exp.func("if", cond, 1, 0))


def trim_sql(self: Generator, expression: exp.Trim) -> str:
    target = self.sql(expression, "this")
    trim_type = self.sql(expression, "position")
    remove_chars = self.sql(expression, "expression")
    collation = self.sql(expression, "collation")

    # Use TRIM/LTRIM/RTRIM syntax if the expression isn't database-specific
    if not remove_chars and not collation:
        return self.trim_sql(expression)

    trim_type = f"{trim_type} " if trim_type else ""
    remove_chars = f"{remove_chars} " if remove_chars else ""
    from_part = "FROM " if trim_type or remove_chars else ""
    collation = f" COLLATE {collation}" if collation else ""
    return f"TRIM({trim_type}{remove_chars}{from_part}{target}{collation})"


def str_to_time_sql(self: Generator, expression: exp.Expression) -> str:
    return self.func("STRPTIME", expression.this, self.format_time(expression))


def concat_to_dpipe_sql(self: Generator, expression: exp.Concat) -> str:
    return self.sql(reduce(lambda x, y: exp.DPipe(this=x, expression=y), expression.expressions))


def concat_ws_to_dpipe_sql(self: Generator, expression: exp.ConcatWs) -> str:
    delim, *rest_args = expression.expressions
    return self.sql(
        reduce(
            lambda x, y: exp.DPipe(this=x, expression=exp.DPipe(this=delim, expression=y)),
            rest_args,
        )
    )


def regexp_extract_sql(self: Generator, expression: exp.RegexpExtract) -> str:
    bad_args = list(filter(expression.args.get, ("position", "occurrence", "parameters")))
    if bad_args:
        self.unsupported(f"REGEXP_EXTRACT does not support the following arg(s): {bad_args}")

    return self.func(
        "REGEXP_EXTRACT", expression.this, expression.expression, expression.args.get("group")
    )


def regexp_replace_sql(self: Generator, expression: exp.RegexpReplace) -> str:
    bad_args = list(
        filter(expression.args.get, ("position", "occurrence", "parameters", "modifiers"))
    )
    if bad_args:
        self.unsupported(f"REGEXP_REPLACE does not support the following arg(s): {bad_args}")

    return self.func(
        "REGEXP_REPLACE", expression.this, expression.expression, expression.args["replacement"]
    )


def pivot_column_names(aggregations: t.List[exp.Expression], dialect: DialectType) -> t.List[str]:
    names = []
    for agg in aggregations:
        if isinstance(agg, exp.Alias):
            names.append(agg.alias)
        else:
            """
            This case corresponds to aggregations without aliases being used as suffixes
            (e.g. col_avg(foo)). We need to unquote identifiers because they're going to
            be quoted in the base parser's `_parse_pivot` method, due to `to_identifier`.
            Otherwise, we'd end up with `col_avg(`foo`)` (notice the double quotes).
            """
            agg_all_unquoted = agg.transform(
                lambda node: (
                    exp.Identifier(this=node.name, quoted=False)
                    if isinstance(node, exp.Identifier)
                    else node
                )
            )
            names.append(agg_all_unquoted.sql(dialect=dialect, normalize_functions="lower"))

    return names


def binary_from_function(expr_type: t.Type[B]) -> t.Callable[[t.List], B]:
    return lambda args: expr_type(this=seq_get(args, 0), expression=seq_get(args, 1))


# Used to represent DATE_TRUNC in Doris, Postgres and Starrocks dialects
def parse_timestamp_trunc(args: t.List) -> exp.TimestampTrunc:
    return exp.TimestampTrunc(this=seq_get(args, 1), unit=seq_get(args, 0))


def any_value_to_max_sql(self: Generator, expression: exp.AnyValue) -> str:
    return self.func("MAX", expression.this)


def bool_xor_sql(self: Generator, expression: exp.Xor) -> str:
    a = self.sql(expression.left)
    b = self.sql(expression.right)
    return f"({a} AND (NOT {b})) OR ((NOT {a}) AND {b})"


def is_parse_json(expression: exp.Expression) -> bool:
    return isinstance(expression, exp.ParseJSON) or (
        isinstance(expression, exp.Cast) and expression.is_type("json")
    )


def isnull_to_is_null(args: t.List) -> exp.Expression:
    return exp.Paren(this=exp.Is(this=seq_get(args, 0), expression=exp.null()))


def generatedasidentitycolumnconstraint_sql(
    self: Generator, expression: exp.GeneratedAsIdentityColumnConstraint
) -> str:
    start = self.sql(expression, "start") or "1"
    increment = self.sql(expression, "increment") or "1"
    return f"IDENTITY({start}, {increment})"


def arg_max_or_min_no_count(name: str) -> t.Callable[[Generator, exp.ArgMax | exp.ArgMin], str]:
    def _arg_max_or_min_sql(self: Generator, expression: exp.ArgMax | exp.ArgMin) -> str:
        if expression.args.get("count"):
            self.unsupported(f"Only two arguments are supported in function {name}.")

        return self.func(name, expression.this, expression.expression)

    return _arg_max_or_min_sql


def ts_or_ds_add_cast(expression: exp.TsOrDsAdd) -> exp.TsOrDsAdd:
    this = expression.this.copy()

    return_type = expression.return_type
    if return_type.is_type(exp.DataType.Type.DATE):
        # If we need to cast to a DATE, we cast to TIMESTAMP first to make sure we
        # can truncate timestamp strings, because some dialects can't cast them to DATE
        this = exp.cast(this, exp.DataType.Type.TIMESTAMP)

    expression.this.replace(exp.cast(this, return_type))
    return expression


def date_delta_sql(name: str, cast: bool = False) -> t.Callable[[Generator, DATE_ADD_OR_DIFF], str]:
    def _delta_sql(self: Generator, expression: DATE_ADD_OR_DIFF) -> str:
        if cast and isinstance(expression, exp.TsOrDsAdd):
            expression = ts_or_ds_add_cast(expression)

        return self.func(
            name,
            exp.var(expression.text("unit").upper() or "DAY"),
            expression.expression,
            expression.this,
        )

    return _delta_sql


def no_last_day_sql(self: Generator, expression: exp.LastDay) -> str:
    trunc_curr_date = exp.func("date_trunc", "month", expression.this)
    plus_one_month = exp.func("date_add", trunc_curr_date, 1, "month")
    minus_one_day = exp.func("date_sub", plus_one_month, 1, "day")

    return self.sql(exp.cast(minus_one_day, "date"))


def merge_without_target_sql(self: Generator, expression: exp.Merge) -> str:
    """Remove table refs from columns in when statements."""
    alias = expression.this.args.get("alias")

    def normalize(identifier: t.Optional[exp.Identifier]) -> t.Optional[str]:
        return self.dialect.normalize_identifier(identifier).name if identifier else None

    targets = {normalize(expression.this.this)}

    if alias:
        targets.add(normalize(alias.this))

    for when in expression.expressions:
        when.transform(
            lambda node: (
                exp.column(node.this)
                if isinstance(node, exp.Column) and normalize(node.args.get("table")) in targets
                else node
            ),
            copy=False,
        )

    return self.merge_sql(expression)


def parse_json_extract_path(
    expr_type: t.Type[F], zero_based_indexing: bool = True
) -> t.Callable[[t.List], F]:
    def _parse_json_extract_path(args: t.List) -> F:
        segments: t.List[exp.JSONPathPart] = [exp.JSONPathRoot()]
        for arg in args[1:]:
            if not isinstance(arg, exp.Literal):
                # We use the fallback parser because we can't really transpile non-literals safely
                return expr_type.from_arg_list(args)

            text = arg.name
            if is_int(text):
                index = int(text)
                segments.append(
                    exp.JSONPathSubscript(this=index if zero_based_indexing else index - 1)
                )
            else:
                segments.append(exp.JSONPathKey(this=text))

        # This is done to avoid failing in the expression validator due to the arg count
        del args[2:]
        return expr_type(this=seq_get(args, 0), expression=exp.JSONPath(expressions=segments))

    return _parse_json_extract_path


def json_extract_segments(
    name: str, quoted_index: bool = True
) -> t.Callable[[Generator, JSON_EXTRACT_TYPE], str]:
    def _json_extract_segments(self: Generator, expression: JSON_EXTRACT_TYPE) -> str:
        path = expression.expression
        if not isinstance(path, exp.JSONPath):
            return rename_func(name)(self, expression)

        segments = []
        for segment in path.expressions:
            path = self.sql(segment)
            if path:
                if isinstance(segment, exp.JSONPathPart) and (
                    quoted_index or not isinstance(segment, exp.JSONPathSubscript)
                ):
                    path = f"{self.dialect.QUOTE_START}{path}{self.dialect.QUOTE_END}"

                segments.append(path)

        return self.func(name, expression.this, *segments)

    return _json_extract_segments


def json_path_key_only_name(self: Generator, expression: exp.JSONPathKey) -> str:
    if isinstance(expression.this, exp.JSONPathWildcard):
        self.unsupported("Unsupported wildcard in JSONPathKey expression")

    return expression.name