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from collections.abc import Iterable, Mapping, Sequence
from typing import (
Any,
Literal,
Optional,
TypeVar,
)
from typing import cast as typing_cast
import sqlalchemy
from sqlalchemy import (
Column,
ColumnElement,
Extract,
FunctionElement,
FunctionFilter,
Label,
Over,
TypeCoerce,
WithinGroup,
)
from sqlalchemy.orm import InstrumentedAttribute, Mapped
from sqlalchemy.sql._typing import (
_ColumnExpressionArgument,
_ColumnExpressionOrLiteralArgument,
_ColumnExpressionOrStrLabelArgument,
)
from sqlalchemy.sql.elements import (
BinaryExpression,
Case,
Cast,
CollectionAggregate,
ColumnClause,
TryCast,
UnaryExpression,
)
from sqlalchemy.sql.type_api import TypeEngine
from ._expression_select_cls import Select as Select
from ._expression_select_cls import SelectOfScalar as SelectOfScalar
from ._expression_select_gen import select as select
_T = TypeVar("_T")
_TypeEngineArgument = type[TypeEngine[_T]] | TypeEngine[_T]
# Redefine operators that would only take a column expression to also take the (virtual)
# types of Pydantic models, e.g. str instead of only Mapped[str].
def all_(expr: _ColumnExpressionArgument[_T] | _T) -> CollectionAggregate[bool]:
return sqlalchemy.all_(expr) # ty: ignore[invalid-argument-type]
def and_(
initial_clause: Literal[True] | _ColumnExpressionArgument[bool] | bool,
*clauses: _ColumnExpressionArgument[bool] | bool,
) -> ColumnElement[bool]:
return sqlalchemy.and_(initial_clause, *clauses) # ty: ignore[invalid-argument-type]
def any_(expr: _ColumnExpressionArgument[_T] | _T) -> CollectionAggregate[bool]:
return sqlalchemy.any_(expr) # ty: ignore[invalid-argument-type]
def asc(
column: _ColumnExpressionOrStrLabelArgument[_T] | _T,
) -> UnaryExpression[_T]:
return sqlalchemy.asc(typing_cast(ColumnElement[_T], column))
def collate(
expression: _ColumnExpressionArgument[str] | str, collation: str
) -> BinaryExpression[str]:
return sqlalchemy.collate(expression, collation) # ty: ignore[invalid-argument-type]
def between(
expr: _ColumnExpressionOrLiteralArgument[_T] | _T,
lower_bound: Any,
upper_bound: Any,
symmetric: bool = False,
) -> BinaryExpression[bool]:
return sqlalchemy.between(expr, lower_bound, upper_bound, symmetric=symmetric)
def not_(clause: _ColumnExpressionArgument[_T] | _T) -> ColumnElement[_T]:
return sqlalchemy.not_(clause) # ty: ignore[no-matching-overload]
def case(
*whens: tuple[_ColumnExpressionArgument[bool] | bool, Any] | Mapping[Any, Any],
value: Any | None = None,
else_: Any | None = None,
) -> Case[Any]:
return sqlalchemy.case(*whens, value=value, else_=else_) # ty: ignore[invalid-argument-type]
def cast(
expression: _ColumnExpressionOrLiteralArgument[Any] | Any,
type_: "_TypeEngineArgument[_T]",
) -> Cast[_T]:
return sqlalchemy.cast(expression, type_)
def try_cast(
expression: _ColumnExpressionOrLiteralArgument[Any] | Any,
type_: "_TypeEngineArgument[_T]",
) -> TryCast[_T]:
return sqlalchemy.try_cast(expression, type_)
def desc(
column: _ColumnExpressionOrStrLabelArgument[_T] | _T,
) -> UnaryExpression[_T]:
return sqlalchemy.desc(typing_cast(ColumnElement[_T], column))
def distinct(expr: _ColumnExpressionArgument[_T] | _T) -> UnaryExpression[_T]:
return sqlalchemy.distinct(expr) # ty: ignore[invalid-argument-type]
def bitwise_not(expr: _ColumnExpressionArgument[_T] | _T) -> UnaryExpression[_T]:
return sqlalchemy.bitwise_not(expr) # ty: ignore[invalid-argument-type]
def extract(field: str, expr: _ColumnExpressionArgument[Any] | Any) -> Extract:
return sqlalchemy.extract(field, expr)
def funcfilter(
func: FunctionElement[_T], *criterion: _ColumnExpressionArgument[bool] | bool
) -> FunctionFilter[_T]:
return sqlalchemy.funcfilter(func, *criterion) # ty: ignore[invalid-argument-type]
def label(
name: str,
element: _ColumnExpressionArgument[_T] | _T,
type_: Optional["_TypeEngineArgument[_T]"] = None,
) -> Label[_T]:
return sqlalchemy.label(name, element, type_=type_) # ty: ignore[invalid-argument-type]
def nulls_first(
column: _ColumnExpressionArgument[_T] | _T,
) -> UnaryExpression[_T]:
return sqlalchemy.nulls_first(typing_cast(ColumnElement[_T], column))
def nulls_last(column: _ColumnExpressionArgument[_T] | _T) -> UnaryExpression[_T]:
return sqlalchemy.nulls_last(typing_cast(ColumnElement[_T], column))
def or_(
initial_clause: Literal[False] | _ColumnExpressionArgument[bool] | bool,
*clauses: _ColumnExpressionArgument[bool] | bool,
) -> ColumnElement[bool]:
return sqlalchemy.or_(initial_clause, *clauses) # ty: ignore[invalid-argument-type]
def over(
element: FunctionElement[_T],
partition_by: Iterable[_ColumnExpressionArgument[Any] | Any]
| _ColumnExpressionArgument[Any]
| Any
| None = None,
order_by: Iterable[_ColumnExpressionArgument[Any] | Any]
| _ColumnExpressionArgument[Any]
| Any
| None = None,
range_: tuple[int | None, int | None] | None = None,
rows: tuple[int | None, int | None] | None = None,
) -> Over[_T]:
return sqlalchemy.over(
element, partition_by=partition_by, order_by=order_by, range_=range_, rows=rows
)
def tuple_(
*clauses: _ColumnExpressionArgument[Any] | Any,
types: Sequence["_TypeEngineArgument[Any]"] | None = None,
) -> sqlalchemy.Tuple:
return sqlalchemy.tuple_(*clauses, types=types)
def type_coerce(
expression: _ColumnExpressionOrLiteralArgument[Any] | Any,
type_: "_TypeEngineArgument[_T]",
) -> TypeCoerce[_T]:
return sqlalchemy.type_coerce(expression, type_)
def within_group(
element: FunctionElement[_T], *order_by: _ColumnExpressionArgument[Any] | Any
) -> WithinGroup[_T]:
return sqlalchemy.within_group(element, *order_by)
def col(column_expression: _T) -> Mapped[_T]:
if not isinstance(column_expression, (ColumnClause, Column, InstrumentedAttribute)):
raise RuntimeError(f"Not a SQLAlchemy column: {column_expression}")
return column_expression # type: ignore
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