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16,064 | sqlalchemy.sql.elements | _with_binary_element_type | in the context of binary expression, convert the type of this
object to the one given.
applies only to :class:`_expression.ColumnElement` classes.
| def _with_binary_element_type(self, type_):
"""in the context of binary expression, convert the type of this
object to the one given.
applies only to :class:`_expression.ColumnElement` classes.
"""
return self
| (self, type_) | [
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16,065 | sqlalchemy.sql.functions | alias | Produce a :class:`_expression.Alias` construct against this
:class:`.FunctionElement`.
.. tip::
The :meth:`_functions.FunctionElement.alias` method is part of the
mechanism by which "table valued" SQL functions are created.
However, most use cases are covered by higher level methods on
:class:`_functions.FunctionElement` including
:meth:`_functions.FunctionElement.table_valued`, and
:meth:`_functions.FunctionElement.column_valued`.
This construct wraps the function in a named alias which
is suitable for the FROM clause, in the style accepted for example
by PostgreSQL. A column expression is also provided using the
special ``.column`` attribute, which may
be used to refer to the output of the function as a scalar value
in the columns or where clause, for a backend such as PostgreSQL.
For a full table-valued expression, use the
:meth:`_functions.FunctionElement.table_valued` method first to
establish named columns.
e.g.:
.. sourcecode:: pycon+sql
>>> from sqlalchemy import func, select, column
>>> data_view = func.unnest([1, 2, 3]).alias("data_view")
>>> print(select(data_view.column))
{printsql}SELECT data_view
FROM unnest(:unnest_1) AS data_view
The :meth:`_functions.FunctionElement.column_valued` method provides
a shortcut for the above pattern:
.. sourcecode:: pycon+sql
>>> data_view = func.unnest([1, 2, 3]).column_valued("data_view")
>>> print(select(data_view))
{printsql}SELECT data_view
FROM unnest(:unnest_1) AS data_view
.. versionadded:: 1.4.0b2 Added the ``.column`` accessor
:param name: alias name, will be rendered as ``AS <name>`` in the
FROM clause
:param joins_implicitly: when True, the table valued function may be
used in the FROM clause without any explicit JOIN to other tables
in the SQL query, and no "cartesian product" warning will be
generated. May be useful for SQL functions such as
``func.json_each()``.
.. versionadded:: 1.4.33
.. seealso::
:ref:`tutorial_functions_table_valued` -
in the :ref:`unified_tutorial`
:meth:`_functions.FunctionElement.table_valued`
:meth:`_functions.FunctionElement.scalar_table_valued`
:meth:`_functions.FunctionElement.column_valued`
| def alias(
self, name: Optional[str] = None, joins_implicitly: bool = False
) -> TableValuedAlias:
r"""Produce a :class:`_expression.Alias` construct against this
:class:`.FunctionElement`.
.. tip::
The :meth:`_functions.FunctionElement.alias` method is part of the
mechanism by which "table valued" SQL functions are created.
However, most use cases are covered by higher level methods on
:class:`_functions.FunctionElement` including
:meth:`_functions.FunctionElement.table_valued`, and
:meth:`_functions.FunctionElement.column_valued`.
This construct wraps the function in a named alias which
is suitable for the FROM clause, in the style accepted for example
by PostgreSQL. A column expression is also provided using the
special ``.column`` attribute, which may
be used to refer to the output of the function as a scalar value
in the columns or where clause, for a backend such as PostgreSQL.
For a full table-valued expression, use the
:meth:`_functions.FunctionElement.table_valued` method first to
establish named columns.
e.g.:
.. sourcecode:: pycon+sql
>>> from sqlalchemy import func, select, column
>>> data_view = func.unnest([1, 2, 3]).alias("data_view")
>>> print(select(data_view.column))
{printsql}SELECT data_view
FROM unnest(:unnest_1) AS data_view
The :meth:`_functions.FunctionElement.column_valued` method provides
a shortcut for the above pattern:
.. sourcecode:: pycon+sql
>>> data_view = func.unnest([1, 2, 3]).column_valued("data_view")
>>> print(select(data_view))
{printsql}SELECT data_view
FROM unnest(:unnest_1) AS data_view
.. versionadded:: 1.4.0b2 Added the ``.column`` accessor
:param name: alias name, will be rendered as ``AS <name>`` in the
FROM clause
:param joins_implicitly: when True, the table valued function may be
used in the FROM clause without any explicit JOIN to other tables
in the SQL query, and no "cartesian product" warning will be
generated. May be useful for SQL functions such as
``func.json_each()``.
.. versionadded:: 1.4.33
.. seealso::
:ref:`tutorial_functions_table_valued` -
in the :ref:`unified_tutorial`
:meth:`_functions.FunctionElement.table_valued`
:meth:`_functions.FunctionElement.scalar_table_valued`
:meth:`_functions.FunctionElement.column_valued`
"""
return TableValuedAlias._construct(
self,
name=name,
table_value_type=self.type,
joins_implicitly=joins_implicitly,
)
| (self, name: Optional[str] = None, joins_implicitly: bool = False) -> sqlalchemy.sql.selectable.TableValuedAlias | [
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16,066 | sqlalchemy.sql.operators | all_ | Produce an :func:`_expression.all_` clause against the
parent object.
See the documentation for :func:`_sql.all_` for examples.
.. note:: be sure to not confuse the newer
:meth:`_sql.ColumnOperators.all_` method with the **legacy**
version of this method, the :meth:`_types.ARRAY.Comparator.all`
method that's specific to :class:`_types.ARRAY`, which uses a
different calling style.
| def all_(self) -> ColumnOperators:
"""Produce an :func:`_expression.all_` clause against the
parent object.
See the documentation for :func:`_sql.all_` for examples.
.. note:: be sure to not confuse the newer
:meth:`_sql.ColumnOperators.all_` method with the **legacy**
version of this method, the :meth:`_types.ARRAY.Comparator.all`
method that's specific to :class:`_types.ARRAY`, which uses a
different calling style.
"""
return self.operate(all_op)
| (self) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,067 | sqlalchemy.sql.operators | any_ | Produce an :func:`_expression.any_` clause against the
parent object.
See the documentation for :func:`_sql.any_` for examples.
.. note:: be sure to not confuse the newer
:meth:`_sql.ColumnOperators.any_` method with the **legacy**
version of this method, the :meth:`_types.ARRAY.Comparator.any`
method that's specific to :class:`_types.ARRAY`, which uses a
different calling style.
| def any_(self) -> ColumnOperators:
"""Produce an :func:`_expression.any_` clause against the
parent object.
See the documentation for :func:`_sql.any_` for examples.
.. note:: be sure to not confuse the newer
:meth:`_sql.ColumnOperators.any_` method with the **legacy**
version of this method, the :meth:`_types.ARRAY.Comparator.any`
method that's specific to :class:`_types.ARRAY`, which uses a
different calling style.
"""
return self.operate(any_op)
| (self) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,068 | sqlalchemy.sql.functions | as_comparison | Interpret this expression as a boolean comparison between two
values.
This method is used for an ORM use case described at
:ref:`relationship_custom_operator_sql_function`.
A hypothetical SQL function "is_equal()" which compares to values
for equality would be written in the Core expression language as::
expr = func.is_equal("a", "b")
If "is_equal()" above is comparing "a" and "b" for equality, the
:meth:`.FunctionElement.as_comparison` method would be invoked as::
expr = func.is_equal("a", "b").as_comparison(1, 2)
Where above, the integer value "1" refers to the first argument of the
"is_equal()" function and the integer value "2" refers to the second.
This would create a :class:`.BinaryExpression` that is equivalent to::
BinaryExpression("a", "b", operator=op.eq)
However, at the SQL level it would still render as
"is_equal('a', 'b')".
The ORM, when it loads a related object or collection, needs to be able
to manipulate the "left" and "right" sides of the ON clause of a JOIN
expression. The purpose of this method is to provide a SQL function
construct that can also supply this information to the ORM, when used
with the :paramref:`_orm.relationship.primaryjoin` parameter. The
return value is a containment object called :class:`.FunctionAsBinary`.
An ORM example is as follows::
class Venue(Base):
__tablename__ = 'venue'
id = Column(Integer, primary_key=True)
name = Column(String)
descendants = relationship(
"Venue",
primaryjoin=func.instr(
remote(foreign(name)), name + "/"
).as_comparison(1, 2) == 1,
viewonly=True,
order_by=name
)
Above, the "Venue" class can load descendant "Venue" objects by
determining if the name of the parent Venue is contained within the
start of the hypothetical descendant value's name, e.g. "parent1" would
match up to "parent1/child1", but not to "parent2/child1".
Possible use cases include the "materialized path" example given above,
as well as making use of special SQL functions such as geometric
functions to create join conditions.
:param left_index: the integer 1-based index of the function argument
that serves as the "left" side of the expression.
:param right_index: the integer 1-based index of the function argument
that serves as the "right" side of the expression.
.. versionadded:: 1.3
.. seealso::
:ref:`relationship_custom_operator_sql_function` -
example use within the ORM
| def as_comparison(
self, left_index: int, right_index: int
) -> FunctionAsBinary:
"""Interpret this expression as a boolean comparison between two
values.
This method is used for an ORM use case described at
:ref:`relationship_custom_operator_sql_function`.
A hypothetical SQL function "is_equal()" which compares to values
for equality would be written in the Core expression language as::
expr = func.is_equal("a", "b")
If "is_equal()" above is comparing "a" and "b" for equality, the
:meth:`.FunctionElement.as_comparison` method would be invoked as::
expr = func.is_equal("a", "b").as_comparison(1, 2)
Where above, the integer value "1" refers to the first argument of the
"is_equal()" function and the integer value "2" refers to the second.
This would create a :class:`.BinaryExpression` that is equivalent to::
BinaryExpression("a", "b", operator=op.eq)
However, at the SQL level it would still render as
"is_equal('a', 'b')".
The ORM, when it loads a related object or collection, needs to be able
to manipulate the "left" and "right" sides of the ON clause of a JOIN
expression. The purpose of this method is to provide a SQL function
construct that can also supply this information to the ORM, when used
with the :paramref:`_orm.relationship.primaryjoin` parameter. The
return value is a containment object called :class:`.FunctionAsBinary`.
An ORM example is as follows::
class Venue(Base):
__tablename__ = 'venue'
id = Column(Integer, primary_key=True)
name = Column(String)
descendants = relationship(
"Venue",
primaryjoin=func.instr(
remote(foreign(name)), name + "/"
).as_comparison(1, 2) == 1,
viewonly=True,
order_by=name
)
Above, the "Venue" class can load descendant "Venue" objects by
determining if the name of the parent Venue is contained within the
start of the hypothetical descendant value's name, e.g. "parent1" would
match up to "parent1/child1", but not to "parent2/child1".
Possible use cases include the "materialized path" example given above,
as well as making use of special SQL functions such as geometric
functions to create join conditions.
:param left_index: the integer 1-based index of the function argument
that serves as the "left" side of the expression.
:param right_index: the integer 1-based index of the function argument
that serves as the "right" side of the expression.
.. versionadded:: 1.3
.. seealso::
:ref:`relationship_custom_operator_sql_function` -
example use within the ORM
"""
return FunctionAsBinary(self, left_index, right_index)
| (self, left_index: int, right_index: int) -> sqlalchemy.sql.functions.FunctionAsBinary | [
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16,069 | sqlalchemy.sql.operators | asc | Produce a :func:`_expression.asc` clause against the
parent object. | def asc(self) -> ColumnOperators:
"""Produce a :func:`_expression.asc` clause against the
parent object."""
return self.operate(asc_op)
| (self) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,070 | sqlalchemy.sql.operators | between | Produce a :func:`_expression.between` clause against
the parent object, given the lower and upper range.
| def between(
self, cleft: Any, cright: Any, symmetric: bool = False
) -> ColumnOperators:
"""Produce a :func:`_expression.between` clause against
the parent object, given the lower and upper range.
"""
return self.operate(between_op, cleft, cright, symmetric=symmetric)
| (self, cleft: Any, cright: Any, symmetric: bool = False) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,071 | sqlalchemy.sql.operators | bitwise_and | Produce a bitwise AND operation, typically via the ``&``
operator.
.. versionadded:: 2.0.2
.. seealso::
:ref:`operators_bitwise`
| def bitwise_and(self, other: Any) -> ColumnOperators:
"""Produce a bitwise AND operation, typically via the ``&``
operator.
.. versionadded:: 2.0.2
.. seealso::
:ref:`operators_bitwise`
"""
return self.operate(bitwise_and_op, other)
| (self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,072 | sqlalchemy.sql.operators | bitwise_lshift | Produce a bitwise LSHIFT operation, typically via the ``<<``
operator.
.. versionadded:: 2.0.2
.. seealso::
:ref:`operators_bitwise`
| def bitwise_lshift(self, other: Any) -> ColumnOperators:
"""Produce a bitwise LSHIFT operation, typically via the ``<<``
operator.
.. versionadded:: 2.0.2
.. seealso::
:ref:`operators_bitwise`
"""
return self.operate(bitwise_lshift_op, other)
| (self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,073 | sqlalchemy.sql.operators | bitwise_not | Produce a bitwise NOT operation, typically via the ``~``
operator.
.. versionadded:: 2.0.2
.. seealso::
:ref:`operators_bitwise`
| def bitwise_not(self) -> ColumnOperators:
"""Produce a bitwise NOT operation, typically via the ``~``
operator.
.. versionadded:: 2.0.2
.. seealso::
:ref:`operators_bitwise`
"""
return self.operate(bitwise_not_op)
| (self) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,074 | sqlalchemy.sql.operators | bitwise_or | Produce a bitwise OR operation, typically via the ``|``
operator.
.. versionadded:: 2.0.2
.. seealso::
:ref:`operators_bitwise`
| def bitwise_or(self, other: Any) -> ColumnOperators:
"""Produce a bitwise OR operation, typically via the ``|``
operator.
.. versionadded:: 2.0.2
.. seealso::
:ref:`operators_bitwise`
"""
return self.operate(bitwise_or_op, other)
| (self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,075 | sqlalchemy.sql.operators | bitwise_rshift | Produce a bitwise RSHIFT operation, typically via the ``>>``
operator.
.. versionadded:: 2.0.2
.. seealso::
:ref:`operators_bitwise`
| def bitwise_rshift(self, other: Any) -> ColumnOperators:
"""Produce a bitwise RSHIFT operation, typically via the ``>>``
operator.
.. versionadded:: 2.0.2
.. seealso::
:ref:`operators_bitwise`
"""
return self.operate(bitwise_rshift_op, other)
| (self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,076 | sqlalchemy.sql.operators | bitwise_xor | Produce a bitwise XOR operation, typically via the ``^``
operator, or ``#`` for PostgreSQL.
.. versionadded:: 2.0.2
.. seealso::
:ref:`operators_bitwise`
| def bitwise_xor(self, other: Any) -> ColumnOperators:
"""Produce a bitwise XOR operation, typically via the ``^``
operator, or ``#`` for PostgreSQL.
.. versionadded:: 2.0.2
.. seealso::
:ref:`operators_bitwise`
"""
return self.operate(bitwise_xor_op, other)
| (self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators | [
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] |
16,077 | sqlalchemy.sql.operators | bool_op | Return a custom boolean operator.
This method is shorthand for calling
:meth:`.Operators.op` and passing the
:paramref:`.Operators.op.is_comparison`
flag with True. A key advantage to using :meth:`.Operators.bool_op`
is that when using column constructs, the "boolean" nature of the
returned expression will be present for :pep:`484` purposes.
.. seealso::
:meth:`.Operators.op`
| def bool_op(
self,
opstring: str,
precedence: int = 0,
python_impl: Optional[Callable[..., Any]] = None,
) -> Callable[[Any], Operators]:
"""Return a custom boolean operator.
This method is shorthand for calling
:meth:`.Operators.op` and passing the
:paramref:`.Operators.op.is_comparison`
flag with True. A key advantage to using :meth:`.Operators.bool_op`
is that when using column constructs, the "boolean" nature of the
returned expression will be present for :pep:`484` purposes.
.. seealso::
:meth:`.Operators.op`
"""
return self.op(
opstring,
precedence=precedence,
is_comparison=True,
python_impl=python_impl,
)
| (self, opstring: str, precedence: int = 0, python_impl: Optional[Callable[..., Any]] = None) -> Callable[[Any], sqlalchemy.sql.operators.Operators] | [
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16,078 | sqlalchemy.sql.elements | cast | Produce a type cast, i.e. ``CAST(<expression> AS <type>)``.
This is a shortcut to the :func:`_expression.cast` function.
.. seealso::
:ref:`tutorial_casts`
:func:`_expression.cast`
:func:`_expression.type_coerce`
| def cast(self, type_: _TypeEngineArgument[_OPT]) -> Cast[_OPT]:
"""Produce a type cast, i.e. ``CAST(<expression> AS <type>)``.
This is a shortcut to the :func:`_expression.cast` function.
.. seealso::
:ref:`tutorial_casts`
:func:`_expression.cast`
:func:`_expression.type_coerce`
"""
return Cast(self, type_)
| (self, type_: '_TypeEngineArgument[_OPT]') -> 'Cast[_OPT]' | [
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16,079 | sqlalchemy.sql.operators | collate | Produce a :func:`_expression.collate` clause against
the parent object, given the collation string.
.. seealso::
:func:`_expression.collate`
| def collate(self, collation: str) -> ColumnOperators:
"""Produce a :func:`_expression.collate` clause against
the parent object, given the collation string.
.. seealso::
:func:`_expression.collate`
"""
return self.operate(collate, collation)
| (self, collation: str) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,080 | sqlalchemy.sql.functions | column_valued | Return this :class:`_functions.FunctionElement` as a column expression that
selects from itself as a FROM clause.
E.g.:
.. sourcecode:: pycon+sql
>>> from sqlalchemy import select, func
>>> gs = func.generate_series(1, 5, -1).column_valued()
>>> print(select(gs))
{printsql}SELECT anon_1
FROM generate_series(:generate_series_1, :generate_series_2, :generate_series_3) AS anon_1
This is shorthand for::
gs = func.generate_series(1, 5, -1).alias().column
:param name: optional name to assign to the alias name that's generated.
If omitted, a unique anonymizing name is used.
:param joins_implicitly: when True, the "table" portion of the column
valued function may be a member of the FROM clause without any
explicit JOIN to other tables in the SQL query, and no "cartesian
product" warning will be generated. May be useful for SQL functions
such as ``func.json_array_elements()``.
.. versionadded:: 1.4.46
.. seealso::
:ref:`tutorial_functions_column_valued` - in the :ref:`unified_tutorial`
:ref:`postgresql_column_valued` - in the :ref:`postgresql_toplevel` documentation
:meth:`_functions.FunctionElement.table_valued`
| def column_valued(
self, name: Optional[str] = None, joins_implicitly: bool = False
) -> TableValuedColumn[_T]:
"""Return this :class:`_functions.FunctionElement` as a column expression that
selects from itself as a FROM clause.
E.g.:
.. sourcecode:: pycon+sql
>>> from sqlalchemy import select, func
>>> gs = func.generate_series(1, 5, -1).column_valued()
>>> print(select(gs))
{printsql}SELECT anon_1
FROM generate_series(:generate_series_1, :generate_series_2, :generate_series_3) AS anon_1
This is shorthand for::
gs = func.generate_series(1, 5, -1).alias().column
:param name: optional name to assign to the alias name that's generated.
If omitted, a unique anonymizing name is used.
:param joins_implicitly: when True, the "table" portion of the column
valued function may be a member of the FROM clause without any
explicit JOIN to other tables in the SQL query, and no "cartesian
product" warning will be generated. May be useful for SQL functions
such as ``func.json_array_elements()``.
.. versionadded:: 1.4.46
.. seealso::
:ref:`tutorial_functions_column_valued` - in the :ref:`unified_tutorial`
:ref:`postgresql_column_valued` - in the :ref:`postgresql_toplevel` documentation
:meth:`_functions.FunctionElement.table_valued`
""" # noqa: 501
return self.alias(name=name, joins_implicitly=joins_implicitly).column
| (self, name: 'Optional[str]' = None, joins_implicitly: 'bool' = False) -> 'TableValuedColumn[_T]' | [
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16,081 | sqlalchemy.sql.elements | compare | Compare this :class:`_expression.ClauseElement` to
the given :class:`_expression.ClauseElement`.
Subclasses should override the default behavior, which is a
straight identity comparison.
\**kw are arguments consumed by subclass ``compare()`` methods and
may be used to modify the criteria for comparison
(see :class:`_expression.ColumnElement`).
| def compare(self, other: ClauseElement, **kw: Any) -> bool:
r"""Compare this :class:`_expression.ClauseElement` to
the given :class:`_expression.ClauseElement`.
Subclasses should override the default behavior, which is a
straight identity comparison.
\**kw are arguments consumed by subclass ``compare()`` methods and
may be used to modify the criteria for comparison
(see :class:`_expression.ColumnElement`).
"""
return traversals.compare(self, other, **kw)
| (self, other: sqlalchemy.sql.elements.ClauseElement, **kw: Any) -> bool | [
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16,082 | sqlalchemy.sql.elements | compile | Compile this SQL expression.
The return value is a :class:`~.Compiled` object.
Calling ``str()`` or ``unicode()`` on the returned value will yield a
string representation of the result. The
:class:`~.Compiled` object also can return a
dictionary of bind parameter names and values
using the ``params`` accessor.
:param bind: An :class:`.Connection` or :class:`.Engine` which
can provide a :class:`.Dialect` in order to generate a
:class:`.Compiled` object. If the ``bind`` and
``dialect`` parameters are both omitted, a default SQL compiler
is used.
:param column_keys: Used for INSERT and UPDATE statements, a list of
column names which should be present in the VALUES clause of the
compiled statement. If ``None``, all columns from the target table
object are rendered.
:param dialect: A :class:`.Dialect` instance which can generate
a :class:`.Compiled` object. This argument takes precedence over
the ``bind`` argument.
:param compile_kwargs: optional dictionary of additional parameters
that will be passed through to the compiler within all "visit"
methods. This allows any custom flag to be passed through to
a custom compilation construct, for example. It is also used
for the case of passing the ``literal_binds`` flag through::
from sqlalchemy.sql import table, column, select
t = table('t', column('x'))
s = select(t).where(t.c.x == 5)
print(s.compile(compile_kwargs={"literal_binds": True}))
.. seealso::
:ref:`faq_sql_expression_string`
| @util.preload_module("sqlalchemy.engine.default")
@util.preload_module("sqlalchemy.engine.url")
def compile(
self,
bind: Optional[_HasDialect] = None,
dialect: Optional[Dialect] = None,
**kw: Any,
) -> Compiled:
"""Compile this SQL expression.
The return value is a :class:`~.Compiled` object.
Calling ``str()`` or ``unicode()`` on the returned value will yield a
string representation of the result. The
:class:`~.Compiled` object also can return a
dictionary of bind parameter names and values
using the ``params`` accessor.
:param bind: An :class:`.Connection` or :class:`.Engine` which
can provide a :class:`.Dialect` in order to generate a
:class:`.Compiled` object. If the ``bind`` and
``dialect`` parameters are both omitted, a default SQL compiler
is used.
:param column_keys: Used for INSERT and UPDATE statements, a list of
column names which should be present in the VALUES clause of the
compiled statement. If ``None``, all columns from the target table
object are rendered.
:param dialect: A :class:`.Dialect` instance which can generate
a :class:`.Compiled` object. This argument takes precedence over
the ``bind`` argument.
:param compile_kwargs: optional dictionary of additional parameters
that will be passed through to the compiler within all "visit"
methods. This allows any custom flag to be passed through to
a custom compilation construct, for example. It is also used
for the case of passing the ``literal_binds`` flag through::
from sqlalchemy.sql import table, column, select
t = table('t', column('x'))
s = select(t).where(t.c.x == 5)
print(s.compile(compile_kwargs={"literal_binds": True}))
.. seealso::
:ref:`faq_sql_expression_string`
"""
if dialect is None:
if bind:
dialect = bind.dialect
elif self.stringify_dialect == "default":
default = util.preloaded.engine_default
dialect = default.StrCompileDialect()
else:
url = util.preloaded.engine_url
dialect = url.URL.create(
self.stringify_dialect
).get_dialect()()
return self._compiler(dialect, **kw)
| (self, bind: 'Optional[_HasDialect]' = None, dialect: 'Optional[Dialect]' = None, **kw: 'Any') -> 'Compiled' | [
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16,083 | sqlalchemy.sql.operators | concat | Implement the 'concat' operator.
In a column context, produces the clause ``a || b``,
or uses the ``concat()`` operator on MySQL.
| def concat(self, other: Any) -> ColumnOperators:
"""Implement the 'concat' operator.
In a column context, produces the clause ``a || b``,
or uses the ``concat()`` operator on MySQL.
"""
return self.operate(concat_op, other)
| (self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,084 | sqlalchemy.sql.operators | contains | Implement the 'contains' operator.
Produces a LIKE expression that tests against a match for the middle
of a string value::
column LIKE '%' || <other> || '%'
E.g.::
stmt = select(sometable).\
where(sometable.c.column.contains("foobar"))
Since the operator uses ``LIKE``, wildcard characters
``"%"`` and ``"_"`` that are present inside the <other> expression
will behave like wildcards as well. For literal string
values, the :paramref:`.ColumnOperators.contains.autoescape` flag
may be set to ``True`` to apply escaping to occurrences of these
characters within the string value so that they match as themselves
and not as wildcard characters. Alternatively, the
:paramref:`.ColumnOperators.contains.escape` parameter will establish
a given character as an escape character which can be of use when
the target expression is not a literal string.
:param other: expression to be compared. This is usually a plain
string value, but can also be an arbitrary SQL expression. LIKE
wildcard characters ``%`` and ``_`` are not escaped by default unless
the :paramref:`.ColumnOperators.contains.autoescape` flag is
set to True.
:param autoescape: boolean; when True, establishes an escape character
within the LIKE expression, then applies it to all occurrences of
``"%"``, ``"_"`` and the escape character itself within the
comparison value, which is assumed to be a literal string and not a
SQL expression.
An expression such as::
somecolumn.contains("foo%bar", autoescape=True)
Will render as::
somecolumn LIKE '%' || :param || '%' ESCAPE '/'
With the value of ``:param`` as ``"foo/%bar"``.
:param escape: a character which when given will render with the
``ESCAPE`` keyword to establish that character as the escape
character. This character can then be placed preceding occurrences
of ``%`` and ``_`` to allow them to act as themselves and not
wildcard characters.
An expression such as::
somecolumn.contains("foo/%bar", escape="^")
Will render as::
somecolumn LIKE '%' || :param || '%' ESCAPE '^'
The parameter may also be combined with
:paramref:`.ColumnOperators.contains.autoescape`::
somecolumn.contains("foo%bar^bat", escape="^", autoescape=True)
Where above, the given literal parameter will be converted to
``"foo^%bar^^bat"`` before being passed to the database.
.. seealso::
:meth:`.ColumnOperators.startswith`
:meth:`.ColumnOperators.endswith`
:meth:`.ColumnOperators.like`
| def contains(self, other: Any, **kw: Any) -> ColumnOperators:
r"""Implement the 'contains' operator.
Produces a LIKE expression that tests against a match for the middle
of a string value::
column LIKE '%' || <other> || '%'
E.g.::
stmt = select(sometable).\
where(sometable.c.column.contains("foobar"))
Since the operator uses ``LIKE``, wildcard characters
``"%"`` and ``"_"`` that are present inside the <other> expression
will behave like wildcards as well. For literal string
values, the :paramref:`.ColumnOperators.contains.autoescape` flag
may be set to ``True`` to apply escaping to occurrences of these
characters within the string value so that they match as themselves
and not as wildcard characters. Alternatively, the
:paramref:`.ColumnOperators.contains.escape` parameter will establish
a given character as an escape character which can be of use when
the target expression is not a literal string.
:param other: expression to be compared. This is usually a plain
string value, but can also be an arbitrary SQL expression. LIKE
wildcard characters ``%`` and ``_`` are not escaped by default unless
the :paramref:`.ColumnOperators.contains.autoescape` flag is
set to True.
:param autoescape: boolean; when True, establishes an escape character
within the LIKE expression, then applies it to all occurrences of
``"%"``, ``"_"`` and the escape character itself within the
comparison value, which is assumed to be a literal string and not a
SQL expression.
An expression such as::
somecolumn.contains("foo%bar", autoescape=True)
Will render as::
somecolumn LIKE '%' || :param || '%' ESCAPE '/'
With the value of ``:param`` as ``"foo/%bar"``.
:param escape: a character which when given will render with the
``ESCAPE`` keyword to establish that character as the escape
character. This character can then be placed preceding occurrences
of ``%`` and ``_`` to allow them to act as themselves and not
wildcard characters.
An expression such as::
somecolumn.contains("foo/%bar", escape="^")
Will render as::
somecolumn LIKE '%' || :param || '%' ESCAPE '^'
The parameter may also be combined with
:paramref:`.ColumnOperators.contains.autoescape`::
somecolumn.contains("foo%bar^bat", escape="^", autoescape=True)
Where above, the given literal parameter will be converted to
``"foo^%bar^^bat"`` before being passed to the database.
.. seealso::
:meth:`.ColumnOperators.startswith`
:meth:`.ColumnOperators.endswith`
:meth:`.ColumnOperators.like`
"""
return self.operate(contains_op, other, **kw)
| (self, other: Any, **kw: Any) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,085 | sqlalchemy.sql.selectable | corresponding_column | Given a :class:`_expression.ColumnElement`, return the exported
:class:`_expression.ColumnElement` object from the
:attr:`_expression.Selectable.exported_columns`
collection of this :class:`_expression.Selectable`
which corresponds to that
original :class:`_expression.ColumnElement` via a common ancestor
column.
:param column: the target :class:`_expression.ColumnElement`
to be matched.
:param require_embedded: only return corresponding columns for
the given :class:`_expression.ColumnElement`, if the given
:class:`_expression.ColumnElement`
is actually present within a sub-element
of this :class:`_expression.Selectable`.
Normally the column will match if
it merely shares a common ancestor with one of the exported
columns of this :class:`_expression.Selectable`.
.. seealso::
:attr:`_expression.Selectable.exported_columns` - the
:class:`_expression.ColumnCollection`
that is used for the operation.
:meth:`_expression.ColumnCollection.corresponding_column`
- implementation
method.
| def corresponding_column(
self, column: KeyedColumnElement[Any], require_embedded: bool = False
) -> Optional[KeyedColumnElement[Any]]:
"""Given a :class:`_expression.ColumnElement`, return the exported
:class:`_expression.ColumnElement` object from the
:attr:`_expression.Selectable.exported_columns`
collection of this :class:`_expression.Selectable`
which corresponds to that
original :class:`_expression.ColumnElement` via a common ancestor
column.
:param column: the target :class:`_expression.ColumnElement`
to be matched.
:param require_embedded: only return corresponding columns for
the given :class:`_expression.ColumnElement`, if the given
:class:`_expression.ColumnElement`
is actually present within a sub-element
of this :class:`_expression.Selectable`.
Normally the column will match if
it merely shares a common ancestor with one of the exported
columns of this :class:`_expression.Selectable`.
.. seealso::
:attr:`_expression.Selectable.exported_columns` - the
:class:`_expression.ColumnCollection`
that is used for the operation.
:meth:`_expression.ColumnCollection.corresponding_column`
- implementation
method.
"""
return self.exported_columns.corresponding_column(
column, require_embedded
)
| (self, column: 'KeyedColumnElement[Any]', require_embedded: 'bool' = False) -> 'Optional[KeyedColumnElement[Any]]' | [
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16,086 | sqlalchemy.sql.operators | desc | Produce a :func:`_expression.desc` clause against the
parent object. | def desc(self) -> ColumnOperators:
"""Produce a :func:`_expression.desc` clause against the
parent object."""
return self.operate(desc_op)
| (self) -> sqlalchemy.sql.operators.ColumnOperators | [
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-0.03325382620096207,
0.08479978889226913,
-0.0028845621272921562,
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] |
16,087 | sqlalchemy.sql.operators | distinct | Produce a :func:`_expression.distinct` clause against the
parent object.
| def distinct(self) -> ColumnOperators:
"""Produce a :func:`_expression.distinct` clause against the
parent object.
"""
return self.operate(distinct_op)
| (self) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,088 | sqlalchemy.sql.operators | endswith | Implement the 'endswith' operator.
Produces a LIKE expression that tests against a match for the end
of a string value::
column LIKE '%' || <other>
E.g.::
stmt = select(sometable).\
where(sometable.c.column.endswith("foobar"))
Since the operator uses ``LIKE``, wildcard characters
``"%"`` and ``"_"`` that are present inside the <other> expression
will behave like wildcards as well. For literal string
values, the :paramref:`.ColumnOperators.endswith.autoescape` flag
may be set to ``True`` to apply escaping to occurrences of these
characters within the string value so that they match as themselves
and not as wildcard characters. Alternatively, the
:paramref:`.ColumnOperators.endswith.escape` parameter will establish
a given character as an escape character which can be of use when
the target expression is not a literal string.
:param other: expression to be compared. This is usually a plain
string value, but can also be an arbitrary SQL expression. LIKE
wildcard characters ``%`` and ``_`` are not escaped by default unless
the :paramref:`.ColumnOperators.endswith.autoescape` flag is
set to True.
:param autoescape: boolean; when True, establishes an escape character
within the LIKE expression, then applies it to all occurrences of
``"%"``, ``"_"`` and the escape character itself within the
comparison value, which is assumed to be a literal string and not a
SQL expression.
An expression such as::
somecolumn.endswith("foo%bar", autoescape=True)
Will render as::
somecolumn LIKE '%' || :param ESCAPE '/'
With the value of ``:param`` as ``"foo/%bar"``.
:param escape: a character which when given will render with the
``ESCAPE`` keyword to establish that character as the escape
character. This character can then be placed preceding occurrences
of ``%`` and ``_`` to allow them to act as themselves and not
wildcard characters.
An expression such as::
somecolumn.endswith("foo/%bar", escape="^")
Will render as::
somecolumn LIKE '%' || :param ESCAPE '^'
The parameter may also be combined with
:paramref:`.ColumnOperators.endswith.autoescape`::
somecolumn.endswith("foo%bar^bat", escape="^", autoescape=True)
Where above, the given literal parameter will be converted to
``"foo^%bar^^bat"`` before being passed to the database.
.. seealso::
:meth:`.ColumnOperators.startswith`
:meth:`.ColumnOperators.contains`
:meth:`.ColumnOperators.like`
| def endswith(
self,
other: Any,
escape: Optional[str] = None,
autoescape: bool = False,
) -> ColumnOperators:
r"""Implement the 'endswith' operator.
Produces a LIKE expression that tests against a match for the end
of a string value::
column LIKE '%' || <other>
E.g.::
stmt = select(sometable).\
where(sometable.c.column.endswith("foobar"))
Since the operator uses ``LIKE``, wildcard characters
``"%"`` and ``"_"`` that are present inside the <other> expression
will behave like wildcards as well. For literal string
values, the :paramref:`.ColumnOperators.endswith.autoescape` flag
may be set to ``True`` to apply escaping to occurrences of these
characters within the string value so that they match as themselves
and not as wildcard characters. Alternatively, the
:paramref:`.ColumnOperators.endswith.escape` parameter will establish
a given character as an escape character which can be of use when
the target expression is not a literal string.
:param other: expression to be compared. This is usually a plain
string value, but can also be an arbitrary SQL expression. LIKE
wildcard characters ``%`` and ``_`` are not escaped by default unless
the :paramref:`.ColumnOperators.endswith.autoescape` flag is
set to True.
:param autoescape: boolean; when True, establishes an escape character
within the LIKE expression, then applies it to all occurrences of
``"%"``, ``"_"`` and the escape character itself within the
comparison value, which is assumed to be a literal string and not a
SQL expression.
An expression such as::
somecolumn.endswith("foo%bar", autoescape=True)
Will render as::
somecolumn LIKE '%' || :param ESCAPE '/'
With the value of ``:param`` as ``"foo/%bar"``.
:param escape: a character which when given will render with the
``ESCAPE`` keyword to establish that character as the escape
character. This character can then be placed preceding occurrences
of ``%`` and ``_`` to allow them to act as themselves and not
wildcard characters.
An expression such as::
somecolumn.endswith("foo/%bar", escape="^")
Will render as::
somecolumn LIKE '%' || :param ESCAPE '^'
The parameter may also be combined with
:paramref:`.ColumnOperators.endswith.autoescape`::
somecolumn.endswith("foo%bar^bat", escape="^", autoescape=True)
Where above, the given literal parameter will be converted to
``"foo^%bar^^bat"`` before being passed to the database.
.. seealso::
:meth:`.ColumnOperators.startswith`
:meth:`.ColumnOperators.contains`
:meth:`.ColumnOperators.like`
"""
return self.operate(
endswith_op, other, escape=escape, autoescape=autoescape
)
| (self, other: Any, escape: Optional[str] = None, autoescape: bool = False) -> sqlalchemy.sql.operators.ColumnOperators | [
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] |
16,089 | sqlalchemy.sql.base | execution_options | Set non-SQL options for the statement which take effect during
execution.
Execution options can be set at many scopes, including per-statement,
per-connection, or per execution, using methods such as
:meth:`_engine.Connection.execution_options` and parameters which
accept a dictionary of options such as
:paramref:`_engine.Connection.execute.execution_options` and
:paramref:`_orm.Session.execute.execution_options`.
The primary characteristic of an execution option, as opposed to
other kinds of options such as ORM loader options, is that
**execution options never affect the compiled SQL of a query, only
things that affect how the SQL statement itself is invoked or how
results are fetched**. That is, execution options are not part of
what's accommodated by SQL compilation nor are they considered part of
the cached state of a statement.
The :meth:`_sql.Executable.execution_options` method is
:term:`generative`, as
is the case for the method as applied to the :class:`_engine.Engine`
and :class:`_orm.Query` objects, which means when the method is called,
a copy of the object is returned, which applies the given parameters to
that new copy, but leaves the original unchanged::
statement = select(table.c.x, table.c.y)
new_statement = statement.execution_options(my_option=True)
An exception to this behavior is the :class:`_engine.Connection`
object, where the :meth:`_engine.Connection.execution_options` method
is explicitly **not** generative.
The kinds of options that may be passed to
:meth:`_sql.Executable.execution_options` and other related methods and
parameter dictionaries include parameters that are explicitly consumed
by SQLAlchemy Core or ORM, as well as arbitrary keyword arguments not
defined by SQLAlchemy, which means the methods and/or parameter
dictionaries may be used for user-defined parameters that interact with
custom code, which may access the parameters using methods such as
:meth:`_sql.Executable.get_execution_options` and
:meth:`_engine.Connection.get_execution_options`, or within selected
event hooks using a dedicated ``execution_options`` event parameter
such as
:paramref:`_events.ConnectionEvents.before_execute.execution_options`
or :attr:`_orm.ORMExecuteState.execution_options`, e.g.::
from sqlalchemy import event
@event.listens_for(some_engine, "before_execute")
def _process_opt(conn, statement, multiparams, params, execution_options):
"run a SQL function before invoking a statement"
if execution_options.get("do_special_thing", False):
conn.exec_driver_sql("run_special_function()")
Within the scope of options that are explicitly recognized by
SQLAlchemy, most apply to specific classes of objects and not others.
The most common execution options include:
* :paramref:`_engine.Connection.execution_options.isolation_level` -
sets the isolation level for a connection or a class of connections
via an :class:`_engine.Engine`. This option is accepted only
by :class:`_engine.Connection` or :class:`_engine.Engine`.
* :paramref:`_engine.Connection.execution_options.stream_results` -
indicates results should be fetched using a server side cursor;
this option is accepted by :class:`_engine.Connection`, by the
:paramref:`_engine.Connection.execute.execution_options` parameter
on :meth:`_engine.Connection.execute`, and additionally by
:meth:`_sql.Executable.execution_options` on a SQL statement object,
as well as by ORM constructs like :meth:`_orm.Session.execute`.
* :paramref:`_engine.Connection.execution_options.compiled_cache` -
indicates a dictionary that will serve as the
:ref:`SQL compilation cache <sql_caching>`
for a :class:`_engine.Connection` or :class:`_engine.Engine`, as
well as for ORM methods like :meth:`_orm.Session.execute`.
Can be passed as ``None`` to disable caching for statements.
This option is not accepted by
:meth:`_sql.Executable.execution_options` as it is inadvisable to
carry along a compilation cache within a statement object.
* :paramref:`_engine.Connection.execution_options.schema_translate_map`
- a mapping of schema names used by the
:ref:`Schema Translate Map <schema_translating>` feature, accepted
by :class:`_engine.Connection`, :class:`_engine.Engine`,
:class:`_sql.Executable`, as well as by ORM constructs
like :meth:`_orm.Session.execute`.
.. seealso::
:meth:`_engine.Connection.execution_options`
:paramref:`_engine.Connection.execute.execution_options`
:paramref:`_orm.Session.execute.execution_options`
:ref:`orm_queryguide_execution_options` - documentation on all
ORM-specific execution options
| # sql/base.py
# Copyright (C) 2005-2024 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: https://www.opensource.org/licenses/mit-license.php
# mypy: allow-untyped-defs, allow-untyped-calls
"""Foundational utilities common to many sql modules.
"""
from __future__ import annotations
import collections
from enum import Enum
import itertools
from itertools import zip_longest
import operator
import re
from typing import Any
from typing import Callable
from typing import cast
from typing import Dict
from typing import FrozenSet
from typing import Generic
from typing import Iterable
from typing import Iterator
from typing import List
from typing import Mapping
from typing import MutableMapping
from typing import NamedTuple
from typing import NoReturn
from typing import Optional
from typing import overload
from typing import Sequence
from typing import Set
from typing import Tuple
from typing import Type
from typing import TYPE_CHECKING
from typing import TypeVar
from typing import Union
from . import roles
from . import visitors
from .cache_key import HasCacheKey # noqa
from .cache_key import MemoizedHasCacheKey # noqa
from .traversals import HasCopyInternals # noqa
from .visitors import ClauseVisitor
from .visitors import ExtendedInternalTraversal
from .visitors import ExternallyTraversible
from .visitors import InternalTraversal
from .. import event
from .. import exc
from .. import util
from ..util import HasMemoized as HasMemoized
from ..util import hybridmethod
from ..util import typing as compat_typing
from ..util.typing import Protocol
from ..util.typing import Self
from ..util.typing import TypeGuard
if TYPE_CHECKING:
from . import coercions
from . import elements
from . import type_api
from ._orm_types import DMLStrategyArgument
from ._orm_types import SynchronizeSessionArgument
from ._typing import _CLE
from .elements import BindParameter
from .elements import ClauseList
from .elements import ColumnClause # noqa
from .elements import ColumnElement
from .elements import NamedColumn
from .elements import SQLCoreOperations
from .elements import TextClause
from .schema import Column
from .schema import DefaultGenerator
from .selectable import _JoinTargetElement
from .selectable import _SelectIterable
from .selectable import FromClause
from ..engine import Connection
from ..engine import CursorResult
from ..engine.interfaces import _CoreMultiExecuteParams
from ..engine.interfaces import _ExecuteOptions
from ..engine.interfaces import _ImmutableExecuteOptions
from ..engine.interfaces import CacheStats
from ..engine.interfaces import Compiled
from ..engine.interfaces import CompiledCacheType
from ..engine.interfaces import CoreExecuteOptionsParameter
from ..engine.interfaces import Dialect
from ..engine.interfaces import IsolationLevel
from ..engine.interfaces import SchemaTranslateMapType
from ..event import dispatcher
if not TYPE_CHECKING:
coercions = None # noqa
elements = None # noqa
type_api = None # noqa
class _NoArg(Enum):
NO_ARG = 0
def __repr__(self):
return f"_NoArg.{self.name}"
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16,090 | sqlalchemy.sql.functions | filter | Produce a FILTER clause against this function.
Used against aggregate and window functions,
for database backends that support the "FILTER" clause.
The expression::
func.count(1).filter(True)
is shorthand for::
from sqlalchemy import funcfilter
funcfilter(func.count(1), True)
.. seealso::
:ref:`tutorial_functions_within_group` -
in the :ref:`unified_tutorial`
:class:`.FunctionFilter`
:func:`.funcfilter`
| def filter(
self, *criterion: _ColumnExpressionArgument[bool]
) -> Union[Self, FunctionFilter[_T]]:
"""Produce a FILTER clause against this function.
Used against aggregate and window functions,
for database backends that support the "FILTER" clause.
The expression::
func.count(1).filter(True)
is shorthand for::
from sqlalchemy import funcfilter
funcfilter(func.count(1), True)
.. seealso::
:ref:`tutorial_functions_within_group` -
in the :ref:`unified_tutorial`
:class:`.FunctionFilter`
:func:`.funcfilter`
"""
if not criterion:
return self
return FunctionFilter(self, *criterion)
| (self, *criterion: '_ColumnExpressionArgument[bool]') -> 'Union[Self, FunctionFilter[_T]]' | [
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16,091 | sqlalchemy.sql.visitors | get_children | Return immediate child :class:`.visitors.HasTraverseInternals`
elements of this :class:`.visitors.HasTraverseInternals`.
This is used for visit traversal.
\**kw may contain flags that change the collection that is
returned, for example to return a subset of items in order to
cut down on larger traversals, or to return child items from a
different context (such as schema-level collections instead of
clause-level).
| @util.preload_module("sqlalchemy.sql.traversals")
def get_children(
self, *, omit_attrs: Tuple[str, ...] = (), **kw: Any
) -> Iterable[HasTraverseInternals]:
r"""Return immediate child :class:`.visitors.HasTraverseInternals`
elements of this :class:`.visitors.HasTraverseInternals`.
This is used for visit traversal.
\**kw may contain flags that change the collection that is
returned, for example to return a subset of items in order to
cut down on larger traversals, or to return child items from a
different context (such as schema-level collections instead of
clause-level).
"""
traversals = util.preloaded.sql_traversals
try:
traverse_internals = self._traverse_internals
except AttributeError:
# user-defined classes may not have a _traverse_internals
return []
dispatch = traversals._get_children.run_generated_dispatch
return itertools.chain.from_iterable(
meth(obj, **kw)
for attrname, obj, meth in dispatch(
self, traverse_internals, "_generated_get_children_traversal"
)
if attrname not in omit_attrs and obj is not None
)
| (self, *, omit_attrs: Tuple[str, ...] = (), **kw: Any) -> Iterable[sqlalchemy.sql.visitors.HasTraverseInternals] | [
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16,092 | sqlalchemy.sql.base | get_execution_options | Get the non-SQL options which will take effect during execution.
.. versionadded:: 1.3
.. seealso::
:meth:`.Executable.execution_options`
| def get_execution_options(self) -> _ExecuteOptions:
"""Get the non-SQL options which will take effect during execution.
.. versionadded:: 1.3
.. seealso::
:meth:`.Executable.execution_options`
"""
return self._execution_options
| (self) -> '_ExecuteOptions' | [
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] |
16,093 | sqlalchemy.sql.operators | icontains | Implement the ``icontains`` operator, e.g. case insensitive
version of :meth:`.ColumnOperators.contains`.
Produces a LIKE expression that tests against an insensitive match
for the middle of a string value::
lower(column) LIKE '%' || lower(<other>) || '%'
E.g.::
stmt = select(sometable).\
where(sometable.c.column.icontains("foobar"))
Since the operator uses ``LIKE``, wildcard characters
``"%"`` and ``"_"`` that are present inside the <other> expression
will behave like wildcards as well. For literal string
values, the :paramref:`.ColumnOperators.icontains.autoescape` flag
may be set to ``True`` to apply escaping to occurrences of these
characters within the string value so that they match as themselves
and not as wildcard characters. Alternatively, the
:paramref:`.ColumnOperators.icontains.escape` parameter will establish
a given character as an escape character which can be of use when
the target expression is not a literal string.
:param other: expression to be compared. This is usually a plain
string value, but can also be an arbitrary SQL expression. LIKE
wildcard characters ``%`` and ``_`` are not escaped by default unless
the :paramref:`.ColumnOperators.icontains.autoescape` flag is
set to True.
:param autoescape: boolean; when True, establishes an escape character
within the LIKE expression, then applies it to all occurrences of
``"%"``, ``"_"`` and the escape character itself within the
comparison value, which is assumed to be a literal string and not a
SQL expression.
An expression such as::
somecolumn.icontains("foo%bar", autoescape=True)
Will render as::
lower(somecolumn) LIKE '%' || lower(:param) || '%' ESCAPE '/'
With the value of ``:param`` as ``"foo/%bar"``.
:param escape: a character which when given will render with the
``ESCAPE`` keyword to establish that character as the escape
character. This character can then be placed preceding occurrences
of ``%`` and ``_`` to allow them to act as themselves and not
wildcard characters.
An expression such as::
somecolumn.icontains("foo/%bar", escape="^")
Will render as::
lower(somecolumn) LIKE '%' || lower(:param) || '%' ESCAPE '^'
The parameter may also be combined with
:paramref:`.ColumnOperators.contains.autoescape`::
somecolumn.icontains("foo%bar^bat", escape="^", autoescape=True)
Where above, the given literal parameter will be converted to
``"foo^%bar^^bat"`` before being passed to the database.
.. seealso::
:meth:`.ColumnOperators.contains`
| def icontains(self, other: Any, **kw: Any) -> ColumnOperators:
r"""Implement the ``icontains`` operator, e.g. case insensitive
version of :meth:`.ColumnOperators.contains`.
Produces a LIKE expression that tests against an insensitive match
for the middle of a string value::
lower(column) LIKE '%' || lower(<other>) || '%'
E.g.::
stmt = select(sometable).\
where(sometable.c.column.icontains("foobar"))
Since the operator uses ``LIKE``, wildcard characters
``"%"`` and ``"_"`` that are present inside the <other> expression
will behave like wildcards as well. For literal string
values, the :paramref:`.ColumnOperators.icontains.autoescape` flag
may be set to ``True`` to apply escaping to occurrences of these
characters within the string value so that they match as themselves
and not as wildcard characters. Alternatively, the
:paramref:`.ColumnOperators.icontains.escape` parameter will establish
a given character as an escape character which can be of use when
the target expression is not a literal string.
:param other: expression to be compared. This is usually a plain
string value, but can also be an arbitrary SQL expression. LIKE
wildcard characters ``%`` and ``_`` are not escaped by default unless
the :paramref:`.ColumnOperators.icontains.autoescape` flag is
set to True.
:param autoescape: boolean; when True, establishes an escape character
within the LIKE expression, then applies it to all occurrences of
``"%"``, ``"_"`` and the escape character itself within the
comparison value, which is assumed to be a literal string and not a
SQL expression.
An expression such as::
somecolumn.icontains("foo%bar", autoescape=True)
Will render as::
lower(somecolumn) LIKE '%' || lower(:param) || '%' ESCAPE '/'
With the value of ``:param`` as ``"foo/%bar"``.
:param escape: a character which when given will render with the
``ESCAPE`` keyword to establish that character as the escape
character. This character can then be placed preceding occurrences
of ``%`` and ``_`` to allow them to act as themselves and not
wildcard characters.
An expression such as::
somecolumn.icontains("foo/%bar", escape="^")
Will render as::
lower(somecolumn) LIKE '%' || lower(:param) || '%' ESCAPE '^'
The parameter may also be combined with
:paramref:`.ColumnOperators.contains.autoescape`::
somecolumn.icontains("foo%bar^bat", escape="^", autoescape=True)
Where above, the given literal parameter will be converted to
``"foo^%bar^^bat"`` before being passed to the database.
.. seealso::
:meth:`.ColumnOperators.contains`
"""
return self.operate(icontains_op, other, **kw)
| (self, other: Any, **kw: Any) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,094 | sqlalchemy.sql.operators | iendswith | Implement the ``iendswith`` operator, e.g. case insensitive
version of :meth:`.ColumnOperators.endswith`.
Produces a LIKE expression that tests against an insensitive match
for the end of a string value::
lower(column) LIKE '%' || lower(<other>)
E.g.::
stmt = select(sometable).\
where(sometable.c.column.iendswith("foobar"))
Since the operator uses ``LIKE``, wildcard characters
``"%"`` and ``"_"`` that are present inside the <other> expression
will behave like wildcards as well. For literal string
values, the :paramref:`.ColumnOperators.iendswith.autoescape` flag
may be set to ``True`` to apply escaping to occurrences of these
characters within the string value so that they match as themselves
and not as wildcard characters. Alternatively, the
:paramref:`.ColumnOperators.iendswith.escape` parameter will establish
a given character as an escape character which can be of use when
the target expression is not a literal string.
:param other: expression to be compared. This is usually a plain
string value, but can also be an arbitrary SQL expression. LIKE
wildcard characters ``%`` and ``_`` are not escaped by default unless
the :paramref:`.ColumnOperators.iendswith.autoescape` flag is
set to True.
:param autoescape: boolean; when True, establishes an escape character
within the LIKE expression, then applies it to all occurrences of
``"%"``, ``"_"`` and the escape character itself within the
comparison value, which is assumed to be a literal string and not a
SQL expression.
An expression such as::
somecolumn.iendswith("foo%bar", autoescape=True)
Will render as::
lower(somecolumn) LIKE '%' || lower(:param) ESCAPE '/'
With the value of ``:param`` as ``"foo/%bar"``.
:param escape: a character which when given will render with the
``ESCAPE`` keyword to establish that character as the escape
character. This character can then be placed preceding occurrences
of ``%`` and ``_`` to allow them to act as themselves and not
wildcard characters.
An expression such as::
somecolumn.iendswith("foo/%bar", escape="^")
Will render as::
lower(somecolumn) LIKE '%' || lower(:param) ESCAPE '^'
The parameter may also be combined with
:paramref:`.ColumnOperators.iendswith.autoescape`::
somecolumn.endswith("foo%bar^bat", escape="^", autoescape=True)
Where above, the given literal parameter will be converted to
``"foo^%bar^^bat"`` before being passed to the database.
.. seealso::
:meth:`.ColumnOperators.endswith`
| def iendswith(
self,
other: Any,
escape: Optional[str] = None,
autoescape: bool = False,
) -> ColumnOperators:
r"""Implement the ``iendswith`` operator, e.g. case insensitive
version of :meth:`.ColumnOperators.endswith`.
Produces a LIKE expression that tests against an insensitive match
for the end of a string value::
lower(column) LIKE '%' || lower(<other>)
E.g.::
stmt = select(sometable).\
where(sometable.c.column.iendswith("foobar"))
Since the operator uses ``LIKE``, wildcard characters
``"%"`` and ``"_"`` that are present inside the <other> expression
will behave like wildcards as well. For literal string
values, the :paramref:`.ColumnOperators.iendswith.autoescape` flag
may be set to ``True`` to apply escaping to occurrences of these
characters within the string value so that they match as themselves
and not as wildcard characters. Alternatively, the
:paramref:`.ColumnOperators.iendswith.escape` parameter will establish
a given character as an escape character which can be of use when
the target expression is not a literal string.
:param other: expression to be compared. This is usually a plain
string value, but can also be an arbitrary SQL expression. LIKE
wildcard characters ``%`` and ``_`` are not escaped by default unless
the :paramref:`.ColumnOperators.iendswith.autoescape` flag is
set to True.
:param autoescape: boolean; when True, establishes an escape character
within the LIKE expression, then applies it to all occurrences of
``"%"``, ``"_"`` and the escape character itself within the
comparison value, which is assumed to be a literal string and not a
SQL expression.
An expression such as::
somecolumn.iendswith("foo%bar", autoescape=True)
Will render as::
lower(somecolumn) LIKE '%' || lower(:param) ESCAPE '/'
With the value of ``:param`` as ``"foo/%bar"``.
:param escape: a character which when given will render with the
``ESCAPE`` keyword to establish that character as the escape
character. This character can then be placed preceding occurrences
of ``%`` and ``_`` to allow them to act as themselves and not
wildcard characters.
An expression such as::
somecolumn.iendswith("foo/%bar", escape="^")
Will render as::
lower(somecolumn) LIKE '%' || lower(:param) ESCAPE '^'
The parameter may also be combined with
:paramref:`.ColumnOperators.iendswith.autoescape`::
somecolumn.endswith("foo%bar^bat", escape="^", autoescape=True)
Where above, the given literal parameter will be converted to
``"foo^%bar^^bat"`` before being passed to the database.
.. seealso::
:meth:`.ColumnOperators.endswith`
"""
return self.operate(
iendswith_op, other, escape=escape, autoescape=autoescape
)
| (self, other: Any, escape: Optional[str] = None, autoescape: bool = False) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,095 | sqlalchemy.sql.operators | ilike | Implement the ``ilike`` operator, e.g. case insensitive LIKE.
In a column context, produces an expression either of the form::
lower(a) LIKE lower(other)
Or on backends that support the ILIKE operator::
a ILIKE other
E.g.::
stmt = select(sometable).\
where(sometable.c.column.ilike("%foobar%"))
:param other: expression to be compared
:param escape: optional escape character, renders the ``ESCAPE``
keyword, e.g.::
somecolumn.ilike("foo/%bar", escape="/")
.. seealso::
:meth:`.ColumnOperators.like`
| def ilike(
self, other: Any, escape: Optional[str] = None
) -> ColumnOperators:
r"""Implement the ``ilike`` operator, e.g. case insensitive LIKE.
In a column context, produces an expression either of the form::
lower(a) LIKE lower(other)
Or on backends that support the ILIKE operator::
a ILIKE other
E.g.::
stmt = select(sometable).\
where(sometable.c.column.ilike("%foobar%"))
:param other: expression to be compared
:param escape: optional escape character, renders the ``ESCAPE``
keyword, e.g.::
somecolumn.ilike("foo/%bar", escape="/")
.. seealso::
:meth:`.ColumnOperators.like`
"""
return self.operate(ilike_op, other, escape=escape)
| (self, other: Any, escape: Optional[str] = None) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,096 | sqlalchemy.sql.operators | in_ | Implement the ``in`` operator.
In a column context, produces the clause ``column IN <other>``.
The given parameter ``other`` may be:
* A list of literal values, e.g.::
stmt.where(column.in_([1, 2, 3]))
In this calling form, the list of items is converted to a set of
bound parameters the same length as the list given::
WHERE COL IN (?, ?, ?)
* A list of tuples may be provided if the comparison is against a
:func:`.tuple_` containing multiple expressions::
from sqlalchemy import tuple_
stmt.where(tuple_(col1, col2).in_([(1, 10), (2, 20), (3, 30)]))
* An empty list, e.g.::
stmt.where(column.in_([]))
In this calling form, the expression renders an "empty set"
expression. These expressions are tailored to individual backends
and are generally trying to get an empty SELECT statement as a
subquery. Such as on SQLite, the expression is::
WHERE col IN (SELECT 1 FROM (SELECT 1) WHERE 1!=1)
.. versionchanged:: 1.4 empty IN expressions now use an
execution-time generated SELECT subquery in all cases.
* A bound parameter, e.g. :func:`.bindparam`, may be used if it
includes the :paramref:`.bindparam.expanding` flag::
stmt.where(column.in_(bindparam('value', expanding=True)))
In this calling form, the expression renders a special non-SQL
placeholder expression that looks like::
WHERE COL IN ([EXPANDING_value])
This placeholder expression is intercepted at statement execution
time to be converted into the variable number of bound parameter
form illustrated earlier. If the statement were executed as::
connection.execute(stmt, {"value": [1, 2, 3]})
The database would be passed a bound parameter for each value::
WHERE COL IN (?, ?, ?)
.. versionadded:: 1.2 added "expanding" bound parameters
If an empty list is passed, a special "empty list" expression,
which is specific to the database in use, is rendered. On
SQLite this would be::
WHERE COL IN (SELECT 1 FROM (SELECT 1) WHERE 1!=1)
.. versionadded:: 1.3 "expanding" bound parameters now support
empty lists
* a :func:`_expression.select` construct, which is usually a
correlated scalar select::
stmt.where(
column.in_(
select(othertable.c.y).
where(table.c.x == othertable.c.x)
)
)
In this calling form, :meth:`.ColumnOperators.in_` renders as given::
WHERE COL IN (SELECT othertable.y
FROM othertable WHERE othertable.x = table.x)
:param other: a list of literals, a :func:`_expression.select`
construct, or a :func:`.bindparam` construct that includes the
:paramref:`.bindparam.expanding` flag set to True.
| def in_(self, other: Any) -> ColumnOperators:
"""Implement the ``in`` operator.
In a column context, produces the clause ``column IN <other>``.
The given parameter ``other`` may be:
* A list of literal values, e.g.::
stmt.where(column.in_([1, 2, 3]))
In this calling form, the list of items is converted to a set of
bound parameters the same length as the list given::
WHERE COL IN (?, ?, ?)
* A list of tuples may be provided if the comparison is against a
:func:`.tuple_` containing multiple expressions::
from sqlalchemy import tuple_
stmt.where(tuple_(col1, col2).in_([(1, 10), (2, 20), (3, 30)]))
* An empty list, e.g.::
stmt.where(column.in_([]))
In this calling form, the expression renders an "empty set"
expression. These expressions are tailored to individual backends
and are generally trying to get an empty SELECT statement as a
subquery. Such as on SQLite, the expression is::
WHERE col IN (SELECT 1 FROM (SELECT 1) WHERE 1!=1)
.. versionchanged:: 1.4 empty IN expressions now use an
execution-time generated SELECT subquery in all cases.
* A bound parameter, e.g. :func:`.bindparam`, may be used if it
includes the :paramref:`.bindparam.expanding` flag::
stmt.where(column.in_(bindparam('value', expanding=True)))
In this calling form, the expression renders a special non-SQL
placeholder expression that looks like::
WHERE COL IN ([EXPANDING_value])
This placeholder expression is intercepted at statement execution
time to be converted into the variable number of bound parameter
form illustrated earlier. If the statement were executed as::
connection.execute(stmt, {"value": [1, 2, 3]})
The database would be passed a bound parameter for each value::
WHERE COL IN (?, ?, ?)
.. versionadded:: 1.2 added "expanding" bound parameters
If an empty list is passed, a special "empty list" expression,
which is specific to the database in use, is rendered. On
SQLite this would be::
WHERE COL IN (SELECT 1 FROM (SELECT 1) WHERE 1!=1)
.. versionadded:: 1.3 "expanding" bound parameters now support
empty lists
* a :func:`_expression.select` construct, which is usually a
correlated scalar select::
stmt.where(
column.in_(
select(othertable.c.y).
where(table.c.x == othertable.c.x)
)
)
In this calling form, :meth:`.ColumnOperators.in_` renders as given::
WHERE COL IN (SELECT othertable.y
FROM othertable WHERE othertable.x = table.x)
:param other: a list of literals, a :func:`_expression.select`
construct, or a :func:`.bindparam` construct that includes the
:paramref:`.bindparam.expanding` flag set to True.
"""
return self.operate(in_op, other)
| (self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,097 | sqlalchemy.sql.operators | is_ | Implement the ``IS`` operator.
Normally, ``IS`` is generated automatically when comparing to a
value of ``None``, which resolves to ``NULL``. However, explicit
usage of ``IS`` may be desirable if comparing to boolean values
on certain platforms.
.. seealso:: :meth:`.ColumnOperators.is_not`
| def is_(self, other: Any) -> ColumnOperators:
"""Implement the ``IS`` operator.
Normally, ``IS`` is generated automatically when comparing to a
value of ``None``, which resolves to ``NULL``. However, explicit
usage of ``IS`` may be desirable if comparing to boolean values
on certain platforms.
.. seealso:: :meth:`.ColumnOperators.is_not`
"""
return self.operate(is_, other)
| (self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,098 | sqlalchemy.sql.selectable | is_derived_from | Return ``True`` if this :class:`_expression.FromClause` is
'derived' from the given ``FromClause``.
An example would be an Alias of a Table is derived from that Table.
| def is_derived_from(self, fromclause: Optional[FromClause]) -> bool:
"""Return ``True`` if this :class:`_expression.FromClause` is
'derived' from the given ``FromClause``.
An example would be an Alias of a Table is derived from that Table.
"""
# this is essentially an "identity" check in the base class.
# Other constructs override this to traverse through
# contained elements.
return fromclause in self._cloned_set
| (self, fromclause: Optional[sqlalchemy.sql.selectable.FromClause]) -> bool | [
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] |
16,099 | sqlalchemy.sql.operators | is_distinct_from | Implement the ``IS DISTINCT FROM`` operator.
Renders "a IS DISTINCT FROM b" on most platforms;
on some such as SQLite may render "a IS NOT b".
| def is_distinct_from(self, other: Any) -> ColumnOperators:
"""Implement the ``IS DISTINCT FROM`` operator.
Renders "a IS DISTINCT FROM b" on most platforms;
on some such as SQLite may render "a IS NOT b".
"""
return self.operate(is_distinct_from, other)
| (self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,100 | sqlalchemy.sql.operators | is_not | Implement the ``IS NOT`` operator.
Normally, ``IS NOT`` is generated automatically when comparing to a
value of ``None``, which resolves to ``NULL``. However, explicit
usage of ``IS NOT`` may be desirable if comparing to boolean values
on certain platforms.
.. versionchanged:: 1.4 The ``is_not()`` operator is renamed from
``isnot()`` in previous releases. The previous name remains
available for backwards compatibility.
.. seealso:: :meth:`.ColumnOperators.is_`
| def is_not(self, other: Any) -> ColumnOperators:
"""Implement the ``IS NOT`` operator.
Normally, ``IS NOT`` is generated automatically when comparing to a
value of ``None``, which resolves to ``NULL``. However, explicit
usage of ``IS NOT`` may be desirable if comparing to boolean values
on certain platforms.
.. versionchanged:: 1.4 The ``is_not()`` operator is renamed from
``isnot()`` in previous releases. The previous name remains
available for backwards compatibility.
.. seealso:: :meth:`.ColumnOperators.is_`
"""
return self.operate(is_not, other)
| (self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,101 | sqlalchemy.sql.operators | is_not_distinct_from | Implement the ``IS NOT DISTINCT FROM`` operator.
Renders "a IS NOT DISTINCT FROM b" on most platforms;
on some such as SQLite may render "a IS b".
.. versionchanged:: 1.4 The ``is_not_distinct_from()`` operator is
renamed from ``isnot_distinct_from()`` in previous releases.
The previous name remains available for backwards compatibility.
| def is_not_distinct_from(self, other: Any) -> ColumnOperators:
"""Implement the ``IS NOT DISTINCT FROM`` operator.
Renders "a IS NOT DISTINCT FROM b" on most platforms;
on some such as SQLite may render "a IS b".
.. versionchanged:: 1.4 The ``is_not_distinct_from()`` operator is
renamed from ``isnot_distinct_from()`` in previous releases.
The previous name remains available for backwards compatibility.
"""
return self.operate(is_not_distinct_from, other)
| (self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators | [
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] |
16,104 | sqlalchemy.sql.operators | istartswith | Implement the ``istartswith`` operator, e.g. case insensitive
version of :meth:`.ColumnOperators.startswith`.
Produces a LIKE expression that tests against an insensitive
match for the start of a string value::
lower(column) LIKE lower(<other>) || '%'
E.g.::
stmt = select(sometable).\
where(sometable.c.column.istartswith("foobar"))
Since the operator uses ``LIKE``, wildcard characters
``"%"`` and ``"_"`` that are present inside the <other> expression
will behave like wildcards as well. For literal string
values, the :paramref:`.ColumnOperators.istartswith.autoescape` flag
may be set to ``True`` to apply escaping to occurrences of these
characters within the string value so that they match as themselves
and not as wildcard characters. Alternatively, the
:paramref:`.ColumnOperators.istartswith.escape` parameter will
establish a given character as an escape character which can be of
use when the target expression is not a literal string.
:param other: expression to be compared. This is usually a plain
string value, but can also be an arbitrary SQL expression. LIKE
wildcard characters ``%`` and ``_`` are not escaped by default unless
the :paramref:`.ColumnOperators.istartswith.autoescape` flag is
set to True.
:param autoescape: boolean; when True, establishes an escape character
within the LIKE expression, then applies it to all occurrences of
``"%"``, ``"_"`` and the escape character itself within the
comparison value, which is assumed to be a literal string and not a
SQL expression.
An expression such as::
somecolumn.istartswith("foo%bar", autoescape=True)
Will render as::
lower(somecolumn) LIKE lower(:param) || '%' ESCAPE '/'
With the value of ``:param`` as ``"foo/%bar"``.
:param escape: a character which when given will render with the
``ESCAPE`` keyword to establish that character as the escape
character. This character can then be placed preceding occurrences
of ``%`` and ``_`` to allow them to act as themselves and not
wildcard characters.
An expression such as::
somecolumn.istartswith("foo/%bar", escape="^")
Will render as::
lower(somecolumn) LIKE lower(:param) || '%' ESCAPE '^'
The parameter may also be combined with
:paramref:`.ColumnOperators.istartswith.autoescape`::
somecolumn.istartswith("foo%bar^bat", escape="^", autoescape=True)
Where above, the given literal parameter will be converted to
``"foo^%bar^^bat"`` before being passed to the database.
.. seealso::
:meth:`.ColumnOperators.startswith`
| def istartswith(
self,
other: Any,
escape: Optional[str] = None,
autoescape: bool = False,
) -> ColumnOperators:
r"""Implement the ``istartswith`` operator, e.g. case insensitive
version of :meth:`.ColumnOperators.startswith`.
Produces a LIKE expression that tests against an insensitive
match for the start of a string value::
lower(column) LIKE lower(<other>) || '%'
E.g.::
stmt = select(sometable).\
where(sometable.c.column.istartswith("foobar"))
Since the operator uses ``LIKE``, wildcard characters
``"%"`` and ``"_"`` that are present inside the <other> expression
will behave like wildcards as well. For literal string
values, the :paramref:`.ColumnOperators.istartswith.autoescape` flag
may be set to ``True`` to apply escaping to occurrences of these
characters within the string value so that they match as themselves
and not as wildcard characters. Alternatively, the
:paramref:`.ColumnOperators.istartswith.escape` parameter will
establish a given character as an escape character which can be of
use when the target expression is not a literal string.
:param other: expression to be compared. This is usually a plain
string value, but can also be an arbitrary SQL expression. LIKE
wildcard characters ``%`` and ``_`` are not escaped by default unless
the :paramref:`.ColumnOperators.istartswith.autoescape` flag is
set to True.
:param autoescape: boolean; when True, establishes an escape character
within the LIKE expression, then applies it to all occurrences of
``"%"``, ``"_"`` and the escape character itself within the
comparison value, which is assumed to be a literal string and not a
SQL expression.
An expression such as::
somecolumn.istartswith("foo%bar", autoescape=True)
Will render as::
lower(somecolumn) LIKE lower(:param) || '%' ESCAPE '/'
With the value of ``:param`` as ``"foo/%bar"``.
:param escape: a character which when given will render with the
``ESCAPE`` keyword to establish that character as the escape
character. This character can then be placed preceding occurrences
of ``%`` and ``_`` to allow them to act as themselves and not
wildcard characters.
An expression such as::
somecolumn.istartswith("foo/%bar", escape="^")
Will render as::
lower(somecolumn) LIKE lower(:param) || '%' ESCAPE '^'
The parameter may also be combined with
:paramref:`.ColumnOperators.istartswith.autoescape`::
somecolumn.istartswith("foo%bar^bat", escape="^", autoescape=True)
Where above, the given literal parameter will be converted to
``"foo^%bar^^bat"`` before being passed to the database.
.. seealso::
:meth:`.ColumnOperators.startswith`
"""
return self.operate(
istartswith_op, other, escape=escape, autoescape=autoescape
)
| (self, other: Any, escape: Optional[str] = None, autoescape: bool = False) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,105 | sqlalchemy.sql.selectable | join | Return a :class:`_expression.Join` from this
:class:`_expression.FromClause`
to another :class:`FromClause`.
E.g.::
from sqlalchemy import join
j = user_table.join(address_table,
user_table.c.id == address_table.c.user_id)
stmt = select(user_table).select_from(j)
would emit SQL along the lines of::
SELECT user.id, user.name FROM user
JOIN address ON user.id = address.user_id
:param right: the right side of the join; this is any
:class:`_expression.FromClause` object such as a
:class:`_schema.Table` object, and
may also be a selectable-compatible object such as an ORM-mapped
class.
:param onclause: a SQL expression representing the ON clause of the
join. If left at ``None``, :meth:`_expression.FromClause.join`
will attempt to
join the two tables based on a foreign key relationship.
:param isouter: if True, render a LEFT OUTER JOIN, instead of JOIN.
:param full: if True, render a FULL OUTER JOIN, instead of LEFT OUTER
JOIN. Implies :paramref:`.FromClause.join.isouter`.
.. seealso::
:func:`_expression.join` - standalone function
:class:`_expression.Join` - the type of object produced
| def join(
self,
right: _FromClauseArgument,
onclause: Optional[_ColumnExpressionArgument[bool]] = None,
isouter: bool = False,
full: bool = False,
) -> Join:
"""Return a :class:`_expression.Join` from this
:class:`_expression.FromClause`
to another :class:`FromClause`.
E.g.::
from sqlalchemy import join
j = user_table.join(address_table,
user_table.c.id == address_table.c.user_id)
stmt = select(user_table).select_from(j)
would emit SQL along the lines of::
SELECT user.id, user.name FROM user
JOIN address ON user.id = address.user_id
:param right: the right side of the join; this is any
:class:`_expression.FromClause` object such as a
:class:`_schema.Table` object, and
may also be a selectable-compatible object such as an ORM-mapped
class.
:param onclause: a SQL expression representing the ON clause of the
join. If left at ``None``, :meth:`_expression.FromClause.join`
will attempt to
join the two tables based on a foreign key relationship.
:param isouter: if True, render a LEFT OUTER JOIN, instead of JOIN.
:param full: if True, render a FULL OUTER JOIN, instead of LEFT OUTER
JOIN. Implies :paramref:`.FromClause.join.isouter`.
.. seealso::
:func:`_expression.join` - standalone function
:class:`_expression.Join` - the type of object produced
"""
return Join(self, right, onclause, isouter, full)
| (self, right: '_FromClauseArgument', onclause: 'Optional[_ColumnExpressionArgument[bool]]' = None, isouter: 'bool' = False, full: 'bool' = False) -> 'Join' | [
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16,106 | sqlalchemy.sql.elements | label | Produce a column label, i.e. ``<columnname> AS <name>``.
This is a shortcut to the :func:`_expression.label` function.
If 'name' is ``None``, an anonymous label name will be generated.
| def label(self, name: Optional[str]) -> Label[_T]:
"""Produce a column label, i.e. ``<columnname> AS <name>``.
This is a shortcut to the :func:`_expression.label` function.
If 'name' is ``None``, an anonymous label name will be generated.
"""
return Label(name, self, self.type)
| (self, name: Optional[str]) -> sqlalchemy.sql.elements.Label[~_T] | [
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16,107 | sqlalchemy.sql.selectable | lateral | Return a LATERAL alias of this :class:`_expression.Selectable`.
The return value is the :class:`_expression.Lateral` construct also
provided by the top-level :func:`_expression.lateral` function.
.. seealso::
:ref:`tutorial_lateral_correlation` - overview of usage.
| def lateral(self, name: Optional[str] = None) -> LateralFromClause:
"""Return a LATERAL alias of this :class:`_expression.Selectable`.
The return value is the :class:`_expression.Lateral` construct also
provided by the top-level :func:`_expression.lateral` function.
.. seealso::
:ref:`tutorial_lateral_correlation` - overview of usage.
"""
return Lateral._construct(self, name=name)
| (self, name: Optional[str] = None) -> sqlalchemy.sql.selectable.LateralFromClause | [
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16,108 | sqlalchemy.sql.operators | like | Implement the ``like`` operator.
In a column context, produces the expression::
a LIKE other
E.g.::
stmt = select(sometable).\
where(sometable.c.column.like("%foobar%"))
:param other: expression to be compared
:param escape: optional escape character, renders the ``ESCAPE``
keyword, e.g.::
somecolumn.like("foo/%bar", escape="/")
.. seealso::
:meth:`.ColumnOperators.ilike`
| def like(
self, other: Any, escape: Optional[str] = None
) -> ColumnOperators:
r"""Implement the ``like`` operator.
In a column context, produces the expression::
a LIKE other
E.g.::
stmt = select(sometable).\
where(sometable.c.column.like("%foobar%"))
:param other: expression to be compared
:param escape: optional escape character, renders the ``ESCAPE``
keyword, e.g.::
somecolumn.like("foo/%bar", escape="/")
.. seealso::
:meth:`.ColumnOperators.ilike`
"""
return self.operate(like_op, other, escape=escape)
| (self, other: Any, escape: Optional[str] = None) -> sqlalchemy.sql.operators.ColumnOperators | [
0.009233029559254646,
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16,109 | sqlalchemy.sql.operators | match | Implements a database-specific 'match' operator.
:meth:`_sql.ColumnOperators.match` attempts to resolve to
a MATCH-like function or operator provided by the backend.
Examples include:
* PostgreSQL - renders ``x @@ plainto_tsquery(y)``
.. versionchanged:: 2.0 ``plainto_tsquery()`` is used instead
of ``to_tsquery()`` for PostgreSQL now; for compatibility with
other forms, see :ref:`postgresql_match`.
* MySQL - renders ``MATCH (x) AGAINST (y IN BOOLEAN MODE)``
.. seealso::
:class:`_mysql.match` - MySQL specific construct with
additional features.
* Oracle - renders ``CONTAINS(x, y)``
* other backends may provide special implementations.
* Backends without any special implementation will emit
the operator as "MATCH". This is compatible with SQLite, for
example.
| def match(self, other: Any, **kwargs: Any) -> ColumnOperators:
"""Implements a database-specific 'match' operator.
:meth:`_sql.ColumnOperators.match` attempts to resolve to
a MATCH-like function or operator provided by the backend.
Examples include:
* PostgreSQL - renders ``x @@ plainto_tsquery(y)``
.. versionchanged:: 2.0 ``plainto_tsquery()`` is used instead
of ``to_tsquery()`` for PostgreSQL now; for compatibility with
other forms, see :ref:`postgresql_match`.
* MySQL - renders ``MATCH (x) AGAINST (y IN BOOLEAN MODE)``
.. seealso::
:class:`_mysql.match` - MySQL specific construct with
additional features.
* Oracle - renders ``CONTAINS(x, y)``
* other backends may provide special implementations.
* Backends without any special implementation will emit
the operator as "MATCH". This is compatible with SQLite, for
example.
"""
return self.operate(match_op, other, **kwargs)
| (self, other: Any, **kwargs: Any) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,110 | sqlalchemy.sql.operators | not_ilike | implement the ``NOT ILIKE`` operator.
This is equivalent to using negation with
:meth:`.ColumnOperators.ilike`, i.e. ``~x.ilike(y)``.
.. versionchanged:: 1.4 The ``not_ilike()`` operator is renamed from
``notilike()`` in previous releases. The previous name remains
available for backwards compatibility.
.. seealso::
:meth:`.ColumnOperators.ilike`
| def not_ilike(
self, other: Any, escape: Optional[str] = None
) -> ColumnOperators:
"""implement the ``NOT ILIKE`` operator.
This is equivalent to using negation with
:meth:`.ColumnOperators.ilike`, i.e. ``~x.ilike(y)``.
.. versionchanged:: 1.4 The ``not_ilike()`` operator is renamed from
``notilike()`` in previous releases. The previous name remains
available for backwards compatibility.
.. seealso::
:meth:`.ColumnOperators.ilike`
"""
return self.operate(not_ilike_op, other, escape=escape)
| (self, other: Any, escape: Optional[str] = None) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,111 | sqlalchemy.sql.operators | not_in | implement the ``NOT IN`` operator.
This is equivalent to using negation with
:meth:`.ColumnOperators.in_`, i.e. ``~x.in_(y)``.
In the case that ``other`` is an empty sequence, the compiler
produces an "empty not in" expression. This defaults to the
expression "1 = 1" to produce true in all cases. The
:paramref:`_sa.create_engine.empty_in_strategy` may be used to
alter this behavior.
.. versionchanged:: 1.4 The ``not_in()`` operator is renamed from
``notin_()`` in previous releases. The previous name remains
available for backwards compatibility.
.. versionchanged:: 1.2 The :meth:`.ColumnOperators.in_` and
:meth:`.ColumnOperators.not_in` operators
now produce a "static" expression for an empty IN sequence
by default.
.. seealso::
:meth:`.ColumnOperators.in_`
| def not_in(self, other: Any) -> ColumnOperators:
"""implement the ``NOT IN`` operator.
This is equivalent to using negation with
:meth:`.ColumnOperators.in_`, i.e. ``~x.in_(y)``.
In the case that ``other`` is an empty sequence, the compiler
produces an "empty not in" expression. This defaults to the
expression "1 = 1" to produce true in all cases. The
:paramref:`_sa.create_engine.empty_in_strategy` may be used to
alter this behavior.
.. versionchanged:: 1.4 The ``not_in()`` operator is renamed from
``notin_()`` in previous releases. The previous name remains
available for backwards compatibility.
.. versionchanged:: 1.2 The :meth:`.ColumnOperators.in_` and
:meth:`.ColumnOperators.not_in` operators
now produce a "static" expression for an empty IN sequence
by default.
.. seealso::
:meth:`.ColumnOperators.in_`
"""
return self.operate(not_in_op, other)
| (self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,112 | sqlalchemy.sql.operators | not_like | implement the ``NOT LIKE`` operator.
This is equivalent to using negation with
:meth:`.ColumnOperators.like`, i.e. ``~x.like(y)``.
.. versionchanged:: 1.4 The ``not_like()`` operator is renamed from
``notlike()`` in previous releases. The previous name remains
available for backwards compatibility.
.. seealso::
:meth:`.ColumnOperators.like`
| def not_like(
self, other: Any, escape: Optional[str] = None
) -> ColumnOperators:
"""implement the ``NOT LIKE`` operator.
This is equivalent to using negation with
:meth:`.ColumnOperators.like`, i.e. ``~x.like(y)``.
.. versionchanged:: 1.4 The ``not_like()`` operator is renamed from
``notlike()`` in previous releases. The previous name remains
available for backwards compatibility.
.. seealso::
:meth:`.ColumnOperators.like`
"""
return self.operate(not_like_op, other, escape=escape)
| (self, other: Any, escape: Optional[str] = None) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,116 | sqlalchemy.sql.operators | nulls_first | Produce a :func:`_expression.nulls_first` clause against the
parent object.
.. versionchanged:: 1.4 The ``nulls_first()`` operator is
renamed from ``nullsfirst()`` in previous releases.
The previous name remains available for backwards compatibility.
| def nulls_first(self) -> ColumnOperators:
"""Produce a :func:`_expression.nulls_first` clause against the
parent object.
.. versionchanged:: 1.4 The ``nulls_first()`` operator is
renamed from ``nullsfirst()`` in previous releases.
The previous name remains available for backwards compatibility.
"""
return self.operate(nulls_first_op)
| (self) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,117 | sqlalchemy.sql.operators | nulls_last | Produce a :func:`_expression.nulls_last` clause against the
parent object.
.. versionchanged:: 1.4 The ``nulls_last()`` operator is
renamed from ``nullslast()`` in previous releases.
The previous name remains available for backwards compatibility.
| def nulls_last(self) -> ColumnOperators:
"""Produce a :func:`_expression.nulls_last` clause against the
parent object.
.. versionchanged:: 1.4 The ``nulls_last()`` operator is
renamed from ``nullslast()`` in previous releases.
The previous name remains available for backwards compatibility.
"""
return self.operate(nulls_last_op)
| (self) -> sqlalchemy.sql.operators.ColumnOperators | [
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] |
16,120 | sqlalchemy.sql.operators | op | Produce a generic operator function.
e.g.::
somecolumn.op("*")(5)
produces::
somecolumn * 5
This function can also be used to make bitwise operators explicit. For
example::
somecolumn.op('&')(0xff)
is a bitwise AND of the value in ``somecolumn``.
:param opstring: a string which will be output as the infix operator
between this element and the expression passed to the
generated function.
:param precedence: precedence which the database is expected to apply
to the operator in SQL expressions. This integer value acts as a hint
for the SQL compiler to know when explicit parenthesis should be
rendered around a particular operation. A lower number will cause the
expression to be parenthesized when applied against another operator
with higher precedence. The default value of ``0`` is lower than all
operators except for the comma (``,``) and ``AS`` operators. A value
of 100 will be higher or equal to all operators, and -100 will be
lower than or equal to all operators.
.. seealso::
:ref:`faq_sql_expression_op_parenthesis` - detailed description
of how the SQLAlchemy SQL compiler renders parenthesis
:param is_comparison: legacy; if True, the operator will be considered
as a "comparison" operator, that is which evaluates to a boolean
true/false value, like ``==``, ``>``, etc. This flag is provided
so that ORM relationships can establish that the operator is a
comparison operator when used in a custom join condition.
Using the ``is_comparison`` parameter is superseded by using the
:meth:`.Operators.bool_op` method instead; this more succinct
operator sets this parameter automatically, but also provides
correct :pep:`484` typing support as the returned object will
express a "boolean" datatype, i.e. ``BinaryExpression[bool]``.
:param return_type: a :class:`.TypeEngine` class or object that will
force the return type of an expression produced by this operator
to be of that type. By default, operators that specify
:paramref:`.Operators.op.is_comparison` will resolve to
:class:`.Boolean`, and those that do not will be of the same
type as the left-hand operand.
:param python_impl: an optional Python function that can evaluate
two Python values in the same way as this operator works when
run on the database server. Useful for in-Python SQL expression
evaluation functions, such as for ORM hybrid attributes, and the
ORM "evaluator" used to match objects in a session after a multi-row
update or delete.
e.g.::
>>> expr = column('x').op('+', python_impl=lambda a, b: a + b)('y')
The operator for the above expression will also work for non-SQL
left and right objects::
>>> expr.operator(5, 10)
15
.. versionadded:: 2.0
.. seealso::
:meth:`.Operators.bool_op`
:ref:`types_operators`
:ref:`relationship_custom_operator`
| def op(
self,
opstring: str,
precedence: int = 0,
is_comparison: bool = False,
return_type: Optional[
Union[Type[TypeEngine[Any]], TypeEngine[Any]]
] = None,
python_impl: Optional[Callable[..., Any]] = None,
) -> Callable[[Any], Operators]:
"""Produce a generic operator function.
e.g.::
somecolumn.op("*")(5)
produces::
somecolumn * 5
This function can also be used to make bitwise operators explicit. For
example::
somecolumn.op('&')(0xff)
is a bitwise AND of the value in ``somecolumn``.
:param opstring: a string which will be output as the infix operator
between this element and the expression passed to the
generated function.
:param precedence: precedence which the database is expected to apply
to the operator in SQL expressions. This integer value acts as a hint
for the SQL compiler to know when explicit parenthesis should be
rendered around a particular operation. A lower number will cause the
expression to be parenthesized when applied against another operator
with higher precedence. The default value of ``0`` is lower than all
operators except for the comma (``,``) and ``AS`` operators. A value
of 100 will be higher or equal to all operators, and -100 will be
lower than or equal to all operators.
.. seealso::
:ref:`faq_sql_expression_op_parenthesis` - detailed description
of how the SQLAlchemy SQL compiler renders parenthesis
:param is_comparison: legacy; if True, the operator will be considered
as a "comparison" operator, that is which evaluates to a boolean
true/false value, like ``==``, ``>``, etc. This flag is provided
so that ORM relationships can establish that the operator is a
comparison operator when used in a custom join condition.
Using the ``is_comparison`` parameter is superseded by using the
:meth:`.Operators.bool_op` method instead; this more succinct
operator sets this parameter automatically, but also provides
correct :pep:`484` typing support as the returned object will
express a "boolean" datatype, i.e. ``BinaryExpression[bool]``.
:param return_type: a :class:`.TypeEngine` class or object that will
force the return type of an expression produced by this operator
to be of that type. By default, operators that specify
:paramref:`.Operators.op.is_comparison` will resolve to
:class:`.Boolean`, and those that do not will be of the same
type as the left-hand operand.
:param python_impl: an optional Python function that can evaluate
two Python values in the same way as this operator works when
run on the database server. Useful for in-Python SQL expression
evaluation functions, such as for ORM hybrid attributes, and the
ORM "evaluator" used to match objects in a session after a multi-row
update or delete.
e.g.::
>>> expr = column('x').op('+', python_impl=lambda a, b: a + b)('y')
The operator for the above expression will also work for non-SQL
left and right objects::
>>> expr.operator(5, 10)
15
.. versionadded:: 2.0
.. seealso::
:meth:`.Operators.bool_op`
:ref:`types_operators`
:ref:`relationship_custom_operator`
"""
operator = custom_op(
opstring,
precedence,
is_comparison,
return_type,
python_impl=python_impl,
)
def against(other: Any) -> Operators:
return operator(self, other)
return against
| (self, opstring: 'str', precedence: 'int' = 0, is_comparison: 'bool' = False, return_type: 'Optional[Union[Type[TypeEngine[Any]], TypeEngine[Any]]]' = None, python_impl: 'Optional[Callable[..., Any]]' = None) -> 'Callable[[Any], Operators]' | [
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] |
16,121 | sqlalchemy.sql.elements | operate | null | def operate(
self,
op: operators.OperatorType,
*other: Any,
**kwargs: Any,
) -> ColumnElement[Any]:
return op(self.comparator, *other, **kwargs) # type: ignore[no-any-return] # noqa: E501
| (self, op: sqlalchemy.sql.operators.OperatorType, *other: Any, **kwargs: Any) -> sqlalchemy.sql.elements.ColumnElement[typing.Any] | [
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] |
16,122 | sqlalchemy.sql.base | options | Apply options to this statement.
In the general sense, options are any kind of Python object
that can be interpreted by the SQL compiler for the statement.
These options can be consumed by specific dialects or specific kinds
of compilers.
The most commonly known kind of option are the ORM level options
that apply "eager load" and other loading behaviors to an ORM
query. However, options can theoretically be used for many other
purposes.
For background on specific kinds of options for specific kinds of
statements, refer to the documentation for those option objects.
.. versionchanged:: 1.4 - added :meth:`.Executable.options` to
Core statement objects towards the goal of allowing unified
Core / ORM querying capabilities.
.. seealso::
:ref:`loading_columns` - refers to options specific to the usage
of ORM queries
:ref:`relationship_loader_options` - refers to options specific
to the usage of ORM queries
| # sql/base.py
# Copyright (C) 2005-2024 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: https://www.opensource.org/licenses/mit-license.php
# mypy: allow-untyped-defs, allow-untyped-calls
"""Foundational utilities common to many sql modules.
"""
from __future__ import annotations
import collections
from enum import Enum
import itertools
from itertools import zip_longest
import operator
import re
from typing import Any
from typing import Callable
from typing import cast
from typing import Dict
from typing import FrozenSet
from typing import Generic
from typing import Iterable
from typing import Iterator
from typing import List
from typing import Mapping
from typing import MutableMapping
from typing import NamedTuple
from typing import NoReturn
from typing import Optional
from typing import overload
from typing import Sequence
from typing import Set
from typing import Tuple
from typing import Type
from typing import TYPE_CHECKING
from typing import TypeVar
from typing import Union
from . import roles
from . import visitors
from .cache_key import HasCacheKey # noqa
from .cache_key import MemoizedHasCacheKey # noqa
from .traversals import HasCopyInternals # noqa
from .visitors import ClauseVisitor
from .visitors import ExtendedInternalTraversal
from .visitors import ExternallyTraversible
from .visitors import InternalTraversal
from .. import event
from .. import exc
from .. import util
from ..util import HasMemoized as HasMemoized
from ..util import hybridmethod
from ..util import typing as compat_typing
from ..util.typing import Protocol
from ..util.typing import Self
from ..util.typing import TypeGuard
if TYPE_CHECKING:
from . import coercions
from . import elements
from . import type_api
from ._orm_types import DMLStrategyArgument
from ._orm_types import SynchronizeSessionArgument
from ._typing import _CLE
from .elements import BindParameter
from .elements import ClauseList
from .elements import ColumnClause # noqa
from .elements import ColumnElement
from .elements import NamedColumn
from .elements import SQLCoreOperations
from .elements import TextClause
from .schema import Column
from .schema import DefaultGenerator
from .selectable import _JoinTargetElement
from .selectable import _SelectIterable
from .selectable import FromClause
from ..engine import Connection
from ..engine import CursorResult
from ..engine.interfaces import _CoreMultiExecuteParams
from ..engine.interfaces import _ExecuteOptions
from ..engine.interfaces import _ImmutableExecuteOptions
from ..engine.interfaces import CacheStats
from ..engine.interfaces import Compiled
from ..engine.interfaces import CompiledCacheType
from ..engine.interfaces import CoreExecuteOptionsParameter
from ..engine.interfaces import Dialect
from ..engine.interfaces import IsolationLevel
from ..engine.interfaces import SchemaTranslateMapType
from ..event import dispatcher
if not TYPE_CHECKING:
coercions = None # noqa
elements = None # noqa
type_api = None # noqa
class _NoArg(Enum):
NO_ARG = 0
def __repr__(self):
return f"_NoArg.{self.name}"
| (self, *options: sqlalchemy.sql.base.ExecutableOption) -> typing_extensions.Self | [
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16,123 | sqlalchemy.sql.selectable | outerjoin | Return a :class:`_expression.Join` from this
:class:`_expression.FromClause`
to another :class:`FromClause`, with the "isouter" flag set to
True.
E.g.::
from sqlalchemy import outerjoin
j = user_table.outerjoin(address_table,
user_table.c.id == address_table.c.user_id)
The above is equivalent to::
j = user_table.join(
address_table,
user_table.c.id == address_table.c.user_id,
isouter=True)
:param right: the right side of the join; this is any
:class:`_expression.FromClause` object such as a
:class:`_schema.Table` object, and
may also be a selectable-compatible object such as an ORM-mapped
class.
:param onclause: a SQL expression representing the ON clause of the
join. If left at ``None``, :meth:`_expression.FromClause.join`
will attempt to
join the two tables based on a foreign key relationship.
:param full: if True, render a FULL OUTER JOIN, instead of
LEFT OUTER JOIN.
.. seealso::
:meth:`_expression.FromClause.join`
:class:`_expression.Join`
| def outerjoin(
self,
right: _FromClauseArgument,
onclause: Optional[_ColumnExpressionArgument[bool]] = None,
full: bool = False,
) -> Join:
"""Return a :class:`_expression.Join` from this
:class:`_expression.FromClause`
to another :class:`FromClause`, with the "isouter" flag set to
True.
E.g.::
from sqlalchemy import outerjoin
j = user_table.outerjoin(address_table,
user_table.c.id == address_table.c.user_id)
The above is equivalent to::
j = user_table.join(
address_table,
user_table.c.id == address_table.c.user_id,
isouter=True)
:param right: the right side of the join; this is any
:class:`_expression.FromClause` object such as a
:class:`_schema.Table` object, and
may also be a selectable-compatible object such as an ORM-mapped
class.
:param onclause: a SQL expression representing the ON clause of the
join. If left at ``None``, :meth:`_expression.FromClause.join`
will attempt to
join the two tables based on a foreign key relationship.
:param full: if True, render a FULL OUTER JOIN, instead of
LEFT OUTER JOIN.
.. seealso::
:meth:`_expression.FromClause.join`
:class:`_expression.Join`
"""
return Join(self, right, onclause, True, full)
| (self, right: '_FromClauseArgument', onclause: 'Optional[_ColumnExpressionArgument[bool]]' = None, full: 'bool' = False) -> 'Join' | [
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16,124 | sqlalchemy.sql.functions | over | Produce an OVER clause against this function.
Used against aggregate or so-called "window" functions,
for database backends that support window functions.
The expression::
func.row_number().over(order_by='x')
is shorthand for::
from sqlalchemy import over
over(func.row_number(), order_by='x')
See :func:`_expression.over` for a full description.
.. seealso::
:func:`_expression.over`
:ref:`tutorial_window_functions` - in the :ref:`unified_tutorial`
| def over(
self,
*,
partition_by: Optional[_ByArgument] = None,
order_by: Optional[_ByArgument] = None,
rows: Optional[Tuple[Optional[int], Optional[int]]] = None,
range_: Optional[Tuple[Optional[int], Optional[int]]] = None,
) -> Over[_T]:
"""Produce an OVER clause against this function.
Used against aggregate or so-called "window" functions,
for database backends that support window functions.
The expression::
func.row_number().over(order_by='x')
is shorthand for::
from sqlalchemy import over
over(func.row_number(), order_by='x')
See :func:`_expression.over` for a full description.
.. seealso::
:func:`_expression.over`
:ref:`tutorial_window_functions` - in the :ref:`unified_tutorial`
"""
return Over(
self,
partition_by=partition_by,
order_by=order_by,
rows=rows,
range_=range_,
)
| (self, *, partition_by: 'Optional[_ByArgument]' = None, order_by: 'Optional[_ByArgument]' = None, rows: 'Optional[Tuple[Optional[int], Optional[int]]]' = None, range_: 'Optional[Tuple[Optional[int], Optional[int]]]' = None) -> 'Over[_T]' | [
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16,125 | sqlalchemy.sql.elements | params | Return a copy with :func:`_expression.bindparam` elements
replaced.
Returns a copy of this ClauseElement with
:func:`_expression.bindparam`
elements replaced with values taken from the given dictionary::
>>> clause = column('x') + bindparam('foo')
>>> print(clause.compile().params)
{'foo':None}
>>> print(clause.params({'foo':7}).compile().params)
{'foo':7}
| def params(
self,
__optionaldict: Optional[Mapping[str, Any]] = None,
**kwargs: Any,
) -> Self:
"""Return a copy with :func:`_expression.bindparam` elements
replaced.
Returns a copy of this ClauseElement with
:func:`_expression.bindparam`
elements replaced with values taken from the given dictionary::
>>> clause = column('x') + bindparam('foo')
>>> print(clause.compile().params)
{'foo':None}
>>> print(clause.params({'foo':7}).compile().params)
{'foo':7}
"""
return self._replace_params(False, __optionaldict, kwargs)
| (self, _ClauseElement__optionaldict: Optional[Mapping[str, Any]] = None, **kwargs: Any) -> typing_extensions.Self | [
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16,126 | sqlalchemy.sql.operators | regexp_match | Implements a database-specific 'regexp match' operator.
E.g.::
stmt = select(table.c.some_column).where(
table.c.some_column.regexp_match('^(b|c)')
)
:meth:`_sql.ColumnOperators.regexp_match` attempts to resolve to
a REGEXP-like function or operator provided by the backend, however
the specific regular expression syntax and flags available are
**not backend agnostic**.
Examples include:
* PostgreSQL - renders ``x ~ y`` or ``x !~ y`` when negated.
* Oracle - renders ``REGEXP_LIKE(x, y)``
* SQLite - uses SQLite's ``REGEXP`` placeholder operator and calls into
the Python ``re.match()`` builtin.
* other backends may provide special implementations.
* Backends without any special implementation will emit
the operator as "REGEXP" or "NOT REGEXP". This is compatible with
SQLite and MySQL, for example.
Regular expression support is currently implemented for Oracle,
PostgreSQL, MySQL and MariaDB. Partial support is available for
SQLite. Support among third-party dialects may vary.
:param pattern: The regular expression pattern string or column
clause.
:param flags: Any regular expression string flags to apply, passed as
plain Python string only. These flags are backend specific.
Some backends, like PostgreSQL and MariaDB, may alternatively
specify the flags as part of the pattern.
When using the ignore case flag 'i' in PostgreSQL, the ignore case
regexp match operator ``~*`` or ``!~*`` will be used.
.. versionadded:: 1.4
.. versionchanged:: 1.4.48, 2.0.18 Note that due to an implementation
error, the "flags" parameter previously accepted SQL expression
objects such as column expressions in addition to plain Python
strings. This implementation did not work correctly with caching
and was removed; strings only should be passed for the "flags"
parameter, as these flags are rendered as literal inline values
within SQL expressions.
.. seealso::
:meth:`_sql.ColumnOperators.regexp_replace`
| def regexp_match(
self, pattern: Any, flags: Optional[str] = None
) -> ColumnOperators:
"""Implements a database-specific 'regexp match' operator.
E.g.::
stmt = select(table.c.some_column).where(
table.c.some_column.regexp_match('^(b|c)')
)
:meth:`_sql.ColumnOperators.regexp_match` attempts to resolve to
a REGEXP-like function or operator provided by the backend, however
the specific regular expression syntax and flags available are
**not backend agnostic**.
Examples include:
* PostgreSQL - renders ``x ~ y`` or ``x !~ y`` when negated.
* Oracle - renders ``REGEXP_LIKE(x, y)``
* SQLite - uses SQLite's ``REGEXP`` placeholder operator and calls into
the Python ``re.match()`` builtin.
* other backends may provide special implementations.
* Backends without any special implementation will emit
the operator as "REGEXP" or "NOT REGEXP". This is compatible with
SQLite and MySQL, for example.
Regular expression support is currently implemented for Oracle,
PostgreSQL, MySQL and MariaDB. Partial support is available for
SQLite. Support among third-party dialects may vary.
:param pattern: The regular expression pattern string or column
clause.
:param flags: Any regular expression string flags to apply, passed as
plain Python string only. These flags are backend specific.
Some backends, like PostgreSQL and MariaDB, may alternatively
specify the flags as part of the pattern.
When using the ignore case flag 'i' in PostgreSQL, the ignore case
regexp match operator ``~*`` or ``!~*`` will be used.
.. versionadded:: 1.4
.. versionchanged:: 1.4.48, 2.0.18 Note that due to an implementation
error, the "flags" parameter previously accepted SQL expression
objects such as column expressions in addition to plain Python
strings. This implementation did not work correctly with caching
and was removed; strings only should be passed for the "flags"
parameter, as these flags are rendered as literal inline values
within SQL expressions.
.. seealso::
:meth:`_sql.ColumnOperators.regexp_replace`
"""
return self.operate(regexp_match_op, pattern, flags=flags)
| (self, pattern: Any, flags: Optional[str] = None) -> sqlalchemy.sql.operators.ColumnOperators | [
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] |
16,127 | sqlalchemy.sql.operators | regexp_replace | Implements a database-specific 'regexp replace' operator.
E.g.::
stmt = select(
table.c.some_column.regexp_replace(
'b(..)',
'XY',
flags='g'
)
)
:meth:`_sql.ColumnOperators.regexp_replace` attempts to resolve to
a REGEXP_REPLACE-like function provided by the backend, that
usually emit the function ``REGEXP_REPLACE()``. However,
the specific regular expression syntax and flags available are
**not backend agnostic**.
Regular expression replacement support is currently implemented for
Oracle, PostgreSQL, MySQL 8 or greater and MariaDB. Support among
third-party dialects may vary.
:param pattern: The regular expression pattern string or column
clause.
:param pattern: The replacement string or column clause.
:param flags: Any regular expression string flags to apply, passed as
plain Python string only. These flags are backend specific.
Some backends, like PostgreSQL and MariaDB, may alternatively
specify the flags as part of the pattern.
.. versionadded:: 1.4
.. versionchanged:: 1.4.48, 2.0.18 Note that due to an implementation
error, the "flags" parameter previously accepted SQL expression
objects such as column expressions in addition to plain Python
strings. This implementation did not work correctly with caching
and was removed; strings only should be passed for the "flags"
parameter, as these flags are rendered as literal inline values
within SQL expressions.
.. seealso::
:meth:`_sql.ColumnOperators.regexp_match`
| def regexp_replace(
self, pattern: Any, replacement: Any, flags: Optional[str] = None
) -> ColumnOperators:
"""Implements a database-specific 'regexp replace' operator.
E.g.::
stmt = select(
table.c.some_column.regexp_replace(
'b(..)',
'X\1Y',
flags='g'
)
)
:meth:`_sql.ColumnOperators.regexp_replace` attempts to resolve to
a REGEXP_REPLACE-like function provided by the backend, that
usually emit the function ``REGEXP_REPLACE()``. However,
the specific regular expression syntax and flags available are
**not backend agnostic**.
Regular expression replacement support is currently implemented for
Oracle, PostgreSQL, MySQL 8 or greater and MariaDB. Support among
third-party dialects may vary.
:param pattern: The regular expression pattern string or column
clause.
:param pattern: The replacement string or column clause.
:param flags: Any regular expression string flags to apply, passed as
plain Python string only. These flags are backend specific.
Some backends, like PostgreSQL and MariaDB, may alternatively
specify the flags as part of the pattern.
.. versionadded:: 1.4
.. versionchanged:: 1.4.48, 2.0.18 Note that due to an implementation
error, the "flags" parameter previously accepted SQL expression
objects such as column expressions in addition to plain Python
strings. This implementation did not work correctly with caching
and was removed; strings only should be passed for the "flags"
parameter, as these flags are rendered as literal inline values
within SQL expressions.
.. seealso::
:meth:`_sql.ColumnOperators.regexp_match`
"""
return self.operate(
regexp_replace_op,
pattern,
replacement=replacement,
flags=flags,
)
| (self, pattern: Any, replacement: Any, flags: Optional[str] = None) -> sqlalchemy.sql.operators.ColumnOperators | [
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] |
16,128 | sqlalchemy.sql.selectable | replace_selectable | Replace all occurrences of :class:`_expression.FromClause`
'old' with the given :class:`_expression.Alias`
object, returning a copy of this :class:`_expression.FromClause`.
.. deprecated:: 1.4 The :meth:`.Selectable.replace_selectable` method is deprecated, and will be removed in a future release. Similar functionality is available via the sqlalchemy.sql.visitors module.
| # sql/selectable.py
# Copyright (C) 2005-2024 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: https://www.opensource.org/licenses/mit-license.php
"""The :class:`_expression.FromClause` class of SQL expression elements,
representing
SQL tables and derived rowsets.
"""
from __future__ import annotations
import collections
from enum import Enum
import itertools
from typing import AbstractSet
from typing import Any as TODO_Any
from typing import Any
from typing import Callable
from typing import cast
from typing import Dict
from typing import Generic
from typing import Iterable
from typing import Iterator
from typing import List
from typing import NamedTuple
from typing import NoReturn
from typing import Optional
from typing import overload
from typing import Sequence
from typing import Set
from typing import Tuple
from typing import Type
from typing import TYPE_CHECKING
from typing import TypeVar
from typing import Union
from . import cache_key
from . import coercions
from . import operators
from . import roles
from . import traversals
from . import type_api
from . import visitors
from ._typing import _ColumnsClauseArgument
from ._typing import _no_kw
from ._typing import _TP
from ._typing import is_column_element
from ._typing import is_select_statement
from ._typing import is_subquery
from ._typing import is_table
from ._typing import is_text_clause
from .annotation import Annotated
from .annotation import SupportsCloneAnnotations
from .base import _clone
from .base import _cloned_difference
from .base import _cloned_intersection
from .base import _entity_namespace_key
from .base import _EntityNamespace
from .base import _expand_cloned
from .base import _from_objects
from .base import _generative
from .base import _never_select_column
from .base import _NoArg
from .base import _select_iterables
from .base import CacheableOptions
from .base import ColumnCollection
from .base import ColumnSet
from .base import CompileState
from .base import DedupeColumnCollection
from .base import Executable
from .base import Generative
from .base import HasCompileState
from .base import HasMemoized
from .base import Immutable
from .coercions import _document_text_coercion
from .elements import _anonymous_label
from .elements import BindParameter
from .elements import BooleanClauseList
from .elements import ClauseElement
from .elements import ClauseList
from .elements import ColumnClause
from .elements import ColumnElement
from .elements import DQLDMLClauseElement
from .elements import GroupedElement
from .elements import literal_column
from .elements import TableValuedColumn
from .elements import UnaryExpression
from .operators import OperatorType
from .sqltypes import NULLTYPE
from .visitors import _TraverseInternalsType
from .visitors import InternalTraversal
from .visitors import prefix_anon_map
from .. import exc
from .. import util
from ..util import HasMemoized_ro_memoized_attribute
from ..util.typing import Literal
from ..util.typing import Protocol
from ..util.typing import Self
and_ = BooleanClauseList.and_
_T = TypeVar("_T", bound=Any)
if TYPE_CHECKING:
from ._typing import _ColumnExpressionArgument
from ._typing import _ColumnExpressionOrStrLabelArgument
from ._typing import _FromClauseArgument
from ._typing import _JoinTargetArgument
from ._typing import _LimitOffsetType
from ._typing import _MAYBE_ENTITY
from ._typing import _NOT_ENTITY
from ._typing import _OnClauseArgument
from ._typing import _SelectStatementForCompoundArgument
from ._typing import _T0
from ._typing import _T1
from ._typing import _T2
from ._typing import _T3
from ._typing import _T4
from ._typing import _T5
from ._typing import _T6
from ._typing import _T7
from ._typing import _TextCoercedExpressionArgument
from ._typing import _TypedColumnClauseArgument as _TCCA
from ._typing import _TypeEngineArgument
from .base import _AmbiguousTableNameMap
from .base import ExecutableOption
from .base import ReadOnlyColumnCollection
from .cache_key import _CacheKeyTraversalType
from .compiler import SQLCompiler
from .dml import Delete
from .dml import Update
from .elements import BinaryExpression
from .elements import KeyedColumnElement
from .elements import Label
from .elements import NamedColumn
from .elements import TextClause
from .functions import Function
from .schema import ForeignKey
from .schema import ForeignKeyConstraint
from .sqltypes import TableValueType
from .type_api import TypeEngine
from .visitors import _CloneCallableType
_ColumnsClauseElement = Union["FromClause", ColumnElement[Any], "TextClause"]
_LabelConventionCallable = Callable[
[Union["ColumnElement[Any]", "TextClause"]], Optional[str]
]
class _JoinTargetProtocol(Protocol):
@util.ro_non_memoized_property
def _from_objects(self) -> List[FromClause]: ...
@util.ro_non_memoized_property
def entity_namespace(self) -> _EntityNamespace: ...
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16,129 | sqlalchemy.sql.elements | reverse_operate | null | def reverse_operate(
self, op: operators.OperatorType, other: Any, **kwargs: Any
) -> ColumnElement[Any]:
return op(other, self.comparator, **kwargs) # type: ignore[no-any-return] # noqa: E501
| (self, op: sqlalchemy.sql.operators.OperatorType, other: Any, **kwargs: Any) -> sqlalchemy.sql.elements.ColumnElement[typing.Any] | [
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] |
16,130 | sqlalchemy.sql.functions | scalar_table_valued | Return a column expression that's against this
:class:`_functions.FunctionElement` as a scalar
table-valued expression.
The returned expression is similar to that returned by a single column
accessed off of a :meth:`_functions.FunctionElement.table_valued`
construct, except no FROM clause is generated; the function is rendered
in the similar way as a scalar subquery.
E.g.:
.. sourcecode:: pycon+sql
>>> from sqlalchemy import func, select
>>> fn = func.jsonb_each("{'k', 'v'}").scalar_table_valued("key")
>>> print(select(fn))
{printsql}SELECT (jsonb_each(:jsonb_each_1)).key
.. versionadded:: 1.4.0b2
.. seealso::
:meth:`_functions.FunctionElement.table_valued`
:meth:`_functions.FunctionElement.alias`
:meth:`_functions.FunctionElement.column_valued`
| def scalar_table_valued(
self, name: str, type_: Optional[_TypeEngineArgument[_T]] = None
) -> ScalarFunctionColumn[_T]:
"""Return a column expression that's against this
:class:`_functions.FunctionElement` as a scalar
table-valued expression.
The returned expression is similar to that returned by a single column
accessed off of a :meth:`_functions.FunctionElement.table_valued`
construct, except no FROM clause is generated; the function is rendered
in the similar way as a scalar subquery.
E.g.:
.. sourcecode:: pycon+sql
>>> from sqlalchemy import func, select
>>> fn = func.jsonb_each("{'k', 'v'}").scalar_table_valued("key")
>>> print(select(fn))
{printsql}SELECT (jsonb_each(:jsonb_each_1)).key
.. versionadded:: 1.4.0b2
.. seealso::
:meth:`_functions.FunctionElement.table_valued`
:meth:`_functions.FunctionElement.alias`
:meth:`_functions.FunctionElement.column_valued`
""" # noqa: E501
return ScalarFunctionColumn(self, name, type_)
| (self, name: 'str', type_: 'Optional[_TypeEngineArgument[_T]]' = None) -> 'ScalarFunctionColumn[_T]' | [
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16,131 | sqlalchemy.sql.functions | select | Produce a :func:`_expression.select` construct
against this :class:`.FunctionElement`.
This is shorthand for::
s = select(function_element)
| def select(self) -> Select[Tuple[_T]]:
"""Produce a :func:`_expression.select` construct
against this :class:`.FunctionElement`.
This is shorthand for::
s = select(function_element)
"""
s: Select[Any] = Select(self)
if self._execution_options:
s = s.execution_options(**self._execution_options)
return s
| (self) -> sqlalchemy.sql.selectable.Select | [
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16,132 | sqlalchemy.sql.functions | self_group | null | def self_group(self, against: Optional[OperatorType] = None) -> ClauseElement: # type: ignore[override] # noqa E501
# for the moment, we are parenthesizing all array-returning
# expressions against getitem. This may need to be made
# more portable if in the future we support other DBs
# besides postgresql.
if against is operators.getitem and isinstance(
self.type, sqltypes.ARRAY
):
return Grouping(self)
else:
return super().self_group(against=against)
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16,133 | sqlalchemy.sql.elements | shares_lineage | Return True if the given :class:`_expression.ColumnElement`
has a common ancestor to this :class:`_expression.ColumnElement`. | def shares_lineage(self, othercolumn: ColumnElement[Any]) -> bool:
"""Return True if the given :class:`_expression.ColumnElement`
has a common ancestor to this :class:`_expression.ColumnElement`."""
return bool(self.proxy_set.intersection(othercolumn.proxy_set))
| (self, othercolumn: sqlalchemy.sql.elements.ColumnElement[typing.Any]) -> bool | [
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16,134 | sqlalchemy.sql.operators | startswith | Implement the ``startswith`` operator.
Produces a LIKE expression that tests against a match for the start
of a string value::
column LIKE <other> || '%'
E.g.::
stmt = select(sometable).\
where(sometable.c.column.startswith("foobar"))
Since the operator uses ``LIKE``, wildcard characters
``"%"`` and ``"_"`` that are present inside the <other> expression
will behave like wildcards as well. For literal string
values, the :paramref:`.ColumnOperators.startswith.autoescape` flag
may be set to ``True`` to apply escaping to occurrences of these
characters within the string value so that they match as themselves
and not as wildcard characters. Alternatively, the
:paramref:`.ColumnOperators.startswith.escape` parameter will establish
a given character as an escape character which can be of use when
the target expression is not a literal string.
:param other: expression to be compared. This is usually a plain
string value, but can also be an arbitrary SQL expression. LIKE
wildcard characters ``%`` and ``_`` are not escaped by default unless
the :paramref:`.ColumnOperators.startswith.autoescape` flag is
set to True.
:param autoescape: boolean; when True, establishes an escape character
within the LIKE expression, then applies it to all occurrences of
``"%"``, ``"_"`` and the escape character itself within the
comparison value, which is assumed to be a literal string and not a
SQL expression.
An expression such as::
somecolumn.startswith("foo%bar", autoescape=True)
Will render as::
somecolumn LIKE :param || '%' ESCAPE '/'
With the value of ``:param`` as ``"foo/%bar"``.
:param escape: a character which when given will render with the
``ESCAPE`` keyword to establish that character as the escape
character. This character can then be placed preceding occurrences
of ``%`` and ``_`` to allow them to act as themselves and not
wildcard characters.
An expression such as::
somecolumn.startswith("foo/%bar", escape="^")
Will render as::
somecolumn LIKE :param || '%' ESCAPE '^'
The parameter may also be combined with
:paramref:`.ColumnOperators.startswith.autoescape`::
somecolumn.startswith("foo%bar^bat", escape="^", autoescape=True)
Where above, the given literal parameter will be converted to
``"foo^%bar^^bat"`` before being passed to the database.
.. seealso::
:meth:`.ColumnOperators.endswith`
:meth:`.ColumnOperators.contains`
:meth:`.ColumnOperators.like`
| def startswith(
self,
other: Any,
escape: Optional[str] = None,
autoescape: bool = False,
) -> ColumnOperators:
r"""Implement the ``startswith`` operator.
Produces a LIKE expression that tests against a match for the start
of a string value::
column LIKE <other> || '%'
E.g.::
stmt = select(sometable).\
where(sometable.c.column.startswith("foobar"))
Since the operator uses ``LIKE``, wildcard characters
``"%"`` and ``"_"`` that are present inside the <other> expression
will behave like wildcards as well. For literal string
values, the :paramref:`.ColumnOperators.startswith.autoescape` flag
may be set to ``True`` to apply escaping to occurrences of these
characters within the string value so that they match as themselves
and not as wildcard characters. Alternatively, the
:paramref:`.ColumnOperators.startswith.escape` parameter will establish
a given character as an escape character which can be of use when
the target expression is not a literal string.
:param other: expression to be compared. This is usually a plain
string value, but can also be an arbitrary SQL expression. LIKE
wildcard characters ``%`` and ``_`` are not escaped by default unless
the :paramref:`.ColumnOperators.startswith.autoescape` flag is
set to True.
:param autoescape: boolean; when True, establishes an escape character
within the LIKE expression, then applies it to all occurrences of
``"%"``, ``"_"`` and the escape character itself within the
comparison value, which is assumed to be a literal string and not a
SQL expression.
An expression such as::
somecolumn.startswith("foo%bar", autoescape=True)
Will render as::
somecolumn LIKE :param || '%' ESCAPE '/'
With the value of ``:param`` as ``"foo/%bar"``.
:param escape: a character which when given will render with the
``ESCAPE`` keyword to establish that character as the escape
character. This character can then be placed preceding occurrences
of ``%`` and ``_`` to allow them to act as themselves and not
wildcard characters.
An expression such as::
somecolumn.startswith("foo/%bar", escape="^")
Will render as::
somecolumn LIKE :param || '%' ESCAPE '^'
The parameter may also be combined with
:paramref:`.ColumnOperators.startswith.autoescape`::
somecolumn.startswith("foo%bar^bat", escape="^", autoescape=True)
Where above, the given literal parameter will be converted to
``"foo^%bar^^bat"`` before being passed to the database.
.. seealso::
:meth:`.ColumnOperators.endswith`
:meth:`.ColumnOperators.contains`
:meth:`.ColumnOperators.like`
"""
return self.operate(
startswith_op, other, escape=escape, autoescape=autoescape
)
| (self, other: Any, escape: Optional[str] = None, autoescape: bool = False) -> sqlalchemy.sql.operators.ColumnOperators | [
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16,135 | sqlalchemy.sql.functions | table_valued | Return a :class:`_sql.TableValuedAlias` representation of this
:class:`_functions.FunctionElement` with table-valued expressions added.
e.g.:
.. sourcecode:: pycon+sql
>>> fn = (
... func.generate_series(1, 5).
... table_valued("value", "start", "stop", "step")
... )
>>> print(select(fn))
{printsql}SELECT anon_1.value, anon_1.start, anon_1.stop, anon_1.step
FROM generate_series(:generate_series_1, :generate_series_2) AS anon_1{stop}
>>> print(select(fn.c.value, fn.c.stop).where(fn.c.value > 2))
{printsql}SELECT anon_1.value, anon_1.stop
FROM generate_series(:generate_series_1, :generate_series_2) AS anon_1
WHERE anon_1.value > :value_1{stop}
A WITH ORDINALITY expression may be generated by passing the keyword
argument "with_ordinality":
.. sourcecode:: pycon+sql
>>> fn = func.generate_series(4, 1, -1).table_valued("gen", with_ordinality="ordinality")
>>> print(select(fn))
{printsql}SELECT anon_1.gen, anon_1.ordinality
FROM generate_series(:generate_series_1, :generate_series_2, :generate_series_3) WITH ORDINALITY AS anon_1
:param \*expr: A series of string column names that will be added to the
``.c`` collection of the resulting :class:`_sql.TableValuedAlias`
construct as columns. :func:`_sql.column` objects with or without
datatypes may also be used.
:param name: optional name to assign to the alias name that's generated.
If omitted, a unique anonymizing name is used.
:param with_ordinality: string name that when present results in the
``WITH ORDINALITY`` clause being added to the alias, and the given
string name will be added as a column to the .c collection
of the resulting :class:`_sql.TableValuedAlias`.
:param joins_implicitly: when True, the table valued function may be
used in the FROM clause without any explicit JOIN to other tables
in the SQL query, and no "cartesian product" warning will be generated.
May be useful for SQL functions such as ``func.json_each()``.
.. versionadded:: 1.4.33
.. versionadded:: 1.4.0b2
.. seealso::
:ref:`tutorial_functions_table_valued` - in the :ref:`unified_tutorial`
:ref:`postgresql_table_valued` - in the :ref:`postgresql_toplevel` documentation
:meth:`_functions.FunctionElement.scalar_table_valued` - variant of
:meth:`_functions.FunctionElement.table_valued` which delivers the
complete table valued expression as a scalar column expression
:meth:`_functions.FunctionElement.column_valued`
:meth:`_sql.TableValuedAlias.render_derived` - renders the alias
using a derived column clause, e.g. ``AS name(col1, col2, ...)``
| def table_valued(
self, *expr: _ColumnExpressionOrStrLabelArgument[Any], **kw: Any
) -> TableValuedAlias:
r"""Return a :class:`_sql.TableValuedAlias` representation of this
:class:`_functions.FunctionElement` with table-valued expressions added.
e.g.:
.. sourcecode:: pycon+sql
>>> fn = (
... func.generate_series(1, 5).
... table_valued("value", "start", "stop", "step")
... )
>>> print(select(fn))
{printsql}SELECT anon_1.value, anon_1.start, anon_1.stop, anon_1.step
FROM generate_series(:generate_series_1, :generate_series_2) AS anon_1{stop}
>>> print(select(fn.c.value, fn.c.stop).where(fn.c.value > 2))
{printsql}SELECT anon_1.value, anon_1.stop
FROM generate_series(:generate_series_1, :generate_series_2) AS anon_1
WHERE anon_1.value > :value_1{stop}
A WITH ORDINALITY expression may be generated by passing the keyword
argument "with_ordinality":
.. sourcecode:: pycon+sql
>>> fn = func.generate_series(4, 1, -1).table_valued("gen", with_ordinality="ordinality")
>>> print(select(fn))
{printsql}SELECT anon_1.gen, anon_1.ordinality
FROM generate_series(:generate_series_1, :generate_series_2, :generate_series_3) WITH ORDINALITY AS anon_1
:param \*expr: A series of string column names that will be added to the
``.c`` collection of the resulting :class:`_sql.TableValuedAlias`
construct as columns. :func:`_sql.column` objects with or without
datatypes may also be used.
:param name: optional name to assign to the alias name that's generated.
If omitted, a unique anonymizing name is used.
:param with_ordinality: string name that when present results in the
``WITH ORDINALITY`` clause being added to the alias, and the given
string name will be added as a column to the .c collection
of the resulting :class:`_sql.TableValuedAlias`.
:param joins_implicitly: when True, the table valued function may be
used in the FROM clause without any explicit JOIN to other tables
in the SQL query, and no "cartesian product" warning will be generated.
May be useful for SQL functions such as ``func.json_each()``.
.. versionadded:: 1.4.33
.. versionadded:: 1.4.0b2
.. seealso::
:ref:`tutorial_functions_table_valued` - in the :ref:`unified_tutorial`
:ref:`postgresql_table_valued` - in the :ref:`postgresql_toplevel` documentation
:meth:`_functions.FunctionElement.scalar_table_valued` - variant of
:meth:`_functions.FunctionElement.table_valued` which delivers the
complete table valued expression as a scalar column expression
:meth:`_functions.FunctionElement.column_valued`
:meth:`_sql.TableValuedAlias.render_derived` - renders the alias
using a derived column clause, e.g. ``AS name(col1, col2, ...)``
""" # noqa: 501
new_func = self._generate()
with_ordinality = kw.pop("with_ordinality", None)
joins_implicitly = kw.pop("joins_implicitly", None)
name = kw.pop("name", None)
if with_ordinality:
expr += (with_ordinality,)
new_func._with_ordinality = True
new_func.type = new_func._table_value_type = TableValueType(*expr)
return new_func.alias(name=name, joins_implicitly=joins_implicitly)
| (self, *expr: '_ColumnExpressionOrStrLabelArgument[Any]', **kw: 'Any') -> 'TableValuedAlias' | [
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16,136 | sqlalchemy.sql.selectable | tablesample | Return a TABLESAMPLE alias of this :class:`_expression.FromClause`.
The return value is the :class:`_expression.TableSample`
construct also
provided by the top-level :func:`_expression.tablesample` function.
.. seealso::
:func:`_expression.tablesample` - usage guidelines and parameters
| def tablesample(
self,
sampling: Union[float, Function[Any]],
name: Optional[str] = None,
seed: Optional[roles.ExpressionElementRole[Any]] = None,
) -> TableSample:
"""Return a TABLESAMPLE alias of this :class:`_expression.FromClause`.
The return value is the :class:`_expression.TableSample`
construct also
provided by the top-level :func:`_expression.tablesample` function.
.. seealso::
:func:`_expression.tablesample` - usage guidelines and parameters
"""
return TableSample._construct(
self, sampling=sampling, name=name, seed=seed
)
| (self, sampling: 'Union[float, Function[Any]]', name: 'Optional[str]' = None, seed: 'Optional[roles.ExpressionElementRole[Any]]' = None) -> 'TableSample' | [
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16,137 | sqlalchemy.sql.elements | unique_params | Return a copy with :func:`_expression.bindparam` elements
replaced.
Same functionality as :meth:`_expression.ClauseElement.params`,
except adds `unique=True`
to affected bind parameters so that multiple statements can be
used.
| def unique_params(
self,
__optionaldict: Optional[Dict[str, Any]] = None,
**kwargs: Any,
) -> Self:
"""Return a copy with :func:`_expression.bindparam` elements
replaced.
Same functionality as :meth:`_expression.ClauseElement.params`,
except adds `unique=True`
to affected bind parameters so that multiple statements can be
used.
"""
return self._replace_params(True, __optionaldict, kwargs)
| (self, _ClauseElement__optionaldict: Optional[Dict[str, Any]] = None, **kwargs: Any) -> typing_extensions.Self | [
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16,138 | sqlalchemy.sql.functions | within_group | Produce a WITHIN GROUP (ORDER BY expr) clause against this function.
Used against so-called "ordered set aggregate" and "hypothetical
set aggregate" functions, including :class:`.percentile_cont`,
:class:`.rank`, :class:`.dense_rank`, etc.
See :func:`_expression.within_group` for a full description.
.. seealso::
:ref:`tutorial_functions_within_group` -
in the :ref:`unified_tutorial`
| def within_group(
self, *order_by: _ColumnExpressionArgument[Any]
) -> WithinGroup[_T]:
"""Produce a WITHIN GROUP (ORDER BY expr) clause against this function.
Used against so-called "ordered set aggregate" and "hypothetical
set aggregate" functions, including :class:`.percentile_cont`,
:class:`.rank`, :class:`.dense_rank`, etc.
See :func:`_expression.within_group` for a full description.
.. seealso::
:ref:`tutorial_functions_within_group` -
in the :ref:`unified_tutorial`
"""
return WithinGroup(self, *order_by)
| (self, *order_by: '_ColumnExpressionArgument[Any]') -> 'WithinGroup[_T]' | [
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16,139 | sqlalchemy.sql.functions | within_group_type | For types that define their return type as based on the criteria
within a WITHIN GROUP (ORDER BY) expression, called by the
:class:`.WithinGroup` construct.
Returns None by default, in which case the function's normal ``.type``
is used.
| def within_group_type(
self, within_group: WithinGroup[_S]
) -> Optional[TypeEngine[_S]]:
"""For types that define their return type as based on the criteria
within a WITHIN GROUP (ORDER BY) expression, called by the
:class:`.WithinGroup` construct.
Returns None by default, in which case the function's normal ``.type``
is used.
"""
return None
| (self, within_group: sqlalchemy.sql.elements.WithinGroup[~_S]) -> Optional[sqlalchemy.sql.type_api.TypeEngine] | [
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16,142 | spectral_sdk.abis | load_abis | null | def load_abis():
d = {}
# Directory containing all the ABI files (change this to your specific path)
dir_path = "/Users/maciej/dev/spectral/spectral-ai-sdk/spectral_sdk/abis"
for root, dirs, files in os.walk(dir_path):
for file in files:
if file.endswith(".json"):
full_file_path = os.path.join(root, file)
abi_dict = load_abi(full_file_path)
contract_name, _ = os.path.splitext(file)
d[contract_name] = abi_dict
return d
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0.009538982063531876,
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] |
16,144 | synchronicity.interface | Interface | An enumeration. | class Interface(enum.Enum):
BLOCKING = enum.auto()
ASYNC = enum.auto()
# temporary internal type until we deprecate the old ASYNC type,
# used for `function.aio` async callables accepting/returning BLOCKING types
_ASYNC_WITH_BLOCKING_TYPES = enum.auto()
AUTODETECT = enum.auto() # DEPRECATED
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16,145 | synchronicity.synchronizer | Synchronizer | Helps you offer a blocking (synchronous) interface to asynchronous code. | class Synchronizer:
"""Helps you offer a blocking (synchronous) interface to asynchronous code."""
def __init__(
self,
multiwrap_warning=False,
async_leakage_warning=True,
):
self._multiwrap_warning = multiwrap_warning
self._async_leakage_warning = async_leakage_warning
self._loop = None
self._loop_creation_lock = threading.Lock()
self._thread = None
self._stopping = None
if platform.system() == "Windows":
# default event loop policy on windows spits out errors when
# closing the event loop, so use WindowsSelectorEventLoopPolicy instead
# https://stackoverflow.com/questions/45600579/asyncio-event-loop-is-closed-when-getting-loop
asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
# Special attribute we use to go from wrapped <-> original
self._wrapped_attr = "_sync_wrapped_%d" % id(self)
self._original_attr = "_sync_original_%d" % id(self)
# Special attribute to mark something as non-wrappable
self._nowrap_attr = "_sync_nonwrap_%d" % id(self)
self._input_translation_attr = "_sync_input_translation_%d" % id(self)
self._output_translation_attr = "_sync_output_translation_%d" % id(self)
# Prep a synchronized context manager in case one is returned and needs translation
self._ctx_mgr_cls = contextlib._AsyncGeneratorContextManager
self.create_async(self._ctx_mgr_cls)
self.create_blocking(self._ctx_mgr_cls)
atexit.register(self._close_loop)
_PICKLE_ATTRS = [
"_multiwrap_warning",
"_async_leakage_warning",
]
def __getstate__(self):
return dict([(attr, getattr(self, attr)) for attr in self._PICKLE_ATTRS])
def __setstate__(self, d):
for attr in self._PICKLE_ATTRS:
setattr(self, attr, d[attr])
def _start_loop(self):
with self._loop_creation_lock:
if self._loop and self._loop.is_running():
return self._loop
is_ready = threading.Event()
def thread_inner():
async def loop_inner():
self._loop = asyncio.get_running_loop()
self._stopping = asyncio.Event()
is_ready.set()
await self._stopping.wait() # wait until told to stop
try:
asyncio.run(loop_inner())
except RuntimeError as exc:
# Python 3.12 raises a RuntimeError when new threads are created at shutdown.
# Swallowing it here is innocuous, but ideally we will revisit this after
# refactoring the shutdown handlers that modal uses to avoid triggering it.
if "can't create new thread at interpreter shutdown" not in str(exc):
raise exc
self._thread = threading.Thread(target=thread_inner, daemon=True)
self._thread.start()
is_ready.wait() # TODO: this might block for a very short time
return self._loop
def _close_loop(self):
if self._thread is not None:
if not self._loop.is_closed():
# This also serves the purpose of waking up an idle loop
self._loop.call_soon_threadsafe(self._stopping.set)
self._thread.join()
self._thread = None
def _get_loop(self, start=False):
if self._loop is None and start:
return self._start_loop()
return self._loop
def _get_running_loop(self):
# TODO: delete this method
try:
return asyncio.get_running_loop()
except RuntimeError:
return
def _is_inside_loop(self):
loop = self._get_loop()
if loop is None:
return False
if threading.current_thread() != self._thread:
# gevent does something bad that causes asyncio.get_running_loop() to return self._loop
return False
current_loop = self._get_running_loop()
return loop == current_loop
def _wrap_check_async_leakage(self, coro):
"""Check if a coroutine returns another coroutine (or an async generator) and warn.
The reason this is important to catch is that otherwise even synchronized code might end up
"leaking" async code into the caller.
"""
if not self._async_leakage_warning:
return coro
async def coro_wrapped():
value = await coro
# TODO: we should include the name of the original function here
if inspect.iscoroutine(value):
warnings.warn(f"Potential async leakage: coroutine returned a coroutine {value}.")
elif inspect.isasyncgen(value):
warnings.warn(f"Potential async leakage: Coroutine returned an async generator {value}.")
return value
return coro_wrapped()
def _wrap_instance(self, obj, interface):
# Takes an object and creates a new proxy object for it
cls = obj.__class__
cls_dct = cls.__dict__
interfaces = cls_dct[self._wrapped_attr]
if interface not in interfaces:
raise RuntimeError(f"Class {cls} has not synchronized {interface}.")
interface_cls = interfaces[interface]
new_obj = interface_cls.__new__(interface_cls)
# Store a reference to the original object
new_obj.__dict__[self._original_attr] = obj
new_obj.__dict__[SYNCHRONIZER_ATTR] = self
new_obj.__dict__[TARGET_INTERFACE_ATTR] = interface
return new_obj
def _translate_scalar_in(self, obj):
# If it's an external object, translate it to the internal type
if hasattr(obj, "__dict__"):
if inspect.isclass(obj): # TODO: functions?
return obj.__dict__.get(self._original_attr, obj)
else:
return obj.__dict__.get(self._original_attr, obj)
else:
return obj
def _translate_scalar_out(self, obj, interface):
if interface == Interface._ASYNC_WITH_BLOCKING_TYPES:
interface = Interface.BLOCKING
# If it's an internal object, translate it to the external interface
if inspect.isclass(obj): # TODO: functions?
cls_dct = obj.__dict__
if self._wrapped_attr in cls_dct:
return cls_dct[self._wrapped_attr][interface]
else:
return obj
elif isinstance(obj, typing.TypeVar):
if hasattr(obj, self._wrapped_attr):
return getattr(obj, self._wrapped_attr)[interface]
else:
return obj
else:
cls_dct = obj.__class__.__dict__
if self._wrapped_attr in cls_dct:
# This is an *instance* of a synchronized class, translate its type
return self._wrap(obj, interface)
else:
return obj
def _recurse_map(self, mapper, obj):
if type(obj) == list: # noqa: E721
return list(self._recurse_map(mapper, item) for item in obj)
elif type(obj) == tuple: # noqa: E721
return tuple(self._recurse_map(mapper, item) for item in obj)
elif type(obj) == dict: # noqa: E721
return dict((key, self._recurse_map(mapper, item)) for key, item in obj.items())
else:
return mapper(obj)
def _translate_in(self, obj):
return self._recurse_map(self._translate_scalar_in, obj)
def _translate_out(self, obj, interface):
return self._recurse_map(lambda scalar: self._translate_scalar_out(scalar, interface), obj)
def _translate_coro_out(self, coro, interface, original_func):
async def unwrap_coro():
res = await coro
if getattr(original_func, self._output_translation_attr, True):
return self._translate_out(res, interface)
return res
return unwrap_coro()
def _run_function_sync(self, coro, interface, original_func):
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16,146 | synchronicity.synchronizer | __getstate__ | null | def __getstate__(self):
return dict([(attr, getattr(self, attr)) for attr in self._PICKLE_ATTRS])
| (self) | [
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] |
16,147 | synchronicity.synchronizer | __init__ | null | def __init__(
self,
multiwrap_warning=False,
async_leakage_warning=True,
):
self._multiwrap_warning = multiwrap_warning
self._async_leakage_warning = async_leakage_warning
self._loop = None
self._loop_creation_lock = threading.Lock()
self._thread = None
self._stopping = None
if platform.system() == "Windows":
# default event loop policy on windows spits out errors when
# closing the event loop, so use WindowsSelectorEventLoopPolicy instead
# https://stackoverflow.com/questions/45600579/asyncio-event-loop-is-closed-when-getting-loop
asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
# Special attribute we use to go from wrapped <-> original
self._wrapped_attr = "_sync_wrapped_%d" % id(self)
self._original_attr = "_sync_original_%d" % id(self)
# Special attribute to mark something as non-wrappable
self._nowrap_attr = "_sync_nonwrap_%d" % id(self)
self._input_translation_attr = "_sync_input_translation_%d" % id(self)
self._output_translation_attr = "_sync_output_translation_%d" % id(self)
# Prep a synchronized context manager in case one is returned and needs translation
self._ctx_mgr_cls = contextlib._AsyncGeneratorContextManager
self.create_async(self._ctx_mgr_cls)
self.create_blocking(self._ctx_mgr_cls)
atexit.register(self._close_loop)
| (self, multiwrap_warning=False, async_leakage_warning=True) | [
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16,148 | synchronicity.synchronizer | __setstate__ | null | def __setstate__(self, d):
for attr in self._PICKLE_ATTRS:
setattr(self, attr, d[attr])
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16,149 | synchronicity.synchronizer | _close_loop | null | def _close_loop(self):
if self._thread is not None:
if not self._loop.is_closed():
# This also serves the purpose of waking up an idle loop
self._loop.call_soon_threadsafe(self._stopping.set)
self._thread.join()
self._thread = None
| (self) | [
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16,150 | synchronicity.synchronizer | _get_loop | null | def _get_loop(self, start=False):
if self._loop is None and start:
return self._start_loop()
return self._loop
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16,151 | synchronicity.synchronizer | _get_running_loop | null | def _get_running_loop(self):
# TODO: delete this method
try:
return asyncio.get_running_loop()
except RuntimeError:
return
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16,152 | synchronicity.synchronizer | _is_inside_loop | null | def _is_inside_loop(self):
loop = self._get_loop()
if loop is None:
return False
if threading.current_thread() != self._thread:
# gevent does something bad that causes asyncio.get_running_loop() to return self._loop
return False
current_loop = self._get_running_loop()
return loop == current_loop
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16,153 | synchronicity.synchronizer | _recurse_map | null | def _recurse_map(self, mapper, obj):
if type(obj) == list: # noqa: E721
return list(self._recurse_map(mapper, item) for item in obj)
elif type(obj) == tuple: # noqa: E721
return tuple(self._recurse_map(mapper, item) for item in obj)
elif type(obj) == dict: # noqa: E721
return dict((key, self._recurse_map(mapper, item)) for key, item in obj.items())
else:
return mapper(obj)
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16,154 | synchronicity.synchronizer | _run_function_async | null | def _run_function_sync_future(self, coro, interface, original_func):
coro = wrap_coro_exception(coro)
coro = self._wrap_check_async_leakage(coro)
loop = self._get_loop(start=True)
# For futures, we unwrap the result at this point, not in f_wrapped
coro = unwrap_coro_exception(coro)
coro = self._translate_coro_out(coro, interface, original_func)
return asyncio.run_coroutine_threadsafe(coro, loop)
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16,155 | synchronicity.synchronizer | _run_function_sync | null | def _run_function_sync(self, coro, interface, original_func):
if self._is_inside_loop():
raise Exception("Deadlock detected: calling a sync function from the synchronizer loop")
coro = wrap_coro_exception(coro)
coro = self._wrap_check_async_leakage(coro)
loop = self._get_loop(start=True)
fut = asyncio.run_coroutine_threadsafe(coro, loop)
value = fut.result()
if getattr(original_func, self._output_translation_attr, True):
return self._translate_out(value, interface)
return value
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16,157 | synchronicity.synchronizer | _run_generator_async | null | def _run_generator_sync(self, gen, interface, original_func):
value, is_exc = None, False
while True:
try:
if is_exc:
value = self._run_function_sync(gen.athrow(value), interface, original_func)
else:
value = self._run_function_sync(gen.asend(value), interface, original_func)
except UserCodeException as uc_exc:
raise uc_exc.exc from None
except StopAsyncIteration:
break
try:
value = yield value
is_exc = False
except BaseException as exc:
value = exc
is_exc = True
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16,159 | synchronicity.synchronizer | _start_loop | null | def _start_loop(self):
with self._loop_creation_lock:
if self._loop and self._loop.is_running():
return self._loop
is_ready = threading.Event()
def thread_inner():
async def loop_inner():
self._loop = asyncio.get_running_loop()
self._stopping = asyncio.Event()
is_ready.set()
await self._stopping.wait() # wait until told to stop
try:
asyncio.run(loop_inner())
except RuntimeError as exc:
# Python 3.12 raises a RuntimeError when new threads are created at shutdown.
# Swallowing it here is innocuous, but ideally we will revisit this after
# refactoring the shutdown handlers that modal uses to avoid triggering it.
if "can't create new thread at interpreter shutdown" not in str(exc):
raise exc
self._thread = threading.Thread(target=thread_inner, daemon=True)
self._thread.start()
is_ready.wait() # TODO: this might block for a very short time
return self._loop
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16,160 | synchronicity.synchronizer | _translate_coro_out | null | def _translate_coro_out(self, coro, interface, original_func):
async def unwrap_coro():
res = await coro
if getattr(original_func, self._output_translation_attr, True):
return self._translate_out(res, interface)
return res
return unwrap_coro()
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16,161 | synchronicity.synchronizer | _translate_in | null | def _translate_in(self, obj):
return self._recurse_map(self._translate_scalar_in, obj)
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16,162 | synchronicity.synchronizer | _translate_out | null | def _translate_out(self, obj, interface):
return self._recurse_map(lambda scalar: self._translate_scalar_out(scalar, interface), obj)
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16,163 | synchronicity.synchronizer | _translate_scalar_in | null | def _translate_scalar_in(self, obj):
# If it's an external object, translate it to the internal type
if hasattr(obj, "__dict__"):
if inspect.isclass(obj): # TODO: functions?
return obj.__dict__.get(self._original_attr, obj)
else:
return obj.__dict__.get(self._original_attr, obj)
else:
return obj
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16,164 | synchronicity.synchronizer | _translate_scalar_out | null | def _translate_scalar_out(self, obj, interface):
if interface == Interface._ASYNC_WITH_BLOCKING_TYPES:
interface = Interface.BLOCKING
# If it's an internal object, translate it to the external interface
if inspect.isclass(obj): # TODO: functions?
cls_dct = obj.__dict__
if self._wrapped_attr in cls_dct:
return cls_dct[self._wrapped_attr][interface]
else:
return obj
elif isinstance(obj, typing.TypeVar):
if hasattr(obj, self._wrapped_attr):
return getattr(obj, self._wrapped_attr)[interface]
else:
return obj
else:
cls_dct = obj.__class__.__dict__
if self._wrapped_attr in cls_dct:
# This is an *instance* of a synchronized class, translate its type
return self._wrap(obj, interface)
else:
return obj
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16,165 | synchronicity.synchronizer | _update_wrapper | Very similar to functools.update_wrapper | def _update_wrapper(self, f_wrapped, f, name=None, interface=None, target_module=None):
"""Very similar to functools.update_wrapper"""
functools.update_wrapper(f_wrapped, f)
if name is not None:
f_wrapped.__name__ = name
f_wrapped.__qualname__ = name
if target_module is not None:
f_wrapped.__module__ = target_module
setattr(f_wrapped, SYNCHRONIZER_ATTR, self)
setattr(f_wrapped, TARGET_INTERFACE_ATTR, interface)
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] |
16,166 | synchronicity.synchronizer | _wrap | null | def _wrap(
self,
obj,
interface,
name=None,
require_already_wrapped=False,
target_module=None,
):
# This method works for classes, functions, and instances
# It wraps the object, and caches the wrapped object
# Get the list of existing interfaces
if hasattr(obj, "__dict__"):
if self._wrapped_attr not in obj.__dict__:
if isinstance(obj.__dict__, dict):
# This works for instances
obj.__dict__.setdefault(self._wrapped_attr, {})
else:
# This works for classes & functions
setattr(obj, self._wrapped_attr, {})
interfaces = obj.__dict__[self._wrapped_attr]
else:
# e.g., TypeVar in Python>=3.12
if not hasattr(obj, self._wrapped_attr):
setattr(obj, self._wrapped_attr, {})
interfaces = getattr(obj, self._wrapped_attr)
# If this is already wrapped, return the existing interface
if interface in interfaces:
if self._multiwrap_warning:
warnings.warn(f"Object {obj} is already wrapped, but getting wrapped again")
return interfaces[interface]
if require_already_wrapped:
# This happens if a class has a custom name but its base class doesn't
raise RuntimeError(f"{obj} needs to be serialized explicitly with a custom name")
# Wrap object (different cases based on the type)
if inspect.isclass(obj):
new_obj = self._wrap_class(
obj,
interface,
name,
target_module=target_module,
)
elif inspect.isfunction(obj):
new_obj = self._wrap_callable(obj, interface, name, target_module=target_module)
elif isinstance(obj, typing.TypeVar):
new_obj = self._wrap_type_var(obj, interface, name, target_module)
elif self._wrapped_attr in obj.__class__.__dict__:
new_obj = self._wrap_instance(obj, interface)
else:
raise Exception("Argument %s is not a class or a callable" % obj)
# Store the interface on the obj and return
interfaces[interface] = new_obj
return new_obj
| (self, obj, interface, name=None, require_already_wrapped=False, target_module=None) | [
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16,167 | synchronicity.synchronizer | _wrap_callable | null | def _wrap_callable(
self,
f,
interface,
name=None,
allow_futures=True,
unwrap_user_excs=True,
target_module=None,
include_aio_interface=True,
):
if hasattr(f, self._original_attr):
if self._multiwrap_warning:
warnings.warn(f"Function {f} is already wrapped, but getting wrapped again")
return f
if name is None:
_name = _FUNCTION_PREFIXES[interface] + f.__name__
else:
_name = name
is_coroutinefunction = inspect.iscoroutinefunction(f)
@wraps_by_interface(interface, f)
def f_wrapped(*args, **kwargs):
return_future = kwargs.pop(_RETURN_FUTURE_KWARG, False)
# If this gets called with an argument that represents an external type,
# translate it into an internal type
if getattr(f, self._input_translation_attr, True):
args = self._translate_in(args)
kwargs = self._translate_in(kwargs)
# Call the function
res = f(*args, **kwargs)
# Figure out if this is a coroutine or something
is_coroutine = inspect.iscoroutine(res)
is_asyncgen = inspect.isasyncgen(res)
if return_future:
if not allow_futures:
raise Exception("Can not return future for this function")
elif is_coroutine:
return self._run_function_sync_future(res, interface, f)
elif is_asyncgen:
raise Exception("Can not return futures for generators")
else:
return res
elif is_coroutine:
if interface in (Interface.ASYNC, Interface._ASYNC_WITH_BLOCKING_TYPES):
coro = self._run_function_async(res, interface, f)
if not is_coroutinefunction:
# If this is a non-async function that returns a coroutine,
# then this is the exit point, and we need to unwrap any
# wrapped exception here. Otherwise, the exit point is
# in async_wrap.py
coro = unwrap_coro_exception(coro)
return coro
elif interface == Interface.BLOCKING:
# This is the exit point, so we need to unwrap the exception here
try:
return self._run_function_sync(res, interface, f)
except StopAsyncIteration:
# this is a special case for handling __next__ wrappers around
# __anext__ that raises StopAsyncIteration
raise StopIteration()
except UserCodeException as uc_exc:
# Used to skip a frame when called from `proxy_method`.
if unwrap_user_excs and not (Interface.BLOCKING and include_aio_interface):
raise uc_exc.exc from None
else:
raise uc_exc
elif is_asyncgen:
# Note that the _run_generator_* functions handle their own
# unwrapping of exceptions (this happens during yielding)
if interface in (Interface.ASYNC, Interface._ASYNC_WITH_BLOCKING_TYPES):
return self._run_generator_async(res, interface, f)
elif interface == Interface.BLOCKING:
return self._run_generator_sync(res, interface, f)
else:
if inspect.isfunction(res) or isinstance(res, functools.partial): # TODO: HACKY HACK
# TODO: this is needed for decorator wrappers that returns functions
# Maybe a bit of a hacky special case that deserves its own decorator
@wraps_by_interface(interface, res)
def f_wrapped(*args, **kwargs):
args = self._translate_in(args)
kwargs = self._translate_in(kwargs)
f_res = res(*args, **kwargs)
if getattr(f, self._output_translation_attr, True):
return self._translate_out(f_res, interface)
else:
return f_res
return f_wrapped
if getattr(f, self._output_translation_attr, True):
return self._translate_out(res, interface)
else:
return res
self._update_wrapper(f_wrapped, f, _name, interface, target_module=target_module)
setattr(f_wrapped, self._original_attr, f)
if interface == Interface.BLOCKING and include_aio_interface and should_have_aio_interface(f):
# special async interface
# this async interface returns *blocking* instances of wrapped objects, not async ones:
async_interface = self._wrap_callable(
f,
interface=Interface._ASYNC_WITH_BLOCKING_TYPES,
name=name,
allow_futures=allow_futures,
unwrap_user_excs=unwrap_user_excs,
target_module=target_module,
)
f_wrapped = FunctionWithAio(f_wrapped, async_interface, self)
self._update_wrapper(f_wrapped, f, _name, interface, target_module=target_module)
setattr(f_wrapped, self._original_attr, f)
return f_wrapped
| (self, f, interface, name=None, allow_futures=True, unwrap_user_excs=True, target_module=None, include_aio_interface=True) | [
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16,168 | synchronicity.synchronizer | _wrap_check_async_leakage | Check if a coroutine returns another coroutine (or an async generator) and warn.
The reason this is important to catch is that otherwise even synchronized code might end up
"leaking" async code into the caller.
| def _wrap_check_async_leakage(self, coro):
"""Check if a coroutine returns another coroutine (or an async generator) and warn.
The reason this is important to catch is that otherwise even synchronized code might end up
"leaking" async code into the caller.
"""
if not self._async_leakage_warning:
return coro
async def coro_wrapped():
value = await coro
# TODO: we should include the name of the original function here
if inspect.iscoroutine(value):
warnings.warn(f"Potential async leakage: coroutine returned a coroutine {value}.")
elif inspect.isasyncgen(value):
warnings.warn(f"Potential async leakage: Coroutine returned an async generator {value}.")
return value
return coro_wrapped()
| (self, coro) | [
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] |
16,169 | synchronicity.synchronizer | _wrap_class | null | def _wrap_class(self, cls, interface, name, target_module=None):
bases = tuple(
self._wrap(base, interface, require_already_wrapped=(name is not None)) if base != object else object
for base in cls.__bases__
)
new_dict = {self._original_attr: cls}
if cls is not None:
new_dict["__init__"] = self._wrap_proxy_constructor(cls, interface)
for k, v in cls.__dict__.items():
if k in _BUILTIN_ASYNC_METHODS:
k_sync = _BUILTIN_ASYNC_METHODS[k]
if interface == Interface.BLOCKING:
new_dict[k_sync] = self._wrap_proxy_method(
v,
interface,
allow_futures=False,
include_aio_interface=False,
)
new_dict[k] = self._wrap_proxy_method(
v,
Interface._ASYNC_WITH_BLOCKING_TYPES,
allow_futures=False,
)
elif interface == Interface.ASYNC:
new_dict[k] = self._wrap_proxy_method(v, interface, allow_futures=False)
elif k in ("__new__", "__init__"):
# Skip custom constructor in the wrapped class
# Instead, delegate to the base class constructor and wrap it
pass
elif k in IGNORED_ATTRIBUTES:
pass
elif isinstance(v, staticmethod):
# TODO(erikbern): this feels pretty hacky
new_dict[k] = self._wrap_proxy_staticmethod(v, interface)
elif isinstance(v, classmethod):
new_dict[k] = self._wrap_proxy_classmethod(v, interface)
elif isinstance(v, property):
new_dict[k] = self._wrap_proxy_property(v, interface)
elif isinstance(v, MethodWithAio):
# if library defines its own "synchronicity-like" interface we transfer it "as is" to the wrapper
new_dict[k] = v
elif callable(v):
new_dict[k] = self._wrap_proxy_method(v, interface)
if name is None:
name = _CLASS_PREFIXES[interface] + cls.__name__
new_cls = type.__new__(type, name, bases, new_dict)
new_cls.__module__ = cls.__module__ if target_module is None else target_module
new_cls.__doc__ = cls.__doc__
if "__annotations__" in cls.__dict__:
new_cls.__annotations__ = cls.__annotations__ # transfer annotations
setattr(new_cls, TARGET_INTERFACE_ATTR, interface)
setattr(new_cls, SYNCHRONIZER_ATTR, self)
return new_cls
| (self, cls, interface, name, target_module=None) | [
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16,170 | synchronicity.synchronizer | _wrap_instance | null | def _wrap_instance(self, obj, interface):
# Takes an object and creates a new proxy object for it
cls = obj.__class__
cls_dct = cls.__dict__
interfaces = cls_dct[self._wrapped_attr]
if interface not in interfaces:
raise RuntimeError(f"Class {cls} has not synchronized {interface}.")
interface_cls = interfaces[interface]
new_obj = interface_cls.__new__(interface_cls)
# Store a reference to the original object
new_obj.__dict__[self._original_attr] = obj
new_obj.__dict__[SYNCHRONIZER_ATTR] = self
new_obj.__dict__[TARGET_INTERFACE_ATTR] = interface
return new_obj
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16,171 | synchronicity.synchronizer | _wrap_proxy_classmethod | null | def _wrap_proxy_classmethod(self, orig_classmethod, interface):
orig_func = orig_classmethod.__func__
method = self._wrap_callable(orig_func, interface, include_aio_interface=False)
if interface == Interface.BLOCKING and should_have_aio_interface(orig_func):
async_method = self._wrap_callable(orig_func, Interface._ASYNC_WITH_BLOCKING_TYPES)
return MethodWithAio(method, async_method, self, is_classmethod=True)
return classmethod(method)
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16,172 | synchronicity.synchronizer | _wrap_proxy_constructor | Returns a custom __init__ for the subclass. | def _wrap_proxy_constructor(synchronizer_self, cls, interface):
"""Returns a custom __init__ for the subclass."""
def my_init(self, *args, **kwargs):
# Create base instance
args = synchronizer_self._translate_in(args)
kwargs = synchronizer_self._translate_in(kwargs)
instance = cls(*args, **kwargs)
# Register self as the wrapped one
interface_instances = {interface: self}
instance.__dict__[synchronizer_self._wrapped_attr] = interface_instances
# Store a reference to the original object
self.__dict__[synchronizer_self._original_attr] = instance
synchronizer_self._update_wrapper(my_init, cls.__init__, interface=interface)
setattr(my_init, synchronizer_self._original_attr, cls.__init__)
return my_init
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] |
16,173 | synchronicity.synchronizer | _wrap_proxy_method | null | def _wrap_proxy_method(
synchronizer_self,
method,
interface,
allow_futures=True,
include_aio_interface=True,
):
if getattr(method, synchronizer_self._nowrap_attr, None):
# This method is marked as non-wrappable
return method
wrapped_method = synchronizer_self._wrap_callable(
method,
interface,
allow_futures=allow_futures,
unwrap_user_excs=False,
)
@wraps_by_interface(interface, wrapped_method)
def proxy_method(self, *args, **kwargs):
instance = self.__dict__[synchronizer_self._original_attr]
try:
return wrapped_method(instance, *args, **kwargs)
except UserCodeException as uc_exc:
raise uc_exc.exc from None
if interface == Interface.BLOCKING and include_aio_interface and should_have_aio_interface(method):
async_proxy_method = synchronizer_self._wrap_proxy_method(
method, Interface._ASYNC_WITH_BLOCKING_TYPES, allow_futures
)
return MethodWithAio(proxy_method, async_proxy_method, synchronizer_self)
return proxy_method
| (synchronizer_self, method, interface, allow_futures=True, include_aio_interface=True) | [
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16,174 | synchronicity.synchronizer | _wrap_proxy_property | null | def _wrap_proxy_property(self, prop, interface):
kwargs = {}
for attr in ["fget", "fset", "fdel"]:
if getattr(prop, attr):
func = getattr(prop, attr)
kwargs[attr] = self._wrap_proxy_method(
func, interface, allow_futures=False, include_aio_interface=False
)
return property(**kwargs)
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16,175 | synchronicity.synchronizer | _wrap_proxy_staticmethod | null | def _wrap_proxy_staticmethod(self, method, interface):
orig_function = method.__func__
method = self._wrap_callable(orig_function, interface)
if isinstance(method, FunctionWithAio):
return method # no need to wrap a FunctionWithAio in a staticmethod, as it won't get bound anyways
return staticmethod(method)
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