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sqlalchemy.sql.type_api
_set_parent
Support SchemaEventTarget
def _set_parent( self, parent: SchemaEventTarget, outer: bool = False, **kw: Any ) -> None: """Support SchemaEventTarget""" super()._set_parent(parent) if not outer and isinstance(self.impl_instance, SchemaEventTarget): self.impl_instance._set_parent(parent, outer=False, **kw)
(self, parent: sqlalchemy.sql.base.SchemaEventTarget, outer: bool = False, **kw: Any) -> NoneType
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15,959
sqlalchemy.sql.type_api
_set_parent_with_dispatch
Support SchemaEventTarget
def _set_parent_with_dispatch( self, parent: SchemaEventTarget, **kw: Any ) -> None: """Support SchemaEventTarget""" super()._set_parent_with_dispatch(parent, outer=True, **kw) if isinstance(self.impl_instance, SchemaEventTarget): self.impl_instance._set_parent_with_dispatch(parent)
(self, parent: sqlalchemy.sql.base.SchemaEventTarget, **kw: Any) -> NoneType
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15,960
sqlalchemy.sql.type_api
_to_instance
null
@staticmethod def _to_instance(cls_or_self: Union[Type[_TE], _TE]) -> _TE: return to_instance(cls_or_self)
(cls_or_self: Union[Type[~_TE], ~_TE]) -> ~_TE
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15,961
sqlalchemy.sql.type_api
_unwrapped_dialect_impl
Return the 'unwrapped' dialect impl for this type. This is used by the :meth:`.DefaultDialect.set_input_sizes` method.
def _unwrapped_dialect_impl(self, dialect: Dialect) -> TypeEngine[Any]: """Return the 'unwrapped' dialect impl for this type. This is used by the :meth:`.DefaultDialect.set_input_sizes` method. """ # some dialects have a lookup for a TypeDecorator subclass directly. # postgresql.INTERVAL being the main example typ = self.dialect_impl(dialect) # if we are still a type decorator, load the per-dialect switch # (such as what Variant uses), then get the dialect impl for that. if isinstance(typ, self.__class__): return typ.load_dialect_impl(dialect).dialect_impl(dialect) else: return typ
(self, dialect: 'Dialect') -> 'TypeEngine[Any]'
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15,962
sqlalchemy.sql.type_api
adapt
Produce an "adapted" form of this type, given an "impl" class to work with. This method is used internally to associate generic types with "implementation" types that are specific to a particular dialect.
def adapt( self, cls: Type[Union[TypeEngine[Any], TypeEngineMixin]], **kw: Any ) -> TypeEngine[Any]: """Produce an "adapted" form of this type, given an "impl" class to work with. This method is used internally to associate generic types with "implementation" types that are specific to a particular dialect. """ typ = util.constructor_copy( self, cast(Type[TypeEngine[Any]], cls), **kw ) typ._variant_mapping = self._variant_mapping return typ
(self, cls: Type[Union[sqlalchemy.sql.type_api.TypeEngine, sqlalchemy.sql.type_api.TypeEngineMixin]], **kw: Any) -> sqlalchemy.sql.type_api.TypeEngine
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15,963
sqlalchemy.sql.type_api
as_generic
Return an instance of the generic type corresponding to this type using heuristic rule. The method may be overridden if this heuristic rule is not sufficient. >>> from sqlalchemy.dialects.mysql import INTEGER >>> INTEGER(display_width=4).as_generic() Integer() >>> from sqlalchemy.dialects.mysql import NVARCHAR >>> NVARCHAR(length=100).as_generic() Unicode(length=100) .. versionadded:: 1.4.0b2 .. seealso:: :ref:`metadata_reflection_dbagnostic_types` - describes the use of :meth:`_types.TypeEngine.as_generic` in conjunction with the :meth:`_sql.DDLEvents.column_reflect` event, which is its intended use.
def as_generic(self, allow_nulltype: bool = False) -> TypeEngine[_T]: """ Return an instance of the generic type corresponding to this type using heuristic rule. The method may be overridden if this heuristic rule is not sufficient. >>> from sqlalchemy.dialects.mysql import INTEGER >>> INTEGER(display_width=4).as_generic() Integer() >>> from sqlalchemy.dialects.mysql import NVARCHAR >>> NVARCHAR(length=100).as_generic() Unicode(length=100) .. versionadded:: 1.4.0b2 .. seealso:: :ref:`metadata_reflection_dbagnostic_types` - describes the use of :meth:`_types.TypeEngine.as_generic` in conjunction with the :meth:`_sql.DDLEvents.column_reflect` event, which is its intended use. """ if ( not allow_nulltype and self._generic_type_affinity == NULLTYPE.__class__ ): raise NotImplementedError( "Default TypeEngine.as_generic() " "heuristic method was unsuccessful for {}. A custom " "as_generic() method must be implemented for this " "type class.".format( self.__class__.__module__ + "." + self.__class__.__name__ ) ) return util.constructor_copy(self, self._generic_type_affinity)
(self, allow_nulltype: bool = False) -> sqlalchemy.sql.type_api.TypeEngine
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15,964
sqlalchemy.sql.type_api
bind_expression
Given a bind value (i.e. a :class:`.BindParameter` instance), return a SQL expression which will typically wrap the given parameter. .. note:: This method is called during the **SQL compilation** phase of a statement, when rendering a SQL string. It is **not** necessarily called against specific values, and should not be confused with the :meth:`_types.TypeDecorator.process_bind_param` method, which is the more typical method that processes the actual value passed to a particular parameter at statement execution time. Subclasses of :class:`_types.TypeDecorator` can override this method to provide custom bind expression behavior for the type. This implementation will **replace** that of the underlying implementation type.
def bind_expression( self, bindparam: BindParameter[_T] ) -> Optional[ColumnElement[_T]]: """Given a bind value (i.e. a :class:`.BindParameter` instance), return a SQL expression which will typically wrap the given parameter. .. note:: This method is called during the **SQL compilation** phase of a statement, when rendering a SQL string. It is **not** necessarily called against specific values, and should not be confused with the :meth:`_types.TypeDecorator.process_bind_param` method, which is the more typical method that processes the actual value passed to a particular parameter at statement execution time. Subclasses of :class:`_types.TypeDecorator` can override this method to provide custom bind expression behavior for the type. This implementation will **replace** that of the underlying implementation type. """ return self.impl_instance.bind_expression(bindparam)
(self, bindparam: 'BindParameter[_T]') -> 'Optional[ColumnElement[_T]]'
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15,965
sqlalchemy.sql.type_api
bind_processor
Provide a bound value processing function for the given :class:`.Dialect`. This is the method that fulfills the :class:`.TypeEngine` contract for bound value conversion which normally occurs via the :meth:`_types.TypeEngine.bind_processor` method. .. note:: User-defined subclasses of :class:`_types.TypeDecorator` should **not** implement this method, and should instead implement :meth:`_types.TypeDecorator.process_bind_param` so that the "inner" processing provided by the implementing type is maintained. :param dialect: Dialect instance in use.
def bind_processor( self, dialect: Dialect ) -> Optional[_BindProcessorType[_T]]: """Provide a bound value processing function for the given :class:`.Dialect`. This is the method that fulfills the :class:`.TypeEngine` contract for bound value conversion which normally occurs via the :meth:`_types.TypeEngine.bind_processor` method. .. note:: User-defined subclasses of :class:`_types.TypeDecorator` should **not** implement this method, and should instead implement :meth:`_types.TypeDecorator.process_bind_param` so that the "inner" processing provided by the implementing type is maintained. :param dialect: Dialect instance in use. """ if self._has_bind_processor: process_param = self.process_bind_param impl_processor = self.impl_instance.bind_processor(dialect) if impl_processor: fixed_impl_processor = impl_processor fixed_process_param = process_param def process(value: Optional[_T]) -> Any: return fixed_impl_processor( fixed_process_param(value, dialect) ) else: fixed_process_param = process_param def process(value: Optional[_T]) -> Any: return fixed_process_param(value, dialect) return process else: return self.impl_instance.bind_processor(dialect)
(self, dialect: 'Dialect') -> 'Optional[_BindProcessorType[_T]]'
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15,966
sqlalchemy.sql.type_api
coerce_compared_value
Suggest a type for a 'coerced' Python value in an expression. By default, returns self. This method is called by the expression system when an object using this type is on the left or right side of an expression against a plain Python object which does not yet have a SQLAlchemy type assigned:: expr = table.c.somecolumn + 35 Where above, if ``somecolumn`` uses this type, this method will be called with the value ``operator.add`` and ``35``. The return value is whatever SQLAlchemy type should be used for ``35`` for this particular operation.
def coerce_compared_value( self, op: Optional[OperatorType], value: Any ) -> Any: """Suggest a type for a 'coerced' Python value in an expression. By default, returns self. This method is called by the expression system when an object using this type is on the left or right side of an expression against a plain Python object which does not yet have a SQLAlchemy type assigned:: expr = table.c.somecolumn + 35 Where above, if ``somecolumn`` uses this type, this method will be called with the value ``operator.add`` and ``35``. The return value is whatever SQLAlchemy type should be used for ``35`` for this particular operation. """ return self
(self, op: 'Optional[OperatorType]', value: 'Any') -> 'Any'
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15,967
sqlalchemy.sql.type_api
column_expression
Given a SELECT column expression, return a wrapping SQL expression. .. note:: This method is called during the **SQL compilation** phase of a statement, when rendering a SQL string. It is **not** called against specific values, and should not be confused with the :meth:`_types.TypeDecorator.process_result_value` method, which is the more typical method that processes the actual value returned in a result row subsequent to statement execution time. Subclasses of :class:`_types.TypeDecorator` can override this method to provide custom column expression behavior for the type. This implementation will **replace** that of the underlying implementation type. See the description of :meth:`_types.TypeEngine.column_expression` for a complete description of the method's use.
def column_expression( self, column: ColumnElement[_T] ) -> Optional[ColumnElement[_T]]: """Given a SELECT column expression, return a wrapping SQL expression. .. note:: This method is called during the **SQL compilation** phase of a statement, when rendering a SQL string. It is **not** called against specific values, and should not be confused with the :meth:`_types.TypeDecorator.process_result_value` method, which is the more typical method that processes the actual value returned in a result row subsequent to statement execution time. Subclasses of :class:`_types.TypeDecorator` can override this method to provide custom column expression behavior for the type. This implementation will **replace** that of the underlying implementation type. See the description of :meth:`_types.TypeEngine.column_expression` for a complete description of the method's use. """ return self.impl_instance.column_expression(column)
(self, column: 'ColumnElement[_T]') -> 'Optional[ColumnElement[_T]]'
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15,968
sqlalchemy.sql.type_api
compare_values
Given two values, compare them for equality. By default this calls upon :meth:`.TypeEngine.compare_values` of the underlying "impl", which in turn usually uses the Python equals operator ``==``. This function is used by the ORM to compare an original-loaded value with an intercepted "changed" value, to determine if a net change has occurred.
def compare_values(self, x: Any, y: Any) -> bool: """Given two values, compare them for equality. By default this calls upon :meth:`.TypeEngine.compare_values` of the underlying "impl", which in turn usually uses the Python equals operator ``==``. This function is used by the ORM to compare an original-loaded value with an intercepted "changed" value, to determine if a net change has occurred. """ return self.impl_instance.compare_values(x, y)
(self, x: Any, y: Any) -> bool
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15,969
sqlalchemy.sql.type_api
compile
Produce a string-compiled form of this :class:`.TypeEngine`. When called with no arguments, uses a "default" dialect to produce a string result. :param dialect: a :class:`.Dialect` instance.
def compile(self, dialect: Optional[Dialect] = None) -> str: """Produce a string-compiled form of this :class:`.TypeEngine`. When called with no arguments, uses a "default" dialect to produce a string result. :param dialect: a :class:`.Dialect` instance. """ # arg, return value is inconsistent with # ClauseElement.compile()....this is a mistake. if dialect is None: dialect = self._default_dialect() return dialect.type_compiler_instance.process(self)
(self, dialect: 'Optional[Dialect]' = None) -> 'str'
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15,970
sqlalchemy.sql.type_api
copy
Produce a copy of this :class:`.TypeDecorator` instance. This is a shallow copy and is provided to fulfill part of the :class:`.TypeEngine` contract. It usually does not need to be overridden unless the user-defined :class:`.TypeDecorator` has local state that should be deep-copied.
def copy(self, **kw: Any) -> Self: """Produce a copy of this :class:`.TypeDecorator` instance. This is a shallow copy and is provided to fulfill part of the :class:`.TypeEngine` contract. It usually does not need to be overridden unless the user-defined :class:`.TypeDecorator` has local state that should be deep-copied. """ instance = self.__class__.__new__(self.__class__) instance.__dict__.update(self.__dict__) return instance
(self, **kw: Any) -> typing_extensions.Self
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15,971
sqlalchemy.sql.type_api
copy_value
null
def copy_value(self, value: Any) -> Any: return value
(self, value: Any) -> Any
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15,972
sqlalchemy.sql.type_api
dialect_impl
Return a dialect-specific implementation for this :class:`.TypeEngine`.
def dialect_impl(self, dialect: Dialect) -> TypeEngine[_T]: """Return a dialect-specific implementation for this :class:`.TypeEngine`. """ try: tm = dialect._type_memos[self] except KeyError: pass else: return tm["impl"] return self._dialect_info(dialect)["impl"]
(self, dialect: 'Dialect') -> 'TypeEngine[_T]'
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15,973
sqlalchemy.sql.type_api
evaluates_none
Return a copy of this type which has the :attr:`.should_evaluate_none` flag set to True. E.g.:: Table( 'some_table', metadata, Column( String(50).evaluates_none(), nullable=True, server_default='no value') ) The ORM uses this flag to indicate that a positive value of ``None`` is passed to the column in an INSERT statement, rather than omitting the column from the INSERT statement which has the effect of firing off column-level defaults. It also allows for types which have special behavior associated with the Python None value to indicate that the value doesn't necessarily translate into SQL NULL; a prime example of this is a JSON type which may wish to persist the JSON value ``'null'``. In all cases, the actual NULL SQL value can be always be persisted in any column by using the :obj:`_expression.null` SQL construct in an INSERT statement or associated with an ORM-mapped attribute. .. note:: The "evaluates none" flag does **not** apply to a value of ``None`` passed to :paramref:`_schema.Column.default` or :paramref:`_schema.Column.server_default`; in these cases, ``None`` still means "no default". .. seealso:: :ref:`session_forcing_null` - in the ORM documentation :paramref:`.postgresql.JSON.none_as_null` - PostgreSQL JSON interaction with this flag. :attr:`.TypeEngine.should_evaluate_none` - class-level flag
def evaluates_none(self) -> Self: """Return a copy of this type which has the :attr:`.should_evaluate_none` flag set to True. E.g.:: Table( 'some_table', metadata, Column( String(50).evaluates_none(), nullable=True, server_default='no value') ) The ORM uses this flag to indicate that a positive value of ``None`` is passed to the column in an INSERT statement, rather than omitting the column from the INSERT statement which has the effect of firing off column-level defaults. It also allows for types which have special behavior associated with the Python None value to indicate that the value doesn't necessarily translate into SQL NULL; a prime example of this is a JSON type which may wish to persist the JSON value ``'null'``. In all cases, the actual NULL SQL value can be always be persisted in any column by using the :obj:`_expression.null` SQL construct in an INSERT statement or associated with an ORM-mapped attribute. .. note:: The "evaluates none" flag does **not** apply to a value of ``None`` passed to :paramref:`_schema.Column.default` or :paramref:`_schema.Column.server_default`; in these cases, ``None`` still means "no default". .. seealso:: :ref:`session_forcing_null` - in the ORM documentation :paramref:`.postgresql.JSON.none_as_null` - PostgreSQL JSON interaction with this flag. :attr:`.TypeEngine.should_evaluate_none` - class-level flag """ typ = self.copy() typ.should_evaluate_none = True return typ
(self) -> typing_extensions.Self
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15,974
sqlalchemy.sql.type_api
get_dbapi_type
Return the DBAPI type object represented by this :class:`.TypeDecorator`. By default this calls upon :meth:`.TypeEngine.get_dbapi_type` of the underlying "impl".
def get_dbapi_type(self, dbapi: ModuleType) -> Optional[Any]: """Return the DBAPI type object represented by this :class:`.TypeDecorator`. By default this calls upon :meth:`.TypeEngine.get_dbapi_type` of the underlying "impl". """ return self.impl_instance.get_dbapi_type(dbapi)
(self, dbapi: module) -> Optional[Any]
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15,975
sqlalchemy.sql.type_api
literal_processor
Provide a literal processing function for the given :class:`.Dialect`. This is the method that fulfills the :class:`.TypeEngine` contract for literal value conversion which normally occurs via the :meth:`_types.TypeEngine.literal_processor` method. .. note:: User-defined subclasses of :class:`_types.TypeDecorator` should **not** implement this method, and should instead implement :meth:`_types.TypeDecorator.process_literal_param` so that the "inner" processing provided by the implementing type is maintained.
def literal_processor( self, dialect: Dialect ) -> Optional[_LiteralProcessorType[_T]]: """Provide a literal processing function for the given :class:`.Dialect`. This is the method that fulfills the :class:`.TypeEngine` contract for literal value conversion which normally occurs via the :meth:`_types.TypeEngine.literal_processor` method. .. note:: User-defined subclasses of :class:`_types.TypeDecorator` should **not** implement this method, and should instead implement :meth:`_types.TypeDecorator.process_literal_param` so that the "inner" processing provided by the implementing type is maintained. """ if self._has_literal_processor: process_literal_param = self.process_literal_param process_bind_param = None elif self._has_bind_processor: # use the bind processor if dont have a literal processor, # but we have an impl literal processor process_literal_param = None process_bind_param = self.process_bind_param else: process_literal_param = None process_bind_param = None if process_literal_param is not None: impl_processor = self.impl_instance.literal_processor(dialect) if impl_processor: fixed_impl_processor = impl_processor fixed_process_literal_param = process_literal_param def process(value: Any) -> str: return fixed_impl_processor( fixed_process_literal_param(value, dialect) ) else: fixed_process_literal_param = process_literal_param def process(value: Any) -> str: return fixed_process_literal_param(value, dialect) return process elif process_bind_param is not None: impl_processor = self.impl_instance.literal_processor(dialect) if not impl_processor: return None else: fixed_impl_processor = impl_processor fixed_process_bind_param = process_bind_param def process(value: Any) -> str: return fixed_impl_processor( fixed_process_bind_param(value, dialect) ) return process else: return self.impl_instance.literal_processor(dialect)
(self, dialect: 'Dialect') -> 'Optional[_LiteralProcessorType[_T]]'
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15,976
sqlalchemy.sql.type_api
load_dialect_impl
Return a :class:`.TypeEngine` object corresponding to a dialect. This is an end-user override hook that can be used to provide differing types depending on the given dialect. It is used by the :class:`.TypeDecorator` implementation of :meth:`type_engine` to help determine what type should ultimately be returned for a given :class:`.TypeDecorator`. By default returns ``self.impl``.
def load_dialect_impl(self, dialect: Dialect) -> TypeEngine[Any]: """Return a :class:`.TypeEngine` object corresponding to a dialect. This is an end-user override hook that can be used to provide differing types depending on the given dialect. It is used by the :class:`.TypeDecorator` implementation of :meth:`type_engine` to help determine what type should ultimately be returned for a given :class:`.TypeDecorator`. By default returns ``self.impl``. """ return self.impl_instance
(self, dialect: 'Dialect') -> 'TypeEngine[Any]'
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15,977
sqlalchemy_utc.sqltypes
process_bind_param
null
def process_bind_param(self, value, dialect): if value is not None: if not isinstance(value, datetime.datetime): raise TypeError('expected datetime.datetime, not ' + repr(value)) elif value.tzinfo is None: raise ValueError('naive datetime is disallowed') return value.astimezone(utc)
(self, value, dialect)
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15,978
sqlalchemy.sql.type_api
process_literal_param
Receive a literal parameter value to be rendered inline within a statement. .. note:: This method is called during the **SQL compilation** phase of a statement, when rendering a SQL string. Unlike other SQL compilation methods, it is passed a specific Python value to be rendered as a string. However it should not be confused with the :meth:`_types.TypeDecorator.process_bind_param` method, which is the more typical method that processes the actual value passed to a particular parameter at statement execution time. Custom subclasses of :class:`_types.TypeDecorator` should override this method to provide custom behaviors for incoming data values that are in the special case of being rendered as literals. The returned string will be rendered into the output string.
def process_literal_param( self, value: Optional[_T], dialect: Dialect ) -> str: """Receive a literal parameter value to be rendered inline within a statement. .. note:: This method is called during the **SQL compilation** phase of a statement, when rendering a SQL string. Unlike other SQL compilation methods, it is passed a specific Python value to be rendered as a string. However it should not be confused with the :meth:`_types.TypeDecorator.process_bind_param` method, which is the more typical method that processes the actual value passed to a particular parameter at statement execution time. Custom subclasses of :class:`_types.TypeDecorator` should override this method to provide custom behaviors for incoming data values that are in the special case of being rendered as literals. The returned string will be rendered into the output string. """ raise NotImplementedError()
(self, value: 'Optional[_T]', dialect: 'Dialect') -> 'str'
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15,979
sqlalchemy_utc.sqltypes
process_result_value
null
def process_result_value(self, value, dialect): if value is not None: if value.tzinfo is None: value = value.replace(tzinfo=utc) else: value = value.astimezone(utc) return value
(self, value, dialect)
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15,980
sqlalchemy.sql.type_api
result_processor
Provide a result value processing function for the given :class:`.Dialect`. This is the method that fulfills the :class:`.TypeEngine` contract for bound value conversion which normally occurs via the :meth:`_types.TypeEngine.result_processor` method. .. note:: User-defined subclasses of :class:`_types.TypeDecorator` should **not** implement this method, and should instead implement :meth:`_types.TypeDecorator.process_result_value` so that the "inner" processing provided by the implementing type is maintained. :param dialect: Dialect instance in use. :param coltype: A SQLAlchemy data type
def result_processor( self, dialect: Dialect, coltype: Any ) -> Optional[_ResultProcessorType[_T]]: """Provide a result value processing function for the given :class:`.Dialect`. This is the method that fulfills the :class:`.TypeEngine` contract for bound value conversion which normally occurs via the :meth:`_types.TypeEngine.result_processor` method. .. note:: User-defined subclasses of :class:`_types.TypeDecorator` should **not** implement this method, and should instead implement :meth:`_types.TypeDecorator.process_result_value` so that the "inner" processing provided by the implementing type is maintained. :param dialect: Dialect instance in use. :param coltype: A SQLAlchemy data type """ if self._has_result_processor: process_value = self.process_result_value impl_processor = self.impl_instance.result_processor( dialect, coltype ) if impl_processor: fixed_process_value = process_value fixed_impl_processor = impl_processor def process(value: Any) -> Optional[_T]: return fixed_process_value( fixed_impl_processor(value), dialect ) else: fixed_process_value = process_value def process(value: Any) -> Optional[_T]: return fixed_process_value(value, dialect) return process else: return self.impl_instance.result_processor(dialect, coltype)
(self, dialect: 'Dialect', coltype: 'Any') -> 'Optional[_ResultProcessorType[_T]]'
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15,981
sqlalchemy.sql.type_api
type_engine
Return a dialect-specific :class:`.TypeEngine` instance for this :class:`.TypeDecorator`. In most cases this returns a dialect-adapted form of the :class:`.TypeEngine` type represented by ``self.impl``. Makes usage of :meth:`dialect_impl`. Behavior can be customized here by overriding :meth:`load_dialect_impl`.
def type_engine(self, dialect: Dialect) -> TypeEngine[Any]: """Return a dialect-specific :class:`.TypeEngine` instance for this :class:`.TypeDecorator`. In most cases this returns a dialect-adapted form of the :class:`.TypeEngine` type represented by ``self.impl``. Makes usage of :meth:`dialect_impl`. Behavior can be customized here by overriding :meth:`load_dialect_impl`. """ adapted = dialect.type_descriptor(self) if not isinstance(adapted, type(self)): return adapted else: return self.load_dialect_impl(dialect)
(self, dialect: 'Dialect') -> 'TypeEngine[Any]'
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15,982
sqlalchemy.sql.type_api
with_variant
Produce a copy of this type object that will utilize the given type when applied to the dialect of the given name. e.g.:: from sqlalchemy.types import String from sqlalchemy.dialects import mysql string_type = String() string_type = string_type.with_variant( mysql.VARCHAR(collation='foo'), 'mysql', 'mariadb' ) The variant mapping indicates that when this type is interpreted by a specific dialect, it will instead be transmuted into the given type, rather than using the primary type. .. versionchanged:: 2.0 the :meth:`_types.TypeEngine.with_variant` method now works with a :class:`_types.TypeEngine` object "in place", returning a copy of the original type rather than returning a wrapping object; the ``Variant`` class is no longer used. :param type\_: a :class:`.TypeEngine` that will be selected as a variant from the originating type, when a dialect of the given name is in use. :param \*dialect_names: one or more base names of the dialect which uses this type. (i.e. ``'postgresql'``, ``'mysql'``, etc.) .. versionchanged:: 2.0 multiple dialect names can be specified for one variant. .. seealso:: :ref:`types_with_variant` - illustrates the use of :meth:`_types.TypeEngine.with_variant`.
def with_variant( self, type_: _TypeEngineArgument[Any], *dialect_names: str, ) -> Self: r"""Produce a copy of this type object that will utilize the given type when applied to the dialect of the given name. e.g.:: from sqlalchemy.types import String from sqlalchemy.dialects import mysql string_type = String() string_type = string_type.with_variant( mysql.VARCHAR(collation='foo'), 'mysql', 'mariadb' ) The variant mapping indicates that when this type is interpreted by a specific dialect, it will instead be transmuted into the given type, rather than using the primary type. .. versionchanged:: 2.0 the :meth:`_types.TypeEngine.with_variant` method now works with a :class:`_types.TypeEngine` object "in place", returning a copy of the original type rather than returning a wrapping object; the ``Variant`` class is no longer used. :param type\_: a :class:`.TypeEngine` that will be selected as a variant from the originating type, when a dialect of the given name is in use. :param \*dialect_names: one or more base names of the dialect which uses this type. (i.e. ``'postgresql'``, ``'mysql'``, etc.) .. versionchanged:: 2.0 multiple dialect names can be specified for one variant. .. seealso:: :ref:`types_with_variant` - illustrates the use of :meth:`_types.TypeEngine.with_variant`. """ if not dialect_names: raise exc.ArgumentError("At least one dialect name is required") for dialect_name in dialect_names: if dialect_name in self._variant_mapping: raise exc.ArgumentError( f"Dialect {dialect_name!r} is already present in " f"the mapping for this {self!r}" ) new_type = self.copy() type_ = to_instance(type_) if type_._variant_mapping: raise exc.ArgumentError( "can't pass a type that already has variants as a " "dialect-level type to with_variant()" ) new_type._variant_mapping = self._variant_mapping.union( {dialect_name: type_ for dialect_name in dialect_names} ) return new_type
(self, type_: '_TypeEngineArgument[Any]', *dialect_names: 'str') -> 'Self'
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15,986
sqlalchemy_utc.now
utcnow
UTCNOW() expression for multiple dialects.
class utcnow(FunctionElement): """UTCNOW() expression for multiple dialects.""" type = UtcDateTime()
(*clauses: '_ColumnExpressionOrLiteralArgument[Any]')
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15,987
sqlalchemy.sql.operators
__add__
Implement the ``+`` operator. In a column context, produces the clause ``a + b`` if the parent object has non-string affinity. If the parent object has a string affinity, produces the concatenation operator, ``a || b`` - see :meth:`.ColumnOperators.concat`.
def __add__(self, other: Any) -> ColumnOperators: """Implement the ``+`` operator. In a column context, produces the clause ``a + b`` if the parent object has non-string affinity. If the parent object has a string affinity, produces the concatenation operator, ``a || b`` - see :meth:`.ColumnOperators.concat`. """ return self.operate(add, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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15,988
sqlalchemy.sql.operators
__and__
Implement the ``&`` operator. When used with SQL expressions, results in an AND operation, equivalent to :func:`_expression.and_`, that is:: a & b is equivalent to:: from sqlalchemy import and_ and_(a, b) Care should be taken when using ``&`` regarding operator precedence; the ``&`` operator has the highest precedence. The operands should be enclosed in parenthesis if they contain further sub expressions:: (a == 2) & (b == 4)
def __and__(self, other: Any) -> Operators: """Implement the ``&`` operator. When used with SQL expressions, results in an AND operation, equivalent to :func:`_expression.and_`, that is:: a & b is equivalent to:: from sqlalchemy import and_ and_(a, b) Care should be taken when using ``&`` regarding operator precedence; the ``&`` operator has the highest precedence. The operands should be enclosed in parenthesis if they contain further sub expressions:: (a == 2) & (b == 4) """ return self.operate(and_, other)
(self, other: Any) -> sqlalchemy.sql.operators.Operators
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15,989
sqlalchemy.sql.elements
__bool__
null
def __bool__(self): raise TypeError("Boolean value of this clause is not defined")
(self)
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15,990
sqlalchemy.sql.operators
__contains__
null
def __contains__(self, other: Any) -> ColumnOperators: return self.operate(contains, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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15,991
sqlalchemy.sql.operators
__eq__
Implement the ``==`` operator. In a column context, produces the clause ``a = b``. If the target is ``None``, produces ``a IS NULL``.
def __eq__(self, other: Any) -> ColumnOperators: # type: ignore[override] """Implement the ``==`` operator. In a column context, produces the clause ``a = b``. If the target is ``None``, produces ``a IS NULL``. """ return self.operate(eq, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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15,992
sqlalchemy.sql.operators
__floordiv__
Implement the ``//`` operator. In a column context, produces the clause ``a / b``, which is the same as "truediv", but considers the result type to be integer. .. versionadded:: 2.0
def __floordiv__(self, other: Any) -> ColumnOperators: """Implement the ``//`` operator. In a column context, produces the clause ``a / b``, which is the same as "truediv", but considers the result type to be integer. .. versionadded:: 2.0 """ return self.operate(floordiv, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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15,993
sqlalchemy.sql.operators
__ge__
Implement the ``>=`` operator. In a column context, produces the clause ``a >= b``.
def __ge__(self, other: Any) -> ColumnOperators: """Implement the ``>=`` operator. In a column context, produces the clause ``a >= b``. """ return self.operate(ge, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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15,994
sqlalchemy.sql.elements
__getattr__
null
def __getattr__(self, key: str) -> Any: try: return getattr(self.comparator, key) except AttributeError as err: raise AttributeError( "Neither %r object nor %r object has an attribute %r" % ( type(self).__name__, type(self.comparator).__name__, key, ) ) from err
(self, key: str) -> Any
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15,995
sqlalchemy.sql.operators
__getitem__
Implement the [] operator. This can be used by some database-specific types such as PostgreSQL ARRAY and HSTORE.
def __getitem__(self, index: Any) -> ColumnOperators: """Implement the [] operator. This can be used by some database-specific types such as PostgreSQL ARRAY and HSTORE. """ return self.operate(getitem, index)
(self, index: Any) -> sqlalchemy.sql.operators.ColumnOperators
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15,996
sqlalchemy.sql.elements
__getstate__
null
def __getstate__(self): d = self.__dict__.copy() d.pop("_is_clone_of", None) d.pop("_generate_cache_key", None) return d
(self)
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15,997
sqlalchemy.sql.operators
__gt__
Implement the ``>`` operator. In a column context, produces the clause ``a > b``.
def __gt__(self, other: Any) -> ColumnOperators: """Implement the ``>`` operator. In a column context, produces the clause ``a > b``. """ return self.operate(gt, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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15,998
sqlalchemy.sql.functions
__init__
Construct a :class:`.FunctionElement`. :param \*clauses: list of column expressions that form the arguments of the SQL function call. :param \**kwargs: additional kwargs are typically consumed by subclasses. .. seealso:: :data:`.func` :class:`.Function`
def __init__(self, *clauses: _ColumnExpressionOrLiteralArgument[Any]): r"""Construct a :class:`.FunctionElement`. :param \*clauses: list of column expressions that form the arguments of the SQL function call. :param \**kwargs: additional kwargs are typically consumed by subclasses. .. seealso:: :data:`.func` :class:`.Function` """ args: Sequence[_ColumnExpressionArgument[Any]] = [ coercions.expect( roles.ExpressionElementRole, c, name=getattr(self, "name", None), apply_propagate_attrs=self, ) for c in clauses ] self._has_args = self._has_args or bool(args) self.clause_expr = Grouping( ClauseList(operator=operators.comma_op, group_contents=True, *args) )
(self, *clauses: '_ColumnExpressionOrLiteralArgument[Any]')
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15,999
sqlalchemy.sql.operators
__invert__
Implement the ``~`` operator. When used with SQL expressions, results in a NOT operation, equivalent to :func:`_expression.not_`, that is:: ~a is equivalent to:: from sqlalchemy import not_ not_(a)
def __invert__(self) -> Operators: """Implement the ``~`` operator. When used with SQL expressions, results in a NOT operation, equivalent to :func:`_expression.not_`, that is:: ~a is equivalent to:: from sqlalchemy import not_ not_(a) """ return self.operate(inv)
(self) -> sqlalchemy.sql.operators.Operators
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16,000
sqlalchemy.sql.operators
__le__
Implement the ``<=`` operator. In a column context, produces the clause ``a <= b``.
def __le__(self, other: Any) -> ColumnOperators: """Implement the ``<=`` operator. In a column context, produces the clause ``a <= b``. """ return self.operate(le, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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16,001
sqlalchemy.sql.operators
__lshift__
implement the << operator. Not used by SQLAlchemy core, this is provided for custom operator systems which want to use << as an extension point.
def __lshift__(self, other: Any) -> ColumnOperators: """implement the << operator. Not used by SQLAlchemy core, this is provided for custom operator systems which want to use << as an extension point. """ return self.operate(lshift, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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16,002
sqlalchemy.sql.operators
__lt__
Implement the ``<`` operator. In a column context, produces the clause ``a < b``.
def __lt__(self, other: Any) -> ColumnOperators: """Implement the ``<`` operator. In a column context, produces the clause ``a < b``. """ return self.operate(lt, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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16,003
sqlalchemy.sql.operators
__mod__
Implement the ``%`` operator. In a column context, produces the clause ``a % b``.
def __mod__(self, other: Any) -> ColumnOperators: """Implement the ``%`` operator. In a column context, produces the clause ``a % b``. """ return self.operate(mod, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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16,004
sqlalchemy.sql.operators
__mul__
Implement the ``*`` operator. In a column context, produces the clause ``a * b``.
def __mul__(self, other: Any) -> ColumnOperators: """Implement the ``*`` operator. In a column context, produces the clause ``a * b``. """ return self.operate(mul, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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16,005
sqlalchemy.sql.operators
__ne__
Implement the ``!=`` operator. In a column context, produces the clause ``a != b``. If the target is ``None``, produces ``a IS NOT NULL``.
def __ne__(self, other: Any) -> ColumnOperators: # type: ignore[override] """Implement the ``!=`` operator. In a column context, produces the clause ``a != b``. If the target is ``None``, produces ``a IS NOT NULL``. """ return self.operate(ne, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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16,006
sqlalchemy.sql.operators
__neg__
Implement the ``-`` operator. In a column context, produces the clause ``-a``.
def __neg__(self) -> ColumnOperators: """Implement the ``-`` operator. In a column context, produces the clause ``-a``. """ return self.operate(neg)
(self) -> sqlalchemy.sql.operators.ColumnOperators
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16,007
sqlalchemy.sql.operators
__or__
Implement the ``|`` operator. When used with SQL expressions, results in an OR operation, equivalent to :func:`_expression.or_`, that is:: a | b is equivalent to:: from sqlalchemy import or_ or_(a, b) Care should be taken when using ``|`` regarding operator precedence; the ``|`` operator has the highest precedence. The operands should be enclosed in parenthesis if they contain further sub expressions:: (a == 2) | (b == 4)
def __or__(self, other: Any) -> Operators: """Implement the ``|`` operator. When used with SQL expressions, results in an OR operation, equivalent to :func:`_expression.or_`, that is:: a | b is equivalent to:: from sqlalchemy import or_ or_(a, b) Care should be taken when using ``|`` regarding operator precedence; the ``|`` operator has the highest precedence. The operands should be enclosed in parenthesis if they contain further sub expressions:: (a == 2) | (b == 4) """ return self.operate(or_, other)
(self, other: Any) -> sqlalchemy.sql.operators.Operators
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16,008
sqlalchemy.sql.operators
__radd__
Implement the ``+`` operator in reverse. See :meth:`.ColumnOperators.__add__`.
def __radd__(self, other: Any) -> ColumnOperators: """Implement the ``+`` operator in reverse. See :meth:`.ColumnOperators.__add__`. """ return self.reverse_operate(add, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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16,009
sqlalchemy.sql.elements
__repr__
null
def __repr__(self): friendly = self.description if friendly is None: return object.__repr__(self) else: return "<%s.%s at 0x%x; %s>" % ( self.__module__, self.__class__.__name__, id(self), friendly, )
(self)
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16,010
sqlalchemy.sql.operators
__rfloordiv__
Implement the ``//`` operator in reverse. See :meth:`.ColumnOperators.__floordiv__`.
def __rfloordiv__(self, other: Any) -> ColumnOperators: """Implement the ``//`` operator in reverse. See :meth:`.ColumnOperators.__floordiv__`. """ return self.reverse_operate(floordiv, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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16,011
sqlalchemy.sql.operators
__rmod__
Implement the ``%`` operator in reverse. See :meth:`.ColumnOperators.__mod__`.
def __rmod__(self, other: Any) -> ColumnOperators: """Implement the ``%`` operator in reverse. See :meth:`.ColumnOperators.__mod__`. """ return self.reverse_operate(mod, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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16,012
sqlalchemy.sql.operators
__rmul__
Implement the ``*`` operator in reverse. See :meth:`.ColumnOperators.__mul__`.
def __rmul__(self, other: Any) -> ColumnOperators: """Implement the ``*`` operator in reverse. See :meth:`.ColumnOperators.__mul__`. """ return self.reverse_operate(mul, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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16,013
sqlalchemy.sql.operators
__rshift__
implement the >> operator. Not used by SQLAlchemy core, this is provided for custom operator systems which want to use >> as an extension point.
def __rshift__(self, other: Any) -> ColumnOperators: """implement the >> operator. Not used by SQLAlchemy core, this is provided for custom operator systems which want to use >> as an extension point. """ return self.operate(rshift, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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16,014
sqlalchemy.sql.operators
__rsub__
Implement the ``-`` operator in reverse. See :meth:`.ColumnOperators.__sub__`.
def __rsub__(self, other: Any) -> ColumnOperators: """Implement the ``-`` operator in reverse. See :meth:`.ColumnOperators.__sub__`. """ return self.reverse_operate(sub, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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16,015
sqlalchemy.sql.operators
__rtruediv__
Implement the ``/`` operator in reverse. See :meth:`.ColumnOperators.__truediv__`.
def __rtruediv__(self, other: Any) -> ColumnOperators: """Implement the ``/`` operator in reverse. See :meth:`.ColumnOperators.__truediv__`. """ return self.reverse_operate(truediv, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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16,016
sqlalchemy.sql.operators
operate
Operate on an argument. This is the lowest level of operation, raises :class:`NotImplementedError` by default. Overriding this on a subclass can allow common behavior to be applied to all operations. For example, overriding :class:`.ColumnOperators` to apply ``func.lower()`` to the left and right side:: class MyComparator(ColumnOperators): def operate(self, op, other, **kwargs): return op(func.lower(self), func.lower(other), **kwargs) :param op: Operator callable. :param \*other: the 'other' side of the operation. Will be a single scalar for most operations. :param \**kwargs: modifiers. These may be passed by special operators such as :meth:`ColumnOperators.contains`.
def operate( self, op: OperatorType, *other: Any, **kwargs: Any ) -> Operators: r"""Operate on an argument. This is the lowest level of operation, raises :class:`NotImplementedError` by default. Overriding this on a subclass can allow common behavior to be applied to all operations. For example, overriding :class:`.ColumnOperators` to apply ``func.lower()`` to the left and right side:: class MyComparator(ColumnOperators): def operate(self, op, other, **kwargs): return op(func.lower(self), func.lower(other), **kwargs) :param op: Operator callable. :param \*other: the 'other' side of the operation. Will be a single scalar for most operations. :param \**kwargs: modifiers. These may be passed by special operators such as :meth:`ColumnOperators.contains`. """ raise NotImplementedError(str(op))
(self, op: sqlalchemy.sql.operators.OperatorType, *other: Any, **kwargs: Any) -> sqlalchemy.sql.operators.Operators
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16,017
sqlalchemy.sql.elements
__setstate__
null
def __setstate__(self, state): self.__dict__.update(state)
(self, state)
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16,019
sqlalchemy.sql.operators
__sub__
Implement the ``-`` operator. In a column context, produces the clause ``a - b``.
def __sub__(self, other: Any) -> ColumnOperators: """Implement the ``-`` operator. In a column context, produces the clause ``a - b``. """ return self.operate(sub, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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16,020
sqlalchemy.sql.operators
__truediv__
Implement the ``/`` operator. In a column context, produces the clause ``a / b``, and considers the result type to be numeric. .. versionchanged:: 2.0 The truediv operator against two integers is now considered to return a numeric value. Behavior on specific backends may vary.
def __truediv__(self, other: Any) -> ColumnOperators: """Implement the ``/`` operator. In a column context, produces the clause ``a / b``, and considers the result type to be numeric. .. versionchanged:: 2.0 The truediv operator against two integers is now considered to return a numeric value. Behavior on specific backends may vary. """ return self.operate(truediv, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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16,021
sqlalchemy.sql.base
_add_context_option
Add a context option to this statement. These are callable functions that will be given the CompileState object upon compilation. A second argument cache_args is required, which will be combined with the ``__code__`` identity of the function itself in order to produce a cache key.
# 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, callable_: Callable[[sqlalchemy.sql.base.CompileState], NoneType], cache_args: Any) -> typing_extensions.Self
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16,022
sqlalchemy.sql.annotation
_annotate
return a copy of this ClauseElement with annotations updated by the given dictionary.
def _annotate(self, values: _AnnotationDict) -> Self: """return a copy of this ClauseElement with annotations updated by the given dictionary. """ return Annotated._as_annotated_instance(self, values) # type: ignore
(self, values: Mapping[str, Any]) -> typing_extensions.Self
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16,023
sqlalchemy.sql.elements
_anon_label
null
def _anon_label( self, seed: Optional[str], add_hash: Optional[int] = None ) -> _anonymous_label: while self._is_clone_of is not None: self = self._is_clone_of # as of 1.4 anonymous label for ColumnElement uses hash(), not id(), # as the identifier, because a column and its annotated version are # the same thing in a SQL statement hash_value = hash(self) if add_hash: # this path is used for disambiguating anon labels that would # otherwise be the same name for the same element repeated. # an additional numeric value is factored in for each label. # shift hash(self) (which is id(self), typically 8 byte integer) # 16 bits leftward. fill extra add_hash on right assert add_hash < (2 << 15) assert seed hash_value = (hash_value << 16) | add_hash # extra underscore is added for labels with extra hash # values, to isolate the "deduped anon" namespace from the # regular namespace. eliminates chance of these # manufactured hash values overlapping with regular ones for some # undefined python interpreter seed = seed + "_" if isinstance(seed, _anonymous_label): return _anonymous_label.safe_construct( hash_value, "", enclosing_label=seed ) return _anonymous_label.safe_construct(hash_value, seed or "anon")
(self, seed: Optional[str], add_hash: Optional[int] = None) -> sqlalchemy.sql.elements._anonymous_label
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16,024
sqlalchemy.sql.selectable
_anonymous_fromclause
null
def _anonymous_fromclause( self, *, name: Optional[str] = None, flat: bool = False ) -> FromClause: return self.alias(name=name)
(self, *, name: Optional[str] = None, flat: bool = False) -> sqlalchemy.sql.selectable.FromClause
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16,025
sqlalchemy.util.langhelpers
_assert_no_memoizations
null
def _assert_no_memoizations(self) -> None: for elem in self._memoized_keys: assert elem not in self.__dict__
(self) -> NoneType
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16,026
sqlalchemy.sql.functions
_bind_param
null
def _bind_param( self, operator: OperatorType, obj: Any, type_: Optional[TypeEngine[_T]] = None, expanding: bool = False, **kw: Any, ) -> BindParameter[_T]: return BindParameter( None, obj, _compared_to_operator=operator, _compared_to_type=self.type, unique=True, type_=type_, expanding=expanding, **kw, )
(self, operator: 'OperatorType', obj: 'Any', type_: 'Optional[TypeEngine[_T]]' = None, expanding: 'bool' = False, **kw: 'Any') -> 'BindParameter[_T]'
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16,027
sqlalchemy.sql.elements
_clone
Create a shallow copy of this ClauseElement. This method may be used by a generative API. Its also used as part of the "deep" copy afforded by a traversal that combines the _copy_internals() method.
def _clone(self, **kw: Any) -> Self: """Create a shallow copy of this ClauseElement. This method may be used by a generative API. Its also used as part of the "deep" copy afforded by a traversal that combines the _copy_internals() method. """ skip = self._memoized_keys c = self.__class__.__new__(self.__class__) if skip: # ensure this iteration remains atomic c.__dict__ = { k: v for k, v in self.__dict__.copy().items() if k not in skip } else: c.__dict__ = self.__dict__.copy() # this is a marker that helps to "equate" clauses to each other # when a Select returns its list of FROM clauses. the cloning # process leaves around a lot of remnants of the previous clause # typically in the form of column expressions still attached to the # old table. cc = self._is_clone_of c._is_clone_of = cc if cc is not None else self return c
(self, **kw: Any) -> typing_extensions.Self
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16,028
sqlalchemy.sql.elements
_compare_name_for_result
Return True if the given column element compares to this one when targeting within a result row.
def _compare_name_for_result(self, other: ColumnElement[Any]) -> bool: """Return True if the given column element compares to this one when targeting within a result row.""" return ( hasattr(other, "name") and hasattr(self, "name") and other.name == self.name )
(self, other: sqlalchemy.sql.elements.ColumnElement[typing.Any]) -> bool
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16,029
sqlalchemy.sql.elements
_compile_w_cache
null
def _compile_w_cache( self, dialect: Dialect, *, compiled_cache: Optional[CompiledCacheType], column_keys: List[str], for_executemany: bool = False, schema_translate_map: Optional[SchemaTranslateMapType] = None, **kw: Any, ) -> typing_Tuple[ Compiled, Optional[Sequence[BindParameter[Any]]], CacheStats ]: elem_cache_key: Optional[CacheKey] if compiled_cache is not None and dialect._supports_statement_cache: elem_cache_key = self._generate_cache_key() else: elem_cache_key = None if elem_cache_key is not None: if TYPE_CHECKING: assert compiled_cache is not None cache_key, extracted_params = elem_cache_key key = ( dialect, cache_key, tuple(column_keys), bool(schema_translate_map), for_executemany, ) compiled_sql = compiled_cache.get(key) if compiled_sql is None: cache_hit = dialect.CACHE_MISS compiled_sql = self._compiler( dialect, cache_key=elem_cache_key, column_keys=column_keys, for_executemany=for_executemany, schema_translate_map=schema_translate_map, **kw, ) compiled_cache[key] = compiled_sql else: cache_hit = dialect.CACHE_HIT else: extracted_params = None compiled_sql = self._compiler( dialect, cache_key=elem_cache_key, column_keys=column_keys, for_executemany=for_executemany, schema_translate_map=schema_translate_map, **kw, ) if not dialect._supports_statement_cache: cache_hit = dialect.NO_DIALECT_SUPPORT elif compiled_cache is None: cache_hit = dialect.CACHING_DISABLED else: cache_hit = dialect.NO_CACHE_KEY return compiled_sql, extracted_params, cache_hit
(self, dialect: 'Dialect', *, compiled_cache: 'Optional[CompiledCacheType]', column_keys: 'List[str]', for_executemany: 'bool' = False, schema_translate_map: 'Optional[SchemaTranslateMapType]' = None, **kw: 'Any') -> 'typing_Tuple[Compiled, Optional[Sequence[BindParameter[Any]]], CacheStats]'
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16,030
sqlalchemy.sql.elements
_compiler
Return a compiler appropriate for this ClauseElement, given a Dialect.
def _compiler(self, dialect: Dialect, **kw: Any) -> Compiled: """Return a compiler appropriate for this ClauseElement, given a Dialect.""" if TYPE_CHECKING: assert isinstance(self, ClauseElement) return dialect.statement_compiler(dialect, self, **kw)
(self, dialect: 'Dialect', **kw: 'Any') -> 'Compiled'
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16,031
sqlalchemy.ext.compiler
<lambda>
null
def compiles(class_, *specs): """Register a function as a compiler for a given :class:`_expression.ClauseElement` type.""" def decorate(fn): # get an existing @compiles handler existing = class_.__dict__.get("_compiler_dispatcher", None) # get the original handler. All ClauseElement classes have one # of these, but some TypeEngine classes will not. existing_dispatch = getattr(class_, "_compiler_dispatch", None) if not existing: existing = _dispatcher() if existing_dispatch: def _wrap_existing_dispatch(element, compiler, **kw): try: return existing_dispatch(element, compiler, **kw) except exc.UnsupportedCompilationError as uce: raise exc.UnsupportedCompilationError( compiler, type(element), message="%s construct has no default " "compilation handler." % type(element), ) from uce existing.specs["default"] = _wrap_existing_dispatch # TODO: why is the lambda needed ? setattr( class_, "_compiler_dispatch", lambda *arg, **kw: existing(*arg, **kw), ) setattr(class_, "_compiler_dispatcher", existing) if specs: for s in specs: existing.specs[s] = fn else: existing.specs["default"] = fn return fn return decorate
(*arg, **kw)
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16,032
sqlalchemy.sql.traversals
_copy_internals
Reassign internal elements to be clones of themselves. Called during a copy-and-traverse operation on newly shallow-copied elements to create a deep copy. The given clone function should be used, which may be applying additional transformations to the element (i.e. replacement traversal, cloned traversal, annotations).
def _copy_internals( self, *, omit_attrs: Iterable[str] = (), **kw: Any ) -> None: """Reassign internal elements to be clones of themselves. Called during a copy-and-traverse operation on newly shallow-copied elements to create a deep copy. The given clone function should be used, which may be applying additional transformations to the element (i.e. replacement traversal, cloned traversal, annotations). """ try: traverse_internals = self._traverse_internals except AttributeError: # user-defined classes may not have a _traverse_internals return for attrname, obj, meth in _copy_internals.run_generated_dispatch( self, traverse_internals, "_generated_copy_internals_traversal" ): if attrname in omit_attrs: continue if obj is not None: result = meth(attrname, self, obj, **kw) if result is not None: setattr(self, attrname, result)
(self, *, omit_attrs: Iterable[str] = (), **kw: Any) -> NoneType
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16,033
sqlalchemy.sql.elements
_de_clone
null
def _de_clone(self): while self._is_clone_of is not None: self = self._is_clone_of return self
(self)
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16,034
sqlalchemy.sql.annotation
_deannotate
return a copy of this :class:`_expression.ClauseElement` with annotations removed. :param values: optional tuple of individual values to remove.
def _deannotate( self, values: Optional[Sequence[str]] = None, clone: bool = False, ) -> SupportsAnnotations: """return a copy of this :class:`_expression.ClauseElement` with annotations removed. :param values: optional tuple of individual values to remove. """ if clone: s = self._clone() return s else: return self
(self, values: Optional[Sequence[str]] = None, clone: bool = False) -> sqlalchemy.sql.annotation.SupportsAnnotations
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16,035
sqlalchemy.sql.elements
_dedupe_anon_label_idx
label to apply to a column that is anon labeled, but repeated in the SELECT, so that we have to make an "extra anon" label that disambiguates it from the previous appearance. these labels come out like "foo_bar_id__1" and have double underscores in them.
def _dedupe_anon_label_idx(self, idx: int) -> str: """label to apply to a column that is anon labeled, but repeated in the SELECT, so that we have to make an "extra anon" label that disambiguates it from the previous appearance. these labels come out like "foo_bar_id__1" and have double underscores in them. """ label = getattr(self, "name", None) # current convention is that if the element doesn't have a # ".name" (usually because it is not NamedColumn), we try to # use a "table qualified" form for the "dedupe anon" label, # based on the notion that a label like # "CAST(casttest.v1 AS DECIMAL) AS casttest_v1__1" looks better than # "CAST(casttest.v1 AS DECIMAL) AS anon__1" if label is None: return self._dedupe_anon_tq_label_idx(idx) else: return self._anon_label(label, add_hash=idx)
(self, idx: int) -> str
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16,036
sqlalchemy.sql.elements
_dedupe_anon_tq_label_idx
null
def _dedupe_anon_tq_label_idx(self, idx: int) -> _anonymous_label: label = getattr(self, "_tq_label", None) or "anon" return self._anon_label(label, add_hash=idx)
(self, idx: int) -> sqlalchemy.sql.elements._anonymous_label
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16,037
sqlalchemy.sql.functions
_execute_on_connection
null
def _execute_on_connection( self, connection: Connection, distilled_params: _CoreMultiExecuteParams, execution_options: CoreExecuteOptionsParameter, ) -> CursorResult[Any]: return connection._execute_function( self, distilled_params, execution_options )
(self, connection: 'Connection', distilled_params: '_CoreMultiExecuteParams', execution_options: 'CoreExecuteOptionsParameter') -> 'CursorResult[Any]'
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16,038
sqlalchemy.sql.elements
_execute_on_scalar
an additional hook for subclasses to provide a different implementation for connection.scalar() vs. connection.execute(). .. versionadded:: 2.0
def _execute_on_scalar( self, connection: Connection, distilled_params: _CoreMultiExecuteParams, execution_options: CoreExecuteOptionsParameter, ) -> Any: """an additional hook for subclasses to provide a different implementation for connection.scalar() vs. connection.execute(). .. versionadded:: 2.0 """ return self._execute_on_connection( connection, distilled_params, execution_options ).scalar()
(self, connection: 'Connection', distilled_params: '_CoreMultiExecuteParams', execution_options: 'CoreExecuteOptionsParameter') -> 'Any'
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16,039
sqlalchemy.sql.annotation
_gen_annotations_cache_key
null
def _gen_annotations_cache_key( self, anon_map: anon_map ) -> Tuple[Any, ...]: return ( "_annotations", tuple( ( key, ( value._gen_cache_key(anon_map, []) if isinstance(value, HasCacheKey) else value ), ) for key, value in [ (key, self._annotations[key]) for key in sorted(self._annotations) ] ), )
(self, anon_map: sqlalchemy.cyextension.util.cache_anon_map) -> Tuple[Any, ...]
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16,040
sqlalchemy.sql.cache_key
_gen_cache_key
return an optional cache key. The cache key is a tuple which can contain any series of objects that are hashable and also identifies this object uniquely within the presence of a larger SQL expression or statement, for the purposes of caching the resulting query. The cache key should be based on the SQL compiled structure that would ultimately be produced. That is, two structures that are composed in exactly the same way should produce the same cache key; any difference in the structures that would affect the SQL string or the type handlers should result in a different cache key. If a structure cannot produce a useful cache key, the NO_CACHE symbol should be added to the anon_map and the method should return None.
@util.preload_module("sqlalchemy.sql.elements") def _gen_cache_key( self, anon_map: anon_map, bindparams: List[BindParameter[Any]] ) -> Optional[Tuple[Any, ...]]: """return an optional cache key. The cache key is a tuple which can contain any series of objects that are hashable and also identifies this object uniquely within the presence of a larger SQL expression or statement, for the purposes of caching the resulting query. The cache key should be based on the SQL compiled structure that would ultimately be produced. That is, two structures that are composed in exactly the same way should produce the same cache key; any difference in the structures that would affect the SQL string or the type handlers should result in a different cache key. If a structure cannot produce a useful cache key, the NO_CACHE symbol should be added to the anon_map and the method should return None. """ cls = self.__class__ id_, found = anon_map.get_anon(self) if found: return (id_, cls) dispatcher: Union[ Literal[CacheConst.NO_CACHE], _CacheKeyTraversalDispatchType, ] try: dispatcher = cls.__dict__["_generated_cache_key_traversal"] except KeyError: # traversals.py -> _preconfigure_traversals() # may be used to run these ahead of time, but # is not enabled right now. # this block will generate any remaining dispatchers. dispatcher = cls._generate_cache_attrs() if dispatcher is NO_CACHE: anon_map[NO_CACHE] = True return None result: Tuple[Any, ...] = (id_, cls) # inline of _cache_key_traversal_visitor.run_generated_dispatch() for attrname, obj, meth in dispatcher( self, _cache_key_traversal_visitor ): if obj is not None: # TODO: see if C code can help here as Python lacks an # efficient switch construct if meth is STATIC_CACHE_KEY: sck = obj._static_cache_key if sck is NO_CACHE: anon_map[NO_CACHE] = True return None result += (attrname, sck) elif meth is ANON_NAME: elements = util.preloaded.sql_elements if isinstance(obj, elements._anonymous_label): obj = obj.apply_map(anon_map) # type: ignore result += (attrname, obj) elif meth is CALL_GEN_CACHE_KEY: result += ( attrname, obj._gen_cache_key(anon_map, bindparams), ) # remaining cache functions are against # Python tuples, dicts, lists, etc. so we can skip # if they are empty elif obj: if meth is CACHE_IN_PLACE: result += (attrname, obj) elif meth is PROPAGATE_ATTRS: result += ( attrname, obj["compile_state_plugin"], ( obj["plugin_subject"]._gen_cache_key( anon_map, bindparams ) if obj["plugin_subject"] else None ), ) elif meth is InternalTraversal.dp_annotations_key: # obj is here is the _annotations dict. Table uses # a memoized version of it. however in other cases, # we generate it given anon_map as we may be from a # Join, Aliased, etc. # see #8790 if self._gen_static_annotations_cache_key: # type: ignore # noqa: E501 result += self._annotations_cache_key # type: ignore # noqa: E501 else: result += self._gen_annotations_cache_key(anon_map) # type: ignore # noqa: E501 elif ( meth is InternalTraversal.dp_clauseelement_list or meth is InternalTraversal.dp_clauseelement_tuple or meth is InternalTraversal.dp_memoized_select_entities ): result += ( attrname, tuple( [ elem._gen_cache_key(anon_map, bindparams) for elem in obj ] ), ) else: result += meth( # type: ignore attrname, obj, self, anon_map, bindparams ) return result
(self, anon_map: 'anon_map', bindparams: 'List[BindParameter[Any]]') -> 'Optional[Tuple[Any, ...]]'
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16,041
sqlalchemy.sql.base
_generate
null
def _generate(self) -> Self: skip = self._memoized_keys cls = self.__class__ s = cls.__new__(cls) if skip: # ensure this iteration remains atomic s.__dict__ = { k: v for k, v in self.__dict__.copy().items() if k not in skip } else: s.__dict__ = self.__dict__.copy() return s
(self) -> typing_extensions.Self
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16,043
sqlalchemy.sql.selectable
_generate_fromclause_column_proxies
null
def _generate_fromclause_column_proxies( self, fromclause: FromClause ) -> None: fromclause._columns._populate_separate_keys( col._make_proxy(fromclause) for col in self.c )
(self, fromclause: sqlalchemy.sql.selectable.FromClause) -> NoneType
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16,044
sqlalchemy.sql.elements
_get_embedded_bindparams
Return the list of :class:`.BindParameter` objects embedded in the object. This accomplishes the same purpose as ``visitors.traverse()`` or similar would provide, however by making use of the cache key it takes advantage of memoization of the key to result in fewer net method calls, assuming the statement is also going to be executed.
def _get_embedded_bindparams(self) -> Sequence[BindParameter[Any]]: """Return the list of :class:`.BindParameter` objects embedded in the object. This accomplishes the same purpose as ``visitors.traverse()`` or similar would provide, however by making use of the cache key it takes advantage of memoization of the key to result in fewer net method calls, assuming the statement is also going to be executed. """ key = self._generate_cache_key() if key is None: bindparams: List[BindParameter[Any]] = [] traverse(self, {}, {"bindparam": bindparams.append}) return bindparams else: return key.bindparams
(self) -> Sequence[sqlalchemy.sql.elements.BindParameter[Any]]
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16,045
sqlalchemy.sql.selectable
_init_collections
null
def _init_collections(self) -> None: assert "_columns" not in self.__dict__ assert "primary_key" not in self.__dict__ assert "foreign_keys" not in self.__dict__ self._columns = ColumnCollection() self.primary_key = ColumnSet() # type: ignore self.foreign_keys = set() # type: ignore
(self) -> NoneType
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16,046
sqlalchemy.sql.selectable
_is_lexical_equivalent
Return ``True`` if this :class:`_expression.FromClause` and the other represent the same lexical identity. This tests if either one is a copy of the other, or if they are the same via annotation identity.
def _is_lexical_equivalent(self, other: FromClause) -> bool: """Return ``True`` if this :class:`_expression.FromClause` and the other represent the same lexical identity. This tests if either one is a copy of the other, or if they are the same via annotation identity. """ return bool(self._cloned_set.intersection(other._cloned_set))
(self, other: sqlalchemy.sql.selectable.FromClause) -> bool
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16,047
sqlalchemy.sql.elements
_make_proxy
Create a new :class:`_expression.ColumnElement` representing this :class:`_expression.ColumnElement` as it appears in the select list of a descending selectable.
def _make_proxy( self, selectable: FromClause, *, name: Optional[str] = None, key: Optional[str] = None, name_is_truncatable: bool = False, compound_select_cols: Optional[Sequence[ColumnElement[Any]]] = None, **kw: Any, ) -> typing_Tuple[str, ColumnClause[_T]]: """Create a new :class:`_expression.ColumnElement` representing this :class:`_expression.ColumnElement` as it appears in the select list of a descending selectable. """ if name is None: name = self._anon_name_label if key is None: key = self._proxy_key else: key = name assert key is not None co: ColumnClause[_T] = ColumnClause( ( coercions.expect(roles.TruncatedLabelRole, name) if name_is_truncatable else name ), type_=getattr(self, "type", None), _selectable=selectable, ) co._propagate_attrs = selectable._propagate_attrs if compound_select_cols: co._proxies = list(compound_select_cols) else: co._proxies = [self] if selectable._is_clone_of is not None: co._is_clone_of = selectable._is_clone_of.columns.get(key) return key, co
(self, selectable: 'FromClause', *, name: 'Optional[str]' = None, key: 'Optional[str]' = None, name_is_truncatable: 'bool' = False, compound_select_cols: 'Optional[Sequence[ColumnElement[Any]]]' = None, **kw: 'Any') -> 'typing_Tuple[str, ColumnClause[_T]]'
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16,048
sqlalchemy.sql.elements
_negate
null
def _negate(self) -> ColumnElement[Any]: if self.type._type_affinity is type_api.BOOLEANTYPE._type_affinity: return AsBoolean(self, operators.is_false, operators.is_true) else: grouped = self.self_group(against=operators.inv) assert isinstance(grouped, ColumnElement) return UnaryExpression( grouped, operator=operators.inv, wraps_column_expression=True )
(self) -> sqlalchemy.sql.elements.ColumnElement[typing.Any]
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16,049
sqlalchemy.sql.elements
_negate_in_binary
a hook to allow the right side of a binary expression to respond to a negation of the binary expression. Used for the special case of expanding bind parameter with IN.
def _negate_in_binary(self, negated_op, original_op): """a hook to allow the right side of a binary expression to respond to a negation of the binary expression. Used for the special case of expanding bind parameter with IN. """ return self
(self, negated_op, original_op)
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16,051
sqlalchemy.sql.selectable
_populate_column_collection
Called on subclasses to establish the .c collection. Each implementation has a different way of establishing this collection.
def _populate_column_collection(self) -> None: """Called on subclasses to establish the .c collection. Each implementation has a different way of establishing this collection. """
(self) -> NoneType
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16,052
sqlalchemy.sql.operators
_rconcat
Implement an 'rconcat' operator. this is for internal use at the moment .. versionadded:: 1.4.40
def _rconcat(self, other: Any) -> ColumnOperators: """Implement an 'rconcat' operator. this is for internal use at the moment .. versionadded:: 1.4.40 """ return self.reverse_operate(concat_op, other)
(self, other: Any) -> sqlalchemy.sql.operators.ColumnOperators
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16,053
sqlalchemy.sql.selectable
_refresh_for_new_column
Given a column added to the .c collection of an underlying selectable, produce the local version of that column, assuming this selectable ultimately should proxy this column. this is used to "ping" a derived selectable to add a new column to its .c. collection when a Column has been added to one of the Table objects it ultimately derives from. If the given selectable hasn't populated its .c. collection yet, it should at least pass on the message to the contained selectables, but it will return None. This method is currently used by Declarative to allow Table columns to be added to a partially constructed inheritance mapping that may have already produced joins. The method isn't public right now, as the full span of implications and/or caveats aren't yet clear. It's also possible that this functionality could be invoked by default via an event, which would require that selectables maintain a weak referencing collection of all derivations.
def _refresh_for_new_column(self, column: ColumnElement[Any]) -> None: """Given a column added to the .c collection of an underlying selectable, produce the local version of that column, assuming this selectable ultimately should proxy this column. this is used to "ping" a derived selectable to add a new column to its .c. collection when a Column has been added to one of the Table objects it ultimately derives from. If the given selectable hasn't populated its .c. collection yet, it should at least pass on the message to the contained selectables, but it will return None. This method is currently used by Declarative to allow Table columns to be added to a partially constructed inheritance mapping that may have already produced joins. The method isn't public right now, as the full span of implications and/or caveats aren't yet clear. It's also possible that this functionality could be invoked by default via an event, which would require that selectables maintain a weak referencing collection of all derivations. """ self._reset_column_collection()
(self, column: sqlalchemy.sql.elements.ColumnElement[typing.Any]) -> NoneType
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16,054
sqlalchemy.sql.elements
_replace_params
null
def _replace_params( self, unique: bool, optionaldict: Optional[Mapping[str, Any]], kwargs: Dict[str, Any], ) -> Self: if optionaldict: kwargs.update(optionaldict) def visit_bindparam(bind: BindParameter[Any]) -> None: if bind.key in kwargs: bind.value = kwargs[bind.key] bind.required = False if unique: bind._convert_to_unique() return cloned_traverse( self, {"maintain_key": True, "detect_subquery_cols": True}, {"bindparam": visit_bindparam}, )
(self, unique: bool, optionaldict: Optional[Mapping[str, Any]], kwargs: Dict[str, Any]) -> typing_extensions.Self
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16,055
sqlalchemy.sql.selectable
_reset_column_collection
Reset the attributes linked to the ``FromClause.c`` attribute. This collection is separate from all the other memoized things as it has shown to be sensitive to being cleared out in situations where enclosing code, typically in a replacement traversal scenario, has already established strong relationships with the exported columns. The collection is cleared for the case where a table is having a column added to it as well as within a Join during copy internals.
def _reset_column_collection(self) -> None: """Reset the attributes linked to the ``FromClause.c`` attribute. This collection is separate from all the other memoized things as it has shown to be sensitive to being cleared out in situations where enclosing code, typically in a replacement traversal scenario, has already established strong relationships with the exported columns. The collection is cleared for the case where a table is having a column added to it as well as within a Join during copy internals. """ for key in ["_columns", "columns", "c", "primary_key", "foreign_keys"]: self.__dict__.pop(key, None)
(self) -> NoneType
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16,056
sqlalchemy.util.langhelpers
_reset_memoizations
null
def _reset_memoizations(self) -> None: for elem in self._memoized_keys: self.__dict__.pop(elem, None)
(self) -> NoneType
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16,057
sqlalchemy.sql.base
_set_compile_options
Assign the compile options to a new value. :param compile_options: appropriate CacheableOptions structure
# 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, compile_options: sqlalchemy.sql.base.CacheableOptions) -> typing_extensions.Self
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16,058
sqlalchemy.util.langhelpers
_set_memoized_attribute
null
def _set_memoized_attribute(self, key: str, value: Any) -> None: self.__dict__[key] = value self._memoized_keys |= {key}
(self, key: str, value: Any) -> NoneType
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16,059
sqlalchemy.sql.elements
_set_propagate_attrs
null
def _set_propagate_attrs(self, values: Mapping[str, Any]) -> Self: # usually, self._propagate_attrs is empty here. one case where it's # not is a subquery against ORM select, that is then pulled as a # property of an aliased class. should all be good # assert not self._propagate_attrs self._propagate_attrs = util.immutabledict(values) return self
(self, values: Mapping[str, Any]) -> typing_extensions.Self
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16,060
sqlalchemy.sql.elements
_uncached_proxy_list
An 'uncached' version of proxy set. This list includes annotated columns which perform very poorly in set operations.
def _uncached_proxy_list(self) -> List[ColumnElement[Any]]: """An 'uncached' version of proxy set. This list includes annotated columns which perform very poorly in set operations. """ return [self] + list( itertools.chain(*[c._uncached_proxy_list() for c in self._proxies]) )
(self) -> List[sqlalchemy.sql.elements.ColumnElement[Any]]
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16,061
sqlalchemy.sql.elements
_ungroup
Return this :class:`_expression.ClauseElement` without any groupings.
def _ungroup(self) -> ClauseElement: """Return this :class:`_expression.ClauseElement` without any groupings. """ return self
(self) -> sqlalchemy.sql.elements.ClauseElement
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16,062
sqlalchemy.sql.base
_update_compile_options
update the _compile_options with new keys.
# 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.CacheableOptions) -> typing_extensions.Self
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16,063
sqlalchemy.sql.annotation
_with_annotations
return a copy of this ClauseElement with annotations replaced by the given dictionary.
def _with_annotations(self, values: _AnnotationDict) -> Self: """return a copy of this ClauseElement with annotations replaced by the given dictionary. """ return Annotated._as_annotated_instance(self, values) # type: ignore
(self, values: Mapping[str, Any]) -> typing_extensions.Self
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