Struct aws_smithy_http_server_python::PyHandler

pub struct PyHandler {
    pub func: PyObject,
    pub args: usize,
    pub is_coroutine: bool,
}

A Python handler function representation.

The Python business logic implementation needs to carry some information to be executed properly like the size of its arguments and if it is a coroutine.

Fields

func: PyObject

args: usize

is_coroutine: bool

Trait Implementations

impl Clone for PyHandler

fn clone(&self) -> PyHandler

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for PyHandler

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Deref for PyHandler

type Target = Py<PyAny>

The resulting type after dereferencing.

fn deref(&self) -> &Self::Target

Dereferences the value.

impl IntoPy<Py<PyAny>> for PyHandler

fn into_py(self, py: Python<'_>) -> PyObject

Performs the conversion.

impl PyClass for PyHandler

type Frozen = False

Whether the pyclass is frozen.

impl PyClassImpl for PyHandler

const DOC: &'static str = "A Python handler function representation.\n\nThe Python business logic implementation needs to carry some information\nto be executed properly like the size of its arguments and if it is\na coroutine.\u{0}"

Class doc string

const IS_BASETYPE: bool = false

#[pyclass(subclass)]

const IS_SUBCLASS: bool = false

#[pyclass(extends=…)]

const IS_MAPPING: bool = false

#[pyclass(mapping)]

const IS_SEQUENCE: bool = false

#[pyclass(sequence)]

type Layout = PyCell<PyHandler>

Layout

type BaseType = PyAny

Base class

type ThreadChecker = ThreadCheckerStub<PyHandler>

This handles following two situations:

type PyClassMutability = <<PyAny as PyClassBaseType>::PyClassMutability as PyClassMutability>::MutableChild

Immutable or mutable

type Dict = PyClassDummySlot

Specify this class has #[pyclass(dict)] or not.

type WeakRef = PyClassDummySlot

Specify this class has #[pyclass(weakref)] or not.

type BaseNativeType = PyAny

The closest native ancestor. This is PyAny by default, and when you declare #[pyclass(extends=PyDict)], it’s PyDict.

fn items_iter() -> PyClassItemsIter

fn lazy_type_object() -> &'static LazyTypeObject<Self>

fn dict_offset() -> Option<isize>

fn weaklist_offset() -> Option<isize>

impl<'a, 'py> PyFunctionArgument<'a, 'py> for &'a PyHandler

type Holder = Option<PyRef<'py, PyHandler>>

fn extract(obj: &'py PyAny, holder: &'a mut Self::Holder) -> PyResult<Self>

impl<'a, 'py> PyFunctionArgument<'a, 'py> for &'a mut PyHandler

type Holder = Option<PyRefMut<'py, PyHandler>>

fn extract(obj: &'py PyAny, holder: &'a mut Self::Holder) -> PyResult<Self>

impl PyTypeInfo for PyHandler

type AsRefTarget = PyCell<PyHandler>

Utility type to make Py::as_ref work.

const NAME: &'static str = "PyHandler"

Class name.

const MODULE: Option<&'static str> = ::core::option::Option::None

Module name, if any.

fn type_object_raw(py: Python<'_>) -> *mut PyTypeObject

Returns the PyTypeObject instance for this type.

fn type_object(py: Python<'_>) -> &PyType

Returns the safe abstraction over the type object.

fn is_type_of(object: &PyAny) -> bool

Checks if object is an instance of this type or a subclass of this type.

fn is_exact_type_of(object: &PyAny) -> bool

Checks if object is an instance of this type.