Struct aws_smithy_http_server_python::PySocket

pub struct PySocket { /* private fields */ }

Socket implementation that can be shared between multiple Python processes.

Python cannot handle true multi-threaded applications due to the GIL, often resulting in reduced performance and only one core used by the application. To work around this, Python web applications usually create a socket with SO_REUSEADDR and SO_REUSEPORT enabled that can be shared between multiple Python processes, allowing you to maximize performance and use all available computing capacity of the host.

:param address str: :param port int: :param backlog typing.Optional[int]: :rtype None:

Implementations

impl PySocket

pub fn new(address: String, port: i32, backlog: Option<i32>) -> PyResult<Self>

Create a new UNIX SharedSocket from an address, port and backlog. If not specified, the backlog defaults to 1024 connections.

pub fn try_clone(&self) -> PyResult<PySocket>

Clone the inner socket allowing it to be shared between multiple Python processes.

:rtype PySocket:

impl PySocket

pub fn get_socket(&self) -> Result<Socket, Error>

Get a cloned inner socket.

Trait Implementations

impl Debug for PySocket

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

Formats the value using the given formatter.

impl IntoPy<Py<PyAny>> for PySocket

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

Performs the conversion.

impl PyClass for PySocket

type Frozen = False

Whether the pyclass is frozen.

impl PyClassImpl for PySocket

const DOC: &'static str = "PySocket($self, address, port, backlog=None)\n--\n\nSocket implementation that can be shared between multiple Python processes.\n\nPython cannot handle true multi-threaded applications due to the [GIL],\noften resulting in reduced performance and only one core used by the application.\nTo work around this, Python web applications usually create a socket with\nSO_REUSEADDR and SO_REUSEPORT enabled that can be shared between multiple\nPython processes, allowing you to maximize performance and use all available\ncomputing capacity of the host.\n\n[GIL]: https://wiki.python.org/moin/GlobalInterpreterLock\n\n:param address str:\n:param port int:\n:param backlog typing.Optional\\[int\\]:\n:rtype None:\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<PySocket>

Layout

type BaseType = PyAny

Base class

type ThreadChecker = ThreadCheckerStub<PySocket>

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 PySocket

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

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

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

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

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

impl PyMethods<PySocket> for PyClassImplCollector<PySocket>

fn py_methods(self) -> &'static PyClassItems

impl PyTypeInfo for PySocket

type AsRefTarget = PyCell<PySocket>

Utility type to make Py::as_ref work.

const NAME: &'static str = "PySocket"

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.