# Event Loop

Source code: Lib/asyncio/events.py, Lib/asyncio/base_events.py

Preface

The event loop is the core of every asyncio application. Event loops run asynchronous tasks and callbacks, perform network IO operations, and run subprocesses.

Application developers should typically use the high-level asyncio functions, such as `asyncio.run()`, and should rarely need to reference the loop object or call its methods. This section is intended mostly for authors of lower-level code, libraries, and frameworks, who need finer control over the event loop behavior.

Obtaining the Event Loop

The following low-level functions can be used to get, set, or create an event loop:

asyncio.get_running_loop()

  Return the running event loop in the current OS thread.

  Raise a `RuntimeError` if there is no running event loop.

  This function can only be called from a coroutine or a callback.

  Added in version 3.7.

asyncio.get_event_loop()

  Get the current event loop.

  When called from a coroutine or a callback (e.g. scheduled with call_soon or similar API), this function will always return the running event loop.

  If there is no running event loop set, the function will return the result of the `get_event_loop_policy().get_event_loop()` call.

  Because this function has rather complex behavior (especially when custom event loop policies are in use), using the `get_running_loop()` function is preferred to `get_event_loop()` in coroutines and callbacks.

  As noted above, consider using the higher-level `asyncio.run()` function, instead of using these lower level functions to manually create and close an event loop.

  Deprecated since version 3.12: Deprecation warning is emitted if there is no current event loop. In some future Python release this will become an error.

asyncio.set_event_loop(loop)

  Set loop as the current event loop for the current OS thread.

asyncio.new_event_loop()

  Create and return a new event loop object.

Note that the behaviour of `get_event_loop()`, `set_event_loop()`, and `new_event_loop()` functions can be altered by setting a custom event loop policy.

Contents

This documentation page contains the following sections:

- The Event Loop Methods section is the reference documentation of the event loop APIs;

- The Callback Handles section documents the `Handle` and `TimerHandle` instances which are returned from scheduling methods such as `loop.call_soon()` and `loop.call_later()`;

- The Server Objects section documents types returned from event loop methods like `loop.create_server()`;

- The Event Loop Implementations section documents the `SelectorEventLoop` and `ProactorEventLoop` classes;

- The Examples section showcases how to work with some event loop APIs.

## Event Loop Methods

Event loops have low-level APIs for the following:

### Running and stopping the loop

loop.run_until_complete(future)

  Run until the future (an instance of `Future`) has completed.

  If the argument is a coroutine object it is implicitly scheduled to run as a `asyncio.Task`.

  Return the Future’s result or raise its exception.

loop.run_forever()

  Run the event loop until `stop()` is called.

  If `stop()` is called before `run_forever()` is called, the loop will poll the I/O selector once with a timeout of zero, run all callbacks scheduled in response to I/O events (and those that were already scheduled), and then exit.

  If `stop()` is called while `run_forever()` is running, the loop will run the current batch of callbacks and then exit. Note that new callbacks scheduled by callbacks will not run in this case; instead, they will run the next time `run_forever()` or `run_until_complete()` is called.

loop.stop()

  Stop the event loop.

loop.is_running()

  Return `True` if the event loop is currently running.

loop.is_closed()

  Return `True` if the event loop was closed.

loop.close()

  Close the event loop.

  The loop must not be running when this function is called. Any pending callbacks will be discarded.

  This method clears all queues and shuts down the executor, but does not wait for the executor to finish.

  This method is idempotent and irreversible. No other methods should be called after the event loop is closed.

async loop.shutdown_asyncgens()

  Schedule all currently open asynchronous generator objects to close with an `aclose()` call. After calling this method, the event loop will issue a warning if a new asynchronous generator is iterated. This should be used to reliably finalize all scheduled asynchronous generators.

  Note that there is no need to call this function when `asyncio.run()` is used.

  Example:

      try:
          loop.run_forever()
      finally:
          loop.run_until_complete(loop.shutdown_asyncgens())
          loop.close()

  Added in version 3.6.

async loop.shutdown_default_executor(timeout=None)

  Schedule the closure of the default executor and wait for it to join all of the threads in the `ThreadPoolExecutor`. Once this method has been called, using the default executor with `loop.run_in_executor()` will raise a `RuntimeError`.

  The timeout parameter specifies the amount of time (in `float` seconds) the executor will be given to finish joining. With the default, `None`, the executor is allowed an unlimited amount of time.

  If the timeout is reached, a `RuntimeWarning` is emitted and the default executor is terminated without waiting for its threads to finish joining.

  Note

  Do not call this method when using `asyncio.run()`, as the latter handles default executor shutdown automatically.

  Added in version 3.9.

  Changed in version 3.12: Added the timeout parameter.

### Scheduling callbacks

loop.call_soon(callback, *args, context=None)

  Schedule the callback callback to be called with args arguments at the next iteration of the event loop.

  Return an instance of `asyncio.Handle`, which can be used later to cancel the callback.

  Callbacks are called in the order in which they are registered. Each callback will be called exactly once.

  The optional keyword-only context argument specifies a custom `contextvars.Context` for the callback to run in. Callbacks use the current context when no context is provided.

  Unlike `call_soon_threadsafe()`, this method is not thread-safe.

loop.call_soon_threadsafe(callback, *args, context=None)

  A thread-safe variant of `call_soon()`. When scheduling callbacks from another thread, this function must be used, since `call_soon()` is not thread-safe.

  This function is safe to be called from a reentrant context or signal handler, however, it is not safe or fruitful to use the returned handle in such contexts.

  Raises `RuntimeError` if called on a loop that’s been closed. This can happen on a secondary thread when the main application is shutting down.

  See the concurrency and multithreading section of the documentation.

  Changed in version 3.7: The context keyword-only parameter was added. See PEP 567 for more details.

Note

Most `asyncio` scheduling functions don’t allow passing keyword arguments. To do that, use `functools.partial()`:

    # will schedule "print("Hello", flush=True)"
    loop.call_soon(
        functools.partial(print, "Hello", flush=True))

Using partial objects is usually more convenient than using lambdas, as asyncio can render partial objects better in debug and error messages.

### Scheduling delayed callbacks

Event loop provides mechanisms to schedule callback functions to be called at some point in the future. Event loop uses monotonic clocks to track time.

loop.call_later(delay, callback, *args, context=None)

  Schedule callback to be called after the given delay number of seconds (can be either an int or a float).

  An instance of `asyncio.TimerHandle` is returned which can be used to cancel the callback.

  callback will be called exactly once. If two callbacks are scheduled for exactly the same time, the order in which they are called is undefined.

  The optional positional args will be passed to the callback when it is called. If you want the callback to be called with keyword arguments use `functools.partial()`.

  An optional keyword-only context argument allows specifying a custom `contextvars.Context` for the callback to run in. The current context is used when no context is provided.

  Changed in version 3.7: The context keyword-only parameter was added. See PEP 567 for more details.

  Changed in version 3.8: In Python 3.7 and earlier with the default event loop implementation, the delay could not exceed one day. This has been fixed in Python 3.8.

loop.call_at(when, callback, *args, context=None)

  Schedule callback to be called at the given absolute timestamp when (an int or a float), using the same time reference as `loop.time()`.

  This method’s behavior is the same as `call_later()`.

  An instance of `asyncio.TimerHandle` is returned which can be used to cancel the callback.

  Changed in version 3.7: The context keyword-only parameter was added. See PEP 567 for more details.

  Changed in version 3.8: In Python 3.7 and earlier with the default event loop implementation, the difference between when and the current time could not exceed one day. This has been fixed in Python 3.8.

loop.time()

  Return the current time, as a `float` value, according to the event loop’s internal monotonic clock.

Note

Changed in version 3.8: In Python 3.7 and earlier timeouts (relative delay or absolute when) should not exceed one day. This has been fixed in Python 3.8.

See also

The `asyncio.sleep()` function.

### Creating Futures and Tasks

loop.create_future()

  Create an `asyncio.Future` object attached to the event loop.

  This is the preferred way to create Futures in asyncio. This lets third-party event loops provide alternative implementations of the Future object (with better performance or instrumentation).

  Added in version 3.5.2.

loop.create_task(coro, *, name=None, context=None)

  Schedule the execution of coroutine coro. Return a `Task` object.

  Third-party event loops can use their own subclass of `Task` for interoperability. In this case, the result type is a subclass of `Task`.

  If the name argument is provided and not `None`, it is set as the name of the task using `Task.set_name()`.

  An optional keyword-only context argument allows specifying a custom `contextvars.Context` for the coro to run in. The current context copy is created when no context is provided.

  Changed in version 3.8: Added the name parameter.

  Changed in version 3.11: Added the context parameter.

loop.set_task_factory(factory)

  Set a task factory that will be used by `loop.create_task()`.

  If factory is `None` the default task factory will be set. Otherwise, factory must be a callable with the signature matching `(loop, coro, context=None)`, where loop is a reference to the active event loop, and coro is a coroutine object. The callable must return a `asyncio.Future`-compatible object.

loop.get_task_factory()

  Return a task factory or `None` if the default one is in use.

### Opening network connections

async loop.create_connection(protocol_factory, host=None, port=None, *, ssl=None, family=0, proto=0, flags=0, sock=None, local_addr=None, server_hostname=None, ssl_handshake_timeout=None, ssl_shutdown_timeout=None, happy_eyeballs_delay=None, interleave=None, all_errors=False)

  Open a streaming transport connection to a given address specified by host and port.

  The socket family can be either `AF_INET` or `AF_INET6` depending on host (or the family argument, if provided).

  The socket type will be `SOCK_STREAM`.

  protocol_factory must be a callable returning an asyncio protocol implementation.

  This method will try to establish the connection in the background. When successful, it returns a `(transport, protocol)` pair.

  The chronological synopsis of the underlying operation is as follows:

  1. The connection is established and a transport is created for it.

  2. protocol_factory is called without arguments and is expected to return a protocol instance.

  3. The protocol instance is coupled with the transport by calling its `connection_made()` method.

  4. A `(transport, protocol)` tuple is returned on success.

  The created transport is an implementation-dependent bidirectional stream.

  Other arguments:

  - ssl: if given and not false, a SSL/TLS transport is created (by default a plain TCP transport is created). If ssl is a `ssl.SSLContext` object, this context is used to create the transport; if ssl is `True`, a default context returned from `ssl.create_default_context()` is used.

    See also

    SSL/TLS security considerations

  - server_hostname sets or overrides the hostname that the target server’s certificate will be matched against. Should only be passed if ssl is not `None`. By default the value of the host argument is used. If host is empty, there is no default and you must pass a value for server_hostname. If server_hostname is an empty string, hostname matching is disabled (which is a serious security risk, allowing for potential man-in-the-middle attacks).

  - family, proto, flags are the optional address family, protocol and flags to be passed through to getaddrinfo() for host resolution. If given, these should all be integers from the corresponding `socket` module constants.

  - happy_eyeballs_delay, if given, enables Happy Eyeballs for this connection. It should be a floating-point number representing the amount of time in seconds to wait for a connection attempt to complete, before starting the next attempt in parallel. This is the “Connection Attempt Delay” as defined in RFC 8305. A sensible default value recommended by the RFC is `0.25` (250 milliseconds).

  - interleave controls address reordering when a host name resolves to multiple IP addresses. If `0` or unspecified, no reordering is done, and addresses are tried in the order returned by `getaddrinfo()`. If a positive integer is specified, the addresses are interleaved by address family, and the given integer is interpreted as “First Address Family Count” as defined in RFC 8305. The default is `0` if happy_eyeballs_delay is not specified, and `1` if it is.

  - sock, if given, should be an existing, already connected `socket.socket` object to be used by the transport. If sock is given, none of host, port, family, proto, flags, happy_eyeballs_delay, interleave and local_addr should be specified.

    Note

    The sock argument transfers ownership of the socket to the transport created. To close the socket, call the transport’s `close()` method.

  - local_addr, if given, is a `(local_host, local_port)` tuple used to bind the socket locally. The local_host and local_port are looked up using `getaddrinfo()`, similarly to host and port.

  - ssl_handshake_timeout is (for a TLS connection) the time in seconds to wait for the TLS handshake to complete before aborting the connection. `60.0` seconds if `None` (default).

  - ssl_shutdown_timeout is the time in seconds to wait for the SSL shutdown to complete before aborting the connection. `30.0` seconds if `None` (default).

  - all_errors determines what exceptions are raised when a connection cannot be created. By default, only a single `Exception` is raised: the first exception if there is only one or all errors have same message, or a single `OSError` with the error messages combined. When `all_errors` is `True`, an `ExceptionGroup` will be raised containing all exceptions (even if there is only one).

  Changed in version 3.5: Added support for SSL/TLS in `ProactorEventLoop`.

  Changed in version 3.6: The socket option socket.TCP_NODELAY is set by default for all TCP connections.

  Changed in version 3.7: Added the ssl_handshake_timeout parameter.

  Changed in version 3.8: Added the happy_eyeballs_delay and interleave parameters.

  Happy Eyeballs Algorithm: Success with Dual-Stack Hosts. When a server’s IPv4 path and protocol are working, but the server’s IPv6 path and protocol are not working, a dual-stack client application experiences significant connection delay compared to an IPv4-only client. This is undesirable because it causes the dual-stack client to have a worse user experience. This document specifies requirements for algorithms that reduce this user-visible delay and provides an algorithm.

  For more information: https://datatracker.ietf.org/doc/html/rfc6555

  Changed in version 3.11: Added the ssl_shutdown_timeout parameter.

  Changed in version 3.12: all_errors was added.

  See also

  The `open_connection()` function is a high-level alternative API. It returns a pair of (`StreamReader`, `StreamWriter`) that can be used directly in async/await code.

async loop.create_datagram_endpoint(protocol_factory, local_addr=None, remote_addr=None, *, family=0, proto=0, flags=0, reuse_port=None, allow_broadcast=None, sock=None)

  Create a datagram connection.

  The socket family can be either `AF_INET`, `AF_INET6`, or `AF_UNIX`, depending on host (or the family argument, if provided).

  The socket type will be `SOCK_DGRAM`.

  protocol_factory must be a callable returning a protocol implementation.

  A tuple of `(transport, protocol)` is returned on success.

  Other arguments:

  - local_addr, if given, is a `(local_host, local_port)` tuple used to bind the socket locally. The local_host and local_port are looked up using `getaddrinfo()`.

  - remote_addr, if given, is a `(remote_host, remote_port)` tuple used to connect the socket to a remote address. The remote_host and remote_port are looked up using `getaddrinfo()`.

  - family, proto, flags are the optional address family, protocol and flags to be passed through to `getaddrinfo()` for host resolution. If given, these should all be integers from the corresponding `socket` module constants.

  - reuse_port tells the kernel to allow this endpoint to be bound to the same port as other existing endpoints are bound to, so long as they all set this flag when being created. This option is not supported on Windows and some Unixes. If the socket.SO_REUSEPORT constant is not defined then this capability is unsupported.

  - allow_broadcast tells the kernel to allow this endpoint to send messages to the broadcast address.

  - sock can optionally be specified in order to use a preexisting, already connected, `socket.socket` object to be used by the transport. If specified, local_addr and remote_addr should be omitted (must be `None`).

    Note

    The sock argument transfers ownership of the socket to the transport created. To close the socket, call the transport’s `close()` method.

  See UDP echo client protocol and UDP echo server protocol examples.

  Changed in version 3.4.4: The family, proto, flags, reuse_address, reuse_port, allow_broadcast, and sock parameters were added.

  Changed in version 3.8: Added support for Windows.

  Changed in version 3.8.1: The reuse_address parameter is no longer supported, as using socket.SO_REUSEADDR poses a significant security concern for UDP. Explicitly passing `reuse_address=True` will raise an exception.

  When multiple processes with differing UIDs assign sockets to an identical UDP socket address with `SO_REUSEADDR`, incoming packets can become randomly distributed among the sockets.

  For supported platforms, reuse_port can be used as a replacement for similar functionality. With reuse_port, socket.SO_REUSEPORT is used instead, which specifically prevents processes with differing UIDs from assigning sockets to the same socket address.

  Changed in version 3.11: The reuse_address parameter, disabled since Python 3.8.1, 3.7.6 and 3.6.10, has been entirely removed.

async loop.create_unix_connection(protocol_factory, path=None, *, ssl=None, sock=None, server_hostname=None, ssl_handshake_timeout=None, ssl_shutdown_timeout=None)

  Create a Unix connection.

  The socket family will be `AF_UNIX`; socket type will be `SOCK_STREAM`.

  A tuple of `(transport, protocol)` is returned on success.

  path is the name of a Unix domain socket and is required, unless a sock parameter is specified. Abstract Unix sockets, `str`, `bytes`, and `Path` paths are supported.

  See the documentation of the `loop.create_connection()` method for information about arguments to this method.

  Availability: Unix.

  Changed in version 3.7: Added the ssl_handshake_timeout parameter. The path parameter can now be a path-like object.

  Changed in version 3.11: Added the ssl_shutdown_timeout parameter.

### Creating network servers

async loop.create_server(protocol_factory, host=None, port=None, *, family=socket.AF_UNSPEC, flags=socket.AI_PASSIVE, sock=None, backlog=100, ssl=None, reuse_address=None, reuse_port=None, ssl_handshake_timeout=None, ssl_shutdown_timeout=None, start_serving=True)

  Create a TCP server (socket type `SOCK_STREAM`) listening on port of the host address.

  Returns a `Server` object.

  Arguments:

  - protocol_factory must be a callable returning a protocol implementation.

  - The host parameter can be set to several types which determine where the server would be listening:

    - If host is a string, the TCP server is bound to a single network interface specified by host.

    - If host is a sequence of strings, the TCP server is bound to all network interfaces specified by the sequence.

    - If host is an empty string or `None`, all interfaces are assumed and a list of multiple sockets will be returned (most likely one for IPv4 and another one for IPv6).

  - The port parameter can be set to specify which port the server should listen on. If `0` or `None` (the default), a random unused port will be selected (note that if host resolves to multiple network interfaces, a different random port will be selected for each interface).

  - family can be set to either `socket.AF_INET` or `AF_INET6` to force the socket to use IPv4 or IPv6. If not set, the family will be determined from host name (defaults to `AF_UNSPEC`).

  - flags is a bitmask for `getaddrinfo()`.

  - sock can optionally be specified in order to use a preexisting socket object. If specified, host and port must not be specified.

    Note

    The sock argument transfers ownership of the socket to the server created. To close the socket, call the server’s `close()` method.

  - backlog is the maximum number of queued connections passed to `listen()` (defaults to 100).

  - ssl can be set to an `SSLContext` instance to enable TLS over the accepted connections.

  - reuse_address tells the kernel to reuse a local socket in `TIME_WAIT` state, without waiting for its natural timeout to expire. If not specified will automatically be set to `True` on Unix.

  - reuse_port tells the kernel to allow this endpoint to be bound to the same port as other existing endpoints are bound to, so long as they all set this flag when being created. This option is not supported on Windows.

  - ssl_handshake_timeout is (for a TLS server) the time in seconds to wait for the TLS handshake to complete before aborting the connection. `60.0` seconds if `None` (default).

  - ssl_shutdown_timeout is the time in seconds to wait for the SSL shutdown to complete before aborting the connection. `30.0` seconds if `None` (default).

  - start_serving set to `True` (the default) causes the created server to start accepting connections immediately. When set to `False`, the user should await on `Server.start_serving()` or `Server.serve_forever()` to make the server to start accepting connections.

  Changed in version 3.5: Added support for SSL/TLS in `ProactorEventLoop`.

  Changed in version 3.5.1: The host parameter can be a sequence of strings.

  Changed in version 3.6: Added ssl_handshake_timeout and start_serving parameters. The socket option socket.TCP_NODELAY is set by default for all TCP connections.

  Changed in version 3.11: Added the ssl_shutdown_timeout parameter.

  See also

  The `start_server()` function is a higher-level alternative API that returns a pair of `StreamReader` and `StreamWriter` that can be used in an async/await code.

async loop.create_unix_server(protocol_factory, path=None, *, sock=None, backlog=100, ssl=None, ssl_handshake_timeout=None, ssl_shutdown_timeout=None, start_serving=True)

  Similar to `loop.create_server()` but works with the `AF_UNIX` socket family.

  path is the name of a Unix domain socket, and is required, unless a sock argument is provided. Abstract Unix sockets, `str`, `bytes`, and `Path` paths are supported.

  See the documentation of the `loop.create_server()` method for information about arguments to this method.

  Availability: Unix.

  Changed in version 3.7: Added the ssl_handshake_timeout and start_serving parameters. The path parameter can now be a `Path` object.

  Changed in version 3.11: Added the ssl_shutdown_timeout parameter.

async loop.connect_accepted_socket(protocol_factory, sock, *, ssl=None, ssl_handshake_timeout=None, ssl_shutdown_timeout=None)

  Wrap an already accepted connection into a transport/protocol pair.

  This method can be used by servers that accept connections outside of asyncio but that use asyncio to handle them.

  Parameters:

  - protocol_factory must be a callable returning a protocol implementation.

  - sock is a preexisting socket object returned from `socket.accept`.

    Note

    The sock argument transfers ownership of the socket to the transport created. To close the socket, call the transport’s `close()` method.

  - ssl can be set to an `SSLContext` to enable SSL over the accepted connections.

  - ssl_handshake_timeout is (for an SSL connection) the time in seconds to wait for the SSL handshake to complete before aborting the connection. `60.0` seconds if `None` (default).

  - ssl_shutdown_timeout is the time in seconds to wait for the SSL shutdown to complete before aborting the connection. `30.0` seconds if `None` (default).

  Returns a `(transport, protocol)` pair.

  Added in version 3.5.3.

  Changed in version 3.7: Added the ssl_handshake_timeout parameter.

  Changed in version 3.11: Added the ssl_shutdown_timeout parameter.

### Transferring files

async loop.sendfile(transport, file, offset=0, count=None, *, fallback=True)

  Send a file over a transport. Return the total number of bytes sent.

  The method uses high-performance `os.sendfile()` if available.

  file must be a regular file object opened in binary mode.

  offset tells from where to start reading the file. If specified, count is the total number of bytes to transmit as opposed to sending the file until EOF is reached. File position is always updated, even when this method raises an error, and `file.tell()` can be used to obtain the actual number of bytes sent.

  fallback set to `True` makes asyncio to manually read and send the file when the platform does not support the sendfile system call (e.g. Windows or SSL socket on Unix).

  Raise `SendfileNotAvailableError` if the system does not support the sendfile syscall and fallback is `False`.

  Added in version 3.7.

### TLS Upgrade

async loop.start_tls(transport, protocol, sslcontext, *, server_side=False, server_hostname=None, ssl_handshake_timeout=None, ssl_shutdown_timeout=None)

  Upgrade an existing transport-based connection to TLS.

  Create a TLS coder/decoder instance and insert it between the transport and the protocol. The coder/decoder implements both transport-facing protocol and protocol-facing transport.

  Return the created two-interface instance. After await, the protocol must stop using the original transport and communicate with the returned object only because the coder caches protocol-side data and sporadically exchanges extra TLS session packets with transport.

  In some situations (e.g. when the passed transport is already closing) this may return `None`.

  Parameters:

  - transport and protocol instances that methods like `create_server()` and `create_connection()` return.

  - sslcontext: a configured instance of `SSLContext`.

  - server_side pass `True` when a server-side connection is being upgraded (like the one created by `create_server()`).

  - server_hostname: sets or overrides the host name that the target server’s certificate will be matched against.

  - ssl_handshake_timeout is (for a TLS connection) the time in seconds to wait for the TLS handshake to complete before aborting the connection. `60.0` seconds if `None` (default).

  - ssl_shutdown_timeout is the time in seconds to wait for the SSL shutdown to complete before aborting the connection. `30.0` seconds if `None` (default).

  Added in version 3.7.

  Changed in version 3.11: Added the ssl_shutdown_timeout parameter.

### Watching file descriptors

loop.add_reader(fd, callback, *args)

  Start monitoring the fd file descriptor for read availability and invoke callback with the specified arguments once fd is available for reading.

  Any preexisting callback registered for fd is cancelled and replaced by callback.

loop.remove_reader(fd)

  Stop monitoring the fd file descriptor for read availability. Returns `True` if fd was previously being monitored for reads.

loop.add_writer(fd, callback, *args)

  Start monitoring the fd file descriptor for write availability and invoke callback with the specified arguments once fd is available for writing.

  Any preexisting callback registered for fd is cancelled and replaced by callback.

  Use `functools.partial()` to pass keyword arguments to callback.

loop.remove_writer(fd)

  Stop monitoring the fd file descriptor for write availability. Returns `True` if fd was previously being monitored for writes.

See also Platform Support section for some limitations of these methods.

### Working with socket objects directly

In general, protocol implementations that use transport-based APIs such as `loop.create_connection()` and `loop.create_server()` are faster than implementations that work with sockets directly. However, there are some use cases when performance is not critical, and working with `socket` objects directly is more convenient.

async loop.sock_recv(sock, nbytes)

  Receive up to nbytes from sock. Asynchronous version of `socket.recv()`.

  Return the received data as a bytes object.

  sock must be a non-blocking socket.

  Changed in version 3.7: Even though this method was always documented as a coroutine method, releases before Python 3.7 returned a `Future`. Since Python 3.7 this is an `async def` method.

async loop.sock_recv_into(sock, buf)

  Receive data from sock into the buf buffer. Modeled after the blocking `socket.recv_into()` method.

  Return the number of bytes written to the buffer.

  sock must be a non-blocking socket.

  Added in version 3.7.

async loop.sock_recvfrom(sock, bufsize)

  Receive a datagram of up to bufsize from sock. Asynchronous version of `socket.recvfrom()`.

  Return a tuple of (received data, remote address).

  sock must be a non-blocking socket.

  Added in version 3.11.

async loop.sock_recvfrom_into(sock, buf, nbytes=0)

  Receive a datagram of up to nbytes from sock into buf. Asynchronous version of `socket.recvfrom_into()`.

  Return a tuple of (number of bytes received, remote address).

  sock must be a non-blocking socket.

  Added in version 3.11.

async loop.sock_sendall(sock, data)

  Send data to the sock socket. Asynchronous version of `socket.sendall()`.

  This method continues to send to the socket until either all data in data has been sent or an error occurs. `None` is returned on success. On error, an exception is raised. Additionally, there is no way to determine how much data, if any, was successfully processed by the receiving end of the connection.

  sock must be a non-blocking socket.

  Changed in version 3.7: Even though the method was always documented as a coroutine method, before Python 3.7 it returned a `Future`. Since Python 3.7, this is an `async def` method.

async loop.sock_sendto(sock, data, address)

  Send a datagram from sock to address. Asynchronous version of `socket.sendto()`.

  Return the number of bytes sent.

  sock must be a non-blocking socket.

  Added in version 3.11.

async loop.sock_connect(sock, address)

  Connect sock to a remote socket at address.

  Asynchronous version of `socket.connect()`.

  sock must be a non-blocking socket.

  Changed in version 3.5.2: `address` no longer needs to be resolved. `sock_connect` will try to check if the address is already resolved by calling `socket.inet_pton()`. If not, `loop.getaddrinfo()` will be used to resolve the address.

  See also

  `loop.create_connection()` and `asyncio.open_connection()`.

async loop.sock_accept(sock)

  Accept a connection. Modeled after the blocking `socket.accept()` method.

  The socket must be bound to an address and listening for connections. The return value is a pair `(conn, address)` where conn is a new socket object usable to send and receive data on the connection, and address is the address bound to the socket on the other end of the connection.

  sock must be a non-blocking socket.

  Changed in version 3.7: Even though the method was always documented as a coroutine method, before Python 3.7 it returned a `Future`. Since Python 3.7, this is an `async def` method.

  See also

  `loop.create_server()` and `start_server()`.

async loop.sock_sendfile(sock, file, offset=0, count=None, *, fallback=True)

  Send a file using high-performance `os.sendfile` if possible. Return the total number of bytes sent.

  Asynchronous version of `socket.sendfile()`.

  sock must be a non-blocking `socket.SOCK_STREAM` `socket`.

  file must be a regular file object open in binary mode.

  offset tells from where to start reading the file. If specified, count is the total number of bytes to transmit as opposed to sending the file until EOF is reached. File position is always updated, even when this method raises an error, and `file.tell()` can be used to obtain the actual number of bytes sent.

  fallback, when set to `True`, makes asyncio manually read and send the file when the platform does not support the sendfile syscall (e.g. Windows or SSL socket on Unix).

  Raise `SendfileNotAvailableError` if the system does not support sendfile syscall and fallback is `False`.

  sock must be a non-blocking socket.

  Added in version 3.7.

### DNS

async loop.getaddrinfo(host, port, *, family=0, type=0, proto=0, flags=0)

  Asynchronous version of `socket.getaddrinfo()`.

async loop.getnameinfo(sockaddr, flags=0)

  Asynchronous version of `socket.getnameinfo()`.

Note

Both getaddrinfo and getnameinfo internally utilize their synchronous versions through the loop’s default thread pool executor. When this executor is saturated, these methods may experience delays, which higher-level networking libraries may report as increased timeouts. To mitigate this, consider using a custom executor for other user tasks, or setting a default executor with a larger number of workers.

Changed in version 3.7: Both getaddrinfo and getnameinfo methods were always documented to return a coroutine, but prior to Python 3.7 they were, in fact, returning `asyncio.Future` objects. Starting with Python 3.7 both methods are coroutines.

### Working with pipes

async loop.connect_read_pipe(protocol_factory, pipe)

  Register the read end of pipe in the event loop.

  protocol_factory must be a callable returning an asyncio protocol implementation.

  pipe is a file-like object.

  Return pair `(transport, protocol)`, where transport supports the `ReadTransport` interface and protocol is an object instantiated by the protocol_factory.

  With `SelectorEventLoop` event loop, the pipe is set to non-blocking mode.

async loop.connect_write_pipe(protocol_factory, pipe)

  Register the write end of pipe in the event loop.

  protocol_factory must be a callable returning an asyncio protocol implementation.

  pipe is file-like object.

  Return pair `(transport, protocol)`, where transport supports `WriteTransport` interface and protocol is an object instantiated by the protocol_factory.

  With `SelectorEventLoop` event loop, the pipe is set to non-blocking mode.

Note

`SelectorEventLoop` does not support the above methods on Windows. Use `ProactorEventLoop` instead for Windows.

See also

The `loop.subprocess_exec()` and `loop.subprocess_shell()` methods.

### Unix signals

loop.add_signal_handler(signum, callback, *args)

  Set callback as the handler for the signum signal.

  The callback will be invoked by loop, along with other queued callbacks and runnable coroutines of that event loop. Unlike signal handlers registered using `signal.signal()`, a callback registered with this function is allowed to interact with the event loop.

  Raise `ValueError` if the signal number is invalid or uncatchable. Raise `RuntimeError` if there is a problem setting up the handler.

  Use `functools.partial()` to pass keyword arguments to callback.

  Like `signal.signal()`, this function must be invoked in the main thread.

loop.remove_signal_handler(sig)

  Remove the handler for the sig signal.

  Return `True` if the signal handler was removed, or `False` if no handler was set for the given signal.

  Availability: Unix.

See also

The `signal` module.

### Executing code in thread or process pools

awaitable loop.run_in_executor(executor, func, *args)

  Arrange for func to be called in the specified executor.

  The executor argument should be an `concurrent.futures.Executor` instance. The default executor is used if executor is `None`. The default executor can be set by `loop.set_default_executor()`, otherwise, a `concurrent.futures.ThreadPoolExecutor` will be lazy-initialized and used by `run_in_executor()` if needed.

  Example:

      import asyncio
      import concurrent.futures

      def blocking_io():
          # File operations (such as logging) can block the
          # event loop: run them in a thread pool.
          with open('/dev/urandom', 'rb') as f:
              return f.read(100)

      def cpu_bound():
          # CPU-bound operations will block the event loop:
          # in general it is preferable to run them in a
          # process pool.
          return sum(i * i for i in range(10 ** 7))

      async def main():
          loop = asyncio.get_running_loop()

          ## Options:

          # 1. Run in the default loop's executor:
          result = await loop.run_in_executor(
              None, blocking_io)
          print('default thread pool', result)

          # 2. Run in a custom thread pool:
          with concurrent.futures.ThreadPoolExecutor() as pool:
              result = await loop.run_in_executor(
                  pool, blocking_io)
              print('custom thread pool', result)

          # 3. Run in a custom process pool:
          with concurrent.futures.ProcessPoolExecutor() as pool:
              result = await loop.run_in_executor(
                  pool, cpu_bound)
              print('custom process pool', result)

      if __name__ == '__main__':
          asyncio.run(main())

  Note that the entry point guard (`if __name__ == '__main__'`) is required for option 3 due to the peculiarities of `multiprocessing`, which is used by `ProcessPoolExecutor`. See Safe importing of main module.

  This method returns a `asyncio.Future` object.

  Use `functools.partial()` to pass keyword arguments to func.

  Changed in version 3.5.3: `loop.run_in_executor()` no longer configures the `max_workers` of the thread pool executor it creates, instead leaving it up to the thread pool executor (`ThreadPoolExecutor`) to set the default.

loop.set_default_executor(executor)

  Set executor as the default executor used by `run_in_executor()`. executor must be an instance of `ThreadPoolExecutor`.

  Changed in version 3.11: executor must be an instance of `ThreadPoolExecutor`.

### Error Handling API

Allows customizing how exceptions are handled in the event loop.

loop.set_exception_handler(handler)

  Set handler as the new event loop exception handler.

  If handler is `None`, the default exception handler will be set. Otherwise, handler must be a callable with the signature matching `(loop, context)`, where `loop` is a reference to the active event loop, and `context` is a `dict` object containing the details of the exception (see `call_exception_handler()` documentation for details about context).

  If the handler is called on behalf of a `Task` or `Handle`, it is run in the `contextvars.Context` of that task or callback handle.

  Changed in version 3.12: The handler may be called in the `Context` of the task or handle where the exception originated.

loop.get_exception_handler()

  Return the current exception handler, or `None` if no custom exception handler was set.

  Added in version 3.5.2.

loop.default_exception_handler(context)

  Default exception handler.

  This is called when an exception occurs and no exception handler is set. This can be called by a custom exception handler that wants to defer to the default handler behavior.

  context parameter has the same meaning as in `call_exception_handler()`.

loop.call_exception_handler(context)

  Call the current event loop exception handler.

  context is a `dict` object containing the following keys (new keys may be introduced in future Python versions):

  - ‘message’: Error message;

  - ‘exception’ (optional): Exception object;

  - ‘future’ (optional): `asyncio.Future` instance;

  - ‘task’ (optional): `asyncio.Task` instance;

  - ‘handle’ (optional): `asyncio.Handle` instance;

  - ‘protocol’ (optional): Protocol instance;

  - ‘transport’ (optional): Transport instance;

  - ‘socket’ (optional): `socket.socket` instance;

  - ‘asyncgen’ (optional): Asynchronous generator that caused

      the exception.

  Note

  This method should not be overloaded in subclassed event loops. For custom exception handling, use the `set_exception_handler()` method.

### Enabling debug mode

loop.get_debug()

  Get the debug mode (`bool`) of the event loop.

  The default value is `True` if the environment variable `PYTHONASYNCIODEBUG` is set to a non-empty string, `False` otherwise.

loop.set_debug(enabled: bool)

  Set the debug mode of the event loop.

  Changed in version 3.7: The new Python Development Mode can now also be used to enable the debug mode.

loop.slow_callback_duration

  This attribute can be used to set the minimum execution duration in seconds that is considered “slow”. When debug mode is enabled, “slow” callbacks are logged.

  Default value is 100 milliseconds.

See also

The debug mode of asyncio.

### Running Subprocesses

Methods described in this subsections are low-level. In regular async/await code consider using the high-level `asyncio.create_subprocess_shell()` and `asyncio.create_subprocess_exec()` convenience functions instead.

Note

On Windows, the default event loop `ProactorEventLoop` supports subprocesses, whereas `SelectorEventLoop` does not. See Subprocess Support on Windows for details.

async loop.subprocess_exec(protocol_factory, *args, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, **kwargs)

  Create a subprocess from one or more string arguments specified by args.

  args must be a list of strings represented by:

  - `str`;

  - or `bytes`, encoded to the filesystem encoding.

  The first string specifies the program executable, and the remaining strings specify the arguments. Together, string arguments form the `argv` of the program.

  This is similar to the standard library `subprocess.Popen` class called with `shell=False` and the list of strings passed as the first argument; however, where `Popen` takes a single argument which is list of strings, subprocess_exec takes multiple string arguments.

  The protocol_factory must be a callable returning a subclass of the `asyncio.SubprocessProtocol` class.

  Other parameters:

  - stdin can be any of these:

    - a file-like object

    - an existing file descriptor (a positive integer), for example those created with `os.pipe()`

    - the `subprocess.PIPE` constant (default) which will create a new pipe and connect it,

    - the value `None` which will make the subprocess inherit the file descriptor from this process

    - the `subprocess.DEVNULL` constant which indicates that the special `os.devnull` file will be used

  - stdout can be any of these:

    - a file-like object

    - the `subprocess.PIPE` constant (default) which will create a new pipe and connect it,

    - the value `None` which will make the subprocess inherit the file descriptor from this process

    - the `subprocess.DEVNULL` constant which indicates that the special `os.devnull` file will be used

  - stderr can be any of these:

    - a file-like object

    - the `subprocess.PIPE` constant (default) which will create a new pipe and connect it,

    - the value `None` which will make the subprocess inherit the file descriptor from this process

    - the `subprocess.DEVNULL` constant which indicates that the special `os.devnull` file will be used

    - the `subprocess.STDOUT` constant which will connect the standard error stream to the process’ standard output stream

  - All other keyword arguments are passed to `subprocess.Popen` without interpretation, except for bufsize, universal_newlines, shell, text, encoding and errors, which should not be specified at all.

    The `asyncio` subprocess API does not support decoding the streams as text. `bytes.decode()` can be used to convert the bytes returned from the stream to text.

  If a file-like object passed as stdin, stdout or stderr represents a pipe, then the other side of this pipe should be registered with `connect_write_pipe()` or `connect_read_pipe()` for use with the event loop.

  See the constructor of the `subprocess.Popen` class for documentation on other arguments.

  Returns a pair of `(transport, protocol)`, where transport conforms to the `asyncio.SubprocessTransport` base class and protocol is an object instantiated by the protocol_factory.

async loop.subprocess_shell(protocol_factory, cmd, *, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, **kwargs)

  Create a subprocess from cmd, which can be a `str` or a `bytes` string encoded to the filesystem encoding, using the platform’s “shell” syntax.

  This is similar to the standard library `subprocess.Popen` class called with `shell=True`.

  The protocol_factory must be a callable returning a subclass of the `SubprocessProtocol` class.

  See `subprocess_exec()` for more details about the remaining arguments.

  Returns a pair of `(transport, protocol)`, where transport conforms to the `SubprocessTransport` base class and protocol is an object instantiated by the protocol_factory.

Note

It is the application’s responsibility to ensure that all whitespace and special characters are quoted appropriately to avoid shell injection vulnerabilities. The `shlex.quote()` function can be used to properly escape whitespace and special characters in strings that are going to be used to construct shell commands.

## Callback Handles

class asyncio.Handle

  A callback wrapper object returned by `loop.call_soon()`, `loop.call_soon_threadsafe()`.

  get_context()

    Return the `contextvars.Context` object associated with the handle.

    Added in version 3.12.

  cancel()

    Cancel the callback. If the callback has already been canceled or executed, this method has no effect.

  cancelled()

    Return `True` if the callback was cancelled.

    Added in version 3.7.

class asyncio.TimerHandle

  A callback wrapper object returned by `loop.call_later()`, and `loop.call_at()`.

  This class is a subclass of `Handle`.

  when()

    Return a scheduled callback time as `float` seconds.

    The time is an absolute timestamp, using the same time reference as `loop.time()`.

    Added in version 3.7.

## Server Objects

Server objects are created by `loop.create_server()`, `loop.create_unix_server()`, `start_server()`, and `start_unix_server()` functions.

Do not instantiate the `Server` class directly.

class asyncio.Server

  Server objects are asynchronous context managers. When used in an `async with` statement, it’s guaranteed that the Server object is closed and not accepting new connections when the `async with` statement is completed:

      srv = await loop.create_server(...)

      async with srv:
          # some code

      # At this point, srv is closed and no longer accepts new connections.

  Changed in version 3.7: Server object is an asynchronous context manager since Python 3.7.

  Changed in version 3.11: This class was exposed publicly as `asyncio.Server` in Python 3.9.11, 3.10.3 and 3.11.

  close()

    Stop serving: close listening sockets and set the `sockets` attribute to `None`.

    The sockets that represent existing incoming client connections are left open.

    The server is closed asynchronously; use the `wait_closed()` coroutine to wait until the server is closed (and no more connections are active).

  get_loop()

    Return the event loop associated with the server object.

    Added in version 3.7.

  async start_serving()

    Start accepting connections.

    This method is idempotent, so it can be called when the server is already serving.

    The start_serving keyword-only parameter to `loop.create_server()` and `asyncio.start_server()` allows creating a Server object that is not accepting connections initially. In this case `Server.start_serving()`, or `Server.serve_forever()` can be used to make the Server start accepting connections.

    Added in version 3.7.

  async serve_forever()

    Start accepting connections until the coroutine is cancelled. Cancellation of `serve_forever` task causes the server to be closed.

    This method can be called if the server is already accepting connections. Only one `serve_forever` task can exist per one Server object.

    Example:

        async def client_connected(reader, writer):
            # Communicate with the client with
            # reader/writer streams.  For example:
            await reader.readline()

        async def main(host, port):
            srv = await asyncio.start_server(
                client_connected, host, port)
            await srv.serve_forever()

        asyncio.run(main('127.0.0.1', 0))

    Added in version 3.7.

  is_serving()

    Return `True` if the server is accepting new connections.

    Added in version 3.7.

  async wait_closed()

    Wait until the `close()` method completes and all active connections have finished.

  sockets

    List of socket-like objects, `asyncio.trsock.TransportSocket`, which the server is listening on.

    Changed in version 3.7: Prior to Python 3.7 `Server.sockets` used to return an internal list of server sockets directly. In 3.7 a copy of that list is returned.

## Event Loop Implementations

asyncio ships with two different event loop implementations: `SelectorEventLoop` and `ProactorEventLoop`.

By default asyncio is configured to use `SelectorEventLoop` on Unix and `ProactorEventLoop` on Windows.

class asyncio.SelectorEventLoop

  An event loop based on the `selectors` module.

  Uses the most efficient selector available for the given platform. It is also possible to manually configure the exact selector implementation to be used:

      import asyncio
      import selectors

      class MyPolicy(asyncio.DefaultEventLoopPolicy):
         def new_event_loop(self):
            selector = selectors.SelectSelector()
            return asyncio.SelectorEventLoop(selector)

      asyncio.set_event_loop_policy(MyPolicy())

  Availability: Unix, Windows.

class asyncio.ProactorEventLoop

  An event loop for Windows that uses “I/O Completion Ports” (IOCP).

  Availability: Windows.

  See also

  MSDN documentation on I/O Completion Ports.

class asyncio.AbstractEventLoop

  Abstract base class for asyncio-compliant event loops.

  The Event Loop Methods section lists all methods that an alternative implementation of `AbstractEventLoop` should have defined.

## Examples

Note that all examples in this section purposefully show how to use the low-level event loop APIs, such as `loop.run_forever()` and `loop.call_soon()`. Modern asyncio applications rarely need to be written this way; consider using the high-level functions like `asyncio.run()`.

### Hello World with call_soon()

An example using the `loop.call_soon()` method to schedule a callback. The callback displays `"Hello World"` and then stops the event loop:

    import asyncio

    def hello_world(loop):
        """A callback to print 'Hello World' and stop the event loop"""
        print('Hello World')
        loop.stop()

    loop = asyncio.new_event_loop()

    # Schedule a call to hello_world()
    loop.call_soon(hello_world, loop)

    # Blocking call interrupted by loop.stop()
    try:
        loop.run_forever()
    finally:
        loop.close()

See also

A similar Hello World example created with a coroutine and the `run()` function.

### Display the current date with call_later()

An example of a callback displaying the current date every second. The callback uses the `loop.call_later()` method to reschedule itself after 5 seconds, and then stops the event loop:

    import asyncio
    import datetime

    def display_date(end_time, loop):
        print(datetime.datetime.now())
        if (loop.time() + 1.0) < end_time:
            loop.call_later(1, display_date, end_time, loop)
        else:
            loop.stop()

    loop = asyncio.new_event_loop()

    # Schedule the first call to display_date()
    end_time = loop.time() + 5.0
    loop.call_soon(display_date, end_time, loop)

    # Blocking call interrupted by loop.stop()
    try:
        loop.run_forever()
    finally:
        loop.close()

See also

A similar current date example created with a coroutine and the `run()` function.

### Watch a file descriptor for read events

Wait until a file descriptor received some data using the `loop.add_reader()` method and then close the event loop:

    import asyncio
    from socket import socketpair

    # Create a pair of connected file descriptors
    rsock, wsock = socketpair()

    loop = asyncio.new_event_loop()

    def reader():
        data = rsock.recv(100)
        print("Received:", data.decode())

        # We are done: unregister the file descriptor
        loop.remove_reader(rsock)

        # Stop the event loop
        loop.stop()

    # Register the file descriptor for read event
    loop.add_reader(rsock, reader)

    # Simulate the reception of data from the network
    loop.call_soon(wsock.send, 'abc'.encode())

    try:
        # Run the event loop
        loop.run_forever()
    finally:
        # We are done. Close sockets and the event loop.
        rsock.close()
        wsock.close()
        loop.close()

See also

- A similar example using transports, protocols, and the `loop.create_connection()` method.

- Another similar example using the high-level `asyncio.open_connection()` function and streams.

### Set signal handlers for SIGINT and SIGTERM

(This `signals` example only works on Unix.)

Register handlers for signals `SIGINT` and `SIGTERM` using the `loop.add_signal_handler()` method:

    import asyncio
    import functools
    import os
    import signal

    def ask_exit(signame, loop):
        print("got signal %s: exit" % signame)
        loop.stop()

    async def main():
        loop = asyncio.get_running_loop()

        for signame in {'SIGINT', 'SIGTERM'}:
            loop.add_signal_handler(
                getattr(signal, signame),
                functools.partial(ask_exit, signame, loop))

        await asyncio.sleep(3600)

    print("Event loop running for 1 hour, press Ctrl+C to interrupt.")
    print(f"pid {os.getpid()}: send SIGINT or SIGTERM to exit.")

    asyncio.run(main())