Boucle d'évènements
*******************

**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.

-[ Obtenir une boucle d'évènements ]-

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.

   If there is no running event loop a "RuntimeError" is raised. This
   function can only be called from a coroutine or a callback.

   Nouveau dans la version 3.7.

asyncio.get_event_loop()

   Get the current event loop.

   If there is no current event loop set in the current OS thread, the
   OS thread is main, and "set_event_loop()" has not yet been called,
   asyncio will create a new event loop and set it as the current one.

   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.

   Consider also using the "asyncio.run()" function instead of using
   lower level functions to manually create and close an event loop.

asyncio.set_event_loop(loop)

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

asyncio.new_event_loop()

   Crée et renvoie un nouvel objet de boucle d'événements.

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.

-[ Sommaire ]-

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.


Méthodes de la boucle d'évènements
==================================

Event loops have **low-level** APIs for the following:

* Démarrer et arrêter une boucle d'évènements

* Scheduling callbacks

* Scheduling delayed callbacks

* Creating Futures and Tasks

* Créer des connexions

* Créer des serveurs

* Transferring files

* TLS Upgrade

* Surveiller des descripteurs de fichiers

* Working with socket objects directly

* DNS

* Working with pipes

* Signaux Unix

* Executing code in thread or process pools

* API de gestion d'erreur

* Active le mode débogage

* Running Subprocesses


Démarrer et arrêter une boucle d'évènements
-------------------------------------------

loop.run_until_complete(future)

   Lance la boucle jusqu'à ce que *future* (une instance de "Future")
   soit terminée.

   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()

   Arrête l'exécution de la boucle d'évènements.

loop.is_running()

   Renvoie "True" si la boucle d'évènements est démarrée.

loop.is_closed()

   Renvoie "True" si la boucle d'évènements est arrêtée.

loop.close()

   Arrête la boucle d'évènements.

   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.

coroutine 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.

   Exemple :

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

   Nouveau dans la version 3.6.

coroutine loop.shutdown_default_executor()

   Schedule the closure of the default executor and wait for it to
   join all of the threads in the "ThreadPoolExecutor". After calling
   this method, a "RuntimeError" will be raised if
   "loop.run_in_executor()" is called while using the default
   executor.

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

   Nouveau dans la version 3.9.


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.

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

   L'argument nommé optionnel *context* permet de spécifier une classe
   "contextvars.Context" personnalisée dans laquelle la fonction de
   rappel s’exécutera. Le contexte actuel est utilisé si *context*
   n'est pas fourni.

   An instance of "asyncio.Handle" is returned, which can be used
   later to cancel the callback.

   This method is not thread-safe.

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

   A thread-safe variant of "call_soon()".  Must be used to schedule
   callbacks *from another thread*.

   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.

   Voir la section exécution concurrente et multi-fils d'exécution de
   la documentation.

Modifié dans la version 3.7: Ajout de l'argument nommé *context*. Voir
**PEP 567** pour plus de détails.

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()".

   L'argument nommé optionnel *context* permet de spécifier une classe
   "contextvars.Context" personnalisée dans laquelle la fonction de
   rappel s’exécutera. Le contexte actuel est utilisé si *context*
   n'est pas fourni.

   Modifié dans la version 3.7: Ajout de l'argument nommé *context*.
   Voir **PEP 567** pour plus de détails.

   Modifié dans la 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.

   Modifié dans la version 3.7: Ajout de l'argument nommé *context*.
   Voir **PEP 567** pour plus de détails.

   Modifié dans la 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:

  Modifié dans la 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.

Voir aussi: La fonction "asyncio.sleep()".


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).

   Nouveau dans la version 3.5.2.

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

   Schedule the execution of a Coroutines. 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()".

   Modifié dans la version 3.8: ajout du paramètre "name".

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)", 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.


Créer des connexions
--------------------

coroutine 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, happy_eyeballs_delay=None, interleave=None)

   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.

     Voir aussi: 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.

   * *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).

   Nouveau dans la 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://tools.ietf.org/html/rfc6555

   Nouveau dans la version 3.7: The *ssl_handshake_timeout* parameter.

   Modifié dans la version 3.6: The socket option "TCP_NODELAY" is set
   by default for all TCP connections.

   Modifié dans la version 3.5: Added support for SSL/TLS in
   "ProactorEventLoop".

   Voir aussi:

     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.

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

   Note:

     The parameter *reuse_address* is no longer supported, as using
     "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*,
     "SO_REUSEPORT" is used instead, which specifically prevents
     processes with differing UIDs from assigning sockets to the same
     socket address.

   Créer une connexion par datagramme

   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 "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").

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

   Modifié dans la version 3.4.4: The *family*, *proto*, *flags*,
   *reuse_address*, *reuse_port, *allow_broadcast*, and *sock*
   parameters were added.

   Modifié dans la version 3.8.1: The *reuse_address* parameter is no
   longer supported due to security concerns.

   Modifié dans la version 3.8: Prise en charge sur Windows.

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

   Créer une connexion Unix

   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.

   Disponibilité : Unix.

   Nouveau dans la version 3.7: The *ssl_handshake_timeout* parameter.

   Modifié dans la version 3.7: The *path* parameter can now be a
   *path-like object*.


Créer des serveurs
------------------

coroutine 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, 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* est un masque de bits pour "getaddrinfo()".

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

   * *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).

   * *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.

   Nouveau dans la version 3.7: Added *ssl_handshake_timeout* and
   *start_serving* parameters.

   Modifié dans la version 3.6: The socket option "TCP_NODELAY" is set
   by default for all TCP connections.

   Modifié dans la version 3.5: Added support for SSL/TLS in
   "ProactorEventLoop".

   Modifié dans la version 3.5.1: The *host* parameter can be a
   sequence of strings.

   Voir aussi:

     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.

coroutine loop.create_unix_server(protocol_factory, path=None, *, sock=None, backlog=100, ssl=None, ssl_handshake_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.

   Disponibilité : Unix.

   Nouveau dans la version 3.7: The *ssl_handshake_timeout* and
   *start_serving* parameters.

   Modifié dans la version 3.7: The *path* parameter can now be a
   "Path" object.

coroutine loop.connect_accepted_socket(protocol_factory, sock, *, ssl=None, ssl_handshake_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.

   Paramètres :

   * *protocol_factory* must be a callable returning a protocol
     implementation.

   * *sock* is a preexisting socket object returned from
     "socket.accept".

   * *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).

   Returns a "(transport, protocol)" pair.

   Nouveau dans la version 3.7: The *ssl_handshake_timeout* parameter.

   Nouveau dans la version 3.5.3.


Transferring files
------------------

coroutine 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".

   Nouveau dans la version 3.7.


TLS Upgrade
-----------

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

   Convertit une connexion existante en connexion TLS.

   Return a new transport instance, that the *protocol* must start
   using immediately after the *await*.  The *transport* instance
   passed to the *start_tls* method should never be used again.

   Paramètres :

   * *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).

   Nouveau dans la version 3.7.


Surveiller des descripteurs de fichiers
---------------------------------------

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.

loop.remove_reader(fd)

   Stop monitoring the *fd* file descriptor for read availability.

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.

   Use "functools.partial()" to pass keyword arguments to *callback*.

loop.remove_writer(fd)

   Stop monitoring the *fd* file descriptor for write availability.

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.

coroutine loop.sock_recv(sock, nbytes)

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

   Return the received data as a bytes object.

   Le connecteur *sock* ne doit pas être bloquant.

   Modifié dans la 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.

coroutine 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.

   Le connecteur *sock* ne doit pas être bloquant.

   Nouveau dans la version 3.7.

coroutine 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.

   Le connecteur *sock* ne doit pas être bloquant.

   Modifié dans la version 3.7: Even though the method was always
   documented as a coroutine method, before Python 3.7 it returned an
   "Future". Since Python 3.7, this is an "async def" method.

coroutine loop.sock_connect(sock, address)

   Connect *sock* to a remote socket at *address*.

   Asynchronous version of "socket.connect()".

   Le connecteur *sock* ne doit pas être bloquant.

   Modifié dans la 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*.

   Voir aussi:

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

coroutine 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.

   Le connecteur *sock* ne doit pas être bloquant.

   Modifié dans la 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.

   Voir aussi: "loop.create_server()" and "start_server()".

coroutine 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".

   Le connecteur *sock* ne doit pas être bloquant.

   Nouveau dans la version 3.7.


DNS
---

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

   Asynchronous version of "socket.getaddrinfo()".

coroutine loop.getnameinfo(sockaddr, flags=0)

   Asynchronous version of "socket.getnameinfo()".

Modifié dans la 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
------------------

coroutine loop.connect_read_pipe(protocol_factory, pipe)

   Branche l'extrémité en lecture du tube *pipe* à la boucle
   d'évènements.

   *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.

coroutine loop.connect_write_pipe(protocol_factory, pipe)

   Branche l'extrémité en écriture de *pipe* à la boucle d'évènements.

   *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.

Voir aussi:

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


Signaux Unix
------------

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)

   Supprime le gestionnaire du signal *sig*.

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

   Disponibilité : Unix.

Voir aussi: Le module "signal".


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".

   Exemple :

      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)

      asyncio.run(main())

   This method returns a "asyncio.Future" object.

   Use "functools.partial()" to pass keyword arguments to *func*.

   Modifié dans la 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* should be an instance of "ThreadPoolExecutor".

   Obsolète depuis la version 3.8: Using an executor that is not an
   instance of "ThreadPoolExecutor" is deprecated and will trigger an
   error in Python 3.9.

   *executor* must be an instance of
   "concurrent.futures.ThreadPoolExecutor".


API de gestion d'erreur
-----------------------

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).

loop.get_exception_handler()

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

   Nouveau dans la version 3.5.2.

loop.default_exception_handler(context)

   Gestionnaire d'exception par défaut.

   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)

   Appelle le gestionnaire d'exception de la boucle d'évènements
   actuelle.

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

   * "message" : Message d'erreur ;

   * "exception" (optionnel): Un objet exception ;

   * '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.


Active le mode débogage
-----------------------

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)

   Active le mode débogage pour la boucle d'évènements.

   Modifié dans la version 3.7: The new Python Development Mode can
   now also be used to enable the debug mode.

Voir aussi: 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.

coroutine 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.

   Autres paramètres :

   * *stdin* can be any of these:

     * a file-like object representing a pipe to be connected to the
       subprocess's standard input stream using "connect_write_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 representing a pipe to be connected to the
       subprocess's standard output stream using
       "connect_write_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

   * *stderr* can be any of these:

     * a file-like object representing a pipe to be connected to the
       subprocess's standard error stream using "connect_write_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

     * 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.

   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*.

coroutine 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()".

   cancel()

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

   cancelled()

      Renvoie "True" si la fonction de rappel à été annulé.

      Nouveau dans la 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()".

      Nouveau dans la version 3.7.


Objets Serveur
==============

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

Do not instantiate the 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.

   Modifié dans la version 3.7: Server object is an asynchronous
   context manager since Python 3.7.

   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.

   get_loop()

      Return the event loop associated with the server object.

      Nouveau dans la version 3.7.

   coroutine start_serving()

      Commence à accepter les connexions.

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

      Nouveau dans la version 3.7.

   coroutine 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.

      Exemple :

         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))

      Nouveau dans la version 3.7.

   is_serving()

      Donne "True" si le serveur accepte de nouvelles connexions.

      Nouveau dans la version 3.7.

   coroutine wait_closed()

      Attends que la méthode "close()" se termine.

   sockets

      List of "socket.socket" objects the server is listening on.

      Modifié dans la 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.


Implémentations de boucle d'évènements
======================================

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

      selector = selectors.SelectSelector()
      loop = asyncio.SelectorEventLoop(selector)
      asyncio.set_event_loop(loop)

   Disponibilité : Unix, Windows.

class asyncio.ProactorEventLoop

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

   Disponibilité : Windows.

   Voir aussi: 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.


Exemples
========

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" avec "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.get_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()

Voir aussi:

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


Afficher la date actuelle avec "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.get_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()

Voir aussi:

  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.get_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()

Voir aussi:

  * 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.


Définit les gestionnaires de signaux pour *SIGINT* et *SIGTERM*
---------------------------------------------------------------

(Cet exemple ne fonctionne que sur 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())
