Runners
*******

**Source code:** Lib/asyncio/runners.py

This section outlines high-level asyncio primitives to run asyncio
code.

They are built on top of an event loop with the aim to simplify async
code usage for common wide-spread scenarios.

* Running an asyncio Program

* Runner context manager

* Handling Keyboard Interruption


Running an asyncio Program
==========================

asyncio.run(coro, *, debug=None)

   Execute the *coroutine* *coro* and return the result.

   This function runs the passed coroutine, taking care of managing
   the asyncio event loop, *finalizing asynchronous generators*, and
   closing the threadpool.

   This function cannot be called when another asyncio event loop is
   running in the same thread.

   If *debug* is "True", the event loop will be run in debug mode.
   "False" disables debug mode explicitly. "None" is used to respect
   the global 디버그 모드 settings.

   This function always creates a new event loop and closes it at the
   end.  It should be used as a main entry point for asyncio programs,
   and should ideally only be called once.

   Example:

      async def main():
          await asyncio.sleep(1)
          print('hello')

      asyncio.run(main())

   버전 3.7에 추가.

   버전 3.9에서 변경: Updated to use
   "loop.shutdown_default_executor()".

   버전 3.10에서 변경: *debug* is "None" by default to respect the
   global debug mode settings.


Runner context manager
======================

class asyncio.Runner(*, debug=None, loop_factory=None)

   A context manager that simplifies *multiple* async function calls
   in the same context.

   Sometimes several top-level async functions should be called in the
   same event loop and "contextvars.Context".

   If *debug* is "True", the event loop will be run in debug mode.
   "False" disables debug mode explicitly. "None" is used to respect
   the global 디버그 모드 settings.

   *loop_factory* could be used for overriding the loop creation. It
   is the responsibility of the *loop_factory* to set the created loop
   as the current one. By default "asyncio.new_event_loop()" is used
   and set as current event loop with "asyncio.set_event_loop()" if
   *loop_factory* is "None".

   Basically, "asyncio.run()" example can be rewritten with the runner
   usage:

      async def main():
          await asyncio.sleep(1)
          print('hello')

      with asyncio.Runner() as runner:
          runner.run(main())

   버전 3.11에 추가.

   run(coro, *, context=None)

      Run a *coroutine* *coro* in the embedded loop.

      Return the coroutine's result or raise its exception.

      An optional keyword-only *context* argument allows specifying a
      custom "contextvars.Context" for the *coro* to run in. The
      runner's default context is used if "None".

      This function cannot be called when another asyncio event loop
      is running in the same thread.

   close()

      Close the runner.

      Finalize asynchronous generators, shutdown default executor,
      close the event loop and release embedded "contextvars.Context".

   get_loop()

      Return the event loop associated with the runner instance.

   참고:

     "Runner" uses the lazy initialization strategy, its constructor
     doesn't initialize underlying low-level structures.Embedded
     *loop* and *context* are created at the "with" body entering or
     the first call of "run()" or "get_loop()".


Handling Keyboard Interruption
==============================

버전 3.11에 추가.

When "signal.SIGINT" is raised by "Ctrl-C", "KeyboardInterrupt"
exception is raised in the main thread by default. However this
doesn't work with "asyncio" because it can interrupt asyncio internals
and can hang the program from exiting.

To mitigate this issue, "asyncio" handles "signal.SIGINT" as follows:

1. "asyncio.Runner.run()" installs a custom "signal.SIGINT" handler
   before any user code is executed and removes it when exiting from
   the function.

2. The "Runner" creates the main task for the passed coroutine for its
   execution.

3. When "signal.SIGINT" is raised by "Ctrl-C", the custom signal
   handler cancels the main task by calling "asyncio.Task.cancel()"
   which raises "asyncio.CancelledError" inside the main task.  This
   causes the Python stack to unwind, "try/except" and "try/finally"
   blocks can be used for resource cleanup.  After the main task is
   cancelled, "asyncio.Runner.run()" raises "KeyboardInterrupt".

4. A user could write a tight loop which cannot be interrupted by
   "asyncio.Task.cancel()", in which case the second following
   "Ctrl-C" immediately raises the "KeyboardInterrupt" without
   cancelling the main task.
