* Tulip issue #183: log socket events in debug mode
- Log most important socket events: socket connected, new client, connection
reset or closed by peer (EOF), etc.
- Log time elapsed in DNS resolution (getaddrinfo)
- Log pause/resume reading
- Log time of SSL handshake
- Log SSL handshake errors
- Add a __repr__() method to many classes
* Fix ProactorEventLoop() in debug mode. ProactorEventLoop._make_self_pipe()
doesn't call call_soon() directly because it checks for the current loop
which fails, because the method is called to build the event loop.
* Cleanup _ProactorReadPipeTransport constructor. Not need to set again
_read_fut attribute to None, it is already done in the base class.
- loop, waiters and active_count attributes are now private
- attach(), detach() and wakeup() methods are now private
The sockets attribute remains public.
* Tulip issue #182: Improve logs of BaseEventLoop._run_once()
- Don't log non-blocking poll
- Only log polling with a timeout if it gets events or if it timed out after
more than 1 second.
* Fix some pyflakes warnings: remove unused imports
- repr(Task) and repr(CoroWrapper) now also includes where these objects were
created. If the coroutine is not a generator (don't use "yield from"), use
the location of the function, not the location of the coro() wrapper.
- Fix create_task(): truncate the traceback to hide the call to create_task().
- Tulip issue 185: Add a create_task() method to event loops. The create_task()
method can be overriden in custom event loop to implement their own task
class. For example, greenio and Pulsar projects use their own task class. The
create_task() method is now preferred over creating directly task using the
Task class.
- tests: fix a warning
- fix typo in the name of a test function
- Update AbstractEventLoop: add new event loop methods; update also the unit test
- Sort imports
- Simplify/optimize iscoroutine(). Inline inspect.isgenerator(obj): replace it
with isinstance(obj, types.GeneratorType)
- CoroWrapper: check at runtime if Python has the yield-from bug #21209. If
Python has the bug, check if CoroWrapper.send() was called by yield-from to
decide if parameters must be unpacked or not.
- Fix "Task was destroyed but it is pending!" warning in
test_task_source_traceback()
Handle objects are created. Pass the traceback to call_exception_handler() in
the 'source_traceback' key.
The traceback is truncated to hide internal calls in asyncio, show only the
traceback from user code.
Add tests for the new source_traceback, and a test for the 'Future/Task
exception was never retrieved' log.
exception if the current loop is not None.
Guido van Rossum wrote:
"The behavior that you can set the loop to None (and keep track of it
explicitly) is part of the spec, and this should still be supported even in
debug mode. The behavior that we raise an error if you are caught having
multiple active loops per thread is just a debugging heuristic, and it
shouldn't break code that follows the spec."
Add BaseEventLoop._closed attribute and use it to check if the event loop was
closed or not, instead of checking different attributes in each subclass of
BaseEventLoop.
run_forever() and run_until_complete() methods now raise a RuntimeError('Event loop is
closed') exception if the event loop was closed.
BaseProactorEventLoop.close() now also cancels "accept futures".
Fix ResourceWarning: create_connection(), create_datagram_endpoint() and
create_unix_server() methods of event loop now close the newly created socket
on error.
loop in debug mode. Raise a RuntimeError if the event loop of the current
thread is different. The check should help to debug thread-safetly issue.
Patch written by David Foster.
Add also a PYTHONASYNCIODEBUG environment variable to debug coroutines since
Python startup, to be able to debug coroutines defined directly in the asyncio
module.
between the resolution of the BaseEventLoop.time() method and the resolution of
the selector. The granuarility is used in the scheduler to round time and
deadline.
logger.log() is now responsible to format the timeout. It might be faster if
the log is disabled for DEBUG level, but it's also more readable and fix
an issue with Python 2.6 in the Trollius project.
Logger.log() is "slow", logger.isEnabledFor() is faster and the logger is
disabled in most cases. A microbenchmark executing 100,000 dummy tasks is 22%
faster with this change.
Victor Stinner
Guido van Rossum
Yury Selivanov
Guido van Rossum
Antoine Pitrou