Yeah it's possible for the channel / socket to close (client hangup, channel 
timeout, etc) while the WSGI app is still processing the request. The WSGI 
execution thread will have no idea until it tries to actually write the 
response at which point an exception may be raised but this is usually after 
the WSGI app is done processing the request unless you go out of your way to 
stream a response.

- Michael

> On May 20, 2020, at 15:58, Michal Seidl <[email protected]> wrote:
> 
> Thanks both Michael and Bert for explanation. process x thread
> Yes the documentation confuse me a little bit specially this sentence in 
> channel_timeout docs.
> 
> "Inactive" is defined as "has received no data from a client and has sent no 
> data to a client".
> 
> Best regards Michal
> 
> On 5/20/20 10:06 PM, Bert JW Regeer wrote:
>> Hey Michal,
>> Unfortunately there is nothing that will cause Waitress to kill a thread, 
>> because killing a thread in Python is not possible. The channel_timeout 
>> refers to how long a keep-alive connection stays open, a request that is 
>> processing in the WSGI thread will still be considered open, and active. The 
>> documentation around this probably needs a bit more work.
>> What you want is not possible with waitress.
>> Bert
>>> On May 20, 2020, at 06:53, Michal Seidl <[email protected] 
>>> <mailto:[email protected]>> wrote:
>>> 
>>> Hello,
>>> I can not figure out how to setup timeout (request processing takes to much 
>>> time) and size limit for output data.
>>> 
>>> I am starting server like this:
>>> 
>>> 
>>> |serve(application, host='0.0.0.0', port=port, cleanup_interval=2, 
>>> channel_timeout=4 )
>>> |
>>> 
>>> I am using Werkzeug |Request| and |Response| objects and |jsonrpcserver 
>>> dispatch| method to delegate request to my processing method. In this 
>>> method I have
>>> 
>>> |time.sleep(timeToSleep)
>>> |
>>> 
>>> But even I setup |timeToSleep| much bigger (30s) than |channel_timeout 
>>> (4s)| I can seen that the request is always processed sucefully?
>>> 
>>> 
>>> For output size limit I even can not find any setting argument.
>>> 
>>> 
>>> In best case, if one of these limit would be fulfill the server 
>>> stop/cancel/kill according process/thread and returns to client some 
>>> meaningful response.
>>> 
>>> 
>>> Thanks for any help.
>>> 
>>> 
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