Hi Min,
I do it like following, could still could not get the output of the backend
daemon thread (I only see the "hello world" output). Could you guide me how
to do that ? Thanks
import jupyter_client
import threading
km, kc = jupyter_client.manager.start_new_kernel(kernel_name='python')
code = """\
import time
import threading
def worker():
for i in range(10):
time.sleep(1)
print(i)
t = threading.Thread(name="ConsumerThread", target=worker)
t.start()
print("hello world*********************")
"""
def _output_hook(msg):
print("****************")
print(msg)
reply = kc.execute_interactive(code, output_hook=_output_hook, timeout=100)
print(reply)
import time
time.sleep(10)
在 2017年10月11日星期三 UTC+8下午5:56:48，Min RK写道：
>
>
>
> On Wed, Oct 11, 2017 at 4:08 AM, Jeff Zhang <[email protected]
> <javascript:>> wrote:
>
>>
>> Thanks Min. Here's the sample code I use ipython kernel api.
>>
>> self._km, self._kc =
>> jupyter_client.manager.start_new_kernel(kernel_name='python')
>>
>> reply = self._kc.execute_interactive(request.code,
>> output_hook=_output_hook,
>> timeout=TIMEOUT)
>>
>>
>> Do you think what kind of api I can use to get the background thread output
>> after `execute_interactive` is finished ? Thanks
>>
>>
> You have `output_hook`, which can be used to capture all of the outputs.
> You can do whatever you want with them. You can chose to redisplay the
> outputs when the final result is finished, as they arrive (which can get
> messy when it comes to associating with particular parents), or capture
> them and redisplay them explicitly from the main thread via a
> `.redisplay_outputs(request)` API.
>
> -Min
>
>
>
>
>>
>>
>> 在 2017年10月10日星期二 UTC+8下午5:11:31，Min RK写道：
>>>
>>> IPython uses global state to identify which request produced which
>>> output. This is the `parent_header` in the kernel. The result is that, as
>>> far as the messages are concerned, output produced in a background thread
>>> will always be associated with the most recently executed cell.
>>>
>>> If you know what you want, you can, however, explicitly associate the
>>> outputs of a thread with a particular parent. Doing so, however, may result
>>> in a race condition where it appears that the thread owns output produced
>>> in the main thread, depending on how output is captured or redirected.
>>>
>>> -Min
>>>
>>> On Tue, Oct 10, 2017 at 8:33 AM, Jeff Zhang <[email protected]> wrote:
>>>
>>>> I would submit one piece of python to ipython kernel. And this piece of
>>>> kernel would run a thread to generate output continuously. Then What kind
>>>> of ipython api I can use to get the output of this daemon thread ? Thanks
>>>>
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