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Add support for async kernel management #4479
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The POC with Enterprise Gateway has completed so I've removed the [WIP] status. There are some test failures in python 3.7 that I'm struggling to figure out since I can't reproduce them in my 3.7 env. In addition, they appear to be socket related - so I'm struggling to see the link. Any help/guidance would be appreciated. |
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This pull request has been mentioned on Jupyter Community Forum. There might be relevant details there: https://discourse.jupyter.org/t/scalable-enterprise-gateway/2014/2 |
Use composition in preparation for AsyncMappingKernelManager.
Supports running against incompatible jupyter_client so long as the desired kernel_manager_class is not `AsyncMappingKernelManager`.
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Yes, please go ahead. No need to co-author me in. |
I think we need to revisit David's proposed class hierarchy approach: jupyter-server/jupyter_server#191 (comment) |
I've pushed changes that switch to the approach taken in jupyter-server/jupyter_server#191 after we addressed the concerns I raised in the previous comment. This push also includes the display of the notebook server's version when starting (mentioned for the sake of transparency). |
This commit uses the approach used in jupyter_server jupyter#191 first proposed by David Brochart. This reduces code duplication and alleviates redundancy relative to configurable options. Also, the startup message now includes the version information. Co-authored-by: David Brochart <david.brochart@gmail.com>
@Zsailer, @davidbrochart, @lresende could you please review this PR. It's essentially the same as jupyter-server/jupyter_server#191 except that the changes to async/await are focused on kernel management and not other services in order to minimize changes. Once approved and merged, I think we should cut a |
notebook/notebookapp.py
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# If we're using async kernel management, we need to invoke the async method via the event loop. | ||
if isinstance(self.kernel_manager, AsyncMappingKernelManager): | ||
asyncio.get_event_loop().run_until_complete(self.kernel_manager.shutdown_all()) | ||
else: | ||
self.kernel_manager.shutdown_all() |
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Maybe you want to be more cautious, and use the convenient run_sync we will use in jupyter_server:
run_sync(self.kernel_manager.shutdown_all())
def __init__(self, **kwargs): | ||
super(MappingKernelManager, self).__init__(**kwargs) | ||
super().__init__(**kwargs) | ||
self.last_kernel_activity = utcnow() |
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Should be removed?
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Haha I just added mentioned this too! 👍
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Clever work, @kevin-bates and @davidbrochart! Great job!
Just some minor comments. I'm a little worried about naming the important attribute here super
(read my inline comments for more info). It's a non-blocking change, so if you want to keep it, I'm fine with it.
def __init__(self, **kwargs): | ||
super(MappingKernelManager, self).__init__(**kwargs) | ||
super().__init__(**kwargs) | ||
self.last_kernel_activity = utcnow() |
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Should this be removed? It looks like a near duplicate of lines 139-142.
def __init__(self, **kwargs): | ||
self.super = MultiKernelManager | ||
self.super.__init__(self, **kwargs) | ||
self.last_kernel_activity = utcnow() | ||
|
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Duplicate of above?
@@ -130,6 +136,11 @@ def __init__(self, **kwargs): | |||
# Methods for managing kernels and sessions | |||
#------------------------------------------------------------------------- | |||
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def __init__(self, **kwargs): | |||
self.super = MultiKernelManager |
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Clever! I was slightly uncomfortable with this when I first saw it—I thought you just wanted an alias for super(...)
, but I now recognize this is the magic for the class hierarchy.
That said, I have two recommendations...
- I think we need to add some thorough inline comments here (and below, in
AsyncMultiKernelManager
. Especially using the attr namesuper
, I'm afraid someone reading this a few years from now might think this is a mistake... that you actually mean super(). - Maybe even consider renaming this attribute? Something like
base_multikernel_manager
or something that makes it clear you're calling a class other than super().
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I agree it could be confusing to name it super
, my bad!
Add comments and rename self.super to self.pinned_superclass to clarify intent. Add run_sync() util method to clean up shutdown_all() invocation.
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@Zsailer - Any idea why Travis is not happening? It is happening on my repo at least: https://travis-ci.org/github/kevin-bates/notebook |
Hm, that's weird. It's not showing up here, but I see it running on travis-ci.org. |
@kevin-bates Travis is all green. This PR is good to go from my perspective. |
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LGTM
Is this ready for merge, @kevin-bates ? |
Thanks for asking Zach. I was just about to add the logic to prevent async kernel management on 3.5 - like we're doing elsewhere in the ecosystem. I'll ping you once completed. |
Hi @Zsailer - this should be ready for review/merge. Aside from adding the checks for 3.5, I found the test-skipping logic wasn't working correctly because the server startup occurs as part of the setup_class() method, while I had been "skipping" the test in the setUp() method - which was too late. The python 3.5 group now shows this: I also needed to add an initializer to the fake AsyncMultiKernelManager class that's fabricated. This allows the initial load (of the fabricated class) to succeed in order for the server to determine that an async kernel manager is being configured when it's not available/supported. Lastly, the test failure appears to be transient related to |
Trigger CI |
This looks good, @kevin-bates. I'm ready to merge. |
@Zsailer - per your suggestion in today's server meeting, I added comments indicating when a given dependency check (jupyter_client/Python versions) can be removed. Thanks for the tip. |
@kevin-bates Awesome work here! This is good to go. Merging away! |
This PR adds support for asynchronous kernel management in an optional manner. This approach will allow the project as a whole to move forward while applications that wish to leverage the new functionality can do so at their convenience until the appropriate time. At some point, we should converge the implementations to async only.
Async kernel management is dependent on changes in jupyter_client PR 428. In that PR, both
MultiKernelManager
andKernelManager
have been extended with direct subclassesAsyncMultiKernelManager
andAsyncKernelManager
. Same goes for the pair of IOLoop classes. Please view that PR for details.With these changes, the MappingKernelManager has been refactored as follows:
AsyncMappingKernelManager
. This class is essentially the equivalent ofMappingKernelManager
, but for complete async behavior. It is disjoint because it must derive fromAsyncMultiKernelManager
, so cannot derive from notebook'sMappingKernelManager
(which derives fromMultiKernelManager
).MappingKernelManager
, the existing methods relative to each of these classes remain in place in case they were overridden in subclasses. It would be good to determine if there are overrides (somehow). If none exist, those place-holder methods should be removed.MappingKernelManagerBase
. This class is needed for a couple reasons.Once we converge back to a single mapping kernel manager, we can remove this class - moving its contents back onto the one mapping kernel manager class.
To switch to using
AsyncMappingKernelManager
, the following command-line option is necessary:leveraging the existing ability to customize kernel manager classes.
Also note, that code exists to NOT require upgrade of
juptyer_client
until the project is ready to update dependencies. As a result, no upgrade of jupyter_client is required unless the kernel_manager_class override is in place. In addition, should someone enable that option without having upgraded jupyter_client, the following RuntimeError will be produced (along with its traceback) when Notebook is started:RuntimeError: Using
AsyncMappingKernelManager
without an appropriate jupyter_client installed! Upgrade jupyter_client and try again.Similarly for the notebook kernel api tests. If the appropriate jupyter_client is not available, the async-related tests will be skipped - logging an appropriate message. Those tests derive directly from the non-async tests by merely setting the
NotebookApp.kernel_manager_class
.Note: If
AsyncMappingKernelManager
is in use, then any command-line or configuration options referencingMappingKernelManager
need to be replaced withAsyncMappingKernelManager
. If you need to switch back and forth, it may be easier to just referenceMappingKernelManagerBase
instead.Here's a class diagram, extending the one shown in the jupyter_client PR.
Although this has been tested with and without the appropriate jupyter_client present, I'd like to keep this PR as WIP until a POC with Enterprise Gateway has been completed and the jupyter_client PR has been resolved.