async
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What should happen if deliver_cancel raises an exception? In the current implementation, the shielded cancel scope will prevent it from propagating until the process exits, which might take a while if the crash occurred before signaling the process in any way. Maybe on exception from a user-specified deliver_cancel we should call the default deliver_cancel to kill the process? Or just kill() since
Example of usage:
users = await User.filter(first_name__ilike="c%r")
I know this can be done with startswith and endswith, but there are cases where using the LIKE operator is better:
users = await User.filter(first_name__ilike="j_r%")
This would be used to match Jeremy, Jorge, Jordan...
It seems there are some cases where there is already an existing, active event loop after forking, which causes an exception when the child process tries to create a new event loop. It should check for an existing event loop first, and only create one if there's no active loop available.
Target function: https://github.com/jreese/aiomultiprocess/blob/master/aiomultiprocess/core.py#L93
See #
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Oct 16, 2020 - Python
Feature request
The asynchronous functionality of parallel-ssh is very much appreciated for management tasks. Thank you for this!
For the feature request:
It seems that the open_session() can keep worker allocated for much longer than expected in failure cases. Would it be reasonable to stretch the timeout option of wait_socket() to open_session() ?
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What was wrong?
A common BroadcastConfig to use is BroadcastConfig(require_subscriber=False). It would be nice to have a constant for that so applications that are using the event bus can import it directly from lahja.
How can it be fixed?
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Create a new constant
FIRE_AND_FORGET_BROADCASTINGinlahja/constants.py -
Import it in
lahja/__init__.pyso that it gets r
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