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Better task manager #65
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# Conflicts: # alab_management/task_actor.py # alab_management/task_manager/task_manager.py # alab_management/utils/data_objects.py
odartsi
requested changes
May 6, 2024
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@idocx , here is my review/questions as well as the tests/test_launch.py
that fails.
Thanks
my review is ready |
In update_canceling_progress, the original_progress should be enum instead of the raw string.
@odartsi Thank you so much for your careful reviewing! I have updated the repo according to your comments and fixed some bugs in |
In update_canceling_progress, the original_progress should be enum instead of the raw string.
odartsi
approved these changes
May 7, 2024
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Summary
Include a summary of major changes in bullet points:
task manager
(submit new tasks and cancel running tasks) andresource manager
(handling resource requests)WAITING
orINITIATED
status. Now, the canceling can only happen if the task is inRUNNING
orREQUESTING_RESOURCES
status.task_actor.py
. Where the task will be first set toFINISHING
state. Until all the procedure have been done, it will be set to corresponding ending status likeCOMPLETED
,CANCELED
, etc.load_definition
function. Previously, it is easy to import the alabos configuration folder multiple times. Now we add a__imported_modules__
global variable to keep track of all the imported modules. If the package has been imported, it will be returned directly.test_launch
unittest. Previously, it runs to start a virtual alabos server and submit one experiment. But it will not check the result (e.g. tracking the submitted experiment status). In this way, we can guarantee the whole module works as expected.pyproject.toml
dependencies. Previously, there were a lot of duplicated dependencies in the project toml file. They are now removed and the existing dependencies have been updated to the right version.Additional dependencies introduced (if any)
No additional dependencies are introduced.
Checklist
Work-in-progress pull requests are encouraged, but please put [WIP] in the pull request
title.
Before a pull request can be merged, the following items must be checked:
The easiest way to handle this is to run the following in the correct sequence on
your local machine. Start with running black on your new code. This will
automatically reformat your code to PEP8 conventions and removes most issues. Then run
pycodestyle, followed by flake8.
Run pydocstyle on your code.
type check your code.
Note that the CI system will run all the above checks. But it will be much more
efficient if you already fix most errors prior to submitting the PR. It is highly
recommended that you use the pre-commit hook provided in the repository. Simply
cp pre-commit .git/hooks
and a check will be run prior to allowing commits.