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https://issues.apache.org/jira/browse/AIRAVATA-3649?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17604735#comment-17604735
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ASF subversion and git services commented on AIRAVATA-3649:
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Commit c41f65494a091929700384fe523e1f81eba40e64 in airavata-django-portal's
branch refs/heads/delta-topology-workshop from Marcus Christie
[ https://gitbox.apache.org/repos/asf?p=airavata-django-portal.git;h=c41f6549 ]
AIRAVATA-3649 REST API to list and invoke queue settings calculators
> Automatically calculate queue settings with custom code
> -------------------------------------------------------
>
> Key: AIRAVATA-3649
> URL: https://issues.apache.org/jira/browse/AIRAVATA-3649
> Project: Airavata
> Issue Type: New Feature
> Components: Django Portal
> Reporter: Marcus Christie
> Assignee: Marcus Christie
> Priority: Major
>
> For some applications the ideal queue settings for an experiment can be
> straightforwardly calculated from the input values for the experiment. An
> administrator may want to define some custom code to calculate the ideal
> queue settings and then register it for use with one or more applications.
> This will make streamline the use of the gateway for users and also reduce
> errors in over- or under-allocating resources.
> h3. Design
> - custom code to be implemented as a module function that takes
> experiment_model and returns a dictionary of possibly different queue setting
> values
> - decorator {{@queue_settings_calculator}}
> - decorator attributes: id (allows renaming function), name (display to user)
> - decorator adds each decorated function to a registry
> - new REST API returns information about all registered
> {{@queue_settings_calculator}} functions
> - new application_settings field for queue_settings_calculator id. UI
> provides drop-down to allow admin to select a queue_settings_calculator
> - Experiment Editor will call calculate_queue_settings REST API if the
> application interface has a queue_settings_calculator configured. Will pass
> the entire Experiment Model. Updates the queue settings with the returned
> values.
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