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[FEATURE] Auto-build of XNAT-CS Docker images #48

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Tracked by #33
tclose opened this issue Jun 21, 2022 · 1 comment
Open
1 task
Tracked by #33

[FEATURE] Auto-build of XNAT-CS Docker images #48

tclose opened this issue Jun 21, 2022 · 1 comment
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deploy-framework Deployment framework epic mapped Feature has been fully described and stories have been mapped out pipelines
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tclose commented Jun 21, 2022 •
edited by RyanPSullivan7
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Description

A tool to automatically build Docker images containing pipelines that can be run in XNAT's container service from streamlined recipes

Benefit Hypothesis

If there is a method to automatically build XNAT CS Docker images from streamlined recipes, then it will be possible to maintain a large library of pipeline definitions within a git repository. This will facilitate collaborative development pipeline libraries.

Acceptance Criteria

  • Built containers can be installed and run successfully within XNAT's container service
  • Pipelines can be configured
  • Parameters can be passed to pipelines
  • Locations of inputs and outputs can be specified

Tasks
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  1. [STORY] Ensure the description of the XNAT commands include tool name + version #208
    pipelines story
    tclose
@tclose tclose mentioned this issue Jun 21, 2022
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@tclose tclose added the deploy-framework Deployment framework epic label Jun 21, 2022
@tclose tclose moved this to Backlog in AIS Master Project Jun 21, 2022
@tclose tclose self-assigned this Jun 23, 2022
@tclose tclose added this to the 1.0 milestone Jun 23, 2022
@tclose tclose added mapped Feature has been fully described and stories have been mapped out and removed incomplete labels Jun 23, 2022
@tclose tclose moved this to In Progress in AIS Master Project Aug 8, 2022
@tclose tclose mentioned this issue Sep 30, 2022
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github-actions bot commented Sep 30, 2022 •
edited by mrusyd
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Stories

This was referenced Sep 30, 2022
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@tclose tclose moved this from In Progress to Done in AIS Master Project Feb 12, 2023
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Labels
deploy-framework Deployment framework epic mapped Feature has been fully described and stories have been mapped out pipelines
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AIS Master Project
Status: Done
Milestone
Beta
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@tclose @RyanPSullivan7