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- Architecture or mechanism (how to)
- Cost in terms of time, Difficulty level
Table of Contents
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Running CI workflow as a extractor
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The medici extraction service is able to execute CI workflow as a extractor. The CI workflow will be queued at extractor event bus.
Option 1: Medici extractor can be a CI RESTful service client
- Medici extractor uses CI RESTful service endpoints to do
- upload the dataset
- execute the workflow
- retrieve the results from the execution
- put those results to Medici metadata
Running Polyglot by using CI
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The polyglot will be run by using CI workflow to have reproducibility.
Option 1: Spit out CI workflow from Polyglot conversion
- Use as the basis for providing error messages when things go wrong in conversions across software. Currently very difficult to debug when a software server has an error.
Running CI workflow on Medici
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This is on-demand execution of CI workflow different from extractor idea. The user will see the possible CI workflow to execute on the dataset on the dataset page.
Integration of Ci and Medici
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Tight integration of CI and Medici. Ci will use the Medici as a metadata and dataset storage. It may requires to remove "Spring" framework and adopting other "injection" mechanism.
Running Other workflows (Kepler, Galaxy) as CI workflow
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CI workflow will have a step that execute other workflow such as Kepler, or Galaxy.