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https://issues.apache.org/jira/browse/AIRAVATA-3007?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16811969#comment-16811969
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Marcus Christie commented on AIRAVATA-3007:
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Hi [~aravindparappil]. Yes that's the general idea with the JSON. It would be
specified for an output file of an application. It would need to specify
something about the type of file (CSV, etc.) and how to extract data in the
file to data sets appropriate for plotting, like the names of columns like you
have in your example.
We could definitely make a UI for configuring these visualizations and I think
that would be a great goal for this project.
> [GSoC] General plotting capabilities of experiment outputs
> ----------------------------------------------------------
>
> Key: AIRAVATA-3007
> URL: https://issues.apache.org/jira/browse/AIRAVATA-3007
> Project: Airavata
> Issue Type: New Feature
> Components: Django Portal
> Reporter: Marcus Christie
> Priority: Major
> Labels: gsoc2019
>
> Add general plotting capabilities of computational experiment outputs to the
> Airavata Django Portal [1]. Portal admins that register an application should
> be able to specify what kind of visualizations should be provided to users
> for each file using a declarative configuration. Code should not be required
> for simple charts, but for more complex use cases it should be possible to
> provide Python code needed to support it.
> As an example, let's say there is an application that generates a CSV file
> with time series data. The admin user who is registering the application
> knows what sort of plotting is desired, which columns of data are needed from
> the CSV file, etc. The admin user should be able to provide some JSON
> configuration that describe how to generate the plot. The Django Portal can
> then use this JSON configuration to process the CSV file and provide the data
> and configuration to a frontend UI component (implemented in Vue.js) that
> will then render the desired chart. The charting technology should allow
> some interactive features so that users can explore the data easily.
> Some charting libraries that look particularly interesting:
> * https://plot.ly/javascript/
> * http://echarts.apache.org/
> [1] https://github.com/apache/airavata-django-portal
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