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From "Lewis John McGibbney (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SDAP-70) Link events with dataset collections
Date Mon, 23 Jul 2018 15:08:00 GMT

     [ https://issues.apache.org/jira/browse/SDAP-70?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Lewis John McGibbney updated SDAP-70:
-------------------------------------
    Summary: Link events with dataset collections  (was: Build eventsView and recommendation
panels for EventsDB)

> Link events with dataset collections
> ------------------------------------
>
>                 Key: SDAP-70
>                 URL: https://issues.apache.org/jira/browse/SDAP-70
>             Project: Apache Science Data Analytics Platform
>          Issue Type: Improvement
>          Components: mudrod
>            Reporter: Lewis John McGibbney
>            Assignee: Lewis John McGibbney
>            Priority: Major
>
> Upon entering a query, within the ranked dataset results, we wish to somehow also provide
events for a given query (on right hand side navbar similar to what is currently done with
similar queries).
> Upon selecting one of these events... a user should be able to step through into an eventsView
similar to what we see in the [dataset results|https://github.com/apache/incubator-sdap-mudrod/blob/master/web/META-INF/resources/partials/datasetResults.html]
e.g. a table of information for the given event, an example event is given below
> {code:java}
> {
>     "_index": "mudrod",
>     "_type": "eonet_event",
>     "_id": ""EONET_3482"",
>     "_version": 1,
>     "_score": 1,
>     "_source": {
>         "id": ""EONET_3482"",
>         "title": ""Cyclone Flamboyan"",
>         "description": """",
>         "link": ""https://eonet.sci.gsfc.nasa.gov/api/v2.1/events/EONET_3482"",
>         "closed": ""2018-05-07T00:00:00Z"",
>         "categories": [
>             "{"id":10,"title":"Severe Storms"}"
>         ],
>         "sources": [
>             "{"id":"UNISYS","url":"http://weather.unisys.com/hurricane/s_indian/2018/FLAMBOYAN/track.dat"}"
>         ],
>         "geometries": [
>             "{"date":"2018-04-28T06:00:00Z","type":"Point","coordinates":[92.50,-8.90]}"
>             ,
>             "{"date":"2018-04-28T12:00:00Z","type":"Point","coordinates":[90.80,-9.60]}"
>             ,
>             "{"date":"2018-04-28T18:00:00Z","type":"Point","coordinates":[89.70,-10.20]}"
>             ,
>             "{"date":"2018-04-29T00:00:00Z","type":"Point","coordinates":[89.30,-10.90]}"
>             ,
>             "{"date":"2018-04-29T06:00:00Z","type":"Point","coordinates":[87.80,-12.10]}"
>             ,
>             "{"date":"2018-04-29T12:00:00Z","type":"Point","coordinates":[86.30,-12.80]}"
>             ,
>             "{"date":"2018-04-29T18:00:00Z","type":"Point","coordinates":[85.70,-13.50]}"
>             ,
>             "{"date":"2018-04-30T00:00:00Z","type":"Point","coordinates":[85.00,-14.40]}"
>             ,
>             "{"date":"2018-04-30T06:00:00Z","type":"Point","coordinates":[84.50,-14.90]}"
>             ,
>             "{"date":"2018-04-30T12:00:00Z","type":"Point","coordinates":[84.30,-15.60]}"
>             ,
>             "{"date":"2018-04-30T18:00:00Z","type":"Point","coordinates":[84.20,-16.30]}"
>             ,
>             "{"date":"2018-05-01T00:00:00Z","type":"Point","coordinates":[83.70,-17.20]}"
>             ,
>             "{"date":"2018-05-01T06:00:00Z","type":"Point","coordinates":[83.80,-17.30]}"
>             ,
>             "{"date":"2018-05-01T12:00:00Z","type":"Point","coordinates":[84.00,-17.70]}"
>             ,
>             "{"date":"2018-05-01T18:00:00Z","type":"Point","coordinates":[84.20,-18.20]}"
>             ,
>             "{"date":"2018-05-02T00:00:00Z","type":"Point","coordinates":[84.40,-18.70]}"
>         ]
>     }
> }
> {code}
> To make it look nicer, we can also embed a leaflet.js panel which merely maps the *geometries*
field.



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