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[jira] [Commented] (SDAP-70) Link events with dataset collections
[ https://issues.apache.org/jira/browse/SDAP-70?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16552972#comment-16552972 ]
ASF GitHub Bot commented on SDAP-70:
------------------------------------
lewismc opened a new pull request #33: SDAP-70 Link events with dataset collections
URL: https://github.com/apache/incubator-sdap-mudrod/pull/33
This issue is linked to https://issues.apache.org/jira/browse/SDAP-70
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> 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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