Lewis John McGibbney created SDAP-70:
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Summary: Build eventsView and recommendation panels for EventsDB
Key: SDAP-70
URL: https://issues.apache.org/jira/browse/SDAP-70
Project: Apache Science Data Analytics Platform
Issue Type: Improvement
Reporter: Lewis John McGibbney
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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