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Description
When we have a dataset, which last two values are e.g.
'2022-04-26T06:56:04.065999872', '2022-05-06T06:56:04.065999872'
the last value is rounded to 2022-05-06T06:56:04Z in xcube viewer. The last time stamp is displayed fine on the map, however due to rounding it is omitted in the time-series request.
POST https://bc-api.brockmann-consult.de/api/timeseries/bc-demo~cglops_lake_tanganjika_300m.zarr/turbidity_mean?aggMethods=median&startDate=2021-10-26T19:37:41Z&endDate=2022-05-06T06:56:04Z
e.g. for
{
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [29.40474395710414, -4.981605714204804]
},
"properties": {
"name": "Point 1"
}
}result [ {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, … ]
0 Object { median: 0.31508904695510864, time: "2021-11-06T06:56:04Z" }
1 Object { median: 0.5600425004959106, time: "2021-11-16T06:56:04Z" }
2 Object { median: 0.5560182332992554, time: "2021-11-26T06:56:04Z" }
3 Object { median: 0.3041113018989563, time: "2021-12-06T06:56:04Z" }
4 Object { median: 0.4342271685600281, time: "2021-12-16T06:56:04Z" }
5 Object { time: "2021-12-26T19:37:41Z", median: null }
6 Object { time: "2022-01-06T06:56:04Z", median: null }
7 Object { median: 0.5325384736061096, time: "2022-01-16T06:56:04Z" }
8 Object { median: 0.4660368859767914, time: "2022-01-26T19:37:41Z" }
9 Object { median: 0.8200605511665344, time: "2022-02-06T06:56:04Z" }
10 Object { median: 0.5204707980155945, time: "2022-02-16T06:56:04Z" }
11 Object { median: 0.7293128967285156, time: "2022-02-25T05:32:51Z" }
12 Object { median: 0.7425397634506226, time: "2022-03-06T06:56:04Z" }
13 Object { median: 0.5542619228363037, time: "2022-03-16T06:56:04Z" }
14 Object { median: 0.3124908208847046, time: "2022-03-26T19:37:41Z" }
15 Object { time: "2022-04-06T06:56:04Z", median: null }
16 Object { median: 0.368571937084198, time: "2022-04-16T06:56:04Z" }
17 Object { median: 0.19854414463043213, time: "2022-04-26T06:56:04Z" }
the response therefore omits the last time stamp with the value 2022-05-06T06:56:04.065999872 as it is just later than 2022-05-06T06:56:04.
This happens for all datasets, where the milliseconds are rounded down, and therefore the timeseries display in the viewer is incomplete.
To reproduce:
Use https://bc-viewer.brockmann-consult.de/?dataset=bc-demo~cglops_lake_tanganjika_300m.zarr
which is located in our bc-demo-cubes s3 bucket.