Hi everyone,
I tried to upload my own dataset(time-series data) into CDF, but I always get error: Request with id 87b235ea-78dd-963a-b343-ff58a0ee084d to https://westeurope-1.cognitedata.com/api/v1/projects/learn/timeseries/data failed with status 400: Timestamp is too high, must be at most 2556143999999 which is 31-12-2050 23:59:59 GMT.
I followed with this link:https://learn.cognite.com/path/cognite-data-fusion-fundamentals/working-with-cdf-integrate. I created an assest, 3 time-series. What I want to do is to upload my data to the 3 time-series, and show the variation of my data in CDF. I change the time_stamp of my data into the format of 2022-02-10T17:00:00.000Z, I am not sure if this is necessary but when I preview my datapoints in RAW explorer and CDF automatically change the this format into for example, 164998440000, so I am wondering if this is why I have this error? I also want to ask what is the meaning of span in IFSDB.sensors? It means this time-series is 100 days? or 100 hours? Not sure if this will be related to my error.
You can always find my project in cognite-learn.fusion.cognite.com. My Data sets is called ‘Lab’, you can also preview my data set in RAW explorer, also search for ‘Lab’, and there are 5 csv files, my datapoints value is in ‘Values1’. If you want to see how I transform my data, please refer to ‘Yiming1999-solarTimes’, ‘Yiming1999-solarDataPoints’,’Yiming1999-solarEvents’,’Yiming1999-soalrAssests’. I am trying to further using CDF in my Lab so this is really important to me, thanks again for answering!!!