About star_board

I resolved the issue by reducing the cycle time for trend storage to a shorter interval:     ... View more

Thanks for the help! 😊 I successfully managed to delete subscriptions using the method described below. I'm sharing it here since it may be helpful to others: 1. Switch to Service mode and disable the app. 2. Access "Manages app data". 3. Change to file view. 4. Access modbustcp/server/instances and delete the relevant .json file.   ... View more

I manage to get the result I wanted using PLC Engineering DUT objects  and making them available on the Datalayer. This approach could potentially serve as a solution for those pursuing similar results: But it seems that , contrary to Sgilk's initial beliefs, this "nested" nodes might be a built in feature of the datalayer... And might be achievable using KVD app. One think I noticed is that upon examining the corresponding Type nodes (PLC vs KVD), they seem to be identical. ... View more

Thanks for the help! I did manage to do it using your example with starlark processor! 😁 I had to slightly modify my approach and store the variables "Value" and "PLCTimeStamp" in a DataLayer array, rather than in separate nodes, to retrieve them in the same metric instance:     [[processors.starlark]] source = ''' def apply(metric): metric.time = int(metric.fields["PLCTimestamp"]) return metric '''     Additionally, I experimented with using the Converter processor. I will leave the code here since it might be usefull to another person:     [[processors.converter]] [processors.converter.fields] timestamp = ["PLCTimestamp"] timestamp_format = "unix_ms"           ... View more