Hi. For some reason my events retreived via the CDF data source for Grafana come with time stamps in epoch format:In the examples given in the documentation, events are returned with a human-readable time format. Any idea what I am doing wrong here?
Hi All,In C# SDK Upload link description says it provide link to upload file in GKS. Does it work if CDF is hosted on Azure as well.
Hi All,I am trying to retrieve the data from Raw table using C# Sdk. I am using the ListRowsAsync and it is giving me the error that project limit reached although there is one row in the Raw table. Also, there is one column which contains the JSON data. I am able to read the same data using Python SDK. Does anybody have example for C# SDK.
Hi.It would be useful to access metadata from time series in Grafana. Some of our time series contain simple integers 0, 1, 2.., and the meaning of each value is a string described in a metadata field set on the time series. Could this functionality be added to the CDF Grafana data source? Or is there a way to access this information in Grafana through another Grafana plugin? I see that there is a CDF PostgreSQL gateway, but its documentation says that it’s only for writing data to CDF, so assume this cannot be used for fetching timeseries metadata through the Grafana PostgreSQL data source?
Hi. In our CDF project, we have 19 time series whose external IDs ends with .EUR. Examples:NordPool.Price.Regulationmarket.RegulationDownPrices.NO1.EUR NordPool.Price.Actual.Dayahead.SE4.EUR NordPool.Price.Actual.Dayahead.NO2.EURUsing the CDF Grafana connector, I would expect that I could extract all of these using a “Time series custom query” like this: ts{externalId=~".*EUR"}However, the query only returns a single time series. The same problem occurs for trying to apply a regex filter on name or on a metadata value. E.g. ts{metadata={timeSeriesCategory=~'.*Lifetime'}} returns only 6 of our 116 “Remaining Lifetime” time series.Does anyone else have this problem? Is it a bug in the Grafana CDF connector?
Hello Team,I am working on creating POC on PROSPER Connector I checked documentation of Cognite Prosper Connector. Connector is provided by Cognite, but where can I get simulator for POC purpose?Also in connector configuration, where to provide simulator details or simulator name?
I am trying to create a synthetic time series query that looks are two other time series and if those values meet a certain condition, is outputs a 1 or 0 as the synthetic time series but I keep getting a syntax error that I can’t solve. Below is a code sample. temp_id_list = [3308928194658464]flow_id_list = [1256034258207391, 3564715377369546]for temperature in temp_id_list: temp_expression = f"TS{{id:{temperature}}} < 200" flow_expression = " + ".join([f"(TS{{id:{flowrate}}})" for flowrate in flow_id_list]) final_expression = f"if({temp_expression} and {flow_expression} > 0, 1, 0)" cv_query = client.time_series.data.synthetic.query(expressions=final_expression, start="1d-ago", end="now")
Hi. I’ve found a few references to “unit catalog”, “target unit”, and “target unit system” in the python sdk documentation. However, I wasn’t able to find a more complete description of this functionality. I assume it is there to assist with unit conversion, simliarly to what you can do in Charts? Can this also be used with custom units, that are not in the Charts standard units?Is documentation/explanation of this feature available somewhere?
Hello,Can I get an example of a CDF function that deploys a .pickle or .joblib model into CDF, then calls the model?Thanks,Diana
We have a unique use case where there are data points collected from PI server for refinery plant and alongside, we have other refinery data like Crude assays, Diet, Mass Balance. All these data points (in tabular format) are collected and then some formula is applied across to get properties (like swing cut %, CBLISS, Vol%, etc.) and some derived tables are created. Then some input feed is made from the actual data sent to a Petro-Sim tool (math simulation tool/modeling) and then output from that tool is collected and stored. All these data wrangling is done and finally charts are finally made for some 50+ crude product variants to measure yield tracking (Actual data, non-linear model data, linear model data). As per design, we are planning to use the CDF raw tables and then do all the computations and create derived raw tables to fulfil the purpose. Then use Petro-Sim connector and then store the data output from the model tool as well in raw tables. So, we don't tend to see the typi
While using cognite-sdk-dotnet, it needs API key whereas I have client-id and secret with me. How can I get the API key for the same? Or there is some alternative way to work with client-id and secret.
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