Community Discussions

Hide the Content by Default at CDF.

DescriptionAccess to the 3D should be enabled by searching for the tag in the main Data explorer screen and All resources tab . Click on Data Explorer tab.  search for 02-V-0203  see all resources  Expected Results:Searching for tag 02-V-0203, does not indicate existence of a 3D model in the main CDF Data explorer tab (count=0). No availability of 3D model in All Resources tab when the asset is selected. Not feasible to contextualize asset information in an easy manner without this 3D view becoming accessible in an easy manner. Actual Results: Access to the 3D should be enabled by searching for the tag in the main Data explorer screen and All resources tab .

When searching for revisions Approved for Use is far more intuitive that u01 as sub filter.Mapping required from OQ to add sub filter as requested

Facing Session IDP refresh from UI while running workflows and transformations. Tried using client id and client secret. Facing this since yesterday Let me know if any changes required from our end 

Is it possible to get more information on how metadata fetch is happening in opcua extractor? we tried to look at the code base(https://github.com/cognitedata/opcua-extractor-net) but its huge, anyway you can narrow down where to look for details?or if you could give a brief answer, that would be great too!​​​​@Snehal Jagtap 

Customer is using UAExpert and for the same namespaceindex of the node I'm interested in which is 2 in the Attributes section, I can see 3 namespaces in the left side with the hierarchy: one is the default base opcua.../UA, the other one is an urn and the third one is Thingworx Kepware Server. For each one, when selected, I can explore the node I'm interested in. I still don't know what uri I should use and if I should add the namespace index 2 to it in the config file under extraction-> root-node-> namespace-uri . Customer can connect to the server but it gives error on the fact that it doesn't find that uri given in the 3 options with are the namespace maps I guess.

Hello, is it possible to send the timeseries data in raw staging area in CDF instead of writing directly in CDF timeseries or link the timeseries directly to the current assets in CDF? Is not clear for me how can I do this with the current config.yml parameters. I've seen there is an option to use node-map parameter to link timeseries to assets if I'm not wrong but can anyone provide an example for this?Thank you,Raluca

Team, I have customer has with a  jupyther notebook that he is trying to use for Api Cognite Python SDK.Where do they found the correct information that must be in TENANT_ID?  Any recommendation or documentation that I can specifically refer to?  Thankyou in advance! 

Hi All,I am trying to setup FDM on Grafana. Can somebody provide document for same?Thanks you.

I have loaded a 3D model but in the documentation, I only see a manual way to contextualize the 3D model (link an object in the model to an asset). I converted our model to NWD, imported and found the name of the asset appears in cognite.client.data_classes.three_d.ThreeDNode. So I pulled out the API and contextualized the 3D model with python. My question: is an automated method to contextualizing the model not provided? If it is not provided, does anyone care to share how they are contextualizing the model.

When Grafana Reports are scheduled and if aggregation is set to anything but None in Cognite Data Fusion query, the emailed report shows no data.When None is used in aggregation, the emailed report from Grafana shows data properly.

I am learning GrpahQL -----------list queryquery {  listMonitoring(    sort: { regenerationTime: DESC }    filter: { and: [ { cycleStartTime: { gte: "2024-01-01T00:00:00+00:00" } }                     { cycleEndTime: { lt: "2024-02-01T00:00:00+00:00" } }                     { unitName: { eq: "UNIT-II" } } ] }    first: 1  ) {    items {      unitName      cycleStartTime      regenerationTime      timeUOM { description }    }  }}-----Aggregated queryquery {  aggregateMonitoring (     groupBy: [ unitName ]     filter: { and: [ { cycleStartTime: { gte: "2024-01-01T00:00:00+00:00" } }                      { cycleEndTime: { lt: "2024-02-01T00:00:00+00:00" } }                     { unitName: { eq: "UNIT-II" } } ] } ) {     items {      count {         cycleNumber       }      sum {        idleTime        cycleTime      }             group  }}}Is there a way to get related type field timeUOM { description } in the output

Hello:Please share some code example in python sdk to link a file to an asset.thanks

What happens to the container or indexes or during query for a field that has @reversedirectrelation.Kindly point to the documentation that explains what actually happens internally when a field has @reversedirectrelation.

When saving and scheduling a calculation from Charts, the enter credentials dialog hangs in the “checking credentials” and keeps trying to verify in a loop. This happens only if you select the Use CDF client ID and Client Secret option at the top. If you do not choose the top radio button and simply enter the creds and click next, it works ok. 

I have solved the BufferGeometry issue was present earlier, apparently the react-app-wired was not the latest which is why the override was not working.import React, { useEffect } from "react"import { Cognite3DViewer } from "@cognite/reveal"import { CogniteClient, CogniteAuthentication } from "@cognite/sdk"import { getToken } from "../../utils/MsGraphApiCall"import "./Models.css"function Models() { const appId = "KPI-Dev" const project = "celanese-dev" const clientId = "my-client-d" const tenantId = "my-tenant-id" const cluster = "az-eastus-1" const modelId = 7575155737800092 const revisionId = 3624517118008353 async function start() { await client.authenticate(clientId, tenantId, cluster) const viewer = new Cognite3DViewer({ sdk: client, domElement: document.querySelector("#your-element-for-viewer"), }) viewer.addModel({ modelId: modelId, revisionId: revisionId }) } const legacyInstance = new CogniteAuthentication({ project, }) // getToken() const

I am using the Python SDK endpoint to aggregate instances and passing an advanced Filter to the filter argument, i.e.:client.data_modeling.instances.aggregate(…, filter = Filter(...))But Nested filtering is not supported. It seems like the aggregate function only works on flat tables.So I am considering to create a solution data model with only flat tables. I am considering to split up the data over multiple containers in order to support the number of indexes I would like to have. My question is whether splitting up over multiple containers negatively affect performance at query time and how does this compare to trying to limit the number of indexes instead? 

hello:I want to associate files uploaded to CDF type pdf for example to my model, following this scheme:type Documentation { name: String # This is a CDF built in type file: File # this is the INVERSE relationship of the Pump.documentation # Pump.documentation <-> Documentation.relatedPumps relatedPumps: [Pump] @relation( direction: INWARDS, type: { externalId: "Pump.documentation", space: "Space_PabloPalacios" } )}but when I select the uploaded file it only shows me jpg, any ideas?

On behalf of Celanese, I would like to report an issue we encountered with the SDK Data Modeling instances aggregate, where the filter format changed from yesterday, 06/11, to today, 06/12. Until yesterday, the "equals" filter worked, but today it broke all the calls that used it and had to be modified to the "in" format, which did not work correctly until yesterday.Another bug to report in the aggregate call is that when an array of group bys is sent, the return structure has also changed, no longer receiving a structure with externalId and space, but a string concatenating the two in the format: "space:externalId”, and its nomenclature changed from "GroupByName" to "GroupByName.__direct_relation". 

How to PAN the 3D Model left, right, up, down

Hi! I’m trying to create a Power BI Dataflow using CDF timeseries data. The same data is retrieved absolutely fine when using Power BI Desktop and Power Query inside the Power BI Desktop app, but when I try to use exactly the same query as a Dataflow instead, there is a warning about: “The query “Timeseries” contains columns with complex types that cannot be loaded. Some data is retrieved, but it’s incomplete with big parts of it missing. Looks like the CDF connector is not able to retrieve the data correctly when a Dataflow is used instead of a normal Power BI Desktop dataset. Is there a way to make Dataflow also compatible with the CDF connector?  

I want to urge the developers to write a documentation that tells us how to use the available functionality.Specifically I am looking at the filtering functionality. Let me explain my use case: I need to query CDF for a lot of time series. The unfiltered query returns a TimeSeriesList of 32k TS. I only need a subset of these, and want to perform the filtering on the CDF side. I want to fetch the subset of TSs that contains any of the following strings in the name attribute (yes, the dashes and underscores included)-PT- -PI- -PIC- -PIT-Can someone please explain how to do this? Search does not match the dashes and underscores, so I think it performs a fuzzy search. But it is not explained in the docs.ContainsAny appears to only work when the property of interest is an array. So I cannot use this filter to check if a string property contains any of a list of search strings. But this limitation is drastically undercommunicated in the docs. After reading the docs several times it looks lik

Hello team,We are trying to use the data modeling query instances SDK method.client.data_modeling.instances.query(query) our query is:query { "with": { "Min_15_50ts": { "nodes": { "filter": { "and": [ { "hasData": [ { "type": "view", "space": "QA_Test_Space", "externalId": "Min_15_50ts", "version": "3a62f20104e445" } ] }, { "in": { "property": [ "QA_Test_Space", "Min_15_50ts/3a62f20104e445", "entity" ],

Can someone please suggest, how we can add additional python libraries in CDF jupyter notebook?

The information I found here is contradictory: Cognite HubSpecifically, I am interested in Aker BioMarine’s tag data on CDF (example shown below). I did not check the documentation, since I prefer to hear it here, “straight from the horse’s mouth”, if you will.Questions:Is the same time zone used for all of our assets, regardless of location of the geographic location of our manufacturing site? Is the time stamp preserved for time series downloaded using, e.g., Python / Jupyter notebook? Anything else I should be aware of?Thank you very much!