Unanswered questions

Hi there, We would like to be able to annotate instances that do not extend CogniteAsset, nor CogniteFile and visualize that in “Preview” in Search UI. Our context is purely data modeling.So we would like to have a view, that extends CogniteDescriable and to be able to annotate it towards a CogniteFile.Currently we are achieving partically that, by having an edge, (pseudo code below) ANNOTATION_TYPE = "diagrams.InstanceLink" type_node = NodeApply(space=REFERENCE_SPACE, external_id=ANNOTATION_TYPE)edge = EdgeApply( space=EDGE_INSTANCE_SPACE, external_id="annotation_<file_ext_id>__<entity_ext_id>", type=DirectRelationReference(space=REFERENCE_SPACE, external_id=ANNOTATION_TYPE), start_node=DirectRelationReference(space=FILE_SPACE, external_id=FILE_EXTERNAL_ID), end_node=DirectRelationReference(space=ENTITY_SPACE, external_id=ENTITY_EXTERNAL_ID), sources=[ NodeOrEdgeData( source=ViewId("cdf_cdm", "CogniteDiagramAnnotation", "v1"),

Hello!We have encountered some issues with backfilling on the PI Extractor. This usually goes automatically, and works fine. However, we do now have a 2 day gap in data on Cognite, however all that data is present in PI.Are there any way to “force” a backfill, or fix this issue somehow?Thanks! 

Hi,I have a Unisim connector and I am trying to parse a Unisim model with several flowsheets. It works when the model only have one flowsheet, but not when it has several. Is it possible to work with Unisim models containing several flowsheets?

Hi Cognite Community,we currently have a Streamlit Custom App hosted directly in Cognite Data Fusion that we would like to provide to end users for an upcoming testing phase.Our plan is to let the users test the current Streamlit version first, while in parallel we are working on migrating/rebuilding the application as a Flows app.However, this migration will still take some time, while the users are expected to start testing the Streamlit application in approximately two weeks.For the testing phase, we would therefore like to provide users with a direct link to the Streamlit application, but ideally without showing the surrounding CDF navigation/sidebar (Home, Search, Canvas, Charts, Custom Apps, etc.).The goal would be something similar to a standalone/full-screen application experience while still keeping the current Streamlit app hosted and authenticated through CDF.Is there currently any supported way for Streamlit Custom Apps to:hide the CDF shell/sidebar, open the application in

Hi,I have two nearly identical PROSPER models for two oil producers (A-13 and A-11) on the same oilfield. The model structure is essentially identical: same well type, same configuration, same parameters, etc. The only differences are the actual values (for example, well-specific data such as gauge depth). QuestionSince the corresponding Simulator Models are nearly identical, is it possible to create one Simulator Routine that can be executed against multiple models?Ideally, I would like to maintain a single routine and simply select which model to run, perhaps through a variable or parameter (for example, a "Model" input/SET variable).I would like to avoid creating and maintaining two identical routines, one for A-11 and one for A-13, as this creates unnecessary duplication and makes maintenance and governance more difficult.Could you please advise on the recommended approach for running a single routine against multiple simulator models? If the approach I described is not supported,

Hi everyone, in the "Debugging in Data Modeling" course in Cognite Hub, one of the prerequisites is to load an already built Data Workflow "wf-rmdm" and run it to instantiate "RMDM" with instances. The course indicate that the workflow should be deployed and then run to be able to perform the next steps. I have loaded successfully the Data workflow, however, when trying to run it as suggested in the course, I get the following error message "Workflow could not be run". The course suggests the workflow should be successful. I do not know where to find more detailed logs about this error. The expected tables are loaded as well as all the Transformations. Any idea on how to overcome this situation ?  

Hello!We have encountered some issues with backfilling on the PI Extractor. This usually goes automatically, and works fine. However, we do now have a 2 day gap in data on Cognite, however all that data is present in PI.Are there any way to “force” a backfill, or fix this issue somehow?Thanks!

Current stateWe use Cognite Simulator Connectors to run simulations.To run a simulation, a model must first be available in the Simulator Models list. Today, this is done through a data engineering process where a simulation file (for example, a PROSPER or UniSim model) is ingested into CDF as a simulator model. Once the model is available, a Routine can be created and executed against it. Possible future stateWe are considering storing simulation files directly in Cognite Data Models (they are not stored there today, but we can develop an ingestion pipeline ingesting these files from the sources and into Cognite Data Models). For example, simulation files could be associated with a Cognite Asset, such as 10-WELL-08:QuestionIf these simulation files are stored in Cognite Data Models, can they be used directly when executing Simulator Routines?Or do the files still need to be imported/copied into Simulator Models’ list before they can be used by the Cognite Simulator Connectors?

Hello,I have a user who is interested in seeing a rolling total of a value within our Cognite instance. We have created a chart where we have a very simple setup of the data point we are interested in seeing over time, and a 30 day sliding window integration function on it, which is working fine and showing the value within the chart as needed. However, we are also interested in writing this data to another time series and then being able to display the current value of this time series on a canvas using the Live data point mode. I saved & scheduled the calculation to run daily within the Chart but the scheduled calculation and the time series which it created is getting no data, with no errors anywhere that I can see. Is this something that is possible to compute within Charts?

Hi community, I'm Ernesto.My professional background is rooted in the industrial sector, specifically in metal-mechanics and CAD/CAM. I am currently transitioning deeper into the digital technology space, focusing on multimedia engineering and software development.I joined the Cognite Hub because I am very interested in how we can digitalize legacy industrial environments. My learning goals are to master the basics of Cognite Data Fusion, understand data transformation, and see how tools like Entity Matching and Cognite Charts are used to optimize maintenance and operations.Excited to be here and learn with you all

 We're migrating a production line from classic time series to CogniteTimeSeries in the data model, ingested by the OPC-UA extractor from a Siemens IIH server, and we'd like to understand how much of the metadata we hold at the source can travel with the signal rather than being reapplied afterwards. Three things, in increasing order of interest to us: Engineering units — the UnitId is discarded. Our server sends the full EUInformation: NamespaceUri = http://www.opcfoundation.org/UA/units/un/cefact, UnitId = 4937544, DisplayName = kW·h, Description = kilowatt hour. What lands in CDF is only the composed display string, in classic unit and now in sourceUnit. The typed reference is never populated: across 2,772 OPC-UA-sourced classic series in our production project, unitExternalId is set on zero, and on the data-model side the unit direct relation to CogniteUnit is null on all 854 series of the migrated line. We fill it afterwards with our own script, but the UNECE common code in UnitId

We hit an undocumented behavior of the OPC UA extractor (version 2.38.0, Docker) that we'd like to confirm.Setup: cognite.metadata-targets.clean with assets: true, timeseries: true, relationships: true, plus extraction.update fully enabled. This had been running fine for months — classic asset hierarchy plus classic time series.What we did: we added the GA Core Data Model space option to the same clean block: metadata-targets: clean: assets: true timeseries: true relationships: true space: "<our-instance-space>"What we observed:As documented, time series switched to CogniteExtractorTimeSeries instances in the space, with datapoints available via instanceId. Not documented: classic asset creation stopped entirely, even though clean.assets: true was still set. We verified this by deleting the extractor-managed asset hierarchy and restarting the extractor: after a full startup browse, no assets were recreated — no error, no failure run on the extraction pipeline, nothin

We have an app deployed in abp-sandbox for “offshore regulatory assistance” (Flows + KG-RAG agent) on the Agent API (`az-ams-sp-002`, `cdf-version: beta`). While developing document export, I've encountered a reproducible failure pattern:Generation calls with complex instructions and/or long input intermittently return HTTP 200 with empty `content.text` — no error signal. The failure threshold shifted within hours on identical configuration: a 28.7K prompt succeeded at 18:15, 25K failed 12/12 an hour later, 15K succeeded at 21:49. Compression/summarization calls of similar size succeeded in the same window where generation calls failed.A report with the full test matrix is attached.Questions for Cognite (prepared with AI assistance):1. Could the endpoint return an explicit error/finish-reason instead of an empty 200?2. Are there documented practical limits for input size × instruction complexity?3. What is the roadmap status for streaming or async chat?4. Does a plain LLM endpoint with

Need help ASAP since this is on a customer’s system Using Core Data Model + Extended Timeseries container/viewUsing Pi Extractor against Rockwell Historiansee attached video for problem description and some configuration

For a client we are trying to explore a possibility to create a Task Management application on Flows. i want to understand if someone has integerated Email notification functionality. and syncing with Client AD group.​@Aditya Kotiyal ​@Akash Sood ​@Karan Bhatia 

Hello Community,Has anyone used a UI connector to get multidimensional charts in a scatter graph form, to show distribution of data. ThanksMark