Unanswered questions

I have exactly the same issue that in Cognite Hub, somebody solved it and said: “I’ve revoked your MFA so you will have to re-register it for our Hub tenant” could you please helping me revoking the MFA and please explaining me how to re-register? thanks.

I created an App with Cognite-sdk and pandas packages. It is working fine on my system, but when i am trying to access it using a VM i am getting this error - Error during booting up Traceback (most recent call last):  File "/lib/python3.12/site-packages/micropip/_commands/install.py", line 146, in install    raise ValueError(ValueError: Can't find a pure Python 3 wheel for: 'cognite-sdk==7.80.3', 'tenacity<10,>=8.1.0', 'blinker<2,>=1.0.0'See: https://pyodide.org/en/stable/usage/faq.html#why-can-t-micropip-find-a-pure-python-wheel-for-a-pack…Frequently Asked Questions — Version 314.0.2 I already added cognite-sdk==7.80.3 and pandas in the requirements.txt. 

Hi Everyone,I have a question regarding how Cognite Data Fusion is typically used in a real industrial batch manufacturing environment.Consider a batch production process in an FMCG or chemical plant where process parameters such as reactor temperature, pressure, agitator speed, flow rate, or pH begin to deviate from their normal operating ranges, indicating a potential degradation in final batch quality.I would like to understand the typical Cognite workflow in this scenario.How does Cognite detect or identify the potential quality degradation? Is it through rules, analytics, ML models, or contextualized data? Can Cognite automatically trigger workflows, create events, or send notifications to the relevant production or process engineers? Is the next recommended action generally reviewed and approved by an operator/engineer before execution, or are there real-world implementations where Cognite integrates with control systems to initiate corrective actions automatically? How are Atlas

Hi everyone, I have a question regarding operational workflows in Cognite Data Fusion.Suppose CDF detects a potential quality degradation in a batch process based on process parameters (e.g., temperature, pressure, flow, etc.). What is the typical approach in real industrial deployments?i)Does CDF automatically trigger the next course of action (for example, adjusting process parameters through an integrated control system)?ii)Or does it first generate an alert/notification or workflow for the relevant engineer/operator, who reviews the recommendation and approves the action before anything is executed?I'm trying to understand how Cognite is typically used in production environments, especially the balance between AI-driven recommendations, human-in-the-loop decision making, and automation. Any insights or real-world examples would be greatly appreciated.

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"),

Say I have a some modules containing issues. If I run cdf build on them, and the output is a message saying “Do not proceed to deploy” I would expect the resulting status code to be non-zero, so you can detect failures in deployment scripts.Real example of the build unexpectedly returning a successful status-code:I run this command: uv run cdf build -m modules/module1 -m modules/module2 -m modules/module3 && echo "This only prints if the previous command returns a Success status code" This is a problem because CI/CD pipelines won’t catch that there are issues with the modules.​​​​​

Dear Team,I’m unable to reassign the assessment “Cognite Data Fusion Fundamentals Assessment (DM) “ refer below snap. 

assessment link is not available  

Hi Team,We are working as a data platform team and there are multiple data product teams using our application. Each data product team has a different space to isolate their data. Is there a possibility to see the storage statistics restricted to space level? Clients also want to see “max number of concurrent requests”.

Hi everyone, I have a question about Cognite Data Fusion. If a production batch starts showing quality degradation, can CDF automatically detect it, notify the relevant engineer, and provide an AI-assisted root cause analysis with recommended actions? Or does this require additional AI/ML integrations on top of CDF? I'd appreciate any insights. Thanks.

Hi I’m writing an ndjson to upload assets with the cdf toolkit data plugin, I’m wondering how to format a double direct relation on the ndjson. This is the ndjson I’ve been working on… the first line I tried to represent the direct relation as a property but seems like it’s not it. I’m working with the ISA95 data model.{"space": "compressor_demo_instance_space", "externalId": "ISD", "instanceType": "node", "sources": [{"source": {"space": "compressor_demo_schema_space", "externalId": "Enterprise", "version": "v1", "type": "view"}, "properties": {"site": [{"space": "compressor_demo_instance_space", "externalId": "Compressor_Demo_Geonosis"}], "enterprise_id": "ISD", "enterprise_name": "Independent System Droids"}}, {"source": {"space": "compressor_demo_schema_space", "externalId": "ISAAsset", "version": "v1", "type": "view"}, "properties": {"name": "Independent System Droids", "description": "Independent Systems Droid Foundries"}}]}{"space": "compressor_demo_instance_space", "externalId"

Now we want to fill the time series with data points. Navigate to Data Management > Build solutions > Jupyter Notebooks Copy and paste the code below in a cell within the Jupyter Notebooks (Remember to replace FirstnameBirthyear) Trying to ingest the data using the Python code as shown below but getting warning ?  

Hi, I created the asset Dutta2026 in order to transform the academy data but I receive the following error “[ASSETS] Request with id a8ff7523-7c66-9300-82e5-37961456d56d to https://api.cognitedata.com/api/v1/projects/cdf-fundamentals/assets failed with status 403: Resource not found. This may also be due to insufficient access rights.”Can somebody please help with what’s the issue and how to resolve it? Regards,Sushmita

Hi everyone,While querying the CogniteAsset view, I encountered an error when including the activities field in the selection. The API returns the following message: "Cannot traverse lists of direct relations inwards." Upon investigating, I noticed that the activities field in the CogniteAsset view is defined as a @reverseDirectRelation: activities: [CogniteActivity] @reverseDirectRelation(throughProperty: "assets") In turn, the assets field in the CogniteActivity view is defined as a list of direct relations:assets: [CogniteAsset] @directRelationThis makes sense as the root cause, since reverse traversal over a list of direct relations is not allowed, which explains the error.Given that this field leads to an invalid query pattern and always results in an error, should the activities field be removed from the CogniteAsset view to avoid confusion and runtime errors? Here’s a minimal query that reproduces the issue:query MyQuery {  listCogniteAsset {    items {      aliases      activit

Access a table (likely RAW table / staging table) in Cognite Data Fusion (CDF) Call it from ThingWorx using REST APIs Possibly map the data into ThingWorx propertiesIn CDF, I have a staging table. How can I access this table’s properties in ThingWorx using a REST API.How to create Authorization Bearer CDF_ACCESS_TOKE.!--scriptorstartfragment-->Rest API URL: https://api.cognitedata.com/api/v1/projects/ptec-04/raw/dbs/RK-FTDM-DB/tables/RK-FTDM/rows/listhttps://ptec-04-datamosaix.fusion.cognite.com/ptec-04/raw?cluster=westeurope-1.cognitedata.com&workspace=data-fusion 

Hello, We have around ~10/15 CDF functions. We deploy these functions via cdfToolkit.We notice that deployment of new version of a function takes around ~10min in order for it to be fully available. In the worst case where we modify a common module used by all function, redeploying of all functions can reach ~30-40mins. During this time these functions are not available and results in a failure in the dependent high frequency workflows. We wonder if there is a way to accelerate deployment of new function versions. Thank you!  

MQTT broker - Cognite DocsHi,I would like to understand how to use the MQTT broker hosted in Cognite. Could you please share any documentation, guidelines, or best practices on how to connect to it, publish/subscribe to topics, and integrate it within a data ingestion workflow?Any examples or recommended configurations would also be very helpful.Thanks in advance for your support.Best regards, Gerome

can I get CDF git hub repository file ,as git hub is not accessible in the organisation.

Currently if I perform a search, in equipment for example, I can only display the first 100 results with no ability to see the remaining results.  There is also no way for me to export the results to an excel spreadsheet. We can work around the export issue but there doesn’t appear to be a workaround for viewing more than the 100 first results.   

When creating transformation, the fields in the instructions are different than the module. Are these instructions outdated?

Hi, Currently been working on the deployment of an app through Flows, and during my first deployment + activation, it went well. The issue was that the name and description I had put was more so for a demo project (‘my-test-app’) than something descriptive. I tried first updating app.json with new values for name and description fields while simultaneously bumping the versionTag. Then I redeployed and activated once more. The output of the commands seemed like it had been successful, but when viewing the app in the CDF UI interface, it still said the old name while also stating that it was last updated during my first deployment.Then I saw from the CLI that there was a ‘deactivate’ command. I wanted to try this in order to then see if I deactivated the one present and then deployed again now with a new externalId that it would hide the previous one and deploy correctly my one. But the wierd thing is that the output of this command says that there is no active version, while apps status