Unanswered questions

Hello Experts,I’m trying to use advanced filter on timeseries through SDK. I can do what I want except in the following situation: the asset_id property is null. Can anyone help me?I tried :from cognite.client.data_classes.time_series import TimeSeriesPropertyf = filters.And( filters.Equals("data_set_id", 123456), filters.Equals("name", "foobar"), filters.Equals(TimeSeriesProperty.asset_id, ""))[advancedFilter.[2].equals.value A string is not a valid value for the property "assetId"]from cognite.client.data_classes.time_series import TimeSeriesPropertyf = filters.And( filters.Equals("data_set_id", 123456), filters.Not(filters.Exists(TimeSeriesProperty.asset_id)),)-> 0I’m sure there is timeseries where timeseries.asset_id is None.Thanks experts !Regards,Pierre Rambourg

Hello, Can someone help with the below issue? Customer installed the FT DataMosaix SQL Extractors last year and the subscription ran out in November.The customer purchased a new entitlement in February. For some reason my extractors have not been able to push data from the site SQL server to the Cognite RAW database since Feb. 8th 2026.What can I do to correct this connection problem?Please see the attached file word doc with the customer’s ODBC check results. Regards,Henwill BalladaresRockwell Automation    

Hi Cognite Team,We are currently defining an integration pattern for a partner who will provide data from an OPC UA source into Cognite Data Fusion.Our preference is to use a managed MQTT broker in CDF and avoid deploying any self-hosted MQTT broker or additional bridge components on-prem.Based on the documentation, we understand that the OPC UA Extractor supports an mqtt: output mode, but it also references a requirement for the MQTT-CDF Bridge and a configured broker host/port.To ensure we define the correct and supported architecture, could you please clarify: Is it supported to configure the OPC UA Extractor to publish directly to the Cognite-hosted MQTT broker in CDF? If using the Cognite-managed MQTT broker, is the MQTT-CDF Bridge still required? Is a self-hosted MQTT broker mandatory when using the mqtt: configuration in the OPC UA Extractor? What is the recommended architecture today for a partner delivering OPC UA data into CDF using MQTT? Our intended target architectur

Hi,I’m using toolkit to deploy files to CDF. I am using FileMetadata.yaml as in- externalId: 'my_external_id.usc' name: 'my_external_id.usc' source: 'toolkit' dataSetExternalId: 'my_dataset_external_id' mimeType: 'application/usc' metadata: origin: 'cognite-toolkit'I have my .usc file in the same folder and toolkit is not uploading the file (just deploying the metadata).The dry run recognizes that there is file content to be uploaded, but it does not do itUse case: I am trying to upload a file to be used in the simulator connector routine. I tried deploying just the file first and then deploy the routine and also tried both together, but it did not work.Any thoughts? 

I have 3 Views, ViewA, ViewB & ViewC. View A has direct relations to ViewB & ViewC via properties DefectEventID & AssetId, respectively. Pagination is expected and with Instance.Query end point, looping via cursors, it is not giving results for ViewB  & ViewC, apart from the first 100 records from the first call of instances.query(query). What is the best way to populate all_ViewA_Nodes,all_ViewB_Nodes ,all_ViewC_Nodes  Pagination via multiple cursors from Instance.Query?query = dm.query.Query(            with_={                "ViewA_Nodes": dm.query.NodeResultSetExpression(                    filter=filters.HasData(views=[ViewA]),                    limit=100,                ),                "ViewB_Nodes": dm.query.NodeResultSetExpression(                    from_="ViewA_Nodes",                    through=dm.PropertyId(                        source=ViewA,                        property="DefectEventID"                    ),                    direction="outwards", 

I have used the db extractor before, but with version 4.0.0 it now comes with a connect.yml and a config.yml. The documentation still lists one config file to be used. I’m not sure how to use the connection file, which looks like it used to be the cognite portion of the of the config file.I tried combining the two into one file, but when running “ dbextract.exe -c config.yml “ I am getting errors that its not expecting inputs such as version, log-handlers, database, and queries.How am I supposed to use these 2 different files when I run as an executable?Thank you

Hi,In the course “match entities with python sdk ” https://learn.cognite.com/match-entities-with-python-sdk, when running the notebook, I can modify it to connect to Cognite using the same credentials as in the “Learn to Use the Cognite Python SDK” course. When I get to cell 5, I get this error:“””TypeError: DataSet.__init__() missing 5 required positional arguments: 'id', 'created_time', 'last_updated_time', 'description', and 'metadata'“””This is what is in cell 5:# Create datasetstry: bra_dataset = client.data_sets.create(DataSet(external_id="BRA_TestData", name='TestDataset', write_protected=True))except CogniteDuplicatedError as e: print("BRA_TestData already exists, you can continue") bra_dataset = client.data_sets.retrieve(external_id="BRA_TestData")try: nor_dataset = client.data_sets.create(DataSet(external_id="NOR_TestData", name='TestDataset', write_protected=True))except CogniteDuplicatedError as e: print("NOR_TestData already exists, you can continue") nor

In “Learn to Use the Cognite Python SDK” Learn to Use the Cognite Python SDK, in notebook 3 (using-cognite-python-sdk/notebooks/3_Create_Update_Insert.ipynb at main · cognitedata/using-cognite-python-sdk), when I run it, it authenticates, and it all works (including notebook 1 & 2), up to notebook 3, cell 5. I get the following 403 error: Here is the text output of the error:“””CogniteAPIError: Not allowed to perform instances action: WRITE | code: 403 | X-Request-ID: 3e84dcdf-699a-92e5-9481-7eb475505e37 | cluster: westeurope-1 | project: ds-basics The API Failed to process some items: - Successful (2xx): 0 item(s) - Unknown (5xx): 0 item(s) - Failed (4xx): 2 item(s)“”” Can I please have advice on what to do? 

Hello, Is it possible to be alerted by email when a function or a workflow invocation fails? Thank you!

In addition to using config.[env].yaml, is it possible to create a custom file for configuring variables and then reference those placeholders in data models, transformations, workflows, etc ?For instance, I have several common SQL blocks that I would like to share across different transformations. While I could define them as variables in config.[env].yaml, I prefer to keep SQL-related variables separate from others in order to maintain clarity.

Hello Team,I am going through the Cognite Charts course and want to create a calculation but I don’t have write access…...can you please help me get this access to follow along the course  

Working with a hybrid model and creating node mappings using the following API:https://api-docs.cognite.com/20230101/tag/3D-Asset-Mapping/operation/create3DMappingsImplemented the CreateAssetMapping3DDmsBody to create the node mappings.However, when attempting to retrieve the list of node mappings along with their DMS instances, the response consistently returns an empty list. (Get 3D asset mappings, with query parameter getDmsInstances=true)Has anyone encountered this behavior or knows why mappings created through this endpoint are not appearing when queried? Any insights or guidance would be greatly appreciated.Thank you!

Hi! We are building a Bayesian model using PyMC with a JAX backend, and want to run this model continuously on new incoming data inside a Streamlit App hosted in Cognite Data Fusion. As the library depends heavily on compiled extensions, there are no pure Python wheel for this. Is there an alternative approach for running PyMC models?Thanks!

When hovering over the dropdown, the legends are lingering making it hard to find and click on correct time series. Happens when creating calculations in Charts. 

Hi,I tried to create timeseries using SDK and i want to create using the instanceID as below: but i got this error:What is the correct way to create timeseries using instance? Thanks

I have created and published an Atlas AI agent which I am able to use from CogniteUI. I tried to use this agent via Cognite SDK. I am able to list all agents and able to retrieve my agent. However, when I tried to send Message to my agent I got following errorclient.agents.chat(agent_external_id= “external_id”, messages=  Message("Provide list of wells in Field"))CogniteAPIError: Agents with tools that run on the client side are not supported for non-Fusion users. | code: 400 | X-Request-ID: 9eac0212-9f5f-9dd9-9372-7073768dc3e8 | cluster: westeurope-1 | project: ------No idea what this means. Can you please help to fix it?

Issue: Some functionality is not working properly in Edge browser, while it works fine in Chrome. We have a few internal tickets highlighting these issues: Ticket 1 – Search issue in Cognite Data Explorer:    The user is trying to search for the asset “E206” in the Assets section using Edge, but it does not appear in the results. Searching the same asset in Chrome works correctly. This issue occurs only with the E206 asset; other assets in the same hierarchy are searchable in Edge. Ticket 2 – Canvas not loading properly: Canvases are not loading correctly in Edge. The same canvases load without any issues in Chrome.  Ticket 3 – P&ID diagram loading issue: A user is trying to load a specific P&ID diagram in Edge, but it fails to load. The diagram loads correctly in Chrome. Steps Taken to Resolve Clear Edge Cache and Cookies   Navigate to Settings → Privacy, Search, and Services → Clear Browsing Data → Cached Images & Files + Cookies.   Restart Edge and log in again.  Che

At Aker BP we are currently using the Cognite file extractor, and have some bugs and improvement points to report. Some of the bugs here are a big concern for us using the extractor going forward:1. Missing‑as‑Deleted Flag Does Not Work as DocumentedWhen missing-as-deleted: true and delete-behavior: hard are configured, the extractor does not delete files that are absent from the source query. This contradicts the documented behaviour and makes it impossible to rely on the extractor to keep target datasets clean. Because the executable is closed‑source, the root cause is unclear. From a developer who configures the file extractor: This bug went undiscovered for some time because the previous extractor had to be replaced, and has different behavior from the new file extractor on full loads. (This seems to be a bug in the new extractor.) The previous deprecated Documentum Extractor would delete all files that it did not upload for that specific extraction. This also caused issues in the

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.   

I have a problem with retreiving data with the Python SDK. In a time series I have a data point for 2026-03-11 13:45:00 with the value “0.0”. If I retrieve it without any aggregation, it is (as it should be) “0.0”. If I retrieve it aggregated to a 15min resolution with “average” aggregation, it becomes “0.5”. Both “max” and “min” aggregations however give “0.0” - as should be expected. So there seems to be something off with the “average” aggregation. See screenshot for the case:  Is this a known behaviour?

Button to close window disappears when browser window is too small. It is quite inconvienient that the “close” button is one that disappears. Is this by design or a UI bug?

 Dears,Would you please advise how can we hide specific layers (for ex. the crane) in the 3D model and then to save the updated or customised revision?is the revision editing for 3D models doable inside CDF itself or there is a specific workflow needed for it, as you can see it the snapshot below: Thank you! Fatima 

On the platform, when we have more than one annotation on a file, if they are very close to each other (overlapping by a pixel or two), the platform shows the overlapping box so we can select the correct annotation.I understand this as a bug.See the images below:The tags PB2885C and XA2885C are very close to each other. The overlap between them is barely noticeable.However, when you click on either one, both tags appear in the overlapping box:I’ve seen this happen every time we have annotations that are very close to each other.For a better user experience, it would be ideal if, at the moment of the click, the platform could understand that only one annotation is actually inside the click area.This would prevent the overlapping box from appearing and would solve the issue.Is this something we can have fixed?

Dears, How can we have the 3D Model pushed into a power BI dashboard with the annotation as well, since the one we had is like a static 3D and it says that the annotation cannot be extracted along with it.is there a way to have it annotated in a dashboard? Thank you?Fatima 

Dears, How can we get the filled checklist in Infield exported for example in excel format for reporting purposes or archiving, InField's filled Checklist reports (including messages, Notes, and checkboxes) as excels is there a way to have it though an API, or is this feature coming soon? Appreciate you help in this since it’s urgent need.  Thanks!Fatima