Solved

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

I'd like to inquire about the current status of the monitoring functionality in the workflow orchestration. Specifically, I'm interested in the setup for notification emails. It would be helpful to know if we are able to receive notifications in the event of a workflow failure. Could you please provide an update on this?

Hello experts,I’m looking to work with data workflows.I’m looking to trigger on node with a specific attribute (direct relation to another view) empty.I’m trying to work with the UI but I struggle with the Data modeling query validation.I don’t understand why the validation fails and what is the expected format for the query : JSON seems to be the expected format as seen here : But documentation uses YAML : https://docs.cognite.com/cdf/dm/dm_concepts/dm_querying#graph-query-examplesI’m a bit lost and I need your help. And my query : { "with":[ { "ts":{ "nodes":{ "filter":{ "exists":{ "property":[ "nameTranslations" ] } } }, "limit":1000 } } ], "select":[ { "ts":{ "sources":[ { "source":{ "type":"view", "sp

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  

Hello Team,I am going through the using-cognate-python-sdk-data-modeling course and noticed that the notebook is not returning any datamodelingInstancesList.instances.When I checked the UI, I noticed that I don’t have enough permission to see the Data ModelsPlease advise…….  

Hi, i was asked to bump the toolkit version to 0.7.137 or higher, so we can enable some config for agents tools.When i tested i got some errors,Last run worked fine, on toolkit version 0.7.69 (last friday), for both pipelines below. I have tried both version 0.7.137 and 0.7.139, getting the same error on both Error (on dry run step) - synergi pipeline: Pipelines - Run 20260302.2 logs ^^^^^^^^^^^^^^^^^^^^^^^^File "/home/vsts/.local/lib/python3.12/site-packages/cognite_toolkit/_cdf_tk/apps/_core_app.py", line 367, in <lambda>….^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^File "/home/vsts/.local/lib/python3.12/site-packages/cognite_toolkit/_cdf_tk/client/api/functions.py", line 62, in retrievereturn self._request_item_response(^^^^^^^^^^^^^^^^^^^^^^^^^^^^File "/home/vsts/.local/lib/python3.12/site-packages/cognite_toolkit/_cdf_tk/client/cdf_client/api.py", line 115, in _request_item_responseresponse_items.extend(self._validate_page_response(response).items)

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

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?

The MQTT hosted extractor is erroring out and showing the following message: Internal database error: Session has expired: Session was not foundI’ve tried pausing and resuming the extractor, and modifying the configured sink, without success.

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?

Dear Community,I am facing an issue when attempting to pull data from CDF into Excel through OData connector,Main purpose is to have data pulled into excel & get periodically updated (+ historian)As the Data from InField is required to be pushed into a specific Excel format for external reports.However, the main issue is that after adding URL :https:// westeurope-1.cognitedata.com/odata/v1/projects/{myProductionProject}I immediately get the Navigator view ( no prompt to sign in yet) Then once I try to get any data, the login pop-up window is there, but is rejecting all authentication methods:for both current & alternate credentials  and this is for all levels of the URL -For Web API Key Value, I wasn’t too sure where to get it fromTo note, I know I have the required access, as I can pull data normally in PowerBI REST API,Please advise, does the organization that has that  project need to add anything on azure ENTRAID side to allow this? or is it a different mistake I am making?

 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 

Description / Problem StatementWe are using the Cognite 3D File Extractor to migrate 3D model files from an on-premises Windows VM to Cognite Data Fusion (CDF).The majority of 3D files are ingested successfully with multiple sizes mostly > 10 GB. However, four specific files consistently fail ingestion, even after multiple retries.Key observations:All failing files are close to 5 GB in size Example sizes (as shown in Windows Explorer): 4.99 GB 4.94 GB 4.91 GB When checked via terminal/command line, these same files report a larger actual size (~5.3 GB) It appears that based on the Windows VM file size, the 3D extractor determines it should use a single-part upload. However, when it attempts to upload the actual file, the process fails because the size exceeds 5 GB      

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  

Hi colleagues!I was seeking the course “Data Engineer Basics: Transformation and Contextualize” but the original link is broken: http://learn.cognite.com/path/data-engineer-basics-transform-and-contextualizeReference: Cognite Hub What happened?

Hi , I have the CogniteActivity in the CDM/EDM data model which the assets is part of the model: Below is the sample data of CogniteActivity:This is the data model for Event in PDM:I tried to transform from CDM/EDM to PDM using below transformation, but i am not sure what is the script to transform CogniteActivity to PDM Event:And i got below error: Anyone know how can I transform CDM/EDM asset node reference to Event entities attribute? Thank you.

Hello everyone. I’m looking to use a package from github the same way I already use it in requirements.txt for Cognite Function.The format is :git+https://<token>@<url>@<branch>When I add this line in settings :Error during booting upTraceback (most recent call last):  File "/lib/python3.12/site-packages/packaging/requirements.py", line 35, in __init__    parsed = _parse_requirement(requirement_string)             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^  File "/lib/python3.12/site-packages/packaging/_parser.py", line 64, in parse_requirement    return _parse_requirement(Tokenizer(source, rules=DEFAULT_RULES))           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^  File "/lib/python3.12/site-packages/packaging/_parser.py", line 82, in _parse_requirement    url, specifier, marker = _parse_requirement_details(tokenizer)                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^  File "/lib/python3.12/site-packages/packaging/_parser.py", line 126, in _

Hi Guys,I tried to use a transformation from the SDK but i keep getting error on Transformation credentials. Do you guys know what I need to do to solve this credentials issue. I have check the current credential for the Service Account that I use and the access for tranformation has been granted. def fetch_raw_table_via_transformation(    client: CogniteClient,    db_name: str,    table_name: str,    calculation_date: Optional[str] = None,    columns: Optional[List[str]] = None) -> pd.DataFrame:    """    Fetch data by running a temporary CDF Transformation (uses Spark SQL engine).        This is the RECOMMENDED approach for production workloads:    - Runs on CDF's managed Spark infrastructure    - Handles billions of rows efficiently    - Server-side filtering and aggregation    - Can write results to temp Raw table or return directly        Note: Requires transformation permissions in CDF        Args:        client: CogniteClient instance        db_name: Name of the RAW database 

Hello,  Some capabilities, such as dataModelInstancesAcl or dataModelsAcl, support the spaceIdScope scope. Currently, we can only specify the spaces to which we want to grant access.To better support certain use cases, would it be possible to introduce support for exclusion rules or regex-based expressions within this scope? Thanks 

I have a bit of a conundrum here. I am trying to visualize the daily and weekly averages of a time series in Azure Managed Grafana v11.6.3 using the CDF datasource. Raw data is strictly on hourly resolution, and provided in CET/CEST. Grafana is set to browser tz (i.e. CET/CEST). I need the daily average to align with CET midnight (=23:00 UTC). I use these synthetic series parameters: aggregate='average', granularity='24h', alignment=82800000 (82800000 aligns the datapoints to the correct hour if I do aggregate='step_interpolation', granularity='1h'). The returned value is neither the UTC day average or the CET day average. It is exactly the average of the two. So from what I see it seems to be a 30-minute shift/interpolation in the backend. Case in point: CET day average for a specific day is 158,67, while its UTC equivalent is 159,83 (see screenshot). Neither value is found in Grafana for that day at 00:00 - here I see 159,25. Which coincidentally is equal to (158,67+159,83)/2. The ti

Hi Team, Is there any possibility that I can register for Bootcamp virtually or it can be in India location as I am from India.Also, want to know is the Bootcamp is for individual or group and the cost for attending the Bootcamp? Thanks,Navyasri Indupalli