Community Discussions

I have got postman connected to the publicdata project using the details below:Environmenttenant-id: 48d5043c-cf70-4c49-881c-c638f5796997 baseUrl: https://api.cognitedata.com project: publicdata cluster: apiAuth token:callbackUrl: https://postman.cogniteapp.com/loggedin authUrl: https://login.microsoftonline.com/{{tenant-id}}/oauth2/v2.0/authorize clientId: https://postman.cogniteapp.com Scope: https://{{cluster}}.cognitedata.com/.defaultI sign in with the credentials I used to sign up in the Cognite Academy, which I understand means they are added to the Azure AD for the publicdata project.I can access some of the api endpoints via Postman so the authentication is working but I get a 403 unauthorised when I try to list all Assets. Am I meant to be able to see the assets in Postman with this setup? Thanks in advance, Andy

I want to visualize some data from the API directly in Power BI. For instance, I want to display data about extraction pipelines https://api-docs.cognite.com/20230101/tag/Extraction-Pipelines/operation/listExtPipes. How can I use the CDF API as a data source in Power BI and input my credentials there in the correct way? Thank you! 

Across multiple javascript projects, we use the @cognite/sdk. We observe some strange behaviour when it comes to authentication and see the Chrome network panel full of HTTP 401 calls. When debugging the issue, we see that the getToken method supplied to the CogniteClient class only gets called some times. And when it does, the code on our part successfully retrieves a valid token. This leads to some unwanted behaviour and the user sometimes needs to refresh the browser in order to correct the browser state.I suspect the fact that we make a new instance of CogniteClient everytime we use it could be the culprit. I read from the source code baseCogniteClient.ts that the getToken function is not called each time in order to “To prevent calling `getToken` method multiple times in parallel”. Not that I am really able to follow this behaviour over multiple instances of the client.Any pointers as to what might cause this problem?const getToken = async () => {  // this code only hits some t

Hello Cognite experts, I trying to find our some reference material to explore regarding integrating data from RTSP in Cognite. Are there any workflows/POC/documentation/examples available for this data source? 

Hello,Is it possible to host a pickle file (which contains a ML model) in CDF and use it to make predictions for the available data in the platform?If yes, what are the steps ? I browsed the documentation but I haven’t found anything relevant

Hi,I am running parallel tasks(Cognite functions) in Cognite workflows. One of the task is creating table in Raw db, where as other one is deleting the table. Whatever table is create, its name is passed as input to other function deleting it.First attempt I ran 150 parallel tasks in a 10 workflows(each 15 tasks). One table was not deleted from raw db  In second attempt I ran 200 parallel task in 10 workflows(each 20 tasks). In this case 8 tables were not deleted from rawI was not able to debug why those table not get deleted. As the delete function status was showing ‘Completed’ on Cognite UI.Can you please help why this tables are not getting deleted? If there is a limit of parallel task execution then how to exceed this limit? And how to debug this scenario where there is no function execution failure?Attaching the test workflow for reference. Run workflow-deploy-job.py file to deploy workflow on cognite project. Edit functions.json and workflow-deploy-job.py files for replacing cog

Hey Guys, I would like to know when will be possible download the Canvas Page.

Ingesting data through OPCUA where the OPCUA Server timezone is set as UTC+8.After ingestion, the timeseries somehow normalize the data to UTC+0.E.g. Ingesting data at 2024-09-11 11:00+08:00But checked the timeseries data as 2024-09-11 11:00+00:00 which mean 2024-09-11 19:00+08:00.How do we ensure that the ingested data uses the correct timezone when storing it?

Hey.I am trying to set up a monitoring job in Cognite Charts, with notifications sent to an Microsoft Teams Channel Email. It looks like the email would not be recognized as an valid email.I got this error: “You should select a user or write a valid email address”The email format is xxxx..onmicrosoft.com@emea.teams.ms Any suggestions on how to resolve this?

Can someone tell me about this. if i Want to keep OPC UA realtime data into cdf RAW using opc ua extractor?

Hello I was having the Authenticator setup for logging to zendesk and other cognite sites. But somehow its not there on my mobile now. can you help with re-registering ?my id - nbhatewara@slb.com Neeraj B

2 Questions:What is the user limit for the number of Industrial Canvas pages they can create?Can we auto-delete Canvas pages after some time [Ex: 3 days] to avoid overpopulating the Canvas page/data?

Hello everyone.I was testing the offline mode on Infield and got an odd behavior using an iPad, with Safari: when I get offline, I am not able to select any field to insert values nor click any buttons. It is only possible when I am back online.  Is this how it is supposed to work?I have a video but could not attach here,Thank you in advance.

Hi,I have defined a Data model with two Views, say Employee and Address, both of this do not have any relationship.For instances in Employee and Address view I have kept externalIds same, say emp101, emp102,... for both view instances.EmployeeextrenalId Name Age emp101 Tom 30 emp102 Harry 28  AddressexternalId City Pincode emp101 Pune 123 emp102 Mumbai 456  I am using cognite sdk sync api call to synchronize instances of Employee view.There is one Transformation on Address to update all the pincode values.After running transformation, when sync api is called it always return all the values of Employee instances even if they are not updated. Is there any resolution to this unexpected behavior?  

Is there currently a best practice for adding a geographical location to an object in a data model?I’ve considered simply using a string property to my model containing wkt-formatted strings, or a GeoSpatial feature external id, but none of them seem ideal. I assume there is a size limit on strings - so that wkt might be a bad choice? We’ve previously discussed this for timeseries, where you mentioned that data model geolocation was on the roadmap. Any update on this? 😊 

Hi,I am using Time zone and Calander granularity function (Release timezone and calendar features in DatapointsAPI (beta) by haakonvt · Pull Request #1779 · cognitedata/cognite-sdk-python · GitHub)I am facing an issue wherein I am passing following datadps_lst = client.time_series.data.retrieve_dataframe_in_tz(   external_id=list,   start=datetime(2023, 6, 24, tzinfo=ZoneInfo("America/New_York")),   end=datetime(2024, 6, 27, tzinfo=ZoneInfo("America/New_York")),   aggregates="average",   granularity="1month") For the End date time is given as 27th June 2024; while I am expecting to get a calculation from 1st June- 27th June; I am receiving an output from 1st June- 30th June. the functionality is not considering “end” date while calculating.  

Hi, we are using Cognite PI Extractor and in PI we have time series where there in some cases are only nano seconds between each datapoint. Since CDF use epoch milliseonds how will the extreactor handle such cases? 

Hello,Is there a way to round timestamps of the incoming OPC UA tags to second within the configuration file? I have gone through the documentation but haven't found anything like that. The problem is that for some tags coming from an OPC UA server I make some simple transformations and these tags are coming to CDF with timestamps at ms, whereas the other tags for which I do not apply any transformation on server side, are coming with timestamp at second. The issue I encounter is when I push the data from CDF to PowerBI and pivot the data and I get 2 rows for the same timestamp which PowerBI is displaying at second, 1 row with values for the tags without transformations and the other with the tags transformed which have timestamp in ms on CDF side. I just don't want to apply another query/transformation step to round the timestamp at second on PowerBI side and on CDF this timestamp rounding should be a scheduled transformation running every minute if not every second. Regards,Raluca

Hi Team,I was looking for any limitations to length or any other limitations for Json data type for properties in the data model but was unable to find it in the documentation.Do we have any limitations? If yes, we would want to know. We are planning to use the json data type in the model to store values for an ongoing project as part of our solution.Thanks,Akash@Aditya Kotiyal 

Hi there,Could you confirm if there is a limit on number of tables allowed within single databaseor is there any limit of tables or database per project ?

Hi,Our project uses Cognite Function scheduling to deploy data to CDF, and we struggle to understand what the “Duration” of a Cognite Function actually represents. I have attached a screenshot showing one of our function calls, printing the duration of various function from our source code. As you see the duration of our source code takes 2+ minutes, but the call of the function itself takes less than 2 minutes (start at 7:40 and end at 7:41). Is there a distinction here between what is actually run in the backend, and overhead in terms of instantiating a call to the Cognite Function? Can anyone explain the apparent deviations? Thanks.  

We are ingesting data through OPCUA extractor into timeseries of Cognite.1) How do we associate the OPCUA datapoint to the asset timeseries through the config.yml?2) What is the recommendation if we are ingesting thousands of OPCUA datapoint which will be associate with individual assets, do we write python to link the asset or it can be perform as part of the extractor?  

I have created 1 workflow , in which I am creating dynamic tasks depending on input, it creates batch of ids and create tasks out of it. Below is workflow definitionWorkflowVersionUpsert(   workflow_external_id="test_dynamic-0729",   version="1",   workflow_definition=WorkflowDefinitionUpsert(       description="This workflow has two steps",       tasks=[           WorkflowTask(                external_id="test_sub_tasks",                parameters=FunctionTaskParameters(                    external_id="test_sub_tasks",                    data="${workflow.input}"                ),                retries=1,                timeout=3600,                depends_on=[],                on_failure = "abortWorkflow",            ),           WorkflowTask(                external_id="test_create_sub",                parameters=DynamicTaskParameters(                    tasks="${test_sub_tasks.output.response.tasks}"                ),                name="Dynamic Task",                description="

Is it possible to increase the limit on execution of workflow instances per project or limit on execution workflow instance itself instead of project ? as we require to schedule workflow, on that it depends how much data we get to run workflows instances, so it can be more than 50  

Hello Currently Maintain workorder has been displayed in infield under work order. My understanding is we plan the activities in maintain and the plan get visible in Infield via work order. What is the relationship between activities in maintain as compared to checklist in infield. I am imaging that once we plan activities in maintain, we should be capable to “convert” the activities into checklist in infield?