Product User Community

I type in a comment in the comments pane and there is no way to submit the comment. I press enter and nothing happens. There is no button to submit. When I close the comments pane and reopen, the comment text has been deleted. Am I missing something?

Data Explorer (all resources tab) inconsistencies. Login to CDF Navigate to Data Explorer screen. Search the Asset name e.g: 'Inlet separator' in search field. Click on the All-Resource tab to open. Expected Results: All resources screen data should be relevant to the Asset which user searched in search tab.Observed Results: All resources page does not point to relevant relationships – better to focus on direct linkages.

Hyperlink in CDF is not navigate to right screen for the provided hyperlink. User will navigate to CDF by default screen not the intended hyper linke.g: https://oq.fusion.cognite.com/oq-test/explore/search/timeSeries?cluster=westeurope-1.cognitedata.com&env=westeurope-1&journey=timeSeries-114626196540160&q=separator  

The number of assets shown as linked to the file is not correct. The system is wrongly showing the number of assets linked in the file.And also Linked Asset to an asset count is wrong and same issue for linked files, linked time series, Linked events. These linked is different than directly linked items. (A) Linked (Files): this count means all decedent children of a given asset. (B) Directly linked (files): this count is the number of files that are connected directly to the asset. (C) The file count on top: This count may vary since there might be duplicated IDs amongst the different types - the total number is a distinct value. The linked assets are not relevant to the Asset which user try to refer and these Linked assets will not linked to the Asset.Directly linked assets are linked to the assets which user try to refer.User don't want to see linked asset tab in CDF because its doesn't have a meaningful assets linked to it, however Directly linked asset have meaningful tab and same

CDF - Filter option is not working as expected under common filters at Data Explorer screen. Login to CDF Click on Data Explorer tab in CDF menu bar. Click on Files tab in right side of the panel. Set Data set as 'src:006:documentum:b60:ds under Common filters in left side of the screen. Select the check box ‘Before’ under common filters in left side of the penal. Click on the Calendar icon and set data as (e.g.) '10-01-2023' Expected results: Document ‘Amarjeet_Test_DT.docx’ should not display in results window because its created after the set date.Actual results: Document Amarjeet_Test_DT.docx is displaying in CDFNote Issue exists for all Date filters like Created time, updated time with Before, After, During in CDF, user want to know what date is used for filtering the documents in CDF with these filters.

Is the following use case a good fit for Data Workflows?Cognite Function that is reading data from Time Series and writing "event-like" data into Data Modeling continuous processing for metric type A ideally an execution every minute, but more importantly no overlapping executions (i.e., if execution takes longer than a minute) passing state from one to another function execution hourly processing for metrics type B Idea:2 Data workflows:Hourly execution of trigger Cognite Function to calculate metric B Daily execution of a workflow that triggers Cognite Function that recursively outputs a dynamic task, which calculates metric A. The Function outputs information for the next execution run (i.e., timestamp for next execution, state, and other info). At the end of the day the dynamic task would not output a timestamp for the next execution and workflow would complete. The execution trigger could also be daily.

Hello, When I tried to run the DBExtractor, I get the following error: “polars\_cpu_check.py:232: RuntimeWarning: Missing required CPU features.The following required CPU features were not detected:    avx, avx2, fmaContinuing to use this version of Polars on this processor will likely result in a crash.Install the `polars-lts-cpu` package instead of `polars` to run Polars with better compatibility.Hint: If you are on an Apple ARM machine (e.g. M1) this is likely due to running Python under Rosetta.It is recommended to install a native version of Python that does not run under Rosetta x86-64 emulation.If you believe this warning to be a false positive, you can set the `POLARS_SKIP_CPU_CHECK` environment variable to bypass this check.”After doing some googling, I was able to install the polars-lts-cpu package referenced using python, but I got the same error. I’m not sure how to make the extractor reference the polars-lts-cpu package when it runs. See attached screenshot.The extractor i

Hello,I have to import FDM data into Power BI. There’s a field I need from a table that’s in the edge of a relationship with another table. As you can see in the image below: In order to import the data, I just expanded the field.But when I apply the changes I get the fallowing error:  Is there another way of importing this data?  Thanks,Pablo

I am creating a transformation where I am joining data from two different views/containers, where table B has a node reference to table A. I have tried to find documentation for this, but I have not found any so far.  Through friends and trial and error I have found two options, and neither seems to be performing well. Example:Type A {    Name: String}Type B{   Name: String   A_ref: A}What I have found as possible solutions are to go through cdf_data_models and picking the externalId from the node-reference:from cdf_data models(<spc>, <mod>,<ver>, “A”) as A join cdf_… as B on A.external_id = B.A_ref.externalIdSame as above, but join on a as a nodereference: on B.A_ref = node_reference(<spc>, A)   Neither of these options seems to be documented anywhere, and I can’t find any other ways documented. The performance when reading when using these joins seems slow, even though I have set up a few indexes which should cover the different joins. This is also slower then

We are a bit unclear on the difference in meaning between the "Uploaded at" vs. "Last Updated"  times for Files in CDF.For example, we have seen un-intuitive examples where the "Uploaded at" time is newer than the "Last Updated" time - we would expect that would never be the case.Can you define the logic for these two fields, and update the documentation here? https://cognite-sdk-python.readthedocs-hosted.com/en/latest/files.html#module-cognite.client.data_classes.filesThank you.

Hello everyone, I’m facing a difficulty, and perhaps someone has already encountered this… I’m using the SDK to extract data using Python, but I’m having trouble finding the information I need. To access the data, I go to ‘Data Management,’ ‘Explore,’ ‘Data Models.’ I select a Data Model, click on ‘Data Management,’ and on the left side of Data Management, I need data from three tables (which I believe are views) that appear below the Filter. When I try to use cognite_client.data_modeling.view.list(), I can’t select one of these specific views; I can only filter parts of them, not the entire view. Does anyone have any guidance or tips on how to select the entire ‘table’ that appears in Data Management?

Hi Team, I work with Celanese and we are trying to work on creating Power BI dashboards for streaming Data (Timeseries).  I am following below solution for doing the same. Streaming data from Cognite Data Fusion to Power BI [Cognite Official]I am facing same “timeout” error while creating Subscriptions. I am using below code. my_filter = f.Prefix(    property=p.external_id,    value="EVE")sub = DataPointSubscriptionCreate(    external_id="powerbi-subscription-test",    name="PowerBI Subscription Test",    description="Subscription for PowerBI",    partition_count=1,    filter=my_filter)client.time_series.subscriptions.create(sub)

 I am simplifying my query.How can I upload a Python library that I have modified to support a function I am deploying to CDF?********************************************************************************** I am receiving the below error when executing a function I have created in cdf.  If I am understanding the error correctly the suod library is attempting to write to a read-only directory.  I have not found the suod library to allow for setting an alternate path.   I did locate the dump command in the cost_predictor.py file, in which I placed commands to write in the /tmp directory.  However, I could use some guidance on how to get the altered suod library loaded into cdf with my function?  I have attached both the original and updated cost_predictor.py files with code to redirect the dump to the system temp directory and would appreciate any guidance on whether I am on the right path here or not.  Thanks in advance! Error text:2024-05-16 04:15 Function started2024-05-16 04:15 : T

How does Cognite handle data encryption at rest? Is there any documentation available regarding this requirement? Additionally, concerning data encryption in transit, are there alternative approaches to TLS or MTLS?

Hi! We are developing a monitoring solution that depend on deployed Cognite Functions running our Python backend. What is the exact environment for a Cognite Function? How is the container configured? We would like to test our backend code in a runtime environment as close as possible to the deployed environment. Currently we build a docker image and execute our tests within the image based on “FROM python:3.11-slim”, and install all our dependencies here. How can we configure the environment to be as similar as possible to a Cognite Function? Is there a publicly available image we can base our container on that would ensure a more similar environment? Or is our current method “good enough”? All help appreciated!Anders

HI:How can I configure that a user has access to only a specific dataset?

HiThere are some bugs when doing contextualization in the fusion GUI. It should be possible to “select all” when i do a search query in the interactive engineering diagrams contextualization workflow. 

Hello!I tried to setup a simple cogex extractor, but get an error that is not letting me proceed following the course. Please help.SyntaxWarning: invalid escape sequence '\e' """csv_extractor_2/__main__.py:13: error: Argument "run_handle" to "Extractor" hasincompatible type"Callable[[CogniteClient, AbstractStateStore, Config, Event], None]"; expected"Callable[[CogniteClient, AbstractStateStore, Config, CancellationToken], None] | None" [arg-type] run_handle=run_extractor, ^~~~~~~~~~~~~Found 1 error in 1 file (checked 4 source files) 

I'm experiencing significant delays while using the menu bar on Cognite Notebooks. Specifically, when I try to reopen menus like "File," "Edit," and "View," they take an unusually long time to respond. Additionally, I have a folder named "Notebooks" with several subfolders, and it takes a long time for all the subfolders to display when I try to access them.Has anyone else encountered similar issues? Is there any way to solve these problems?Thanks!

Display events in Cognite Charts which does not have End time.Presently Events does not have End time will not display in Cognite Charts if user try to customize Timeseries for specific duration.Not showing the failures linked to the asset in Charts CDF view, not consistent with the linked failures in Data Explorer. Login to CDF UI Navigate to Data Explorer screen. Click on the Charts tab in menu bar Click on New Chart button. Search Time series name for e.g: FQI02005_M.TOTALIZERA.PV Click on the Time series button below the search field Select the check box of the time series FQI02005_M.TOTALIZERA.PV Click on the Events button on right side of the penal Click on Add Filter button Select the Asset ‘02-V-0203’ from Asset filter. Check Events under the Types filter. Expected Results: User should be able to see & select Events like ‘Failure’, Workorder', ‘MTBE’ etc events for Asset id 02-V-0203Actual Results: Alarm & Failure events not listed under types filter

Create assignment list of Assignees with Discipline Area while assigning checklist to user.

Doing the ‘hands-on’ for Data Engineer Basics - “Learn to Use the Cognite Python SDK “ Course."I am down to adding events to CDF from  events.csv.I noted that the dataframe df has some entries :NaN” wherever the csv has a blank.Then,However, creating events in CDF fails:the error is: Next, I replace all the csv blank entries with text “blank”, and read into a dataframe. Now the latter does not have any “NaN” values. This throws the same exception when creating events in CDF.If someone can kindly assist, I would be very grateful.Thank you,Doug   

Hi All.I want to deploy multiple PI Extractors on a VM with different configurations and the possibility to start and stop them separately. How can I achieve that? Or do I need to have multiple VMs? Thanks a lot in advance!

How can you with the opc-ua extractor read from the server only some specific tags with some parameter in the YML configuration file?So far with this extractor all tags are sent to CDF.

On behalf of Celanese, I’d like to understand if adding more than one Security Category to a single file or timeseries is supported by the CDF platform and APIs. Also, can it be confirmed that if a certain file is under two categories, only users that are capable of seeing both categories will be able to see it? Thanks!