Unanswered questions

I used to run this version to upload simulator connector, model and routines, but it is not working anymorehere is the error I pydantic_core._pydantic_core.ValidationError: 3 validation errors for PagedResponse[GroupResponse]items.324.capabilities.6.acl.scope.scope_nameInput should be 'all' [type=literal_error, input_value='agentExternalIdScope', input_type=str]For further information visit https://errors.pydantic.dev/2.13/v/literal_erroritems.526.capabilities.6.acl.scope.scope_nameInput should be 'all' [type=literal_error, input_value='agentExternalIdScope', input_type=str]For further information visit https://errors.pydantic.dev/2.13/v/literal_erroritems.639.capabilities.6.acl.scope.scope_nameInput should be 'all' [type=literal_error, input_value='agentExternalIdScope', input_type=str]For further information visit https://errors.pydantic.dev/2.13/v/literal_error

Team, I am trying to schedule math functions, specifically addition of 4 tags and averaging of 4 tags.These need to run specifically at 10:05am as these are totals that are reported once a day, at approximately 10am EST.How can this be done and make these values available for use in Grafana? Thanks for helping!

Hello,I am running a function ‘dq_validate_model_integrity’ and ‘dq_validate_broken_references’ which give a 403 unauthorized error for a timeseries intermittently. There has been no change in access or data yet its failing sometimes with a 403 error.Could you please let us know why this issue is coming up frequently?PS: I have attached the screenshots of the passed and failed statuses of both functions with the timestamp as well as the logs of both failed functions. Do let me know if there’s any more information required from my end. Thanks alot :)

I am new to extending CogniteCore data model to further extend. How to Import CogniteCore datamodel to further extend in a new datamodel space. 

Hello,  Since function deployment using cdf tk is asynchronous, function can fail without any error feedback and stay in failing state until next deployment..Any recommendation to avoid this?Thanks  

KepServerEx 6.10 OPC UA Configuration Manager : KepServerEx 6.10 OPC UA Node ID :config.yml :source:    endpoint-url: opc.tcp://127.0.0.1:49320      #This is your OPC UA server url    auto-accept: true    queue-length: 10    username:     password:     browse-chunk: 1000    attributes-chunk: 1000    x509-certificate:            browse-throttling:        max-node-parallelism: 10   extraction:    id-prefix:     # Delay in ms between each push of data points to targets    # Alternatively, use N[timeunit] where timeunit is w, d, h, m, s or ms.    data-push-delay: 5000        # Source node in the OPC-UA server. Leave empty to use the top level Objects node.    # If root-nodes is set, this is added to the list of root nodes.    root-node:        # Full name of the namespace of the root node.        namespace-uri: "Simulation"        # Id of the root node, on the form "i=123" or "s=stringid" etc.        node-id: "s=Simulation"            # List of proto-node-ids similar to root-node.    # The

Hello, Currently using cdf-tk version 0.5.111. The bySpace param on btree indexes is not yet supported in this version.We are trying to migrate to version 0.7.220. Although, this version sets correctly the bySpace param on indexes it does not seem to resolve correctly the view dependencies in our data model.Error trace:  Deploying 375 views to CDF...WARNING [MEDIUM]: Found a strongly interdependent set of 75 views: sp_dm_dap_knowledge_graph:BHAComponent(version=4.3), sp_dm_dap_knowledge_graph:BHARun(version=4.3), (...)sp_dm_dap_knowledge_graph:WellPath(version=4.3), sp_dm_dap_knowledge_graph:Wellbore(version=4.3) and sp_dm_dap_knowledge_graph:WellboreSection(version=4.3). This might indicate a data model design issue, and the deployment might fail due to API batch size limits.Traceback (most recent call last):  File "pypoetry/virtualenvs/drillx-dwdap-cdf-toolkit-fxS2v_xU-py3.13/bin/cdf-tk", line 8, in <module>    sys.exit(app())             ~~~^^  File "pypoetry/virtualenvs/drill

I am not able to login/access CDF workspace in the last few days using my work email id which I used for registering. I am able to access the Cognite courses though. I was able to access workspace during early days of last week.PFB error message I received during my attempt to workspace accessAADSTS90072: User account 'sivaramat@virtusa.com' from identity provider 'https://sts.windows.net/0d85160c-5899-44ca-acc8-db1501b993b6/' does not exist in tenant 'Cognite Hub' and cannot access the application '9f039f43-cd64-4d32-abc1-333ca411e5f9'(Cognite Data Fusion) in that tenant. The account needs to be added as an external user in the tenant first. Sign out and sign in again with a different Azure Active Directory user account.

 Does anyone know if there is any training available in China, either onsite or online?

cdf version is 0.7.236.i cannot find the same quickstart mentioned in the training material. below is the screenshot from my environment.   the instruction mentions two times about “would you like to make changes to the selection”. the action is inconsistent.  The second question should be updated to be the real one.  

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? 

Hi team,I’m unable to launch or use the Jupyter Notebook environment on the Cognite Data Fusion (CDF) platform. The notebook either fails to start, gets stuck while loading, or does not open at all. I have tried refreshing, restarting the session, and switching browsers, but the issue persists.  Please let me know if there are steps I can take to solve this issue.Best Regards

We have requirement to update capabilities in existing groups in CDF using Python SDK/API, we can add capabilities while creating group using python SDK, but if we want to updated that created group no provision for that. we tried client.iam.groups.create(group) but it creates new group with same name, in this case how we can update capabilities in group?

I am not able to login/access CDF workspace in the last few days using my work email id which I used for registering. I am able to access the Cognite courses though. I was able to access workspace during early days of last week.PFB error message I received during my attempt to workspace accessAADSTS90072: User account 'sivaramat@virtusa.com' from identity provider 'https://sts.windows.net/0d85160c-5899-44ca-acc8-db1501b993b6/' does not exist in tenant 'Cognite Hub' and cannot access the application '9f039f43-cd64-4d32-abc1-333ca411e5f9'(Cognite Data Fusion) in that tenant. The account needs to be added as an external user in the tenant first. Sign out and sign in again with a different Azure Active Directory user account.

 A customer had a Streamlit app that it previously worked without any problems, but it started failing recently.     I believe that after a recent update—likely related to the Cognite libraries—the app stopped working and now throws the following error: ImportError: cannot import name 'NoExtraItems' from 'typing_extensions'(/lib/python3.12/site-packages/typing_extensions.py)Traceback:File "streamlit/runtime/scriptrunner/exec_code.py", line 88, in exec_func_with_error_handlingFile "streamlit/runtime/scriptrunner/script_runner.py", line 588, in code_to_execFile "/home/pyodide/mainv3.py", line 7, in <module>from cognite.pygen import generate_sdk_notebookFile "/lib/python3.12/site-packages/cognite/pygen/__init__.py", line 6, in <module>from ._generator import generate_sdk, generate_sdk_notebookFile "/lib/python3.12/site-packages/cognite/pygen/_generator.py", line 19, in <module>from cognite.pygen._core.generators import SDKGeneratorFile "/lib/python3.12/site-packages/cogn

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

Hello experts,I'm interested in the following function: the sum of all data points in a time series server-side.I know there are aggregation operations for a specific time interval, but I'm looking for either a cumulative or total sum.I'd like to be able to perform this operation on either a standard time series or a synthetic time series, but unfortunately, I haven't found what I'm looking for yet.Please see below for the operations I am performing; I would like a discrete summation between the multiplication and the output.Does anyone have a server-side solution? Regards,Pierre Rambourg

We have a Cognite Function in which we are retrieving rows from staging tables using below sdk commandclient.raw.rows.retrieve_dataframe(db_name, tbl_name, limit=-1)The problem we are facing is the above command returns an empty Dataframe (0 columns, 0 rows) even though the table exists with data. The code execution does not fail but returns an empty Dataframe.When I manually/locally run the above command on the same database and tables, I get the required data.However, when running inside a CDF function it returns a Dataframe with shape (0,0) 

I have a data model in CDF (for sales/demo purposes) that is in SpaceA and i populate with data in “CustomerASpace”, “CustomerBSpace” etc.I’ve used this approach for only 1 customer and has worked well. (used “cornprocessing” space)Today I populated data (new assets/timeseries) assigned to a different space (ketchupspace).I use a custom streamlit app to ingest CSVs and write to the pre-existing model.The new entities can be seen in both the streamlit app and the data model UI directly. However these new entities do not show in Search using a new Location pointed to the data model and “ketchup” space. If I switch the location in Search to the previous/1st location, it works fine.Any ideas are appreciated. If this is not clear and you need more info, let me know.Chris

Hi,So I am following the course - Learn to use the Cognite Python SDK. In the course, I need to create a data set but when I login to ‘ds-basics’ project, the option to create data set is disabled. Can I get help on enabling this option?