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Hi,The user is listed as UNKNOWN when the annotation is done manually from “Data explorer”. This is problematic as we need to be able to track who made the changes.Here is an annotation I added manually:And this is what I see from the API. I am able to identify the creating_app which is data explorer, but I need to know the user as well or at least some way to track which credentials made the change. UNKNOWN is not good enough.I’ve also notices that for our automated annotations this field does not work as expected. These are all made by the same user/credentials, but for some reason the are all different and it looks like the “creating_user” field is mapped to the “job_id” you get when sending a request to the API rather than the user that made the request. I don’t know about others, but we at least need to be able to track which users/credentials created the annotations, which batch job uploaded the annotation is not relevant to us at all.job.7445037198441218job.5162020989972303job.5

We have encountered a scenario where we are unable to continue deploying to our production environment. The deployment fails on the IAM groups which indicate an HTTP Error 400 with a note indicating the Cognite API Failed to bugger the request body. Here is the important parts of the error:  ...Deploying 19 iam.groups(resource_scoped) to CDF...╭──────────────────────────────────────────────────────────────────────────────╮│ Traceback (most recent call last): ││ File ││ "/opt/hostedtoolcache/Python/3.11.11/x64/lib/python3.11/site-packages/cognit ││ e_toolkit/_cdf_tk/commands/deploy.py", line 423, in _update_resources ││ updated = loader.update(resources) ││ ^^^^^^^^^^^^^^^^^^^^^^^^ ││ File ││ "/opt/hosted

I created a small configuration using “cdf modules init for the cdf_process_industry_extension_full” data model and tried to deploy. No changes to the configuration at this point have been made. I do intend to extend the data model.Deploying results with the following error:Deploying 1 spaces to CDF...Deploying 36 containers to CDF...Deploying 36 views to CDF...WARNING [LOW]: Resource(s) already exist(s), skipping creation. ← Note they shouldn’t aready exist???Deploying 1 data models to CDF...  ERROR (ResourceCreationError): Failed to create resource(s). Error: One or more views do not exist: 'Gemini_sp_enterprise_process_industry_full:WorleySB360ImageAnnotation/v1','Gemini_sp_enterprise_process_industry_full:WorleySBAnnotation/v1', ← All three related to Annotation??'Gemini_sp_enterprise_process_industry_full:WorleySBDiagramAnnotation/v1'. | code: 400 | X-Request-ID: 536ccf9d-05cb-932c-b032-2fc57fd77a4f |       cluster: az-eastus-1The API Failed to process some items.Successful (2xx):

I'm trying to run the Cognite DB Extractor via CMD window (as administrator, as local user...) but I get always this error (see log):requests.exceptions.SSLError: HTTPSConnectionPool(host='datamosaix-prod.us.auth0.com', port=443): Max retries exceeded with url: /oauth/token (Caused by SSLError(SSLCertVerificationError(1, '[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1007)')))[1288] Failed to execute script '__main__' due to unhandled exception!I think this is because a proxy server is being used to access the internet from this VM. However, I'm using the same VM as the PI extractor and that is running fine (I had to do some settings in the PiExtractor.exe.config file in the bin folder of PI extractor as documented)I have set the following windows environment variables (This worked on the OPC UA extractor VM):HTTP_PROXYHTTPS_PROXYALL_PROXYI have installed root CA certificate of Proxy (ZSCALER) for local user account, for comp

I want to upload instances using CDF Toolkit. For example, data model I can get dump yaml from existing data model using toolkit like following:cdf dump datamodelI want to get the dump yaml of instances from my existing space and data model which I can use it to later deploy using toolkit to different space or env. I checked the doc here: https://docs.cognite.com/cdf/deploy/cdf_toolkit/references/resource_library#nodesBut creating yaml file manually would be too hard. I have also tried to get dump yaml using python sdk but that dump yaml looks incomplete to be used for deployment.

Can we use a CSV file instead of a Yaml file containing details of the instances we want to populate in a view using CDF toolkit? If yes, is there a limit to it?  Edit:  What I mean to ask is whether we can use a csv file directly to populate a view in a data model, i.e. without using raw and transformations? Just like we can use a node.yaml file to directly deploy an instance in a view.

I figured out how to add a slider to my Chart, but how do I move or delete it?

In order to identify a 3D model and revision both a model ID and revision ID are needed (e.g. for display in Reveal). Looking at the Core Data Model, I can see the revision ID is available in CogniteCADRevision, but I don’t see where the model ID is present (was expecting it in CogniteCADModel). 

I am trying to deploy a function to CDF using the deploy-functions-oidc repo in Github. It works perfectly fine for other functions, but for functions using the “requests” library i get the following error during pre-commit: “Library stubs not installed for requests. Hint: “python3 -m pip install types-requests”. I have included both requests and types-requests in the requirement.txt file. Anyone experienced the same issue?

I want to use node JS express as my back server to get data from cognite refer to theirhttps://developer.cognite.com/sdks/js/for the backend:import { ConfidentialClientApplication } from "@azure/msal-node";import { CogniteClient } from "@cognite/sdk";async function quickstart() {  const pca = new ConfidentialClientApplication({    auth: {        clientId: 'YOUR CLIENT ID',        clientSecret: 'YOUR CLIENT SECRET',        authority: 'INSERT AUTHORITY HERE'    }  });  async function getToken() {    var response = await pca.acquireTokenByClientCredential({        scopes: ['INSERT SCOPE HERE'],        skipCache: true,      });      return response.accessToken;  }  const client = new CogniteClient({    appId: 'Cognite SDK samples',    baseUrl: 'YOUR BASE URL',    project: 'YOUR CDF PROJECT NAME',    getToken: getToken  });  const assets = await client.assets.list();  console.log(assets);}quickstart();What is the authority and how can I find my authority?

Hi, I was wondering if it is possible to update an outdated old 3d model with 360 laser scan images. The original model from when plant was build was corrupted and now we have only parts. I think this would help maintenance enormously, the images are now in faro sphere, which is not the easiest to navigate around

I am trying to setup an asset hierarchy using the Core Data Model as shown in the example:https://docs.cognite.com/cdf/dm/dm_guides/dm_cdm_build_asset_hierarchy/But I am getting some strange errors when I try to implement it. A normal container and view without a refernce to core data model works fines, but when trying to add cdm it fails. I am using the toolkit to deploy the data model.In the “Data management” tab I get this error:{  "title": "",  "message": "Cannot read properties of undefined (reading 'listPump')",  "errors": []}In the “Query explorer” I get these errors:{ "errors": [ { "message": "The field type 'Cognite3DObject' is not present when resolving type 'Pump' [@-1:-1]", "locations": [], "extensions": { "classification": "ValidationError" } }, { "message": "The field type 'CogniteSourceSystem' is not present when resolving type 'Pump' [@-1:-1]", "locations": [], "extensions": { "classification": "ValidationError"

I am using the Hosted Kafka Extractor and need to subscribe to multiple topics with specific filters. To do this, I plan to create multiple jobs under one connection. I have a few questions:What is the maximum number of jobs that can be created in a single connection? How many hosted extractors can be created in a Cognite project? Does the Hosted Kafka Extractor support wildcard characters for topic subscriptions?I checked the Hosted Extractors and Kafka Extractor documentation, but I couldn't find clear limits on job or extractor counts. Also, the Kafka Extractor job seems to subscribe to a single topic at a time, so I'm unsure if wildcards are supported.Could someone clarify these limits and wildcard support?

I have to practice basics of data engineering , but my microsoft authenticator doesnt work for cognite fusion for doing handson activity as my authenticator is on old phone i have new phone now how to get authenticator for cognite fusion portal in new phone.pls reset my MFA

need to reset my MFA as my old phone is damaged

I am looking for clarity in the YAML requirements for limiting the visibility of Datasets in Cognite to specific roles. Like other datasetScope’d objects I’ve added datasetScope to my group definitions but deployments are failing, indicating the following error which itself is not very descriptive to indicate what the offending issue is: raise CogniteAPIError( ││ cognite.client.exceptions.CogniteAPIError: Unknown field name: ││ `datasetScope` at items.capabilities[13].datasetsAcl.scope.? | code: 400 | ││ X-Request-ID: 26ec6765-06b8-9f77-9d95-ab49409fd950  In our group definition we’re trying to limit datasets as follows, and it’s failing:  Adding to difficulty troubleshooting is the pre-build and dry-run deployments of our toolkit CI/CD ran successfully, and it wasn’t until the actual deployment that things broke.   

Hello,I’m having trouble sharing a Jupyter notebook on Cognite. I used the right-click option to copy the shareable link, but when I or others click on the link, we encounter a 404 error like the following: Has anyone else experienced this issue? Also, they can’t find the notebook going to the folder, only myself can see it.Thanks!

I am seeing how to create Templates used to query data, but I have not yet found information related to defining GraphQL mutations.  Do you know where I can find this information?  Thanks! Here are some places I’ve been looking.Docs:Templates | Cognite DocumentationAbout template management | Cognite DocumentationSearch results for "templates" | Cognite DocumentationThe tests in the Python SDK:https://github.com/cognitedata/cognite-sdk-python/blob/master/tests/tests_integration/test_api/test_templates.py There is some info related to GraphQL mutations and Cognite here, but this doesn’t seem related to Cognite’s Template functionality:https://itg.cognite.ai/docs/tutorials/data-ingestion/ingesting-datahttps://github.com/cognitedata/sample-cdf-graphql-angular-app/blob/9641e4967e0a288241ef68b3e94786b56de456c2/src/app/itg-api.service.ts#L125

I have some gaps regarding the Cognite python SDK I hope someone could fill:Is there a way to archive a dataSet with the sdk? When deleting a file now it doesn’t delete the reference so it looks like I still have files in my dataset. (attached picture) how can I delete the references as well? Is there a way to delete a datamodel using the sdk? In the documentation exists:from cognite.client import CogniteClientc = CogniteClient()c.data_modeling.data_models.delete(("mySpace", "myDataModel", "v1"))   It runs but it doesn’t delete the dataModel for me. Please let me know if there is another way. 

Hello,There’s a number of Functions that used to work as expected but now fail to be executed correctly on their set schedules on a CDF project. The .zip files associated with the files are not present. Is there a relation between these functions failing and the absence of the .zip files under the Data Explorer tab?Thanks,Marwan

Hello Team,Is there any utility to convert GraphQL model in CDF to yaml files which can be used in CDF toolkit for deployment.Currently, even after taking dump using SDK, we need to change the format of YAML as per the supported syntax. Thanks,Snehal,

my team has uploaded all the laser scan (360) files, unit wise but some files are having some error I want to check file with file number but in 360 all file name is seen as unknown, how can I find the particular file

I’ve encountered a bit of an interesting issue when converting annotated P&IDs to SVG files using this endpoint from the Python SDK:cognite_client.diagrams.convert(diagram_detect_results)If I send in one file at a time then it works as expected:But if I try to upload convert them at the same time then the annotations switch over for some reason. The annotation mapped to file_1 are shown on file_2 and vice versa. This also scales, but is a lot easier to demonstrate with just two files: I’ve attached the diagram detect results that I send in to the API, and I can’t see any reason why this would happen. This makes parallelization somewhat difficult as we need to convert each file individually to ensure correctness.Attachments:daigram_res.txt contains both files at oncedaigram_res_1.txt and diagram_res_2.txt contains each file as separate entities

Hi,I am encountering the following error while using Streamlit-AgGrid in Cognite’s Streamlit:This link explains the workaround, but I’m not sure how to do the fixing in Cognite.Could anyone help me and is there a specific version of Streamlit or Streamlit-AgGrid I need to use to avoid this problem?Thanks in advance for your assistance! 

The December release added tabs for directly & indirectly linked data. I am having trouble finding documentation that explains the difference between the two.