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Hi all,I am building a solution model on top of  a domain model we already have in place for a project.The domain model contains all the instances we have in the project, but this consumer is only interested in a subset and would like some filters in place to ensure that they are only getting the subset of interest. One of the requirements is that a certain property is according to their project standards and has a minimum length for a property. I see that there is a Range filter to check if a numeric property’s value is within a specified range, but is there any way I can add functionality to get the values length for this property?

This might be a basic question, but I often find myself uncertain about when to use CogniteDescribable in data modeling within Cognite Data Fusion.For example, let's say we have domain tables in our data model, such as MaterialType, which contains data from SAP and defines the types of materials we work with (e.g., code and description). In this case, would it be appropriate to implement CogniteDescribable to reuse common properties like name and description?What are the advantages of doing so? Does using CogniteDescribable provide any specific benefits—such as improved performance through indexing or partitioning—when used it containers?In summary, should I always use CogniteDescribable in these types of scenarios, or are there cases where it's better not to?

I’m using n8n AI agent builder to query CDF via an http request. The body of the request is:The request URL is https://westeurope-1.cognitedata.com/api/v1/projects/essc-sandbox-44/events{ "filter": { "startTime": { "min": 1751070336000, "max": 1751588736000 }, "dataSetIds": [7726848970162689] }, "limit": 1000}CDF seems to recognize the datasetid filter but not other filters like starttime as shown or others like Types. The result set returned is all events in that datasetid.I’ve also tried minstarttime and maxstarttime.ideas?  

Hi,Can someone please help to get access on Canvas.​​​​​​​Canvas Access Issue

i want to take export of one table to another table but facing this datatype error .also tried with multiple datatype (like string , float and Bigint ) still same issue is coming.  

Hello,  We are using: Toolkit Version '0.5.20' We are having a file schedules.Function.yaml: - name: Run every 10 minutes to do some work functionExternalId: fn_name description: Run every 10 minutes to do some work cronExpression: "*/10 * * * *" data: extractionPipeline: "test"When deploying we have this error trace: Traceback (most recent call last): File "venv/bin/cdf-tk", line 8, in <module> sys.exit(app()) File "venv/lib/python3.10/site-packages/cognite_toolkit/_cdf.py", line 116, in app _app() File "venv/lib/python3.10/site-packages/typer/main.py", line 340, in __call__ raise e File "venv/lib/python3.10/site-packages/typer/main.py", line 323, in __call__ return get_command(self)(*args, **kwargs) File "venv/lib/python3.10/site-packages/click/core.py", line 1161, in __call__ return self.main(*args, **kwargs) File "venv/lib/python3.10/site-packages/typer/core.py", line 740, in main return _main( File "venv/lib/python3.10/site-packages/typer/core

Hi Team, I’m getting this error when I try to run the below query from this class Could you please support on that?

Hi,We have uploaded a 3D .nwd model using the Fusion UI and noticed that the underlying processed 3D files (e.g., .glb, .reveal, .zip) are stored as file resources and are visible in the Data Explorer under the Files resource type.I couldn’t find any documentation or guideline on how to assign security categories to hide or restrict access to these files for end users. I also tried using dataset-based access control, but I’m looking for a better or recommended way to handle this.Appreciate your guidance or suggestions.

The python extractor utils requires the config to be stored as a local file there is not way to pass it directly as a string/yaml object. This makes it quite cumbersome to use as not all our deployments have access to local file storage for config files.Is there a way to add support for the config to be passed as an environment variable? Reading config from env example:  

I am getting following error when ingesting files from SharePoint site to CDF. send_request_body.failed exception=LocalProtocolError('Too much data for declared Content-Length')Anything I need to specify in .yaml file to allow content-length? Also how do I trace which file is causing the problem. I changed Logger to DEBUG level but still don’t see the file name info.Thanks,Zuber

Hello, We envision to implement a versioning based on minor and major version of our data models. So a data model version will be presented with two digits: <Major>.<Minor><Major>: incremented when we do a breaking change that is not backward compatible with the previous one and we know that it will break our consumers queries. Exp: delete an attribute in a view in the data model<Minor>: incremented when we do a change that is backward compatible and consumer queries will not break. Exp: add a new field. Is there a way to get a graphql url that maps always to the latest minor version of a given data model? This will avoid our data model consumers to redeploy their application every time we increment our minor version.  Thank you!

Hi Community,I am using a toolkit and I am doing some transformation from RAW to the Data Model. From the Documentation Online, I only see example on how to apply the toolkit transformation to legacy tables (assets, events, timeseries,etc)This is sample of transformation format for toolkit:  Anyone know what is the configuration if we want to transform to Data Model? How to apply the space name and external id? Thank you.

I took the Cognite Data Fusion Fundamentals but it is not coming up under badges on my profile. This is from academy:  

I am locked out of MFA on my Microsoft Authenticator app. How can I reset this? 

Hi, can this feature be added to my company projects?Henrik

Hi Hub, We have some backend code running as a Github Action that fetches events using `clients.events.list` over a period of 1 year. The fetching is of course chunked into smaller time frames to avoid memory overload. This has worked just fine until recently where we are frequently encountering aCogniteReadTimeouterror, which can be traced back to the following HTTP request error:requests.exceptions.ReadTimeout: HTTPSConnectionPool(host='az-ams-sp-002.cognitedata.com', port=443): Read timed out. (read timeout=30)The error occurs inconsistently and not necessarily at the same point in time of the workflow run. Have there been any recent changes/restrictions in the Cognite SDK that could explain the cause of the issue? As mentioned, some weeks ago the workflow succeeded without problems. For additional context, we are using multiple threads to fetch events in parallel over metadata, for events within same time interval. Also, we use multiple cores to parallelize fetching and subsequent

I need to create an Industrial Canvas with several charts that will refresh when new data comes in, or maybe refresh once a day with the previuos day data.

We are trying to implement automatic monitoring over our transformations in CDF. We are doing this by running a transformation and a monitoring function in the same workflow, where the monitoring function is dependent on the transformation being finished.Then we retrieve the sum of updated and created events like this: def _created_and_updated_sum(self, transformation_external_id: str) -> int: """ Get the sum of the number of created and updated events in the last transformation job. If there are no finished jobs, return 0 instead. """ transformation = self.cdf_client.transformations.retrieve( external_id = transformation_external_id, ) if transformation is None: raise ValueError(f"Transformation {transformation_external_id} not found") if transformation.last_finished_job is None: DUMMY = 0 self.logger.info(f"Transformation {transformation_external_id} has no finished jobs.

Hi,I want to let users be able to read/write to a company Sharepoint site via Streamlit in CDF. I am developing locally using Github actions to deploy to CDF. Locally I can acquire tokens using client secret and interactive flow, but both fail in CDF. Client secret using request.post to login.microsoft.com(...) throws with JsException: NetworkError: Failed to execute 'send' on 'XMLHttpRequest': Failed to load 'https://login.microsoftonline.com/xxxxxx-xxx-xxx-xxxxxx/oauth2/v2.0/token'.Using msal with PublicClientApplication throws withOSError: [Errno 138] Not supportedAm I trying to do something that I just cant do in the browser in CDF and need to start writing an API for this, or is there a workaround?Thanks in advance!

Hi Community,I am havng an issue where I tried to use the Cognite-Extractor-Manager (cogex) for custom extractor development.I just install and create new project using cogex init. When i tried to run using "poetry run test_extractor", it returned below error:  Also having another error when executing the "cogex build” command: Anyone having the same issue?Tools:python == 3.11.9cognite-extractor-manager == 2.0.0

Hi.Upon doing either a deploy or a dry-run deploy, the summary displayed by toolkit includes quite a few resources that have not changed. Like in this example, where the only thing I changed was a the handler-file for a cognite function:┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━┳━━━━━━━━┳━━━━━━━┓┃ ┃ Would ┃ Would ┃ Would ┃ ┃ ┃┃ ┃ have ┃ have ┃ have ┃ ┃ ┃┃ Resource ┃ Created ┃ Delet… ┃ Changed ┃ Untou… ┃ Total ┃┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━╇━━━━━━━━╇━━━━━━━┩[...]│ function schedules │ 0 │ 0 │ 0 │ 2 │ 2 ││ functions │ 1 │ 1 │ 0 │ 1 │ 2 ││ raw tables │ 1 │ 0 │ 0 │ 37 │ 38 ││ resource-scoped groups │ 16 │ 16 │ 0 │ 12 │ 28 ││ transformations │

Hi,I'm developing a Streamlit app using the standard Streamlit library. However, I’ve noticed that the app behaves differently on my local machine compared to its deployment in CDF, likely due to additional configurations or dependencies used in CDF.Could someone guide me on how to replicate the CDF environment locally to ensure consistent behavior?Thanks

Is there a limit on the number of characters for String data that can be stored in a Timeseries?I would like to manage a JSON file that defines the configuration values of a certain system in CDF. Since the JSON file will be changed frequently and I also want to check the historical configuration records, I am considering defining it as a string timeseries and storing the JSON string in data point.However, if there is a character limit, it would restrict the size of the JSON string that can be stored, so I would like to confirm the specifications. As far as I have searched, there is no mention of this in the documentation.

Hello people,I’m testing CDM and I want to extend a current model type, I may do it wrong, but my idea is. I’m creating a new type called MyModel, that will be pretty much and CogniteActivity + new fields.But I don’t know what I’m doing wrong.type MyModel @import ( dataModel: { externalId: "CogniteActivity", space: "cdf_cdm", version: "v1" } ){ FieldA: String, FieldB: String}I got some guidance from this link https://docs.cognite.com/cdf/dm/dm_guides/dm_extending_core_data_modelWhen I try to save, I got this error{   "title": "Error: could not update data model",   "message": "An error has occured. Data model was not published.",   "extra": "[Line: 40] Data model 'DataModelRef(space=cdf_cdm, externalId=CogniteActivity, version=v1)' cannot be found" }Thanks in advance

On behalf of CelaneseHi.I would like to report a potential issue with cursor-based pagination when sorting in descending order and request clarification on the undocumented forceCursorsDespitePerformanceHazard flag.We are executing a query against the view OEEEvent, which is defined with a cursorable BTREE index on the startDateTime property, as shown in the simplified schema below: type OEEEvent@container(  indexes: [    {      fields: ["startDateTime"]      identifier: "idx_oeev_startDateTime"      indexType: BTREE      cursorable: true    }  ]) {  startDateTime: Timestamp  endDateTime: Timestamp  totalDuration: Float} We are querying with the following time range filter: "startDateTime": {  "gte": "2024-12-31T00:00:00.000-03:00",  "lt":  "2025-05-01T00:00:00.000-03:00"} The result set includes 840 records.When applying a page size of 500 and using the following ascending sort configuration: {  "property": [    "INO-COR-ALL-DML",    "OEEEvent/472bdbcb9cd6f1",    "startDateTime"  ],