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Hi Cognite team,I understand that Atlas AI is not available in the PublicData project and is primarily for enterprise tenants.I’d like to explore whether there is any possibility of getting sandbox access, a developer trial, or demo environment where I can experiment with Atlas AI using example data.Could you please let me know if there are options for developers or small teams to try Atlas AI in a non-enterprise context?Thanks a lot!

Hi All… Curious if anyone has any experience creating a custom data model using NEAT and then loading that data model using the Cognite Toolkit?  What would the flow look like to make this happen? Thanks!Wayne

Hi,First of all, where can we get the OID Project public data API documentation, and what are the parameters we need to pass to fetch the data?My aim is to use OID public data to access any asset — for example, a pump set — and display its data and health status on a dashboard. The dashboard will be built using React, and for the backend we can use FastAPI with the Cognite SDK.

I am following the hands on training and it asks me to go to ‘Document Parsing New’ section but I get an access error. who should I contact to get me the appropriate access? 

Hi Team,Currently I am going through the  “Data Engineer Basics - Integrate- PostgreSQL Gateway” training. Before this starting there is prerequisites setup to be completed, for that the link is provided but the link is broken. Its not working.Find the ref below -   

Hi When testing some new functionality in a Cognite Function I got this error message: “The size of the data field is too large.”The data input was from the output of another function ran previously in a workflow.I am looking through the documentation to find what the limits are, but can not find anything.For my use case I can decrease the input size and run more batches, but it would be good to know what the size limits are for input data into Cognite Functions. Also, are there any other size limits I should be aware of?Thank you!Sebastian

“I’m using cognite/opcua-extractor-net as container.Is there a docker image version for linux/arm64 platform available ? (not present on docker hub)”

hi guys,  can you please tell me the reason of the error below while API testing in Postman:any help is very much appreciated 

Hello I had one question not directly related to Neat. On Neat website we have mentioned the Data Modelling Principles. One of the principle says:“All data models are kept in its own SpaceThis follows from the principle of parsimonious model. By keeping each data model in its own Space, it is clear which concepts are part of the data model and which are not. It also makes it easier to manage access control, which should be with the team that owns the data model. In addition, this enables establishing a clear portfolio of data products an organization owns.”Now the question - We have spaces created per teams and we put all the models related to a team in that single space. So basically we are having more than one models in single space.Just wanted to confirm whether this follows the principle or its against principle ?The text above in principle is slightly ambiguous to us and hence this question.

Hello,I am testing streams and records in one of our projects, but I am getting “The user does not have any ILA streams capabilities.” error.I am also not able to add the capabilities for Streams and Records to my user group as I cannot see them in the capability type list 

If I want to establish a relationship between a specific data model (not the core or enterprise model) and assets like a "function location," Do I  necessarily need to bring all the views from the core or enterprise models into your domain data model?The goal is not to extend the core model but to create a reference from my domain data model to the asset, possibly using node_reference.For instance, if I have an inventory and want to relate materials to a local storage (which is represented as an asset in the enterprise data model), could I define a property in my domain model that references the enterprise asset.Example:graphqltype StorageLocation { location: String plant: CogniteAsset # Reference to the asset in the enterprise model } In this case, I am just creating a link between my domain model and the asset without needing to extend the enterprise model or bring its full view into my domain model , works? 

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?

I have the following question regarding Containers,  Spaces and Instances. Let's say I have a Container named Well in the space A and all its instances are created in space B. When I delete container Well in space A and recreate it (because I want to change a column name for example): Does instance in space B are deleted as well? If they are not deleted, If I rerun the transformation to populate the new container again in space B with the new schema (same external_id) what state should I expect my instances to be in ? A merge of old and new schema? What is the best practice ? To delete container in its space and its instances in all spaces also? Thank you!  

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

Hello, We are considering storing a relational database table with more than 100 columns as Records.Since the maximum number of properties per container is 100, we need to define a single table across two or more containers.In this case, I would like to know how to write a query that allows us to freely filter records that have properties defined across multiple containers.Our goal is to query the Records data in a way similar to executing SQL on the original RDB table with over 100 columns.Based on my testing, the behavior was as follows, which is not what I intended:When using only properties from container A in the filter or sort: only records of properties from container A are retrieved. When using properties from both container A and container B in the filter or sort: an empty JSONL is returned.If this cannot be resolved with a single query, I would appreciate advice on what kind of post-processing could help achieve the desired result.

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 all,I have a question regarding the use of nested attributes from linked objects when defining indexes.In my model, I have an object Cement that has a direct link to another object called ScenarioContent.I would like to use the attribute ScenarioContent.Type as part of the index on the Cement object.This is particularly useful, because I use views that filter Cement instances based on ScenarioContent.Type. For example, to expose only planned scenarios, I use the following rawFilter in a view:@view(  rawFilter: {    nested: {      scope: ["Cement", "ScenarioContent"]      filter: {        equals: {          property: ["ScenarioContent", "Type"]          value: "PLANNED"        }      }    }  }) Question:Can I use this nested attribute (ScenarioContent.Type) in the index definition of Cement?If this is not currently supported, is there a recommended alternative to support performant queries on this kind of filter?