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Hi there,I know there’s a lot happening in NEAT right now, and we're doing our best to keep up with the changes and learn from all the improvements. That said, I have a question regarding the documentation.The docs refer to core_data_model, which doesn’t seem to exist. Should we be using the example to load the core data model instead?For example, the documentation shows:neat.read.cdf.core_data_model( ["CogniteAsset", "CogniteEquipment", "CogniteTimeSeries", "CogniteActivity", "CogniteDescribable"])But in our case, we’re currently using:#extend the core data model through examplesneat.read.examples.core_data_model()neat.subset.data_model(["CogniteAsset", "CogniteEquipment", "CogniteTimeSeries", "CogniteActivity"]) 

How can we configure the OPCUA data node (in string) as event in Cognite instead of timeseries (by default)?P.S. The existing OPCUA Server does not support to configure it as Event.

I am trying to use the CogniteSdk in c# to build my FDM model node and egde. I able to insert the node accordingly but having issue when trying to define the edge. As you can see below , to create an edge, it require the "Type" to be define. There is no error but when i check my UserDashboard model, it cannot link to my DashboardItem. Anyone know how we can insert Edge using C# SDK? FDM:type UserDashboard @view(version: "c3020ef716088a") { userId: String! createdDateTime: Timestamp lastUpdateDatetime: Timestamp dashboard: [DashboardItem]}type DashboardItem @view(version: "62c414860c7734") { userId: String! index: Int! id: Int!} UserDashboard DashboardItem 

so in the Learn to Use the Cognite Python SDK  in the data engineer course , I got stuck on the hands on test.as   in the readme file after I created a dataset and a root assets I just do not know how can I  do this section : - Read the `all_countries.csv` file as a dataframe and list all the unique regions in the world.- For each geographical region, create a corresponding CDF asset that is under the "global" root asset and is associated with the "world_info" data set.- Next, create country-level assets using the data from the CSV and link them to their corresponding region-level assets. 

Hello Team,I am trying to check like how many edges(entities in my case) are null in the view(event) is there any specific way to do so? I am trying right now sdk query api like below, but not working. Please give your insights. {    "with": {        "Event": {            "nodes": {                "filter": {                    "hasData": [                        {                            "type": "view",                            "space": "slb-pdm-dm-governed",                            "externalId": "Event",                            "version": "1_7"                        }                    ]                },                "chain_to": "destination",                "direction": "outwards"            },            "limit": 10000        },        "Event_2_entities.Entity": {            "edges": {                "from": "Event",                "direction": "outwards",                "filter": {                    "and": [                        {                            "equ

When I am trying to runcdf deployorcdf deploy --dry-run In both cases I am getting this errorERROR (AuthorizationError): Don't have correct access rights to clean spaces.Missing:DataModelsAcl(actions=[<DataModelsAcl Action.Read: 'READ'>], scope=AllScope())Please click here to visit the documentation and ensure that you have setupauthentication for the CDF toolkit correctlyPlease note that I am using toolkit in azure devops pipeline so its CLI and I dont see any documentation link there as mentioned in the error. What are required access for deploy (with or without dry run)?

In CDF, does “Domain Data model” provided out of the box by the product or it needs to be configured? My understanding is, source data is firstly staged on staging/raw layer, then mapped to “domain data model” and then each customer can derive “Solution data model” out of “Domain data model”. Most probably “Domain data model” should be 3NF. Can someone validate my understanding please.

Hi.We’re administering CDF deployments from Github using github actions and Cognite toolkit.I’m setting up a github action to automatically perform a dry-run for a pull request to main, and post the dry-run output as a comment on the PR to assist the reviewer.I’d preferably like to use a client with read-only access to CDF for this, but it seems cdf-tk requires full write access even for dry runs - is that so? Performing a dry-run locally with read-only credentials results in:ERROR (AuthorizationError): Don't have correct access rights to deploy iam.groups(all_scoped). Missing:GroupsAcl(actions=[<GroupsAcl Action.Create: 'CREATE'>], scope=AllScope()) -GroupsAcl(actions=[<GroupsAcl Action.Delete: 'DELETE'>], scope=AllScope())Please click here to visit the documentation and ensure that you have setup authentication for the CDF toolkit correctly.I would expect to see the same error on my github-action, but it stops without much useful information:Run cdf-tk deploy --env=dev --

I just have a new phone and I'm facing an issue with the Authenticator App. Please reset the MFA Access so that I can set up the authenticator again. Regards

Hi All,I am working with hosted extractors for kafka and it works pretty well for me with transformations when we have plain json data in kafka topics.Now I am trying to check if we can work with zlib gzip compressed data coming in topic, I have json string and messagepayload attribute of json string will be holding compressed data instead of whole message as compressed one, is it possible to write transformation for such data. e.g., in kafka topics{    "Header": {        "MessageId": 133367162,        "MessageType": "DATA_REPORT",        "Timestamp": 1741122422,        "PayloadCompression": "Z_LIB_COMPRESSION"            },    "MessagePayload": "eJyqVnJJLctMTi1WsoquVvJLzE1VslIyVNJRckksSQxJTIeIhySmQ6WCA3wVfFMTi0uLUlNgqioLQDIu/qFOPq7xYY4+oa5KOkphiTmlMLNCMnNTi0sScwuUrAzNTQwNjYxMjAwtzA11lAJLE3MySyqVrAxqY2tjawEBAAD//x5aKt0="}

As owner of a canvas, the Canvas UI identifies me as expected such as in version history or in comments. When another user makes edits and comments they are not identified and show up as seen in the attached screenshot. Just in case it matters, this is a Rockwell Automation DataMosaix project. Thanks!

After creating a new calculated time series in Charts, how can I replicate the same calculation across multiple similar assets?Let’s say I calculate [ampers / Fluid rate] in one pump; I’m now interesetd on repeating the same calculation across 10 other pumps (let’s assume timeseries have the same name for all pumps, i.e.: PumpX:AMP).Am I obliged to go to SDK and code that? Shouldn’t be an easier way to do that? Thanks!  

Hi,I have a datamodel in CDF and I want to run a GraphQL query through the SDK to retrieve specific data from the model. When I try to run response = client.data_modeling.graphql.query( id = ('sp_watercourse_data_model', 'Watercourse', 'v1'), query = query )I receive the following error message:CogniteGraphQLError: [GraphQLErrorSpec(message=Could not find data model with space=sp_watercourse_data_model, externalId=Watercourse and version=v1, locations=[], extensions={'classification': 'DataFetchingException'})]However, when I list my models usingmodels = client.data_modeling.data_models.list(limit=100).to_pandas()the model is in the dataframe as expected. What causes this problem and how can I fix it? thanks

Hi Cognite Team,I’m encountering an issue when trying to install cognite-toolkit (version 0.4.15) using Poetry. The installation fails with the following error:Installing C:\Users\andre.carvalho\AppData\Local\pypoetry\Cache\virtualenvs\cognite-toolkit-playgroud-gU7xo0oD-py3.11\Lib\site-packages\cognite_toolkit\_builtin_modules\contextualization\cdf_entity_matching\default.config.yaml - Installing cognite-toolkit (0.4.15): Failed FileNotFoundError: [Errno 2] No such file or directory: 'C:\\Users\\andre.carvalho\\AppData\\Local\\pypoetry\\Cache\\virtualenvs\\cognite-toolkit-playgroud-gU7xo0oD-py3.11\\Lib\\site-packages\\cognite_toolkit\\_builtin_modules\\contextualization\\cdf_entity_matching\\extraction_pipelines\\ctx_files_entity_matcher.ExtractionPipeline.yaml'Before running poetry add cognite-toolkit, I ensured my environment was set up correctly. However, it seems like the package is missing required files.Could you confirm if this is a known issue or if there’s a recommended workar

I had gotten a number of rest extractor pipe lines running the other day and then paused them. I am now trying to resume them and I am getting an Startup Error message “Missing required field session key”. I do not see a field session key referenced anywhere in the documentation on the rest extractor. Are you able to give any additional inform of where I can find this field?

We have a RDF-model based on CIM that we have imported to CDF Data Model via Neat. We are experimenting with Pygen. We are happy about both NEAT and Pygen and looking forward to explore further.  The names of the attributes of the dataclasses becomemes long with pygen and the CIM-naming convension.   Example 1: Model: cim:IdentifiedObject.name pygen: identified_object_name proposed pygen short: name Example 2: Model: nek:NEKACLineSegment.wireSegmentKind pygen: nekac_line_segment_wire_segment_kind proposed pygen short: wire_segment_kind Generic: Model. namespace:ClassName.attrName pygen: class_name_attr_name proposed pygen short: attr_name Is it possible to add an option in pygen to genreate short attributes? The rule would be to only the string followed by the . (dot ) I’m also interested in discussing other solutions with you. One options is ofc to change the names in the model, but then we are not conforming to CIM… Thanks! Regards, Olav  

Hi Neat Team,I know you are very busy, as I’ve been following all the commits and changes in the repo, and I really appreciate all the work you’re doing.We are probably going to be working on migrating from an asset-centric data model to a new domain data model that extends cdf_cdm, and one challenge we anticipate is that the existing model does not have an explicit equipment concept—only assets.Could you confirm if there are already plans within NEAT to address this, or if we can create a custom mapper using metadata.assetType to classify certain assets as equipment during transformation?Our proposed approach involves:Using metadata.assetType to filter and classify specific assets as equipment (e.g., pumps, motors, valves). Mapping asset metadata into the equipment structure in the new model. Retaining parent-child relationships where relevant.I understand this might not be a priority right now, but since this will likely be one of the tasks we’ll have to tackle soon, I wanted to chec

charts Daily average of the previous dayIf anyone knows a good way to do this, please let me know.I would like to see the previous day's 24-hour values by averaging the data over the day with a mean of 0 days 24:00:00 (resampling to granularity), but due to the UTC+9:00 specification, the previous day's processing does not occur until 9:00 AM in japan.I would like to see the previous day's nightly processing volume average at 8:00 AM.The only way I can think of is to use the “shift time series” to force it forward, i would be appriciated if anyone have a better idea.. 

Hello everyone,I’ve been working with Cognite Data Fusion for the past couple of months, and it has really caught my attention. Cognite AI can be a game-changer in our daily routine, helping us access the data and documents we need.I have a question regarding Cognite Industrial Canvas. I hope some of you are using it. Is there a shortcut key to switch from the arrow to the grab function? Each time I want to scroll the canvas, I have to click on the grab hand, which makes the process a bit slow. We have a shortcut key (“V”) to switch from the grab hand to the arrow, but I can’t find a shortcut key for the reverse. Can anyone help me with a solution?Thank you!

While reviewing the data-modeling-lifecycle documentation available on GitHub for Neat, one of the first steps mentioned is validating the sheet using Neat (a React app demonstrated in a YouTube video). However, I could not find any reference to the Neat UI for validating statements in the spreadsheet. Does this mean that this step can be skipped?

​​​​​​​Can Unified namespace architecture be implemented in Cognite Data Fusion

Hi,I understand that we can define properties on edges, but it isn’t clear from the documentation how these properties are populated. I am trying to implement the following modelAnd defined the data model using DML as follows How can I add a UserActivity edge with properties start_time and stop_time, that I can read while listing all the activities that a User has performed?Thank you

Hi Team,I wanted to know if it is possible to integrate Spotfire with Cognite Data Fusion. 

I came across this documentation regarding how we can use GQL to override the type of direct relation when using a CDM feature.Is there a similar documentation to highlight the changes needed to be made in the YAMLs when using CDF toolkit to deploy our model? Please note that I tried dumping the working GQL, but the resulting yamls did not work when tried the other way around.

Is it possible to trigger an email for a set of dynamically provided email IDs from a Cognite function? Since I don’t have a static list, I can’t integrate the Cognite function with the Extraction pipeline to use its notifications. I couldn’t find any documentation on this.If not, can we integrate a third-party library for sending emails inside a Cognite function?