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Since yesterday, I've noticed that deploying functions via the Cognite SDK is failing. Our strategy involves uploading a zip file of the function and then creating the function. While the file uploads successfully, the function creation process returns a "Gateway Timeout" error. I've tried deploying both locally and through the Azure Pipeline, but the error persists. Initially, I thought it might be a temporary instability, but the issue continues this morning. Cognite API error 

Hello,  We recently migrating the way of deployment of Streamlit App in our cdf toolkit project. Before we used to deploy our streamlit app by creating a file in a dedicated dataset. Now we use out of box way of deploying Streamlit Apps provided by cdf toolkit  (this was not available before).  When changing to this way, we notice that the app is only deployed using “--include streamlit” option.i.e: when not using the “--include streamlit” cdf toolkit the deploy summary is the following:    however, we notice it is a previous version that has been deployed!  when using “--include streamlit”: summary is the following And the App latest version is deployed as expected. Toolkit Version used is '0.6.20'. Are we missing something? Could you please take a look at this?  Thanks!      

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.  

I’m trying to update the is_string value of Time Series from false to true using CDF python class ognite.client.data_classes.time_series.TimeSeriesUpdate. But I’m unable to update it. The value in CDF remains false even though I updated it. Is this an expected behavior of Time Series Update?

Hi,Will there be any major changes to the API and Python SDK when moving from an asset centric data model to a flexible data model? Do we have to expect to refactor our backend using the current python sdk once the flexible data model is operationalized?Best regards,Vetle.

Hello Team,We have three views:→ ScalarProperty{#other fieldsentity: Entity}→ Entity{#other fieldsentitytype: EntityType}→ EntityType{externalId}Given this, from ScalarProperty view, can we use groupby on entity.entityType.externalId when querying instances and counting them using the query API, or is there another way to achieve this?

Datasets have an “Access Control” page where you can see which groups have access. Is there a similar way to quickly identify which groups have access to Data Models / Spaces?If not, can this be implemented as a feature?

Hello, We are a heavy users of Grafana CDF datasource. Are you planning to support alerting anytime soon?  Thanks !

Hi team, I want to import some functions from util folder which is same directory of the folder in which handler.py. As files in util folder is being used by other cognite functions too, I can’t keep the files of util folder in function_folder but at the time of importing functions from files of util folder and after deploying cognite function it gives import error as  so basically structure is Repofunction_folder- file1 and handler.pyutil_folder - file2 and file 3 And I want to use methods from file 2 into handler.py and I have added __init__.py in util folder 2025-04-04T12:17+05:30 : Traceback (most recent call last): 2025-04-04T12:17+05:30 : File "/home/site/wwwroot/function/_cognite_function_entry_point.py", line 297, in import_user_module 2025-04-04T12:17+05:30 : handler = importlib.import_module(handler_module_path) 2025-04-04T12:17+05:30 : File "/usr/local/lib/python3.9/importlib/__init__.py", line 127, in import_module 2025-04-04T12:17+05:30 : return _bootstrap._gcd_import(name

I am starting the Cognite Data Engineer Learning Path. How to get the access to Cognite Data Fusion platform to practice the learning.

After updating the event(insight) it is getting updated in the cdf portal.Passing filter to “cdf_beta_api = "https://api.cognitedata.com/api/v1/projects/{CDF-PROJECT-NAME{/events/list"” when we try to list event based on filter all of the sudden, we are getting the older data in response.When it is called again we get the updated data in response python code snippet In line 34 we are getting updated role but in line 49 we are getting older role,when it is called again we  get updated response

I am trying to update column value in view using upsert method, but it's not working and giving 400 error code.  adding screenshot of upsert api, as its not matching with the input structure provided in document.

I am able to Delete data using python code using Primary key of the table in CDF staging/RAW. But I need help with deleting data based on where condition for columns other than primary key. I am following the below documentation for deleting based on primary key. Data Ingestion — cognite-sdk 7.74.5 documentation  Delete rows from table:>>> from cognite.client import CogniteClient>>> client = CogniteClient()>>> keys_to_delete = ["k1", "k2", "k3"]>>> client.raw.rows.delete("db1", "table1", keys_to_delete)

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!

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

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!  

I have a data model and would like to retrieve or list nodes from a specific view. Specifically, I want to list nodes that have been created or updated, for instance in the last 30 days,  using Pygen.I understand that Pygen provides filtering capabilities to filter based on view properties or columns. However, I don't see a way to filter by the updated date, which is a column automatically created under the data_record column when inserting new nodes with Pygen. It seems Pygen doesn’t expose this field as a filter parameter.Is there a way to apply a filter on data_record.updated_date using Pygen?

Hello, In our project, we need to use TIMESTAMP_LTZ data type for our timestamps. This data type is only available in Spark starting from 3.4 version. Is it possible to upgrade your version (which is 3.3 I believe) to 3.4 at least please? Thank you

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.

Hello, We have been trying to download this package (spgci) using Jupyter in CDF but are getting the following error: Based on this documentation, it seems like its not possible to do so. Could you please advise if there is a solution for this issue? 

Hello,I notice from the Events API documentation that the start_time can be specified by a TimestampRange object. However, the documentation does not explain what this object is, whether it is a class external to the Cognite SDK, or give any examples on how to use it.Can someone give more information?-Anders

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:  

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.

type FTAC_ActivityLog {  Site: String  AddDate: Date  ActionComments: String  VersionNumber: Int64  UserComments: String  Label: String  AssetId: String  ActivityDate: Date  Action: Int64  ActivityLogId: String  SortOrderId: Int64  User: String  VersionId: String  AssetPathId: String}I have a mode as aboveI want to do the aggregation function for the user per site statistic. how do I prepare my aggregation query, I am new bee for this, by looking for the https://docs.cognite.com/cdf/dm/dm_graphql/dm_graphql_querying aggregation section, quite confuse.

 I am facing issue of jupyter notebook getting crashed frequently. Sharing the image for reference.