Community Discussions

Hello, We are trying to delete a unit on a container attribute using CDF toolkit. CDF toolkit identifies that there is a container change. However, this change is not reflected on the container and view schema after the deployment. No error raised.Note: Adding and modifying container attribute unit works well.Any ideas ? Thanks,

Is it possible to get Cognite Data Fusion APIs from Minitab application? If does, how does it work the connection?

BackgorundWe have an ongoing project where we need to deploy Cognite Functions and other resources (TimeSeries and Sequences) regularly, both during development/debugging and when publishing new versions of our product.The way we have solved this today is this:We maintain a “deployment template” YAML file that defines all the “stuff” that needs to be deleted/created during a redeployment. This includes Cognite Functions, TimeSeries, and Sequences. Each entry in the YAML contains all necessary data for creating the relevant resource. We have written some Python classes that perform resource specific deployment (CogniteFunctionDeployer, TimeSeriesDeployer, SequenceDeployer). These behave quite similarly, with methods that backup data, delete, and recreate the resource. These classes are instantiated in our “deploy.py” script, which just itereates over all the resources defined in the template (step 1), and calls the “.deploy” method on each resource deployer class. The deploy script is c

Hi,I was testing annotating P&ID documents towards nodes from a data model. It worked and the annotations are available through the API, but is not showing in the preview of the file. When the annotations are towards assets or files (from the asset-centric model) then it shows as expected, but when towards a node it isn’t. I am not sure if this is a bug or a future feature yet to be implemented.To be clear, I am annotating a File (not a CogniteFile from core data model). And the annotation is created and connected to the file and points to specific instances in a data model, but I see no way to visualize this is in Fusion. Regards,Markus PettersenAker BP - Data Delivery

Hello everyone,I am using cognite client and wondering if I can write simple graphQL queries and run it through. Example. Select all assests.But it seems, it only provides option using one of the data models. Newbie to CDF. 

Hii everyone, I have created a data model and in that model I have one parent view and then a nested view. So I made cursorable true for parent and cursorable true for nested view in the indexes field(@container) so only limited rows of nested columns are coming into dataset( used a plugin to fetch dataset from cdf using dataiku) but if I do cursorable false for the nested view then all the rows are coming for it. Just for FYI in our code of plugin we have set limit of 1000 rows so when cursorable false then all the rows are coming and when cursorable true for nested view then only 1000 rows are coming. And when parent view’s cursorable is false it says it does not exist.Is this correct behaviour of the cursorable feature? if yes can you please explain why?

The buttons have disappeared in the search after one of the releases. It is still usable, but you have to guess the functionalities. 

It was requested by @ibrahim.alsyed  from Celanese that we increase the limit of the raw datapoints for the endpoint /timeseries/data/list (Retrieve data points) to 1 million. Currently, the non-aggregated data points returned is limited to 100000.For the drill-down views with more than 7 days, the server-to-client data transfer maximum size is reached due to the number of datapoints (some timeseries have more than 1 datapoint per minute). The solution they have implemented is that for ranges higher than 7 days, they are displaying an interpolated trend using the maximum absolute values for 30-minute aggregation. Once the user selects a smaller date range, they are unable to display all the values. Hence a increase in the limitation was requested.

HiSince the release of nested workflows I have been looking at suitable use cases for it in our environment. I have sketched up some possible flows, but there are some cases I don`t know how to handle in the best way.Consider this scenario where we have two source systems (source X and Y) where each system has a source model that is populated via transformations. The transformations are divided into multiple workflows based on what project it gets data from. I have two solution models (model 1 and 2) that gets data from the source systems. Model 2 gets data from both source models, while model 1 only gets data from source X. My issue is that the data from the source systems are ingested into CDF raw tables once every morning and the data arrive at different times. If data from source X is in CDF before data from source Y, I want the workflow tasks relevant to solution model 1 to run, but not solution model 2, because the source Y data is not ready yet, however if both sources have inge

Hi Team,Please help me to find the mistakes in my code. Let me showcase the dummy codemain code:def main() -> None:    """    Main entrypoint    """    BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))    config_values_vault.set_vara()    with Extractor(        name="SAP_Extractor",        description="An extractor to extract asset hierarchy from SAP based on root node",        config_class=SapConfig,        # version=__version__,        # debugger        version="1.0.0",        run_handle=run,        metrics=metrics,        config_file_path= os.path.join(BASE_DIR, 'config.yaml'),    ) as extractor:        extractor.run() I have build code unittest for above code: def test_main():    with patch('os.path') as path_mock:        with patch.object(path_mock, 'abspath') as mock_abspath:            with patch.object(path_mock, 'dirname') as mock_dirname:                with patch.object(path_mock,'join') as mock_join:                    mock_abspath.return_value = '/p

Hi, I would like to get more information regarding the Cognite 3D & Scene module. I have tried building the scene and added 3D model and object but facing some blocker to proceed. Below are my question and hope someone able to help to answer it.Question:How to upload & publish 3D model using SDK or API? How to add 3D model to the Sceme using SDK or API? In CDF UI, only one 3D object instance allow to be added in the scene? Is there a way to have multiple instance of the same 3D object in one scene? 

Recently the user interface in Charts has changed. I’m not seeing the ability to add timeseries via a PID in a contextualized PDF file. See the image below. Is that capability not available any more?You can see the PDF from the Industrial Canvas UI: 

The date field “Last updated” and “Created time” when viewing files linked to assets does not reflect any information I find in the file itself. Where do these fields originate. 2017 is long before our CDF instance was created so it is a bit strange.These are the datetimes from the file header:{ "name": "SKA-AK-ER300-P-XB-0003-001.pdf", "sourceModifiedTime": 2021-01-25 01:30:44, "uploadedTime": 2024-10-02 06:07:37, "createdTime": 2024-05-01 02:46:45, "lastUpdatedTime": 2024-10-11 09:00:04, "uploaded": true} 

HelloI want to know if it is possible to implement a loop within a transformation?

I am doing some hands-on exercises, but I am stuck in a point here.The task is to Add some time series data:- Create a time series object for each country asset in CDF called <country>_population and associate it with its corresponding country asset.  Remember to associate the data as well to the data set that you created.   As an example, the time series for Aruba would be called Aruba_population.- Load the data from populations_postprocessed.csv into a pandas dataframe.- Insert the data for each country in this dataframe using client.time_series.data.insert_dataframe.- As a check, retrieve the latest population data for the countries of Latvia, Guatemala, and Benin.- Calculate the total population of the Europe region using the Asset Hierarchy and the time series data.The point I stuck on:=> “Insert the data for each country in this dataframe using client.time_series.data.insert_dataframe”. I am not sure what does this means, although I had done an early exercise …“Insert th

Hi Team, Can you please reset my MFA. My previous phone is damaged and wants to setup MFA on new device. email - rnile@slb.com

Can we connect Petrel to Cognite and write back from Cognite to Petrel? and how it is done?

HelloIs it possible to get a list of data sets to then use within a transformation? I can see it is possible with the API and pythonSDK to get a list of data sets.I want to get a list of data sets, then based on certain conditions fetch data from those data sets.

Hi,Do we backup the Cognite function logs as well? If yes, what is the retention period? Can we recover the logs later to see the old activities?  

Hello,  Does Cognite Team have any intention to have a Terraform provider ? :)  Cheers,

Hello! Is it possible to do forward filling of CDF timeseries datapoints at second level? Example: I have a timeseries with values at certain timestamp as the tag is coming only on value change. But I want to forward fill the values to be able to analyze the tags better in PowerBI (this operation takes much time in PowerBI). 

I would like to use variables in a SQL transformations, trying the syntax shown in this StackOverflow article.  However, the following SQL fails with the message “Query is not safe for execution. It must not contain commands like CREATE, DROP, INSERT, etc., but found node: SetCommand.”  How can I use SQL variables with this Spark implementation?SET startDate="2023-01-01"SET endDate="2023-12-31"SELECT explode(sequence(to_timestamp(${startDate}), to_timestamp(${endDate}), interval 12 hours)) AS timestamp

Recently came across articles on MAD and several variations of ESD test for detecting local vs. global anomalies (outliers) in time series data. Anyone has any experiences with such algorithms and any words of wisdom on how to utilize such algorithms to detect local anomalies? Thank you very much,Is there any benefit other than MAD being more robust (to outliers) than Standard Deviation? what about ESD?

When using Entity Match/Quick Match, the user cannot “Select All” matching Events (or Timeseries) when applying an additional filter. The check box is grayed out. Pretty frustrating. Am I missing something? 

Hello,  We have trouble deploying new container via cdc-toolkit after changing an attribute property. We have the following error:  cognite.client.exceptions.CogniteAPIError: Cannot change type for property ││ 'PullDate' in container 'space:container'. | code: 400 Notes;This container contains data before this change We incremented the model version to a new major one We have consumers consuming the current versionWhat is the best practice for handling this kind of changes with the least effect on our current consumers ?  Thanks,