Solved

I have been trying to create an asset but I keep on receiving 403 error consistently. Below are the images attached respectively. It seems like I don’t have access for asset creation. Can anyone help me to rectify this issue please?

Hi.I’ve got an enterprise data model set up, and built a test solution model with a subset of the enterprise model, and also expanding one of the views. Somehow my solution model does not show in the UI - only a spinning wheel is shown. Does anyone know where I can start to troubleshoot this?  I’m able to populate the model with transformations, and I can retrieve the resulting nodes using the Python SDK, so the model seems to be working. Can this be only a UI issue?

Intermittent Internal server is seen while reading RAW table. It is happening in different functions that may not be part of some workflows. It is blocking workflow to run as we use these staging tables to get information for other functions. Is there is any check that needs to implemented ?  

I’m using cognite/reveal and cognite/sdk for a project developed in react (18.x).While connecting cognite/reveal with react application I’m encountering this error:e.BufferGeometry is not a constructorTypeError: e.BufferGeometry is not a constructor I would like to know what is causing this error. code attached below:-   A help to figure out the issue would be helpful.Thank you, Regards,Hariharan B P 

Hi Community,I would like to know if anyone have information on how the Cognite Streamlit Reveal python package full feature & capability documentation? Second, can the "cognite-streamlit-reveal” have the zoom in / zoom out event trigger? This is because we want to develop a use case where user able to zoom in into the oil rig plaform 3D and once the zoom stop, it able to send and event to show what are the bounding box of that area so that we can load data related to that specific area during zoom in and zoom out interaction. Thanks

Hi,I am working on one of the project where I am using MQTT extractor to inject data into CDF. Kindly advise best optimized stepwise solution to integrate and transform data into CDF.Note that it is Sparkplug B-formatted MQTT data.Kindly advise.Regards,Amol S Pawar

Hi Team,I'm excited to be registered for the Data Engineer Basics course, specifically the “Learn to Use the Cognite Python SDK” section!While working through the “List, Search, Retrieve” portion, I came across an issue. The documentation states that the general pattern for search operations is `client.<cdf_resource_type>.search()`, where `<cdf_resource_type>` could be `data_sets`, `asset`, `time_series`, `events`, `files`, `labels`, and so on.Following this, I tried the code:```pythonc.data_sets.search()```However, it resulted in the following error:```AttributeError: 'DataSetsAPI' object has no attribute 'search'```I double-checked the Python SDK documentation but couldn't locate a `search()` function for `data_sets`. Could you please let me know if I missed something? And if the `search` function for `data_sets` is indeed unavailable, perhaps it could be noted in the documentation to prevent future confusion?Thank you for your help and for the informative course! Best re

Is there currently, or is it planned on the Cognite roadmap, a Job UI for real-time tracking of job statuses, including runtime, failure reasons, and retry counts? Additionally, will it provide a step-by-step view of each job’s progress to help easily identify and troubleshoot issues?

Im running a jupyter file on the cdf but it does not run the cell even for a very simple code as print(). What could be the reason? Im using chrome as my browser.  

Hi Developers! :)I have a use case where I need to retrieve a large number of Time Series data points from CDF. We are a final DataFrame with a shape of approximately (1000, 400000).  So a total of 4 billion data points + the index. I also want the data retrieve to be fast…. :)  So instead of retrieving everything in a single call to `client.time_series.data.retrieve_dataframe`, I thought to use multithreading to start the retrieves in an approximately parallel fashion, and then concatenate the resulting dataframaes at huge runtime gains! However, I observe that the results from multithreading do not equal the results from the single call. :( Specifically:I split the data retrieval on Time Series IDs, and concatenate along axis=1. I observe that data from the “first two” threads have a lot of missing data, while data from the last two threads are 100% correct. I have also tried to split the DatetimeIndex and multithread along this dimension, but I see exactly the same result in that so

I would like to know if Cognite visualization has the same features as the one found in Power BI and Tableau.The reason is simply because we need to have Decision Support and Visualization module as part of our overall setup.

Hello everyone,I have a problem viewing 3D. It tells me that I don't have any scenes created, but I do have some. I understand that the error message is because I have to configure the location in the scenes. How do I do that? I don't see the option to add the location.  

Hi.I would like to experiment with using more of the advanced functionality in data modeling. For instance, everything related to importing views and mapping properties between data models. However, I feel like the documentation (https://docs.cognite.com/cdf/dm/dm_graphql/dm_data_modeling_language#specification-of-directives) is a bit lacking of examples of how to use the functionality. Are there any end-to-end (both basic and advanced) examples or other training material of how to reference data in other data models using all the different directives specified. For example examples of best practices when referencing between a source model and a domain model, and when referencing between a domain model and a solution model.Thank you!Sebastian

Hi everyone, I am wondering if someone can help explain the difference between Node/Edge and View/Connection Properties. I am extremely confused on these concpts as I read through the CDF data modelling tutorial.My current perspective is that Node/Edge and the knowledge graph defined by Nodes and Edges is the most “vanilla” version. Where as a Data Model made up of Views and Connection Properties is a similar construct but based on a specific perspective. The analogy between a View and Node in a relational DB sense will be a table and a view.Is my understanding correct? If so, I am wondering what is the actual need of Node/Edge given there is already Containers that perform the data storage like a SQL table would do? It seems to me that View, Connection Properties and Data Models are sufficient enough to produce any type of sementic model?

When I am creating calculations within Charts I often have to click an object twice before it is selected.  For example, adding a Function.  When I select Operators the list resets and I have to click Operators again.  This time it provides the new window.  I’ll scroll down and select Round (doesn’t matter what I select).  The list resets back to the top and I scroll back down and select Round again.  This happens every time independent of browser (Chrome or Edge).  Is this common for others or a unique issue for me?  

I've heard various approaches discussed by my team for starting work with Cognite Data Fusion (CDF), and I’d like to clarify a few of them. I want to begin with the basics:For example, if we are starting with a new client using the Cognite QuickStart requirements (deploying and configuring out-of-the-box solutions like InField, Maintain, and InRobot), and we plan to use the Cognite Toolkit, what should the first step be?a) Start by setting up the Cognite Toolkit using InField built-in modules/examples/infield?b) Start from scratch, setting up Cognite with a new enterprise data model?(We have a lot of questions about this one)c) Start by setting up Cognite with another example from the toolkit repo?d) None of the above.Additionally, if the answer is a, is there any need at this stage to create a specific solution model or a custom domain model/enterprise model, or can we leverage Cognite's core models, given that use cases outside of Maintain and InField have not yet been defined?

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

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

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

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

Hello Team,i was trying to create a Plotly chart. while importing i constantly get error message stating that Plotly module not found.same was the case for scipy. how can i install these modules?

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? 

We are working with one of our sites to build out a plan in Maintain for their TA. The TA have ~3500 work orders so we are trying to bring those into one plan. We have run into several issues during this, so looking to see if anyone has experienced this or knows of limitations in Maintain. When viewing activities in a plan, we can only scroll down in the list to 1000. We most likely will apply a grouping, but this could prevent mass selection if more than 1000.  We have not been able to add all ~3500 activities to the plan. We have gotten a plan up to 1950, but then it won’t let us add any more.@ryanbooker @Gerard LeBlanc @Andrew Montgomery 

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: