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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

Hello!I'm trying to develop a PowerBI dashboard but encontered some situations where it's impossible to not expand new columns or lists from the nodes (foreign key from dimension table is inside the node) and I understand this drops the performance considerably (sometimes even turns impossible to load the table) of the model in the dashboard.Is there a way to query the data straight from the connector? I know there's the possibility of making simple filter queries but I wasn't able to use other type of OData queries that exists. We need a solution that simplifies this since currently it's impossible to load more complex data models into PowerBI without expanding the nodes.Please understand that I want to keep this situation as low code as possible, so an API or SDK solution is not an option.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

Hi!I have a question regarding how quickly the metadata for a FunctionCall is updated after a successful call. The reason I ask is the following case:I have deployed a set of Cognite Functions that run on a schedule every minute. In production this will be every 10 minutes, but for testing and debugging I want to speed it up to see how it works.One of the functions perform this job:1. Determine the time range for the data fetch based on response value of previous call (if first call we use pd.Timestamp.now())2. Fetch Events in time range and process the data3. Write processed events to a Sequence resource in CDF4. Return a dict {"status": "success", "start_time": start_time}The start_time of call N becomes the end_time for call N+1. The function is a “historic backfiller” that traverses back in time to a pre-defined date and fetches Events along the way.The issue:I have run into the scenario that in call N+1, when I get the response of call N, the status of call N is still Running. So

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?

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,I’m trying to pull energy usage data from a Rockwell power monitor that supports OPC-DA but not OPC-UA. I configured the OPC-DA server (rslinx classic in this case) and I’m able to see the live data using an OPC-DA client (Kepserver). Next I try running the extractor, and it sees the project structure and creates assets, but never creates any time series data. I’m seeing very little in the logs. I did notice that “contious: False” shows up, but I don’t see any way to change that via configuration. I will get a keep alive message as you can see in the second image, but no data. Any suggestions would be greatly appreciated! Thank you.  

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 Cognite Team,I'm curious about the specific rules you follow for versioning views, particularly with the versioning format like "@view(version: 'v4')". I’ve noticed that the last number is the only one that changes, and I wanted to understand the rationale behind this.In my experience, I typically use the X.Y.Z format, where:Major versions indicate significant changes or potential backward-incompatible updates. Minor versions introduce new features or enhancements. Patch versions address bug fixes or minor improvements.While I understand that tools like DVC are more suited for tracking actual data changes, we are focusing on versioning the views and models. Is this approach aligned with your guidelines?If there aren’t any formal rules, that’s perfectly fine; we’re just trying to establish our own conventions and best practices. Versioning is an important aspect for us, and any insights you could share would be greatly appreciated.

In a hypothetical scenario where your company has more than 100 sites across different countries, each containing multiple units, it's important to organize data in a way that ensures scalability, flexibility, and ease of maintenance.We have our own perspective on the matter, but we would like to hear from other specialists, especially those experienced in data modeling approaches, like yourself. Example 01: Managing Employee Information Inside CogniteQuestion: Should we separate SPACEs for each site? Example Structure in Cognite Data Fusion:You can structure the SPACEs for your company’s sites and units as follows: Top Level: Country Create a SPACE for each country to organize data regionally.Example: US, BR, IN (for the United States, Brazil, and India). Mid Level: Site For each country, create separate SPACEs for each site within that country.Example: US_COR, BR_SAO, IN_BOM (COR for Corpus Christi, SAO for São Paulo, BOM for Mumbai). Low Level: Unit Inside each site’s SPACE, cre

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

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?  

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

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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?

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Hello !  I am new to this community but would like to ask the following:   Has anybody any experience extracting a list of DCS Process Alerts to Operators or Operator Overrides on an Hourly or Daily basis into CDF ?   This data resides in the OT and is sometimes extracted and made available in reports in the IT domain, e.g., by Yokogawa.   As I see it, this is an important indicator for stable and well managed production operations, and also a good predictor of upcoming threats to production.

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