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I have created 1 workflow , in which I am creating dynamic tasks depending on input, it creates batch of ids and create tasks out of it. Below is workflow definitionWorkflowVersionUpsert( workflow_external_id="test_dynamic-0729", version="1", workflow_definition=WorkflowDefinitionUpsert( description="This workflow has two steps", tasks=[ WorkflowTask( external_id="test_sub_tasks", parameters=FunctionTaskParameters( external_id="test_sub_tasks", data="${workflow.input}" ), retries=1, timeout=3600, depends_on=[], on_failure = "abortWorkflow", ), WorkflowTask( external_id="test_create_sub", parameters=DynamicTaskParameters( tasks="${test_sub_tasks.output.response.tasks}" ), name="Dynamic Task", description=
I have got a new phone and am not able to restore microsoft authenticator from the backup on it.Please reset the MFA Access so that I can set up the authenticator again.
Define graph axis for time series data in Industrial Canvas. In this example below, date range and UOM are needed to understand the graph effectively. Submitted at the request of the Cognite project team
Users need quick access from each CDF resource type back to the source data systems when they need to deep dive into additional data. This could be achieved through hyperlinks that utilize a base URL and a dynamic equipment tag URL parameter, accessible directly from each resource type tab interface, or as a separate calculated data field. Example: Equipment tag (function#) 10-1107https://reliability.mgroup.com/RED-FE/FindEquip/equipProfile?Functionno=10-1107!--scriptorendfragment-->!--scriptorstartfragment--> Submitted at the request of the Cognite project team.
Got a great idea for the Impact Challenge? We can’t wait to see it! Submitting your idea is easy—and it’s the first step toward turning your concept into something real, with the support of the Cognite community and mentors.When you submit, we’ll publish just the title and a short description of your idea (anonymously) for the community voting phase. 🙋♀️ Got questions or not sure where to start? Just ask—we’re here to help and happy to support you throughout the process! Submit your idea here!
By default, filters in Cognite seem to be set to “AND,” meaning that to get a successful return, if you have slected two criteria, the target bust have both properties. There are times when the user wants to cast a wider net, and use “OR,” meaning that the filter will return results if either criteria is met in the filter. For example, if the user wants results from two different platforms, but not all platforms. Or, in some cases, the filter will not allow the user to select the filter element because of this property. Suggest standardizing how filters work and allow user to select either “AND’ and “OR”
We use DB Exctractor to push data from MSSQL Database to RAW, but have run into a problem.Over time the raw table grows much larger than the Database table and this is due to rows that are deleted in database will not be deleted in RAW. How can I set up the config yaml for db extractor to also handle rows that are deleted in database?
Please add a feature where you can select all when filtering on a “is equal to”. Similarly to how you would do it in excel. This is extremely helpful when trying to obtain a specific data set out of your search. !--scriptorstartfragment-->!--scriptorendfragment-->
Hello everyone,I would like to use the OpenAI library or Langchain library in Cognite Streamlit for implementing natural language data search and chat applications. We are using Azure OpenAI Services on our Azure tenant, but I understand that due to the mechanism of the Streamlit app running on Pyodide, we can essentially only use Pure Python packages because of certain constraints.If there are any best practices regarding this, I would appreciate the guidance.I recognize that one potential solution is to build our own wheel, but I suspect that this option may not be viable since Cognite Streamlit cannot store built wheel files.https://py.cafe/docs/howto/buildFor the OpenAI library, I found that it can be installed by downgrading to version 1.39.0, which I suspect is due to dependencies with jiter library, but I am looking for other (and for langchain) possible solutions.
Our full Cognite Data Fusion Bootcamp calendar is now available through December 2025 This 4-day, in-person training is your opportunity to build end-to-end solutions using Cognite Data Fusion (CDF) - covering data foundation, integration, modeling, and orchestration through hands-on, real-world scenarios. Ready to skill up? Reserve your spot today for our bootcamps scheduled in Oslo and Houston. Event Date Location Cognite Data Fusion Bootcamp in Oslo - June 2025 June 16-19, 2025 Oslo, Norway Cognite Data Fusion Bootcamp in Houston - June 2025 June 23-26, 2025 Houston, TX, US Cognite Data Fusion Bootcamp in Houston - July 2025 July 14-17, 2025 Houston, TX, US Cognite Data Fusion Bootcamp in Oslo - Aug 2025 August 11-14, 2025 Oslo, Norway Cognite Data Fusion Bootcamp in Houston - Aug 2025 August 18-21, 2025 Houston, TX, US Cognite Data Fus
I noticed a few misses / potential improvements in the alerts & monitoring section of Cognite charts - Was wondering if anybody else had similar experiences?Email alerts always come in UTC (Considering we are based out of India, we may miss important alerts because of this). Let's say I have an Asset where I have generated a chart (in our case a particular well from a particular lift type showing critical parameters). A filter-based option where I can just switch Wells showing - using the same parameters as tagged before.
Thank you for your continued support.The following error occurred during the P&ID contextualization stepIs there any solution?
Hi,I'm developing a Streamlit app using the standard Streamlit library. However, I’ve noticed that the app behaves differently on my local machine compared to its deployment in CDF, likely due to additional configurations or dependencies used in CDF.Could someone guide me on how to replicate the CDF environment locally to ensure consistent behavior?Thanks
I recently started using CDF.I started uploading data to CDF using the OPC UA Extractor and also authenticated Postman with Entra ID.However, even though I followed Cognite’s documentation step-by-step,I keep encountering a 401 Unauthorized error.Attached below are my Postman settings.Could you help me identify the issue and suggest how to resolve it?
Can we visualize Visio files with.vsd extension in Industrial canvas?
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
Hi,I'm building a Streamlit app that fetches instances from the data model. However, the view from which these instances are retrieved contains over 1.3 lakh entries, causing performance issues due to the large volume. Additionally, since Streamlit, supported by CDF, does not support multithreading, I am unable to parallelize other calls.Is there a way to retrieve all 1.3+ lakh instances in under 10 seconds?Thanks,Tausif Sayyad
I am trying to run the db extractor as a service on a virtual machine provided by my client. I had it running successfully until I stopped the service. Now wen I try and start the service again from the services window I am getting an error “Windows could not star the Cognite Database extractor of Local Computer. For mor information, review the System Event Log. if this is a non-Microsoft service, contact the service vendor, and refer to service-specific error code 536870913”. In the Event Log I am seeing the error “The description for Event ID 3 from source DBExtractor cannot be found. Either the component that raises this event is not installed on your local computer or the installation is corrupted. You can install or repair the component on the local computer.If the event originated on another computer, the display information had to be saved with the event.The following information was included with the event: Traceback (most recent call last): File "win32serviceutil.py", line 10
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