Impact 2024: The Industrial Data and AI Conference for and by Users | Nominate Speakers Now for a Ch...
All you need to know to get started with our community.
Connect with the community to ask and answer questions and learn.
Build better products with the product team.
Have your say on beta products in our Early Adopter Groups.
Hey guys. I’m trying to create a function with some different constants. Do you know how can I change the name of the constants?
Digital Transformation Team of Cairn suggested following capabilities into Cognite charts.Extend the concept of folder to store charts created by different teams. e.g.: Teams can chose where to store their chart. Add capability to Industrial Canvas to import a folder containing charts.
Enable monitoring of Cognite Functions, like extraction pipelines and transformations, being able to alert on failure by sending an email
Hi, I’m wondering if i could make AI search answer more correctly.My understanding of AI search is first LLM changes questions in a search bar into graphQL and then returns the corresponding data as an answer.We need to tune questions so that we can draw the answer we are looking for and is there any example of use of RAG to tune questions more friendly to your own knowledge graph?I don't know technical detail but in my image, designing to sandwich LLM between RAG and graphQL might help improve accuracy.
Currently, the data model and data model instance actions are limited to read and write capabilities.To enhance clarity and delineate responsibilities within CDF groups more effectively, I propose dividing the existing configuration into distinct categories: read, write/update, and delete.Another enhancement is to disallow the deletion of containers that have associated views. The same principle applies to views; they cannot be deleted if other components (views or data models) are referencing them.
Team, I have customer has with a jupyther notebook that he is trying to use for Api Cognite Python SDK.Where do they found the correct information that must be in TENANT_ID? Any recommendation or documentation that I can specifically refer to? Thankyou in advance!
I am receiving the below error when executing a function I have created in cdf. If I am understanding it correctly the suod library is attempting to wrtie to a read-only directory. I have not found the suod library to allow for setting an alternate path. I did locate the dump command in the cost_predictor.py file, in which I placed commands to write in the /tmp directory. However, could I use some guidance on how to get the altered suod library loaded into cdf with my function? I have attached both the original and updated cost_predictor.py files with code to redirect the dump to the system temp directory and would appreciate any guidance on whether I am on the right path here or not. Thanks in advance! Error text:2024-05-16 04:15 Function started2024-05-16 04:15 : The function terminated unexpectedly. Please contact Cognite support if the problem persists.2024-05-16 04:15 : _point.py", line 459, in run_handle2024-05-16 04:15 : result = handle(*function_argument_values)2024-
Hi,I have some questions on Cognite. Would you please help?1. Files1.1 To delete Cognite files, after deleting the files do we need to delete the documents also? 1.2 After we create the files, the documents are created by Cognite automatically, but it seems there are some random delay to create the document, why?1.3 what is the concept of document in Cognite? Why is it created? Any documents on that?2. sequences2.1 To delete Cognite sequences, after deleting the sequences do we need to delete the datapoints also? 3. timeseries3.1 To delete Cognite timeseries, after deleting the timeseries do we need to delete the datapoints also?4. delete order for containers, views 4.1 to delete all FDM data in a space, the order of deletion should be edges, nodes, containers, view versions, data models, space. And the containers should be deleted first then delete the view versions, right?Thank you!Alice
Global companies might face the challenge of having global data used by different countries, regions and languages, in ERP and other source systems. Such data exist in form of shared ‘catalogs’, ‘master data’ or ‘configurations’. This data is often setup and maintained in source systems, with different languages to support users in multiple regions. This data then became attributes or metadata in Cognite objects.Example given - Current situation:This 'catalog' data (metadata) is extracted from source system in one single language - English - only, since CDF can't store it in multiple languages.Then these metadata - field names and field values - are displayed in CDF with the only one language available - English -.*Notice Metadata fields names and metadata field values don't change, despite user changing CDF language settings. Proposed solution (request):Have a way to store metadata fields names and metadata field values, coming in different langu
Facing Session IDP refresh from UI while running workflows and transformations. Tried using client id and client secret. Facing this since yesterday Let me know if any changes required from our end
Is it possible to increase the limit on execution of workflow instances per project or limit on execution workflow instance itself instead of project ? as we require to schedule workflow, on that it depends how much data we get to run workflows instances, so it can be more than 50
Is there currently a best practice for adding a geographical location to an object in a data model?I’ve considered simply using a string property to my model containing wkt-formatted strings, or a GeoSpatial feature external id, but none of them seem ideal. I assume there is a size limit on strings - so that wkt might be a bad choice? We’ve previously discussed this for timeseries, where you mentioned that data model geolocation was on the roadmap. Any update on this? 😊
Hi,In the documentation it is mentioned that 10,000 timeseries is the limit in each subscription. Is this the hard limit or it can be changed based on use cases? We are using CDF workflow and in that our first function to read data points subscriptions to get the timeseries and datapoints. Based on our use cases, 10,000 number for timeseries in subscription is too small. We are considering 10,000 wellbores and 200 properties. (10,000 * 200 = 2 Million timeseries). Any recommendations?
I’m working on a prototype for a flexible data model to store time series data in a way that is easy to catalogue, query and filter. Using Pygen both to populate and use the model seems convenient.At its current iteration, I’ve only applied direct relations and (undocumented?) @reverseDirectRelations in the GraphQL schema. I expected to be able do something similar to client.windmill(windfarm="Hornsea 1").blades(limit=-1).sensor_positions(limit=-1).query()as found in the Pygen documentation, but it does not work (my client.windmill analouge has no methods corresponding to its relations). Do I have to use edges instead of relations to query easily and declaratively with Pygen?
Hi, Is it possible to use multiple clients for the same Cognite Function? I know the handle function only takes one client as argument, but is it possible to initialize another client inside the function? I want my Cognite function to read from prod environment, but write to dev environment, which necessitates two clients. Thanks.
Get active and reach the top!
The weekly leaderboard is refreshed every Monday. Make an impact in the community and score high!
To receive our newsletter Cognite Hub News, sign up from your profile card.
Read our product documentation.
See the latest status updates on our services.
Cognite Support is available 24/7.
Check the
documentation
Ask the
Community
Take a look
at
Academy
Cognite
Status
Page
Contact
Cognite Support
