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We have released a new course dedicated to building reliable, industry-grade agents within Cognite Atlas AI.This course is your starting point for building, configuring, and deploying Atlas AI agents in Cognite Data Fusion. You will gain a comprehensive overview of how agents function, how they connect to industrial data, and how to leverage them for smarter automation and decision-making.This course focuses specifically on how to build agents that adhere to strict operational logic suitable for your use-case and industry standards. We demonstrate how to properly configure tools, select the right models based on reasoning benchmarks, and use the instructions box to enforce standard operating procedures.Key topics covered in this course:Tool Configuration: How to grant agents access to CDF data through specific tools, creating an assistant that genuinely understands physical assets. Model Selection: Utilizing industrial benchmarks to select the right models for complex reasoning and pre
An old version(v1.0.something) of PI extractor was setup in a production environment. We stopped that version for about a month and then installed the latest version v4.14 in a new VM. We have specified the backfilling and front filling settings as below but we still can’t see the historical data in CDF, any ideas what would have happened?frontfill: skip: false streaming-interval: 5 delete-data-points: false use-data-pipe: truebackfill: skip: false step-size-hours: 0 to: 0
When doing the exercise “Valve mileage use case” of the Domain Expert training in CDF, this error appears (in Portuguese):It says:Competências necessáriasEntre em contato com seu administrador do CDF para solicitar as seguintes competências: timeSeriesAcl:WRITEIn English:Required SkillsContact your CDF administrator to request the following skills: timeSeriesAcl:WRITE Basically, someone should give me the timeSeriesAcl:WRITE permission. But who?
How can we get access to work hands-on with the learning path athttps://cognite-learn.fusion.cognite.com/cdf-fundamentals/data-models?cluster=api.cognitedata.com&workspace=data-management?If not, how can we practice hands-on with Cognite Learn?
Hello everyone,I observe a difference in behavior that I cannot explain.My input data, few datapoints, and before the value is 0, timeseries.is_step = TrueInput datapointsWith client.time_series.data.retrieve, behavior is as expected :And with every granularity results are okay as expected.Nevertheless, with client.time_series.data.synthetic.query it’s… different.that’s okthat’s okNot ok, why the result is not 2 groups : from 46 to 49 then 49 to 52 ? another wrong exampleWhy the start timestamp is 48 and not at 46 ? Again, the timeseries endoint is good : I have lost hope.If anyone has anything to try or an explanation, i’ll be grateful.Thanks in advance,Pierre
Hello,Please reset my mfa account.nbhatewara@slb.com Appreciate.
Hi All,I have a large production records data set which i am utilizing to create reports using GraphQL queries.I want to perform DESC sort to fetch the latest records for which i am using default ‘StartTime’ property(This property is derived from Schedulable Container). But system is generating this warning : "The sort is not backed by a cursorable index, which means query time sorting is necessary, which in turn means a lot more data must be read. Consider whether a cursorable index is a good fit."What’s the best way to approach this so that i can fetch large data sets with improved performance?Should i make a custom DateTime field as cursorable ? What are the impact of this ?
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.
Hi everyone! 👋 Join us tomorrow to see the results of our "Hack for Impact" challenge. We are hosting Tridiagonal.ai (presented by @Dinesh Makked ) and SLB (presented by @Aditya Kotiyal) to present the winning concepts they developed for "Smart Operations" and "Cognite Vision."This is a fantastic opportunity for the community to: Celebrate the creativity and hard work of your fellow community members. See the specific approach these teams took to build their solutions. Hear the story behind the project directly from the creators. Hope to see you there! 🗓️ Thu, Jan 15 @ 3:00 PM CEST 👉 Register Here
I have Cognite Hub Account configured in Authenticator App on my phone since some time. Recently I have installed the Authenticator also on an iPad. The CogniteHub account appears on the list , however it wants me to log in. And I can’t remember the password. Is there a way to get the password from the Authenticator on my phone?
Hello, We have a very big CDF workflow with many parrallel steps. When a step fails, all the steps fails with “404: Session was not found.” (because the failing step deleted the session) all steps are market as failed. It makes debugging and finding the real failing step very tedious ! Any improvement planned for this? Any workaround? Thanks
Are there any extractors or connectors to seamlessly integrate Cognite CDF and Aspentech Mtell?If not, have you discussed approaches for that integration, and whether one of them should involve using Aspentech DataSource Interfaces to connect via Aspentech ODBC Datasource, Kafka Datasource, or MQTT Datasource?Please also share any other approaches you may have discussed for seamlessly integrating CDF and Aspentech Mtell.
Lineage doesn’t work. You click on it and it shows for 1 second, before you get this screen. Multiple people gets the same error.
In Charts, when choosing a core data model as your source, Events are disabled preventing the choosing of core model “CogniteActivity” as “events” to overlay timeseries data from CogniteTimeSeries.Is this functionality on the roadmap and if so, when can we expect?
Hi community,I’m learning to use the /models/instances/query endpoint (with Open Industrial Data, public project) and experiencing some confusion about how cursors and pagination work.{ "with": { "cities": { "nodes": { "filter": { "and": [ { "exists": { "property": [ "Geography", "City", "name" ] } } ] } } }, "continents": { "nodes": { "filter": { "and": [ { "exists": { "property": [ "Geography", "Continent",
We’ve setup an MQTT Hosted Extractor that is recieving a SparkPlug B payload which some times contains a couple of null values, this values cannot be removed from the SparkPlug B payload. We believe that whenever the message contains null values the transformation for the datapoints fails.No more information is provided on the Transform Error, only the “Failed to transform data: Missing required field value”, could the null values just be ignored so the other values be inserted in the time series? We’re getting several empty time series that were created via the hosted extractor.
Is there an alert or notification that can be configured when the MQTT hosted extractor is down? Been having issues with Request to CDF failed with error Error in middleware: Failed to authenticate request This error is resolved by creating a new sink, however we don’t get a notification of any kind when the extractor is down.
I’m working with the PI AF Extractor and facing an issue with Table Lookup attributes.The Table Lookup attribute itself is being extracted correctly into the attributes table, but the value column always comes as “no data”, even though the attribute resolves normally inside PI System Explorer.I would like to know whether there is any supported way to extract the evaluated Table Lookup value using the PI AF Extractor, or if the extractor does not currently resolve Table Lookup references during extraction.Has anyone faced this issue or found a recommended approach to retrieve these values through the extractor?
We are thrilled to announce the next evolution of your user experience. We’ve unified our ecosystem to help you master your industrial data without the friction.What’s new? One Identity: We’ve merged Cognite Academy and the Community. One login for everything. Unified Search: Find How-to guides, discussions, and courses in a single search. Guided Careers: New role-based learning paths, starting with the Data Engineer path! 👇 Read the full announcement here:
What are the licensing terms and conditions for using Cognite's Open Industrial Data? Could you please provide a link to these terms and conditions?Thank you.
Hi Team,I'm using the Cognite Toolkit to test the CDF download raw functionality. I’ve observed that the download process fails when the staging database name contains a special character such as :.For example, if the database name is state:odbc, the cdf download raw command fails because it attempts to create a temporary folder with the same name as the staging database. Since : is not a valid character for directory names, the folder creation fails.Additionally, when I try to download the raw data from another database (without special characters), three files are created in the temporary directory:.Table.yamlManifest.yamlRawRows.ndjson.gzCould you please confirm if the RawRows.ndjson.gz file is expected, or should the output be in .csv format?
I am going through the course Match entity python sdk , there one notebook in section “How to succeeded with this task ” .But the link is not accessible . Please can some one guide in it. https://cc.sj-cdn.net/instructor/hhi6o3bc6ve-cognite-academy/assets/1688105749/Entity_matching_notebook_copy.ipynb?response-content-disposition=attachment&Expires=1763969235&Signature=dX1a9jxYTvcqFQ7jWIhNing8AxVk9r~60Tm4ZFWuvUK232AuM7mIg4StnYkk~MwaarbraKyfxE0O4BFm8VQbKFsEzgjeIDufqRvP5XEDH4X9aTC0XY5YR1l8iJeNmU2ebqWArryM8296eFNOVtPsNdIPOGWIaDz2xdqQ2rkncm4Zo-awiI7u~VFf~83tTN10ZiLuoTBqa2hurinAD5W3Igo4HlRQG109N9PVBkL7fO2ZeyjHhbRqBtxXrU8um0u6l4fcHJRb1CL9sWHEjouuK55CTf4iIK~057XQM9yx6ylK8FWD9EuT3ayDmgdwXx~FPhKPNpdBaxWIcKj3VrEERw__&Key-Pair-Id=APKAI3B7HFD2VYJQK4MQ
Issue SummaryCreating `CogniteFile` instances in Data Modeling Service (DMS) automatically creates unwanted "ghost files" - duplicate file resources that are incomplete and have no external_id, no dataset_id, and no content. This causes the Diagram Parser UI to display incorrect file IDs and show "Files not uploaded" errors. Environment- Project: tridcognite-sanbox- Cluster: aw-was-gp-001.cognitedata.com- Dataset ID: 1242342447467142- Space: diagram_parser_space_1- Data Model: diagram_parser_data_model_1 (version 1)- Python SDK Version: 7.78.0---Methods Used:Method 1: SQL TransformationINSERT INTO cdf_cdm.CogniteFile(v1)SELECT CAST(externalId AS STRING) as externalId, CAST(name AS STRING) as name, CAST('application/pdf' AS STRING) as mimeType, CAST(TRUE AS BOOLEAN) as isUploadedFROM `Diag_Parser_Cement`.`parser_files_staging`WHERE externalId = 'cement-parser-file-crusher-pid' Transformation Configuration:- Destination: Instances- Space: diagram_parser_space_1- View: cdf_cdm.Cogn
Hello,When testing the new Diagram Parser tool on Vector PDFs, I found that it successfully finds some Assets ingested in the DMS and Symbols from a selected library. However, the Assets only show up as annotations even when verifying them. How can I get the suggested Assets to link to the Diagram in the DMS (i.e. open the diagram and see Assets directly linked to the diagram)? Thanks,Gabriel