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I would like to know the benefitS of implementing UNS architecture in CDF. A detailed guide would be excellent to show how to implement it in the oil and gas refinery with all the prerequisites and third-party platforms along with that.
In my CDF instance, I am unable to get the Python Kernel active/ready to run in my instance. The status remains “unknown” even after resetting the kernel several times. Additionally, I tried to restart my PC, browser instances, and tried on several different browsers (Edge/Chrome). I understand that this may be a configuration issue for my company or local PC settings but trying to troubleshoot the issue. Cognite support requested I create a discussion here to troubleshoot more.
Hii Team, I'm looking solution for below problem. Currently we have build our custom model using core data model. we have timeseries available in cdf.timeseries resource. Now i want to provide timeseries reference in below view using transformation. Can anyone suggest how timeseries concept is worked in core data model using transformation. type TimeseriesProperty implements Property & CogniteTimeSeries & CogniteDescribable & CogniteSourceable @view(version: "2_1") { name: String source: CogniteSourceSystem entity: Entity sourceId: String sourceContext: String sourceCreatedTime: Timestamp sourceUpdatedTime: Timestamp sourceCreatedUser: String sourceUpdatedUser: String isStep: Boolean! type: CogniteTimeSeries_type sourceUnit: String unit: CogniteUnit assets: [CogniteAsset] equipment: [CogniteEquipment] activities: [CogniteActivity] acquisitionPeriodTimeZone: String isAggregated: Boolean! isAggregatedAtSource: Boolean aggregationMethod: String isString: Boolean @default(value: "false")}
I have set up the Cognite Pi Extractor on a virtual machine and am running into errors in the log: Fatal error in request of type "CreateTimeSeries": Unauthorized. Unauthorized RequestId: , CDF Message: Unauthorized I have checked that the client_id and client_secret being used in the config.yml have the ‘time_series: write’ capability for this project. Additionally, I have confirmed that the client_id and client_secret can be used with the python sdk to create timeseries in the project I am working with. Any ideas where I am going wrong?
type FTAC_ActivityLog { Site: String AddDate: Date ActionComments: String VersionNumber: Int64 UserComments: String Label: String AssetId: String ActivityDate: Date Action: Int64 ActivityLogId: String SortOrderId: Int64 User: String VersionId: String AssetPathId: String} I have a mode as above I want to do the aggregation function for the user per site statistic. how do I prepare my aggregation query, I am new bee for this, by looking for the https://docs.cognite.com/cdf/dm/dm_graphql/dm_graphql_querying aggregation section, quite confuse.
I’ve had the OPC-UA extractor running for a couple of months with no issues. On Feb 19 it stopped pushing data to Cognite properly. According to Charts, it started pushing again on March 6. As I write this it is March 3rd. The data goes out thru June 2025, The host machine w/extractor has been restarted. The OS date/time looks correct. The log file has the correct date/time. I’d appreciate some advice.
How is Agentic AI used in Cognite. Are there any use cases where Agentic AL is being used in the oil and gas industry?
Hi, we have quite a number of timeseries which have externalIds with spaces. Unfortunately this throws off the search algorithm of the data explorer (and also in charts when adding new data). Disallowing fuzzy search (which should not be necessary since we *know* the externalid we are looking for) yields no results. Why allowing fuzzy search for the name will give back almost all timeseries not even remotely related to the timeseries we are looking for. I tried placing quotes around the externalId without any success. Is there any way to protect the spaces in the name or to get the search to match externalIds including the spaces?
Can we use azure document intelligence in CDF documents and if I have CDF access then do azure services are free or not as AAD is assigned while creating account?
Hello, Could we define default filters, locations, column list in search UI to not redo the same work every time we connect to industrial tools search UI. Could you please transform this into a feature request if this is not available today? Thanks
Hello team, We have tried to query Entity view which has a property properties of type view Property which is a reverse direct relation. We are using the query endpoint and the instances.query() sdk method to do so. We want the details of properties to come in the select object of Entity. Providing the query below: { "with": { "0": { "limit": 50, "nodes": { "filter": { "and": [ { "matchAll": {} }, { "hasData": [ { "type": "view", "space": "slb-pdm-dm-governed", "externalId": "Entity", "version": "1_7" } ] }, { "or": [ { "equals": { "property": [ "node", "externalId" ], "value": "fba80a5d3b994db698e74b77fb96f1de" } } ] } ] } } }, "0_6": { "limit": 10000, "nodes": { "from": "0", "through": { "source": { "type": "view", "space": "slb-pdm-dm-governed", "externalId": "Property", "version": "1_7" }, "identifier": "entity" }, "direction": "inwards", "filter": { "and": [ { "matchAll": {} }, { "hasData": [ { "type": "view", "space": "slb-pdm-dm-governed", "externalId": "Property", "version": "1
Hi, I need to add the capability for read/write Timeseries Subscriptions. We are using CI/CD via the Cognite Toolkit. There is no documentation of the different capabilities for this, so I am unsure which Acl to use. I have tried “timeseriesSubscriptionsAcl” and it did not work. What is the correct Acl for Timeseries Subscriptions? Where can I find this documentation? If documentation for this does not exist, can it be created?
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