Hello everyone! It is a pleasure to become a member of this community! I'm learning a lot and I hope I can collaborate with all of you guys!
How does asset hierarchy work in CDF?
Hi,It would be great to have the creation of an endpoint based on the one below:https://api-docs.cognite.com/20230101/tag/Time-series/operation/getMultiTimeSeriesDatapointsCurrently, this endpoint allows requesting multiple items in a single call and returns the next page individually for each requested item.For Celonis’ REST extractor, this pagination model creates a limitation, as the platform works better with individual pagination, where each response contains only one component and a single pagination continuation token.Today, to enable this extraction, a Python-based workaround is being used within the environment, since the current model is not compatible with the standard extractor.We would like to check if it is possible to make the endpoint available in a more individualized format, with one time series per response, or if there is already an alternative endpoint that supports this scenario. This would greatly help improve the standardization and stability of the integration.
The checklist generated from an AO does not display any Work Order Number.In the example shown here, the AO ID is 30002314, but this is not visible in the checklist.For better usability, the AO reference should be clearly visible directly in the checklist, so users do not have to click into other objects for more information.The key need is to quickly and easily identify which work order the checklist belongs to.If we can add this as shown below in red it would be highly beneficial.It is possible to see the work order number clicking on the work order header. But the WO-number is needed quite often to indicate which check list it is and having it available reduces the amount of clicks for the end user. Additionally, the number is relatively short, and therefore does not take up much space.
When opening trends for a transmitter, the width of the Y-axis seems to be set up randomly. An example is shown below. Here, the Y-axis goes from 15-35, while the range for the transmitter is from 0-100. We have range data from LCI available to be able to set up the Y-axis as standard. Here is an example for the transmitter: (Upper limit 100, lower limit 0)The request is to use 'Calibrated Range Max' and 'Calibrated Range Min' to set up the Y-axis on the trend window to avoid the user having to adjust it each time.
As of now, CDF are unable to change the value of x-axis to other than time. This is an issue as many engineering analyses involve plotting variables against pressure, temperature, flow rate, or composition,
The “Compare trends” function in the trend view is a great functionality to compare different trends. Today the Y-axis of the graphs does not align when comparing multiple trends. For example in the trend view below, the Y-axis of the purple trend is way higher than the axis for the blue trend line. 45% and 100% is placed at the same position. It is possible to manually zoom in and out on the Y-axis and then align but it would be better if there was a way of aligning Y-axis on a more user friendly way or alternatively that the axis are lined by default :-)
After you have successfully completed the onboarding training with Cognite Academy, we are eager to hear back from you. Let us know how much the training helped you cope better with CDF and feel free to share your impressions or insights with other peers on Hub.
what are the typical use cases that Cognite AI can solve Integrated Supply Chain challenges?
Hi,We're using the Cognite DB extractor (version 3.9.2) with a MongoDB database (Azure Cosmos DB via the MongoDB API) and are trying to set up incremental loading.The documentation for mongodb (https://docs.cognite.com/cdf/integration/guides/extraction/configuration/db#databases.mongodb) doesn't mention the use of start_at and incremental_field but after testing them and looking at the debug logs, we can see the extractor sends the {start_at} placeholder literally without substituting the state value. My questions are: 1. Is start_at substitution supported at all for MongoDB JSON queries, or is it SQL-only? 2. If incremental loading is not supported for MongoDB, is there a recommended workaround?Thanks.
At the moment, I believe users cannot see which users in their organization are using which CDF features, nor how they are being used.Would it be possible for users with administrator privileges to access this kind of information?If this were available, it would enable us to consider measures to make better use of CDF based on actual usage patterns within our organization. For example:A certain department frequently uses Charts but rarely uses Canvas, so we could interview them to understand the reasons.Specific features of Charts or Canvas are hardly being used, so we could improve the documentation and promote their usage.Although they are not very vocal and we had not noticed before, it turns out that Mr./Ms. △△ is actually a heavy user of CDF, so we could identify them as a key person.If there is already a way to obtain such information, we would greatly appreciate it if you could let us know.
Hi EveryoneWe're looking for guidance on the best approach to bulk-download file contents from CDF. We have approximately 295000 files across several datasets that we need to download. We've tried the Cognite Toolkit CLI's cdf data download files --include-file-contents, which works but has a hard limit of 100 files per invocation and requires manual filtering to stay under that cap which is not feasible at our scale.Questions for the community:1. Has anyone done bulk file downloads at this scale? What approach worked best?2. Is cognite-cdffs suitable for ~295k files, or is the SDK with manual batching more appropriate?3. Are there any rate limits or throttling considerations at this volume?Thank you in advance!David Shaji George
In the InField app, it is possible to add comments to photos and videos when uploading them, but it is not possible to specify the file name.The file names appear to be (probably) inherited from the default names assigned by devices such as iPhones or Android phones. In most cases, even when checking the file name later, it is difficult to tell what the file actually contains.For this reason, I believe that having a feature that allows users to freely change the file name at the time of upload would be very useful for utilizing the information later.
For metadata on assets (and other object types) in the app UI, the text is capped even though there is a lot of white space. Inconvenient when viewing it on a big screen and expecting to be able to see the whole string.
I uploaded a PDF maintenance manual into Cognite CDF using:client.files.upload(...)The document is successfully indexed by the Documents Engine.I can confirm that:- client.documents.retrieve_content() works- client.documents.search() returns the document- last_indexed_time is populated- truncated_content contains extracted textExample document metadata:{ "id": 3652062792350259, "external_id": "HACTL_CSS_Manual", "name": "HACTL_CSS_Manual", "title": "Hactl.md", "mime_type": "application/pdf", "last_indexed_time": "2026-05-06 14:57:28.531+00:00"}However, Atlas AI still responds with:“I could not find any uploaded maintenance manuals related to wheel carriage troubleshooting in the system.”Questions:1. Does Atlas AI automatically use Documents Search semantic indexing from files uploaded with client.files.upload(), or does it require CogniteFile instances + upload_content()?2. Is Atlas AI document retrieval based on: - Documents semantic search - passages/search - or instanceI
Hi, I am struggling trying to find my the description field is empty "-" for my assets (in Data Management > Data explorer > Assets. Looking for the problem I verified the followingsuccessfully imported data into RAW (seen under Data Management > Integrate > Staging) successfully ran transformations on the RAW table and populated CogniteAssets (seen under Data Management > Data models > Data Management > CogniteAsset) Any advice would be helpful?
Once a calculation created in Charts is saved and scheduled (thereby converting it into a time series), the associated metadata becomes fixed. This includes attributes such as units, name, and refresh interval (e.g., 1 minute, 1 hour, 1 day, 1 month).For example: Some calculations were saved and scheduled with a 1-minute refresh frequency. However, no data appears after scheduling because the underlying PI tag does not produce data at a 1-minute interval. To correct this, the refresh frequency would need to be changed to 1 hour or 1 month—but this is currently not possible. The only workaround is to delete the generated time series, redo the calculation, and save and schedule it again.
As per current condition, there is no labelling capability can be made in CDF Charts. Many charts have been created to support Canvas but to navigate to each chart to monitor the data or calculation that has been done is difficult since there is no labelling can be done on Charts (like canvas).
How are .nwd and .lfa files rendered in Cognite Reveal? Does CDF already convert .nwd and .lfa files in a lossless way, without losing any node or asset metadata? Is is converted to .glb/.gltf file types as conversion output?What happens if we use raw Three.js instead? How can we work with .nwd files in that case? Three.js doesn’t support .nwd files directly, right?Is it necessary to convert them to .fbx or .obj formats? Wouldn’t that result in a lossy conversion, potentially causing loss of metadata, asset hierarchy, or textures? How do we use .nwd and .lfa files for show warnings or overlays?
I follow the Docments for binding files in CDF(client.files.upload_content)After uploading, AtlasAI is indeed able to use the content.However, this file seems to be a chunked TXT document generated from the customer document. I believe this TXT file should follow a certain structure, but I could not find any documentation describing the expected text content structure in the help docs.Is this an industry-standard format, or is the file_content structure arbitrary?It seems that the completeness and quality of the chunk file directly determine the upper limit of AtlasAI’s intelligence and response quality.
Hi CDF community, during setting up my data sources to follow the part 2 training in CDF-fundaments, I receive an error message during creation of the database. Pls can you assist me on how to continue ?
We've just released v4.5.0 of the Cognite Data Source for Grafana, with a focus on making Core Data Model (CDM) the default path for new dashboards and bringing operational context (Activities) into your time series charts. This release builds on v4.4.0 and consolidates several capabilities that make Grafana a stronger fit for teams already working in CDM, or planning to migrate.What's new in v4.5.0Activities tab - a new query tab that lets you query CogniteActivity records directly in the editor, with filtering by Asset, Equipment, or TimeSeries. No GraphQL required. Activity annotations - overlay activities as shaded time regions directly on CogniteTimeSeries charts. Useful for visualising maintenance windows, planned downtime, or operational events alongside sensor data. Numeric time series auto-detection in the Data Models (GraphQL) tab - results with type "numeric" automatically fetch datapoints from CDF, removing a manual step in dashboard setup. Config editor overhaul - settings
When we’ve tried to update to python sdk v8 we get a 400 validation issue when we try to create a container.We’re currently using v7.92.0, where we have no problems. We’ve tested versions v8.0.7 and v8.2.0.client.config.api_subversion is ‘20230101’ for both 7.92.0 and 8.2.0.Here is an example of a request that fails with: Unexpected field - items[0].properties..constraintState.constraintState seems to be a new property for v8 of the api.ContainerApply( space="Space", external_id="Comp", name="Comp", used_for="node", properties={ "manufacturer_name": ContainerProperty( type=Text(), nullable=True, ) })I notice also that the CDF Jupyter notebook in browser is still on v7.92.0. Is there potentially any other issues preventing an upgrade to v8? Best RegardsDaniel Rasmussen
When you select “Open in canvas”, the list of existing canvases includes all public canvases. Users need a quick way to filter down to just their canvases from this screen.
Currently when filtering with certain column on Cognite Industrial Tool Search we have options to filter byIs Equal to Is not Equal to Starts With Doesn’t start with Is set Is not setCan we please add another option “Contains”?This would significantly improve the ability to filter data and files on text-based fields such as Title and Description, enabling more flexible and effective search capabilities.
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