Community Discussions

RequestTo improve business continuity and operational stability, we would like to request your consideration for developing official applications within InField that provide the following capabilities:An application that can export individual inspection forms in both CSV and PDF formats. An application that enables approval of individual inspection forms and allows users to view and track their approval status.BackgroundCurrently, we operate a workflow in which inspection results are entered through InField, exported using a Streamlit application, and then submitted for supervisor approval through another Streamlit application.Under normal circumstances, this workflow functions without major issues. However, due to a Streamlit application issue that occurred yesterday, the workflow became temporarily unavailable. To the best of our knowledge, this is the second occurrence of a similar issue this year.In addition, since Streamlit is currently provided as a preview feature, we have conce

 SummaryEnable aggregation operations (such as step_interpolation) on requests containing both numeric and string time series in the same SDK call.Currently, aggregation works correctly for numeric time series, but the request fails when a string/alphanumeric time series is included alongside numeric series. This limitation prevents users from retrieving synchronized operational datasets that combine process measurements and categorical/status information in a single query.Problem DescriptionWhen using the Cognite SDK method retrieve_dataframe() with aggregation enabled, requests containing mixed data types fail if at least one time series is of type string.Example:Numeric-only aggregation → works correctly Numeric + string aggregation → failsThe expected behavior for string time series using step_interpolation is to replicate the last known value across the aggregation interval, similar to how industrial historians such as PI System behave.Example Use CaseOperational dashboards and an

When dropping a file from your desktop/drives into Canvas, the file size increases. As one example, it went up 30 times; from 84kb --> 2520kb (without the canvas coverpage). The file size change makes it difficult to download the canvas, as it gets stuck. The end users cannot download the canvas they create and therefore are prone to stop using the platform. 

Documents that are most important for the technician should be listed first, e.g. P&IDs (XB). 

Hello Cognite team,First of all, thank you for your continuous development and improvements to CDF.I'd like to share one feature request based on our daily use of Charts and Canvas.Our use case In our long-term operation monitoring work, we create multiple Charts for different monitoring items and paste them onto a single Canvas, so that we can monitor many Charts together in one place.The issue The ability to select multiple Charts on Canvas and change their display period all at once is very convenient. However, when we open the same Canvas a month later and refresh to the latest data, the start time stays fixed at the point we originally set. As a result, the displayed time range keeps getting wider and wider over time, instead of showing a consistent window.What we'd like We would like a feature that lets us refresh Charts using the same fixed period — for example, a rolling window of the last 1 month, 3 months, or 1 year — so the time range stays consistent every time we open the

Hi team, I'd like to submit a feature request. Request In Charts, a line is only drawn up to the point where a value is registered in the time series. I'd like an option to draw a horizontal line from the last value up to the current time (NOW). This is especially an issue in calculations. When a formula uses multiple time series that are registered in CDF at different times, the series that ends earlier is plotted only up to its last value, so the calculation result is cut off there. I'd like to avoid this. ExampleGiven two time series Ts_long (up to today) and Ts_short (up to 2025/04/01), using them as calculation sources pulls the output toward the Ts_short time axis, so nothing is displayed after 2025/04/01.Reference テスト Copy（工務 久保田） | Cognite Data FusionCognite Hub

Allow Custom Symbols for Dataset CategoriesWe would like the ability to assign custom icons or symbols to datasets rather than using the standard black dot that is displayed today.Allowing unique symbols would help users quickly distinguish between dataset types, sources, or business contexts, making the search results easier to scan and navigate. This would improve usability, particularly in environments with a large number of datasets.Expected BenefitsImproved discovery of newly added datasets Reduced user clicks and navigation friction Better visibility into available search content Faster identification of datasets through visual differentiation Improved overall search usability and adoptionThis enhancement would make the search experience more visually intuitive for end users. ​@Andrew Montgomery 

To keep clean structure in Charts monitoring jobs.

The current Cognite Grafana Plugin supports Time Series, Activities, and GraphQL-based queries, but does not provide native access to Records and Streams.As Records and Streams become increasingly important for data ingestion and operational use cases, native support within the Grafana Plugin would enable a more complete and consistent visualization experience directly in Grafana.Requested enhancement:Native querying of Records and Streams from the Grafana PluginSupport for filtering and visualization of Records dataIntegration with Grafana panels and dashboards without requiring intermediary services or custom pluginsThis enhancement would simplify data consumption, reduce implementation complexity, and improve the usability of Records and Streams across operational monitoring and reporting scenarios.

Hi Team,In regards to Cognite Data Model UI we understand that the below features are currently not supported and would like to add them here as a Product Idea requests -Reorder the Sequence of the Views listed in Cognite Data Model UI. For example, Under "Assets" category we have 1) Piping Tag 2) SAP Assets. We would want the "SAP Assets" View to come first followed by the "Piping Tag" View. This would make easier for end users by having important and frequently visited views on top. Also, would reduce the number of clicks a users has to make to get the the required data - for example in Canvas when we want to "Add Data", the default category is set to "Piping Tag" and user has to switch to "SAP Assets" to get to the right view.   Option to HIDE some of the views from the Data model UI main/home/landing page. Most of the Views need not be accessible from the Data Model main page and can be accessed through relationships. For example - Under "Activities" category we currently have 11

Hi team,I'm a Cognite Data Fusion (CDF) user, and I'd like to submit a feature request regarding scheduled calculations in Charts that write results to a time series tag.Current behavior (as I understand it) When you set up a scheduled calculation in Charts to store results as a time series, the calculation only runs from the point the schedule is configured onward. It does not compute results for any period before the setup time. I confirmed this behavior in the following Hub post: 🔗 Cognite HubWhat I'd like to see I'd love an option to backfill / calculate historical data retroactively, so that the scheduled calculation can also produce results for the period before the calculation was created.Why this matters With this capability, we would be able to go back and review historical data as well, not just data going forward. This would be very valuable for our long-term monitoring and trend analysis, where being able to look back over past periods is essential.Thank you very much for

**Component**: OPC-UA extractor · `EUInformation` handling **Current behaviour** (confirmed by Cognite): the extractor never reads `NamespaceUri` or`UnitId` from `EUInformation`. The only value that reaches any config surface is thecomposed `DisplayName: Description` string. The UNECE code is dropped before`metadata-mapping` can see it, so `unit` / `unitExternalId` resolution to a`CogniteUnit` from the source unit is impossible today and is not planned. **Request**: carry `UnitId` through, and resolve the CDF `unit` direct relation from it. **Why it matters to us**: across our fleet the `unit` direct relation is populated on**0 of 2772** time series, while 528 of 854 at one line carry the composed string in`sourceUnit`. The only path available is post-processing that string-matches against theCDF unit catalogue. That is brittle in exactly the way a code-keyed lookup is not —`kW·h: kilowatt hour` has to be parsed and matched by display text, and it will differby server locale, by punctu