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Redirect user to the Canvas after they, for example, add a file to an existing Canvas from Search, or add a chart from Charts.
Hello,When using CDF the toolkit, for example, we need to write group capabilities as JSON.To retrieve the group capabilities in a JSON format, we currently have to go to Developer Tools > Network, select the right request and get the JSON.It would be nice if we could just download the group manifest (like we can do for transformations) directly in the UI.
Cognite Infield offline mode should allow for manual entry of date/time stamp. At present it seems to take the timestamp of when the connection is back online. Which may result in multiple values for the same time stamp especially if the network connectivity is lost for longer than the checklist usage frequency.
On behalf of Celanese Bishop users:In some units, we have several equipment that operate in spare: while one is working, the other is stopped and periodically they switch. Roughly, half of the equipment in each unit operate in this condition. During the rounds, the operators have to take readings from the equipment that is working at that time. What we have done so far in Infield is creating tasks for both of them, but this leads to around a quarter of the readings to be set as “Not applicable” or to be left empty. Both options are far from ideal: while the first could detract from the user experience and potentially introduce additional barriers to adoption, the latter creates confusion when delving into the details within the summary dashboards (in the lines of “were these tasks left empty intentionally or they are just missing?”). Therefore, we request an improved way of configuring these checklists, so the operator can just set which equipment is operating and the readings will be taken only for this equipment. The spare one, ideally, would not have any readings to take.
This extra step could be solved by having a dedicated URL or something similar. Will this be solved with Q1 unification? CDF does not require this step, to my knowledge.
If the status flag timeseries has fewer data points than the main timeseries, it prematurely cuts off the calculated timeseries. Can you make the output of the status flag filter stop producing results only when the status flag actually turns off?Without status flag filter function (for reference):With status flag filter, output stops prematurely:
Hi, could you as part of the Atlas AI add ai-assistant for the developers as e.g. Anthropic does with Claude? https://x.com/alexalbert__/status/1842264947012833465Thanks
Seeing as how all functions available in a calculation is defined in Python, perhaps a complete calculation (all nodes) can be exported to an executable python code. I am just throwing this out there as an idea; I have not thought a lot whether this is difficult/useful. One use case could perhaps be to prototype something in Charts, and then use exported code as a starting point for building something in Python. Regards,Anders Brakestad
As per title
Title
As discussed
Remove a timeseries through the user interface when they are stored as table
When viewing equipment in 3D browser, and then zoom it and change the view exactly how you would like… Now add a button to send this current view point to Industrial Canvas. The is possible in ‘Data Explorer’ version, would like this in the ‘Search’ version too.
Would like to be able to add a 360 image to Canvas. To work around, I open 3d viewer, take a screen shot, save it locally, then drag it in. Would like built in functionality.
Currently on the PI extractor configuration file you can specify the end timestamp for the backfilling of a timeseries by using the “to” parameter on the backfill section of the configuration file. What we would expect is to have something relatively close to this set date. However, the docs say that it can overshoot by the amount of datapoints specified on the filling chunk size, this results in over-ingestion of datapoints. We would like to have a way to control the backfilling more precisely since we currently cannot limit the overshooting of the backfilling without also affecting the front-filling given that both depend on the same data point chunk size parameter (cdf-chunking>data-points).
We need the Quality indicators (data point states) in the CDF front end tools, charts etc.Is this something that is available or possible to configure? Examples in the screenshots.
When using Data Explorer, if you click on an Asset, that branch will expand, and others will minimize. Sometimes I want to be able to switch between similar Assets that are in different hierarchies (Example being two different lines in a plant, or two different facilities). The current behavior is that if you click on an Asset all other asset trees will be minimized. Even if you manually expanded other hierarchies/trees, clicking an asset will reset the view.Would be nice to either have an option (checkbox) to auto-minimize or change this default behavior. Example Tree:Plant 1: Tank1 Mixer1 Press Plant 2: Press Mixer Oven Tank If I were to click on Plant1>Tank1, all of Plant 2 would get minimized. If I were to expand plant 2 manually then click on Plant1>Tank1, again then Plant 2 would once again get minimized. Ideally I’d like for Plant 2 to stay expanded until I manually minimized it.
The ability to pin latest values to a drawing in canvas is fantastic, but on most our assets we have more than one timeseries linked to that equipment. Is it possible to add the ability to pin several timeseries to the same equipment. Also to pin additional timeseries that is not contextualized to any asset on top of a document/file/drawing.In addition for consumers of the content the context of the value is needed, so we need the ability to show units like in the old infographics.
We request the introduction of an auto-reconciliation feature for the Cognite DB Extractor. Currently, we face significant issues with data synchronization between our source systems and Cognite. When physical deletes occur in the source tables, these deletions are not reflected in Cognite, leading to outdated or incorrect data residing in our Cognite environment. This discrepancy is resulting in data integrity issues and misinformed decision-making.To address this, we propose a feature that automatically detects and reconciles physical deletes from the source system, ensuring that these changes are promptly reflected in Cognite. This enhancement should operate with minimal latency, ideally processing updates within minutes, to ensure that our data remains accurate and reliable. Implementing this feature will streamline our data management processes and maintain consistency across systems.
When a user logs in from a mobile device (tablet or phone), the application should auto switch to mobile mode. Or create a mobile friendly link that starts with “m.infield” etc.
On behalf of Celanese Charts super users:I would like the ability to add comments on specific time series data points. This will help to provide additional context and promote collaboration when troubleshooting using charts. This is a supplemental feature request to the request below. Charts: Marker Placement on Timeseries
In the asset detail view, listing files in alphanumeric order would make it easier to find files, especially those with the same name but different file types.
There is a “print” button for files found via Search, but would also like to have a “download” button. I’ve been telling users to download by pressing print and then download, but this is a temporary work around.
I have on several occasions have wanted to make the line widths for all TSs in the Chart larger. It gets tedious doing this manually for 10+ TSs, so why not have functionality for applying certain formatting options to multiple TSs? Line widths, colors, line styles, granularity (if implemented), etc. Regards,Anders Brakestad
To analyze the particular time period / multiple time periods freeze the display pane in charts might be helpful.For example : An option to visit specific days such as (15th June : 4.00 pm to 7.00pm , 10th June 10.00am to 12th June 1.00 pm)A feature to come back and visualize saved/ marked timeframes will be helpful in pattern recognition or analyzing specific events
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