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I need to be able to create a checklist that spans multiple people/roles to complete so that I capture the full workflow. @Andrew Wagner @Mike Hammons
We are creating various types of templates in Infield, such as routine equipment inspection checklists, equipment checks, and plant start-up checklists that are only carried out during plant commissioning.The checklists issued from these templates are currently displayed mixed together, but if filtering can be done according to the type of template (for example, route inspections, equipment checks, start-up checklists, etc.), inspectors will find it easier to select the checklist, and it will also be easier to search for the desired checklist later when reviewing.
There is only one discipline that can be set per user in Infield, but I would like to be able to set multiple disciplines.For example, field staff set the equipment they are in charge of (Equipment A or Equipment B or Equipment C etc.) as their discipline, while their supervisors need to check all the equipment (Equipment A and Equipment B and Equipment C etc.), so they end up having multiple disciplines. At present, we change the discipline as needed for operation, but it would be nice if we could set multiple disciplines from the start to avoid the inconvenience.
The Power BI REST API Connector today only auto‑paginates responses that include a single, top‑level string cursor. However, queries against the /models/instances/query endpoint return a top‑level cursors object, which isn’t currently supported. Since this endpoint is widely used, adding native auto‑pagination for its responses would greatly simplify integrations.
Currently in our Charts instance, if I want to add additional PI-Tag data from the relevant P&IDs, by clicking on the P&IDs icon, it doesn’t automatically load the drawing. I have to select the correct category and then open the correct P&ID. This will be difficult for the end users to navigate.
Hi Team, We have a request from Aker Solutions that Transformations populating data models takes much longer than populating raw table. We request for a feature to improve the performance of transformation that are populating data on Data Models using transformation.
good morning just a silly ‘cosmetic’ observation, when you go to check capabilities looks like they are shown in the order of creation / assignment instead of in alphabetical order so when you are looking to validate a particular capability it may become a look ‘in all of them’ just to make sure it is present.If capabilities were sorted alphabetically it would be easy to find what you are looking for without the need to review all of them, specially on groups were you have several of them. thank you
I want Atlas AI to be able to automatically generate a work order based on observations I’m making that need it during my rounds. @Andrew Wagner @Mike Hammons
Due to differences between Google Cloud Storage and Azure Blob Storage Services we have somewhat different behavior for CDF on Google Cloud and CDF on Azure. The main difference is the set of characters supported in file/blob names by the two services.The Azure Blob Storage API has much stricter rules on what characters are permitted in blob names compared to Google Cloud Storage, so we URL encode all file names to ensure that we do not come into conflict with the blob naming rules in Azure Blob Storage. This encoding process is performed automatically by the Azure Storage SDK which we have used to build the Files API on Azure.More information from Microsoft about blob names: Naming and Referencing Containers, Blobs, and Metadata - Azure StorageThis can be contrasted with the Google service’s naming restrictions, which are basically “anything goes except newlines, directory traversals and “.well-known/acme-challenge” (which could be used to acquire a SSL certificate for Google’s cloud storage service using the ACME protocol, so naturally not allowed ) - About Cloud Storage objects | Google CloudAs the blob name is visible to the browser when downloading, the file gets the percent encoded name when downloading unless the downloading client chooses a different local file name.
I think a map-like interface would be a really useful add-on to the search-experience in CDF. How about putting a minimap-tile on each asset that has a geolocation set, similar to what exists for images in “Vision”? It should be possible to also expand this to an additional UI where a map is used as entry point to find data.
I would like the ability to markup a P&ID or other files from within infield when I am creating an observation. @Andrew Wagner
When bringing a file into Canvas, a drop down comes up asking the user to Select a Space. If the correct Space isn’t selected, then the file can’t be added. Users shouldn’t need to select a space, it should be defaulted.!--scriptorstartfragment--> !--scriptorendfragment-->
I would like to suggest a new feature on "list datasets" endpoint. It would be extremely helpful to have the count of files (of specific MIME types) included as a property in the response.Currently, as an example, to determine the number of .pdf and .docx files in a specific dataset, we would make two separate requests to the files.aggregate() endpoint - each filtered by the datasetId and the mimetype (one request for each MIME type). This approach becomes inefficient when we need to evaluate this information across many datasets, as it requires too many requests.If we need this information from many datasets, we should to list them, and then retrieve the count of files available through files.aggregate(). The proposed solution is to enhance data_sets.list() endpoint by adding a 'files' filter, allowing us to send an array of MIME types. The response would include the datasets that contains that specific file types, along with the files counts.Thank you in advance!
As a part of the ‘democratization of data’ paradigm, it would be very useful for end users with limited data proficiency to access the data they need through their trusted Microsoft Excel. While it is possible to connect CDF data to Excel through OData feeds, this can be a boundary for many users. Therefore, it would be very good with a CDF Excel add-in where users can sign in with their Entra-ID and access the data they need for whatever use they have. If this can be kept as simple as possible, it would be a lot easier to onboard even conservative users.
When performing an activity (task) in Infield, you can select the + sign to add images or videos. It would be nice to be able to add other types of files like PDFs, word documents, etc, instead of images/videos only. Specially in Infield Desktop version.
Creating a product request for @msibs90 request for User insights. “I would like to check whether there is any CDF Admin UI or available APIs that provide the telemetry and usage-related insights such: User activity logs such logins, user actions, dataset access, frequency of use API usage metering such calls made by service accounts or integrations, volume over time Application usage tracking such as which integrations/apps are active, which endpoints are being used and etc. Quota and resource usage tracking, like number of API calls, storage/compute loads.” KAES would also like to have this data available for us to consume and use as we continue to report to our leadership on the value Cognite is creating and the journey we have been on. We currently get this from our customer success partner, but having this available via API would be most idea so we have more control and can build KPIs specific to us. This also takes the burden off the customer success manager to build and communicate this each month. @Andrew Montgomery Cognite Hub
Currently, the only way to restore FDM database data is by opening a support ticket, and even then, restores are only available for specific incident scenarios. This process is manual, time-consuming, and restrictive, limiting our ability to quickly recover from data issues or accidental deletions.Proposed FeatureWe would like to have a self-service backup and restore feature that allows users to:Create on-demand backups of database data. Schedule automated backups at configurable intervals. Perform partial or full restores of data as needed. Preview or validate a backup before restoring.BenefitsFaster Recovery: Immediate access to backups without waiting for support intervention. Operational Efficiency: Reduces downtime and manual effort required for data recovery. Greater Flexibility: Enables controlled rollback of data changes in non-incident scenarios. Consistency with Other Cloud Providers: Many cloud platforms offer self-service backup/restore tools, making this a standard expectation.
Allow custom apps to be accessible in the InField Mobile view. This would allow customers to create and use a large variety of custom applications for users to easily access while in the field, while not having to leave the InField application.
We are utilizing Infield with iPhone and iPad.While the mobile mode display of Infield fits perfectly on the smaller screen of the iPhone, we believe that on the larger screen of the iPad, more information could be displayed on a single screen.For example, would it be possible to improve the mobile mode layout to resemble the desktop mode with a checklist on the left, task items in the center, and asset information on the right? I would appreciate it if there were options to choose layouts for both iPhone and iPad. It is possible to switch from mobile mode to desktop mode on the iPad, but in this case, Infield cannot be used offline, so we hope to display more information in mobile mode.
Current Alert notifications are generic and required user to open up to see the details. Suggest to allow customization of the subject header so at once glance user will be able to know the information about the alerts. Provide a way to send alerts to email distribution groups on top of individual. Provide duplicate function in monitoring to create monitoring Create monitoring from Calculation on top of Timeseries tag only
Allow Point Cloud and 360 Images to be compatible in Maintain
To improve the user-experience when creating annotations in a P&ID, it would be beneficial to bring the area that the user has drawn a rectangle over into focus when creating annotations.I have experienced that the side panel on the right-hand side for creating tag annotations gets in the way and it is irritating to keep moving around the drawing to keep the rectangle in view. Also as a user I want to be able to easily read the tag or document text in order to create the correct manual annotation that wasn’t recognized by OCR.
For file category view in Search, the user has to press “show more” many times to show all the files and categories related to an asset. This is an Adoption Blocker. I suggest loading all the categories as empty folders, and then when a user selects a category, load all the files under that category.
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