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As a user, I seek the inclusion of table headers on each page of the PDF export. This enhancement is essential to eliminate the need for constant reference to the first page of the export whenever I need to identify the table headers. By having headers consistently displayed on every page, the usability of the exported PDF is improved, providing a more seamless and user-friendly experience.
Celanese client has requested that the term “observation” be changed to “notification” since it is the term used at all of their plants and refers to SAP work order notifications.
Being able to deploy simple streamlit apps in CDF is very cool, but as a developer I really do not like the workflow of writing code in the CDF editor - or copy code from my development repository into the CDF editor.Similar to Cognite Functions, I want to just make sure the necessary files are there, like requirements and perhaps a standardized entry point.
Hi!When verifying the data in our time series, ensuring that CDF data matches up with source systems, it would be useful for our product owners to be able to quickly visualise the raw time series values in a table format: Raw data points with timestamp and value, and the ability to scroll through the data points.Any chance to get such functionality implemented in the UI?
Washington Works mentioned the importance to update the Assignees of created Checklists. As they could have changes on the Operators Units and Locations, it is necessary to have the flexibility to change the Assignees on the Templates and update automatically on the Checklists. I've ran some tests myself and InField doesn't update, requiring accessing the Template itself, adding the new assignee manually and creating a new Checklist every time that something change on the assignees. It is worth mentioning that Washington has a big number of recurrent Checklists, and they need to have the minimum maintenance on the Templates(It will be more than 600).
Is there any way to use the Azure Identity library to authenticate with the CDF python SDK? E.g. DefaultAzureCredential. That would enable users logged in with Azure CLI to re-use the login when authenticating to CDF, as well as applications using OIDC managed identities with no application secrets (e.g. AKS workload identities or GitHub Actions) to seamlessly login using the same code. Something like this would be great: from azure.identity import DefaultAzureCredentialfrom cognite.client import CogniteClient, ClientConfigcredential = DefaultAzureCredential()client_config = ClientConfig( credentials=credential, # Does not work today project=COGNITE_PROJECT, base_url=f"https://{CDF_CLUSTER}.cognitedata.com", client_name=CLIENT_NAME,)cdf_client = CogniteClient(client_config)
I finally got the SAP Extractor working to extract data from S/4HANA using the OData APIs. The extractor is easy to configure as you can simply provide the Service Root and Resource URI in the config file. The program maps the extracted data with the OData schema to create the Raw table. It even supports the incremental extracts. However, I found that we cannot provide the filter parameters in the config file, and it is a huge barrier to adoption. In most cases. we want to limit the data for a set of Maintenance Plants. So, it would be great enhancement for the SAP Extractors to provide the ability to specify filter parameters while using the OData connectivity.
As a user, I seek the capability to effortlessly select multiple rows within a table. This functionality is crucial, especially when dealing with a sizable number of rows that require editing. The current process of individually clicking each row becomes cumbersome, and having the ability to select multiple rows at once would significantly enhance the efficiency of the editing task
As a user, I want the option to search for attributes when selecting elements for inclusion in plan analysis. This feature would save me time and effort, eliminating the need to manually scroll through a list of attributes. The ability to search for specific attributes would enhance the efficiency of the selection process, ensuring a more seamless and user-friendly experience
As a functional planner, I need the ability to effortlessly schedule a sequence of activities in the Gantt chart or table, based on a predefined order. This functionality is essential to streamline the process, eliminating the manual effort required to space out activities individually. By providing a more efficient method for arranging activities, I can enhance my productivity and avoid the cumbersome task of manual scheduling
As a user I have in some circumstances have to click 15 times to expand groups just to see 9 activities, I would therefore like an expand all button groups button such that I dont have to do this one by one
As a user I want to be able to customize the gantt view. To be able to enlarge the left part with the information desired by each user (activity name, production gains, deferment, status or any attribute). Such they I can more easily facilitate planning meetings without too much clicking back and forth
As a user when I expand groupings I see that blank space is created between groupings that could have been used to show more activities such that I could get a better overview
As a user I would like to more clearly identify, through for example colour coding, certain types of groups to more easily navigate my plans through the grouping hierarchy.
When searching for assets on the Observations and Templates creation, the Asset field only returns to the user 10 results. There some sites that have more than 2000 assets on the list and it will be impossible to operators to find the correct asset when the search only returns 10.It will be good to have a load more option or a paginated result so the users will be able to find faster the asset.
Hello team, Today if user wants to attach meta data while uploading the file using CDF UI interface it is not possible. There is only option to attach data set id, No option to attach meta data. Today it can only be done by using CDF file API offline. We need an option to attach meta data to file upload using CDF UI.
In our testing we have found that we have the need to delete large amounts of data quickly. The standard method of deleting data is a soft style delete which can leaved large amounts of data still around which as we understand would have to be filtered out of any queries that are run against the data.. We would like functionality similar to a truncate function to be implemented to quickly remove data from the instance. We understand this would be unrecoverable, but that is fine for what we are needing to do.
It would be useful to our SMEs/Data owners/Data stewards to be able to manually update/write datapoints in a time series via the Fusion UI.For instance:Manually type in time stamps and values Manually draw a trajectory over a gap in time series data, with a fixed sampling interval Manually adjust the parameters for a gap-filling / interpolation function (e.g. fitting a polynomial/spline to both sides of a data gap), with a GUI preview. We have certain data for which it is difficult to define global “gap-filling” rules, especially for long gaps, but where a human eye can easily spot and correct data.
On behalf of Celanese InField super users:As a user, I would like the ability to view Charts within InField. Currently, InField allows me to view trends that are linked to an asset. I would like to see this functionality expand to Charts trends & calculations that are linked to an asset via time series. The only way to view created Charts is through the desktop interface and requires users to walk back to their computers. Having the ability to access Charts via mobile devices in InField would help with troubleshooting out in the field.
Feedback from one of the learning facilitators (template creator) is that the dialog box that pops up after selecting "Mark all remaining tasks as" for a section is unnecessary. They said they would like to get rid of it because even if they mark all the tasks as something on accident, they could still undo this one by one.If anything, the option dropdown in InField 2.0 should have "To-Do" as an option in case the checklist user wants to reset the status.
Several users of Infield 2.0 want an easier way to create an observation from the observations tab in Infield 2.0 (by means of a create observation button), in addition to the current ability to create an observation from the + button in checklist.
I’m creating this feature request on behalf of @Smitakshi Sen In CDF Data Explorer, on the events resource types, after filtering on a particular Event Type, the sub-types shown on the subtype dropdown should only show the subtypes applicable for the selected event type and the rest should be hidden.
Hi, I have an improvement request of the feature of Infield from a site operator. Could you please improve Infield to use images in checklist.We are creating Infield checklist template which is based on a manual which has been already in use by site operators. A part of the manual shows images to description what to do or what to watch for. However, such images cannot be embedded into checklist in the current version of Infield. We would like to use images in checklist to create a better checklist. Kindly consider this request could be valuable for other Infield users.
The RAW Layer or Staging area, could do with the ability to explore the data on CDF itself.Currently, the only way to analyze any RAW table is to download it as CSV and to filter, sort or search within Excel.Also, at the moment, you can only filter or search at column level and not at row level.Some Suggestions:Ability to sort and filter rows (Similar to Excel). Search across the entire RAW table using particular keywords. Maybe even an SQL editor to write any queries on the RAW tables. Instead of having Generative AI capabilities on Jupyter notebook, why not allow the user to type question directly on the Raw table screen?This is essential as it is typically used to perform sanity testing or reconcile the RAW layer with the data (resource types) in CDF. The client was heavily reliant on RAW table analysis to check that the transformation logic is correct and that counts match in the source and CDF.
Users are unable to search raw data in Prepare data for Transformation stage. User is requesting to enable search functionality in a RAW table of CDF. Example:
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