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PI drops some datapoints due to poor quality. Ideally this would be written to CDF with some sort of indication on the quality of the data.
As I user, I would like to have an adjustable document title for the PDF export instead of the Plan title.
Specific colors instead of multiple shades of grey for hierarchy levels for easier readability in long reports in PDF reports. Current status (shades of grey) vs idea (color coding)
As a user, I want the possibility to create public dashboards in Grafana that displays data from the Cognite datasources/CDF plugin. This will enable me to share my dashboards publicly, to be used for marketing purpose, sales etc.
For the reccurency tasks of the Checklists that have a longe planned time, it’s important to have a option to define a days until due. Users intent to create checklists only one time and it needs to have all defined before that. The Days Until Due field will help them to define, for a Monthly task for example, the number of days to an operator execute a task without making any harm to the operation. Also, it’s an important field to use as a reference in a data perspective to understand if the operators are executing their duties in the correct time.
Hi,I'm reaching out to suggest an enhancement to the CDF's dataset overview functionality that could significantly improve user experience and efficiency.Currently, while reviewing a dataset in the CDF platform, users can see the data owner but not the integration owner or the specific developer/team responsible for the dataset's integration. This gap in the documentation requires users to spend considerable time identifying the individual or team who developed the pipeline and is accountable for its integration.To address this challenge and enhance our workflow, I propose adding an "Integration Owner" field to the summary box within the dataset's overview tab. This addition would provide a clear, immediate reference to the responsible party, streamlining communication and troubleshooting processes.
As a user of Canvas I want more types of equipment symbols, etc.
On behalf of Celanese super users:Would like ability to adjust size horizontally and vertically rather than just on corners of a document.
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
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.
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