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I am looking at 127 time series linked to one asset and I want to download the list of these time series as shown in the screenshot below, but this doesn’t appear to be straight forward.The download button circled in blue saves a JSON file linked only to the asset “11. QHP”. Is there a way to spare the user the effort of manually selecting and downloading each of the 127 timeseries and later reassemble them into one table like the one shown in the browser? It is not possible to select and display more than 20 columns in the browser … due to performance issues. This is not critical at this time, but still dissatisfying. I want to download everything wholesale and pick what I need from the list locally. Is there a way around this restriction? Solving issue #1 would remedy also #2, as I’d be able to join the tables locally again. Thanks
Facing Session IDP refresh from UI while running workflows and transformations. Tried using client id and client secret. Facing this since yesterday Let me know if any changes required from our end
CDF File Extractor should support “Delete” scenario for Sharepoint file extractor. If a file is deleted from Sharepoint, File extractor should be able to reconcile differences with what has already been loaded to CDF. With this feature, we are able to maintain sychronization between source and destination.
Hi, Is it possible to use multiple clients for the same Cognite Function? I know the handle function only takes one client as argument, but is it possible to initialize another client inside the function? I want my Cognite function to read from prod environment, but write to dev environment, which necessitates two clients. Thanks.
Hi everyone,My name is Gustavo Alvarez, and I have 25 years of experience in the field of automation and control, along with a strong background in industrial process management. Throughout my career, I have had the opportunity to work on a variety of projects, ranging from implementing automated systems to optimizing complex industrial processes.I am very excited to start the CDF course from Cognite. I am confident that the skills and knowledge gained from this course will be invaluable in advancing my career and making significant contributions to future projects in the field of automation and control. Additionally, I am particularly interested in learning about the application of Generative AI in the industry and how it can transform and optimize industrial processes as part of the ongoing digital transformation.Best regards,
Hi everybody.My name is Carlos, I'm Software Quality Assurance and I just started CDF. I'm so excited to be here and be part of this community!
Problem Description: Cognite File Extractor for Sharepoint is not able to recursively retrieve documents from a Sharepoint site where site and sub-sites, e.g. Document Control System Alternatives explored: Provide Sharepoint URL as mentioned in documentation for site (Sharepoint Online | Cognite Documentation) Results: no errors, however, no documents are loaded Evaluation: recursion does not occur from site-level down to the document or folder level where Sharepoint stores documents Provide document library and folder / sub-folder Results: working, however, sustainability not ideal Evaluation: will require potentially >100 URLs to be configured and kept up-to-date in case of new document libraries or folders created or deleted Recommended enhancement Recursion from root node (Sharepoint site). E.g. if site URL is provided recursion should go through each sub-site (if present) to document libraries and sub-folders to retrieve documents This should be treated as high-prio
HelloMy name is Bjørnar Myhre Ås and I have just started the basic training. I have been working for SLB for 19 years and am very excited to see what CDF can do, especially for the industry I work in
The current selection of the target data model when creating in a transformation is sort of a lazy load:Only these three data models are available when dropping down. There are dozens of data models in the project However, as the project grows, the loading of the data models can take too long, since it’s very possible to exist dozens of data models, and it loads the data models one by one. Also if you close the pop up it will start over. I suspect this is because it’s fetching all the information about the data models - all versions and views available - to fill the other options in other fields. And that could be too much to load all at once. The proposal is to fetch all data models at once, but only their names. And then once the data model is selected, fetch the rest of the information from that data model only. This way we can have a more responsive UI when selecting these and reducing the amount of unecessary data we are fetching.
As an operator, I want to filter the tasks on a specific checklist, so it would be easier to find specific tasks in large checklists. This is a suggestion from Celanese users: being able to search for specific tasks. This will be useful specially for large checklists, that the operator has to go through the unit taking readings. Not always they do these readings in a specific path, they walk around randomly and fill the tasks as they go. Finding the tasks is somehow difficult in those situations, they have to keep scrolling and looking for the reading they are taking at the moment.
I’m working on a prototype for a flexible data model to store time series data in a way that is easy to catalogue, query and filter. Using Pygen both to populate and use the model seems convenient.At its current iteration, I’ve only applied direct relations and (undocumented?) @reverseDirectRelations in the GraphQL schema. I expected to be able do something similar to client.windmill(windfarm="Hornsea 1").blades(limit=-1).sensor_positions(limit=-1).query()as found in the Pygen documentation, but it does not work (my client.windmill analouge has no methods corresponding to its relations). Do I have to use edges instead of relations to query easily and declaratively with Pygen?
Are there any documented use cases or papers on integrating MLflow with Cognite, or is it something we need to implement ourselves?For example, if we aim to seamlessly integrate the MLflow UI with Cognite to evaluate and select the top-performing models, we could leverage SQLite, which operates on the local file system (e.g., mlruns.db) and provides a built-in client, sqlite3. However, our preference is to seamlessly integrate it with Cognite.
Hi all,I'm trying to increment my view version.To do this, I'm also incrementing my data model version as well.My original is```type Test @view(space: "test_space", version: "1_0"){ name: String!, description: String,}```and I try to go to```type Test @view(space: "test_space", version: "1_1"){ name: String!, description: String, test_write: String}```I've also tried ```type Test @view(space: "test_space", version: "1_2"){ name: String!, description: String, test_write: String, required_test_write: String!}```I get this error: { "title": "Error: could not update data model", "message": "An error has occured. Data model was not published.", "extra": { "type": "div", "key": "errors", "ref": null, "props": { "style": { "display": "block", "overflowX": "hidden", "overflowY": "auto", "maxHeight": "150px" }, "children": { "type": "ul", "key": null, "ref": null, "props": {
Within part 2 of the course - on the the page named “Exploring nodes, edges and direct relations” there is a table stating that Edges counts towards instance limits, but within point 4 of the Part 2 Summary the opposite is stated?
We are a bit unclear on the difference in meaning between the "Uploaded at" vs. "Last Updated" times for Files in CDF.For example, we have seen un-intuitive examples where the "Uploaded at" time is newer than the "Last Updated" time - we would expect that would never be the case.Can you define the logic for these two fields, and update the documentation here? https://cognite-sdk-python.readthedocs-hosted.com/en/latest/files.html#module-cognite.client.data_classes.filesThank you.
Is it possible to increase the limit on execution of workflow instances per project or limit on execution workflow instance itself instead of project ? as we require to schedule workflow, on that it depends how much data we get to run workflows instances, so it can be more than 50
What access capabilities do I need to run transformations as “Current User”. I have a user who don’t see “Run as current user” as in screen shot. Next screen shot is mine, and I can see it probably because I am added as admin
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