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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!
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. In our data models, we typically have a few attributes that contain only a sinlge float. Say, the “installedCapacity” of a power plant. It would be useful to have this float be a “float with unit” type - preferably connected to the unit catalog for simple conversion.I assume that right now we’ll have to define the “float with unit” as our own custom type, but would be a good idea to have this value type come as a standard type?
Hi,In the documentation it is mentioned that 10,000 timeseries is the limit in each subscription. Is this the hard limit or it can be changed based on use cases? We are using CDF workflow and in that our first function to read data points subscriptions to get the timeseries and datapoints. Based on our use cases, 10,000 number for timeseries in subscription is too small. We are considering 10,000 wellbores and 200 properties. (10,000 * 200 = 2 Million timeseries). Any recommendations?
Checking the online documentation for PI and PI-AF extractors, you will only find a single version of PI-AF-SDK which is supported by them: PI AF Client 2018 SP3 Patch 3. But it wont say which versions of PI Data Archive and PI-AF the extractors are compatible with. It would be great if the docs could mention the range of versions of those two components that are supported.
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?
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
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.
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
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