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Hey guys. I’m trying to create a function with some different constants. Do you know how can I change the name of the constants?
Global companies might face the challenge of having global data used by different countries, regions and languages, in ERP and other source systems. Such data exist in form of shared ‘catalogs’, ‘master data’ or ‘configurations’. This data is often setup and maintained in source systems, with different languages to support users in multiple regions. This data then became attributes or metadata in Cognite objects.Example given - Current situation:This 'catalog' data (metadata) is extracted from source system in one single language - English - only, since CDF can't store it in multiple languages.Then these metadata - field names and field values - are displayed in CDF with the only one language available - English -.*Notice Metadata fields names and metadata field values don't change, despite user changing CDF language settings. Proposed solution (request):Have a way to store metadata fields names and metadata field values, coming in different langu
Is there currently a best practice for adding a geographical location to an object in a data model?I’ve considered simply using a string property to my model containing wkt-formatted strings, or a GeoSpatial feature external id, but none of them seem ideal. I assume there is a size limit on strings - so that wkt might be a bad choice? We’ve previously discussed this for timeseries, where you mentioned that data model geolocation was on the roadmap. Any update on this? 😊
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?
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.
On behalf of Celanese InField super users:When executing a checklist in offline mode on a mobile device; it has been discovered that there is a risk of losing data due to accidentally refreshing the screen. Due to the design of the UI of InField 2.0, it is common to frequently scroll through a checklist when completing. Most users do this rather quickly without giving it much thought. However, when scrolling back to the top of a checklist, a user could be at risk of accidentally refreshing the screen whenever they reach the boundary limit (very top item) of a checklist. This is due to how the touch interface works on the mobile devices. To refresh the browser, the user needs to only press and drag their finger down on the screen window to initiate a refresh. This is a common movement when scrolling through checklists and could be inadvertently initiated. Would it be possible to include visual indicators or engineers controls that could limit the possibility of this issue occurring? Per
Create a new Tab on CDF home page (in the same line as Home, Data Explorer, Canvas, Charts) called Process Explorer (or any other suitable name). This should give the users the ability to build process graphics for manufacturing plants. Standard palette for common unit operations (Columns, vessels, valves, controllers, pumps, heat exchangers etc.) Ability to embed timeseries associated with Unit Ops in the graphics. Contextualization of Files, Assets, 3D, 360 etc., with Unit Ops on the graphics. Ability to spinoff ad-hoc charts by selecting timeseries tags from the built graphics. Ability to save and share these charts. Ability to add ad-hoc calculations on the graphics. Ability to navigate from one graphic to another. Dynamic color coding of Unit Ops based on conditions. (Example: - Pump ON = Green, Pump Off = Grey) Ability to group graphics (based on which processing plant it belongs to.) Ability to share graphics. Ability to lock graphics for editing per cred
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
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
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,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?
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?
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
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": {
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