In a hypothetical scenario where we need to extract asset hierarchy directly from PDF-based P&ID documents, does Cognite provide a built-in library to support this? Or would we need to rely on external libraries like PyMuPDF or pdfplumber for data extraction—or even tools like Pytesseract in cases involving scanned images? Thank you for any guidance on best practices or integrations for this use case!
Hello everyone in the community,I have a question:I have a project created with CDF and the assets are already contextualized with the P&IDs. I received new revisions of plans.My question is, do I have to contextualize everything again and what has already been contextualized is lost? Is there a way to only upload the new plans in the new revisions and have it done automatically?
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
Search option is not working in non-pdf document at CDF for Documentum. Steps to reproduce the issue: Login to CDF Click on Data Explorer tab in CDF menu bar. Click on Files tab in right side of the panel. Set Data set as ‘src:006:documentum:b60:ds’ under Common filters in left side of the screen. Enter the file name ‘ELECTRICAL SAFETY RULES.docx’ in search bar. Click to open the file. Expected results: User should be able to see the preview of file and search the any word inside the document. Actual results: Search option is not working in preview of file and displaying message ‘this document is not searchable.’
Is there a way to annotate 3D models towards instances from a data model. In the API documentation I only see linking to assets as an option.
I’m following the course instruction to use postman. However, after token is generated successfully, when use the genenrated token to call the API such as list asset, I got 401 "Unauthorized" error as follows { "error": { "code": 401, "message": "Unauthorized" } } The following is my env and auth settings
Hi. I’ve set up a data model with 26 containers. How come only the first 10 of them (in alphabetical order) show up in the Fusion UI? I successfully return all 26 containers using the python SDK: client.data_modeling.containers.list(space="sp_kra_enterprise_model", limit=None)
I have been trying to create an asset but I keep on receiving 403 error consistently. Below are the images attached respectively. It seems like I don’t have access for asset creation. Can anyone help me to rectify this issue please?
Hi. I’ve got an enterprise data model set up, and built a test solution model with a subset of the enterprise model, and also expanding one of the views. Somehow my solution model does not show in the UI - only a spinning wheel is shown. Does anyone know where I can start to troubleshoot this? I’m able to populate the model with transformations, and I can retrieve the resulting nodes using the Python SDK, so the model seems to be working. Can this be only a UI issue?
Intermittent Internal server is seen while reading RAW table. It is happening in different functions that may not be part of some workflows. It is blocking workflow to run as we use these staging tables to get information for other functions. Is there is any check that needs to implemented ?
I’m using cognite/reveal and cognite/sdk for a project developed in react (18.x). While connecting cognite/reveal with react application I’m encountering this error: e.BufferGeometry is not a constructor TypeError: e.BufferGeometry is not a constructor I would like to know what is causing this error. code attached below:- A help to figure out the issue would be helpful. Thank you, Regards,Hariharan B P
I'd like to inquire about the current status of the monitoring functionality in the workflow orchestration. Specifically, I'm interested in the setup for notification emails. It would be helpful to know if we are able to receive notifications in the event of a workflow failure. Could you please provide an update on this?
Hi Community, I would like to know if anyone have information on how the Cognite Streamlit Reveal python package full feature & capability documentation? Second, can the "cognite-streamlit-reveal” have the zoom in / zoom out event trigger? This is because we want to develop a use case where user able to zoom in into the oil rig plaform 3D and once the zoom stop, it able to send and event to show what are the bounding box of that area so that we can load data related to that specific area during zoom in and zoom out interaction. Thanks
Hi, I am working on one of the project where I am using MQTT extractor to inject data into CDF. Kindly advise best optimized stepwise solution to integrate and transform data into CDF. Note that it is Sparkplug B-formatted MQTT data. Kindly advise. Regards, Amol S Pawar
Hi Team, I'm excited to be registered for the Data Engineer Basics course, specifically the “Learn to Use the Cognite Python SDK” section! While working through the “List, Search, Retrieve” portion, I came across an issue. The documentation states that the general pattern for search operations is `client.<cdf_resource_type>.search()`, where `<cdf_resource_type>` could be `data_sets`, `asset`, `time_series`, `events`, `files`, `labels`, and so on. Following this, I tried the code: ```pythonc.data_sets.search()``` However, it resulted in the following error: ```AttributeError: 'DataSetsAPI' object has no attribute 'search'``` I double-checked the Python SDK documentation but couldn't locate a `search()` function for `data_sets`. Could you please let me know if I missed something? And if the `search` function for `data_sets` is indeed unavailable, perhaps it could be noted in the documentation to prevent future confusion? Thank you for your help and for the informative course! Best regard
Is there currently, or is it planned on the Cognite roadmap, a Job UI for real-time tracking of job statuses, including runtime, failure reasons, and retry counts? Additionally, will it provide a step-by-step view of each job’s progress to help easily identify and troubleshoot issues?
Im running a jupyter file on the cdf but it does not run the cell even for a very simple code as print(). What could be the reason? Im using chrome as my browser.
Hi Developers! :) I have a use case where I need to retrieve a large number of Time Series data points from CDF. We are a final DataFrame with a shape of approximately (1000, 400000). So a total of 4 billion data points + the index. I also want the data retrieve to be fast…. :) So instead of retrieving everything in a single call to `client.time_series.data.retrieve_dataframe`, I thought to use multithreading to start the retrieves in an approximately parallel fashion, and then concatenate the resulting dataframaes at huge runtime gains! However, I observe that the results from multithreading do not equal the results from the single call. :( Specifically: I split the data retrieval on Time Series IDs, and concatenate along axis=1. I observe that data from the “first two” threads have a lot of missing data, while data from the last two threads are 100% correct. I have also tried to split the DatetimeIndex and multithread along this dimension, but I see exactly the same result in that so
I am trying to setup an asset hierarchy using the Core Data Model as shown in the example: https://docs.cognite.com/cdf/dm/dm_guides/dm_cdm_build_asset_hierarchy/ But I am getting some strange errors when I try to implement it. A normal container and view without a refernce to core data model works fines, but when trying to add cdm it fails. I am using the toolkit to deploy the data model. In the “Data management” tab I get this error: { "title": "", "message": "Cannot read properties of undefined (reading 'listPump')", "errors": []} In the “Query explorer” I get these errors: { "errors": [ { "message": "The field type 'Cognite3DObject' is not present when resolving type 'Pump' [@-1:-1]", "locations": [], "extensions": { "classification": "ValidationError" } }, { "message": "The field type 'CogniteSourceSystem' is not present when resolving type 'Pump' [@-1:-1]", "locations": [], "extensions": { "classification": "ValidationError" } }, { "message": "The field type 'CogniteAsset' is not
Hello everyone,I have a problem viewing 3D. It tells me that I don't have any scenes created, but I do have some. I understand that the error message is because I have to configure the location in the scenes. How do I do that? I don't see the option to add the location.
Hi. I would like to experiment with using more of the advanced functionality in data modeling. For instance, everything related to importing views and mapping properties between data models. However, I feel like the documentation (https://docs.cognite.com/cdf/dm/dm_graphql/dm_data_modeling_language#specification-of-directives) is a bit lacking of examples of how to use the functionality. Are there any end-to-end (both basic and advanced) examples or other training material of how to reference data in other data models using all the different directives specified. For example examples of best practices when referencing between a source model and a domain model, and when referencing between a domain model and a solution model. Thank you! Sebastian
Hi everyone, I am wondering if someone can help explain the difference between Node/Edge and View/Connection Properties. I am extremely confused on these concpts as I read through the CDF data modelling tutorial. My current perspective is that Node/Edge and the knowledge graph defined by Nodes and Edges is the most “vanilla” version. Where as a Data Model made up of Views and Connection Properties is a similar construct but based on a specific perspective. The analogy between a View and Node in a relational DB sense will be a table and a view. Is my understanding correct? If so, I am wondering what is the actual need of Node/Edge given there is already Containers that perform the data storage like a SQL table would do? It seems to me that View, Connection Properties and Data Models are sufficient enough to produce any type of sementic model?
When I am creating calculations within Charts I often have to click an object twice before it is selected. For example, adding a Function. When I select Operators the list resets and I have to click Operators again. This time it provides the new window. I’ll scroll down and select Round (doesn’t matter what I select). The list resets back to the top and I scroll back down and select Round again. This happens every time independent of browser (Chrome or Edge). Is this common for others or a unique issue for me?
I've heard various approaches discussed by my team for starting work with Cognite Data Fusion (CDF), and I’d like to clarify a few of them. I want to begin with the basics: For example, if we are starting with a new client using the Cognite QuickStart requirements (deploying and configuring out-of-the-box solutions like InField, Maintain, and InRobot), and we plan to use the Cognite Toolkit, what should the first step be? a) Start by setting up the Cognite Toolkit using InField built-in modules/examples/infield?b) Start from scratch, setting up Cognite with a new enterprise data model?(We have a lot of questions about this one)c) Start by setting up Cognite with another example from the toolkit repo?d) None of the above. Additionally, if the answer is a, is there any need at this stage to create a specific solution model or a custom domain model/enterprise model, or can we leverage Cognite's core models, given that use cases outside of Maintain and InField have not yet been defined?
Is it possible to get Cognite Data Fusion APIs from Minitab application? If does, how does it work the connection?
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