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Hi,In our CDF project, how can we use GraphQL and how we can connect to project in our react appCould you please guide me?Thanks!
Hi Cognite Community,I'm building a React + TypeScript app using Apollo Client to connect to the CDF GraphQL API. It shows a Knowledge Graph of assets, time series, P&ID diagrams, and 3D models using vis-network.✅ I already did this successfully using the Python SDK.Now, I need help with:Setting up the GraphQL endpoint in ReactHandling authentication from the frontendAny simple examples or tips would be greatly appreciated. Thanks!
When creating a Cognite Function you specify the dataset it belongs to, as an example lets say D2 LCI, then the files of the function is stored as files in that dataset. However, as D2 LCI is a dataset for file storage for engineering documents these function files cause noise, not much but still. If you were to list out all files for the dataset these “internal” CDF files would simply show as regular files and would have to be filtered out.Now, as we (AkerBP) are moving away from the asset-centric and over to data modelling this might not be an issue given how data models and spaces are. But in the future when datasets are a thing of the past, how will function and the like work, where will those files be stored. Storing the file used for compute with the data they compute might be a simple implementation, but not ideal as it does cause some noise. Note: this does not only apply to Cognite Functions, but to all CDF features where “internal” files are stored alongside the regular data.
The Ghost mode in the red box doesn’t effect
Datasets have an “Access Control” page where you can see which groups have access. Is there a similar way to quickly identify which groups have access to Data Models / Spaces?If not, can this be implemented as a feature?
Hello,I’m looking to compute the standard deviation of a timeseries on the fly with synthetic timeseries.I expected to use this pseudocode formula : sqrt(avg(pow(TS{externalid}-avg(TS{externalid}),2))) with endpoint :client.time_series.data.synthetic.query( expressions=expression, start="2w-ago", end="now")Unfortunately, avg expect at least 2 inputs, I try to switch to aggregate feature but I found it available only for timeseries, not synthetic timeseries.expression = '''sqrt( avg( pow( ts{ID} - ts{ID, aggregate="average", granularity="14d"}, 2 ) ))'''Do you have any tips or workaround to compute this value when “start” value changes ? Dont hesitate to explain I'm open to any opportunity to calculate this metric using another method.Thanks in advance,Pierre edit : I find this function in additionnal library : Rolling standard deviation of data points time delta — indsl 8.7.0 documentation but i’m looking for a answer without additionn
Weird formatting of labels in Extraction Pipelines web app interface. Flowing beyond it’s container making it not fit on the page.
The data grid object has some issues when changing the grid like removing a row or adding a column etc. The attached video shows the behavior. A browser refresh clears up the “jitter” but changes do not take effect.
I need help getting attached error(Error: no gl) in chart page
Hello,I lost the account in the authenticator app while not changing phones. How do I get this back?Thank you in advance,Regards.
Hello, We are heavely relying on transformations to transform our data from Raw (staging) service to Data Models. We notice that it has very high latency compared to a “simple” Spark job. As per our discussion with our Solution Architect we understood that the bottleneck is the Raw service. Any plans to improve this in the future? Thank you!
Hi, I am on Data Scientist Learn training. I´m getting the 404 Not Found error whenever I try to make a GET request for publicdata project. That´s the URL I´m trying to use{{baseurl}}/api/v1/projects/{{project}}/assets I also replaced {{project}} with ‘publicdata’ with same result.
Hello,I am working with the Cognite Data Modeling API to validate edges in a large data set. Our edges do not have a dedicated "edge view" defined in the model. When I attempt to use the instances.query() API to fetch edges filtered by their type, I encounter errors or unexpected behavior indicating that selected properties do not match the view schema.Specifically, filtering or selecting on properties such as "externalId" fails because the queried view does not explicitly contain those properties, as the edges exist only as instances without a separate view.Is there a recommended approach or best practice for querying and validating edges in scenarios where no dedicated edge view is defined? Should we rely exclusively on the instances.list() API with filters, or is there a way to construct valid queries for edges in the current model setup?Any guidance on how to effectively query and validate edges in such cases, especially for large-scale data, would be appreciated.Thank you!
Hi,I use “Relationship labels” to contextualize related timeseries, events, sequences from other CDF datasets.In the example below you can see the asset called “A-03” which has 157 related timeseries. However, only approx. 30 out 157 labels belong to the asset “A-03”, the rest 127 labels belong to the children (L1, L2, L3 ...). I don’t want the children’s labels to belong to the parent asset (A-03), I want the parrent asset (A-03) only having its own 30 “Relationshop labels”.is it possible to do?
Hi Cognite Team,I'm building a React dashboard using Cognite Data Fusion for my portfolio and would like to know if there are any demo projects available for working with CDF data.
Working with file extractor for sharepoint files givers you and option to set recursive mode on/off which does not recurse over subfolders (when set to false) according to your needs.But when i set that option for simple files, it does not works, also the documentation does not mention the keyword recurvisive for files.It wpuld be great the file extractor also has the recursive keyword so you dont need to have specific filders for files to upload. thank you sw
We’re using the client.documents.previews.download_page_as_png_bytes() function in the Python SDK to retrieve png previews of P&IDs in order to display them in a webapp (Streamlit).For some P&IDs, the dimensions of the returned png are distorted. The image is in the correct orientation but squashed to fit within a portrait envelope. The affected P&IDs are displayed correctly in both CDF Data Management and when downloaded and opened in a pdf viewer.Has anyone had this issue before and, if so, did you find a way to handle it?
Hi Cognite team,I understand that Atlas AI is not available in the PublicData project and is primarily for enterprise tenants.I’d like to explore whether there is any possibility of getting sandbox access, a developer trial, or demo environment where I can experiment with Atlas AI using example data.Could you please let me know if there are options for developers or small teams to try Atlas AI in a non-enterprise context?Thanks a lot!
Something is wrong with this overview. The fields CREATED/STARTED/FINISHED does not seem to correspond with what is shown in the graph, and the DURATION.Can someone explain what the STARTED field actually is, the graph and the timestamps don’t line up. Does it count the start of the transformation when it start writing or when it start reading (only one of these is sensible).The duration should be the time between the transformation was triggered and it was completed. From the perspective of the user the transformation has started when it triggers, how long it takes before it actually begins should be part of this duration. Measuring both intervals could be interesting, but the one that is currently there is not really useful for us.
The external id of some time series contains special characters. Should they contain special characters, no, but that is not the issue here. As long as CDF allows special characters in their ID’s it should also have support for them in the rest of the system. When you press the copy button in Fusion you don’t get the special characters, and without those characters the ID is invalid and cannot be used. Hence the copy button does not actually copy the external ID, it alters it and that is an issue.# The actual external IDLIMS_Skarv_Analysis 9-ion analysis_SP 44-AP-0027 - DS - 2. STG\xa0SEP_Param Sulphate, SO42-_Unit mg/l# Copied from Fusion UILIMS_Skarv_Analysis 9-ion analysis_SP 44-AP-0027 - DS - 2. STG SEP_Param Sulphate, SO42-_Unit mg/lThe fact that the external ids contain these characters to begin with is a different issue we are looking into.
Hi,First of all, where can we get the OID Project public data API documentation, and what are the parameters we need to pass to fetch the data?My aim is to use OID public data to access any asset — for example, a pump set — and display its data and health status on a dashboard. The dashboard will be built using React, and for the backend we can use FastAPI with the Cognite SDK.
HiWe are testing out a new deletion transformation for a view in data modeling. The transformation looks something like this:select externalIdfrom cdf_data_models(...)where project in ("ProjectA","ProjectB")This transformation always times out and returns a “Graph query time out” error message. However, when changing the transformation to this the transformation just runs fine:select externalIdfrom cdf_data_models(...)where project = "ProjectA"unionselect externalIdfrom cdf_data_models(...)where project = "ProjectB"For context, the project column here is indexed and the view has around 10 properties and about 1.7 million rows. The transformations all query the same view.We are therefore wondering how the filtering in transformations handles filtering in data modeling and why these transformations are performing different. Learning more about this would benefit us greatly when working with transformations and data modeling in the future :)Thanks in advance!Sebastian
Hi When testing some new functionality in a Cognite Function I got this error message: “The size of the data field is too large.”The data input was from the output of another function ran previously in a workflow.I am looking through the documentation to find what the limits are, but can not find anything.For my use case I can decrease the input size and run more batches, but it would be good to know what the size limits are for input data into Cognite Functions. Also, are there any other size limits I should be aware of?Thank you!Sebastian
All,We’re readying a release of the OPC UA Extractor with support for the Records API and are looking for help with testing data flow of OPC UA events/alarms to CDF Records. The extractor creates containers for several different OPC UA event types and will be able to store data in either mutable or immutable streams (as specified in the configuration file for the extractor)Please reach out - feel free to email me at thomas.sjolshagen@cognite.com and let me know if you’re interested in testing the new extractor).Also, keep in mind that we have support for Records as a target and source in the Hosted extractors for CDF, so let me know here if you’ve got questions about how to use the hosted extractor for the purpose of onboarding relevant data to Records.
“I’m using cognite/opcua-extractor-net as container.Is there a docker image version for linux/arm64 platform available ? (not present on docker hub)”