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Hi, I am on Data Engineer Learn training. When I try to make my first API request for the publicdata project, I get a 404 Not Found error: The GET url I was asked to use is{{baseurl}}/api/v1/projects/{{project}}/assets I also replaced {{project}} with ‘publicdata’ with same result. Kindly let me know.
We're thrilled to share that CDF user interface is available in 10 new languages (Deutsch 🇩🇪, Español 🇪🇸, Français 🇫🇷, Italiano 🇮🇹, Nederlands🇳🇱, Português🇵🇹, Svenska 🇸🇪, 한국어 🇰🇷, 中文🇨🇳, 日本語 🇯🇵) to make your experience even more accessible and user-friendly.We've expanded our language support to bring the power of our platform to a global audience. You can now select your preferred language from the upper right corner of your profile by clicking on <Manage account>:Click the avatar on the top rightWhen on the /profile/ page click on the <Language> left button pick your preferred language from the list:Button reads <Langue> as user has chosen Français language from beforeAfter one selects the language, the page will reload and present the user with the interface in the chosen language. Your Opinion Matters 🗣️We're committed to ensuring that our multilingual interface exceeds your expectations & we want to hear from you! To do that, we need to
Hello, I am trying to perform a calculation on Charts but it does not work. It is a multiplication of 4 time series, all of them with a resample to granularity to 1m. One of them has real values and 3 of them are 0/1 steps. When I zoom out, I can see the calculation and it shows a pick of values, that is not accurate as it shows average data. Although when I zoon in to see the data, the trend disappears, the error says “One of the time series has less than two values”. As I resampled the data to 1 minute, I was expecting to see one values per minute, but it does not seems to happen. Is there other way to calculate the data correctly? Zoom in:
hi,I am trying to access the data science training, and it requires two credits and when hit purchase it is freezing, any help for this matter ?
Hi, Unable to connect CDF data source to Grafana.Please suggest asap on this.Thanks
There is similar question posted in other community. Please refer that.
Im trying to create a new function in python, when I run this function from local it works fine but when I run it from cdf service it does not work. I got this error message: CogniteAPIError: <!doctype html><html lang=en><title>500 Internal Server Error</title><h1>Internal Server Error</h1><p>The server encountered an internal error and was unable to complete your request. Either the server is overloaded or there is an error in the application.</p> | code: 500 | X-Request-ID: 04b27193-d865-98d5-8a2a-11b94126e8eb
Hello everyone. We have some checklists where the operators measure the length of something, usually in feet and inches, like 1’10”. We have been facing some trouble creating tasks with this type of data on the templates, we could only add decimal numbers. How have you been handling this type of data?Thank you.
Hey Data Workflows users!We’ve just released highly-requested feature for Data Workflows, namely, being able to retry failed or timed-out executions. This endpoint resumes a previously failed, timed out, or terminated workflow execution by retrying tasks that did not complete successfully. It aims to resume execution activity from the point(s) of failure.Behaviour of the retry operation:Targeted Task Retry: Only retries tasks that have stopped in a terminal state such as CANCELED, FAILED, FAILED_WITH_TERMINAL_ERROR, and TIMED_OUT. Optional tasks are not retried. Subworkflows and Dynamic Tasks: When a failure occurs within a subworkflow or as part of a dynamic task, only the individual nested tasks that failed are retried. The subworkflow or dynamic task container itself is not retried. Retry Limits: Tasks that have reached or exceeded their designated retry limits will not have their retry counts reset to zero. Instead, each retry request permits these tasks a single additional retry.T
I’m trying to upload a raster file to cdf, but I get this error message when trying to create the feature type. cognite.client.exceptions.CogniteAPIError: RASTER properties only support embedded storage. | code: 400 | X-Request-ID: 21781349-8ad8-9710-abdb-7c7199a268e7raster_ft = FeatureType( external_id="Raster_ft", data_set_id=1, properties={ "raster": {"type": "RASTER"} })client.geospatial.create_feature_types(raster_ft) # gives error messageIs this the right method to upload a raster to cdf? I found a method put_raster() in the docs, but it seems to require feature and feature type to be created already. The rest of my code: # create raster featurefeature = Feature( external_id=f'raster.test', data_set_id=1, raster=open(raster_filepath) # What do I put here?)client.geospatial.create_features(feature_type_external_id='Raster_ft', feature=feature)# looks like I need the feature with the raster property, do I need this function?client.geospatial.put_raste
When installing pygen in a CDF notebook you may be met with ValueError: Requested 'typing-extensions>=4.10.0; python_version < "3.13"', but typing-extensions==4.7.1 is already installedThis is currently a known bug, which we are working on solving. For now, the workaround is to manually uninstall `typing-extensions` using micropip. The code to do so is documented in the installation of pygen along with other known issues and solutions.
If you ever wondered what each of the different professions in Cognite do, Generative AI has the answer :)
Hi Team, I have a dataset consisting of Timeseries, Assets, Files and Sequences in one tenant. I wanted to export this dataset into another tenant. Is it possible for exporting the whole dataset as a zip file and then importing to the other. Or is there any other method specified by CDF for the same .
The recently released version `7.37.0` of the Python-SDK which pygen depends on broke pygen. This is fixed in `0.99.20`. For versions before 0.99.20 you will be met with `ImportError: cannot import name 'ListablePropertyType' ...` when you try to generate an SDK.
Hi everyone, I would like to know if there are timeout restrictions for functions, as I've been executing a function that reads data from a RAWs table in batches, and since there are many records (1M), it takes up to 10 minutes and I get a timeout error. Is there a way to configure this restriction? Running the same function code on a local machine takes around 2 or 3 hours. Regards,Karina Saylema@Aditya Kotiyal @HanishSharma @Jason Dressel @Jairo Salaya @Liliana Sierra
Hi, everyoneI'm trying to load sequences using Python SDK by inserting dataframes. In the dataframe, I have some columns with NaN and numeric values. Dataframe: and when loading NaN values, they are uploaded as 'null'. I've tried replacing them with empty strings, but due to the column definitions, if I have numeric values, the column's data type must be Double or Long, and conflicts arise when encountering empty strings.This is the code to load a sequence: Results in CDF using Python SDK: However, when loading the sequence via DB-Extractor, empty strings are uploaded as such and not as 'null' Is there any way to load via SDK so that NaN values are uploaded as empty and not 'null'? Regards,Karina Saylema@Aditya Kotiyal @HanishSharma @Jason Dressel @Jairo Salaya @Liliana Sierra
@Ragnhild Byrkjeland, @perolssoen, and @Christopher Tannum After using the new scene functionality in CDF, there are several things that I like about the application but also am experiencing some challenges that I believe need to be addressed before we can get end users to leverage the application:the asset layer seems to take a while to load on the backend. Not sure if there’s a way to set this up to load faster? once assets are loaded, the pop-up window that shows the contextualized information is very glitchy - rendering it almost un-useable In general it doesn’t seem like the asset overlay is very reactive to a click of the mouse, but more of a hover over which seems less intuitive for end users It would be great to have a speed slider - like the one that was present in remote - to fine-tune the navigation. This will be particularly helpful when we bring in our subsea models into the scene It would be great if we could set certain attributes to default to be toggled “off” when firs
Hi, EveryoneHow can sum several time series? For example:Times series # 1Times series #2How can sum these time series if the filter just taking one id ts{id=001}Regards, Liliana Sierra@Aditya Kotiyal @HanishSharma @Jason Dressel @Jairo Salaya
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Hello Community Members,I am delighted to announce that from today, the Cognite Python SDK now has support for Time Series Data Quality Status codes.Using the SDK, you may retrieve data points including their status codes, and filter on status codes if desired. You may also insert data points with status codes.For a full description of all the methods and functionality, please refer to the Python SDK Documentation and our Developer DocumentationWhilst this functionality remains in Beta maturity, we are targeting the upcoming June release for General Availability. Cognite relies on customer feedback as key part of its product maturation process, and customers are warmly encouraged to begin implementation of support for data quality status codes and to provide the valuable feedback necessary to allow us to make this feature Generally Available.Thank you for your continued support! Glen
I am trying to trigger multiple workflow through function. I have a function(function name = "wk-func") that will trigger workflow instances(workflow name = ra-wkflw'), it has for loop , number of times workflow instances to be created, keeping in mind instances limit to be 50, still it is giving error for run on even 2 isntances, Function has following handle: def handle(client,handle): for chunk in chunks(list,2): workflow_input = { "abc":data['value'] } run = client.workflows.executions.trigger( workflow_external_id='ra-wkflw', version=1,input=workflow_input ) Its working if I run at my local IDE with passing the client details and trigger function handle. It triggers multiple workflows without any error.However, On running function using SDK,input_data = { ‘abc’:’hey’}client.functions.call(external_id ="wk-func", data = input_data)Function is completed, however, workflow instance is not being triggered and following error i
I have a calculation on a chart that was working well for quite a while, Then there was a network issue that stopped the data source from streaming data (this is the big triangular shape in the image below). Even though the data streaming got restored a short while after that, the issue I have is that the calculated value (the brown line) never got back to working. There was a short blip of time where it looked like it was working but that was just random values for a while. Does anyone know where I can see any logs associated with this calculation? I know you can’t edit the calculation - you have to delete it and create a new one - I guess I will likely do that but would also like to find out what the reason is for this calculation just stopping and not restarting properly?
Hi. For some reason my events retreived via the CDF data source for Grafana come with time stamps in epoch format:In the examples given in the documentation, events are returned with a human-readable time format. Any idea what I am doing wrong here?
December 15th 2022 - SLB Offices @ Pune, IndiaOn the week of Dec 12th to Dec 16th, Maureen Byrne (Software Engineer), Maria Fonseca (Technical Support Engineer) and me (Data Engineer) travelled to Pune, India, to deliver the first Cognite Data Fusion Bootcamp for eighteen participants from SLB and Infosys. This training delivery marks a milestone for customer and partners of Cognite: this is the first training where Cognite instructors guide them through an end-to-end deployment of Cognite Data Fusion, including data integrations and solution-building.The bootcamp is an intensive 5-day training program that focuses on a complete deployment, bringing the different steps together with DevOps best practices from CDF bootstrapping to solution deployment, monitoring, and operations. Congratulations to the participants of the first bootcamp for gaining their Cognite Data Fusion Bootcamp Certificate!The three of us were very impressed by how fast the participants adopted DataOps tools and pra
Doing the ‘hands-on’ for Data Engineer Basics - “Learn to Use the Cognite Python SDK “ Course."The instructions said “Make sure that the data set is write-protected”. So I had under Step 1:I then ran without error:That was YESTERDAY.TODAY, the 2nd block of commands threw an error: “CogniteAPIError: Resource not found. This may also be due to insufficient access rights. | code: 403 | X-Request-ID: f9083e61-8310-9462-9fb6-69f8da1299f3”So, after trying this and that, I changed the generated data_set to write protected = False in the 1st block of code above. --- > The 2nd block of commands now works, just like YESTERDAY. Q1. Why did ‘write protected = True’ work YESTERDAY, but not TODAY, giving Error 403?Q2. Why does ‘write protected = False’ work, but not ‘write protected = True’ , TODAY, that is?From where does this inconsistency come? Someone?Thank you!Douglas
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