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I am able to run the code in the given Google Colab sheet. But when I am running the same code in my IDE (Spyder or Jupyter),  I am facing Cognite Connection Error in step 3.Error message:  File ~\Python Projects\myenv\Lib\site-packages\urllib3\connectionpool.py:467 in _make_request    self._validate_conn(conn)  File ~\Python Projects\myenv\Lib\site-packages\urllib3\connectionpool.py:1096 in _validate_conn    conn.connect()  File ~\Python Projects\myenv\Lib\site-packages\urllib3\connection.py:642 in connect    sock_and_verified = _ssl_wrap_socket_and_match_hostname(  File ~\Python Projects\myenv\Lib\site-packages\urllib3\connection.py:782 in _ssl_wrap_socket_and_match_hostname    ssl_sock = ssl_wrap_socket(  File ~\Python Projects\myenv\Lib\site-packages\urllib3\util\ssl_.py:470 in ssl_wrap_socket    ssl_sock = _ssl_wrap_socket_impl(sock, context, tls_in_tls, server_hostname)  File ~\Python Projects\myenv\Lib\site-packages\urllib3\util\ssl_.py:514 in _ssl_wrap_socket_impl    return ssl

I changed my new phone so need to re-register Cognite Hub in Authenticator app again.Please help to reset for new register with my e-mail : speguan@rockwellautomation.com

Hello All, Does Cognite have regional servers available for South-East Asia or specifically for Indian sub-continent?Like aws asia pacific (mumbai) region.

I am trying to access the lab.cognite.com in my company laptop and not able to login. Is that path will not be accessible in company provided laptop rather should I use my personal laptop for lab sessions practice?Can anyone suggest on this?

Hi. In our CDF project, we have 19 time series whose external IDs ends with .EUR. Examples:NordPool.Price.Regulationmarket.RegulationDownPrices.NO1.EUR NordPool.Price.Actual.Dayahead.SE4.EUR NordPool.Price.Actual.Dayahead.NO2.EURUsing the CDF Grafana connector, I would expect that I could extract all of these using a “Time series custom query” like this: ts{externalId=~".*EUR"}However, the query only returns a single time series. The same problem occurs for trying to apply a regex filter on name or on a metadata value. E.g. ts{metadata={timeSeriesCategory=~'.*Lifetime'}} returns only 6 of our 116 “Remaining Lifetime” time series.Does anyone else have this problem? Is it a bug in the Grafana CDF connector?

Hello Team, I have recently completed my initial certification, and now I wanted to explore how my custom domain based AI-ML models can be integrated with Cognite. Is it possible to try this out using congnite-learn login credentials which is used for training. I would like to explore the possibilities of testing out my custom Python Apps on Cognite.

Is there any way like extraction pipeline apis to configure for Cognite MQTT Extractor?

Hi Team,I am trying to get details of broken files uploaded in CDF . Is there any way to query actual file size from CDF using python sdk without downloading the file? Please add a feature to query file size using python sdk to get the corrupted/broken files. Thanks in advance.

I was trying to create a flow to refresh all views in one of my solution model in a project. All my transformations are running individually without failing. But as soon as I run the Flow, only first transformation runs, the second one fails with an unclear message “Something went wrong”. I understand this is an EA features as of now, but I see a lot of application of this feature in one of our projects hence I am trying to setup some flows in it. Could you please help in checking if I am doing something wrong here?Task ID - 1dfb440d-c678-43a4-8c67-0d98467694e8 Flow Definition:[  {    "externalId": "tr-tr-SDM-WellStatus-Entity",    "type": "transformation",    "name": "1706783603193",    "parameters": {      "transformation": {        "externalId": "tr-tr-SDM-WellStatus-Entity",        "concurrencyPolicy": "fail"      }    },    "onFailure": "abortWorkflow",    "dependsOn": []  },  {    "externalId": "tr-tr-SDM-Well-Status-Hierarchy",    "type": "transformation",    "name": "1706783606

I am developing a outlier detection model. The model will be accessed by users through a Streamlit app. At the moment I am assessing whether deploying the model through the Streamlit page in CDF would be a good option. My issue is that I am not sure what the most efficient way to access and import the dataset into the app is. Would it be a good approach to create a data model and import the data from there, or extract the data straight from raw? Another idea I had was setting up a scheduled Cognite Function to download the data as a csv and letting the app access that. I need the data to be updated a few times a week and have the “import” time in the app to be fairly quick for the user experience in the app to be good.My dataset is around 1 million rows with three numeric and two non-numeric columns. For now, I have the data as a raw table in CDF.Thanks!

How can I use Machine Learning Models inside Cognite data fusion?

Hello, I am following the Learning path tutorial for CDF transformations.I’m in the step that I’m supposed to upload the csv data files to the RAW Database I’ve just created. After I select the file for upload the UI simply does nothing, poking around in DevTools I find out the upload request for the files I’m trying to upload is returning error 405 (Method Not Allowed).I am using the mocked files provided by the learning path tutorial: https://learn.cognite.com/path/data-engineer-basics-transform-and-contextualize/cdf-transformations-course/1196833 Am I doing something wrong, or is this a bug?

I am doing asset transformation asset Source Target key   categoryId   sourceDb source parentExternalId parentExternalId updatedDate   createdDate   externalId externalId isCriticalLine   description description tag   areaId   isActive   I don't have all the columns for mapping to target schemaThese are the rest target columns what to do if the mapping column is not there? and where should i add the rest additional columns from source? parentId metadata name dataSetId labels

Hi community,I have noticed a large discrepancy in runtime when running my handle function as a single Cognite Function call and when I run the handle function locally. And yes, this is the runtime of the actual CALL, not the creation/deployment of the Cognite Function. The handle function is doing some calculations on a time series with around 500 000 datapoints. Locally, it runs under 1 minute, while through Cognite Function call it takes around 9 minutes. Do you have any idea what could cause the large discrepancy?Thanks!

Hi all. I’ve been trying your tutorial on How to Connect CDF to Power BI, to no avail.I am not using SUbscriptions since I do not have the permissions to write one right now. So, I was just trying to execute via Time Series API or even submit a post via curl.But the problem is with the Power BI API’s URL. Eventhough I try to make a POST, by using curl, it’ll return response 401. Can anyone give me a hand here?Do I need an admin to give me write permissions?

Hi team,I have the following questions,How does CDF handle unit of measurement. Is there a concept of storage unit system and display units system Eg; If a certain time series dataset have Celsius scale and other have Fahrenheit and kelvin scale. How does CDF store these in dataset and does it offer functionality for conversion.  If I want to build a chart with multiple time series have data with different units, does CDF offer unit conversion on the fly so that I can have everything displayed in a different units? I would like to have a comprehensive documentation for it.

Hi,I was wondering where I can find information about how to set up the permissions for a file extractor reading only files from a few sites in SharePoint, i.e., not giving the extractor access to all sites. I have solved it using the GraphAPI, but this is quite cumbersome, so I was wondering if we have documentation on how this can be set up. I’ll post my solution below for clarity on how I solved the issue:_______________________________________________________________________________You will need to create two applications. One that is used in the file extractor and one to give access to the file extractor.Register the File Extractor App: Go to the Azure Active Directory portal. Click on "Azure Active Directory" then click on "App registrations". Click on "New registration" to register a new app. Grant API Permissions: Once your app is registered, click on the app's name to go to its dashboard. Click on "API permissions" in the left panel. Click "Add a permission". Choose "Mic

When I use the search function in Data Explorer it shows information from other locations that I am not interested in.  How can I search and show results only for my location?  Thank you.  

Hi There, We have multiple CDF transformations running on schedule for every 15 minutes. Sometimes these jobs are taking more than 15 minutes and leading to Transformation failure with an error - ‘A job already runs for this transform ’. Is there any provision for us in CDF to not run a job/transformation while it is running already. 

Hi,I’m trying to search for signals where I know some keywords in the name string. I’m not interested in any fuzzy matches but rather just like to see only results which contain a certain phrase. This seems not to be possible unless I activate fuzzy (which then gives to many results). Is there a way to activate “partial match” but without having fuzzy search activated?

Hi,Is it possible to display stepwise connection between datapoints in Charts rather than the standard linear interpolation?Thanks!

Greetings,I would like to get a view of which files uploaded to CDF through extractors have not been completely uploaded and only partially uploaded.In order to do this, I wanted to write a python script that compares the files sizes in the RAW metadata tables with the actual file sizes in CDF. The question is, is there a way to retrieve file size directly of a file in CDF through python SDK without having to download the files locally?Thanks in advance

As of today I think the Python SDK is only accessible via pip. While I can install a pip package into a conda environment, I don’t really like this solution. Are you planning on releasing a conda package for the Python SDK?

When I upload a file into Classic data model, how do I associate that file object to Flexible Data Model (FDM) object and retrieve the file object data using Graph API from FDM.   

I am looking for information related to 3d models. I would like to explore does reveal/cognite supports programmatic change of animation on 3d models which are uploaded to cdf. What i am looking for is, i have 3d model of pump and would like to change the animation speed depending on the speed i get from my api (basically real time speed which i get from my api). Does it possible ? If so could you guide me to example code to how to do that. Also the uploaded 3d model in cdf is not displaying like how the original model that was uploaded. After uploading into cdf its not displaying with colors and animations, could you tell me why it is like that ? Thanks