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Hello, I am working at HubOcean as a backend engineer and I need to access the logs for the API calls we make to CDF. Is there are procedure we can follow to get the logs?

We (HUB Ocean) have refactored the metadata schema in data files stored at CDF and considered to reingest the datasets based on the new capability. We plan to purge everything in production environment to have a clean new start. I am wondering if there is any admin role in Cognite who can perform fully cleanup for a tenant´s environment which is Hub Ocean´s oceandata environment? Or Cognite has any script to do that? It would speed up us quite a lot with reingestion of data.It would be great to have a chat before the purge action is taken.  /Pinghua

Can Cognite Write back to the controller? Or in other words, is it just an open loop solution or can be integrated to work as closed loop system ?

Hi AllCreated a database as per the instructions but unable to create table,I followed training instruction and give table name “assets” and when uploading CSV file and I could not see option called "I don't know the primary key".

Hi.It would be useful to access metadata from time series in Grafana. Some of our time series contain simple integers 0, 1, 2..,  and the meaning of each value is a string described in a metadata field set on the time series. Could this functionality be added to the CDF Grafana data source? Or is there a way to access this information in Grafana through another Grafana plugin? I see that there is a CDF PostgreSQL gateway, but its documentation says that it’s only for writing data to CDF, so assume this cannot be used for fetching timeseries metadata through the Grafana PostgreSQL data source?  

Hi Experts, Few queries: Can I create a ML model directly using CDF functions? - I believe we can. If yes, how can I retrain a model without using any external AI platform? Can I use workflow orchestration to retrain a model with new data? Thanks,Aditya

I want to move data from CDF Raw Database in Dev and Load it to CDF Prod.Could someone please let me know if there is a way in Cognite. 

In Data management / Integrate / Transform Data you can create and edit SQL code to transform your data. Is it possible to backup/synchronize those code with github? I am thinking about possible proliferation and duplication of many transformation pipelines, repeated code snippets, have to correct /update the same code in multiple transformations. Thanks!

Hi Team, I want to change the message for the custom extractor’s run history message by python sdk. Right now, message says “successful shutdown” after successfully running the extractor, but I want to change it with how many datapoints are uploading and in how much time.I tried to do it by following methods:By using abstract class Extractor in our code to overwrite the _report_success method’s message.       2.By using this method  cognite.extractorutils.util.add_extraction_pipeline(extraction_pipeline_ext_id: str, cognite_client: CogniteClient, heartbeat_waiting_time: int = 600, added_message: str = '')       3. By using below class too:cclient.data_classes.extractionpipelines.ExtractionPipeline(id: int | None = None, external_id: str | None = None, last_message: str | None = None)  There is no way of passing the custom message here in my knowledge if it’s there let me know!And is there any way to pass logs in extraction pipeline?

I am able to access Cognite data fusion fundamentals course, but not able to access Cognite functions course.kindly help me this issue.

How can we use hybrid configs (local and remote) in custom extractor utils?Edit: while trying to consume combination of local and remote configs (published in extraction pipeline mentioned in local config), it just loads local configs. example configs:type: localcognite:    extraction_pipeline:        external_id: extraction-pipeline-idcustom:    property1: some-valuetype: remotecustom:    property2: some-value 

Does Cognite copies all data from data sources to staging area?If yes, is there any limitation of datapoints/ size of data? Does size of data, affects the performance of CDF or any other functionalities? 

I have Cognite functions that are being reused, but I need to define correct inputs.Today I have scheduled jobs that run for each function/input and they depend on one another to run. I arbitrarily set 30min difference from the schedule for hopefully one start when the other finished. But I’m already seeing problems with timeouts, so I may need to break the functions in smaller steps so they can finish on time, but I won’t be able to hope the schedule match as this will be much more complicated than my current scenario.Today, while looking at the workflow I notice that I cannot pass a input for each function thru the UI. Is that intentional? Is there another way to reuse functions using workflow?

Hi Cognite TeamPlease let me know if you have any course on Flexible Data Modelling on learn.cognite.com with hands-on exercises.Will be waiting to hear back something positive from you. Cheers!

 Appears to be an obvious question, may have been asked before. Just wondering if there is an extractor available to read the spreadsheet files and load it into raw/staged data. The Excel can contain multiple spread sheet and perhaps with configuration each of that spreadsheet and its columns can be mapped to the staged tables/columns? 

I updated and published a new version of the flow. When I am trying to run the updated flow it is still running the older version.Below is the updated version -  Below is the version after initiating the Run  

How can the Cognite SAP extractor be linked to the SAP BW system?Could you offer comprehensive documentation regarding this connection?We are aware that the extractor mentions compatibility with SAP BW.

Failed to resolve 'CraftBrewData.brew_assets'. API responded with: 403 Subject does not have 'READ' action for one of the specified tables. Getting the above error when I try do any transform on raw tables. Using default credentials which generate when I press run

Hi.We’re looking at how to work with larger geographic areas - inflow catchments for our hydropower reservoirs. The smallest one being a polygon with 3119 coordinates. Trying to create these catchments as assets with geolocation fails, due to the size limit on the GeoLocation field. Error message: “Maximum size of GeoLocation field is 10240.”I assume this means that the preferred approach is to use GeoSpatial, rather than assets with a geolocation field? If so, is the assetIds property the preferred way to connect GeoSpatial objects to assets?  And is there a simple way to retrieve the shape of an asset using the Python SDK? (something equivalent to using asset.geolocation?) Also; Any plans for showing geolocation ar geospatial information in the Fusion UI? 

I am learning GraphQL queries in Congite by following the documentation About data modeling | Cognite DocumentationHow can I add an additional filter condition based on functionalLocationParent object name value.query{listEquipment (filter: {and: [{catalogProfileDescription: {eq: "Compressors"}}]}) {  items {     externalId    name    description     catalogProfileDescription    functionalLocationParent {      name      description    }    cfihosEquipmentClass {      name      description    }  }}}

Hi.Is it possible to update the geolocatoin of assets using the Python SDK?It seems I’m able to update the asset with a geolocation that renders the SDK unable to interact further with the asset. Example below: ## Create a new asset with geolocationdsid = <data set id>from cognite.client.data_classes import GeoLocation, Asset, Geometrygeometry1 = Geometry( type="Point", coordinates=[9.6573149,59.142253] )asset = Asset( name="geotest", data_set_id=dsid, geo_location=GeoLocation( type="Feature", geometry=geometry1 ))res = client.assets.create(asset)## List all assets matching the name .. it works wellclient.assets.list(name="geotest") ## Update the geolocation, returns KeyError: 'type'geometry2 = Geometry( type="Point", coordinates=[8.6573149,57.142253] )res.geo_location = geometry2res2 = client.assets.update([res])## Now try to list the assets again. It fails, returning KeyError: 'type'client.assets.list(name="geotest") 

while connecting to Powerbi I am getting this error.! access_denied: AADSTS50052: The app is trying to access a service '7ca96- b66-4a2-b4-17a5c3f68ac4'(Cognitedata API: europe-west1-1) that your organization '9c52-3833-46c4-bc-8bc70ee52' lacks a service principal for. Contact your IT Admin to review the configuration of your service subscriptions or consent to the application in order to create the required service principal. Trace ID: f1efa-e663-4167-a1cb-bd8482300 Correlation ID: 7cce22-0f55-420d-801-002d835ed Timestamp: 2024-02-08 09:57:26Z.

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.