Hi Team, We are working on a POC , where we need to create unit test cases where we are facing different issues .For reference we are using code from Cognite HubBelow attaching our code and output expectations .Please help with the approach to resolve this issue ts_retrieved = [ TimeSeries( id= 3973245479016710, external_id= "Brazil:3W:Well-Bore-19B_target_throughput", name= "Brazil:3W:Well-Bore-19B_target_throughput", is_string= False, metadata= {}, unit= "Barrel", asset_id= 3332326574821917, is_step= False, description= "target volume for a oil well bore", security_categories= [], data_set_id= 8739280581150161, created_time= "2023-05-02 09:37:04.944000", last_updated_time= "2023-05-02 09:37:04.944000")]@pytest.fixturedef cognite_client_mock(): with monkeypatch_cognite_client() as client: client.assets.retrieve().time_series().get().return_value = ts_retrieved return client Method code ts_data = c.assets.retrieve(
Not able to access CDF portalsAccenture -Cognite Data Fusion Learn -Cognite Data Fusion
Hi Team, I need to add feature of geolocation to asset using python SDK can you help me with getting the geometry format if i have latitude and longitude information available with me . I have added the geolocation the asset but the same is not reflected to cdf ui .
Hi Team, Could you please provide more attempts on above assessment.
Course - CDF Enablement Bootcamp PreparationLink -Firewall check (cognite.com)Giving Not accessible to connections Attached the screenshot for reference.
working-with-cognite-infield - Asset overview Page
While running Notebook 2 List_Search_Retrieve even when i am getting authentication completed
Course name - Learn to Use the Cognite Python SDK File name - 1_Authentication.ipynbGiving error - CogniteAuthError: Error generating access token: invalid_client, 401, AADSTS7000215: Invalid client secret provided. Ensure the secret being sent in the request is the client secret value, not the client secret ID, for a secret added to app 'fab52bb5-9de2-4f9e-aefa-712da4b5fe00'. Trace ID: f02d8b23-9bee-47ae-8cae-880d1db31100 Correlation ID: 4ea3847d-20ef-4548-be07-9ffb86f58451 Timestamp: 2023-02-02 10:58:52ZCan someone help me resolve the same .
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