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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(
We are looking into cloud-optimized storage formats such as GeoTIFF, Parquet, etc. One of the things we are trying to determine is whether we could fully utilize such cloud optimized formats with CDF Files.Will the download-link returned by CDF Files allow us to do seek-operations and only download parts of the file?
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