Data in 'Learn to Use the Cognite Python SDK' is not as intended

Hi @lchutny 

Are you using the notebook that belongs to the course? From the authentication part - could you tell me the cdf-project you are connected to?

 

Hi, Sofie. Yes, I’m using the notebook as downloaded from the Github repo. The cdf project is `ds-basics`

CDF_CLUSTER = "westeurope-1"

COGNITE_PROJECT = "ds-basics"

BASE_URL = f"https://{CDF_CLUSTER}.cognitedata.com"

SCOPES = [f"{BASE_URL}/.default"]

Hi, Sofie. Finally getting back to this, and one of the places that there are empty cells in workbook 2: metadata Filtering - essentially there are no metadata keys

c.assets.list(limit=5).to_pandas()['metadata'][4] 

returns no results. So the subsequent list returns nothing either:

c.assets.list(metadata={'ELC_STATUS_ID': '1211'},limit=5)

But I’m still able to work through the notebook.

Thanks for the heads up @lchutny  

I’ll add it to my to-do list to get i checked. In the meantime just continue. 

@Sofie Haug a few more for you:

1. none of the datasets have any metadata, so the section on filtering using metadata returns nothing.
2. None of the timeseries have step-wise data, so the filter on ‘is_step=True’ returns nothing
3. The datasets from the Open Industrial Data project seem to be missing, a fuzzy search on name =”23-HA-9114” returns nothing.

Subsequently the ‘Try it yourself’ section where you have to search for a compressor and find all time series in the asset’s subtree doesn’t work. Asset “2ND STAGE COMPRESSOR-PH” doesn’t exist in the ds-basics workspace any longer.