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Thank you for your answer! This definitely sounds like something we could use, and would love to hear more. We've already discussed internally that we should have a meeting with your timeseries-team to present our needs, while also learning what's in the pipeline from your side. I'll follow this up internally, and you'll probably hear from us.
I’m not sure if Sindre has the time to implement a solution for this, but another colleague of mine had an idea of a possible workaround that could have worked using token provider: def _create_client_from_token_provider( client_name: str, env: Env, token_provider: Callable): cdf_client = CogniteClient( ClientConfig( credentials=Token(token_provider), project=COGNITE_PROJECTS[env], base_url=f"https://{CDF_CLUSTER}.cognitedata.com", client_name=client_name, ) ) return cdf_clientdef create_client_from_azurecredentials( env: Env, client_name: str, credential: DefaultAzureCredential = None): if credential is None: credential = DefaultAzureCredential() def token_provider(): return credential.get_token(' '.join(SCOPES)).token return _create_client_from_token_provider(client_name, env, token_provider) However, this fails due to some missing admin consent or similar, but works when the u
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