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Workaround to copy the following files seems to make conda happy. No luck finding the config parameter.
cp /opt/conda/conda-meta/certifi-2021.10.8-py39hf3d152e_2.json /opt/conda/conda-meta/certifi-2021.5.30-py39hf3d152e_0.json
cp /opt/conda/conda-meta/ca-certificates-2021.10.8-ha878542_0.json /opt/conda/conda-meta/ca-certificates-2021.5.30-ha878542_0.jsonBy default ca-certificates.json exists and is not corrupted. After the first install using the conda, ca-certificates and certifi package gets updated. Even though ca-certificates and certifi packages were updated, conda still seems to be looking for older versions. Thus resulting in any subsequent install failures. I am looking at ways on how to reset conda to avoid such failures. In the meanwhile, could you please share the packages you need to install for your notebook? I can see if I can add them to the default notebook container image.
Snapshot before the install.
I am able to reproduce the error and found this to be a bug in the code. We would address it in the next release.
User should be able to get to the respective node components using the get_slice API:
`status, topology = slice_manager.get_slice(slice_id=slice_id)
if status == Status.OK:
print(f”Properties: {topology.nodes[‘n1’].list_properties()}”)
print(f”Components: {topology.nodes[‘n1’].components}”)
print(f”Component: {topology.nodes[‘n1’].components[‘c1’]}”)
else:
print(f”Failed to get slice topology: {topology}”)`However, I think we have bug which is preventing the components from being listed in the output of the above snippet.
