refrsh token issue inside jupyter notebook

[Sadat Bin Faruque]

Does anyone know how to sole refrsh token issue inside jupyter notebook?

/opt/conda/lib/python3.11/site-packages/fabric_cm/credmgr/swagger_client/rest.py:45: DeprecationWarning: HTTPResponse.getheaders() is deprecated and will be removed in urllib3 v2.1.0. Instead access HTTPResponse.headers directly.
  return self.urllib3_response.getheaders()

---------------------------------------------------------------------------
TokenManagerException                     Traceback (most recent call last)
File /opt/conda/lib/python3.11/site-packages/fabrictestbed/token_manager/token_manager.py:251, in TokenManager.refresh_tokens(self, refresh_token)
    250         error_message = Utils.extract_error_message(exception=tokens)
--> 251         raise TokenManagerException(error_message)
    252 except Exception as e:

TokenManagerException: Internal Server Error - (invalid_grant) expired refresh token

During handling of the above exception, another exception occurred:

TokenManagerException                     Traceback (most recent call last)
Cell In[5], line 8
      6 import random
      7 from fabrictestbed_extensions.fablib.fablib import FablibManager as fablib_manager
----> 8 fablib = fablib_manager()

File /opt/conda/lib/python3.11/site-packages/fabrictestbed_extensions/fablib/fablib.py:712, in FablibManager.__init__(self, fabric_rc, credmgr_host, orchestrator_host, core_api_host, am_host, token_location, project_id, bastion_username, bastion_key_location, log_level, log_file, data_dir, output, execute_thread_pool_size, offline, auto_token_refresh, **kwargs)
    710 if not offline:
    711     self.ssh_thread_pool_executor = ThreadPoolExecutor(execute_thread_pool_size)
--> 712     self.__build_manager()
    713 self.required_check()
    714 self.lock = threading.Lock()

File /opt/conda/lib/python3.11/site-packages/fabrictestbed_extensions/fablib/fablib.py:1186, in FablibManager.__build_manager(self)
   1184 except Exception as e:
   1185     logging.error(e, exc_info=True)
-> 1186     raise e
   1188 return self.manager

File /opt/conda/lib/python3.11/site-packages/fabrictestbed_extensions/fablib/fablib.py:1165, in FablibManager.__build_manager(self)
   1162 Utils.is_reachable(hostname=self.get_orchestrator_host())
   1163 Utils.is_reachable(hostname=self.get_core_api_host())
-> 1165 self.manager = FabricManager(
   1166     oc_host=self.get_orchestrator_host(),
   1167     cm_host=self.get_credmgr_host(),
   1168     core_api_host=self.get_core_api_host(),
   1169     am_host=self.get_am_host(),
   1170     project_id=self.get_project_id(),
   1171     token_location=self.get_token_location(),
   1172     initialize=True,
   1173     scope="all",
   1174     auto_refresh=self.auto_token_refresh,
   1175 )
   1176 self.manager.initialize()
   1177 logging.debug("Fabric manager initialized!")

File /opt/conda/lib/python3.11/site-packages/fabrictestbed/fabric_manager.py:66, in FabricManager.__init__(self, cm_host, oc_host, core_api_host, am_host, token_location, project_id, scope, initialize, project_name, auto_refresh)
     63 def __init__(self, *, cm_host: str = None, oc_host: str = None, core_api_host: str = None, am_host: str = None,
     64              token_location: str = None, project_id: str = None, scope: str = "all", initialize: bool = True,
     65              project_name: str = None, auto_refresh: bool = True):
---> 66     super().__init__(cm_host=cm_host, oc_host=oc_host, token_location=token_location,
     67                      project_id=project_id, scope=scope, initialize=initialize, project_name=project_name,
     68                      auto_refresh=auto_refresh)
     69     if core_api_host is None:
     70         core_api_host = os.environ.get(Constants.FABRIC_CORE_API_HOST)

File /opt/conda/lib/python3.11/site-packages/fabrictestbed/slice_manager/slice_manager.py:50, in SliceManager.__init__(self, cm_host, oc_host, token_location, project_id, scope, initialize, project_name, auto_refresh)
     48 def __init__(self, *, cm_host: str = None, oc_host: str = None, token_location: str = None, project_id: str = None,
     49              scope: str = "all", initialize: bool = True, project_name: str = None, auto_refresh: bool = True):
---> 50     super().__init__(cm_host=cm_host, token_location=token_location, project_id=project_id, scope=scope,
     51                      project_name=project_name, auto_refresh=auto_refresh, initialize=initialize)
     52     if oc_host is None:
     53         oc_host = os.environ.get(Constants.FABRIC_ORCHESTRATOR_HOST)

File /opt/conda/lib/python3.11/site-packages/fabrictestbed/token_manager/token_manager.py:107, in TokenManager.__init__(self, cm_host, token_location, project_id, scope, project_name, auto_refresh, initialize)
    104 self.user_email = None
    106 if initialize:
--> 107     self.initialize()

File /opt/conda/lib/python3.11/site-packages/fabrictestbed/token_manager/token_manager.py:116, in TokenManager.initialize(self)
    110 """
    111 Initialize the Slice Manager object
    112 - Load the tokens
    113 - Refresh if needed
    114 """
    115 if not self.initialized:
--> 116     self._load_tokens()
    117     self.initialized = True

File /opt/conda/lib/python3.11/site-packages/fabrictestbed/token_manager/token_manager.py:189, in TokenManager._load_tokens(self, refresh)
    187 # Renew the tokens to ensure any project_id changes are taken into account
    188 if refresh and self.auto_refresh and refresh_token:
--> 189     self.refresh_tokens(refresh_token=refresh_token)

File /opt/conda/lib/python3.11/site-packages/fabrictestbed/token_manager/token_manager.py:254, in TokenManager.refresh_tokens(self, refresh_token)
    252 except Exception as e:
    253     error_message = Utils.extract_error_message(exception=e)
--> 254     raise TokenManagerException(error_message)

TokenManagerException: Internal Server Error - (invalid_grant) expired refresh token

[Komal Thareja]

This error typically occurs due to an expired token. Please try the following steps:
Go to File → Hub Control Panel → Stop My Server, then select Start Server to generate a new token.

Thanks,

Komal

P.S: https://learn.fabric-testbed.net/knowledge-base/using-the-jupyter-hub/#frequently-asked-questions

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