DefaultAzureCredential failed to retrieve a token from the included credentials.

Inizia con la costruzione di AzureVMCluster mostrata nell’issue e segui il percorso di autenticazione di Azure CLI che produce l’errore DefaultAzureCredential. Confronta le istruzioni di autenticazione nella documentazione di Azure collegata con l’output CLI segnalato; il lavoro è completato quando AzureVMCluster può creare un cluster usando l’autenticazione di Azure CLI senza l’errore delle credenziali.

What happened:
After following the authentication instructions using the Azure CLI, I'm unable to create a cluster on Azure.

Minimal Complete Verifiable Example:

cluster = AzureVMCluster(
    location=<location>,
    resource_group=<resource_group>,
    vnet=<vnet>,
    security_group=<security_group>,
    n_workers=1)

Anything else we need to know?:

DefaultAzureCredential failed to retrieve a token from the included credentials.
Attempted credentials:
	EnvironmentCredential: EnvironmentCredential authentication unavailable. Environment variables are not fully configured.
Visit https://aka.ms/azsdk/python/identity/environmentcredential/troubleshoot to troubleshoot.this issue.
	ManagedIdentityCredential: ManagedIdentityCredential authentication unavailable, no response from the IMDS endpoint.
	SharedTokenCacheCredential: SharedTokenCacheCredential authentication unavailable. No accounts were found in the cache.
	VisualStudioCodeCredential: Failed to get Azure user details from Visual Studio Code.
	AzureCliCredential: Unexpected output from Azure CLI: 'bash: /opt/conda/envs/rapids/lib/libtinfo.so.6: no version information available (required by bash)
{
  ****,
  "expiresOn": "2022-03-28 18:00:36.000000",
  "subscription": "#####",
  "tenant": "#####",
  "tokenType": "Bearer"
}
'. 
To mitigate this issue, please refer to the troubleshooting guidelines here at https://aka.ms/azsdk/python/identity/azclicredential/troubleshoot.
To mitigate this issue, please refer to the troubleshooting guidelines here at https://aka.ms/azsdk/python/identity/defaultazurecredential/troubleshoot.
Exception ignored in: <function Cluster.__del__ at 0x7f5770e9adc0>
Traceback (most recent call last):
  File "/opt/conda/envs/rapids/lib/python3.8/site-packages/distributed/deploy/cluster.py", line 196, in __del__
    if self.status != Status.closed:
AttributeError: 'AzureVMCluster' object has no attribute 'status'
---------------------------------------------------------------------------
ClientAuthenticationError                 Traceback (most recent call last)
<timed exec> in <module>

/opt/conda/envs/rapids/lib/python3.8/site-packages/dask_cloudprovider/azure/azurevm.py in __init__(self, location, resource_group, vnet, security_group, public_ingress, vm_size, scheduler_vm_size, vm_image, disk_size, bootstrap, auto_shutdown, docker_image, debug, marketplace_plan, **kwargs)
    554         }
    555         self.worker_options = {"vm_size": self.vm_size, **self.options}
--> 556         super().__init__(debug=debug, **kwargs)

/opt/conda/envs/rapids/lib/python3.8/site-packages/dask_cloudprovider/generic/vmcluster.py in __init__(self, n_workers, worker_class, worker_options, scheduler_options, docker_image, docker_args, extra_bootstrap, env_vars, security, protocol, debug, **kwargs)
    294         self.uuid = str(uuid.uuid4())[:8]
    295 
--> 296         super().__init__(**kwargs, security=self.security)
    297 
    298     async def call_async(self, f, *args, **kwargs):

/opt/conda/envs/rapids/lib/python3.8/site-packages/distributed/deploy/spec.py in __init__(self, workers, scheduler, worker, asynchronous, loop, security, silence_logs, name, shutdown_on_close, scheduler_sync_interval)
    258         if not self.asynchronous:
    259             self._loop_runner.start()
--> 260             self.sync(self._start)
    261             try:
    262                 self.sync(self._correct_state)

/opt/conda/envs/rapids/lib/python3.8/site-packages/distributed/utils.py in sync(self, func, asynchronous, callback_timeout, *args, **kwargs)
    307             return future
    308         else:
--> 309             return sync(
    310                 self.loop, func, *args, callback_timeout=callback_timeout, **kwargs
    311             )

/opt/conda/envs/rapids/lib/python3.8/site-packages/distributed/utils.py in sync(loop, func, callback_timeout, *args, **kwargs)
    374     if error:
    375         typ, exc, tb = error
--> 376         raise exc.with_traceback(tb)
    377     else:
    378         return result

/opt/conda/envs/rapids/lib/python3.8/site-packages/distributed/utils.py in f()
    347                 future = asyncio.wait_for(future, callback_timeout)
    348             future = asyncio.ensure_future(future)
--> 349             result = yield future
    350         except Exception:
    351             error = sys.exc_info()

/opt/conda/envs/rapids/lib/python3.8/site-packages/tornado/gen.py in run(self)
    760 
    761                     try:
--> 762                         value = future.result()
    763                     except Exception:
    764                         exc_info = sys.exc_info()

/opt/conda/envs/rapids/lib/python3.8/site-packages/dask_cloudprovider/generic/vmcluster.py in _start(self)
    336             "Hang tight! ",
    337         ):
--> 338             await super()._start()
    339 
    340     def render_process_cloud_init(self, process):

/opt/conda/envs/rapids/lib/python3.8/site-packages/distributed/deploy/spec.py in _start(self)
    291                 cls = import_term(cls)
    292             self.scheduler = cls(**self.scheduler_spec.get("options", {}))
--> 293             self.scheduler = await self.scheduler
    294         self.scheduler_comm = rpc(
    295             getattr(self.scheduler, "external_address", None) or self.scheduler.address,

/opt/conda/envs/rapids/lib/python3.8/site-packages/distributed/deploy/spec.py in _()
     57             async with self.lock:
     58                 if self.status == Status.created:
---> 59                     await self.start()
     60                     assert self.status == Status.running
     61             return self

/opt/conda/envs/rapids/lib/python3.8/site-packages/dask_cloudprovider/generic/vmcluster.py in start(self)
     85     async def start(self):
     86         self.cluster._log("Creating scheduler instance")
---> 87         ip = await self.create_vm()
     88         self.address = f"{self.cluster.protocol}://{ip}:8786"
     89         await self.wait_for_scheduler()

/opt/conda/envs/rapids/lib/python3.8/site-packages/dask_cloudprovider/azure/azurevm.py in create_vm(self)
     73 
     74     async def create_vm(self):
---> 75         [subnet_info, *_] = await self.cluster.call_async(
     76             self.cluster.network_client.subnets.list,
     77             self.cluster.resource_group,

/opt/conda/envs/rapids/lib/python3.8/site-packages/azure/core/paging.py in __next__(self)
    127         if self._page_iterator is None:
    128             self._page_iterator = itertools.chain.from_iterable(self.by_page())
--> 129         return next(self._page_iterator)
    130 
    131     next = __next__  # Python 2 compatibility.

/opt/conda/envs/rapids/lib/python3.8/site-packages/azure/core/paging.py in __next__(self)
     74             raise StopIteration("End of paging")
     75         try:
---> 76             self._response = self._get_next(self.continuation_token)
     77         except AzureError as error:
     78             if not error.continuation_token:

/opt/conda/envs/rapids/lib/python3.8/site-packages/azure/mgmt/network/v2020_06_01/operations/_subnets_operations.py in get_next(next_link)
    659             request = prepare_request(next_link)
    660 
--> 661             pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
    662             response = pipeline_response.http_response
    663 

/opt/conda/envs/rapids/lib/python3.8/site-packages/azure/core/pipeline/_base.py in run(self, request, **kwargs)
    209             else _TransportRunner(self._transport)
    210         )
--> 211         return first_node.send(pipeline_request)  # type: ignore

/opt/conda/envs/rapids/lib/python3.8/site-packages/azure/core/pipeline/_base.py in send(self, request)
     69         _await_result(self._policy.on_request, request)
     70         try:
---> 71             response = self.next.send(request)
     72         except Exception:  # pylint: disable=broad-except
     73             _await_result(self._policy.on_exception, request)

/opt/conda/envs/rapids/lib/python3.8/site-packages/azure/core/pipeline/_base.py in send(self, request)
     69         _await_result(self._policy.on_request, request)
     70         try:
---> 71             response = self.next.send(request)
     72         except Exception:  # pylint: disable=broad-except
     73             _await_result(self._policy.on_exception, request)

/opt/conda/envs/rapids/lib/python3.8/site-packages/azure/core/pipeline/_base.py in send(self, request)
     69         _await_result(self._policy.on_request, request)
     70         try:
---> 71             response = self.next.send(request)
     72         except Exception:  # pylint: disable=broad-except
     73             _await_result(self._policy.on_exception, request)

/opt/conda/envs/rapids/lib/python3.8/site-packages/azure/core/pipeline/_base.py in send(self, request)
     69         _await_result(self._policy.on_request, request)
     70         try:
---> 71             response = self.next.send(request)
     72         except Exception:  # pylint: disable=broad-except
     73             _await_result(self._policy.on_exception, request)

/opt/conda/envs/rapids/lib/python3.8/site-packages/azure/core/pipeline/_base.py in send(self, request)
     69         _await_result(self._policy.on_request, request)
     70         try:
---> 71             response = self.next.send(request)
     72         except Exception:  # pylint: disable=broad-except
     73             _await_result(self._policy.on_exception, request)

/opt/conda/envs/rapids/lib/python3.8/site-packages/azure/mgmt/core/policies/_base.py in send(self, request)
     45         # type: (PipelineRequest[HTTPRequestType], Any) -> PipelineResponse[HTTPRequestType, HTTPResponseType]
     46         http_request = request.http_request
---> 47         response = self.next.send(request)
     48         if response.http_response.status_code == 409:
     49             rp_name = self._check_rp_not_registered_err(response)

/opt/conda/envs/rapids/lib/python3.8/site-packages/azure/core/pipeline/policies/_redirect.py in send(self, request)
    156         redirect_settings = self.configure_redirects(request.context.options)
    157         while retryable:
--> 158             response = self.next.send(request)
    159             redirect_location = self.get_redirect_location(response)
    160             if redirect_location and redirect_settings['allow']:

/opt/conda/envs/rapids/lib/python3.8/site-packages/azure/core/pipeline/policies/_retry.py in send(self, request)
    443                 start_time = time.time()
    444                 self._configure_timeout(request, absolute_timeout, is_response_error)
--> 445                 response = self.next.send(request)
    446                 if self.is_retry(retry_settings, response):
    447                     retry_active = self.increment(retry_settings, response=response)

/opt/conda/envs/rapids/lib/python3.8/site-packages/azure/core/pipeline/policies/_authentication.py in send(self, request)
    115         :type request: ~azure.core.pipeline.PipelineRequest
    116         """
--> 117         self.on_request(request)
    118         try:
    119             response = self.next.send(request)

/opt/conda/envs/rapids/lib/python3.8/site-packages/azure/core/pipeline/policies/_authentication.py in on_request(self, request)
     92 
     93         if self._token is None or self._need_new_token:
---> 94             self._token = self._credential.get_token(*self._scopes)
     95         self._update_headers(request.http_request.headers, self._token.token)
     96 

/opt/conda/envs/rapids/lib/python3.8/site-packages/azure/identity/_credentials/default.py in get_token(self, *scopes, **kwargs)
    170             return token
    171 
--> 172         return super(DefaultAzureCredential, self).get_token(*scopes, **kwargs)

/opt/conda/envs/rapids/lib/python3.8/site-packages/azure/identity/_credentials/chained.py in get_token(self, *scopes, **kwargs)
    106                     "https://aka.ms/azsdk/python/identity/defaultazurecredential/troubleshoot."
    107         _LOGGER.warning(message)
--> 108         raise ClientAuthenticationError(message=message)

ClientAuthenticationError: DefaultAzureCredential failed to retrieve a token from the included credentials.
Attempted credentials:
	EnvironmentCredential: EnvironmentCredential authentication unavailable. Environment variables are not fully configured.
Visit https://aka.ms/azsdk/python/identity/environmentcredential/troubleshoot to troubleshoot.this issue.
	ManagedIdentityCredential: ManagedIdentityCredential authentication unavailable, no response from the IMDS endpoint.
	SharedTokenCacheCredential: SharedTokenCacheCredential authentication unavailable. No accounts were found in the cache.
	VisualStudioCodeCredential: Failed to get Azure user details from Visual Studio Code.
	AzureCliCredential: Unexpected output from Azure CLI: 'bash: /opt/conda/envs/rapids/lib/libtinfo.so.6: no version information available (required by bash)
{
  ****,
  "expiresOn": "2022-03-28 18:00:36.000000",
  "subscription": "#####",
  "tenant": "#####",
  "tokenType": "Bearer"
}
'. 
To mitigate this issue, please refer to the troubleshooting guidelines here at https://aka.ms/azsdk/python/identity/azclicredential/troubleshoot.
To mitigate this issue, please refer to the troubleshooting guidelines here at https://aka.ms/azsdk/python/identity/defaultazurecredential/troubleshoot.

Environment:

• Dask version: 2022.3.0
• Dask Cloud Provider version: 2022.3.3
• Python version: 3.8.13
• Operating System: Ubuntu 20.04
• Install method (conda, pip, source): pip