问Azure ML:将文件上载到步骤运行的输出-身份验证错误

EN

Run.upload_file (name, path_or_stream)

Traceback (most recent call last):
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_file_utils/upload.py", line 64, in upload_blob_from_stream
    validate_content=True)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_restclient/clientbase.py", line 93, in execute_func_with_reset
    return ClientBase._execute_func_internal(backoff, retries, module_logger, func, reset_func, *args, **kwargs)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_restclient/clientbase.py", line 367, in _execute_func_internal
    left_retry = cls._handle_retry(back_off, left_retry, total_retry, error, logger, func)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_restclient/clientbase.py", line 399, in _handle_retry
    raise error
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_restclient/clientbase.py", line 358, in _execute_func_internal
    response = func(*args, **kwargs)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_vendor/azure_storage/blob/blockblobservice.py", line 614, in create_blob_from_stream
    initialization_vector=iv
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_vendor/azure_storage/blob/_upload_chunking.py", line 98, in _upload_blob_chunks
    range_ids = [f.result() for f in futures]
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_vendor/azure_storage/blob/_upload_chunking.py", line 98, in <listcomp>
    range_ids = [f.result() for f in futures]
  File "/opt/miniconda/lib/python3.7/concurrent/futures/_base.py", line 435, in result
    return self.__get_result()
  File "/opt/miniconda/lib/python3.7/concurrent/futures/_base.py", line 384, in __get_result
    raise self._exception
  File "/opt/miniconda/lib/python3.7/concurrent/futures/thread.py", line 57, in run
    result = self.fn(*self.args, **self.kwargs)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_vendor/azure_storage/blob/_upload_chunking.py", line 210, in process_chunk
    return self._upload_chunk_with_progress(chunk_offset, chunk_bytes)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_vendor/azure_storage/blob/_upload_chunking.py", line 224, in _upload_chunk_with_progress
    range_id = self._upload_chunk(chunk_offset, chunk_data)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_vendor/azure_storage/blob/_upload_chunking.py", line 269, in _upload_chunk
    timeout=self.timeout,
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_vendor/azure_storage/blob/blockblobservice.py", line 1013, in _put_block
    self._perform_request(request)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_vendor/azure_storage/common/storageclient.py", line 432, in _perform_request
    raise ex
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_vendor/azure_storage/common/storageclient.py", line 357, in _perform_request
    raise ex
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_vendor/azure_storage/common/storageclient.py", line 343, in _perform_request
    HTTPError(response.status, response.message, response.headers, response.body))
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_vendor/azure_storage/common/_error.py", line 115, in _http_error_handler
    raise ex
azure.common.AzureHttpError: Server failed to authenticate the request. Make sure the value of Authorization header is formed correctly including the signature. ErrorCode: AuthenticationFailed
<?xml version="1.0" encoding="utf-8"?><Error><Code>AuthenticationFailed</Code><Message>Server failed to authenticate the request. Make sure the value of Authorization header is formed correctly including the signature.
RequestId:5d4e1b7e-c01e-0070-0d47-9bf8a0000000
Time:2021-08-27T13:30:02.2685991Z</Message><AuthenticationErrorDetail>Signature did not match. String to sign used was rcw
2021-08-27T13:19:56Z
2021-08-28T13:29:56Z
/blob/mystorage/azureml/ExperimentRun/dcid.98d11a7b-2aac-4bc0-bd64-bb4d72e0e0be/outputs/models/Model.pkl

2019-07-07
b

</AuthenticationErrorDetail></Error>

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/mnt/batch/tasks/shared/LS_root/jobs/.../azureml-setup/context_manager_injector.py", line 243, in execute_with_context
    runpy.run_path(sys.argv[0], globals(), run_name="__main__")
  File "/opt/miniconda/lib/python3.7/runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)
  File "/opt/miniconda/lib/python3.7/runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "/opt/miniconda/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "401_AML_Pipeline_Time_Series_Model_Training_Azure_ML_CPU.py", line 318, in <module>
    main()
  File "401_AML_Pipeline_Time_Series_Model_Training_Azure_ML_CPU.py", line 286, in main
    path_or_stream=model_path)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/core/run.py", line 53, in wrapped
    return func(self, *args, **kwargs)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/core/run.py", line 1989, in upload_file
    datastore_name=datastore_name)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_restclient/artifacts_client.py", line 114, in upload_artifact
    return self.upload_artifact_from_path(artifact, *args, **kwargs)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_restclient/artifacts_client.py", line 107, in upload_artifact_from_path
    return self.upload_artifact_from_stream(stream, *args, **kwargs)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_restclient/artifacts_client.py", line 99, in upload_artifact_from_stream
    content_type=content_type, session=session)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_restclient/artifacts_client.py", line 88, in upload_stream_to_existing_artifact
    timeout=TIMEOUT, backoff=BACKOFF_START, retries=RETRY_LIMIT)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_file_utils/upload.py", line 71, in upload_blob_from_stream
    raise AzureMLException._with_error(azureml_error, inner_exception=e)
azureml._common.exceptions.AzureMLException: AzureMLException:
    Message: Encountered authorization error while uploading to blob storage. Please check the storage account attached to your workspace. Make sure that the current user is authorized to access the storage account and that the request is not blocked by a firewall, virtual network, or other security setting.
    StorageAccount: mystorage
    ContainerName: azureml
    StatusCode: 403
    InnerException Server failed to authenticate the request. Make sure the value of Authorization header is formed correctly including the signature. ErrorCode: AuthenticationFailed
<?xml version="1.0" encoding="utf-8"?><Error><Code>AuthenticationFailed</Code><Message>Server failed to authenticate the request. Make sure the value of Authorization header is formed correctly including the signature.
RequestId:5d4e1b7e-c01e-0070-0d47-9bf8a0000000
Time:2021-08-27T13:30:02.2685991Z</Message><AuthenticationErrorDetail>Signature did not match. String to sign used was rcw
2021-08-27T13:19:56Z
2021-08-28T13:29:56Z
/blob/mystorage/azureml/ExperimentRun/dcid.98d11a7b-2aac-4bc0-bd64-bb4d72e0e0be/outputs/models/Model.pkl

2019-07-07
b

</AuthenticationErrorDetail></Error>
    ErrorResponse 
{
    "error": {
        "code": "UserError",
        "message": "Encountered authorization error while uploading to blob storage. Please check the storage account attached to your workspace. Make sure that the current user is authorized to access the storage account and that the request is not blocked by a firewall, virtual network, or other security setting.\n\tStorageAccount: mystorage\n\tContainerName: azureml\n\tStatusCode: 403",
        "inner_error": {
            "code": "Auth",
            "inner_error": {
                "code": "Authorization"
            }
        }
    }
}

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "401_AML_Pipeline_Time_Series_Model_Training_Azure_ML_CPU.py", line 318, in <module>
    main()
  File "401_AML_Pipeline_Time_Series_Model_Training_Azure_ML_CPU.py", line 286, in main
    path_or_stream=model_path)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/core/run.py", line 53, in wrapped
    return func(self, *args, **kwargs)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/core/run.py", line 1989, in upload_file
    datastore_name=datastore_name)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_restclient/artifacts_client.py", line 114, in upload_artifact
    return self.upload_artifact_from_path(artifact, *args, **kwargs)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_restclient/artifacts_client.py", line 107, in upload_artifact_from_path
    return self.upload_artifact_from_stream(stream, *args, **kwargs)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_restclient/artifacts_client.py", line 99, in upload_artifact_from_stream
    content_type=content_type, session=session)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_restclient/artifacts_client.py", line 88, in upload_stream_to_existing_artifact
    timeout=TIMEOUT, backoff=BACKOFF_START, retries=RETRY_LIMIT)
  File "/opt/miniconda/lib/python3.7/site-packages/azureml/_file_utils/upload.py", line 71, in upload_blob_from_stream
    raise AzureMLException._with_error(azureml_error, inner_exception=e)
UserScriptException: UserScriptException:
    Message: Encountered authorization error while uploading to blob storage. Please check the storage account attached to your workspace. Make sure that the current user is authorized to access the storage account and that the request is not blocked by a firewall, virtual network, or other security setting.
    StorageAccount: mystorage
    ContainerName: azureml
    StatusCode: 403
    InnerException AzureMLException:
    Message: Encountered authorization error while uploading to blob storage. Please check the storage account attached to your workspace. Make sure that the current user is authorized to access the storage account and that the request is not blocked by a firewall, virtual network, or other security setting.
    StorageAccount: mystorage
    ContainerName: azureml
    StatusCode: 403
    InnerException Server failed to authenticate the request. Make sure the value of Authorization header is formed correctly including the signature. ErrorCode: AuthenticationFailed
<?xml version="1.0" encoding="utf-8"?><Error><Code>AuthenticationFailed</Code><Message>Server failed to authenticate the request. Make sure the value of Authorization header is formed correctly including the signature.
RequestId:5d4e1b7e-c01e-0070-0d47-9bf8a0000000
Time:2021-08-27T13:30:02.2685991Z</Message><AuthenticationErrorDetail>Signature did not match. String to sign used was rcw
2021-08-27T13:19:56Z
2021-08-28T13:29:56Z
/blob/mystorage/azureml/ExperimentRun/dcid.98d11a7b-2aac-4bc0-bd64-bb4d72e0e0be/outputs/models/Model.pkl

2019-07-07
b

</AuthenticationErrorDetail></Error>
    ErrorResponse 
{
    "error": {
        "code": "UserError",
        "message": "Encountered authorization error while uploading to blob storage. Please check the storage account attached to your workspace. Make sure that the current user is authorized to access the storage account and that the request is not blocked by a firewall, virtual network, or other security setting.\n\tStorageAccount: verovisionstorage\n\tContainerName: azureml\n\tStatusCode: 403",
        "inner_error": {
            "code": "Auth",
            "inner_error": {
                "code": "Authorization"
            }
        }
    }
}
    ErrorResponse 
{
    "error": {
        "code": "UserError",
        "message": "Encountered authorization error while uploading to blob storage. Please check the storage account attached to your workspace. Make sure that the current user is authorized to access the storage account and that the request is not blocked by a firewall, virtual network, or other security setting.\n\tStorageAccount: mystorage\n\tContainerName: azureml\n\tStatusCode: 403"
    }
}