Which example? Describe the issue
example: submitting example R job through the single-step R accidents sample. Job reports failure in AzureML.
description:
Looks like an update to azureml-mlflow package has changed. Pinning azureml-mlflow==1.33.0 resolves. Similar to #1501
Additional context
Loading required package: tcltk
Attaching package: ‘tcltk2’
The following object is masked from ‘package:httr’:
config
Warning message:
no DISPLAY variable so Tk is not available
[1] "/mnt/azureml/cr/j/1cf40fee236d4564b9f315f8266e3548/cap/data-capability/wd/INPUT_training_data"
dead dvcat seatbelt frontal sex
alive:25036 1-9km/h: 686 belted:18572 notfrontal: 9351 f:12248
dead : 1180 10-24 :12847 none : 7644 frontal :16865 m:13968
25-39 : 8214
40-54 : 2977
55+ : 1492
ageOFocc yearVeh airbag occRole
Min. :16.00 Min. :1953 airbag:14418 driver:20600
1st Qu.:22.00 1st Qu.:1989 none :11798 pass : 5616
Median :33.00 Median :1994
Mean :37.21 Mean :1993
3rd Qu.:48.00 3rd Qu.:1997
Max. :97.00 Max. :2003
[1] "Training the model"
[1] "Logging model"
/usr/local/bin/mlflow:5: FutureWarning: MLflow support for Python 3.6 is deprecated and will be dropped in an upcoming release. At that point, existing Python 3.6 workflows that use MLflow will continue to work without modification, but Python 3.6 users will no longer get access to the latest MLflow features and bugfixes. We recommend that you upgrade to Python 3.7 or newer.
from mlflow.cli import cli
/usr/local/lib/python3.6/dist-packages/jwt/utils.py:7: CryptographyDeprecationWarning: Python 3.6 is no longer supported by the Python core team. Therefore, support for it is deprecated in cryptography and will be removed in a future release.
from cryptography.hazmat.primitives.asymmetric.ec import EllipticCurve
Traceback (most recent call last):
File "/usr/local/bin/mlflow", line 8, in
sys.exit(cli())
File "/usr/local/lib/python3.6/dist-packages/click/core.py", line 1128, in call
return self.main(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/click/core.py", line 1053, in main
rv = self.invoke(ctx)
File "/usr/local/lib/python3.6/dist-packages/click/core.py", line 1659, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/usr/local/lib/python3.6/dist-packages/click/core.py", line 1659, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/usr/local/lib/python3.6/dist-packages/click/core.py", line 1395, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/usr/local/lib/python3.6/dist-packages/click/core.py", line 754, in invoke
return __callback(*args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/mlflow/store/artifact/cli.py", line 64, in log_artifacts
store = _get_store()
File "/usr/local/lib/python3.6/dist-packages/mlflow/tracking/_tracking_service/utils.py", line 155, in _get_store
return _tracking_store_registry.get_store(store_uri, artifact_uri)
File "/usr/local/lib/python3.6/dist-packages/mlflow/tracking/_tracking_service/registry.py", line 39, in get_store
return self._get_store_with_resolved_uri(resolved_store_uri, artifact_uri)
File "/usr/local/lib/python3.6/dist-packages/mlflow/tracking/_tracking_service/registry.py", line 49, in _get_store_with_resolved_uri
return builder(store_uri=resolved_store_uri, artifact_uri=artifact_uri)
File "/usr/local/lib/python3.6/dist-packages/azureml/mlflow/entry_point_loaders.py", line 37, in azureml_store_builder
service_context = _AzureMLServiceContextLoader.load_service_context(store_uri)
File "/usr/local/lib/python3.6/dist-packages/azureml/mlflow/_internal/service_context_loader.py", line 68, in load_service_context
service_context = get_service_context_from_tracking_url_mlflow_env_vars(parsed_url)
File "/usr/local/lib/python3.6/dist-packages/azureml/mlflow/_internal/utils.py", line 290, in get_service_context_from_tracking_url_mlflow_env_vars
run_id=run_id)
File "/usr/local/lib/python3.6/dist-packages/azureml/mlflow/_common/_authentication/azureml_token_authentication.py", line 205, in create
resource_group_name, workspace_name, experiment_name, run_id, user_email, experiment_id)
File "/usr/local/lib/python3.6/dist-packages/azureml/mlflow/_common/_authentication/azureml_token_authentication.py", line 125, in init
self._aml_access_token) if expiry_time is None else expiry_time
File "/usr/local/lib/python3.6/dist-packages/azureml/mlflow/_common/_authentication/azureml_token_authentication.py", line 212, in _parse_expiry_time_from_token
return AzureMLTokenAuthentication._convert_to_datetime(decode_json['exp'])
File "/usr/local/lib/python3.6/dist-packages/azureml/mlflow/_common/_authentication/azureml_token_authentication.py", line 219, in _convert_to_datetime
date = dateutil.parser.parse(expiry_time)
AttributeError: module 'dateutil' has no attribute 'parser'
System command 'mlflow' failed, exit status: 1, stdout & stderr were printedWarning messages:
1: The packages ellipsis (>= 0.3.2) and vctrs (>= 0.3.8) are required as of rlang 1.0.0.
2: replacing previous import ‘lifecycle::last_warnings’ by ‘rlang::last_warnings’ when loading ‘tibble’
3: replacing previous import ‘ellipsis::check_dots_unnamed’ by ‘rlang::check_dots_unnamed’ when loading ‘tibble’
4: replacing previous import ‘ellipsis::check_dots_used’ by ‘rlang::check_dots_used’ when loading ‘tibble’
5: replacing previous import ‘ellipsis::check_dots_empty’ by ‘rlang::check_dots_empty’ when loading ‘tibble’
Azure
