See
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/4624/display/redirect>
Changes:
------------------------------------------
[...truncated 205.16 KB...]
self =
<apache_beam.runners.dataflow.dataflow_exercise_streaming_metrics_pipeline_test.ExerciseStreamingMetricsPipelineTest
testMethod=test_streaming_pipeline_returns_expected_user_metrics_fnapi_it>
@pytest.mark.it_validatesrunner
@pytest.mark.no_sickbay_batch
@pytest.mark.no_xdist
def test_streaming_pipeline_returns_expected_user_metrics_fnapi_it(self):
"""
Runs streaming Dataflow job and verifies that user metrics are reported
correctly.
"""
self._inject_words(self.input_topic, MESSAGES_TO_PUBLISH)
> result = self.run_pipeline()
[1m[31mapache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py[0m:140:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
[1m[31mapache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py[0m:128:
in run_pipeline
return dataflow_exercise_streaming_metrics_pipeline.run(argv)
[1m[31mapache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline.py[0m:99:
in run
result = pipeline.run()
[1m[31mapache_beam/pipeline.py[0m:577: in run
return self.runner.run_pipeline(self, self._options)
[1m[31mapache_beam/runners/dataflow/test_dataflow_runner.py[0m:70: in
run_pipeline
hc_assert_that(self.result, pickler.loads(on_success_matcher))
[1m[31m../../build/gradleenv/2050596098/lib/python3.10/site-packages/hamcrest/core/core/allof.py[0m:19:
in matches
if not matcher.matches(item):
[1m[31m../../build/gradleenv/2050596098/lib/python3.10/site-packages/hamcrest/core/base_matcher.py[0m:28:
in matches
match_result = self._matches(item)
[1m[31mapache_beam/io/gcp/tests/pubsub_matcher.py[0m:116: in _matches
self.messages, self.messages_all_details = self._wait_for_messages(
[1m[31mapache_beam/io/gcp/tests/pubsub_matcher.py[0m:131: in
_wait_for_messages
response = sub_client.pull(
[1m[31m../../build/gradleenv/2050596098/lib/python3.10/site-packages/google/pubsub_v1/services/subscriber/client.py[0m:1494:
in pull
response = rpc(
[1m[31m../../build/gradleenv/2050596098/lib/python3.10/site-packages/google/api_core/gapic_v1/method.py[0m:113:
in __call__
return wrapped_func(*args, **kwargs)
[1m[31m../../build/gradleenv/2050596098/lib/python3.10/site-packages/google/api_core/retry.py[0m:349:
in retry_wrapped_func
return retry_target(
[1m[31m../../build/gradleenv/2050596098/lib/python3.10/site-packages/google/api_core/retry.py[0m:191:
in retry_target
return target()
[1m[31m../../build/gradleenv/2050596098/lib/python3.10/site-packages/google/api_core/timeout.py[0m:120:
in func_with_timeout
return func(*args, **kwargs)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
args = (subscription:
"projects/apache-beam-testing/subscriptions/exercise_streaming_metrics_subscription_output60bf3272-0194-4b66-b5a6-535194f5c63d"
max_messages: 50
,)
kwargs = {'metadata': [('x-goog-request-params',
'subscription=projects/apache-beam-testing/subscriptions/exercise_streaming_me...66-b5a6-535194f5c63d'),
('x-goog-api-client', 'gl-python/3.10.2 grpc/1.51.3 gax/2.11.0 gccl/2.15.0')],
'timeout': 30.0}
@functools.wraps(callable_)
def error_remapped_callable(*args, **kwargs):
try:
return callable_(*args, **kwargs)
except grpc.RpcError as exc:
> raise exceptions.from_grpc_error(exc) from exc
[1m[31mE google.api_core.exceptions.DeadlineExceeded: 504 Deadline
Exceeded[0m
[1m[31m../../build/gradleenv/2050596098/lib/python3.10/site-packages/google/api_core/grpc_helpers.py[0m:74:
DeadlineExceeded
------------------------------ Captured log call -------------------------------
[32mINFO [0m apache_beam.runners.portability.stager:stager.py:772
Executing command:
['<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/bin/python3.10',>
'-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r',
'/tmp/tmpzj1blh7m/tmp_requirements.txt', '--exists-action', 'i', '--no-deps',
'--implementation', 'cp', '--abi', 'cp310', '--platform',
'manylinux2014_x86_64']
[32mINFO [0m apache_beam.runners.portability.stager:stager.py:330 Copying
Beam SDK
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/build/apache-beam.tar.gz";>
to staging location.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:443 Pipeline
has additional dependencies to be installed in SDK worker container, consider
using the SDK container image pre-building workflow to avoid repetitive
installations. Learn more on
https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
[32mINFO [0m root:environments.py:376 Default Python SDK image for
environment is apache/beam_python3.10_sdk:2.47.0.dev
[32mINFO [0m root:environments.py:295 Using provided Python SDK container
image: gcr.io/cloud-dataflow/v1beta3/python310-fnapi:beam-master-20230126
[32mINFO [0m root:environments.py:302 Python SDK container image set to
"gcr.io/cloud-dataflow/v1beta3/python310-fnapi:beam-master-20230126" for Docker
environment
[32mINFO [0m apache_beam.internal.gcp.auth:auth.py:130 Setting socket
default timeout to 60 seconds.
[32mINFO [0m apache_beam.internal.gcp.auth:auth.py:132 socket default
timeout is 60.0 seconds.
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in 0 seconds.
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apache_beam.runners.dataflow.internal.apiclient:apiclient.py:909 Create job:
<Job
clientRequestId: '20230309110259073462-2535'
createTime: '2023-03-09T11:03:45.647230Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-03-09_03_03_44-14277347245475541105'
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[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:911 Created job
with id: [2023-03-09_03_03_44-14277347245475541105]
[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:912 Submitted job:
2023-03-09_03_03_44-14277347245475541105
[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:913 To access the
Dataflow monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2023-03-09_03_03_44-14277347245475541105?project=apache-beam-testing
[32mINFO [0m
apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:58
Console log:
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apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:59
https://console.cloud.google.com/dataflow/jobs/us-central1/2023-03-09_03_03_44-14277347245475541105?project=apache-beam-testing
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:193 Job
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:03:47.221Z: JOB_MESSAGE_WARNING: Autoscaling is enabled for
Dataflow Streaming Engine. Workers will scale between 1 and 100 unless
maxNumWorkers is specified.
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
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1 and 100.
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:12.394Z: JOB_MESSAGE_BASIC: Worker configuration:
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:16.365Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:16.491Z: JOB_MESSAGE_DETAILED: Expanding
SplittableProcessKeyed operations into optimizable parts.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:16.516Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations
into streaming Read/Write steps
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:16.543Z: JOB_MESSAGE_DETAILED: Lifting
ValueCombiningMappingFns into MergeBucketsMappingFns
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:16.577Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner
information.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:16.609Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read,
Write, and Flatten operations
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:16.634Z: JOB_MESSAGE_DETAILED: Fusing consumer
generate_metrics into ReadFromPubSub/Read
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:16.658Z: JOB_MESSAGE_DETAILED: Fusing consumer
dump_to_pub/ToProtobuf into generate_metrics
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:16.693Z: JOB_MESSAGE_DETAILED: Fusing consumer
dump_to_pub/Write into dump_to_pub/ToProtobuf
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:16.729Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:16.761Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect
persistent state.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:16.860Z: JOB_MESSAGE_DEBUG: Workflow config is missing a
default resource spec.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:16.888Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and
teardown to workflow graph.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:16.924Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop
steps.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:16.954Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:18.028Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:18.052Z: JOB_MESSAGE_BASIC: Starting 1 workers in
us-central1-b...
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:18.105Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:37.952Z: JOB_MESSAGE_BASIC: Your project already contains 100
Dataflow-created metric descriptors, so new user metrics of the form
custom.googleapis.com/* will not be created. However, all user metrics are also
available in the metric dataflow.googleapis.com/job/user_counter. If you rely
on the custom metrics, you can delete old / unused metric descriptors. See
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
and
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-03-09T11:04:56.386Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number
of workers to 1 so that the pipeline can catch up with its backlog and keep up
with its input rate.
[33mWARNING [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:249 Timing out
on waiting for job 2023-03-09_03_03_44-14277347245475541105 after 62 seconds
[33m=============================== warnings summary
===============================[0m
../../build/gradleenv/2050596098/lib/python3.10/site-packages/hdfs/config.py:15
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/site-packages/hdfs/config.py>:15:
DeprecationWarning: the imp module is deprecated in favour of importlib and
slated for removal in Python 3.12; see the module's documentation for
alternative uses
from imp import load_source
../../build/gradleenv/2050596098/lib/python3.10/site-packages/pkg_resources/__init__.py:121
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/site-packages/pkg_resources/__init__.py>:121:
DeprecationWarning: pkg_resources is deprecated as an API
warnings.warn("pkg_resources is deprecated as an API", DeprecationWarning)
../../build/gradleenv/2050596098/lib/python3.10/site-packages/pkg_resources/__init__.py:2870:
19 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/site-packages/pkg_resources/__init__.py>:2870:
DeprecationWarning: Deprecated call to
`pkg_resources.declare_namespace('google')`.
Implementing implicit namespace packages (as specified in PEP 420) is
preferred to `pkg_resources.declare_namespace`. See
https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/2050596098/lib/python3.10/site-packages/pkg_resources/__init__.py:2870:
13 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/site-packages/pkg_resources/__init__.py>:2870:
DeprecationWarning: Deprecated call to
`pkg_resources.declare_namespace('google.cloud')`.
Implementing implicit namespace packages (as specified in PEP 420) is
preferred to `pkg_resources.declare_namespace`. See
https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/2050596098/lib/python3.10/site-packages/pkg_resources/__init__.py:2349
../../build/gradleenv/2050596098/lib/python3.10/site-packages/pkg_resources/__init__.py:2349
../../build/gradleenv/2050596098/lib/python3.10/site-packages/pkg_resources/__init__.py:2349
../../build/gradleenv/2050596098/lib/python3.10/site-packages/pkg_resources/__init__.py:2349
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/site-packages/pkg_resources/__init__.py>:2349:
DeprecationWarning: Deprecated call to
`pkg_resources.declare_namespace('google')`.
Implementing implicit namespace packages (as specified in PEP 420) is
preferred to `pkg_resources.declare_namespace`. See
https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(parent)
../../build/gradleenv/2050596098/lib/python3.10/site-packages/pkg_resources/__init__.py:2870
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/site-packages/pkg_resources/__init__.py>:2870:
DeprecationWarning: Deprecated call to
`pkg_resources.declare_namespace('google.logging')`.
Implementing implicit namespace packages (as specified in PEP 420) is
preferred to `pkg_resources.declare_namespace`. See
https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/2050596098/lib/python3.10/site-packages/pkg_resources/__init__.py:2870
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/site-packages/pkg_resources/__init__.py>:2870:
DeprecationWarning: Deprecated call to
`pkg_resources.declare_namespace('google.iam')`.
Implementing implicit namespace packages (as specified in PEP 420) is
preferred to `pkg_resources.declare_namespace`. See
https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/2050596098/lib/python3.10/site-packages/google/rpc/__init__.py:20
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/site-packages/google/rpc/__init__.py>:20:
DeprecationWarning: Deprecated call to
`pkg_resources.declare_namespace('google.rpc')`.
Implementing implicit namespace packages (as specified in PEP 420) is
preferred to `pkg_resources.declare_namespace`. See
https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
pkg_resources.declare_namespace(__name__)
../../build/gradleenv/2050596098/lib/python3.10/site-packages/google/api_core/operations_v1/abstract_operations_client.py:17
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/site-packages/google/api_core/operations_v1/abstract_operations_client.py>:17:
DeprecationWarning: The distutils package is deprecated and slated for removal
in Python 3.12. Use setuptools or check PEP 632 for potential alternatives
from distutils import util
../../build/gradleenv/2050596098/lib/python3.10/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/site-packages/tenacity/_asyncio.py>:42:
DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use
"async def" instead
def call(self, fn, *args, **kwargs):
apache_beam/typehints/pandas_type_compatibility_test.py:67
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:67:
FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas
in a future version. Use pandas.Index with the appropriate dtype instead.
}).set_index(pd.Int64Index(range(123, 223), name='an_index')),
apache_beam/typehints/pandas_type_compatibility_test.py:90
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:90:
FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas
in a future version. Use pandas.Index with the appropriate dtype instead.
pd.Int64Index(range(123, 223), name='an_index'),
apache_beam/typehints/pandas_type_compatibility_test.py:91
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:91:
FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas
in a future version. Use pandas.Index with the appropriate dtype instead.
pd.Int64Index(range(475, 575), name='another_index'),
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file:
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py310-noxdist.xml>
-
[36m[1m=========================== short test summary info
============================[0m
[31mFAILED[0m
apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py::[1mExerciseStreamingMetricsPipelineTest::test_streaming_pipeline_returns_expected_user_metrics_fnapi_it[0m
- google.api_core.exceptions.DeadlineExceeded: 504 Deadline Exceeded
[31m==== [31m[1m1 failed[0m, [33m8 skipped[0m, [33m6847 deselected[0m,
[33m46 warnings[0m[31m in 653.45s (0:10:53)[0m[31m ====[0m
> Task :sdks:python:test-suites:dataflow:py310:validatesRunnerStreamingTests
> FAILED
FAILURE: Build failed with an exception.
* Where:
Script
'<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/test-suites/dataflow/common.gradle'>
line: 259
* What went wrong:
Execution failed for task
':sdks:python:test-suites:dataflow:py310:validatesRunnerStreamingTests'.
> Process 'command 'sh'' finished with non-zero exit value 1
* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
* Get more help at https://help.gradle.org
Deprecated Gradle features were used in this build, making it incompatible with
Gradle 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings
and determine if they come from your own scripts or plugins.
See
https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 2h 5m 15s
20 actionable tasks: 14 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/xu4xooxht3nc4
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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