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476455e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 | # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
from __future__ import absolute_import
import time
import uuid
from contextlib import contextmanager
import pytest
import botocore
from sagemaker.analytics import ArtifactAnalytics
from sagemaker.lineage import artifact
import logging
from sagemaker.session import Session
@pytest.fixture()
def sagemaker_session(boto_session):
return Session(boto_session=boto_session)
@contextmanager
def generate_artifacts(sagemaker_session):
artifacts = [] # for resource cleanup
try:
# Search returns 10 results by default. Add 20 trials to verify pagination.
for i in range(20):
artifact_name = "experiment-" + str(uuid.uuid4())
obj = artifact.Artifact.create(
artifact_name="SDKAnalyticsIntegrationTest",
artifact_type="SDKAnalyticsIntegrationTest",
source_uri=artifact_name,
properties={"k1": "v1"},
sagemaker_session=sagemaker_session,
)
artifacts.append(obj)
logging.info(f"Created {artifact_name}")
time.sleep(1)
# wait for search to get updated
time.sleep(15)
yield
finally:
_delete_resources(artifacts)
@pytest.mark.release
@pytest.mark.skip("Failing as restricted to the SageMaker/Pipeline runtimes")
def test_artifact_analytics(sagemaker_session):
with generate_artifacts(sagemaker_session):
analytics = ArtifactAnalytics(
artifact_type="SDKAnalyticsIntegrationTest", sagemaker_session=sagemaker_session
)
df = analytics.dataframe()
assert list(df.columns) == [
"ArtifactName",
"ArtifactArn",
"ArtifactType",
"ArtifactSourceUri",
"CreationTime",
"LastModifiedTime",
]
assert len(df) > 10
def _delete_resources(artifacts):
for art in artifacts:
with _ignore_resource_not_found():
art.delete()
@contextmanager
def _ignore_resource_not_found():
try:
yield
except botocore.errorfactory.ResourceNotFoundException:
pass
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