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chore: import upstream snapshot with attribution
2026-07-13 13:35:45 +08:00

41 lines
1.6 KiB
Python

# Copyright 2025 Collate
# Licensed under the Collate Community License, Version 1.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# https://github.com/open-metadata/OpenMetadata/blob/main/ingestion/LICENSE
# Unless required by applicable law or agreed to in writing, software
# distributed under the License 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.
"""Unit tests for SageMaker connection handling."""
from unittest.mock import MagicMock, patch
from metadata.ingestion.connections.connection import BaseConnection
from metadata.ingestion.source.mlmodel.sagemaker.connection import SageMakerConnection
CONNECTION_MODULE = "metadata.ingestion.source.mlmodel.sagemaker.connection"
def test_sagemaker_connection_is_base_connection():
assert issubclass(SageMakerConnection, BaseConnection)
def test_get_client_builds_aws_client():
with patch(f"{CONNECTION_MODULE}.AWSClient") as mock_aws:
conn = SageMakerConnection(MagicMock())
client = conn.client
assert client is mock_aws.return_value.get_sagemaker_client.return_value
mock_aws.assert_called_once()
def test_test_connection_runs_steps():
conn = SageMakerConnection(MagicMock())
conn._client = MagicMock()
with patch(f"{CONNECTION_MODULE}.test_connection_steps") as mock_step:
result = conn.test_connection(metadata=MagicMock())
assert result is mock_step.return_value