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56 lines
2.1 KiB
Python
56 lines
2.1 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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from unittest.mock import MagicMock
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from data_designer.config.dataset_metadata import DatasetMetadata
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from data_designer.engine.resources.resource_provider import ResourceProvider
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from data_designer.engine.resources.seed_reader import SeedReader
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def test_dataset_metadata_defaults() -> None:
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"""Test DatasetMetadata default values."""
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metadata = DatasetMetadata()
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assert metadata.seed_column_names == []
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def test_dataset_metadata_with_seed_columns() -> None:
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"""Test DatasetMetadata with seed column names."""
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metadata = DatasetMetadata(seed_column_names=["name", "age", "city"])
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assert metadata.seed_column_names == ["name", "age", "city"]
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def test_get_dataset_metadata_with_seed_reader() -> None:
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"""Test creating DatasetMetadata from ResourceProvider with seed reader."""
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seed_reader = MagicMock(spec=SeedReader)
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seed_reader.get_column_names.return_value = ["col1", "col2"]
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resource_provider = MagicMock(spec=ResourceProvider)
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resource_provider.seed_reader = seed_reader
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metadata = ResourceProvider.get_dataset_metadata(resource_provider)
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assert metadata.seed_column_names == ["col1", "col2"]
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seed_reader.get_column_names.assert_called_once()
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def test_get_dataset_metadata_without_seed_reader() -> None:
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"""Test creating DatasetMetadata from ResourceProvider without seed reader."""
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resource_provider = MagicMock(spec=ResourceProvider)
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resource_provider.seed_reader = None
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metadata = ResourceProvider.get_dataset_metadata(resource_provider)
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assert metadata.seed_column_names == []
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def test_dataset_metadata_is_serializable() -> None:
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"""Test that DatasetMetadata can be serialized to JSON."""
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metadata = DatasetMetadata(seed_column_names=["name", "age"])
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json_data = metadata.model_dump_json()
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assert '"seed_column_names":["name","age"]' in json_data
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# Can be deserialized back
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restored = DatasetMetadata.model_validate_json(json_data)
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assert restored.seed_column_names == ["name", "age"]
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