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64 lines
2.8 KiB
Python
64 lines
2.8 KiB
Python
from typing import cast
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from unittest.mock import Mock
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import pytest
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from models import Account, Tenant
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from services.entities.knowledge_entities.knowledge_entities import MetadataArgs
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from services.metadata_service import MetadataService
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def _make_account(account_id: str = "user-456", tenant_id: str = "tenant-123") -> Account:
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account = Account(name="Test User", email=f"{account_id}@example.com")
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account.id = account_id
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tenant = Tenant(name="Test Tenant")
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tenant.id = tenant_id
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account._current_tenant = tenant
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return account
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class TestMetadataNullableBug:
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"""Test case to reproduce the metadata nullable validation bug."""
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def test_metadata_args_with_none_values_should_fail(self) -> None:
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"""Test that MetadataArgs validation should reject None values."""
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# This test demonstrates the expected behavior - should fail validation
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with pytest.raises((ValueError, TypeError)):
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# This should fail because Pydantic expects non-None values
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MetadataArgs(type=None, name=None) # pyrefly: ignore[bad-argument-type]
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def test_metadata_service_create_with_none_name_crashes(self) -> None:
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"""Test that MetadataService.create_metadata crashes when name is None."""
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# Mock the MetadataArgs to bypass Pydantic validation
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mock_metadata_args = Mock()
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mock_metadata_args.name = None # This will cause len() to crash
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mock_metadata_args.type = "string"
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account = _make_account()
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# This should crash with TypeError when calling len(None)
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with pytest.raises(TypeError, match="object of type 'NoneType' has no len"):
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MetadataService.create_metadata("dataset-123", mock_metadata_args, account, "tenant-123")
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def test_metadata_service_update_with_none_name_crashes(self) -> None:
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"""Test that MetadataService.update_metadata_name crashes when name is None."""
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account = _make_account()
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none_name = cast(str, None)
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# This should crash with TypeError when calling len(None)
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with pytest.raises(TypeError, match="object of type 'NoneType' has no len"):
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MetadataService.update_metadata_name("dataset-123", "metadata-456", none_name, account, "tenant-123")
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def test_api_layer_now_uses_pydantic_validation(self) -> None:
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"""Verify that API layer relies on Pydantic validation instead of reqparse."""
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invalid_payload = {"type": None, "name": None}
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with pytest.raises((ValueError, TypeError)):
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MetadataArgs.model_validate(invalid_payload)
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valid_payload = {"type": "string", "name": "valid"}
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args = MetadataArgs.model_validate(valid_payload)
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assert args.type == "string"
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assert args.name == "valid"
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if __name__ == "__main__":
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pytest.main([__file__, "-v"])
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