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Co-authored-by: Mike Bridge <michael.bridge@ext.preset.io> Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
168 lines
6.4 KiB
Python
168 lines
6.4 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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"""Unit tests for per-object access check in DuplicateDatasetCommand."""
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from unittest.mock import MagicMock, patch
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import pytest
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from sqlalchemy.orm.session import Session
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from superset.commands.dataset.exceptions import DatasetAccessDeniedError
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from superset.errors import ErrorLevel, SupersetError, SupersetErrorType
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from superset.exceptions import SupersetSecurityException
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def _security_exception() -> SupersetSecurityException:
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return SupersetSecurityException(
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SupersetError(
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error_type=SupersetErrorType.DATASOURCE_SECURITY_ACCESS_ERROR,
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message="Access denied to dataset",
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level=ErrorLevel.ERROR,
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)
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)
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def test_duplicate_dataset_forbidden_when_no_access() -> None:
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"""DuplicateDatasetCommand.validate() must raise DatasetAccessDeniedError
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when the caller lacks read access to the source dataset."""
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from superset.commands.dataset.duplicate import DuplicateDatasetCommand
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mock_dataset = MagicMock()
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mock_dataset.id = 1
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mock_dataset.kind = "virtual"
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with patch(
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"superset.commands.dataset.duplicate.DatasetDAO.find_by_id",
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return_value=mock_dataset,
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):
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with patch(
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"superset.commands.dataset.duplicate.security_manager.raise_for_access",
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side_effect=_security_exception(),
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):
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with patch(
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"superset.commands.dataset.duplicate.DuplicateDatasetCommand.populate_owners",
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return_value=[],
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):
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command = DuplicateDatasetCommand(
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{
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"base_model_id": 1,
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"table_name": "duplicate_name",
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"is_managed_externally": False,
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}
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)
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with pytest.raises(DatasetAccessDeniedError):
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command.validate()
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def test_duplicate_dataset_access_check_passes_through() -> None:
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"""DuplicateDatasetCommand.validate() must not raise DatasetAccessDeniedError
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when security_manager.raise_for_access() does not raise."""
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from superset.commands.dataset.duplicate import DuplicateDatasetCommand
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mock_dataset = MagicMock()
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mock_dataset.id = 1
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mock_dataset.kind = "virtual"
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with patch(
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"superset.commands.dataset.duplicate.DatasetDAO.find_by_id",
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return_value=mock_dataset,
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):
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with patch(
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"superset.commands.dataset.duplicate.security_manager.raise_for_access"
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) as mock_access:
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with patch(
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"superset.commands.dataset.duplicate.DatasetDAO.validate_uniqueness",
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return_value=True,
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):
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with patch(
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"superset.commands.dataset.duplicate.DuplicateDatasetCommand.populate_owners",
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return_value=[],
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):
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command = DuplicateDatasetCommand(
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{
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"base_model_id": 1,
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"table_name": "new_unique_name",
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"is_managed_externally": False,
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}
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)
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command.validate() # should not raise
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# Confirm access check was called with the base dataset
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mock_access.assert_called_once_with(datasource=mock_dataset)
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def test_duplicate_dataset_blocked_by_soft_deleted_twin(session: Session) -> None:
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"""validate() rejects a duplicate whose name matches a soft-deleted
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dataset at the same (database, schema).
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The previous name-only ``find_one_or_none`` lookup ran through the
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soft-delete visibility filter, so a soft-deleted twin was invisible and
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the duplicate proceeded — hitting whichever DB constraint applies as an
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opaque IntegrityError, or creating an active twin that permanently
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blocks restore where none does. The shared ``validate_uniqueness``
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check bypasses the filter and refuses with a clean validation error.
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"""
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from datetime import datetime, timezone
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from superset import db
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from superset.commands.dataset.duplicate import DuplicateDatasetCommand
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from superset.commands.dataset.exceptions import DatasetInvalidError
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from superset.connectors.sqla.models import SqlaTable
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from superset.models.core import Database
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SqlaTable.metadata.create_all(session.get_bind())
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database = Database(database_name="dup_db", sqlalchemy_uri="sqlite://")
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base = SqlaTable(
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table_name="base_view",
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schema="main",
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database=database,
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sql="select 1",
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)
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hidden_twin = SqlaTable(
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table_name="dup_name",
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schema="main",
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database=database,
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deleted_at=datetime(2026, 1, 1, tzinfo=timezone.utc),
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)
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db.session.add_all([database, base, hidden_twin])
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db.session.flush()
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with (
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# find_by_id applies the security base filter, which needs a request
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# user; return the seeded row directly. validate_uniqueness — the
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# behaviour under test — runs for real against the session.
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patch(
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"superset.commands.dataset.duplicate.DatasetDAO.find_by_id",
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return_value=base,
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),
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patch("superset.commands.dataset.duplicate.security_manager.raise_for_access"),
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patch(
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"superset.commands.dataset.duplicate."
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"DuplicateDatasetCommand.populate_owners",
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return_value=[],
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),
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):
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command = DuplicateDatasetCommand(
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{
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"base_model_id": base.id,
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"table_name": "dup_name",
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"is_managed_externally": False,
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}
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)
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with pytest.raises(DatasetInvalidError):
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command.validate()
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