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70 lines
2.7 KiB
Python
70 lines
2.7 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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"""
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Unit tests for MCP dataset schema validation.
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"""
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import pytest
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from superset.mcp_service.dataset.schemas import (
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DatasetFilter,
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GetDatasetInfoRequest,
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ListDatasetsRequest,
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)
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class TestRequestSchemaAliasChoices:
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"""Test that LLM-friendly field name variants are accepted on the
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dataset MCP tool request schemas, so callers sending 'id'/'dataset_id'
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instead of 'identifier' (or 'columns' instead of 'select_columns')
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don't silently have the field dropped."""
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def test_get_dataset_info_identifier_id_alias(self) -> None:
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req = GetDatasetInfoRequest.model_validate({"id": 42})
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assert req.identifier == 42
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def test_get_dataset_info_identifier_dataset_id_alias(self) -> None:
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req = GetDatasetInfoRequest.model_validate({"dataset_id": 42})
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assert req.identifier == 42
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def test_get_dataset_info_identifier_still_works(self) -> None:
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req = GetDatasetInfoRequest.model_validate({"identifier": 42})
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assert req.identifier == 42
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def test_get_dataset_info_select_columns_columns_alias(self) -> None:
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req = GetDatasetInfoRequest.model_validate(
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{"id": 42, "columns": ["id", "table_name"]}
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)
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assert req.select_columns == ["id", "table_name"]
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def test_list_datasets_select_columns_columns_alias(self) -> None:
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req = ListDatasetsRequest.model_validate({"columns": ["id", "table_name"]})
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assert req.select_columns == ["id", "table_name"]
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def test_list_datasets_search_and_filters_conflict_validation(self) -> None:
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"""search and filters are mutually exclusive on ListDatasetsRequest,
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inherited from PaginatedListRequest.validate_search_and_filters."""
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with pytest.raises(
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ValueError,
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match="Cannot use both 'search' and 'filters' parameters simultaneously",
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):
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ListDatasetsRequest(
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search="sample",
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filters=[DatasetFilter(col="table_name", opr="sw", value="test")],
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)
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