chore: import upstream snapshot with attribution
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This commit is contained in:
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# Copyright 2026 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# 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, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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from google.adk.tools.google_tool import GoogleTool
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from google.adk.tools.spanner import SpannerCredentialsConfig
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from google.adk.tools.spanner import SpannerToolset
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from google.adk.tools.spanner.settings import SpannerToolSettings
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from google.adk.tools.spanner.settings import SpannerVectorStoreSettings
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import pytest
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@pytest.mark.asyncio
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async def test_spanner_toolset_tools_default():
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"""Test default Spanner toolset.
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This test verifies the behavior of the Spanner toolset when no filter is
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specified.
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"""
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credentials_config = SpannerCredentialsConfig(
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client_id="abc", client_secret="def"
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)
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toolset = SpannerToolset(credentials_config=credentials_config)
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assert isinstance(toolset._tool_settings, SpannerToolSettings) # pylint: disable=protected-access
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assert toolset._tool_settings.__dict__ == SpannerToolSettings().__dict__ # pylint: disable=protected-access
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tools = await toolset.get_tools()
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assert tools is not None
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assert len(tools) == 7
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assert all([isinstance(tool, GoogleTool) for tool in tools])
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expected_tool_names = set([
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"list_table_names",
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"list_table_indexes",
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"list_table_index_columns",
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"list_named_schemas",
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"get_table_schema",
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"execute_sql",
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"similarity_search",
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])
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actual_tool_names = set([tool.name for tool in tools])
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assert actual_tool_names == expected_tool_names
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@pytest.mark.parametrize(
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"selected_tools",
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[
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pytest.param([], id="None"),
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pytest.param(
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["list_table_names", "get_table_schema"],
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id="table-metadata",
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),
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pytest.param(["execute_sql"], id="query"),
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],
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)
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@pytest.mark.asyncio
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async def test_spanner_toolset_selective(selected_tools):
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"""Test selective Spanner toolset.
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This test verifies the behavior of the Spanner toolset when a filter is
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specified.
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Args:
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selected_tools: A list of tool names to filter.
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"""
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credentials_config = SpannerCredentialsConfig(
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client_id="abc", client_secret="def"
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)
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toolset = SpannerToolset(
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credentials_config=credentials_config,
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tool_filter=selected_tools,
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spanner_tool_settings=SpannerToolSettings(),
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)
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tools = await toolset.get_tools()
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assert tools is not None
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assert len(tools) == len(selected_tools)
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assert all([isinstance(tool, GoogleTool) for tool in tools])
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expected_tool_names = set(selected_tools)
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actual_tool_names = set([tool.name for tool in tools])
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assert actual_tool_names == expected_tool_names
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@pytest.mark.parametrize(
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("selected_tools", "returned_tools"),
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[
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pytest.param(["unknown"], [], id="all-unknown"),
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pytest.param(
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["unknown", "execute_sql"],
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["execute_sql"],
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id="mixed-known-unknown",
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),
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],
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)
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@pytest.mark.asyncio
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async def test_spanner_toolset_unknown_tool(selected_tools, returned_tools):
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"""Test Spanner toolset with unknown tools.
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This test verifies the behavior of the Spanner toolset when unknown tools are
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specified in the filter.
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Args:
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selected_tools: A list of tool names to filter, including unknown ones.
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returned_tools: A list of tool names that are expected to be returned.
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"""
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credentials_config = SpannerCredentialsConfig(
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client_id="abc", client_secret="def"
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)
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toolset = SpannerToolset(
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credentials_config=credentials_config,
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tool_filter=selected_tools,
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spanner_tool_settings=SpannerToolSettings(),
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)
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tools = await toolset.get_tools()
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assert tools is not None
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assert len(tools) == len(returned_tools)
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assert all([isinstance(tool, GoogleTool) for tool in tools])
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expected_tool_names = set(returned_tools)
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actual_tool_names = set([tool.name for tool in tools])
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assert actual_tool_names == expected_tool_names
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@pytest.mark.parametrize(
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("selected_tools", "returned_tools"),
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[
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pytest.param(
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["execute_sql", "list_table_names"],
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["list_table_names"],
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id="read-not-added",
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),
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pytest.param(
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["list_table_names", "list_table_indexes"],
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["list_table_names", "list_table_indexes"],
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id="no-effect",
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),
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],
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)
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@pytest.mark.asyncio
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async def test_spanner_toolset_without_read_capability(
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selected_tools, returned_tools
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):
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"""Test Spanner toolset without read capability.
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This test verifies the behavior of the Spanner toolset when read capability is
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not enabled.
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Args:
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selected_tools: A list of tool names to filter.
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returned_tools: A list of tool names that are expected to be returned.
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"""
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credentials_config = SpannerCredentialsConfig(
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client_id="abc", client_secret="def"
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)
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spanner_tool_settings = SpannerToolSettings(capabilities=[])
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toolset = SpannerToolset(
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credentials_config=credentials_config,
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tool_filter=selected_tools,
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spanner_tool_settings=spanner_tool_settings,
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)
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tools = await toolset.get_tools()
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assert tools is not None
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assert len(tools) == len(returned_tools)
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assert all([isinstance(tool, GoogleTool) for tool in tools])
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expected_tool_names = set(returned_tools)
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actual_tool_names = set([tool.name for tool in tools])
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assert actual_tool_names == expected_tool_names
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@pytest.mark.asyncio
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async def test_spanner_toolset_with_vector_store_search():
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"""Test Spanner toolset with vector store search.
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This test verifies the behavior of the Spanner toolset when vector store
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settings is provided.
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"""
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credentials_config = SpannerCredentialsConfig(
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client_id="abc", client_secret="def"
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)
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spanner_tool_settings = SpannerToolSettings(
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vector_store_settings=SpannerVectorStoreSettings(
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project_id="test-project",
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instance_id="test-instance",
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database_id="test-database",
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table_name="test-table",
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content_column="test-content-column",
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embedding_column="test-embedding-column",
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vector_length=128,
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vertex_ai_embedding_model_name="test-embedding-model",
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)
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)
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toolset = SpannerToolset(
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credentials_config=credentials_config,
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spanner_tool_settings=spanner_tool_settings,
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)
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tools = await toolset.get_tools()
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assert tools is not None
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assert len(tools) == 8
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assert all([isinstance(tool, GoogleTool) for tool in tools])
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expected_tool_names = set([
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"list_table_names",
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"list_table_indexes",
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"list_table_index_columns",
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"list_named_schemas",
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"get_table_schema",
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"execute_sql",
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"similarity_search",
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"vector_store_similarity_search",
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])
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actual_tool_names = set([tool.name for tool in tools])
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assert actual_tool_names == expected_tool_names
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