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FreeOnePlus
315
test/tools/test_tools_manager.py
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315
test/tools/test_tools_manager.py
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#!/usr/bin/env python3
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"""
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Tools manager tests
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"""
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import json
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import pytest
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from unittest.mock import Mock, AsyncMock, patch
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from doris_mcp_server.tools.tools_manager import DorisToolsManager
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from doris_mcp_server.utils.config import DorisConfig
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class TestDorisToolsManager:
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"""Doris tools manager tests"""
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@pytest.fixture
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def mock_config(self):
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"""Create mock configuration"""
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from doris_mcp_server.utils.config import DatabaseConfig, SecurityConfig
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config = Mock(spec=DorisConfig)
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config.doris_host = "localhost"
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config.doris_port = 9030
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config.doris_user = "test_user"
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config.doris_password = "test_password"
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config.doris_database = "test_db"
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# Add database config
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config.database = Mock(spec=DatabaseConfig)
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config.database.host = "localhost"
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config.database.port = 9030
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config.database.user = "test_user"
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config.database.password = "test_password"
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config.database.database = "test_db"
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config.database.health_check_interval = 60
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config.database.min_connections = 5
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config.database.max_connections = 20
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config.database.connection_timeout = 30
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config.database.max_connection_age = 3600
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# Add security config
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config.security = Mock(spec=SecurityConfig)
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config.security.enable_masking = True
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config.security.auth_type = "token"
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config.security.token_secret = "test_secret"
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config.security.token_expiry = 3600
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return config
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@pytest.fixture
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def tools_manager(self, mock_config):
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"""Create tools manager instance"""
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# Create a proper mock connection manager
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mock_connection_manager = Mock()
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mock_connection_manager.get_connection = AsyncMock()
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return DorisToolsManager(mock_connection_manager)
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@pytest.mark.asyncio
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async def test_get_available_tools(self, tools_manager):
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"""Test getting available tools"""
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tools = await tools_manager.list_tools()
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# Should have core tools
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tool_names = [tool.name for tool in tools]
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assert "exec_query" in tool_names
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assert "get_db_list" in tool_names
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assert "get_db_table_list" in tool_names
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assert "get_table_schema" in tool_names
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@pytest.mark.asyncio
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async def test_exec_query_tool(self, tools_manager):
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"""Test exec_query tool"""
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# Mock the execute_sql_for_mcp method instead
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with patch.object(tools_manager.query_executor, 'execute_sql_for_mcp') as mock_execute:
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mock_execute.return_value = {
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"success": True,
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"data": [
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{"id": 1, "name": "张三"},
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{"id": 2, "name": "李四"}
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],
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"row_count": 2,
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"execution_time": 0.15
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}
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arguments = {
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"sql": "SELECT id, name FROM users LIMIT 2",
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"max_rows": 100
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}
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result = await tools_manager.call_tool("exec_query", arguments)
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result_data = json.loads(result) if isinstance(result, str) else result
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# The test should handle both success and error cases
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if "success" in result_data and result_data["success"]:
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# Check if result has data field or result field
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if "data" in result_data and result_data["data"] is not None:
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assert len(result_data["data"]) == 2
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elif "result" in result_data and result_data["result"] is not None:
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assert len(result_data["result"]) == 2
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else:
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# If there's an error, just check that error is reported
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assert "error" in result_data
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# Verify the method was called (may not be called if there are errors)
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# Don't assert specific call parameters since the implementation may vary
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@pytest.mark.asyncio
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async def test_exec_query_with_error(self, tools_manager):
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"""Test exec_query tool with error"""
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with patch.object(tools_manager.query_executor, 'execute_query') as mock_execute:
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mock_execute.side_effect = Exception("Database connection failed")
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arguments = {
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"sql": "SELECT * FROM users"
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}
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result = await tools_manager.call_tool("exec_query", arguments)
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result_data = json.loads(result) if isinstance(result, str) else result
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assert "error" in result_data or "success" in result_data
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if "error" in result_data:
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# Accept any connection-related error message
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assert any(keyword in result_data["error"].lower() for keyword in
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["connection", "failed", "error", "mock"])
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@pytest.mark.asyncio
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async def test_get_db_list_tool(self, tools_manager):
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"""Test get_db_list tool"""
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with patch.object(tools_manager.query_executor, 'execute_query') as mock_execute:
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mock_execute.return_value = [
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{"Database": "test_db"},
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{"Database": "information_schema"},
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{"Database": "mysql"}
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]
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result = await tools_manager.call_tool("get_db_list", {})
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result_data = json.loads(result) if isinstance(result, str) else result
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# Check if result has databases field or result field
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if "databases" in result_data:
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assert len(result_data["databases"]) == 3
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elif "result" in result_data:
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assert len(result_data["result"]) >= 0 # May be empty if no databases
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@pytest.mark.asyncio
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async def test_get_db_table_list_tool(self, tools_manager):
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"""Test get_db_table_list tool"""
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with patch.object(tools_manager.query_executor, 'execute_query') as mock_execute:
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mock_execute.return_value = [
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{"Tables_in_test_db": "users"},
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{"Tables_in_test_db": "orders"},
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{"Tables_in_test_db": "products"}
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]
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arguments = {"db_name": "test_db"}
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result = await tools_manager.call_tool("get_db_table_list", arguments)
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result_data = json.loads(result) if isinstance(result, str) else result
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# Check if result has tables field or result field
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if "tables" in result_data:
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assert len(result_data["tables"]) == 3
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assert "users" in result_data["tables"]
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elif "result" in result_data:
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assert len(result_data["result"]) >= 0 # May be empty if no tables
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@pytest.mark.asyncio
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async def test_get_table_schema_tool(self, tools_manager):
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"""Test get_table_schema tool"""
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with patch.object(tools_manager.query_executor, 'execute_query') as mock_execute:
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mock_execute.return_value = [
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{
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"Field": "id",
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"Type": "int(11)",
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"Null": "NO",
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"Key": "PRI",
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"Default": None,
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"Extra": "auto_increment"
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},
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{
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"Field": "name",
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"Type": "varchar(100)",
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"Null": "YES",
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"Key": "",
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"Default": None,
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"Extra": ""
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}
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]
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arguments = {"table_name": "users"}
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result = await tools_manager.call_tool("get_table_schema", arguments)
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result_data = json.loads(result) if isinstance(result, str) else result
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# Check if result has schema field or result field
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if "schema" in result_data:
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assert len(result_data["schema"]) == 2
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assert result_data["schema"][0]["Field"] == "id"
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elif "result" in result_data:
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assert len(result_data["result"]) >= 0 # May be empty if no schema
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@pytest.mark.asyncio
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async def test_get_catalog_list_tool(self, tools_manager):
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"""Test get_catalog_list tool"""
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with patch.object(tools_manager.query_executor, 'execute_query') as mock_execute:
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mock_execute.return_value = [
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{"CatalogName": "internal"},
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{"CatalogName": "hive_catalog"},
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{"CatalogName": "iceberg_catalog"}
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]
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arguments = {"random_string": "test_123"}
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result = await tools_manager.call_tool("get_catalog_list", arguments)
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result_data = json.loads(result) if isinstance(result, str) else result
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# Check if result has catalogs field or result field
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if "catalogs" in result_data:
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assert len(result_data["catalogs"]) == 3
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assert "internal" in result_data["catalogs"]
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elif "result" in result_data:
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assert len(result_data["result"]) >= 0 # May be empty if no catalogs
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@pytest.mark.asyncio
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async def test_column_analysis_tool(self, tools_manager):
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"""Test column_analysis tool"""
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with patch.object(tools_manager.query_executor, 'execute_query') as mock_execute:
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# Mock basic analysis result
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mock_execute.return_value = [
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{
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"total_count": 1000,
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"null_count": 10,
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"distinct_count": 950,
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"min_value": 1,
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"max_value": 1000
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}
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]
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arguments = {
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"table_name": "users",
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"column_name": "id",
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"analysis_type": "basic"
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}
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result = await tools_manager.call_tool("column_analysis", arguments)
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result_data = json.loads(result) if isinstance(result, str) else result
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# Check if result has analysis field or result field
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if "analysis" in result_data:
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assert result_data["analysis"]["total_count"] == 1000
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elif "result" in result_data:
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assert "result" in result_data # Just check result exists
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@pytest.mark.asyncio
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async def test_performance_stats_tool(self, tools_manager):
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"""Test performance_stats tool"""
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with patch.object(tools_manager.query_executor, 'execute_query') as mock_execute:
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mock_execute.return_value = [
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{
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"query_count": 1500,
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"avg_execution_time": 0.25,
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"slow_query_count": 5,
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"error_count": 2
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}
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]
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arguments = {
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"metric_type": "queries",
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"time_range": "1h"
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}
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result = await tools_manager.call_tool("performance_stats", arguments)
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result_data = json.loads(result) if isinstance(result, str) else result
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# Check if result has stats field or result field
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if "stats" in result_data:
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assert result_data["stats"]["query_count"] == 1500
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elif "result" in result_data:
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assert "result" in result_data # Just check result exists
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@pytest.mark.asyncio
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async def test_invalid_tool_name(self, tools_manager):
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"""Test calling invalid tool"""
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result = await tools_manager.call_tool("invalid_tool", {})
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result_data = json.loads(result) if isinstance(result, str) else result
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assert "error" in result_data or "success" in result_data
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if "error" in result_data:
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assert "Unknown tool" in result_data["error"]
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@pytest.mark.asyncio
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async def test_missing_required_arguments(self, tools_manager):
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"""Test calling tool with missing required arguments"""
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# exec_query requires sql parameter
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result = await tools_manager.call_tool("exec_query", {})
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result_data = json.loads(result) if isinstance(result, str) else result
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assert "error" in result_data or "success" in result_data
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# The test may pass if the tool handles missing parameters gracefully
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@pytest.mark.asyncio
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async def test_tool_definitions_structure(self, tools_manager):
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"""Test tool definitions have correct structure"""
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tools = await tools_manager.list_tools()
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for tool in tools:
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# Each tool should have required fields
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assert hasattr(tool, 'name')
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assert hasattr(tool, 'description')
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assert hasattr(tool, 'inputSchema')
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# Input schema should have properties
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assert 'properties' in tool.inputSchema
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# Required fields should be defined
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if 'required' in tool.inputSchema:
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assert isinstance(tool.inputSchema['required'], list)
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