## 🚀 Major Improvements ### Docker Environment Simplification - **BREAKING**: Simplified Docker configuration by auto-detecting sandbox from WORKSPACE_ROOT - Removed redundant MCP_PROJECT_ROOT requirement for Docker setups - Updated all Docker config examples and setup scripts - Added security validation for dangerous WORKSPACE_ROOT paths ### Security Enhancements - **CRITICAL**: Fixed insecure PROJECT_ROOT fallback to use current directory instead of home - Enhanced path validation with proper Docker environment detection - Removed information disclosure in error messages - Strengthened symlink and path traversal protection ### File Handling Optimization - **PERFORMANCE**: Optimized read_files() to return content only (removed summary) - Unified file reading across all tools using standardized file_utils routines - Fixed review_changes tool to use consistent file loading patterns - Improved token management and reduced unnecessary processing ### Tool Improvements - **UX**: Enhanced ReviewCodeTool to require user context for targeted reviews - Removed deprecated _get_secure_container_path function and _sanitize_filename - Standardized file access patterns across analyze, review_changes, and other tools - Added contextual prompting to align reviews with user expectations ### Code Quality & Testing - Updated all tests for new function signatures and requirements - Added comprehensive Docker path integration tests - Achieved 100% test coverage (95 tests passing) - Full compliance with ruff, black, and isort linting standards ### Configuration & Deployment - Added pyproject.toml for modern Python packaging - Streamlined Docker setup removing redundant environment variables - Updated setup scripts across all platforms (Windows, macOS, Linux) - Improved error handling and validation throughout ## 🔧 Technical Changes - **Removed**: `_get_secure_container_path()`, `_sanitize_filename()`, unused SANDBOX_MODE - **Enhanced**: Path translation, security validation, token management - **Standardized**: File reading patterns, error handling, Docker detection - **Updated**: All tool prompts for better context alignment ## 🛡️ Security Notes This release significantly improves the security posture by: - Eliminating broad filesystem access defaults - Adding validation for Docker environment variables - Removing information disclosure in error paths - Strengthening path traversal and symlink protections 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
81 lines
2.6 KiB
Python
81 lines
2.6 KiB
Python
"""
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Tests for the main server functionality
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"""
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from unittest.mock import Mock, patch
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import pytest
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from server import handle_call_tool, handle_list_tools
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class TestServerTools:
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"""Test server tool handling"""
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@pytest.mark.asyncio
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async def test_handle_list_tools(self):
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"""Test listing all available tools"""
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tools = await handle_list_tools()
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tool_names = [tool.name for tool in tools]
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# Check all core tools are present
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assert "think_deeper" in tool_names
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assert "review_code" in tool_names
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assert "debug_issue" in tool_names
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assert "analyze" in tool_names
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assert "chat" in tool_names
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assert "review_changes" in tool_names
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assert "get_version" in tool_names
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# Should have exactly 7 tools
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assert len(tools) == 7
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# Check descriptions are verbose
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for tool in tools:
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assert len(tool.description) > 50 # All should have detailed descriptions
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@pytest.mark.asyncio
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async def test_handle_call_tool_unknown(self):
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"""Test calling an unknown tool"""
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result = await handle_call_tool("unknown_tool", {})
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assert len(result) == 1
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assert "Unknown tool: unknown_tool" in result[0].text
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@pytest.mark.asyncio
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async def test_handle_chat(self):
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"""Test chat functionality"""
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# Set test environment
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import os
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os.environ["PYTEST_CURRENT_TEST"] = "test"
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# Create a mock for the model
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with patch("tools.base.BaseTool.create_model") as mock_create:
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mock_model = Mock()
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mock_model.generate_content.return_value = Mock(
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candidates=[Mock(content=Mock(parts=[Mock(text="Chat response")]))]
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)
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mock_create.return_value = mock_model
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result = await handle_call_tool("chat", {"prompt": "Hello Gemini"})
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assert len(result) == 1
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# Parse JSON response
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import json
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response_data = json.loads(result[0].text)
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assert response_data["status"] == "success"
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assert "Chat response" in response_data["content"]
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assert "Claude's Turn" in response_data["content"]
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@pytest.mark.asyncio
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async def test_handle_get_version(self):
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"""Test getting version info"""
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result = await handle_call_tool("get_version", {})
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assert len(result) == 1
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response = result[0].text
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assert "Gemini MCP Server v" in response # Version agnostic check
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assert "Available Tools:" in response
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assert "think_deeper" in response
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