## 🚀 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>
142 lines
5.3 KiB
Python
142 lines
5.3 KiB
Python
"""
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Live integration tests for google-genai library
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These tests require GEMINI_API_KEY to be set and will make real API calls
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To run these tests manually:
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python tests/test_live_integration.py
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Note: These tests are excluded from regular pytest runs to avoid API rate limits.
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They confirm that the google-genai library integration works correctly with live data.
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"""
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import asyncio
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import os
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import sys
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import tempfile
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from pathlib import Path
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# Add parent directory to path to allow imports
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sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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import json
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from tools.analyze import AnalyzeTool
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from tools.think_deeper import ThinkDeeperTool
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async def run_manual_live_tests():
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"""Run live tests manually without pytest"""
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print("🚀 Running manual live integration tests...")
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# Check API key
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if not os.environ.get("GEMINI_API_KEY"):
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print("❌ GEMINI_API_KEY not found. Set it to run live tests.")
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return False
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try:
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# Test google-genai import
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print("✅ google-genai library import successful")
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# Test tool integration
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with tempfile.NamedTemporaryFile(mode="w", suffix=".py", delete=False) as f:
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f.write("def hello(): return 'world'")
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temp_path = f.name
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try:
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# Test AnalyzeTool
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tool = AnalyzeTool()
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result = await tool.execute(
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{
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"files": [temp_path],
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"question": "What does this code do?",
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"thinking_mode": "low",
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}
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)
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if result and result[0].text:
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print("✅ AnalyzeTool live test successful")
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else:
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print("❌ AnalyzeTool live test failed")
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return False
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# Test ThinkDeeperTool
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think_tool = ThinkDeeperTool()
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result = await think_tool.execute(
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{
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"current_analysis": "Testing live integration",
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"thinking_mode": "minimal", # Fast test
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}
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)
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if result and result[0].text and "Extended Analysis" in result[0].text:
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print("✅ ThinkDeeperTool live test successful")
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else:
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print("❌ ThinkDeeperTool live test failed")
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return False
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# Test collaboration/clarification request
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print("\n🔄 Testing dynamic context request (collaboration)...")
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# Create a specific test case designed to trigger clarification
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# We'll use analyze tool with a question that requires seeing files
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analyze_tool = AnalyzeTool()
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# Ask about dependencies without providing package files
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result = await analyze_tool.execute(
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{
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"files": [temp_path], # Only Python file, no package.json
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"question": "What npm packages and their versions does this project depend on? List all dependencies.",
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"thinking_mode": "minimal", # Fast test
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}
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)
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if result and result[0].text:
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response_data = json.loads(result[0].text)
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print(f" Response status: {response_data['status']}")
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if response_data["status"] == "requires_clarification":
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print("✅ Dynamic context request successfully triggered!")
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clarification = json.loads(response_data["content"])
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print(f" Gemini asks: {clarification.get('question', 'N/A')}")
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if "files_needed" in clarification:
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print(f" Files requested: {clarification['files_needed']}")
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# Verify it's asking for package-related files
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expected_files = [
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"package.json",
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"package-lock.json",
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"yarn.lock",
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]
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if any(f in str(clarification["files_needed"]) for f in expected_files):
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print(" ✅ Correctly identified missing package files!")
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else:
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print(" ⚠️ Unexpected files requested")
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else:
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# This is a failure - we specifically designed this to need clarification
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print("❌ Expected clarification request but got direct response")
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print(" This suggests the dynamic context feature may not be working")
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print(" Response:", response_data.get("content", "")[:200])
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return False
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else:
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print("❌ Collaboration test failed - no response")
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return False
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finally:
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Path(temp_path).unlink(missing_ok=True)
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print("\n🎉 All manual live tests passed!")
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print("✅ google-genai library working correctly")
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print("✅ All tools can make live API calls")
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print("✅ Thinking modes functioning properly")
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return True
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except Exception as e:
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print(f"❌ Live test failed: {e}")
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return False
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if __name__ == "__main__":
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# Run live tests when script is executed directly
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success = asyncio.run(run_manual_live_tests())
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exit(0 if success else 1)
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