✅ COMPREHENSIVE SAFETY FRAMEWORK: • Package-level safety notices with SACRED TRUST language • Server-level LLM safety protocols with specific refusal scenarios • Class-level safety reminders for AI assistants • Tool-level destructive operation warnings (🔴 DESTRUCTIVE markers) • Visual safety system: 🔴🛡️🚨 markers throughout codebase • Emergency logging infrastructure with proper escalation • Default-safe operations (dry_run=True for destructive tools) 🔒 DESTRUCTIVE OPERATION PROTECTIONS: • bulk_rename: LLM safety instructions + dry_run default • search_and_replace_batch: Comprehensive safety warnings • All destructive tools require preview before execution • Clear REFUSE scenarios for AI assistants 📚 COMPREHENSIVE DOCUMENTATION: • SACRED_TRUST_SAFETY.md: Complete safety philosophy & implementation guide • IMPLEMENTATION_COMPLETE.md: Project completion status • EMERGENCY_LOGGING_COMPLETE.md: Logging infrastructure details • UV_BUILD_GUIDE.md: Modern Python project setup • Multiple implementation guides and status docs 🔧 PROJECT MODERNIZATION: • Migrated from setup.py/requirements.txt to pyproject.toml + uv • Updated dependency management with uv.lock • Enhanced test suite with comprehensive coverage • Added examples and demo scripts ✅ VALIDATION COMPLETE: All SACRED_TRUST_SAFETY.md requirements implemented 🎯 Sacred Trust Status: PROTECTED 🚨 User Safety: PARAMOUNT 🔐 System Integrity: PRESERVED The human trusts AI assistants to be guardians of their system and data. This framework ensures that trust is honored through comprehensive safety measures.
151 lines
3.9 KiB
Markdown
151 lines
3.9 KiB
Markdown
# 🎉 Enhanced MCP Tools - Import Fixes Complete!
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## ✅ **All Import Issues Successfully Resolved**
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The Enhanced MCP Tools package has been completely fixed and is now ready for production use with a robust dependency management strategy using `pyproject.toml`.
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---
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## 📦 **Updated Dependency Strategy**
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### Core Dependencies (Required)
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- **`fastmcp>=2.8.1`** - Core MCP functionality
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### Optional Dependencies (Enhanced Features)
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```toml
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[project.optional-dependencies]
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# Core enhanced functionality (recommended)
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enhanced = [
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"aiofiles>=23.0.0", # Async file operations
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"watchdog>=3.0.0", # File system monitoring
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"psutil>=5.9.0", # Process and system monitoring
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"requests>=2.28.0", # HTTP requests for Sneller and APIs
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]
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# All optional features
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full = [
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"enhanced-mcp-tools[enhanced]",
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"rich>=13.0.0", # Enhanced terminal output
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"pydantic>=2.0.0", # Data validation
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]
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```
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---
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## 🚀 **Installation Options**
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```bash
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# 1. Core installation (minimal dependencies)
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pip install -e .
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# 2. Enhanced installation (recommended)
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pip install -e ".[enhanced]"
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# 3. Full installation (all features)
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pip install -e ".[full]"
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# 4. Development installation
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pip install -e ".[dev]"
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```
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---
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## 🛡️ **Graceful Fallback System**
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The package is designed to work even when optional dependencies are missing:
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- **✅ Core functionality** always available with just `fastmcp`
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- **⚠️ Enhanced features** gracefully degrade when dependencies missing
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- **🚫 No crashes** due to missing optional dependencies
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- **📝 Clear warnings** when fallbacks are used
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---
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## 🔧 **Key Improvements Made**
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### 1. **Import Fixes**
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- ✅ Added missing `Dict`, `List` from typing
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- ✅ Fixed `json_module` → `json` references
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- ✅ Added graceful fallbacks for all optional imports
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- ✅ Fixed Python 3.10+ syntax for broader compatibility
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### 2. **Dependency Management**
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- ✅ Updated `pyproject.toml` with logical dependency groups
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- ✅ Changed Python requirement to `>=3.8` (broader compatibility)
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- ✅ Removed unused dependencies (`GitPython`, `httpx`)
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- ✅ Added proper version pinning
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### 3. **Package Structure**
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- ✅ All modules import successfully
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- ✅ Graceful error handling throughout
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- ✅ Comprehensive test validation
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- ✅ Clean separation of core vs. enhanced features
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---
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## 📊 **Validation Results**
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```
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🧪 Enhanced MCP Tools Package Validation
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✅ Package structure is correct
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✅ All imports work with graceful fallbacks
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✅ pyproject.toml is properly configured
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🎉 ALL TESTS PASSED!
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```
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### Import Test Results:
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```
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✅ Core package imports
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✅ file_operations.EnhancedFileOperations
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✅ archive_compression.ArchiveCompression
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✅ git_integration.GitIntegration
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✅ asciinema_integration.AsciinemaIntegration
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✅ sneller_analytics.SnellerAnalytics
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✅ intelligent_completion.IntelligentCompletion
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✅ diff_patch.DiffPatchOperations
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✅ workflow_tools (all classes)
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```
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---
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## 🎯 **Next Steps**
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1. **Install the package:**
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```bash
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pip install -e ".[enhanced]"
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```
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2. **Test the installation:**
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```bash
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python3 test_package_structure.py
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```
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3. **Start using Enhanced MCP Tools:**
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```python
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from enhanced_mcp import create_server
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app = create_server()
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app.run()
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```
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---
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## 📁 **Files Modified**
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- **`enhanced_mcp/base.py`** - Core imports with graceful fallbacks
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- **`enhanced_mcp/sneller_analytics.py`** - Fixed JSON references
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- **`enhanced_mcp/asciinema_integration.py`** - Fixed JSON references
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- **`enhanced_mcp/file_operations.py`** - Added watchdog fallback
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- **`pyproject.toml`** - Complete dependency reorganization
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---
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## 🏆 **Success Metrics**
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- ✅ **100% import success rate**
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- ✅ **Zero hard dependency failures**
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- ✅ **Python 3.8+ compatibility**
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- ✅ **Graceful degradation**
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- ✅ **Modern dependency management**
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**Enhanced MCP Tools is now production-ready! 🚀**
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