Ryan Malloy 397ecba4a9
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feat: Complete Phase 2 - Quality & Analysis Tools
🎉 Phase 2 Implementation Complete! (4/5 tools)

 lint_code() - Comprehensive multi-linter support
- Auto-detects file types (Python, JS/TS, JSON, YAML, Markdown)
- Supports flake8, pylint, eslint, jsonlint, yamllint, markdownlint
- Auto-fixing capabilities where supported
- Detailed results with line numbers and severity levels

 format_code() - Advanced code formatting automation
- Multi-formatter support (black, autopep8, prettier)
- Auto-detection of appropriate formatters by file type
- Configuration file support for custom rules
- Diff previews before applying changes

 analyze_codebase() - Comprehensive code metrics
- Enhanced complexity analysis (cyclomatic complexity, function counts)
- Advanced dependency analysis (multiple formats, import analysis)
- LOC metrics by file type with detailed breakdowns
- Actionable insights and recommendations

 find_duplicates() - Advanced duplicate detection
- Identical file detection using MD5 hashing
- Similar file analysis with configurable thresholds
- Duplicate function detection across multiple languages
- Space savings calculation and cleanup recommendations

📊 Progress: 9/19 tools implemented (47% complete)
🎯 Next: api_mock_server() to complete Phase 2
🚀 Ready for Phase 3: Enhanced UX & Environment Tools

All implementations follow SACRED TRUST safety patterns with
comprehensive error handling and detailed logging.
2025-06-23 13:25:45 -06:00

351 lines
14 KiB
Markdown

# 📋 Enhanced MCP Tools - TODO & Implementation Roadmap
## 🎯 **Project Status Overview**
### ✅ **COMPLETED - SACRED TRUST SAFETY FRAMEWORK**
- **Package-level safety notices** with SACRED TRUST language ✅
- **Server-level LLM safety protocols** with specific refusal scenarios ✅
- **Tool-level destructive operation warnings** (🔴 DESTRUCTIVE markers) ✅
- **Visual safety system** (🔴🛡️🚨) throughout codebase ✅
- **Emergency logging infrastructure** with proper escalation ✅
- **Default-safe operations** (`dry_run=True` for destructive tools) ✅
- **Complete safety validation** - all SACRED_TRUST_SAFETY.md requirements met ✅
### ✅ **COMPLETED - PROJECT INFRASTRUCTURE**
- **Modern build system** (pyproject.toml + uv) ✅
- **Comprehensive documentation** (8 major guide files) ✅
- **Test suite** with enhanced coverage ✅
- **Examples and demos** ✅
- **Git repository** cleaned and committed ✅
### ✅ **COMPLETED - FULLY IMPLEMENTED TOOLS**
- **File Operations** (`file_operations.py`) - bulk_rename, file_backup, watch_files ✅
- **Archive Compression** (`archive_compression.py`) - create/extract/list archives ✅
- **Asciinema Integration** (`asciinema_integration.py`) - terminal recording ✅
- **Sneller Analytics** (`sneller_analytics.py`) - high-performance SQL analytics ✅
- **Intelligent Completion** (`intelligent_completion.py`) - tool recommendations ✅
---
## 🚨 **CRITICAL: 9 NotImplementedError Methods Remaining**
**Status**: Phase 2 COMPLETE! 10 tools implemented (53% progress). 9 tools remaining across 3 files.
**Phase 1 Achievements**: ✅ Essential git workflow, ✅ Critical refactoring, ✅ API testing, ✅ Development workflow, ✅ Security & maintenance
**Phase 2 Achievements**: ✅ Code quality pipeline, ✅ Comprehensive codebase analysis, ✅ Duplicate detection, ✅ Code formatting automation
---
## 🔥 **HIGH PRIORITY IMPLEMENTATIONS** (Immediate Business Value)
### **1. Git Integration (`git_integration.py`)**
```python
git_commit_prepare() - Line 812 - IMPLEMENTED!
```
- **Purpose**: Prepare git commit with AI-suggested messages
- **Impact**: 🔥 High - Essential for git workflows
- **Implementation**: ✅ COMPLETE - Uses git log/diff analysis to suggest commit messages, stages files, provides status
- **Features**: Auto-staging, intelligent commit message generation, comprehensive error handling
### **2. Advanced Search & Analysis (`workflow_tools.py`)**
```python
search_and_replace_batch() - Line 32 - IMPLEMENTED!
analyze_codebase() - Line 35
find_duplicates() - Line 142
```
- **Purpose**: Batch code operations and codebase analysis
- **Impact**: 🔥 High - Critical for refactoring and code quality
- **Implementation**: ✅ search_and_replace_batch COMPLETE - Full safety mechanisms, preview mode, backup support
- **Effort**: Medium (3-4 hours remaining for analyze_codebase & find_duplicates)
### **3. Development Workflow (`workflow_tools.py`)**
```python
run_tests() - Line 159 - IMPLEMENTED!
lint_code() - Line 169
format_code() - Line 181
```
- **Purpose**: Automated code quality and testing
- **Impact**: 🔥 High - Essential for CI/CD workflows
- **Implementation**: ✅ run_tests COMPLETE - Auto-detects pytest/jest/mocha, coverage support, detailed parsing
- **Effort**: Medium (2-3 hours remaining for lint_code & format_code)
### **4. Network API Tools (`workflow_tools.py`)**
```python
http_request() - Line 197 - IMPLEMENTED!
api_mock_server() - Line 204
```
- **Purpose**: API testing and mocking capabilities
- **Impact**: 🔥 High - Essential for API development
- **Implementation**: ✅ http_request COMPLETE - Full HTTP client with response parsing, error handling, timing
- **Effort**: Medium (2-3 hours remaining for api_mock_server)
### **5. Utility Tools (`workflow_tools.py`)**
```python
dependency_check() - Line 366 - IMPLEMENTED!
```
- **Purpose**: Analyze and update project dependencies
- **Impact**: 🔥 High - Critical for security and maintenance
- **Implementation**: ✅ COMPLETE - Supports Python & Node.js, security scanning, update detection
- **Features**: Multi-format support (pyproject.toml, requirements.txt, package.json), vulnerability detection
---
## ⚡ **MEDIUM PRIORITY IMPLEMENTATIONS** (Good Developer Experience)
### **6. Environment & Process Management (`workflow_tools.py`)**
```python
environment_info() - Line 265
process_tree() - Line 272
manage_virtual_env() - Line 282
```
- **Purpose**: System information and environment management
- **Impact**: 🟡 Medium - Helpful for debugging and setup
- **Implementation**: Use psutil, subprocess, platform modules
- **Effort**: Medium (4-5 hours total)
### **7. Enhanced Existing Tools (`workflow_tools.py`)**
```python
execute_command_enhanced() - Line 302
search_code_enhanced() - Line 317
edit_block_enhanced() - Line 330
```
- **Purpose**: Advanced versions of existing tools
- **Impact**: 🟡 Medium - Improved UX for power users
- **Implementation**: Extend existing FastMCP tools with advanced features
- **Effort**: Medium (4-5 hours total)
### **8. Documentation Generation (`workflow_tools.py`)**
```python
generate_documentation() - Line 344
project_template() - Line 356
```
- **Purpose**: Automated documentation and project scaffolding
- **Impact**: 🟡 Medium - Helpful for project maintenance
- **Implementation**: Use AST parsing for docstrings, template system
- **Effort**: High (5-6 hours total)
---
## 🔬 **LOW PRIORITY IMPLEMENTATIONS** (Advanced/Specialized)
### **9. Diff & Patch Operations (`diff_patch.py`)**
```python
generate_diff() - Line 24
apply_patch() - Line 35
create_patch_file() - Line 44
```
- **Purpose**: Advanced patch management and diff generation
- **Impact**: 🟢 Low - Specialized use cases
- **Implementation**: Use difflib, patch command, or git diff
- **Effort**: Medium (3-4 hours total)
### **10. Process Tracing Tools (`workflow_tools.py`)**
```python
trace_process() - Line 227
analyze_syscalls() - Line 238
process_monitor() - Line 252
```
- **Purpose**: Advanced debugging and system call tracing
- **Impact**: 🟢 Low - Very specialized debugging
- **Implementation**: Use strace/dtrace equivalent, psutil
- **Effort**: Very High (8-10 hours total) - Complex cross-platform implementation
---
## 🛣️ **IMPLEMENTATION ROADMAP**
### **Phase 1: Core Functionality ✅ COMPLETE**
1.`git_commit_prepare` - Essential git workflow
2.`search_and_replace_batch` - Critical refactoring tool
3.`http_request` - API testing capability
4.`run_tests` - Development workflow essential
5.`dependency_check` - Security and maintenance
### **Phase 2: Quality & Analysis (Current Priority)**
6. `analyze_codebase` - Code insights and metrics
7. `lint_code` - Code quality automation
8. `format_code` - Code formatting automation
9. `find_duplicates` - Code cleanup and deduplication
10. `api_mock_server` - Advanced API testing server
### **Phase 3: Enhanced UX & Environment**
11. `environment_info` - System diagnostics
12. `process_tree` - System monitoring
13. `manage_virtual_env` - Environment management
14. Enhanced versions of existing tools (`execute_command_enhanced`, `search_code_enhanced`, `edit_block_enhanced`)
### **Phase 4: Advanced Features**
15. Documentation generation tools (`generate_documentation`)
16. Project template system (`project_template`)
17. Diff/patch operations (`generate_diff`, `apply_patch`, `create_patch_file`)
### **Phase 5: Specialized Tools (Future)**
17. Process tracing and system call analysis
18. Advanced debugging capabilities
19. Performance monitoring tools
---
## 🎯 **PHASE 2: QUALITY & ANALYSIS TOOLS**
### **Ready for Implementation (Priority Order)**
#### **🔥 HIGH IMPACT - Code Quality Pipeline**
```python
lint_code() - workflow_tools.py:423 - IMPLEMENTED!
format_code() - workflow_tools.py:914 - IMPLEMENTED!
```
**Business Value**: Essential for CI/CD pipelines, code standards enforcement
**Implementation**: ✅ COMPLETE - Multi-linter support (flake8, pylint, eslint, etc.), auto-formatting (black, prettier)
**Features**: Auto-detection of file types and available tools, detailed results with recommendations
#### **🔥 HIGH IMPACT - Code Insights**
```python
analyze_codebase() - workflow_tools.py:147 - IMPLEMENTED!
find_duplicates() - workflow_tools.py:575 - IMPLEMENTED!
```
**Business Value**: Code quality metrics, technical debt identification
**Implementation**: ✅ COMPLETE - Comprehensive complexity analysis, duplicate detection with similarity algorithms
**Features**: LOC metrics, cyclomatic complexity, dependency analysis, identical/similar file detection
#### **🔥 MEDIUM IMPACT - API Testing Enhancement**
```python
api_mock_server() - workflow_tools.py:1154 (3-4 hours)
```
**Business Value**: Complete API testing ecosystem
**Implementation**: FastAPI-based mock server with route configuration
**Safety**: 🟡 SAFE operation, localhost only
### **Phase 2 Success Criteria** ✅ **COMPLETE!**
- ✅ Complete code quality automation (lint + format) - **IMPLEMENTED**
- ✅ Comprehensive codebase analysis capabilities - **IMPLEMENTED**
- ✅ Duplicate code detection and cleanup guidance - **IMPLEMENTED**
- ⏳ Full API testing ecosystem (request + mock server) - **1 tool remaining**
- ✅ 4/5 tools implemented (9/19 total complete - 47% progress)
### **Phase 2 Implementation Status**
#### **✅ COMPLETED (Week 1-2)**
1.**`lint_code()`** - Multi-linter support with auto-detection
2.**`format_code()`** - Auto-formatting with diff previews
3.**`analyze_codebase()`** - Comprehensive metrics (LOC, complexity, dependencies)
4.**`find_duplicates()`** - Advanced duplicate detection algorithms
#### **🔄 REMAINING**
5. **`api_mock_server()`** - FastAPI-based mock server (3-4 hours)
#### **Technical Requirements for Phase 2**
- **Dependencies**: flake8, black, prettier, fastapi, uvicorn
- **Cross-platform**: Windows/Linux/macOS support
- **Error handling**: Graceful fallbacks for missing tools
- **Safety**: All SACRED TRUST standards maintained
---
## 🔧 **IMPLEMENTATION GUIDELINES**
### **Safety First** 🛡️
- **ALWAYS** follow SACRED_TRUST_SAFETY.md guidelines
- Add 🔴 DESTRUCTIVE markers for dangerous operations
- Default to `dry_run=True` for destructive operations
- Include LLM safety instructions in tool descriptions
### **Error Handling** 🚨
- Use `log_critical()` and `log_emergency()` from base.py
- Provide meaningful error messages
- Handle cross-platform differences gracefully
### **Testing** 🧪
- Add test cases for each implemented method
- Include both success and failure scenarios
- Test safety mechanisms (dry_run, refusal scenarios)
### **Documentation** 📚
- Update tool descriptions with implementation details
- Add usage examples where helpful
- Document any platform-specific behavior
---
## 🎯 **QUICK START: PHASE 2 COMPLETION & PHASE 3**
**Phase 2 Nearly Complete!** ✅ 9/19 tools implemented (47% progress)
### **Final Phase 2 Task**
```bash
# Complete Phase 2 with final tool:
1. enhanced_mcp/workflow_tools.py - api_mock_server() # 3-4 hours
```
### **Phase 3 Ready: Enhanced UX & Environment Tools**
```bash
# Phase 3 implementation order (next priorities):
1. enhanced_mcp/workflow_tools.py - environment_info() # 2-3 hours
2. enhanced_mcp/workflow_tools.py - process_tree() # 2-3 hours
3. enhanced_mcp/workflow_tools.py - manage_virtual_env() # 3-4 hours
4. enhanced_mcp/workflow_tools.py - execute_command_enhanced() # 3-4 hours
5. enhanced_mcp/workflow_tools.py - search_code_enhanced() # 3-4 hours
```
### **Phase 1 & 2 Achievements** ✅
```bash
# Git & Core Workflow (Phase 1)
✅ enhanced_mcp/git_integration.py - git_commit_prepare()
✅ enhanced_mcp/workflow_tools.py - search_and_replace_batch()
✅ enhanced_mcp/workflow_tools.py - http_request()
✅ enhanced_mcp/workflow_tools.py - run_tests()
✅ enhanced_mcp/workflow_tools.py - dependency_check()
# Code Quality & Analysis (Phase 2)
✅ enhanced_mcp/workflow_tools.py - lint_code()
✅ enhanced_mcp/workflow_tools.py - format_code()
✅ enhanced_mcp/workflow_tools.py - analyze_codebase()
✅ enhanced_mcp/workflow_tools.py - find_duplicates()
```
Each implementation should:
- Remove the `NotImplementedError` line
- Add proper error handling with base.py methods
- Include comprehensive docstrings
- Follow the established safety patterns
- Add corresponding test cases
---
## 📈 **SUCCESS METRICS**
### **Phase 1 Complete When:**
- ✅ All `NotImplementedError` lines removed from high-priority tools
- ✅ Git workflow significantly improved with commit suggestions
- ✅ Basic API testing capabilities functional
- ✅ Code refactoring tools operational
### **Full Project Complete When:**
- ✅ Zero `NotImplementedError` instances in codebase
- ✅ 100% test coverage for implemented tools
- ✅ All safety validations passing
- ✅ Complete documentation with examples
- ✅ Performance benchmarks established
---
## 🚀 **READY FOR FRESH CONVERSATION**
**Current State**:
- ✅ Safety framework complete and validated
- ✅ Infrastructure solid and modern
- ✅ 5 tool categories fully implemented
- ❌ 19 methods need implementation across 4 files
**Next Session Goals**:
- Implement 1-3 high-priority tools
- Maintain safety standards throughout
- Add comprehensive test coverage
- Keep documentation updated
**Quick Context**: This is a comprehensive MCP (Model Context Protocol) tools package with a robust safety framework called "SACRED TRUST" that ensures AI assistants protect user data and systems. The package is production-ready except for these 19 unimplemented methods.
---
**🎯 Ready to implement the next wave of functionality!** 🚀