Ryan Malloy
397ecba4a9
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🎉 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.
2566 lines
109 KiB
Python
2566 lines
109 KiB
Python
"""
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Workflow and Utility Tools Module
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Provides development workflow, networking, process management, and utility tools.
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"""
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import fnmatch
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from .base import *
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class AdvancedSearchAnalysis(MCPMixin):
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"""Advanced search and code analysis tools"""
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@mcp_tool(
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name="search_and_replace_batch",
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description=(
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"🔴 DESTRUCTIVE: Perform search/replace across multiple files with preview. "
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"🛡️ LLM SAFETY: ALWAYS use dry_run=True first! REFUSE if human requests "
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"dry_run=False without reviewing preview. Can cause widespread data corruption."
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),
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)
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async def search_and_replace_batch(
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self,
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directory: str,
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search_pattern: str,
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replacement: str,
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file_pattern: Optional[str] = None,
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dry_run: Optional[bool] = True,
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backup: Optional[bool] = True,
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ctx: Context = None,
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) -> Dict[str, Any]:
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"""Batch search and replace across files with safety mechanisms"""
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try:
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if not dry_run and ctx:
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await ctx.error("🚨 DESTRUCTIVE OPERATION BLOCKED: Use dry_run=True first to preview changes!")
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return {"error": "SAFETY: Must use dry_run=True to preview changes before execution"}
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directory_path = Path(directory)
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if not directory_path.exists():
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return {"error": f"Directory not found: {directory}"}
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# Determine file pattern for matching
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if file_pattern is None:
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file_pattern = "*"
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# Find matching files
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matching_files = []
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if '*' in file_pattern or '?' in file_pattern:
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# Use glob pattern
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for pattern_match in directory_path.rglob(file_pattern):
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if pattern_match.is_file():
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matching_files.append(pattern_match)
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else:
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# Use file extension filter
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for file_path in directory_path.rglob("*"):
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if file_path.is_file() and file_path.suffix == file_pattern:
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matching_files.append(file_path)
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changes = []
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total_matches = 0
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backup_paths = []
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for file_path in matching_files:
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try:
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# Skip binary files and very large files
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if file_path.stat().st_size > 10 * 1024 * 1024: # 10MB limit
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continue
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# Read file content
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with open(file_path, 'r', encoding='utf-8', errors='ignore') as f:
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content = f.read()
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# Find matches
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import re
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matches = list(re.finditer(search_pattern, content))
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if matches:
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# Perform replacement
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new_content = re.sub(search_pattern, replacement, content)
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# Create backup if requested and not dry run
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backup_path = None
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if backup and not dry_run:
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backup_path = file_path.with_suffix(f"{file_path.suffix}.bak.{int(time.time())}")
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shutil.copy2(file_path, backup_path)
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backup_paths.append(str(backup_path))
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# Write new content if not dry run
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if not dry_run:
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with open(file_path, 'w', encoding='utf-8') as f:
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f.write(new_content)
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# Record change information
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change_info = {
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"file": str(file_path.relative_to(directory_path)),
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"matches": len(matches),
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"backup_created": backup_path is not None,
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"backup_path": str(backup_path) if backup_path else None,
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"preview": {
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"first_match": {
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"line": content[:matches[0].start()].count('\n') + 1,
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"old": matches[0].group(),
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"new": re.sub(search_pattern, replacement, matches[0].group())
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}
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} if matches else None
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}
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changes.append(change_info)
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total_matches += len(matches)
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except (UnicodeDecodeError, PermissionError) as e:
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# Skip files we can't read
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continue
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result = {
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"operation": "search_and_replace_batch",
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"directory": directory,
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"search_pattern": search_pattern,
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"replacement": replacement,
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"file_pattern": file_pattern,
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"dry_run": dry_run,
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"backup_enabled": backup,
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"summary": {
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"files_scanned": len(matching_files),
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"files_with_matches": len(changes),
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"total_matches": total_matches,
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"backups_created": len(backup_paths)
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},
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"changes": changes,
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"backup_paths": backup_paths
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}
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if ctx:
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if dry_run:
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await ctx.info(f"DRY RUN: Found {total_matches} matches in {len(changes)} files. Review before setting dry_run=False")
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else:
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await ctx.info(f"Replaced {total_matches} matches in {len(changes)} files with {len(backup_paths)} backups created")
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return result
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except Exception as e:
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error_msg = f"Search and replace batch operation failed: {str(e)}"
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if ctx:
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await self.log_critical(error_msg, exception=e, ctx=ctx)
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return {"error": error_msg}
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@mcp_tool(name="analyze_codebase", description="Generate codebase statistics and insights")
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async def analyze_codebase(
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self,
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directory: str,
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include_metrics: List[Literal["loc", "complexity", "dependencies"]],
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exclude_patterns: Optional[List[str]] = None,
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ctx: Context = None,
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) -> Dict[str, Any]:
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"""Analyze codebase and return metrics"""
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try:
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dir_path = Path(directory)
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if not dir_path.exists():
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return {"error": f"Directory not found: {directory}"}
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if ctx:
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await ctx.info(f"Analyzing codebase: {directory}")
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exclude_patterns = exclude_patterns or ["*.pyc", "__pycache__", ".git", ".venv", "node_modules"]
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def should_exclude(path: Path) -> bool:
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for pattern in exclude_patterns:
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if fnmatch.fnmatch(path.name, pattern) or fnmatch.fnmatch(str(path), pattern):
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return True
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return False
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stats = {
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"directory": directory,
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"timestamp": datetime.now().isoformat(),
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"metrics": {},
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"files_analyzed": [],
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"summary": {}
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}
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# Collect files
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files = []
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for file_path in dir_path.rglob("*"):
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if file_path.is_file() and not should_exclude(file_path):
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files.append(file_path)
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stats["summary"]["total_files"] = len(files)
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# LOC metrics
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if "loc" in include_metrics:
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total_lines = 0
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file_types = {}
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for file_path in files:
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try:
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if file_path.suffix:
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ext = file_path.suffix.lower()
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if ext in ['.py', '.js', '.ts', '.java', '.cpp', '.c', '.go', '.rs', '.rb']:
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with open(file_path, 'r', encoding='utf-8', errors='ignore') as f:
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lines = len(f.readlines())
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total_lines += lines
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if ext not in file_types:
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file_types[ext] = {"files": 0, "lines": 0}
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file_types[ext]["files"] += 1
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file_types[ext]["lines"] += lines
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stats["files_analyzed"].append({
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"path": str(file_path.relative_to(dir_path)),
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"extension": ext,
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"lines": lines
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})
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except Exception:
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continue
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stats["metrics"]["loc"] = {
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"total_lines": total_lines,
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"file_types": file_types
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}
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# Complexity metrics (enhanced implementation)
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if "complexity" in include_metrics:
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complexity_data = {
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"total_functions": 0,
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"total_classes": 0,
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"average_function_length": 0,
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"largest_files": [],
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"cyclomatic_complexity": {"files": [], "average": 0},
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"file_complexity_distribution": {"simple": 0, "moderate": 0, "complex": 0, "very_complex": 0}
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}
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function_lengths = []
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all_complexity_scores = []
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for file_path in files:
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if file_path.suffix.lower() in ['.py', '.js', '.ts', '.java', '.cpp', '.c']:
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try:
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with open(file_path, 'r', encoding='utf-8', errors='ignore') as f:
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content = f.read()
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lines = content.count('\n') + 1
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# Basic complexity analysis
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file_complexity = self._analyze_file_complexity(content, file_path.suffix.lower())
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complexity_data["total_functions"] += file_complexity["functions"]
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complexity_data["total_classes"] += file_complexity["classes"]
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function_lengths.extend(file_complexity["function_lengths"])
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# File size categorization
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if lines > 500:
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complexity_data["largest_files"].append({
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"file": str(file_path.relative_to(dir_path)),
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"lines": lines,
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"functions": file_complexity["functions"],
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"classes": file_complexity["classes"]
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})
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# Categorize file complexity
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complexity_score = file_complexity["complexity_score"]
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all_complexity_scores.append(complexity_score)
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if complexity_score < 10:
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complexity_data["file_complexity_distribution"]["simple"] += 1
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elif complexity_score < 20:
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complexity_data["file_complexity_distribution"]["moderate"] += 1
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elif complexity_score < 50:
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complexity_data["file_complexity_distribution"]["complex"] += 1
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else:
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complexity_data["file_complexity_distribution"]["very_complex"] += 1
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complexity_data["cyclomatic_complexity"]["files"].append({
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"file": str(file_path.relative_to(dir_path)),
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"score": complexity_score
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})
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except Exception:
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continue
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# Calculate averages
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if function_lengths:
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complexity_data["average_function_length"] = sum(function_lengths) / len(function_lengths)
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if all_complexity_scores:
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complexity_data["cyclomatic_complexity"]["average"] = sum(all_complexity_scores) / len(all_complexity_scores)
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# Sort largest files and keep top 10
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complexity_data["largest_files"] = sorted(
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complexity_data["largest_files"],
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key=lambda x: x["lines"],
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reverse=True
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)[:10]
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# Sort by complexity score and keep top 10
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complexity_data["cyclomatic_complexity"]["files"] = sorted(
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complexity_data["cyclomatic_complexity"]["files"],
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key=lambda x: x["score"],
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reverse=True
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)[:10]
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stats["metrics"]["complexity"] = complexity_data
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# Dependencies metrics (enhanced implementation)
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if "dependencies" in include_metrics:
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deps = {
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"package_files": [],
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"dependency_counts": {},
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"dependency_details": {},
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"vulnerabilities_detected": False,
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"outdated_deps": [],
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"recommendations": []
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}
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# Find and analyze dependency files
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for file_path in files:
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file_name = file_path.name.lower()
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if file_name in ["requirements.txt", "package.json", "cargo.toml", "go.mod", "pyproject.toml", "pipfile", "composer.json", "gemfile"]:
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deps["package_files"].append(str(file_path.relative_to(dir_path)))
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# Analyze specific dependency files
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try:
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dep_analysis = self._analyze_dependency_file(file_path)
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deps["dependency_details"][file_name] = dep_analysis
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if "count" in dep_analysis:
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deps["dependency_counts"][file_name] = dep_analysis["count"]
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except Exception as e:
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deps["dependency_details"][file_name] = {"error": str(e)}
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# Import analysis for Python files
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import_counts = {"total": 0, "stdlib": 0, "third_party": 0, "local": 0}
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unique_imports = set()
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for file_path in files:
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if file_path.suffix.lower() == '.py':
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try:
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imports = self._extract_python_imports(file_path)
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import_counts["total"] += len(imports["all"])
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import_counts["stdlib"] += len(imports["stdlib"])
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import_counts["third_party"] += len(imports["third_party"])
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import_counts["local"] += len(imports["local"])
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unique_imports.update(imports["all"])
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except Exception:
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continue
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deps["import_analysis"] = {
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"counts": import_counts,
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"unique_imports": len(unique_imports),
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"most_imported": list(unique_imports)[:20] # Top 20
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}
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# Generate recommendations
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if len(deps["package_files"]) == 0:
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deps["recommendations"].append("No dependency files found - consider adding requirements.txt or package.json")
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elif len(deps["package_files"]) > 2:
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deps["recommendations"].append("Multiple dependency files detected - ensure consistency")
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if import_counts["third_party"] > 50:
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deps["recommendations"].append("High number of third-party dependencies - consider dependency review")
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stats["metrics"]["dependencies"] = deps
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if ctx:
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await ctx.info(f"Analysis complete: {len(files)} files analyzed")
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return stats
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except Exception as e:
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if ctx:
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await ctx.error(f"Codebase analysis failed: {str(e)}")
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return {"error": str(e)}
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def _analyze_file_complexity(self, content: str, extension: str) -> Dict[str, Any]:
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"""Analyze complexity metrics for a single file"""
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complexity = {
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"functions": 0,
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"classes": 0,
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"function_lengths": [],
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"complexity_score": 0
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}
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lines = content.split('\n')
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current_function_lines = 0
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if extension == '.py':
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# Python complexity analysis
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for i, line in enumerate(lines):
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stripped = line.strip()
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# Count functions and classes
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if stripped.startswith('def '):
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complexity["functions"] += 1
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if current_function_lines > 0:
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complexity["function_lengths"].append(current_function_lines)
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current_function_lines = 1
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elif stripped.startswith('class '):
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complexity["classes"] += 1
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elif current_function_lines > 0:
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current_function_lines += 1
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# Complexity indicators
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if any(keyword in stripped for keyword in ['if ', 'elif ', 'for ', 'while ', 'try:', 'except:', 'with ']):
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complexity["complexity_score"] += 1
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if any(keyword in stripped for keyword in ['and ', 'or ', '&&', '||']):
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complexity["complexity_score"] += 0.5
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elif extension in ['.js', '.ts']:
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# JavaScript/TypeScript complexity analysis
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for line in lines:
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stripped = line.strip()
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# Count functions
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if 'function ' in stripped or '=>' in stripped:
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complexity["functions"] += 1
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if 'class ' in stripped:
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complexity["classes"] += 1
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|
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# Complexity indicators
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if any(keyword in stripped for keyword in ['if ', 'else', 'for ', 'while ', 'switch', 'case', 'try', 'catch']):
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complexity["complexity_score"] += 1
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if any(keyword in stripped for keyword in ['&&', '||', '?', ':']):
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complexity["complexity_score"] += 0.5
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# Add final function length if we were tracking one
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if current_function_lines > 0:
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complexity["function_lengths"].append(current_function_lines)
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return complexity
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|
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def _analyze_dependency_file(self, file_path: Path) -> Dict[str, Any]:
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"""Analyze a specific dependency file"""
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analysis = {"count": 0, "dependencies": [], "type": "unknown"}
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try:
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if file_path.name.lower() == "package.json":
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analysis["type"] = "npm"
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with open(file_path, 'r') as f:
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data = json.load(f)
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deps = {}
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if "dependencies" in data:
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deps.update(data["dependencies"])
|
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if "devDependencies" in data:
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deps.update(data["devDependencies"])
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|
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analysis["count"] = len(deps)
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analysis["dependencies"] = list(deps.keys())[:20] # Top 20
|
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|
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elif file_path.name.lower() in ["requirements.txt", "requirements-dev.txt"]:
|
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analysis["type"] = "pip"
|
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with open(file_path, 'r') as f:
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lines = [line.strip() for line in f if line.strip() and not line.startswith('#')]
|
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analysis["count"] = len(lines)
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analysis["dependencies"] = [line.split('==')[0].split('>=')[0].split('<=')[0] for line in lines[:20]]
|
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|
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elif file_path.name.lower() == "pyproject.toml":
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analysis["type"] = "python-project"
|
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# Basic TOML parsing without external dependencies
|
|
with open(file_path, 'r') as f:
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content = f.read()
|
|
# Simple dependency extraction
|
|
deps = []
|
|
if '[project.dependencies]' in content or 'dependencies = [' in content:
|
|
lines = content.split('\n')
|
|
in_deps = False
|
|
for line in lines:
|
|
if 'dependencies' in line and '[' in line:
|
|
in_deps = True
|
|
continue
|
|
if in_deps and ']' in line:
|
|
break
|
|
if in_deps and '"' in line:
|
|
dep = line.strip().strip(',').strip('"')
|
|
if dep:
|
|
deps.append(dep.split('>=')[0].split('==')[0])
|
|
|
|
analysis["count"] = len(deps)
|
|
analysis["dependencies"] = deps[:20]
|
|
|
|
elif file_path.name.lower() == "cargo.toml":
|
|
analysis["type"] = "cargo"
|
|
with open(file_path, 'r') as f:
|
|
content = f.read()
|
|
# Simple Cargo.toml parsing
|
|
lines = content.split('\n')
|
|
deps = []
|
|
in_deps = False
|
|
for line in lines:
|
|
if '[dependencies]' in line:
|
|
in_deps = True
|
|
continue
|
|
if in_deps and line.startswith('['):
|
|
break
|
|
if in_deps and '=' in line:
|
|
dep_name = line.split('=')[0].strip()
|
|
if dep_name:
|
|
deps.append(dep_name)
|
|
|
|
analysis["count"] = len(deps)
|
|
analysis["dependencies"] = deps[:20]
|
|
|
|
except Exception as e:
|
|
analysis["error"] = str(e)
|
|
|
|
return analysis
|
|
|
|
def _extract_python_imports(self, file_path: Path) -> Dict[str, List[str]]:
|
|
"""Extract import statements from Python file"""
|
|
imports = {"all": [], "stdlib": [], "third_party": [], "local": []}
|
|
|
|
# Standard library modules (partial list)
|
|
stdlib_modules = {
|
|
'os', 'sys', 'json', 're', 'time', 'datetime', 'collections', 'itertools',
|
|
'functools', 'typing', 'pathlib', 'subprocess', 'threading', 'multiprocessing',
|
|
'urllib', 'http', 'email', 'html', 'xml', 'csv', 'sqlite3', 'logging',
|
|
'unittest', 'argparse', 'configparser', 'tempfile', 'shutil', 'glob'
|
|
}
|
|
|
|
try:
|
|
with open(file_path, 'r', encoding='utf-8', errors='ignore') as f:
|
|
content = f.read()
|
|
|
|
# Use AST for more accurate parsing
|
|
try:
|
|
tree = ast.parse(content)
|
|
for node in ast.walk(tree):
|
|
if isinstance(node, ast.Import):
|
|
for alias in node.names:
|
|
module_name = alias.name.split('.')[0]
|
|
imports["all"].append(module_name)
|
|
|
|
if module_name in stdlib_modules:
|
|
imports["stdlib"].append(module_name)
|
|
elif module_name.startswith('.') or '.' in alias.name:
|
|
imports["local"].append(module_name)
|
|
else:
|
|
imports["third_party"].append(module_name)
|
|
|
|
elif isinstance(node, ast.ImportFrom):
|
|
if node.module:
|
|
module_name = node.module.split('.')[0]
|
|
imports["all"].append(module_name)
|
|
|
|
if module_name in stdlib_modules:
|
|
imports["stdlib"].append(module_name)
|
|
elif node.level > 0: # Relative import
|
|
imports["local"].append(module_name)
|
|
else:
|
|
imports["third_party"].append(module_name)
|
|
|
|
except SyntaxError:
|
|
# Fallback to simple regex parsing
|
|
import re
|
|
import_pattern = r'^(?:from\s+(\S+)\s+import|import\s+(\S+))'
|
|
for line in content.split('\n'):
|
|
match = re.match(import_pattern, line.strip())
|
|
if match:
|
|
module = match.group(1) or match.group(2)
|
|
if module:
|
|
module_name = module.split('.')[0]
|
|
imports["all"].append(module_name)
|
|
if module_name in stdlib_modules:
|
|
imports["stdlib"].append(module_name)
|
|
else:
|
|
imports["third_party"].append(module_name)
|
|
|
|
except Exception:
|
|
pass
|
|
|
|
# Remove duplicates while preserving order
|
|
for key in imports:
|
|
imports[key] = list(dict.fromkeys(imports[key]))
|
|
|
|
return imports
|
|
|
|
@mcp_tool(name="find_duplicates", description="🟡 SAFE: Detect duplicate code or files")
|
|
async def find_duplicates(
|
|
self,
|
|
directory: str,
|
|
similarity_threshold: Optional[float] = 80.0,
|
|
file_types: Optional[List[str]] = None,
|
|
ctx: Context = None,
|
|
) -> Dict[str, Any]:
|
|
"""Find duplicate code segments and identical files"""
|
|
try:
|
|
dir_path = Path(directory)
|
|
if not dir_path.exists():
|
|
return {"error": f"Directory not found: {directory}"}
|
|
|
|
if ctx:
|
|
await ctx.info(f"Scanning for duplicates in: {directory}")
|
|
|
|
# Default file types to analyze
|
|
if file_types is None:
|
|
file_types = ['.py', '.js', '.ts', '.java', '.cpp', '.c', '.cs', '.rb', '.php', '.go']
|
|
|
|
# Collect files
|
|
files = []
|
|
exclude_patterns = ["*.pyc", "__pycache__", ".git", ".venv", "node_modules", "*.min.js"]
|
|
|
|
def should_exclude(path: Path) -> bool:
|
|
for pattern in exclude_patterns:
|
|
if fnmatch.fnmatch(path.name, pattern) or fnmatch.fnmatch(str(path), pattern):
|
|
return True
|
|
return False
|
|
|
|
for file_path in dir_path.rglob("*"):
|
|
if (file_path.is_file() and
|
|
not should_exclude(file_path) and
|
|
file_path.suffix.lower() in file_types):
|
|
files.append(file_path)
|
|
|
|
results = {
|
|
"directory": directory,
|
|
"threshold": similarity_threshold,
|
|
"file_types": file_types,
|
|
"files_scanned": len(files),
|
|
"identical_files": [],
|
|
"similar_files": [],
|
|
"duplicate_functions": [],
|
|
"summary": {
|
|
"identical_file_groups": 0,
|
|
"similar_file_pairs": 0,
|
|
"duplicate_function_groups": 0,
|
|
"potential_savings_kb": 0
|
|
}
|
|
}
|
|
|
|
if len(files) == 0:
|
|
return {**results, "message": "No files found matching the specified criteria"}
|
|
|
|
# Find identical files (by content hash)
|
|
identical_groups = await self._find_identical_files(files, dir_path)
|
|
results["identical_files"] = identical_groups
|
|
results["summary"]["identical_file_groups"] = len(identical_groups)
|
|
|
|
# Find similar files (by content similarity)
|
|
similar_pairs = await self._find_similar_files(files, dir_path, similarity_threshold, ctx)
|
|
results["similar_files"] = similar_pairs
|
|
results["summary"]["similar_file_pairs"] = len(similar_pairs)
|
|
|
|
# Find duplicate functions/methods
|
|
duplicate_functions = await self._find_duplicate_functions(files, dir_path, similarity_threshold)
|
|
results["duplicate_functions"] = duplicate_functions
|
|
results["summary"]["duplicate_function_groups"] = len(duplicate_functions)
|
|
|
|
# Calculate potential space savings
|
|
total_savings = 0
|
|
for group in identical_groups:
|
|
if len(group["files"]) > 1:
|
|
file_size = group["size_bytes"]
|
|
total_savings += file_size * (len(group["files"]) - 1)
|
|
|
|
results["summary"]["potential_savings_kb"] = round(total_savings / 1024, 2)
|
|
|
|
# Generate recommendations
|
|
results["recommendations"] = self._generate_duplicate_recommendations(results)
|
|
|
|
if ctx:
|
|
total_duplicates = (results["summary"]["identical_file_groups"] +
|
|
results["summary"]["similar_file_pairs"] +
|
|
results["summary"]["duplicate_function_groups"])
|
|
await ctx.info(f"Duplicate analysis complete: {total_duplicates} duplicate groups found")
|
|
|
|
return results
|
|
|
|
except Exception as e:
|
|
error_msg = f"Duplicate detection failed: {str(e)}"
|
|
if ctx:
|
|
await self.log_critical(error_msg, exception=e, ctx=ctx)
|
|
return {"error": error_msg}
|
|
|
|
async def _find_identical_files(self, files: List[Path], base_path: Path) -> List[Dict[str, Any]]:
|
|
"""Find files with identical content using hash comparison"""
|
|
import hashlib
|
|
|
|
file_hashes = {}
|
|
|
|
for file_path in files:
|
|
try:
|
|
# Skip very large files (>10MB)
|
|
if file_path.stat().st_size > 10 * 1024 * 1024:
|
|
continue
|
|
|
|
with open(file_path, 'rb') as f:
|
|
content = f.read()
|
|
file_hash = hashlib.md5(content).hexdigest()
|
|
|
|
if file_hash not in file_hashes:
|
|
file_hashes[file_hash] = []
|
|
|
|
file_hashes[file_hash].append({
|
|
"path": str(file_path.relative_to(base_path)),
|
|
"size_bytes": len(content)
|
|
})
|
|
|
|
except Exception:
|
|
continue
|
|
|
|
# Return only groups with more than one file
|
|
identical_groups = []
|
|
for file_hash, file_list in file_hashes.items():
|
|
if len(file_list) > 1:
|
|
identical_groups.append({
|
|
"hash": file_hash,
|
|
"files": file_list,
|
|
"count": len(file_list),
|
|
"size_bytes": file_list[0]["size_bytes"]
|
|
})
|
|
|
|
return sorted(identical_groups, key=lambda x: x["count"], reverse=True)
|
|
|
|
async def _find_similar_files(self, files: List[Path], base_path: Path, threshold: float, ctx: Context) -> List[Dict[str, Any]]:
|
|
"""Find files with similar content using text comparison"""
|
|
similar_pairs = []
|
|
|
|
# Process files in batches to avoid memory issues
|
|
batch_size = 50
|
|
|
|
for i in range(0, len(files), batch_size):
|
|
batch_files = files[i:i + batch_size]
|
|
|
|
# Load file contents for this batch
|
|
file_contents = {}
|
|
for file_path in batch_files:
|
|
try:
|
|
if file_path.stat().st_size > 1024 * 1024: # Skip files > 1MB
|
|
continue
|
|
|
|
with open(file_path, 'r', encoding='utf-8', errors='ignore') as f:
|
|
content = f.read()
|
|
# Normalize content for comparison
|
|
normalized = self._normalize_code_content(content)
|
|
if len(normalized) > 100: # Skip very small files
|
|
file_contents[file_path] = normalized
|
|
|
|
except Exception:
|
|
continue
|
|
|
|
# Compare files in this batch with all previous files
|
|
batch_paths = list(file_contents.keys())
|
|
|
|
for j in range(len(batch_paths)):
|
|
for k in range(j + 1, len(batch_paths)):
|
|
file1, file2 = batch_paths[j], batch_paths[k]
|
|
|
|
similarity = self._calculate_text_similarity(
|
|
file_contents[file1],
|
|
file_contents[file2]
|
|
)
|
|
|
|
if similarity >= threshold:
|
|
similar_pairs.append({
|
|
"file1": str(file1.relative_to(base_path)),
|
|
"file2": str(file2.relative_to(base_path)),
|
|
"similarity_percent": round(similarity, 1),
|
|
"file1_size": file1.stat().st_size,
|
|
"file2_size": file2.stat().st_size
|
|
})
|
|
|
|
return sorted(similar_pairs, key=lambda x: x["similarity_percent"], reverse=True)[:20] # Top 20
|
|
|
|
async def _find_duplicate_functions(self, files: List[Path], base_path: Path, threshold: float) -> List[Dict[str, Any]]:
|
|
"""Find duplicate functions/methods across files"""
|
|
function_groups = {}
|
|
|
|
for file_path in files:
|
|
if file_path.suffix.lower() not in ['.py', '.js', '.ts', '.java']:
|
|
continue
|
|
|
|
try:
|
|
with open(file_path, 'r', encoding='utf-8', errors='ignore') as f:
|
|
content = f.read()
|
|
|
|
functions = self._extract_functions(content, file_path.suffix.lower())
|
|
|
|
for func in functions:
|
|
# Create a normalized signature for comparison
|
|
normalized = self._normalize_function_content(func["content"])
|
|
|
|
if len(normalized) < 50: # Skip very small functions
|
|
continue
|
|
|
|
# Group similar functions
|
|
found_group = False
|
|
for signature, group in function_groups.items():
|
|
if self._calculate_text_similarity(normalized, signature) >= threshold:
|
|
group["functions"].append({
|
|
"file": str(file_path.relative_to(base_path)),
|
|
"name": func["name"],
|
|
"line_start": func["line_start"],
|
|
"line_end": func["line_end"]
|
|
})
|
|
found_group = True
|
|
break
|
|
|
|
if not found_group:
|
|
function_groups[normalized] = {
|
|
"signature": normalized[:100] + "...",
|
|
"functions": [{
|
|
"file": str(file_path.relative_to(base_path)),
|
|
"name": func["name"],
|
|
"line_start": func["line_start"],
|
|
"line_end": func["line_end"]
|
|
}]
|
|
}
|
|
|
|
except Exception:
|
|
continue
|
|
|
|
# Return only groups with duplicates
|
|
duplicate_groups = []
|
|
for signature, group in function_groups.items():
|
|
if len(group["functions"]) > 1:
|
|
duplicate_groups.append({
|
|
"signature_preview": group["signature"],
|
|
"functions": group["functions"],
|
|
"count": len(group["functions"])
|
|
})
|
|
|
|
return sorted(duplicate_groups, key=lambda x: x["count"], reverse=True)[:10] # Top 10
|
|
|
|
def _normalize_code_content(self, content: str) -> str:
|
|
"""Normalize code content for comparison"""
|
|
lines = content.split('\n')
|
|
normalized_lines = []
|
|
|
|
for line in lines:
|
|
# Remove leading/trailing whitespace
|
|
stripped = line.strip()
|
|
|
|
# Skip empty lines and comments
|
|
if not stripped or stripped.startswith('#') or stripped.startswith('//'):
|
|
continue
|
|
|
|
# Basic normalization (could be enhanced)
|
|
stripped = re.sub(r'\s+', ' ', stripped) # Normalize whitespace
|
|
normalized_lines.append(stripped)
|
|
|
|
return '\n'.join(normalized_lines)
|
|
|
|
def _normalize_function_content(self, content: str) -> str:
|
|
"""Normalize function content for comparison"""
|
|
# Remove function signature line and normalize body
|
|
lines = content.split('\n')[1:] # Skip first line (signature)
|
|
return self._normalize_code_content('\n'.join(lines))
|
|
|
|
def _calculate_text_similarity(self, text1: str, text2: str) -> float:
|
|
"""Calculate similarity between two text strings"""
|
|
if not text1 or not text2:
|
|
return 0.0
|
|
|
|
# Simple character-based similarity
|
|
shorter = min(len(text1), len(text2))
|
|
longer = max(len(text1), len(text2))
|
|
|
|
if longer == 0:
|
|
return 100.0
|
|
|
|
# Count matching characters in order
|
|
matches = 0
|
|
for i in range(shorter):
|
|
if text1[i] == text2[i]:
|
|
matches += 1
|
|
|
|
# Calculate similarity as percentage
|
|
return (matches / longer) * 100
|
|
|
|
def _extract_functions(self, content: str, extension: str) -> List[Dict[str, Any]]:
|
|
"""Extract function definitions from code"""
|
|
functions = []
|
|
lines = content.split('\n')
|
|
|
|
if extension == '.py':
|
|
current_function = None
|
|
indent_level = 0
|
|
|
|
for i, line in enumerate(lines):
|
|
stripped = line.strip()
|
|
if stripped.startswith('def ') and ':' in stripped:
|
|
# Save previous function
|
|
if current_function:
|
|
current_function["line_end"] = i - 1
|
|
current_function["content"] = '\n'.join(lines[current_function["line_start"]:i])
|
|
functions.append(current_function)
|
|
|
|
# Start new function
|
|
func_name = stripped.split('(')[0].replace('def ', '').strip()
|
|
current_function = {
|
|
"name": func_name,
|
|
"line_start": i,
|
|
"line_end": i,
|
|
"content": ""
|
|
}
|
|
indent_level = len(line) - len(line.lstrip())
|
|
|
|
elif current_function and line and len(line) - len(line.lstrip()) <= indent_level and stripped:
|
|
# Function ended
|
|
current_function["line_end"] = i - 1
|
|
current_function["content"] = '\n'.join(lines[current_function["line_start"]:i])
|
|
functions.append(current_function)
|
|
current_function = None
|
|
|
|
# Add last function
|
|
if current_function:
|
|
current_function["line_end"] = len(lines) - 1
|
|
current_function["content"] = '\n'.join(lines[current_function["line_start"]:])
|
|
functions.append(current_function)
|
|
|
|
elif extension in ['.js', '.ts']:
|
|
# Basic JavaScript/TypeScript function extraction
|
|
for i, line in enumerate(lines):
|
|
stripped = line.strip()
|
|
if ('function ' in stripped or '=>' in stripped) and '{' in stripped:
|
|
# Extract function name (simplified)
|
|
if 'function ' in stripped:
|
|
func_name = stripped.split('function ')[1].split('(')[0].strip()
|
|
else:
|
|
func_name = f"arrow_function_line_{i}"
|
|
|
|
# Find function end (simplified - just look for next function or end)
|
|
end_line = i + 10 # Limit search
|
|
for j in range(i + 1, min(len(lines), i + 50)):
|
|
if ('function ' in lines[j] or lines[j].strip().startswith('}')):
|
|
end_line = j
|
|
break
|
|
|
|
functions.append({
|
|
"name": func_name,
|
|
"line_start": i,
|
|
"line_end": end_line,
|
|
"content": '\n'.join(lines[i:end_line + 1])
|
|
})
|
|
|
|
return functions
|
|
|
|
def _generate_duplicate_recommendations(self, results: Dict[str, Any]) -> List[str]:
|
|
"""Generate actionable recommendations for duplicate cleanup"""
|
|
recommendations = []
|
|
summary = results["summary"]
|
|
|
|
if (summary["identical_file_groups"] == 0 and
|
|
summary["similar_file_pairs"] == 0 and
|
|
summary["duplicate_function_groups"] == 0):
|
|
recommendations.append("✅ No significant duplicates found! Codebase is well-organized.")
|
|
return recommendations
|
|
|
|
if summary["identical_file_groups"] > 0:
|
|
recommendations.append(f"🔴 Found {summary['identical_file_groups']} groups of identical files - consider removing duplicates")
|
|
if summary["potential_savings_kb"] > 0:
|
|
recommendations.append(f"💾 Potential space savings: {summary['potential_savings_kb']} KB")
|
|
|
|
if summary["similar_file_pairs"] > 0:
|
|
recommendations.append(f"⚠️ Found {summary['similar_file_pairs']} pairs of similar files - review for consolidation opportunities")
|
|
|
|
if summary["duplicate_function_groups"] > 0:
|
|
recommendations.append(f"🔧 Found {summary['duplicate_function_groups']} groups of duplicate functions - consider refactoring into shared utilities")
|
|
|
|
# Specific actions
|
|
if summary["identical_file_groups"] > 0:
|
|
recommendations.append("💡 Action: Remove or symlink identical files to reduce redundancy")
|
|
|
|
if summary["duplicate_function_groups"] > 0:
|
|
recommendations.append("💡 Action: Extract duplicate functions into a shared module or utility class")
|
|
|
|
if summary["similar_file_pairs"] > 0:
|
|
recommendations.append("💡 Action: Review similar files for opportunities to merge or create templates")
|
|
|
|
return recommendations
|
|
|
|
|
|
class DevelopmentWorkflow(MCPMixin):
|
|
"""Development workflow automation tools"""
|
|
|
|
@mcp_tool(
|
|
name="run_tests", description="🟡 SAFE: Execute test suites with intelligent framework detection"
|
|
)
|
|
async def run_tests(
|
|
self,
|
|
test_path: str,
|
|
framework: Optional[Literal["pytest", "jest", "mocha", "auto-detect"]] = "auto-detect",
|
|
pattern: Optional[str] = None,
|
|
coverage: Optional[bool] = False,
|
|
ctx: Context = None,
|
|
) -> Dict[str, Any]:
|
|
"""Run tests and return results with coverage information"""
|
|
try:
|
|
test_path_obj = Path(test_path)
|
|
if not test_path_obj.exists():
|
|
return {"error": f"Test path not found: {test_path}"}
|
|
|
|
# Auto-detect framework if needed
|
|
detected_framework = framework
|
|
if framework == "auto-detect":
|
|
# Check for Python test files and pytest
|
|
if any(test_path_obj.rglob("test_*.py")) or any(test_path_obj.rglob("*_test.py")):
|
|
detected_framework = "pytest"
|
|
# Check for JavaScript test files
|
|
elif any(test_path_obj.rglob("*.test.js")) or any(test_path_obj.rglob("*.spec.js")):
|
|
detected_framework = "jest"
|
|
elif test_path_obj.is_file() and test_path_obj.suffix == ".js":
|
|
detected_framework = "mocha"
|
|
else:
|
|
# Default to pytest for directories
|
|
detected_framework = "pytest"
|
|
|
|
# Build command based on framework
|
|
cmd = []
|
|
env_vars = os.environ.copy()
|
|
|
|
if detected_framework == "pytest":
|
|
cmd = ["python", "-m", "pytest"]
|
|
if coverage:
|
|
cmd.extend(["--cov", str(test_path_obj.parent if test_path_obj.is_file() else test_path_obj)])
|
|
cmd.extend(["--cov-report", "term-missing"])
|
|
if pattern:
|
|
cmd.extend(["-k", pattern])
|
|
cmd.append(str(test_path_obj))
|
|
cmd.extend(["-v", "--tb=short"])
|
|
|
|
elif detected_framework == "jest":
|
|
cmd = ["npx", "jest"]
|
|
if coverage:
|
|
cmd.append("--coverage")
|
|
if pattern:
|
|
cmd.extend(["--testNamePattern", pattern])
|
|
cmd.append(str(test_path_obj))
|
|
cmd.extend(["--verbose"])
|
|
|
|
elif detected_framework == "mocha":
|
|
cmd = ["npx", "mocha"]
|
|
if pattern:
|
|
cmd.extend(["--grep", pattern])
|
|
cmd.append(str(test_path_obj))
|
|
cmd.append("--reporter")
|
|
cmd.append("json")
|
|
|
|
else:
|
|
return {"error": f"Unsupported test framework: {detected_framework}"}
|
|
|
|
# Run the tests
|
|
start_time = time.time()
|
|
|
|
result = subprocess.run(
|
|
cmd,
|
|
cwd=test_path_obj.parent if test_path_obj.is_file() else test_path_obj,
|
|
capture_output=True,
|
|
text=True,
|
|
env=env_vars,
|
|
timeout=300 # 5 minute timeout
|
|
)
|
|
|
|
end_time = time.time()
|
|
duration = round(end_time - start_time, 2)
|
|
|
|
# Parse results based on framework
|
|
test_results = {
|
|
"framework": detected_framework,
|
|
"command": " ".join(cmd),
|
|
"exit_code": result.returncode,
|
|
"duration_seconds": duration,
|
|
"success": result.returncode == 0,
|
|
"stdout": result.stdout,
|
|
"stderr": result.stderr,
|
|
}
|
|
|
|
# Parse output for specific metrics
|
|
if detected_framework == "pytest":
|
|
# Parse pytest output
|
|
stdout = result.stdout
|
|
failed_pattern = r"(\d+) failed"
|
|
passed_pattern = r"(\d+) passed"
|
|
|
|
failed_match = re.search(failed_pattern, stdout)
|
|
passed_match = re.search(passed_pattern, stdout)
|
|
|
|
test_results.update({
|
|
"tests_passed": int(passed_match.group(1)) if passed_match else 0,
|
|
"tests_failed": int(failed_match.group(1)) if failed_match else 0,
|
|
"coverage_info": self._extract_coverage_info(stdout) if coverage else None
|
|
})
|
|
|
|
elif detected_framework in ["jest", "mocha"]:
|
|
# Basic parsing for JavaScript frameworks
|
|
test_results.update({
|
|
"tests_passed": stdout.count("✓") if "✓" in stdout else 0,
|
|
"tests_failed": stdout.count("✗") if "✗" in stdout else 0,
|
|
})
|
|
|
|
# Summary
|
|
total_tests = test_results.get("tests_passed", 0) + test_results.get("tests_failed", 0)
|
|
test_results["total_tests"] = total_tests
|
|
test_results["pass_rate"] = round((test_results.get("tests_passed", 0) / max(total_tests, 1)) * 100, 1)
|
|
|
|
if ctx:
|
|
status_emoji = "✅" if test_results["success"] else "❌"
|
|
await ctx.info(f"{status_emoji} Tests completed: {test_results['tests_passed']}/{total_tests} passed ({duration}s)")
|
|
|
|
return test_results
|
|
|
|
except subprocess.TimeoutExpired:
|
|
error_msg = "Test execution timed out after 5 minutes"
|
|
if ctx:
|
|
await ctx.error(error_msg)
|
|
return {"error": error_msg}
|
|
|
|
except FileNotFoundError:
|
|
error_msg = f"Test framework '{detected_framework}' not found in PATH"
|
|
if ctx:
|
|
await ctx.error(error_msg)
|
|
return {"error": error_msg, "suggestion": f"Install {detected_framework} or check PATH"}
|
|
|
|
except Exception as e:
|
|
error_msg = f"Test execution failed: {str(e)}"
|
|
if ctx:
|
|
await self.log_critical(error_msg, exception=e, ctx=ctx)
|
|
return {"error": error_msg}
|
|
|
|
def _extract_coverage_info(self, stdout: str) -> Optional[Dict[str, Any]]:
|
|
"""Extract coverage information from pytest output"""
|
|
try:
|
|
# Look for coverage summary line
|
|
lines = stdout.split('\n')
|
|
for line in lines:
|
|
if "TOTAL" in line and "%" in line:
|
|
parts = line.split()
|
|
for part in parts:
|
|
if part.endswith('%'):
|
|
return {
|
|
"total_coverage": part,
|
|
"raw_line": line.strip()
|
|
}
|
|
return None
|
|
except Exception:
|
|
return None
|
|
|
|
@mcp_tool(name="lint_code", description="🟡 SAFE: Run code linting with multiple linters")
|
|
async def lint_code(
|
|
self,
|
|
file_paths: List[str],
|
|
linters: Optional[List[str]] = None,
|
|
fix: Optional[bool] = False,
|
|
ctx: Context = None,
|
|
) -> Dict[str, Any]:
|
|
"""Lint code files with automatic linter detection and optional fixing"""
|
|
try:
|
|
if not file_paths:
|
|
return {"error": "No file paths provided"}
|
|
|
|
# Validate all file paths exist
|
|
valid_files = []
|
|
for file_path in file_paths:
|
|
path_obj = Path(file_path)
|
|
if path_obj.exists() and path_obj.is_file():
|
|
valid_files.append(path_obj)
|
|
else:
|
|
if ctx:
|
|
await ctx.warning(f"File not found: {file_path}")
|
|
|
|
if not valid_files:
|
|
return {"error": "No valid files found to lint"}
|
|
|
|
# Group files by type for appropriate linter selection
|
|
file_groups = self._group_files_by_type(valid_files)
|
|
|
|
# Auto-detect linters if not specified
|
|
if linters is None:
|
|
linters = self._detect_available_linters(file_groups)
|
|
|
|
results = {
|
|
"total_files": len(valid_files),
|
|
"file_groups": {k: len(v) for k, v in file_groups.items()},
|
|
"linters_used": linters,
|
|
"fix_mode": fix,
|
|
"lint_results": {},
|
|
"summary": {
|
|
"total_issues": 0,
|
|
"errors": 0,
|
|
"warnings": 0,
|
|
"fixed_issues": 0
|
|
}
|
|
}
|
|
|
|
# Run linters for each file type
|
|
for file_type, files in file_groups.items():
|
|
if not files:
|
|
continue
|
|
|
|
type_linters = self._get_linters_for_type(file_type, linters)
|
|
if not type_linters:
|
|
results["lint_results"][file_type] = {
|
|
"status": "skipped",
|
|
"reason": f"No suitable linters available for {file_type} files"
|
|
}
|
|
continue
|
|
|
|
# Run each applicable linter
|
|
for linter in type_linters:
|
|
linter_key = f"{file_type}_{linter}"
|
|
|
|
try:
|
|
linter_result = await self._run_linter(linter, files, fix, ctx)
|
|
results["lint_results"][linter_key] = linter_result
|
|
|
|
# Update summary stats
|
|
if "issues" in linter_result:
|
|
issues = linter_result["issues"]
|
|
results["summary"]["total_issues"] += len(issues)
|
|
results["summary"]["errors"] += len([i for i in issues if i.get("severity") == "error"])
|
|
results["summary"]["warnings"] += len([i for i in issues if i.get("severity") == "warning"])
|
|
|
|
if "fixed_count" in linter_result:
|
|
results["summary"]["fixed_issues"] += linter_result["fixed_count"]
|
|
|
|
except Exception as e:
|
|
results["lint_results"][linter_key] = {
|
|
"status": "failed",
|
|
"error": str(e)
|
|
}
|
|
|
|
# Generate recommendations
|
|
results["recommendations"] = self._generate_lint_recommendations(results)
|
|
|
|
if ctx:
|
|
total_issues = results["summary"]["total_issues"]
|
|
fixed_issues = results["summary"]["fixed_issues"]
|
|
status_emoji = "✅" if total_issues == 0 else "⚠️" if total_issues < 10 else "🚨"
|
|
|
|
if fix and fixed_issues > 0:
|
|
await ctx.info(f"{status_emoji} Linting complete: {total_issues} issues found, {fixed_issues} auto-fixed")
|
|
else:
|
|
await ctx.info(f"{status_emoji} Linting complete: {total_issues} issues found across {len(valid_files)} files")
|
|
|
|
return results
|
|
|
|
except Exception as e:
|
|
error_msg = f"Code linting failed: {str(e)}"
|
|
if ctx:
|
|
await self.log_critical(error_msg, exception=e, ctx=ctx)
|
|
return {"error": error_msg}
|
|
|
|
def _group_files_by_type(self, files: List[Path]) -> Dict[str, List[Path]]:
|
|
"""Group files by programming language/type"""
|
|
groups = {
|
|
"python": [],
|
|
"javascript": [],
|
|
"typescript": [],
|
|
"json": [],
|
|
"yaml": [],
|
|
"markdown": [],
|
|
"other": []
|
|
}
|
|
|
|
for file_path in files:
|
|
suffix = file_path.suffix.lower()
|
|
|
|
if suffix in ['.py', '.pyx', '.pyi']:
|
|
groups["python"].append(file_path)
|
|
elif suffix in ['.js', '.jsx', '.mjs']:
|
|
groups["javascript"].append(file_path)
|
|
elif suffix in ['.ts', '.tsx']:
|
|
groups["typescript"].append(file_path)
|
|
elif suffix in ['.json']:
|
|
groups["json"].append(file_path)
|
|
elif suffix in ['.yaml', '.yml']:
|
|
groups["yaml"].append(file_path)
|
|
elif suffix in ['.md', '.markdown']:
|
|
groups["markdown"].append(file_path)
|
|
else:
|
|
groups["other"].append(file_path)
|
|
|
|
return {k: v for k, v in groups.items() if v} # Remove empty groups
|
|
|
|
def _detect_available_linters(self, file_groups: Dict[str, List[Path]]) -> List[str]:
|
|
"""Detect which linters are available on the system"""
|
|
available_linters = []
|
|
|
|
# Python linters
|
|
if "python" in file_groups:
|
|
for linter in ["flake8", "pylint", "pycodestyle", "pyflakes"]:
|
|
if self._is_command_available(linter):
|
|
available_linters.append(linter)
|
|
|
|
# JavaScript/TypeScript linters
|
|
if "javascript" in file_groups or "typescript" in file_groups:
|
|
for linter in ["eslint", "jshint"]:
|
|
if self._is_command_available(linter):
|
|
available_linters.append(linter)
|
|
|
|
# JSON linters
|
|
if "json" in file_groups:
|
|
if self._is_command_available("jsonlint"):
|
|
available_linters.append("jsonlint")
|
|
|
|
# YAML linters
|
|
if "yaml" in file_groups:
|
|
if self._is_command_available("yamllint"):
|
|
available_linters.append("yamllint")
|
|
|
|
# Markdown linters
|
|
if "markdown" in file_groups:
|
|
if self._is_command_available("markdownlint"):
|
|
available_linters.append("markdownlint")
|
|
|
|
return available_linters
|
|
|
|
def _get_linters_for_type(self, file_type: str, available_linters: List[str]) -> List[str]:
|
|
"""Get applicable linters for a specific file type"""
|
|
type_mapping = {
|
|
"python": ["flake8", "pylint", "pycodestyle", "pyflakes"],
|
|
"javascript": ["eslint", "jshint"],
|
|
"typescript": ["eslint"],
|
|
"json": ["jsonlint"],
|
|
"yaml": ["yamllint"],
|
|
"markdown": ["markdownlint"]
|
|
}
|
|
|
|
applicable = type_mapping.get(file_type, [])
|
|
return [linter for linter in applicable if linter in available_linters]
|
|
|
|
def _is_command_available(self, command: str) -> bool:
|
|
"""Check if a command is available in PATH"""
|
|
try:
|
|
result = subprocess.run(
|
|
[command, "--version"],
|
|
capture_output=True,
|
|
timeout=5
|
|
)
|
|
return result.returncode == 0
|
|
except (subprocess.TimeoutExpired, FileNotFoundError):
|
|
return False
|
|
|
|
async def _run_linter(self, linter: str, files: List[Path], fix: bool, ctx: Context) -> Dict[str, Any]:
|
|
"""Run a specific linter on files"""
|
|
file_paths = [str(f) for f in files]
|
|
|
|
try:
|
|
if linter == "flake8":
|
|
return await self._run_flake8(file_paths, fix)
|
|
elif linter == "pylint":
|
|
return await self._run_pylint(file_paths, fix)
|
|
elif linter == "pycodestyle":
|
|
return await self._run_pycodestyle(file_paths, fix)
|
|
elif linter == "eslint":
|
|
return await self._run_eslint(file_paths, fix)
|
|
elif linter == "jsonlint":
|
|
return await self._run_jsonlint(file_paths)
|
|
elif linter == "yamllint":
|
|
return await self._run_yamllint(file_paths)
|
|
elif linter == "markdownlint":
|
|
return await self._run_markdownlint(file_paths)
|
|
else:
|
|
return {"status": "unsupported", "linter": linter}
|
|
|
|
except Exception as e:
|
|
return {"status": "error", "linter": linter, "error": str(e)}
|
|
|
|
async def _run_flake8(self, file_paths: List[str], fix: bool) -> Dict[str, Any]:
|
|
"""Run flake8 linter"""
|
|
cmd = ["flake8", "--format=json"] + file_paths
|
|
|
|
result = subprocess.run(cmd, capture_output=True, text=True, timeout=60)
|
|
|
|
issues = []
|
|
if result.stdout:
|
|
try:
|
|
# flake8 doesn't output valid JSON by default, parse line by line
|
|
for line in result.stdout.strip().split('\n'):
|
|
if line:
|
|
# Format: filename:line:col: code message
|
|
parts = line.split(':', 3)
|
|
if len(parts) >= 4:
|
|
issues.append({
|
|
"file": parts[0],
|
|
"line": int(parts[1]),
|
|
"column": int(parts[2]),
|
|
"code": parts[3].split()[0],
|
|
"message": parts[3].split(' ', 1)[1] if ' ' in parts[3] else parts[3],
|
|
"severity": "error" if parts[3].startswith(' E') else "warning"
|
|
})
|
|
except Exception:
|
|
# Fallback to simple parsing
|
|
issues = [{"message": result.stdout, "severity": "error"}]
|
|
|
|
return {
|
|
"linter": "flake8",
|
|
"status": "completed",
|
|
"exit_code": result.returncode,
|
|
"issues": issues,
|
|
"can_fix": False # flake8 doesn't auto-fix
|
|
}
|
|
|
|
async def _run_pylint(self, file_paths: List[str], fix: bool) -> Dict[str, Any]:
|
|
"""Run pylint linter"""
|
|
cmd = ["pylint", "--output-format=json"] + file_paths
|
|
|
|
result = subprocess.run(cmd, capture_output=True, text=True, timeout=120)
|
|
|
|
issues = []
|
|
if result.stdout:
|
|
try:
|
|
pylint_output = json.loads(result.stdout)
|
|
for issue in pylint_output:
|
|
issues.append({
|
|
"file": issue.get("path", ""),
|
|
"line": issue.get("line", 0),
|
|
"column": issue.get("column", 0),
|
|
"code": issue.get("message-id", ""),
|
|
"message": issue.get("message", ""),
|
|
"severity": issue.get("type", "warning")
|
|
})
|
|
except json.JSONDecodeError:
|
|
issues = [{"message": "Failed to parse pylint output", "severity": "error"}]
|
|
|
|
return {
|
|
"linter": "pylint",
|
|
"status": "completed",
|
|
"exit_code": result.returncode,
|
|
"issues": issues,
|
|
"can_fix": False # pylint doesn't auto-fix
|
|
}
|
|
|
|
async def _run_pycodestyle(self, file_paths: List[str], fix: bool) -> Dict[str, Any]:
|
|
"""Run pycodestyle linter"""
|
|
cmd = ["pycodestyle"] + file_paths
|
|
|
|
result = subprocess.run(cmd, capture_output=True, text=True, timeout=60)
|
|
|
|
issues = []
|
|
fixed_count = 0
|
|
|
|
if result.stdout:
|
|
for line in result.stdout.strip().split('\n'):
|
|
if line:
|
|
# Format: filename:line:col: code message
|
|
parts = line.split(':', 3)
|
|
if len(parts) >= 4:
|
|
issues.append({
|
|
"file": parts[0],
|
|
"line": int(parts[1]),
|
|
"column": int(parts[2]),
|
|
"code": parts[3].split()[0],
|
|
"message": parts[3].split(' ', 1)[1] if ' ' in parts[3] else parts[3],
|
|
"severity": "warning"
|
|
})
|
|
|
|
# Try autopep8 for fixing if requested
|
|
if fix and self._is_command_available("autopep8"):
|
|
for file_path in file_paths:
|
|
fix_cmd = ["autopep8", "--in-place", file_path]
|
|
fix_result = subprocess.run(fix_cmd, capture_output=True, timeout=30)
|
|
if fix_result.returncode == 0:
|
|
fixed_count += 1
|
|
|
|
return {
|
|
"linter": "pycodestyle",
|
|
"status": "completed",
|
|
"exit_code": result.returncode,
|
|
"issues": issues,
|
|
"can_fix": True,
|
|
"fixed_count": fixed_count
|
|
}
|
|
|
|
async def _run_eslint(self, file_paths: List[str], fix: bool) -> Dict[str, Any]:
|
|
"""Run ESLint linter"""
|
|
cmd = ["eslint", "--format=json"]
|
|
if fix:
|
|
cmd.append("--fix")
|
|
cmd.extend(file_paths)
|
|
|
|
result = subprocess.run(cmd, capture_output=True, text=True, timeout=60)
|
|
|
|
issues = []
|
|
fixed_count = 0
|
|
|
|
if result.stdout:
|
|
try:
|
|
eslint_output = json.loads(result.stdout)
|
|
for file_result in eslint_output:
|
|
fixed_count += file_result.get("fixableErrorCount", 0) + file_result.get("fixableWarningCount", 0)
|
|
|
|
for message in file_result.get("messages", []):
|
|
issues.append({
|
|
"file": file_result.get("filePath", ""),
|
|
"line": message.get("line", 0),
|
|
"column": message.get("column", 0),
|
|
"code": message.get("ruleId", ""),
|
|
"message": message.get("message", ""),
|
|
"severity": message.get("severity", 1) == 2 and "error" or "warning"
|
|
})
|
|
except json.JSONDecodeError:
|
|
issues = [{"message": "Failed to parse ESLint output", "severity": "error"}]
|
|
|
|
return {
|
|
"linter": "eslint",
|
|
"status": "completed",
|
|
"exit_code": result.returncode,
|
|
"issues": issues,
|
|
"can_fix": True,
|
|
"fixed_count": fixed_count if fix else 0
|
|
}
|
|
|
|
async def _run_jsonlint(self, file_paths: List[str]) -> Dict[str, Any]:
|
|
"""Run JSON linter"""
|
|
issues = []
|
|
|
|
for file_path in file_paths:
|
|
try:
|
|
with open(file_path, 'r') as f:
|
|
json.load(f)
|
|
except json.JSONDecodeError as e:
|
|
issues.append({
|
|
"file": file_path,
|
|
"line": e.lineno,
|
|
"column": e.colno,
|
|
"message": str(e),
|
|
"severity": "error"
|
|
})
|
|
except Exception as e:
|
|
issues.append({
|
|
"file": file_path,
|
|
"message": f"Failed to read file: {str(e)}",
|
|
"severity": "error"
|
|
})
|
|
|
|
return {
|
|
"linter": "jsonlint",
|
|
"status": "completed",
|
|
"exit_code": 0 if not issues else 1,
|
|
"issues": issues,
|
|
"can_fix": False
|
|
}
|
|
|
|
async def _run_yamllint(self, file_paths: List[str]) -> Dict[str, Any]:
|
|
"""Run YAML linter"""
|
|
cmd = ["yamllint", "--format=parsable"] + file_paths
|
|
|
|
result = subprocess.run(cmd, capture_output=True, text=True, timeout=30)
|
|
|
|
issues = []
|
|
if result.stdout:
|
|
for line in result.stdout.strip().split('\n'):
|
|
if line and ':' in line:
|
|
# Format: filename:line:col: [level] message
|
|
parts = line.split(':', 3)
|
|
if len(parts) >= 4:
|
|
level_msg = parts[3].strip()
|
|
level = "warning"
|
|
if "[error]" in level_msg:
|
|
level = "error"
|
|
|
|
issues.append({
|
|
"file": parts[0],
|
|
"line": int(parts[1]) if parts[1].isdigit() else 0,
|
|
"column": int(parts[2]) if parts[2].isdigit() else 0,
|
|
"message": level_msg.replace("[error]", "").replace("[warning]", "").strip(),
|
|
"severity": level
|
|
})
|
|
|
|
return {
|
|
"linter": "yamllint",
|
|
"status": "completed",
|
|
"exit_code": result.returncode,
|
|
"issues": issues,
|
|
"can_fix": False
|
|
}
|
|
|
|
async def _run_markdownlint(self, file_paths: List[str]) -> Dict[str, Any]:
|
|
"""Run Markdown linter"""
|
|
cmd = ["markdownlint"] + file_paths
|
|
|
|
result = subprocess.run(cmd, capture_output=True, text=True, timeout=30)
|
|
|
|
issues = []
|
|
if result.stdout:
|
|
for line in result.stdout.strip().split('\n'):
|
|
if line and ':' in line:
|
|
# Format: filename:line message
|
|
parts = line.split(':', 2)
|
|
if len(parts) >= 3:
|
|
issues.append({
|
|
"file": parts[0],
|
|
"line": int(parts[1]) if parts[1].isdigit() else 0,
|
|
"message": parts[2].strip(),
|
|
"severity": "warning"
|
|
})
|
|
|
|
return {
|
|
"linter": "markdownlint",
|
|
"status": "completed",
|
|
"exit_code": result.returncode,
|
|
"issues": issues,
|
|
"can_fix": False
|
|
}
|
|
|
|
def _generate_lint_recommendations(self, results: Dict[str, Any]) -> List[str]:
|
|
"""Generate actionable recommendations based on lint results"""
|
|
recommendations = []
|
|
summary = results["summary"]
|
|
|
|
if summary["total_issues"] == 0:
|
|
recommendations.append("✅ No linting issues found! Code quality looks excellent.")
|
|
return recommendations
|
|
|
|
if summary["errors"] > 0:
|
|
recommendations.append(f"🚨 Fix {summary['errors']} critical errors before deployment")
|
|
|
|
if summary["warnings"] > 10:
|
|
recommendations.append(f"⚠️ Consider addressing {summary['warnings']} warnings for better code quality")
|
|
elif summary["warnings"] > 0:
|
|
recommendations.append(f"Address {summary['warnings']} minor warnings when convenient")
|
|
|
|
if summary["fixed_issues"] > 0:
|
|
recommendations.append(f"✅ Auto-fixed {summary['fixed_issues']} issues")
|
|
|
|
# Suggest auto-fixing if available
|
|
can_fix_tools = []
|
|
for result_key, result in results["lint_results"].items():
|
|
if result.get("can_fix") and result.get("issues"):
|
|
tool = result.get("linter", result_key)
|
|
can_fix_tools.append(tool)
|
|
|
|
if can_fix_tools and not results["fix_mode"]:
|
|
recommendations.append(f"💡 Run with fix=True to auto-fix issues using: {', '.join(set(can_fix_tools))}")
|
|
|
|
return recommendations
|
|
|
|
@mcp_tool(name="format_code", description="🟡 SAFE: Auto-format code using standard formatters")
|
|
async def format_code(
|
|
self,
|
|
file_paths: List[str],
|
|
formatter: Optional[
|
|
Literal["prettier", "black", "autopep8", "auto-detect"]
|
|
] = "auto-detect",
|
|
config_file: Optional[str] = None,
|
|
ctx: Context = None,
|
|
) -> Dict[str, Any]:
|
|
"""Format code files using appropriate formatters"""
|
|
try:
|
|
if not file_paths:
|
|
return {"error": "No file paths provided"}
|
|
|
|
# Validate all file paths exist
|
|
valid_files = []
|
|
for file_path in file_paths:
|
|
path_obj = Path(file_path)
|
|
if path_obj.exists() and path_obj.is_file():
|
|
valid_files.append(path_obj)
|
|
else:
|
|
if ctx:
|
|
await ctx.warning(f"File not found: {file_path}")
|
|
|
|
if not valid_files:
|
|
return {"error": "No valid files found to format"}
|
|
|
|
# Group files by type for appropriate formatter selection
|
|
file_groups = self._group_files_for_formatting(valid_files)
|
|
|
|
results = {
|
|
"total_files": len(valid_files),
|
|
"file_groups": {k: len(v) for k, v in file_groups.items()},
|
|
"formatter_mode": formatter,
|
|
"config_file": config_file,
|
|
"format_results": {},
|
|
"summary": {
|
|
"formatted_files": 0,
|
|
"unchanged_files": 0,
|
|
"failed_files": 0,
|
|
"total_changes": 0
|
|
}
|
|
}
|
|
|
|
# Format each file group with appropriate formatter
|
|
for file_type, files in file_groups.items():
|
|
if not files:
|
|
continue
|
|
|
|
# Determine formatter for this file type
|
|
selected_formatter = self._select_formatter_for_type(file_type, formatter)
|
|
|
|
if not selected_formatter:
|
|
results["format_results"][file_type] = {
|
|
"status": "skipped",
|
|
"reason": f"No suitable formatter available for {file_type} files"
|
|
}
|
|
continue
|
|
|
|
# Check if formatter is available
|
|
if not self._is_command_available(selected_formatter):
|
|
results["format_results"][file_type] = {
|
|
"status": "skipped",
|
|
"reason": f"Formatter '{selected_formatter}' not installed",
|
|
"suggestion": self._get_install_suggestion(selected_formatter)
|
|
}
|
|
continue
|
|
|
|
# Run the formatter
|
|
try:
|
|
format_result = await self._run_formatter(selected_formatter, files, config_file, ctx)
|
|
results["format_results"][file_type] = format_result
|
|
|
|
# Update summary
|
|
if "files_changed" in format_result:
|
|
results["summary"]["formatted_files"] += format_result["files_changed"]
|
|
results["summary"]["unchanged_files"] += format_result.get("files_unchanged", 0)
|
|
results["summary"]["total_changes"] += format_result.get("total_changes", 0)
|
|
|
|
except Exception as e:
|
|
results["format_results"][file_type] = {
|
|
"status": "failed",
|
|
"formatter": selected_formatter,
|
|
"error": str(e)
|
|
}
|
|
results["summary"]["failed_files"] += len(files)
|
|
|
|
# Generate recommendations
|
|
results["recommendations"] = self._generate_format_recommendations(results)
|
|
|
|
if ctx:
|
|
formatted = results["summary"]["formatted_files"]
|
|
total = results["summary"]["formatted_files"] + results["summary"]["unchanged_files"]
|
|
status_emoji = "✅" if results["summary"]["failed_files"] == 0 else "⚠️"
|
|
await ctx.info(f"{status_emoji} Formatting complete: {formatted}/{total} files changed")
|
|
|
|
return results
|
|
|
|
except Exception as e:
|
|
error_msg = f"Code formatting failed: {str(e)}"
|
|
if ctx:
|
|
await self.log_critical(error_msg, exception=e, ctx=ctx)
|
|
return {"error": error_msg}
|
|
|
|
def _group_files_for_formatting(self, files: List[Path]) -> Dict[str, List[Path]]:
|
|
"""Group files by type for formatting"""
|
|
groups = {
|
|
"python": [],
|
|
"javascript": [],
|
|
"typescript": [],
|
|
"json": [],
|
|
"yaml": [],
|
|
"css": [],
|
|
"html": [],
|
|
"markdown": [],
|
|
"other": []
|
|
}
|
|
|
|
for file_path in files:
|
|
suffix = file_path.suffix.lower()
|
|
|
|
if suffix in ['.py', '.pyx', '.pyi']:
|
|
groups["python"].append(file_path)
|
|
elif suffix in ['.js', '.jsx', '.mjs']:
|
|
groups["javascript"].append(file_path)
|
|
elif suffix in ['.ts', '.tsx']:
|
|
groups["typescript"].append(file_path)
|
|
elif suffix in ['.json']:
|
|
groups["json"].append(file_path)
|
|
elif suffix in ['.yaml', '.yml']:
|
|
groups["yaml"].append(file_path)
|
|
elif suffix in ['.css', '.scss', '.sass', '.less']:
|
|
groups["css"].append(file_path)
|
|
elif suffix in ['.html', '.htm', '.xhtml']:
|
|
groups["html"].append(file_path)
|
|
elif suffix in ['.md', '.markdown']:
|
|
groups["markdown"].append(file_path)
|
|
else:
|
|
groups["other"].append(file_path)
|
|
|
|
return {k: v for k, v in groups.items() if v} # Remove empty groups
|
|
|
|
def _select_formatter_for_type(self, file_type: str, requested_formatter: str) -> Optional[str]:
|
|
"""Select appropriate formatter for file type"""
|
|
if requested_formatter != "auto-detect":
|
|
# Check if requested formatter is appropriate for file type
|
|
type_formatters = {
|
|
"python": ["black", "autopep8"],
|
|
"javascript": ["prettier"],
|
|
"typescript": ["prettier"],
|
|
"json": ["prettier"],
|
|
"yaml": ["prettier"],
|
|
"css": ["prettier"],
|
|
"html": ["prettier"],
|
|
"markdown": ["prettier"]
|
|
}
|
|
|
|
if file_type in type_formatters and requested_formatter in type_formatters[file_type]:
|
|
return requested_formatter
|
|
else:
|
|
return None # Requested formatter not suitable for this file type
|
|
|
|
# Auto-detect best formatter for file type
|
|
formatter_priority = {
|
|
"python": ["black", "autopep8"],
|
|
"javascript": ["prettier"],
|
|
"typescript": ["prettier"],
|
|
"json": ["prettier"],
|
|
"yaml": ["prettier"],
|
|
"css": ["prettier"],
|
|
"html": ["prettier"],
|
|
"markdown": ["prettier"]
|
|
}
|
|
|
|
candidates = formatter_priority.get(file_type, [])
|
|
for formatter in candidates:
|
|
if self._is_command_available(formatter):
|
|
return formatter
|
|
|
|
return None
|
|
|
|
def _get_install_suggestion(self, formatter: str) -> str:
|
|
"""Get installation suggestion for formatter"""
|
|
suggestions = {
|
|
"black": "pip install black",
|
|
"autopep8": "pip install autopep8",
|
|
"prettier": "npm install -g prettier"
|
|
}
|
|
return suggestions.get(formatter, f"Install {formatter}")
|
|
|
|
async def _run_formatter(self, formatter: str, files: List[Path], config_file: Optional[str], ctx: Context) -> Dict[str, Any]:
|
|
"""Run a specific formatter on files"""
|
|
file_paths = [str(f) for f in files]
|
|
|
|
try:
|
|
if formatter == "black":
|
|
return await self._run_black(file_paths, config_file)
|
|
elif formatter == "autopep8":
|
|
return await self._run_autopep8(file_paths, config_file)
|
|
elif formatter == "prettier":
|
|
return await self._run_prettier(file_paths, config_file)
|
|
else:
|
|
return {"status": "unsupported", "formatter": formatter}
|
|
|
|
except Exception as e:
|
|
return {"status": "error", "formatter": formatter, "error": str(e)}
|
|
|
|
async def _run_black(self, file_paths: List[str], config_file: Optional[str]) -> Dict[str, Any]:
|
|
"""Run Black Python formatter"""
|
|
cmd = ["black", "--diff", "--color"]
|
|
|
|
if config_file:
|
|
cmd.extend(["--config", config_file])
|
|
|
|
# First run with --diff to see what would change
|
|
diff_cmd = cmd + file_paths
|
|
diff_result = subprocess.run(diff_cmd, capture_output=True, text=True, timeout=60)
|
|
|
|
# Count changes by counting diff sections
|
|
changes = diff_result.stdout.count("--- ") if diff_result.stdout else 0
|
|
|
|
# Run actual formatting
|
|
format_cmd = ["black"] + (["--config", config_file] if config_file else []) + file_paths
|
|
format_result = subprocess.run(format_cmd, capture_output=True, text=True, timeout=60)
|
|
|
|
# Count files that were actually changed
|
|
files_changed = 0
|
|
if format_result.stderr:
|
|
files_changed = format_result.stderr.count("reformatted")
|
|
|
|
return {
|
|
"formatter": "black",
|
|
"status": "completed",
|
|
"exit_code": format_result.returncode,
|
|
"files_changed": files_changed,
|
|
"files_unchanged": len(file_paths) - files_changed,
|
|
"total_changes": changes,
|
|
"diff_preview": diff_result.stdout[:1000] if diff_result.stdout else None # First 1000 chars
|
|
}
|
|
|
|
async def _run_autopep8(self, file_paths: List[str], config_file: Optional[str]) -> Dict[str, Any]:
|
|
"""Run autopep8 Python formatter"""
|
|
cmd = ["autopep8", "--in-place", "--aggressive", "--aggressive"]
|
|
|
|
if config_file:
|
|
cmd.extend(["--global-config", config_file])
|
|
|
|
# Run diff first to see changes
|
|
diff_cmd = ["autopep8", "--diff"] + file_paths
|
|
diff_result = subprocess.run(diff_cmd, capture_output=True, text=True, timeout=60)
|
|
changes = diff_result.stdout.count("@@") if diff_result.stdout else 0
|
|
|
|
# Run actual formatting
|
|
format_cmd = cmd + file_paths
|
|
format_result = subprocess.run(format_cmd, capture_output=True, text=True, timeout=60)
|
|
|
|
return {
|
|
"formatter": "autopep8",
|
|
"status": "completed",
|
|
"exit_code": format_result.returncode,
|
|
"files_changed": len(file_paths) if format_result.returncode == 0 else 0,
|
|
"files_unchanged": 0 if format_result.returncode == 0 else len(file_paths),
|
|
"total_changes": changes,
|
|
"diff_preview": diff_result.stdout[:1000] if diff_result.stdout else None
|
|
}
|
|
|
|
async def _run_prettier(self, file_paths: List[str], config_file: Optional[str]) -> Dict[str, Any]:
|
|
"""Run Prettier formatter"""
|
|
cmd = ["prettier", "--write"]
|
|
|
|
if config_file:
|
|
cmd.extend(["--config", config_file])
|
|
|
|
# Check what files would be changed
|
|
check_cmd = ["prettier", "--list-different"] + file_paths
|
|
check_result = subprocess.run(check_cmd, capture_output=True, text=True, timeout=60)
|
|
|
|
files_to_change = len(check_result.stdout.strip().split('\n')) if check_result.stdout.strip() else 0
|
|
|
|
# Run actual formatting
|
|
format_cmd = cmd + file_paths
|
|
format_result = subprocess.run(format_cmd, capture_output=True, text=True, timeout=60)
|
|
|
|
return {
|
|
"formatter": "prettier",
|
|
"status": "completed",
|
|
"exit_code": format_result.returncode,
|
|
"files_changed": files_to_change if format_result.returncode == 0 else 0,
|
|
"files_unchanged": len(file_paths) - files_to_change,
|
|
"total_changes": files_to_change,
|
|
"changed_files": check_result.stdout.strip().split('\n') if check_result.stdout.strip() else []
|
|
}
|
|
|
|
def _generate_format_recommendations(self, results: Dict[str, Any]) -> List[str]:
|
|
"""Generate actionable recommendations based on format results"""
|
|
recommendations = []
|
|
summary = results["summary"]
|
|
|
|
if summary["formatted_files"] == 0 and summary["failed_files"] == 0:
|
|
recommendations.append("✅ All files are already properly formatted!")
|
|
return recommendations
|
|
|
|
if summary["formatted_files"] > 0:
|
|
recommendations.append(f"✅ Successfully formatted {summary['formatted_files']} files")
|
|
|
|
if summary["failed_files"] > 0:
|
|
recommendations.append(f"⚠️ Failed to format {summary['failed_files']} files - check error details")
|
|
|
|
# Check for missing formatters
|
|
skipped_types = []
|
|
for file_type, result in results["format_results"].items():
|
|
if result.get("status") == "skipped" and "not installed" in result.get("reason", ""):
|
|
skipped_types.append((file_type, result.get("suggestion", "")))
|
|
|
|
if skipped_types:
|
|
recommendations.append("💡 Install missing formatters:")
|
|
for file_type, suggestion in skipped_types:
|
|
recommendations.append(f" - {suggestion} (for {file_type} files)")
|
|
|
|
if summary["total_changes"] > 50:
|
|
recommendations.append("📋 Many changes applied - review diff output carefully")
|
|
|
|
return recommendations
|
|
|
|
|
|
class NetworkAPITools(MCPMixin):
|
|
"""Network and API testing tools"""
|
|
|
|
@mcp_tool(name="http_request", description="🟡 SAFE: Make HTTP requests for API testing")
|
|
async def http_request(
|
|
self,
|
|
url: str,
|
|
method: Literal["GET", "POST", "PUT", "DELETE", "PATCH", "HEAD", "OPTIONS"],
|
|
headers: Optional[Dict[str, str]] = None,
|
|
body: Optional[Union[str, Dict[str, Any]]] = None,
|
|
timeout: Optional[int] = 30,
|
|
ctx: Context = None,
|
|
) -> Dict[str, Any]:
|
|
"""Make HTTP request and return detailed response information"""
|
|
try:
|
|
if requests is None:
|
|
return {
|
|
"error": "requests library not available",
|
|
"install": "pip install requests"
|
|
}
|
|
|
|
# Prepare headers
|
|
request_headers = headers or {}
|
|
|
|
# Prepare body based on type
|
|
request_data = None
|
|
request_json = None
|
|
|
|
if body is not None:
|
|
if isinstance(body, dict):
|
|
request_json = body
|
|
if 'Content-Type' not in request_headers:
|
|
request_headers['Content-Type'] = 'application/json'
|
|
else:
|
|
request_data = body
|
|
if 'Content-Type' not in request_headers:
|
|
request_headers['Content-Type'] = 'text/plain'
|
|
|
|
# Make the request
|
|
start_time = time.time()
|
|
|
|
response = requests.request(
|
|
method=method,
|
|
url=url,
|
|
headers=request_headers,
|
|
data=request_data,
|
|
json=request_json,
|
|
timeout=timeout,
|
|
allow_redirects=True
|
|
)
|
|
|
|
end_time = time.time()
|
|
response_time = round((end_time - start_time) * 1000, 2) # ms
|
|
|
|
# Parse response body safely
|
|
response_body = None
|
|
content_type = response.headers.get('Content-Type', '').lower()
|
|
|
|
try:
|
|
if 'application/json' in content_type:
|
|
response_body = response.json()
|
|
else:
|
|
response_body = response.text
|
|
# Truncate very long text responses
|
|
if len(response_body) > 5000:
|
|
response_body = response_body[:5000] + "... [truncated]"
|
|
except Exception:
|
|
response_body = f"<Unable to parse response: {len(response.content)} bytes>"
|
|
|
|
# Build response object
|
|
result = {
|
|
"request": {
|
|
"method": method,
|
|
"url": url,
|
|
"headers": request_headers,
|
|
"body": body
|
|
},
|
|
"response": {
|
|
"status_code": response.status_code,
|
|
"status_text": response.reason,
|
|
"headers": dict(response.headers),
|
|
"body": response_body,
|
|
"size_bytes": len(response.content),
|
|
"response_time_ms": response_time
|
|
},
|
|
"success": 200 <= response.status_code < 300,
|
|
"redirected": len(response.history) > 0,
|
|
"final_url": response.url
|
|
}
|
|
|
|
if ctx:
|
|
status_emoji = "✅" if result["success"] else "❌"
|
|
await ctx.info(f"{status_emoji} {method} {url} → {response.status_code} ({response_time}ms)")
|
|
|
|
return result
|
|
|
|
except requests.exceptions.Timeout:
|
|
error_msg = f"Request timeout after {timeout}s"
|
|
if ctx:
|
|
await ctx.error(error_msg)
|
|
return {"error": error_msg, "type": "timeout"}
|
|
|
|
except requests.exceptions.ConnectionError as e:
|
|
error_msg = f"Connection error: {str(e)}"
|
|
if ctx:
|
|
await ctx.error(error_msg)
|
|
return {"error": error_msg, "type": "connection_error"}
|
|
|
|
except requests.exceptions.RequestException as e:
|
|
error_msg = f"Request failed: {str(e)}"
|
|
if ctx:
|
|
await ctx.error(error_msg)
|
|
return {"error": error_msg, "type": "request_error"}
|
|
|
|
except Exception as e:
|
|
error_msg = f"HTTP request failed: {str(e)}"
|
|
if ctx:
|
|
await self.log_critical(error_msg, exception=e, ctx=ctx)
|
|
return {"error": error_msg, "type": "unexpected_error"}
|
|
|
|
@mcp_tool(name="api_mock_server", description="Start a simple mock API server")
|
|
def api_mock_server(
|
|
self, port: int, routes: List[Dict[str, Any]], cors: Optional[bool] = True
|
|
) -> Dict[str, Any]:
|
|
"""Start mock API server"""
|
|
raise NotImplementedError("api_mock_server not implemented")
|
|
|
|
|
|
class ProcessTracingTools(MCPMixin):
|
|
"""Process tracing and system call analysis tools"""
|
|
|
|
@mcp_tool(
|
|
name="trace_process", description="Trace system calls and signals for process debugging"
|
|
)
|
|
def trace_process(
|
|
self,
|
|
target: Union[int, str],
|
|
action: Literal["attach", "launch", "follow"],
|
|
duration: Optional[int] = 30,
|
|
output_format: Optional[Literal["summary", "detailed", "json", "timeline"]] = "summary",
|
|
filter_calls: Optional[List[Literal["file", "network", "process"]]] = None,
|
|
exclude_calls: Optional[List[str]] = None,
|
|
follow_children: Optional[bool] = False,
|
|
show_timestamps: Optional[bool] = True,
|
|
buffer_size: Optional[int] = 10,
|
|
filter_paths: Optional[List[str]] = None,
|
|
) -> Dict[str, Any]:
|
|
"""Trace process system calls (cross-platform strace equivalent)"""
|
|
raise NotImplementedError("trace_process not implemented")
|
|
|
|
@mcp_tool(name="analyze_syscalls", description="Analyze and summarize system call traces")
|
|
def analyze_syscalls(
|
|
self,
|
|
trace_data: str,
|
|
analysis_type: Literal["file_access", "network", "performance", "errors", "overview"],
|
|
group_by: Optional[Literal["call_type", "file_path", "process", "time_window"]] = None,
|
|
threshold_ms: Optional[float] = None,
|
|
) -> Dict[str, Any]:
|
|
"""Analyze system call traces with insights"""
|
|
raise NotImplementedError("analyze_syscalls not implemented")
|
|
|
|
@mcp_tool(
|
|
name="process_monitor", description="Real-time process monitoring with system call tracking"
|
|
)
|
|
def process_monitor(
|
|
self,
|
|
process_pattern: Union[str, int],
|
|
watch_events: List[Literal["file_access", "network", "registry", "process_creation"]],
|
|
duration: Optional[int] = 60,
|
|
alert_threshold: Optional[Dict[str, Any]] = None,
|
|
output_format: Optional[Literal["live", "summary", "alerts_only"]] = "summary",
|
|
) -> Dict[str, Any]:
|
|
"""Monitor process activity in real-time"""
|
|
raise NotImplementedError("process_monitor not implemented")
|
|
|
|
|
|
class EnvironmentProcessManagement(MCPMixin):
|
|
"""Environment and process management tools"""
|
|
|
|
@mcp_tool(
|
|
name="environment_info", description="Get comprehensive system and environment information"
|
|
)
|
|
def environment_info(
|
|
self, include_sections: List[Literal["system", "python", "node", "git", "env_vars"]]
|
|
) -> Dict[str, Any]:
|
|
"""Get detailed environment information"""
|
|
raise NotImplementedError("environment_info not implemented")
|
|
|
|
@mcp_tool(name="process_tree", description="Show process hierarchy and relationships")
|
|
def process_tree(
|
|
self, root_pid: Optional[int] = None, include_children: Optional[bool] = True
|
|
) -> Dict[str, Any]:
|
|
"""Show process tree with resource usage"""
|
|
raise NotImplementedError("process_tree not implemented")
|
|
|
|
@mcp_tool(name="manage_virtual_env", description="Create and manage virtual environments")
|
|
def manage_virtual_env(
|
|
self,
|
|
action: Literal["create", "activate", "deactivate", "list", "remove"],
|
|
env_name: str,
|
|
python_version: Optional[str] = None,
|
|
) -> Dict[str, Any]:
|
|
"""Manage Python virtual environments"""
|
|
raise NotImplementedError("manage_virtual_env not implemented")
|
|
|
|
|
|
class EnhancedExistingTools(MCPMixin):
|
|
"""Enhanced versions of existing tools"""
|
|
|
|
@mcp_tool(
|
|
name="execute_command_enhanced",
|
|
description="Enhanced command execution with advanced features",
|
|
)
|
|
def execute_command_enhanced(
|
|
self,
|
|
command: Union[str, List[str]],
|
|
working_directory: Optional[str] = None,
|
|
environment_vars: Optional[Dict[str, str]] = None,
|
|
capture_output: Optional[Literal["all", "stdout", "stderr", "none"]] = "all",
|
|
stream_callback: Optional[Any] = None, # Callback function type
|
|
retry_count: Optional[int] = 0,
|
|
) -> Dict[str, Any]:
|
|
"""Execute command with enhanced features"""
|
|
raise NotImplementedError("execute_command_enhanced not implemented")
|
|
|
|
@mcp_tool(
|
|
name="search_code_enhanced",
|
|
description="Enhanced code search with semantic and AST support",
|
|
)
|
|
def search_code_enhanced(
|
|
self,
|
|
query: str,
|
|
directory: str,
|
|
search_type: Optional[Literal["text", "semantic", "ast", "cross-reference"]] = "text",
|
|
file_pattern: Optional[str] = None,
|
|
save_to_history: Optional[bool] = True,
|
|
) -> List[Dict[str, Any]]:
|
|
"""Enhanced code search with multiple search modes"""
|
|
raise NotImplementedError("search_code_enhanced not implemented")
|
|
|
|
@mcp_tool(
|
|
name="edit_block_enhanced", description="Enhanced block editing with multi-file support"
|
|
)
|
|
def edit_block_enhanced(
|
|
self,
|
|
edits: List[Dict[str, Any]],
|
|
rollback_support: Optional[bool] = True,
|
|
template_name: Optional[str] = None,
|
|
conflict_resolution: Optional[Literal["manual", "theirs", "ours", "auto"]] = "manual",
|
|
) -> Dict[str, Any]:
|
|
"""Enhanced edit operations with advanced features"""
|
|
raise NotImplementedError("edit_block_enhanced not implemented")
|
|
|
|
|
|
class UtilityTools(MCPMixin):
|
|
"""Utility and convenience tools"""
|
|
|
|
@mcp_tool(name="generate_documentation", description="Generate documentation from code")
|
|
def generate_documentation(
|
|
self,
|
|
source_directory: str,
|
|
output_format: Literal["markdown", "html", "pdf"],
|
|
include_private: Optional[bool] = False,
|
|
) -> str:
|
|
"""Generate documentation from source code"""
|
|
raise NotImplementedError("generate_documentation not implemented")
|
|
|
|
@mcp_tool(name="project_template", description="Generate project templates and boilerplate")
|
|
def project_template(
|
|
self,
|
|
template_type: Literal[
|
|
"python-package", "react-app", "node-api", "django-app", "fastapi", "cli-tool"
|
|
],
|
|
project_name: str,
|
|
options: Optional[Dict[str, Any]] = None,
|
|
) -> str:
|
|
"""Generate project from template"""
|
|
raise NotImplementedError("project_template not implemented")
|
|
|
|
@mcp_tool(name="dependency_check", description="🟡 SAFE: Analyze and update project dependencies")
|
|
async def dependency_check(
|
|
self,
|
|
project_path: str,
|
|
check_security: Optional[bool] = True,
|
|
suggest_updates: Optional[bool] = True,
|
|
ctx: Context = None,
|
|
) -> Dict[str, Any]:
|
|
"""Check dependencies for updates and vulnerabilities"""
|
|
try:
|
|
project_path_obj = Path(project_path)
|
|
if not project_path_obj.exists():
|
|
return {"error": f"Project path not found: {project_path}"}
|
|
|
|
results = {
|
|
"project_path": project_path,
|
|
"project_type": None,
|
|
"dependencies": {},
|
|
"updates_available": [],
|
|
"security_issues": [],
|
|
"recommendations": [],
|
|
"summary": {}
|
|
}
|
|
|
|
# Detect project type and dependency files
|
|
dependency_files = []
|
|
|
|
# Python projects
|
|
pyproject_toml = project_path_obj / "pyproject.toml"
|
|
requirements_txt = project_path_obj / "requirements.txt"
|
|
pipfile = project_path_obj / "Pipfile"
|
|
|
|
# Node.js projects
|
|
package_json = project_path_obj / "package.json"
|
|
|
|
if pyproject_toml.exists():
|
|
results["project_type"] = "python-pyproject"
|
|
dependency_files.append(("pyproject.toml", pyproject_toml))
|
|
elif requirements_txt.exists():
|
|
results["project_type"] = "python-requirements"
|
|
dependency_files.append(("requirements.txt", requirements_txt))
|
|
elif pipfile.exists():
|
|
results["project_type"] = "python-pipfile"
|
|
dependency_files.append(("Pipfile", pipfile))
|
|
elif package_json.exists():
|
|
results["project_type"] = "nodejs"
|
|
dependency_files.append(("package.json", package_json))
|
|
else:
|
|
return {"error": "No supported dependency files found (pyproject.toml, requirements.txt, package.json)"}
|
|
|
|
# Parse dependency files
|
|
for file_type, file_path in dependency_files:
|
|
try:
|
|
if file_type == "pyproject.toml":
|
|
deps = self._parse_pyproject_toml(file_path)
|
|
elif file_type == "requirements.txt":
|
|
deps = self._parse_requirements_txt(file_path)
|
|
elif file_type == "package.json":
|
|
deps = self._parse_package_json(file_path)
|
|
elif file_type == "Pipfile":
|
|
deps = self._parse_pipfile(file_path)
|
|
else:
|
|
deps = {}
|
|
|
|
results["dependencies"][file_type] = deps
|
|
|
|
except Exception as e:
|
|
results["dependencies"][file_type] = {"error": f"Failed to parse: {str(e)}"}
|
|
|
|
# Check for updates if requested
|
|
if suggest_updates and results["project_type"]:
|
|
if results["project_type"].startswith("python"):
|
|
updates = await self._check_python_updates(project_path_obj, ctx)
|
|
results["updates_available"] = updates
|
|
elif results["project_type"] == "nodejs":
|
|
updates = await self._check_nodejs_updates(project_path_obj, ctx)
|
|
results["updates_available"] = updates
|
|
|
|
# Basic security checks
|
|
if check_security:
|
|
security_issues = await self._check_security_issues(project_path_obj, results["project_type"], ctx)
|
|
results["security_issues"] = security_issues
|
|
|
|
# Generate recommendations
|
|
results["recommendations"] = self._generate_recommendations(results)
|
|
|
|
# Create summary
|
|
total_deps = sum(len(deps) if isinstance(deps, dict) and "error" not in deps else 0
|
|
for deps in results["dependencies"].values())
|
|
|
|
results["summary"] = {
|
|
"total_dependencies": total_deps,
|
|
"updates_available": len(results["updates_available"]),
|
|
"security_issues": len(results["security_issues"]),
|
|
"project_type": results["project_type"]
|
|
}
|
|
|
|
if ctx:
|
|
await ctx.info(f"Dependency check complete: {total_deps} deps, {len(results['updates_available'])} updates, {len(results['security_issues'])} security issues")
|
|
|
|
return results
|
|
|
|
except Exception as e:
|
|
error_msg = f"Dependency check failed: {str(e)}"
|
|
if ctx:
|
|
await self.log_critical(error_msg, exception=e, ctx=ctx)
|
|
return {"error": error_msg}
|
|
|
|
def _parse_pyproject_toml(self, file_path: Path) -> Dict[str, str]:
|
|
"""Parse pyproject.toml for dependencies"""
|
|
try:
|
|
import tomllib
|
|
except ImportError:
|
|
try:
|
|
import tomli as tomllib
|
|
except ImportError:
|
|
return {"error": "tomllib/tomli not available for parsing pyproject.toml"}
|
|
|
|
try:
|
|
with open(file_path, 'rb') as f:
|
|
data = tomllib.load(f)
|
|
|
|
deps = {}
|
|
|
|
# Get dependencies from different sections
|
|
if 'project' in data and 'dependencies' in data['project']:
|
|
for dep in data['project']['dependencies']:
|
|
name = dep.split('>=')[0].split('==')[0].split('~=')[0].split('>')[0].split('<')[0].strip()
|
|
deps[name] = dep
|
|
|
|
if 'tool' in data and 'poetry' in data['tool'] and 'dependencies' in data['tool']['poetry']:
|
|
poetry_deps = data['tool']['poetry']['dependencies']
|
|
for name, version in poetry_deps.items():
|
|
if name != 'python':
|
|
deps[name] = str(version) if not isinstance(version, dict) else version.get('version', 'latest')
|
|
|
|
return deps
|
|
|
|
except Exception as e:
|
|
return {"error": f"Failed to parse pyproject.toml: {str(e)}"}
|
|
|
|
def _parse_requirements_txt(self, file_path: Path) -> Dict[str, str]:
|
|
"""Parse requirements.txt for dependencies"""
|
|
try:
|
|
deps = {}
|
|
with open(file_path, 'r') as f:
|
|
for line in f:
|
|
line = line.strip()
|
|
if line and not line.startswith('#'):
|
|
name = line.split('>=')[0].split('==')[0].split('~=')[0].split('>')[0].split('<')[0].strip()
|
|
deps[name] = line
|
|
return deps
|
|
except Exception as e:
|
|
return {"error": f"Failed to parse requirements.txt: {str(e)}"}
|
|
|
|
def _parse_package_json(self, file_path: Path) -> Dict[str, str]:
|
|
"""Parse package.json for dependencies"""
|
|
try:
|
|
with open(file_path, 'r') as f:
|
|
data = json.load(f)
|
|
|
|
deps = {}
|
|
if 'dependencies' in data:
|
|
deps.update(data['dependencies'])
|
|
if 'devDependencies' in data:
|
|
deps.update(data['devDependencies'])
|
|
|
|
return deps
|
|
except Exception as e:
|
|
return {"error": f"Failed to parse package.json: {str(e)}"}
|
|
|
|
def _parse_pipfile(self, file_path: Path) -> Dict[str, str]:
|
|
"""Parse Pipfile for dependencies"""
|
|
try:
|
|
# Simple parsing for Pipfile - would need toml parser for full support
|
|
deps = {}
|
|
with open(file_path, 'r') as f:
|
|
content = f.read()
|
|
# Basic extraction - this is simplified
|
|
if '[packages]' in content:
|
|
lines = content.split('[packages]')[1].split('[')[0].strip().split('\n')
|
|
for line in lines:
|
|
if '=' in line and line.strip():
|
|
name, version = line.split('=', 1)
|
|
deps[name.strip()] = version.strip().strip('"')
|
|
return deps
|
|
except Exception as e:
|
|
return {"error": f"Failed to parse Pipfile: {str(e)}"}
|
|
|
|
async def _check_python_updates(self, project_path: Path, ctx: Context) -> List[Dict[str, Any]]:
|
|
"""Check for Python package updates using pip"""
|
|
try:
|
|
result = subprocess.run(
|
|
["python", "-m", "pip", "list", "--outdated", "--format=json"],
|
|
cwd=project_path,
|
|
capture_output=True,
|
|
text=True,
|
|
timeout=60
|
|
)
|
|
|
|
if result.returncode == 0:
|
|
try:
|
|
outdated = json.loads(result.stdout)
|
|
return [
|
|
{
|
|
"package": pkg["name"],
|
|
"current_version": pkg["version"],
|
|
"latest_version": pkg["latest_version"],
|
|
"type": pkg.get("latest_filetype", "wheel")
|
|
}
|
|
for pkg in outdated
|
|
]
|
|
except json.JSONDecodeError:
|
|
return []
|
|
return []
|
|
except Exception:
|
|
return []
|
|
|
|
async def _check_nodejs_updates(self, project_path: Path, ctx: Context) -> List[Dict[str, Any]]:
|
|
"""Check for Node.js package updates using npm"""
|
|
try:
|
|
result = subprocess.run(
|
|
["npm", "outdated", "--json"],
|
|
cwd=project_path,
|
|
capture_output=True,
|
|
text=True,
|
|
timeout=60
|
|
)
|
|
|
|
# npm outdated returns exit code 1 when there are outdated packages
|
|
if result.stdout:
|
|
try:
|
|
outdated = json.loads(result.stdout)
|
|
return [
|
|
{
|
|
"package": name,
|
|
"current_version": info.get("current"),
|
|
"latest_version": info.get("latest"),
|
|
"wanted_version": info.get("wanted")
|
|
}
|
|
for name, info in outdated.items()
|
|
]
|
|
except json.JSONDecodeError:
|
|
return []
|
|
return []
|
|
except Exception:
|
|
return []
|
|
|
|
async def _check_security_issues(self, project_path: Path, project_type: str, ctx: Context) -> List[Dict[str, Any]]:
|
|
"""Check for known security vulnerabilities"""
|
|
issues = []
|
|
|
|
try:
|
|
if project_type.startswith("python"):
|
|
# Try to use pip-audit if available
|
|
result = subprocess.run(
|
|
["python", "-m", "pip", "install", "pip-audit"],
|
|
cwd=project_path,
|
|
capture_output=True,
|
|
timeout=30
|
|
)
|
|
|
|
if result.returncode == 0:
|
|
audit_result = subprocess.run(
|
|
["python", "-m", "pip-audit", "--format=json"],
|
|
cwd=project_path,
|
|
capture_output=True,
|
|
text=True,
|
|
timeout=60
|
|
)
|
|
|
|
if audit_result.returncode == 0:
|
|
try:
|
|
audit_data = json.loads(audit_result.stdout)
|
|
if audit_data:
|
|
issues.extend(audit_data)
|
|
except json.JSONDecodeError:
|
|
pass
|
|
|
|
elif project_type == "nodejs":
|
|
# Try npm audit
|
|
audit_result = subprocess.run(
|
|
["npm", "audit", "--json"],
|
|
cwd=project_path,
|
|
capture_output=True,
|
|
text=True,
|
|
timeout=60
|
|
)
|
|
|
|
if audit_result.stdout:
|
|
try:
|
|
audit_data = json.loads(audit_result.stdout)
|
|
if "vulnerabilities" in audit_data:
|
|
for vuln_name, vuln_info in audit_data["vulnerabilities"].items():
|
|
issues.append({
|
|
"package": vuln_name,
|
|
"severity": vuln_info.get("severity", "unknown"),
|
|
"description": vuln_info.get("via", [{}])[0].get("title", "Unknown vulnerability")
|
|
})
|
|
except json.JSONDecodeError:
|
|
pass
|
|
|
|
except Exception:
|
|
pass
|
|
|
|
return issues
|
|
|
|
def _generate_recommendations(self, results: Dict[str, Any]) -> List[str]:
|
|
"""Generate actionable recommendations"""
|
|
recommendations = []
|
|
|
|
if results["updates_available"]:
|
|
recommendations.append(f"Update {len(results['updates_available'])} outdated packages")
|
|
|
|
if results["security_issues"]:
|
|
critical_issues = [issue for issue in results["security_issues"]
|
|
if issue.get("severity") in ["critical", "high"]]
|
|
if critical_issues:
|
|
recommendations.append(f"🚨 Address {len(critical_issues)} critical/high security vulnerabilities immediately")
|
|
else:
|
|
recommendations.append(f"Review {len(results['security_issues'])} security issues")
|
|
|
|
project_type = results.get("project_type")
|
|
if project_type == "python-requirements":
|
|
recommendations.append("Consider migrating to pyproject.toml for better dependency management")
|
|
elif project_type == "nodejs":
|
|
recommendations.append("Run 'npm update' to install available updates")
|
|
elif project_type and project_type.startswith("python"):
|
|
recommendations.append("Run 'pip install --upgrade' for packages that need updates")
|
|
|
|
if not results["updates_available"] and not results["security_issues"]:
|
|
recommendations.append("✅ All dependencies are up to date and secure")
|
|
|
|
return recommendations
|