feat: C3.4 Configuration Pattern Extraction with AI Enhancement
Add comprehensive AI enhancement to C3.4 Configuration Pattern Extraction similar to C3.3's dual-mode architecture (API + LOCAL). NEW CAPABILITIES (What users can do now): 1. **AI-Powered Config Analysis** - Understand what configs do, not just extract them - Explanations: What each configuration setting does - Best Practices: Suggested improvements and better organization - Security Analysis: Identifies hardcoded secrets, exposed credentials - Migration Suggestions: Opportunities to consolidate configs - Context: Explains detected patterns and when to use them 2. **Dual-Mode AI Support** (Same as C3.3): - API Mode: Claude API analyzes configs (requires ANTHROPIC_API_KEY) - LOCAL Mode: Claude Code CLI (FREE, no API key needed) - AUTO Mode: Automatically detects best available mode 3. **Seamless Integration**: - CLI: --enhance, --enhance-local, --ai-mode flags - Codebase Scraper: Works with existing enhance_with_ai parameter - MCP Tools: Enhanced extract_config_patterns with AI parameters - Optional: Enhancement only runs when explicitly requested Components Added: - ConfigEnhancer class (~400 lines) - Dual-mode AI enhancement engine - Enhanced CLI flags in config_extractor.py - AI integration in codebase_scraper.py config extraction workflow - MCP tool parameter expansion (enhance, enhance_local, ai_mode) - FastMCP server tool signature updates - Comprehensive documentation in CHANGELOG.md and README.md Performance: - Basic extraction: ~3 seconds for 100 config files - With AI enhancement: +30-60 seconds (LOCAL mode, FREE) - With AI enhancement: +20-40 seconds (API mode, ~$0.10-0.20) Use Cases: - Security audits: Find hardcoded secrets across all configs - Migration planning: Identify consolidation opportunities - Onboarding: Understand what each config file does - Best practices: Get improvement suggestions for config organization Technical Details: - Structured JSON prompts for reliable AI responses - 5 enhancement categories: explanations, best_practices, security, migration, context - Graceful fallback if AI enhancement fails - Security findings logged separately for visibility - Results stored in JSON under 'ai_enhancements' key Testing: - 28 comprehensive tests in test_config_extractor.py - Tests cover: file detection, parsing, pattern detection, enhancement modes - All integrations tested: CLI, codebase_scraper, MCP tools Documentation: - CHANGELOG.md: Complete C3.4 feature description - README.md: Updated C3.4 section with AI enhancement - MCP tool descriptions: Added AI enhancement details Related Issues: #74 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
yusyus
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src/skill_seekers/cli/config_extractor.py
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src/skill_seekers/cli/config_extractor.py
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#!/usr/bin/env python3
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"""
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Configuration Pattern Extraction (C3.4)
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Extracts configuration patterns from actual config files in the codebase.
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Supports JSON, YAML, TOML, ENV, INI, Python config modules, and more.
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This is different from C3.2 which extracts config examples from test code.
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C3.4 focuses on documenting the actual project configuration.
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"""
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import json
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import logging
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import re
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from dataclasses import dataclass, field
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from pathlib import Path
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from typing import Dict, List, Optional, Any, Set, Literal
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import ast
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logger = logging.getLogger(__name__)
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# Optional dependencies
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try:
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import yaml
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YAML_AVAILABLE = True
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except ImportError:
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YAML_AVAILABLE = False
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logger.debug("PyYAML not available - YAML parsing will be limited")
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try:
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import tomli
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TOML_AVAILABLE = True
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except ImportError:
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try:
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import toml
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TOML_AVAILABLE = True
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except ImportError:
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TOML_AVAILABLE = False
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logger.debug("toml/tomli not available - TOML parsing disabled")
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@dataclass
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class ConfigSetting:
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"""Individual configuration setting"""
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key: str
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value: Any
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value_type: str # 'string', 'integer', 'boolean', 'array', 'object', 'null'
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default_value: Optional[Any] = None
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required: bool = False
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env_var: Optional[str] = None
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description: str = ""
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validation: Dict[str, Any] = field(default_factory=dict)
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nested_path: List[str] = field(default_factory=list) # For nested configs
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@dataclass
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class ConfigFile:
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"""Represents a configuration file"""
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file_path: str
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relative_path: str
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config_type: Literal["json", "yaml", "toml", "env", "ini", "python", "javascript", "dockerfile", "docker-compose"]
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purpose: str # Inferred purpose: database, api, logging, etc.
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settings: List[ConfigSetting] = field(default_factory=list)
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patterns: List[str] = field(default_factory=list)
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raw_content: Optional[str] = None
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parse_errors: List[str] = field(default_factory=list)
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@dataclass
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class ConfigExtractionResult:
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"""Result of config extraction"""
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config_files: List[ConfigFile] = field(default_factory=list)
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total_files: int = 0
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total_settings: int = 0
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detected_patterns: Dict[str, List[str]] = field(default_factory=dict) # pattern -> files
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errors: List[str] = field(default_factory=list)
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class ConfigFileDetector:
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"""Detect configuration files in codebase"""
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# Config file patterns by type
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CONFIG_PATTERNS = {
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'json': {
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'patterns': ['*.json', 'package.json', 'tsconfig.json', 'jsconfig.json'],
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'names': ['config.json', 'settings.json', 'app.json', '.eslintrc.json', '.prettierrc.json'],
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},
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'yaml': {
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'patterns': ['*.yaml', '*.yml'],
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'names': ['config.yml', 'settings.yml', '.travis.yml', '.gitlab-ci.yml', 'docker-compose.yml'],
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},
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'toml': {
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'patterns': ['*.toml'],
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'names': ['pyproject.toml', 'Cargo.toml', 'config.toml'],
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},
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'env': {
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'patterns': ['.env*', '*.env'],
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'names': ['.env', '.env.example', '.env.local', '.env.production'],
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},
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'ini': {
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'patterns': ['*.ini', '*.cfg'],
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'names': ['config.ini', 'setup.cfg', 'tox.ini'],
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},
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'python': {
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'patterns': [],
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'names': ['settings.py', 'config.py', 'configuration.py', 'constants.py'],
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},
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'javascript': {
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'patterns': ['*.config.js', '*.config.ts'],
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'names': ['config.js', 'next.config.js', 'vue.config.js', 'webpack.config.js'],
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},
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'dockerfile': {
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'patterns': ['Dockerfile*'],
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'names': ['Dockerfile', 'Dockerfile.dev', 'Dockerfile.prod'],
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},
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'docker-compose': {
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'patterns': ['docker-compose*.yml', 'docker-compose*.yaml'],
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'names': ['docker-compose.yml', 'docker-compose.yaml'],
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},
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}
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# Directories to skip
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SKIP_DIRS = {
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'node_modules', 'venv', 'env', '.venv', '__pycache__', '.git',
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'build', 'dist', '.tox', '.mypy_cache', '.pytest_cache',
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'htmlcov', 'coverage', '.eggs', '*.egg-info'
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}
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def find_config_files(self, directory: Path, max_files: int = 100) -> List[ConfigFile]:
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"""
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Find all configuration files in directory.
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Args:
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directory: Root directory to search
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max_files: Maximum number of config files to find
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Returns:
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List of ConfigFile objects
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"""
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config_files = []
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found_count = 0
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for file_path in self._walk_directory(directory):
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if found_count >= max_files:
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logger.info(f"Reached max_files limit ({max_files})")
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break
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config_type = self._detect_config_type(file_path)
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if config_type:
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relative_path = str(file_path.relative_to(directory))
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config_file = ConfigFile(
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file_path=str(file_path),
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relative_path=relative_path,
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config_type=config_type,
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purpose=self._infer_purpose(file_path, config_type)
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)
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config_files.append(config_file)
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found_count += 1
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logger.debug(f"Found {config_type} config: {relative_path}")
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logger.info(f"Found {len(config_files)} configuration files")
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return config_files
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def _walk_directory(self, directory: Path):
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"""Walk directory, skipping excluded directories"""
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for item in directory.rglob('*'):
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# Skip directories
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if item.is_dir():
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continue
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# Skip if in excluded directory
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if any(skip_dir in item.parts for skip_dir in self.SKIP_DIRS):
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continue
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yield item
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def _detect_config_type(self, file_path: Path) -> Optional[str]:
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"""Detect configuration file type"""
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filename = file_path.name.lower()
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# Check each config type
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for config_type, patterns in self.CONFIG_PATTERNS.items():
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# Check exact name matches
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if filename in patterns['names']:
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return config_type
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# Check pattern matches
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for pattern in patterns['patterns']:
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if file_path.match(pattern):
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return config_type
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return None
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def _infer_purpose(self, file_path: Path, config_type: str) -> str:
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"""Infer configuration purpose from file path and name"""
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path_lower = str(file_path).lower()
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filename = file_path.name.lower()
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# Database configs
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if any(word in path_lower for word in ['database', 'db', 'postgres', 'mysql', 'mongo']):
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return 'database_configuration'
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# API configs
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if any(word in path_lower for word in ['api', 'rest', 'graphql', 'endpoint']):
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return 'api_configuration'
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# Logging configs
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if any(word in path_lower for word in ['log', 'logger', 'logging']):
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return 'logging_configuration'
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# Docker configs
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if 'docker' in filename:
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return 'docker_configuration'
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# CI/CD configs
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if any(word in path_lower for word in ['.travis', '.gitlab', '.github', 'ci', 'cd']):
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return 'ci_cd_configuration'
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# Package configs
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if filename in ['package.json', 'pyproject.toml', 'cargo.toml']:
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return 'package_configuration'
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# TypeScript/JavaScript configs
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if filename in ['tsconfig.json', 'jsconfig.json']:
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return 'typescript_configuration'
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# Framework configs
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if 'next.config' in filename or 'vue.config' in filename or 'webpack.config' in filename:
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return 'framework_configuration'
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# Environment configs
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if '.env' in filename:
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return 'environment_configuration'
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# Default
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return 'general_configuration'
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class ConfigParser:
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"""Parse different configuration file formats"""
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def parse_config_file(self, config_file: ConfigFile) -> ConfigFile:
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"""
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Parse configuration file and extract settings.
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Args:
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config_file: ConfigFile object to parse
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Returns:
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Updated ConfigFile with settings populated
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"""
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try:
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# Read file content
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with open(config_file.file_path, 'r', encoding='utf-8') as f:
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config_file.raw_content = f.read()
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# Parse based on type
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if config_file.config_type == 'json':
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self._parse_json(config_file)
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elif config_file.config_type == 'yaml':
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self._parse_yaml(config_file)
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elif config_file.config_type == 'toml':
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self._parse_toml(config_file)
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elif config_file.config_type == 'env':
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self._parse_env(config_file)
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elif config_file.config_type == 'ini':
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self._parse_ini(config_file)
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elif config_file.config_type == 'python':
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self._parse_python_config(config_file)
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elif config_file.config_type == 'javascript':
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self._parse_javascript_config(config_file)
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elif config_file.config_type == 'dockerfile':
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self._parse_dockerfile(config_file)
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elif config_file.config_type == 'docker-compose':
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self._parse_yaml(config_file) # Docker compose is YAML
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except Exception as e:
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error_msg = f"Error parsing {config_file.relative_path}: {str(e)}"
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logger.warning(error_msg)
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config_file.parse_errors.append(error_msg)
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return config_file
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def _parse_json(self, config_file: ConfigFile):
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"""Parse JSON configuration"""
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try:
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data = json.loads(config_file.raw_content)
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self._extract_settings_from_dict(data, config_file)
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except json.JSONDecodeError as e:
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config_file.parse_errors.append(f"JSON parse error: {str(e)}")
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def _parse_yaml(self, config_file: ConfigFile):
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"""Parse YAML configuration"""
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if not YAML_AVAILABLE:
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config_file.parse_errors.append("PyYAML not installed")
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return
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try:
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data = yaml.safe_load(config_file.raw_content)
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if isinstance(data, dict):
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self._extract_settings_from_dict(data, config_file)
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except yaml.YAMLError as e:
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config_file.parse_errors.append(f"YAML parse error: {str(e)}")
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def _parse_toml(self, config_file: ConfigFile):
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"""Parse TOML configuration"""
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if not TOML_AVAILABLE:
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config_file.parse_errors.append("toml/tomli not installed")
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return
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try:
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if 'tomli' in globals():
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data = tomli.loads(config_file.raw_content)
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else:
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import toml
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data = toml.loads(config_file.raw_content)
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self._extract_settings_from_dict(data, config_file)
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except Exception as e:
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config_file.parse_errors.append(f"TOML parse error: {str(e)}")
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def _parse_env(self, config_file: ConfigFile):
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"""Parse .env file"""
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lines = config_file.raw_content.split('\n')
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for line_num, line in enumerate(lines, 1):
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line = line.strip()
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# Skip comments and empty lines
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if not line or line.startswith('#'):
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continue
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# Parse KEY=VALUE
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match = re.match(r'([A-Z_][A-Z0-9_]*)\s*=\s*(.+)', line)
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if match:
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key, value = match.groups()
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value = value.strip().strip('"').strip("'")
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setting = ConfigSetting(
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key=key,
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value=value,
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value_type=self._infer_type(value),
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env_var=key,
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description=self._extract_env_description(lines, line_num - 1)
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)
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config_file.settings.append(setting)
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def _parse_ini(self, config_file: ConfigFile):
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"""Parse INI configuration"""
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import configparser
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try:
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parser = configparser.ConfigParser()
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parser.read_string(config_file.raw_content)
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for section in parser.sections():
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for key, value in parser[section].items():
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setting = ConfigSetting(
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key=f"{section}.{key}",
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value=value,
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value_type=self._infer_type(value),
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nested_path=[section, key]
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)
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config_file.settings.append(setting)
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except Exception as e:
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config_file.parse_errors.append(f"INI parse error: {str(e)}")
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def _parse_python_config(self, config_file: ConfigFile):
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"""Parse Python configuration module"""
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try:
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tree = ast.parse(config_file.raw_content)
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for node in ast.walk(tree):
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if isinstance(node, ast.Assign):
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# Get variable name
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if len(node.targets) == 1 and isinstance(node.targets[0], ast.Name):
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key = node.targets[0].id
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# Skip private variables
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if key.startswith('_'):
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continue
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# Extract value
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try:
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value = ast.literal_eval(node.value)
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setting = ConfigSetting(
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key=key,
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value=value,
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value_type=self._infer_type(value),
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description=self._extract_python_docstring(node)
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)
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config_file.settings.append(setting)
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except (ValueError, TypeError):
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# Can't evaluate complex expressions
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pass
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except SyntaxError as e:
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config_file.parse_errors.append(f"Python parse error: {str(e)}")
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def _parse_javascript_config(self, config_file: ConfigFile):
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"""Parse JavaScript/TypeScript config (basic extraction)"""
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# Simple regex-based extraction for common patterns
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patterns = [
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r'(?:const|let|var)\s+(\w+)\s*[:=]\s*(["\'])(.*?)\2', # String values
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r'(?:const|let|var)\s+(\w+)\s*[:=]\s*(\d+)', # Number values
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r'(?:const|let|var)\s+(\w+)\s*[:=]\s*(true|false)', # Boolean values
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]
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for pattern in patterns:
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for match in re.finditer(pattern, config_file.raw_content):
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if len(match.groups()) >= 2:
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key = match.group(1)
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value = match.group(3) if len(match.groups()) > 2 else match.group(2)
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setting = ConfigSetting(
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key=key,
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value=value,
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value_type=self._infer_type(value)
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)
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config_file.settings.append(setting)
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def _parse_dockerfile(self, config_file: ConfigFile):
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"""Parse Dockerfile configuration"""
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lines = config_file.raw_content.split('\n')
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for line in lines:
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line = line.strip()
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# Extract ENV variables
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if line.startswith('ENV '):
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parts = line[4:].split('=', 1)
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if len(parts) == 2:
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key, value = parts
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setting = ConfigSetting(
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key=key.strip(),
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value=value.strip(),
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value_type='string',
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env_var=key.strip()
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)
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config_file.settings.append(setting)
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# Extract ARG variables
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elif line.startswith('ARG '):
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parts = line[4:].split('=', 1)
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key = parts[0].strip()
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value = parts[1].strip() if len(parts) == 2 else None
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|
||||
setting = ConfigSetting(
|
||||
key=key,
|
||||
value=value,
|
||||
value_type='string'
|
||||
)
|
||||
config_file.settings.append(setting)
|
||||
|
||||
def _extract_settings_from_dict(self, data: Dict, config_file: ConfigFile, parent_path: List[str] = None):
|
||||
"""Recursively extract settings from dictionary"""
|
||||
if parent_path is None:
|
||||
parent_path = []
|
||||
|
||||
for key, value in data.items():
|
||||
if isinstance(value, dict):
|
||||
# Recurse into nested dicts
|
||||
self._extract_settings_from_dict(value, config_file, parent_path + [key])
|
||||
else:
|
||||
setting = ConfigSetting(
|
||||
key='.'.join(parent_path + [key]) if parent_path else key,
|
||||
value=value,
|
||||
value_type=self._infer_type(value),
|
||||
nested_path=parent_path + [key]
|
||||
)
|
||||
config_file.settings.append(setting)
|
||||
|
||||
def _infer_type(self, value: Any) -> str:
|
||||
"""Infer value type"""
|
||||
if value is None:
|
||||
return 'null'
|
||||
elif isinstance(value, bool):
|
||||
return 'boolean'
|
||||
elif isinstance(value, int):
|
||||
return 'integer'
|
||||
elif isinstance(value, float):
|
||||
return 'number'
|
||||
elif isinstance(value, (list, tuple)):
|
||||
return 'array'
|
||||
elif isinstance(value, dict):
|
||||
return 'object'
|
||||
else:
|
||||
return 'string'
|
||||
|
||||
def _extract_env_description(self, lines: List[str], line_index: int) -> str:
|
||||
"""Extract description from comment above env variable"""
|
||||
if line_index > 0:
|
||||
prev_line = lines[line_index - 1].strip()
|
||||
if prev_line.startswith('#'):
|
||||
return prev_line[1:].strip()
|
||||
return ""
|
||||
|
||||
def _extract_python_docstring(self, node: ast.AST) -> str:
|
||||
"""Extract docstring/comment for Python node"""
|
||||
# This is simplified - real implementation would need more context
|
||||
return ""
|
||||
|
||||
|
||||
class ConfigPatternDetector:
|
||||
"""Detect common configuration patterns"""
|
||||
|
||||
# Known configuration patterns
|
||||
KNOWN_PATTERNS = {
|
||||
'database_config': {
|
||||
'keys': ['host', 'port', 'database', 'user', 'username', 'password', 'db_name'],
|
||||
'min_match': 3,
|
||||
},
|
||||
'api_config': {
|
||||
'keys': ['base_url', 'api_key', 'api_secret', 'timeout', 'retry', 'endpoint'],
|
||||
'min_match': 2,
|
||||
},
|
||||
'logging_config': {
|
||||
'keys': ['level', 'format', 'handler', 'file', 'console', 'log_level'],
|
||||
'min_match': 2,
|
||||
},
|
||||
'cache_config': {
|
||||
'keys': ['backend', 'ttl', 'timeout', 'max_size', 'redis', 'memcached'],
|
||||
'min_match': 2,
|
||||
},
|
||||
'email_config': {
|
||||
'keys': ['smtp_host', 'smtp_port', 'email', 'from_email', 'mail_server'],
|
||||
'min_match': 2,
|
||||
},
|
||||
'auth_config': {
|
||||
'keys': ['secret_key', 'jwt_secret', 'token', 'oauth', 'authentication'],
|
||||
'min_match': 1,
|
||||
},
|
||||
'server_config': {
|
||||
'keys': ['host', 'port', 'bind', 'workers', 'threads'],
|
||||
'min_match': 2,
|
||||
},
|
||||
}
|
||||
|
||||
def detect_patterns(self, config_file: ConfigFile) -> List[str]:
|
||||
"""
|
||||
Detect which patterns this config file matches.
|
||||
|
||||
Args:
|
||||
config_file: ConfigFile with settings extracted
|
||||
|
||||
Returns:
|
||||
List of detected pattern names
|
||||
"""
|
||||
detected = []
|
||||
|
||||
# Get all keys from settings (lowercase for matching)
|
||||
setting_keys = {s.key.lower() for s in config_file.settings}
|
||||
|
||||
# Check against each known pattern
|
||||
for pattern_name, pattern_def in self.KNOWN_PATTERNS.items():
|
||||
pattern_keys = {k.lower() for k in pattern_def['keys']}
|
||||
min_match = pattern_def['min_match']
|
||||
|
||||
# Count matches
|
||||
matches = len(setting_keys & pattern_keys)
|
||||
|
||||
if matches >= min_match:
|
||||
detected.append(pattern_name)
|
||||
logger.debug(f"Detected {pattern_name} in {config_file.relative_path} ({matches} matches)")
|
||||
|
||||
return detected
|
||||
|
||||
|
||||
class ConfigExtractor:
|
||||
"""Main configuration extraction orchestrator"""
|
||||
|
||||
def __init__(self):
|
||||
self.detector = ConfigFileDetector()
|
||||
self.parser = ConfigParser()
|
||||
self.pattern_detector = ConfigPatternDetector()
|
||||
|
||||
def extract_from_directory(
|
||||
self,
|
||||
directory: Path,
|
||||
max_files: int = 100
|
||||
) -> ConfigExtractionResult:
|
||||
"""
|
||||
Extract configuration patterns from directory.
|
||||
|
||||
Args:
|
||||
directory: Root directory to analyze
|
||||
max_files: Maximum config files to process
|
||||
|
||||
Returns:
|
||||
ConfigExtractionResult with all findings
|
||||
"""
|
||||
result = ConfigExtractionResult()
|
||||
|
||||
logger.info(f"Extracting configuration patterns from: {directory}")
|
||||
|
||||
# Step 1: Find config files
|
||||
config_files = self.detector.find_config_files(directory, max_files)
|
||||
result.total_files = len(config_files)
|
||||
|
||||
if not config_files:
|
||||
logger.warning("No configuration files found")
|
||||
return result
|
||||
|
||||
# Step 2: Parse each config file
|
||||
for config_file in config_files:
|
||||
try:
|
||||
parsed = self.parser.parse_config_file(config_file)
|
||||
|
||||
# Step 3: Detect patterns
|
||||
patterns = self.pattern_detector.detect_patterns(parsed)
|
||||
parsed.patterns = patterns
|
||||
|
||||
# Track patterns
|
||||
for pattern in patterns:
|
||||
if pattern not in result.detected_patterns:
|
||||
result.detected_patterns[pattern] = []
|
||||
result.detected_patterns[pattern].append(parsed.relative_path)
|
||||
|
||||
result.config_files.append(parsed)
|
||||
result.total_settings += len(parsed.settings)
|
||||
|
||||
except Exception as e:
|
||||
error_msg = f"Error processing {config_file.relative_path}: {str(e)}"
|
||||
logger.error(error_msg)
|
||||
result.errors.append(error_msg)
|
||||
|
||||
logger.info(f"Extracted {result.total_settings} settings from {result.total_files} config files")
|
||||
logger.info(f"Detected patterns: {list(result.detected_patterns.keys())}")
|
||||
|
||||
return result
|
||||
|
||||
def to_dict(self, result: ConfigExtractionResult) -> Dict:
|
||||
"""Convert result to dictionary for JSON output"""
|
||||
return {
|
||||
'total_files': result.total_files,
|
||||
'total_settings': result.total_settings,
|
||||
'detected_patterns': result.detected_patterns,
|
||||
'config_files': [
|
||||
{
|
||||
'file_path': cf.file_path,
|
||||
'relative_path': cf.relative_path,
|
||||
'type': cf.config_type,
|
||||
'purpose': cf.purpose,
|
||||
'patterns': cf.patterns,
|
||||
'settings_count': len(cf.settings),
|
||||
'settings': [
|
||||
{
|
||||
'key': s.key,
|
||||
'value': s.value,
|
||||
'type': s.value_type,
|
||||
'env_var': s.env_var,
|
||||
'description': s.description,
|
||||
}
|
||||
for s in cf.settings
|
||||
],
|
||||
'parse_errors': cf.parse_errors,
|
||||
}
|
||||
for cf in result.config_files
|
||||
],
|
||||
'errors': result.errors,
|
||||
}
|
||||
|
||||
|
||||
def main():
|
||||
"""CLI entry point for config extraction"""
|
||||
import argparse
|
||||
|
||||
parser = argparse.ArgumentParser(description="Extract configuration patterns from codebase with optional AI enhancement")
|
||||
parser.add_argument('directory', type=Path, help='Directory to analyze')
|
||||
parser.add_argument('--output', '-o', type=Path, help='Output JSON file')
|
||||
parser.add_argument('--max-files', type=int, default=100, help='Maximum config files to process')
|
||||
parser.add_argument('--enhance', action='store_true', help='Enhance with AI analysis (API mode, requires ANTHROPIC_API_KEY)')
|
||||
parser.add_argument('--enhance-local', action='store_true', help='Enhance with AI analysis (LOCAL mode, uses Claude Code CLI)')
|
||||
parser.add_argument('--ai-mode', choices=['auto', 'api', 'local', 'none'], default='none',
|
||||
help='AI enhancement mode: auto (detect), api (Claude API), local (Claude Code CLI), none (disable)')
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
# Setup logging
|
||||
logging.basicConfig(level=logging.INFO, format='%(levelname)s: %(message)s')
|
||||
|
||||
# Extract
|
||||
extractor = ConfigExtractor()
|
||||
result = extractor.extract_from_directory(args.directory, args.max_files)
|
||||
|
||||
# Convert to dict
|
||||
output_dict = extractor.to_dict(result)
|
||||
|
||||
# AI Enhancement (if requested)
|
||||
enhance_mode = args.ai_mode
|
||||
if args.enhance:
|
||||
enhance_mode = 'api'
|
||||
elif args.enhance_local:
|
||||
enhance_mode = 'local'
|
||||
|
||||
if enhance_mode != 'none':
|
||||
try:
|
||||
from skill_seekers.cli.config_enhancer import ConfigEnhancer
|
||||
logger.info(f"🤖 Starting AI enhancement (mode: {enhance_mode})...")
|
||||
enhancer = ConfigEnhancer(mode=enhance_mode)
|
||||
output_dict = enhancer.enhance_config_result(output_dict)
|
||||
logger.info("✅ AI enhancement complete")
|
||||
except ImportError:
|
||||
logger.warning("⚠️ ConfigEnhancer not available, skipping enhancement")
|
||||
except Exception as e:
|
||||
logger.error(f"❌ AI enhancement failed: {e}")
|
||||
|
||||
# Output
|
||||
if args.output:
|
||||
with open(args.output, 'w') as f:
|
||||
json.dump(output_dict, f, indent=2)
|
||||
print(f"✅ Saved config extraction results to: {args.output}")
|
||||
else:
|
||||
print(json.dumps(output_dict, indent=2))
|
||||
|
||||
# Summary
|
||||
print(f"\n📊 Summary:")
|
||||
print(f" Config files found: {result.total_files}")
|
||||
print(f" Total settings: {result.total_settings}")
|
||||
print(f" Detected patterns: {', '.join(result.detected_patterns.keys()) or 'None'}")
|
||||
|
||||
if 'ai_enhancements' in output_dict:
|
||||
print(f" ✨ AI enhancements: Yes ({enhance_mode} mode)")
|
||||
insights = output_dict['ai_enhancements'].get('overall_insights', {})
|
||||
if insights.get('security_issues_found'):
|
||||
print(f" 🔐 Security issues found: {insights['security_issues_found']}")
|
||||
|
||||
if result.errors:
|
||||
print(f"\n⚠️ Errors: {len(result.errors)}")
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
Reference in New Issue
Block a user