Resume-Matcher Structure
Project Tree Structure with Design Pattern Mapping
resume-matcher/
βββ π backend/ # FastAPI Backend Service
β βββ π app/ # Main Application Package
β β βββ π core/ # π FACADE + ποΈ FACTORY + βοΈ CONFIG
β β β βββ facade.py # Facade Pattern (unified API interface)
β β β βββ config.py # Configuration Pattern
β β β βββ dependencies.py # Dependency injection
β β β
β β βββ π parsers/ # π FACTORY + π ADAPTER PATTERNS
β β β βββ base_parser.py # Abstract base for all parsers
β β β βββ parser_factory.py # Factory Pattern (document type selection)
β β β βββ pdf_parser.py # Adapter: PDF document processing
β β β βββ docx_parser.py # Adapter: DOCX document processing
β β β βββ txt_parser.py # Adapter: Plain text processing
β β β βββ doc_parser.py # Adapter: Legacy DOC format
β β β
β β βββ π analyzers/ # π― STRATEGY + π TEMPLATE METHOD
β β β βββ base_analyzer.py # Template Method (analysis workflow)
β β β βββ ats_analyzer.py # Strategy: ATS compatibility analysis
β β β βββ keyword_analyzer.py # Strategy: Keyword extraction/matching
β β β βββ content_analyzer.py # Strategy: Content quality analysis
β β β βββ scoring_analyzer.py # Strategy: Match score calculation
β β β
β β βββ π ai/ # π ADAPTER + π― STRATEGY
β β β βββ llm_adapter.py # Adapter Pattern (AI model abstraction)
β β β βββ ollama_adapter.py # Adapter: Local Ollama integration
β β β βββ openai_adapter.py # Adapter: OpenAI API integration
β β β βββ anthropic_adapter.py # Adapter: Anthropic API integration
β β β βββ ai_service.py # Strategy: AI provider selection
β β β
β β βββ π recommendations/ # ποΈ BUILDER + π§ COMMAND
β β β βββ recommendation_builder.py # Builder Pattern (flexible rec creation)
β β β βββ recommendation_engine.py # Template Method (rec generation)
β β β βββ commands/ # Command Pattern implementation
β β β β βββ base_command.py # Abstract command interface
β β β β βββ keyword_command.py # Command: Keyword recommendations
β β β β βββ format_command.py # Command: Formatting suggestions
β β β β βββ content_command.py # Command: Content improvements
β β β βββ invoker.py # Command invoker and history
β β β
β β βββ π observers/ # ποΈ OBSERVER PATTERN
β β β βββ analysis_observer.py # Observer interface
β β β βββ progress_observer.py # Observer: Progress tracking
β β β βββ ui_observer.py # Observer: Real-time UI updates
β β β βββ logging_observer.py # Observer: Analysis logging
β β β
β β βββ π models/ # π DATA MODELS
β β β βββ resume_model.py # Resume data structure
β β β βββ job_description_model.py# Job description data structure
β β β βββ analysis_result_model.py# Analysis results structure
β β β βββ recommendation_model.py # Recommendation data structure
β β β
β β βββ π api/ # π FACADE + π REST API
β β β βββ routes/ # API route definitions
β β β β βββ analysis.py # Analysis endpoints
β β β β βββ upload.py # File upload endpoints
β β β β βββ recommendations.py # Recommendation endpoints
β β β βββ middleware.py # CORS, auth, logging middleware
β β β
β β βββ π database/ # πΎ DATA PERSISTENCE
β β β βββ connection.py # Database connection management
β β β βββ models.py # SQLAlchemy models
β β β βββ repositories/ # Repository pattern
β β β βββ resume_repository.py
β β β βββ analysis_repository.py
β β β
β β βββ main.py # FastAPI application entry point
β β
β βββ π tests/ # Testing Infrastructure
β βββ requirements.txt # Python dependencies
β
βββ π frontend/ # Next.js Frontend Application
β βββ π src/ # Source Code
β β βββ π app/ # Next.js App Router
β β β βββ upload/ # File upload page
β β β βββ analysis/ # Analysis results page
β β β βββ recommendations/ # Recommendations page
β β β
β β βββ π components/ # React Components
β β β βββ upload/ # ποΈ OBSERVER (progress updates)
β β β β βββ FileUpload.tsx # Observer: File upload progress
β β β β βββ UploadProgress.tsx # Observer: Real-time progress
β β β β
β β β βββ analysis/ # π¨ PRESENTATION LAYER
β β β β βββ AnalysisResults.tsx # Results display component
β β β β βββ ScoreCard.tsx # Score visualization
β β β β βββ AnalysisCharts.tsx # Data visualization
β β β β
β β β βββ recommendations/ # π§ COMMAND PATTERN UI
β β β βββ RecommendationList.tsx # Recommendations display
β β β βββ ActionableItem.tsx # Command: Apply recommendation
β β β βββ RecommendationCard.tsx # Individual recommendation UI
β β β
β β βββ π services/ # π ADAPTER + π― STRATEGY
β β β βββ api_client.py # Adapter: Backend API communication
β β β βββ file_service.py # Strategy: File handling strategies
β β β βββ notification_service.py # Observer: User notifications
β β β
β β βββ π hooks/ # React Custom Hooks
β β β βββ useAnalysis.ts # Analysis state management
β β β βββ useFileUpload.ts # File upload state
β β β βββ useRecommendations.ts # Recommendations state
β β β
β β βββ π utils/ # Utility Functions
β β βββ formatters.ts # Data formatting utilities
β β βββ validators.ts # Input validation
β β
β βββ π public/ # Static Assets
β βββ next.config.js # Next.js configuration
β βββ tailwind.config.js # Tailwind CSS configuration
β βββ package.json # Node.js dependencies
β
βββ π docs/ # Documentation
β βββ api.md # API documentation
β βββ setup.md # Setup instructions
β βββ architecture.md # Architecture overview
β
βββ π scripts/ # Utility Scripts
β βββ setup.sh # Environment setup
β βββ deploy.sh # Deployment script
β
βββ docker-compose.yml # Docker containerization
βββ .env.example # Environment variables template
βββ README.md # Project documentationDesign Pattern Interactions & Data Flow
Pattern Synergies & System Properties
π End-to-End Pattern Flow
π― Achieved System Capabilities
Pattern Combination
System Property
Real-World Benefit
π’ Enterprise Production Features
Key Architecture Insights
Why This Design Works
Privacy-First Architecture Benefits
Real-World Production Value
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