TEXT PROCESSOR - HEXAGONAL ARCHITECTURE
Complete Directory Structure

text_processor_hex/
│
├── 📄 README.md                           Project documentation and overview
├── 📄 QUICK_START.md                      Quick start guide for users
├── 📄 ARCHITECTURE.md                     Detailed architecture documentation
├── 📄 PROJECT_SUMMARY.md                  Complete project summary
├── 📄 DIRECTORY_TREE.txt                  This file
│
├── 📄 requirements.txt                    Python dependencies
├── 🚀 main.py                             FastAPI application entry point
├── 📝 example_usage.py                    Programmatic usage examples
│
└── 📁 src/
    ├── 📄 __init__.py
    ├── 🔧 bootstrap.py                    ⚙️ DEPENDENCY INJECTION CONTAINER
    │
    ├── 📁 core/                           ⭐ DOMAIN LAYER (Pure Business Logic)
    │   ├── 📄 __init__.py
    │   │
    │   ├── 📁 domain/                     Domain Models & Logic
    │   │   ├── 📄 __init__.py
    │   │   ├── 📦 models.py               Rich Pydantic v2 Entities
    │   │   │                              - Document
    │   │   │                              - DocumentMetadata
    │   │   │                              - Chunk
    │   │   │                              - ChunkingStrategy
    │   │   ├── ⚠️  exceptions.py          Domain Exceptions
    │   │   │                              - ExtractionError
    │   │   │                              - ChunkingError
    │   │   │                              - ProcessingError
    │   │   │                              - ValidationError
    │   │   │                              - RepositoryError
    │   │   └── 🔨 logic_utils.py          Pure Functions
    │   │                                  - normalize_whitespace()
    │   │                                  - clean_text()
    │   │                                  - split_into_paragraphs()
    │   │                                  - truncate_to_word_boundary()
    │   │
    │   ├── 📁 ports/                      Port Interfaces (Abstractions)
    │   │   ├── 📄 __init__.py
    │   │   │
    │   │   ├── 📁 incoming/               Service Interfaces (Use Cases)
    │   │   │   ├── 📄 __init__.py
    │   │   │   └── 🔌 text_processor.py   ITextProcessor
    │   │   │                              - process_document()
    │   │   │                              - extract_and_chunk()
    │   │   │                              - get_document()
    │   │   │                              - list_documents()
    │   │   │
    │   │   └── 📁 outgoing/               SPIs (Service Provider Interfaces)
    │   │       ├── 📄 __init__.py
    │   │       ├── 🔌 extractor.py        IExtractor
    │   │       │                          - extract()
    │   │       │                          - supports_file_type()
    │   │       ├── 🔌 chunker.py          IChunker
    │   │       │                          - chunk()
    │   │       │                          - supports_strategy()
    │   │       └── 🔌 repository.py       IDocumentRepository
    │   │                                  - save()
    │   │                                  - find_by_id()
    │   │                                  - delete()
    │   │
    │   └── 📁 services/                   Business Logic Orchestration
    │       ├── 📄 __init__.py
    │       └── ⚙️  document_processor_service.py
    │                                      DocumentProcessorService
    │                                      Implements: ITextProcessor
    │                                      Workflow: Extract → Clean → Chunk → Save
    │
    ├── 📁 adapters/                       🔌 ADAPTER LAYER (External Concerns)
    │   ├── 📄 __init__.py
    │   │
    │   ├── 📁 incoming/                   Driving Adapters (Primary)
    │   │   ├── 📄 __init__.py
    │   │   ├── 🌐 api_routes.py          FastAPI Routes (HTTP Adapter)
    │   │   │                              - POST /process
    │   │   │                              - POST /extract-and-chunk
    │   │   │                              - GET /documents/{id}
    │   │   │                              - GET /documents
    │   │   │                              - DELETE /documents/{id}
    │   │   └── 📋 api_schemas.py          Pydantic Request/Response Models
    │   │                                  - ProcessDocumentRequest
    │   │                                  - DocumentResponse
    │   │                                  - ChunkResponse
    │   │
    │   └── 📁 outgoing/                   Driven Adapters (Secondary)
    │       ├── 📄 __init__.py
    │       │
    │       ├── 📁 extractors/             Text Extraction Adapters
    │       │   ├── 📄 __init__.py
    │       │   ├── 📑 base.py             BaseExtractor (Template Method)
    │       │   ├── 📕 pdf_extractor.py    PDFExtractor
    │       │   │                          Uses: PyPDF2
    │       │   │                          Supports: .pdf
    │       │   ├── 📘 docx_extractor.py   DocxExtractor
    │       │   │                          Uses: python-docx
    │       │   │                          Supports: .docx
    │       │   ├── 📄 txt_extractor.py    TxtExtractor
    │       │   │                          Uses: built-in
    │       │   │                          Supports: .txt, .md
    │       │   └── 🏭 factory.py          ExtractorFactory (Factory Pattern)
    │       │                              - create_extractor()
    │       │                              - register_extractor()
    │       │
    │       ├── 📁 chunkers/               Text Chunking Adapters
    │       │   ├── 📄 __init__.py
    │       │   ├── 📑 base.py             BaseChunker (Template Method)
    │       │   ├── ✂️  fixed_size_chunker.py  FixedSizeChunker
    │       │   │                          Strategy: Fixed-size chunks
    │       │   │                          Features: Overlap, boundaries
    │       │   ├── 📝 paragraph_chunker.py    ParagraphChunker
    │       │   │                          Strategy: Paragraph-based
    │       │   │                          Features: Respect paragraphs
    │       │   └── 🎯 context.py          ChunkingContext (Strategy Pattern)
    │       │                              - set_strategy()
    │       │                              - execute_chunking()
    │       │
    │       └── 📁 persistence/            Data Persistence Adapters
    │           ├── 📄 __init__.py
    │           └── 💾 in_memory_repository.py
    │                                      InMemoryDocumentRepository
    │                                      Features: Thread-safe, Dict storage
    │
    └── 📁 shared/                         🛠️  SHARED LAYER (Cross-Cutting)
        ├── 📄 __init__.py
        ├── 🎛️  constants.py               Application Constants
        │                                  - File types
        │                                  - Chunk sizes
        │                                  - API config
        └── 📋 logging_config.py           Logging Configuration
                                           - setup_logging()
                                           - get_logger()


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📊 PROJECT STATISTICS
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Total Files:              44
  - Python files:         42
  - Documentation:        4 (README, ARCHITECTURE, SUMMARY, QUICK_START)
  - Configuration:        1 (requirements.txt)
  - Other:                1 (this tree)

Lines of Code:           ~3,800
  - Core Domain:         ~1,200 lines
  - Adapters:            ~1,400 lines
  - Bootstrap/Main:      ~200 lines
  - Documentation:       ~1,000 lines

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🏗️  ARCHITECTURE LAYERS
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1. CORE (Domain Layer)
   - Pure business logic
   - No external dependencies
   - Rich domain models
   - Pure functions

2. ADAPTERS (Infrastructure Layer)
   - Incoming: FastAPI (HTTP)
   - Outgoing: Extractors, Chunkers, Repository
   - Technology-specific implementations

3. BOOTSTRAP (Wiring Layer)
   - Dependency injection
   - Configuration
   - Application assembly

4. SHARED (Utilities Layer)
   - Cross-cutting concerns
   - Logging, constants
   - No business logic

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🎨 DESIGN PATTERNS
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✓ Hexagonal Architecture (Ports & Adapters)
✓ Factory Pattern (ExtractorFactory)
✓ Strategy Pattern (ChunkingContext)
✓ Repository Pattern (IDocumentRepository)
✓ Template Method Pattern (BaseExtractor, BaseChunker)
✓ Dependency Injection (ApplicationContainer)

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💎 SOLID PRINCIPLES
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✓ Single Responsibility: Each class has one job
✓ Open/Closed: Extend via interfaces, not modification
✓ Liskov Substitution: All implementations are interchangeable
✓ Interface Segregation: Small, focused interfaces
✓ Dependency Inversion: Depend on abstractions, not concretions

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🎯 KEY FEATURES
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✓ Multiple file types (PDF, DOCX, TXT)
✓ Multiple chunking strategies (Fixed, Paragraph)
✓ Rich domain models with validation
✓ Comprehensive error handling
✓ RESTful API with FastAPI
✓ Thread-safe repository
✓ 100% type hints
✓ Google-style docstrings
✓ Complete documentation

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📚 DOCUMENTATION FILES
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README.md              - Project overview and installation
QUICK_START.md         - Quick start guide for users
ARCHITECTURE.md        - Detailed architecture documentation with diagrams
PROJECT_SUMMARY.md     - Complete project summary and statistics
DIRECTORY_TREE.txt     - This file

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