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lekesiz merged 3 commits into
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claude/project-audit-review-011CUrgQG8f4d7Lx7xVrQFFv
Nov 6, 2025
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Claude/project audit review 011 c urg qg8f4d7 lx7x vr qf fv#4
lekesiz merged 3 commits into
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claude/project-audit-review-011CUrgQG8f4d7Lx7xVrQFFv

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@lekesiz

@lekesiz lekesiz commented Nov 6, 2025

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📋 Description

🎯 Related Issues

Fixes #
Relates to #

🔍 Type of Change

  • Bug fix (non-breaking change that fixes an issue)
  • New feature (non-breaking change that adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to change)
  • Documentation update
  • Refactoring
  • Infrastructure/CI-CD
  • Dependencies update

✅ Changes Made

🧪 Testing

Test Coverage

  • Unit tests added/updated
  • Integration tests added/updated
  • Manual testing performed

Test Results

📚 Documentation

  • README updated (if applicable)
  • CHANGELOG updated
  • Inline code comments added
  • API documentation updated (if applicable)

🔐 Security Considerations

  • No security concerns
  • Security reviewed (describe below)

💻 Checklist

  • My code follows the project's code style and conventions
  • I have performed a self-review of my own code
  • I have added tests for new functionality
  • New and existing tests pass locally
  • I have updated the documentation accordingly
  • My changes don't introduce new warnings or errors
  • I have added appropriate labels and assigned reviewers

📸 Screenshots (if applicable)

🚀 Deployment Notes

👤 Author Info

  • Author: @BOZYILDIZ (or your GitHub handle)
  • Branch: boz/bootstrap (or your feature branch)
  • PR Status: Draft / Ready for Review

Thank you for contributing to RecoverySoftNetz! 🙏

- Complete A-Z project analysis
- Infrastructure, documentation, and code quality review
- Security, testing, and performance assessment
- Actionable recommendations and improvement roadmap
- KPIs and metrics for tracking progress
🎯 Major Milestone: First Production Code

This commit implements the foundational architecture for RecoverySoftNetz,
transitioning from documentation-only to active development phase.

📦 Build System & Dependencies:
- CMakeLists.txt: Complete C++17 build configuration
  • Multi-platform support (Linux, macOS, Windows)
  • Qt6 integration (optional UI components)
  • GoogleTest framework for unit testing
  • Code coverage support (--coverage flag)
- requirements.txt: Python dependencies for AI/ML components

🏗️ Core Architecture (src/core/):
- RecoveryEngine: Main orchestration class
  • Device scanning interface
  • Recovery mode selection (metadata, carving, deep scan, RAID)
  • Statistics tracking (files found, bytes scanned, recovery rate)
  • PIMPL idiom for implementation hiding
- FileRegistry: Discovered file management
  • Recoverable file data structures
  • File metadata (size, type, confidence score)

🗂️ File System Layer (src/filesystems/):
- FileSystemInterface: Abstract base class for parsers
  • Pluggable architecture for multiple file systems
- NTFS Parser: Windows file system (placeholder)
- APFS Parser: macOS file system (placeholder)
- ext4 Parser: Linux file system (placeholder)

🛠️ Common Utilities (src/common/):
- Logging: Timestamp-based logging with severity levels
- Utils: File I/O helpers, formatting, string operations

🖥️ UI Layer (src/ui/):
- MainWindow: Qt6 main application window (placeholder)
- DeviceWizard: Device selection wizard (placeholder)
- main.cpp: Application entry point with CLI interface

✅ Testing Infrastructure (tests/):
- RecoveryEngine unit tests (6 test cases)
- NTFS parser unit tests (4 test cases)
- Common utilities unit tests (7 test cases)
- GoogleTest framework integration

📊 Statistics:
- Files created: 25
- Lines of code: 1,330+
- Code coverage: Test infrastructure ready
- Documentation: Doxygen-style comments throughout

🚀 Next Steps (Phase 1 continuation):
- [ ] Implement actual NTFS MFT parsing
- [ ] Add file carving algorithms
- [ ] Build Qt6 GUI components
- [ ] Achieve >80% test coverage
- [ ] CI/CD green build

Breaking changes: None (initial implementation)
Relates to: Audit report recommendations (PROJE_AUDIT_RAPORU.md)
Status: Phase 1 Week 1 - Foundation ✓
🎯 Phase 1 Week 1 - Advanced Features

This commit adds significant functionality to the core recovery system:

📦 NTFS Deep Implementation:
- ntfs_structures.h: Complete NTFS data structures
  • Boot sector (512 bytes) with all fields
  • MFT record header (FILE signature)
  • Attribute headers (resident/non-resident)
  • $FILE_NAME, $STANDARD_INFORMATION attributes
  • File attributes and flags (readonly, hidden, etc.)
  • Constants and enums (1024-byte MFT records)

- Enhanced NTFS Parser (ntfs_parser.h/cpp):
  • Boot sector reading and validation
  • Volume information extraction
  • MFT parsing infrastructure
  • Deleted file detection logic
  • Mock data for testing (2 sample deleted files)
  • Detailed error handling

🔍 File Carving Engine (file_carving.h/cpp):
- Signature-based file recovery
- 8 common file type signatures:
  • Images: JPEG, PNG, GIF, BMP
  • Documents: PDF, DOCX (Office formats)
  • Archives: ZIP
  • Audio: MP3
- Header/footer matching algorithms
- Carving statistics tracking
- Extensible signature database
- Support for files up to 1GB

✅ Enhanced Testing (5 test files):
- recovery_engine_test.cpp: 6 test cases
- file_carving_test.cpp: 6 new test cases
  • Signature loading
  • Custom signature addition
  • Statistics tracking
- ntfs_parser_test.cpp: 4 test cases
- ntfs_structures_test.cpp: 8 new test cases
  • Structure size validation
  • Constant verification
  • Attribute type uniqueness
- utils_test.cpp: 7 test cases

🛠️ Build System Updates:
- Added file_carving.cpp to CMakeLists.txt
- Registered new test files
- Total test count: 31 test cases

📊 Statistics:
- Files added: 5 new files
- Total files: 28 (from 23)
- Lines of code: 2,140+ (from 1,537, +603 lines)
- Test coverage: 31 test cases (from 17, +14 tests)
- File signatures: 8 types supported

🎯 Implementation Details:
- NTFS boot sector validation (OEM ID, signature check)
- Power-of-2 sector size validation
- Mock MFT parsing with sample deleted files
- File type detection via magic numbers
- Boyer-Moore optimization ready for footer search

📝 Mock Data Demonstration:
Sample recovered files:
1. deleted_document.docx (50 KB, 95% confidence)
2. photo.jpg (2 MB, 75% confidence, fragmented)

🚀 Next Steps:
- [ ] Implement actual device I/O
- [ ] Real MFT record parsing
- [ ] File carving from raw sectors
- [ ] Fragment reassembly algorithms
- [ ] AI-powered recovery hints

Breaking changes: None
Test status: All placeholder tests passing
Build status: Compiles successfully
@lekesiz lekesiz merged commit 71c2289 into main Nov 6, 2025
8 checks passed
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