🎉 Initial Release #

Added

Core Features:

• Complete crash reporting manager system with dependency inversion
• Abstract CrashManager interface for unified crash reporting
• Firebase Crashlytics implementation (FirebaseCrashManager)
• Sentry implementation (SentryCrashManager)
• Multi-service implementation (MultiCrashManager)

Data Models:

• CrashReport - Comprehensive crash report model with all metadata
• UserContext - User information and context for crashes
• DeviceInfo - Device and app information collection
• All models extend BaseDataModel from flutter_shared_utilities

Core Functionality:

• Fatal and non-fatal crash reporting
• Custom crash report creation and submission
• User context management with authentication status
• Device information collection across all platforms
• Custom attributes and metadata support
• Breadcrumb logging for debugging trails
• Session management and tracking
• Crash filtering with custom filter functions
• Privacy controls with sensitive data sanitization

Utilities:

• CrashUtils - Helper functions for crash management
  • Crash ID generation
  • Error message extraction
  • Stack trace truncation
  • Crash report formatting
  • Data sanitization
  • Crash deduplication
• DeviceInfoCollector - Cross-platform device information
  • Android, iOS, macOS, Windows, Linux, Web support
  • Screen size, memory, connectivity information
  • App version and build information

Firebase Crashlytics Integration:

• Complete Firebase Crashlytics SDK integration
• Automatic Flutter error handling setup
• Device context and user information syncing
• Custom key and attribute support
• Breadcrumb logging
• Crash filtering
• Pending reports management

Sentry Integration:

• Full Sentry Flutter SDK integration
• User context and device information
• Custom tags and extra data
• Breadcrumb support with levels
• Scope management
• Exception capturing with custom levels

Multi-Service Support:

• Simultaneous use of multiple crash reporting services
• Parallel operation execution for performance
• Individual service error handling
• Crash-free percentage aggregation
• Safe operation execution with error isolation

Type Safety:

• Comprehensive null safety throughout
• Safe type conversion utilities
• Proper error handling patterns
• No force unwrapping or unsafe casting

Platform Support:

• ✅ Android
• ✅ iOS
• ✅ macOS
• ✅ Windows
• ✅ Linux
• ✅ Web

Dependencies

Core Dependencies:

• flutter_shared_utilities: ^1.0.4 - Base data models and utilities
• firebase_crashlytics: ^4.1.3 - Firebase Crashlytics SDK
• firebase_core: ^3.6.0 - Firebase core functionality
• sentry_flutter: ^8.9.0 - Sentry error tracking
• logger: ^2.4.0 - Structured logging
• connectivity_plus: ^6.0.5 - Network connectivity monitoring
• device_info_plus: ^10.1.2 - Device information collection
• package_info_plus: ^8.0.2 - App version information
• dio: ^5.7.0 - HTTP client for API calls
• shared_preferences: ^2.3.2 - Local storage

Development Dependencies:

• flutter_test - Flutter testing framework
• mockito: ^5.4.4 - Mocking for unit tests
• build_runner: ^2.4.13 - Code generation
• flutter_lints: ^5.0.0 - Flutter linting rules
• custom_lint: ^0.7.5 - Custom linting
• flutter_custom_lints: ^1.0.3 - Additional Flutter lints

Documentation

• 📖 Comprehensive README with setup instructions
• 🔧 Firebase Crashlytics setup guide for Android and iOS
• 🔧 Sentry setup and configuration guide
• 💻 Complete API documentation with examples
• 📝 Best practices and usage patterns
• 🐛 Troubleshooting guide for common issues
• 🎯 Advanced usage examples with filtering and context

Examples

• Basic crash manager setup
• Firebase Crashlytics configuration
• Sentry integration examples
• Multi-service crash manager usage
• Custom crash filtering implementation
• Advanced context and metadata setup
• Performance monitoring integration
• Error boundary implementation

Technical Details #

Architecture

• Clean Architecture principles with clear separation of concerns
• Dependency inversion with abstract interfaces
• Repository pattern for crash reporting services
• Strategy pattern for multiple service support
• Observer pattern for crash filtering

Performance

• Asynchronous operations throughout
• Parallel execution for multi-service operations
• Efficient memory usage with proper disposal
• Background processing for crash reporting
• Rate limiting and throttling support

Security & Privacy

• Built-in sensitive data sanitization
• Configurable privacy controls
• Secure token and credential handling
• GDPR compliance considerations
• User consent management support

Testing

• Unit tests for all core functionality
• Integration tests for service implementations
• Mock implementations for testing
• Test utilities for crash simulation
• Comprehensive test coverage

Breaking Changes #

None - This is the initial release.

Migration Guide #

This is the initial release, no migration needed.

Known Issues #

• None at this time

Deprecations #

• None

---

[Unreleased] #

Planned Features #

• Analytics integration for crash trends
• Custom crash grouping algorithms
• Real-time crash monitoring
• Crash prediction and prevention
• Enhanced performance monitoring
• ML-based crash analysis
• Custom dashboard integration
• Webhook support for notifications
• Advanced filtering with regex patterns
• Crash impact scoring
• User journey reconstruction
• A/B testing integration for crash rates

Future Improvements #

• Enhanced offline support
• Custom encryption for sensitive data
• Advanced sampling strategies
• Custom reporting intervals
• Batch processing optimization
• Memory usage optimization
• Battery usage monitoring
• Network usage tracking
• Custom crash categories
• Enhanced debugging tools

---

Support & Feedback #

If you encounter any issues or have feature requests, please:

1. Check the documentation first
2. Search existing issues
3. Create a new issue with detailed information
4. Include crash manager version, Flutter version, and platform details

Contributing #

We welcome contributions! Please see our Contributing Guide for details on:

• Code style and standards
• Testing requirements
• Pull request process
• Development setup
• Release process

License #

This project is licensed under the MIT License - see the LICENSE file for details.