voo_logging 0.0.9

A comprehensive logging package for Flutter and Dart applications with DevTools integration.

Voo Logging

A comprehensive, production-ready logging package for Flutter and Dart applications with DevTools integration, persistent storage, and powerful filtering capabilities.

🚀 Features

• 🎯 Simple API - Intuitive methods for different log levels (verbose, debug, info, warning, error, fatal)
• 🔧 DevTools Integration - Real-time log viewing and filtering in Flutter DevTools
• 💾 Persistent Storage - Logs survive app restarts using Sembast database
• 🏷️ Rich Context - Categories, tags, metadata, user tracking, and session management
• ⚡ High Performance - Non-blocking async operations with efficient indexing
• 🌐 Cross-Platform - Works on iOS, Android, Web, macOS, Windows, and Linux
• 📊 Statistics - Built-in analytics for log patterns and error tracking
• 🔍 Advanced Filtering - Filter by level, time range, category, tag, or text search
• 📤 Export Options - Export logs as JSON or CSV for external analysis

📦 Installation

Add to your pubspec.yaml:

dependencies:
  voo_logging: ^0.0.1

Then run:

flutter pub get

🎯 Quick Start

import 'package:voo_logging/voo_logging.dart';

void main() async {
  // Initialize the logger
  await VooLogger.initialize();
  
  // Start logging!
  VooLogger.info('App started successfully');
  
  runApp(MyApp());
}

📖 Usage Examples

Basic Logging

// Different log levels
VooLogger.verbose('Detailed trace information');
VooLogger.debug('Debug information for development');
VooLogger.info('General information');
VooLogger.warning('Warning: This might be a problem');
VooLogger.error('Error occurred', error: exception, stackTrace: stack);
VooLogger.fatal('Fatal error - app might crash');

Structured Logging with Context

// Log with categories and tags
VooLogger.info('User logged in',
  category: 'Auth',
  tag: 'login_success',
  metadata: {
    'userId': user.id,
    'method': 'email',
    'timestamp': DateTime.now().toIso8601String(),
  }
);

// Track API calls
VooLogger.debug('API Request',
  category: 'Network',
  tag: 'api_call',
  metadata: {
    'endpoint': '/api/users',
    'method': 'GET',
    'headers': headers,
  }
);

// Log errors with full context
VooLogger.error('Payment failed',
  category: 'Payment',
  tag: 'payment_error',
  error: exception,
  stackTrace: stackTrace,
  metadata: {
    'amount': 99.99,
    'currency': 'USD',
    'provider': 'stripe',
    'errorCode': 'insufficient_funds',
  }
);

User and Session Tracking

// Set user context (persists across all logs)
VooLogger.setUserId('user_123');

// Get current session ID
final sessionId = VooLogger.currentSessionId;

// Clear user context on logout
VooLogger.clearUserId();

Querying and Filtering Logs

// Get recent logs
final recentLogs = await VooLogger.getLogs(limit: 100);

// Filter by log level
final errors = await VooLogger.getLogsByLevel(LogLevel.error);
final warnings = await VooLogger.getLogsByLevel(LogLevel.warning);

// Filter by time range
final todayLogs = await VooLogger.getLogsByTimeRange(
  startTime: DateTime.now().subtract(Duration(days: 1)),
  endTime: DateTime.now(),
);

// Filter by category
final authLogs = await VooLogger.getLogsByCategory('Auth');

// Filter by tag
final loginLogs = await VooLogger.getLogsByTag('login_success');

// Search logs by text
final searchResults = await VooLogger.searchLogs('payment');

// Get logs for specific session
final sessionLogs = await VooLogger.getLogsBySession(sessionId);

// Get logs for specific user
final userLogs = await VooLogger.getLogsByUser('user_123');

// Get unique values for filtering
final categories = await VooLogger.getCategories();
final tags = await VooLogger.getTags();
final sessions = await VooLogger.getSessions();

Statistics and Analytics

// Get log statistics
final stats = await VooLogger.getStatistics();

print('Total logs: ${stats.totalLogs}');
print('Logs by level: ${stats.logsByLevel}');
print('Logs by category: ${stats.logsByCategory}');
print('Error rate: ${stats.errorRate}%');
print('Most frequent categories: ${stats.topCategories}');
print('Most frequent tags: ${stats.topTags}');

Exporting Logs

// Export as JSON
final jsonExport = await VooLogger.exportLogs(
  format: 'json',
  filter: LogFilter(
    levels: [LogLevel.error, LogLevel.fatal],
    startTime: DateTime.now().subtract(Duration(days: 7)),
  ),
);

// Export as CSV
final csvExport = await VooLogger.exportLogs(
  format: 'csv',
  filter: LogFilter(
    category: 'Payment',
  ),
);

// Save to file
final file = File('logs_export.json');
await file.writeAsString(jsonExport);

Log Management

// Clear all logs
await VooLogger.clearLogs();

// Clear old logs (older than 30 days)
await VooLogger.clearOldLogs(days: 30);

// Get storage info
final storageInfo = await VooLogger.getStorageInfo();
print('Storage used: ${storageInfo.sizeInBytes} bytes');
print('Number of logs: ${storageInfo.logCount}');

🔧 DevTools Extension

The package includes a powerful DevTools extension for real-time log monitoring and analysis.

Features:

• 📊 Real-time log streaming
• 🔍 Advanced filtering and search
• 📈 Visual statistics and charts
• 🎨 Syntax highlighting for metadata
• 📤 Export functionality
• 🔄 Auto-scroll and pause options

Using DevTools:

1. Run your app in debug mode
2. Open Flutter DevTools
3. Navigate to the "Voo Logger" tab
4. Start monitoring your logs!

⚙️ Configuration

Custom Configuration

await VooLogger.initialize(
  config: VooLoggerConfig(
    // Maximum number of logs to keep
    maxLogs: 100000,
    
    // Auto-delete logs older than X days
    autoDeleteAfterDays: 30,
    
    // Enable/disable console output
    enableConsoleOutput: true,
    
    // Minimum level for console output
    consoleLogLevel: LogLevel.debug,
    
    // Enable/disable DevTools integration
    enableDevTools: true,
    
    // Custom log format
    logFormat: (log) => '[${log.level}] ${log.message}',
  ),
);

Performance Considerations

• Logs are written asynchronously to avoid blocking the UI
• Automatic indexing on timestamp, level, category, and tag
• Configurable cache size and retention policies
• Efficient batch operations for bulk queries

🏗️ Architecture

The package follows clean architecture principles:

lib/
├── src/
│   ├── data/
│   │   ├── enums/          # LogLevel enum
│   │   ├── models/         # Data models
│   │   └── sources/        # Storage implementation
│   └── domain/
│       └── entities/       # Core entities
├── voo_logging.dart        # Public API
└── devtools_extension/     # DevTools integration

🧪 Testing

// Use InMemoryLogStorage for testing
testWidgets('test with logging', (tester) async {
  await VooLogger.initialize(useInMemoryStorage: true);
  
  // Your test code
  VooLogger.info('Test started');
  
  // Verify logs
  final logs = await VooLogger.getLogs();
  expect(logs.length, 1);
  expect(logs.first.message, 'Test started');
});

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📋 Roadmap

🎯 Core Features

• Remote Logging Backend - Send logs to remote servers with automatic retry and buffering

  • Why: Essential for production apps to centralize logs from multiple devices
  • Use case: Monitor app health across thousands of users in real-time

• End-to-End Encryption - Encrypt sensitive logs with AES-256 before storage

  • Why: Protect user privacy and comply with security requirements
  • Use case: Healthcare apps logging patient interactions, financial apps with transaction logs

• Custom Storage Adapters - Support for SQLite, Hive, Isar, and cloud storage (Firebase, AWS S3)

  • Why: Different apps have different storage needs and existing infrastructure
  • Use case: Use Isar for offline-first apps, Firebase for real-time sync, S3 for long-term archives

• Smart Log Rotation - Size-based, time-based, and count-based rotation strategies

  • Why: Prevent logs from consuming all device storage
  • Use case: Keep last 7 days or 100MB of logs, whichever comes first

• Performance Monitoring - Built-in performance metrics and flame graphs

  • Why: Logging shouldn't slow down your app, and you need to know if it does
  • Use case: Detect when logging is impacting frame rates or response times

• Crash Reporting Integration - Seamless integration with Sentry, Crashlytics, and Bugsnag

  • Why: Logs provide context for crashes, making debugging faster
  • Use case: Automatically attach last 100 logs to crash reports

🚀 Advanced Features

• Log Replay - Record and replay user sessions for debugging

  • Why: Reproduce bugs exactly as users experienced them
  • Use case: Customer reports issue → replay their exact session with logs

• Real-time Log Streaming - WebSocket-based live log streaming to DevTools

  • Why: Debug issues as they happen, not after the fact
  • Use case: Watch logs from beta testers' devices during testing sessions

• AI-Powered Log Analysis - Automatic pattern detection and anomaly alerts

  • Why: Humans can't watch millions of logs, but AI can spot patterns
  • Use case: "Unusual spike in payment errors from UK users in last hour"

• Log Aggregation - Combine logs from multiple devices/users for analysis

  • Why: Understand system-wide issues, not just individual problems
  • Use case: "Show all logs related to order #12345 across all microservices"

• Custom Log Processors - Plugin system for custom log transformation

  • Why: Every team has unique logging needs
  • Use case: Auto-tag logs with feature flags, A/B test variants, or user segments

• Log Sampling - Intelligent sampling for high-volume applications

  • Why: Reduce costs while maintaining visibility into issues
  • Use case: Log 1% of success cases but 100% of errors

🔧 Developer Experience

• VS Code Extension - View and filter logs directly in VS Code

  • Why: Stay in your editor while debugging
  • Use case: Click on error in editor → see related logs in sidebar

• IntelliJ Plugin - Full IDE integration for JetBrains products

  • Why: Android Studio and IntelliJ users need first-class support
  • Use case: Set breakpoints that capture surrounding logs

• CLI Tool - Command-line interface for log analysis and export

  • Why: Power users and CI/CD pipelines need scriptable access
  • Use case: voo logs --level=error --last=1h | grep payment

• Log Templates - Pre-built templates for common logging scenarios

  • Why: Standardize logging across teams without repetitive code
  • Use case: @LogHttpRequest automatically logs method, URL, duration, status

• Annotation Support - @Log annotations for automatic method logging

  • Why: Reduce boilerplate while ensuring consistent logging
  • Use case: @LogExecution logs method entry, exit, duration, and parameters

• Code Generation - Generate boilerplate logging code

  • Why: Consistency and time-saving for large codebases
  • Use case: Generate repository classes with built-in operation logging

📊 Analytics & Insights

• Log Dashboard - Web-based dashboard for log visualization

  • Why: Non-developers need to understand app health too
  • Use case: Product managers tracking feature adoption through logs

• Custom Metrics - Define and track custom business metrics

  • Why: Logs contain business intelligence, not just errors
  • Use case: Track conversion funnel drop-offs through log events

• Alerting System - Set up alerts for specific log patterns

  • Why: Be proactive, not reactive to issues
  • Use case: Alert when error rate exceeds 1% or response time > 2s

• Log Correlation - Correlate logs across microservices

  • Why: Modern apps are distributed, debugging should be too
  • Use case: Track a request from mobile app → API → database → response

• Export to BI Tools - Direct export to Tableau, PowerBI, etc.

  • Why: Leverage existing business intelligence infrastructure
  • Use case: Daily export of user behavior logs to data warehouse

• Machine Learning - Predictive analysis and trend detection

  • Why: Predict problems before they happen
  • Use case: "Memory leak detected, will cause crashes in ~2 hours"

🔐 Security & Compliance

• GDPR Compliance - Automatic PII detection and redaction

  • Why: Avoid massive fines and protect user privacy
  • Use case: Automatically redact email addresses, phone numbers from logs

• Audit Trail - Immutable audit logs with blockchain verification

  • Why: Prove compliance and detect tampering
  • Use case: Financial apps proving transaction logs haven't been altered

• Role-Based Access - Fine-grained access control for logs

  • Why: Not everyone should see all logs
  • Use case: Support sees user logs, developers see system logs

• Log Retention Policies - Automated compliance with data retention laws

  • Why: Different data has different legal requirements
  • Use case: Keep audit logs 7 years, user logs 90 days, delete PII after 30 days

• Security Scanning - Detect sensitive data in logs automatically

  • Why: Developers accidentally log passwords, API keys, etc.
  • Use case: Block logs containing patterns like API keys or credit cards

🌐 Platform Extensions

• React Native Support - Full support for React Native apps

  • Why: Huge ecosystem that needs quality logging
  • Use case: Single logging solution for React Native + native modules

• Server-Side Dart - Optimized for Dart backend applications

  • Why: Full-stack Dart is growing, needs unified logging
  • Use case: Correlate frontend and backend logs with same tool

• Edge Computing - Log processing at the edge with Cloudflare Workers

  • Why: Process logs closer to users for faster insights
  • Use case: Regional log aggregation without centralized bottlenecks

• IoT Support - Lightweight logging for IoT devices

  • Why: Constrained devices need efficient logging too
  • Use case: Smart home devices with 512KB RAM still get structured logging

• Desktop Widgets - Native desktop widgets for log monitoring

  • Why: Keep critical metrics always visible
  • Use case: Menu bar widget showing error count, system tray alerts

🎨 Visualization

• Log Flow Diagrams - Visualize log flow through your application

  • Why: Understand complex interactions visually
  • Use case: See how a user action triggers logs across 10 microservices

• Heat Maps - Visual representation of log density

  • Why: Spot patterns and anomalies at a glance
  • Use case: See which app features generate most errors by time of day

• 3D Log Explorer - Navigate logs in 3D space by time/category

  • Why: Spatial navigation can reveal patterns 2D lists miss
  • Use case: Fly through a timeline of events leading to an outage

• AR Log Viewer - View logs in augmented reality

  • Why: Spatial debugging for IoT, servers, and mobile testing
  • Use case: Point phone at smart device to see its logs floating above it

• Custom Themes - Beautiful themes for DevTools extension

  • Why: Developers stare at logs all day, they should look good
  • Use case: Dark themes, high contrast, colorblind-friendly options

📄 License

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

🙏 Acknowledgments

• Built with Sembast for efficient local storage
• Inspired by enterprise logging solutions
• Thanks to the Flutter community for feedback and contributions

📞 Support

• 📧 Email: [e-mail]
• 🐛 Issues: GitHub Issues
• 💬 Discussions: GitHub Discussions

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