OnlyAutomator’s data management system provides robust storage, processing, and analysis capabilities for content creator data. Data Architecture OverviewDocumentation Index
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Data Categories
OnlyAutomator manages several categories of data:1. User Data
Information about system users (content creators):- Account Information: Email, name, profile details
- Authentication Details: Hashed passwords, session tokens
- Preferences: System settings and preferences
- Subscription Status: Current plan, billing information
2. Creator Analytics
Performance metrics for content creators:- Subscriber Metrics: Growth, churn, and engagement statistics
- Revenue Data: Income streams, transaction history
- Content Performance: Engagement with various content types
- Message Analytics: Response times, engagement rates
3. Operational Data
System operational information:- System Logs: Application events and errors
- Audit Trails: Record of significant user actions
- Performance Metrics: System response times and health
- Task Queue Status: Status of background processing jobs
Data Storage Solutions
The system uses multiple storage solutions optimized for different data types:PostgreSQL (Supabase)
Primary relational database for structured data:- User accounts and profiles
- Subscription and billing records
- Creator analytics metrics
- System configuration
Object Storage
Binary and large object storage:- User avatars and images
- Exported reports and data files
- System backups
- Temporary processing files
Redis Cache
In-memory cache for high-speed data access:- Session data
- Frequently accessed metrics
- API response caching
- Rate limiting information
Data Processing
OnlyAutomator implements several data processing mechanisms:Real-time Processing
Immediate data handling for user-facing features:- Analytics dashboard updates
- Notification generation
- User action responses
Batch Processing
Scheduled tasks for intensive operations:- Daily analytics aggregation
- Report generation
- System maintenance
- Data archiving
Event-driven Processing
Processing triggered by specific events:- Webhook responses
- Subscription changes
- External API updates
- System alerts
Data Security
Comprehensive security measures protect all data:Encryption
Multiple encryption layers:- Data at rest: All stored data encrypted
- Data in transit: TLS/SSL for all communications
- Field-level encryption: Extra protection for sensitive data
- Encryption key management: Secure key rotation and storage
Access Control
Robust permissions system:- Role-based access: Appropriate permissions per user type
- Row-level security: Data access limited to owners and authorized users
- API authentication: Secure token-based API access
- Admin audit logs: Tracking of all administrative actions
Compliance Features
Tools to meet regulatory requirements:- Data export: Complete data export for user requests
- Data deletion: Comprehensive removal capabilities
- Privacy controls: Granular user consent management
- Retention policies: Configurable data retention periods
Data Integration
The system connects with multiple data sources:OnlyFans Integration
Primary data source integration:- Credential management: Secure storage of access tokens
- Data synchronization: Regular updates from OnlyFans API/scraping
- Change detection: Identification of significant changes
- Error handling: Robust handling of API changes and limitations
Third-party Sources
Additional integrations for enhanced functionality:- Payment processors: Transaction data from Stripe, PayPal
- Marketing platforms: Campaign data from email and ad services
- Social media: Basic metrics from connected social accounts
- Analytics services: Enhanced metrics from Google Analytics, etc.
Data Governance
Policies ensuring proper data management:Data Quality
Ensuring accurate and reliable data:- Validation rules: Data format and content verification
- Consistency checks: Cross-reference verification
- Error correction: Automated and manual correction workflows
- Data completeness: Identification of missing information
Lifecycle Management
Managing data throughout its lifetime:- Creation policies: Standards for data entry and generation
- Retention rules: Time-based data preservation policies
- Archiving procedures: Moving older data to long-term storage
- Deletion workflows: Secure data removal when appropriate
Disaster Recovery
Ensuring data survivability:- Regular backups: Automated daily and weekly backups
- Point-in-time recovery: Ability to restore to specific moments
- Geographic redundancy: Data stored in multiple physical locations
- Recovery testing: Regular validation of restoration procedures