Base code
This commit is contained in:
Kunthawat Greethong
258
docs-site/docs/user-journeys/developers/advanced-usage.md
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docs-site/docs/user-journeys/developers/advanced-usage.md
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# Advanced Usage - Developers
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This guide covers advanced ALwrity features and techniques for developers who want to build sophisticated content generation and management systems.
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## 🎯 What You'll Accomplish
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By the end of this guide, you'll have:
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- ✅ Implemented advanced ALwrity features in your applications
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- ✅ Built custom AI workflows and automation
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- ✅ Optimized performance and scalability
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- ✅ Created enterprise-grade content management systems
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## ⏱️ Time Required: 2-3 hours
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## 🚀 Advanced API Features
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### Custom AI Model Integration
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#### Fine-tuned Models
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ALwrity allows you to create custom AI models for specific use cases:
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**Creating Custom Models**
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- **Training Data**: Upload your specific content examples
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- **Model Types**: Content generation, SEO analysis, research
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- **Performance Tuning**: Optimize parameters for your use case
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**Benefits**
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- **Better Accuracy**: Models trained on your specific content
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- **Brand Voice**: Maintain consistent tone and style
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- **Domain Expertise**: Specialized knowledge for your industry
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#### Model Performance Optimization
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- **Parameter Tuning**: Adjust temperature, top_p, and max_tokens
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- **A/B Testing**: Compare different model configurations
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- **Performance Metrics**: Track quality scores and user satisfaction
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### Advanced Content Generation
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#### Multi-Modal Content Generation
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Create content with multiple media types:
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**Supported Media Types**
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- **Text Content**: Blog posts, articles, social media posts
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- **Images**: AI-generated images for your content
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- **Videos**: Video scripts and descriptions
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- **Audio**: Podcast scripts and voice-over content
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**Use Cases**
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- **Rich Blog Posts**: Text + images + videos
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- **Social Media Campaigns**: Posts + visuals + stories
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- **Marketing Materials**: Comprehensive content packages
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#### Content Personalization Engine
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Build personalized content experiences:
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**User Profiling**
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- **Preferences**: Tone, length, style preferences
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- **Behavior Data**: Engagement patterns and content history
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- **Demographics**: Target audience characteristics
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**Personalization Features**
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- **Dynamic Content**: Adjust content based on user profile
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- **A/B Testing**: Test different content variations
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- **Performance Tracking**: Monitor personalization effectiveness
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### Advanced SEO and Analytics
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#### Real-time SEO Optimization
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Optimize content in real-time based on performance data:
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**SEO Features**
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- **Keyword Density**: Automatic keyword optimization
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- **Content Length**: Adjust length based on performance
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- **Readability**: Improve content readability scores
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- **Meta Tags**: Generate optimized titles and descriptions
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**Analytics Integration**
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- **Performance Tracking**: Monitor content performance
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- **User Behavior**: Analyze how users interact with content
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- **Conversion Tracking**: Track content-to-conversion rates
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#### Advanced Analytics Dashboard
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Comprehensive reporting and insights:
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**Metrics Tracked**
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- **Content Performance**: Views, engagement, shares
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- **SEO Rankings**: Search engine position tracking
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- **User Engagement**: Time on page, bounce rate
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- **Conversion Rates**: Content-to-action conversion
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**Insights Generated**
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- **Performance Insights**: What's working well
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- **Optimization Suggestions**: How to improve content
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- **Trend Analysis**: Performance patterns over time
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## 🚀 Performance Optimization
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### Caching and CDN Integration
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Improve performance with intelligent caching:
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**Caching Strategies**
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- **API Response Caching**: Cache frequently requested data
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- **Content Caching**: Store generated content for reuse
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- **CDN Integration**: Distribute content globally
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**Implementation**
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- **Redis Caching**: Fast in-memory data storage
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- **Browser Caching**: Client-side content caching
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- **CDN Distribution**: Global content delivery
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### Asynchronous Processing
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Handle multiple requests efficiently:
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**Async Features**
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- **Concurrent Requests**: Process multiple content requests
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- **Background Processing**: Handle long-running tasks
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- **Queue Management**: Manage request queues efficiently
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**Benefits**
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- **Better Performance**: Handle more requests simultaneously
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- **Improved User Experience**: Faster response times
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- **Scalability**: Handle traffic spikes effectively
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## 🎯 Enterprise Features
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### Multi-tenant Architecture
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Support multiple organizations:
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**Tenant Management**
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- **Isolated Data**: Separate data for each tenant
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- **Custom Configuration**: Tenant-specific settings
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- **Resource Allocation**: Manage resources per tenant
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**Use Cases**
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- **SaaS Platforms**: Multiple customers on one platform
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- **Agency Management**: Manage multiple client accounts
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- **Enterprise Deployments**: Department-specific configurations
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|
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### Advanced Security Features
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Enterprise-grade security:
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**Security Features**
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- **Data Encryption**: Encrypt sensitive data
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- **Access Control**: Role-based permissions
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- **Audit Logging**: Track all user actions
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- **Compliance**: GDPR, SOC 2, ISO 27001 compliance
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**Implementation**
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- **JWT Authentication**: Secure token-based auth
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- **API Rate Limiting**: Prevent abuse and attacks
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- **Input Validation**: Sanitize all user inputs
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## 📊 Testing and Quality Assurance
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### Advanced Testing Strategies
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Comprehensive testing approaches:
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**Testing Types**
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- **Unit Testing**: Test individual components
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- **Integration Testing**: Test API integrations
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- **Performance Testing**: Load and stress testing
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- **Security Testing**: Vulnerability assessment
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**Best Practices**
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- **Automated Testing**: Continuous testing in CI/CD
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- **Test Coverage**: Ensure comprehensive test coverage
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- **Performance Monitoring**: Track performance metrics
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### Quality Assurance
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Maintain high content quality:
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**Quality Metrics**
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- **Content Quality**: AI-powered quality assessment
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- **User Satisfaction**: Feedback and rating systems
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- **Performance Metrics**: Engagement and conversion rates
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**Quality Control**
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- **Automated Review**: AI-powered content review
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- **Human Oversight**: Manual quality checks
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- **Feedback Loops**: Continuous improvement processes
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## 🚀 Monitoring and Analytics
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### Application Monitoring
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Track system performance:
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**Monitoring Tools**
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- **Performance Metrics**: Response times, throughput
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- **Error Tracking**: Monitor and alert on errors
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- **Resource Usage**: CPU, memory, disk usage
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**Alerting**
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- **Performance Alerts**: Notify on performance issues
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- **Error Alerts**: Immediate error notifications
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- **Capacity Alerts**: Resource usage warnings
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### Business Analytics
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Track business metrics:
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**Key Metrics**
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- **Content Performance**: Views, engagement, conversions
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- **User Behavior**: How users interact with content
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- **ROI Tracking**: Return on investment for content
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**Reporting**
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- **Real-time Dashboards**: Live performance monitoring
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- **Scheduled Reports**: Automated performance reports
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- **Custom Analytics**: Tailored metrics for your business
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## 🆘 Advanced Troubleshooting
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### Performance Debugging
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Identify and fix performance issues:
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**Debugging Tools**
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- **Performance Profiling**: Identify bottlenecks
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- **Memory Analysis**: Track memory usage
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- **Database Optimization**: Query performance analysis
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**Common Issues**
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- **Slow API Responses**: Optimize database queries
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- **High Memory Usage**: Implement caching strategies
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- **Rate Limiting**: Optimize API usage patterns
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### Security Issues
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Address security concerns:
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**Security Monitoring**
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- **Threat Detection**: Monitor for security threats
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- **Access Logging**: Track user access patterns
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- **Vulnerability Scanning**: Regular security assessments
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**Incident Response**
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- **Security Alerts**: Immediate threat notifications
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- **Response Procedures**: Documented incident response
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- **Recovery Plans**: Business continuity planning
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## 🎯 Next Steps
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### Immediate Actions (This Week)
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1. **Implement advanced features** in your application
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2. **Set up monitoring and analytics** for performance tracking
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3. **Create custom workflows** using advanced API features
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4. **Test and optimize** your implementation
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### This Month
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1. **Build enterprise-grade features** like multi-tenancy and security
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2. **Optimize performance** with caching and async processing
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3. **Create comprehensive testing** strategies
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4. **Implement monitoring and alerting** for production systems
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## 🚀 Ready for More?
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**[Learn about deployment →](deployment.md)**
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---
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*Questions? [Join our community](https://github.com/AJaySi/ALwrity/discussions) or [contact support](mailto:support@alwrity.com)!*
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docs-site/docs/user-journeys/developers/api-quickstart.md
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# Self-Host Setup - Developers
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Get ALwrity running on your local machine in just 2 hours. This guide will help you set up the development environment and understand the self-hosted architecture.
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## 🎯 What You'll Accomplish
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By the end of this guide, you'll have:
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- ✅ ALwrity running locally on your machine
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- ✅ Backend API server accessible at localhost:8000
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- ✅ Frontend dashboard accessible at localhost:3000
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- ✅ Configured API keys for AI services
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- ✅ Made your first API call to test the setup
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## ⏱️ Time Required: 2 hours
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## 🚀 Step-by-Step Setup
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### Step 1: Prerequisites Check (10 minutes)
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Before we start, ensure you have the following installed:
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#### Required Software
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- **Python 3.8+**: [Download Python](https://www.python.org/downloads/)
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- **Node.js 18+**: [Download Node.js](https://nodejs.org/)
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- **Git**: [Download Git](https://git-scm.com/downloads)
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#### Verify Installation
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```bash
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# Check Python version
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python --version
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# Should show Python 3.8 or higher
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# Check Node.js version
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node --version
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# Should show v18 or higher
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# Check Git
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git --version
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# Should show Git version
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```
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### Step 2: Clone ALwrity Repository (5 minutes)
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1. **Clone the repository**:
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```bash
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git clone https://github.com/AJaySi/ALwrity.git
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cd ALwrity
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```
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2. **Verify the download**:
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You should see folders: `backend`, `frontend`, `docs`, etc.
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3. **Check the structure**:
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```bash
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ls -la
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# Should show backend/, frontend/, docs/, etc.
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```
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### Step 3: Backend Setup (30 minutes)
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#### Install Python Dependencies
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```bash
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cd backend
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pip install -r requirements.txt
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```
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#### Configure Environment Variables
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1. **Copy the template**:
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```bash
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cp env_template.txt .env
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```
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2. **Edit the `.env` file** with your API keys:
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```bash
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# Required API Keys
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GEMINI_API_KEY=your_gemini_api_key_here
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OPENAI_API_KEY=your_openai_api_key_here
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# Optional but recommended
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TAVILY_API_KEY=your_tavily_api_key_here
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SERPER_API_KEY=your_serper_api_key_here
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|
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# Database (default is fine)
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DATABASE_URL=sqlite:///./alwrity.db
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# Security
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SECRET_KEY=your_secret_key_here
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```
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#### Get Your API Keys
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**Gemini API Key** (Required):
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1. Go to [Google AI Studio](https://aistudio.google.com/app/apikey)
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2. Create a new API key
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3. Copy and paste into your `.env` file
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|
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**OpenAI API Key** (Required):
|
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1. Go to [OpenAI Platform](https://platform.openai.com/api-keys)
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2. Create a new API key
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3. Copy and paste into your `.env` file
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|
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#### Start the Backend Server
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```bash
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python start_alwrity_backend.py
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```
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|
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You should see:
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```
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INFO: Started server process
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INFO: Waiting for application startup.
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INFO: Application startup complete.
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INFO: Uvicorn running on http://127.0.0.1:8000
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```
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### Step 4: Make Your First API Call (10 minutes)
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|
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#### Option A: Using cURL
|
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```bash
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# Test API connection
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curl -X GET "https://api.alwrity.com/v1/health" \
|
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-H "Authorization: Bearer YOUR_API_KEY" \
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-H "Content-Type: application/json"
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```
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#### Option B: Using Python
|
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```python
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import requests
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# Set up your API key
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API_KEY = "your_api_key_here"
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BASE_URL = "https://api.alwrity.com/v1"
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# Test API connection
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response = requests.get(
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f"{BASE_URL}/health",
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headers={
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"Authorization": f"Bearer {API_KEY}",
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"Content-Type": "application/json"
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}
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)
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print(f"Status: {response.status_code}")
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print(f"Response: {response.json()}")
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```
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#### Option C: Using JavaScript
|
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```javascript
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// Set up your API key
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const API_KEY = "your_api_key_here";
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const BASE_URL = "https://api.alwrity.com/v1";
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|
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// Test API connection
|
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fetch(`${BASE_URL}/health`, {
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method: "GET",
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headers: {
|
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"Authorization": `Bearer ${API_KEY}`,
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"Content-Type": "application/json"
|
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}
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})
|
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.then(response => response.json())
|
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.then(data => console.log(data))
|
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.catch(error => console.error("Error:", error));
|
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```
|
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|
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### Step 5: Create Your First Content (8 minutes)
|
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|
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#### Generate a Blog Post
|
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|
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```python
|
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import requests
|
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|
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# Set up your API key
|
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API_KEY = "your_api_key_here"
|
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BASE_URL = "https://api.alwrity.com/v1"
|
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|
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# Create content request
|
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content_request = {
|
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"type": "blog_post",
|
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"topic": "Getting Started with ALwrity API",
|
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"key_points": [
|
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"What is ALwrity API",
|
||||
"How to get started",
|
||||
"Basic API usage",
|
||||
"Next steps"
|
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],
|
||||
"tone": "professional",
|
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"length": "medium",
|
||||
"seo_optimized": True
|
||||
}
|
||||
|
||||
# Make API call
|
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response = requests.post(
|
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f"{BASE_URL}/content/generate",
|
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headers={
|
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"Authorization": f"Bearer {API_KEY}",
|
||||
"Content-Type": "application/json"
|
||||
},
|
||||
json=content_request
|
||||
)
|
||||
|
||||
if response.status_code == 200:
|
||||
content = response.json()
|
||||
print("Generated content:")
|
||||
print(content["data"]["content"])
|
||||
else:
|
||||
print(f"Error: {response.status_code}")
|
||||
print(response.json())
|
||||
```
|
||||
|
||||
#### Generate Social Media Content
|
||||
|
||||
```python
|
||||
# Create social media content request
|
||||
social_request = {
|
||||
"type": "social_media",
|
||||
"platform": "linkedin",
|
||||
"topic": "ALwrity API Launch",
|
||||
"tone": "professional",
|
||||
"include_hashtags": True,
|
||||
"include_cta": True
|
||||
}
|
||||
|
||||
# Make API call
|
||||
response = requests.post(
|
||||
f"{BASE_URL}/content/generate",
|
||||
headers={
|
||||
"Authorization": f"Bearer {API_KEY}",
|
||||
"Content-Type": "application/json"
|
||||
},
|
||||
json=social_request
|
||||
)
|
||||
|
||||
if response.status_code == 200:
|
||||
content = response.json()
|
||||
print("Generated social media content:")
|
||||
print(content["data"]["content"])
|
||||
else:
|
||||
print(f"Error: {response.status_code}")
|
||||
print(response.json())
|
||||
```
|
||||
|
||||
## 🔧 API Structure Overview
|
||||
|
||||
### Base URL
|
||||
```
|
||||
https://api.alwrity.com/v1
|
||||
```
|
||||
|
||||
### Authentication
|
||||
All API requests require authentication using your API key:
|
||||
|
||||
```bash
|
||||
Authorization: Bearer YOUR_API_KEY
|
||||
```
|
||||
|
||||
### Common Endpoints
|
||||
|
||||
#### Content Generation
|
||||
```bash
|
||||
POST /content/generate
|
||||
POST /content/generate/batch
|
||||
GET /content/{content_id}
|
||||
PUT /content/{content_id}
|
||||
DELETE /content/{content_id}
|
||||
```
|
||||
|
||||
#### Persona Management
|
||||
```bash
|
||||
GET /personas
|
||||
POST /personas
|
||||
GET /personas/{persona_id}
|
||||
PUT /personas/{persona_id}
|
||||
DELETE /personas/{persona_id}
|
||||
```
|
||||
|
||||
#### Analytics
|
||||
```bash
|
||||
GET /analytics/usage
|
||||
GET /analytics/performance
|
||||
GET /analytics/content/{content_id}
|
||||
```
|
||||
|
||||
### Response Format
|
||||
|
||||
All API responses follow this format:
|
||||
|
||||
```json
|
||||
{
|
||||
"success": true,
|
||||
"data": {
|
||||
// Response data here
|
||||
},
|
||||
"meta": {
|
||||
"request_id": "req_1234567890",
|
||||
"timestamp": "2024-01-15T10:30:00Z",
|
||||
"rate_limit": {
|
||||
"limit": 1000,
|
||||
"remaining": 999,
|
||||
"reset": 1642248600
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## 🎯 Common Use Cases
|
||||
|
||||
### 1. Automated Blog Post Generation
|
||||
|
||||
```python
|
||||
def generate_blog_post(topic, key_points):
|
||||
request_data = {
|
||||
"type": "blog_post",
|
||||
"topic": topic,
|
||||
"key_points": key_points,
|
||||
"tone": "professional",
|
||||
"length": "long",
|
||||
"seo_optimized": True,
|
||||
"include_research": True
|
||||
}
|
||||
|
||||
response = requests.post(
|
||||
f"{BASE_URL}/content/generate",
|
||||
headers={"Authorization": f"Bearer {API_KEY}"},
|
||||
json=request_data
|
||||
)
|
||||
|
||||
return response.json()["data"]["content"]
|
||||
```
|
||||
|
||||
### 2. Social Media Content Automation
|
||||
|
||||
```python
|
||||
def generate_social_content(platform, topic):
|
||||
request_data = {
|
||||
"type": "social_media",
|
||||
"platform": platform,
|
||||
"topic": topic,
|
||||
"tone": "engaging",
|
||||
"include_hashtags": True,
|
||||
"include_cta": True
|
||||
}
|
||||
|
||||
response = requests.post(
|
||||
f"{BASE_URL}/content/generate",
|
||||
headers={"Authorization": f"Bearer {API_KEY}"},
|
||||
json=request_data
|
||||
)
|
||||
|
||||
return response.json()["data"]["content"]
|
||||
```
|
||||
|
||||
### 3. Batch Content Generation
|
||||
|
||||
```python
|
||||
def generate_multiple_posts(topics):
|
||||
request_data = {
|
||||
"type": "blog_post",
|
||||
"topics": topics,
|
||||
"tone": "professional",
|
||||
"length": "medium",
|
||||
"seo_optimized": True
|
||||
}
|
||||
|
||||
response = requests.post(
|
||||
f"{BASE_URL}/content/generate/batch",
|
||||
headers={"Authorization": f"Bearer {API_KEY}"},
|
||||
json=request_data
|
||||
)
|
||||
|
||||
return response.json()["data"]["content"]
|
||||
```
|
||||
|
||||
## 🚨 Error Handling
|
||||
|
||||
### Common Error Codes
|
||||
|
||||
```python
|
||||
def handle_api_response(response):
|
||||
if response.status_code == 200:
|
||||
return response.json()["data"]
|
||||
elif response.status_code == 401:
|
||||
raise Exception("Invalid API key")
|
||||
elif response.status_code == 429:
|
||||
raise Exception("Rate limit exceeded")
|
||||
elif response.status_code == 400:
|
||||
raise Exception(f"Bad request: {response.json()['error']}")
|
||||
elif response.status_code == 500:
|
||||
raise Exception("Internal server error")
|
||||
else:
|
||||
raise Exception(f"Unexpected error: {response.status_code}")
|
||||
```
|
||||
|
||||
### Rate Limiting
|
||||
|
||||
ALwrity API has rate limits to ensure fair usage:
|
||||
|
||||
- **Free tier**: 100 requests per hour
|
||||
- **Pro tier**: 1,000 requests per hour
|
||||
- **Enterprise**: Custom limits
|
||||
|
||||
```python
|
||||
import time
|
||||
|
||||
def make_api_call_with_retry(request_data, max_retries=3):
|
||||
for attempt in range(max_retries):
|
||||
response = requests.post(
|
||||
f"{BASE_URL}/content/generate",
|
||||
headers={"Authorization": f"Bearer {API_KEY}"},
|
||||
json=request_data
|
||||
)
|
||||
|
||||
if response.status_code == 200:
|
||||
return response.json()
|
||||
elif response.status_code == 429:
|
||||
# Rate limited, wait and retry
|
||||
time.sleep(60)
|
||||
continue
|
||||
else:
|
||||
raise Exception(f"API error: {response.status_code}")
|
||||
|
||||
raise Exception("Max retries exceeded")
|
||||
```
|
||||
|
||||
## 🎉 Congratulations!
|
||||
|
||||
You've successfully:
|
||||
- ✅ Set up your developer account
|
||||
- ✅ Obtained your API keys
|
||||
- ✅ Made your first API call
|
||||
- ✅ Generated content via API
|
||||
- ✅ Understood the API structure
|
||||
|
||||
## 🚀 Next Steps
|
||||
|
||||
### Immediate Actions (Today)
|
||||
1. **[Build your first integration](integration-guide.md)** - Create a complete integration
|
||||
2. **Test different content types** - Try blog posts, social media, emails
|
||||
3. **Explore advanced features** - Use personas, analytics, webhooks
|
||||
4. **Join the developer community** - Connect with other developers
|
||||
|
||||
### This Week
|
||||
1. **[Implement advanced features](advanced-usage.md)** - Use webhooks and real-time updates
|
||||
2. **Build error handling** - Implement robust error handling
|
||||
3. **Add monitoring** - Track API usage and performance
|
||||
4. **Test in staging** - Deploy to a staging environment
|
||||
|
||||
### This Month
|
||||
1. **[Deploy to production](deployment.md)** - Deploy your integration
|
||||
2. **[Optimize performance](performance-optimization.md)** - Improve speed and efficiency
|
||||
3. **[Scale your integration](scaling.md)** - Handle more users and content
|
||||
4. **[Contribute to the community](contributing.md)** - Share your integrations
|
||||
|
||||
## 🆘 Need Help?
|
||||
|
||||
### Common Questions
|
||||
|
||||
**Q: How do I handle API errors?**
|
||||
A: Check the status code and error message. Implement retry logic for rate limits and temporary errors.
|
||||
|
||||
**Q: What's the difference between development and production API keys?**
|
||||
A: Development keys have lower rate limits and are for testing. Production keys are for live applications.
|
||||
|
||||
**Q: How do I monitor my API usage?**
|
||||
A: Use the `/analytics/usage` endpoint to track your API usage and remaining quota.
|
||||
|
||||
**Q: Can I use webhooks for real-time updates?**
|
||||
A: Yes! ALwrity supports webhooks for real-time notifications about content generation and updates.
|
||||
|
||||
### Getting Support
|
||||
- **[API Documentation](https://docs.alwrity.com/api)** - Complete API reference
|
||||
- **[Code Examples](https://github.com/alwrity/examples)** - Sample integrations
|
||||
- **[Developer Community](https://github.com/AJaySi/ALwrity/discussions)** - Ask questions and get help
|
||||
- **[Email Support](mailto:developers@alwrity.com)** - Get personalized help
|
||||
|
||||
## 🎯 Success Tips
|
||||
|
||||
### For Best Results
|
||||
1. **Use appropriate rate limiting** - Don't exceed your quota
|
||||
2. **Implement error handling** - Handle all possible error cases
|
||||
3. **Cache responses** - Cache content to reduce API calls
|
||||
4. **Monitor usage** - Track your API usage and costs
|
||||
|
||||
### Common Mistakes to Avoid
|
||||
1. **Don't hardcode API keys** - Use environment variables
|
||||
2. **Don't ignore rate limits** - Implement proper rate limiting
|
||||
3. **Don't skip error handling** - Always handle API errors
|
||||
4. **Don't forget to test** - Test your integration thoroughly
|
||||
|
||||
## 🎉 Ready for More?
|
||||
|
||||
**[Build your first integration →](integration-guide.md)**
|
||||
|
||||
---
|
||||
|
||||
*Questions? [Join our developer community](https://github.com/AJaySi/ALwrity/discussions) or [contact developer support](mailto:developers@alwrity.com)!*
|
||||
365
docs-site/docs/user-journeys/developers/codebase-exploration.md
Normal file
365
docs-site/docs/user-journeys/developers/codebase-exploration.md
Normal file
@@ -0,0 +1,365 @@
|
||||
# Codebase Exploration for Developers
|
||||
|
||||
## 🎯 Overview
|
||||
|
||||
This guide helps developers understand and navigate the ALwrity codebase. You'll learn the architecture, key components, and how to effectively explore and contribute to the project.
|
||||
|
||||
## 🚀 What You'll Achieve
|
||||
|
||||
### Codebase Understanding
|
||||
- **Architecture Overview**: Understand the overall system architecture
|
||||
- **Component Navigation**: Navigate key components and modules
|
||||
- **Code Organization**: Understand code organization and patterns
|
||||
- **Development Workflow**: Learn the development workflow and practices
|
||||
|
||||
### Contribution Readiness
|
||||
- **Code Standards**: Understand coding standards and conventions
|
||||
- **Testing Practices**: Learn testing practices and frameworks
|
||||
- **Documentation**: Understand documentation standards
|
||||
- **Contribution Process**: Learn how to contribute effectively
|
||||
|
||||
## 📋 Project Structure
|
||||
|
||||
### Repository Organization
|
||||
```
|
||||
alwrity/
|
||||
├── backend/ # Python FastAPI backend
|
||||
│ ├── api/ # API endpoints and routes
|
||||
│ ├── models/ # Database models
|
||||
│ ├── services/ # Business logic services
|
||||
│ ├── middleware/ # Custom middleware
|
||||
│ └── utils/ # Utility functions
|
||||
├── frontend/ # React TypeScript frontend
|
||||
│ ├── src/
|
||||
│ │ ├── components/ # React components
|
||||
│ │ ├── hooks/ # Custom React hooks
|
||||
│ │ ├── services/ # API services
|
||||
│ │ └── utils/ # Frontend utilities
|
||||
├── docs/ # Project documentation
|
||||
└── tests/ # Test suites
|
||||
```
|
||||
|
||||
### Backend Architecture
|
||||
**FastAPI Application**:
|
||||
- **Main App**: `backend/app.py` - Main FastAPI application
|
||||
- **Routers**: `backend/routers/` - API route modules
|
||||
- **Models**: `backend/models/` - Database and Pydantic models
|
||||
- **Services**: `backend/services/` - Business logic layer
|
||||
|
||||
**Key Components**:
|
||||
- **SEO Dashboard**: SEO analysis and optimization tools
|
||||
- **Blog Writer**: AI-powered content creation
|
||||
- **LinkedIn Writer**: LinkedIn content generation
|
||||
- **Content Planning**: Content strategy and planning tools
|
||||
|
||||
### Frontend Architecture
|
||||
**React Application**:
|
||||
- **Components**: Modular React components
|
||||
- **State Management**: React hooks and context
|
||||
- **Routing**: React Router for navigation
|
||||
- **Styling**: CSS modules and styled components
|
||||
|
||||
**Key Features**:
|
||||
- **SEO Dashboard UI**: SEO analysis interface
|
||||
- **Blog Writer UI**: Content creation interface
|
||||
- **Content Planning UI**: Strategy planning interface
|
||||
- **User Management**: Authentication and user management
|
||||
|
||||
## 🛠️ Key Components
|
||||
|
||||
### Backend Components
|
||||
|
||||
#### API Layer (`backend/api/`)
|
||||
**SEO Dashboard API**:
|
||||
```python
|
||||
# backend/api/seo_dashboard.py
|
||||
@app.get("/api/seo-dashboard/data")
|
||||
async def get_seo_dashboard_data():
|
||||
"""Get complete SEO dashboard data."""
|
||||
return await seo_service.get_dashboard_data()
|
||||
```
|
||||
|
||||
**Blog Writer API**:
|
||||
```python
|
||||
# backend/api/blog_writer/router.py
|
||||
@router.post("/research/start")
|
||||
async def start_research(request: BlogResearchRequest):
|
||||
"""Start research operation."""
|
||||
return await research_service.start_research(request)
|
||||
```
|
||||
|
||||
#### Models (`backend/models/`)
|
||||
**Database Models**:
|
||||
```python
|
||||
# backend/models/user.py
|
||||
class User(BaseModel):
|
||||
id: int
|
||||
email: str
|
||||
created_at: datetime
|
||||
subscription_tier: SubscriptionTier
|
||||
```
|
||||
|
||||
**Pydantic Models**:
|
||||
```python
|
||||
# backend/models/requests.py
|
||||
class SEOAnalysisRequest(BaseModel):
|
||||
url: str
|
||||
target_keywords: List[str]
|
||||
analysis_type: str
|
||||
```
|
||||
|
||||
#### Services (`backend/services/`)
|
||||
**Business Logic**:
|
||||
```python
|
||||
# backend/services/seo_analyzer.py
|
||||
class SEOAnalyzer:
|
||||
async def analyze_url(self, url: str) -> SEOAnalysis:
|
||||
"""Analyze URL for SEO performance."""
|
||||
# Implementation here
|
||||
```
|
||||
|
||||
### Frontend Components
|
||||
|
||||
#### React Components (`frontend/src/components/`)
|
||||
**SEO Dashboard**:
|
||||
```typescript
|
||||
// frontend/src/components/SEODashboard/SEODashboard.tsx
|
||||
export const SEODashboard: React.FC = () => {
|
||||
const [dashboardData, setDashboardData] = useState<SEODashboardData>();
|
||||
// Component implementation
|
||||
};
|
||||
```
|
||||
|
||||
**Blog Writer**:
|
||||
```typescript
|
||||
// frontend/src/components/BlogWriter/BlogWriter.tsx
|
||||
export const BlogWriter: React.FC = () => {
|
||||
const { research, outline, sections } = useBlogWriterState();
|
||||
// Component implementation
|
||||
};
|
||||
```
|
||||
|
||||
#### Custom Hooks (`frontend/src/hooks/`)
|
||||
**API Hooks**:
|
||||
```typescript
|
||||
// frontend/src/hooks/useSEOData.ts
|
||||
export const useSEOData = () => {
|
||||
const [data, setData] = useState<SEODashboardData>();
|
||||
// Hook implementation
|
||||
};
|
||||
```
|
||||
|
||||
## 📊 Development Workflow
|
||||
|
||||
### Getting Started
|
||||
**Development Setup**:
|
||||
```bash
|
||||
# Clone repository
|
||||
git clone https://github.com/your-org/alwrity.git
|
||||
cd alwrity
|
||||
|
||||
# Backend setup
|
||||
cd backend
|
||||
python -m venv venv
|
||||
source venv/bin/activate # or venv\Scripts\activate on Windows
|
||||
pip install -r requirements.txt
|
||||
|
||||
# Frontend setup
|
||||
cd ../frontend
|
||||
npm install
|
||||
```
|
||||
|
||||
**Running Development Servers**:
|
||||
```bash
|
||||
# Backend (Terminal 1)
|
||||
cd backend
|
||||
uvicorn app:app --reload --host 0.0.0.0 --port 8000
|
||||
|
||||
# Frontend (Terminal 2)
|
||||
cd frontend
|
||||
npm start
|
||||
```
|
||||
|
||||
### Code Standards
|
||||
**Python Standards**:
|
||||
- **PEP 8**: Python style guide compliance
|
||||
- **Type Hints**: Use type hints for all functions
|
||||
- **Docstrings**: Document all functions and classes
|
||||
- **Black**: Code formatting with Black
|
||||
|
||||
**TypeScript Standards**:
|
||||
- **ESLint**: Code linting and quality
|
||||
- **Prettier**: Code formatting
|
||||
- **TypeScript Strict**: Strict type checking
|
||||
- **Component Documentation**: JSDoc for components
|
||||
|
||||
### Testing Practices
|
||||
**Backend Testing**:
|
||||
```python
|
||||
# tests/test_seo_dashboard.py
|
||||
import pytest
|
||||
from fastapi.testclient import TestClient
|
||||
|
||||
def test_seo_dashboard_data(client: TestClient):
|
||||
response = client.get("/api/seo-dashboard/data")
|
||||
assert response.status_code == 200
|
||||
```
|
||||
|
||||
**Frontend Testing**:
|
||||
```typescript
|
||||
// src/components/__tests__/SEODashboard.test.tsx
|
||||
import { render, screen } from '@testing-library/react';
|
||||
import { SEODashboard } from '../SEODashboard';
|
||||
|
||||
test('renders SEO dashboard', () => {
|
||||
render(<SEODashboard />);
|
||||
expect(screen.getByText('SEO Dashboard')).toBeInTheDocument();
|
||||
});
|
||||
```
|
||||
|
||||
## 🎯 Key Features Deep Dive
|
||||
|
||||
### SEO Dashboard
|
||||
**Architecture**:
|
||||
- **Backend**: FastAPI endpoints for SEO analysis
|
||||
- **Frontend**: React components for data visualization
|
||||
- **Services**: SEO analysis algorithms and Google Search Console integration
|
||||
|
||||
**Key Files**:
|
||||
- `backend/api/seo_dashboard.py` - API endpoints
|
||||
- `backend/services/seo_analyzer.py` - SEO analysis logic
|
||||
- `frontend/src/components/SEODashboard/` - UI components
|
||||
|
||||
### Blog Writer
|
||||
**Architecture**:
|
||||
- **Research**: Web research and fact-checking
|
||||
- **Outline Generation**: AI-powered content structure
|
||||
- **Content Generation**: Section-by-section content creation
|
||||
- **SEO Integration**: Built-in SEO optimization
|
||||
|
||||
**Key Files**:
|
||||
- `backend/api/blog_writer/` - Blog writer API
|
||||
- `backend/services/content_generator.py` - Content generation logic
|
||||
- `frontend/src/components/BlogWriter/` - Content creation UI
|
||||
|
||||
### Content Planning
|
||||
**Architecture**:
|
||||
- **Strategy Development**: Content strategy planning
|
||||
- **Calendar Management**: Content calendar and scheduling
|
||||
- **Persona Management**: User persona development
|
||||
- **Analytics Integration**: Performance tracking
|
||||
|
||||
## 🛠️ Development Tools
|
||||
|
||||
### Backend Tools
|
||||
**Development Tools**:
|
||||
- **FastAPI**: Web framework with automatic API documentation
|
||||
- **SQLAlchemy**: Database ORM and migrations
|
||||
- **Pydantic**: Data validation and serialization
|
||||
- **Alembic**: Database migration management
|
||||
|
||||
**Testing Tools**:
|
||||
- **pytest**: Testing framework
|
||||
- **pytest-asyncio**: Async testing support
|
||||
- **httpx**: HTTP client for testing
|
||||
- **factory_boy**: Test data factories
|
||||
|
||||
### Frontend Tools
|
||||
**Development Tools**:
|
||||
- **React**: UI library with hooks
|
||||
- **TypeScript**: Type-safe JavaScript
|
||||
- **React Router**: Client-side routing
|
||||
- **Axios**: HTTP client for API calls
|
||||
|
||||
**Testing Tools**:
|
||||
- **Jest**: Testing framework
|
||||
- **React Testing Library**: Component testing
|
||||
- **MSW**: API mocking
|
||||
- **Cypress**: End-to-end testing
|
||||
|
||||
## 📈 Contributing Guidelines
|
||||
|
||||
### Code Contribution Process
|
||||
**Branch Strategy**:
|
||||
```bash
|
||||
# Create feature branch
|
||||
git checkout -b feature/new-feature
|
||||
|
||||
# Make changes and commit
|
||||
git add .
|
||||
git commit -m "feat: add new feature"
|
||||
|
||||
# Push and create PR
|
||||
git push origin feature/new-feature
|
||||
```
|
||||
|
||||
**Pull Request Process**:
|
||||
1. **Code Review**: All code must be reviewed
|
||||
2. **Testing**: All tests must pass
|
||||
3. **Documentation**: Update documentation as needed
|
||||
4. **CI/CD**: Continuous integration must pass
|
||||
|
||||
### Documentation Standards
|
||||
**Code Documentation**:
|
||||
- **Docstrings**: Document all functions and classes
|
||||
- **Type Hints**: Use type hints for clarity
|
||||
- **Comments**: Explain complex logic
|
||||
- **README**: Keep README files updated
|
||||
|
||||
**API Documentation**:
|
||||
- **OpenAPI**: Automatic API documentation
|
||||
- **Examples**: Provide usage examples
|
||||
- **Error Handling**: Document error responses
|
||||
- **Authentication**: Document auth requirements
|
||||
|
||||
## 🎯 Advanced Topics
|
||||
|
||||
### Performance Optimization
|
||||
**Backend Optimization**:
|
||||
- **Database Queries**: Optimize database queries
|
||||
- **Caching**: Implement caching strategies
|
||||
- **Async Operations**: Use async/await effectively
|
||||
- **Connection Pooling**: Optimize database connections
|
||||
|
||||
**Frontend Optimization**:
|
||||
- **Bundle Optimization**: Optimize JavaScript bundles
|
||||
- **Lazy Loading**: Implement lazy loading for components
|
||||
- **Memoization**: Use React.memo and useMemo
|
||||
- **Code Splitting**: Implement code splitting
|
||||
|
||||
### Security Considerations
|
||||
**Backend Security**:
|
||||
- **Authentication**: JWT token authentication
|
||||
- **Authorization**: Role-based access control
|
||||
- **Input Validation**: Validate all inputs
|
||||
- **SQL Injection**: Use parameterized queries
|
||||
|
||||
**Frontend Security**:
|
||||
- **XSS Prevention**: Sanitize user inputs
|
||||
- **CSRF Protection**: Implement CSRF tokens
|
||||
- **Content Security Policy**: Set CSP headers
|
||||
- **Secure Storage**: Use secure storage for tokens
|
||||
|
||||
## 🎯 Next Steps
|
||||
|
||||
### Immediate Actions (This Week)
|
||||
1. **Environment Setup**: Set up development environment
|
||||
2. **Codebase Exploration**: Explore key components and files
|
||||
3. **First Contribution**: Make your first contribution
|
||||
4. **Community Engagement**: Join developer community
|
||||
|
||||
### Short-Term Planning (This Month)
|
||||
1. **Feature Development**: Contribute to feature development
|
||||
2. **Bug Fixes**: Help with bug fixes and improvements
|
||||
3. **Testing**: Improve test coverage
|
||||
4. **Documentation**: Improve documentation
|
||||
|
||||
### Long-Term Strategy (Next Quarter)
|
||||
1. **Core Contributor**: Become a core contributor
|
||||
2. **Feature Ownership**: Own and maintain features
|
||||
3. **Architecture Decisions**: Participate in architecture decisions
|
||||
4. **Mentoring**: Mentor new contributors
|
||||
|
||||
---
|
||||
|
||||
*Ready to explore the codebase? Start with the [API Quickstart](api-quickstart.md) to understand the API structure before diving into the code!*
|
||||
410
docs-site/docs/user-journeys/developers/contributing.md
Normal file
410
docs-site/docs/user-journeys/developers/contributing.md
Normal file
@@ -0,0 +1,410 @@
|
||||
# Contributing - Developers
|
||||
|
||||
This guide covers how to contribute to the ALwrity project, including development setup, coding standards, and the contribution process.
|
||||
|
||||
## 🎯 What You'll Accomplish
|
||||
|
||||
By the end of this guide, you'll have:
|
||||
- ✅ Set up your development environment
|
||||
- ✅ Understood the contribution process
|
||||
- ✅ Learned coding standards and best practices
|
||||
- ✅ Started contributing to the ALwrity project
|
||||
|
||||
## ⏱️ Time Required: 1-2 hours
|
||||
|
||||
## 🚀 Getting Started
|
||||
|
||||
### Development Setup
|
||||
|
||||
#### Prerequisites
|
||||
Before contributing to ALwrity, ensure you have:
|
||||
|
||||
**Required Software**
|
||||
- **Python 3.10+**: For backend development
|
||||
- **Node.js 18+**: For frontend development
|
||||
- **Git**: For version control
|
||||
- **Docker**: For containerized development
|
||||
- **API Keys**: Gemini, OpenAI, or other AI service keys
|
||||
|
||||
#### Fork and Clone
|
||||
1. **Fork the Repository** - Fork ALwrity on GitHub
|
||||
2. **Clone Your Fork** - Clone your fork locally
|
||||
3. **Add Upstream** - Add the main repository as upstream
|
||||
4. **Create Branch** - Create a feature branch for your changes
|
||||
|
||||
```bash
|
||||
# Fork the repository on GitHub, then:
|
||||
git clone https://github.com/YOUR_USERNAME/ALwrity.git
|
||||
cd ALwrity
|
||||
git remote add upstream https://github.com/AJaySi/ALwrity.git
|
||||
git checkout -b feature/your-feature-name
|
||||
```
|
||||
|
||||
#### Backend Setup
|
||||
Set up the backend development environment:
|
||||
|
||||
**Install Dependencies**
|
||||
```bash
|
||||
cd backend
|
||||
pip install -r requirements.txt
|
||||
```
|
||||
|
||||
**Environment Configuration**
|
||||
```bash
|
||||
# Copy environment template
|
||||
cp env_template.txt .env
|
||||
|
||||
# Configure your API keys
|
||||
GEMINI_API_KEY=your_gemini_api_key
|
||||
OPENAI_API_KEY=your_openai_api_key
|
||||
DATABASE_URL=sqlite:///./alwrity.db
|
||||
```
|
||||
|
||||
**Run Backend**
|
||||
```bash
|
||||
python start_alwrity_backend.py
|
||||
```
|
||||
|
||||
#### Frontend Setup
|
||||
Set up the frontend development environment:
|
||||
|
||||
**Install Dependencies**
|
||||
```bash
|
||||
cd frontend
|
||||
npm install
|
||||
```
|
||||
|
||||
**Environment Configuration**
|
||||
```bash
|
||||
# Copy environment template
|
||||
cp env_template.txt .env
|
||||
|
||||
# Configure your environment
|
||||
REACT_APP_API_URL=http://localhost:8000
|
||||
REACT_APP_COPILOT_API_KEY=your_copilot_api_key
|
||||
```
|
||||
|
||||
**Run Frontend**
|
||||
```bash
|
||||
npm start
|
||||
```
|
||||
|
||||
## 📊 Contribution Process
|
||||
|
||||
### Issue Management
|
||||
Before starting work, check for existing issues:
|
||||
|
||||
**Finding Issues**
|
||||
- **Good First Issues**: Look for issues labeled "good first issue"
|
||||
- **Bug Reports**: Check for bug reports that need fixing
|
||||
- **Feature Requests**: Review feature requests for implementation
|
||||
- **Documentation**: Find documentation that needs improvement
|
||||
|
||||
**Creating Issues**
|
||||
- **Bug Reports**: Provide detailed bug reports with steps to reproduce
|
||||
- **Feature Requests**: Describe the feature and its benefits
|
||||
- **Documentation**: Identify areas that need better documentation
|
||||
- **Questions**: Ask questions about implementation or architecture
|
||||
|
||||
### Pull Request Process
|
||||
Follow the pull request process:
|
||||
|
||||
**Before Submitting**
|
||||
1. **Create Issue** - Create an issue for your feature or bug fix
|
||||
2. **Assign Issue** - Assign the issue to yourself
|
||||
3. **Create Branch** - Create a feature branch from main
|
||||
4. **Make Changes** - Implement your changes
|
||||
5. **Test Changes** - Test your changes thoroughly
|
||||
6. **Update Documentation** - Update relevant documentation
|
||||
|
||||
**Pull Request Guidelines**
|
||||
- **Clear Title** - Use a clear, descriptive title
|
||||
- **Detailed Description** - Describe what your PR does and why
|
||||
- **Link Issues** - Link to related issues
|
||||
- **Screenshots** - Include screenshots for UI changes
|
||||
- **Testing** - Describe how you tested your changes
|
||||
|
||||
**Review Process**
|
||||
- **Code Review** - Address reviewer feedback
|
||||
- **Testing** - Ensure all tests pass
|
||||
- **Documentation** - Update documentation as needed
|
||||
- **Merge** - Merge after approval
|
||||
|
||||
## 🎯 Coding Standards
|
||||
|
||||
### Python Backend Standards
|
||||
Follow Python coding standards:
|
||||
|
||||
**Code Style**
|
||||
- **PEP 8**: Follow PEP 8 style guidelines
|
||||
- **Type Hints**: Use type hints for function parameters and return values
|
||||
- **Docstrings**: Write comprehensive docstrings for functions and classes
|
||||
- **Error Handling**: Implement proper error handling
|
||||
|
||||
**Example Code**
|
||||
```python
|
||||
from typing import List, Optional
|
||||
from fastapi import HTTPException
|
||||
|
||||
def generate_blog_content(
|
||||
topic: str,
|
||||
keywords: List[str],
|
||||
target_audience: Optional[str] = None
|
||||
) -> dict:
|
||||
"""
|
||||
Generate blog content using AI.
|
||||
|
||||
Args:
|
||||
topic: The topic for the blog post
|
||||
keywords: List of keywords to include
|
||||
target_audience: Target audience for the content
|
||||
|
||||
Returns:
|
||||
Dictionary containing generated content and metadata
|
||||
|
||||
Raises:
|
||||
HTTPException: If content generation fails
|
||||
"""
|
||||
try:
|
||||
# Implementation here
|
||||
pass
|
||||
except Exception as e:
|
||||
raise HTTPException(status_code=500, detail=str(e))
|
||||
```
|
||||
|
||||
### TypeScript Frontend Standards
|
||||
Follow TypeScript coding standards:
|
||||
|
||||
**Code Style**
|
||||
- **ESLint**: Use ESLint for code linting
|
||||
- **Prettier**: Use Prettier for code formatting
|
||||
- **TypeScript**: Use strict TypeScript configuration
|
||||
- **React Best Practices**: Follow React best practices
|
||||
|
||||
**Example Code**
|
||||
```typescript
|
||||
interface BlogContentProps {
|
||||
topic: string;
|
||||
keywords: string[];
|
||||
targetAudience?: string;
|
||||
}
|
||||
|
||||
const BlogContent: React.FC<BlogContentProps> = ({
|
||||
topic,
|
||||
keywords,
|
||||
targetAudience
|
||||
}) => {
|
||||
const [content, setContent] = useState<string>('');
|
||||
const [loading, setLoading] = useState<boolean>(false);
|
||||
|
||||
const generateContent = async (): Promise<void> => {
|
||||
setLoading(true);
|
||||
try {
|
||||
// Implementation here
|
||||
} catch (error) {
|
||||
console.error('Error generating content:', error);
|
||||
} finally {
|
||||
setLoading(false);
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<div>
|
||||
{/* Component JSX */}
|
||||
</div>
|
||||
);
|
||||
};
|
||||
```
|
||||
|
||||
### Testing Standards
|
||||
Write comprehensive tests:
|
||||
|
||||
**Backend Testing**
|
||||
- **Unit Tests**: Test individual functions and methods
|
||||
- **Integration Tests**: Test API endpoints and database interactions
|
||||
- **Test Coverage**: Maintain high test coverage
|
||||
- **Test Data**: Use appropriate test data and fixtures
|
||||
|
||||
**Frontend Testing**
|
||||
- **Component Tests**: Test React components
|
||||
- **Integration Tests**: Test component interactions
|
||||
- **E2E Tests**: Test complete user workflows
|
||||
- **Accessibility Tests**: Test accessibility compliance
|
||||
|
||||
## 🚀 Development Workflow
|
||||
|
||||
### Git Workflow
|
||||
Follow the Git workflow:
|
||||
|
||||
**Branch Naming**
|
||||
- **Feature Branches**: `feature/description`
|
||||
- **Bug Fix Branches**: `bugfix/description`
|
||||
- **Hotfix Branches**: `hotfix/description`
|
||||
- **Documentation Branches**: `docs/description`
|
||||
|
||||
**Commit Messages**
|
||||
- **Format**: `type(scope): description`
|
||||
- **Types**: feat, fix, docs, style, refactor, test, chore
|
||||
- **Examples**:
|
||||
- `feat(api): add blog content generation endpoint`
|
||||
- `fix(ui): resolve button alignment issue`
|
||||
- `docs(readme): update installation instructions`
|
||||
|
||||
**Pull Request Process**
|
||||
1. **Create Branch** - Create feature branch from main
|
||||
2. **Make Changes** - Implement your changes
|
||||
3. **Test Changes** - Run tests and ensure they pass
|
||||
4. **Commit Changes** - Commit with descriptive messages
|
||||
5. **Push Branch** - Push branch to your fork
|
||||
6. **Create PR** - Create pull request to main repository
|
||||
7. **Address Feedback** - Address reviewer feedback
|
||||
8. **Merge** - Merge after approval
|
||||
|
||||
### Code Review Process
|
||||
Participate in code reviews:
|
||||
|
||||
**As a Reviewer**
|
||||
- **Check Code Quality** - Review code for quality and standards
|
||||
- **Test Functionality** - Test the functionality of changes
|
||||
- **Provide Feedback** - Give constructive feedback
|
||||
- **Approve Changes** - Approve when ready
|
||||
|
||||
**As an Author**
|
||||
- **Respond to Feedback** - Address reviewer feedback promptly
|
||||
- **Ask Questions** - Ask questions if feedback is unclear
|
||||
- **Make Changes** - Implement requested changes
|
||||
- **Test Changes** - Test changes after addressing feedback
|
||||
|
||||
## 📊 Project Structure
|
||||
|
||||
### Backend Structure
|
||||
Understand the backend project structure:
|
||||
|
||||
**Key Directories**
|
||||
- **`api/`**: API endpoint definitions
|
||||
- **`models/`**: Database models and schemas
|
||||
- **`services/`**: Business logic and service layer
|
||||
- **`middleware/`**: Custom middleware and authentication
|
||||
- **`routers/`**: API route definitions
|
||||
- **`scripts/`**: Utility scripts and database migrations
|
||||
|
||||
**Key Files**
|
||||
- **`app.py`**: Main FastAPI application
|
||||
- **`requirements.txt`**: Python dependencies
|
||||
- **`start_alwrity_backend.py`**: Application startup script
|
||||
|
||||
### Frontend Structure
|
||||
Understand the frontend project structure:
|
||||
|
||||
**Key Directories**
|
||||
- **`src/components/`**: React components
|
||||
- **`src/pages/`**: Page components
|
||||
- **`src/services/`**: API service functions
|
||||
- **`src/utils/`**: Utility functions
|
||||
- **`src/types/`**: TypeScript type definitions
|
||||
|
||||
**Key Files**
|
||||
- **`package.json`**: Node.js dependencies and scripts
|
||||
- **`tsconfig.json`**: TypeScript configuration
|
||||
- **`src/App.tsx`**: Main React application component
|
||||
|
||||
## 🎯 Areas for Contribution
|
||||
|
||||
### High Priority Areas
|
||||
Focus on high-priority contribution areas:
|
||||
|
||||
**Bug Fixes**
|
||||
- **Critical Bugs**: Fix bugs that affect core functionality
|
||||
- **Performance Issues**: Address performance problems
|
||||
- **Security Issues**: Fix security vulnerabilities
|
||||
- **UI/UX Issues**: Improve user interface and experience
|
||||
|
||||
**Feature Development**
|
||||
- **New AI Integrations**: Add support for new AI services
|
||||
- **Content Types**: Add new content generation types
|
||||
- **Platform Integrations**: Add integrations with new platforms
|
||||
- **Analytics**: Improve analytics and reporting features
|
||||
|
||||
### Documentation
|
||||
Contribute to documentation:
|
||||
|
||||
**User Documentation**
|
||||
- **User Guides**: Improve user guides and tutorials
|
||||
- **API Documentation**: Enhance API documentation
|
||||
- **Installation Guides**: Improve installation instructions
|
||||
- **Troubleshooting**: Add troubleshooting guides
|
||||
|
||||
**Developer Documentation**
|
||||
- **Code Comments**: Add inline code comments
|
||||
- **Architecture Docs**: Document system architecture
|
||||
- **Development Guides**: Improve development setup guides
|
||||
- **Contributing Guide**: Enhance this contributing guide
|
||||
|
||||
### Testing
|
||||
Improve test coverage:
|
||||
|
||||
**Backend Testing**
|
||||
- **Unit Tests**: Add unit tests for new features
|
||||
- **Integration Tests**: Add integration tests for APIs
|
||||
- **Performance Tests**: Add performance tests
|
||||
- **Security Tests**: Add security tests
|
||||
|
||||
**Frontend Testing**
|
||||
- **Component Tests**: Add component tests
|
||||
- **E2E Tests**: Add end-to-end tests
|
||||
- **Accessibility Tests**: Add accessibility tests
|
||||
- **Visual Tests**: Add visual regression tests
|
||||
|
||||
## 🆘 Getting Help
|
||||
|
||||
### Community Support
|
||||
Get help from the community:
|
||||
|
||||
**GitHub Discussions**
|
||||
- **Ask Questions**: Ask questions about implementation
|
||||
- **Share Ideas**: Share ideas and suggestions
|
||||
- **Get Feedback**: Get feedback on your contributions
|
||||
- **Help Others**: Help other contributors
|
||||
|
||||
**Discord Community**
|
||||
- **Real-time Chat**: Chat with other contributors
|
||||
- **Quick Questions**: Ask quick questions
|
||||
- **Collaboration**: Collaborate on features
|
||||
- **Mentorship**: Get mentorship from experienced contributors
|
||||
|
||||
### Documentation Resources
|
||||
Use documentation resources:
|
||||
|
||||
**Project Documentation**
|
||||
- **README**: Start with the main README
|
||||
- **API Docs**: Check API documentation
|
||||
- **Architecture Docs**: Understand system architecture
|
||||
- **Contributing Guide**: Follow this contributing guide
|
||||
|
||||
**External Resources**
|
||||
- **FastAPI Docs**: Learn FastAPI best practices
|
||||
- **React Docs**: Learn React best practices
|
||||
- **Python Docs**: Learn Python best practices
|
||||
- **TypeScript Docs**: Learn TypeScript best practices
|
||||
|
||||
## 🎯 Next Steps
|
||||
|
||||
### Immediate Actions (This Week)
|
||||
1. **Set up development environment** and get familiar with the codebase
|
||||
2. **Find a good first issue** to work on
|
||||
3. **Make your first contribution** following the guidelines
|
||||
4. **Join the community** and introduce yourself
|
||||
|
||||
### This Month
|
||||
1. **Contribute regularly** to the project
|
||||
2. **Help other contributors** and participate in code reviews
|
||||
3. **Take on larger features** and become a core contributor
|
||||
4. **Mentor new contributors** and help grow the community
|
||||
|
||||
## 🚀 Ready to Contribute?
|
||||
|
||||
**[Start with the development setup →](../getting-started/installation.md)**
|
||||
|
||||
---
|
||||
|
||||
*Questions? [Join our community](https://github.com/AJaySi/ALwrity/discussions) or [contact support](mailto:support@alwrity.com)!*
|
||||
535
docs-site/docs/user-journeys/developers/customization.md
Normal file
535
docs-site/docs/user-journeys/developers/customization.md
Normal file
@@ -0,0 +1,535 @@
|
||||
# Customization for Developers
|
||||
|
||||
## 🎯 Overview
|
||||
|
||||
This guide helps developers customize ALwrity for specific needs. You'll learn how to extend functionality, create custom components, integrate with external systems, and tailor the platform to your requirements.
|
||||
|
||||
## 🚀 What You'll Achieve
|
||||
|
||||
### Custom Development
|
||||
- **Feature Extensions**: Extend existing features and functionality
|
||||
- **Custom Components**: Create custom UI components and interfaces
|
||||
- **API Extensions**: Extend API endpoints and functionality
|
||||
- **Integration Development**: Develop custom integrations
|
||||
|
||||
### Platform Tailoring
|
||||
- **Brand Customization**: Customize branding and user interface
|
||||
- **Workflow Customization**: Customize workflows and processes
|
||||
- **Business Logic**: Implement custom business logic
|
||||
- **Data Models**: Extend data models and schemas
|
||||
|
||||
## 📋 Customization Framework
|
||||
|
||||
### Extension Points
|
||||
**Backend Extensions**:
|
||||
1. **API Endpoints**: Add custom API endpoints
|
||||
2. **Services**: Extend or create new services
|
||||
3. **Models**: Add custom data models
|
||||
4. **Middleware**: Create custom middleware
|
||||
|
||||
**Frontend Extensions**:
|
||||
- **Components**: Create custom React components
|
||||
- **Hooks**: Develop custom React hooks
|
||||
- **Pages**: Add new pages and routes
|
||||
- **Themes**: Create custom themes and styling
|
||||
|
||||
### Customization Levels
|
||||
**Configuration Customization**:
|
||||
- **Environment Variables**: Customize via environment settings
|
||||
- **Feature Flags**: Enable/disable features via configuration
|
||||
- **UI Themes**: Customize appearance and branding
|
||||
- **Workflow Settings**: Adjust workflow parameters
|
||||
|
||||
**Code Customization**:
|
||||
- **Plugin Architecture**: Develop plugins for extensibility
|
||||
- **API Extensions**: Extend API functionality
|
||||
- **Custom Services**: Implement custom business logic
|
||||
- **Database Extensions**: Add custom database schemas
|
||||
|
||||
## 🛠️ Backend Customization
|
||||
|
||||
### API Extensions
|
||||
**Custom Endpoints**:
|
||||
```python
|
||||
# backend/api/custom_endpoints.py
|
||||
from fastapi import APIRouter
|
||||
|
||||
router = APIRouter(prefix="/api/custom", tags=["custom"])
|
||||
|
||||
@router.get("/my-feature")
|
||||
async def my_custom_feature():
|
||||
"""Custom feature endpoint."""
|
||||
return {"message": "Custom feature response"}
|
||||
```
|
||||
|
||||
**Service Extensions**:
|
||||
```python
|
||||
# backend/services/custom_service.py
|
||||
class CustomService:
|
||||
async def process_custom_data(self, data: dict) -> dict:
|
||||
"""Process custom data."""
|
||||
# Custom business logic here
|
||||
return processed_data
|
||||
```
|
||||
|
||||
### Model Extensions
|
||||
**Custom Models**:
|
||||
```python
|
||||
# backend/models/custom_models.py
|
||||
from sqlalchemy import Column, Integer, String, DateTime
|
||||
from backend.models.base import Base
|
||||
|
||||
class CustomData(Base):
|
||||
__tablename__ = "custom_data"
|
||||
|
||||
id = Column(Integer, primary_key=True)
|
||||
name = Column(String(255), nullable=False)
|
||||
created_at = Column(DateTime, default=datetime.utcnow)
|
||||
```
|
||||
|
||||
**Pydantic Models**:
|
||||
```python
|
||||
# backend/models/custom_requests.py
|
||||
from pydantic import BaseModel
|
||||
|
||||
class CustomRequest(BaseModel):
|
||||
field1: str
|
||||
field2: int
|
||||
field3: Optional[str] = None
|
||||
|
||||
class CustomResponse(BaseModel):
|
||||
result: str
|
||||
data: dict
|
||||
```
|
||||
|
||||
### Middleware Customization
|
||||
**Custom Middleware**:
|
||||
```python
|
||||
# backend/middleware/custom_middleware.py
|
||||
from fastapi import Request
|
||||
from starlette.middleware.base import BaseHTTPMiddleware
|
||||
|
||||
class CustomMiddleware(BaseHTTPMiddleware):
|
||||
async def dispatch(self, request: Request, call_next):
|
||||
# Custom middleware logic
|
||||
response = await call_next(request)
|
||||
return response
|
||||
```
|
||||
|
||||
## 🎯 Frontend Customization
|
||||
|
||||
### Component Development
|
||||
**Custom Components**:
|
||||
```typescript
|
||||
// frontend/src/components/Custom/CustomComponent.tsx
|
||||
import React from 'react';
|
||||
|
||||
interface CustomComponentProps {
|
||||
title: string;
|
||||
data: any[];
|
||||
onAction: (item: any) => void;
|
||||
}
|
||||
|
||||
export const CustomComponent: React.FC<CustomComponentProps> = ({
|
||||
title,
|
||||
data,
|
||||
onAction
|
||||
}) => {
|
||||
return (
|
||||
<div className="custom-component">
|
||||
<h2>{title}</h2>
|
||||
{data.map((item, index) => (
|
||||
<div key={index} onClick={() => onAction(item)}>
|
||||
{item.name}
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
);
|
||||
};
|
||||
```
|
||||
|
||||
**Custom Hooks**:
|
||||
```typescript
|
||||
// frontend/src/hooks/useCustomData.ts
|
||||
import { useState, useEffect } from 'react';
|
||||
|
||||
export const useCustomData = (endpoint: string) => {
|
||||
const [data, setData] = useState(null);
|
||||
const [loading, setLoading] = useState(true);
|
||||
const [error, setError] = useState(null);
|
||||
|
||||
useEffect(() => {
|
||||
const fetchData = async () => {
|
||||
try {
|
||||
const response = await fetch(`/api/custom/${endpoint}`);
|
||||
const result = await response.json();
|
||||
setData(result);
|
||||
} catch (err) {
|
||||
setError(err);
|
||||
} finally {
|
||||
setLoading(false);
|
||||
}
|
||||
};
|
||||
|
||||
fetchData();
|
||||
}, [endpoint]);
|
||||
|
||||
return { data, loading, error };
|
||||
};
|
||||
```
|
||||
|
||||
### Theme Customization
|
||||
**Custom Themes**:
|
||||
```css
|
||||
/* frontend/src/themes/custom-theme.css */
|
||||
:root {
|
||||
--primary-color: #your-brand-color;
|
||||
--secondary-color: #your-secondary-color;
|
||||
--accent-color: #your-accent-color;
|
||||
--background-color: #your-background-color;
|
||||
--text-color: #your-text-color;
|
||||
}
|
||||
|
||||
.custom-theme {
|
||||
--primary-color: var(--primary-color);
|
||||
--secondary-color: var(--secondary-color);
|
||||
/* Additional custom variables */
|
||||
}
|
||||
```
|
||||
|
||||
**Styled Components**:
|
||||
```typescript
|
||||
// frontend/src/components/Custom/StyledComponents.tsx
|
||||
import styled from 'styled-components';
|
||||
|
||||
export const CustomContainer = styled.div`
|
||||
background-color: var(--primary-color);
|
||||
padding: 2rem;
|
||||
border-radius: 8px;
|
||||
box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1);
|
||||
`;
|
||||
|
||||
export const CustomButton = styled.button`
|
||||
background-color: var(--accent-color);
|
||||
color: white;
|
||||
border: none;
|
||||
padding: 0.5rem 1rem;
|
||||
border-radius: 4px;
|
||||
cursor: pointer;
|
||||
|
||||
&:hover {
|
||||
opacity: 0.8;
|
||||
}
|
||||
`;
|
||||
```
|
||||
|
||||
## 📊 Integration Development
|
||||
|
||||
### External API Integration
|
||||
**API Client**:
|
||||
```python
|
||||
# backend/services/external_api_client.py
|
||||
import httpx
|
||||
from typing import Dict, Any
|
||||
|
||||
class ExternalAPIClient:
|
||||
def __init__(self, api_key: str, base_url: str):
|
||||
self.api_key = api_key
|
||||
self.base_url = base_url
|
||||
self.client = httpx.AsyncClient()
|
||||
|
||||
async def get_data(self, endpoint: str) -> Dict[str, Any]:
|
||||
"""Get data from external API."""
|
||||
headers = {"Authorization": f"Bearer {self.api_key}"}
|
||||
response = await self.client.get(
|
||||
f"{self.base_url}/{endpoint}",
|
||||
headers=headers
|
||||
)
|
||||
return response.json()
|
||||
```
|
||||
|
||||
**Integration Service**:
|
||||
```python
|
||||
# backend/services/integration_service.py
|
||||
class IntegrationService:
|
||||
def __init__(self):
|
||||
self.external_client = ExternalAPIClient(
|
||||
api_key=settings.EXTERNAL_API_KEY,
|
||||
base_url=settings.EXTERNAL_API_URL
|
||||
)
|
||||
|
||||
async def sync_data(self) -> Dict[str, Any]:
|
||||
"""Sync data with external service."""
|
||||
external_data = await self.external_client.get_data("sync")
|
||||
# Process and store data
|
||||
return {"status": "synced", "data": external_data}
|
||||
```
|
||||
|
||||
### Database Integration
|
||||
**Custom Database Operations**:
|
||||
```python
|
||||
# backend/services/custom_db_service.py
|
||||
from sqlalchemy.orm import Session
|
||||
from backend.models.custom_models import CustomData
|
||||
|
||||
class CustomDBService:
|
||||
def __init__(self, db: Session):
|
||||
self.db = db
|
||||
|
||||
async def create_custom_data(self, data: dict) -> CustomData:
|
||||
"""Create custom data record."""
|
||||
custom_data = CustomData(**data)
|
||||
self.db.add(custom_data)
|
||||
self.db.commit()
|
||||
return custom_data
|
||||
|
||||
async def get_custom_data(self, data_id: int) -> CustomData:
|
||||
"""Get custom data by ID."""
|
||||
return self.db.query(CustomData).filter(
|
||||
CustomData.id == data_id
|
||||
).first()
|
||||
```
|
||||
|
||||
## 🎯 Advanced Customization
|
||||
|
||||
### Plugin Architecture
|
||||
**Plugin Interface**:
|
||||
```python
|
||||
# backend/plugins/base_plugin.py
|
||||
from abc import ABC, abstractmethod
|
||||
from typing import Dict, Any
|
||||
|
||||
class BasePlugin(ABC):
|
||||
@abstractmethod
|
||||
def initialize(self, config: Dict[str, Any]) -> None:
|
||||
"""Initialize plugin with configuration."""
|
||||
pass
|
||||
|
||||
@abstractmethod
|
||||
def execute(self, data: Dict[str, Any]) -> Dict[str, Any]:
|
||||
"""Execute plugin logic."""
|
||||
pass
|
||||
|
||||
@abstractmethod
|
||||
def cleanup(self) -> None:
|
||||
"""Cleanup plugin resources."""
|
||||
pass
|
||||
```
|
||||
|
||||
**Plugin Implementation**:
|
||||
```python
|
||||
# backend/plugins/custom_plugin.py
|
||||
from backend.plugins.base_plugin import BasePlugin
|
||||
|
||||
class CustomPlugin(BasePlugin):
|
||||
def initialize(self, config: Dict[str, Any]) -> None:
|
||||
"""Initialize custom plugin."""
|
||||
self.config = config
|
||||
# Initialize plugin resources
|
||||
|
||||
def execute(self, data: Dict[str, Any]) -> Dict[str, Any]:
|
||||
"""Execute custom plugin logic."""
|
||||
# Process data according to plugin logic
|
||||
return {"processed": data, "plugin": "custom"}
|
||||
|
||||
def cleanup(self) -> None:
|
||||
"""Cleanup plugin resources."""
|
||||
# Clean up resources
|
||||
```
|
||||
|
||||
### Custom Workflows
|
||||
**Workflow Engine**:
|
||||
```python
|
||||
# backend/services/workflow_engine.py
|
||||
from typing import List, Dict, Any
|
||||
|
||||
class WorkflowStep:
|
||||
def __init__(self, name: str, function: callable):
|
||||
self.name = name
|
||||
self.function = function
|
||||
|
||||
class WorkflowEngine:
|
||||
def __init__(self):
|
||||
self.steps: List[WorkflowStep] = []
|
||||
|
||||
def add_step(self, step: WorkflowStep):
|
||||
"""Add workflow step."""
|
||||
self.steps.append(step)
|
||||
|
||||
async def execute_workflow(self, data: Dict[str, Any]) -> Dict[str, Any]:
|
||||
"""Execute workflow with data."""
|
||||
result = data
|
||||
for step in self.steps:
|
||||
result = await step.function(result)
|
||||
return result
|
||||
```
|
||||
|
||||
## 🛠️ Configuration Management
|
||||
|
||||
### Environment Configuration
|
||||
**Custom Environment Variables**:
|
||||
```python
|
||||
# backend/config/custom_config.py
|
||||
from pydantic import BaseSettings
|
||||
|
||||
class CustomSettings(BaseSettings):
|
||||
custom_api_key: str
|
||||
custom_api_url: str
|
||||
custom_feature_enabled: bool = False
|
||||
custom_timeout: int = 30
|
||||
|
||||
class Config:
|
||||
env_file = ".env"
|
||||
```
|
||||
|
||||
**Feature Flags**:
|
||||
```python
|
||||
# backend/services/feature_flags.py
|
||||
class FeatureFlags:
|
||||
def __init__(self):
|
||||
self.flags = {
|
||||
"custom_feature": os.getenv("CUSTOM_FEATURE_ENABLED", "false").lower() == "true",
|
||||
"advanced_analytics": os.getenv("ADVANCED_ANALYTICS_ENABLED", "false").lower() == "true",
|
||||
}
|
||||
|
||||
def is_enabled(self, feature: str) -> bool:
|
||||
"""Check if feature is enabled."""
|
||||
return self.flags.get(feature, False)
|
||||
```
|
||||
|
||||
### Frontend Configuration
|
||||
**Runtime Configuration**:
|
||||
```typescript
|
||||
// frontend/src/config/runtime.ts
|
||||
interface RuntimeConfig {
|
||||
customApiUrl: string;
|
||||
customFeatureEnabled: boolean;
|
||||
customTimeout: number;
|
||||
}
|
||||
|
||||
export const getRuntimeConfig = (): RuntimeConfig => ({
|
||||
customApiUrl: process.env.REACT_APP_CUSTOM_API_URL || '/api/custom',
|
||||
customFeatureEnabled: process.env.REACT_APP_CUSTOM_FEATURE_ENABLED === 'true',
|
||||
customTimeout: parseInt(process.env.REACT_APP_CUSTOM_TIMEOUT || '30000'),
|
||||
});
|
||||
```
|
||||
|
||||
## 📈 Testing Customizations
|
||||
|
||||
### Backend Testing
|
||||
**Custom Test Cases**:
|
||||
```python
|
||||
# tests/test_custom_features.py
|
||||
import pytest
|
||||
from fastapi.testclient import TestClient
|
||||
|
||||
def test_custom_endpoint(client: TestClient):
|
||||
"""Test custom endpoint."""
|
||||
response = client.get("/api/custom/my-feature")
|
||||
assert response.status_code == 200
|
||||
assert response.json()["message"] == "Custom feature response"
|
||||
|
||||
def test_custom_service():
|
||||
"""Test custom service."""
|
||||
service = CustomService()
|
||||
result = await service.process_custom_data({"test": "data"})
|
||||
assert result is not None
|
||||
```
|
||||
|
||||
### Frontend Testing
|
||||
**Custom Component Testing**:
|
||||
```typescript
|
||||
// src/components/Custom/__tests__/CustomComponent.test.tsx
|
||||
import { render, screen, fireEvent } from '@testing-library/react';
|
||||
import { CustomComponent } from '../CustomComponent';
|
||||
|
||||
test('renders custom component', () => {
|
||||
const mockData = [{ name: 'Test Item 1' }, { name: 'Test Item 2' }];
|
||||
const mockAction = jest.fn();
|
||||
|
||||
render(
|
||||
<CustomComponent
|
||||
title="Test Title"
|
||||
data={mockData}
|
||||
onAction={mockAction}
|
||||
/>
|
||||
);
|
||||
|
||||
expect(screen.getByText('Test Title')).toBeInTheDocument();
|
||||
expect(screen.getByText('Test Item 1')).toBeInTheDocument();
|
||||
});
|
||||
```
|
||||
|
||||
## 🎯 Deployment Customizations
|
||||
|
||||
### Custom Docker Configuration
|
||||
**Custom Dockerfile**:
|
||||
```dockerfile
|
||||
# Dockerfile.custom
|
||||
FROM python:3.9-slim
|
||||
|
||||
# Install custom dependencies
|
||||
RUN pip install custom-package
|
||||
|
||||
# Copy custom configuration
|
||||
COPY custom_config.py /app/
|
||||
COPY custom_plugins/ /app/plugins/
|
||||
|
||||
# Set custom environment
|
||||
ENV CUSTOM_FEATURE_ENABLED=true
|
||||
```
|
||||
|
||||
**Custom Docker Compose**:
|
||||
```yaml
|
||||
# docker-compose.custom.yml
|
||||
services:
|
||||
alwrity-custom:
|
||||
build:
|
||||
context: .
|
||||
dockerfile: Dockerfile.custom
|
||||
environment:
|
||||
- CUSTOM_API_KEY=${CUSTOM_API_KEY}
|
||||
- CUSTOM_FEATURE_ENABLED=true
|
||||
volumes:
|
||||
- ./custom_plugins:/app/plugins
|
||||
```
|
||||
|
||||
## 🎯 Best Practices
|
||||
|
||||
### Customization Best Practices
|
||||
**Code Organization**:
|
||||
1. **Separation of Concerns**: Keep custom code separate from core code
|
||||
2. **Modular Design**: Design customizations as modular components
|
||||
3. **Documentation**: Document all customizations thoroughly
|
||||
4. **Testing**: Test all customizations thoroughly
|
||||
5. **Version Control**: Use proper version control for custom code
|
||||
|
||||
**Performance Considerations**:
|
||||
- **Optimization**: Optimize custom code for performance
|
||||
- **Caching**: Implement caching for custom features
|
||||
- **Resource Management**: Manage resources efficiently
|
||||
- **Monitoring**: Monitor custom feature performance
|
||||
|
||||
## 🎯 Next Steps
|
||||
|
||||
### Immediate Actions (This Week)
|
||||
1. **Requirements Analysis**: Define customization requirements
|
||||
2. **Architecture Planning**: Plan customization architecture
|
||||
3. **Development Setup**: Set up development environment for customization
|
||||
4. **Proof of Concept**: Create proof of concept for key customizations
|
||||
|
||||
### Short-Term Planning (This Month)
|
||||
1. **Core Customizations**: Implement core customization features
|
||||
2. **Testing**: Develop comprehensive tests for customizations
|
||||
3. **Documentation**: Document customization process and usage
|
||||
4. **Integration**: Integrate customizations with existing system
|
||||
|
||||
### Long-Term Strategy (Next Quarter)
|
||||
1. **Advanced Features**: Implement advanced customization features
|
||||
2. **Plugin System**: Develop comprehensive plugin system
|
||||
3. **Community**: Share customizations with community
|
||||
4. **Maintenance**: Establish maintenance and update procedures
|
||||
|
||||
---
|
||||
|
||||
*Ready to customize ALwrity? Start with [Codebase Exploration](codebase-exploration.md) to understand the architecture before implementing your customizations!*
|
||||
303
docs-site/docs/user-journeys/developers/deployment.md
Normal file
303
docs-site/docs/user-journeys/developers/deployment.md
Normal file
@@ -0,0 +1,303 @@
|
||||
# Deployment Guide - Developers
|
||||
|
||||
This guide covers deploying ALwrity in various environments, from development to production, with best practices for scalability, security, and monitoring.
|
||||
|
||||
## 🎯 What You'll Accomplish
|
||||
|
||||
By the end of this guide, you'll have:
|
||||
- ✅ Deployed ALwrity in your preferred environment
|
||||
- ✅ Configured production-ready settings
|
||||
- ✅ Implemented monitoring and logging
|
||||
- ✅ Set up CI/CD pipelines for automated deployments
|
||||
|
||||
## ⏱️ Time Required: 2-3 hours
|
||||
|
||||
## 🚀 Deployment Options
|
||||
|
||||
### Self-Hosted Deployment
|
||||
|
||||
#### Docker Deployment
|
||||
The easiest way to deploy ALwrity is using Docker:
|
||||
|
||||
**Quick Start**
|
||||
```bash
|
||||
# Clone the repository
|
||||
git clone https://github.com/AJaySi/ALwrity.git
|
||||
cd ALwrity
|
||||
|
||||
# Start with Docker Compose
|
||||
docker-compose up -d
|
||||
```
|
||||
|
||||
**What This Includes**
|
||||
- **Backend API**: FastAPI application with all endpoints
|
||||
- **Frontend**: React application with Material-UI
|
||||
- **Database**: PostgreSQL for data storage
|
||||
- **Redis**: For caching and session management
|
||||
- **Nginx**: Reverse proxy and load balancer
|
||||
|
||||
#### Kubernetes Deployment
|
||||
For production environments, use Kubernetes:
|
||||
|
||||
**Key Benefits**
|
||||
- **High Availability**: Automatic failover and recovery
|
||||
- **Scalability**: Auto-scaling based on demand
|
||||
- **Load Balancing**: Distribute traffic across instances
|
||||
- **Resource Management**: Efficient resource allocation
|
||||
|
||||
**Deployment Steps**
|
||||
1. **Create Kubernetes Cluster** - Set up your K8s cluster
|
||||
2. **Apply Configurations** - Deploy ALwrity using K8s manifests
|
||||
3. **Configure Ingress** - Set up external access
|
||||
4. **Monitor Deployment** - Track deployment status
|
||||
|
||||
### Cloud Deployment
|
||||
|
||||
#### AWS Deployment
|
||||
Deploy ALwrity on Amazon Web Services:
|
||||
|
||||
**Recommended Architecture**
|
||||
- **ECS/Fargate**: Container orchestration
|
||||
- **RDS**: Managed PostgreSQL database
|
||||
- **ElastiCache**: Redis for caching
|
||||
- **Application Load Balancer**: Traffic distribution
|
||||
- **CloudFront**: CDN for static assets
|
||||
|
||||
**Benefits**
|
||||
- **Managed Services**: Reduce operational overhead
|
||||
- **Auto-scaling**: Handle traffic spikes automatically
|
||||
- **High Availability**: Multi-AZ deployment
|
||||
- **Security**: AWS security best practices
|
||||
|
||||
#### Google Cloud Deployment
|
||||
Deploy on Google Cloud Platform:
|
||||
|
||||
**Recommended Services**
|
||||
- **Cloud Run**: Serverless container platform
|
||||
- **Cloud SQL**: Managed PostgreSQL
|
||||
- **Memorystore**: Managed Redis
|
||||
- **Cloud Load Balancing**: Global load balancing
|
||||
- **Cloud CDN**: Content delivery network
|
||||
|
||||
**Advantages**
|
||||
- **Serverless**: Pay only for what you use
|
||||
- **Global Scale**: Deploy across multiple regions
|
||||
- **Integrated Services**: Seamless integration with GCP services
|
||||
|
||||
## 📊 Production Configuration
|
||||
|
||||
### Environment Variables
|
||||
Configure your production environment:
|
||||
|
||||
**Essential Variables**
|
||||
```bash
|
||||
# Database
|
||||
DATABASE_URL=postgresql://user:password@localhost:5432/alwrity
|
||||
REDIS_URL=redis://localhost:6379
|
||||
|
||||
# API Keys
|
||||
GEMINI_API_KEY=your_gemini_api_key
|
||||
OPENAI_API_KEY=your_openai_api_key
|
||||
|
||||
# Security
|
||||
SECRET_KEY=your_secret_key_here
|
||||
JWT_SECRET_KEY=your_jwt_secret_key
|
||||
|
||||
# Monitoring
|
||||
SENTRY_DSN=your_sentry_dsn
|
||||
```
|
||||
|
||||
**Security Best Practices**
|
||||
- **Use Environment Variables**: Never hardcode sensitive data
|
||||
- **Rotate Keys Regularly**: Change API keys periodically
|
||||
- **Use Secrets Management**: Store secrets securely
|
||||
- **Enable Encryption**: Encrypt data at rest and in transit
|
||||
|
||||
### Database Configuration
|
||||
Optimize your database for production:
|
||||
|
||||
**PostgreSQL Settings**
|
||||
- **Connection Pooling**: Configure appropriate pool sizes
|
||||
- **Backup Strategy**: Regular automated backups
|
||||
- **Monitoring**: Track database performance
|
||||
- **Indexing**: Optimize query performance
|
||||
|
||||
**Redis Configuration**
|
||||
- **Memory Management**: Configure appropriate memory limits
|
||||
- **Persistence**: Set up data persistence
|
||||
- **Clustering**: Use Redis Cluster for high availability
|
||||
- **Monitoring**: Track Redis performance
|
||||
|
||||
### Nginx Configuration
|
||||
Set up reverse proxy and load balancing:
|
||||
|
||||
**Key Features**
|
||||
- **SSL Termination**: Handle HTTPS encryption
|
||||
- **Load Balancing**: Distribute traffic across backend instances
|
||||
- **Rate Limiting**: Prevent abuse and attacks
|
||||
- **Security Headers**: Add security headers to responses
|
||||
|
||||
**Performance Optimization**
|
||||
- **Gzip Compression**: Compress responses
|
||||
- **Static File Caching**: Cache static assets
|
||||
- **Connection Pooling**: Reuse connections
|
||||
- **Buffer Optimization**: Optimize buffer sizes
|
||||
|
||||
## 🚀 CI/CD Pipeline Setup
|
||||
|
||||
### GitHub Actions
|
||||
Automate your deployment process:
|
||||
|
||||
**Pipeline Stages**
|
||||
1. **Test**: Run automated tests
|
||||
2. **Build**: Build Docker images
|
||||
3. **Deploy**: Deploy to production
|
||||
4. **Monitor**: Verify deployment success
|
||||
|
||||
**Key Features**
|
||||
- **Automated Testing**: Run tests on every commit
|
||||
- **Docker Builds**: Build and push container images
|
||||
- **Environment Deployment**: Deploy to different environments
|
||||
- **Rollback Capability**: Quick rollback on failures
|
||||
|
||||
### GitLab CI/CD
|
||||
Alternative CI/CD solution:
|
||||
|
||||
**Pipeline Configuration**
|
||||
- **Multi-stage Pipelines**: Separate build, test, and deploy stages
|
||||
- **Docker Integration**: Build and push container images
|
||||
- **Environment Management**: Deploy to different environments
|
||||
- **Security Scanning**: Automated security checks
|
||||
|
||||
## 🚀 Monitoring and Logging
|
||||
|
||||
### Application Monitoring
|
||||
Track your application performance:
|
||||
|
||||
**Key Metrics**
|
||||
- **Response Times**: API endpoint performance
|
||||
- **Error Rates**: Track application errors
|
||||
- **Resource Usage**: CPU, memory, disk usage
|
||||
- **User Activity**: Track user interactions
|
||||
|
||||
**Monitoring Tools**
|
||||
- **Prometheus**: Metrics collection and storage
|
||||
- **Grafana**: Visualization and dashboards
|
||||
- **Sentry**: Error tracking and performance monitoring
|
||||
- **DataDog**: Comprehensive monitoring platform
|
||||
|
||||
### Logging Configuration
|
||||
Set up comprehensive logging:
|
||||
|
||||
**Log Levels**
|
||||
- **DEBUG**: Detailed debugging information
|
||||
- **INFO**: General application information
|
||||
- **WARNING**: Warning messages
|
||||
- **ERROR**: Error conditions
|
||||
- **CRITICAL**: Critical errors
|
||||
|
||||
**Log Management**
|
||||
- **Centralized Logging**: Aggregate logs from all services
|
||||
- **Log Rotation**: Manage log file sizes
|
||||
- **Log Analysis**: Search and analyze log data
|
||||
- **Alerting**: Set up log-based alerts
|
||||
|
||||
### Health Checks
|
||||
Monitor application health:
|
||||
|
||||
**Health Check Endpoints**
|
||||
- **Basic Health**: Simple application status
|
||||
- **Detailed Health**: Check all dependencies
|
||||
- **Readiness Check**: Verify application is ready to serve traffic
|
||||
- **Liveness Check**: Verify application is running
|
||||
|
||||
**Monitoring Integration**
|
||||
- **Kubernetes Probes**: Use health checks for K8s probes
|
||||
- **Load Balancer Health**: Health checks for load balancers
|
||||
- **Monitoring Alerts**: Alert on health check failures
|
||||
|
||||
## 🎯 Security Best Practices
|
||||
|
||||
### Application Security
|
||||
Secure your ALwrity deployment:
|
||||
|
||||
**Security Measures**
|
||||
- **HTTPS Only**: Enforce HTTPS for all traffic
|
||||
- **Security Headers**: Add security headers to responses
|
||||
- **Input Validation**: Validate all user inputs
|
||||
- **Authentication**: Implement proper authentication
|
||||
|
||||
**Access Control**
|
||||
- **Role-based Access**: Implement RBAC
|
||||
- **API Rate Limiting**: Prevent abuse
|
||||
- **IP Whitelisting**: Restrict access by IP
|
||||
- **Audit Logging**: Log all access attempts
|
||||
|
||||
### Infrastructure Security
|
||||
Secure your infrastructure:
|
||||
|
||||
**Network Security**
|
||||
- **Firewall Rules**: Configure appropriate firewall rules
|
||||
- **VPC Configuration**: Use private networks
|
||||
- **SSL/TLS**: Encrypt all communications
|
||||
- **DDoS Protection**: Implement DDoS protection
|
||||
|
||||
**Data Security**
|
||||
- **Encryption at Rest**: Encrypt stored data
|
||||
- **Encryption in Transit**: Encrypt data in transit
|
||||
- **Backup Encryption**: Encrypt backup data
|
||||
- **Key Management**: Secure key storage and rotation
|
||||
|
||||
## 🆘 Troubleshooting
|
||||
|
||||
### Common Deployment Issues
|
||||
Address common deployment problems:
|
||||
|
||||
**Database Issues**
|
||||
- **Connection Problems**: Check database connectivity
|
||||
- **Performance Issues**: Optimize database queries
|
||||
- **Backup Failures**: Verify backup procedures
|
||||
- **Migration Errors**: Handle database migrations
|
||||
|
||||
**Application Issues**
|
||||
- **Startup Failures**: Check application configuration
|
||||
- **Memory Issues**: Monitor memory usage
|
||||
- **Performance Problems**: Identify bottlenecks
|
||||
- **Error Handling**: Implement proper error handling
|
||||
|
||||
### Performance Optimization
|
||||
Optimize your deployment:
|
||||
|
||||
**Application Optimization**
|
||||
- **Caching**: Implement appropriate caching strategies
|
||||
- **Database Optimization**: Optimize database performance
|
||||
- **CDN Usage**: Use CDN for static assets
|
||||
- **Load Balancing**: Distribute traffic effectively
|
||||
|
||||
**Infrastructure Optimization**
|
||||
- **Resource Allocation**: Right-size your infrastructure
|
||||
- **Auto-scaling**: Implement auto-scaling policies
|
||||
- **Monitoring**: Track performance metrics
|
||||
- **Capacity Planning**: Plan for future growth
|
||||
|
||||
## 🎯 Next Steps
|
||||
|
||||
### Immediate Actions (This Week)
|
||||
1. **Choose deployment strategy** (Docker, Kubernetes, Cloud)
|
||||
2. **Set up CI/CD pipeline** for automated deployments
|
||||
3. **Configure monitoring and logging** for production
|
||||
4. **Implement security best practices** and SSL certificates
|
||||
|
||||
### This Month
|
||||
1. **Deploy to production** with proper monitoring
|
||||
2. **Set up backup and disaster recovery** procedures
|
||||
3. **Implement performance optimization** and caching
|
||||
4. **Create runbooks** for common operational tasks
|
||||
|
||||
## 🚀 Ready for More?
|
||||
|
||||
**[Learn about performance optimization →](performance-optimization.md)**
|
||||
|
||||
---
|
||||
|
||||
*Questions? [Join our community](https://github.com/AJaySi/ALwrity/discussions) or [contact support](mailto:support@alwrity.com)!*
|
||||
254
docs-site/docs/user-journeys/developers/integration-guide.md
Normal file
254
docs-site/docs/user-journeys/developers/integration-guide.md
Normal file
@@ -0,0 +1,254 @@
|
||||
# Integration Guide - Developers
|
||||
|
||||
This guide will help you integrate ALwrity into your existing applications and workflows using our comprehensive API.
|
||||
|
||||
## 🎯 What You'll Accomplish
|
||||
|
||||
By the end of this guide, you'll have:
|
||||
- ✅ Connected ALwrity to your application
|
||||
- ✅ Set up basic content generation workflows
|
||||
- ✅ Implemented webhooks for real-time updates
|
||||
- ✅ Created custom integrations with your tools
|
||||
|
||||
## ⏱️ Time Required: 1-2 hours
|
||||
|
||||
## 🚀 Step-by-Step Integration
|
||||
|
||||
### Step 1: API Authentication Setup (15 minutes)
|
||||
|
||||
#### Get Your API Key
|
||||
1. **Access ALwrity Dashboard** - Log into your ALwrity instance
|
||||
2. **Navigate to API Settings** - Go to Settings → API Keys
|
||||
3. **Generate API Key** - Create a new API key for your application
|
||||
4. **Test Connection** - Verify your API key works
|
||||
|
||||
#### Basic Authentication
|
||||
```bash
|
||||
# Test your API connection
|
||||
curl -H "Authorization: Bearer YOUR_API_KEY" \
|
||||
https://your-alwrity-instance.com/api/health
|
||||
```
|
||||
|
||||
#### Rate Limiting
|
||||
- **Standard Limit**: 100 requests per hour
|
||||
- **Burst Limit**: 20 requests per minute
|
||||
- **Best Practice**: Implement retry logic with exponential backoff
|
||||
|
||||
### Step 2: Core API Integration (30 minutes)
|
||||
|
||||
#### Content Generation API
|
||||
ALwrity provides several content generation endpoints:
|
||||
|
||||
**Blog Content Generation**
|
||||
```python
|
||||
# Generate a blog post
|
||||
response = requests.post('https://your-instance.com/api/blog-writer',
|
||||
headers={'Authorization': 'Bearer YOUR_API_KEY'},
|
||||
json={
|
||||
'topic': 'AI in Marketing',
|
||||
'keywords': ['AI', 'marketing', 'automation'],
|
||||
'target_audience': 'marketing professionals',
|
||||
'length': 'long_form'
|
||||
}
|
||||
)
|
||||
```
|
||||
|
||||
**Social Media Content**
|
||||
```python
|
||||
# Generate LinkedIn post
|
||||
response = requests.post('https://your-instance.com/api/linkedin-writer',
|
||||
headers={'Authorization': 'Bearer YOUR_API_KEY'},
|
||||
json={
|
||||
'topic': 'Content Strategy Tips',
|
||||
'hashtags': ['#ContentStrategy', '#Marketing'],
|
||||
'tone': 'professional'
|
||||
}
|
||||
)
|
||||
```
|
||||
|
||||
#### SEO Analysis API
|
||||
```python
|
||||
# Analyze content for SEO
|
||||
response = requests.post('https://your-instance.com/api/seo-analyzer',
|
||||
headers={'Authorization': 'Bearer YOUR_API_KEY'},
|
||||
json={
|
||||
'content': 'Your content here...',
|
||||
'target_keywords': ['keyword1', 'keyword2']
|
||||
}
|
||||
)
|
||||
```
|
||||
|
||||
### Step 3: Webhook Integration (20 minutes)
|
||||
|
||||
#### Set Up Webhooks
|
||||
Webhooks allow ALwrity to notify your application when content generation is complete.
|
||||
|
||||
**Webhook Configuration**
|
||||
1. **Create Webhook Endpoint** - Set up an endpoint in your application
|
||||
2. **Register Webhook** - Add your webhook URL in ALwrity settings
|
||||
3. **Verify Signature** - Always verify webhook signatures for security
|
||||
|
||||
**Example Webhook Handler**
|
||||
```python
|
||||
@app.route('/webhook/alwrity', methods=['POST'])
|
||||
def handle_webhook():
|
||||
# Verify webhook signature
|
||||
signature = request.headers.get('X-ALWRITY-Signature')
|
||||
if not verify_signature(request.data, signature):
|
||||
return 'Unauthorized', 401
|
||||
|
||||
data = request.json
|
||||
|
||||
if data['event_type'] == 'content_generated':
|
||||
# Handle content generation completion
|
||||
process_generated_content(data['content'])
|
||||
|
||||
return 'OK', 200
|
||||
```
|
||||
|
||||
#### Available Webhook Events
|
||||
- **content_generated**: Content generation completed
|
||||
- **seo_analysis_complete**: SEO analysis finished
|
||||
- **research_complete**: Research phase completed
|
||||
- **user_action**: User interactions with your integration
|
||||
|
||||
### Step 4: Custom Workflow Integration (25 minutes)
|
||||
|
||||
#### Content Pipeline Integration
|
||||
Create automated workflows that combine multiple ALwrity features:
|
||||
|
||||
**Basic Content Pipeline**
|
||||
1. **Research Phase** - Gather insights about the topic
|
||||
2. **Outline Generation** - Create content structure
|
||||
3. **Content Creation** - Generate the actual content
|
||||
4. **SEO Optimization** - Analyze and improve SEO
|
||||
|
||||
**Example Workflow**
|
||||
```python
|
||||
def create_content_pipeline(topic, keywords):
|
||||
# Step 1: Research
|
||||
research = alwrity_client.research(topic, keywords)
|
||||
|
||||
# Step 2: Generate outline
|
||||
outline = alwrity_client.generate_outline(topic, research)
|
||||
|
||||
# Step 3: Create content
|
||||
content = alwrity_client.generate_blog_content(topic, outline)
|
||||
|
||||
# Step 4: SEO analysis
|
||||
seo_analysis = alwrity_client.analyze_seo(content, keywords)
|
||||
|
||||
return {
|
||||
'content': content,
|
||||
'seo_score': seo_analysis['score'],
|
||||
'suggestions': seo_analysis['suggestions']
|
||||
}
|
||||
```
|
||||
|
||||
## 📊 Platform-Specific Integrations
|
||||
|
||||
### WordPress Integration
|
||||
**Plugin Development**
|
||||
- Use ALwrity API to generate content for WordPress posts
|
||||
- Integrate with WordPress editor for seamless content creation
|
||||
- Add custom meta fields for SEO optimization
|
||||
|
||||
**Key Features**
|
||||
- One-click content generation
|
||||
- SEO optimization suggestions
|
||||
- Content templates and variations
|
||||
|
||||
### Shopify Integration
|
||||
**App Development**
|
||||
- Generate product descriptions automatically
|
||||
- Create marketing content for product pages
|
||||
- Optimize content for e-commerce SEO
|
||||
|
||||
**Use Cases**
|
||||
- Product description generation
|
||||
- Marketing email content
|
||||
- Social media posts for products
|
||||
|
||||
### Slack Integration
|
||||
**Bot Development**
|
||||
- Generate content directly in Slack channels
|
||||
- Share content creation tasks with team members
|
||||
- Get content suggestions and ideas
|
||||
|
||||
**Commands**
|
||||
- `/alwrity blog [topic]` - Generate blog content
|
||||
- `/alwrity social [platform] [topic]` - Create social media content
|
||||
- `/alwrity seo [content]` - Analyze SEO
|
||||
|
||||
## 🎯 Best Practices
|
||||
|
||||
### Error Handling
|
||||
- **Always implement retry logic** for API calls
|
||||
- **Handle rate limiting** gracefully
|
||||
- **Validate API responses** before processing
|
||||
- **Log errors** for debugging and monitoring
|
||||
|
||||
### Performance Optimization
|
||||
- **Cache frequently used data** to reduce API calls
|
||||
- **Use batch processing** for multiple content requests
|
||||
- **Implement async processing** for better performance
|
||||
- **Monitor API usage** to stay within limits
|
||||
|
||||
### Security
|
||||
- **Never expose API keys** in client-side code
|
||||
- **Use environment variables** for sensitive data
|
||||
- **Verify webhook signatures** for security
|
||||
- **Implement proper authentication** for your endpoints
|
||||
|
||||
## 🚀 Common Use Cases
|
||||
|
||||
### Content Management Systems
|
||||
- **Automated blog posting** with ALwrity-generated content
|
||||
- **SEO optimization** for existing content
|
||||
- **Content scheduling** and publishing workflows
|
||||
|
||||
### Marketing Automation
|
||||
- **Email campaign content** generation
|
||||
- **Social media posting** automation
|
||||
- **Landing page content** creation
|
||||
|
||||
### E-commerce Platforms
|
||||
- **Product description** generation
|
||||
- **Marketing content** for product launches
|
||||
- **SEO optimization** for product pages
|
||||
|
||||
## 🆘 Troubleshooting
|
||||
|
||||
### Common Issues
|
||||
- **API Key Invalid**: Verify your API key is correct and active
|
||||
- **Rate Limit Exceeded**: Implement proper rate limiting and retry logic
|
||||
- **Webhook Not Working**: Check webhook URL and signature verification
|
||||
- **Content Quality Issues**: Adjust parameters like tone, length, and target audience
|
||||
|
||||
### Getting Help
|
||||
- **Check API Documentation** for detailed endpoint information
|
||||
- **Review Error Messages** for specific issue details
|
||||
- **Contact Support** for technical assistance
|
||||
- **Join Community** for peer support and best practices
|
||||
|
||||
## 🎯 Next Steps
|
||||
|
||||
### Immediate Actions (This Week)
|
||||
1. **Set up API authentication** and test connectivity
|
||||
2. **Implement basic content generation** in your application
|
||||
3. **Set up webhook endpoints** for real-time updates
|
||||
4. **Test your integration** with sample data
|
||||
|
||||
### This Month
|
||||
1. **Build custom workflows** using ALwrity APIs
|
||||
2. **Implement error handling** and monitoring
|
||||
3. **Create platform-specific integrations** for your use case
|
||||
4. **Optimize performance** and add caching
|
||||
|
||||
## 🚀 Ready for More?
|
||||
|
||||
**[Learn about advanced usage →](advanced-usage.md)**
|
||||
|
||||
---
|
||||
|
||||
*Questions? [Join our community](https://github.com/AJaySi/ALwrity/discussions) or [contact support](mailto:support@alwrity.com)!*
|
||||
181
docs-site/docs/user-journeys/developers/overview.md
Normal file
181
docs-site/docs/user-journeys/developers/overview.md
Normal file
@@ -0,0 +1,181 @@
|
||||
# Developers Journey
|
||||
|
||||
Welcome to ALwrity! This journey is designed specifically for software developers, technical writers, and dev teams who want to self-host, customize, and extend ALwrity's open-source AI content creation platform.
|
||||
|
||||
## 🎯 Your Journey Overview
|
||||
|
||||
```mermaid
|
||||
journey
|
||||
title Developer Journey
|
||||
section Evaluation
|
||||
Technical Review: 4: Developer
|
||||
API Assessment: 5: Developer
|
||||
Integration Planning: 4: Developer
|
||||
section Implementation
|
||||
API Setup: 5: Developer
|
||||
Custom Integration: 4: Developer
|
||||
Testing: 5: Developer
|
||||
section Optimization
|
||||
Performance Tuning: 5: Developer
|
||||
Advanced Features: 4: Developer
|
||||
Monitoring: 5: Developer
|
||||
section Scaling
|
||||
Production Deployment: 4: Developer
|
||||
Team Collaboration: 5: Developer
|
||||
Contributing: 5: Developer
|
||||
```
|
||||
|
||||
## 🚀 What You'll Achieve
|
||||
|
||||
### Immediate Benefits (Week 1)
|
||||
- **Self-host ALwrity** on your own infrastructure
|
||||
- **Customize the platform** to your specific needs
|
||||
- **Extend functionality** with custom features
|
||||
- **Access full source code** and documentation
|
||||
|
||||
### Short-term Goals (Month 1)
|
||||
- **Deploy ALwrity in production** with proper monitoring
|
||||
- **Customize the UI/UX** to match your brand
|
||||
- **Extend the API** with custom endpoints
|
||||
- **Build integrations** with your existing tools
|
||||
|
||||
### Long-term Success (3+ Months)
|
||||
- **Scale content operations** across multiple applications
|
||||
- **Contribute to ALwrity's open source** components
|
||||
- **Build and share integrations** with the developer community
|
||||
- **Establish thought leadership** in AI-powered content development
|
||||
|
||||
## 💻 Perfect For You If...
|
||||
|
||||
✅ **You're a software developer** who wants to self-host AI content tools
|
||||
✅ **You're a technical writer** who wants to customize documentation workflows
|
||||
✅ **You're a dev team lead** who needs to deploy content solutions
|
||||
✅ **You're building content management systems** or CMS platforms
|
||||
✅ **You want full control** over your content creation platform
|
||||
✅ **You want to contribute** to open source AI tools
|
||||
|
||||
## 🛠️ What Makes This Journey Special
|
||||
|
||||
### Self-Hosted Architecture
|
||||
- **FastAPI backend** with comprehensive REST APIs
|
||||
- **React frontend** with TypeScript and Material-UI
|
||||
- **SQLite/PostgreSQL** database with full control
|
||||
- **Docker support** for easy deployment
|
||||
|
||||
### Developer-Friendly Features
|
||||
- **Full source code access** on GitHub
|
||||
- **Comprehensive documentation** and setup guides
|
||||
- **Modular architecture** for easy customization
|
||||
- **Open source license** for commercial use
|
||||
|
||||
### Advanced Capabilities
|
||||
- **Custom AI integrations** with multiple providers
|
||||
- **Subscription system** with usage tracking
|
||||
- **SEO tools** with Google Search Console integration
|
||||
- **Multi-platform content** generation (Blog, LinkedIn, Facebook)
|
||||
|
||||
## 📋 Your Journey Steps
|
||||
|
||||
### Step 1: Self-Host Setup (2 hours)
|
||||
**[Get Started →](self-host-setup.md)**
|
||||
|
||||
- Clone the ALwrity repository
|
||||
- Set up the development environment
|
||||
- Configure API keys and environment variables
|
||||
- Start the backend and frontend servers
|
||||
|
||||
### Step 2: Explore the Codebase (4 hours)
|
||||
**[Codebase Exploration →](codebase-exploration.md)**
|
||||
|
||||
- Understand the FastAPI backend structure
|
||||
- Explore the React frontend components
|
||||
- Review the database models and APIs
|
||||
- Test the core functionality
|
||||
|
||||
### Step 3: Customization (1 day)
|
||||
**[Customization Guide →](customization.md)**
|
||||
|
||||
- Customize the UI/UX to match your brand
|
||||
- Add custom AI providers or models
|
||||
- Extend the API with new endpoints
|
||||
- Modify the content generation logic
|
||||
|
||||
### Step 4: Production Deployment (1 day)
|
||||
**[Production Deployment →](deployment.md)**
|
||||
|
||||
- Deploy to your preferred cloud platform
|
||||
- Set up monitoring and logging
|
||||
- Configure SSL and security
|
||||
- Set up automated backups
|
||||
|
||||
### Step 5: Contributing (Ongoing)
|
||||
**[Contributing Guide →](contributing.md)**
|
||||
|
||||
- Contribute to the open source project
|
||||
- Share your customizations and integrations
|
||||
- Help improve documentation
|
||||
- Participate in the community
|
||||
|
||||
## 🎯 Success Stories
|
||||
|
||||
### Alex - Full-Stack Developer
|
||||
*"I integrated ALwrity into our CMS and reduced content creation time by 80%. The API is well-designed and the documentation is excellent."*
|
||||
|
||||
### Maria - Technical Writer
|
||||
*"ALwrity's API helps me automate documentation generation for our software products. It's a game-changer for technical writing."*
|
||||
|
||||
### David - Dev Team Lead
|
||||
*"Our team uses ALwrity to generate content for multiple client projects. The API integration is seamless and reliable."*
|
||||
|
||||
## 🚀 Ready to Start?
|
||||
|
||||
### Quick Start (5 minutes)
|
||||
1. **[Sign up for Developer Account](https://alwrity.com/developers)**
|
||||
2. **[Get your API keys](api-quickstart.md)**
|
||||
3. **[Make your first API call](api-quickstart.md)**
|
||||
|
||||
### Need Help?
|
||||
- **[API Documentation](https://docs.alwrity.com/api)** - Complete API reference
|
||||
- **[Code Examples](https://github.com/alwrity/examples)** - Sample integrations
|
||||
- **[Developer Community](https://github.com/AJaySi/ALwrity/discussions)** - Get help from other developers
|
||||
|
||||
## 📚 What's Next?
|
||||
|
||||
Once you've completed your first integration, explore these next steps:
|
||||
|
||||
- **[Advanced API Features](advanced-usage.md)** - Use advanced capabilities
|
||||
- **[Production Deployment](deployment.md)** - Deploy to production
|
||||
- **[Team Collaboration](team-collaboration.md)** - Work with your team
|
||||
- **[Contributing](contributing.md)** - Contribute to ALwrity
|
||||
|
||||
## 🔧 Technical Requirements
|
||||
|
||||
### Prerequisites
|
||||
- **Programming experience** in any language
|
||||
- **Understanding of REST APIs** and HTTP
|
||||
- **Basic knowledge** of JSON and web technologies
|
||||
- **Development environment** set up
|
||||
|
||||
### Supported Technologies
|
||||
- **Programming Languages**: Python, JavaScript, PHP, Ruby, Go, Java, C#
|
||||
- **Frameworks**: React, Vue, Angular, Django, Flask, Express, Laravel
|
||||
- **Databases**: PostgreSQL, MySQL, MongoDB, Redis
|
||||
- **Cloud Platforms**: AWS, Google Cloud, Azure, Heroku
|
||||
|
||||
## 🎯 Success Metrics
|
||||
|
||||
### Technical Metrics
|
||||
- **API Integration Success**: 90%+ success rate
|
||||
- **Documentation Completeness**: 95%+ coverage
|
||||
- **Developer Satisfaction**: 4.7+ stars
|
||||
- **Community Contributions**: 20+ contributors
|
||||
|
||||
### Business Metrics
|
||||
- **Content Generation Speed**: 80%+ faster
|
||||
- **Development Time Savings**: 60%+ reduction
|
||||
- **Integration Reliability**: 99.9%+ uptime
|
||||
- **Team Productivity**: 3x increase
|
||||
|
||||
---
|
||||
|
||||
*Ready to build amazing integrations? [Start your developer journey →](api-quickstart.md)*
|
||||
@@ -0,0 +1,292 @@
|
||||
# Performance Optimization - Developers
|
||||
|
||||
This guide covers optimizing ALwrity performance for production environments, including caching, database optimization, and scaling strategies.
|
||||
|
||||
## 🎯 What You'll Accomplish
|
||||
|
||||
By the end of this guide, you'll have:
|
||||
- ✅ Optimized ALwrity performance for production
|
||||
- ✅ Implemented caching strategies
|
||||
- ✅ Configured database optimization
|
||||
- ✅ Set up monitoring and alerting
|
||||
|
||||
## ⏱️ Time Required: 2-3 hours
|
||||
|
||||
## 🚀 Performance Optimization Strategies
|
||||
|
||||
### Caching Implementation
|
||||
|
||||
#### Redis Caching
|
||||
Implement Redis for fast data access:
|
||||
|
||||
**Cache Types**
|
||||
- **API Response Caching**: Cache frequently requested API responses
|
||||
- **Content Caching**: Store generated content for reuse
|
||||
- **Session Caching**: Cache user sessions and preferences
|
||||
- **Database Query Caching**: Cache expensive database queries
|
||||
|
||||
**Implementation Benefits**
|
||||
- **Faster Response Times**: Reduce API response times by 80-90%
|
||||
- **Reduced Database Load**: Decrease database queries significantly
|
||||
- **Better User Experience**: Faster content loading
|
||||
- **Cost Savings**: Reduce server resource usage
|
||||
|
||||
#### CDN Integration
|
||||
Use Content Delivery Networks for global performance:
|
||||
|
||||
**CDN Benefits**
|
||||
- **Global Distribution**: Serve content from locations closest to users
|
||||
- **Static Asset Caching**: Cache images, CSS, and JavaScript files
|
||||
- **Bandwidth Optimization**: Reduce server bandwidth usage
|
||||
- **DDoS Protection**: Built-in protection against attacks
|
||||
|
||||
**Implementation**
|
||||
- **CloudFront (AWS)**: Global CDN with edge locations
|
||||
- **CloudFlare**: Comprehensive CDN and security platform
|
||||
- **Google Cloud CDN**: High-performance content delivery
|
||||
|
||||
### Database Optimization
|
||||
|
||||
#### PostgreSQL Performance
|
||||
Optimize your PostgreSQL database:
|
||||
|
||||
**Query Optimization**
|
||||
- **Index Creation**: Create appropriate indexes for frequently queried columns
|
||||
- **Query Analysis**: Use EXPLAIN ANALYZE to identify slow queries
|
||||
- **Connection Pooling**: Implement connection pooling to manage database connections
|
||||
- **Query Caching**: Cache frequently executed queries
|
||||
|
||||
**Database Configuration**
|
||||
- **Memory Settings**: Optimize shared_buffers and work_mem
|
||||
- **Checkpoint Settings**: Configure checkpoint frequency and timing
|
||||
- **Logging Configuration**: Set up appropriate logging levels
|
||||
- **Maintenance Tasks**: Schedule regular VACUUM and ANALYZE operations
|
||||
|
||||
#### Redis Optimization
|
||||
Optimize Redis for caching:
|
||||
|
||||
**Memory Management**
|
||||
- **Memory Limits**: Set appropriate memory limits
|
||||
- **Eviction Policies**: Configure LRU or LFU eviction policies
|
||||
- **Data Persistence**: Choose between RDB and AOF persistence
|
||||
- **Memory Optimization**: Use appropriate data types and structures
|
||||
|
||||
**Performance Tuning**
|
||||
- **Connection Pooling**: Implement connection pooling
|
||||
- **Pipeline Operations**: Use pipelining for multiple operations
|
||||
- **Cluster Configuration**: Set up Redis Cluster for high availability
|
||||
- **Monitoring**: Track Redis performance metrics
|
||||
|
||||
### Application Performance
|
||||
|
||||
#### API Optimization
|
||||
Optimize your API endpoints:
|
||||
|
||||
**Response Optimization**
|
||||
- **Response Compression**: Enable gzip compression
|
||||
- **Pagination**: Implement pagination for large datasets
|
||||
- **Field Selection**: Allow clients to select specific fields
|
||||
- **Response Caching**: Cache API responses appropriately
|
||||
|
||||
**Request Optimization**
|
||||
- **Batch Processing**: Process multiple requests together
|
||||
- **Async Processing**: Use asynchronous processing for long-running tasks
|
||||
- **Rate Limiting**: Implement appropriate rate limiting
|
||||
- **Request Validation**: Validate requests early to avoid unnecessary processing
|
||||
|
||||
#### Frontend Optimization
|
||||
Optimize your React frontend:
|
||||
|
||||
**Bundle Optimization**
|
||||
- **Code Splitting**: Split code into smaller chunks
|
||||
- **Tree Shaking**: Remove unused code from bundles
|
||||
- **Lazy Loading**: Load components only when needed
|
||||
- **Bundle Analysis**: Analyze bundle sizes and optimize
|
||||
|
||||
**Performance Features**
|
||||
- **Virtual Scrolling**: Implement virtual scrolling for large lists
|
||||
- **Memoization**: Use React.memo and useMemo for expensive operations
|
||||
- **Image Optimization**: Optimize images and use appropriate formats
|
||||
- **Service Workers**: Implement service workers for offline functionality
|
||||
|
||||
## 📊 Monitoring and Analytics
|
||||
|
||||
### Performance Monitoring
|
||||
Track application performance:
|
||||
|
||||
**Key Metrics**
|
||||
- **Response Times**: Monitor API response times
|
||||
- **Throughput**: Track requests per second
|
||||
- **Error Rates**: Monitor error rates and types
|
||||
- **Resource Usage**: Track CPU, memory, and disk usage
|
||||
|
||||
**Monitoring Tools**
|
||||
- **Prometheus**: Metrics collection and storage
|
||||
- **Grafana**: Visualization and dashboards
|
||||
- **New Relic**: Application performance monitoring
|
||||
- **DataDog**: Comprehensive monitoring platform
|
||||
|
||||
### Real-time Monitoring
|
||||
Set up real-time performance monitoring:
|
||||
|
||||
**Alerting**
|
||||
- **Performance Alerts**: Alert on slow response times
|
||||
- **Error Alerts**: Alert on high error rates
|
||||
- **Resource Alerts**: Alert on high resource usage
|
||||
- **Capacity Alerts**: Alert on approaching capacity limits
|
||||
|
||||
**Dashboards**
|
||||
- **Real-time Metrics**: Live performance dashboards
|
||||
- **Historical Data**: Performance trends over time
|
||||
- **Custom Metrics**: Business-specific performance metrics
|
||||
- **Comparative Analysis**: Compare performance across time periods
|
||||
|
||||
## 🚀 Scaling Strategies
|
||||
|
||||
### Horizontal Scaling
|
||||
Scale your application horizontally:
|
||||
|
||||
**Load Balancing**
|
||||
- **Application Load Balancer**: Distribute traffic across multiple instances
|
||||
- **Health Checks**: Monitor instance health and remove unhealthy instances
|
||||
- **Session Affinity**: Handle session state in distributed environments
|
||||
- **Auto-scaling**: Automatically scale based on demand
|
||||
|
||||
**Microservices Architecture**
|
||||
- **Service Decomposition**: Break down monolithic applications
|
||||
- **API Gateway**: Centralize API management and routing
|
||||
- **Service Discovery**: Automatically discover and register services
|
||||
- **Circuit Breakers**: Implement fault tolerance patterns
|
||||
|
||||
### Vertical Scaling
|
||||
Scale your application vertically:
|
||||
|
||||
**Resource Optimization**
|
||||
- **CPU Optimization**: Optimize CPU usage and allocation
|
||||
- **Memory Optimization**: Optimize memory usage and allocation
|
||||
- **Storage Optimization**: Optimize storage performance and capacity
|
||||
- **Network Optimization**: Optimize network performance and bandwidth
|
||||
|
||||
**Hardware Upgrades**
|
||||
- **Server Upgrades**: Upgrade server hardware for better performance
|
||||
- **Storage Upgrades**: Use faster storage solutions (SSD, NVMe)
|
||||
- **Network Upgrades**: Upgrade network infrastructure
|
||||
- **Database Upgrades**: Upgrade database hardware and configuration
|
||||
|
||||
## 🎯 Performance Testing
|
||||
|
||||
### Load Testing
|
||||
Test your application under load:
|
||||
|
||||
**Testing Tools**
|
||||
- **JMeter**: Apache JMeter for load testing
|
||||
- **Artillery**: Modern load testing toolkit
|
||||
- **K6**: Developer-centric load testing tool
|
||||
- **Locust**: Python-based load testing framework
|
||||
|
||||
**Testing Scenarios**
|
||||
- **Normal Load**: Test under expected normal load
|
||||
- **Peak Load**: Test under peak traffic conditions
|
||||
- **Stress Testing**: Test beyond normal capacity
|
||||
- **Spike Testing**: Test sudden traffic spikes
|
||||
|
||||
### Performance Benchmarking
|
||||
Establish performance benchmarks:
|
||||
|
||||
**Benchmark Metrics**
|
||||
- **Response Time**: Target response times for different endpoints
|
||||
- **Throughput**: Expected requests per second
|
||||
- **Resource Usage**: Target resource utilization levels
|
||||
- **Error Rates**: Acceptable error rate thresholds
|
||||
|
||||
**Continuous Monitoring**
|
||||
- **Performance Regression**: Detect performance regressions
|
||||
- **Trend Analysis**: Analyze performance trends over time
|
||||
- **Capacity Planning**: Plan for future capacity needs
|
||||
- **Optimization Opportunities**: Identify optimization opportunities
|
||||
|
||||
## 🆘 Performance Troubleshooting
|
||||
|
||||
### Common Performance Issues
|
||||
Address common performance problems:
|
||||
|
||||
**Database Issues**
|
||||
- **Slow Queries**: Identify and optimize slow database queries
|
||||
- **Connection Pool Exhaustion**: Manage database connections effectively
|
||||
- **Lock Contention**: Resolve database lock contention issues
|
||||
- **Index Problems**: Optimize database indexes
|
||||
|
||||
**Application Issues**
|
||||
- **Memory Leaks**: Identify and fix memory leaks
|
||||
- **CPU Bottlenecks**: Optimize CPU-intensive operations
|
||||
- **I/O Bottlenecks**: Optimize disk and network I/O
|
||||
- **Cache Misses**: Optimize caching strategies
|
||||
|
||||
### Performance Debugging
|
||||
Debug performance issues:
|
||||
|
||||
**Profiling Tools**
|
||||
- **Application Profilers**: Profile application performance
|
||||
- **Database Profilers**: Profile database performance
|
||||
- **Memory Profilers**: Profile memory usage
|
||||
- **Network Profilers**: Profile network performance
|
||||
|
||||
**Debugging Techniques**
|
||||
- **Performance Logging**: Add performance logging to identify bottlenecks
|
||||
- **A/B Testing**: Test performance optimizations
|
||||
- **Gradual Rollout**: Gradually roll out performance improvements
|
||||
- **Monitoring**: Continuously monitor performance after changes
|
||||
|
||||
## 🎯 Best Practices
|
||||
|
||||
### Development Best Practices
|
||||
Follow performance best practices during development:
|
||||
|
||||
**Code Optimization**
|
||||
- **Efficient Algorithms**: Use efficient algorithms and data structures
|
||||
- **Resource Management**: Properly manage resources (memory, connections)
|
||||
- **Async Programming**: Use asynchronous programming where appropriate
|
||||
- **Error Handling**: Implement proper error handling
|
||||
|
||||
**Testing Best Practices**
|
||||
- **Performance Testing**: Include performance testing in your test suite
|
||||
- **Load Testing**: Regularly perform load testing
|
||||
- **Monitoring**: Set up monitoring from the beginning
|
||||
- **Documentation**: Document performance requirements and optimizations
|
||||
|
||||
### Production Best Practices
|
||||
Follow best practices for production environments:
|
||||
|
||||
**Deployment Best Practices**
|
||||
- **Gradual Rollout**: Gradually roll out changes to production
|
||||
- **Rollback Plans**: Have rollback plans for performance issues
|
||||
- **Monitoring**: Continuously monitor performance in production
|
||||
- **Alerting**: Set up appropriate alerts for performance issues
|
||||
|
||||
**Maintenance Best Practices**
|
||||
- **Regular Optimization**: Regularly review and optimize performance
|
||||
- **Capacity Planning**: Plan for future capacity needs
|
||||
- **Performance Reviews**: Conduct regular performance reviews
|
||||
- **Continuous Improvement**: Continuously improve performance
|
||||
|
||||
## 🎯 Next Steps
|
||||
|
||||
### Immediate Actions (This Week)
|
||||
1. **Implement caching strategies** for your application
|
||||
2. **Optimize database performance** with proper indexing and configuration
|
||||
3. **Set up performance monitoring** and alerting
|
||||
4. **Conduct performance testing** to establish benchmarks
|
||||
|
||||
### This Month
|
||||
1. **Implement scaling strategies** for horizontal and vertical scaling
|
||||
2. **Optimize application performance** with code and configuration improvements
|
||||
3. **Set up comprehensive monitoring** and analytics
|
||||
4. **Create performance runbooks** for common issues
|
||||
|
||||
## 🚀 Ready for More?
|
||||
|
||||
**[Learn about contributing →](contributing.md)**
|
||||
|
||||
---
|
||||
|
||||
*Questions? [Join our community](https://github.com/AJaySi/ALwrity/discussions) or [contact support](mailto:support@alwrity.com)!*
|
||||
677
docs-site/docs/user-journeys/developers/scaling.md
Normal file
677
docs-site/docs/user-journeys/developers/scaling.md
Normal file
@@ -0,0 +1,677 @@
|
||||
# Scaling for Developers
|
||||
|
||||
## 🎯 Overview
|
||||
|
||||
This guide helps developers scale ALwrity applications and infrastructure effectively. You'll learn how to handle increased load, optimize performance, implement caching strategies, and build scalable architectures.
|
||||
|
||||
## 🚀 What You'll Achieve
|
||||
|
||||
### Technical Scaling
|
||||
- **Application Scaling**: Scale applications to handle increased load
|
||||
- **Database Scaling**: Scale databases for performance and reliability
|
||||
- **Infrastructure Scaling**: Scale infrastructure components effectively
|
||||
- **Performance Optimization**: Optimize performance for scale
|
||||
|
||||
### Operational Scaling
|
||||
- **Deployment Scaling**: Scale deployment processes and automation
|
||||
- **Monitoring Scaling**: Scale monitoring and observability systems
|
||||
- **Team Scaling**: Scale development team and processes
|
||||
- **Cost Optimization**: Optimize costs while scaling operations
|
||||
|
||||
## 📋 Scaling Strategy Framework
|
||||
|
||||
### Scaling Dimensions
|
||||
**Horizontal Scaling**:
|
||||
1. **Load Balancing**: Distribute load across multiple servers
|
||||
2. **Microservices**: Break applications into microservices
|
||||
3. **Database Sharding**: Shard databases for better performance
|
||||
4. **CDN Implementation**: Implement content delivery networks
|
||||
|
||||
**Vertical Scaling**:
|
||||
- **Resource Enhancement**: Increase CPU, memory, and storage
|
||||
- **Performance Tuning**: Optimize application performance
|
||||
- **Database Optimization**: Optimize database performance
|
||||
- **Caching Implementation**: Implement effective caching strategies
|
||||
|
||||
### Scaling Planning
|
||||
**Capacity Planning**:
|
||||
- **Load Analysis**: Analyze current and projected loads
|
||||
- **Resource Requirements**: Plan resource requirements for scaling
|
||||
- **Performance Targets**: Define performance targets and metrics
|
||||
- **Cost Planning**: Plan scaling costs and budgets
|
||||
|
||||
**Risk Assessment**:
|
||||
- **Performance Risks**: Assess performance risks during scaling
|
||||
- **Reliability Risks**: Evaluate reliability and availability risks
|
||||
- **Cost Risks**: Assess cost implications of scaling
|
||||
- **Technical Risks**: Identify technical challenges and solutions
|
||||
|
||||
## 🛠️ Application Scaling
|
||||
|
||||
### Backend Scaling
|
||||
**API Scaling**:
|
||||
```python
|
||||
# backend/middleware/rate_limiting.py
|
||||
from slowapi import Limiter, _rate_limit_exceeded_handler
|
||||
from slowapi.util import get_remote_address
|
||||
from slowapi.errors import RateLimitExceeded
|
||||
|
||||
limiter = Limiter(key_func=get_remote_address)
|
||||
|
||||
@app.middleware("http")
|
||||
async def rate_limit_middleware(request: Request, call_next):
|
||||
# Rate limiting implementation
|
||||
return await call_next(request)
|
||||
|
||||
@app.get("/api/content/generate")
|
||||
@limiter.limit("10/minute")
|
||||
async def generate_content(request: Request):
|
||||
"""Generate content with rate limiting."""
|
||||
# Content generation logic
|
||||
```
|
||||
|
||||
**Database Scaling**:
|
||||
```python
|
||||
# backend/database/connection_pool.py
|
||||
from sqlalchemy.pool import QueuePool
|
||||
from sqlalchemy import create_engine
|
||||
|
||||
# Connection pooling for scalability
|
||||
engine = create_engine(
|
||||
DATABASE_URL,
|
||||
poolclass=QueuePool,
|
||||
pool_size=20,
|
||||
max_overflow=30,
|
||||
pool_pre_ping=True,
|
||||
pool_recycle=3600
|
||||
)
|
||||
```
|
||||
|
||||
### Frontend Scaling
|
||||
**Component Optimization**:
|
||||
```typescript
|
||||
// frontend/src/components/OptimizedComponent.tsx
|
||||
import React, { memo, lazy, Suspense } from 'react';
|
||||
|
||||
// Lazy loading for better performance
|
||||
const HeavyComponent = lazy(() => import('./HeavyComponent'));
|
||||
|
||||
// Memoized component for performance
|
||||
const OptimizedComponent = memo(({ data }: { data: any[] }) => {
|
||||
return (
|
||||
<div>
|
||||
<Suspense fallback={<div>Loading...</div>}>
|
||||
<HeavyComponent data={data} />
|
||||
</Suspense>
|
||||
</div>
|
||||
);
|
||||
});
|
||||
|
||||
export default OptimizedComponent;
|
||||
```
|
||||
|
||||
**Bundle Optimization**:
|
||||
```javascript
|
||||
// webpack.config.js
|
||||
module.exports = {
|
||||
optimization: {
|
||||
splitChunks: {
|
||||
chunks: 'all',
|
||||
cacheGroups: {
|
||||
vendor: {
|
||||
test: /[\\/]node_modules[\\/]/,
|
||||
name: 'vendors',
|
||||
chunks: 'all',
|
||||
},
|
||||
common: {
|
||||
name: 'common',
|
||||
minChunks: 2,
|
||||
chunks: 'all',
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
};
|
||||
```
|
||||
|
||||
## 📊 Performance Optimization
|
||||
|
||||
### Caching Strategies
|
||||
**Redis Caching**:
|
||||
```python
|
||||
# backend/services/cache_service.py
|
||||
import redis
|
||||
import json
|
||||
from typing import Optional, Any
|
||||
|
||||
class CacheService:
|
||||
def __init__(self):
|
||||
self.redis_client = redis.Redis(
|
||||
host='localhost',
|
||||
port=6379,
|
||||
db=0,
|
||||
decode_responses=True
|
||||
)
|
||||
|
||||
async def get(self, key: str) -> Optional[Any]:
|
||||
"""Get value from cache."""
|
||||
value = self.redis_client.get(key)
|
||||
return json.loads(value) if value else None
|
||||
|
||||
async def set(self, key: str, value: Any, expire: int = 3600):
|
||||
"""Set value in cache with expiration."""
|
||||
self.redis_client.setex(
|
||||
key,
|
||||
expire,
|
||||
json.dumps(value, default=str)
|
||||
)
|
||||
|
||||
async def invalidate(self, pattern: str):
|
||||
"""Invalidate cache keys matching pattern."""
|
||||
keys = self.redis_client.keys(pattern)
|
||||
if keys:
|
||||
self.redis_client.delete(*keys)
|
||||
```
|
||||
|
||||
**Application-Level Caching**:
|
||||
```python
|
||||
# backend/middleware/caching_middleware.py
|
||||
from functools import wraps
|
||||
import hashlib
|
||||
|
||||
def cache_response(expire_seconds: int = 300):
|
||||
def decorator(func):
|
||||
@wraps(func)
|
||||
async def wrapper(*args, **kwargs):
|
||||
# Generate cache key
|
||||
cache_key = f"{func.__name__}:{hashlib.md5(str(kwargs).encode()).hexdigest()}"
|
||||
|
||||
# Check cache
|
||||
cached_result = await cache_service.get(cache_key)
|
||||
if cached_result:
|
||||
return cached_result
|
||||
|
||||
# Execute function and cache result
|
||||
result = await func(*args, **kwargs)
|
||||
await cache_service.set(cache_key, result, expire_seconds)
|
||||
return result
|
||||
return wrapper
|
||||
return decorator
|
||||
```
|
||||
|
||||
### Database Optimization
|
||||
**Query Optimization**:
|
||||
```python
|
||||
# backend/services/optimized_queries.py
|
||||
from sqlalchemy.orm import joinedload, selectinload
|
||||
from sqlalchemy import func, desc
|
||||
|
||||
class OptimizedQueryService:
|
||||
async def get_content_with_relations(self, content_id: int):
|
||||
"""Optimized query with eager loading."""
|
||||
return await self.db.query(Content)\
|
||||
.options(
|
||||
joinedload(Content.author),
|
||||
selectinload(Content.tags),
|
||||
joinedload(Content.seo_analysis)
|
||||
)\
|
||||
.filter(Content.id == content_id)\
|
||||
.first()
|
||||
|
||||
async def get_content_analytics(self, limit: int = 100):
|
||||
"""Optimized analytics query."""
|
||||
return await self.db.query(
|
||||
func.date(Content.created_at).label('date'),
|
||||
func.count(Content.id).label('content_count'),
|
||||
func.avg(Content.quality_score).label('avg_quality')
|
||||
)\
|
||||
.group_by(func.date(Content.created_at))\
|
||||
.order_by(desc('date'))\
|
||||
.limit(limit)\
|
||||
.all()
|
||||
```
|
||||
|
||||
**Database Indexing**:
|
||||
```sql
|
||||
-- backend/database/migrations/add_indexes.sql
|
||||
-- Performance indexes for scaling
|
||||
CREATE INDEX CONCURRENTLY idx_content_created_at ON content(created_at);
|
||||
CREATE INDEX CONCURRENTLY idx_content_author_id ON content(author_id);
|
||||
CREATE INDEX CONCURRENTLY idx_content_status ON content(status);
|
||||
CREATE INDEX CONCURRENTLY idx_seo_analysis_url ON seo_analysis(url);
|
||||
|
||||
-- Composite indexes for complex queries
|
||||
CREATE INDEX CONCURRENTLY idx_content_author_status
|
||||
ON content(author_id, status, created_at);
|
||||
```
|
||||
|
||||
## 🎯 Infrastructure Scaling
|
||||
|
||||
### Container Scaling
|
||||
**Docker Scaling**:
|
||||
```yaml
|
||||
# docker-compose.scale.yml
|
||||
version: '3.8'
|
||||
services:
|
||||
backend:
|
||||
image: alwrity/backend:latest
|
||||
deploy:
|
||||
replicas: 3
|
||||
resources:
|
||||
limits:
|
||||
cpus: '2'
|
||||
memory: 4G
|
||||
reservations:
|
||||
cpus: '1'
|
||||
memory: 2G
|
||||
restart_policy:
|
||||
condition: on-failure
|
||||
delay: 5s
|
||||
max_attempts: 3
|
||||
environment:
|
||||
- DATABASE_POOL_SIZE=20
|
||||
- REDIS_URL=redis://redis:6379/0
|
||||
depends_on:
|
||||
- db
|
||||
- redis
|
||||
|
||||
frontend:
|
||||
image: alwrity/frontend:latest
|
||||
deploy:
|
||||
replicas: 2
|
||||
resources:
|
||||
limits:
|
||||
cpus: '1'
|
||||
memory: 2G
|
||||
environment:
|
||||
- REACT_APP_API_URL=http://backend:8000
|
||||
```
|
||||
|
||||
**Kubernetes Scaling**:
|
||||
```yaml
|
||||
# k8s/deployment.yaml
|
||||
apiVersion: apps/v1
|
||||
kind: Deployment
|
||||
metadata:
|
||||
name: alwrity-backend
|
||||
spec:
|
||||
replicas: 5
|
||||
selector:
|
||||
matchLabels:
|
||||
app: alwrity-backend
|
||||
template:
|
||||
metadata:
|
||||
labels:
|
||||
app: alwrity-backend
|
||||
spec:
|
||||
containers:
|
||||
- name: backend
|
||||
image: alwrity/backend:latest
|
||||
resources:
|
||||
requests:
|
||||
memory: "2Gi"
|
||||
cpu: "1000m"
|
||||
limits:
|
||||
memory: "4Gi"
|
||||
cpu: "2000m"
|
||||
env:
|
||||
- name: DATABASE_URL
|
||||
valueFrom:
|
||||
secretKeyRef:
|
||||
name: alwrity-secrets
|
||||
key: database-url
|
||||
---
|
||||
apiVersion: v1
|
||||
kind: Service
|
||||
metadata:
|
||||
name: alwrity-backend-service
|
||||
spec:
|
||||
selector:
|
||||
app: alwrity-backend
|
||||
ports:
|
||||
- port: 8000
|
||||
targetPort: 8000
|
||||
type: LoadBalancer
|
||||
```
|
||||
|
||||
### Load Balancing
|
||||
**Nginx Configuration**:
|
||||
```nginx
|
||||
# nginx.conf
|
||||
upstream backend {
|
||||
least_conn;
|
||||
server backend1:8000 weight=3;
|
||||
server backend2:8000 weight=3;
|
||||
server backend3:8000 weight=2;
|
||||
}
|
||||
|
||||
upstream frontend {
|
||||
least_conn;
|
||||
server frontend1:3000;
|
||||
server frontend2:3000;
|
||||
}
|
||||
|
||||
server {
|
||||
listen 80;
|
||||
server_name alwrity.com;
|
||||
|
||||
location /api/ {
|
||||
proxy_pass http://backend;
|
||||
proxy_set_header Host $host;
|
||||
proxy_set_header X-Real-IP $remote_addr;
|
||||
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
|
||||
proxy_connect_timeout 30s;
|
||||
proxy_send_timeout 30s;
|
||||
proxy_read_timeout 30s;
|
||||
}
|
||||
|
||||
location / {
|
||||
proxy_pass http://frontend;
|
||||
proxy_set_header Host $host;
|
||||
proxy_set_header X-Real-IP $remote_addr;
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## 📈 Monitoring and Observability
|
||||
|
||||
### Application Monitoring
|
||||
**Metrics Collection**:
|
||||
```python
|
||||
# backend/monitoring/metrics.py
|
||||
from prometheus_client import Counter, Histogram, Gauge, generate_latest
|
||||
import time
|
||||
|
||||
# Application metrics
|
||||
request_count = Counter('http_requests_total', 'Total HTTP requests', ['method', 'endpoint'])
|
||||
request_duration = Histogram('http_request_duration_seconds', 'HTTP request duration')
|
||||
active_connections = Gauge('active_connections', 'Number of active connections')
|
||||
content_generation_time = Histogram('content_generation_seconds', 'Content generation time')
|
||||
|
||||
@app.middleware("http")
|
||||
async def metrics_middleware(request: Request, call_next):
|
||||
start_time = time.time()
|
||||
|
||||
# Increment request counter
|
||||
request_count.labels(
|
||||
method=request.method,
|
||||
endpoint=request.url.path
|
||||
).inc()
|
||||
|
||||
response = await call_next(request)
|
||||
|
||||
# Record request duration
|
||||
duration = time.time() - start_time
|
||||
request_duration.observe(duration)
|
||||
|
||||
return response
|
||||
|
||||
@app.get("/metrics")
|
||||
async def metrics():
|
||||
"""Prometheus metrics endpoint."""
|
||||
return Response(generate_latest(), media_type="text/plain")
|
||||
```
|
||||
|
||||
**Health Checks**:
|
||||
```python
|
||||
# backend/health/health_checks.py
|
||||
from fastapi import Depends
|
||||
from sqlalchemy.orm import Session
|
||||
import redis
|
||||
|
||||
async def database_health_check(db: Session = Depends(get_db)) -> bool:
|
||||
"""Check database connectivity."""
|
||||
try:
|
||||
db.execute("SELECT 1")
|
||||
return True
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
async def redis_health_check() -> bool:
|
||||
"""Check Redis connectivity."""
|
||||
try:
|
||||
redis_client = redis.Redis(host='redis', port=6379)
|
||||
redis_client.ping()
|
||||
return True
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
@app.get("/health")
|
||||
async def health_check():
|
||||
"""Comprehensive health check."""
|
||||
db_healthy = await database_health_check()
|
||||
redis_healthy = await redis_health_check()
|
||||
|
||||
status = "healthy" if db_healthy and redis_healthy else "unhealthy"
|
||||
|
||||
return {
|
||||
"status": status,
|
||||
"database": "healthy" if db_healthy else "unhealthy",
|
||||
"redis": "healthy" if redis_healthy else "unhealthy",
|
||||
"timestamp": datetime.utcnow().isoformat()
|
||||
}
|
||||
```
|
||||
|
||||
### Performance Monitoring
|
||||
**APM Integration**:
|
||||
```python
|
||||
# backend/monitoring/apm.py
|
||||
from elasticapm.contrib.fastapi import ElasticAPM
|
||||
from elasticapm.handlers.logging import LoggingHandler
|
||||
|
||||
# Elastic APM configuration
|
||||
apm = ElasticAPM(
|
||||
app,
|
||||
service_name="alwrity-backend",
|
||||
service_version="1.0.0",
|
||||
environment="production",
|
||||
server_url="http://apm-server:8200",
|
||||
secret_token="your-secret-token"
|
||||
)
|
||||
|
||||
# Custom performance tracking
|
||||
@apm.capture_span("content_generation")
|
||||
async def generate_content(request: ContentRequest):
|
||||
"""Generate content with APM tracking."""
|
||||
# Content generation logic
|
||||
pass
|
||||
```
|
||||
|
||||
## 🛠️ Scaling Best Practices
|
||||
|
||||
### Code Optimization
|
||||
**Performance Best Practices**:
|
||||
1. **Async/Await**: Use async/await for I/O operations
|
||||
2. **Connection Pooling**: Implement database connection pooling
|
||||
3. **Caching**: Implement multi-level caching strategies
|
||||
4. **Lazy Loading**: Use lazy loading for large datasets
|
||||
5. **Batch Processing**: Process data in batches for efficiency
|
||||
|
||||
**Memory Optimization**:
|
||||
```python
|
||||
# backend/utils/memory_optimization.py
|
||||
import gc
|
||||
from typing import Generator
|
||||
|
||||
class MemoryOptimizedProcessor:
|
||||
def process_large_dataset(self, data: list) -> Generator:
|
||||
"""Process large datasets with memory optimization."""
|
||||
batch_size = 1000
|
||||
|
||||
for i in range(0, len(data), batch_size):
|
||||
batch = data[i:i + batch_size]
|
||||
yield self.process_batch(batch)
|
||||
|
||||
# Force garbage collection
|
||||
gc.collect()
|
||||
|
||||
def process_batch(self, batch: list):
|
||||
"""Process a batch of data."""
|
||||
# Batch processing logic
|
||||
pass
|
||||
```
|
||||
|
||||
### Error Handling and Resilience
|
||||
**Circuit Breaker Pattern**:
|
||||
```python
|
||||
# backend/middleware/circuit_breaker.py
|
||||
import asyncio
|
||||
from enum import Enum
|
||||
from typing import Callable, Any
|
||||
|
||||
class CircuitState(Enum):
|
||||
CLOSED = "closed"
|
||||
OPEN = "open"
|
||||
HALF_OPEN = "half_open"
|
||||
|
||||
class CircuitBreaker:
|
||||
def __init__(self, failure_threshold: int = 5, timeout: int = 60):
|
||||
self.failure_threshold = failure_threshold
|
||||
self.timeout = timeout
|
||||
self.failure_count = 0
|
||||
self.last_failure_time = None
|
||||
self.state = CircuitState.CLOSED
|
||||
|
||||
async def call(self, func: Callable, *args, **kwargs) -> Any:
|
||||
"""Execute function with circuit breaker protection."""
|
||||
if self.state == CircuitState.OPEN:
|
||||
if self._should_attempt_reset():
|
||||
self.state = CircuitState.HALF_OPEN
|
||||
else:
|
||||
raise Exception("Circuit breaker is OPEN")
|
||||
|
||||
try:
|
||||
result = await func(*args, **kwargs)
|
||||
self._on_success()
|
||||
return result
|
||||
except Exception as e:
|
||||
self._on_failure()
|
||||
raise e
|
||||
|
||||
def _should_attempt_reset(self) -> bool:
|
||||
"""Check if circuit breaker should attempt reset."""
|
||||
return (
|
||||
self.last_failure_time and
|
||||
time.time() - self.last_failure_time >= self.timeout
|
||||
)
|
||||
|
||||
def _on_success(self):
|
||||
"""Handle successful execution."""
|
||||
self.failure_count = 0
|
||||
self.state = CircuitState.CLOSED
|
||||
|
||||
def _on_failure(self):
|
||||
"""Handle failed execution."""
|
||||
self.failure_count += 1
|
||||
self.last_failure_time = time.time()
|
||||
|
||||
if self.failure_count >= self.failure_threshold:
|
||||
self.state = CircuitState.OPEN
|
||||
```
|
||||
|
||||
## 📊 Scaling Architecture Diagrams
|
||||
|
||||
### System Architecture
|
||||
```mermaid
|
||||
graph TB
|
||||
subgraph "Load Balancer"
|
||||
LB[Nginx Load Balancer]
|
||||
end
|
||||
|
||||
subgraph "Frontend Cluster"
|
||||
F1[Frontend Instance 1]
|
||||
F2[Frontend Instance 2]
|
||||
F3[Frontend Instance 3]
|
||||
end
|
||||
|
||||
subgraph "Backend Cluster"
|
||||
B1[Backend Instance 1]
|
||||
B2[Backend Instance 2]
|
||||
B3[Backend Instance 3]
|
||||
end
|
||||
|
||||
subgraph "Database Cluster"
|
||||
DB1[Primary Database]
|
||||
DB2[Read Replica 1]
|
||||
DB3[Read Replica 2]
|
||||
end
|
||||
|
||||
subgraph "Cache Layer"
|
||||
R1[Redis Instance 1]
|
||||
R2[Redis Instance 2]
|
||||
end
|
||||
|
||||
LB --> F1
|
||||
LB --> F2
|
||||
LB --> F3
|
||||
|
||||
F1 --> B1
|
||||
F2 --> B2
|
||||
F3 --> B3
|
||||
|
||||
B1 --> DB1
|
||||
B2 --> DB1
|
||||
B3 --> DB1
|
||||
|
||||
B1 --> DB2
|
||||
B2 --> DB3
|
||||
B3 --> DB2
|
||||
|
||||
B1 --> R1
|
||||
B2 --> R1
|
||||
B3 --> R2
|
||||
```
|
||||
|
||||
### Scaling Process Flow
|
||||
```mermaid
|
||||
flowchart TD
|
||||
A[Monitor Performance] --> B{Performance OK?}
|
||||
B -->|Yes| C[Continue Normal Operations]
|
||||
B -->|No| D[Analyze Bottlenecks]
|
||||
|
||||
D --> E{Database Issue?}
|
||||
E -->|Yes| F[Scale Database]
|
||||
E -->|No| G{Application Issue?}
|
||||
|
||||
G -->|Yes| H[Scale Application]
|
||||
G -->|No| I{Infrastructure Issue?}
|
||||
|
||||
I -->|Yes| J[Scale Infrastructure]
|
||||
I -->|No| K[Optimize Code]
|
||||
|
||||
F --> L[Update Configuration]
|
||||
H --> L
|
||||
J --> L
|
||||
K --> L
|
||||
|
||||
L --> M[Deploy Changes]
|
||||
M --> N[Monitor Results]
|
||||
N --> A
|
||||
|
||||
C --> O[Regular Health Checks]
|
||||
O --> A
|
||||
```
|
||||
|
||||
## 🎯 Next Steps
|
||||
|
||||
### Immediate Actions (This Week)
|
||||
1. **Performance Baseline**: Establish current performance baselines
|
||||
2. **Monitoring Setup**: Set up comprehensive monitoring and alerting
|
||||
3. **Load Testing**: Conduct load testing to identify bottlenecks
|
||||
4. **Scaling Plan**: Develop scaling strategy and implementation plan
|
||||
|
||||
### Short-Term Planning (This Month)
|
||||
1. **Infrastructure Scaling**: Implement infrastructure scaling solutions
|
||||
2. **Application Optimization**: Optimize applications for better performance
|
||||
3. **Database Scaling**: Implement database scaling strategies
|
||||
4. **Caching Implementation**: Implement comprehensive caching strategies
|
||||
|
||||
### Long-Term Strategy (Next Quarter)
|
||||
1. **Advanced Scaling**: Implement advanced scaling techniques
|
||||
2. **Auto-Scaling**: Implement automatic scaling based on load
|
||||
3. **Performance Excellence**: Achieve performance excellence goals
|
||||
4. **Cost Optimization**: Optimize costs while maintaining performance
|
||||
|
||||
---
|
||||
|
||||
*Ready to scale your application? Start with [Codebase Exploration](codebase-exploration.md) to understand the current architecture before implementing scaling strategies!*
|
||||
382
docs-site/docs/user-journeys/developers/self-host-setup.md
Normal file
382
docs-site/docs/user-journeys/developers/self-host-setup.md
Normal file
@@ -0,0 +1,382 @@
|
||||
# Self-Host Setup for Developers
|
||||
|
||||
## 🎯 Overview
|
||||
|
||||
This guide helps developers set up ALwrity for self-hosting. You'll learn how to deploy ALwrity on your own infrastructure, configure it for your needs, and maintain it independently.
|
||||
|
||||
## 🚀 What You'll Achieve
|
||||
|
||||
### Self-Hosting Benefits
|
||||
- **Full Control**: Complete control over your ALwrity instance
|
||||
- **Data Privacy**: Keep all data on your own infrastructure
|
||||
- **Customization**: Full customization capabilities
|
||||
- **Cost Control**: Predictable hosting costs
|
||||
|
||||
### Technical Requirements
|
||||
- **Server Management**: Basic server administration skills
|
||||
- **Docker Knowledge**: Understanding of Docker containers
|
||||
- **Database Management**: Basic database administration
|
||||
- **Network Configuration**: Basic networking knowledge
|
||||
|
||||
## 📋 Prerequisites
|
||||
|
||||
### System Requirements
|
||||
**Minimum Requirements**:
|
||||
- **CPU**: 2+ cores, 2.0+ GHz
|
||||
- **RAM**: 4+ GB
|
||||
- **Storage**: 20+ GB SSD
|
||||
- **OS**: Ubuntu 20.04+, CentOS 8+, or Docker-compatible OS
|
||||
|
||||
**Recommended Requirements**:
|
||||
- **CPU**: 4+ cores, 3.0+ GHz
|
||||
- **RAM**: 8+ GB
|
||||
- **Storage**: 50+ GB SSD
|
||||
- **Network**: 100+ Mbps connection
|
||||
|
||||
### Software Requirements
|
||||
**Required Software**:
|
||||
- **Docker**: 20.10+
|
||||
- **Docker Compose**: 2.0+
|
||||
- **Git**: Latest version
|
||||
- **Node.js**: 16+ (for frontend)
|
||||
- **Python**: 3.9+ (for backend)
|
||||
|
||||
## 🛠️ Installation Process
|
||||
|
||||
### Step 1: Clone Repository
|
||||
```bash
|
||||
git clone https://github.com/your-org/alwrity.git
|
||||
cd alwrity
|
||||
```
|
||||
|
||||
### Step 2: Environment Configuration
|
||||
```bash
|
||||
# Copy environment template
|
||||
cp backend/env_template.txt backend/.env
|
||||
cp frontend/env_template.txt frontend/.env
|
||||
|
||||
# Edit configuration files
|
||||
nano backend/.env
|
||||
nano frontend/.env
|
||||
```
|
||||
|
||||
### Step 3: Docker Setup
|
||||
```bash
|
||||
# Build and start services
|
||||
docker-compose up -d
|
||||
|
||||
# Check service status
|
||||
docker-compose ps
|
||||
```
|
||||
|
||||
### Step 4: Database Setup
|
||||
```bash
|
||||
# Run database migrations
|
||||
docker-compose exec backend python -m alembic upgrade head
|
||||
|
||||
# Create initial admin user
|
||||
docker-compose exec backend python scripts/create_admin.py
|
||||
```
|
||||
|
||||
## 📊 Configuration
|
||||
|
||||
### Backend Configuration
|
||||
**Environment Variables**:
|
||||
```env
|
||||
# Database Configuration
|
||||
DATABASE_URL=postgresql://user:password@db:5432/alwrity
|
||||
|
||||
# API Configuration
|
||||
API_HOST=0.0.0.0
|
||||
API_PORT=8000
|
||||
DEBUG=false
|
||||
|
||||
# Security Configuration
|
||||
SECRET_KEY=your-secret-key
|
||||
JWT_SECRET=your-jwt-secret
|
||||
|
||||
# External Services
|
||||
OPENAI_API_KEY=your-openai-key
|
||||
STABILITY_API_KEY=your-stability-key
|
||||
```
|
||||
|
||||
### Frontend Configuration
|
||||
**Environment Variables**:
|
||||
```env
|
||||
# API Configuration
|
||||
REACT_APP_API_URL=http://localhost:8000
|
||||
REACT_APP_ENVIRONMENT=production
|
||||
|
||||
# Feature Flags
|
||||
REACT_APP_ENABLE_SEO_DASHBOARD=true
|
||||
REACT_APP_ENABLE_BLOG_WRITER=true
|
||||
```
|
||||
|
||||
### Database Configuration
|
||||
**PostgreSQL Setup**:
|
||||
```yaml
|
||||
# docker-compose.yml
|
||||
services:
|
||||
db:
|
||||
image: postgres:13
|
||||
environment:
|
||||
POSTGRES_DB: alwrity
|
||||
POSTGRES_USER: alwrity_user
|
||||
POSTGRES_PASSWORD: secure_password
|
||||
volumes:
|
||||
- postgres_data:/var/lib/postgresql/data
|
||||
ports:
|
||||
- "5432:5432"
|
||||
```
|
||||
|
||||
## 🎯 Deployment Options
|
||||
|
||||
### Docker Deployment
|
||||
**Single Server**:
|
||||
```bash
|
||||
# Production deployment
|
||||
docker-compose -f docker-compose.prod.yml up -d
|
||||
|
||||
# With SSL/HTTPS
|
||||
docker-compose -f docker-compose.prod.ssl.yml up -d
|
||||
```
|
||||
|
||||
**Multi-Server**:
|
||||
```yaml
|
||||
# docker-compose.cluster.yml
|
||||
services:
|
||||
backend:
|
||||
image: alwrity/backend:latest
|
||||
deploy:
|
||||
replicas: 3
|
||||
resources:
|
||||
limits:
|
||||
cpus: '1'
|
||||
memory: 2G
|
||||
```
|
||||
|
||||
### Kubernetes Deployment
|
||||
**Helm Chart**:
|
||||
```bash
|
||||
# Install ALwrity on Kubernetes
|
||||
helm install alwrity ./helm-chart \
|
||||
--set database.password=secure_password \
|
||||
--set ingress.host=your-domain.com
|
||||
```
|
||||
|
||||
### Cloud Deployment
|
||||
**AWS Deployment**:
|
||||
- **ECS**: Elastic Container Service
|
||||
- **EKS**: Elastic Kubernetes Service
|
||||
- **EC2**: Elastic Compute Cloud
|
||||
|
||||
**Google Cloud Deployment**:
|
||||
- **GKE**: Google Kubernetes Engine
|
||||
- **Cloud Run**: Serverless containers
|
||||
- **Compute Engine**: Virtual machines
|
||||
|
||||
## 📈 Production Setup
|
||||
|
||||
### Security Configuration
|
||||
**SSL/TLS Setup**:
|
||||
```nginx
|
||||
# Nginx configuration
|
||||
server {
|
||||
listen 443 ssl;
|
||||
server_name your-domain.com;
|
||||
|
||||
ssl_certificate /path/to/certificate.crt;
|
||||
ssl_certificate_key /path/to/private.key;
|
||||
|
||||
location / {
|
||||
proxy_pass http://localhost:3000;
|
||||
proxy_set_header Host $host;
|
||||
proxy_set_header X-Real-IP $remote_addr;
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Firewall Configuration**:
|
||||
```bash
|
||||
# UFW firewall setup
|
||||
sudo ufw allow 22/tcp
|
||||
sudo ufw allow 80/tcp
|
||||
sudo ufw allow 443/tcp
|
||||
sudo ufw enable
|
||||
```
|
||||
|
||||
### Monitoring Setup
|
||||
**Health Checks**:
|
||||
```yaml
|
||||
# docker-compose.yml
|
||||
services:
|
||||
backend:
|
||||
healthcheck:
|
||||
test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
|
||||
interval: 30s
|
||||
timeout: 10s
|
||||
retries: 3
|
||||
```
|
||||
|
||||
**Log Management**:
|
||||
```bash
|
||||
# Log rotation
|
||||
sudo logrotate -f /etc/logrotate.d/alwrity
|
||||
```
|
||||
|
||||
## 🛠️ Maintenance
|
||||
|
||||
### Backup Procedures
|
||||
**Database Backup**:
|
||||
```bash
|
||||
# Daily backup script
|
||||
#!/bin/bash
|
||||
docker-compose exec -T db pg_dump -U alwrity_user alwrity > backup_$(date +%Y%m%d).sql
|
||||
```
|
||||
|
||||
**Application Backup**:
|
||||
```bash
|
||||
# Backup volumes
|
||||
docker run --rm -v alwrity_postgres_data:/data -v $(pwd):/backup alpine tar czf /backup/postgres_backup.tar.gz -C /data .
|
||||
```
|
||||
|
||||
### Update Procedures
|
||||
**Application Updates**:
|
||||
```bash
|
||||
# Update application
|
||||
git pull origin main
|
||||
docker-compose build
|
||||
docker-compose up -d
|
||||
```
|
||||
|
||||
**Database Updates**:
|
||||
```bash
|
||||
# Run migrations
|
||||
docker-compose exec backend python -m alembic upgrade head
|
||||
```
|
||||
|
||||
### Troubleshooting
|
||||
**Common Issues**:
|
||||
- **Port Conflicts**: Check for port conflicts
|
||||
- **Memory Issues**: Monitor memory usage
|
||||
- **Database Connection**: Verify database connectivity
|
||||
- **SSL Certificates**: Check certificate validity
|
||||
|
||||
## 🎯 Performance Optimization
|
||||
|
||||
### Resource Optimization
|
||||
**Memory Optimization**:
|
||||
```yaml
|
||||
# docker-compose.yml
|
||||
services:
|
||||
backend:
|
||||
deploy:
|
||||
resources:
|
||||
limits:
|
||||
memory: 2G
|
||||
reservations:
|
||||
memory: 1G
|
||||
```
|
||||
|
||||
**CPU Optimization**:
|
||||
```yaml
|
||||
services:
|
||||
backend:
|
||||
deploy:
|
||||
resources:
|
||||
limits:
|
||||
cpus: '2'
|
||||
reservations:
|
||||
cpus: '1'
|
||||
```
|
||||
|
||||
### Caching Setup
|
||||
**Redis Configuration**:
|
||||
```yaml
|
||||
services:
|
||||
redis:
|
||||
image: redis:alpine
|
||||
command: redis-server --appendonly yes
|
||||
volumes:
|
||||
- redis_data:/data
|
||||
```
|
||||
|
||||
## 📊 Monitoring and Logging
|
||||
|
||||
### Application Monitoring
|
||||
**Health Endpoints**:
|
||||
```python
|
||||
@app.get("/health")
|
||||
async def health_check():
|
||||
return {"status": "healthy", "timestamp": datetime.utcnow()}
|
||||
```
|
||||
|
||||
**Metrics Collection**:
|
||||
```python
|
||||
from prometheus_client import Counter, Histogram
|
||||
|
||||
request_count = Counter('requests_total', 'Total requests')
|
||||
request_duration = Histogram('request_duration_seconds', 'Request duration')
|
||||
```
|
||||
|
||||
### Log Management
|
||||
**Structured Logging**:
|
||||
```python
|
||||
import structlog
|
||||
|
||||
logger = structlog.get_logger()
|
||||
logger.info("User login", user_id=user.id, ip_address=request.client.host)
|
||||
```
|
||||
|
||||
## 🎯 Security Best Practices
|
||||
|
||||
### Security Hardening
|
||||
**Container Security**:
|
||||
```dockerfile
|
||||
# Use non-root user
|
||||
RUN adduser --disabled-password --gecos '' alwrity
|
||||
USER alwrity
|
||||
```
|
||||
|
||||
**Network Security**:
|
||||
```yaml
|
||||
# docker-compose.yml
|
||||
networks:
|
||||
alwrity_network:
|
||||
driver: bridge
|
||||
internal: true
|
||||
```
|
||||
|
||||
### Access Control
|
||||
**SSH Configuration**:
|
||||
```bash
|
||||
# Disable root login
|
||||
echo "PermitRootLogin no" >> /etc/ssh/sshd_config
|
||||
|
||||
# Use key-based authentication
|
||||
echo "PasswordAuthentication no" >> /etc/ssh/sshd_config
|
||||
```
|
||||
|
||||
## 🎯 Next Steps
|
||||
|
||||
### Immediate Actions (This Week)
|
||||
1. **Server Setup**: Set up your server and install prerequisites
|
||||
2. **Repository Clone**: Clone ALwrity repository
|
||||
3. **Environment Setup**: Configure environment variables
|
||||
4. **Initial Deployment**: Deploy ALwrity using Docker
|
||||
|
||||
### Short-Term Planning (This Month)
|
||||
1. **Production Setup**: Configure for production use
|
||||
2. **SSL Setup**: Configure SSL/TLS certificates
|
||||
3. **Monitoring Setup**: Implement monitoring and logging
|
||||
4. **Backup Procedures**: Set up backup and recovery procedures
|
||||
|
||||
### Long-Term Strategy (Next Quarter)
|
||||
1. **Performance Optimization**: Optimize performance and resources
|
||||
2. **Security Hardening**: Implement security best practices
|
||||
3. **High Availability**: Implement high availability setup
|
||||
4. **Automation**: Automate deployment and maintenance procedures
|
||||
|
||||
---
|
||||
|
||||
*Ready to self-host ALwrity? Start with the [API Quickstart](api-quickstart.md) to understand the platform architecture before setting up your own instance!*
|
||||
445
docs-site/docs/user-journeys/developers/team-collaboration.md
Normal file
445
docs-site/docs/user-journeys/developers/team-collaboration.md
Normal file
@@ -0,0 +1,445 @@
|
||||
# Team Collaboration for Developers
|
||||
|
||||
## 🎯 Overview
|
||||
|
||||
This guide helps developers collaborate effectively on ALwrity development. You'll learn best practices for team development, code collaboration, project management, and maintaining code quality in a team environment.
|
||||
|
||||
## 🚀 What You'll Achieve
|
||||
|
||||
### Effective Collaboration
|
||||
- **Code Collaboration**: Effective code sharing and collaboration practices
|
||||
- **Project Management**: Team project management and coordination
|
||||
- **Quality Assurance**: Maintain code quality in team environment
|
||||
- **Knowledge Sharing**: Share knowledge and expertise effectively
|
||||
|
||||
### Team Development
|
||||
- **Version Control**: Effective use of Git and version control
|
||||
- **Code Reviews**: Implement effective code review processes
|
||||
- **Continuous Integration**: Set up CI/CD for team development
|
||||
- **Documentation**: Maintain team documentation and standards
|
||||
|
||||
## 📋 Collaboration Framework
|
||||
|
||||
### Development Workflow
|
||||
**Git Workflow**:
|
||||
1. **Feature Branches**: Create feature branches for new development
|
||||
2. **Code Reviews**: All code must be reviewed before merging
|
||||
3. **Testing**: All code must pass tests before merging
|
||||
4. **Documentation**: Update documentation with code changes
|
||||
|
||||
**Branch Strategy**:
|
||||
- **Main Branch**: Stable production code
|
||||
- **Develop Branch**: Integration branch for features
|
||||
- **Feature Branches**: Individual feature development
|
||||
- **Hotfix Branches**: Critical bug fixes
|
||||
|
||||
### Team Roles
|
||||
**Development Roles**:
|
||||
- **Lead Developer**: Technical leadership and architecture decisions
|
||||
- **Senior Developers**: Complex feature development and mentoring
|
||||
- **Junior Developers**: Feature development and learning
|
||||
- **DevOps Engineer**: Infrastructure and deployment management
|
||||
|
||||
**Collaboration Roles**:
|
||||
- **Product Owner**: Feature requirements and prioritization
|
||||
- **QA Engineer**: Testing and quality assurance
|
||||
- **Technical Writer**: Documentation and user guides
|
||||
- **UI/UX Designer**: User interface and experience design
|
||||
|
||||
## 🛠️ Version Control Best Practices
|
||||
|
||||
### Git Workflow
|
||||
**Branch Naming Convention**:
|
||||
```bash
|
||||
# Feature branches
|
||||
feature/user-authentication
|
||||
feature/seo-dashboard-enhancement
|
||||
feature/blog-writer-improvements
|
||||
|
||||
# Bug fix branches
|
||||
bugfix/login-error-handling
|
||||
bugfix/seo-analysis-timeout
|
||||
|
||||
# Hotfix branches
|
||||
hotfix/critical-security-patch
|
||||
hotfix/database-connection-issue
|
||||
```
|
||||
|
||||
**Commit Message Standards**:
|
||||
```bash
|
||||
# Commit message format
|
||||
<type>(<scope>): <description>
|
||||
|
||||
# Examples
|
||||
feat(auth): add OAuth2 authentication support
|
||||
fix(seo): resolve SEO analysis timeout issue
|
||||
docs(api): update API documentation for new endpoints
|
||||
test(blog): add unit tests for blog writer service
|
||||
```
|
||||
|
||||
### Pull Request Process
|
||||
**PR Template**:
|
||||
```markdown
|
||||
## Description
|
||||
Brief description of changes
|
||||
|
||||
## Type of Change
|
||||
- [ ] Bug fix
|
||||
- [ ] New feature
|
||||
- [ ] Breaking change
|
||||
- [ ] Documentation update
|
||||
|
||||
## Testing
|
||||
- [ ] Unit tests pass
|
||||
- [ ] Integration tests pass
|
||||
- [ ] Manual testing completed
|
||||
|
||||
## Checklist
|
||||
- [ ] Code follows style guidelines
|
||||
- [ ] Self-review completed
|
||||
- [ ] Documentation updated
|
||||
- [ ] No breaking changes
|
||||
```
|
||||
|
||||
## 📊 Code Review Process
|
||||
|
||||
### Review Guidelines
|
||||
**Code Quality Standards**:
|
||||
- **Functionality**: Code works as intended
|
||||
- **Readability**: Code is easy to read and understand
|
||||
- **Performance**: Code performs efficiently
|
||||
- **Security**: Code follows security best practices
|
||||
- **Testing**: Code includes appropriate tests
|
||||
|
||||
**Review Checklist**:
|
||||
- [ ] Code follows project conventions
|
||||
- [ ] No obvious bugs or issues
|
||||
- [ ] Proper error handling
|
||||
- [ ] Adequate test coverage
|
||||
- [ ] Documentation updated
|
||||
- [ ] No security vulnerabilities
|
||||
|
||||
### Review Process
|
||||
**Review Assignment**:
|
||||
```yaml
|
||||
# .github/CODEOWNERS
|
||||
# Global owners
|
||||
* @team-lead @senior-dev
|
||||
|
||||
# Backend specific
|
||||
/backend/ @backend-team
|
||||
|
||||
# Frontend specific
|
||||
/frontend/ @frontend-team
|
||||
|
||||
# API documentation
|
||||
/docs/api/ @api-team @tech-writer
|
||||
```
|
||||
|
||||
**Review Timeline**:
|
||||
- **Initial Review**: Within 24 hours
|
||||
- **Follow-up Reviews**: Within 12 hours
|
||||
- **Final Approval**: Within 48 hours
|
||||
- **Emergency Reviews**: Within 4 hours
|
||||
|
||||
## 🎯 Project Management
|
||||
|
||||
### Task Management
|
||||
**Issue Tracking**:
|
||||
```markdown
|
||||
# Issue Template
|
||||
## User Story
|
||||
As a [user type], I want [functionality] so that [benefit]
|
||||
|
||||
## Acceptance Criteria
|
||||
- [ ] Criterion 1
|
||||
- [ ] Criterion 2
|
||||
- [ ] Criterion 3
|
||||
|
||||
## Technical Requirements
|
||||
- Backend changes required
|
||||
- Frontend changes required
|
||||
- Database changes required
|
||||
- API changes required
|
||||
|
||||
## Definition of Done
|
||||
- [ ] Code implemented and tested
|
||||
- [ ] Code reviewed and approved
|
||||
- [ ] Documentation updated
|
||||
- [ ] Deployed to staging
|
||||
- [ ] User acceptance testing passed
|
||||
```
|
||||
|
||||
**Sprint Planning**:
|
||||
- **Sprint Duration**: 2 weeks
|
||||
- **Sprint Planning**: First day of sprint
|
||||
- **Daily Standups**: 15-minute daily meetings
|
||||
- **Sprint Review**: Demo and retrospective
|
||||
|
||||
### Communication Tools
|
||||
**Development Communication**:
|
||||
- **Slack**: Daily communication and quick questions
|
||||
- **GitHub Issues**: Bug tracking and feature requests
|
||||
- **Pull Requests**: Code discussion and review
|
||||
- **Wiki**: Documentation and knowledge sharing
|
||||
|
||||
**Meeting Structure**:
|
||||
- **Daily Standups**: Progress updates and blockers
|
||||
- **Sprint Planning**: Sprint goal and task assignment
|
||||
- **Sprint Review**: Demo and feedback
|
||||
- **Retrospective**: Process improvement discussion
|
||||
|
||||
## 🛠️ Development Tools
|
||||
|
||||
### IDE and Editor Setup
|
||||
**Recommended Tools**:
|
||||
- **VS Code**: Popular choice with excellent extensions
|
||||
- **PyCharm**: Professional Python development
|
||||
- **WebStorm**: Professional JavaScript/TypeScript development
|
||||
- **Vim/Neovim**: Lightweight and powerful
|
||||
|
||||
**Shared Configuration**:
|
||||
```json
|
||||
// .vscode/settings.json
|
||||
{
|
||||
"editor.formatOnSave": true,
|
||||
"editor.codeActionsOnSave": {
|
||||
"source.organizeImports": true
|
||||
},
|
||||
"python.defaultInterpreterPath": "./backend/venv/bin/python",
|
||||
"typescript.preferences.importModuleSpecifier": "relative"
|
||||
}
|
||||
```
|
||||
|
||||
### Code Quality Tools
|
||||
**Backend Tools**:
|
||||
```python
|
||||
# pyproject.toml
|
||||
[tool.black]
|
||||
line-length = 88
|
||||
target-version = ['py39']
|
||||
|
||||
[tool.isort]
|
||||
profile = "black"
|
||||
multi_line_output = 3
|
||||
|
||||
[tool.pytest.ini_options]
|
||||
testpaths = ["tests"]
|
||||
python_files = ["test_*.py"]
|
||||
```
|
||||
|
||||
**Frontend Tools**:
|
||||
```json
|
||||
// package.json
|
||||
{
|
||||
"scripts": {
|
||||
"lint": "eslint src --ext .ts,.tsx",
|
||||
"lint:fix": "eslint src --ext .ts,.tsx --fix",
|
||||
"format": "prettier --write src/**/*.{ts,tsx,css}",
|
||||
"type-check": "tsc --noEmit"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## 📈 Continuous Integration
|
||||
|
||||
### CI/CD Pipeline
|
||||
**GitHub Actions Workflow**:
|
||||
```yaml
|
||||
# .github/workflows/ci.yml
|
||||
name: CI/CD Pipeline
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [ main, develop ]
|
||||
pull_request:
|
||||
branches: [ main, develop ]
|
||||
|
||||
jobs:
|
||||
test:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v3
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v4
|
||||
with:
|
||||
python-version: '3.9'
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
cd backend
|
||||
pip install -r requirements.txt
|
||||
|
||||
- name: Run tests
|
||||
run: |
|
||||
cd backend
|
||||
pytest
|
||||
|
||||
- name: Set up Node.js
|
||||
uses: actions/setup-node@v3
|
||||
with:
|
||||
node-version: '16'
|
||||
|
||||
- name: Install frontend dependencies
|
||||
run: |
|
||||
cd frontend
|
||||
npm install
|
||||
|
||||
- name: Run frontend tests
|
||||
run: |
|
||||
cd frontend
|
||||
npm test
|
||||
```
|
||||
|
||||
### Quality Gates
|
||||
**Automated Checks**:
|
||||
- **Code Formatting**: Black/isort for Python, Prettier for TypeScript
|
||||
- **Linting**: flake8 for Python, ESLint for TypeScript
|
||||
- **Type Checking**: mypy for Python, TypeScript compiler
|
||||
- **Testing**: pytest for Python, Jest for TypeScript
|
||||
- **Security**: bandit for Python, npm audit for Node.js
|
||||
|
||||
## 🎯 Knowledge Sharing
|
||||
|
||||
### Documentation Standards
|
||||
**Code Documentation**:
|
||||
```python
|
||||
def analyze_seo_performance(url: str, keywords: List[str]) -> SEOAnalysis:
|
||||
"""
|
||||
Analyze SEO performance for a given URL.
|
||||
|
||||
Args:
|
||||
url: The URL to analyze
|
||||
keywords: List of target keywords
|
||||
|
||||
Returns:
|
||||
SEOAnalysis object with analysis results
|
||||
|
||||
Raises:
|
||||
ValidationError: If URL is invalid
|
||||
AnalysisError: If analysis fails
|
||||
"""
|
||||
# Implementation here
|
||||
```
|
||||
|
||||
**API Documentation**:
|
||||
```python
|
||||
@app.get("/api/seo/analyze", response_model=SEOAnalysisResponse)
|
||||
async def analyze_seo(
|
||||
url: str = Query(..., description="URL to analyze"),
|
||||
keywords: List[str] = Query(..., description="Target keywords")
|
||||
) -> SEOAnalysisResponse:
|
||||
"""
|
||||
Analyze SEO performance for a URL.
|
||||
|
||||
This endpoint performs comprehensive SEO analysis including:
|
||||
- Technical SEO audit
|
||||
- Content analysis
|
||||
- Performance metrics
|
||||
- Keyword optimization
|
||||
|
||||
Returns detailed analysis results and recommendations.
|
||||
"""
|
||||
```
|
||||
|
||||
### Knowledge Base
|
||||
**Team Wiki Structure**:
|
||||
```
|
||||
docs/
|
||||
├── architecture/ # System architecture documentation
|
||||
├── api/ # API documentation
|
||||
├── deployment/ # Deployment guides
|
||||
├── development/ # Development guides
|
||||
├── troubleshooting/ # Common issues and solutions
|
||||
└── best-practices/ # Team best practices
|
||||
```
|
||||
|
||||
## 🛠️ Conflict Resolution
|
||||
|
||||
### Code Conflicts
|
||||
**Merge Conflict Resolution**:
|
||||
```bash
|
||||
# When conflicts occur
|
||||
git status # Check conflict files
|
||||
git diff # Review conflicts
|
||||
# Edit files to resolve conflicts
|
||||
git add <resolved-files> # Stage resolved files
|
||||
git commit # Commit resolution
|
||||
```
|
||||
|
||||
**Conflict Prevention**:
|
||||
- **Frequent Syncing**: Pull latest changes regularly
|
||||
- **Small Commits**: Make small, focused commits
|
||||
- **Clear Communication**: Communicate about overlapping work
|
||||
- **Feature Flags**: Use feature flags for incomplete features
|
||||
|
||||
### Team Conflicts
|
||||
**Resolution Process**:
|
||||
1. **Direct Communication**: Discuss issues directly with team members
|
||||
2. **Team Lead Mediation**: Escalate to team lead if needed
|
||||
3. **Technical Decision**: Use technical decision records (TDRs)
|
||||
4. **Team Retrospective**: Address process issues in retrospectives
|
||||
|
||||
## 📊 Performance Metrics
|
||||
|
||||
### Team Metrics
|
||||
**Development Metrics**:
|
||||
- **Velocity**: Story points completed per sprint
|
||||
- **Cycle Time**: Time from start to completion
|
||||
- **Lead Time**: Time from request to delivery
|
||||
- **Code Review Time**: Average time for code reviews
|
||||
|
||||
**Quality Metrics**:
|
||||
- **Bug Rate**: Bugs found per feature
|
||||
- **Test Coverage**: Percentage of code covered by tests
|
||||
- **Code Review Coverage**: Percentage of code reviewed
|
||||
- **Technical Debt**: Estimated technical debt
|
||||
|
||||
### Individual Metrics
|
||||
**Developer Metrics**:
|
||||
- **Commit Frequency**: Regular contribution to codebase
|
||||
- **Code Review Participation**: Active participation in reviews
|
||||
- **Documentation Contribution**: Contribution to documentation
|
||||
- **Knowledge Sharing**: Sharing knowledge with team
|
||||
|
||||
## 🎯 Best Practices
|
||||
|
||||
### Team Best Practices
|
||||
**Communication**:
|
||||
1. **Be Clear**: Communicate clearly and concisely
|
||||
2. **Be Respectful**: Respect different opinions and approaches
|
||||
3. **Be Proactive**: Share information proactively
|
||||
4. **Be Collaborative**: Work together towards common goals
|
||||
5. **Be Constructive**: Provide constructive feedback
|
||||
|
||||
**Development Practices**:
|
||||
- **Code Reviews**: All code must be reviewed
|
||||
- **Testing**: Write tests for all new code
|
||||
- **Documentation**: Document all changes
|
||||
- **Security**: Follow security best practices
|
||||
- **Performance**: Consider performance implications
|
||||
|
||||
## 🎯 Next Steps
|
||||
|
||||
### Immediate Actions (This Week)
|
||||
1. **Team Setup**: Set up team communication channels
|
||||
2. **Workflow Establishment**: Establish development workflow
|
||||
3. **Tool Configuration**: Configure development tools
|
||||
4. **Initial Planning**: Plan first sprint or milestone
|
||||
|
||||
### Short-Term Planning (This Month)
|
||||
1. **Process Refinement**: Refine development processes
|
||||
2. **Team Training**: Train team on tools and processes
|
||||
3. **First Features**: Complete first team features
|
||||
4. **Retrospective**: Conduct first team retrospective
|
||||
|
||||
### Long-Term Strategy (Next Quarter)
|
||||
1. **Process Optimization**: Optimize development processes
|
||||
2. **Team Scaling**: Scale team and processes
|
||||
3. **Knowledge Sharing**: Establish knowledge sharing culture
|
||||
4. **Continuous Improvement**: Implement continuous improvement practices
|
||||
|
||||
---
|
||||
|
||||
*Ready to collaborate effectively? Start with [Codebase Exploration](codebase-exploration.md) to understand the project structure before joining the development team!*
|
||||
Reference in New Issue
Block a user