# Django-RQ Documentation

Complete documentation for Django-RQ integration in django-cfg.

## 📚 Documentation Files

### 1. [overview.md](./overview) - Introduction & Quick Start
- **What**: High-level overview of Django-RQ integration
- **Content**: Features, comparison with alternatives, quick start guide
- **Diagrams**: 2 Mermaid diagrams (architecture overview, job lifecycle)
- **Size**: 17 KB

**Key Topics:**
- Why Django-RQ vs Celery/Dramatiq
- Key features and benefits
- Quick configuration examples
- Task examples
- Performance benchmarks

### 2. [architecture.md](./architecture) - System Design & Components
- **What**: Deep dive into Django-RQ architecture
- **Content**: Component interaction, data flow, deployment patterns
- **Diagrams**: 15+ Mermaid diagrams
- **Size**: 18 KB

**Key Topics:**
- System overview and components
- Configuration layer (Pydantic models)
- Task execution flow
- Queue management strategy
- Scheduler architecture
- Monitoring architecture
- Integration patterns
- Performance optimization
- Deployment architectures

### 3. [configuration.md](./configuration) - Setup Guide
- **What**: Complete configuration reference
- **Content**: All config options with examples and best practices
- **Size**: 22 KB

**Key Topics:**
- Minimal vs complete configuration
- Configuration models (DjangoRQConfig, RQQueueConfig, RQScheduleConfig)
- Queue configuration patterns
- Schedule configuration (cron, interval, one-time)
- Redis configuration (standard, SSL, Sentinel)
- Environment-based configuration
- Validation rules
- Best practices

### 4. [examples.md](./examples) - Real-World Examples
- **What**: Comprehensive code examples
- **Content**: Real tasks from solution/projects/django project
- **Size**: 29 KB

**Key Topics:**
- Simple tasks
- Real-world examples from crypto app:
  - `update_coin_prices` - Update cryptocurrency prices
  - `import_coins` - Import coin data
  - `generate_report` - Generate market reports
- Email tasks (welcome, bulk newsletter)
- Long-running tasks with progress tracking
- Task retry patterns
- Job dependencies
- Scheduled tasks
- Error handling
- Testing
- Performance tips

### 5. [monitoring.md](./monitoring) - Monitoring & Observability
- **What**: Complete monitoring guide
- **Content**: All monitoring methods and tools
- **Size**: 9.3 KB

**Key Topics:**
- Django Admin interface
- REST API endpoints
- Prometheus metrics
- CLI commands (rqstats, rqworker, rqscheduler)
- Web dashboard
- Best practices
- Alerting setup
- Troubleshooting

### 6. [deployment.md](./deployment) - Production Deployment Guide
- **What**: Complete deployment guide for all platforms
- **Content**: Docker, Kubernetes, Cloud platforms, local development
- **Size**: 25 KB

**Key Topics:**
- Docker Compose deployment (production & local)
- Kubernetes manifests (Deployments, Services, ConfigMaps)
- Cloud platforms (AWS ECS, GCP Cloud Run, Heroku)
- Environment configuration
- Scaling strategies (horizontal & vertical)
- Health checks and monitoring
- Security best practices
- Troubleshooting guide
- Migration checklist (ReArq → RQ, Celery → RQ)

## 🎯 Documentation Statistics

- **Total Files**: 6 markdown files + 1 category config
- **Total Size**: ~120 KB
- **Mermaid Diagrams**: 18+
- **Code Examples**: 60+
- **Real-world Tasks**: 3 (from solution project)
- **Deployment Platforms**: 4 (Docker, K8s, AWS, GCP)

## 📊 Mermaid Diagrams

### overview.md (2 diagrams)
1. Architecture Overview - Shows Django, Redis, Workers, Monitoring
2. Component Interaction - Sequence diagram of job lifecycle

### architecture.md (15 diagrams)
1. System Overview - Complete component graph
2. Configuration Models - Class diagram (Pydantic models)
3. Django-RQ Integration - Sequence diagram
4. Task Execution Flow - Detailed sequence diagram
5. Queue Management - Multi-queue strategy
6. Scheduler Architecture - Cron/interval/one-time scheduling
7. Schedule Registration - Sequence diagram
8. REST API Layer - API architecture
9. Data Flow - API data flow sequence
10. Pydantic Models - Class diagram (RQJobModel, RQQueueModel, etc.)
11. Enqueue Patterns - Integration points
12. Result Handling - Multiple result access methods
13. Error Handling - State diagram with retry logic
14. Worker Pool - Multi-process architecture
15. Redis Data Structures - Key structure graph
16. Connection Pooling - Sequence diagram
17. Single-Server Deployment - Deployment diagram
18. Multi-Server Deployment - HA deployment diagram

## 🔗 References

### Solution Project Examples
Documentation is based on real code from:
- `solution/projects/django/api/config.py` - Configuration example
- `solution/projects/django/apps/crypto/tasks.py` - Task examples
- `solution/projects/django/apps/crypto/management/commands/` - CLI examples

### Implementation
Documentation describes implementation in:
- `projects/django-cfg-dev/src/django_cfg/apps/rq/` - RQ integration
- `projects/django-cfg-dev/src/django_cfg/models/django/django_rq.py` - Config models

## 🚀 Quick Links

- **Start Here**: [overview.md](./overview) - Introduction & Quick Start
- **Design Deep Dive**: [architecture.md](./architecture) - Architecture & Components
- **Setup Guide**: [configuration.md](./configuration) - Configuration Reference
- **Code Examples**: [examples.md](./examples) - Real-World Examples
- **Operations**: [monitoring.md](./monitoring) - Monitoring & Observability
- **Deployment**: [deployment.md](./deployment) - Production Deployment

## 📝 Documentation Style

- **Markdown**: GitHub-flavored markdown with Docusaurus extensions
- **Code Examples**: Python with syntax highlighting
- **Diagrams**: Mermaid.js for all visualizations
- **Structure**: Hierarchical with clear sections
- **Cross-references**: Links between related sections
- **Best Practices**: Dedicated sections in each document
- **Production-ready**: Focus on real-world usage

## ✅ Coverage

Documentation covers:
- ✅ Quick start and setup
- ✅ Complete configuration reference
- ✅ System architecture and design
- ✅ Real-world code examples
- ✅ Monitoring and observability
- ✅ Production deployment (Docker, K8s, Cloud)
- ✅ Best practices and patterns
- ✅ Troubleshooting guide
- ✅ Performance optimization
- ✅ Scaling strategies
- ✅ Security checklist
- ✅ Migration guides (ReArq, Celery)
- ✅ Testing strategies

## 📦 Integration with Docusaurus

Files are ready for Docusaurus:
- `_category_.json` - Sidebar configuration
- Frontmatter with metadata (title, description, tags)
- Proper sidebar positioning
- Cross-document links
- Mermaid diagram support
