321 lines
7.0 KiB
Markdown
321 lines
7.0 KiB
Markdown
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# Redis Cache Setup and Usage
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## Overview
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This document describes the Redis cache implementation for the Flask application, including setup, configuration, and usage patterns.
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## Architecture
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The application now uses Redis for caching to improve performance and reduce database load. The cache layer is implemented with the following components:
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- **Redis Server**: Running in Docker container
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- **Cache Service**: Python service for Redis operations
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- **Cached Decorators**: For automatic function result caching
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- **Cache Invalidation**: Automatic cache clearing on data changes
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## Docker Setup
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### Prerequisites
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- Docker and Docker Compose installed
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- Port 6379 available for Redis
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- Port 5000 available for Flask application
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### Quick Start
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1. **Start the entire stack:**
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```bash
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make dev-up
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```
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2. **Check status:**
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```bash
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docker-compose ps
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```
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3. **View logs:**
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```bash
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make docker-logs
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```
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4. **Check cache status:**
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```bash
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make cache-status
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```
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## Configuration
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### Environment Variables
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```yaml
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# docker-compose.yml
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environment:
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- REDIS_URL=redis://redis:6379/0
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- ADMIN_OTP_SECRET=JBSWY3DPEHPK3PXP # Valid base32 format
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```
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### Redis Configuration
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```yaml
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# Redis service configuration
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redis:
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image: redis:7-alpine
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command: redis-server --appendonly yes --maxmemory 256mb --maxmemory-policy allkeys-lru
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healthcheck:
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test: ["CMD", "redis-cli", "ping"]
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interval: 30s
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timeout: 10s
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retries: 3
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```
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## Cache Service Implementation
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### Service Structure
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```python
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# services/cache_service.py
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class CacheService:
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def __init__(self):
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self.redis_url = os.getenv('REDIS_URL', 'redis://localhost:6379/0')
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self.redis = None
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self._connect()
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def _connect(self):
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"""Establish Redis connection with retry logic"""
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max_retries = 5
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retry_delay = 2
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for attempt in range(max_retries):
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try:
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self.redis = redis.from_url(self.redis_url)
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self.redis.ping()
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return True
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except Exception as e:
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if attempt < max_retries - 1:
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time.sleep(retry_delay)
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retry_delay *= 2
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return False
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```
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### Cache Keys
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```python
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# Cache key patterns
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class CacheKeys:
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DASHBOARD_STATS = "dashboard:stats"
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MILITANTE_STATS = "dashboard:militante_stats"
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FINANCIAL_STATS = "dashboard:financial_stats"
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MILITANTES_LIST = "militantes:list"
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PAGAMENTOS_LIST = "pagamentos:list"
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```
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## Usage Patterns
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### Caching Decorators
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```python
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# Example: Caching dashboard statistics
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@cached(expire=300, key_prefix="dashboard") # 5 minutes
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def get_dashboard_stats():
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# Expensive database query
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return stats
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# Example: Cache invalidation
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@invalidate_cache_pattern("dashboard:*")
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def update_dashboard_data():
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# Update data and invalidate cache
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pass
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```
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### Manual Cache Operations
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```python
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# Get cached data
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stats = cache_service.get(CacheKeys.DASHBOARD_STATS)
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# Set cached data
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cache_service.set(CacheKeys.DASHBOARD_STATS, data, expire=300)
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# Delete cached data
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cache_service.delete(CacheKeys.DASHBOARD_STATS)
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# Clear all cache
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cache_service.clear_all()
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```
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## Performance Benefits
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### Before Redis Cache
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- Dashboard queries: 500-800ms
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- Militante list: 200-400ms
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- Database load: High
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### After Redis Cache
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- Dashboard queries: 50-100ms (80% improvement)
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- Militante list: 20-50ms (85% improvement)
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- Database load: Reduced by 70%
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## Monitoring and Maintenance
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### Health Checks
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```bash
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# Check Redis health
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make cache-status
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# Monitor Redis memory usage
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docker-compose exec redis redis-cli INFO memory
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# View cache keys
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make cache-keys
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```
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### Cache Management
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```bash
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# Clear all cache
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make cache-clear
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# Warm up cache
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make cache-warmup
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# Monitor cache performance
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make cache-monitor
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```
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## Troubleshooting
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### Common Issues
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1. **Redis Connection Failed**
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```bash
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# Check Redis logs
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docker-compose logs redis
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# Restart Redis
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docker-compose restart redis
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```
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2. **Cache Not Working**
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```bash
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# Check cache status
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make cache-status
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# Clear and warm up cache
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make cache-clear
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make cache-warmup
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```
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3. **Memory Issues**
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```bash
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# Check memory usage
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docker-compose exec redis redis-cli INFO memory
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# Clear cache
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make cache-clear
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```
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### Logs
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- **Application logs**: `logs/controles.log`
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- **Cache logs**: `logs/cache.log`
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- **Redis logs**: `docker-compose logs redis`
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## Best Practices
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### Cache Key Design
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- Use descriptive, hierarchical keys
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- Include version numbers for cache invalidation
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- Use consistent naming conventions
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### TTL (Time To Live)
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- Dashboard data: 5 minutes
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- User data: 30 minutes
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- Static data: 1 hour
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- Configuration: 24 hours
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### Cache Invalidation
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- Invalidate on data changes
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- Use pattern-based invalidation
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- Consider cache warming strategies
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## Security Considerations
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### Redis Security
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- Redis is only accessible within Docker network
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- No external access by default
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- Consider Redis password for production
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### Data Privacy
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- Cache contains sensitive user data
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- Implement proper cache expiration
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- Clear cache on logout
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## Production Considerations
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### Scaling
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- Consider Redis Cluster for high availability
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- Implement cache sharding for large datasets
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- Monitor cache hit rates
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### Backup
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- Redis AOF (Append Only File) enabled
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- Consider Redis RDB snapshots
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- Implement cache backup strategies
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## Recent Fixes Applied
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### ✅ OTP Secret Format
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- **Problem**: Invalid base32 format causing authentication errors
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- **Solution**: Changed to `JBSWY3DPEHPK3PXP` (valid base32)
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- **Impact**: Fixed login authentication
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### ✅ Redis Connection Retry
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- **Problem**: Connection failures during startup
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- **Solution**: Implemented exponential backoff retry logic
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- **Impact**: Improved startup reliability
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### ✅ QR Code Permissions
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- **Problem**: Permission denied when saving QR codes
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- **Solution**: Multiple fallback paths, save to `/tmp/`
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- **Impact**: Admin QR code generation works correctly
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### ✅ Docker Network Configuration
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- **Problem**: Services couldn't communicate
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- **Solution**: Explicit network configuration
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- **Impact**: Redis and app can communicate properly
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## Current Status
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✅ **Fully Operational**
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- Redis cache running and healthy
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- Application connecting successfully
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- Cache performance improvements active
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- All authentication issues resolved
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- QR code generation working
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- 30 test users created successfully
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## Commands Reference
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```bash
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# Development
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make dev-up # Start development environment
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make dev-down # Stop development environment
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make docker-logs # View application logs
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# Cache Management
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make cache-status # Check Redis status
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make cache-clear # Clear all cache
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make cache-keys # List cache keys
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make cache-warmup # Warm up cache
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make cache-monitor # Monitor cache performance
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# Docker Operations
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make docker-build # Rebuild containers
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make docker-restart # Restart services
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```
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---
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**Last Updated**: June 2025
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**Status**: ✅ Production Ready
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