.env.example

# Application Configuration
APP_NAME=iris-classifier
APP_VERSION=2.0.0
ENVIRONMENT=production

# API Configuration
API_HOST=0.0.0.0
API_PORT=8000
API_WORKERS=4
API_RELOAD=false

# Logging Configuration
LOG_LEVEL=INFO
LOG_FILE=logs/iris-classifier.log
LOG_MAX_BYTES=10485760
LOG_BACKUP_COUNT=5

# Model Configuration
DEFAULT_MODEL=random_forest
MODEL_CACHE_SIZE=5
MODEL_PATH=models/

# Security (Generate secure keys for production)
SECRET_KEY=your-secret-key-here-change-in-production
API_KEY_ENABLED=false
API_KEY=your-api-key-here

# Rate Limiting
RATE_LIMIT_ENABLED=true
RATE_LIMIT_CALLS=100
RATE_LIMIT_PERIOD=60

# CORS
CORS_ORIGINS=["http://localhost:3000", "http://localhost:8000"]
CORS_ALLOW_CREDENTIALS=true

# Monitoring
PROMETHEUS_ENABLED=true
METRICS_PORT=9090

# Database (optional - for logging predictions)
DATABASE_URL=sqlite:///./iris_predictions.db
DB_ENABLED=false

# Caching
CACHE_ENABLED=true
CACHE_TTL=3600
CACHE_TYPE=memory

# Feature Flags
BATCH_PREDICTION_ENABLED=true
MAX_BATCH_SIZE=1000
MODEL_EXPLAINABILITY_ENABLED=false