# Dragonfly Cache Configuration for DTO Status
# Live status cache for Data Transfer Operations

# Cluster Configuration
cluster:
  enabled: true
  nodes:
    - "localhost:18000"
    - "localhost:18001"
    - "localhost:18002"
  replication_factor: 2
  
# DTO-specific key patterns and TTLs
key_patterns:
  # Run status and progress
  run_status: "dto:run:{run_id}:status"
  run_progress: "dto:run:{run_id}:progress"
  run_artifacts: "dto:run:{run_id}:artifacts"
  
  # Job queue and scheduling
  job_queue: "dto:jobs:pending"
  job_in_progress: "dto:jobs:in_progress"
  job_completed: "dto:jobs:completed"
  
  # Alerting and notifications
  alerts: "dto:alerts:{job_id}"
  notifications: "dto:notifications:{user_id}"
  
  # Performance metrics cache
  metrics_throughput: "dto:metrics:throughput:{run_id}"
  metrics_checksum_time: "dto:metrics:checksum_time:{run_id}"
  metrics_validation_rate: "dto:metrics:validation_rate:{run_id}"

# Time-to-Live configurations
ttl_config:
  # Short-lived: status and progress (1 hour)
  run_status_ttl: 3600
  run_progress_ttl: 3600
  
  # Medium-lived: job queues (24 hours)
  job_queue_ttl: 86400
  job_in_progress_ttl: 86400
  
  # Long-lived: completed jobs (7 days)
  job_completed_ttl: 604800
  
  # Alert retention (48 hours)
  alerts_ttl: 172800
  
  # Metrics cache (1 hour)
  metrics_ttl: 3600

# Memory and performance settings
performance:
  max_memory_per_node: "50GB"
  max_client_connections: 10000
  pipeline_size: 100
  
  # DTO-specific optimizations
  hash_max_ziplist_entries: 512
  hash_max_ziplist_value: 64
  set_max_intset_entries: 512
  
# Persistence settings
persistence:
  enabled: true
  dir: "/data/adaptai/platform/dataops/dto/cache/dragonfly_data"
  snapshot_interval: 300  # 5 minutes
  snapshot_threshold: 1000

# Monitoring and observability
monitoring:
  prometheus_enabled: true
  prometheus_port: 18080
  stats_interval: 60
  
  # DTO-specific metrics
  track_hit_rate: true
  track_memory_usage: true
  track_command_stats: true

# Security and authentication
security:
  requirepass: "${DRAGONFLY_PASSWORD}"
  # DTO-specific ACLs
  acl_rules:
    - user: "dto-producer"
      passwords: ["${DRAGONFLY_PRODUCER_PASSWORD}"]
      commands: ["SET", "HSET", "EXPIRE", "PUBLISH"]
      keys: ["dto:run:*", "dto:jobs:*", "dto:metrics:*"]
    
    - user: "dto-consumer"
      passwords: ["${DRAGONFLY_CONSUMER_PASSWORD}"]
      commands: ["GET", "HGETALL", "LRANGE", "SUBSCRIBE"]
      keys: ["dto:run:*", "dto:jobs:*", "dto:metrics:*", "dto:alerts:*"]
    
    - user: "dto-admin"
      passwords: ["${DRAGONFLY_ADMIN_PASSWORD}"]
      commands: ["*"]]

# Backup and disaster recovery
backup:
  enabled: true
  dir: "/data/adaptai/platform/dataops/dto/cache/backups"
  interval: 3600  # 1 hour
  retain_count: 24

# DTO-specific Lua scripts
lua_scripts:
  update_run_status: |
    local run_id = ARGV[1]
    local status = ARGV[2]
    local timestamp = ARGV[3]
    
    redis.call('HSET', 'dto:run:' .. run_id .. ':status', 
               'status', status, 
               'updated_at', timestamp)
    redis.call('EXPIRE', 'dto:run:' .. run_id .. ':status', 3600)
    
    return redis.status_reply('OK')
  
  add_artifact: |
    local run_id = ARGV[1]
    local artifact_type = ARGV[2]
    local artifact_path = ARGV[3]
    
    redis.call('SADD', 'dto:run:' .. run_id .. ':artifacts:' .. artifact_type, artifact_path)
    redis.call('EXPIRE', 'dto:run:' .. run_id .. ':artifacts:' .. artifact_type, 86400)
    
    return redis.status_reply('OK')