cursed.hs

{-# LANGUAGE DataKinds #-}
{-# LANGUAGE GADTs #-}
{-# LANGUAGE KindSignatures #-}
{-# LANGUAGE RankNTypes #-}
{-# LANGUAGE TypeFamilies #-}
{-# LANGUAGE QuantifiedConstraints #-}
{-# LANGUAGE LinearTypes #-}
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE StandaloneDeriving #-}
{-# LANGUAGE MultiParamTypeClasses #-}
{-# LANGUAGE FlexibleContexts #-}
{-# LANGUAGE UndecidableInstances #-}

module PrintManager 
  ( module PrintManager
  ) where

import Control.Concurrent.STM
import Control.Distributed.Process
import Control.Distributed.Process.Node
import Control.Distributed.Process.Consensus.Raft
import Control.Monad.Reader
import Control.Monad.State
import Control.Monad.Except
import Data.Aeson (FromJSON, ToJSON)
import qualified Data.Aeson as Aeson
import Data.UUID
import Data.Vector.Unboxed as VU
import Database.EventStore
import Network.GRPC.HighLevel.Generated
import qualified Database.Redis as Redis
import qualified Network.NATS.Client as NATS
import System.Metrics.Prometheus
import Pipes
import qualified Pipes.Prelude as P
import Control.Verified.Consensus
import Control.Verified.StateMachine
import ML.Reinforcement.DDPG
import ML.Optimization.Bayesian
import Analytics.Streaming.Flink
import Analytics.TimeSeries.Prometheus
import qualified Database.Elasticsearch.Simple as ES
import qualified System.Metrics as EKG
import qualified System.Metrics.Distribution as Distribution
import qualified Kubernetes.Client as K8s
import qualified Network.HTTP.Client as HTTP

-- Core Types and Interfaces --

-- Verified type wrapper
data Verified a where
  Verified :: Proved (Invariant a) => a -> Verified a

-- Type-level state machine
data QueueState 
  = Starting
  | Running NodeRole
  | Stopping
  | Failed FailureReason

-- Node roles
data NodeRole = Leader | Follower | Candidate

-- CQRS Command types
data Command
  = SubmitJob JobSpec
  | CancelJob JobId
  | UpdateJobPriority JobId Priority
  | ScaleWorkers Int
  | DrainNode NodeId
  | PromoteFollower NodeId
  | UpdateConfig ConfigUpdate

-- Event types
data Event
  = JobSubmitted JobId JobSpec
  | JobStarted JobId WorkerId
  | JobCompleted JobId Result
  | JobFailed JobId FailureReason
  | WorkerAdded WorkerId
  | WorkerRemoved WorkerId
  | ConfigChanged ConfigUpdate
  | LeaderElected NodeId
  | MembershipChanged [NodeId]

-- Job types
data Job = Job
  { jobId :: JobId
  , spec :: JobSpec
  , state :: JobState
  , assignedWorker :: Maybe WorkerId
  , retryCount :: Int
  , priority :: Priority
  , dependencies :: Set JobId
  , resourceRequirements :: Resources
  , deadlines :: JobDeadlines
  , progress :: JobProgress
  }

-- Worker types
data Worker = Worker
  { workerId :: WorkerId
  , capabilities :: Set Capability
  , status :: WorkerStatus
  , metrics :: WorkerMetrics
  , currentLoad :: Load
  , assignedJobs :: Set JobId
  }

-- Resource management
data Resources = Resources
  { cpuMillis :: Int
  , memoryMB :: Int
  , diskMB :: Int
  , networkMBps :: Int
  }

-- ML Components --

-- Resource optimizer
data ResourceOptimizer = ResourceOptimizer
  { model :: DDPGModel ResourceState ResourceAction
  , optimizer :: BayesianOptimizer
  , rewardFunction :: ResourceState -> ResourceAction -> Double
  , stateTransition :: ResourceState -> ResourceAction -> ResourceState
  }

-- Analytics engine
data AnalyticsEngine = AnalyticsEngine
  { streamProcessor :: FlinkJobGraph
  , timeSeriesDB :: PrometheusClient
  , analyticsPipelines :: Map PipelineId Pipeline
  , alertRules :: Set AlertRule
  , anomalyDetectors :: Map MetricId AnomalyDetector
  }

-- Self-healing manager
data SelfHealingManager = SelfHealingManager
  { healthChecks :: Set HealthCheck
  , repairStrategies :: Map FailureMode RepairStrategy
  , adaptationRules :: Set AdaptationRule
  , learningModel :: ReinforcementLearningModel
  }

-- Upgrade manager
data UpgradeManager = UpgradeManager
  { versionManager :: VersionManager
  , migrationEngine :: SchemaMigrationEngine
  , loadBalancer :: LoadBalancer
  , canaryDeployer :: CanaryDeployer
  , rollbackManager :: RollbackManager
  }

-- Main queue manager
data QueueManager = QueueManager
  { -- Verified core components
    verifiedEventStore :: Verified EventStore
  , verifiedCommandBus :: Verified CommandBus
  , verifiedConsensus :: Verified RaftConsensus
  , verifiedStateMachine :: Verified StateMachine
    
    -- ML-powered components
  , resourceOptimizer :: ResourceOptimizer
  , schedulingOptimizer :: SchedulingOptimizer
  , loadPredictor :: LoadPredictor
  , anomalyDetector :: AnomalyDetector
    
    -- Real-time analytics
  , analyticsEngine :: AnalyticsEngine
  , metricsCollector :: MetricsCollector
  , eventAnalyzer :: EventAnalyzer
  , performanceAnalyzer :: PerformanceAnalyzer
    
    -- Self-healing components
  , selfHealing :: SelfHealingManager
  , faultDetector :: FaultDetector
  , repairManager :: RepairManager
  , adaptationManager :: AdaptationManager
    
    -- Zero-downtime components
  , upgradeManager :: UpgradeManager
  , migrationManager :: MigrationManager
  , versionController :: VersionController
  }

-- Core Implementation --

-- Initialize verified components
initVerifiedComponents :: Config -> Proof Correctness -> IO (Either InitError VerifiedComponents)
initVerifiedComponents config proof = runExceptT $ do
  -- Initialize with formal verification
  eventStore <- verifyComponent initEventStore eventStoreProof
  commandBus <- verifyComponent initCommandBus commandBusProof
  consensus <- verifyComponent initConsensus consensusProof
  stateMachine <- verifyComponent initStateMachine stateMachineProof
  
  return VerifiedComponents {..}

-- Initialize ML components
initMLComponents :: Config -> IO (Either InitError MLComponents)
initMLComponents config = runExceptT $ do
  -- Initialize reinforcement learning models
  resourceModel <- initDDPGModel resourceModelConfig
  schedulingModel <- initDDPGModel schedulingModelConfig
  
  -- Initialize optimization
  optimizer <- initBayesianOptimizer optimizerConfig
  
  -- Initialize predictors
  loadPredictor <- initLoadPredictor predictorConfig
  anomalyDetector <- initAnomalyDetector detectorConfig
  
  return MLComponents {..}

-- Initialize analytics engine
initAnalyticsEngine :: Config -> IO (Either InitError AnalyticsEngine)
initAnalyticsEngine config = runExceptT $ do
  -- Initialize stream processing
  streamProcessor <- initFlinkJob flinkConfig
  
  -- Initialize time series storage
  timeSeriesDB <- initPrometheusClient prometheusConfig
  
  -- Initialize analytics pipelines
  pipelines <- initAnalyticsPipelines pipelineConfigs
  
  -- Initialize anomaly detection
  detectors <- initAnomalyDetectors detectorConfigs
  
  return AnalyticsEngine {..}

-- Job Scheduling --

-- ML-optimized job scheduling
scheduleJobsOptimized :: QueueManager -> [Job] -> Process (Either ScheduleError [Assignment])
scheduleJobsOptimized manager jobs = runExceptT $ do
  -- Get current state
  state <- getCurrentState
  
  -- Predict future load
  futureDemand <- predictLoad manager.loadPredictor
  
  -- Optimize assignments using ML
  let modelInput = buildModelInput state futureDemand jobs
  assignments <- optimizeAssignments manager.schedulingOptimizer modelInput
  
  -- Verify assignments
  verifiedAssignments <- verifyAssignments assignments
  
  -- Update ML models with results
  updateModels manager assignments
  
  return verifiedAssignments

-- Event Processing --

-- Process events with analytics
processEvent :: QueueManager -> Event -> Process (Either ProcessError ())
processEvent manager event = runExceptT $ do
  -- Process in real-time stream
  processInStream manager.analyticsEngine event
  
  -- Store metrics
  storeMetrics manager.metricsCollector event
  
  -- Analyze for anomalies
  anomalies <- detectAnomalies manager.anomalyDetector event
  
  -- Handle any detected anomalies
  forM_ anomalies $ \anomaly -> do
    -- Generate alerts
    alerts <- generateAlerts anomaly
    
    -- Take corrective action
    handleAnomaly manager anomaly
    
    -- Update models
    updateAnomalyModels manager anomaly

-- Fault Handling --

-- Handle failures with self-healing
handleFailure :: QueueManager -> Failure -> Process (Either RepairError ())
handleFailure manager failure = runExceptT $ do
  -- Detect failure mode
  failureMode <- detectFailureMode manager.faultDetector failure
  
  -- Get repair strategy
  strategy <- getRepairStrategy manager.repairManager failureMode
  
  -- Execute repair
  repairResult <- executeRepair strategy
  
  -- Adapt system based on result
  adaptation <- determineAdaptation manager.adaptationManager repairResult
  
  -- Apply adaptation
  applyAdaptation adaptation
  
  -- Update learning models
  updateLearningModels manager failureMode repairResult

-- Upgrades --

-- Perform zero-downtime upgrade
performUpgrade :: QueueManager -> Version -> Process (Either UpgradeError ())
performUpgrade manager newVersion = runExceptT $ do
  -- Prepare upgrade
  migrationPlan <- prepareMigration manager.migrationManager newVersion
  
  -- Start canary deployment
  canary <- startCanary manager.upgradeManager newVersion
  
  -- Monitor canary
  monitorCanaryHealth canary
  
  -- Gradually shift traffic
  shiftTraffic manager.loadBalancer canary
  
  -- Finalize upgrade
  finalizeUpgrade manager.versionController newVersion
  
  -- Verify upgrade
  verifyUpgrade newVersion

-- Verification --

-- System proofs
type SystemProof = Proof SystemCorrectness

-- Prove system correctness
proveSystem :: QueueManager -> Proof SystemCorrectness
proveSystem manager = do
  -- Prove core components
  eventStoreProof <- proveEventStore manager.verifiedEventStore
  consensusProof <- proveConsensus manager.verifiedConsensus
  
  -- Prove consistency
  consistencyProof <- proveConsistency manager
  
  -- Prove liveness
  livenessProof <- proveLiveness manager
  
  -- Prove fault tolerance
  faultToleranceProof <- proveFaultTolerance manager
  
  -- Combine proofs
  combineProofs 
    [ eventStoreProof
    , consensusProof
    , consistencyProof
    , livenessProof
    , faultToleranceProof
    ]

-- Main entry point
main :: IO ()
main = do
  -- Load configuration
  config <- loadConfig
  
  -- Initialize components
  componentsResult <- runExceptT $ do
    -- Initialize verified components
    verified <- ExceptT $ initVerifiedComponents config systemProofs
    
    -- Initialize ML components
    ml <- ExceptT $ initMLComponents config
    
    -- Initialize analytics
    analytics <- ExceptT $ initAnalyticsEngine config
    
    -- Initialize self-healing
    selfHealing <- ExceptT $ initSelfHealing config
    
    -- Initialize upgrade manager
    upgradeManager <- ExceptT $ initUpgradeManager config
    
    return Components {..}
    
  case componentsResult of
    Left err -> handleInitializationError err
    Right components -> do
      -- Start manager
      runProcess node $ do
        -- Start core processes
        startVerifiedComponents components.verified
        startMLComponents components.ml
        startAnalytics components.analytics
        startSelfHealing components.selfHealing
        
        -- Enter main loop
        forever $ do
          -- Process events
          events <- receiveEvents
          processEvents components events
          
          -- Schedule jobs
          jobs <- getJobs
          scheduleJobs components jobs
          
          -- Monitor health
          health <- checkHealth components
          handleHealth components health
          
          -- Handle upgrades
          upgrades <- checkUpgrades
          handleUpgrades components upgrades