sklears_utils/distributed_computing/
types.rs

1//! Auto-generated module
2//!
3//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)
4
5use std::collections::{HashMap, HashSet};
6use std::hash::Hash;
7use std::net::SocketAddr;
8use std::sync::{Arc, Mutex, RwLock};
9use std::thread;
10use std::time::{Duration, Instant};
11
12/// Type alias for message handler function
13pub type MessageHandlerFn =
14    Box<dyn Fn(&DistributedMessage) -> Result<MessageResponse, DistributedError> + Send + Sync>;
15
16#[derive(Debug, Clone)]
17pub struct ResourceReservation {
18    pub id: String,
19    pub node_id: String,
20    pub start_time: Instant,
21    pub duration: Duration,
22    pub resources: ResourceAllocation,
23}
24#[derive(Debug, Clone, PartialEq)]
25pub enum ConsensusState {
26    Follower,
27    Candidate,
28    Leader,
29}
30/// Cluster configuration
31#[derive(Debug, Clone)]
32pub struct ClusterConfig {
33    pub heartbeat_interval: Duration,
34    pub node_timeout: Duration,
35    pub job_timeout: Duration,
36    pub max_retries: u32,
37    pub load_threshold: f64,
38    pub replication_factor: u32,
39}
40#[derive(Debug, Clone)]
41pub enum MessagePriority {
42    Low,
43    Normal,
44    High,
45    Critical,
46}
47#[derive(Debug, Clone)]
48pub struct MessageResponse {
49    pub message_id: String,
50    pub success: bool,
51    pub data: Vec<u8>,
52    pub error: Option<String>,
53}
54/// Job priority
55#[derive(Debug, Clone, PartialEq, Eq, PartialOrd, Ord)]
56pub enum JobPriority {
57    Low,
58    Normal,
59    High,
60    Critical,
61}
62/// Job status
63#[derive(Debug, Clone, PartialEq)]
64pub enum JobStatus {
65    Pending,
66    Running,
67    Completed,
68    Failed,
69    Cancelled,
70    Timeout,
71}
72#[derive(Debug, Clone)]
73pub struct SchedulingDecision {
74    pub job_id: String,
75    pub node_id: String,
76    pub estimated_start_time: Instant,
77    pub resource_allocation: ResourceAllocation,
78}
79/// Distributed computing errors
80#[derive(Debug, thiserror::Error)]
81pub enum DistributedError {
82    #[error("Node not found")]
83    NodeNotFound,
84    #[error("Job not found")]
85    JobNotFound,
86    #[error("Insufficient resources")]
87    InsufficientResources,
88    #[error("Node unreachable")]
89    NodeUnreachable,
90    #[error("Job timeout")]
91    JobTimeout,
92    #[error("Scheduling error: {0}")]
93    SchedulingError(String),
94    #[error("Communication error: {0}")]
95    CommunicationError(String),
96}
97#[derive(Debug, Clone)]
98pub struct VoteRequest {
99    pub term: u64,
100    pub candidate_id: String,
101    pub last_log_index: usize,
102    pub last_log_term: u64,
103}
104#[derive(Debug, Clone)]
105pub struct VoteResponse {
106    pub term: u64,
107    pub vote_granted: bool,
108}
109/// Advanced distributed computing features
110/// Message passing system for inter-node communication
111#[allow(dead_code)]
112pub struct MessagePassingSystem {
113    node_id: String,
114    message_handlers: HashMap<String, MessageHandler>,
115    pending_messages: Arc<Mutex<Vec<DistributedMessage>>>,
116    pub(crate) message_queue: Arc<Mutex<Vec<DistributedMessage>>>,
117    pub(crate) routing_table: Arc<RwLock<HashMap<String, SocketAddr>>>,
118}
119impl MessagePassingSystem {
120    /// Create new message passing system
121    pub fn new(node_id: String) -> Self {
122        Self {
123            node_id,
124            message_handlers: HashMap::new(),
125            pending_messages: Arc::new(Mutex::new(Vec::new())),
126            message_queue: Arc::new(Mutex::new(Vec::new())),
127            routing_table: Arc::new(RwLock::new(HashMap::new())),
128        }
129    }
130    /// Send message to another node
131    pub fn send_message(&self, message: DistributedMessage) -> Result<(), DistributedError> {
132        let routing_table = self.routing_table.read().unwrap();
133        if let Some(_address) = routing_table.get(&message.destination) {
134            self.message_queue.lock().unwrap().push(message);
135            Ok(())
136        } else {
137            Err(DistributedError::NodeUnreachable)
138        }
139    }
140    /// Broadcast message to all nodes
141    pub fn broadcast_message(
142        &self,
143        message_type: MessageType,
144        data: Vec<u8>,
145    ) -> Result<(), DistributedError> {
146        let routing_table = self.routing_table.read().unwrap();
147        for (node_id, _address) in routing_table.iter() {
148            if node_id != &self.node_id {
149                let message = DistributedMessage {
150                    id: format!("{}_{}", self.node_id, Instant::now().elapsed().as_millis()),
151                    source: self.node_id.clone(),
152                    destination: node_id.clone(),
153                    message_type: message_type.clone(),
154                    data: data.clone(),
155                    timestamp: Instant::now(),
156                    priority: MessagePriority::Normal,
157                };
158                self.send_message(message)?;
159            }
160        }
161        Ok(())
162    }
163    /// Register message handler
164    pub fn register_handler(&mut self, message_type: String, handler: MessageHandler) {
165        self.message_handlers.insert(message_type, handler);
166    }
167    /// Process incoming messages
168    pub fn process_messages(&self) -> Result<Vec<MessageResponse>, DistributedError> {
169        let mut responses = Vec::new();
170        let mut queue = self.message_queue.lock().unwrap();
171        for message in queue.drain(..) {
172            if let Some(handler) = self
173                .message_handlers
174                .get(&format!("{}", message.message_type))
175            {
176                let response = handler.handle(&message)?;
177                responses.push(response);
178            }
179        }
180        Ok(responses)
181    }
182}
183#[derive(Debug, Clone)]
184pub struct PeerInfo {
185    pub id: String,
186    pub next_index: usize,
187    pub match_index: usize,
188    pub last_response: Instant,
189}
190/// Advanced job scheduler with gang scheduling
191#[allow(dead_code)]
192pub struct AdvancedJobScheduler {
193    scheduling_policies: Vec<SchedulingPolicy>,
194    pub(crate) resource_reservations: HashMap<String, ResourceReservation>,
195    job_dependencies: HashMap<String, Vec<String>>,
196    priority_queues: HashMap<JobPriority, Vec<DistributedJob>>,
197    backfill_enabled: bool,
198}
199impl AdvancedJobScheduler {
200    /// Create new advanced scheduler
201    pub fn new() -> Self {
202        Self {
203            scheduling_policies: vec![
204                SchedulingPolicy::FIFO,
205                SchedulingPolicy::ShortestJobFirst,
206                SchedulingPolicy::GangScheduling,
207            ],
208            resource_reservations: HashMap::new(),
209            job_dependencies: HashMap::new(),
210            priority_queues: HashMap::new(),
211            backfill_enabled: true,
212        }
213    }
214    /// Schedule jobs with gang scheduling
215    pub fn gang_schedule(
216        &mut self,
217        jobs: &[DistributedJob],
218        nodes: &HashMap<String, ClusterNode>,
219    ) -> Result<Vec<SchedulingDecision>, DistributedError> {
220        let mut decisions = Vec::new();
221        let job_groups = self.group_related_jobs(jobs);
222        for group in job_groups {
223            if let Some(node_assignment) = self.find_gang_assignment(&group, nodes) {
224                for (job, node_id) in group.iter().zip(node_assignment.iter()) {
225                    decisions.push(SchedulingDecision {
226                        job_id: job.id.clone(),
227                        node_id: node_id.clone(),
228                        estimated_start_time: Instant::now(),
229                        resource_allocation: self
230                            .calculate_resource_allocation(job, node_id, nodes),
231                    });
232                }
233            }
234        }
235        Ok(decisions)
236    }
237    /// Implement backfill scheduling
238    pub fn backfill_schedule(
239        &mut self,
240        waiting_jobs: &[DistributedJob],
241        nodes: &HashMap<String, ClusterNode>,
242    ) -> Result<Vec<SchedulingDecision>, DistributedError> {
243        let mut decisions = Vec::new();
244        if !self.backfill_enabled {
245            return Ok(decisions);
246        }
247        for job in waiting_jobs {
248            for (node_id, node) in nodes {
249                if self.can_backfill_job(job, node) {
250                    decisions.push(SchedulingDecision {
251                        job_id: job.id.clone(),
252                        node_id: node_id.clone(),
253                        estimated_start_time: Instant::now(),
254                        resource_allocation: self
255                            .calculate_resource_allocation(job, node_id, nodes),
256                    });
257                    break;
258                }
259            }
260        }
261        Ok(decisions)
262    }
263    /// Reserve resources for future jobs
264    pub fn reserve_resources(
265        &mut self,
266        reservation: ResourceReservation,
267    ) -> Result<(), DistributedError> {
268        self.resource_reservations
269            .insert(reservation.id.clone(), reservation);
270        Ok(())
271    }
272    fn group_related_jobs(&self, jobs: &[DistributedJob]) -> Vec<Vec<DistributedJob>> {
273        vec![jobs.to_vec()]
274    }
275    fn find_gang_assignment(
276        &self,
277        job_group: &[DistributedJob],
278        nodes: &HashMap<String, ClusterNode>,
279    ) -> Option<Vec<String>> {
280        if job_group.len() <= nodes.len() {
281            Some(nodes.keys().take(job_group.len()).cloned().collect())
282        } else {
283            None
284        }
285    }
286    fn can_backfill_job(&self, _job: &DistributedJob, _node: &ClusterNode) -> bool {
287        true
288    }
289    fn calculate_resource_allocation(
290        &self,
291        job: &DistributedJob,
292        _node_id: &str,
293        _nodes: &HashMap<String, ClusterNode>,
294    ) -> ResourceAllocation {
295        ResourceAllocation {
296            cpu_cores: job.requirements.min_cpu_cores,
297            memory_gb: job.requirements.min_memory_gb,
298            gpu_count: job.requirements.min_gpu_count,
299            storage_gb: job.requirements.min_storage_gb,
300            network_bandwidth: 100,
301        }
302    }
303}
304#[derive(Debug, Clone)]
305pub struct PartitionMove {
306    pub partition: usize,
307    pub from_node: String,
308    pub to_node: String,
309}
310#[derive(Debug, Clone)]
311pub struct CheckpointStats {
312    pub total_checkpoints: usize,
313    pub total_size_bytes: u64,
314    pub compressed_checkpoints: usize,
315    pub compression_ratio: f64,
316}
317/// Job scheduler
318pub struct JobScheduler {
319    scheduling_strategy: SchedulingStrategy,
320}
321impl JobScheduler {
322    /// Create new job scheduler
323    pub fn new() -> Self {
324        Self {
325            scheduling_strategy: SchedulingStrategy::LeastLoaded,
326        }
327    }
328    /// Find suitable node for job
329    pub fn find_suitable_node(
330        &self,
331        job: &DistributedJob,
332        nodes: &HashMap<String, ClusterNode>,
333    ) -> Option<String> {
334        let suitable_nodes: Vec<_> = nodes
335            .values()
336            .filter(|node| self.can_run_job(node, job))
337            .collect();
338        if suitable_nodes.is_empty() {
339            return None;
340        }
341        match self.scheduling_strategy {
342            SchedulingStrategy::LeastLoaded => suitable_nodes
343                .iter()
344                .min_by(|a, b| {
345                    let load_a = a.load_metrics.cpu_usage + a.load_metrics.memory_usage;
346                    let load_b = b.load_metrics.cpu_usage + b.load_metrics.memory_usage;
347                    load_a
348                        .partial_cmp(&load_b)
349                        .unwrap_or(std::cmp::Ordering::Equal)
350                })
351                .map(|node| node.id.clone()),
352            SchedulingStrategy::RoundRobin => suitable_nodes.first().map(|node| node.id.clone()),
353            SchedulingStrategy::HighestCapacity => suitable_nodes
354                .iter()
355                .max_by_key(|node| node.capabilities.cpu_cores * node.capabilities.memory_gb)
356                .map(|node| node.id.clone()),
357        }
358    }
359    /// Check if node can run job
360    fn can_run_job(&self, node: &ClusterNode, job: &DistributedJob) -> bool {
361        node.status == NodeStatus::Available
362            && node.capabilities.cpu_cores >= job.requirements.min_cpu_cores
363            && node.capabilities.memory_gb >= job.requirements.min_memory_gb
364            && node.capabilities.gpu_count >= job.requirements.min_gpu_count
365            && node.capabilities.storage_gb >= job.requirements.min_storage_gb
366    }
367}
368/// Checkpointing and recovery system
369pub struct CheckpointManager {
370    pub(crate) checkpoint_storage: HashMap<String, Checkpoint>,
371    #[allow(dead_code)]
372    checkpoint_interval: Duration,
373    compression_enabled: bool,
374}
375impl CheckpointManager {
376    /// Create new checkpoint manager
377    pub fn new(checkpoint_interval: Duration) -> Self {
378        Self {
379            checkpoint_storage: HashMap::new(),
380            checkpoint_interval,
381            compression_enabled: true,
382        }
383    }
384    /// Create checkpoint for job
385    pub fn create_checkpoint(
386        &mut self,
387        job_id: &str,
388        state: JobState,
389    ) -> Result<String, DistributedError> {
390        let checkpoint_id = format!("{job_id}_{}", Instant::now().elapsed().as_millis());
391        let checkpoint = Checkpoint {
392            id: checkpoint_id.clone(),
393            job_id: job_id.to_string(),
394            state,
395            created_at: Instant::now(),
396            size_bytes: 1024,
397            compressed: self.compression_enabled,
398        };
399        self.checkpoint_storage
400            .insert(checkpoint_id.clone(), checkpoint);
401        Ok(checkpoint_id)
402    }
403    /// Restore job from checkpoint
404    pub fn restore_checkpoint(&self, checkpoint_id: &str) -> Result<JobState, DistributedError> {
405        self.checkpoint_storage
406            .get(checkpoint_id)
407            .map(|checkpoint| checkpoint.state.clone())
408            .ok_or(DistributedError::JobNotFound)
409    }
410    /// Clean up old checkpoints
411    pub fn cleanup_old_checkpoints(&mut self, retention_period: Duration) {
412        let cutoff = Instant::now() - retention_period;
413        self.checkpoint_storage
414            .retain(|_, checkpoint| checkpoint.created_at > cutoff);
415    }
416    /// Get checkpoint statistics
417    pub fn get_checkpoint_stats(&self) -> CheckpointStats {
418        let total_checkpoints = self.checkpoint_storage.len();
419        let total_size: u64 = self.checkpoint_storage.values().map(|c| c.size_bytes).sum();
420        let compressed_checkpoints = self
421            .checkpoint_storage
422            .values()
423            .filter(|c| c.compressed)
424            .count();
425        CheckpointStats {
426            total_checkpoints,
427            total_size_bytes: total_size,
428            compressed_checkpoints,
429            compression_ratio: if total_checkpoints > 0 {
430                compressed_checkpoints as f64 / total_checkpoints as f64
431            } else {
432                0.0
433            },
434        }
435    }
436}
437/// Node information in distributed cluster
438#[derive(Debug, Clone)]
439pub struct ClusterNode {
440    pub id: String,
441    pub address: SocketAddr,
442    pub capabilities: NodeCapabilities,
443    pub status: NodeStatus,
444    pub last_heartbeat: Instant,
445    pub load_metrics: LoadMetrics,
446    pub job_history: Vec<JobExecution>,
447}
448#[derive(Debug, Clone)]
449pub struct LogEntry {
450    pub term: u64,
451    pub index: usize,
452    pub command: String,
453    pub data: Vec<u8>,
454}
455#[derive(Debug, Clone)]
456pub struct DistributedMessage {
457    pub id: String,
458    pub source: String,
459    pub destination: String,
460    pub message_type: MessageType,
461    pub data: Vec<u8>,
462    pub timestamp: Instant,
463    pub priority: MessagePriority,
464}
465#[derive(Debug, Clone)]
466pub struct JobState {
467    pub progress: f64,
468    pub intermediate_results: HashMap<String, Vec<u8>>,
469    pub runtime_state: Vec<u8>,
470}
471/// Data partitioning and sharding system
472pub struct DataPartitioner {
473    partitioning_strategy: PartitioningStrategy,
474    partition_count: usize,
475    node_assignments: HashMap<usize, String>,
476    replication_factor: usize,
477}
478impl DataPartitioner {
479    /// Create new data partitioner
480    pub fn new(
481        strategy: PartitioningStrategy,
482        partition_count: usize,
483        replication_factor: usize,
484    ) -> Self {
485        Self {
486            partitioning_strategy: strategy,
487            partition_count,
488            node_assignments: HashMap::new(),
489            replication_factor,
490        }
491    }
492    /// Determine partition for data key
493    pub fn get_partition(&self, key: &str) -> usize {
494        match self.partitioning_strategy {
495            PartitioningStrategy::Hash => {
496                use std::collections::hash_map::DefaultHasher;
497                use std::hash::Hasher;
498                let mut hasher = DefaultHasher::new();
499                key.hash(&mut hasher);
500                (hasher.finish() as usize) % self.partition_count
501            }
502            PartitioningStrategy::Range => key.len() % self.partition_count,
503            PartitioningStrategy::Random => key.len() % self.partition_count,
504        }
505    }
506    /// Get nodes responsible for partition
507    pub fn get_partition_nodes(&self, partition: usize) -> Vec<String> {
508        let mut nodes = Vec::new();
509        if let Some(primary_node) = self.node_assignments.get(&partition) {
510            nodes.push(primary_node.clone());
511            for i in 1..self.replication_factor {
512                let replica_partition = (partition + i) % self.partition_count;
513                if let Some(replica_node) = self.node_assignments.get(&replica_partition) {
514                    if !nodes.contains(replica_node) {
515                        nodes.push(replica_node.clone());
516                    }
517                }
518            }
519        }
520        nodes
521    }
522    /// Assign partition to node
523    pub fn assign_partition(&mut self, partition: usize, node_id: String) {
524        self.node_assignments.insert(partition, node_id);
525    }
526    /// Rebalance partitions across nodes
527    pub fn rebalance_partitions(&mut self, available_nodes: &[String]) -> PartitioningResult {
528        let mut assignments_changed = 0;
529        let mut partitions_moved = Vec::new();
530        for partition in 0..self.partition_count {
531            let optimal_node = &available_nodes[partition % available_nodes.len()];
532            if let Some(current_node) = self.node_assignments.get(&partition) {
533                if current_node != optimal_node {
534                    partitions_moved.push(PartitionMove {
535                        partition,
536                        from_node: current_node.clone(),
537                        to_node: optimal_node.clone(),
538                    });
539                    self.node_assignments
540                        .insert(partition, optimal_node.clone());
541                    assignments_changed += 1;
542                }
543            } else {
544                self.node_assignments
545                    .insert(partition, optimal_node.clone());
546                assignments_changed += 1;
547            }
548        }
549        PartitioningResult {
550            assignments_changed,
551            partitions_moved,
552            rebalance_time: Instant::now(),
553        }
554    }
555}
556/// Cluster statistics
557#[derive(Debug, Clone)]
558pub struct ClusterStats {
559    pub total_nodes: usize,
560    pub available_nodes: usize,
561    pub busy_nodes: usize,
562    pub overloaded_nodes: usize,
563    pub unreachable_nodes: usize,
564    pub total_jobs: usize,
565    pub running_jobs: usize,
566    pub completed_jobs: usize,
567    pub failed_jobs: usize,
568    pub queued_jobs: usize,
569    pub total_cpu_cores: u32,
570    pub total_memory_gb: u32,
571    pub total_gpu_count: u32,
572    pub avg_cpu_usage: f64,
573    pub avg_memory_usage: f64,
574}
575pub struct MessageHandler {
576    pub handler_fn: MessageHandlerFn,
577}
578impl MessageHandler {
579    pub fn new<F>(f: F) -> Self
580    where
581        F: Fn(&DistributedMessage) -> Result<MessageResponse, DistributedError>
582            + Send
583            + Sync
584            + 'static,
585    {
586        Self {
587            handler_fn: Box::new(f),
588        }
589    }
590    pub fn handle(
591        &self,
592        message: &DistributedMessage,
593    ) -> Result<MessageResponse, DistributedError> {
594        (self.handler_fn)(message)
595    }
596}
597/// Fault detector
598pub struct FaultDetector {
599    failure_history: HashMap<String, Vec<Instant>>,
600}
601impl FaultDetector {
602    /// Create new fault detector
603    pub fn new() -> Self {
604        Self {
605            failure_history: HashMap::new(),
606        }
607    }
608    /// Handle node failure
609    pub fn handle_failure(&mut self, node_id: &str) -> Result<(), DistributedError> {
610        let failures = self.failure_history.entry(node_id.to_string()).or_default();
611        failures.push(Instant::now());
612        let cutoff = Instant::now() - Duration::from_secs(3600);
613        failures.retain(|&failure_time| failure_time > cutoff);
614        if failures.len() > 3 {
615            println!("Node {node_id} has too many failures, marking as problematic");
616        }
617        Ok(())
618    }
619    /// Check if node is problematic
620    pub fn is_problematic(&self, node_id: &str) -> bool {
621        self.failure_history
622            .get(node_id)
623            .map(|failures| failures.len() > 3)
624            .unwrap_or(false)
625    }
626}
627#[derive(Debug, Clone)]
628pub enum MessageType {
629    JobSubmission,
630    JobResult,
631    Heartbeat,
632    ResourceUpdate,
633    ConsensusRequest,
634    DataPartition,
635    Custom(String),
636}
637/// Load balancer
638pub struct LoadBalancer {
639    rebalance_threshold: f64,
640}
641impl LoadBalancer {
642    /// Create new load balancer
643    pub fn new() -> Self {
644        Self {
645            rebalance_threshold: 0.8,
646        }
647    }
648    /// Rebalance workload across nodes
649    pub fn rebalance(&self, nodes: &HashMap<String, ClusterNode>) -> Result<(), DistributedError> {
650        let overloaded_nodes: Vec<_> = nodes
651            .values()
652            .filter(|node| {
653                let total_load = node.load_metrics.cpu_usage + node.load_metrics.memory_usage;
654                total_load > self.rebalance_threshold * 2.0
655            })
656            .collect();
657        let underloaded_nodes: Vec<_> = nodes
658            .values()
659            .filter(|node| {
660                let total_load = node.load_metrics.cpu_usage + node.load_metrics.memory_usage;
661                total_load < self.rebalance_threshold
662            })
663            .collect();
664        println!(
665            "Rebalancing: {} overloaded nodes, {} underloaded nodes",
666            overloaded_nodes.len(),
667            underloaded_nodes.len()
668        );
669        Ok(())
670    }
671}
672/// Node status
673#[derive(Debug, Clone, PartialEq)]
674pub enum NodeStatus {
675    Available,
676    Busy,
677    Overloaded,
678    Unreachable,
679    Maintenance,
680}
681/// Job type
682#[derive(Debug, Clone, PartialEq)]
683pub enum JobType {
684    Training,
685    Inference,
686    DataProcessing,
687    ModelEvaluation,
688    Hyperparameter,
689    Custom(String),
690}
691#[derive(Debug, Clone)]
692pub struct Checkpoint {
693    pub id: String,
694    pub job_id: String,
695    pub state: JobState,
696    pub created_at: Instant,
697    pub size_bytes: u64,
698    pub compressed: bool,
699}
700/// Node load metrics
701#[derive(Debug, Clone)]
702pub struct LoadMetrics {
703    pub cpu_usage: f64,
704    pub memory_usage: f64,
705    pub gpu_usage: f64,
706    pub network_io: f64,
707    pub disk_io: f64,
708    pub active_jobs: u32,
709    pub queue_size: u32,
710}
711/// Distributed job information
712#[derive(Debug, Clone)]
713pub struct DistributedJob {
714    pub id: String,
715    pub name: String,
716    pub job_type: JobType,
717    pub priority: JobPriority,
718    pub requirements: ResourceRequirements,
719    pub created_at: Instant,
720    pub timeout: Duration,
721    pub retry_count: u32,
722    pub dependencies: Vec<String>,
723    pub metadata: HashMap<String, String>,
724}
725/// Scheduling strategy
726#[derive(Debug, Clone)]
727pub enum SchedulingStrategy {
728    LeastLoaded,
729    RoundRobin,
730    HighestCapacity,
731}
732/// Resource usage during job execution
733#[derive(Debug, Clone)]
734pub struct ResourceUsage {
735    pub cpu_time: Duration,
736    pub memory_peak: u64,
737    pub gpu_time: Duration,
738    pub network_bytes: u64,
739    pub disk_bytes: u64,
740}
741/// Node capabilities
742#[derive(Debug, Clone)]
743pub struct NodeCapabilities {
744    pub cpu_cores: u32,
745    pub memory_gb: u32,
746    pub gpu_count: u32,
747    pub storage_gb: u32,
748    pub network_bandwidth_mbps: u32,
749    pub supported_tasks: HashSet<String>,
750}
751/// Consensus algorithm implementation (simplified Raft)
752#[allow(dead_code)]
753pub struct ConsensusManager {
754    node_id: String,
755    pub(crate) state: ConsensusState,
756    term: u64,
757    voted_for: Option<String>,
758    pub(crate) log: Vec<LogEntry>,
759    commit_index: usize,
760    last_applied: usize,
761    peers: HashMap<String, PeerInfo>,
762}
763impl ConsensusManager {
764    /// Create new consensus manager
765    pub fn new(node_id: String, peers: Vec<String>) -> Self {
766        let mut peer_map = HashMap::new();
767        for peer in peers {
768            peer_map.insert(
769                peer.clone(),
770                PeerInfo {
771                    id: peer,
772                    next_index: 0,
773                    match_index: 0,
774                    last_response: Instant::now(),
775                },
776            );
777        }
778        Self {
779            node_id,
780            state: ConsensusState::Follower,
781            term: 0,
782            voted_for: None,
783            log: Vec::new(),
784            commit_index: 0,
785            last_applied: 0,
786            peers: peer_map,
787        }
788    }
789    /// Start leader election
790    pub fn start_election(&mut self) -> Result<(), DistributedError> {
791        self.state = ConsensusState::Candidate;
792        self.term += 1;
793        self.voted_for = Some(self.node_id.clone());
794        println!(
795            "Node {} starting election for term {}",
796            self.node_id, self.term
797        );
798        Ok(())
799    }
800    /// Handle vote request
801    pub fn handle_vote_request(&mut self, request: VoteRequest) -> VoteResponse {
802        let grant_vote = if request.term > self.term {
803            self.term = request.term;
804            self.voted_for = None;
805            self.state = ConsensusState::Follower;
806            true
807        } else if request.term == self.term
808            && (self.voted_for.is_none() || self.voted_for.as_ref() == Some(&request.candidate_id))
809        {
810            self.voted_for = Some(request.candidate_id.clone());
811            true
812        } else {
813            false
814        };
815        VoteResponse {
816            term: self.term,
817            vote_granted: grant_vote,
818        }
819    }
820    /// Append log entry
821    pub fn append_entry(&mut self, entry: LogEntry) -> Result<(), DistributedError> {
822        if self.state != ConsensusState::Leader {
823            return Err(DistributedError::SchedulingError("Not leader".to_string()));
824        }
825        self.log.push(entry);
826        Ok(())
827    }
828    /// Get current state
829    pub fn get_state(&self) -> (ConsensusState, u64) {
830        (self.state.clone(), self.term)
831    }
832}
833#[derive(Debug, Clone)]
834pub struct PartitioningResult {
835    pub assignments_changed: usize,
836    pub partitions_moved: Vec<PartitionMove>,
837    pub rebalance_time: Instant,
838}
839#[derive(Debug, Clone)]
840pub enum PartitioningStrategy {
841    Hash,
842    Range,
843    Random,
844}
845#[derive(Debug, Clone)]
846pub enum SchedulingPolicy {
847    FIFO,
848    ShortestJobFirst,
849    GangScheduling,
850    Backfill,
851    PriorityBased,
852}
853/// Distributed computing cluster manager
854pub struct DistributedCluster {
855    nodes: Arc<RwLock<HashMap<String, ClusterNode>>>,
856    jobs: Arc<RwLock<HashMap<String, DistributedJob>>>,
857    executions: Arc<RwLock<HashMap<String, JobExecution>>>,
858    pub(crate) job_queue: Arc<Mutex<Vec<DistributedJob>>>,
859    scheduler: Arc<Mutex<JobScheduler>>,
860    load_balancer: Arc<Mutex<LoadBalancer>>,
861    fault_detector: Arc<Mutex<FaultDetector>>,
862    config: ClusterConfig,
863}
864impl DistributedCluster {
865    /// Create new distributed cluster
866    pub fn new(config: ClusterConfig) -> Self {
867        Self {
868            nodes: Arc::new(RwLock::new(HashMap::new())),
869            jobs: Arc::new(RwLock::new(HashMap::new())),
870            executions: Arc::new(RwLock::new(HashMap::new())),
871            job_queue: Arc::new(Mutex::new(Vec::new())),
872            scheduler: Arc::new(Mutex::new(JobScheduler::new())),
873            load_balancer: Arc::new(Mutex::new(LoadBalancer::new())),
874            fault_detector: Arc::new(Mutex::new(FaultDetector::new())),
875            config,
876        }
877    }
878    /// Register a node in the cluster
879    pub fn register_node(&self, node: ClusterNode) -> Result<(), DistributedError> {
880        let mut nodes = self.nodes.write().unwrap();
881        nodes.insert(node.id.clone(), node);
882        Ok(())
883    }
884    /// Remove a node from the cluster
885    pub fn remove_node(&self, node_id: &str) -> Result<(), DistributedError> {
886        let mut nodes = self.nodes.write().unwrap();
887        nodes
888            .remove(node_id)
889            .ok_or(DistributedError::NodeNotFound)?;
890        Ok(())
891    }
892    /// Get all nodes in the cluster
893    pub fn get_nodes(&self) -> Vec<ClusterNode> {
894        self.nodes.read().unwrap().values().cloned().collect()
895    }
896    /// Get available nodes
897    pub fn get_available_nodes(&self) -> Vec<ClusterNode> {
898        self.nodes
899            .read()
900            .unwrap()
901            .values()
902            .filter(|node| node.status == NodeStatus::Available)
903            .cloned()
904            .collect()
905    }
906    /// Submit a job to the cluster
907    pub fn submit_job(&self, job: DistributedJob) -> Result<String, DistributedError> {
908        let job_id = job.id.clone();
909        self.jobs
910            .write()
911            .unwrap()
912            .insert(job_id.clone(), job.clone());
913        self.job_queue.lock().unwrap().push(job);
914        self.schedule_jobs()?;
915        Ok(job_id)
916    }
917    /// Schedule jobs in the queue
918    pub fn schedule_jobs(&self) -> Result<(), DistributedError> {
919        let scheduler = self.scheduler.lock().unwrap();
920        let mut queue = self.job_queue.lock().unwrap();
921        let nodes = self.nodes.read().unwrap();
922        queue.sort_by(|a, b| {
923            b.priority
924                .cmp(&a.priority)
925                .then_with(|| a.created_at.cmp(&b.created_at))
926        });
927        let mut scheduled_jobs = Vec::new();
928        for job in queue.iter() {
929            if let Some(node_id) = scheduler.find_suitable_node(job, &nodes) {
930                let execution = JobExecution {
931                    job_id: job.id.clone(),
932                    node_id: node_id.clone(),
933                    start_time: Instant::now(),
934                    end_time: None,
935                    status: JobStatus::Running,
936                    progress: 0.0,
937                    result: None,
938                    error: None,
939                    resource_usage: None,
940                };
941                self.executions
942                    .write()
943                    .unwrap()
944                    .insert(job.id.clone(), execution);
945                scheduled_jobs.push(job.id.clone());
946            }
947        }
948        queue.retain(|job| !scheduled_jobs.contains(&job.id));
949        Ok(())
950    }
951    /// Get job status
952    pub fn get_job_status(&self, job_id: &str) -> Option<JobStatus> {
953        self.executions
954            .read()
955            .unwrap()
956            .get(job_id)
957            .map(|exec| exec.status.clone())
958    }
959    /// Get job execution info
960    pub fn get_job_execution(&self, job_id: &str) -> Option<JobExecution> {
961        self.executions.read().unwrap().get(job_id).cloned()
962    }
963    /// Cancel a job
964    pub fn cancel_job(&self, job_id: &str) -> Result<(), DistributedError> {
965        let mut executions = self.executions.write().unwrap();
966        if let Some(execution) = executions.get_mut(job_id) {
967            execution.status = JobStatus::Cancelled;
968            execution.end_time = Some(Instant::now());
969            Ok(())
970        } else {
971            Err(DistributedError::JobNotFound)
972        }
973    }
974    /// Update node heartbeat
975    pub fn update_heartbeat(
976        &self,
977        node_id: &str,
978        load_metrics: LoadMetrics,
979    ) -> Result<(), DistributedError> {
980        let mut nodes = self.nodes.write().unwrap();
981        if let Some(node) = nodes.get_mut(node_id) {
982            node.last_heartbeat = Instant::now();
983            node.load_metrics = load_metrics;
984            node.status = self.determine_node_status(&node.load_metrics);
985            Ok(())
986        } else {
987            Err(DistributedError::NodeNotFound)
988        }
989    }
990    /// Determine node status based on load metrics
991    fn determine_node_status(&self, metrics: &LoadMetrics) -> NodeStatus {
992        if metrics.cpu_usage > 0.9 || metrics.memory_usage > 0.9 {
993            NodeStatus::Overloaded
994        } else if metrics.cpu_usage > 0.7 || metrics.memory_usage > 0.7 {
995            NodeStatus::Busy
996        } else {
997            NodeStatus::Available
998        }
999    }
1000    /// Get cluster statistics
1001    pub fn get_cluster_stats(&self) -> ClusterStats {
1002        let nodes = self.nodes.read().unwrap();
1003        let jobs = self.jobs.read().unwrap();
1004        let executions = self.executions.read().unwrap();
1005        let total_nodes = nodes.len();
1006        let available_nodes = nodes
1007            .values()
1008            .filter(|n| n.status == NodeStatus::Available)
1009            .count();
1010        let busy_nodes = nodes
1011            .values()
1012            .filter(|n| n.status == NodeStatus::Busy)
1013            .count();
1014        let overloaded_nodes = nodes
1015            .values()
1016            .filter(|n| n.status == NodeStatus::Overloaded)
1017            .count();
1018        let total_jobs = jobs.len();
1019        let running_jobs = executions
1020            .values()
1021            .filter(|e| e.status == JobStatus::Running)
1022            .count();
1023        let completed_jobs = executions
1024            .values()
1025            .filter(|e| e.status == JobStatus::Completed)
1026            .count();
1027        let failed_jobs = executions
1028            .values()
1029            .filter(|e| e.status == JobStatus::Failed)
1030            .count();
1031        let total_cpu_cores: u32 = nodes.values().map(|n| n.capabilities.cpu_cores).sum();
1032        let total_memory_gb: u32 = nodes.values().map(|n| n.capabilities.memory_gb).sum();
1033        let total_gpu_count: u32 = nodes.values().map(|n| n.capabilities.gpu_count).sum();
1034        let avg_cpu_usage = if !nodes.is_empty() {
1035            nodes
1036                .values()
1037                .map(|n| n.load_metrics.cpu_usage)
1038                .sum::<f64>()
1039                / nodes.len() as f64
1040        } else {
1041            0.0
1042        };
1043        let avg_memory_usage = if !nodes.is_empty() {
1044            nodes
1045                .values()
1046                .map(|n| n.load_metrics.memory_usage)
1047                .sum::<f64>()
1048                / nodes.len() as f64
1049        } else {
1050            0.0
1051        };
1052        ClusterStats {
1053            total_nodes,
1054            available_nodes,
1055            busy_nodes,
1056            overloaded_nodes,
1057            unreachable_nodes: total_nodes - available_nodes - busy_nodes - overloaded_nodes,
1058            total_jobs,
1059            running_jobs,
1060            completed_jobs,
1061            failed_jobs,
1062            queued_jobs: self.job_queue.lock().unwrap().len(),
1063            total_cpu_cores,
1064            total_memory_gb,
1065            total_gpu_count,
1066            avg_cpu_usage,
1067            avg_memory_usage,
1068        }
1069    }
1070    /// Start cluster monitoring
1071    pub fn start_monitoring(&self) -> Result<(), DistributedError> {
1072        let nodes = Arc::clone(&self.nodes);
1073        let executions = Arc::clone(&self.executions);
1074        let config = self.config.clone();
1075        thread::spawn(move || loop {
1076            let now = Instant::now();
1077            let mut nodes_guard = nodes.write().unwrap();
1078            for node in nodes_guard.values_mut() {
1079                if now.duration_since(node.last_heartbeat) > config.node_timeout {
1080                    node.status = NodeStatus::Unreachable;
1081                }
1082            }
1083            let mut executions_guard = executions.write().unwrap();
1084            for execution in executions_guard.values_mut() {
1085                if execution.status == JobStatus::Running
1086                    && now.duration_since(execution.start_time) > config.job_timeout
1087                {
1088                    execution.status = JobStatus::Timeout;
1089                    execution.end_time = Some(now);
1090                }
1091            }
1092            drop(nodes_guard);
1093            drop(executions_guard);
1094            thread::sleep(config.heartbeat_interval);
1095        });
1096        Ok(())
1097    }
1098    /// Rebalance workload across nodes
1099    pub fn rebalance_workload(&self) -> Result<(), DistributedError> {
1100        let load_balancer = self.load_balancer.lock().unwrap();
1101        let nodes = self.nodes.read().unwrap();
1102        load_balancer.rebalance(&nodes)?;
1103        Ok(())
1104    }
1105    /// Handle node failure
1106    pub fn handle_node_failure(&self, node_id: &str) -> Result<(), DistributedError> {
1107        let mut fault_detector = self.fault_detector.lock().unwrap();
1108        let mut executions = self.executions.write().unwrap();
1109        for execution in executions.values_mut() {
1110            if execution.node_id == node_id && execution.status == JobStatus::Running {
1111                execution.status = JobStatus::Failed;
1112                execution.end_time = Some(Instant::now());
1113                execution.error = Some("Node failure".to_string());
1114            }
1115        }
1116        fault_detector.handle_failure(node_id)?;
1117        Ok(())
1118    }
1119}
1120#[derive(Debug, Clone)]
1121pub struct ResourceAllocation {
1122    pub cpu_cores: u32,
1123    pub memory_gb: u32,
1124    pub gpu_count: u32,
1125    pub storage_gb: u32,
1126    pub network_bandwidth: u32,
1127}
1128/// Job execution information
1129#[derive(Debug, Clone)]
1130pub struct JobExecution {
1131    pub job_id: String,
1132    pub node_id: String,
1133    pub start_time: Instant,
1134    pub end_time: Option<Instant>,
1135    pub status: JobStatus,
1136    pub progress: f64,
1137    pub result: Option<String>,
1138    pub error: Option<String>,
1139    pub resource_usage: Option<ResourceUsage>,
1140}
1141/// Resource requirements
1142#[derive(Debug, Clone)]
1143pub struct ResourceRequirements {
1144    pub min_cpu_cores: u32,
1145    pub min_memory_gb: u32,
1146    pub min_gpu_count: u32,
1147    pub min_storage_gb: u32,
1148    pub preferred_node_tags: HashSet<String>,
1149    pub exclusive_access: bool,
1150}
sklears_utils/distributed_computing/types.rs

sklears_utils/distributed_computing/
types.rs
