sklears_compose/execution/
resources.rs

1//! Resource management implementations for the composable execution engine
2//!
3//! This module provides comprehensive resource management including CPU, memory,
4//! I/O, network, and GPU resource allocation with pluggable policies and monitoring.
5
6use std::collections::HashMap;
7use std::sync::{Mutex, RwLock};
8use std::time::SystemTime;
9
10use sklears_core::error::{Result as SklResult, SklearsError};
11
12use super::tasks::{ExecutionTask, ResourceRequirements};
13
14/// Resource utilization information
15#[derive(Debug, Clone)]
16pub struct ResourceUtilization {
17    /// CPU utilization percentage
18    pub cpu_percent: f64,
19    /// Memory utilization percentage
20    pub memory_percent: f64,
21    /// I/O utilization percentage
22    pub io_percent: f64,
23    /// Network utilization percentage
24    pub network_percent: f64,
25    /// Queue utilization percentage
26    pub queue_percent: f64,
27}
28
29impl Default for ResourceUtilization {
30    fn default() -> Self {
31        Self {
32            cpu_percent: 0.0,
33            memory_percent: 0.0,
34            io_percent: 0.0,
35            network_percent: 0.0,
36            queue_percent: 0.0,
37        }
38    }
39}
40
41/// Resource manager for execution engines
42pub struct ResourceManager {
43    /// Available resources
44    resources: RwLock<AvailableResources>,
45    /// Resource allocations
46    allocations: Mutex<HashMap<String, ResourceAllocation>>,
47    /// Resource policies
48    policies: ResourcePolicies,
49    /// Resource monitors
50    monitors: Vec<Box<dyn ResourceMonitor>>,
51}
52
53impl ResourceManager {
54    /// Create a new resource manager
55    pub fn new() -> SklResult<Self> {
56        let resources = AvailableResources {
57            cpu_cores: num_cpus::get(),
58            total_memory: detect_total_memory(),
59            available_memory: detect_available_memory(),
60            io_bandwidth: detect_io_bandwidth(),
61            network_bandwidth: detect_network_bandwidth(),
62            available_disk_space: detect_available_disk_space(),
63            gpu_info: detect_gpu_info(),
64        };
65
66        Ok(Self {
67            resources: RwLock::new(resources),
68            allocations: Mutex::new(HashMap::new()),
69            policies: ResourcePolicies::default(),
70            monitors: Vec::new(),
71        })
72    }
73
74    /// Check resource availability for task requirements
75    pub fn check_availability(&self, requirements: &ResourceRequirements) -> SklResult<()> {
76        let resources = self.resources.read().map_err(|_| {
77            SklearsError::InvalidInput("Failed to acquire resource lock".to_string())
78        })?;
79
80        // Check CPU cores
81        if requirements.cpu_cores > resources.cpu_cores as f64 {
82            return Err(SklearsError::InvalidInput(format!(
83                "Insufficient CPU cores: required {}, available {}",
84                requirements.cpu_cores, resources.cpu_cores
85            )));
86        }
87
88        // Check memory
89        if requirements.memory_bytes > resources.available_memory {
90            return Err(SklearsError::InvalidInput(format!(
91                "Insufficient memory: required {} bytes, available {} bytes",
92                requirements.memory_bytes, resources.available_memory
93            )));
94        }
95
96        // Check disk space
97        if requirements.disk_bytes > 0 && requirements.disk_bytes > resources.available_disk_space {
98            return Err(SklearsError::InvalidInput(format!(
99                "Insufficient disk space: required {} bytes, available {} bytes",
100                requirements.disk_bytes, resources.available_disk_space
101            )));
102        }
103
104        // Check network bandwidth
105        if requirements.network_bandwidth > resources.network_bandwidth {
106            return Err(SklearsError::InvalidInput(
107                "Insufficient network bandwidth".to_string(),
108            ));
109        }
110
111        // Check GPU memory
112        if requirements.gpu_memory_bytes > 0 {
113            let available_gpu_memory: u64 = resources
114                .gpu_info
115                .iter()
116                .map(|gpu| gpu.available_memory)
117                .sum();
118
119            if requirements.gpu_memory_bytes > available_gpu_memory {
120                return Err(SklearsError::InvalidInput(
121                    "Insufficient GPU memory".to_string(),
122                ));
123            }
124        }
125
126        Ok(())
127    }
128
129    /// Allocate resources for a task
130    pub fn allocate_resources(&self, task: &ExecutionTask) -> SklResult<ResourceAllocation> {
131        self.check_availability(&task.requirements)?;
132
133        let allocation = match self.policies.cpu_policy {
134            CpuAllocationPolicy::Exclusive => self.allocate_exclusive_resources(task)?,
135            CpuAllocationPolicy::Shared => self.allocate_shared_resources(task)?,
136            CpuAllocationPolicy::NumaAware => self.allocate_numa_aware_resources(task)?,
137            CpuAllocationPolicy::PowerEfficient => self.allocate_power_efficient_resources(task)?,
138        };
139
140        let mut allocations = self.allocations.lock().map_err(|_| {
141            SklearsError::InvalidInput("Failed to acquire allocation lock".to_string())
142        })?;
143        allocations.insert(task.id.clone(), allocation.clone());
144
145        // Update available resources
146        self.update_available_resources(&allocation, false)?;
147
148        Ok(allocation)
149    }
150
151    /// Release resources from an allocation
152    pub fn release_resources(&self, allocation: &ResourceAllocation) -> SklResult<()> {
153        let mut allocations = self.allocations.lock().map_err(|_| {
154            SklearsError::InvalidInput("Failed to acquire allocation lock".to_string())
155        })?;
156
157        if allocations.remove(&allocation.task_id).is_some() {
158            // Update available resources
159            self.update_available_resources(allocation, true)?;
160        }
161
162        Ok(())
163    }
164
165    /// Get resource utilization statistics
166    pub fn get_utilization(&self) -> SklResult<ResourceUtilization> {
167        let resources = self.resources.read().map_err(|_| {
168            SklearsError::InvalidInput("Failed to acquire resource lock".to_string())
169        })?;
170
171        let allocations = self.allocations.lock().map_err(|_| {
172            SklearsError::InvalidInput("Failed to acquire allocation lock".to_string())
173        })?;
174
175        let allocated_cores: usize = allocations
176            .values()
177            .map(|alloc| alloc.cpu_cores.len())
178            .sum();
179
180        let allocated_memory: u64 = allocations
181            .values()
182            .filter_map(|alloc| alloc.memory_range.map(|(_, size)| size))
183            .sum();
184
185        let allocated_io: u64 = allocations
186            .values()
187            .filter_map(|alloc| alloc.io_bandwidth)
188            .sum();
189
190        let cpu_percent = (allocated_cores as f64 / resources.cpu_cores as f64) * 100.0;
191        let memory_percent = (allocated_memory as f64 / resources.total_memory as f64) * 100.0;
192
193        let io_percent = if resources.io_bandwidth > 0 {
194            (allocated_io as f64 / resources.io_bandwidth as f64) * 100.0
195        } else {
196            0.0
197        };
198
199        // Network utilization: sum of all allocated network bandwidth requirements
200        // Note: Allocations don't currently track network bandwidth separately,
201        // so we estimate based on task requirements if available
202        let network_percent = 0.0; // Conservative estimate until network tracking is added to allocations
203
204        // Queue utilization: percentage of active allocations vs some maximum
205        // We use a heuristic of max 1000 concurrent tasks
206        let max_concurrent_tasks = 1000;
207        let queue_percent = (allocations.len() as f64 / max_concurrent_tasks as f64) * 100.0;
208
209        Ok(ResourceUtilization {
210            cpu_percent,
211            memory_percent,
212            io_percent,
213            network_percent,
214            queue_percent,
215        })
216    }
217
218    /// Add a resource monitor
219    pub fn add_monitor(&mut self, monitor: Box<dyn ResourceMonitor>) {
220        self.monitors.push(monitor);
221    }
222
223    /// Collect metrics from all monitors
224    pub fn collect_all_metrics(&self) -> Vec<ResourceMetrics> {
225        self.monitors
226            .iter()
227            .map(|monitor| monitor.collect_metrics())
228            .collect()
229    }
230
231    /// Update resource policies
232    pub fn update_policies(&mut self, policies: ResourcePolicies) {
233        self.policies = policies;
234    }
235
236    /// Get current resource policies
237    pub fn get_policies(&self) -> ResourcePolicies {
238        self.policies.clone()
239    }
240
241    // Private helper methods
242
243    fn allocate_exclusive_resources(&self, task: &ExecutionTask) -> SklResult<ResourceAllocation> {
244        let resources = self.resources.read().map_err(|_| {
245            SklearsError::InvalidInput("Failed to acquire resource lock".to_string())
246        })?;
247
248        let required_cores = task.requirements.cpu_cores.ceil() as usize;
249        let cpu_cores: Vec<usize> = (0..required_cores.min(resources.cpu_cores)).collect();
250
251        Ok(ResourceAllocation {
252            task_id: task.id.clone(),
253            cpu_cores,
254            memory_range: Some((0, task.requirements.memory_bytes)),
255            io_bandwidth: Some(task.requirements.network_bandwidth),
256            gpu_id: if task.requirements.gpu_memory_bytes > 0 {
257                Some(0)
258            } else {
259                None
260            },
261            allocated_at: SystemTime::now(),
262        })
263    }
264
265    fn allocate_shared_resources(&self, task: &ExecutionTask) -> SklResult<ResourceAllocation> {
266        let resources = self.resources.read().map_err(|_| {
267            SklearsError::InvalidInput("Failed to acquire resource lock".to_string())
268        })?;
269
270        // For shared allocation, assign virtual cores
271        let required_cores = task.requirements.cpu_cores.ceil() as usize;
272        let cpu_cores: Vec<usize> = (0..required_cores.min(resources.cpu_cores)).collect();
273
274        Ok(ResourceAllocation {
275            task_id: task.id.clone(),
276            cpu_cores,
277            memory_range: Some((0, task.requirements.memory_bytes)),
278            io_bandwidth: Some(task.requirements.network_bandwidth),
279            gpu_id: if task.requirements.gpu_memory_bytes > 0 {
280                Some(0)
281            } else {
282                None
283            },
284            allocated_at: SystemTime::now(),
285        })
286    }
287
288    fn allocate_numa_aware_resources(&self, task: &ExecutionTask) -> SklResult<ResourceAllocation> {
289        // Simplified NUMA-aware allocation
290        self.allocate_shared_resources(task)
291    }
292
293    fn allocate_power_efficient_resources(
294        &self,
295        task: &ExecutionTask,
296    ) -> SklResult<ResourceAllocation> {
297        // Simplified power-efficient allocation
298        self.allocate_shared_resources(task)
299    }
300
301    fn update_available_resources(
302        &self,
303        allocation: &ResourceAllocation,
304        release: bool,
305    ) -> SklResult<()> {
306        let mut resources = self.resources.write().map_err(|_| {
307            SklearsError::InvalidInput("Failed to acquire resource lock".to_string())
308        })?;
309
310        if let Some((_, memory_size)) = allocation.memory_range {
311            if release {
312                resources.available_memory += memory_size;
313            } else {
314                resources.available_memory = resources.available_memory.saturating_sub(memory_size);
315            }
316        }
317
318        Ok(())
319    }
320}
321
322/// Available system resources
323#[derive(Debug, Clone)]
324pub struct AvailableResources {
325    /// CPU cores
326    pub cpu_cores: usize,
327    /// Total memory (bytes)
328    pub total_memory: u64,
329    /// Available memory (bytes)
330    pub available_memory: u64,
331    /// I/O bandwidth (bytes/sec)
332    pub io_bandwidth: u64,
333    /// Network bandwidth (bytes/sec)
334    pub network_bandwidth: u64,
335    /// Available disk space (bytes)
336    pub available_disk_space: u64,
337    /// GPU information
338    pub gpu_info: Vec<GpuInfo>,
339}
340
341/// GPU information
342#[derive(Debug, Clone)]
343pub struct GpuInfo {
344    /// GPU identifier
345    pub id: usize,
346    /// GPU name
347    pub name: String,
348    /// Total memory (bytes)
349    pub total_memory: u64,
350    /// Available memory (bytes)
351    pub available_memory: u64,
352    /// Compute capability
353    pub compute_capability: String,
354    /// GPU vendor
355    pub vendor: GpuVendor,
356    /// Device utilization percentage
357    pub utilization: f64,
358}
359
360/// GPU vendor information
361#[derive(Debug, Clone, PartialEq)]
362pub enum GpuVendor {
363    /// Nvidia
364    Nvidia,
365    /// AMD
366    AMD,
367    /// Intel
368    Intel,
369    /// Apple
370    Apple,
371    /// Unknown
372    Unknown,
373}
374
375/// Resource allocation for a task
376#[derive(Debug, Clone)]
377pub struct ResourceAllocation {
378    /// Task identifier
379    pub task_id: String,
380    /// Allocated CPU cores
381    pub cpu_cores: Vec<usize>,
382    /// Allocated memory range (start, size)
383    pub memory_range: Option<(u64, u64)>,
384    /// Allocated I/O bandwidth
385    pub io_bandwidth: Option<u64>,
386    /// Allocated GPU
387    pub gpu_id: Option<usize>,
388    /// Allocation timestamp
389    pub allocated_at: SystemTime,
390}
391
392/// Resource management policies
393#[derive(Debug, Clone)]
394pub struct ResourcePolicies {
395    /// CPU allocation policy
396    pub cpu_policy: CpuAllocationPolicy,
397    /// Memory allocation policy
398    pub memory_policy: MemoryAllocationPolicy,
399    /// I/O allocation policy
400    pub io_policy: IoAllocationPolicy,
401    /// Priority-based allocation
402    pub priority_allocation: bool,
403    /// Fair share allocation
404    pub fair_share: bool,
405}
406
407impl Default for ResourcePolicies {
408    fn default() -> Self {
409        Self {
410            cpu_policy: CpuAllocationPolicy::Shared,
411            memory_policy: MemoryAllocationPolicy::FirstFit,
412            io_policy: IoAllocationPolicy::FairQueuing,
413            priority_allocation: true,
414            fair_share: true,
415        }
416    }
417}
418
419/// CPU allocation policies
420#[derive(Debug, Clone, PartialEq)]
421pub enum CpuAllocationPolicy {
422    /// Exclusive CPU allocation
423    Exclusive,
424    /// Shared CPU allocation
425    Shared,
426    /// NUMA-aware allocation
427    NumaAware,
428    /// Power-efficient allocation
429    PowerEfficient,
430}
431
432/// Memory allocation policies
433#[derive(Debug, Clone, PartialEq)]
434pub enum MemoryAllocationPolicy {
435    /// First fit allocation
436    FirstFit,
437    /// Best fit allocation
438    BestFit,
439    /// Worst fit allocation
440    WorstFit,
441    /// Buddy system allocation
442    BuddySystem,
443    /// Slab allocator
444    SlabAllocator,
445}
446
447/// I/O allocation policies
448#[derive(Debug, Clone, PartialEq)]
449pub enum IoAllocationPolicy {
450    /// First In, First Out
451    FIFO,
452    /// Fair queuing
453    FairQueuing,
454    /// Weighted fair queuing
455    WeightedFairQueuing,
456    /// Deadline scheduling
457    DeadlineScheduling,
458}
459
460/// Resource monitor trait for pluggable monitoring
461pub trait ResourceMonitor: Send + Sync {
462    /// Monitor name
463    fn name(&self) -> &str;
464
465    /// Collect resource metrics
466    fn collect_metrics(&self) -> ResourceMetrics;
467
468    /// Check resource health
469    fn check_health(&self) -> ResourceHealth;
470
471    /// Get monitor configuration
472    fn get_config(&self) -> MonitorConfig;
473
474    /// Update monitor configuration
475    fn update_config(&mut self, config: MonitorConfig) -> SklResult<()>;
476}
477
478/// Resource metrics collected by monitors
479#[derive(Debug, Clone)]
480pub struct ResourceMetrics {
481    /// Timestamp when metrics were collected
482    pub timestamp: SystemTime,
483    /// CPU metrics
484    pub cpu: CpuMetrics,
485    /// Memory metrics
486    pub memory: MemoryMetrics,
487    /// I/O metrics
488    pub io: IoMetrics,
489    /// Network metrics
490    pub network: NetworkMetrics,
491    /// GPU metrics
492    pub gpu: Vec<GpuMetrics>,
493}
494
495impl Default for ResourceMetrics {
496    fn default() -> Self {
497        Self {
498            timestamp: SystemTime::now(),
499            cpu: CpuMetrics::default(),
500            memory: MemoryMetrics::default(),
501            io: IoMetrics::default(),
502            network: NetworkMetrics::default(),
503            gpu: Vec::new(),
504        }
505    }
506}
507
508/// CPU metrics
509#[derive(Debug, Clone)]
510pub struct CpuMetrics {
511    /// Overall CPU utilization
512    pub utilization: f64,
513    /// Per-core utilization
514    pub per_core: Vec<f64>,
515    /// CPU frequency
516    pub frequency: f64,
517    /// Temperature (if available)
518    pub temperature: Option<f64>,
519    /// Power consumption (if available)
520    pub power_consumption: Option<f64>,
521}
522
523impl Default for CpuMetrics {
524    fn default() -> Self {
525        Self {
526            utilization: 0.0,
527            per_core: Vec::new(),
528            frequency: 0.0,
529            temperature: None,
530            power_consumption: None,
531        }
532    }
533}
534
535/// Memory metrics
536#[derive(Debug, Clone, Default)]
537pub struct MemoryMetrics {
538    /// Used memory (bytes)
539    pub used: u64,
540    /// Available memory (bytes)
541    pub available: u64,
542    /// Cached memory (bytes)
543    pub cached: u64,
544    /// Buffer memory (bytes)
545    pub buffers: u64,
546    /// Swap usage (bytes)
547    pub swap_used: u64,
548}
549
550/// I/O metrics
551#[derive(Debug, Clone)]
552pub struct IoMetrics {
553    /// Read operations per second
554    pub read_ops: f64,
555    /// Write operations per second
556    pub write_ops: f64,
557    /// Read bandwidth (bytes/sec)
558    pub read_bandwidth: f64,
559    /// Write bandwidth (bytes/sec)
560    pub write_bandwidth: f64,
561    /// I/O wait time
562    pub io_wait: f64,
563}
564
565impl Default for IoMetrics {
566    fn default() -> Self {
567        Self {
568            read_ops: 0.0,
569            write_ops: 0.0,
570            read_bandwidth: 0.0,
571            write_bandwidth: 0.0,
572            io_wait: 0.0,
573        }
574    }
575}
576
577/// Network metrics
578#[derive(Debug, Clone)]
579pub struct NetworkMetrics {
580    /// Bytes received per second
581    pub rx_bytes: f64,
582    /// Bytes transmitted per second
583    pub tx_bytes: f64,
584    /// Packets received per second
585    pub rx_packets: f64,
586    /// Packets transmitted per second
587    pub tx_packets: f64,
588    /// Network latency (if available)
589    pub latency: Option<f64>,
590}
591
592impl Default for NetworkMetrics {
593    fn default() -> Self {
594        Self {
595            rx_bytes: 0.0,
596            tx_bytes: 0.0,
597            rx_packets: 0.0,
598            tx_packets: 0.0,
599            latency: None,
600        }
601    }
602}
603
604/// GPU metrics
605#[derive(Debug, Clone)]
606pub struct GpuMetrics {
607    /// GPU identifier
608    pub gpu_id: usize,
609    /// GPU utilization percentage
610    pub utilization: f64,
611    /// Memory utilization percentage
612    pub memory_utilization: f64,
613    /// Temperature (if available)
614    pub temperature: Option<f64>,
615    /// Power consumption (if available)
616    pub power_consumption: Option<f64>,
617}
618
619/// Resource health status
620#[derive(Debug, Clone, PartialEq)]
621pub enum ResourceHealth {
622    /// Resources are healthy
623    Healthy,
624    /// Resources have warnings
625    Warning { reason: String },
626    /// Resources are in critical state
627    Critical { reason: String },
628    /// Resources are unavailable
629    Unavailable,
630}
631
632/// Monitor configuration
633#[derive(Debug, Clone)]
634pub struct MonitorConfig {
635    /// Monitoring interval
636    pub interval: std::time::Duration,
637    /// Enable detailed monitoring
638    pub detailed: bool,
639    /// Alert thresholds
640    pub thresholds: AlertThresholds,
641}
642
643impl Default for MonitorConfig {
644    fn default() -> Self {
645        Self {
646            interval: std::time::Duration::from_secs(5),
647            detailed: false,
648            thresholds: AlertThresholds::default(),
649        }
650    }
651}
652
653/// Alert thresholds for resource monitoring
654#[derive(Debug, Clone)]
655pub struct AlertThresholds {
656    /// CPU utilization threshold
657    pub cpu_threshold: f64,
658    /// Memory utilization threshold
659    pub memory_threshold: f64,
660    /// I/O utilization threshold
661    pub io_threshold: f64,
662    /// Network utilization threshold
663    pub network_threshold: f64,
664    /// GPU utilization threshold
665    pub gpu_threshold: f64,
666}
667
668impl Default for AlertThresholds {
669    fn default() -> Self {
670        Self {
671            cpu_threshold: 90.0,
672            memory_threshold: 85.0,
673            io_threshold: 80.0,
674            network_threshold: 75.0,
675            gpu_threshold: 90.0,
676        }
677    }
678}
679
680/// System resource monitor implementation
681pub struct SystemResourceMonitor {
682    config: MonitorConfig,
683}
684
685impl SystemResourceMonitor {
686    /// Create a new system resource monitor
687    #[must_use]
688    pub fn new(config: MonitorConfig) -> Self {
689        Self { config }
690    }
691}
692
693impl ResourceMonitor for SystemResourceMonitor {
694    fn name(&self) -> &'static str {
695        "system_resource_monitor"
696    }
697
698    fn collect_metrics(&self) -> ResourceMetrics {
699        /// ResourceMetrics
700        ResourceMetrics {
701            timestamp: SystemTime::now(),
702            cpu: collect_cpu_metrics(),
703            memory: collect_memory_metrics(),
704            io: collect_io_metrics(),
705            network: collect_network_metrics(),
706            gpu: collect_gpu_metrics(),
707        }
708    }
709
710    fn check_health(&self) -> ResourceHealth {
711        let metrics = self.collect_metrics();
712
713        if metrics.cpu.utilization > self.config.thresholds.cpu_threshold {
714            return ResourceHealth::Critical {
715                reason: format!("CPU utilization too high: {:.1}%", metrics.cpu.utilization),
716            };
717        }
718
719        if metrics.memory.used as f64 / (metrics.memory.used + metrics.memory.available) as f64
720            * 100.0
721            > self.config.thresholds.memory_threshold
722        {
723            return ResourceHealth::Warning {
724                reason: "Memory utilization high".to_string(),
725            };
726        }
727
728        ResourceHealth::Healthy
729    }
730
731    fn get_config(&self) -> MonitorConfig {
732        self.config.clone()
733    }
734
735    fn update_config(&mut self, config: MonitorConfig) -> SklResult<()> {
736        self.config = config;
737        Ok(())
738    }
739}
740
741// Platform-specific resource detection functions
742// These are placeholder implementations
743
744fn detect_total_memory() -> u64 {
745    // Placeholder: 8GB
746    8 * 1024 * 1024 * 1024
747}
748
749fn detect_available_memory() -> u64 {
750    // Placeholder: 6GB
751    6 * 1024 * 1024 * 1024
752}
753
754fn detect_io_bandwidth() -> u64 {
755    // Placeholder: 1GB/s
756    1000 * 1024 * 1024
757}
758
759fn detect_network_bandwidth() -> u64 {
760    // Placeholder: 100MB/s
761    100 * 1024 * 1024
762}
763
764fn detect_gpu_info() -> Vec<GpuInfo> {
765    // Placeholder: Empty GPU info
766    Vec::new()
767}
768
769fn detect_available_disk_space() -> u64 {
770    // Attempt to detect available disk space on the current directory
771    // Falls back to a conservative placeholder if detection fails
772    #[cfg(unix)]
773    {
774        use std::ffi::CString;
775        use std::mem;
776        use std::os::raw::{c_char, c_ulong};
777
778        #[repr(C)]
779        struct StatVfs {
780            f_bsize: c_ulong,
781            f_frsize: c_ulong,
782            f_blocks: c_ulong,
783            f_bfree: c_ulong,
784            f_bavail: c_ulong,
785            // ... other fields omitted for brevity
786        }
787
788        extern "C" {
789            fn statvfs(path: *const c_char, buf: *mut StatVfs) -> i32;
790        }
791
792        let path = CString::new(".").unwrap();
793        let mut stat: StatVfs = unsafe { mem::zeroed() };
794
795        if unsafe { statvfs(path.as_ptr(), &mut stat) } == 0 {
796            // Available space = f_bavail * f_frsize (blocks available to non-root * fragment size)
797            return stat.f_bavail.saturating_mul(stat.f_frsize);
798        }
799    }
800
801    // Placeholder fallback: 100GB
802    100 * 1024 * 1024 * 1024
803}
804
805fn collect_cpu_metrics() -> CpuMetrics {
806    CpuMetrics::default()
807}
808
809fn collect_memory_metrics() -> MemoryMetrics {
810    MemoryMetrics::default()
811}
812
813fn collect_io_metrics() -> IoMetrics {
814    IoMetrics::default()
815}
816
817fn collect_network_metrics() -> NetworkMetrics {
818    NetworkMetrics::default()
819}
820
821fn collect_gpu_metrics() -> Vec<GpuMetrics> {
822    Vec::new()
823}
824
825#[allow(non_snake_case)]
826#[cfg(test)]
827mod tests {
828    use super::*;
829    use crate::execution::tasks::*;
830
831    #[test]
832    fn test_resource_manager_creation() {
833        let resource_manager = ResourceManager::new();
834        assert!(resource_manager.is_ok());
835    }
836
837    #[test]
838    fn test_resource_allocation() {
839        let resource_manager = ResourceManager::new().unwrap();
840        let task = create_test_task();
841
842        let allocation = resource_manager.allocate_resources(&task);
843        assert!(allocation.is_ok());
844
845        let alloc = allocation.unwrap();
846        assert_eq!(alloc.task_id, task.id);
847        assert!(!alloc.cpu_cores.is_empty());
848    }
849
850    #[test]
851    fn test_resource_release() {
852        let resource_manager = ResourceManager::new().unwrap();
853        let task = create_test_task();
854
855        let allocation = resource_manager.allocate_resources(&task).unwrap();
856        let result = resource_manager.release_resources(&allocation);
857        assert!(result.is_ok());
858    }
859
860    #[test]
861    fn test_system_resource_monitor() {
862        let config = MonitorConfig::default();
863        let monitor = SystemResourceMonitor::new(config);
864
865        assert_eq!(monitor.name(), "system_resource_monitor");
866
867        let metrics = monitor.collect_metrics();
868        assert!(metrics.timestamp <= SystemTime::now());
869
870        let health = monitor.check_health();
871        assert!(matches!(health, ResourceHealth::Healthy));
872    }
873
874    fn create_test_task() -> ExecutionTask {
875        /// ExecutionTask
876        ExecutionTask {
877            id: "test_task_1".to_string(),
878            task_type: TaskType::Computation,
879            metadata: TaskMetadata {
880                name: "Test Task".to_string(),
881                description: "A test task".to_string(),
882                priority: TaskPriority::Normal,
883                estimated_duration: Some(std::time::Duration::from_secs(10)),
884                deadline: None,
885                dependencies: Vec::new(),
886                tags: Vec::new(),
887                created_at: SystemTime::now(),
888            },
889            requirements: ResourceRequirements {
890                cpu_cores: 1.0,
891                memory_bytes: 1024 * 1024,
892                disk_bytes: 0,
893                network_bandwidth: 0,
894                gpu_memory_bytes: 0,
895                special_resources: Vec::new(),
896            },
897            input_data: None,
898            configuration: TaskConfiguration::default(),
899        }
900    }
901}
sklears_compose/execution/resources.rs

sklears_compose/execution/
resources.rs
