use std::collections::{HashMap, HashSet};
use std::sync::{Arc, Mutex, RwLock};
use std::time::{Duration, SystemTime};
use scirs2_core::ndarray::Array2;
use tokio::sync::{broadcast, mpsc};
use crate::DeviceResult;
use super::capabilities::*;
use super::config::*;
use super::engines::*;
use super::events::*;
use super::types::*;
pub struct ProviderCapabilityDiscoverySystem {
pub(crate) config: DiscoveryConfig,
pub(crate) providers: Arc<RwLock<HashMap<String, ProviderInfo>>>,
pub(crate) capability_cache: Arc<RwLock<HashMap<String, CachedCapability>>>,
pub(crate) discovery_engine: Arc<RwLock<CapabilityDiscoveryEngine>>,
pub(crate) analytics: Arc<RwLock<CapabilityAnalytics>>,
pub(crate) comparison_engine: Arc<RwLock<ProviderComparisonEngine>>,
pub(crate) monitor: Arc<RwLock<CapabilityMonitor>>,
pub(crate) event_sender: broadcast::Sender<DiscoveryEvent>,
#[allow(dead_code)]
pub(crate) command_receiver: Arc<Mutex<mpsc::UnboundedReceiver<DiscoveryCommand>>>,
}
impl ProviderCapabilityDiscoverySystem {
pub fn new(config: DiscoveryConfig) -> Self {
let (event_sender, _) = broadcast::channel(1000);
let (_command_sender, command_receiver) = mpsc::unbounded_channel();
Self {
config: config.clone(),
providers: Arc::new(RwLock::new(HashMap::new())),
capability_cache: Arc::new(RwLock::new(HashMap::new())),
discovery_engine: Arc::new(RwLock::new(CapabilityDiscoveryEngine::new())),
analytics: Arc::new(RwLock::new(CapabilityAnalytics::new(
config.analytics_config.clone(),
))),
comparison_engine: Arc::new(RwLock::new(ProviderComparisonEngine::new(
config.comparison_config.clone(),
))),
monitor: Arc::new(RwLock::new(CapabilityMonitor::new(
config.monitoring_config,
))),
event_sender,
command_receiver: Arc::new(Mutex::new(command_receiver)),
}
}
pub async fn start(&self) -> DeviceResult<()> {
if self.config.enable_auto_discovery {
self.start_auto_discovery().await?;
}
if self.config.enable_monitoring {
self.start_monitoring().await?;
}
if self.config.enable_analytics {
self.start_analytics().await?;
}
Ok(())
}
pub async fn discover_providers(&self) -> DeviceResult<Vec<ProviderInfo>> {
let discovery_engine = self
.discovery_engine
.read()
.unwrap_or_else(|e| e.into_inner());
discovery_engine.discover_providers().await
}
pub async fn get_provider_capabilities(
&self,
provider_id: &str,
) -> DeviceResult<Option<ProviderCapabilities>> {
{
let cache = self
.capability_cache
.read()
.unwrap_or_else(|e| e.into_inner());
if let Some(cached) = cache.get(provider_id) {
if cached.expires_at > SystemTime::now() {
return Ok(Some(cached.capabilities.clone()));
}
}
}
let capabilities = self.discover_provider_capabilities(provider_id).await?;
if let Some(caps) = &capabilities {
self.cache_capabilities(provider_id, caps.clone()).await?;
}
Ok(capabilities)
}
pub async fn compare_providers(
&self,
provider_ids: &[String],
criteria: &[ComparisonCriterion],
) -> DeviceResult<ComparisonResults> {
let comparison_engine = self
.comparison_engine
.read()
.unwrap_or_else(|e| e.into_inner());
comparison_engine
.compare_providers(provider_ids, criteria)
.await
}
pub async fn get_recommendations(
&self,
requirements: &CapabilityRequirements,
) -> DeviceResult<Vec<ProviderRecommendation>> {
let providers = self.discover_providers().await?;
let filtered_providers = self.filter_providers(&providers, requirements)?;
let recommendations = self
.generate_recommendations(&filtered_providers, requirements)
.await?;
Ok(recommendations)
}
async fn start_auto_discovery(&self) -> DeviceResult<()> {
Ok(())
}
async fn start_monitoring(&self) -> DeviceResult<()> {
Ok(())
}
async fn start_analytics(&self) -> DeviceResult<()> {
Ok(())
}
async fn discover_provider_capabilities(
&self,
_provider_id: &str,
) -> DeviceResult<Option<ProviderCapabilities>> {
Ok(Some(create_mock_capabilities()))
}
async fn cache_capabilities(
&self,
provider_id: &str,
capabilities: ProviderCapabilities,
) -> DeviceResult<()> {
let mut cache = self
.capability_cache
.write()
.unwrap_or_else(|e| e.into_inner());
let cached_capability = CachedCapability {
provider_id: provider_id.to_string(),
capabilities,
cached_at: SystemTime::now(),
expires_at: SystemTime::now() + self.config.cache_expiration,
verification_status: VerificationStatus::Unverified,
access_count: 0,
};
cache.insert(provider_id.to_string(), cached_capability);
Ok(())
}
fn filter_providers(
&self,
providers: &[ProviderInfo],
_requirements: &CapabilityRequirements,
) -> DeviceResult<Vec<ProviderInfo>> {
Ok(providers.to_vec())
}
async fn generate_recommendations(
&self,
_providers: &[ProviderInfo],
_requirements: &CapabilityRequirements,
) -> DeviceResult<Vec<ProviderRecommendation>> {
Ok(Vec::new())
}
}
fn create_mock_capabilities() -> ProviderCapabilities {
ProviderCapabilities {
basic: BasicCapabilities {
qubit_count: 5,
gate_set: ["H", "CNOT", "RZ"].iter().map(|s| s.to_string()).collect(),
connectivity: ConnectivityGraph {
adjacency_list: HashMap::new(),
edge_weights: None,
topology_type: TopologyType::Linear,
metrics: ConnectivityMetrics {
average_degree: 2.0,
clustering_coefficient: 0.0,
diameter: 4,
density: 0.4,
connected_components: 1,
},
},
measurement_types: vec![MeasurementType::ComputationalBasis],
classical_register_size: 5,
max_circuit_depth: Some(1000),
max_shots: Some(8192),
},
hardware: HardwareCapabilities {
quantum_volume: Some(32),
error_rates: ErrorRates {
single_qubit_gates: HashMap::new(),
two_qubit_gates: HashMap::new(),
readout_errors: HashMap::new(),
average_error_rate: 0.01,
error_rate_variance: 0.001,
},
coherence_times: CoherenceTimes {
t1_times: HashMap::new(),
t2_times: HashMap::new(),
average_t1: Duration::from_micros(100),
average_t2: Duration::from_micros(50),
},
gate_times: HashMap::new(),
crosstalk: CrosstalkCharacteristics {
crosstalk_matrix: Array2::zeros((5, 5)),
spectral_crosstalk: HashMap::new(),
temporal_crosstalk: HashMap::new(),
mitigation_strategies: Vec::new(),
},
calibration: CalibrationInfo {
last_calibration: SystemTime::now(),
calibration_frequency: Duration::from_secs(86400),
quality_score: 0.95,
drift_rate: 0.01,
calibration_method: "standard".to_string(),
},
temperature: Some(0.01),
noise_characteristics: NoiseCharacteristics {
noise_model_type: "depolarizing".to_string(),
noise_parameters: HashMap::new(),
noise_correlations: Array2::zeros((5, 5)),
environmental_factors: HashMap::new(),
},
},
software: SoftwareCapabilities {
supported_frameworks: vec![QuantumFramework::Qiskit],
programming_languages: vec!["Python".to_string()],
compilation_features: CompilationFeatures {
circuit_optimization: true,
gate_synthesis: true,
routing_algorithms: vec!["basic".to_string()],
transpilation_passes: vec!["optimization".to_string()],
custom_compilation: false,
},
optimization_features: OptimizationFeatures {
parameter_optimization: true,
depth_optimization: true,
gate_count_optimization: true,
noise_aware_optimization: false,
variational_algorithms: vec!["VQE".to_string()],
},
simulation_capabilities: SimulationCapabilities {
classical_simulation: true,
noise_simulation: true,
error_simulation: false,
max_simulated_qubits: Some(20),
simulation_backends: vec!["statevector".to_string()],
},
integration_capabilities: IntegrationCapabilities {
rest_api: true,
graphql_api: false,
websocket_support: false,
sdk_languages: vec!["Python".to_string()],
third_party_integrations: Vec::new(),
},
},
performance: PerformanceCapabilities {
throughput: ThroughputMetrics {
circuits_per_hour: 100.0,
shots_per_second: 1000.0,
jobs_per_day: 2000.0,
peak_throughput: 150.0,
sustained_throughput: 80.0,
},
latency: LatencyMetrics {
submission_latency: Duration::from_millis(100),
queue_wait_time: Duration::from_secs(60),
execution_time: Duration::from_millis(500),
result_retrieval_time: Duration::from_millis(50),
total_turnaround_time: Duration::from_secs(61),
},
availability: AvailabilityMetrics {
uptime_percentage: 99.5,
mtbf: Duration::from_secs(30 * 86400),
mttr: Duration::from_secs(3600),
maintenance_windows: Vec::new(),
sla: None,
},
scalability: ScalabilityCharacteristics {
horizontal_scalability: false,
vertical_scalability: true,
auto_scaling: false,
max_concurrent_jobs: Some(10),
load_balancing: false,
},
resource_utilization: ResourceUtilizationMetrics {
cpu_utilization: 0.7,
memory_utilization: 0.6,
network_utilization: 0.3,
storage_utilization: 0.4,
quantum_utilization: 0.8,
},
},
cost: CostCapabilities {
cost_model: CostModel {
pricing_structure: PricingStructure::Variable,
cost_factors: Vec::new(),
volume_discounts: Vec::new(),
regional_pricing: HashMap::new(),
supported_currencies: vec!["USD".to_string()],
},
cost_optimization: CostOptimizationFeatures {
cost_estimation: true,
cost_tracking: true,
budget_alerts: false,
optimization_recommendations: false,
spot_pricing: false,
},
budget_management: BudgetManagementFeatures {
budget_setting: false,
budget_monitoring: false,
spending_limits: false,
cost_allocation: false,
invoice_management: false,
},
cost_transparency: CostTransparencyFeatures {
realtime_cost_display: false,
detailed_breakdown: false,
historical_analysis: false,
comparison_tools: false,
cost_reporting: false,
},
},
security: SecurityCapabilities {
authentication: vec![AuthenticationMethod::APIKey],
authorization: vec![AuthorizationModel::RBAC],
encryption: EncryptionCapabilities {
data_at_rest: true,
data_in_transit: true,
end_to_end: false,
algorithms: vec!["AES-256".to_string()],
key_management: KeyManagementCapabilities {
customer_managed_keys: false,
hsm_support: false,
key_rotation: true,
key_escrow: false,
mpc_support: false,
},
},
compliance: vec![ComplianceStandard::SOC2],
security_monitoring: SecurityMonitoringCapabilities {
audit_logging: true,
intrusion_detection: false,
anomaly_detection: false,
security_alerts: false,
threat_intelligence: false,
},
},
support: SupportCapabilities {
support_channels: vec![SupportChannel::Email, SupportChannel::Documentation],
support_hours: SupportHours {
business_hours: true,
twenty_four_seven: false,
weekend_support: false,
holiday_support: false,
timezone_coverage: vec!["UTC".to_string()],
},
response_times: ResponseTimeGuarantees {
critical_response_time: Duration::from_secs(3600),
high_priority_response_time: Duration::from_secs(7200),
medium_priority_response_time: Duration::from_secs(86400),
low_priority_response_time: Duration::from_secs(3 * 86400),
first_response_time: Duration::from_secs(1800),
},
documentation_quality: DocumentationQuality {
completeness_score: 0.8,
accuracy_score: 0.9,
clarity_score: 0.85,
up_to_date_score: 0.9,
example_quality: 0.8,
},
training_education: TrainingEducationCapabilities {
online_courses: false,
workshops: false,
certification_programs: false,
consulting_services: false,
community_forums: true,
},
},
advanced_features: AdvancedFeatures {
ml_integration: MLIntegrationFeatures {
quantum_ml: false,
classical_ml_integration: false,
automl_support: false,
ml_frameworks: Vec::new(),
gpu_acceleration: false,
},
hybrid_computing: HybridComputingFeatures {
classical_quantum_integration: false,
realtime_feedback: false,
iterative_algorithms: false,
hpc_integration: false,
edge_computing: false,
},
quantum_networking: QuantumNetworkingFeatures {
quantum_internet: false,
qkd_support: false,
distributed_computing: false,
quantum_teleportation: false,
network_protocols: Vec::new(),
},
research_capabilities: ResearchCapabilities {
research_partnerships: false,
academic_pricing: true,
research_tools: false,
data_sharing: false,
publication_support: false,
},
experimental_features: Vec::new(),
},
}
}
pub fn create_provider_discovery_system() -> ProviderCapabilityDiscoverySystem {
ProviderCapabilityDiscoverySystem::new(DiscoveryConfig::default())
}
pub fn create_high_performance_discovery_config() -> DiscoveryConfig {
DiscoveryConfig {
enable_auto_discovery: true,
discovery_interval: 1800, enable_caching: true,
cache_expiration: Duration::from_secs(43200), enable_monitoring: true,
enable_analytics: true,
discovery_strategies: vec![
DiscoveryStrategy::APIDiscovery,
DiscoveryStrategy::RegistryDiscovery,
DiscoveryStrategy::NetworkDiscovery,
DiscoveryStrategy::MLEnhancedDiscovery,
],
verification_config: VerificationConfig {
enable_verification: true,
verification_timeout: Duration::from_secs(120),
verification_strategies: vec![
VerificationStrategy::EndpointTesting,
VerificationStrategy::CapabilityProbing,
VerificationStrategy::BenchmarkTesting,
VerificationStrategy::HistoricalAnalysis,
],
min_verification_confidence: 0.9,
enable_continuous_verification: true,
verification_frequency: Duration::from_secs(43200),
},
filtering_config: FilteringConfig {
enable_filtering: true,
min_requirements: CapabilityRequirements {
min_qubits: Some(5),
max_error_rate: Some(0.05),
required_gates: ["H", "CNOT", "RZ", "RY", "RX"]
.iter()
.map(|s| s.to_string())
.collect(),
required_connectivity: Some(ConnectivityRequirement::MinimumDegree(2)),
required_features: [
ProviderFeature::QuantumComputing,
ProviderFeature::NoiseModeling,
]
.iter()
.cloned()
.collect(),
performance_requirements: PerformanceRequirements {
max_execution_time: Some(Duration::from_secs(300)),
min_throughput: Some(50.0),
max_queue_time: Some(Duration::from_secs(1800)),
min_availability: Some(0.95),
max_cost_per_shot: Some(0.1),
},
},
excluded_providers: HashSet::new(),
preferred_providers: Vec::new(),
quality_thresholds: QualityThresholds {
min_fidelity: 0.9,
max_error_rate: 0.05,
min_uptime: 0.98,
min_reliability: 0.95,
min_performance: 0.8,
},
geographic_restrictions: None,
},
analytics_config: CapabilityAnalyticsConfig {
enable_trend_analysis: true,
enable_predictive_analytics: true,
enable_comparative_analysis: true,
analysis_depth: AnalysisDepth::Comprehensive,
retention_period: Duration::from_secs(90 * 86400), confidence_level: 0.99,
},
monitoring_config: CapabilityMonitoringConfig {
enable_realtime_monitoring: true,
monitoring_frequency: Duration::from_secs(60), health_check_interval: Duration::from_secs(300), alert_thresholds: [
("availability".to_string(), 0.95),
("error_rate".to_string(), 0.05),
("response_time".to_string(), 5000.0),
]
.iter()
.cloned()
.collect(),
enable_anomaly_detection: true,
anomaly_sensitivity: 0.9,
},
comparison_config: ComparisonConfig {
enable_auto_comparison: true,
comparison_criteria: vec![
ComparisonCriterion::Performance,
ComparisonCriterion::Cost,
ComparisonCriterion::Reliability,
ComparisonCriterion::Availability,
ComparisonCriterion::Features,
ComparisonCriterion::Security,
],
ranking_algorithms: vec![
RankingAlgorithm::WeightedSum,
RankingAlgorithm::TOPSIS,
RankingAlgorithm::MachineLearning,
],
criterion_weights: [
("performance".to_string(), 0.3),
("cost".to_string(), 0.2),
("reliability".to_string(), 0.2),
("availability".to_string(), 0.15),
("features".to_string(), 0.1),
("security".to_string(), 0.05),
]
.iter()
.cloned()
.collect(),
enable_multidimensional_analysis: true,
},
}
}