Payments

Crate: rustkernel-payments Kernels: 2 Feature: payments

Payment processing and flow analysis kernels for payment systems.

Kernel Overview

Kernel Details

PaymentProcessing

Processes and validates payment instructions.

ID: payments/processing Modes: Batch, Ring

Input

pub struct PaymentProcessingInput {
    pub payments: Vec<Payment>,
    pub validation_rules: Vec<ValidationRule>,
    pub processing_window: ProcessingWindow,
}

pub struct Payment {
    pub id: String,
    pub sender: PartyInfo,
    pub receiver: PartyInfo,
    pub amount: f64,
    pub currency: String,
    pub payment_type: PaymentType,
    pub value_date: u64,
    pub reference: String,
    pub remittance_info: Option<String>,
}

pub enum PaymentType {
    Wire,
    ACH,
    SEPA,
    SWIFT,
    RTP,  // Real-Time Payments
    FedNow,
}

Output

pub struct PaymentProcessingOutput {
    pub processed: Vec<ProcessedPayment>,
    pub rejected: Vec<RejectedPayment>,
    pub pending: Vec<String>,
    pub statistics: ProcessingStatistics,
}

pub struct ProcessedPayment {
    pub id: String,
    pub status: PaymentStatus,
    pub processing_time_us: u64,
    pub fees: f64,
}

pub struct RejectedPayment {
    pub id: String,
    pub reason: RejectionReason,
    pub failed_rules: Vec<String>,
}

Example

use rustkernel::payments::processing::{PaymentProcessing, PaymentProcessingInput};

let kernel = PaymentProcessing::new();

let result = kernel.execute(PaymentProcessingInput {
    payments: incoming_payments,
    validation_rules: default_rules(),
    processing_window: ProcessingWindow::Same_Day,
}).await?;

println!("Processed: {}", result.processed.len());
println!("Rejected: {}", result.rejected.len());

for rejection in result.rejected {
    println!("Rejected {}: {:?}", rejection.id, rejection.reason);
}

FlowAnalysis

Analyzes payment flows for patterns, anomalies, and liquidity insights.

ID: payments/flow-analysis Modes: Batch, Ring

Input

pub struct FlowAnalysisInput {
    pub payments: Vec<Payment>,
    pub analysis_type: FlowAnalysisType,
    pub time_window: TimeWindow,
}

pub enum FlowAnalysisType {
    VolumeAnalysis,
    NetworkAnalysis,
    AnomalyDetection,
    LiquidityForecasting,
}

Output

pub struct FlowAnalysisOutput {
    /// Flow statistics by counterparty
    pub counterparty_flows: Vec<CounterpartyFlow>,
    /// Detected anomalies
    pub anomalies: Vec<FlowAnomaly>,
    /// Network metrics
    pub network_metrics: NetworkMetrics,
    /// Liquidity forecast
    pub liquidity_forecast: Option<LiquidityForecast>,
}

pub struct CounterpartyFlow {
    pub counterparty: String,
    pub inflow_volume: f64,
    pub outflow_volume: f64,
    pub net_flow: f64,
    pub transaction_count: u32,
}

Example

use rustkernel::payments::flow::{FlowAnalysis, FlowAnalysisInput};

let kernel = FlowAnalysis::new();

let result = kernel.execute(FlowAnalysisInput {
    payments: daily_payments,
    analysis_type: FlowAnalysisType::NetworkAnalysis,
    time_window: TimeWindow::Days(30),
}).await?;

// Top counterparties by volume
for flow in result.counterparty_flows.iter().take(10) {
    println!("{}: in=${:.0}, out=${:.0}, net=${:.0}",
        flow.counterparty,
        flow.inflow_volume,
        flow.outflow_volume,
        flow.net_flow
    );
}

Ring Mode for Real-Time Processing

use rustkernel::payments::processing::PaymentProcessingRing;

let ring = PaymentProcessingRing::new();

// Process payments as they arrive
for payment in payment_stream {
    let result = ring.process(payment).await?;

    match result.status {
        PaymentStatus::Processed => send_confirmation(result),
        PaymentStatus::Rejected(reason) => notify_sender(reason),
        PaymentStatus::Pending => queue_for_review(result),
    }
}

Use Cases

• Payment hubs: Central payment processing
• Real-time payments: Instant payment validation
• Correspondent banking: SWIFT message processing
• Treasury: Cash position forecasting