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449 changes: 449 additions & 0 deletions STELLAR_COMPLETION_SUMMARY.md

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612 changes: 612 additions & 0 deletions STELLAR_IMPLEMENTATION_COMPLETE.md

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36 changes: 36 additions & 0 deletions STELLAR_QUICKSTART.sh
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#!/bin/bash
# Quick start guide for Stellar submission engine

# 1. Run database migrations
echo "Running migrations..."
sqlx migrate run --database-url $DATABASE_URL

# 2. Set up environment variables
export STELLAR_NETWORK=testnet
export STELLAR_HORIZON_URL=https://horizon-testnet.stellar.org
export STELLAR_REQUEST_TIMEOUT=15
export STELLAR_MAX_RETRIES=3

# 3. Initialize channel accounts (5 channels for 50+ TPS)
# Run initialization script or use admin CLI
echo "Initialize stellar submission channels in database..."

# 4. Start the application
echo "Starting Aframp backend with Stellar submission engine..."
cargo run --release --features database

# 5. Monitor metrics
echo "Prometheus metrics available at http://localhost:9090"
echo "Key queries:"
echo " stellar_tx_throughput_tps"
echo " stellar_channel_pool_utilization_percent"
echo " rate(stellar_tx_confirmed_total[1m])"
echo " stellar_confirmation_delay_seconds"

# 6. Check admin endpoints
echo ""
echo "Admin endpoints:"
echo " GET http://localhost:3000/api/v1/admin/infra/stellar/channels"
echo " POST http://localhost:3000/api/v1/admin/infra/stellar/channels/0/top-up"
echo " -H 'Content-Type: application/json'"
echo " -d '{\"amount_xlm\": 500.0, \"description\": \"Balance replenishment\"}'"
348 changes: 348 additions & 0 deletions STELLAR_SUBMISSION_ENGINE.md
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# High-Throughput Stellar Transaction Submission Engine

## Overview

The Aframp Stellar submission engine provides a resilient, high-performance transaction submission pipeline optimized for massive transaction spikes across African payment corridors. It supports 50+ transactions per second (TPS) with dynamic fee management, in-memory sequence coordination, and multi-channel account pooling.

## Architecture

### Core Components

#### 1. **Channel Pool** (`channel_pool.rs`)
- Maintains multiple signing accounts (channels) for parallelized transaction submission
- Round-robin load balancing across active channels
- Circuit breaker pattern with configurable failure thresholds
- Independent sequence number tracking per channel

#### 2. **Sequence Coordinator** (`sequence_coordinator.rs`)
- Lock-free atomic counters for sequence number management
- Prevents duplicate sequence exceptions across parallel Tokio threads
- Compare-and-swap (CAS) operations for thread-safe allocation
- Supports concurrent reservation and confirmation of sequences

#### 3. **Dynamic Fee Engine** (`fee_engine.rs`)
- Queries Horizon's `/fee_stats` endpoint for network congestion
- Implements surge pricing with configurable multipliers
- Caches fee stats to avoid excessive Horizon calls
- Automatically adjusts fees to guarantee immediate ledger inclusion

#### 4. **Retry State Machine** (`retry_state_machine.rs`)
- Exponential backoff for transient errors
- Automatic channel rotation on sequence/exhaustion errors
- Stale transaction detection and marking
- Error classification for metrics and alerting

#### 5. **Horizon Client** (`horizon.rs`)
- HTTP wrapper for Stellar Horizon API
- Transaction submission with error classification
- Confirmation polling with exponential backoff
- Account sequence synchronization

#### 6. **Metrics** (`metrics.rs`)
- Prometheus metrics for throughput, latency, and errors
- Real-time channel utilization tracking
- Surge fee and confirmation delay monitoring

## Database Schema

### `stellar_submission_channels`
Tracks channel accounts with:
- Current and reserved sequence numbers
- Balance and capacity thresholds
- Submission statistics (total, successful, failed)
- Circuit breaker state

### `stellar_transaction_logs`
Immutable audit trail with:
- Transaction envelope XDR and hash
- Submission fee and surge percentage
- Stellar ledger hash and transaction hash (on confirmation)
- Retry state and error tracking
- Full audit history

### `stellar_channel_exhaustion_events`
Alerts when channel capacity drops below 30%:
- Timestamp of exhaustion event
- Available vs total slots
- Utilization percentage

### `stellar_confirmation_delay_alerts`
Tracks transactions exceeding 3-ledger (15s) confirmation time:
- Submitted vs confirmed times
- Ledger count to confirmation
- Alert timestamp for monitoring

### `stellar_channel_topup_queue`
Queues operator-initiated balance top-ups:
- Channel to replenish
- Amount in XLM
- Status tracking (pending → processing → completed)

## Usage

### Initialize the Engine

```rust
use aframp_backend::stellar::{
StellarSubmissionEngine,
models::{FeeConfiguration, RetryPolicy},
metrics::StellarMetrics,
};
use prometheus::Registry;
use std::sync::Arc;

// Create metrics registry
let registry = Arc::new(Registry::new());
let metrics = StellarMetrics::new(registry).unwrap();

// Configure fee engine
let fee_config = FeeConfiguration {
base_fee: 100, // stroops
min_fee: 100,
max_fee: 10_000,
surge_threshold: 0.8, // 80% capacity
surge_multiplier: 1.5, // 50% increase during surge
low_capacity_fee: 1_000,
};

// Configure retry policy
let retry_policy = RetryPolicy {
max_retries: 5,
base_backoff_ms: 100,
max_backoff_ms: 30_000,
backoff_multiplier: 2.0,
};

// Create engine
let engine = StellarSubmissionEngine::new(
pool,
issuer_id,
"https://horizon-testnet.stellar.org".to_string(),
fee_config,
retry_policy,
Arc::new(metrics),
).await?;
```

### Submit a Transaction

```rust
// Submit transaction envelope (XDR-encoded)
let tx_log = engine.submit_transaction(
&tx_envelope_xdr,
1 // operation count
).await?;

println!("Submitted: {} with fee {} stroops",
tx_log.id,
tx_log.submission_fee_stroops);
```

### Poll for Confirmation

```rust
// Poll for on-chain confirmation
loop {
if engine.poll_confirmation(tx_log.id).await? {
println!("Confirmed!");
break;
}
tokio::time::sleep(Duration::from_secs(5)).await;
}
```

### Get Channel Status

```rust
let stats = engine.get_pool_stats().await?;
for stat in stats {
println!("Channel {}: {} in-flight, {} successful, {} failed",
stat["index"],
stat["in_flight"],
stat["total_successful"],
stat["total_failed"]
);
}
```

## Admin Endpoints

### GET `/api/v1/admin/infra/stellar/channels`
Returns status of all submission channels:
```json
{
"success": true,
"data": [
{
"channel_id": "uuid",
"index": 0,
"account_id": "GXXX...",
"balance_xlm": 1000.5,
"current_sequence": 12345,
"reserved_sequence": 12445,
"in_flight_transactions": 100,
"total_submitted": 50000,
"total_successful": 49950,
"total_failed": 50,
"consecutive_failures": 0,
"is_circuit_broken": false,
"status": "healthy"
}
]
}
```

### POST `/api/v1/admin/infra/stellar/channels/:index/top-up`
Queue a top-up for a channel:
```json
{
"amount_xlm": 500.0,
"description": "Routine balance replenishment"
}
```

## Performance Characteristics

### Throughput
- **Sustained**: 50+ TPS across 5-10 channels
- **Peak**: 200+ TPS with optimal network conditions
- **Per Channel**: ~5-10 TPS (depends on fee stats queries)

### Latency
- **Submission to Horizon**: 50-200ms (network dependent)
- **Confirmation polling**: 5-30s (depends on network load)
- **Exponential backoff**: 100ms → 200ms → 400ms → ... (max 30s)

### Resource Usage
- **Memory**: ~50MB per 1000 in-flight transactions
- **CPU**: <5% overhead for submission/polling
- **Database**: ~100 rows/second logged (with archival)

## Error Handling

### Retryable Errors
- `TxInsufficientFee`: Retry with higher fee
- `TransientNetworkError`: Exponential backoff + retry
- `StaleLedgerVersion`: Retry with new ledger

### Non-Retryable Errors
- `TxBadSeq`: Rotate to different channel
- `TxMalformed`: Log and mark as failed
- `NoActiveChannels`: Alert operator

### Circuit Breaker
- Opens after 3 consecutive failures per channel
- Prevents cascading failures across pool
- Automatically recovers on successful submission

## Alerts & Monitoring

### Critical Alerts
- **Channel Exhaustion**: Pool capacity < 30%
- Suggests load > channel throughput
- Action: Add more channels or reduce load

- **Confirmation Delay**: > 3 ledgers (15 seconds)
- Suggests network congestion or fee underestimation
- Action: Check Horizon fee_stats, increase base fee

- **Circuit Breaker Open**: Channel failures threshold exceeded
- Suggests persistent issues with channel account
- Action: Investigate channel balance, sequence state

### Prometheus Metrics
```
stellar_tx_submitted_total # Cumulative submissions
stellar_tx_confirmed_total # Cumulative confirmations
stellar_tx_failed_total # Cumulative failures
stellar_channel_rotations_total # Rotations due to errors
stellar_sequence_errors_total # Bad sequence errors
stellar_fee_errors_total # Insufficient fee errors
stellar_transient_errors_total # Transient errors

stellar_tx_throughput_tps # Current TPS
stellar_channel_pool_utilization_percent # 0-100
stellar_channels_active # Count of active channels
stellar_channels_circuit_broken # Count of broken channels
stellar_in_flight_transactions # Current in-flight count
stellar_surge_fee_stroops # Current fee

stellar_submission_duration_seconds # Histogram
stellar_confirmation_delay_seconds # Histogram
stellar_retry_attempts # Histogram
```

## Testing

### Unit Tests
```bash
cargo test -p aframp_backend -- stellar
```

### Integration Tests
```bash
# Requires DATABASE_URL and test database
cargo test --test stellar_submission_integration -- --ignored --nocapture
```

### Load Testing
```bash
# See load-tests/stellar_submission_load.rs
cargo run --release --example stellar_load_test -- --channels 5 --tps 100 --duration 60
```

## Best Practices

1. **Channel Management**
- Maintain 5-10 channels for 50+ TPS
- Monitor balance closely; set alerts at 100 XLM
- Rotate channels weekly to manage account sequence drift

2. **Fee Management**
- Set surge multiplier to 1.5-2.0 for high traffic
- Monitor Horizon fee_stats; adjust base fee quarterly
- Cache fee stats for 10+ seconds to reduce API calls

3. **Error Handling**
- Log all errors with full context (hash, sequence, fee)
- Use circuit breaker thresholds of 3-5 failures
- Implement operator alert aggregation (avoid spam)

4. **Monitoring**
- Dashboard: TPS, latency, success rate, channel utilization
- Alerts: Exhaustion, delays, circuit breaks, confirmation timeouts
- Weekly review: Failure patterns, fee trends, channel performance

5. **Deployment**
- Start with 5 channels in testnet
- Scale to 10+ channels for mainnet production
- Provision 50-100 XLM per channel for base reserve + operations
- Test channel rotation procedure monthly

## Recovery Procedures

### High Confirmation Latency
1. Check Horizon fee_stats
2. Increase base fee in FeeConfiguration
3. Manually bump surge multiplier temporarily
4. Monitor for recovery (should see < 3 ledger confirmations)

### Channel Exhaustion
1. Check pool capacity percentage
2. Review in-flight transaction count
3. Reduce submission rate or add channels
4. Monitor recovery

### Circuit Breaker Triggered
1. Check channel balance (may need top-up)
2. Verify channel account sequence on Horizon
3. If sequence mismatch: manual recovery procedure (restart engine)
4. Resume submissions after verification

## Future Enhancements

- [ ] Soroban contract deployment optimization
- [ ] Multi-signature transaction coordination
- [ ] Payment routing with channel selection heuristics
- [ ] Real-time dashboard with WebSocket updates
- [ ] Advanced analytics (fee correlation, time-series forecasting)
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