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solana-streamer/src/streaming/yellowstone_grpc.rs
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use std::{collections::HashMap, fmt, time::Duration};
use chrono::Local;
use futures::{channel::mpsc, sink::Sink, SinkExt, Stream, StreamExt};
use log::{error, info};
use yellowstone_grpc_proto::prost_types::Timestamp;
use rustls::crypto::{ring::default_provider, CryptoProvider};
use solana_sdk::{pubkey::Pubkey, signature::Signature};
use solana_transaction_status::{EncodedTransactionWithStatusMeta, UiTransactionEncoding};
use tonic::{transport::channel::ClientTlsConfig, Status};
use yellowstone_grpc_client::{GeyserGrpcClient, Interceptor};
use yellowstone_grpc_proto::geyser::{
subscribe_update::UpdateOneof, CommitmentLevel, SubscribeRequest,
SubscribeRequestFilterTransactions, SubscribeRequestPing, SubscribeUpdate,
SubscribeUpdateTransaction,
};
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use std::sync::Arc;
use tokio::sync::Mutex;
use crate::common::AnyResult;
use crate::streaming::event_parser::{EventParserFactory, Protocol, UnifiedEvent};
type TransactionsFilterMap = HashMap<String, SubscribeRequestFilterTransactions>;
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// 默认配置常量
const DEFAULT_CONNECT_TIMEOUT: u64 = 10;
const DEFAULT_REQUEST_TIMEOUT: u64 = 60;
const DEFAULT_CHANNEL_SIZE: usize = 1000;
const DEFAULT_MAX_DECODING_MESSAGE_SIZE: usize = 1024 * 1024 * 10;
const DEFAULT_BATCH_SIZE: usize = 100;
const DEFAULT_BATCH_TIMEOUT_MS: u64 = 5;
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// 背压处理策略
#[derive(Debug, Clone, Copy)]
pub enum BackpressureStrategy {
/// 阻塞等待(默认)
Block,
/// 丢弃消息
Drop,
/// 重试有限次数后丢弃
Retry { max_attempts: usize, wait_ms: u64 },
/// 有序处理(确保按 slot 顺序处理)
Ordered { max_pending_slots: usize },
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}
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impl Default for BackpressureStrategy {
fn default() -> Self {
Self::Block
}
}
/// 批处理配置
#[derive(Debug, Clone)]
pub struct BatchConfig {
/// 批处理大小(默认:100
pub batch_size: usize,
/// 批处理超时时间(毫秒,默认:10ms)
pub batch_timeout_ms: u64,
/// 是否启用批处理(默认:true)
pub enabled: bool,
}
impl Default for BatchConfig {
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fn default() -> Self {
Self {
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batch_size: DEFAULT_BATCH_SIZE,
batch_timeout_ms: DEFAULT_BATCH_TIMEOUT_MS,
enabled: true,
}
}
}
/// 背压配置
#[derive(Debug, Clone)]
pub struct BackpressureConfig {
/// 通道大小(默认:10000
pub channel_size: usize,
/// 背压处理策略(默认:Block)
pub strategy: BackpressureStrategy,
}
impl Default for BackpressureConfig {
fn default() -> Self {
Self {
channel_size: DEFAULT_CHANNEL_SIZE,
strategy: BackpressureStrategy::default(),
}
}
}
/// 连接配置
#[derive(Debug, Clone)]
pub struct ConnectionConfig {
/// 连接超时时间(秒,默认:10)
pub connect_timeout: u64,
/// 请求超时时间(秒,默认:60)
pub request_timeout: u64,
/// 最大解码消息大小(字节,默认:10MB)
pub max_decoding_message_size: usize,
}
impl Default for ConnectionConfig {
fn default() -> Self {
Self {
connect_timeout: DEFAULT_CONNECT_TIMEOUT,
request_timeout: DEFAULT_REQUEST_TIMEOUT,
max_decoding_message_size: DEFAULT_MAX_DECODING_MESSAGE_SIZE,
}
}
}
/// 完整的客户端配置
#[derive(Debug, Clone)]
pub struct ClientConfig {
/// 连接配置
pub connection: ConnectionConfig,
/// 批处理配置
pub batch: BatchConfig,
/// 背压配置
pub backpressure: BackpressureConfig,
/// 是否启用性能监控(默认:false)
pub enable_metrics: bool,
}
impl Default for ClientConfig {
fn default() -> Self {
Self {
connection: ConnectionConfig::default(),
batch: BatchConfig::default(),
backpressure: BackpressureConfig::default(),
enable_metrics: false,
}
}
}
impl ClientConfig {
/// 创建高性能配置(适合高并发场景)
pub fn high_performance() -> Self {
Self {
connection: ConnectionConfig::default(),
batch: BatchConfig {
batch_size: 200,
batch_timeout_ms: 5,
enabled: true,
},
backpressure: BackpressureConfig {
channel_size: 20000,
strategy: BackpressureStrategy::Drop,
},
enable_metrics: true,
}
}
/// 创建低延迟配置(适合实时场景)
pub fn low_latency() -> Self {
Self {
connection: ConnectionConfig::default(),
batch: BatchConfig {
batch_size: 10,
batch_timeout_ms: 1,
enabled: false,
},
backpressure: BackpressureConfig {
channel_size: 1000,
strategy: BackpressureStrategy::Block,
},
enable_metrics: false,
}
}
/// 创建有序处理配置(确保事件按顺序处理)
pub fn ordered_processing(max_pending_slots: usize) -> Self {
Self {
connection: ConnectionConfig::default(),
batch: BatchConfig {
batch_size: 50,
batch_timeout_ms: 5,
enabled: true,
},
backpressure: BackpressureConfig {
channel_size: 15000,
strategy: BackpressureStrategy::Ordered { max_pending_slots },
},
enable_metrics: true,
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}
}
}
/// 性能监控指标
#[derive(Debug, Clone)]
pub struct PerformanceMetrics {
pub events_processed: u64,
pub events_per_second: f64,
pub average_processing_time_ms: f64,
pub min_processing_time_ms: f64,
pub max_processing_time_ms: f64,
pub cache_hit_rate: f64,
pub memory_usage_mb: f64,
pub last_update_time: std::time::Instant,
pub events_in_window: u64,
pub window_start_time: std::time::Instant,
}
impl Default for PerformanceMetrics {
fn default() -> Self {
Self::new()
}
}
impl PerformanceMetrics {
pub fn new() -> Self {
let now = std::time::Instant::now();
Self {
events_processed: 0,
events_per_second: 0.0,
average_processing_time_ms: 0.0,
min_processing_time_ms: f64::MAX,
max_processing_time_ms: 0.0,
cache_hit_rate: 0.0,
memory_usage_mb: 0.0,
last_update_time: now,
events_in_window: 0,
window_start_time: now,
}
}
}
/// gRPC连接池 - 简化版本
pub struct GrpcConnectionPool {
endpoint: String,
x_token: Option<String>,
}
impl GrpcConnectionPool {
pub fn new(endpoint: String, x_token: Option<String>) -> Self {
Self {
endpoint,
x_token,
}
}
pub async fn create_connection(&self) -> AnyResult<GeyserGrpcClient<impl Interceptor>> {
let builder = GeyserGrpcClient::build_from_shared(self.endpoint.clone())?
.x_token(self.x_token.clone())?
.tls_config(ClientTlsConfig::new().with_native_roots())?
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.max_decoding_message_size(DEFAULT_MAX_DECODING_MESSAGE_SIZE)
.connect_timeout(Duration::from_secs(DEFAULT_CONNECT_TIMEOUT))
.timeout(Duration::from_secs(DEFAULT_REQUEST_TIMEOUT));
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Ok(builder.connect().await?)
}
}
/// 批处理事件收集器
pub struct EventBatchCollector<F>
where
F: Fn(Vec<Box<dyn UnifiedEvent>>) + Send + Sync + 'static,
{
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pub(crate) callback: F,
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batch: Vec<Box<dyn UnifiedEvent>>,
batch_size: usize,
timeout_ms: u64,
last_flush_time: std::time::Instant,
}
impl<F> EventBatchCollector<F>
where
F: Fn(Vec<Box<dyn UnifiedEvent>>) + Send + Sync + 'static,
{
pub fn new(callback: F, batch_size: usize, timeout_ms: u64) -> Self {
Self {
callback,
batch: Vec::with_capacity(batch_size),
batch_size,
timeout_ms,
last_flush_time: std::time::Instant::now(),
}
}
pub fn add_event(&mut self, event: Box<dyn UnifiedEvent>) {
log::debug!("Adding event to batch: {} (type: {:?})", event.id(), event.event_type());
self.batch.push(event);
// 检查是否需要刷新批次
if self.batch.len() >= self.batch_size || self.should_flush_by_timeout() {
log::info!("Flushing batch: size={}, timeout={}", self.batch.len(), self.should_flush_by_timeout());
self.flush();
}
}
pub fn flush(&mut self) {
if !self.batch.is_empty() {
let events = std::mem::replace(&mut self.batch, Vec::with_capacity(self.batch_size));
log::info!("Flushing {} events from batch processor", events.len());
// 添加更详细的调试信息
for (i, event) in events.iter().enumerate() {
log::info!("Event {}: Type={:?}, ID={}", i, event.event_type(), event.id());
}
// 执行回调并捕获可能的错误
log::info!("About to execute batch callback with {} events", events.len());
match std::panic::catch_unwind(std::panic::AssertUnwindSafe(|| {
(self.callback)(events);
})) {
Ok(_) => {
log::info!("Batch callback executed successfully");
}
Err(e) => {
log::error!("Batch callback panicked: {:?}", e);
}
}
self.last_flush_time = std::time::Instant::now();
} else {
log::debug!("No events to flush");
}
}
fn should_flush_by_timeout(&self) -> bool {
self.last_flush_time.elapsed().as_millis() >= self.timeout_ms as u128
}
}
#[derive(Clone)]
pub struct TransactionPretty {
pub slot: u64,
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pub block_time: Option<Timestamp>,
pub signature: Signature,
pub is_vote: bool,
pub tx: EncodedTransactionWithStatusMeta,
}
impl fmt::Debug for TransactionPretty {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
struct TxWrap<'a>(&'a EncodedTransactionWithStatusMeta);
impl<'a> fmt::Debug for TxWrap<'a> {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
let serialized = serde_json::to_string(self.0).expect("failed to serialize");
fmt::Display::fmt(&serialized, f)
}
}
f.debug_struct("TransactionPretty")
.field("slot", &self.slot)
.field("signature", &self.signature)
.field("is_vote", &self.is_vote)
.field("tx", &TxWrap(&self.tx))
.finish()
}
}
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impl From<(SubscribeUpdateTransaction, Option<Timestamp>)> for TransactionPretty {
fn from(
(SubscribeUpdateTransaction { transaction, slot }, block_time): (
SubscribeUpdateTransaction,
Option<Timestamp>,
),
) -> Self {
let tx = transaction.expect("should be defined");
Self {
slot,
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block_time,
signature: Signature::try_from(tx.signature.as_slice()).expect("valid signature"),
is_vote: tx.is_vote,
tx: yellowstone_grpc_proto::convert_from::create_tx_with_meta(tx)
.expect("valid tx with meta")
.encode(UiTransactionEncoding::Base64, Some(u8::MAX), true)
.expect("failed to encode"),
}
}
}
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#[derive(Clone)]
pub struct YellowstoneGrpc {
endpoint: String,
x_token: Option<String>,
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config: ClientConfig,
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metrics: Arc<Mutex<PerformanceMetrics>>,
}
impl YellowstoneGrpc {
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/// 创建客户端,使用默认配置
pub fn new(endpoint: String, x_token: Option<String>) -> AnyResult<Self> {
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Self::new_with_config(endpoint, x_token, ClientConfig::default())
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}
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/// 创建客户端,使用自定义配置
pub fn new_with_config(endpoint: String, x_token: Option<String>, config: ClientConfig) -> AnyResult<Self> {
if CryptoProvider::get_default().is_none() {
default_provider()
.install_default()
.map_err(|e| anyhow::anyhow!("Failed to install crypto provider: {:?}", e))?;
}
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Ok(Self {
endpoint,
x_token,
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config,
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metrics: Arc::new(Mutex::new(PerformanceMetrics::new())),
})
}
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/// 创建高性能客户端(适合高并发场景)
pub fn new_high_performance(endpoint: String, x_token: Option<String>) -> AnyResult<Self> {
Self::new_with_config(endpoint, x_token, ClientConfig::high_performance())
}
/// 创建低延迟客户端(适合实时场景)
pub fn new_low_latency(endpoint: String, x_token: Option<String>) -> AnyResult<Self> {
Self::new_with_config(endpoint, x_token, ClientConfig::low_latency())
}
/// 创建有序处理客户端(确保事件按顺序处理)
pub fn new_ordered_processing(endpoint: String, x_token: Option<String>, max_pending_slots: usize) -> AnyResult<Self> {
Self::new_with_config(endpoint, x_token, ClientConfig::ordered_processing(max_pending_slots))
}
/// 创建简化的即时处理客户端(推荐用于简单场景)
pub fn new_immediate(endpoint: String, x_token: Option<String>) -> AnyResult<Self> {
let mut config = ClientConfig::low_latency();
config.enable_metrics = false; // 即时模式默认关闭性能监控
Self::new_with_config(endpoint, x_token, config)
}
/// 获取当前配置
pub fn get_config(&self) -> &ClientConfig {
&self.config
}
/// 更新配置
pub fn update_config(&mut self, config: ClientConfig) {
self.config = config;
}
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/// 获取性能指标
pub async fn get_metrics(&self) -> PerformanceMetrics {
let metrics = self.metrics.lock().await;
metrics.clone()
}
/// 启用或禁用性能监控
pub fn set_enable_metrics(&mut self, enabled: bool) {
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self.config.enable_metrics = enabled;
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}
/// 打印性能指标
pub async fn print_metrics(&self) {
let metrics = self.get_metrics().await;
println!("📊 Performance Metrics:");
println!(" Events Processed: {}", metrics.events_processed);
println!(" Events/Second: {:.2}", metrics.events_per_second);
println!(" Avg Processing Time: {:.2}ms", metrics.average_processing_time_ms);
println!(" Min Processing Time: {:.2}ms", metrics.min_processing_time_ms);
println!(" Max Processing Time: {:.2}ms", metrics.max_processing_time_ms);
println!(" Cache Hit Rate: {:.2}%", metrics.cache_hit_rate * 100.0);
println!(" Memory Usage: {:.2}MB", metrics.memory_usage_mb);
println!("---");
}
/// 启动自动性能监控任务
pub async fn start_auto_metrics_monitoring(&self) {
// 检查是否启用性能监控
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if !self.config.enable_metrics {
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return; // 如果未启用性能监控,不启动监控任务
}
let grpc_clone = self.clone();
tokio::spawn(async move {
let mut interval = tokio::time::interval(tokio::time::Duration::from_secs(10));
loop {
interval.tick().await;
grpc_clone.print_metrics().await;
}
});
}
/// 更新性能指标
async fn update_metrics(&self, events_processed: u64, processing_time_ms: f64) {
// 检查是否启用性能监控
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if !self.config.enable_metrics {
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return; // 如果未启用性能监控,直接返回
}
let mut metrics = self.metrics.lock().await;
let now = std::time::Instant::now();
metrics.events_processed += events_processed;
metrics.events_in_window += events_processed;
metrics.last_update_time = now;
// 更新最快和最慢处理时间
if processing_time_ms < metrics.min_processing_time_ms {
metrics.min_processing_time_ms = processing_time_ms;
}
if processing_time_ms > metrics.max_processing_time_ms {
metrics.max_processing_time_ms = processing_time_ms;
}
// 计算平均处理时间
if metrics.events_processed > 0 {
metrics.average_processing_time_ms =
(metrics.average_processing_time_ms * (metrics.events_processed - events_processed) as f64 + processing_time_ms)
/ metrics.events_processed as f64;
}
// 基于时间窗口计算每秒处理事件数(5秒窗口)
let window_duration = std::time::Duration::from_secs(5);
if now.duration_since(metrics.window_start_time) >= window_duration {
let window_seconds = now.duration_since(metrics.window_start_time).as_secs_f64();
if window_seconds > 0.0 && metrics.events_in_window > 0 {
metrics.events_per_second = metrics.events_in_window as f64 / window_seconds;
} else {
// 如果窗口内没有事件,保持之前的速率或设为0
metrics.events_per_second = 0.0;
}
// 重置窗口
metrics.events_in_window = 0;
metrics.window_start_time = now;
} else {
// 如果窗口还没满,不更新 events_per_second,保持之前的计算值
// 这样可以避免因为单次批处理时间波动导致的指标跳跃
}
// 估算内存使用(基于处理的事件数量)
metrics.memory_usage_mb = metrics.events_processed as f64 * 0.001; // 每个事件约1KB
}
pub async fn connect(&self) -> AnyResult<GeyserGrpcClient<impl Interceptor>> {
let builder = GeyserGrpcClient::build_from_shared(self.endpoint.clone())?
.x_token(self.x_token.clone())?
.tls_config(ClientTlsConfig::new().with_native_roots())?
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.max_decoding_message_size(self.config.connection.max_decoding_message_size)
.connect_timeout(Duration::from_secs(self.config.connection.connect_timeout))
.timeout(Duration::from_secs(self.config.connection.request_timeout));
Ok(builder.connect().await?)
}
pub async fn subscribe_with_request(
&self,
transactions: TransactionsFilterMap,
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commitment: Option<CommitmentLevel>,
) -> AnyResult<(
impl Sink<SubscribeRequest, Error = mpsc::SendError>,
impl Stream<Item = Result<SubscribeUpdate, Status>>,
)> {
let subscribe_request = SubscribeRequest {
transactions,
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commitment: if let Some(commitment) = commitment {
Some(commitment as i32)
} else {
Some(CommitmentLevel::Processed.into())
},
..Default::default()
};
let mut client = self.connect().await?;
let (sink, stream) = client
.subscribe_with_request(Some(subscribe_request))
.await?;
Ok((sink, stream))
}
pub fn get_subscribe_request_filter(
&self,
account_include: Vec<String>,
account_exclude: Vec<String>,
account_required: Vec<String>,
) -> TransactionsFilterMap {
let mut transactions = HashMap::new();
transactions.insert(
"client".to_string(),
SubscribeRequestFilterTransactions {
vote: Some(false),
failed: Some(false),
signature: None,
account_include,
account_exclude,
account_required,
},
);
transactions
}
pub async fn handle_stream_message(
msg: SubscribeUpdate,
tx: &mut mpsc::Sender<TransactionPretty>,
subscribe_tx: &mut (impl Sink<SubscribeRequest, Error = mpsc::SendError> + Unpin),
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backpressure_strategy: BackpressureStrategy,
) -> AnyResult<()> {
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let created_at = msg.created_at;
match msg.update_oneof {
Some(UpdateOneof::Transaction(sut)) => {
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let transaction_pretty = TransactionPretty::from((sut, created_at));
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log::info!("Received transaction: {} at slot {}", transaction_pretty.signature, transaction_pretty.slot);
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// 根据背压策略处理发送
match backpressure_strategy {
BackpressureStrategy::Block => {
// 阻塞等待,直到有空间
if let Err(e) = tx.send(transaction_pretty).await {
log::error!("Failed to send transaction to channel: {:?}", e);
return Err(anyhow::anyhow!("Channel send failed: {:?}", e));
}
}
BackpressureStrategy::Drop => {
// 尝试发送,如果失败则丢弃
if let Err(e) = tx.try_send(transaction_pretty) {
if e.is_full() {
log::warn!("Channel is full, dropping transaction");
} else {
log::error!("Channel is closed: {:?}", e);
return Err(anyhow::anyhow!("Channel is closed: {:?}", e));
}
}
}
BackpressureStrategy::Retry { max_attempts, wait_ms } => {
// 重试有限次数
let mut retry_count = 0;
loop {
match tx.try_send(transaction_pretty.clone()) {
Ok(_) => break,
Err(e) => {
if e.is_full() {
retry_count += 1;
if retry_count >= max_attempts {
log::warn!("Channel is full after {} attempts, dropping transaction", retry_count);
break;
}
tokio::time::sleep(tokio::time::Duration::from_millis(wait_ms)).await;
} else {
log::error!("Channel is closed: {:?}", e);
return Err(anyhow::anyhow!("Channel is closed: {:?}", e));
}
}
}
}
}
BackpressureStrategy::Ordered { max_pending_slots: _ } => {
// 有序处理策略 - 这里暂时使用阻塞策略,实际的有序处理在接收端实现
if let Err(e) = tx.send(transaction_pretty).await {
log::error!("Failed to send transaction to channel: {:?}", e);
return Err(anyhow::anyhow!("Channel send failed: {:?}", e));
}
}
}
}
Some(UpdateOneof::Ping(_)) => {
subscribe_tx
.send(SubscribeRequest {
ping: Some(SubscribeRequestPing { id: 1 }),
..Default::default()
})
.await?;
info!("service is ping: {}", Local::now());
}
Some(UpdateOneof::Pong(_)) => {
info!("service is pong: {}", Local::now());
}
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_ => {
log::debug!("Received other message type");
}
}
Ok(())
}
/// Subscribe to Yellowstone GRPC service events with advanced filtering options
///
/// This method allows subscribing to specific protocol events with more granular account filtering.
/// It processes transactions in real-time and calls the provided callback function when matching events are found.
///
/// # Parameters
///
/// * `protocols` - List of protocols to parse (e.g., PumpFun, PumpSwap, Bonk, RaydiumCpmm)
/// * `bot_wallet` - Optional bot wallet address. If passed: in PumpFunTradeEvent if user is in the address, is_bot=true will be set. In BonkTradeEvent if payer is in the address, is_bot=true will be set. Default is false.
/// * `account_include` - List of account addresses to include in the subscription
/// * `account_exclude` - List of account addresses to exclude from the subscription
/// * `account_required` - List of account addresses that must be present in transactions
/// * `commitment` - Optional commitment level for the subscription
/// * `callback` - Function to call when matching events are found
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#[allow(clippy::too_many_arguments)]
pub async fn subscribe_events_v2<F>(
&self,
protocols: Vec<Protocol>,
bot_wallet: Option<Pubkey>,
account_include: Vec<String>,
account_exclude: Vec<String>,
account_required: Vec<String>,
commitment: Option<CommitmentLevel>,
callback: F,
) -> AnyResult<()>
where
F: Fn(Box<dyn UnifiedEvent>) + Send + Sync + 'static,
{
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// 启动自动性能监控(如果启用)
if self.config.enable_metrics {
self.start_auto_metrics_monitoring().await;
}
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// 默认使用即时处理模式
self.subscribe_events_immediate(
protocols,
bot_wallet,
account_include,
account_exclude,
account_required,
commitment,
callback,
)
.await
}
/// 简化的即时事件订阅(推荐用于简单场景)
pub async fn subscribe_events_immediate<F>(
&self,
protocols: Vec<Protocol>,
bot_wallet: Option<Pubkey>,
account_include: Vec<String>,
account_exclude: Vec<String>,
account_required: Vec<String>,
commitment: Option<CommitmentLevel>,
callback: F,
) -> AnyResult<()>
where
F: Fn(Box<dyn UnifiedEvent>) + Send + Sync + 'static,
{
// 启动自动性能监控(如果启用)
if self.config.enable_metrics {
self.start_auto_metrics_monitoring().await;
}
if account_include.is_empty() && account_exclude.is_empty() && account_required.is_empty() {
return Err(anyhow::anyhow!(
"account_include or account_exclude or account_required cannot be empty"
));
}
let transactions =
self.get_subscribe_request_filter(account_include, account_exclude, account_required);
// 订阅事件
let (mut subscribe_tx, mut stream) = self
.subscribe_with_request(transactions, commitment)
.await?;
// 创建通道,使用配置中的通道大小
let (mut tx, mut rx) = mpsc::channel::<TransactionPretty>(self.config.backpressure.channel_size);
// 启动流处理任务
let backpressure_strategy = self.config.backpressure.strategy;
tokio::spawn(async move {
while let Some(message) = stream.next().await {
match message {
Ok(msg) => {
if let Err(e) =
Self::handle_stream_message(msg, &mut tx, &mut subscribe_tx, backpressure_strategy).await
{
error!("Error handling message: {e:?}");
break;
}
}
Err(error) => {
error!("Stream error: {error:?}");
break;
}
}
}
});
// 即时处理交易,无批处理
let self_clone = self.clone();
tokio::spawn(async move {
while let Some(transaction_pretty) = rx.next().await {
if let Err(e) = self_clone.process_event_transaction_with_metrics(
transaction_pretty,
&callback,
bot_wallet,
protocols.clone(),
)
.await
{
error!("Error processing transaction: {e:?}");
}
}
});
tokio::signal::ctrl_c().await?;
Ok(())
}
/// 高级模式订阅(包含批处理和背压处理)
pub async fn subscribe_events_advanced<F>(
&self,
protocols: Vec<Protocol>,
bot_wallet: Option<Pubkey>,
account_include: Vec<String>,
account_exclude: Vec<String>,
account_required: Vec<String>,
commitment: Option<CommitmentLevel>,
callback: F,
) -> AnyResult<()>
where
F: Fn(Box<dyn UnifiedEvent>) + Send + Sync + 'static,
{
// 启动自动性能监控(如果启用)
if self.config.enable_metrics {
self.start_auto_metrics_monitoring().await;
}
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if account_include.is_empty() && account_exclude.is_empty() && account_required.is_empty() {
return Err(anyhow::anyhow!(
"account_include or account_exclude or account_required cannot be empty"
));
}
let transactions =
self.get_subscribe_request_filter(account_include, account_exclude, account_required);
// Subscribe to events
let (mut subscribe_tx, mut stream) = self
.subscribe_with_request(transactions, commitment)
.await?;
// Create channel
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let (mut tx, mut rx) = mpsc::channel::<TransactionPretty>(self.config.backpressure.channel_size);
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// 创建批处理器,将单个事件回调转换为批量回调
let batch_callback = move |events: Vec<Box<dyn UnifiedEvent>>| {
for event in events {
callback(event);
}
};
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let mut batch_processor = EventBatchCollector::new(
batch_callback,
self.config.batch.batch_size,
self.config.batch.batch_timeout_ms
);
// Start task to process the stream
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let backpressure_strategy = self.config.backpressure.strategy;
tokio::spawn(async move {
while let Some(message) = stream.next().await {
match message {
Ok(msg) => {
if let Err(e) =
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Self::handle_stream_message(msg, &mut tx, &mut subscribe_tx, backpressure_strategy).await
{
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error!("Error handling message: {e:?}");
break;
}
}
Err(error) => {
error!("Stream error: {error:?}");
break;
}
}
}
});
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// Process transactions with batch processing
let self_clone = self.clone();
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// 根据背压策略选择处理方式
match self.config.backpressure.strategy {
BackpressureStrategy::Ordered { max_pending_slots: _ } => {
// 使用有序处理 - 暂时使用普通的批处理方式
tokio::spawn(async move {
while let Some(transaction_pretty) = rx.next().await {
if let Err(e) = self_clone.process_event_transaction_with_batch(
transaction_pretty,
&mut batch_processor,
bot_wallet,
protocols.clone(),
)
.await
{
error!("Error processing transaction: {e:?}");
}
}
// 处理剩余的事件
batch_processor.flush();
});
}
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_ => {
// 使用原有的批处理方式
tokio::spawn(async move {
while let Some(transaction_pretty) = rx.next().await {
if let Err(e) = self_clone.process_event_transaction_with_batch(
transaction_pretty,
&mut batch_processor,
bot_wallet,
protocols.clone(),
)
.await
{
error!("Error processing transaction: {e:?}");
}
}
// 处理剩余的事件
batch_processor.flush();
});
}
}
tokio::signal::ctrl_c().await?;
Ok(())
}
/// 订阅事件
#[deprecated(
since = "0.1.5",
note = "This method will be removed, please use the new API: subscribe_events_v2"
)]
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#[allow(clippy::too_many_arguments)]
pub async fn subscribe_events<F>(
&self,
protocols: Vec<Protocol>,
bot_wallet: Option<Pubkey>,
account_include: Option<Vec<String>>,
account_exclude: Option<Vec<String>>,
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account_required: Option<Vec<String>>,
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commitment: Option<CommitmentLevel>,
callback: F,
) -> AnyResult<()>
where
F: Fn(Box<dyn UnifiedEvent>) + Send + Sync + 'static,
{
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// 启动自动性能监控(如果启用)
if self.config.enable_metrics {
self.start_auto_metrics_monitoring().await;
}
// 创建过滤器
let protocol_accounts = protocols
.iter()
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.flat_map(|p| p.get_program_id())
.map(|p| p.to_string())
.collect::<Vec<String>>();
let mut account_include = account_include.unwrap_or_default();
let account_exclude = account_exclude.unwrap_or_default();
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let account_required = account_required.unwrap_or_default();
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account_include.extend(protocol_accounts.clone());
let transactions =
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self.get_subscribe_request_filter(account_include, account_exclude, account_required);
// 订阅事件
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let (mut subscribe_tx, mut stream) = self
.subscribe_with_request(transactions, commitment)
.await?;
// 创建通道
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let (mut tx, mut rx) = mpsc::channel::<TransactionPretty>(self.config.backpressure.channel_size);
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// 创建回调函数,使用 Arc 包装以便在多个任务中共享
let callback = std::sync::Arc::new(Box::new(callback));
// 启动处理流的任务
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let backpressure_strategy = self.config.backpressure.strategy;
tokio::spawn(async move {
while let Some(message) = stream.next().await {
match message {
Ok(msg) => {
if let Err(e) =
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Self::handle_stream_message(msg, &mut tx, &mut subscribe_tx, backpressure_strategy).await
{
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error!("Error handling message: {e:?}");
break;
}
}
Err(error) => {
error!("Stream error: {error:?}");
break;
}
}
}
});
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// 处理交易
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let self_clone = self.clone();
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tokio::spawn(async move {
while let Some(transaction_pretty) = rx.next().await {
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if let Err(e) = self_clone.process_event_transaction_with_metrics(
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transaction_pretty,
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&**callback,
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bot_wallet,
protocols.clone(),
)
.await
{
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error!("Error processing transaction: {e:?}");
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}
}
});
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tokio::signal::ctrl_c().await?;
Ok(())
}
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async fn process_event_transaction_with_metrics<F>(
&self,
transaction_pretty: TransactionPretty,
callback: &F,
bot_wallet: Option<Pubkey>,
protocols: Vec<Protocol>,
) -> AnyResult<()>
where
F: Fn(Box<dyn UnifiedEvent>) + Send + Sync,
{
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let start_time = std::time::Instant::now();
let program_received_time_ms = chrono::Utc::now().timestamp_millis();
let slot = transaction_pretty.slot;
let signature = transaction_pretty.signature.to_string();
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// 预分配向量容量,避免动态扩容
let mut futures = Vec::with_capacity(protocols.len());
for protocol in protocols {
let parser = EventParserFactory::create_parser(protocol);
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// 在异步任务中需要克隆值
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let tx_clone = transaction_pretty.tx.clone();
let signature_clone = signature.clone();
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let bot_wallet_clone = bot_wallet;
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futures.push(tokio::spawn(async move {
parser
.parse_transaction(
tx_clone,
&signature_clone,
Some(slot),
transaction_pretty.block_time.map(|ts| prost_types::Timestamp {
seconds: ts.seconds,
nanos: ts.nanos,
}),
program_received_time_ms,
bot_wallet_clone,
)
.await
.unwrap_or_else(|_e| vec![])
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}));
}
let results = futures::future::join_all(futures).await;
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// 收集所有事件
let mut all_events = Vec::new();
for events in results.into_iter().flatten() {
all_events.extend(events);
}
// 保存事件数量用于日志记录
let event_count = all_events.len();
// 批量处理事件
if !all_events.is_empty() {
for event in all_events {
callback(event);
}
}
// 更新性能指标
let processing_time = start_time.elapsed();
let processing_time_ms = processing_time.as_millis() as f64;
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// 更新性能指标(如果启用)
if self.config.enable_metrics {
self.update_metrics(event_count as u64, processing_time_ms).await;
}
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// 记录慢处理操作
if processing_time_ms > 10.0 {
log::warn!("Slow event processing: {processing_time_ms}ms for {event_count} events");
}
Ok(())
}
async fn process_event_transaction_with_batch<F>(
&self,
transaction_pretty: TransactionPretty,
batch_processor: &mut EventBatchCollector<F>,
bot_wallet: Option<Pubkey>,
protocols: Vec<Protocol>,
) -> AnyResult<()>
where
F: Fn(Vec<Box<dyn UnifiedEvent>>) + Send + Sync + 'static,
{
let start_time = std::time::Instant::now();
let program_received_time_ms = chrono::Utc::now().timestamp_millis();
let slot = transaction_pretty.slot;
let signature = transaction_pretty.signature.to_string();
// 预分配向量容量,避免动态扩容
let mut futures: Vec<tokio::task::JoinHandle<Result<Vec<Box<dyn UnifiedEvent>>, anyhow::Error>>> = Vec::with_capacity(protocols.len());
for protocol in protocols {
let parser = EventParserFactory::create_parser(protocol.clone());
// 在异步任务中需要克隆值
let tx_clone = transaction_pretty.tx.clone();
let signature_clone = signature.clone();
let bot_wallet_clone = bot_wallet;
let protocol_clone = protocol.clone();
futures.push(tokio::spawn(async move {
let result = parser
.parse_transaction(
tx_clone,
&signature_clone,
Some(slot),
transaction_pretty.block_time.map(|ts| prost_types::Timestamp {
seconds: ts.seconds,
nanos: ts.nanos,
}),
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program_received_time_ms,
bot_wallet_clone,
)
.await;
match result {
Ok(events) => {
if !events.is_empty() {
log::info!("Parsed {} events for protocol {:?}", events.len(), protocol_clone);
}
Ok(events)
}
Err(e) => {
log::warn!("Failed to parse transaction for protocol {:?}: {:?}", protocol_clone, e);
Ok(vec![])
}
}
}));
}
let results = futures::future::join_all(futures).await;
// 收集所有事件并使用批处理器
let mut total_events = 0;
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for result in results {
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match result {
Ok(parse_result) => {
match parse_result {
Ok(events) => {
total_events += events.len();
log::info!("Adding {} events to batch processor", events.len());
for event in events {
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if self.config.batch.enabled {
batch_processor.add_event(event);
} else {
// 如果批处理被禁用,直接调用回调
// 这里需要将单个事件包装成Vec来调用批处理回调
let single_event_batch = vec![event];
(batch_processor.callback)(single_event_batch);
}
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}
}
Err(e) => {
log::warn!("Failed to parse transaction: {:?}", e);
}
}
}
Err(e) => {
log::warn!("Failed to get events from async task: {:?}", e);
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}
}
}
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// 添加调试信息
if total_events > 0 {
log::info!("Total events parsed: {} for transaction {}", total_events, signature);
}
// 更新性能指标
let processing_time = start_time.elapsed();
let processing_time_ms = processing_time.as_millis() as f64;
// 实际调用性能指标更新
self.update_metrics(total_events as u64, processing_time_ms).await;
// 记录慢处理操作
if processing_time_ms > 10.0 {
log::warn!("Slow event processing: {processing_time_ms}ms for {total_events} events");
}
Ok(())
}
}
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