Files
blackbird/gateway/inc/LogC.hpp
T
qing 1d44e0dcb8 feat(libmsg): add pymsg C++ library with AsyncQueue, MsgServer, and JSON RPC layer
- Add libmsg module: pymsg protocol implementation (4-byte BE length prefix + UTF-8)
- Add AsyncQueue<T>: generic async batch queue with backpressure (aligned with Python AsyncRpcQueue)
- Add MsgServer: select-based multi-client TCP server with optional thread pool
- Add RpcClient/RpcServer: JSON RPC convention layer with automatic route injection
- Refactor gateway/LogC.hpp to use AsyncQueue for async batch log delivery
- Update gateway/DbC.hpp to add call_msg() using pymsg TCP protocol
- Remove duplicated gateway/inc/Msg.hpp (now provided by libmsg)
- Update gateway/Makefile and _inst.sh build order

Fixes included:
- pmsg_send size check uses kMaxMsgSize (64MiB) instead of 4GiB
- MsgClient._running uses std::atomic<bool> for thread safety
- Deadline-based recv timeout to prevent Slowloris (header+payload shared deadline)
2026-08-06 23:48:06 +08:00

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#pragma once
/** LogC — gateway 统一日志客户端(C++ 版,对应各 Python 服务的 log_client.py)
*
* 设计要点(与 Python 版对齐):
* - 通过 pymsg TCP 调用 dbv2 execute 路由,逐条 INSERT 到 Logs 表
* - 异步非阻塞:基于 pmc::net::AsyncQueue 内存队列 + 后台线程批量推送,不拖慢业务
* - fail-safe:db 服务不可用时静默丢弃(仅 stderr 提示),绝不影响业务
* - 缓冲批量:队列满 50 条或超时 2 秒时自动 flush
* - 背压保护:队列上限 10000 条,满时丢最旧日志,防止内存无限增长
*
* 用法:
* #include "LogC.hpp"
*
* qing::LogC::instance().info("gateway", "启动完成");
* qing::LogC::instance().error("gateway", "数据库连接失败",
* std::nullopt, R"({"errno":2002})");
*
* // 进程退出前:
* qing::LogC::instance().shutdown(); // 停止后台线程并 flush 剩余日志(幂等)
*/
#include <atomic>
#include <chrono>
#include <cstdio>
#include <ctime>
#include <mutex>
#include <optional>
#include <string>
#include <vector>
#include <boost/json.hpp>
#include <us/AsyncQueue.hpp>
#include <us/Msg.hpp>
namespace qing {
namespace json = boost::json;
class LogC {
public:
struct Entry {
std::string service;
std::string level;
std::string message;
std::optional<std::string> trace_id;
std::optional<std::string> extra; // 已序列化的 JSON 字符串(存 Logs.extra TEXT)
};
static LogC& instance() {
static LogC inst;
return inst;
}
// ---- 公开接口 --------------------------------------------------------
// 推送一条日志(非阻塞,立即返回)
void push(const std::string& service, const std::string& level,
const std::string& message,
std::optional<std::string> trace_id = std::nullopt,
std::optional<std::string> extra = std::nullopt) {
_queue.push(Entry{service, level, message,
std::move(trace_id), std::move(extra)});
}
void debug(const std::string& service, const std::string& message,
std::optional<std::string> trace_id = std::nullopt,
std::optional<std::string> extra = std::nullopt) {
push(service, "DEBUG", message, std::move(trace_id), std::move(extra));
}
void info(const std::string& service, const std::string& message,
std::optional<std::string> trace_id = std::nullopt,
std::optional<std::string> extra = std::nullopt) {
push(service, "INFO", message, std::move(trace_id), std::move(extra));
}
void warning(const std::string& service, const std::string& message,
std::optional<std::string> trace_id = std::nullopt,
std::optional<std::string> extra = std::nullopt) {
push(service, "WARNING", message, std::move(trace_id), std::move(extra));
}
void error(const std::string& service, const std::string& message,
std::optional<std::string> trace_id = std::nullopt,
std::optional<std::string> extra = std::nullopt) {
push(service, "ERROR", message, std::move(trace_id), std::move(extra));
}
void critical(const std::string& service, const std::string& message,
std::optional<std::string> trace_id = std::nullopt,
std::optional<std::string> extra = std::nullopt) {
push(service, "CRITICAL", message, std::move(trace_id), std::move(extra));
}
// 手动 flush:通知后台线程立即发送当前积攒的批次,并等待其完成
void flush() {
_queue.flush();
}
// 停止后台线程并 flush 剩余日志(进程退出前调用,幂等)
void shutdown() {
_queue.shutdown();
}
// ---- 配置(构造后、首次推送前可改)------------------------------------
void set_endpoint(const std::string& addr, int port) {
std::lock_guard<std::mutex> lock(_endpoint_mtx);
_db_addr = addr;
_db_port = port;
}
private:
LogC()
: _queue(
[this](std::vector<Entry>&& batch) { this->_send_batch(std::move(batch)); },
{_BATCH_SIZE, _FLUSH_INTERVAL, _MAX_QUEUE_SIZE, 0.5},
[](const std::exception& e, std::vector<Entry>&&) {
std::cerr << "[LogC] 发送失败: " << e.what() << std::endl;
})
{
_queue.start();
}
~LogC() { shutdown(); }
LogC(const LogC&) = delete;
LogC& operator=(const LogC&) = delete;
// 通过 pymsg 使用 execute 路由逐条 INSERT 到 dbv2 Logs 表
void _send_batch(const std::vector<Entry>& batch) {
std::string addr;
int port;
{
std::lock_guard<std::mutex> lock(_endpoint_mtx);
addr = _db_addr;
port = _db_port;
}
const std::string now = _utc_now_iso(); // 批次共享同一时间戳(对齐 Python 版)
try {
pmc::net::MsgClient client(addr, port, "gateway-log");
for (const auto& e : batch) {
json::object values;
values["ts"] = now;
values["service"] = e.service;
values["level"] = e.level;
values["message"] = e.message;
values["trace_id"] = e.trace_id ? json::value(*e.trace_id)
: json::value(nullptr);
values["extra"] = e.extra ? json::value(*e.extra)
: json::value(nullptr);
json::object payload;
payload["_route"] = "execute";
payload["action"] = "insert";
payload["table"] = "Logs";
payload["values"] = std::move(values);
const std::string resp = client.call(
json::serialize(payload), _TIMEOUT,
/*retry_on_refused=*/false); // 日志是 fail-safe,db 不可用时静默丢弃,绝不阻塞重试
auto obj = json::parse(resp).as_object();
if (!obj.at("success").as_bool()) {
std::string err = "unknown";
if (auto* ev = obj.if_contains("error")) {
if (ev->is_string()) err = ev->as_string().c_str();
}
std::cerr << "[LogC] INSERT 失败: " << err << std::endl;
}
}
} catch (const std::exception& e) {
// fail-safe:db 不可用时静默丢弃,绝不影响业务
std::cerr << "[LogC] 发送失败: " << e.what() << std::endl;
}
}
// UTC ISO8601 时间戳(对齐 Python datetime.now(timezone.utc).isoformat())
// 形如 2026-07-29T08:30:00.123456+00:00,字典序即时间序,便于 db 按 ts 清理
static std::string _utc_now_iso() {
const auto now = std::chrono::system_clock::now();
const auto t = std::chrono::system_clock::to_time_t(now);
const auto us = std::chrono::duration_cast<std::chrono::microseconds>(
now.time_since_epoch()).count() % 1000000;
std::tm tm{};
::gmtime_r(&t, &tm);
char buf[40];
std::snprintf(buf, sizeof buf,
"%04d-%02d-%02dT%02d:%02d:%02d.%06d+00:00",
tm.tm_year + 1900, tm.tm_mon + 1, tm.tm_mday,
tm.tm_hour, tm.tm_min, tm.tm_sec, static_cast<int>(us));
return buf;
}
// ---- 配置项 -----------------------------------------------------------
std::string _db_addr = "127.0.0.1";
int _db_port = 8005;
std::mutex _endpoint_mtx; // 保护 _db_addr/_db_port 读写(set_endpoint 与后台线程并发)
static constexpr size_t _BATCH_SIZE = 50; // 队列满 50 条时 flush
static constexpr double _FLUSH_INTERVAL = 2.0; // 超时 2 秒强制 flush
static constexpr size_t _MAX_QUEUE_SIZE = 10000; // 队列上限,满时丢最旧
static constexpr double _TIMEOUT = 5.0; // socket 超时(秒)
// ---- 核心队列 ---------------------------------------------------------
pmc::net::AsyncQueue<Entry> _queue;
};
} // namespace qing