PingWatch 网络设备离线监控系统
- FastAPI 后端 + Vue 3 前端 - Docker Compose 一键部署 - Casdoor OAuth 认证集成 - LogHive 集中式日志 - 设备批量 CSV 导入/导出 - WebSocket 实时状态推送 - 企业微信告警通知 - fping 高性能并发 Ping 检测 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
@@ -0,0 +1,137 @@
|
||||
"""
|
||||
LogHive 日志 Handler
|
||||
|
||||
基于标准 logging.Handler,通过 REST API 将日志异步批量发送到 LogHive。
|
||||
不依赖外部包,后台线程发送,失败不影响主业务。
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import atexit
|
||||
import json
|
||||
import logging
|
||||
import queue
|
||||
import threading
|
||||
import time
|
||||
import traceback as tb
|
||||
|
||||
import httpx
|
||||
|
||||
|
||||
class LogHiveHandler(logging.Handler):
|
||||
"""异步批量发送日志到 LogHive"""
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
endpoint: str,
|
||||
project: str,
|
||||
api_key: str,
|
||||
level: int = logging.INFO,
|
||||
batch_size: int = 50,
|
||||
flush_interval: float = 2.0,
|
||||
max_retries: int = 3,
|
||||
):
|
||||
super().__init__(level=level)
|
||||
self._endpoint = endpoint.rstrip("/") + "/api/logs/ingest"
|
||||
self._project = project
|
||||
self._api_key = api_key
|
||||
self._batch_size = batch_size
|
||||
self._flush_interval = flush_interval
|
||||
self._max_retries = max_retries
|
||||
|
||||
self._queue: queue.Queue = queue.Queue()
|
||||
self._client: httpx.Client | None = None
|
||||
self._thread: threading.Thread | None = None
|
||||
self._running = False
|
||||
|
||||
def _ensure_client(self):
|
||||
if self._client is None:
|
||||
self._client = httpx.Client(timeout=10)
|
||||
|
||||
def _ensure_thread(self):
|
||||
if self._thread is None or not self._thread.is_alive():
|
||||
self._running = True
|
||||
self._thread = threading.Thread(target=self._send_loop, daemon=True)
|
||||
self._thread.start()
|
||||
|
||||
def emit(self, record: logging.LogRecord):
|
||||
"""接收日志记录,放入队列"""
|
||||
if not self._api_key:
|
||||
return
|
||||
self._ensure_thread()
|
||||
try:
|
||||
entry = {
|
||||
"level": record.levelname.lower(),
|
||||
"message": self.format(record),
|
||||
"logger": record.name,
|
||||
"timestamp": record.created,
|
||||
}
|
||||
if record.exc_info and record.exc_info[1]:
|
||||
entry["exception"] = "".join(
|
||||
tb.format_exception(*record.exc_info)
|
||||
)
|
||||
self._queue.put_nowait(entry)
|
||||
except Exception:
|
||||
pass # 日志发送失败不能影响主业务
|
||||
|
||||
def _send_loop(self):
|
||||
"""后台线程:定时批量发送"""
|
||||
while self._running:
|
||||
batch = []
|
||||
deadline = time.monotonic() + self._flush_interval
|
||||
|
||||
while len(batch) < self._batch_size:
|
||||
try:
|
||||
remaining = max(0, deadline - time.monotonic())
|
||||
batch.append(self._queue.get(timeout=remaining))
|
||||
except queue.Empty:
|
||||
break
|
||||
|
||||
if batch:
|
||||
payload = {"project": self._project, "entries": batch}
|
||||
for attempt in range(self._max_retries):
|
||||
try:
|
||||
self._ensure_client()
|
||||
resp = self._client.post(
|
||||
self._endpoint,
|
||||
json=payload,
|
||||
headers={"Authorization": f"Bearer {self._api_key}"},
|
||||
)
|
||||
if resp.status_code < 500:
|
||||
break
|
||||
except Exception:
|
||||
if attempt == self._max_retries - 1:
|
||||
pass # 最终丢弃
|
||||
else:
|
||||
time.sleep(0.5 * (attempt + 1))
|
||||
|
||||
def close(self):
|
||||
"""关闭 handler,flush 剩余日志"""
|
||||
self._running = False
|
||||
if self._thread and self._thread.is_alive():
|
||||
self._thread.join(timeout=5)
|
||||
if self._client:
|
||||
self._client.close()
|
||||
super().close()
|
||||
|
||||
|
||||
class AsyncLogHiveHandler:
|
||||
"""
|
||||
用于 asyncio 事件循环的异步 handler。
|
||||
在独立的线程中运行同步 LogHiveHandler,通过 asyncio 队列桥接。
|
||||
"""
|
||||
|
||||
def __init__(self, **kwargs):
|
||||
self._handler = LogHiveHandler(**kwargs)
|
||||
self._loop: asyncio.AbstractEventLoop | None = None
|
||||
|
||||
def setup(self, loop: asyncio.AbstractEventLoop):
|
||||
self._loop = loop
|
||||
atexit.register(self._handler.close)
|
||||
|
||||
async def emit(self, record: logging.LogRecord):
|
||||
"""异步安全地提交日志记录"""
|
||||
# LogHiveHandler.emit 已经把日志放入内部队列,这里只需确保线程运行
|
||||
self._handler.emit(record)
|
||||
|
||||
def close(self):
|
||||
self._handler.close()
|
||||
Reference in New Issue
Block a user