Initial YakPanel commit

YakTask/__init__.py

@@ -0,0 +1,12 @@
+# coding: utf-8
+# -------------------------------------------------------------------
+# YakPanel
+# -------------------------------------------------------------------
+# Copyright (c) 2014-2099 YakPanel(www.yakpanel.com) All rights reserved.
+# -------------------------------------------------------------------
+# Author: yakpanel
+# -------------------------------------------------------------------
+
+# ------------------------------
+# xxx app
+# ------------------------------

YakTask/brain.py

@@ -0,0 +1,413 @@
+# coding: utf-8
+# -------------------------------------------------------------------
+# YakPanel
+# -------------------------------------------------------------------
+# Copyright (c) 2014-2099 YakPanel(www.yakpanel.com) All rights reserved.
+# -------------------------------------------------------------------
+# Author: yakpanel
+# -------------------------------------------------------------------
+# ------------------------------
+# task app
+# ------------------------------
+import os
+import sys
+from typing import Callable, Type, TypeVar, List, Dict
+
+sys.path.insert(0, "/www/server/panel/class/")
+
+import time
+import threading
+import heapq
+import psutil
+from dataclasses import dataclass, field, fields
+from concurrent.futures import ThreadPoolExecutor, Future
+from YakTask.conf import logger, CHILD_PID_PATH
+
+T = TypeVar("T", bound="TaskInfo")
+
+CPU_COUNT = psutil.cpu_count()
+
+
+@dataclass(order=True)
+class TaskInfo:
+    # dont init next_run
+    next_run: float = field(init=False)
+    task_id: str
+    # dont compare
+    func: Callable = field(compare=False)
+    interval: int | float
+    is_core: bool
+    loop: bool = True
+
+    @classmethod
+    def from_dict(cls: Type[T], data: dict, next_run: float) -> T:
+        class_fields = {f.name for f in fields(cls)}
+        filtered_data = {k: v for k, v in data.items() if k in class_fields}
+        instance = cls(**filtered_data)
+        instance.next_run = next_run
+        return instance
+
+
+class SimpleBrain:
+    MAXFACTOR = 5.0  # 最大延迟因子
+    MEM_LIMIT_MB = 100  # 内存限制
+    MAX_WORKER = 16  # 最大线程数
+    DEFAULT_WORKER = max(4, CPU_COUNT)  # 默认线程数
+    CHECKER_INTERVAL = 10  # 检查器间隔时间/秒
+    TIMEOUT_FACTOR = 2  # 任务超时倍率
+    TASK_MAX_TIMEOUT = 6 * 3600.0  # 任务最大超时6小时
+
+    __slots__ = (
+        "cpu_max", "workers", "executor", "task_queue", "queue_lock",
+        "task_status", "status_lock", "core_status_lock", "core_tasks", "delay_factor",
+        "shutdown", "mem_limit", "pool_full_count",
+    )
+
+    def __init__(self, cpu_max: float = 30.0, workers: int = None, mem_limit: int = None):
+        self.cpu_max = cpu_max
+        self.workers = min(self.MAX_WORKER, workers or self.DEFAULT_WORKER)
+        self.mem_limit = mem_limit or self.MEM_LIMIT_MB
+        logger.debug(f"max_workers = {self.workers}, mem_limit = {self.mem_limit}MB")
+        self.task_queue: List[TaskInfo] = []
+        self.queue_lock = threading.RLock()
+        self.status_lock = threading.RLock()
+        self.core_status_lock = threading.RLock()
+        self.core_tasks: Dict[str, tuple[threading.Thread, tuple[Callable, int]]] = {}
+        self.task_status: Dict[str, tuple[float, float, Future]] = {}
+        self.shutdown = False
+        self.delay_factor = 0.0
+        self.pool_full_count = 0
+        self.executor = ThreadPoolExecutor(max_workers=self.workers)
+        self._start_checker()
+        logger.debug("SimpleBrain initialized")
+
+    def _auto_pool(self):
+        """自适应扩容池"""
+        cpu = psutil.cpu_percent(interval=0.1)
+        new_size = None
+        # 扩容, 任务堆积
+        if all([
+            self.pool_full_count >= (60 // self.CHECKER_INTERVAL),  # 1min内连续满载
+            cpu < 80,  # 在CPU未过载时进行线程扩容
+            self.workers < self.MAX_WORKER
+        ]):
+            new_size = min(self.workers + 2, self.MAX_WORKER)
+        # else: # 缩容
+
+        if new_size and new_size != self.workers:
+            logger.warning(f"Resize Task Pool from {self.workers} to {new_size}...")
+            self._shutdown()
+            os.system(
+                f"nohup /www/server/panel/Yak-Task --max-workers {new_size} >> /www/server/panel/logs/task.log 2>&1 &"
+            )
+            os._exit(0)
+
+    @property
+    def queue_size(self) -> int:
+        with self.queue_lock:
+            return len(self.task_queue)
+
+    @property
+    def get_current_process_memory(self):
+        """返回当前进程内存MB"""
+        return round(psutil.Process().memory_info().rss / 1024 / 1024, 2)
+
+    def __mem_limit(self, current_mem: float = None):
+        if not current_mem:
+            current_mem = self.get_current_process_memory
+        if current_mem >= self.mem_limit:
+            logger.warning("Memory exceed limit...Restart brain task")
+            self._shutdown()
+            os.system(
+                "nohup /www/server/panel/Yak-Task >> /www/server/panel/logs/task.log 2>&1 &"
+            )
+            os._exit(0)
+
+    def __core_alive(self):
+        with self.core_status_lock:
+            dead_tasks = [
+                task_id for task_id, (thread, _) in self.core_tasks.items()
+                if not thread.is_alive()
+            ]
+            for task_id in dead_tasks:
+                logger.warning(f"Core task [{task_id}] is dead. Restarting...")
+                _, args = self.core_tasks[task_id]
+                thread = threading.Thread(
+                    target=self._core_task_runner,
+                    args=args,
+                    daemon=True,
+                    name=f"CoreTask-{task_id}"
+                )
+                thread.start()
+                self.core_tasks[task_id] = (thread, args)
+
+    def __normal_task_process(self, now_time: float) -> int:
+        """
+        - 对于普通任务 deadline_ts != -1，如果超时则移除。
+        - 对于循环任务 deadline_ts == -1，如果其 future非running，则移除。
+        返回当前运行中的所有普通任务数
+        """
+
+        def _pop_task(tid_str: str):
+            self.clean_child(os.path.join(CHILD_PID_PATH, f"{tid_str}.pid"))
+            self.task_status.pop(tid_str, None)
+
+        with self.status_lock:
+            for tid, info in list(self.task_status.items()):
+                if not info or len(info) != 3:
+                    _pop_task(tid)
+                    continue
+
+                start_time, deadline_ts, future = info
+                if deadline_ts != -1:
+                    if now_time > deadline_ts:
+                        # 普通任务超时静默移除
+                        _pop_task(tid)
+                    continue
+
+                if future and not future.running():
+                    # loop任务异常移除
+                    _pop_task(tid)
+            return len(self.task_status)
+
+    def __checker(self):
+        resize_check_interval = 60  # 每1min检查一次是否需要扩容
+        last_check_time = time.monotonic()
+        last_resize_check = time.monotonic()
+
+        while not self.shutdown:
+            try:
+                cpu = psutil.cpu_percent(interval=0.2)
+                now = time.monotonic()
+                # 每10s
+                now_time = time.time()
+                if now - last_check_time > self.CHECKER_INTERVAL:
+                    last_check_time = now
+                    mem = self.get_current_process_memory
+                    self.__mem_limit(mem)  # 内存阈值检测
+                    self.__core_alive()
+                    running_tasks = self.__normal_task_process(now_time)
+                    rate = (running_tasks / self.workers) * 100
+                    logger.debug(
+                        f"Mem: {mem} MB, CPU: {cpu}%, "
+                        f"Pool: {running_tasks}/{self.workers} ({rate:.1f}%)"
+                    )
+                    if rate >= 90.0:  # 高负荷计数
+                        self.pool_full_count += 1
+                    else:  # 重置计数
+                        self.pool_full_count = 0
+
+                # 每1min
+                if now - last_resize_check > resize_check_interval:
+                    last_resize_check = now
+                    self._auto_pool()
+
+                if cpu > self.cpu_max:
+                    self.delay_factor = min(
+                        self.MAXFACTOR,
+                        self.MAXFACTOR * (cpu - self.cpu_max) / (100.0 - self.cpu_max)
+                    )
+                elif self.delay_factor > 0:
+                    self.delay_factor = max(0.0, self.delay_factor - 0.1)
+
+            except Exception as e:
+                logger.error(f"cpu mem checker error: {e}")
+                time.sleep(5)
+
+    def _start_checker(self):
+        threading.Thread(
+            target=self.__checker, daemon=True, name="BrainChecker"
+        ).start()
+
+    def _callback(self, task_id: str, future: Future):
+        try:
+            future.result()
+        except Exception as e:
+            logger.error(f"task error [{task_id}]: {str(e)}")
+        finally:
+            with self.status_lock:
+                info = self.task_status.pop(task_id, None)
+            if not info:
+                logger.info(f"task done [{task_id}]")
+                return
+            start_time, _, _ = info
+            logger.debug(
+                f"task done [{task_id}] use time: {round(time.time() - start_time, 2)}s"
+            )
+
+    def _run_func_safe(self, func: Callable):
+        """捕获异常"""
+        try:
+            func()
+        except Exception:
+            import traceback
+            logger.error(traceback.format_exc())
+
+    def _core_task_runner(self, funcs: Callable | List[Callable], interval: float):
+        funcs = funcs if isinstance(funcs, list) else [funcs]
+        while 1:
+            for f in funcs:
+                self._run_func_safe(f)
+            time.sleep(interval)
+
+    def _submit_task(self, tasks: List[TaskInfo]):
+        for task in tasks:
+            start_time = time.time()
+            # 超时值: 自身任务间隔 * 超时倍率, 最大限制
+            if not task.loop:
+                timeout_sec = min(
+                    self.TASK_MAX_TIMEOUT, (max(1.0, float(task.interval) * self.TIMEOUT_FACTOR))
+                )
+                deadline_ts = start_time + timeout_sec
+            else:
+                deadline_ts = -1  # 无限期
+
+            future = None
+            try:
+                with self.status_lock:
+                    future = self.executor.submit(task.func)
+                    self.task_status[task.task_id] = (
+                        start_time, deadline_ts, future
+                    )
+                future.add_done_callback(
+                    lambda f, tid=task.task_id: self._callback(tid, f)
+                )
+            except Exception as e:
+                logger.error(f"Failed to submit task [{task.task_id}]: {e}")
+                # 无条件确保清理状态
+                with self.status_lock:
+                    self.task_status.pop(task.task_id, None)
+                continue
+
+    # ========================== Public =======================================
+    def register_task(self, **kwargs):
+        task_id = kwargs["task_id"]
+        if kwargs.get("is_core"):
+            # core task, daemon thread
+            if task_id in self.core_tasks:
+                return
+
+            args = (kwargs["func"], kwargs["interval"])
+            core_thread = threading.Thread(
+                target=self._core_task_runner,
+                args=args,
+                daemon=True,
+                name=f"CoreTask-{task_id}"
+            )
+            core_thread.start()
+            logger.debug(
+                f"registe core task [{task_id}], interval [{kwargs['interval']}]"
+            )
+            with self.core_status_lock:
+                self.core_tasks[task_id] = (core_thread, args)
+
+        else:  # not core task, heapq, pool
+            with self.queue_lock:
+                if task_id not in {t.task_id for t in self.task_queue}:
+                    task = TaskInfo.from_dict(kwargs, next_run=time.monotonic())
+                    heapq.heappush(self.task_queue, task)
+                    logger.debug(
+                        f"register normal task [{task_id}], interval [{task.interval}s]"
+                    )
+
+    @staticmethod
+    def clean_child(pid_path: str = None):
+        # 清理进程, 防泄漏
+        def _clean_single(path):
+            if not os.path.exists(path) or not path.endswith(".pid"):
+                return
+            try:
+                with open(path, "r") as pf:
+                    pid = int(pf.read().strip())
+                psutil.Process(pid).kill()
+            except (psutil.NoSuchProcess, psutil.AccessDenied, FileNotFoundError, ValueError):
+                pass
+            except Exception:
+                pass
+            finally:
+                try:
+                    os.remove(path)
+                except Exception:
+                    pass
+
+        if not pid_path:
+            # 清理所有子进程
+            if not os.path.exists(CHILD_PID_PATH):
+                return
+            for pid_file in os.listdir(CHILD_PID_PATH):
+                _clean_single(os.path.join(CHILD_PID_PATH, pid_file))
+        else:  # 清理指定子进程
+            _clean_single(pid_path)
+
+    def run(self):
+        self.clean_child()
+        while not self.shutdown:
+            now = time.monotonic()
+            with self.queue_lock:
+                ready_tasks = []
+                while (
+                    self.task_queue
+                    and self.task_queue[0].next_run <= now
+                    and len(ready_tasks) < 1
+                ):
+                    ready_tasks.append(heapq.heappop(self.task_queue))
+                next_run_time = self.task_queue[0].next_run if self.task_queue else now + 1.0
+
+            submit = []
+            requeue = []
+            for task in ready_tasks:
+                with self.status_lock:
+                    is_running = task.task_id in self.task_status
+
+                if is_running:
+                    logger.debug(f"still running, {task.task_id}")
+                    task.next_run = now + task.interval
+                    requeue.append(task)
+                    continue
+
+                if self.delay_factor > 0:
+                    # 指数退避
+                    logger.debug(f"cpu overload, requeue [{task.task_id}]")
+                    task.next_run = now + 1.5 * (1.0 + self.delay_factor)
+                    requeue.append(task)
+                    continue
+
+                # 更新间隔, 准备提交, 归队
+                task.next_run = now + task.interval
+                requeue.append(task)
+                submit.append(task)
+
+            if requeue:
+                with self.queue_lock:
+                    for task in requeue:
+                        heapq.heappush(self.task_queue, task)
+                    next_run_time = self.task_queue[0].next_run
+
+            if submit:
+                self._submit_task(submit)
+                time.sleep(1) # 使相同间隔的任务加大错峰
+
+            time.sleep(max(0.01, min(1.0, next_run_time - now)))
+
+    def _shutdown(self):
+        self.shutdown = True
+        logger.warning("shutdown...")
+
+        with self.queue_lock:
+            pending = len(self.task_queue)
+            self.task_queue.clear()
+
+        with self.status_lock:
+            running = len(self.task_status)
+            self.task_status.clear()
+
+        with self.core_status_lock:
+            self.core_tasks.clear()
+
+        logger.warning(
+            f"shutdown complete, {running} tasks cancelled, {pending} tasks discarded"
+        )
+
+        self.executor.shutdown(wait=False)
+        self.clean_child()
+        logger.warning("released")

YakTask/conf.py

@@ -0,0 +1,72 @@
+# coding: utf-8
+# -------------------------------------------------------------------
+# YakPanel
+# -------------------------------------------------------------------
+# Copyright (c) 2014-2099 YakPanel(www.yakpanel.com) All rights reserved.
+# -------------------------------------------------------------------
+# Author: yakpanel
+# -------------------------------------------------------------------
+
+# ------------------------------
+# 计划任务配置,常量
+# ------------------------------
+
+import logging
+import os
+
+__all__ = [
+    "BASE_PATH",
+    "CURRENT_TASK_VERSION",
+    "PYTHON_BIN",
+    "isTask",
+    "exlogPath",
+    "logger",
+]
+
+os.environ["BT_TASK"] = "1"
+
+CHILD_PID_PATH = "/tmp/brain_task_pids/"
+TIMEOUT = 600
+
+BASE_PATH = "/www/server/panel"
+CURRENT_TASK_VERSION = "1.0.1"
+TASK_LOG_FILE = f"{BASE_PATH}/logs/task.log"
+
+# 旧常量
+isTask = "/tmp/panelTask.pl"
+exlogPath = "/tmp/panelExec.log"
+
+aaPy = f"{BASE_PATH}/pyenv/bin/python"
+if os.path.exists(aaPy):
+    PYTHON_BIN = aaPy
+else:
+    PYTHON_BIN = "/usr/bin/python"
+
+# 日志简单限制50M
+if os.path.getsize(TASK_LOG_FILE) > 50 * 1024 * 1024:
+    try:
+        os.remove(TASK_LOG_FILE)
+        os.mknod(TASK_LOG_FILE)
+    except Exception:
+        pass
+
+if os.path.exists("{}/data/debug.pl".format(BASE_PATH)):
+    is_debug = True
+else:
+    is_debug = False
+
+logging.basicConfig(
+    level=logging.NOTSET if is_debug else logging.INFO,
+    format="%(asctime)s [%(levelname)s]: %(message)s",
+    datefmt="%Y-%m-%d %H:%M:%S",
+    filename=TASK_LOG_FILE,
+    filemode="a+",
+)
+logging.getLogger("pyroute2").setLevel(logging.ERROR)
+logging.getLogger("pyroute2").propagate = False
+for name in ("pyroute2.netlink", "pyroute2.netlink.core"):
+    lg = logging.getLogger(name)
+    lg.setLevel(logging.ERROR)
+    lg.propagate = False
+
+logger = logging.getLogger()