mirror of
https://github.com/jxxghp/MoviePilot.git
synced 2026-08-29 03:56:43 +08:00
255 lines
8.7 KiB
Python
255 lines
8.7 KiB
Python
"""同步数据库短事务的异步执行器。"""
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from __future__ import annotations
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import asyncio
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import threading
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import time
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from concurrent.futures import Future, ThreadPoolExecutor
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from contextvars import copy_context
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from dataclasses import dataclass
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from typing import Callable, TypeVar
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from app.application.database import (
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DatabaseWorkerClosedError,
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DatabaseWorkerOverloadedError,
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)
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from app.runtime.observability import record_metric
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T = TypeVar("T")
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DATABASE_WORKER_MAX_WORKERS = 4
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DATABASE_WORKER_CAPACITY = 32
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@dataclass(frozen=True, slots=True)
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class DatabaseWorkerStats:
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"""数据库执行器当前的容量和任务数量。"""
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max_workers: int
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capacity: int
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queued: int
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running: int
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rejected: int
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closing: bool
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@dataclass(slots=True)
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class _WorkItem:
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"""记录一个任务的排队时间和执行状态。"""
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submitted_at: float
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started_at: float | None = None
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class DatabaseWorker:
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"""以有限线程和队列执行不能原生异步化的数据库短事务。"""
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def __init__(
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self,
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*,
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max_workers: int = DATABASE_WORKER_MAX_WORKERS,
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capacity: int = DATABASE_WORKER_CAPACITY,
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) -> None:
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"""保存容量配置，线程只在显式启动后创建。"""
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if max_workers < 1:
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raise ValueError("数据库 worker 线程数必须大于 0")
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if capacity < max_workers:
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raise ValueError("数据库 worker 总容量不能小于线程数")
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self._max_workers = max_workers
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self._capacity = capacity
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self._state_lock = threading.Lock()
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self._loop: asyncio.AbstractEventLoop | None = None
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self._executor: ThreadPoolExecutor | None = None
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self._futures: dict[
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Future[object], tuple[asyncio.Future[object], _WorkItem]
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] = {}
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self._queued = 0
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self._running = 0
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self._reported_queued = 0
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self._reported_running = 0
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self._rejected = 0
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self._closing = False
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async def start(self) -> None:
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"""绑定当前事件循环并准备专属线程池。"""
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if self._executor is not None:
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if self._loop is not asyncio.get_running_loop():
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raise RuntimeError("数据库 worker 不能跨事件循环复用")
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return
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self._loop = asyncio.get_running_loop()
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self._executor = ThreadPoolExecutor(
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max_workers=self._max_workers,
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thread_name_prefix="moviepilot-db",
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)
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self._closing = False
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self._record_depth()
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def snapshot(self) -> DatabaseWorkerStats:
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"""返回无需访问任务对象的低基数运行快照。"""
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with self._state_lock:
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return DatabaseWorkerStats(
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max_workers=self._max_workers,
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capacity=self._capacity,
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queued=self._queued,
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running=self._running,
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rejected=self._rejected,
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closing=self._closing,
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)
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async def run(self, operation: Callable[[], T]) -> T:
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"""执行短事务，取消时仍等待已开始的事务取得最终结果。"""
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loop = asyncio.get_running_loop()
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executor = self._executor
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if executor is None or self._loop is not loop or self._closing:
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raise DatabaseWorkerClosedError("数据库 worker 当前不可接收任务")
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with self._state_lock:
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if self._queued + self._running >= self._capacity:
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self._rejected += 1
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record_metric("db.worker.rejected")
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raise DatabaseWorkerOverloadedError(
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f"数据库 worker 容量已用尽（上限 {self._capacity}）"
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)
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self._queued += 1
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item = _WorkItem(submitted_at=time.perf_counter())
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context = copy_context()
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try:
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future = executor.submit(self._execute, item, context.run, operation)
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except BaseException:
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with self._state_lock:
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self._queued -= 1
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self._record_depth()
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raise
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wrapped = asyncio.wrap_future(future, loop=loop)
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with self._state_lock:
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self._futures[future] = (wrapped, item)
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future.add_done_callback(
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lambda completed: self._schedule_completion(completed, item)
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)
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self._record_depth()
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try:
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return await asyncio.shield(wrapped)
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except asyncio.CancelledError:
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if not future.cancel():
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await self._wait_until_done(wrapped)
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if wrapped.done() and not wrapped.cancelled():
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wrapped.exception()
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raise
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def _execute(
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self,
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item: _WorkItem,
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context_run: Callable[..., T],
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operation: Callable[[], T],
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) -> T:
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"""在线程中标记任务开始并保留提交时的上下文。"""
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item.started_at = time.perf_counter()
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loop = self._loop
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if loop is not None:
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try:
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loop.call_soon_threadsafe(self._mark_running, item)
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except RuntimeError:
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pass
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return context_run(operation)
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def _mark_running(self, item: _WorkItem) -> None:
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"""把任务从排队状态移入运行状态。"""
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with self._state_lock:
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self._queued -= 1
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self._running += 1
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started_at = item.started_at or time.perf_counter()
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record_metric("db.worker.wait", started_at - item.submitted_at)
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self._record_depth()
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def _schedule_completion(
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self,
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future: Future[object],
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item: _WorkItem,
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) -> None:
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"""把线程完成通知安全地回投到所属事件循环。"""
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loop = self._loop
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if loop is None:
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return
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try:
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loop.call_soon_threadsafe(self._complete, future, item)
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except RuntimeError:
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pass
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def _complete(self, future: Future[object], item: _WorkItem) -> None:
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"""释放 admission，并记录任务的最终结果。"""
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with self._state_lock:
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self._futures.pop(future, None)
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if future.running() or future.done() and not future.cancelled():
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self._running -= 1
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else:
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self._queued -= 1
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outcome = "cancelled" if future.cancelled() else "success"
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if not future.cancelled():
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try:
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future.result()
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except BaseException:
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outcome = "error"
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started_at = item.started_at or item.submitted_at
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record_metric(
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"db.worker.duration",
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time.perf_counter() - started_at,
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outcome=outcome,
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)
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self._record_depth()
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async def _wait_until_done(
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self,
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future: asyncio.Future[object],
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*,
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interruptible: bool = False,
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) -> None:
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"""等待线程内事务结束，并按调用场景决定是否响应外层取消。"""
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while not future.done():
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try:
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await asyncio.shield(future)
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except asyncio.CancelledError:
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if interruptible:
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raise
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continue
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except BaseException:
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break
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async def shutdown(self) -> None:
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"""拒绝新任务，取消排队任务并等待运行中事务结束。"""
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executor = self._executor
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if executor is None:
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return
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if self._loop is not asyncio.get_running_loop():
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raise RuntimeError("数据库 worker 必须在所属事件循环中停止")
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self._closing = True
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with self._state_lock:
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futures = tuple(self._futures.items())
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for future, _state in futures:
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future.cancel()
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for future, (wrapped, _item) in futures:
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if not future.cancelled():
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# 关停超时必须能返回并保留 owner；已开始的数据库事务继续由线程完成。
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await self._wait_until_done(wrapped, interruptible=True)
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executor.shutdown(wait=True, cancel_futures=True)
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while self.snapshot().queued or self.snapshot().running:
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await asyncio.sleep(0)
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self._executor = None
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self._record_depth()
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def _record_depth(self) -> None:
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"""以状态变化量记录队列和运行中的任务数量。"""
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stats = self.snapshot()
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queued_delta = stats.queued - self._reported_queued
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running_delta = stats.running - self._reported_running
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if queued_delta:
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record_metric("db.worker.queue.depth", queued_delta)
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if running_delta:
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record_metric("db.worker.active", running_delta)
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self._reported_queued = stats.queued
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self._reported_running = stats.running
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