import asyncio
import functools
from typing import Callable, Any, List, Coroutine
from utils.logger import log


def timeout(seconds: int):
    """
    超时装饰器，防止函数执行时间过长
    
    Args:
        seconds: 超时时间（秒）
        
    Returns:
        Callable: 装饰后的函数
    """
    def decorator(func: Callable) -> Callable:
        @functools.wraps(func)
        async def wrapper(*args, **kwargs) -> Any:
            try:
                return await asyncio.wait_for(func(*args, **kwargs), timeout=seconds)
            except asyncio.TimeoutError:
                log.error(f"函数 {func.__name__} 执行超时，已超过 {seconds} 秒")
                raise Exception(f"执行超时，已超过 {seconds} 秒")
        return wrapper
    return decorator


class AsyncDispatcher:
    """异步调度器，支持并发处理多个任务"""
    
    def __init__(self, max_concurrency: int = 5):
        """
        初始化异步调度器
        
        Args:
            max_concurrency: 最大并发数
        """
        self.max_concurrency = max_concurrency
    
    async def run(self, tasks: List[Coroutine]) -> List[Any]:
        """
        并发执行多个任务
        
        Args:
            tasks: 任务列表
            
        Returns:
            List[Any]: 任务执行结果列表
        """
        log.info(f"开始并发执行 {len(tasks)} 个任务，最大并发数: {self.max_concurrency}")
        
        # 创建信号量控制并发
        semaphore = asyncio.Semaphore(self.max_concurrency)
        
        async def bounded_task(task: Coroutine) -> Any:
            async with semaphore:
                try:
                    return await task
                except Exception as e:
                    log.error(f"任务执行失败: {str(e)}")
                    return None
        
        # 并发执行任务
        results = await asyncio.gather(
            *[bounded_task(task) for task in tasks],
            return_exceptions=True
        )
        
        # 处理异常结果
        processed_results = []
        for i, result in enumerate(results):
            if isinstance(result, Exception):
                log.error(f"第 {i+1} 个任务执行失败: {str(result)}")
                processed_results.append(None)
            else:
                processed_results.append(result)
        
        log.info(f"并发任务执行完成，成功 {sum(1 for r in processed_results if r is not None)} 个")
        return processed_results