# 傳統(tǒng)回調(diào)函數(shù)示例
def traditional_callback(result):
    print("處理結(jié)果:", result)

def async_operation(data, callback):
    # 模擬異步操作
    result = data * 2
    callback(result)

# 使用示例
async_operation(5, traditional_callback)

class Async:
    def __init__(self, func, args):
        self.func = func
        self.args = args

from functools import wraps
from queue import Queue

def inlined_async(func):
    @wraps(func)
    def wrapper(*args):
        # 創(chuàng)建生成器
        f = func(*args)
        # 創(chuàng)建結(jié)果隊(duì)列
        result_queue = Queue()
        result_queue.put(None)
        
        while True:
            # 從隊(duì)列獲取結(jié)果
            result = result_queue.get()
            try:
                # 發(fā)送結(jié)果到生成器，獲取下一個(gè)Async對象
                async_obj = f.send(result)
                # 執(zhí)行異步操作，將結(jié)果放入隊(duì)列
                apply_async(async_obj.func, async_obj.args, 
                           callback=result_queue.put)
            except StopIteration:
                break
    return wrapper

from functools import wraps
from queue import Queue

# Async類封裝異步操作
class Async:
    def __init__(self, func, args):
        self.func = func
        self.args = args

# 模擬異步執(zhí)行函數(shù)
def apply_async(func, args, callback):
    """執(zhí)行函數(shù)并調(diào)用回調(diào)函數(shù)處理結(jié)果"""
    result = func(*args)
    callback(result)

# 核心裝飾器
def inlined_async(func):
    @wraps(func)
    def wrapper(*args):
        # 創(chuàng)建生成器
        f = func(*args)
        # 創(chuàng)建結(jié)果隊(duì)列，初始放入None
        result_queue = Queue()
        result_queue.put(None)
        
        # 驅(qū)動生成器執(zhí)行
        while True:
            # 從隊(duì)列獲取異步操作結(jié)果
            result = result_queue.get()
            try:
                # 發(fā)送結(jié)果到生成器，獲取下一個(gè)異步操作
                async_obj = f.send(result)
                # 執(zhí)行異步操作，指定回調(diào)為隊(duì)列的put方法
                apply_async(async_obj.func, async_obj.args, 
                           callback=result_queue.put)
            except StopIteration:
                # 生成器執(zhí)行完成
                break
    return wrapper

# 工具函數(shù)
def add(x, y):
    return x + y

def multiply(x, y):
    return x * y

@inlined_async
def complex_operation():
    """復(fù)雜異步操作示例"""
    try:
        # 第一個(gè)異步操作：加法
        print("開始加法操作")
        result1 = yield Async(add, (10, 20))
        print(f"加法結(jié)果: {result1}")
        
        # 第二個(gè)異步操作：乘法
        print("開始乘法操作")
        result2 = yield Async(multiply, (result1, 3))
        print(f"乘法結(jié)果: {result2}")
        
        # 批量異步操作
        print("開始批量操作")
        for i in range(3):
            result = yield Async(add, (result2, i))
            print(f"第{i+1}次批量操作結(jié)果: {result}")
            
        # 條件異步操作
        if result2 > 50:
            final_result = yield Async(multiply, (result2, 2))
        else:
            final_result = yield Async(add, (result2, 100))
            
        print(f"最終結(jié)果: {final_result}")
        
    except Exception as e:
        print(f"操作失敗: {e}")

# 執(zhí)行復(fù)雜操作
complex_operation()

def apply_async_with_error(func, args, callback):
    """帶錯誤處理的異步執(zhí)行函數(shù)"""
    try:
        result = func(*args)
        callback({'type': 'result', 'value': result})
    except Exception as e:
        callback({'type': 'error', 'value': e})

def advanced_inlined_async(func):
    """增強(qiáng)的內(nèi)聯(lián)異步裝飾器，支持異常處理"""
    @wraps(func)
    def wrapper(*args):
        f = func(*args)
        result_queue = Queue()
        result_queue.put({'type': 'result', 'value': None})
        
        while True:
            message = result_queue.get()
            try:
                if message['type'] == 'error':
                    # 將異常拋入生成器
                    async_obj = f.throw(message['value'])
                else:
                    # 正常發(fā)送結(jié)果
                    async_obj = f.send(message['value'])
                
                # 執(zhí)行異步操作
                apply_async_with_error(
                    async_obj.func, async_obj.args, 
                    callback=result_queue.put
                )
            except StopIteration:
                break
            except Exception as e:
                # 處理生成器中的未捕獲異常
                print(f"未處理的異常: {e}")
                break
    return wrapper

@advanced_inlined_async
def robust_operation():
    """健壯的異步操作示例"""
    try:
        result = yield Async(add, (10, 20))
        # 模擬可能失敗的操作
        if result > 0:
            risky_result = yield Async(lambda x: x/0, (result,))  # 會引發(fā)異常
        return risky_result
    except ZeroDivisionError:
        print("捕獲到除零錯誤，執(zhí)行恢復(fù)操作")
        recovery_result = yield Async(add, (result, 100))
        return recovery_result

import asyncio
from functools import wraps

def async_inlined_async(func):
    """支持asyncio的內(nèi)聯(lián)異步裝飾器"""
    @wraps(func)
    async def wrapper(*args):
        f = func(*args)
        result = None
        
        while True:
            try:
                # 發(fā)送當(dāng)前結(jié)果，獲取下一個(gè)異步操作
                async_obj = f.send(result)
                # 使用asyncio執(zhí)行異步操作
                result = await asyncio.get_event_loop().run_in_executor(
                    None, async_obj.func, *async_obj.args
                )
            except StopIteration:
                return
    return wrapper

@async_inlined_async
def modern_async_operation():
    """現(xiàn)代異步操作示例"""
    # 模擬I/O密集型操作
    data1 = yield Async(io_intensive_operation, ("query_1",))
    print(f"獲取數(shù)據(jù)1: {data1}")
    
    # 可以繼續(xù)其他異步操作
    data2 = yield Async(io_intensive_operation, ("query_2",))
    print(f"獲取數(shù)據(jù)2: {data2}")
    
    # 處理數(shù)據(jù)
    processed_data = yield Async(process_data, (data1, data2))
    return processed_data

# 在asyncio事件循環(huán)中運(yùn)行
async def main():
    await modern_async_operation()

# 啟動事件循環(huán)
asyncio.run(main())

@inlined_async
def api_workflow():
    """API調(diào)用工作流示例"""
    try:
        # 第一步：獲取用戶信息
        user_data = yield Async(fetch_user_data, (123,))
        print(f"用戶數(shù)據(jù): {user_data}")
        
        # 第二步：根據(jù)用戶信息獲取訂單
        order_data = yield Async(fetch_user_orders, (user_data['id'],))
        print(f"訂單數(shù)據(jù): {order_data}")
        
        # 第三步：并行處理多個(gè)訂單詳情（簡化示例）
        order_details = []
        for order_id in order_data['order_ids']:
            detail = yield Async(fetch_order_details, (order_id,))
            order_details.append(detail)
        
        # 第四步：匯總結(jié)果
        summary = yield Async(generate_summary, (user_data, order_details))
        print(f"匯總結(jié)果: {summary}")
        
        return summary
        
    except NetworkError as e:
        print(f"網(wǎng)絡(luò)請求失敗: {e}")
        return None

# 模擬網(wǎng)絡(luò)請求函數(shù)
def fetch_user_data(user_id):
    # 模擬網(wǎng)絡(luò)延遲
    import time
    time.sleep(0.5)
    return {'id': user_id, 'name': '張三', 'email': 'zhangsan@example.com'}

def fetch_user_orders(user_id):
    time.sleep(0.5)
    return {'user_id': user_id, 'order_ids': [1001, 1002, 1003]}

def fetch_order_details(order_id):
    time.sleep(0.3)
    return {'order_id': order_id, 'amount': order_id * 10, 'status': 'completed'}

def generate_summary(user_data, order_details):
    total_amount = sum(order['amount'] for order in order_details)
    return {
        'user': user_data['name'],
        'total_orders': len(order_details),
        'total_amount': total_amount
    }

@inlined_async
def data_processing_pipeline(input_file, output_file):
    """數(shù)據(jù)處理管道示例"""
    try:
        # 第一步：讀取文件
        raw_data = yield Async(read_large_file, (input_file,))
        print(f"已讀取數(shù)據(jù)大小: {len(raw_data)}字節(jié)")
        
        # 第二步：數(shù)據(jù)清洗
        cleaned_data = yield Async(clean_data, (raw_data,))
        print(f"數(shù)據(jù)清洗完成，有效記錄: {len(cleaned_data)}條")
        
        # 第三步：數(shù)據(jù)分析
        analysis_result = yield Async(analyze_data, (cleaned_data,))
        print(f"數(shù)據(jù)分析完成: {analysis_result}")
        
        # 第四步：生成報(bào)告
        report = yield Async(generate_report, (analysis_result,))
        
        # 第五步：保存結(jié)果
        yield Async(save_to_file, (report, output_file))
        print("數(shù)據(jù)處理管道執(zhí)行完成")
        
    except Exception as e:
        print(f"數(shù)據(jù)處理失敗: {e}")
        # 錯誤處理邏輯
        yield Async(log_error, (str(e), "error.log"))

from threading import Semaphore

def throttled_inlined_async(max_concurrent=10):
    """帶并發(fā)限制的內(nèi)聯(lián)異步裝飾器"""
    def decorator(func):
        @wraps(func)
        def wrapper(*args):
            f = func(*args)
            result_queue = Queue()
            result_queue.put(None)
            semaphore = Semaphore(max_concurrent)
            active_tasks = 0
            
            while True:
                result = result_queue.get()
                active_tasks -= 1
                
                try:
                    async_obj = f.send(result)
                    
                    # 控制并發(fā)數(shù)量
                    semaphore.acquire()
                    active_tasks += 1
                    
                    def callback_with_release(result):
                        semaphore.release()
                        result_queue.put(result)
                    
                    apply_async(async_obj.func, async_obj.args, 
                               callback=callback_with_release)
                               
                except StopIteration:
                    if active_tasks == 0:
                        break
                except Exception as e:
                    semaphore.release()
                    print(f"任務(wù)執(zhí)行失敗: {e}")
        return wrapper
    return decorator

@inlined_async
def documented_workflow():
    """
    良好文檔化的異步工作流示例
    
    步驟：
    1. 數(shù)據(jù)獲取
    2. 數(shù)據(jù)驗(yàn)證
    3. 數(shù)據(jù)處理
    4. 結(jié)果保存
    """
    # 步驟1：數(shù)據(jù)獲取
    raw_data = yield Async(data_fetcher, (source_url,))
    
    # 步驟2：數(shù)據(jù)驗(yàn)證
    is_valid = yield Async(validate_data, (raw_data,))
    if not is_valid:
        raise ValueError("數(shù)據(jù)驗(yàn)證失敗")
    
    # 步驟3：數(shù)據(jù)處理
    processed_data = yield Async(process_data, (raw_data,))
    
    # 步驟4：結(jié)果保存
    yield Async(save_data, (processed_data, output_file))
    
    return processed_data