first commit

invalid_scheduler.py

@@ -0,0 +1,185 @@
+import requests
+import time
+from concurrent.futures import ThreadPoolExecutor, as_completed
+
+from main import DeviceAutomation 
+import globals.apis as apis
+import random
+from datetime import datetime, timedelta
+
+## --- 配置区 ---
+API_URL = "http://your-api-server.com/api/tasks" # 替换为真实的接口地址
+MAX_WORKERS = 3  # 最大并发线程数，建议根据网络带宽调整
+TIME_FILE_PATH = r"D:\time.txt" # 电脑D盘下的路径
+
+def parse_time_config():
+    """
+    解析 D:\time.txt 文件
+    返回格式: { "用户名": "16:40:20", ... }
+    """
+    time_map = {}
+    if not os.path.exists(TIME_FILE_PATH):
+        print(f"⚠️ 未找到配置文件: {TIME_FILE_PATH}")
+        return time_map
+
+    try:
+        with open(TIME_FILE_PATH, 'r', encoding='utf-8') as f:
+            for line in f:
+                line = line.strip()
+                if not line:
+                    continue
+                
+                # 使用正则匹配用户名、时间、状态
+                # 兼容 wangshun 16:40:20 true 和 cdwzq3liangchaoyong 15:06:35 true
+                match = re.search(r'(\w+)\s+(\d{2}:\d{2}:\d{2})\s+true', line)
+                if match:
+                    username = match.group(1)
+                    scheduled_time = match.group(2)
+                    time_map[username] = scheduled_time
+    except Exception as e:
+        print(f"❌ 解析 time.txt 失败: {e}")
+    
+    return time_map
+
+def get_remote_tasks():
+    """
+    从接口获取数据
+    """
+    try:
+        # 1. 先获取本地文件中的配置
+        local_times = parse_time_config()
+        if not local_times:
+            print("❌ time.txt 中没有有效的 true 任务或文件为空")
+            return {}
+            
+        # 2. 从服务器获取账户
+        accounts = apis.get_accounts_from_server("68c0dbfdb7cbcd616e7c5ab5")
+        if not accounts:
+            print("❌ 未从服务器获取到账户信息，终止流程")
+            return {}
+
+        # filtered_accounts = [account for account in accounts if account.get('is_ok') == 1]
+        # # print("✅ 获取账户信息成功", filtered_accounts)
+        # # current_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+
+        # # 从原始 accounts 数据中筛选有 device_ip 和 device_port 且不为 None 的账户
+        # device_dict = {}
+
+        # for account in filtered_accounts:
+        #     device_ip = account.get('device_ip')
+        #     device_port = account.get('device_port')
+            
+        #     # 检查 device_ip 和 device_port 是否都存在且不为 None
+        #     if device_ip and device_port:
+        #         # 拼接为 ip:port 格式
+        #         key = f"{device_ip}:{device_port}"
+        #         # 添加当前时间
+        #         # device_dict[key] = current_time
+        #          # 获取当前时间的 datetime 对象
+        #     current_datetime = datetime.now()
+            
+        #     # 生成1-2小时的随机时间
+        #     random_hours = random.uniform(1, 2)
+            
+        #     # 计算未来时间（datetime 对象可以加 timedelta）
+        #     future_datetime = current_datetime + timedelta(hours=random_hours)
+            
+        #     # 将 datetime 对象格式化为字符串
+        #     time_str = future_datetime.strftime("%Y-%m-%d %H:%M:%S")
+            
+        #     # 添加时间字符串到字典
+        #     device_dict[key] = time_str
+
+
+        # # 结果
+        # print(device_dict)
+        # return device_dict
+        device_dict = {}
+        today_str = datetime.now().strftime("%Y-%m-%d")
+
+        for account in accounts:
+            # 条件1: 接口返回 is_ok == 1
+            if account.get('is_ok') != 1:
+                continue
+            
+            username = account.get('username') # 假设接口中用户名的 key 是 username
+            device_ip = account.get('device_ip')
+            device_port = account.get('device_port')
+
+            # 条件2: 用户名在 time.txt 中且状态为 true (已经在 local_times 过滤过)
+            if username in local_times and device_ip and device_port:
+                key = f"{device_ip}:{device_port}"
+                # 拼接成完整的 YYYY-MM-DD HH:MM:SS
+                full_time_str = f"{today_str} {local_times[username]}"
+                device_dict[key] = full_time_str
+
+        print(f"✅ 匹配成功，待执行任务详情: {device_dict}")
+        return device_dict
+        # # 模拟数据供测试
+        # return {
+        #     "192.168.1.45:5555": "2026-02-03 10:20:00",
+        #     "192.168.1.100:5556": "2026-02-03 10:20:20",
+        #     "192.168.31.12:5557": "2026-02-03 10:21:00"
+        # }
+    except Exception as e:
+        print(f"❌ 获取接口任务失败: {e}")
+        return {}
+
+def run_task(address, target_time):
+    """
+    单个线程的任务包装器
+    """
+    # 格式化账号/设备名：确保带上端口号
+    device_address = address
+    
+    print(f"🕒 [等待/启动] 设备: {device_address} | 预定时间: {target_time}")
+    # 解析目标时间
+    target_datetime = datetime.strptime(target_time, "%Y-%m-%d %H:%M:%S")
+    current_datetime = datetime.now()
+    
+    # 计算等待时间
+    wait_seconds = (target_datetime - current_datetime).total_seconds()
+    
+    # 如果需要等待
+    if wait_seconds > 0:
+        print(f"⏳ [等待中] 设备: {device_address} | 等待时间: {wait_seconds:.2f}秒")
+        time.sleep(wait_seconds)
+        print(f"▶️ [开始执行] 设备: {device_address} | 当前时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
+    else:
+        print(f"▶️ [开始执行] 设备: {device_address} | 当前时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
+    
+    
+    try:
+        # 创建DeviceAutomation实例并执行上传逻辑
+        automation = DeviceAutomation(device_address)
+        result = automation.handle_app_state()
+        return f"✅ {device_address} 完成: {result}"
+    except Exception as e:
+        return f"❌ {device_address} 报错: {str(e)}"
+
+def monitor_center():
+    """调度中心"""
+    tasks_data = get_remote_tasks()
+    
+    if not tasks_data:
+        print("📭 接口未返回任何任务，程序退出。")
+        return
+
+    print(f"🗂️ 发现 {len(tasks_data)} 个待处理账号，开始建立线程池...")
+
+    # 使用线程池并发执行
+    with ThreadPoolExecutor(max_workers=MAX_WORKERS) as executor:
+        # 提交所有任务
+        future_to_device = {
+            executor.submit(run_task, acc, t): acc 
+            for acc, t in tasks_data.items()
+        }
+
+        # 实时打印完成情况
+        for future in as_completed(future_to_device):
+            print(future.result())
+
+if __name__ == "__main__":
+    print("🚀 自动化调度程序启动...")
+    monitor_center()
+    print("🏁 所有并发任务处理序列结束。")