Update GAT.py
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@@ -155,80 +155,53 @@ with open('gat.txt', 'w', encoding='utf-8') as new_file:
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# 函数:获取视频分辨率
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def get_video_resolution(video_path, timeout=0.8):
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cap = cv2.VideoCapture(video_path)
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if not cap.isOpened():
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return None
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width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
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height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
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cap.release()
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return (width, height)
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import cv2
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import time
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from tqdm import tqdm
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# 函数:处理每一行
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def process_line(line, output_file, order_list, valid_count, invalid_count, total_lines):
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parts = line.strip().split(',')
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if '#genre#' in line:
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# 如果行包含 '#genre#',直接写入新文件
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with threading.Lock():
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# 存储文件路径
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file_path = "gat.txt"
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output_file_path = "gat.txt"
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# 打开输入文件和输出文件
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with open(file_path, 'r', encoding='utf-8') as file:
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lines = file.readlines()
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# 获取总行数用于进度条
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total_lines = len(lines)
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# 写入通过检测的行到新文件
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with open(output_file_path, 'w', encoding='utf-8') as output_file:
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# 使用tqdm显示进度条
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for i, line in tqdm(enumerate(lines), total=total_lines, desc="Processing", unit='line'):
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# 检查是否包含 'genre'
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if 'genre' in line:
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output_file.write(line)
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print(f"已写入genre行:{line.strip()}")
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elif len(parts) == 2:
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channel_name, channel_url = parts
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resolution = get_video_resolution(channel_url, timeout=8)
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if resolution and resolution[1] >= 720: # 检查分辨率是否大于等于720p
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with threading.Lock():
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output_file.write(f"{channel_name}[{resolution[1]}p],{channel_url}\n")
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order_list.append((channel_name, resolution[1], channel_url))
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valid_count[0] += 1
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print(f"Channel '{channel_name}' accepted with resolution {resolution[1]}p at URL {channel_url}.")
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else:
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invalid_count[0] += 1
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with threading.Lock():
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print(f"有效: {valid_count[0]}, 无效: {invalid_count[0]}, 总数: {total_lines}, 进度: {(valid_count[0] + invalid_count[0]) / total_lines * 100:.2f}%")
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continue
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# 分割频道名称和URL,并去除空白字符
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parts = line.split(',', 1)
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if len(parts) == 2:
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channel_name, url = parts
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channel_name = channel_name.strip()
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url = url.strip()
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# 进行检测
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cap = cv2.VideoCapture(url)
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start_time = time.time()
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frame_count = 0
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# 尝试捕获10秒内的帧
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while frame_count < 40 and (time.time() - start_time) < 3:
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ret, frame = cap.read()
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if not ret:
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break
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frame_count += 1
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# 释放资源
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cap.release()
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# 根据捕获的帧数判断状态并记录结果
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if frame_count >= 40: # 10秒内超过200帧则写入
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output_file.write(line) # 写入检测通过的行
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# 函数:多线程工作
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def worker(task_queue, output_file, order_list, valid_count, invalid_count, total_lines):
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while True:
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try:
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line = task_queue.get(timeout=1)
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process_line(line, output_file, order_list, valid_count, invalid_count, total_lines)
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except Queue.Empty:
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break
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finally:
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task_queue.task_done()
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# 无需再打印酒店源,因为这里是对所有URL进行检测,而不是基于IP分组检测
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# 主函数
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def main(source_file_path, output_file_path):
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order_list = []
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valid_count = [0]
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invalid_count = [0]
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task_queue = Queue()
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# 读取源文件
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with open(source_file_path, 'r', encoding='utf-8') as source_file:
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lines = source_file.readlines()
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with open(output_file_path + '.txt', 'w', encoding='utf-8') as output_file:
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# 创建线程池
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with ThreadPoolExecutor(max_workers=64) as executor:
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# 创建并启动工作线程
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for _ in range(64):
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executor.submit(worker, task_queue, output_file, order_list, valid_count, invalid_count, len(lines))
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# 将所有行放入队列
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for line in lines:
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task_queue.put(line)
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# 等待队列中的所有任务完成
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task_queue.join()
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print(f"任务完成,有效频道数:{valid_count[0]}, 无效频道数:{invalid_count[0]}, 总频道数:{len(lines)}")
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if __name__ == "__main__":
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source_file_path = 'gat.txt' # 替换为你的源文件路径
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output_file_path = 'gat' # 替换为你的输出文件路径,不要后缀名
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main(source_file_path, output_file_path)
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with open('gat.txt', 'r', encoding='UTF-8') as f:
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