Update 测绘站采集.py
This commit is contained in:
frxz751113
GitHub
+17
-351
@@ -174,21 +174,11 @@ def remove_duplicates_keep_order(folder_path):
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folder_path = 'playlist' # 替换为你的文件夹路径
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remove_duplicates_keep_order(folder_path)
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print('文件去重完成！移除存储的旧文件！')
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######################################################
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#####################################################
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######################################################################################################################
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#################################################################################
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###############检测playlist文件夹内所有txt文件内的组播
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###############检测playlist文件夹内所有txt文件内的组播
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###############检测playlist文件夹内所有txt文件内的组播
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import os
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import cv2
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import time
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from tqdm import tqdm
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import sys
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import requests # 新增requests库
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# 初始化字典以存储IP检测结果
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detected_ips = {}
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@@ -201,25 +191,19 @@ def get_ip_key(url):
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end = len(url)
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return url[start:end].strip()
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# 设置固定的文件夹路径
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folder_path = 'playlist'
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# 确保文件夹路径存在
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if not os.path.isdir(folder_path):
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print("指定的文件夹不存在。")
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sys.exit()
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# 遍历文件夹中的所有.txt文件
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for filename in os.listdir(folder_path):
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if filename.endswith('.txt'):
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file_path = os.path.join(folder_path, filename)
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# 读取文件内容
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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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# 准备写回文件
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with open(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 line in tqdm(lines, total=len(lines), desc=f"Processing {filename}"):
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parts = line.split(',', 1)
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if len(parts) >= 2:
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@@ -228,351 +212,33 @@ for filename in os.listdir(folder_path):
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url = url.strip()
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ip_key = get_ip_key(url)
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# 检查IP或域名是否已经被检测过
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if ip_key in detected_ips:
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# 如果之前检测成功，则写入该行
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if detected_ips[ip_key]['status'] == 'ok':
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output_file.write(line)
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continue # 无论之前检测结果如何，都不重新检测
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continue
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# 初始化帧计数器和成功标志
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frame_count = 0
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# 修改后的下载检测逻辑
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success = False
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# 尝试打开视频流
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cap = cv2.VideoCapture(url)
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start_time = time.time()
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while (time.time() - start_time) < 8:
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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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# 如果在8秒内读取到1帧以上，设置成功标志
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if frame_count >= 1:
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try:
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with requests.get(url, stream=True, timeout=8) as r: # 总超时8秒
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r.raise_for_status()
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downloaded = 0
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for chunk in r.iter_content(chunk_size=1024):
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if chunk: # 过滤保活帧
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downloaded += len(chunk)
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if downloaded >= 1024 * 1024: # 达到1024KB
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success = True
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break
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cap.release()
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if time.time() - start_time > 8: # 超时中断
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break
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except Exception as e:
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pass
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# 根据检测结果更新字典
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detected_ips[ip_key] = {'status': 'ok' if success else 'fail'}
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if success:
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detected_ips[ip_key] = {'status': 'ok'}
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output_file.write(line)
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else:
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detected_ips[ip_key] = {'status': 'fail'}
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# 打印检测结果
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for ip_key, result in detected_ips.items():
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print(f"IP Key: {ip_key}, Status: {result['status']}")
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######################################################################################################################
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######################################################################################################################
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# 获取远程直播源文件,打开文件并输出临时文件
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url = "https://raw.githubusercontent.com/frxz751113/AAAAA/refs/heads/main/IPTV/%E6%B1%87%E6%B1%87.txt" #源采集地址
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r = requests.get(url)
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open('综合源.txt','wb').write(r.content) #打开源文件并临时写入
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#简体转繁体#
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#简体转繁体
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# 创建一个OpenCC对象,指定转换的规则为繁体字转简体字
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converter = OpenCC('t2s.json')#繁转简
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#converter = OpenCC('s2t.json')#简转繁
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# 打开txt文件
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with open('综合源.txt', 'r', encoding='utf-8') as file:
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traditional_text = file.read()
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# 进行繁体字转简体字的转换
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simplified_text = converter.convert(traditional_text)
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# 将转换后的简体字写入txt文件
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with open('综合源.txt', 'w', encoding='utf-8') as file:
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file.write(simplified_text)
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#任务结束,删除不必要的过程文件#
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files_to_remove = ['组播源.txt', "TW.txt", "a.txt", "主.txt", "b.txt", "b1.txt", "港澳.txt"]
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for file in files_to_remove:
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if os.path.exists(file):
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os.remove(file)
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else: # 如果文件不存在,则提示异常并打印提示信息
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print(f"文件 {file} 不存在,跳过删除。")
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print("任务运行完毕,分类频道列表可查看文件夹内综合源.txt文件！")
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######################################################################################################################
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######################################################################################################################
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######################################################################################################################
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######################################################################################################################
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######################################################################################################################
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# 合并自定义频道文件,优选源整理
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# 假设filter_files是一个自定义函数，它返回playlist目录下所有.txt文件的路径列表
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def filter_files(directory, extension):
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return [f for f in os.listdir(directory) if f.endswith(extension)]
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# 获取playlist目录下的所有.txt文件
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files = filter_files('playlist', '.txt')
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# 打开输出文件
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with open("4.txt", "w", encoding="utf-8") as output:
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for file_path in files:
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with open(os.path.join('playlist', file_path), 'r', encoding="utf-8") as file:
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content = file.read()
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output.write(content + '\n\n')
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print("电视频道成功写入")
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#################文本排序
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# 打开原始文件读取内容,并写入新文件
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with open('4.txt', 'r', encoding='utf-8') as file:
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lines = file.readlines()
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# 定义一个函数,用于提取每行的第一个数字
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def extract_first_number(line):
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match = re.search(r'\d+', line)
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return int(match.group()) if match else float('inf')
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# 对列表中的行进行排序
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# 按照第一个数字的大小排列,如果不存在数字则按中文拼音排序
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sorted_lines = sorted(lines, key=lambda x: (not 'CCTV' in x, extract_first_number(x) if 'CCTV' in x else lazy_pinyin(x.strip())))
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# 将排序后的行写入新的utf-8编码的文本文件,文件名基于原文件名
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output_file_path = "sorted_" + os.path.basename(file_path)
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# 写入新文件
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with open('5.txt', "w", encoding="utf-8") as file:
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for line in sorted_lines:
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file.write(line)
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print(f"文件已排序并保存为: {output_file_path}")
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import cv2
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import time
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from tqdm import tqdm
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# 初始化酒店源字典
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detected_ips = {}
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# 存储文件路径
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file_path = "5.txt"
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output_file_path = "2.txt"
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def get_ip_key(url):
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"""从URL中提取IP地址,并构造一个唯一的键"""
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# 找到'//'到第三个'.'之间的字符串
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start = url.find('://') + 3 # '://'.length 是 3
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end = start
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dot_count = 0
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while dot_count < 3:
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end = url.find('.', end)
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if end == -1: # 如果没有找到第三个'.',就结束
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break
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dot_count += 1
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return url[start:end] if dot_count == 3 else None
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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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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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# 构造IP键
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ip_key = get_ip_key(url)
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if ip_key and ip_key in detected_ips:
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# 如果IP键已存在,根据之前的结果决定是否写入新文件
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if detected_ips[ip_key]['status'] == 'ok':
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output_file.write(line)
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elif ip_key: # 新IP键,进行检测
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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 < 200 and (time.time() - start_time) < 10:
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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 >= 200: #10秒内超过230帧则写入
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detected_ips[ip_key] = {'status': 'ok'}
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output_file.write(line) # 写入检测通过的行
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else:
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detected_ips[ip_key] = {'status': 'fail'}
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# 打印酒店源
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for ip_key, result in detected_ips.items():
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print(f"IP Key: {ip_key}, Status: {result['status']}")
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########################################################################################################################################################################################
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################################################################定义关键词分割规则
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def check_and_write_file(input_file, output_file, keywords):
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# 使用 split(', ') 来分割关键词
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keywords_list = keywords.split(', ')
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pattern = '|'.join(re.escape(keyword) for keyword in keywords_list)
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# 读取输入文件并提取包含关键词的行
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extracted_lines = []
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with open(input_file, 'r', encoding='utf-8') as file:
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for line in file:
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if "genre" not in line:
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if re.search(pattern, line):
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extracted_lines.append(line)
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# 如果至少提取到一行,写入头部信息和提取的行到输出文件
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if extracted_lines:
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with open(output_file, 'w', encoding='utf-8') as out_file:
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out_file.write(f"{keywords_list[0]},#genre#\n") # 写入头部信息
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out_file.writelines(extracted_lines) # 写入提取的行
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# 获取头部信息的大小
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header_size = len(f"{keywords_list[0]},#genre#\n")
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# 检查文件的总大小
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file_size = os.path.getsize(output_file)
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# 如果文件大小小于30字节（假设的最小文件大小）,删除文件
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if file_size < 200:
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os.remove(output_file)
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print(f"文件只包含头部信息,{output_file} 已被删除。")
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else:
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print(f"文件已提取关键词并保存为: {output_file}")
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else:
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print(f"未提取到关键词,不创建输出文件 {output_file}。")
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# 按类别提取关键词并写入文件
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check_and_write_file('2.txt', 'a.txt', keywords="央视频道, CCTV, CHC, 全球大片, 星光院线, 8K, 4K, 4k")
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check_and_write_file('2.txt', 'b.txt', keywords="卫视频道, 卫视, 凤凰, 星空")
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check_and_write_file('2.txt', 'c0.txt', keywords="组播剧场, 第一剧场, 怀旧剧场, 风云音乐, 风云剧场, 欢笑剧场, 都市剧场, 高清电影, 家庭影院, 动作电影, 影迷, 峨眉, 重温, 女性, 地理")
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check_and_write_file('2.txt', 'c.txt', keywords="组播剧场, 爱动漫, SiTV, 爱怀旧, 爱经典, 爱科幻, 爱青春, 爱悬疑, 爱幼教, 爱院线")
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check_and_write_file('2.txt', 'd.txt', keywords="北京频道, 北京")
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###############################################################################################################################################################################################################################
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##############################################################对生成的文件进行合并
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file_contents = []
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file_paths = ["a.txt", "b.txt", "c0.txt", "c.txt", "d.txt"] # 替换为实际的文件路径列表
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for file_path in file_paths:
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if os.path.exists(file_path):
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with open(file_path, 'r', encoding="utf-8") as file:
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content = file.read()
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file_contents.append(content)
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else: # 如果文件不存在,则提示异常并打印提示信息
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print(f"文件 {file_path} 不存在,跳过")
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# 写入合并后的文件
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with open("去重.txt", "w", encoding="utf-8") as output:
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output.write('\n'.join(file_contents))
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###############################################################################################################################################################################################################################
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##############################################################对生成的文件进行网址及文本去重复,避免同一个频道出现在不同的类中
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def remove_duplicates(input_file, output_file):
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# 用于存储已经遇到的URL和包含genre的行
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seen_urls = set()
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seen_lines_with_genre = set()
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# 用于存储最终输出的行
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output_lines = []
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# 打开输入文件并读取所有行
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with open(input_file, 'r', encoding='utf-8') as f:
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lines = f.readlines()
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print("去重前的行数：", len(lines))
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# 遍历每一行
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for line in lines:
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# 使用正则表达式查找URL和包含genre的行,默认最后一行
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urls = re.findall(r'[https]?[http]?[P2p]?[mitv]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', line)
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genre_line = re.search(r'\bgenre\b', line, re.IGNORECASE) is not None
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# 如果找到URL并且该URL尚未被记录
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if urls and urls[0] not in seen_urls:
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seen_urls.add(urls[0])
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output_lines.append(line)
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# 如果找到包含genre的行,无论是否已被记录,都写入新文件
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if genre_line:
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output_lines.append(line)
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# 将结果写入输出文件
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with open(output_file, 'w', encoding='utf-8') as f:
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f.writelines(output_lines)
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print("去重后的行数：", len(output_lines))
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# 使用方法
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remove_duplicates('去重.txt', '分类.txt')
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#从整理好的文本中进行特定关键词替换以规范频道名#
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for line in fileinput.input("分类.txt", inplace=True): #打开临时文件原地替换关键字
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line = line.replace("CCTV1,", "CCTV1-综合,")
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line = line.replace("CCTV2,", "CCTV2-财经,")
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line = line.replace("CCTV3,", "CCTV3-综艺,")
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line = line.replace("CCTV4,", "CCTV4-国际,")
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line = line.replace("CCTV5,", "CCTV5-体育,")
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line = line.replace("CCTV5+,", "CCTV5-体育plus,")
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line = line.replace("CCTV6,", "CCTV6-电影,")
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line = line.replace("CCTV7,", "CCTV7-军事,")
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line = line.replace("CCTV8,", "CCTV8-电视剧,")
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line = line.replace("CCTV9,", "CCTV9-纪录,")
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line = line.replace("CCTV10,", "CCTV10-科教,")
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line = line.replace("CCTV11,", "CCTV11-戏曲,")
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line = line.replace("CCTV11+,", "CCTV11-戏曲,")
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line = line.replace("CCTV12,", "CCTV12-社会与法,")
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line = line.replace("CCTV13,", "CCTV13-新闻,")
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line = line.replace("CCTV14,", "CCTV14-少儿,")
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line = line.replace("CCTV15,", "CCTV15-音乐,")
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line = line.replace("CCTV16,", "CCTV16-奥林匹克,")
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line = line.replace("CCTV17,", "CCTV17-农业农村,")
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line = line.replace("CHC", "")
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print(line, end="")
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||||
# 打开文档并读取所有行
|
||||
with open('分类.txt', 'r', encoding="utf-8") as file:
|
||||
lines = file.readlines()
|
||||
# 使用列表来存储唯一的行的顺序
|
||||
unique_lines = []
|
||||
seen_lines = set()
|
||||
# 遍历每一行，如果是新的就加入unique_lines
|
||||
for line in lines:
|
||||
if line not in seen_lines:
|
||||
unique_lines.append(line)
|
||||
seen_lines.add(line)
|
||||
|
||||
# 将唯一的行写入第一个文件
|
||||
with open('组播优选.txt', 'w', encoding="utf-8") as file:
|
||||
for line in unique_lines:
|
||||
file.write(line) # 确保每行后面有换行符 + '\n'
|
||||
# 将唯一的行追加到第二个文件
|
||||
#with open('综合源.txt', 'a', encoding="utf-8") as file:
|
||||
#for line in unique_lines:
|
||||
#file.write(line) # 确保每行后面有换行符 + '\n'
|
||||
|
||||
# 定义要排除的关键词列表
|
||||
excluded_keywords = ['CCTV', '卫视', '关键词3']
|
||||
# 定义例外关键词列表，即使它们在排除列表中，也应该被保留
|
||||
exception_keywords = ['4K', '8K', '例外关键词']
|
||||
# 打开原始文本文件并读取内容
|
||||
with open('组播优选.txt', 'r', encoding='utf-8') as file:
|
||||
lines = file.readlines()
|
||||
# 过滤掉包含关键词的行，但是允许含有例外关键词的行
|
||||
filtered_lines = []
|
||||
for line in lines:
|
||||
# 检查行是否包含排除关键词
|
||||
contains_excluded = any(keyword in line for keyword in excluded_keywords)
|
||||
# 检查行是否包含例外关键词
|
||||
contains_exception = any(keyword in line for keyword in exception_keywords)
|
||||
# 如果行包含排除关键词，但是不包含例外关键词，则过滤掉该行
|
||||
if contains_excluded and not contains_exception:
|
||||
continue
|
||||
else:
|
||||
# 如果行不包含排除关键词，或者同时包含排除关键词和例外关键词，则保留该行
|
||||
filtered_lines.append(line)
|
||||
# 将过滤后的内容追加写入新的文本文件
|
||||
with open('综合源.txt', 'a', encoding='utf-8') as file:
|
||||
file.writelines(filtered_lines)
|
||||
|
||||
#从整理好的文本中进行特定关键词替换以规范频道名#
|
||||
for line in fileinput.input("综合源.txt", inplace=True): #打开临时文件原地替换关键字
|
||||
line = line.replace("CCTV164K", "CCTV16-4K")
|
||||
line = line.replace("CCTV4K", "CCTV-4K")
|
||||
print(line, end="")
|
||||
|
||||
|
||||
|
||||
################################################################################################任务结束,删除不必要的过程文件
|
||||
files_to_remove = ['去重.txt', '分类.txt', "2.txt", "4.txt", "5.txt", "a.txt", "b.txt", "c0.txt", "c.txt", "d.txt"]
|
||||
for file in files_to_remove:
|
||||
if os.path.exists(file):
|
||||
os.remove(file)
|
||||
else: # 如果文件不存在,则提示异常并打印提示信息
|
||||
print(f"文件 {file} 不存在,跳过删除。")
|
||||
print("任务运行完毕,分类频道列表可查看文件夹内综合源.txt文件！")
|
||||
# 打印酒店源
|
||||
# 打印检测结果（保持不变）
|
||||
for ip_key, result in detected_ips.items():
|
||||
print(f"IP Key: {ip_key}, Status: {result['status']}")
|
||||
|
||||
Reference in New Issue
Block a user