From e655aad4f6ac4bc1069ac1ecf715f1a6f72414bf Mon Sep 17 00:00:00 2001 From: frxz751113 <156018267+frxz751113@users.noreply.github.com> Date: Tue, 6 May 2025 15:26:18 +0800 Subject: [PATCH] =?UTF-8?q?Update=20=E6=B5=8B=E7=BB=98=E7=AB=99=E9=87=87?= =?UTF-8?q?=E9=9B=86.py?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- py/测绘站采集.py | 1111 ++++++++++++++++++++++++++-------------------- 1 file changed, 620 insertions(+), 491 deletions(-) diff --git a/py/测绘站采集.py b/py/测绘站采集.py index f691681..6c3b9f7 100644 --- a/py/测绘站采集.py +++ b/py/测绘站采集.py @@ -1,15 +1,10 @@ -#本程序主体构造如下 -#搜素有效IP并生成文件追加写入到相应列表文件后去重 -#检测组播列表所有文件中IP有效性 -#合并整理自用直播源，与组播无关 -#合并所有组播文件并过滤严重掉帧的视频以保证流畅性 -#提取检测后的频道进行分类输出优选组播源 -#提取优选组播源中分类追加到自用直播源 -#后续整理 -#没了！！！！！！！！！！！！ +from lxml import etree import time +import datetime from datetime import datetime, timedelta # 确保 timedelta 被导入 import concurrent.futures +#from selenium import webdriver +#from selenium.webdriver.chrome.options import Options from concurrent.futures import ThreadPoolExecutor import requests import re @@ -18,7 +13,6 @@ import threading from queue import Queue import queue from datetime import datetime -import replace import fileinput from tqdm import tqdm from pypinyin import lazy_pinyin @@ -28,436 +22,479 @@ import cv2 from bs4 import BeautifulSoup from urllib.parse import urlparse from translate import Translator # 导入Translator类,用于文本翻译 -# -*- coding: utf-8 -*- -import random -from fake_useragent import UserAgent # 需要先安装：pip install fake-useragent - -# 创建输出目录 -os.makedirs('playlist', exist_ok=True) - -# 配置参数 -DELAY_RANGE = (3, 6) # 随机延迟时间范围（秒） -MAX_RETRIES = 3 # 最大重试次数 -REQUEST_TIMEOUT = 10 # 请求超时时间（秒） - -def get_random_header(): - """生成随机请求头""" - return { - 'User-Agent': UserAgent().random, - 'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8', - 'Referer': 'https://fofa.info/' - } - -def safe_request(url): - """带重试机制的请求函数""" - for attempt in range(MAX_RETRIES): - try: - # 随机延迟防止被封 - time.sleep(random.uniform(*DELAY_RANGE)) - - response = requests.get( - url, - headers=get_random_header(), - timeout=REQUEST_TIMEOUT - ) - - # 检查HTTP状态码 - if response.status_code == 429: - wait_time = 30 # 遇到反爬等待30秒 - print(f"遇到反爬机制，等待{wait_time}秒后重试") - time.sleep(wait_time) - continue - - response.raise_for_status() - return response.text - - except Exception as e: - print(f"请求失败（第{attempt+1}次重试）: {str(e)}") - if attempt == MAX_RETRIES - 1: - raise - -def validate_video(url, mcast): - """验证视频流有效性""" - video_url = f"{url}/rtp/{mcast}" - print(f"正在验证: {video_url}") - +## 定义txt文件的URL列表 +urls = [ + 'https://dimaston.github.io/live.m3u', #假m3u + 'https://raw.githubusercontent.com/xiongjian83/TvBox/refs/heads/main/live.txt', + 'https://raw.github.com/ddhola/file/d7afb504b1ba4fef31813e1166cb892215a9c063/0609test', + 'https://raw.github.com/vbskycn/iptv/2738b3bec8c298f57e0e2052b155846ab6ea3787/dsyy/hd.txt', + 'https://raw.github.com/frxz751113/AAAAA/main/IPTV/TW.txt', + 'https://raw.github.com/ljlfct01/ljlfct01.github.io/main/list.%E8%87%AA%E7%94%A8', + 'https://notabug.org/qcfree/TVBox-api/raw/main/live.txt', #通用源 + 'https://raw.github.com/KAN314go/A/e81a1c22cd1b9f459bc363bd916c13133e235510/tv/%E5%AE%89%E5%8D%9A8K.txt', + 'https://gitlab.com/tvtg/vip/-/raw/main/log.txt', + 'https://raw.github.com/frxz751113/IPTVzb1/main/%E7%BB%BC%E5%90%88%E6%BA%90.txt', + 'https://raw.github.com/ssili126/tv/main/itvlist.txt', + 'https://raw.github.com/Supprise0901/TVBox_live/main/live.txt', + 'https://raw.github.com/Guovin/TV/gd/result.txt', + 'https://raw.github.com/gaotianliuyun/gao/master/list.txt', + 'https://gitee.com/xxy002/zhiboyuan/raw/master/zby.txt', + 'https://raw.github.com/mlvjfchen/TV/main/iptv_list.txt', + 'https://raw.github.com/fenxp/iptv/main/live/tvlive.txt', + 'https://raw.github.com/zwc456baby/iptv_alive/master/live.txt', + 'https://gitlab.com/p2v5/wangtv/-/raw/main/lunbo.txt', + 'https://raw.github.com/PizazzGY/TVBox/main/live.txt', + 'https://gitcode.net/MZ011/BHJK/-/raw/master/BHZB1.txt', + 'https://raw.github.com/vbskycn/iptv/master/tv/iptv4.txt', + 'https://raw.github.com/junge3333/juds6/main/yszb1.txt', + 'https://raw.github.com/zzmaze/iptv/main/iptv.txt', + 'https://raw.github.com/kimwang1978/collect-tv-txt/main/others_output.txt', + 'https://raw.github.com/newrecha/TVBOX/5cdd7dcc228f14e4c7f343278e330481aae84eee/live/free.txt', + 'https://bbs.ysctv.cn/tv/live.txt', + 'https://axzzz-my.sharepoint.com/personal/axzzzpan4_axzzz_top/_layouts/15/download.aspx?UniqueId=a357e310-4e3d-45ee-aa68-6913ec533fcc&Translate=false&tempauth=v1.eyJzaXRlaWQiOiIzZGU4M2VmZS0xYWNlLTQ1YWEtODVhNS02YmVlMWM4MTVhZjMiLCJhcHBfZGlzcGxheW5hbWUiOiJBeHp6euS6keebmChvZDQpIiwiYXBwaWQiOiI2NjM3NjZiNi1kYjgwLTQwZjYtYjRkMi1kNWM2NDY0NmQxMjYiLCJhdWQiOiIwMDAwMDAwMy0wMDAwLTBmZjEtY2UwMC0wMDAwMDAwMDAwMDAvYXh6enotbXkuc2hhcmVwb2ludC5jb21AYzdhMzU1YTUtODgxMS00YzQwLWI1NTktMDk0ZDIzMDMxMjdiIiwiZXhwIjoiMTcyNzkyMjY5MCJ9.CgoKBHNuaWQSAjY0EgsI0ITAwqTVsT0QBRoOMjAuMTkwLjE0NC4xNzEqLGpUa2s3dW1UWFJxYUdMbm9KSVdYS28wbzZnUjJFSWdHemRmcGlpNkliSVk9MJQBOAFCEKFWItxKYAAw1b_et5n_RcNKEGhhc2hlZHByb29mdG9rZW5yKTBoLmZ8bWVtYmVyc2hpcHwxMDAzMjAwMzJjNzIwZWQ2QGxpdmUuY29tegEyggESCaVVo8cRiEBMEbVZCU0jAxJ7kgEEcGFuNJoBBUF4enp6ogETYXh6enpwYW40QGF4enp6LnRvcKoBEDEwMDMyMDAzMkM3MjBFRDayAQ5hbGxmaWxlcy53cml0ZcgBAQ._ZmDMLJ917RtVteaBChKC03v2IfufJb1x2SSLpDihu4&ApiVersion=2.0', + 'https://d.kstore.space/download/8209/港澳台终极版.txt', + 'http://wp.wadg.pro/down.php/c7a364c3b23d0b7d3b01e9e731414efc.txt;', + 'https://aiwoa2003.oss-cn-hangzhou.aliyuncs.com/%E5%A4%A9%E5%91%BD%E4%BA%BA.txt', + 'https://fs-im-kefu.7moor-fs1.com/ly/4d2c3f00-7d4c-11e5-af15-41bf63ae4ea0/1715581924111/live1.txt', + 'https://gitea.moe/xiangjiao-ge/yifa169/raw/branch/main/yiyifafa.txt', + 'https://d.kstore.space/download/3701/%E8%8A%B8%E6%B1%90%E7%94%B5%E8%A7%86.txt', + 'https://bbs.ysctv.cn/tv/live.txt', + 'https://d.kstore.space/download/8209/%E6%B8%AF%E6%BE%B3%E5%8F%B0%E7%BB%88%E6%9E%81%E7%89%88.txt', + 'https://fs-im-kefu.7moor-fs1.com/ly/4d2c3f00-7d4c-11e5-af15-41bf63ae4ea0/1724505579710/%E6%80%BB%E7%BB%9F%E7%94%B5%E8%A7%8627.txt', + 'https://raw.bgithub.xyz/luoye20230624/NETZB/6d8798a6a9aef8fce48597b283011e123e0caa2f/%E7%BB%BC%E5%90%88%E6%BA%90.txt', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '' +] +# 合并文件的函数 +def merge_txt_files(urls, output_filename='汇总.txt'): try: - # 发送请求，尝试下载 1 千字节的数据 - response = requests.get(video_url, headers=get_random_header(), timeout=REQUEST_TIMEOUT, stream=True) - response.raise_for_status() + with open(output_filename, 'w', encoding='utf-8') as outfile: + for url in urls: + try: + response = requests.get(url) + response.raise_for_status() # 确保请求成功 + # 尝试将响应内容解码为UTF-8，如果失败则尝试其他编码 + try: + content = response.content.decode('utf-8') + except UnicodeDecodeError: + content = response.content.decode('gbk') # 尝试GBK编码 + outfile.write(content + '\n') + except requests.RequestException as e: + print(f'Error downloading {url}: {e}') + except IOError as e: + print(f'Error writing to file: {e}') + +# 调用函数 +merge_txt_files(urls) + + - content_length = 0 - for chunk in response.iter_content(chunk_size=1024): - if chunk: - content_length += len(chunk) - if content_length >= 64: - break - return content_length >= 16 - - except Exception as e: - print(f"视频验证异常: {str(e)}") - return False - -def main(): - # 获取需要处理的文件列表 - files = [f.split('.')[0] for f in os.listdir('rtp') if f.endswith('.txt')] - print(f"待处理频道列表: {files}") - - for filename in files: - province_isp = filename.split('_') - if len(province_isp) != 2: - continue - - province, isp = province_isp - print(f"\n正在处理: {province}{isp}") - - # 读取组播地址 - try: - with open(f'rtp/{filename}.txt', 'r', encoding='utf-8') as f: - mcast = f.readline().split('rtp://')[1].split()[0].strip() - except Exception as e: - print(f"文件读取失败: {str(e)}") - continue - - # 构造搜索请求 - search_txt = f'"udpxy" && country="CN" && region="{province}"' - encoded_query = base64.b64encode(search_txt.encode()).decode() - search_url = f'https://fofa.info/result?qbase64={encoded_query}' - - # 执行搜索 - try: - html = safe_request(search_url) - except Exception as e: - print(f"搜索失败: {str(e)}") - continue - - # 解析搜索结果，修改正则表达式以匹配IP和域名 - soup = BeautifulSoup(html, 'html.parser') - pattern = re.compile(r"http://(?:\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}|\w[\w.-]*\w):\d+") - found_urls = set(pattern.findall(html)) - print(f"找到{len(found_urls)}个有效地址") - - # 验证地址有效性 - valid_urls = [url for url in found_urls if validate_video(url, mcast)] - print(f"验证通过{len(valid_urls)}个有效地址") - - # 生成播放列表 - if valid_urls: - output_file = f'playlist/{province}{isp}.txt' - with open(f'rtp/{filename}.txt', 'r') as src, open(output_file, 'w') as dst: - original_content = src.read() - for url in valid_urls: - modified = original_content.replace('rtp://', f'{url}/rtp/') - dst.write(modified + '\n') - print(f"已生成播放列表: {output_file}") - -if __name__ == '__main__': - main() -print('对playlist文件夹里面的所有txt文件进行去重处理') -def remove_duplicates_keep_order(folder_path): - for filename in os.listdir(folder_path): - if filename.endswith('.txt'): - file_path = os.path.join(folder_path, filename) - lines = set() - unique_lines = [] - with open(file_path, 'r', encoding='utf-8') as file: - for line in file: - if line not in lines: - unique_lines.append(line) - lines.add(line) - # 将保持顺序的去重后的内容写回原文件 - with open(file_path, 'w', encoding='utf-8') as file: - file.writelines(unique_lines) -# 使用示例 -folder_path = 'playlist' # 替换为你的文件夹路径 -remove_duplicates_keep_order(folder_path) -print('文件去重完成！移除存储的旧文件！') - -###################################################### -##################################################### -###################################################################################################################### - -################################################################################# -###############检测playlist文件夹内所有txt文件内的组播 -###############检测playlist文件夹内所有txt文件内的组播 -###############检测playlist文件夹内所有txt文件内的组播 - -import os -import cv2 -import time -from tqdm import tqdm -import sys - -# 初始化字典以存储IP检测结果 -detected_ips = {} - -def get_ip_key(url): - """从URL中提取IP地址或域名，并构造一个唯一的键""" - start = url.find('://') + 3 - end = url.find('/', start) - if end == -1: - end = len(url) - return url[start:end].strip() - -# 设置固定的文件夹路径 -folder_path = 'playlist' - -# 确保文件夹路径存在 -if not os.path.isdir(folder_path): - print("指定的文件夹不存在。") - sys.exit() - -# 遍历文件夹中的所有.txt文件 -for filename in os.listdir(folder_path): - if filename.endswith('.txt'): - file_path = os.path.join(folder_path, filename) - # 读取文件内容 - with open(file_path, 'r', encoding='utf-8') as file: - lines = file.readlines() - - # 准备写回文件 - with open(file_path, 'w', encoding='utf-8') as output_file: - # 使用 tqdm 显示进度条 - for line in tqdm(lines, total=len(lines), desc=f"Processing {filename}"): - parts = line.split(',', 1) - if len(parts) >= 2: - channel_name, url = parts - channel_name = channel_name.strip() - url = url.strip() - ip_key = get_ip_key(url) - - # 检查IP或域名是否已经被检测过 - if ip_key in detected_ips: - # 如果之前检测成功，则写入该行 - if detected_ips[ip_key]['status'] == 'ok': - output_file.write(line) - continue # 无论之前检测结果如何，都不重新检测 - - # 初始化帧计数器和成功标志 - frame_count = 0 - success = False - # 尝试打开视频流 - cap = cv2.VideoCapture(url) - start_time = time.time() - while (time.time() - start_time) < 8: - ret, frame = cap.read() - if not ret: - break - frame_count += 1 - # 如果在8秒内读取到1帧以上，设置成功标志 - if frame_count >= 1: - success = True - break - cap.release() - - # 根据检测结果更新字典 - if success: - detected_ips[ip_key] = {'status': 'ok'} - output_file.write(line) - else: - detected_ips[ip_key] = {'status': 'fail'} - -# 打印检测结果 -for ip_key, result in detected_ips.items(): - print(f"IP Key: {ip_key}, Status: {result['status']}") -###################################################################################################################### -###################################################################################################################### - -# 获取远程直播源文件,打开文件并输出临时文件 -url = "https://raw.githubusercontent.com/frxz751113/AAAAA/refs/heads/main/IPTV/%E6%B1%87%E6%B1%87.txt" #源采集地址 -r = requests.get(url) -open('综合源.txt','wb').write(r.content) #打开源文件并临时写入 -#简体转繁体# #简体转繁体 # 创建一个OpenCC对象,指定转换的规则为繁体字转简体字 converter = OpenCC('t2s.json')#繁转简 #converter = OpenCC('s2t.json')#简转繁 # 打开txt文件 -with open('综合源.txt', 'r', encoding='utf-8') as file: +with open('汇总.txt', 'r', encoding='utf-8') as file: traditional_text = file.read() # 进行繁体字转简体字的转换 simplified_text = converter.convert(traditional_text) # 将转换后的简体字写入txt文件 -with open('综合源.txt', 'w', encoding='utf-8') as file: +with open('汇总.txt', 'w', encoding='utf-8') as file: file.write(simplified_text) - -#任务结束,删除不必要的过程文件# -files_to_remove = ['组播源.txt', "TW.txt", "a.txt", "主.txt", "b.txt", "b1.txt", "港澳.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！") - - - -###################################################################################################################### -###################################################################################################################### -###################################################################################################################### -###################################################################################################################### -###################################################################################################################### -# 合并自定义频道文件,优选源整理 -# 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 -def filter_files(directory, extension): - return [f for f in os.listdir(directory) if f.endswith(extension)] -# 获取playlist目录下的所有.txt文件 -files = filter_files('playlist', '.txt') -# 打开输出文件 -with open("4.txt", "w", encoding="utf-8") as output: - for file_path in files: - with open(os.path.join('playlist', file_path), 'r', encoding="utf-8") as file: - content = file.read() - output.write(content + '\n\n') -print("电视频道成功写入") - -#################文本排序 -# 打开原始文件读取内容,并写入新文件 -with open('4.txt', 'r', encoding='utf-8') as file: +with open('汇总.txt', 'r', encoding="utf-8") as file: + # 读取所有行并存储到列表中 lines = file.readlines() -# 定义一个函数,用于提取每行的第一个数字 -def extract_first_number(line): - match = re.search(r'\d+', line) - return int(match.group()) if match else float('inf') -# 对列表中的行进行排序 -# 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 -sorted_lines = sorted(lines, key=lambda x: (not 'CCTV' in x, extract_first_number(x) if 'CCTV' in x else lazy_pinyin(x.strip()))) -# 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 -output_file_path = "sorted_" + os.path.basename(file_path) -# 写入新文件 -with open('5.txt', "w", encoding="utf-8") as file: - for line in sorted_lines: - file.write(line) -print(f"文件已排序并保存为: {output_file_path}") +#定义替换规则的字典对频道名替换 +replacements = { + "CCTV-1高清测试": "", + "CCTV-2高清测试": "", + "CCTV-7高清测试": "", + "CCTV-10高清测试": "", + "中央": "CCTV", + "高清""": "", + "HD": "", + "标清": "", + "amc": "AMC", + "CCTV1综合": "CCTV1", + "CCTV2财经": "CCTV2", + "CCTV3综艺": "CCTV3", + "国际": "", + "5体育": "5", + "6电影": "6", + "军农": "", + "8影视": "8", + "9纪录": "9", + "0科教": "0", + "2社会与法": "2", + "3新闻": "3", + "4少儿": "4", + "5音乐": "5", + "": "", + "": "", + "": "", + "": "", + "": "", + "": "", + "咪咕": "", + "": "", + "超清": "", + "频道": "", + "CCTV-": "CCTV", + "CCTV_": "CCTV", + " ": "", + "CCTV风云剧场": "风云剧场", + "CCTV第一剧场": "第一剧场", + "CCTV怀旧剧场": "怀旧剧场", + "熊猫影院": "熊猫电影", + "熊猫爱生活": "熊猫生活", + "爱宠宠物": "宠物生活", + "[ipv6]": "", + "专区": "", + "卫视超": "卫视", + "CCTV风云剧场": "风云剧场", + "CCTV第一剧场": "第一剧场", + "CCTV怀旧剧场": "怀旧剧场", + "IPTV": "", + "PLUS": "+", + "＋": "+", + "(": "", + ")": "", + "CAV": "", + "美洲": "", + "北美": "", + "12M": "", + "高清测试CCTV-1": "", + "高清测试CCTV-2": "", + "高清测试CCTV-7": "", + "高清测试CCTV-10": "", + "LD": "", + "HEVC20M": "", + "S,": ",", + "测试": "", + "CCTW": "CCTV", + "试看": "", + "测试": "", + " ": "", + "测试cctv": "CCTV", + "CCTV1综合": "CCTV1", + "CCTV2财经": "CCTV2", + "CCTV3综艺": "CCTV3", + "CCTV4国际": "CCTV4", + "CCTV4中文国际": "CCTV4", + "CCTV4欧洲": "CCTV4", + "CCTV5体育": "CCTV5", + "CCTV5+体育": "CCTV5+", + "CCTV6电影": "CCTV6", + "CCTV7军事": "CCTV7", + "CCTV7军农": "CCTV7", + "CCTV7农业": "CCTV7", + "CCTV7国防军事": "CCTV7", + "CCTV8电视剧": "CCTV8", + "CCTV8影视": "CCTV8", + "CCTV8纪录": "CCTV9", + "CCTV9记录": "CCTV9", + "CCTV9纪录": "CCTV9", + "CCTV10科教": "CCTV10", + "CCTV11戏曲": "CCTV11", + "CCTV12社会与法": "CCTV12", + "CCTV13新闻": "CCTV13", + "CCTV新闻": "CCTV13", + "CCTV14少儿": "CCTV14", + "央视14少儿": "CCTV14", + "CCTV少儿超": "CCTV14", + "CCTV15音乐": "CCTV15", + "CCTV音乐": "CCTV15", + "CCTV16奥林匹克": "CCTV16", + "CCTV17农业农村": "CCTV17", + "CCTV17军农": "CCTV17", + "CCTV17农业": "CCTV17", + "CCTV5+体育赛视": "CCTV5+", + "CCTV5+赛视": "CCTV5+", + "CCTV5+体育赛事": "CCTV5+", + "CCTV5+赛事": "CCTV5+", + "CCTV5+体育": "CCTV5+", + "CCTV5赛事": "CCTV5+", + "凤凰中文台": "凤凰中文", + "凤凰资讯台": "凤凰资讯", + "(CCTV4K测试）": "CCTV4K", + "上海东方卫视": "上海卫视", + "东方卫视": "上海卫视", + "内蒙卫视": "内蒙古卫视", + "福建东南卫视": "东南卫视", + "广东南方卫视": "南方卫视", + "湖南金鹰卡通": "金鹰卡通", + "炫动卡通": "哈哈炫动", + "卡酷卡通": "卡酷少儿", + "卡酷动画": "卡酷少儿", + "BRTVKAKU少儿": "卡酷少儿", + "优曼卡通": "优漫卡通", + "优曼卡通": "优漫卡通", + "嘉佳卡通": "佳嘉卡通", + "世界地理": "地理世界", + "CCTV世界地理": "地理世界", + "BTV北京卫视": "北京卫视", + "BTV冬奥纪实": "冬奥纪实", + "东奥纪实": "冬奥纪实", + "卫视台": "卫视", + "湖南电视台": "湖南卫视", + "少儿科教": "少儿", + "影视剧": "影视", + "电视剧": "影视", + "CCTV1CCTV1": "CCTV1", + "CCTV2CCTV2": "CCTV2", + "CCTV7CCTV7": "CCTV7", + "CCTV10CCTV10": "CCTV10" +} +with open('汇总.txt', 'w', encoding='utf-8') as new_file: + for line in lines: + # 去除行尾的换行符 + line = line.rstrip('\n') + # 分割行，获取逗号前的字符串 + parts = line.split(',', 1) + if len(parts) > 0: + # 替换逗号前的字符串 + before_comma = parts[0] + for old, new in replacements.items(): + before_comma = before_comma.replace(old, new) + # 将替换后的逗号前部分和逗号后部分重新组合成一行，并写入新文件 + new_line = f'{before_comma},{parts[1]}\n' if len(parts) > 1 else f'{before_comma}\n' + new_file.write(new_line) + + + + + + +# 打开文本文件进行读取 +def read_and_process_file(input_filename, output_filename, encodings=['utf-8', 'gbk']): + for encoding in encodings: + try: + with open(input_filename, 'r', encoding=encoding) as file: + lines = file.readlines() + break + except UnicodeDecodeError: + continue + else: + raise ValueError(f"Cannot decode file '{input_filename}' with any of the provided encodings") + + with open(output_filename, 'w', encoding='utf-8') as outfile: + for line in lines: + if '$' in line: + processed_line = line.split('$')[0].rstrip('\n') + outfile.write(processed_line + '\n') + else: + outfile.write(line) + +# 调用函数 +read_and_process_file('汇总.txt', '汇总.txt') # 修改输出文件名以避免覆盖原始文件 + +###################################################################去重##################################### +def remove_duplicates(input_file, output_file): + # 用于存储已经遇到的URL和包含genre的行 + seen_urls = set() + seen_lines_with_genre = set() + # 用于存储最终输出的行 + output_lines = [] + # 打开输入文件并读取所有行 + with open(input_file, 'r', encoding='utf-8') as f: + lines = f.readlines() + print("去重前的行数：", len(lines)) + # 遍历每一行 + for line in lines: + # 使用正则表达式查找URL和包含genre的行,默认最后一行 + urls = re.findall(r'[https]?[http]?[rtsp]?[rtmp]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', line) + genre_line = re.search(r'\bgenre\b', line, re.IGNORECASE) is not None + # 如果找到URL并且该URL尚未被记录 + if urls and urls[0] not in seen_urls: + seen_urls.add(urls[0]) + output_lines.append(line) + # 如果找到包含genre的行，无论是否已被记录，都写入新文件 + if genre_line: + output_lines.append(line) + # 将结果写入输出文件 + with open(output_file, 'w', encoding='utf-8') as f: + f.writelines(output_lines) + print("去重后的行数：", len(output_lines)) +# 使用方法 +remove_duplicates('汇总.txt', '2.txt') + + + + + + +######################################################################################提取goodiptv +import re +import os +# 定义一个包含所有要排除的关键词的列表 +excluded_keywords = ['epg', 'mitv', 'udp', 'rtp', 'P2p', 'p2p', 'p3p', 'P2P', '新闻综合', 'P3p', 'jdshipin#', '9930/qilu', 'gitcode.net', '151:99', '21dtv', 'txmov2', 'gcw.bdcdn', 'metshop', + 'shandong', 'goodiptv', '购物', '[', 'P3P', '腔', '曲', '//1', '/hls/', '春节', '网络收集', '95.179', 'hlspull', 'github', 'lunbo', 'tw.ts138', '114:8278', '//tvb', 'extraott', + '22:8891', 'fanmingming', '43:22222', 'etv.xhgvip', 'free.xiptv', 'www.zhixun', 'xg.52sw', 'iptv.yjxfz.com', 'zb.qc', 'CHC', '/vd', '/TV2/'] #, 'CHC', '/TV2/' + +# 定义一个包含所有要提取的关键词的列表 +extract_keywords = ['1905', '凤凰卫视', '人间卫视', '亚洲卫视', '香港卫视', '神乐', '翡翠台', '凤凰香港', '凤凰中文', '凤凰资讯', 'AXN', 'AMC', '电影台', '大爱', '东森', + '华视', '中天', '天良', '美亚', '星影', '纬来', '天映', '无线', '华剧台', '华丽台', '剧台', '三立', '八大', '采昌', '民视', '数位', '影视2', + '影视3', '中视', '豬哥亮', 'TVB', '公视', '寰宇', '戏剧', '靖天', '靖洋', '龙华', '龙祥', '猪哥亮', '影迷', '影剧', '电视剧', + '中华小当家', '中天娱乐', '公视戏剧', '珍珠台', '台视', '华视', '环球电视', '美亚C+', '番薯'] + + +# 读取文件并处理每一行 +with open('2.txt', 'r', encoding='utf-8') as file: + lines = file.readlines() + + # 创建或打开一个输出文件用于写入处理后的数据 + with open('网络收集.txt', 'w', encoding='utf-8') as outfile: + for line in lines: + # 首先检查行是否包含任何提取关键词 + if any(keyword in line for keyword in extract_keywords): + # 如果包含提取关键词，进一步检查行是否不包含任何排除关键词 + if not any(keyword in line for keyword in excluded_keywords): + outfile.write(line) # 写入符合条件的行到文件 + + +############################################################### +import re +def parse_file(input_file_path, output_file_name): + # 正则表达式匹配从'//'开始到第一个'/'或第一个'::'结束的部分 + ip_or_domain_pattern = re.compile(r'//([^/:]*:[^/:]*::[^/:]*|[^/]*)') + # 用于存储每个IP或域名及其对应的行列表 + ip_or_domain_to_lines = {} + # 读取原始文件内容 + with open(input_file_path, 'r', encoding='utf-8') as file: + for line in file: + line = line.strip() + # 如果行是分类标签行，则跳过 + if ",#genre#" in line: + continue + # 检查行是否包含IP或域名 + match = ip_or_domain_pattern.search(line) + if match: + # 提取匹配到的IP或域名 + matched_text = match.group(1) + # 去除IP或域名后的剩余部分，只保留匹配到的IP或域名 + ip_or_domain = matched_text.split('://')[-1].split('/')[0].split('::')[0] + # 将行添加到对应的IP或域名列表中 + if ip_or_domain not in ip_or_domain_to_lines: + ip_or_domain_to_lines[ip_or_domain] = [] + ip_or_domain_to_lines[ip_or_domain].append(line) + ############################################################################### 过滤掉小于1500字节的IP或域名段 + filtered_ip_or_domain_to_lines = {ip_or_domain: lines for ip_or_domain, lines in ip_or_domain_to_lines.items() + if sum(len(line) for line in lines) >= 300} + # 如果没有满足条件的IP或域名段，则不生成文件 + if not filtered_ip_or_domain_to_lines: + print("没有满足条件的IP或域名段，不生成文件。") + return + # 合并所有满足条件的IP或域名的行到一个文件 + with open(output_file_name, 'w', encoding='utf-8') as output_file: + for ip_or_domain, lines in filtered_ip_or_domain_to_lines.items(): + # 写入IP或域名及其对应的行到输出文件 + output_file.write(f"频道,#genre#\n") + for line in lines: + output_file.write(line + '\n') + output_file.write('\n') # 在每个小段后添加一个空行作为分隔 +# 调用函数并传入文件路径和输出文件名 +parse_file('网络收集.txt', '网络收集.txt') + + + import cv2 import time from tqdm import tqdm -# 初始化酒店源字典 -detected_ips = {} +import os + # 存储文件路径 -file_path = "5.txt" -output_file_path = "2.txt" +file_path = "网络收集.txt" +output_file_path = "网络收集.txt" + def get_ip_key(url): - """从URL中提取IP地址,并构造一个唯一的键""" - # 找到'//'到第三个'.'之间的字符串 - start = url.find('://') + 3 # '://'.length 是 3 - end = start - dot_count = 0 - while dot_count < 3: - end = url.find('.', end) - if end == -1: # 如果没有找到第三个'.',就结束 - break - dot_count += 1 - return url[start:end] if dot_count == 3 else None -# 打开输入文件和输出文件 -with open(file_path, 'r', encoding='utf-8') as file: - lines = file.readlines() -# 获取总行数用于进度条 -total_lines = len(lines) -# 写入通过检测的行到新文件 -with open(output_file_path, 'w', encoding='utf-8') as output_file: - # 使用tqdm显示进度条 - for i, line in tqdm(enumerate(lines), total=total_lines, desc="Processing", unit='line'): - # 检查是否包含 'genre' - if 'genre' in line: - output_file.write(line) - continue - # 分割频道名称和URL,并去除空白字符 - parts = line.split(',', 1) - if len(parts) == 2: - channel_name, url = parts - channel_name = channel_name.strip() - url = url.strip() - # 构造IP键 - ip_key = get_ip_key(url) - if ip_key and ip_key in detected_ips: - # 如果IP键已存在,根据之前的结果决定是否写入新文件 - if detected_ips[ip_key]['status'] == 'ok': - output_file.write(line) - elif ip_key: # 新IP键,进行检测 - # 进行检测 - cap = cv2.VideoCapture(url) - start_time = time.time() - frame_count = 0 - # 尝试捕获10秒内的帧 - while frame_count < 200 and (time.time() - start_time) < 10: - ret, frame = cap.read() - if not ret: - break - frame_count += 1 - # 释放资源 - cap.release() - # 根据捕获的帧数判断状态并记录结果 - if frame_count >= 200: #10秒内超过230帧则写入 - detected_ips[ip_key] = {'status': 'ok'} - output_file.write(line) # 写入检测通过的行 - else: - detected_ips[ip_key] = {'status': 'fail'} -# 打印酒店源 + """从 URL 中提取 IP 地址，并构造一个唯一的键""" + start = url.find('://') + 3 + end = url.find('/', start) + return url[start:end] if end!= -1 else None + +def merge_and_filter(): + with open(file_path, 'r', encoding='utf-8') as file: + lines = file.readlines() + + total_lines = len(lines) + + # 处理输入文件中的数据并进行检测 + with open(output_file_path, 'a', encoding='utf-8') as output_file: + for i, line in tqdm(enumerate(lines), total=total_lines, desc="Processing", unit='line'): + if 'genre' in line: + output_file.write(line) + continue + parts = line.split(',', 1) + if len(parts) == 2: + channel_name, url = parts + channel_name = channel_name.strip() + url = url.strip() + ip_key = get_ip_key(url) + if ip_key and ip_key in detected_ips: + if detected_ips[ip_key]['status'] == 'ok': + output_file.write(line) + elif ip_key: + cap = cv2.VideoCapture(url) + start_time = time.time() + frame_count = 0 + while frame_count < 50 and (time.time() - start_time) < 3: + ret, frame = cap.read() + if not ret: + break + frame_count += 1 + cap.release() + if frame_count >= 50: + detected_ips[ip_key] = {'status': 'ok'} + output_file.write(line) + else: + detected_ips[ip_key] = {'status': 'fail'} + + # 合并任意字符加上网络收集.txt 的文件 + all_files = [f for f in os.listdir(os.getcwd()) if f.endswith('网络收集.txt')] + with open(output_file_path, 'a', encoding='utf-8') as main_output: + for file_name in all_files: + if file_name!= output_file_path: + with open(file_name, 'r', encoding='utf-8') as other_file: + content = other_file.read() + if content: + main_output.write('\n') + main_output.write(content) + +detected_ips = {} +merge_and_filter() + for ip_key, result in detected_ips.items(): print(f"IP Key: {ip_key}, Status: {result['status']}") -######################################################################################################################################################################################## -################################################################定义关键词分割规则 -def check_and_write_file(input_file, output_file, keywords): - # 使用 split(', ') 来分割关键词 - keywords_list = keywords.split(', ') - pattern = '|'.join(re.escape(keyword) for keyword in keywords_list) - # 读取输入文件并提取包含关键词的行 - extracted_lines = [] - with open(input_file, 'r', encoding='utf-8') as file: - for line in file: - if "genre" not in line: - if re.search(pattern, line): - extracted_lines.append(line) - # 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 - if extracted_lines: - with open(output_file, 'w', encoding='utf-8') as out_file: - out_file.write(f"{keywords_list[0]},#genre#\n") # 写入头部信息 - out_file.writelines(extracted_lines) # 写入提取的行 - # 获取头部信息的大小 - header_size = len(f"{keywords_list[0]},#genre#\n") - - # 检查文件的总大小 - file_size = os.path.getsize(output_file) - - # 如果文件大小小于30字节（假设的最小文件大小）,删除文件 - if file_size < 200: - os.remove(output_file) - print(f"文件只包含头部信息,{output_file} 已被删除。") - else: - print(f"文件已提取关键词并保存为: {output_file}") - else: - print(f"未提取到关键词,不创建输出文件 {output_file}。") -# 按类别提取关键词并写入文件 -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") -check_and_write_file('2.txt', 'b.txt', keywords="卫视频道, 卫视, 凤凰, 星空") -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") -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") -check_and_write_file('2.txt', 'd.txt', keywords="北京频道, 北京") -############################################################################################################################################################################################################################### -##############################################################对生成的文件进行合并 -file_contents = [] -file_paths = ["a.txt", "b.txt", "c0.txt", "c.txt", "d.txt"] # 替换为实际的文件路径列表 -for file_path in file_paths: - if os.path.exists(file_path): - with open(file_path, 'r', encoding="utf-8") as file: - content = file.read() - file_contents.append(content) - 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_path} 不存在,跳过") -# 写入合并后的文件 -with open("去重.txt", "w", encoding="utf-8") as output: - output.write('\n'.join(file_contents)) -############################################################################################################################################################################################################################### -##############################################################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 + + def remove_duplicates(input_file, output_file): # 用于存储已经遇到的URL和包含genre的行 seen_urls = set() @@ -485,94 +522,186 @@ def remove_duplicates(input_file, output_file): f.writelines(output_lines) print("去重后的行数：", len(output_lines)) # 使用方法 -remove_duplicates('去重.txt', '分类.txt') - -#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("分类.txt", inplace=True): #打开临时文件原地替换关键字 - line = line.replace("CCTV1,", "CCTV1-综合,") - line = line.replace("CCTV2,", "CCTV2-财经,") - line = line.replace("CCTV3,", "CCTV3-综艺,") - line = line.replace("CCTV4,", "CCTV4-国际,") - line = line.replace("CCTV5,", "CCTV5-体育,") - line = line.replace("CCTV5+,", "CCTV5-体育plus,") - line = line.replace("CCTV6,", "CCTV6-电影,") - line = line.replace("CCTV7,", "CCTV7-军事,") - line = line.replace("CCTV8,", "CCTV8-电视剧,") - line = line.replace("CCTV9,", "CCTV9-纪录,") - line = line.replace("CCTV10,", "CCTV10-科教,") - line = line.replace("CCTV11,", "CCTV11-戏曲,") - line = line.replace("CCTV11+,", "CCTV11-戏曲,") - line = line.replace("CCTV12,", "CCTV12-社会与法,") - line = line.replace("CCTV13,", "CCTV13-新闻,") - line = line.replace("CCTV14,", "CCTV14-少儿,") - line = line.replace("CCTV15,", "CCTV15-音乐,") - line = line.replace("CCTV16,", "CCTV16-奥林匹克,") - line = line.replace("CCTV17,", "CCTV17-农业农村,") - line = line.replace("CHC", "") - print(line, end="") +remove_duplicates('网络收集.txt', '网络收集.txt') -# 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 + +######################连通性检测 + +import requests +import time +import cv2 +from urllib.parse import urlparse +from tqdm import tqdm + +# 测试HTTP连接并尝试下载数据 +def test_connectivity_and_download(url, initial_timeout=1, retry_timeout=1): + parsed_url = urlparse(url) + if parsed_url.scheme not in ['http', 'https']: + # 非HTTP(s)协议，尝试RTSP检测 + return test_rtsp_connectivity(url, retry_timeout) 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) + # HTTP(s)协议，使用原始方法 + try: + with requests.get(url, stream=True, timeout=initial_timeout) as response: + if response.status_code == 200: + start_time = time.time() + while time.time() - start_time < initial_timeout: + chunk = response.raw.read(51200) # 尝试下载1KB数据 + if chunk: + return True # 成功下载数据 + except requests.RequestException as e: + print(f"请求异常: {e}") + pass #这行删掉则会在下载不到数据流的时候进行连通性测试 -#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="") + return False # 默认返回False + +print("/" * 80) + +# 测试RTSP连接并尝试读取流 +def test_rtsp_connectivity(url, timeout=3): + cap = cv2.VideoCapture(url) + if not cap.isOpened(): + return False + start_time = time.time() + while time.time() - start_time < timeout: + ret, _ = cap.read() + if ret: + return True # 成功读取帧 + cap.release() + return False + +# 主函数 +def main(输入, 输出): + with open(输入, "r", encoding="utf-8") as source_file: + lines = source_file.readlines() + + results = [] + for line_number, line in enumerate(tqdm(lines, desc="检测中")): + parts = line.strip().split(",") + if len(parts) == 2 and parts[1]: # 确保有URL，并且URL不为空 + channel_name, channel_url = parts + try: + is_valid = test_connectivity_and_download(channel_url) + except Exception as e: + print(f"检测URL {channel_url} 时发生错误: {e}") + is_valid = False # 将异常的URL视为无效 + + status = "有效" if is_valid else "无效" + + if "genre" in line.lower() or status == "有效": + results.append((channel_name.strip(), channel_url.strip(), status)) + + # 写入文件 + with open(输出, "w", encoding="utf-8") as output_file: + for channel_name, channel_url, status in results: + output_file.write(f"{channel_name},{channel_url}\n") + + print(f"任务完成, 有效源数量: {len([x for x in results if x[2] == '有效'])}, 无效源数量: {len([x for x in results if x[2] == '无效'])}") + +if __name__ == "__main__": + 输入 = "网络收集.txt" #input('请输入utf-8编码的直播源文件路径:') + 输出 = "网络收集.txt" + main(输入, 输出) -################################################################################################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"] + +import re +from pypinyin import lazy_pinyin +# 打开一个utf-8编码的文本文件 +with open("网络收集.txt", "r", encoding="utf-8") as file: + # 读取所有行并存储到列表中 + lines = file.readlines() +# 定义一个函数，用于提取每行的第一个数字 +def extract_first_number(line): + match = re.search(r'\d+', line) + return int(match.group()) if match else float('inf') +# 对列表中的行进行排序，按照第一个数字的大小排列，其余行按中文排序 +sorted_lines = sorted(lines, key=lambda x: (not 'CCTV' in x, extract_first_number(x) if 'CCTV' in x else lazy_pinyin(x.strip()))) +# 将排序后的行写入新的utf-8编码的文本文件 +with open("网络收集.txt", "w", encoding="utf-8") as file: + for line in sorted_lines: + file.write(line) + + + + +def parse_file(input_file_path, output_file_name): # + # 正则表达式匹配从'//'开始到第一个'/'或第一个'::'结束的部分 + ip_or_domain_pattern = re.compile(r'//([^/:]*:[^/:]*::[^/:]*|[^/]*)') + # 用于存储每个IP或域名及其对应的行列表 + ip_or_domain_to_lines = {} + # 用于生成分类名的字母和数字计数器 + alphabet_counter = 0 # 字母计数器，从0开始 + number_counter = 1 # 数字计数器，从1开始 + # 读取原始文件内容 + with open(input_file_path, 'r', encoding='utf-8') as file: + for line in file: + line = line.strip() + # 如果行是分类标签行，则跳过 + if ",#genre#" in line: + continue + # 检查行是否包含IP或域名 + match = ip_or_domain_pattern.search(line) + if match: + # 提取匹配到的IP或域名 + matched_text = match.group(1) + # 去除IP或域名后的剩余部分，只保留匹配到的IP或域名 + ip_or_domain = matched_text.split('://')[-1].split('/')[0].split('::')[0] + # 将行添加到对应的IP或域名列表中 + if ip_or_domain not in ip_or_domain_to_lines: + ip_or_domain_to_lines[ip_or_domain] = [] + ip_or_domain_to_lines[ip_or_domain].append(line) + # 过滤掉小于1000字节的IP或域名段 + filtered_ip_or_domain_to_lines = {ip_or_domain: lines for ip_or_domain, lines in ip_or_domain_to_lines.items() + if sum(len(line) for line in lines) >= 250} # 过滤掉小于1000字节的IP或域名段 + # 如果没有满足条件的IP或域名段，则不生成文件 + if not filtered_ip_or_domain_to_lines: + print("没有满足条件的IP或域名段，不生成文件。") + return + # 合并所有满足条件的IP或域名的行到一个文件 +############################################################ + with open(output_file_name, 'w', encoding='utf-8') as output_file: #output_ + for ip_or_domain, lines in filtered_ip_or_domain_to_lines.items(): + # 检查是否需要递增数字计数器 + if alphabet_counter >= 26: + number_counter += 1 + alphabet_counter = 0 # 重置字母计数器 + ###################################################### + # 生成分类名 + genre_name = chr(65 + alphabet_counter)# + str(number_counter) + output_file.write(f"港澳{genre_name}组,#genre#\n") + for line in lines: + output_file.write(line + '\n') + output_file.write('\n') # 在每个小段后添加一个空行作为分隔 + alphabet_counter += 1 # 递增字母计数器 +# 调用函数并传入文件路径和输出文件名 +parse_file('网络收集.txt', '网络收集.txt') + + + + + +import datetime +now = datetime.datetime.utcnow() + datetime.timedelta(hours=8) +current_time = now.strftime("%Y/%m/%d %H:%M") +# 打开文本文件并将时间添加到开头 +file_path = "网络收集.txt" +with open(file_path, 'r+', encoding='utf-8') as f: + content = f.read() + f.seek(0, 0) + f.write(f'{current_time}更新,#genre#\n') + f.write(f'虚情的爱,https://vd2.bdstatic.com/mda-mi1dd05gmhwejdwn/sc/cae_h264/1630576203346678103/mda-mi1dd05gmhwejdwn.mp4\n{content}') + + +################################################################################################任务结束，删除不必要的过程文件 +files_to_remove = ["2.txt", "汇总.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 -for ip_key, result in detected_ips.items(): - print(f"IP Key: {ip_key}, Status: {result['status']}") + 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，频道列表可查看文件夹内源.txt文件！")