Update 测绘站采集.py
This commit is contained in:
frxz751113
GitHub
+481
-610
@@ -1,10 +1,15 @@
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from lxml import etree
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#本程序主体构造如下
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#搜素有效IP并生成文件追加写入到相应列表文件后去重
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#检测组播列表所有文件中IP有效性
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#合并整理自用直播源，与组播无关
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#合并所有组播文件并过滤严重掉帧的视频以保证流畅性
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#提取检测后的频道进行分类输出优选组播源
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#提取优选组播源中分类追加到自用直播源
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#后续整理
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#没了！！！！！！！！！！！！
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import time
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import datetime
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from datetime import datetime, timedelta # 确保 timedelta 被导入
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import concurrent.futures
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#from selenium import webdriver
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#from selenium.webdriver.chrome.options import Options
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from concurrent.futures import ThreadPoolExecutor
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import requests
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import re
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@@ -13,6 +18,7 @@ import threading
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from queue import Queue
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import queue
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from datetime import datetime
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import replace
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import fileinput
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from tqdm import tqdm
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from pypinyin import lazy_pinyin
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@@ -22,479 +28,436 @@ import cv2
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from bs4 import BeautifulSoup
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from urllib.parse import urlparse
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from translate import Translator # 导入Translator类,用于文本翻译
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## 定义txt文件的URL列表
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urls = [
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'https://dimaston.github.io/live.m3u', #假m3u
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'https://raw.githubusercontent.com/xiongjian83/TvBox/refs/heads/main/live.txt',
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'https://raw.github.com/ddhola/file/d7afb504b1ba4fef31813e1166cb892215a9c063/0609test',
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'https://raw.github.com/vbskycn/iptv/2738b3bec8c298f57e0e2052b155846ab6ea3787/dsyy/hd.txt',
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'https://raw.github.com/frxz751113/AAAAA/main/IPTV/TW.txt',
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'https://raw.github.com/ljlfct01/ljlfct01.github.io/main/list.%E8%87%AA%E7%94%A8',
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'https://notabug.org/qcfree/TVBox-api/raw/main/live.txt', #通用源
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'https://raw.github.com/KAN314go/A/e81a1c22cd1b9f459bc363bd916c13133e235510/tv/%E5%AE%89%E5%8D%9A8K.txt',
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'https://gitlab.com/tvtg/vip/-/raw/main/log.txt',
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'https://raw.github.com/frxz751113/IPTVzb1/main/%E7%BB%BC%E5%90%88%E6%BA%90.txt',
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'https://raw.github.com/ssili126/tv/main/itvlist.txt',
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'https://raw.github.com/Supprise0901/TVBox_live/main/live.txt',
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'https://raw.github.com/Guovin/TV/gd/result.txt',
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'https://raw.github.com/gaotianliuyun/gao/master/list.txt',
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'https://gitee.com/xxy002/zhiboyuan/raw/master/zby.txt',
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'https://raw.github.com/mlvjfchen/TV/main/iptv_list.txt',
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'https://raw.github.com/fenxp/iptv/main/live/tvlive.txt',
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'https://raw.github.com/zwc456baby/iptv_alive/master/live.txt',
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'https://gitlab.com/p2v5/wangtv/-/raw/main/lunbo.txt',
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'https://raw.github.com/PizazzGY/TVBox/main/live.txt',
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'https://gitcode.net/MZ011/BHJK/-/raw/master/BHZB1.txt',
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'https://raw.github.com/vbskycn/iptv/master/tv/iptv4.txt',
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'https://raw.github.com/junge3333/juds6/main/yszb1.txt',
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'https://raw.github.com/zzmaze/iptv/main/iptv.txt',
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'https://raw.github.com/kimwang1978/collect-tv-txt/main/others_output.txt',
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'https://raw.github.com/newrecha/TVBOX/5cdd7dcc228f14e4c7f343278e330481aae84eee/live/free.txt',
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'https://bbs.ysctv.cn/tv/live.txt',
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'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',
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'https://d.kstore.space/download/8209/港澳台终极版.txt',
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'http://wp.wadg.pro/down.php/c7a364c3b23d0b7d3b01e9e731414efc.txt;',
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'https://aiwoa2003.oss-cn-hangzhou.aliyuncs.com/%E5%A4%A9%E5%91%BD%E4%BA%BA.txt',
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'https://fs-im-kefu.7moor-fs1.com/ly/4d2c3f00-7d4c-11e5-af15-41bf63ae4ea0/1715581924111/live1.txt',
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'https://gitea.moe/xiangjiao-ge/yifa169/raw/branch/main/yiyifafa.txt',
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'https://d.kstore.space/download/3701/%E8%8A%B8%E6%B1%90%E7%94%B5%E8%A7%86.txt',
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'https://bbs.ysctv.cn/tv/live.txt',
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'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',
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'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',
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'https://raw.bgithub.xyz/luoye20230624/NETZB/6d8798a6a9aef8fce48597b283011e123e0caa2f/%E7%BB%BC%E5%90%88%E6%BA%90.txt',
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'',
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'',
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'',
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'',
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'',
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'',
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'',
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'',
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'',
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'',
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'',
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'',
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'',
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'',
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'',
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'',
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'',
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'',
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'',
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'',
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'',
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''
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]
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# 合并文件的函数
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def merge_txt_files(urls, output_filename='汇总.txt'):
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try:
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with open(output_filename, 'w', encoding='utf-8') as outfile:
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for url in urls:
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try:
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response = requests.get(url)
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response.raise_for_status() # 确保请求成功
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# 尝试将响应内容解码为UTF-8，如果失败则尝试其他编码
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try:
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content = response.content.decode('utf-8')
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except UnicodeDecodeError:
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content = response.content.decode('gbk') # 尝试GBK编码
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outfile.write(content + '\n')
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except requests.RequestException as e:
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print(f'Error downloading {url}: {e}')
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except IOError as e:
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print(f'Error writing to file: {e}')
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# -*- coding: utf-8 -*-
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import random
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from fake_useragent import UserAgent # 需要先安装：pip install fake-useragent
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# 调用函数
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merge_txt_files(urls)
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# 创建输出目录
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os.makedirs('playlist', exist_ok=True)
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# 配置参数
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DELAY_RANGE = (3, 6) # 随机延迟时间范围（秒）
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MAX_RETRIES = 3 # 最大重试次数
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REQUEST_TIMEOUT = 10 # 请求超时时间（秒）
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def get_random_header():
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"""生成随机请求头"""
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return {
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'User-Agent': UserAgent().random,
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'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8',
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'Referer': 'https://fofa.info/'
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}
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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('汇总.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('汇总.txt', 'w', encoding='utf-8') as file:
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file.write(simplified_text)
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with open('汇总.txt', 'r', encoding="utf-8") as file:
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# 读取所有行并存储到列表中
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lines = file.readlines()
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#定义替换规则的字典对频道名替换
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replacements = {
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"CCTV-1高清测试": "",
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"CCTV-2高清测试": "",
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"CCTV-7高清测试": "",
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"CCTV-10高清测试": "",
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"中央": "CCTV",
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"高清""": "",
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"HD": "",
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"标清": "",
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"amc": "AMC",
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"CCTV1综合": "CCTV1",
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"CCTV2财经": "CCTV2",
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"CCTV3综艺": "CCTV3",
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"国际": "",
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"5体育": "5",
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"6电影": "6",
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"军农": "",
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"8影视": "8",
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"9纪录": "9",
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"0科教": "0",
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"2社会与法": "2",
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"3新闻": "3",
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"4少儿": "4",
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"5音乐": "5",
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"": "",
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"": "",
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"": "",
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"": "",
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"": "",
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"": "",
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"咪咕": "",
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"": "",
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"超清": "",
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"频道": "",
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"CCTV-": "CCTV",
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"CCTV_": "CCTV",
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" ": "",
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"CCTV风云剧场": "风云剧场",
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"CCTV第一剧场": "第一剧场",
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"CCTV怀旧剧场": "怀旧剧场",
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"熊猫影院": "熊猫电影",
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"熊猫爱生活": "熊猫生活",
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"爱宠宠物": "宠物生活",
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"[ipv6]": "",
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"专区": "",
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"卫视超": "卫视",
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"CCTV风云剧场": "风云剧场",
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"CCTV第一剧场": "第一剧场",
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"CCTV怀旧剧场": "怀旧剧场",
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"IPTV": "",
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"PLUS": "+",
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"＋": "+",
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"(": "",
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")": "",
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"CAV": "",
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"美洲": "",
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"北美": "",
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"12M": "",
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"高清测试CCTV-1": "",
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"高清测试CCTV-2": "",
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"高清测试CCTV-7": "",
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"高清测试CCTV-10": "",
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"LD": "",
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"HEVC20M": "",
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"S,": ",",
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"测试": "",
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"CCTW": "CCTV",
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"试看": "",
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"测试": "",
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" ": "",
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"测试cctv": "CCTV",
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"CCTV1综合": "CCTV1",
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"CCTV2财经": "CCTV2",
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"CCTV3综艺": "CCTV3",
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"CCTV4国际": "CCTV4",
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"CCTV4中文国际": "CCTV4",
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"CCTV4欧洲": "CCTV4",
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"CCTV5体育": "CCTV5",
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"CCTV5+体育": "CCTV5+",
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"CCTV6电影": "CCTV6",
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"CCTV7军事": "CCTV7",
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"CCTV7军农": "CCTV7",
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"CCTV7农业": "CCTV7",
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"CCTV7国防军事": "CCTV7",
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"CCTV8电视剧": "CCTV8",
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"CCTV8影视": "CCTV8",
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"CCTV8纪录": "CCTV9",
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"CCTV9记录": "CCTV9",
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"CCTV9纪录": "CCTV9",
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"CCTV10科教": "CCTV10",
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"CCTV11戏曲": "CCTV11",
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"CCTV12社会与法": "CCTV12",
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"CCTV13新闻": "CCTV13",
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"CCTV新闻": "CCTV13",
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"CCTV14少儿": "CCTV14",
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"央视14少儿": "CCTV14",
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"CCTV少儿超": "CCTV14",
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"CCTV15音乐": "CCTV15",
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"CCTV音乐": "CCTV15",
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"CCTV16奥林匹克": "CCTV16",
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"CCTV17农业农村": "CCTV17",
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"CCTV17军农": "CCTV17",
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"CCTV17农业": "CCTV17",
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"CCTV5+体育赛视": "CCTV5+",
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"CCTV5+赛视": "CCTV5+",
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"CCTV5+体育赛事": "CCTV5+",
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"CCTV5+赛事": "CCTV5+",
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"CCTV5+体育": "CCTV5+",
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"CCTV5赛事": "CCTV5+",
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"凤凰中文台": "凤凰中文",
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"凤凰资讯台": "凤凰资讯",
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"(CCTV4K测试）": "CCTV4K",
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"上海东方卫视": "上海卫视",
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"东方卫视": "上海卫视",
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"内蒙卫视": "内蒙古卫视",
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"福建东南卫视": "东南卫视",
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"广东南方卫视": "南方卫视",
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"湖南金鹰卡通": "金鹰卡通",
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"炫动卡通": "哈哈炫动",
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"卡酷卡通": "卡酷少儿",
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"卡酷动画": "卡酷少儿",
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"BRTVKAKU少儿": "卡酷少儿",
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"优曼卡通": "优漫卡通",
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"优曼卡通": "优漫卡通",
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"嘉佳卡通": "佳嘉卡通",
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"世界地理": "地理世界",
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"CCTV世界地理": "地理世界",
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"BTV北京卫视": "北京卫视",
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"BTV冬奥纪实": "冬奥纪实",
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"东奥纪实": "冬奥纪实",
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"卫视台": "卫视",
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"湖南电视台": "湖南卫视",
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"少儿科教": "少儿",
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"影视剧": "影视",
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"电视剧": "影视",
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"CCTV1CCTV1": "CCTV1",
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"CCTV2CCTV2": "CCTV2",
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"CCTV7CCTV7": "CCTV7",
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"CCTV10CCTV10": "CCTV10"
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}
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with open('汇总.txt', 'w', encoding='utf-8') as new_file:
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for line in lines:
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# 去除行尾的换行符
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line = line.rstrip('\n')
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# 分割行，获取逗号前的字符串
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parts = line.split(',', 1)
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if len(parts) > 0:
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# 替换逗号前的字符串
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before_comma = parts[0]
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for old, new in replacements.items():
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before_comma = before_comma.replace(old, new)
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# 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
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new_line = f'{before_comma},{parts[1]}\n' if len(parts) > 1 else f'{before_comma}\n'
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new_file.write(new_line)
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# 打开文本文件进行读取
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def read_and_process_file(input_filename, output_filename, encodings=['utf-8', 'gbk']):
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for encoding in encodings:
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def safe_request(url):
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"""带重试机制的请求函数"""
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for attempt in range(MAX_RETRIES):
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try:
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with open(input_filename, 'r', encoding=encoding) as file:
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lines = file.readlines()
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break
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except UnicodeDecodeError:
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continue
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else:
|
||||
raise ValueError(f"Cannot decode file '{input_filename}' with any of the provided encodings")
|
||||
# 随机延迟防止被封
|
||||
time.sleep(random.uniform(*DELAY_RANGE))
|
||||
|
||||
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)
|
||||
response = requests.get(
|
||||
url,
|
||||
headers=get_random_header(),
|
||||
timeout=REQUEST_TIMEOUT
|
||||
)
|
||||
|
||||
# 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:
|
||||
# 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
|
||||
# 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')
|
||||
|
||||
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}")
|
||||
|
||||
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()
|
||||
|
||||
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 os
|
||||
import sys
|
||||
|
||||
# 存储文件路径
|
||||
file_path = "网络收集.txt"
|
||||
output_file_path = "网络收集.txt"
|
||||
# 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，并构造一个唯一的键"""
|
||||
"""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)
|
||||
return url[start:end] if end!= -1 else None
|
||||
if end == -1:
|
||||
end = len(url)
|
||||
return url[start:end].strip()
|
||||
|
||||
def merge_and_filter():
|
||||
with open(file_path, 'r', encoding='utf-8') as file:
|
||||
lines = file.readlines()
|
||||
# 设置固定的文件夹路径
|
||||
folder_path = 'playlist'
|
||||
|
||||
total_lines = len(lines)
|
||||
# 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()
|
||||
|
||||
# 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:
|
||||
# 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()
|
||||
frame_count = 0
|
||||
while frame_count < 50 and (time.time() - start_time) < 3:
|
||||
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()
|
||||
if frame_count >= 50:
|
||||
|
||||
# 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'}
|
||||
|
||||
# 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()
|
||||
|
||||
# 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:
|
||||
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:
|
||||
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:
|
||||
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}")
|
||||
import cv2
|
||||
import time
|
||||
from tqdm import tqdm
|
||||
# 初始化酒店源字典
|
||||
detected_ips = {}
|
||||
# 存储文件路径
|
||||
file_path = "5.txt"
|
||||
output_file_path = "2.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
|
||||
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()
|
||||
@@ -522,186 +485,94 @@ 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('网络收集.txt', '网络收集.txt')
|
||||
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="")
|
||||
|
||||
|
||||
# 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'
|
||||
|
||||
|
||||
######################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:
|
||||
# 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
|
||||
|
||||
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)
|
||||
|
||||
|
||||
|
||||
|
||||
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
|
||||
# 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()
|
||||
# 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)
|
||||
# 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="")
|
||||
|
||||
|
||||
|
||||
|
||||
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"]
|
||||
################################################################################################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，频道列表可查看文件夹内源.txt文件！")
|
||||
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']}")
|
||||
|
||||
Reference in New Issue
Block a user