Update 一锅烩.py
This commit is contained in:
frxz751113
GitHub
@@ -1,3 +1,8 @@
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import urllib.request
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from urllib.parse import urlparse
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import re #正则
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import os
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from datetime import datetime
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import requests
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# 定义txt文件的URL列表
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urls = [
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@@ -42,3 +47,359 @@ def merge_txt_files(urls, output_filename='汇总.txt'):
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print(f'Error writing to file: {e}')
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# 调用函数
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merge_txt_files(urls)
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def remove_duplicates(input_file, output_file):
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# 用于存储已经遇到的URL和包含genre的行
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seen_urls = set()
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seen_lines_with_genre = set()
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# 用于存储最终输出的行
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output_lines = []
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# 打开输入文件并读取所有行
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with open(input_file, 'r', encoding='utf-8') as f:
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lines = f.readlines()
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print("去重前的行数：", len(lines))
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# 遍历每一行
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for line in lines:
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# 使用正则表达式查找URL和包含genre的行,默认最后一行
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urls = re.findall(r'[https]?[http]?[rtsp]?[rtmp]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', line)
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genre_line = re.search(r'\bgenre\b', line, re.IGNORECASE) is not None
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# 如果找到URL并且该URL尚未被记录
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if urls and urls[0] not in seen_urls:
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seen_urls.add(urls[0])
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output_lines.append(line)
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# 如果找到包含genre的行，无论是否已被记录，都写入新文件
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if genre_line:
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output_lines.append(line)
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# 将结果写入输出文件
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with open(output_file, 'w', encoding='utf-8') as f:
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f.writelines(output_lines)
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print("去重后的行数：", len(output_lines))
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# 使用方法
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remove_duplicates('汇总.txt', '汇总.txt')
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# 导入fileinput模块
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import fileinput
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# 定义替换规则的字典
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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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"-": "",
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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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"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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# 打开原始文件读取内容，并写入新文件
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with open('汇总.txt', 'r', encoding='utf-8') as file:
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lines = file.readlines()
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# 创建新文件并写入替换后的内容
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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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for old, new in replacements.items():
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line = line.replace(old, new)
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new_file.write(line)
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print("替换完成，新文件已保存。")
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import re
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from pypinyin import lazy_pinyin
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# 打开一个utf-8编码的文本文件
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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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# 定义一个函数，用于提取每行的第一个数字
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def extract_first_number(line):
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match = re.search(r'\d+', line)
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return int(match.group()) if match else float('inf')
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# 对列表中的行进行排序，按照第一个数字的大小排列，其余行按中文排序
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sorted_lines = sorted(lines, key=lambda x: (not 'CCTV' in x, extract_first_number(x) if 'CCTV' in x else lazy_pinyin(x.strip())))
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# 将排序后的行写入新的utf-8编码的文本文件
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with open("2.txt", "w", encoding="utf-8") as file:
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for line in sorted_lines:
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file.write(line)
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import re
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import os
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def filter_lines(file_path):
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with open(input_file_path, 'r', encoding='utf-8') as file:
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lines = file.readlines()
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filtered_lines = []
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for line in lines:
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if ',' in line:
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if 'epg' not in line and 'mitv' not in line and 'udp' not in line and 'rtp' not in line and 'tsfile' not in line and '/hls/' not in line \
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and 'P2p' not in line and 'p2p' not in line and 'p3p' not in line and 'P2P' not in line and 'P3p' not in line and 'P3P' not in line:
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filtered_lines.append(line)
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return filtered_lines
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def write_filtered_lines(output_file_path, filtered_lines):
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with open(output_file_path, 'w', encoding='utf-8') as output_file:
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output_file.writelines(filtered_lines)
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if __name__ == "__main__":
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input_file_path = "2.txt"
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output_file_path = "2.txt"
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filtered_lines = filter_lines(input_file_path)
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write_filtered_lines(output_file_path, filtered_lines)
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print(f"文件已过滤完成")
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########################################################################################################################################################################################
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################################################################定义关键词分割规则
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def check_and_write_file(input_file, output_file, keywords):
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# 使用 split(', ') 来分割关键词
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keywords_list = keywords.split(', ')
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pattern = '|'.join(re.escape(keyword) for keyword in keywords_list)
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# 读取输入文件并提取包含关键词的行
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extracted_lines = []
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with open(input_file, 'r', encoding='utf-8') as file:
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for line in file:
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if "genre" not in line:
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if re.search(pattern, line):
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extracted_lines.append(line)
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# 如果至少提取到一行，写入头部信息和提取的行到输出文件
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if extracted_lines:
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with open(output_file, 'w', encoding='utf-8') as out_file:
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out_file.write(f"{keywords_list[0]},#genre#\n") # 写入头部信息
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out_file.writelines(extracted_lines) # 写入提取的行
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# 获取头部信息的大小
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header_size = len(f"{keywords_list[0]},#genre#\n")
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# 检查文件的总大小
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file_size = os.path.getsize(output_file)
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# 如果文件大小小于30字节（假设的最小文件大小），删除文件
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if file_size < 800:
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os.remove(output_file)
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print(f"文件只包含头部信息，{output_file} 已被删除。")
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else:
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print(f"文件已提取关键词并保存为: {output_file}")
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else:
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print(f"未提取到关键词，不创建输出文件 {output_file}。")
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# 按类别提取关键词并写入文件
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check_and_write_file('2.txt', 'a0.txt', keywords="央视频道, 8K, 4K, 4k")
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check_and_write_file('2.txt', 'a.txt', keywords="央视频道, CCTV")
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check_and_write_file('2.txt', 'a1.txt', keywords="央视频道, 第一剧场, 风云剧场, 怀旧剧场, 家庭影院, 高清电影, 影迷, 动作电影, 峨眉电影, 世界地理")
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check_and_write_file('2.txt', 'b0.txt', keywords="卫视频道, 湖北卫视, 湖南卫视, 江苏卫视, 安徽卫视, 凤凰卫视, 辽宁卫视")
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check_and_write_file('2.txt', 'b.txt', keywords="卫视频道, 卫视")
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check_and_write_file('2.txt', 'c.txt', keywords="影视频道, 爱情喜剧, 爱喜喜剧, 惊嫊悬疑, 东北热剧, 动作电影, 无名, 都市剧场, iHOT, 海外剧场, 欢笑剧场, 重温经典, 明星大片, 中国功夫, 军旅, 东北热剧, 中国功夫, 军旅剧场, 古装剧场, \
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家庭剧场, 惊悚悬疑, 欢乐剧场, 潮妈辣婆, 爱情喜剧, 精品大剧, 超级影视, 超级电影, 黑莓动画, 黑莓电影, 海外剧场, 精彩影视, 无名影视, 潮婆辣妈, 超级剧, 热播精选")
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check_and_write_file('2.txt', 'c1.txt', keywords="影视频道, 求索动物, 求索, 求索科学, 求索记录, 爱谍战, 爱动漫, 爱科幻, 爱青春, 爱自然, 爱科学, 爱浪漫, 爱历史, 爱旅行, 爱奇谈, 爱怀旧, 爱赛车, 爱都市, 爱体育, 爱经典, \
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爱玩具, 爱喜剧, 爱悬疑, 爱幼教, 爱院线")
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check_and_write_file('2.txt', 'e.txt', keywords="港澳频道, TVB, 澳门, 龙华, 民视, 中视, 华视, AXN, MOMO, 采昌, 耀才, 靖天, 镜新闻, 靖洋, 莲花, 年代, 爱尔达, 好莱坞, 华丽, 非凡, 公视, 寰宇, 无线, EVEN, MoMo, 爆谷, 面包, momo, 唐人, \
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中华小, 三立, CNA, FOX, RTHK, Movie, 八大, 中天, 中视, 东森, 凤凰, 天映, 美亚, 环球, 翡翠, 亚洲, 大爱, 大愛, 明珠, 半岛, AMC, 龙祥, 台视, 1905, 纬来, 神话, 经典都市, 视界, 番薯, 私人, 酒店, TVB, 凤凰, 半岛, 星光视界, \
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番薯, 大愛, 新加坡, 星河, 明珠, 环球, 翡翠台, ELTV, 大立, elta, 好消息, 美国中文, 神州, 天良, 18台, BLOOMBERG, Bloomberg, CMUSIC, CN卡通, CNBC, CNBC, CinemaWorld, Cinemax, DMAX, Dbox, Dreamworks, ESPN, Euronews, \
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Eurosports1, FESTIVAL, GOOD2, HBO家庭, HBO, HISTORY, HOY国际财经, HakkaTV, J2, KOREA, LISTENONSPOTIFY, LUXE, MCE, MTV, Now, PremierSports, ROCK, SPOTV, TiTV, VOA, ViuTV, ViuTV6, WSport, WWE, 八度, 博斯, 达文西, 迪士尼, \
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动物星球, 港石金曲, 红牛, 互动英语, 华纳影视, 华语剧台, ELTV, 欢喜台, 旅游, 美食星球, nhkworld, nickjr, 千禧, 全球财经, 探案, 探索, 小尼克, 幸福空间, 影剧, 粤语片台, 智林, 猪哥亮")
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check_and_write_file('2.txt', 'f0.txt', keywords="湖北湖南, 湖北, 湖南")
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check_and_write_file('2.txt', 'f.txt', keywords="省市频道, 湖北, 武汉, 松滋, 十堰, 咸宁, 远安, 崇阳, 黄石, 荆州, 当阳, 恩施, 五峰, 来凤, 枝江, 黄冈, 随州, 荆门, 秭归, 宜昌, 长阳, 大悟, 孝感, 鄂州, 垄上, 宜都")
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check_and_write_file('2.txt', 'f1.txt', keywords="省市频道, 湖南, 长沙, 常德, 郴州, 垂钓, 金鹰纪实, 衡阳, 怀化, 茶, 吉首, 娄底, 邵阳, 湘潭, 益阳, 永州, 岳阳, 张家界, 株洲, 城步, 崇左, 洪雅, 涟水, 灵石, 隆回, 罗城, 溆浦, 邵阳")
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#check_and_write_file('2.txt', 'h0.txt', keywords="河南河北, 河南, 河北")
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check_and_write_file('2.txt', 'h.txt', keywords="河南河北, 河南, 焦作, 封丘, 郏县, 获嘉, 巩义, 邓州, 宝丰, 开封, 卢氏, 洛阳, 孟津, 安阳, 渑池, 南阳, 林州, 滑县, 栾川, 襄城, 宜阳, 长垣, 内黄, 鹿邑, 新安, 平顶山, 淇县, \
|
||||
杞县, 汝阳, 三门峡, 卫辉, 淅川, 新密, 新乡, 信阳, 新郑, 延津, 叶县, 义马, 永城, 禹州, 原阳, 镇平, 郑州, 周口, 泌阳, 郸城, 登封, 扶沟, 潢川, 辉县, 济源, 浚县, 临颍, 灵宝, 鲁山, 罗山, 沁阳, 汝州, 唐河, 尉氏")
|
||||
check_and_write_file('2.txt', 'h1.txt', keywords="河南河北, 河北, 石家庄, 承德, 丰宁, 临漳, 井陉, 井陉矿区, 保定, 元氏, 兴隆, 内丘, 南宫, 吴桥, 唐县, 唐山, 安平, 定州, 大厂, 张家口, 徐水, 成安, 故城, 康保, 廊坊, 晋州, \
|
||||
景县, 武安, 枣强, 柏乡, 涉县, 涞水, 涞源, 涿州, 深州, 深泽, 清河, 秦皇岛, 衡水, 遵化, 邢台, 邯郸, 邱县, 隆化, 雄县, 阜平, 高碑店, 高邑, 魏县, 黄骅, 饶阳, 赵县, 睛彩河北, 滦南, 玉田, 崇礼, 平泉, \
|
||||
容城, 文安, 三河, 清河, 潞城, 迁安, 迁西, 清苑, 确山")
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
###############################################################################################################################################################################################################################
|
||||
##############################################################对生成的文件进行合并
|
||||
file_contents = []
|
||||
file_paths = ["e.txt", "a0.txt", "a.txt", "a1.txt", "b0.txt", "b.txt", "c.txt", "c1.txt", "c2.txt", "d.txt", "f0.txt", "f.txt", "f1.txt", "g0.txt", "g.txt", "g1.txt", "h0.txt", "h.txt", "h1.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()
|
||||
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]?[P2p]?[mitv]?://(?:[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('去重.txt', '分类.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)
|
||||
# 将唯一的行写入新的文档
|
||||
with open('回收站.txt', 'w', encoding="utf-8") as file:
|
||||
file.writelines(unique_lines)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
################################################################################################任务结束，删除不必要的过程文件
|
||||
files_to_remove = ['去重.txt', "2.txt", "a0.txt", "a.txt", "a1.txt", "b0.txt", "b.txt", "c.txt", "c1.txt", "c2.txt", "d.txt", "e.txt", "f0.txt", "f.txt", "f1.txt", "g0.txt", "g.txt", "g1.txt", "h0.txt", "h.txt", "h1.txt", "i.txt", \
|
||||
"i1.txt", "j.txt", "j1.txt", "k.txt", "l0.txt", "l.txt", "l1.txt", "m.txt", "m1.txt", \
|
||||
"n0.txt","n.txt","n1.txt", "o1.txt", "o.txt", "p.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！")
|
||||
|
||||
Reference in New Issue
Block a user