746 lines
28 KiB
Python
746 lines
28 KiB
Python
import requests
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from bs4 import BeautifulSoup
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import re
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import os
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from opencc import OpenCC
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from tqdm import tqdm
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import cv2
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import threading
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from queue import Queue
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from concurrent.futures import ThreadPoolExecutor
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import time
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keywords = ['CCTV15', 'CCTV1', 'CCTV3', 'CCTV6', 'CCTV8', 'newtv', 'ihot', '动作电影', '家庭影院', '高清电影', '影迷电影', '湖北卫视', '湖南卫视', '凤凰卫视', '人间卫视', '香港卫视', '翡翠台', '凤凰香港', '凤凰中文', '凤凰资讯', 'AXN', 'AMC电影台', '电影台', '大爱', '东森', 'MTV', '好莱坞', '纬来', '天映', '八大',
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'华视', '中天', '天良', '美亚', '星影', '无线', '华剧台', '华丽台', 'Movie', '采昌', '靖天', '民视', '三立', '影视2',
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'影视3', '中视', '豬哥亮', 'TVB', '公视', '寰宇', '戏剧台', '靖天', '靖洋', '龙华', '龙祥', '猪哥亮', '影迷', '影剧', '台视', '华视',
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'中华小当家', '中天娱乐', '公视戏剧', '动漫', '动物星球', '动画台', '壹新闻', '大立电视', '天良', '探案', '超人', '番薯'] # 这里定义你的搜索关键词列表
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output_file = 'gat.txt'
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with open(output_file, 'w', encoding='utf-8') as f:
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for keyword in keywords:
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url = f'http://tonkiang.us/?&iqtv={keyword}'
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response = requests.get(url)
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if response.status_code == 200:
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soup = BeautifulSoup(response.text, 'html.parser')
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text_content = soup.get_text()
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f.write(text_content + '\n')
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else:
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print(f'请求 {url} 失败，状态码：{response.status_code}')
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time.sleep(1) # 添加 1 秒的延迟
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with open('gat.txt', 'r', encoding='utf-8') as infile:
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lines = infile.readlines()
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new_lines = []
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for i in range(len(lines)):
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line = lines[i]
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if 'http' in line:
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# 找到当前行之前的非空行作为频道名称
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for j in range(i - 1, -1, -1):
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if lines[j].strip():
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channel_name = lines[j].strip()
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break
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channel_url = line.strip()
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new_lines.append(f'{channel_name},{channel_url}\n')
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with open('gat.txt', 'w', encoding='utf-8') as outfile:
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outfile.writelines(new_lines)
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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'://(?:[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('gat.txt', 'gat.txt')
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print("处理完成，去重完成")
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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('gat.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('gat.txt', 'w', encoding='utf-8') as file:
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file.write(simplified_text)
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print("处理完成，繁体转换完成")
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######################################################################################提取goodiptv
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import re
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import os
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# 定义一个包含所有要排除的关键词的列表
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excluded_keywords = ['zhoujie218', 'service', '112114', 'xfjcHD', 'stream8.jlntv', 'live.cooltv', 'P2P', '新闻综合', 'P3p', 'cookies', '9930/qilu', 'gitcode.net'] #, '', ''
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# 定义一个包含所有要提取的关键词的列表
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extract_keywords = [',']
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# 读取文件并处理每一行
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with open('gat.txt', 'r', encoding='utf-8') as file:
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lines = file.readlines()
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# 创建或打开一个输出文件用于写入处理后的数据
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with open('gat.txt', 'w', encoding='utf-8') as outfile:
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for line in lines:
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# 首先检查行是否包含任何提取关键词
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if any(keyword in line for keyword in extract_keywords):
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# 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
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if not any(keyword in line for keyword in excluded_keywords):
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outfile.write(line) # 写入符合条件的行到文件
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def filter_lines(file_path):
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with open('gat.txt', '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 '[' 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 = 'gat.txt'
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output_file_path = "gat.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("/" * 80)
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# ###########################################定义替换规则的字典,对整行内的内容进行替换
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replacements = {
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" ": "",
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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('gat.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('gat.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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import requests
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from tqdm import tqdm
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import threading
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import re
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def test_connectivity(url, max_attempts=1):
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video_formats = ["m3u", "/", "rtsp"]
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if not any(re.search(keyword, url, re.I) for keyword in video_formats):
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print("\n特殊网址: 跳过检测")
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return False
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for _ in range(max_attempts):
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try:
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response = requests.get(url, timeout=0.3)
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return response.status_code == 200
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except requests.RequestException:
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pass
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return False
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# 处理每一行的函数
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def process_line(line, output_file, valid_count, invalid_count):
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parts = line.strip().split(",")
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if len(parts) == 2:
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channel_name, channel_url = parts
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if "genre" in line.lower():
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with threading.Lock():
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output_file.write("\n" +line) # 直接写入原始行
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elif test_connectivity(channel_url):
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with threading.Lock():
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output_file.write(f"{channel_name},{channel_url}\n")
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valid_count[0] += 1
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else:
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with threading.Lock():
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invalid_count[0] += 1
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else:
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with threading.Lock():
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invalid_count[0] += 1
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# 主函数
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def main(source_file_path, output_file_path):
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with open(source_file_path, "r", encoding="utf-8") as source_file:
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lines = source_file.readlines()
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valid_count = [0]
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invalid_count = [0]
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with open(output_file_path, "w", encoding="utf-8") as output_file:
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threads = []
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for line in tqdm(lines, desc="地址有效"):
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thread = threading.Thread(target=process_line, args=(line, output_file, valid_count, invalid_count))
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thread.start()
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threads.append(thread)
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for thread in threads:
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thread.join()
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print(f"任务完成,有效源数量: {valid_count[0]}, 无效源数量: {invalid_count[0]}")
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if __name__ == "__main__":
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try:
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source_file_path = "gat.txt"
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output_file_path = "gat.txt"
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main(source_file_path, output_file_path)
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except Exception as e:
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print(f"程序发生错误: {e}")
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# 无需再打印酒店源，因为这里是对所有URL进行检测，而不是基于IP分组检测
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with open('gat.txt', 'r', encoding='UTF-8') as f:
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lines = f.readlines()
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lines.sort()
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with open('gat.txt', 'w', encoding='UTF-8') as f:
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for line in lines:
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f.write(line)
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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("gat.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("gat.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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from pypinyin import lazy_pinyin
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import re
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import os
|
||
from opencc import OpenCC
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import fileinput
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########################################################################################################################################################################################
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########################################## 打开用户指定的文件打开用户指定的文件打开用户指定的文件
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with open("gat.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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"[浙江]": "浙江",
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"|": "",
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"」": "",
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"标清": "",
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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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"[1080p]": "",
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#"[720p]": "",
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"[540p]": "",
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"[576p]": "",
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"[720*480]": "",
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"[1280*720]": "",
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"[1920*1080]": "",
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"[960*540]": "",
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"SD": "",
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"「": "",
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"IPV6": "",
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"3.5M1080": "",
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"5M1080HEVC": "",
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||
"5.5M1080HEVC": "",
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"8M1080": "",
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||
"4M1080": "",
|
||
"｜": "",
|
||
"[2160p]": "",
|
||
"": "",
|
||
"": "",
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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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"超清": "",
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||
"湖南金鹰纪实": "金鹰纪实",
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"频道": "",
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||
"CCTV-": "CCTV",
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||
"CCTV_": "CCTV",
|
||
" ": "",
|
||
"CCTV高尔夫网球": "高尔夫网球",
|
||
"CCTV发现之旅": "发现之旅",
|
||
"CCTV中学生": "中学生",
|
||
"CCTV兵器科技": "兵器科技",
|
||
"CCTV地理世界": "地理世界",
|
||
"CCTV风云足球": "风云足球",
|
||
"CCTV央视台球": "央视台球",
|
||
"CCTV台球": "台球",
|
||
"CCTV高尔夫网球": "高尔夫网球",
|
||
"CCTV中视购物": "中视购物",
|
||
"CCTV发现之旅": "发现之旅",
|
||
"CCTV中学生": "中学生",
|
||
"CCTV高尔夫网球": "高尔夫网球",
|
||
"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": "",
|
||
"NewTv": "",
|
||
"NEWTV": "",
|
||
"NewTV": "",
|
||
"iHOT": "",
|
||
"CHC": "",
|
||
"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"
|
||
}
|
||
|
||
|
||
# 打开新文本文件准备写入替换后的内容
|
||
with open('2.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)
|
||
|
||
print("替换完成，新文件已保存。")
|
||
|
||
|
||
|
||
|
||
########################################################################################################################################################################################
|
||
# ###########################################定义替换规则的字典,对整行内的内容进行替换
|
||
replacements = {
|
||
"$4.0M1080": "",
|
||
"$5.5M1080": "",
|
||
"$海南移动V4": "",
|
||
"$4.1M1080": "",
|
||
"$8.1M1080": "",
|
||
"$4.0M_1080": "",
|
||
"$5.5M_1080": "",
|
||
"$4.1M_1080": "",
|
||
"$8.0M_1080": "",
|
||
"": "",
|
||
"": "",
|
||
"": "",
|
||
"": "",
|
||
"": "",
|
||
"": "",
|
||
"": "",
|
||
"": "",
|
||
"": "",
|
||
"": "",
|
||
"": "",
|
||
"": "",
|
||
"": "",
|
||
"": "",
|
||
"": "",
|
||
"": "",
|
||
"": "",
|
||
"": "",
|
||
"$7.9M1080": "",
|
||
"$未知480P": "",
|
||
"$8.0M1080": "",
|
||
"$7.6M1080": "",
|
||
"$7.0M1080": "",
|
||
"$6.9M1080": "",
|
||
"$7.8M1080": "",
|
||
"$7.9M_1080": ""
|
||
}
|
||
|
||
# 打开原始文件读取内容，并写入新文件
|
||
with open('2.txt', 'r', encoding='utf-8') as file:
|
||
lines = file.readlines()
|
||
|
||
# 创建新文件并写入替换后的内容
|
||
with open('2.txt', 'w', encoding='utf-8') as new_file:
|
||
for line in lines:
|
||
for old, new in replacements.items():
|
||
line = line.replace(old, new)
|
||
new_file.write(line)
|
||
|
||
print("替换完成，新文件已保存。")
|
||
|
||
|
||
|
||
|
||
|
||
########################################################################################################################################################################################
|
||
#################文本排序
|
||
|
||
# 打开原始文件读取内容，并写入新文件
|
||
with open('2.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('2.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}")
|
||
|
||
|
||
########################################################################################################################################################################################
|
||
################################################################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('2.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('2.txt', 'w', encoding='utf-8') as file:
|
||
file.write(simplified_text)
|
||
|
||
|
||
########################################################################################################################################################################################
|
||
################################################################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 < 800:
|
||
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', 'a0.txt', keywords="央视频道, CCTV")
|
||
check_and_write_file('2.txt', 'a.txt', keywords="央视频道, 湖北, 湖南")
|
||
#check_and_write_file('2.txt', 'a1.txt', keywords="央视频道, 动作电影, 高清电影, 家庭影院, 影迷电影")
|
||
|
||
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, \
|
||
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")
|
||
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, \
|
||
爱玩具, 爱喜剧, 爱悬疑, 爱幼教, 爱院线")
|
||
|
||
|
||
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, \
|
||
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, \
|
||
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, \
|
||
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, \
|
||
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")
|
||
|
||
|
||
|
||
|
||
|
||
###############################################################################################################################################################################################################################
|
||
##############################################################对生成的文件进行合并
|
||
file_contents = []
|
||
file_paths = ["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", "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", "e.txt", "o1.txt", "o.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('gat.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"]
|
||
|
||
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！")
|
||
|
||
|
||
|
||
|
||
|
||
|
||
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！")
|