107 lines
3.8 KiB
Python
107 lines
3.8 KiB
Python
import requests
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import pandas as pd
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import re
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import os
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urls = [
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"https://gh.tryxd.cn/https://raw.githubusercontent.com/alantang1977/JunTV/refs/heads/main/output/result.m3u",
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"https://gh.tryxd.cn/https://raw.githubusercontent.com/zwc456baby/iptv_alive/master/live.txt",
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"http://rihou.cc:55/lib/kx2024.txt",
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"http://aktv.space/live.m3u",
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"https://gh.tryxd.cn/https://raw.githubusercontent.com/tianya7981/jiekou/refs/heads/main/野火959",
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"https://codeberg.org/alfredisme/mytvsources/raw/branch/main/mylist-ipv6.m3u",
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"https://codeberg.org/lxxcp/live/raw/branch/main/gsdx.txt",
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"https://live.zbds.top/tv/iptv6.txt",
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"https://live.zbds.top/tv/iptv4.txt",
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]
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ipv4_pattern = re.compile(r'^http://(\d{1,3}\.){3}\d{1,3}')
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ipv6_pattern = re.compile(r'^http://\[([a-fA-F0-9:]+)\]')
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def fetch_streams_from_url(url):
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print(f"正在爬取网站源: {url}")
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try:
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response = requests.get(url, timeout=20)
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response.encoding = 'utf-8'
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if response.status_code == 200:
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return response.text
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print(f"从 {url} 获取数据失败，状态码: {response.status_code}")
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except requests.exceptions.RequestException as e:
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print(f"请求 {url} 时发生错误: {e}")
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return None
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def fetch_all_streams():
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all_streams = []
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for url in urls:
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if content := fetch_streams_from_url(url):
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all_streams.append(content)
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else:
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print(f"跳过来源: {url}")
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return "\n".join(all_streams)
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def parse_m3u(content):
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streams = []
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current_program = None
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for line in content.splitlines():
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if line.startswith("#EXTINF"):
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if match := re.search(r'tvg-name="([^"]+)"', line):
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current_program = match.group(1).strip()
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elif line.startswith("http"):
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if current_program:
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streams.append({"program_name": current_program, "stream_url": line.strip()})
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current_program = None
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return streams
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def parse_txt(content):
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streams = []
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for line in content.splitlines():
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if match := re.match(r"(.+?),\s*(http.+)", line):
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streams.append({
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"program_name": match.group(1).strip(),
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"stream_url": match.group(2).strip()
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})
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return streams
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def organize_streams(content):
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parser = parse_m3u if content.startswith("#EXTM3U") else parse_txt
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df = pd.DataFrame(parser(content))
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df = df.drop_duplicates(subset=['program_name', 'stream_url'])
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return df.groupby('program_name')['stream_url'].apply(list).reset_index()
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def save_to_txt(grouped_streams, filename="iptv.txt"):
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ipv4 = []
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ipv6 = []
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for _, row in grouped_streams.iterrows():
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program = row['program_name']
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for url in row['stream_url']:
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if ipv4_pattern.match(url):
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ipv4.append(f"{program},{url}")
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elif ipv6_pattern.match(url):
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ipv6.append(f"{program},{url}")
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with open(filename, 'w', encoding='utf-8') as f:
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f.write("# IPv4 Streams\n" + "\n".join(ipv4))
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f.write("\n\n# IPv6 Streams\n" + "\n".join(ipv6))
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print(f"文本文件已保存: {os.path.abspath(filename)}")
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def save_to_m3u(grouped_streams, filename="iptv.m3u"):
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with open(filename, 'w', encoding='utf-8') as f:
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f.write("#EXTM3U\n")
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for _, row in grouped_streams.iterrows():
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program = row['program_name']
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for url in row['stream_url']:
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f.write(f'#EXTINF:-1 tvg-name="{program}",{program}\n{url}\n')
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print(f"M3U文件已保存: {os.path.abspath(filename)}")
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if __name__ == "__main__":
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print("开始抓取所有源...")
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if content := fetch_all_streams():
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print("整理源数据中...")
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organized = organize_streams(content)
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save_to_txt(organized)
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save_to_m3u(organized)
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else:
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print("未能获取有效数据")
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