Delete py/在线V4源优选.py
This commit is contained in:
frxz751113
GitHub
-338
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import time
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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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import os
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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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from opencc import OpenCC
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import base64
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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
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url = "https://raw.githubusercontent.com/yuanzl77/IPTV/main/live.txt" #源采集地址
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r = requests.get(url)
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open('源2.txt','wb').write(r.content)
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###################################################################################################
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import codecs
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# 打开原始文件并读取内容
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with codecs.open('源2.txt', 'r', 'utf-8') as file:
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lines = file.readlines()
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# 处理每一行，去除每行中最后一个"$"及其后面的所有内容，并确保每行以换行符结束
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processed_lines = []
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for line in lines:
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if '$' in line:
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# 查找最后一个"$"的位置
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index_of_last_dollar = line.rfind('$')
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# 截取从行首到"$"之前的内容，并确保以换行符结束
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processed_line = line[:index_of_last_dollar].rstrip() + '\n'
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processed_lines.append(processed_line)
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else:
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# 如果没有"$"，则直接添加到列表，确保以换行符结束
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processed_lines.append(line.rstrip() + '\n')
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# 将处理后的内容写入新文件
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with codecs.open('源.txt', 'w', 'utf-8') as file:
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file.writelines(processed_lines)
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###################################################################################################
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###################################################################################################
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# 使用with语句打开输入文件进行读取
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with open("源.txt", 'r', encoding='utf-8') as file:
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lines = file.readlines()
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# 使用列表推导式过滤行
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filtered_lines = [
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line for line in lines
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if any(substr.lower() in line.lower() for substr in ['CCTV', '卫视', '4K', '4k', '8K', '影', '剧', '经典', 'TVB', '澳门', '龙华', '民视', '中视', '华视', 'AXN', 'MOMO', '采昌', '耀才', \
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'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', \
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'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', \
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'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', \
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'CN卡通', 'CNBC', 'CNBC', 'CinemaWorld', 'Cinemax', 'DMAX', 'Dbox', 'Dreamworks', 'ESPN', 'Euronews', 'Eurosports1', 'FESTIVAL', 'GOOD2', 'HBO家庭', \
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'HBO', 'HISTORY', 'HOY国际财经', 'HakkaTV', 'J2', 'KOREA', 'LISTENONSPOTIFY', 'LUXE', 'MCE', 'MTV', 'Now', 'PremierSports', 'ROCK', 'SPOTV', 'TiTV', \
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'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', \
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'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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and not any(substr.lower() in line.lower() for substr in ['epg', 'mitv', 'udp#', 'rtp#', '[', 'P2P', 'p2p', 'P3P'])
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]
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# 使用with语句打开输出文件进行写入
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with open("源.txt", 'w', encoding='utf-8') as output_file:
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output_file.writelines(filtered_lines)
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print("文件过滤完成。")
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###################################################################################################
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#################################################### 对整理好的频道列表测试HTTP连接
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def test_connectivity(url, max_attempts=1): #定义测试HTTP连接的次数
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# 尝试连接指定次数
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for _ in range(max_attempts):
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try:
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response = requests.head(url, timeout=1) # 发送HEAD请求,仅支持V4,修改此行数字可定义链接超时##////////////////////////////////////////////////////////////////////////////////////////////////////////////////
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#response = requests.get(url, timeout=0.3) # 发送get请求,支持V6,修改此行数字可定义链接超时##############################//////////////////////////////////////////////////////////////////////////////////////
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return response.status_code == 200 # 返回True如果状态码为200
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except requests.RequestException: # 捕获requests引发的异常
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pass # 发生异常时忽略
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#return False # 如果所有尝试都失败,返回False
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pass
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# 使用队列来收集结果的函数
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def process_line(line, result_queue):
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parts = line.strip().split(",") # 去除行首尾空白并按逗号分割
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if len(parts) == 2 and parts[1]: # 确保有URL,并且URL不为空
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channel_name, channel_url = parts # 分别赋值频道名称和URL
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if test_connectivity(channel_url): # 测试URL是否有效
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result_queue.put((channel_name, channel_url, "有效")) # 将结果放入队列
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else:
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result_queue.put((channel_name, channel_url, "无效")) # 将结果放入队列
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else:
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# 格式不正确的行不放入队列
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pass
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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: # 打开源文件
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lines = source_file.readlines() # 读取所有行s
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result_queue = queue.Queue() # 创建队列
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threads = [] # 初始化线程列表
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for line in tqdm(lines, desc="检测进行中"): # 显示进度条
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thread = threading.Thread(target=process_line, args=(line, result_queue)) # 创建线程
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thread.start() # 启动线程
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threads.append(thread) # 将线程加入线程列表
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for thread in threads: # 等待所有线程完成
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thread.join()
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# 初始化计数器
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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: # 打开输出文件
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for _ in range(result_queue.qsize()): # 使用队列的大小来循环
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item = result_queue.get() # 获取队列中的项目
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# 只有在队列中存在有效的项目时才写入文件
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if item[0] and item[1]: # 确保channel_name和channel_url都不为None
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output_file.write(f"{item[0]},{item[1]},{item[2]}\n") # 写入文件
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if item[2] == "有效": # 统计有效源数量
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valid_count += 1
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else: # 统计无效源数量
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invalid_count += 1
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print(f"任务完成, 有效源数量: {valid_count}, 无效源数量: {invalid_count}") # 打印结果
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if __name__ == "__main__":
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try:
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source_file_path = "源.txt" # 输入源文件路径
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output_file_path = "源1.txt" # 设置输出文件路径
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main(source_file_path, output_file_path) # 调用main函数
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except Exception as e:
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print(f"程序发生错误: {e}") # 打印错误信息
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#########################################################################提取源1中的有效行
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def filter_lines(file_path):
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with open(file_path, 'r', encoding='utf-8') as file: # 打开文件
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lines = file.readlines() # 读取所有行
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filtered_lines = [] # 初始化过滤后的行列表
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for line in lines: # 遍历所有行
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if 'genre' in line or '有效' in line: # 如果行中包含'genre'或'有效'
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filtered_lines.append(line) # 将行添加到过滤后的行列表
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return filtered_lines # 返回过滤后的行列表
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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: # 打开输出文件
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output_file.writelines(filtered_lines) # 写入过滤后的行
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if __name__ == "__main__":
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input_file_path = "源1.txt" # 设置输入文件路径
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output_file_path = "源1.txt" # 设置输出文件路径
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filtered_lines = filter_lines(input_file_path) # 调用filter_lines函数
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write_filtered_lines(output_file_path, filtered_lines) # 调用write_filtered_lines函数
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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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",有效": "", # 将",有效"替换为空字符串
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"#genre#,无效": "#genre#", # 将"#genre#,无效"替换为"#genre#"
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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('源1.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('源1.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(): # 遍历替换规则字典
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line = line.replace(old, new) # 替换行中的内容
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new_file.write(line) # 写入新文件
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print("新文件已保存。") # 打印完成信息
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# 初始化优选字典
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detected_ips = {}
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# 存储文件路径
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file_path = "源1.txt"
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output_file_path = "优选.txt"
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def get_ip_key(url):
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"""从URL中提取IP地址,并构造一个唯一的键"""
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# 找到'//'到第三个'.'之间的字符串
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start = url.find('://') + 3 # '://'.length 是 3
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end = start
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dot_count = 0
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while dot_count < 3:
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end = url.find('.', end)
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if end == -1: # 如果没有找到第三个'.',就结束
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break
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dot_count += 1
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return url[start:end] if dot_count == 3 else None
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# 打开输入文件和输出文件
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with open(file_path, 'r', encoding='utf-8') as file:
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lines = file.readlines()
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# 获取总行数用于进度条
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total_lines = len(lines)
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# 写入通过检测的行到新文件
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with open(output_file_path, 'w', encoding='utf-8') as output_file:
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# 使用tqdm显示进度条
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for i, line in tqdm(enumerate(lines), total=total_lines, desc="Processing", unit='line'):
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# 检查是否包含 'genre'
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if 'genre' in line:
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output_file.write(line)
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continue
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# 分割频道名称和URL,并去除空白字符
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parts = line.split(',', 1)
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if len(parts) == 2:
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channel_name, url = parts
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channel_name = channel_name.strip()
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url = url.strip()
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# 构造IP键
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ip_key = get_ip_key(url)
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if ip_key and ip_key in detected_ips:
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# 如果IP键已存在,根据之前的结果决定是否写入新文件
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if detected_ips[ip_key]['status'] == 'ok':
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output_file.write(line)
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elif ip_key: # 新IP键,进行检测
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# 进行检测
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cap = cv2.VideoCapture(url)
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start_time = time.time()
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frame_count = 0
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# 尝试捕获5秒内的帧
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while frame_count < 220 and (time.time() - start_time) < 10:#//////////////////////////////////////////////////////////////////////////////////////###########
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ret, frame = cap.read()
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if not ret:
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break
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frame_count += 1
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# 释放资源
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cap.release()
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# 根据捕获的帧数判断状态并记录结果#////////////////////////////////////////////////////////////////////////////////////////////////////////////////###########
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if frame_count >= 220: #5秒内超过100帧则写入#/////////////////////////////////////////////////////////////////////////////////////////////////////###########
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detected_ips[ip_key] = {'status': 'ok'}
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output_file.write(line) # 写入检测通过的行
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else:
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detected_ips[ip_key] = {'status': 'fail'}
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# 打印优选
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for ip_key, result in detected_ips.items():
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print(f"IP Key: {ip_key}, Status: {result['status']}")
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###############################################################################文本排序
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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('优选.txt', 'r', encoding='utf-8') as file:
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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
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# 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
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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，文件名基于原文件名
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output_file_path = "sorted_" + os.path.basename(file_path)
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# 写入新文件
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with open('优选.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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print(f"文件已排序并保存为新文件")
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########################################################################定义关键词分割规则,分类提取
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def check_and_write_file(input_file, output_file, keywords):
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# 使用 split(', ') 而不是 split(',') 来分割关键词
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keywords_list = keywords.split(', ')
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first_keyword = keywords_list[0] # 获取第一个关键词作为头部信息
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pattern = '|'.join(re.escape(keyword) for keyword in keywords_list)
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extracted_lines = False
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with open(input_file, 'r', encoding='utf-8') as file:
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lines = file.readlines()
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with open(output_file, 'w', encoding='utf-8') as out_file:
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out_file.write(f'{first_keyword},#genre#\n') # 使用第一个关键词作为头部信息
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for line in lines:
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if 'genre' not in line and 'epg' not in line:
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if re.search(pattern, line):
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out_file.write(line)
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extracted_lines = True
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# 如果没有提取到任何关键词,则不保留输出文件
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if not extracted_lines:
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os.remove(output_file) # 删除空的输出文件
|
|
||||||
print(f"未提取到关键词,{output_file} 已被删除。")
|
|
||||||
else:
|
|
||||||
print(f"文件已提取关键词并保存为: {output_file}")
|
|
||||||
# 按类别提取关键词并写入文件
|
|
||||||
# 按类别提取关键词并写入文件
|
|
||||||
check_and_write_file('优选.txt', 'a0.txt', keywords="央视频道, 8K, 4K, 4k")
|
|
||||||
check_and_write_file('优选.txt', 'a.txt', keywords="央视频道, CCTV")
|
|
||||||
#check_and_write_file('优选.txt', 'a1.txt', keywords="央视频道, 文物宝库, 风云音乐, 生活时尚, 台球, 网球, 足球, 女性, 地理, 纪实科教, 纪实人文, 兵器, 北京纪实, 发现, 法治")
|
|
||||||
|
|
||||||
check_and_write_file('优选.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")
|
|
||||||
check_and_write_file('优选.txt', 'b.txt', keywords="卫视频道, 卫视")
|
|
||||||
|
|
||||||
check_and_write_file('优选.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, 影, 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, 剧, 热播精选")
|
|
||||||
check_and_write_file('优选.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('优选.txt', 'c2.txt', keywords="影视频道, 炫舞, 健康, 农业致富, 军事评论, 农业致富, 哒啵赛事, 怡伴健康, 武博世界, 超级综艺, 哒啵, HOT, 炫舞未来, 精品体育, 精品萌宠, 精品记录, 超级体育, 金牌, 武术世界, 精品纪录")
|
|
||||||
|
|
||||||
#check_and_write_file('优选.txt', 'd.txt', keywords="少儿频道, 少儿, 卡通, 动漫, 宝贝, 哈哈")
|
|
||||||
|
|
||||||
check_and_write_file('优选.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))
|
|
||||||
#
|
|
||||||
##################################################################### 打开文档并读取所有行 ,对提取后重复的频道去重
|
|
||||||
with open('去重.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('网络优选.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 = ['源.txt', "源1.txt", "源2.txt", "去重.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", "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", "优选.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,优选频道列表可查看文件夹内txt文件！")
|
|
||||||
Reference in New Issue
Block a user