From d6ed4685700379be4fb0a89aa69d6e31bb98457b Mon Sep 17 00:00:00 2001 From: frxz751113 <156018267+frxz751113@users.noreply.github.com> Date: Sat, 14 Sep 2024 13:37:46 +0800 Subject: [PATCH] =?UTF-8?q?Create=20=E7=BD=91=E7=BB=9C=E6=94=B6=E9=9B=86.p?= =?UTF-8?q?y?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- py/网络收集.py | 682 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 682 insertions(+) create mode 100644 py/网络收集.py diff --git a/py/网络收集.py b/py/网络收集.py new file mode 100644 index 0000000..f136987 --- /dev/null +++ b/py/网络收集.py @@ -0,0 +1,682 @@ +from lxml import etree +import time +import datetime +from datetime import datetime, timedelta # 确保 timedelta 被导入 +import concurrent.futures +from selenium import webdriver +from selenium.webdriver.chrome.options import Options +from concurrent.futures import ThreadPoolExecutor +import requests +import re +import os +import threading +from queue import Queue +import queue +from datetime import datetime +import fileinput +from tqdm import tqdm +from pypinyin import lazy_pinyin +from opencc import OpenCC +import base64 +import cv2 +from bs4 import BeautifulSoup +from urllib.parse import urlparse +from translate import Translator # 导入Translator类,用于文本翻译 +## 定义txt文件的URL列表 +urls = [ + 'https://dimaston.github.io/live.m3u', #假m3u + 'https://raw.githubusercontent.com/gaotianliuyun/gao/master/list.txt', #暂时保留 + 'http://117.72.68.25:9230/latest.txt', + 'http://ttkx.live:55/lib/kx2024.txt', + 'https://raw.githubusercontent.com/kimwang1978/tvbox/main/%E5%A4%A9%E5%A4%A9%E5%BC%80%E5%BF%83/lives/%E2%91%AD%E5%BC%80%E5%BF%83%E7%BA%BF%E8%B7%AF.txt', + 'https://raw.githubusercontent.com/Fairy8o/IPTV/main/PDX-V4.txt', + 'http://gg.gg/cctvgg', + 'https://raw.githubusercontent.com/ddhola/file/d7afb504b1ba4fef31813e1166cb892215a9c063/0609test', + 'https://raw.githubusercontent.com/vbskycn/iptv/2738b3bec8c298f57e0e2052b155846ab6ea3787/dsyy/hd.txt', + 'https://raw.githubusercontent.com/frxz751113/AAAAA/main/IPTV/TW.txt', + 'https://raw.githubusercontent.com/ljlfct01/ljlfct01.github.io/main/list.%E8%87%AA%E7%94%A8', + 'https://notabug.org/qcfree/TVBox-api/raw/main/live.txt', #通用源 + 'https://47.93.222.173/gonglijun010/ys0826/-/raw/05f5829362d550d96c6c3196b3451b6a3effde67/fmml_ipv4_0206.txt?inline=false', + 'https://notabug.org/bxtv/a/raw/master/315.txt', + 'https://raw.githubusercontent.com/xiangjiao169/yf2025/main/yf169.txt', + 'http://ttkx.live:55/lib/kx2024.txt', #天天开心 + 'https://raw.githubusercontent.com/KAN314go/A/e81a1c22cd1b9f459bc363bd916c13133e235510/tv/%E5%AE%89%E5%8D%9A8K.txt', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '', + '' +] +# 合并文件的函数 +def merge_txt_files(urls, output_filename='汇总.txt'): + try: + with open(output_filename, 'w', encoding='utf-8') as outfile: + for url in urls: + try: + response = requests.get(url) + response.raise_for_status() # 确保请求成功 + # 尝试将响应内容解码为UTF-8，如果失败则尝试其他编码 + try: + content = response.content.decode('utf-8') + except UnicodeDecodeError: + content = response.content.decode('gbk') # 尝试GBK编码 + outfile.write(content + '\n') + except requests.RequestException as e: + print(f'Error downloading {url}: {e}') + except IOError as e: + print(f'Error writing to file: {e}') + +# 调用函数 +merge_txt_files(urls) + + + + + + + +#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('汇总.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('汇总.txt', 'w', encoding='utf-8') as file: + file.write(simplified_text) + + + +with open('汇总.txt', 'r', encoding="utf-8") as file: + # 读取所有行并存储到列表中 + lines = file.readlines() +#定义替换规则的字典对频道名替换 +replacements = { + "CCTV-1高清测试": "", + "CCTV-2高清测试": "", + "CCTV-7高清测试": "", + "CCTV-10高清测试": "", + "中央": "CCTV", + "高清""": "", + "HD": "", + "标清": "", + "amc": "AMC", + "CCTV1综合": "CCTV1", + "CCTV2财经": "CCTV2", + "CCTV3综艺": "CCTV3", + "国际": "", + "5体育": "5", + "6电影": "6", + "军农": "", + "8影视": "8", + "9纪录": "9", + "0科教": "0", + "2社会与法": "2", + "3新闻": "3", + "4少儿": "4", + "5音乐": "5", + "": "", + "": "", + "": "", + "": "", + "": "", + "": "", + "咪咕": "", + "": "", + "超清": "", + "频道": "", + "CCTV-": "CCTV", + "CCTV_": "CCTV", + " ": "", + "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": "", + " ": "", + "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" +} +with open('汇总.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) + + + + + + +# 打开文本文件进行读取 +def read_and_process_file(input_filename, output_filename, encodings=['utf-8', 'gbk']): + for encoding in encodings: + try: + with open(input_filename, 'r', encoding=encoding) as file: + lines = file.readlines() + break + except UnicodeDecodeError: + continue + else: + raise ValueError(f"Cannot decode file '{input_filename}' with any of the provided encodings") + + with open(output_filename, 'w', encoding='utf-8') as outfile: + for line in lines: + if '$' in line: + processed_line = line.split('$')[0].rstrip('\n') + outfile.write(processed_line + '\n') + else: + outfile.write(line) + +# 调用函数 +read_and_process_file('汇总.txt', '汇总.txt') # 修改输出文件名以避免覆盖原始文件 + +###################################################################去重##################################### +def remove_duplicates(input_file, output_file): + # 用于存储已经遇到的URL和包含genre的行 + seen_urls = set() + seen_lines_with_genre = set() + # 用于存储最终输出的行 + output_lines = [] + # 打开输入文件并读取所有行 + with open(input_file, 'r', encoding='utf-8') as f: + lines = f.readlines() + print("去重前的行数：", len(lines)) + # 遍历每一行 + for line in lines: + # 使用正则表达式查找URL和包含genre的行,默认最后一行 + urls = re.findall(r'[https]?[http]?[rtsp]?[rtmp]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', line) + genre_line = re.search(r'\bgenre\b', line, re.IGNORECASE) is not None + # 如果找到URL并且该URL尚未被记录 + if urls and urls[0] not in seen_urls: + seen_urls.add(urls[0]) + output_lines.append(line) + # 如果找到包含genre的行，无论是否已被记录，都写入新文件 + if genre_line: + output_lines.append(line) + # 将结果写入输出文件 + with open(output_file, 'w', encoding='utf-8') as f: + f.writelines(output_lines) + print("去重后的行数：", len(output_lines)) +# 使用方法 +remove_duplicates('汇总.txt', '2.txt') + + + + + + +######################################################################################提取goodiptv +import re +import os +# 定义一个包含所有要排除的关键词的列表 +excluded_keywords = [ + 'epg', 'mitv', 'udp', 'rtp', 'P2p', 'p2p', 'p3p', 'P2P', '新闻综合', 'P3p', 'jdshipin', '9930/qilu', '151:99', 'shandong', 'goodiptv', '购物', '[', 'P3P', '腔', '曲', '//1', '/hls/', '春节' + # 在这里添加需要排除的关键词 +] + +# 定义一个包含所有要提取的关键词的列表 +extract_keywords = ['1905', '凤凰卫视', '人间卫视', '亚洲卫视', '香港卫视', '神乐', '翡翠台', '凤凰香港', '凤凰中文', '凤凰资讯', 'AXN', 'AMC', '香蕉', '电影台', '大爱', '东森', 'MTV', + '华视', '中天', '天良', '翡翠台', '美亚', '星影', '纬来', '天映', '无线', '华剧台', '华丽台', '剧台', 'Movie', '八大', '采昌', '靖天', '美亚', '民視', '探索', '旅游', '影视2', + '影视3', '中视', '豬哥亮', 'TVB', '东森', '公视', '华视', '寰宇', '戏剧', '靖', '龙华', '龙祥', '民视', '三立', '中视', '猪哥亮', '综艺', '新闻', '影迷', '影剧', '电视剧' + # 在这里添加需要提取的关键词 +] + +# 读取文件并处理每一行 +with open('2.txt', 'r', encoding='utf-8') as file: + lines = file.readlines() + + # 创建或打开一个输出文件用于写入处理后的数据 + with open('2.txt', 'w', encoding='utf-8') as outfile: + for line in lines: + # 首先检查行是否包含任何提取关键词 + if any(keyword in line for keyword in extract_keywords): + # 如果包含提取关键词，进一步检查行是否不包含任何排除关键词 + if not any(keyword in line for keyword in excluded_keywords): + outfile.write(line) # 写入符合条件的行到文件 + + +############################################################### +import re +def parse_file(input_file_path, output_file_name): + # 正则表达式匹配从'//'开始到第一个'/'或第一个'::'结束的部分 + ip_or_domain_pattern = re.compile(r'//([^/:]*:[^/:]*::[^/:]*|[^/]*)') + # 用于存储每个IP或域名及其对应的行列表 + ip_or_domain_to_lines = {} + # 读取原始文件内容 + with open(input_file_path, 'r', encoding='utf-8') as file: + for line in file: + line = line.strip() + # 如果行是分类标签行，则跳过 + if ",#genre#" in line: + continue + # 检查行是否包含IP或域名 + match = ip_or_domain_pattern.search(line) + if match: + # 提取匹配到的IP或域名 + matched_text = match.group(1) + # 去除IP或域名后的剩余部分，只保留匹配到的IP或域名 + ip_or_domain = matched_text.split('://')[-1].split('/')[0].split('::')[0] + # 将行添加到对应的IP或域名列表中 + if ip_or_domain not in ip_or_domain_to_lines: + ip_or_domain_to_lines[ip_or_domain] = [] + ip_or_domain_to_lines[ip_or_domain].append(line) + ############################################################################### 过滤掉小于1500字节的IP或域名段 + filtered_ip_or_domain_to_lines = {ip_or_domain: lines for ip_or_domain, lines in ip_or_domain_to_lines.items() + if sum(len(line) for line in lines) >= 500} + # 如果没有满足条件的IP或域名段，则不生成文件 + if not filtered_ip_or_domain_to_lines: + print("没有满足条件的IP或域名段，不生成文件。") + return + # 合并所有满足条件的IP或域名的行到一个文件 + with open(output_file_name, 'w', encoding='utf-8') as output_file: + for ip_or_domain, lines in filtered_ip_or_domain_to_lines.items(): + # 写入IP或域名及其对应的行到输出文件 + output_file.write(f"频道,#genre#\n") + for line in lines: + output_file.write(line + '\n') + output_file.write('\n') # 在每个小段后添加一个空行作为分隔 +# 调用函数并传入文件路径和输出文件名 +parse_file('2.txt', '2.txt') + + + +import cv2 +import time +import re +from tqdm import tqdm + +# 初始化字典 +detected_ips = {} + +# 存储文件路径，使用通配符表示文件名以'网络收集'开头并以'.txt'结尾 +file_path_pattern = '*网络收集.txt' +output_file_path = None + +def get_ip_key(url): + """从 URL 中提取 IP 地址，并构造一个唯一的键""" + start = url.find('://') + 3 + end = url.find('/', start) + return url[start:end] if end!= -1 else None + +def process_file(file_path): + # 打开输入文件 + with open(file_path, 'r', encoding='utf-8') as file: + lines = file.readlines() + + # 获取总行数用于进度条 + total_lines = len(lines) + + # 临时输出文件路径 + temp_output_file_path = file_path + '.temp' + + # 写入通过检测的行到临时新文件 + with open(temp_output_file_path, 'a', encoding='utf-8') as output_file: + for i, line in tqdm(enumerate(lines), total=total_lines, desc="Processing", unit='line'): + if 'genre' in line: + output_file.write(line) + continue + parts = line.split(',', 1) + if len(parts) == 2: + channel_name, url = parts + channel_name = channel_name.strip() + url = url.strip() + ip_key = get_ip_key(url) + if ip_key and ip_key in detected_ips: + if detected_ips[ip_key]['status'] == 'ok': + output_file.write(line) + elif ip_key: + cap = cv2.VideoCapture(url) + start_time = time.time() + frame_count = 0 + while frame_count < 50 and (time.time() - start_time) < 3: + ret, frame = cap.read() + if not ret: + break + frame_count += 1 + cap.release() + if frame_count >= 50: + detected_ips[ip_key] = {'status': 'ok'} + output_file.write(line) + else: + detected_ips[ip_key] = {'status': 'fail'} + + # 打印结果 + for ip_key, result in detected_ips.items(): + print(f"IP Key: {ip_key}, Status: {result['status']}") + + # 执行去重操作 + seen_urls = set() + seen_lines_with_genre = set() + output_lines = [] + with open(temp_output_file_path, 'r', encoding='utf-8') as f: + lines = f.readlines() + print("去重前的行数：", len(lines)) + for line in lines: + 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 + if urls and urls[0] not in seen_urls: + seen_urls.add(urls[0]) + output_lines.append(line) + if genre_line: + output_lines.append(line) + + # 将结果写回原文件 + with open(file_path, 'w', encoding='utf-8') as f: + f.writelines(output_lines) + print("去重后的行数：", len(output_lines)) + +# 获取当前目录下符合模式的文件并处理 +import os +directory = '.' +for filename in os.listdir(directory): + if filename.startswith('网络收集') and filename.endswith('.txt'): + output_file_path = filename + process_file(output_file_path) + + + + + + + +import requests +import time +import cv2 +from urllib.parse import urlparse +from tqdm import tqdm + +# 测试 HTTP 连接并尝试下载数据 +def test_connectivity_and_download(url, initial_timeout=3, retry_timeout=5): + parsed_url = urlparse(url) + if parsed_url.scheme not in ['http', 'https']: + # 非 HTTP(s)协议，尝试 RTSP 检测 + return test_rtsp_connectivity(url, retry_timeout) + else: + # HTTP(s)协议，使用原始方法 + try: + with requests.get(url, stream=True, timeout=initial_timeout) as response: + if 200 <= response.status_code <= 403: + start_time = time.time() + while time.time() - start_time < initial_timeout: + chunk = response.raw.read(256) # 尝试下载 1KB 数据 + if chunk: + return True # 成功下载数据 + except requests.RequestException as e: + print(f"请求异常: {e}") + pass + return False # 默认返回 False + +print("/" * 80) + +# 测试 RTSP 连接并尝试读取流 +def test_rtsp_connectivity(url, timeout=5): + cap = cv2.VideoCapture(url) + if not cap.isOpened(): + return False + start_time = time.time() + while time.time() - start_time < timeout: + ret, _ = cap.read() + if ret: + return True # 成功读取帧 + cap.release() + return False + +def process_file(file_path_pattern): + import os + for filename in os.listdir('.'): + if filename.startswith('网络收集') and filename.endswith('.txt'): + input_file = filename + output_file = filename + with open(input_file, "r", encoding="utf-8") as source_file: + lines = source_file.readlines() + results = [] + for line_number, line in enumerate(tqdm(lines, desc="检测中")): + parts = line.strip().split(",") + if len(parts) == 2 and parts[1]: + channel_name, channel_url = parts + try: + is_valid = test_connectivity_and_download(channel_url) + except Exception as e: + print(f"检测 URL {channel_url} 时发生错误: {e}") + is_valid = False + status = "有效" if is_valid else "无效" + if "genre" in line.lower() or status == "有效": + results.append((channel_name.strip(), channel_url.strip(), status)) + # 写入文件 + with open(output_file, "w", encoding="utf-8") as output_file: + for channel_name, channel_url, status in results: + output_file.write(f"{channel_name},{channel_url}\n") + + print(f"任务完成, 有效源数量: {len([x for x in results if x[2] == '有效'])}, 无效源数量: {len([x for x in results if x[2] == '无效'])}") + +if __name__ == "__main__": + process_file('*网络收集.txt') + + + + + + + + +import re +from pypinyin import lazy_pinyin +import datetime + +def process_file(file_path_pattern): + import os + for filename in os.listdir('.'): + if filename.startswith('网络收集') and filename.endswith('.txt'): + input_file = filename + output_file = filename + # 打开一个 utf-8 编码的文本文件 + with open(input_file, "r", encoding="utf-8") as file: + # 读取所有行并存储到列表中 + lines = file.readlines() + # 定义一个函数，用于提取每行的第一个数字 + def extract_first_number(line): + match = re.search(r'\d+', line) + return int(match.group()) if match else float('inf') + # 对列表中的行进行排序，按照第一个数字的大小排列，其余行按中文排序 + sorted_lines = sorted(lines, key=lambda x: (not 'CCTV' in x, extract_first_number(x) if 'CCTV' in x else lazy_pinyin(x.strip()))) + # 将排序后的行写入新的 utf-8 编码的文本文件 + with open(output_file, "w", encoding="utf-8") as file: + for line in sorted_lines: + file.write(line) + + # 正则表达式匹配从'//'开始到第一个'/'或第一个'::'结束的部分 + ip_or_domain_pattern = re.compile(r'//([^/:]*:[^/:]*::[^/:]*|[^/]*)') + # 用于存储每个 IP 或域名及其对应的行列表 + ip_or_domain_to_lines = {} + # 用于生成分类名的字母和数字计数器 + alphabet_counter = 0 # 字母计数器，从 0 开始 + number_counter = 1 # 数字计数器，从 1 开始 + # 读取原始文件内容 + with open(output_file, 'r', encoding='utf-8') as file: + for line in file: + line = line.strip() + # 如果行是分类标签行，则跳过 + if ",#genre#" in line: + continue + # 检查行是否包含 IP 或域名 + match = ip_or_domain_pattern.search(line) + if match: + # 提取匹配到的 IP 或域名 + matched_text = match.group(1) + # 去除 IP 或域名后的剩余部分，只保留匹配到的 IP 或域名 + ip_or_domain = matched_text.split('://')[-1].split('/')[0].split('::')[0] + # 将行添加到对应的 IP 或域名列表中 + if ip_or_domain not in ip_or_domain_to_lines: + ip_or_domain_to_lines[ip_or_domain] = [] + ip_or_domain_to_lines[ip_or_domain].append(line) + # 过滤掉小于 1000 字节的 IP 或域名段 + filtered_ip_or_domain_to_lines = {ip_or_domain: lines for ip_or_domain, lines in ip_or_domain_to_lines.items() + if sum(len(line) for line in lines) >= 300} # 过滤掉小于 1000 字节的 IP 或域名段 + # 如果没有满足条件的 IP 或域名段，则不生成文件 + if not filtered_ip_or_domain_to_lines: + print("没有满足条件的 IP 或域名段，不生成文件。") + return + # 合并所有满足条件的 IP 或域名的行到一个文件 + with open(output_file, 'w', encoding='utf-8') as output_file: + for ip_or_domain, lines in filtered_ip_or_domain_to_lines.items(): + # 检查是否需要递增数字计数器 + if alphabet_counter >= 26: + number_counter += 1 + alphabet_counter = 0 # 重置字母计数器 + # 生成分类名 + genre_name = chr(65 + alphabet_counter) + str(number_counter) + output_file.write(f"{genre_name},#genre#\n") + for line in lines: + output_file.write(line + '\n') + output_file.write('\n') # 在每个小段后添加一个空行作为分隔 + alphabet_counter += 1 # 递增字母计数器 + + now = datetime.datetime.utcnow() + datetime.timedelta(hours=8) + current_time = now.strftime("%m/%d %H:%M") + # 打开文本文件并将时间添加到开头 + with open(output_file, 'r+', encoding='utf-8') as f: + content = f.read() + f.seek(0, 0) + f.write(f'{current_time}更新,#genre#\n') + f.write(f'虚情的爱,https://vd2.bdstatic.com/mda-mi1dd05gmhwejdwn/sc/cae_h264/1630576203346678103/mda-mi1dd05gmhwejdwn.mp4\n{content}') + +process_file('*网络收集.txt') + + + +################################################################################################任务结束，删除不必要的过程文件 +files_to_remove = ["2.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，频道列表可查看文件夹内源.txt文件！") + +