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291 lines
11 KiB
291 lines
11 KiB
import time
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import asyncio
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import random
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import re
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import json
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import os
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import concurrent.futures
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import httpx
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max_workers = 2
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proxies="http://127.0.0.1:7890"
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def check_urls_json_exists(key):
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downloads_path = os.path.join(os.getcwd(), "downloads")
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for root, dirs, files in os.walk(downloads_path):
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if f"{key}.json" in files:
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json_path = root.split('/')[-1]
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print(f'json文件已存在 {json_path} 中')
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return True
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return False
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def check_and_load_keys():
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# 从 keys.txt 文件中读取 key
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keys = []
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keys_file = os.path.join(os.getcwd(), "keys.txt")
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if not os.path.exists(keys_file):
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print("keys.txt 文件不存在\n新建keys.txt文件。")
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with open(keys_file, "w", encoding="utf-8") as f:
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f.write("")
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exit(0)
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with open(keys_file, "r", encoding="utf-8") as f:
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keys = [line.strip() for line in f.readlines()]
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if keys:
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return keys
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else:
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print("keys.txt 文件为空\n请填写key。")
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exit(0)
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async def fetch_page(client, url):
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try:
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response = await client.get(url)
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response.raise_for_status() # 检查请求是否成功
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return response.text
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except httpx.HTTPError as e:
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print(f"请求失败: {e}")
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return None
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def extract_image_links(content):
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# 使用正则表达式提取图片链接
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pattern = r'<meta itemprop="image" content="(.*?)">'
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image_links = re.findall(pattern, content)
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return image_links
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def clean_folder_name(title):
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# 清洗标题,使其成为 Windows 文件夹合法字符
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invalid_chars = r'[<>:"/\\|?*\x00-\x1F]'
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title = re.sub(invalid_chars, '_', title) # 替换非法字符为下划线
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title = title.replace(" ", "") # 删除空格
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title = title.replace("_", "") # 删除下划线
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return title.strip()
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async def get_urls(key):
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# 这里判定一下, 这个 key 是否已经爬取过
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is_exists = check_urls_json_exists(key)
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if is_exists:
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print(f"{key}.json 文件已存在,跳过爬取。")
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return
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base_url = f"https://www.kaizty.com/photos/{key}.html?page="
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data = {}
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folder_name = "default_folder" # 默认文件夹名
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async with httpx.AsyncClient(proxies=proxies) as client:
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n = 1
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for page in range(1, 30):
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url = base_url + str(page)
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print(f"正在爬取页面: {url}")
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content = await fetch_page(client, url)
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if content is None:
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print(f"无法获取页面内容: {url}")
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continue
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# 检查页面内容是否为空
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if "EMPTY" in content:
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print("页面内容为空,停止爬取。")
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break
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# 获取标题(仅在第一页获取)
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if page == 1:
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title_pattern = r'<title>(.*?)</title>'
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title_match = re.search(title_pattern, content)
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if title_match:
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title = title_match.group(1)
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folder_name = clean_folder_name(title)
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print(f"页面标题: {title}")
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print(f"清洗后的文件夹名: {folder_name}")
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else:
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print("无法获取页面标题,使用默认文件夹名。")
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# 提取图片链接
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image_links = extract_image_links(content)
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if image_links:
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print(f"在页面 {url} 中找到图片链接:")
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for link in image_links:
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print(link)
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prefix = str(n).zfill(3)
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suffix = link.split('.')[-1]
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img_name = f'{prefix}.{suffix}'
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data[img_name] = link
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n += 1
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else:
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print(f"页面 {url} 中未找到图片链接。")
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# 创建文件夹并保存数据
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downloads_path = os.path.join(os.getcwd(), "downloads")
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if not os.path.exists(downloads_path):
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os.makedirs(downloads_path)
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print("创建了 downloads 文件夹。")
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folder_path = os.path.join(downloads_path, folder_name)
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if not os.path.exists(folder_path):
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os.makedirs(folder_path)
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print(f"创建了文件夹: {folder_path}")
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data_file_path = os.path.join(folder_path, f"{key}.json")
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with open(data_file_path, "w", encoding="utf-8") as f:
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json.dump(data, f, ensure_ascii=False, indent=4)
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print(f"数据已保存到 {data_file_path}")
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return [folder_name, data_file_path]
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def load_imgs_url_and_patn():
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result = []
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downloads_path = os.path.join(os.getcwd(), "downloads")
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for root, dirs, files in os.walk(downloads_path):
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for file in files:
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if file.endswith(".json"):
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json_path = os.path.join(root, file)
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with open(json_path, "r", encoding="utf-8") as f:
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data = json.load(f)
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for img_name, img_url in data.items():
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img_path = os.path.join(root, img_name)
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if not os.path.exists(img_path):
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result.append([img_path, img_url])
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return result
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def save_img(client, img_path, img_url, max_retries=999):
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retries = 0
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headers = {
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"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7",
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"Accept-Encoding": "gzip, deflate, br, zstd",
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"Accept-Language": "zh-CN,zh;q=0.9",
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"Priority": "u=0, i",
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"Sec-CH-UA": '"Chromium";v="134", "Not:A-Brand";v="24", "Google Chrome";v="134"',
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"Sec-CH-UA-Mobile": "?1",
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"Sec-CH-UA-Platform": '"Android"',
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"Sec-Fetch-Dest": "document",
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"Sec-Fetch-Mode": "navigate",
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"Sec-Fetch-Site": "none",
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"Sec-Fetch-User": "?1",
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"Upgrade-Insecure-Requests": "1",
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"User-Agent": "Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/134.0.0.0 Mobile Safari/537.36"
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}
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while retries < max_retries:
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try:
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# 使用传入的 client 下载图片,并设置请求头
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response = client.get(img_url, headers=headers, timeout=10)
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response.raise_for_status() # 检查请求是否成功
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# 保存图片到指定路径
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os.makedirs(os.path.dirname(img_path), exist_ok=True)
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with open(img_path, "wb") as f:
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f.write(response.content)
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print(f"图片已下载并保存到 {img_path}")
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time.sleep(random.uniform(1, 1.5))
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return # 成功下载后退出函数
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except httpx.HTTPStatusError as e:
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switch_to_random_proxy()
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if e.response.status_code == 429:
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# 如果是 429 错误,获取 Retry-After 时间
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retry_after = int(e.response.headers.get('Retry-After', 3))
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print(f"遇到 429 错误,等待 {retry_after} 秒后重试...")
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time.sleep(retry_after)
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retries += 1
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else:
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print(f"下载图片失败: {img_path.split('/')[-1]},错误码: {e.response.status_code}")
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break
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except Exception as e:
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print(f"保存图片时发生错误: {e}")
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break
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if retries == max_retries:
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print(f"图片下载失败,已达到最大重试次数: {img_path}")
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def switch_to_random_proxy(clash_api_url="http://127.0.0.1:9090", group_name="GLOBAL"):
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"""
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随机切换代理组中的一个节点(排除当前节点和 DIRECT/REJECT)
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:param clash_api_url: Clash RESTful API 地址,默认为 "http://127.0.0.1:9090"
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:param group_name: 代理组名称,默认为 "GLOBAL"
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"""
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try:
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# 获取代理组的所有节点
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response = httpx.get(f"{clash_api_url}/proxies")
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response.raise_for_status()
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proxies = response.json()
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if group_name not in proxies['proxies']:
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print(f"代理组 '{group_name}' 不存在")
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return
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group_info = proxies['proxies'][group_name]
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if group_info['type'] != 'Selector':
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print(f"'{group_name}' 不是 Selector 类型的代理组")
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return
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# 获取当前使用的节点
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current_node = group_info['now']
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print(f"当前节点: {current_node}")
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# 获取所有可选节点(排除 DIRECT 和 REJECT)
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nodes = [node for node in group_info['all'] if node not in ["DIRECT", "REJECT"]]
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if not nodes:
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print("没有可用的代理节点")
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return
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# 随机选择一个非当前节点的代理
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available_nodes = [node for node in nodes if node != current_node]
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if not available_nodes:
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print("没有其他可用的代理节点")
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return
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random_node = random.choice(available_nodes)
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print(f"正在切换到随机节点: {random_node}")
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# 切换节点
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switch_url = f"{clash_api_url}/proxies/{group_name}"
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response = httpx.put(switch_url, json={"name": random_node})
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if response.status_code == 204:
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print(f"成功切换到节点: {random_node}")
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else:
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print(f"切换节点失败: {response.status_code}")
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except httpx.exceptions.RequestException as e:
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print(f"请求失败: {e}")
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def main():
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keys = check_and_load_keys()
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# 在这里获取当前路径并且判定如果没有downloads文件夹的话,就创建一个
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downloads_path = os.path.join(os.getcwd(), "downloads")
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if not os.path.exists(downloads_path):
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os.makedirs(downloads_path)
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print("创建了 downloads 文件夹。")
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for key in keys:
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# 调用异步函数
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result = asyncio.run(get_urls(key))
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if result:
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folder_name = result[0]
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data_file_path = result[1]
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print(f"处理完成,文件夹名称: {folder_name}, 数据保存路径: {data_file_path}")
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print(f'已获取全部keys的url数据, 开始下载图片')
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time.sleep(0.1)
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all_data = load_imgs_url_and_patn()
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# 创建一个全局的 httpx.Client 实例
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with httpx.Client(proxies=proxies) as client:
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# 使用线程池并发下载图片
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with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
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futures = []
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for img_path, img_url in all_data:
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futures.append(executor.submit(save_img, client, img_path, img_url))
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# 等待所有线程完成
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for future in concurrent.futures.as_completed(futures):
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future.result() # 捕获异常(如果有)
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print("所有图片下载完成!")
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if __name__ == "__main__":
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main()
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