spider_kaizty/kaizty_spider.py

import time
import asyncio
import random
import re
import json
import os
import concurrent.futures
import httpx

max_workers = 2
proxies="http://127.0.0.1:7890"
def check_urls_json_exists(key):
    downloads_path = os.path.join(os.getcwd(), "downloads")
    for root, dirs, files in os.walk(downloads_path):
        if f"{key}.json" in files:
            json_path = root.split('/')[-1]
            print(f'json文件已存在 {json_path} 中')
            return True
    return False


def check_and_load_keys():
    # 从 keys.txt 文件中读取 key
    keys = []
    keys_file = os.path.join(os.getcwd(), "keys.txt")
    if not os.path.exists(keys_file):
        print("keys.txt 文件不存在\n新建keys.txt文件。")
        with open(keys_file, "w", encoding="utf-8") as f:
            f.write("")
        exit(0)

    with open(keys_file, "r", encoding="utf-8") as f:
        keys = [line.strip() for line in f.readlines()]
    if keys:
        return keys
    else:
        print("keys.txt 文件为空\n请填写key。")
        exit(0)


async def fetch_page(client, url):
    try:
        response = await client.get(url)
        response.raise_for_status()  # 检查请求是否成功
        return response.text
    except httpx.HTTPError as e:
        print(f"请求失败: {e}")
        return None


def extract_image_links(content):
    # 使用正则表达式提取图片链接
    pattern = r'<meta itemprop="image" content="(.*?)">'
    image_links = re.findall(pattern, content)
    return image_links


def clean_folder_name(title):
    # 清洗标题，使其成为 Windows 文件夹合法字符
    invalid_chars = r'[<>:"/\\|?*\x00-\x1F]'
    title = re.sub(invalid_chars, '_', title)  # 替换非法字符为下划线
    title = title.replace(" ", "")  # 删除空格
    title = title.replace("_", "")  # 删除下划线
    return title.strip()


async def get_urls(key):
    # 这里判定一下, 这个 key 是否已经爬取过
    is_exists = check_urls_json_exists(key)
    if is_exists:
        print(f"{key}.json 文件已存在，跳过爬取。")
        return

    base_url = f"https://www.kaizty.com/photos/{key}.html?page="
    data = {}
    folder_name = "default_folder"  # 默认文件夹名
    async with httpx.AsyncClient(proxies=proxies) as client:
        n = 1
        for page in range(1, 30):
            url = base_url + str(page)
            print(f"正在爬取页面: {url}")
            content = await fetch_page(client, url)
            if content is None:
                print(f"无法获取页面内容: {url}")
                continue

            # 检查页面内容是否为空
            if "EMPTY" in content:
                print("页面内容为空，停止爬取。")
                break

            # 获取标题（仅在第一页获取）
            if page == 1:
                title_pattern = r'<title>(.*?)</title>'
                title_match = re.search(title_pattern, content)
                if title_match:
                    title = title_match.group(1)
                    folder_name = clean_folder_name(title)
                    print(f"页面标题: {title}")
                    print(f"清洗后的文件夹名: {folder_name}")
                else:
                    print("无法获取页面标题，使用默认文件夹名。")

            # 提取图片链接
            image_links = extract_image_links(content)
            if image_links:
                print(f"在页面 {url} 中找到图片链接：")
                for link in image_links:
                    print(link)
                    prefix = str(n).zfill(3)
                    suffix = link.split('.')[-1]
                    img_name = f'{prefix}.{suffix}'
                    data[img_name] = link
                    n += 1
            else:
                print(f"页面 {url} 中未找到图片链接。")

    # 创建文件夹并保存数据
    downloads_path = os.path.join(os.getcwd(), "downloads")
    if not os.path.exists(downloads_path):
        os.makedirs(downloads_path)
        print("创建了 downloads 文件夹。")

    folder_path = os.path.join(downloads_path, folder_name)
    if not os.path.exists(folder_path):
        os.makedirs(folder_path)
        print(f"创建了文件夹: {folder_path}")

    data_file_path = os.path.join(folder_path, f"{key}.json")
    with open(data_file_path, "w", encoding="utf-8") as f:
        json.dump(data, f, ensure_ascii=False, indent=4)
    print(f"数据已保存到 {data_file_path}")

    return [folder_name, data_file_path]


def load_imgs_url_and_patn():
    result = []
    downloads_path = os.path.join(os.getcwd(), "downloads")
    for root, dirs, files in os.walk(downloads_path):
        for file in files:
            if file.endswith(".json"):
                json_path = os.path.join(root, file)
                with open(json_path, "r", encoding="utf-8") as f:
                    data = json.load(f)
                    for img_name, img_url in data.items():
                        img_path = os.path.join(root, img_name)
                        if not os.path.exists(img_path):
                            result.append([img_path, img_url])
    return result


def save_img(client, img_path, img_url, max_retries=999):
    retries = 0
    headers = {
        "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",
        "Accept-Encoding": "gzip, deflate, br, zstd",
        "Accept-Language": "zh-CN,zh;q=0.9",
        "Priority": "u=0, i",
        "Sec-CH-UA": '"Chromium";v="134", "Not:A-Brand";v="24", "Google Chrome";v="134"',
        "Sec-CH-UA-Mobile": "?1",
        "Sec-CH-UA-Platform": '"Android"',
        "Sec-Fetch-Dest": "document",
        "Sec-Fetch-Mode": "navigate",
        "Sec-Fetch-Site": "none",
        "Sec-Fetch-User": "?1",
        "Upgrade-Insecure-Requests": "1",
        "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"
    }

    while retries < max_retries:
        try:
            # 使用传入的 client 下载图片，并设置请求头
            response = client.get(img_url, headers=headers, timeout=10)
            response.raise_for_status()  # 检查请求是否成功

            # 保存图片到指定路径
            os.makedirs(os.path.dirname(img_path), exist_ok=True)
            with open(img_path, "wb") as f:
                f.write(response.content)
            print(f"图片已下载并保存到 {img_path}")
            time.sleep(random.uniform(1, 1.5))
            return  # 成功下载后退出函数
        except httpx.HTTPStatusError as e:
            switch_to_random_proxy()
            if e.response.status_code == 429:
                # 如果是 429 错误，获取 Retry-After 时间
                retry_after = int(e.response.headers.get('Retry-After', 3))
                print(f"遇到 429 错误，等待 {retry_after} 秒后重试...")
                time.sleep(retry_after)
                retries += 1
            else:
                print(f"下载图片失败: {img_path.split('/')[-1]}，错误码: {e.response.status_code}")
                break
        except Exception as e:
            print(f"保存图片时发生错误: {e}")
            break
    if retries == max_retries:
        print(f"图片下载失败，已达到最大重试次数: {img_path}")

def switch_to_random_proxy(clash_api_url="http://127.0.0.1:9090", group_name="GLOBAL"):
    """
    随机切换代理组中的一个节点（排除当前节点和 DIRECT/REJECT）

    :param clash_api_url: Clash RESTful API 地址，默认为 "http://127.0.0.1:9090"
    :param group_name: 代理组名称，默认为 "GLOBAL"
    """
    try:
        # 获取代理组的所有节点
        response = httpx.get(f"{clash_api_url}/proxies")
        response.raise_for_status()
        proxies = response.json()

        if group_name not in proxies['proxies']:
            print(f"代理组 '{group_name}' 不存在")
            return

        group_info = proxies['proxies'][group_name]
        if group_info['type'] != 'Selector':
            print(f"'{group_name}' 不是 Selector 类型的代理组")
            return

        # 获取当前使用的节点
        current_node = group_info['now']
        print(f"当前节点: {current_node}")

        # 获取所有可选节点（排除 DIRECT 和 REJECT）
        nodes = [node for node in group_info['all'] if node not in ["DIRECT", "REJECT"]]
        if not nodes:
            print("没有可用的代理节点")
            return

        # 随机选择一个非当前节点的代理
        available_nodes = [node for node in nodes if node != current_node]
        if not available_nodes:
            print("没有其他可用的代理节点")
            return

        random_node = random.choice(available_nodes)
        print(f"正在切换到随机节点: {random_node}")

        # 切换节点
        switch_url = f"{clash_api_url}/proxies/{group_name}"
        response = httpx.put(switch_url, json={"name": random_node})
        if response.status_code == 204:
            print(f"成功切换到节点: {random_node}")
        else:
            print(f"切换节点失败: {response.status_code}")

    except httpx.exceptions.RequestException as e:
        print(f"请求失败: {e}")

def main():
    keys = check_and_load_keys()

    # 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
    downloads_path = os.path.join(os.getcwd(), "downloads")
    if not os.path.exists(downloads_path):
        os.makedirs(downloads_path)
        print("创建了 downloads 文件夹。")

    for key in keys:
        # 调用异步函数
        result = asyncio.run(get_urls(key))
        if result:
            folder_name = result[0]
            data_file_path = result[1]
            print(f"处理完成，文件夹名称: {folder_name}, 数据保存路径: {data_file_path}")

    print(f'已获取全部keys的url数据, 开始下载图片')
    time.sleep(0.1)

    all_data = load_imgs_url_and_patn()

    # 创建一个全局的 httpx.Client 实例
    with httpx.Client(proxies=proxies) as client:
        # 使用线程池并发下载图片
        with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
            futures = []
            for img_path, img_url in all_data:
                futures.append(executor.submit(save_img, client, img_path, img_url))

            # 等待所有线程完成
            for future in concurrent.futures.as_completed(futures):
                future.result()  # 捕获异常（如果有）

    print("所有图片下载完成！")


if __name__ == "__main__":
    main()