260 lines
7.7 KiB
Python
Executable File
260 lines
7.7 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Phase 2: 下载诗歌内容
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每个诗人的诗歌直接放在诗人目录下
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"""
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import json
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import requests
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import re
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import os
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from datetime import datetime
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from time import sleep
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from pathlib import Path
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import html
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# 路径配置
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CONFIG_DIR = os.path.join(os.path.dirname(__file__), '..', 'config')
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INDEX_FILE = os.path.join(CONFIG_DIR, 'poets_index.json')
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STORAGE_DIR = Path('/home/ubuntu/media/public-domain-poetry')
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DELAY = 5 # 秒
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def load_index():
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"""加载索引"""
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with open(INDEX_FILE, 'r', encoding='utf-8') as f:
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return json.load(f)
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def save_index(index):
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"""保存索引"""
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with open(INDEX_FILE, 'w', encoding='utf-8') as f:
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json.dump(index, f, indent=2, ensure_ascii=False)
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def fetch_poet_page(url):
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"""获取诗人页面(诗歌列表)"""
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headers = {
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'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36'
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}
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response = requests.get(url, headers=headers, timeout=30)
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response.raise_for_status()
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return response.text
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def parse_poems_from_html(html, poet_slug):
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"""从诗人页面解析诗歌列表"""
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poems = []
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# 匹配诗歌链接: <a href="a-h-laidlaw/babylon-22309">Babylon. </a>
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pattern = r'<a\s+href="(' + re.escape(poet_slug) + r'/[^"]+)"[^>]*>([^<]+)</a>'
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matches = re.findall(pattern, html, re.IGNORECASE)
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seen = set()
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for slug, title in matches:
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slug = slug.strip()
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title = title.strip()
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# 去重
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if slug not in seen:
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seen.add(slug)
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poems.append({
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'slug': slug,
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'title': title,
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'url': f"https://www.public-domain-poetry.com/{slug}"
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})
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return poems
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def fetch_poem_content(url):
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"""获取诗歌内容"""
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headers = {
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'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36'
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}
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response = requests.get(url, headers=headers, timeout=30)
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response.raise_for_status()
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return response.text
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def extract_poem_text(html, poet_name, poem_title):
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"""从诗歌页面提取文本内容"""
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# 尝试多种模式提取诗歌内容
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# 查找标题后的内容
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# 格式通常是: Title. By Poet Name ... 诗歌内容 ...
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# 诗歌内容通常在 </center> 或 <p> 标签后
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# 尝试提取 <p> 标签中的内容
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patterns = [
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# 查找诗歌主体部分
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r'<p[^>]*>(.*?)</p>',
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# 查找 font 标签中的内容
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r'<font[^>]*>(.*?)</font>',
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]
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lines = []
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# 尝试提取所有可能的诗歌行
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# 诗歌通常在页面中间,有很多 <br> 或 <p>
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poem_pattern = r'(?:<br\s*/?>\s*|</p>\s*<p[^>]*>\s*)([A-Z][^<]{10,200})(?:<br\s*/?>|</p>)'
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matches = re.findall(poem_pattern, html, re.IGNORECASE | re.DOTALL)
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if matches:
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for match in matches[:100]: # 限制数量
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line = re.sub(r'<[^>]+>', '', match).strip()
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if line and len(line) > 10:
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lines.append(line)
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# 如果没找到,尝试更简单的提取
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if not lines:
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# 查找所有大写开头的行
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all_text = re.sub(r'<[^>]+>', ' ', html)
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all_text = html.unescape(all_text)
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# 查找诗歌部分(通常在 "By 诗人名" 之后)
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poet_pattern = rf'By\s+{re.escape(poet_name)}.*?(\n[A-Z].*?)(?:\n\n|\Z)'
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match = re.search(poet_pattern, all_text, re.DOTALL | re.IGNORECASE)
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if match:
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poem_text = match.group(1)
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lines = [line.strip() for line in poem_text.split('\n') if line.strip()]
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return '\n\n'.join(lines) if lines else None
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def save_poem(poet_slug, poem_slug, title, content, poet_name):
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"""保存诗歌到诗人目录"""
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# 创建诗人目录
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poet_dir = STORAGE_DIR / poet_slug
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poet_dir.mkdir(parents=True, exist_ok=True)
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# 文件名: poem-slug.txt
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poem_file = poet_dir / f"{poem_slug.split('/')[-1]}.txt"
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with open(poem_file, 'w', encoding='utf-8') as f:
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f.write(f"# {title}\n\n")
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f.write(f"Author: {poet_name}\n")
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f.write(f"Source: https://www.public-domain-poetry.com/{poem_slug}\n")
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f.write(f"Downloaded: {datetime.now().isoformat()}\n")
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f.write(f"\n{'='*60}\n\n")
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f.write(content)
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return poem_file
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def download_poet(poet_info):
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"""下载单个诗人的所有诗歌"""
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poet_slug = poet_info['slug']
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poet_name = poet_info['name']
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print(f"\n📖 诗人: {poet_name}")
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try:
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# 获取诗歌列表
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html = fetch_poet_page(poet_info['url'])
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poems = parse_poems_from_html(html, poet_slug)
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if not poems:
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print(f" ⚠️ 未找到诗歌")
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return True, 0
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print(f" 发现 {len(poems)} 首诗歌")
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downloaded_count = 0
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for i, poem in enumerate(poems, 1):
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print(f" [{i}/{len(poems)}] {poem['title'][:40]}...", end=' ')
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try:
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# 获取诗歌内容
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poem_html = fetch_poem_content(poem['url'])
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content = extract_poem_text(poem_html, poet_name, poem['title'])
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if content:
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save_poem(poet_slug, poem['slug'], poem['title'], content, poet_name)
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print("✅")
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downloaded_count += 1
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else:
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print("⚠️ 无内容")
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# 延迟
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if i < len(poems):
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sleep(DELAY)
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except Exception as e:
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print(f"❌ {e}")
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print(f" 完成: {downloaded_count}/{len(poems)} 首")
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return True, downloaded_count
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except Exception as e:
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print(f" ❌ 错误: {e}")
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return False, 0
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def main():
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print("="*60)
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print("📝 Public Domain Poetry - 下载器")
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print("="*60)
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# 加载索引
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if not os.path.exists(INDEX_FILE):
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print("❌ 索引文件不存在,请先运行 fetch_poets.py")
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return
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index = load_index()
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poets = index['poets']
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# 统计
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pending = [p for p in poets if p['status'] == 'pending']
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downloaded = [p for p in poets if p['status'] == 'downloaded']
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failed = [p for p in poets if p['status'] == 'failed']
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print(f"\n📊 当前状态:")
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print(f" 总计诗人: {len(poets)}")
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print(f" 待下载: {len(pending)}")
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print(f" 已完成: {len(downloaded)}")
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print(f" 失败: {len(failed)}")
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if not pending:
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print("\n✅ 所有诗歌已下载完成!")
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return
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print(f"\n⏱️ 下载间隔: {DELAY} 秒")
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print(f" 预计时间: 较长(每个诗人多首诗歌)\n")
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print("开始下载... (按 Ctrl+C 暂停)\n")
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try:
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for i, poet in enumerate(pending, 1):
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print(f"[{i}/{len(pending)}] 诗人: {poet['name']}")
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success, count = download_poet(poet)
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# 更新状态
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poet['status'] = 'downloaded' if success else 'failed'
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poet['download_date'] = datetime.now().isoformat() if success else None
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poet['poems_count'] = count
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# 保存索引
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save_index(index)
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# 诗人之间延迟
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if i < len(pending):
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sleep(DELAY)
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print("\n" + "="*60)
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print("✅ 下载完成!")
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print("="*60)
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except KeyboardInterrupt:
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print("\n\n⚠️ 用户中断")
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print(f"进度已保存,下次会继续从断点下载")
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save_index(index)
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if __name__ == '__main__':
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main()
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