d2c262973e
- zhihu_extractor.py: - 添加 URL_PATTERNS 支持 answer 和 question - 添加 _extract_answer_content() 方法提取知乎回答 - 添加 _extract_question_content() 方法提取知乎问题 - zhihu_metadata.py: - 添加 extract_answer() 函数 - 添加 extract_question() 函数 - 更新命令行参数支持 answer/question 类型 - 更新帮助文档
199 lines
5.6 KiB
Python
199 lines
5.6 KiB
Python
#!/usr/bin/env python3
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"""
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知乎元数据获取工具
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支持以下内容类型:
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- zvideo: 知乎视频 (https://www.zhihu.com/zvideo/xxx)
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- zhuanlan: 知乎专栏文章 (https://zhuanlan.zhihu.com/p/xxx)
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- answer: 知乎回答 (https://www.zhihu.com/question/xxx/answer/yyy)
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- question: 知乎问题 (https://www.zhihu.com/question/xxx)
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"""
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import argparse
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import json
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import sys
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import os
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from typing import Dict, Optional, Any
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# 添加当前目录到 Python 路径
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current_dir = os.path.dirname(os.path.abspath(__file__))
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if current_dir not in sys.path:
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sys.path.insert(0, current_dir)
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from zhihu_extractor import ZhihuPlaywrightExtractor
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def extract_zvideo(video_id: str, headless: bool = True) -> Dict[str, Any]:
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"""
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获取知乎视频元数据
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Args:
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video_id: 视频 ID (数字字符串)
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headless: 是否使用无头浏览器
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Returns:
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视频元数据字典
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"""
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url = f"https://www.zhihu.com/zvideo/{video_id}"
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return _extract_metadata(url, "zvideo", headless)
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def extract_zhuanlan(article_id: str, headless: bool = True) -> Dict[str, Any]:
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"""
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获取知乎专栏文章元数据
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Args:
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article_id: 文章 ID (数字字符串)
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headless: 是否使用无头浏览器
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Returns:
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文章元数据字典
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"""
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url = f"https://zhuanlan.zhihu.com/p/{article_id}"
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return _extract_metadata(url, "zhuanlan", headless)
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def extract_answer(answer_id: str, headless: bool = True) -> Dict[str, Any]:
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"""
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获取知乎回答元数据
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Args:
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answer_id: 回答 ID (数字字符串)
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headless: 是否使用无头浏览器
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Returns:
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回答元数据字典
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"""
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# 回答需要构建包含问题ID的URL,但answer_id本身足以识别
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# 使用一个占位符问题ID,因为提取器会从URL中提取answer_id
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url = f"https://www.zhihu.com/question/0/answer/{answer_id}"
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return _extract_metadata(url, "answer", headless)
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def extract_question(question_id: str, headless: bool = True) -> Dict[str, Any]:
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"""
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获取知乎问题元数据
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Args:
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question_id: 问题 ID (数字字符串)
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headless: 是否使用无头浏览器
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Returns:
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问题元数据字典
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"""
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url = f"https://www.zhihu.com/question/{question_id}"
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return _extract_metadata(url, "question", headless)
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def _extract_metadata(url: str, content_type: str, headless: bool) -> Dict[str, Any]:
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"""
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内部函数:提取元数据
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Args:
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url: 知乎 URL
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content_type: 内容类型 (zvideo/zhuanlan)
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headless: 是否使用无头浏览器
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Returns:
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元数据字典
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"""
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extractor = ZhihuPlaywrightExtractor(headless=headless)
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result = extractor.extract(url)
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if result:
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# 标准化输出格式
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metadata = {
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"type": content_type,
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"id": result.get("content_id", ""),
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"url": result.get("url", url),
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"title": result.get("title", ""),
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"author": result.get("author", ""),
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"publish_time": result.get("publish_time", ""),
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"vote_up": result.get("vote_up", 0),
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"content_markdown": result.get("content_markdown", ""),
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"raw_html": result.get("content", ""),
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}
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return metadata
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else:
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return {
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"type": content_type,
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"error": "Failed to extract content",
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"url": url
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}
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def main():
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"""命令行入口"""
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parser = argparse.ArgumentParser(
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description="知乎元数据获取工具",
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formatter_class=argparse.RawDescriptionHelpFormatter,
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epilog="""
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支持的类型:
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zvideo - 知乎视频 (https://www.zhihu.com/zvideo/123456)
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zhuanlan - 知乎专栏文章 (https://zhuanlan.zhihu.com/p/123456)
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answer - 知乎回答 (https://www.zhihu.com/question/xxx/answer/yyy)
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question - 知乎问题 (https://www.zhihu.com/question/xxx)
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示例:
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python zhihu_metadata.py --id "123456" --type zvideo
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python zhihu_metadata.py --id "123456" --type zhuanlan
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python zhihu_metadata.py --id "123456" --type answer
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python zhihu_metadata.py --id "123456" --type question
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"""
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)
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parser.add_argument(
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"--id", "-i",
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required=True,
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help="知乎内容 ID (视频ID/文章ID/回答ID/问题ID)"
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)
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parser.add_argument(
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"--type", "-t",
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required=True,
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choices=["zvideo", "zhuanlan", "answer", "question"],
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help="内容类型: zvideo=视频, zhuanlan=专栏文章, answer=回答, question=问题"
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)
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parser.add_argument(
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"--output", "-o",
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default=None,
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help="输出文件路径 (默认: stdout)"
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)
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parser.add_argument(
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"--headless",
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action="store_true",
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default=True,
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help="使用无头浏览器模式 (默认: True)"
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)
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args = parser.parse_args()
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# 提取元数据
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if args.type == "zvideo":
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result = extract_zvideo(args.id, headless=args.headless)
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elif args.type == "zhuanlan":
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result = extract_zhuanlan(args.id, headless=args.headless)
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elif args.type == "answer":
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result = extract_answer(args.id, headless=args.headless)
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elif args.type == "question":
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result = extract_question(args.id, headless=args.headless)
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else:
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print(f"不支持的类型: {args.type}")
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sys.exit(1)
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# 输出结果
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json_output = json.dumps(result, ensure_ascii=False, indent=2)
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if args.output:
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with open(args.output, 'w', encoding='utf-8') as f:
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f.write(json_output)
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print(f"结果已保存到: {args.output}")
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else:
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print(json_output)
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if __name__ == "__main__":
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main()
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