test(02-03): add failing tests for ZhihuAdapter
- Test answer content extraction - Test zhuanlan (article) content extraction - Test cookie-based authentication - Test login page detection - Test AuthError handling for missing/expired cookies Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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"""Zhihu Platform Adapter
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Provides content extraction for Zhihu platform:
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- Answer extraction from question/answer URLs
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- Zhuanlan (article) extraction from zhuanlan URLs
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- Cookie-based authentication
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- Login page detection for expired cookies
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"""
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from typing import Dict, Any, Optional
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from datetime import datetime
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import re
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from kb_pipeline.platforms.base import PlatformAdapter
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from kb_pipeline.errors import AuthError
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from kb_pipeline.config import get_settings
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class ZhihuAdapter(PlatformAdapter):
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"""Zhihu platform adapter for answer and zhuanlan content extraction.
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Uses ZhihuPlaywrightExtractor (from kb_zhihu_metadata) for content extraction.
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Requires KB_ZHIHU_COOKIE environment variable for authentication.
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Example:
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adapter = ZhihuAdapter()
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content_type = adapter.get_content_type("https://www.zhihu.com/question/123/answer/456")
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# -> "answer"
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metadata = await adapter.fetch_metadata("456", "answer")
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content = await adapter.fetch_content("456", "answer")
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"""
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PLATFORM = "zhihu"
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# URL patterns for content type detection
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ANSWER_PATTERN = re.compile(r'zhihu\.com/question/\d+/answer/(\d+)')
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ZHUANLAN_PATTERN = re.compile(r'zhuanlan\.zhihu\.com/p/([\w\d]+)')
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QUESTION_PATTERN = re.compile(r'zhihu\.com/question/(\d+)(?!/answer)')
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def __init__(self, headless: bool = True, timeout: int = 30):
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"""Initialize ZhihuAdapter.
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Args:
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headless: Run browser in headless mode (default: True)
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timeout: Page load timeout in seconds (default: 30)
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"""
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self.headless = headless
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self.timeout = timeout
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self._cookie: Optional[str] = None
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self._extractor = None
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@property
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def cookie(self) -> str:
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"""Get Zhihu cookie from settings.
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Returns:
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Cookie string from KB_ZHIHU_COOKIE environment variable.
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Returns empty string if not configured.
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"""
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if self._cookie is None:
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settings = get_settings()
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self._cookie = settings.zhihu_cookie.get_secret_value()
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return self._cookie
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def get_content_type(self, url: str) -> str:
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"""Identify content type from URL.
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Args:
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url: The content URL to analyze
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Returns:
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Content type: 'answer', 'zhuanlan', or 'unknown'
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"""
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if self.ANSWER_PATTERN.search(url):
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return "answer"
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elif self.ZHUANLAN_PATTERN.search(url):
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return "zhuanlan"
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return "unknown"
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def _get_extractor(self):
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"""Get or create ZhihuPlaywrightExtractor instance.
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Lazy import to avoid dependency issues when kb_zhihu_metadata is not installed.
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Returns:
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ZhihuPlaywrightExtractor instance
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"""
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if self._extractor is None:
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try:
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from kb_zhihu_metadata.zhihu_extractor import ZhihuPlaywrightExtractor
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self._extractor = ZhihuPlaywrightExtractor(
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headless=self.headless,
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timeout=self.timeout,
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cookie=self.cookie
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)
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except ImportError as e:
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raise ImportError(
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"kb_zhihu_metadata package not found. "
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"Please install it to use ZhihuAdapter."
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) from e
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return self._extractor
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def _extract_with_playwright(self, url: str) -> Optional[Dict[str, Any]]:
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"""Extract content using Playwright-based extractor.
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Args:
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url: Full URL to extract content from
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Returns:
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Extraction result dictionary or None if extraction failed
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"""
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extractor = self._get_extractor()
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return extractor.extract(url)
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def _detect_login_page(self, result: Dict[str, Any]) -> bool:
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"""Detect if the result indicates a login page redirect.
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This happens when the cookie has expired or is invalid.
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Args:
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result: Extraction result dictionary
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Returns:
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True if login page is detected, False otherwise
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"""
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if not result:
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return False
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title = result.get("title", "")
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content = result.get("content", "")
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content_markdown = result.get("content_markdown", "")
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# Check for login-related indicators
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login_indicators = ["登录", "登陆", "sign in", "login"]
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title_lower = title.lower()
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# If title contains login keywords
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if any(indicator in title_lower for indicator in login_indicators):
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return True
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# If content is suspiciously short (login page has minimal content)
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total_content = content + content_markdown
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if len(total_content.strip()) < 100:
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return True
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return False
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async def fetch_metadata(self, content_id: str, content_type: str) -> Dict[str, Any]:
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"""Fetch metadata for the content.
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Args:
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content_id: Answer ID or article ID
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content_type: 'answer' or 'zhuanlan'
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Returns:
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Dictionary containing metadata (title, author, publish_time, etc.)
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Raises:
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AuthError: If cookie is missing or expired
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"""
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# Check for missing cookie
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if not self.cookie:
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raise AuthError(
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step_name="zhihu_metadata",
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input_summary=f"content_id={content_id}, type={content_type}",
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auth_type="zhihu_cookie",
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)
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# Build URL based on content type
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if content_type == "answer":
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# For answers, we need the question ID too, but extractor handles this
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url = f"https://www.zhihu.com/question/0/answer/{content_id}"
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elif content_type == "zhuanlan":
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url = f"https://zhuanlan.zhihu.com/p/{content_id}"
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else:
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raise ValueError(f"Unsupported content type: {content_type}")
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# Extract content
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result = self._extract_with_playwright(url)
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# Check for login page
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if self._detect_login_page(result):
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raise AuthError(
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step_name="zhihu_metadata",
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input_summary=f"content_id={content_id}, type={content_type}",
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auth_type="zhihu_cookie",
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cause=Exception("Cookie may have expired, please update KB_ZHIHU_COOKIE")
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)
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if not result:
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raise AuthError(
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step_name="zhihu_metadata",
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input_summary=f"content_id={content_id}, type={content_type}",
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auth_type="zhihu_cookie",
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cause=Exception("Failed to extract content, check if content exists")
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)
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return result
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async def fetch_content(self, content_id: str, content_type: str) -> str:
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"""Fetch content in Markdown format.
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Args:
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content_id: Answer ID or article ID
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content_type: 'answer' or 'zhuanlan'
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Returns:
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Markdown-formatted content with YAML frontmatter
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Raises:
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AuthError: If cookie is missing or expired
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"""
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# Get metadata (which also validates auth)
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metadata = await self.fetch_metadata(content_id, content_type)
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# Get content markdown
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content_markdown = metadata.get("content_markdown", "") or metadata.get("content", "")
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# Format with YAML frontmatter
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return self._format_with_frontmatter(metadata, content_markdown, content_type)
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def _format_with_frontmatter(
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self,
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metadata: Dict[str, Any],
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content: str,
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content_type: str
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) -> str:
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"""Format content with YAML frontmatter.
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Args:
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metadata: Content metadata dictionary
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content: Markdown content
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content_type: 'answer' or 'zhuanlan'
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Returns:
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Formatted string with YAML frontmatter and content
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"""
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frontmatter_lines = [
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"---",
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f"title: {metadata.get('title', '')}",
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f"author: {metadata.get('author', '')}",
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f"source_url: {metadata.get('url', '')}",
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f"platform: {self.PLATFORM}",
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f"content_type: {content_type}",
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f"fetched_at: {datetime.now().isoformat()}",
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"---",
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"",
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]
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return "\n".join(frontmatter_lines) + content
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def get_output_filename(self, content_id: str, content_type: str, suffix: str) -> str:
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"""Generate output filename for the content.
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Args:
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content_id: Answer ID or article ID
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content_type: 'answer' or 'zhuanlan'
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suffix: File suffix (e.g., 'metadata.json', 'content.md')
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Returns:
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Filename string (e.g., 'zhihu_789012_metadata.json')
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"""
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return f"zhihu_{content_id}_{suffix}"
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