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"""Zhihu Crawler Data Models
Pydantic models for structured data from Zhihu API responses.
"""
from typing import Optional, Union, List
from pydantic import BaseModel, Field
class AuthorInfo(BaseModel):
"""Author information from Zhihu content.
Attributes:
name: Author display name
url_token: Author URL token (e.g., 'zhang-san-12')
headline: Author bio/headline
"""
name: str = Field(..., description="Author display name")
url_token: Optional[str] = Field(None, description="Author URL token")
headline: Optional[str] = Field(None, description="Author bio/headline")
class ContentMetadata(BaseModel):
"""Metadata for Zhihu content (answers, articles, etc).
Attributes:
author: Author information
voteup_count: Number of upvotes/likes
comment_count: Number of comments
created_time: Unix timestamp of creation
updated_time: Unix timestamp of last update
"""
author: Optional[AuthorInfo] = Field(None, description="Author info")
voteup_count: int = Field(default=0, description="Upvote count")
comment_count: int = Field(default=0, description="Comment count")
created_time: Optional[int] = Field(None, description="Creation timestamp")
updated_time: Optional[int] = Field(None, description="Update timestamp")
class AnswerData(BaseModel):
"""Data model for Zhihu answer.
Attributes:
id: Answer ID
question_id: Question ID this answer belongs to
question_title: Title of the question
content: Answer content in HTML format
excerpt: Plain text excerpt/summary
metadata: Additional metadata (author, votes, etc.)
"""
id: int = Field(..., description="Answer ID")
question_id: int = Field(..., description="Question ID")
question_title: str = Field(..., description="Question title")
content: str = Field(default="", description="Answer content (HTML)")
excerpt: str = Field(default="", description="Plain text excerpt")
metadata: ContentMetadata = Field(
default_factory=ContentMetadata,
description="Content metadata"
)
class ArticleData(BaseModel):
"""Data model for Zhihu zhuanlan article.
Attributes:
id: Article ID
title: Article title
content: Article content in HTML format
excerpt: Plain text excerpt/summary
metadata: Additional metadata (author, votes, etc.)
"""
id: int = Field(..., description="Article ID")
title: str = Field(..., description="Article title")
content: str = Field(default="", description="Article content (HTML)")
excerpt: str = Field(default="", description="Plain text excerpt")
metadata: ContentMetadata = Field(
default_factory=ContentMetadata,
description="Content metadata"
)
class CommentAuthor(BaseModel):
"""Comment author information.
Attributes:
name: Author display name
url_token: Author URL token (e.g., 'zhang-san-12')
"""
name: str = Field(..., description="Author display name")
url_token: Optional[str] = Field(None, description="Author URL token")
class CommentData(BaseModel):
"""Data model for Zhihu comment.
Attributes:
id: Comment ID
content: Comment content in plain text
author: Comment author information
created_time: Unix timestamp of creation
like_count: Number of likes/upvotes
child_count: Number of child/reply comments
is_author: Whether the commenter is the content author
"""
id: int = Field(..., description="Comment ID")
content: str = Field(default="", description="Comment content")
author: Optional[CommentAuthor] = Field(None, description="Comment author")
created_time: Optional[int] = Field(None, description="Creation timestamp")
like_count: int = Field(default=0, description="Like/upvote count")
child_count: int = Field(default=0, description="Number of child comments")
is_author: bool = Field(default=False, description="Whether commenter is content author")
class CommentsResult(BaseModel):
"""Result of comment crawling operation.
Attributes:
content_type: Type of content ("answers" or "articles")
content_id: ID of the content
comments: List of comments
total_count: Total number of comments (may exceed returned count)
"""
content_type: str = Field(..., description="Content type: answers or articles")
content_id: int = Field(..., description="Content ID")
comments: List[CommentData] = Field(
default_factory=list,
description="List of comments"
)
total_count: int = Field(default=0, description="Total comment count")
class CrawlResult(BaseModel):
"""Result of a crawl operation.
Attributes:
success: Whether the crawl was successful
content_type: Type of content ("answer" or "article")
data: Extracted content data if successful
comments: Optional list of comments (when include_comments=True)
error: Error message if failed
"""
success: bool = Field(..., description="Whether crawl succeeded")
content_type: str = Field(default="", description="Content type: answer or article")
data: Optional[Union[AnswerData, ArticleData]] = Field(
None,
description="Extracted content data"
)
comments: Optional[List[CommentData]] = Field(
None,
description="Comments if include_comments was True"
)
error: Optional[str] = Field(None, description="Error message if failed")