91 lines
2.4 KiB
Python
91 lines
2.4 KiB
Python
"""Article schemas."""
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from __future__ import annotations
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from datetime import datetime
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from pydantic import BaseModel, ConfigDict, Field
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class SourceBrief(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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id: int
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name: str
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slug: str
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region: str | None = None
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class ArticleListItem(BaseModel):
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"""列表项:精简字段。"""
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model_config = ConfigDict(from_attributes=True)
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id: int
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source: SourceBrief
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title: str
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title_zh: str | None = None
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summary_zh: str | None = None
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lang_src: str | None = None
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translation_status: str
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category: str | None = None
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published_at: datetime | None = None
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fetched_at: datetime
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image_url: str | None = None
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is_starred: bool = False
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class ArticleDetail(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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id: int
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source: SourceBrief
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url: str
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title: str
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body_html: str | None = None
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body_text: str
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title_zh: str | None = None
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body_zh_html: str | None = None
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body_zh_text: str | None = None
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body_zh_formatted: str | None = None # LLM 排版后
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summary_zh: str | None = None
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lang_src: str | None = None
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author: str | None = None
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image_url: str | None = None
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image_ai_url: str | None = None # LLM 生成的插图
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translation_status: str
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translation_engine: str | None = None
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translated_at: datetime | None = None
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# === LLM 增强状态 + 内容 ===
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category: str | None = None
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format_status: str | None = None # pending/ok/failed/n/a
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classify_status: str | None = None
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image_ai_status: str | None = None
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commentary_status: str | None = None
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commentary: str | None = None
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entities: dict | None = None
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sentiment: float | None = None
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duplicate_of: int | None = None
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published_at: datetime | None = None
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fetched_at: datetime
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is_starred: bool = False
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class ArticleListResponse(BaseModel):
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items: list[ArticleListItem]
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next_cursor: str | None = None
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total: int | None = None
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class ArticleQuery(BaseModel):
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"""用作 ?query= 解析参考(实际 FastAPI 直接用 Query)。"""
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since: datetime | None = None
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until: datetime | None = None
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source: str | None = None # 逗号分隔 slug
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category: str | None = None
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q: str | None = None
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lang: str = Field(default="both", pattern=r"^(src|zh|both)$")
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limit: int = Field(default=50, ge=1, le=200)
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cursor: str | None = None
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starred_only: bool = False
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