58 lines
1.2 KiB
Python
58 lines
1.2 KiB
Python
import uuid
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from datetime import datetime
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from pydantic import BaseModel
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class CitationResponse(BaseModel):
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id: uuid.UUID
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query_id: uuid.UUID
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platform: str
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cited: bool
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citation_position: int | None
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citation_text: str | None
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competitor_brands: list[str]
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confidence: float | None
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match_type: str | None
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# 引用源分析字段
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data_source: str | None = None
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source_urls: list[str] | None = None
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source_titles: list[str] | None = None
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citation_contexts: list[str] | None = None
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ai_response_text: str | None = None
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queried_at: datetime
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model_config = {"from_attributes": True}
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class CitationListResponse(BaseModel):
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items: list[CitationResponse]
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total: int
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class PlatformStats(BaseModel):
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queries: int
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citations: int
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rate: float
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avg_position: float | None
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class TrendItem(BaseModel):
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date: str
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citations: int
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class CitationStatsResponse(BaseModel):
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total_queries: int
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total_citations: int
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citation_rate: float
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avg_position: float | None
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by_platform: dict[str, PlatformStats]
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trend: list[TrendItem]
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class RunNowResponse(BaseModel):
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task_id: uuid.UUID
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status: str
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message: str
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