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| from enum import Enum | |
| from pydantic import BaseModel, Field, HttpUrl | |
| class Verdict(str, Enum): | |
| legitimate = "legitimate" | |
| likely_legitimate = "likely_legitimate" | |
| uncertain = "uncertain" | |
| likely_fake = "likely_fake" | |
| fake = "fake" | |
| class FactCheckRequest(BaseModel): | |
| url: HttpUrl | None = None | |
| class ArtifactContext(BaseModel): | |
| source_url: str | |
| title: str | None = None | |
| caption: str | None = None | |
| description: str | None = None | |
| text: str | None = None | |
| image_key_info: str | None = None | |
| images: list[str] = Field(default_factory=list) | |
| videos: list[str] = Field(default_factory=list) | |
| class EvidenceItem(BaseModel): | |
| title: str | |
| url: str | |
| snippet: str | |
| source: str | None = None | |
| stance: str = "neutral" | |
| credibility: float = 0.5 | |
| class ScoreCard(BaseModel): | |
| legitimacy: int | |
| evidence_strength: int | |
| source_credibility: int | |
| contradiction_risk: int | |
| class FactCheckReport(BaseModel): | |
| url: str | None = None | |
| context_summary: str | |
| image_key_info: str | None = None | |
| key_claims: list[str] | |
| evidence: list[EvidenceItem] | |
| scores: ScoreCard | |
| verdict: Verdict | |
| verdict_reason: str | |
| class FactCheckResponse(FactCheckReport): | |
| id: str | |