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| # api/schemas.py | |
| from typing import List, Optional | |
| from pydantic import BaseModel, Field | |
| # ===================================================== | |
| # Request Schema | |
| # ===================================================== | |
| class AnalyzeRequest(BaseModel): | |
| title: str = Field(..., min_length=3) | |
| description: str = Field(..., min_length=5) | |
| abstract: Optional[str] = "" | |
| features: Optional[List[str]] = [] | |
| top_k: Optional[int] = 5 | |
| class ChatRequest(BaseModel): | |
| user_id: str = Field("default_user", min_length=1) | |
| message: str = Field(..., min_length=1) | |
| class ChatResponse(BaseModel): | |
| user_id: str | |
| response: str | |
| # ===================================================== | |
| # Result Item | |
| # ===================================================== | |
| class SimilarProject(BaseModel): | |
| project_id: int | |
| project_title: str | |
| semantic_score: float | |
| feature_score: float | |
| hybrid_score: float | |
| originality_score: float | |
| duplicate_risk: str | |
| # ===================================================== | |
| # Response Schema | |
| # ===================================================== | |
| class AnalyzeResponse(BaseModel): | |
| extracted_features: List[str] | |
| results: List[SimilarProject] | |