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| from pydantic import BaseModel, Field | |
| from typing import List, Optional | |
| class Skill(BaseModel): | |
| score: Optional[int] = Field(None, ge=0, le=10) | |
| feedback: Optional[str] | |
| class Performance(BaseModel): | |
| overallScore: int = Field(..., ge=0, le=10, description="Overall performance score") | |
| verdict: str = Field(..., description="Hire decision", pattern="^(hire|maybe|reject)$") | |
| summaryFeedback: str | |
| skills: Optional[dict] = Field( | |
| default_factory=lambda: { | |
| "technical": Skill(), | |
| "dsa": Skill(), | |
| "problemSolving": Skill(), | |
| "communication": Skill(), | |
| "systemDesign": Skill(), | |
| "projects": Skill(), | |
| "behaviour": Skill(), | |
| } | |
| ) | |
| strengths: Optional[List[str]] = [] | |
| weaknesses: Optional[List[str]] = [] | |
| practiceRecommendations: Optional[List[str]] = [] | |
| studyRecommendations: Optional[List[str]] = [] | |
| lowPriorityOrAvoid: Optional[List[str]] = [] | |
| confidenceLevel: Optional[int] = Field(None, ge=0, le=10) | |