schemas.py

from pydantic import BaseModel
from typing import List, Optional, Dict, Any


class Candidate(BaseModel):
    id: str
    name: str
    email: Optional[str] = None
    skills: Optional[str] = None
    experience: Optional[str] = None
    projects: Optional[str] = None
    education: Optional[str] = None
    resume_text: Optional[str] = None
    data: Optional[Dict[str, Any]] = None


class NormalizedCandidate(BaseModel):
    candidate_id: str
    name: str
    normalized_title: str
    experience_years: float
    primary_skills: List[str]
    secondary_skills: List[str]
    backend_score: float
    frontend_score: float
    cloud_score: float
    database_score: float
    notice_period_days: int
    location: str
    employment_status: str
    salary_expectation: str
    flags: List[str]


class RerankResult(BaseModel):
    candidate_id: str
    scores: Dict[str, float]
    final_score: float
    decision: str


class DeepReview(BaseModel):
    candidate_id: str
    verdict: str
    why: str
    strengths: List[str]
    risks: List[str]
    hidden_signal: str
    confidence: float


class FinalRank(BaseModel):
    rank: int
    candidate_id: str
    name: str
    decision: str
    reason: str


class FinalShortlist(BaseModel):
    final_ranking: List[FinalRank]


class EvaluationRequest(BaseModel):
    jd: str
    candidates: List[Candidate]


class EvaluationResponse(BaseModel):
    shortlist: List[FinalRank]
    details: Dict[str, Any]