"""Schemas — Resume vs JD screening match (SOW AI screening)."""

from typing import Any
from uuid import UUID

from pydantic import BaseModel, Field

from app.schemas.common import StubMeta


class ResumeMatchRequest(BaseModel):
    """POST /api/v1/resume-match/score"""

    correlation_id: UUID | None = None
    candidate_id: str | None = None
    role_title: str
    job_description: str = Field(..., min_length=20)
    resume_text: str | None = None
    resume_structured: dict[str, Any] = Field(default_factory=dict)
    required_skills: list[str] = Field(default_factory=list)
    language: str = Field(default="en", min_length=2, max_length=10)
    options: dict[str, Any] = Field(default_factory=dict)


class ResumeMatchResponse(StubMeta):
    correlation_id: UUID | None = None
    candidate_id: str | None = None
    role_title: str
    match_score: float | None = None
    screen_passed: bool | None = None
    matched_skills: list[str] = Field(default_factory=list)
    missing_skills: list[str] = Field(default_factory=list)
    summary: str | None = None